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FLUE GAS DESULFURIZATION: COST AND FUNCTIONAL ANALYSIS OF LARGE SCALE PROVEN PLANTS by Mr. Jean Tilly ,..Sc. Thesis, Chemical Engineering Dept. Massachusetts Institute of Technology, Cambridge, MA 02139 and Energy Laboratory Report No. MIT-EL 33-006 June 1983

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FLUE GAS DESULFURIZATION: COST AND FUNCTIONAL ANALYSIS OF LARGE - SCALE AND PROVEN PLANTS by Jean Tilly

Submitted to the Department of Chemical Engineering

on May 6, 1983 in partial fullfillment of the requirements for the degree of Master of Science in Technology and Policy

ABSTRACT

Flue Gas Desulfurization is a method of controlling the emission of sulfurs, which causes the acid rain. The following study is based on 26 utilities which burn coal, have a generating capacity of at least 50 Megawatts (MW) and whose Flue Gas Desulfurization devices have been operating for at least 5 years. An analysis is made of the capital and annual costs of these systems using a comparison of four main processes: lime, limestone, dual alkali and sodium carbonate scrubbing. The functional analysis, based on operability, allows a readjustment of the annual costs and a determination of the main reasons for failure. Finally four detailed case studies are analyzed and show the evolution of cost and operability along the years.

Thesis Supervisor: Dr. Dan Golomb Title: Visiting Scientist

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ACKNOWLEDGEMENT

a

I would like to express my sincere thanks to Dr. Dan Golomb for his guidance, support and contribution to this thesis. appreciated working with him. I have very much

I also want to thank Jane Schneckenburger for the time and care she took in correcting and editing this thesis.

Finally, Alice Giubellini is greatfully acknowledged for the fine job she did at typing the manuscript.

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TABLE

OF

CONTENTS

Section 1 Introduction
1.1 Origin and Consequences of "Acid Rain" . . . 1.1.1 Origin of "Acid Rain"
. . . . . . . . . . . . ...

1.1.2 Consequences of "Acid Rain" 1.2

.

. . . ...

,

Survey of the Different Methods of Control 1.2.1 Liming . ........... 1.2.2 Coal Washing ......... ...... . .
.

. ..

1.3
1.4 1.5

Definition of the Flue Gas Desulfurization (FGD) .
Objectives ................... Method of Approach ......... . . ... ..

Section 2 Technical Background 2.1 2.2 2.3 Introduction ..... FGD Growth Trends Limestone Scrubbing .... . . . . . . . . . .
. . . . . 20

. . . . . . . . . . . . . . . . . . . .

. 20

. . . . . . . . . . . . . . . . . . . . . 25 . . . . . . . . . . . . . . . . . 25 . . 25 . 28

2.3.1 Process Description 2.3.2 Process Chemistry

. . . . . . . . . . . . . . . .

2.3.3 Description of Equipment Components

. ...

.. . .

2.3.4 Advantages and Disadvantages . . . . . . . . . . . . . . 32
2.4 Lime Scrubbing . . . . . . . . . . . . . . . ... 2.4.1 Process Description 2.4.2 Process Chemistry . .
. . . . . . . ...

. . . . . . 33 . . . . . . 33 . . . . . . 33 . . .... 35

. . . . . . . . . . . ..

2.4.3 Description of Equipment Components

. ...

2.4.4 Advantages and Disadvantages . . . . .

. . . . . . . . . 35

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2.5

Dual Alkali Scrubbing

. . . . . . . . .

. . . . . . . . . . . 36

2.5.1 Process Description 2.5.2 Process Chemistry

. . . . . . . . . . . . . . . . . . 36 . . . . . . . . . . . . . . . . . . . 37

2.5.3 Description of Equipment Components 2.5.4 Advantages and Disadvantages .... 2.6 Sodium Carbonate Scrubbing . ....... 2.6.1 Process Description 2.6.2 Process Chemistry

40 . . . . . . . . . . 41 . . . . . . . . . . 42

. . . . . . . . . . . . . . . . . . 42 . . . . . . . . . . . . . . . . . . . 42

2.6.3 Description of Equipment Components 2.6.4 Advantages and Disadvantages . ...

. . . . . . . . . . 44 . . . . . . . . . . 44

Section 3 Cost Analysis of Proven FGD 3.1 3.2 Introduction . ..... ... .. . ...

. . . . . . . . . . 45

Description of the Methodology . . . .

. . . . . . . . . . . . 46

3.2.1 Collection of the Data . ......

. . . . . . . . . . 46

3.2.2 Description of Cost Elements . . . . . . . . . . . . . . 46 3.2.3 Cost Adjustment Procedure 3.3 . . . . . . . . . . . . . . . 47

Results and Interpretation . ....... 3.3.1 Introduction ...........

. . . . . . . . . . 48 . . . . . . . . . . 48 . . . . . . . . . . 50

3.3.2 Capital and Annual Costs . ..... 3.3.3 Energy Consumption . ........ 3.3.4 Impact on Consumer/Producer

.... . . . . .

. 55

. . . . . . . . . . . . . . 58

3.3.5 Combination of Annual and Capital Costs or Net Present Value 3.3.6 Conclusion . ............

. . . ..

...

59

. . . . .

. . 63

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Section 4 Functional Analysis of Proven FGD
4.1 4.2 Introduction . . . . . . . . . . . . . * . . . . . . . . . . 65

Description of the Methodology . . . . . . . . .

. . . . . 66

4.2.1 Definition of Different Viability Indexes

. . . . . . . 66
. . . . . 68 . . . . . 69 . . . . . 69 . . . . . 78

4.2.2 Collection of the Data . . . . . . . . . . . 4.3 Results and Interpretation . . . . .. ...........

4.3.1 Comparison of the Different Viability Indexes in 1980 or 1981 4.3.2 Evolution of the Operability . . . . . . .

4.3.3 Regulatory Classes and Operability Limit . . . ..... 4.3.4 Main Reasons for Failure . . . . . . . . 4.3.5 Other Performance Indexes 4.4 .
..

81

. . . . . 85
. . . . . 87

......... . . . .

Relation between Operability and Cost

.

.

.

.

.

90

4.4.1 Definition of the Operating Cost . . ... 4.4.2 Average Cost Curve .
. . . . . . . . . . . . . . . . . . . . . .

.

.

.

.

.

90

. . . . . 93 . . . . . 99

4.5

Conclusion

S .

.

.

.

.

Section 5 Case Studies 5.1 5.2 Introduction New Lime Scrubbing, Conesville 5
.
. . S

101
102 102
S . . .

5.2.1 Evolution of the Operability ..
5.2.2 Evolution of the Cost . . .
S S

103 104 106 106 107 108

5.2.3 Problems Encountered . . . .

5.3

New Limestone Scrubbing, Duck Creek 1 5.3.1 Evolution of the Operability .
5.3.2 Evolution of the Cost . . .

.

~
. S S

S

.

5.3.3 Problems Encountered

.....

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5.4

Retrofit Lime Scrubbing, Cane Run 4 5.4.1 Evolution of the Operability 5.4.2 Evolution of the Cost . . ..

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109 109

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110 112

5.4.3 Problems Encountered . . . . . 5.5 Retrofit Limestone Scrubbing, Cholla 5.5.1 Evolution of the Operability . 5.5.2 Evolution of the Cost . . ..

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114 114 114 117 119

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5.5.3 Problems Encountered . . . ..

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5.6

Conclusion . . . . .

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*

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Section 6 Conclusions and Recommendations
6.1 Conclusions . . . . . . . . * . . . . . 120 121

6.2

Recommendations

. .

Appendix

. . . . . . . .

123 123

Definition of the Average and of the Standard Deviation

References

. . . . . . . . . . . . . . . . .

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126

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LIST

OF

TABLES

2.1

Number and Total Capacity of FGD Systems

. .

.

.

S. . S. . S. .

. 21 . 22 . 23

2.2 Power Generation Sources: Present and Future ..... 2.3 FGD Controlled Generation Capacity: Present and Future
2.4 3.1 3.2 3.3 4.1 4.2 4.3 4.4 4.5 5.1 Summary of FGD Systems by Process Escalation Factors . . .. . . . .

. . . . . . . . 24 . . . . . . . . . . 49

Annual and Capital Costs . . . . . . . . . . . . . . . . . . . 51 Cost Index . . . . . . . . . . . . . . . . .

.. . . . . . 62 . . . 71

Viability Indexes in 1980 and 1981

. . . . . . . . .. .

Evolution of the Operability . . . . . Regulatory Classes and Operability Limit The Operating Cost . . . . . . . . . . Quantity Removed and Readjusted Price P FGD hours, Boiler Hours and Capacity Factor for Conesville 5 Annual Cost and Quantity of Sulfur Removed . FGD Hours, Boiler Hours and Capacity Factor for Duck Creek 1 Annual Cost and Quantity of Sulfur Removed . FGD Hours, Boiler Hours and Capacity Factor for Cane Run 4 Annual Cost and Quantity of Sulfur Removed . FGD Hours, Boiler Hours and Capacity Factor for Cholla 1

. . . . . . . . . 79 . ... . . . . 82 . . . . . . . . . . 92 . ... . . . . 96 . .. . . . . . 103
104 107 108

5.2 5.3

.

.

.

.

.

.

5.4 5.5

111
. . . . . .

5.6 5.7

111

115
. . . . . .

5.8

Annual Cost and Quantity of Sulfur Removed .

115

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LIST

OF

FIGURES

1.1 1.2 2.1 2.2 2.3 2.4 3.1 3.2 3.3 3.4 3.5 3.6

S02 Emissions in the 31 Eastern States . NOx Emissions in the 31 Eastern States . Limestone Sludge FGD System

...... ..

. . .......... ..........

. 12 12 26 34 . 38 43 50 52

. . . . . . . ..

Lime Sludge FGD System . . . . . . . . . . . . . . ....... Dual Alkali FGD System . . . . . . . . . . . . . .. . ......... Sodium Carbonate FGD System . . . . . . . . . ........... .. ..

.. .. Four Main FGD Categories . . . . . . . . . . . ........... . .. .. Capital Costs Distribution . . . . . . . . . . ........... Annual Costs Distribution . . . . . . . . . . . .. .. .......... .. .. . . . . . . . ...........

53
56

Energy Consumption Distribution

Annual Cost vs. Design Removal Efficiency

. . . .. .. ..........

57

Classification of the 26 plants according to . . . Size and Cost Index

. . . . . . 61

4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9

. Utilization Index Distribution . . . . . . .. ........... . .. .. Operability Index Distribution . . . . . . . . ........... .. .. Reliability Index Distribution . . . . . . . . ........... Availability Index Distribution . . . . . . . ........... .. ..

70 73 74 76

Capacity Factor Distribution . . . . . . . . .......... Evolution of the Operability . . . . . . .
. . . . . . . . 84

780

Operability Limit Distribution . . . . . .

Scrubber Performance: Low-Sulfur vs High Sulfur Coal
S. . .

. 89

Classification of the 21 Plants Accoriding to Size and Yeager Index

4.10 Cost Index vs. Operability . . . . . . . . . . . . . . . . . . 91 4.11 Average Cost Curve . . . . . . . . . . . . . . . . . .....

94

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5.1
5.2
5.3 5.4 5.5

Evolution of the Operability Conesville 5 . ........
Evolution of the Operability Duck Creek 1
Evolution of the Operability Cane Run 4 Evolution of the Operability Cholla 1 .
. .

102
. 106
110
. . ...

. . . . .. . .
. . .......... .

114 116

Case Studies Average Cost Curves . . . . .

..

.......

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,01' 1 Eli 109

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1 1.1

INTRODUCTION Origin and Consequences of "Acid Rain"

Acid precipitation may be one of the most polarizing yet least understood energy/environment issues of the 1980s. Its implications for

environment quality and national energy policy, particularly regarding increased coal use as a substitute for imported oil are profound.

1.1.1 Origin of "Acid Rain"

The causes of acid precipitation remain an area of wide controversy. Advocates of regulation claim that convincing evidence shows that man-made sources, particularly older coal-fired plants in.the Midwest, cause acid precipitation in the Northeast and in Canada. Opponents of regulation on

the other hand contend that their evidence constitutes insufficient proof. The environmentalists as well as the utility industry recognize that wet and dry acid deposition is now occuring and favor the expansion of monitoring in order to obtain detailed measurements. (Curtis, 1980) Both

also agree that the movement of air masses can transport air pollutants up to many hundreds of miles and that chemical reactions can transform these pollutants into sulfuric and nitric acids. However they disagree on the

quantitative details like transport paths, transformation and deposition rates. Therefore accurate quantitative connections between source regions Figures 1.1 and 1.2 show a breakdown of

and receptor areas are uncertain.

man-made SQ and NOx emission in the U.S. for 1980. 2

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Industrial Boilers --14% Industrial Processes 8% Transportation 44% Other

5%

Other

4%
Utilities

34%

Utilities 74%

Industrial Boilers

17%

Figure 1 .1 SO emissions in the 31 eastern 2 states. Percent of 1980 emis-

Figure 1.2 NOx emissions in the 31 eastern states. Percent of 1980 emis-

sions by source categories.

sions by source categories

Source: U.S.-Canada Work Group 3B under the Memorandum of Intent on Transboundary Air Pollution

These figures show that electric utilities contribute the majority of U.S. SO 2 emissions, and are significant contributers of nitrogen oxides.

Whereas electric utilities account for 74% of all U.S. S02 emmissions from non ferrous smelters, by comparison, which are major sources of Canadian SO2 emmissions (42%) contribute only 8% to total U.S. S02 emissions, and that occurs further west than the areas which are of maximum concern in present acid deposition. Electric utilities emit 34% of total man-made

nitrogen oxides emissions, second only to transportation sources which contribute 40%. Moreover, EPA data show that a disproportionately large share of these

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emissions is concentrated in the Ohio River Valley area, which includes all of Kentucky, most of West Virginia, and major portions of Illinois, Indiana, Ohio and Pennsylvania. (U.S. EPA, 1980) Overall, most reports seem to indicate agreement that acid deposition is produced from a combination of precursors compounds originating in both local and distant regions, but there remains disagreement about the relative shares contributed by local and distant sources respectively.

1.1.2 Consequences of "Acid Rain"

Once again there are large differences of opinion.

Scientific

research presents convincing data that suggests damage to aquatic systems, but data on other impacts are far less conclusive. Those asserting that

acid precipitation is not a sufficiently documented environmental problem acknowledge the vulnerability of these regions to acidification, but dispute most of the claims of "proven" damage. The most common cause of decline of fish population in acidified lakes is failure in the reproduction cycle. Acidity inhibits development of Even if eggs

reproduction organs in some fish and reduces egg production.

are successfully hatched, the young do not develop normally. (Cowling, 1980) Somewhat less agreement exists, although still a consensus, that

some mature fish are dying from acidification in Nova Scotia rivers and Adirondack lakes. Ongoing scientific research is attempting to clarify the relationship

between quantities of acid deposition and their effects on aquatic

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ecosystems.

This research will help the scientist to predict

quantitatively how much damage to aquatic ecosystems can be expected in the future from acid deposition and therefore to estimate thresholds or tolerance levels of acid deposition. Environmental impacts other than those on aquatic ecosystems are very difficult to quantify. Acid precipitation could cause damage to plant It could also stunt forest

tissues and interfere with photosynthesis.

growth and reduce yields of tomatoes, beans and other agricultural crops. Acid precipitation is also suspected to corrode buildings and statues (U.S. EPA, 1980) and to have indirect health effects. Metals such as lead

or mercury can be dissolved and carried by water of greater than usual acidity and contaminate fish or drinking water.

1.2

Survey of the Different Methods of Control

Control strategies proposed to deal with acid precipitation vary substantially in their costs, energy consumption and ability to reduce emissions. The least expensive strategies-such as liming lakes and streams

or coal washing- offer the smallest potential for reducing impacts, while the most expensive strategies-such as retrofitting scrubbers onto older existing power plants-reduce emissions the most. liming and coal washing follows. in Section 1.3 and Section 2. A short description of

Scrubbing is discussed with more detail

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1.2.1 Liming

Liming is the use of limestone (calcium carbonate) or other alkaline materials to neutralize the excess acid in lakes, streams, or ponds. Unlike many other control methods, it would deal with all sorts of acids rather than sulfuric acid only. However it would not solve the alleged impacts of acid precipitation on terrestrial ecosystems. Ontario's Ministry of Environment reports having successfully restored the pH of four acidified lakes near the Province's Sudbury smelters to normal, at a cost of about $50 per acre. However the effects are temporary

(usually three to four years) and it can only be applied in about one percent of the cases for economic and logistic reasons. access to the lakes). (e.g. difficult

.1.2.2 Coal Washing

Coal washing is viewed as a relatively inexpensive technique to make

moderate reductions of Sq emissions.

it is a process that removes pyritic

sulfur from coal before it is burned, and is most effective when used with high sulfur coals such as those in northern Appalachia and the Midwest. Coal washing can reduce sulfur content of Pennsylvania and Illinois coals by over 30 percent. (Chapman, et., al., 1981)

Cleaning all coals for the eight eastern and midwestern states would increase the average delivered cost of raw coal by only 10 to 20 percent. Capital and annual costs of 200 million tons per year coal washing program

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would be $3 billion and $1 billion, respectively. Coal washing's major drawback is its limited potential for sulfur removal. If 10 to 30 percent sulfur removal is deemed sufficient to If

mitigate acid precipitation, then it migh be a cost-effective strategy. however, greater S0 suffice. reductions are warranted, then coal washing will not

1.3 Definition of Flue Gas Desulfurization (FGD)

Flue Gas Desulfurization takes place in a complex, large-scale chemical reactor which is located between the combustion chamber and the smokestack. The combustion products (flue gases) are exposed to a lime or Sulfur dioxid in the gas

limestone slurry that is sprayed in their path.

reacts with the spray and goes into solution, from which it is later removed, dewatered and extruded in the form of sludge. FGD processes can be best categorized by process (i.e. wet or dry, lime, limestone, dual alkaii, sodium carbonate, etc.). FGD processes can

also be categorized by the manner in which the sulfur compounds removed from the flue gases are eventually produced for disposal. three main categories result: 1. Throwaway processes, in which the eventual product is disposed of entirely as waste. Disposal can include landfill, ponding, In this way

discharge to water course or ocean, or discharge to a worked-out mine. 2. Gypsum processes, which are designed to produce gypsum of

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sufficient quality either for use as an alternative to natural gypsum or as a well-defined waste product with good disposal characteristics. 3. Regenerative processes, which are designed specifically to regenerate the primary reactants and concentrate the sulfur dioxide that has been removed from the flue gases and convert it into sulfuric acid, elemental suflur or liquefied sulfur dioxide. As shown in Section 3, scrubbing is a very expensive way to reduce S02 emissions. Section 4 shows that it is not as effective as usually thought.

Under current law (as defined by EPA) the electric utilities are forced under section 111 of the Clean Air Act to use scrubbers, even if the ambient air quality standards can be both attained and maintained by the use of low-sulfur fuels. This law is primarily due to a strange alliance

between environmentalists and high-sulfur coal producers who were afraid of having their mines closed if the utilities switch to low-sulfur coal. (Ackerman et. al., 1981) Therefore FGD is a very important issue in the

U.S. and should be carefully studied.

1.4 Objectives

The purpose of this thesis is to answer the two following questions: - How much does Flue Gas Desulfurization (FGD) cost? - How well do scrubbers work? A journalist of the Boston Globe estimated that the adoption of FGD would add $4 to the average monthly home utility bill. However this quick

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answer might not be valid.

For instance, four different processes have limestone, lime, dual alkali, and sodium Which one is the cheapest? Moreover, some

been adopted by the utilities: carbonate scrubbing processes.

of these FGD processes are installed on new plants whereas some are installed on old plants and are called retrofit. cost between the new and retrofit FGD systems? The answer to these questions will interest the utility manager who is obliged to install this FGD technology on his plant. be ignored by the policy analyst and the legislator. The answer must not It represents the Is there a difference in

first part of a cost-benefit analysis they have to make before making any decision. The contractors and designers are eager to sell their scrubbers The utility engineers, confronted

and emphasize their high reliability.

with the day to day problems of plugging and corrosion have a different opinion. The following cost and functional analysis of both new and retrofit installations should provide some valuable information on the future application of FGD systems.

1.5

Method of Approach

The methods used to answer these questions are statistical, economic and financial. A group of 26 plants which operated FGD technology for at

least five years and which have a generating capacity of at least 50 MW were studied. Statistics (weighted averages and variances) were used as a

tool for the cost and functional analysis.

I

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Capital costs and annual costs were calculated for each of these 26 plants then combined into a net present value which allows a better comparison between new and retrofit FGD systems. The functional anlaysis is based on different viability indexes. most important index is defined as the ratio of the number of FD hours over the number of boiler hours and is called the operability. is This index The

useful to draw the average cost curve which links the annual cost with An operability limit, defined as

the quantity of sulfur removed per kWh.

the minimum level of operability necessary to meet the standards, first indicates how necessary the scrubber is and then how well it works. In order to use the above methods the accounting reports and functional reports of the utilities are needed. These data have been

collected by an EPA contractor, PEDCo Env., on a computerized data base system, available through NTIS. The information provided for this thesis

comes from a report which summarizes the data from the data base. (Bruck et. al., 1981 and 1982)

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2 2.1

TECHNICAL BACKGROUND Introduction

In order to show the importance of the Flue Gas Desulfurization in the United States, Section 2.2 describes FGD growth trends. The four sections

following contain a technical description of the four main FGD processes later compared in the economic and functional analysis. These processes

are the limestone, lime, dual alkali and sodium carbonate scrubbing processes. Each of the sections in this chapter contains a description of a FGD process, the chemistry involved and the equipment components. At the end

of each section a short summary list the main technical advantages and disadvantages. Later in Section 3 and 4 an economic and functional

comparison is made.

2.2

FGD Growth Trends

Table 2.1 summarizes the status of flue gas desulfurization (FGD) systems in the United States at the end of June 1982. (Bruck et. al., A system is defined on the basis of inlet gas ducting configuration. 1982) A

module or several modules that are commonly ducted to one or more boilers comprise a single system. Thus, a single FGD module that treats flue gas

from only one boiler is considered a system, just as multiple FGD connected through a common duct to multiple boilers are considered one system. the other hand, a plant that has several boilers ducted to a number of On

Ia

i

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distinct modules or group of modules without any common ducting between them is considered to have two or more separate FGD systems.

Table 2.1:

Number and Total Capacity of FGD Systems (June 1982)

Status

No. of Units

Total Controlled Capacity MW (a)

Equivalent Scrubbed Capacity MW (b)

Operational Under Construction Planned: Contract Awarded Letter of Intent Requesting/ Evaluating Bids Long-term Planning

96 43

36,744 19,228

33,254 18.742

19 8 11

12,348 6,560 6,275

12,235 6,560 6,275

44

25,841

25,513

Total

221

106,996

102,579

a. Summation of the grossunit capacities (MV) brought into compliance by the use of FGD systems regardless of the percentage of the flue gas scrubbed by the FGD systems. b. Summation of the effective scrubbed flue gas in equivalent MW based on the percentage of flue gas scrubbed by the FGD systems.

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Current projections indicate that the total power generating capacity of the US electric utility industry will be approximately 831 GW by the end of 1999. (This value reflects the annual loss resulting from the

retirement of older units, which is considered to be 0.4% of the average generating capacity at the end of each year. [U.S. Department of Energy, 1980]) Approximately 373 GW or 45% of the 1999 total will come from coal The distribution of present (December 1980) and future

fired units.

(December 1999) power generation sources is shown in Table 2.2.

Table 2.2:

Power Generation Sources: Present and Future

Coal

Nuclear

Oil

Hydro

Gas

Other

Total GW

December 1980 December 1999

41% 45%

10% 15%

24% 19%

12% 11%

12% 9%

1% 1%

616 831

Based on the utilities' known commitments to FGD (as presented in Table 2.1), the current and projected percentages of electrical generating capacity controlled by FGD are shown in Table 2.3. In light of the revised New Source Performance Standards of the Clean Air Act Amendments of 1977, actual FGD control is expected to be greater than that reflected by the figures in Table 3. For example, about 50 to 60

systems (representing approximately 29,000 to 31,000 1W of generating capacity) fall into the uncommitted category. These systems cannot be

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Table 2.3:

FGD Controlled Generating Capacity: Present and Future

Coal-Fired Generating Capacity Controlled by FGD, %

Total Generating Capacity Controlled by FGD, %

June 1982 (a)

14.5

5.9

December 1999

28.6

13.1

a. The number of committed FGD systems as of June 1982; however, the figure used for the total generating capacity and coal-fired generating capacity is based on the available December 1980 figures.

included in the committed group at this time because information regarding their status is not ready for public release. To show general FGD usage and projected usage trends, Table 2.4 gives both a current (June 1982) and projected (December 1999) breakdown of throwaway product systems versus salable product systems as a percentage of

the total known commitments to FGD as of the end of the second quarter
1982. (Berman, 1981) It appears from Table 2.4 that the lime and limestone processes are the main ones. The dual alkali and sodium carbonate processes have also

some importance ans since these four processes will appear in the second part, they will be studied in the four following sections. comparison will be then possible. A qualitative

A quantitative comparison will be

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Table 2.4:

Summary of FGD Systems by Process (percentage of total MW)

Process

June 1982

December 1999

Throwaway Product Process Wet systems lime limestone Dual Alkali Sodium Carbonate 38.0 45.6 3.6 3.8 24.4 51.9 3.0 4.2

Dry Systems Lime Lime/Sodium Carbonate Sodium Carbonate 0.3 0.3 1.3 5.6 0.1 0.6

Salable Product Process Aqueous Carbonate/ Spray drying Citrate Lime

Byproduct June 1982 Elemental Sulfur 0.3

December 1999 4.8

Elemental Sulfur Gypsum

0.2

0.1 0.1

Limestone Lime/Limestone
Magnesium oxide Wellman Lord Wellman Lord Total

Gypsum Gypsum
Sulfuric Acid Sulfuric Acid Elemental Sulfur 0.7 2.8 3.1 100.0

0.6 1.0
1.0 2.0 0.6 100.0

-A N1Y111H1i0

-25-

later detailed in part two.

2.3

Limestone Scrubbing

2.3.1 Process Description (Princiotta et. al., 1979)

The principles of all limestone scrubb.ng systems are essentially the same. When the limestone-water slurry comes in contact with flue gas the SQ2 is absorbed into the slurry and reacts with the The by-products include gypsum These

containing S02,

limestone to form an insoluble sludge.

(CaSO4 , 2H2 0) and calcium sulfite hemihydrate (CaSO 3 , 1/2 H0). sludge by products are generally disposed of in a pond.

Figure 2.1 is an

example of a flow diagram of a 500 MW coal-fired boiler with a limestone/sludge FGD system.

2.3.2 Process Chemistry

The overall reactions that take place in the absorber are: SO + CaC0 3 --- > CaSO
3

+ CO 2

(1)

SO + CaC 3

->

CaSQ

+ C002

(2)

Many intermediate steps also take place, however. formed during slurry preparation:
CaCO3 +
The S30

The calcium ion is

20 -- > Ca+ + + HC0

+ OH-

(3) the absorber. (4)

anion forms at the flue gas-slurry interface in so2 + H2 0 -> 12 S0 -> S03-+ 2H+

Flue Gas from Boiler

Demister

Reheater

Settling Pond Coal-Fired Boiler and Limestone Sludge FCD System TVA 8 Widows Creek
Figure 2.1

-IMI

-27-

+ The sulfite ion (SO--) then combines with the cacium ion (Ca + ) to form

the precipitate calcium sulfite hemihydrate:
Ca+ + + Sq-- + 1/2 H2 0 -- > CaSO3 * 1/2 H20
Gypsum, an additional precipitate, is formed as follows:

(5)

S% -- + 1/2 02 -- > S04-Ca+ + + S0 -- + 2H20 -- > CaSQ. 2H 0 2

(6)
(7)

As reactions 6 and 7 proceed, the calcium cation is depleted from solution and additional CaC03 dissolves to react with the sulfite ion. In

a limestone sludge system, by-products occur from both reactions 6 and 7. According to the molecular weights of limestone and SO2 the theoretical requirement is 1 mol of limestone per mole of S02 removed. If

a 20% excess stoichiometric amount and 95% purity of limestone are assumed, actual limestone required is 1.97 kg/kg of SO . 2 Dry sludge generated in the limestone process consists of calcium sulfite hemihydrate, carbonates, fly ash, and gypsum. limestone impurities also combine with the sludge. Unused limestone and

The exact proportions

of calcium sulfite hemihydrate and gypsum depend on system design; but if equal proportions are assumed, the sludge generated is 2.76 kg/kg of SO . 2 When a venturi scrubber removes particulate matter, the particulates thus removed are also combined with the sludge. contains at least 20% water. For instance, the projected mass flow rates of wastes for a 500 MW power plant assumed to have a 30 year lifetime of 117,500 operating hours and to operate 6,000 hours in the first year are shown below:
(The fuel is a 3.5% sulfur, 16% ash, 5830 kcal/kg high heat rate bituminous

The final sludge to be disposed

coal.)

-28-

Component CaSo 3 CaSOQ . 1/2H 0 2 . 2 H2 0

Kilograms per hour

16,550 5,670 6,448

CaC0 3
CaC12

433

Fly ash Inerts Total

149 1,236 30,525

The sludge disposal pond requires approximately 123 ha (305 acres) and is designed for an optimum depth of approximately 6.1 m (20ft.).

2.3.3 Description of Equipment Components

a.

Primary Particulate Removal The venturi scrubber is the first unit in most limestone FGD systems.

This unit scrubs particulate from the gas; however, some SO2 occurs.

removal also

The venturi scrubber has an advantage over an electrostatic

precipitator (ESP) for particulate removal because the venturi cools and humidifies the flue gases before they enter the absorber section. A flue-

gas cooler and humidifier must be used in connection with an ESP to cool the flue gases, generally to 5C C, prior to absorption. Moreover, if

particulate is removed before the absorber, corrosion problems are reduced. Booster fans are sometimes installed in series with the venturi to provide

-

-

IIImilmII II

1101IT10

-29-

the power necessary to force the gas through the scrubber system.

b.

SO. Absorber The absorber is the primary S0 2 removal unit in the system. Each of

the many available designs employs a different method to contact the flue gas with the slurry. The most common unit designs include fixed packing,

mobile-bed packing (hollow or solid spheres), and horizontal or vertical spray towers. Although each unit performs differently, identical Because of its

parameters have the same general effect on performance.

simplicity, however, the spray tower is gaining popularity. The scrubber must be constructed of materials that resist corrosion, erosion and scaling. Scrubber bodies are fabricated of stainless steel or

mild steel lined with an acid resistant coating such as fiber glass reinforced polyester (FRP), rubber or glass flake. Scrubber internals are

made of a variety of materials such as stainless steel, which has a tendancy to pit; fragile. high nickel alloys, which are expensive; or FRP, which is

No one material seems to stand above the others.

The size and number of modules in a scrubber system are directly related to boiler size, turndown (reduction in boiler output) requirements, system availability, and gas liquid distribution. Boiler system loads

fluctuate, and the srubber system must change to maintain optimum scrubber performance. One method of adjusting to turndown is to shut down scrubber The more modules in the system, the

modules as the load decreases. smoother the transition.

Scrubber modules not being used can be scheduled

for cleaning and maintenance during periods of low system load, thereby reducing overall scrubber downtime. The use of multiple modules also has

-30-

the advantage of permitting the modules to be smaller.

Smaller cross

sectional areas in the scrubber module promote uniform gas liquid distribution and improve efficiency. about 25 to 200 MW. Scrubber module sizes range from

c.

Demister A demister is necessary to remove entrained droplets from the scrubber

outlet gas to reduce downstream equipment corrosion and scaling and to reduce reheat requirements. Most of the droplets are large enough to be

removed with a simple change in flue gas direction; this is provided by baffles. Two banks of demisters are usually sufficient, but more can be Demisters are also installed to

added for additional demisting capability.

reduce this tendency, and materials of construction must be carefully selected.

d.

Reheater Reheating of stack gas is generally necessary to increase the kinetics

of the reactions described in Section 2.3.2 and to reduce downstream corrosion. Thus, reheat not only helps meet ambient air standards, it also

protects downstream equipment and prevent formation of acid mist. Reheating can be accomplished by installing a gas or low sulfur oil burner that exhausts directly into the stack, or by-passing some hot flue gas around the FGD system directly into the stack. (increasing emissions of S02 ) In-line heat exchangers are the most popular because of their low Soot blowers,

initial capital cost, but they tend to corrode and scale.

better demisters, and better materials of construction reduce these

___________________________________Imuri iIIfIIIIUp

I IJIMMMM

-31-

problems.

e.

Slurry Makeup Limestone can be received in a crushed and milled state or can be

crushed and milled on site.

In the latter case, the limestone is ground

(wet or dry) in a ball mill to a size not larger than 200-mesh and often finer than 325-mesh. Finer grinding reduces the amount of limestone that remains unreacted and would otherwise be disposed of in the sludge. is added until the solids content reaches 15 to 25%. Water

The slurry is then

sent to a feed tank and to an absorber holding tank where it is mixed with aborber effluent. The slurry from the absorber holding tank is pumped to

the absorber, where it reacts with Sq in the flue gas and is then returned 2 to the holding tank. Slurry from the absorber holding tank is pumped to

the venturi holding tank and from there to the venturi to scrub out fly ash. The slurry containing the fly ash returns to the venturi holding

tank, from which it is pumped to the sludge disposal area for final treatment.

f.

Sludge Disposal Sludge disposal can require 200,000 m2 at a small plant and as much as

4,000,000 m2 at a large plant.

Disposal practices are very site specific.

A power plant in an arid location might pump the sludge into an unlined pond, allowing the water to evaporate or seep into the ground. In an area

where surface runoff or leaching could be a problem, the sludge sometimes is dewatered before being pumped into a lined pond. The water is returned

to the system or purged after treatment to reduce chloride ions in the slurry.

-32-

2.3.4 Advantages and Disadvantages

The process is well developed chemically, but mechanical problems are still encountered in certain facilities as described in sections 4 and 5. These problems include: fan vibration; pump and pipe erosion; scale

buildup in the scrubber, demister and reheat sections; potential pollution in openwater systems; and corrosion and erosion. The system operates well on large boilers. On small systems with low

operating factors, labor and capital charges can be a limiting factor. Strict solid waste and water regulations either in force or imminent could necessitate more careful consideration of sludge disposal approaches. may be necessary to incorporate an oxidation step to produce acceptable materials for landfill disposal. The advantages of the limestone/sludge It
£

systems can be summarized as follows: (1) (2) (3) (4) The basic process is fairly simple and has few process steps. The reserves of limestone are fairly abundant. S02 removal efficiencies can be as high as 95%. The two-stage treatment of flue gases permits removal of S02 and particulates. (5) Many years of operating experience have led to a greater understanding of the basic principles of this process. (6) Fly ash does not adversely affect the system.

The disadvantages of the limestone/sludge systems are as follows: (1) (2) Large quantities of waste must be disposed of in an acceptable manner. If not designed carefully or operated attentively, limestone systems

i

__^___

11111 W1

-33-

have a tendency toward chemical scaling, plugging, and erosion which can frequently halt its operation. (3) The scrubber requires high liquid-to-gas (L/G) ratios necessating large pumps with attendant electrical requirements. (4) The sludge may have poor settling properties when it has high sulfite content. Forced oxidation or soluble Mg in the slurry have been shown

to lower sulfite content.

2.4

Lime Scrubbing

2.4.1 Process Description (Haug et. al., 1979)

The principles of all lime scrubbing systems are essentially the same as the limestone scrubbing systems described in Section 2.3.1. Figure 2.2

is an example of a flow diagram of a 2000 MW coal-fired boiler with a lime/sludge FGD system.

2.4.2 Process Chemistry

The overall reactions that take place in the absorber are:
CaO + 1 0 -- > Ca(OH)2 Ca(OH)2 + S02 -- > CaSO 3 + H2 0 CaSO3 + 02 + H ---> Ca(HSO 3 )2 (1) (2) (3) (4)

Ca(HSO3 ) + Ca(OH)2 -- > 2CaSO 3 + 2H20 2

Sulfate formation (detrimental), scaling:

__i;_;~l_ ___

~__iij

_1^_1____ _

_~

I__=__;_;__

~_V_~ __~ ~_

~

-34-

In-line Reheater

Mist Eliminator Wash

Coal-Fired Boiler and Line Sludge FGD System Cane Run 5 Figure 2,2

_

1 11mmun1m 1m1m mm......1 -- ~ ^- 111mmmm

-35-

2CaSO3 + 02 --

> 2CaSQ,

(5)

Scrubbing liquor is a slurried mixture of calcium hydroxide and calcium sulfite in water. The pH of slurry entering the scrubber is 8 to

10. Low pH can cause gypsum scaling whereas high pH can cause formation of carbonates. The presence of MgO in the lime allows a subsaturated mode of

operation and improves the Sq removal efficiency. The reaction with S02 in the flue gas takes place in the liquid phase. The dissolution of calcium sulfite is the rate controlling step for S02 absorption. In other cases the mass transfer through the interface between

gas and liquid is the rate controlling step.

2.4.3 Description of Equipment Components

The equipment components are similar to those described for the limestone scrubbing process.

2.4.4 Advantages and Disadvantages

Generally inexpensive lime can be provided to the FGD plants and, as far as available, carbide sludge from chemical industry or alkaline fly ash can be utilized as scrubbing agent. developed. The lime scrubbing technology is well

Current R&D efforts aim at the following chemical, mechanical

and design areas: Precipitation of calcium sulfate (gypsum) may cause scaling, which is

-36-

particularly unwanted in mist eliminators. Dissolved salts in the scrubbing agent and chloride built-up in the recycle water can cause corrosion, which is possibly aggravated by the erosive nature of the slurry. Pumps, fans and agitators allow mechanical improvements as to their use in this technology. Interrelated mechanical and chemical factors may influence the lifetime of expansion joints and piping. Finally the optimization of the design parameters like gas flow and slurry distribution, liqid-to-gas ratio, control instrumentation and accessibility for maintenance has to be mentioned. The advantages of the lime scrubbing system are similar to those listed for the limestone scrubbing process. The disadvantages are also similar to those listed for the limestone scrubbing process. In addition, although fly ash does not adversely affect

the process in general it can adversely affect the process by intensification of mechanical wear and erosion in the washing cycle and by increased load of the thickener.

2.5

Dual Alkali Scrubbing

2.5.1 Process Description (Kaplan, 1979)

As in the limestone slurry system, dual-alkali processes dispose of removed S02 as throwaway calcium sludge. absorption of S02 Unlike limestone, however,

and production of disposable waste are separated; the

___III

M

min In IIN

~ mIIu. igiIIIIIIlI

I4

-37-

addition of limestone or lime occuring outside the scrubber loop. scrubbing step uses an aqueous solution of soluble alkali.

The

The absorption

reaction depends on gas/liquid chemical equilibrium and mass transfer rates of sulfur oxides (SO ) from flue gas to scrubbing liquid instead of limestone dissolution, the limiting factor in limestone scrubbing. Therefore, SOx absorption efficiency in a double-alkali system is potentially higher than in a limestone system with the same physical dimensions and liquid-to-gas (L/G) flow rates. Scaling and plugging in the

absorption area are reduced because calcium slurry is confined to the regeneration and disposal loop and soluble calcium is minimized in the scrubber liquor. Figure 2.3 is an example of a flow diagram of a 125 MW

coal-fired boiler with a dual-alkali scrubbing FGD system.

2.5.2 Process Chemistry

Technically, the use of any combination of alkaline compounds, organic or inorganic, for SQ removal and disposal can be classified as a dual2 alkali process. The process described in this section is a sodium sulfite

absorbent-lime reactant system. Sodium sulfite in solution absorbs S02 in the scrubbing step represented by equation (1): S0" + so2 + o --- > 2HSO3 (1)

Sodium hydroxide formed in the regeneration step and sodium carbonate added as solution makeup react with S02 as shown below. The absorption reactions

actually involve reaction of SQ2 with an aqueous base such as sulfite,

I

I

I

1 III

I~--,,r----l;

~T----~C--~I~C-~-~_i_~_--ih-- ----

~---J ---

--~ ----- -; ------- ~ '

-38-

To Stack

Mist Eliminator Fly-ash Storage Silo ii IAme Storage Silo

j

From
Boiler
I

I
___~
'Thickener Overflow Tank

I~
Recycle Tank Thickener

i

Filter Cake

Coal-Fired Boiler and Dual Alkali FGD System

Milton R Young 2 Figure 2.3

~ 1

~I

11N

-39-

hydroxide, or carbonate rather than sodium ion which is present only to maintain electrical neutrality.

20H- + s 2 --

-- +

0

(2) (3)

o-- + S02 ->

So-- + Co 2

The use of lime for regeneration allows the system to be operated over a wider pH range which in turn included the complete range of active alkali hydroxide/sulfite /bisulfite. sulfite/bisulfite range.
Ca(OH)2 + 2HSO--S0 3 + CaSO . 1/2 H20 + 3/2 H20 (4)

Limestone regeneration operates only in the

Ca(OH)2 + S03"

+ 1/2 H20 -- > 20H- + CaS03

. 1/2 H2 0

(5)

Ca(OH)2

+

S" ---

> 20H- +Casq

(6)
(7)

Ca(OH)2 + So04

+ 2H 0 -- > 20H- + CaSk . 2H 0 2 2

Total oxididizable sulfur (TOS) is the total concentration of sulfite and bisulfite in solution. Oxidation of TOS to sulfate may occur in any

part of the system and is affected by composition of the scrubbing liquor, oxygen content of the flue gas, impurities in the lime, and design of the equipment.

s03-- + 1/2 02 HS0+ 1/2 02

-- > Sc -- > So"4 + H+

(8) (9)

The sum of concentrations of NaOH, Na CO3 , NaHCO , Na S03 and NaHS03 2 3 2 in the scrubbing solution is termed active alkali. The active alkali

concentration in a system can be dilute or concentrated; a concentrated mode (active concentration of sodium greater than 0.15 M) was chosen for this discussion. In this mode high sulfite levels prevent the

precipitation of calcium sulfate (CaSO4 ) as gypsum (CaSO4 . 2H20), equation 7. However, CaSQ, is precipitated along with calcium sulfite (CaSO3 * 1/2

-40-

H2 0) as shown in equations 4-6.

In this way the system can keep up with

sulfite oxidation at the rate of 25 to 30% of the S02 absorbed without becoming saturated with CaSQ,. Usually, soluble calcium levels are less

than 100 ppm in the regenerated liquor of a concentrated mode dual-alkali process.

2.5.3 Description of Equipment Components

The dual-alkali process has been divided into the following operating areas: - Materials Handling. This area includes facilities for receiving pebble

lime from an across-the-fence limestone calcination plant, lime storage silo, and in-process storage for supply to the slakers. is also provided. - Feed Preparation. Included in this area are two parallel slaking systems Soda ash storage

and the facilities for dissolving makeup soda ash in water before feeding to the absorption system. - Gas Handling. Fan location and duct configuration are the same as in the

limestone scrubbing process. - S02 Absorption Four tray tower absorbers with presaturators, recirculation tanks, and pumps are included. - Stack Gas Reheat. Equipment in this area includes indirect steam

reheaters and soot blowers for the coal variations. - Reaction. area. Reaction tanks with agitators and pumps are provided in this

-41-

-

Solids Separation.

Separation of calcium salts is accomplished by

thickener and filters. - Solids Disposal. Filter cake is reslurried in this area and purged to A pond return pump is included.

the disposal pond.

2.5.4 Advantages and Disadvantages

System reliability can be adversely affected by two classes of problems: mechanical and chemical. Mechanical problems include malfunction of instrumentation and mechanical and electrical equipment such as pumps, filters, centrifuges, and valves. These problems in a commercial FGD system can be minimized by

careful selection of materials of construction and equipment and by providing spares for equipment items such as pumps and motors which are expected to be in continuous operation. Chemical problems which may be associated with a dual-alkali system include scaling, production of poor-settling solid waste product, excessive sulfate buildup, water balance, and buildup of nonsulfur solubles which enter the system as impurities in the coal or lime. One of the primary reasons for development of dual-alkali processess was to circumvent the scaling problems associated with lime/limestone wet scrubbing systems. Since scrubbing in dual-akali systems employs a clear

solution rather than a slurry, there is a tendency to ignore potential scaling problems. However testing experience has indicated that scaling

can occur and be particularly troublesome since the flue gas path through

-42-

the scrubber can shut down the boiler/scrubber system and lower reliability.

2.6

Sodium Carbonate Scrubbing

2.6.1 Process Description (Slack et. al., 1975)

The sodium carbonate method is shown in figure 2.4. Na C03 2

Addition of

to the thickener precipitates enough calcium to keep the calcium

content of the liquor to the scrubber well on the safe side of saturation (about 100 ppm below saturation). It is expected that the Na2 C0 3 makeup

requirement will be at least very high because of losses in the filter cake.

2.6.2 Process Chemistry

In the absorption section, absorption of S02 in sodium sulfite solution produces a bisulfite scrubber effluent solution according to the overall reaction: Na 2
S3 O

+ S02 + H2 0 --

> 2NaHSO3

(1)

The sodium carbonate used as sodium makeup to the system forms sodium sulfite in the scrubber: Na2 CO + SO2 -> Na 2 S03 + Co2 (2)

The absorber feed solution will also contain sodium sulfate in solution and may contain some sodium bisulfite if neutralization is not completed in the regneration section. The sulfate is formed in the scrubber by reaction of

Ill__

_ _ _ _ _l

i II

-43-

TO Chimney

SSoda

Slurry

Ash

From Boiler

Recycle Tank

Purge to Ash Pond Coal-Fired Boiler and Sodium Carbonate FGD System Reid Cardner 1.2 & 3

lgur 2,4 F

-44-

sulfite with oxigen in the flue gas: 2Na 2 S0 3 + 02 -> 2Na 2 SQ~ (3)

The rate of oxidation is a function of the absorber design, oxigen concentration in the flue gas, flue gas temperature, and the nature and concentration of the species in the scrubbing solution. As an example, for

flue gas containing about 4 to 5% 02 and 2,500 ppm S02, approximately 10% of the SC removed from the flue gas will normally be oxidized to sulfate.

The neutralization goes to completion with lime: Na2 SO 3 + Ca(0H) 2 -- > 2NaOH + CaSO 3 (4)

The usual form of calcium sulfite produced is the Hemihydrate, CaSO3 . 1/2 H2 0. Some sulfate is also precipitated, the amount depending on the

sulfite and sulfate concentration and on pH.

2.6.3 Description of Equipment Components

The equipment components are similar to those decribed for the limestone scrubbing process.

2.6.4 Advantages and Disadvantages

The main drawback is that the sulfate formed incidentally by oxidation in the scrubber and in other parts of the system is more difficult to regenerate than when other absorbents are used. the area is concerned with this problem. Much of the research in

_

IIIIYI ll YI IIIYIIIIII l

lllll III1I

-45-

3 3.1

COST ANALYSIS OF PROVEN PGD Introduction

The cost of Flue Gas Desulfurization (FGD) systems is an area of intense interest and substantial controversy. have been established. In section 2, the main FGD processes were described by looking at different technical advantages and disadvantages. However, these Few realistic cost figures

differences were not translated into actual dollar figures. The following economic analysis considers the FGD systems whose commercial start-up occurred before the end of 1977. At least four years Devices that have

(78,79,80,81) of data about these devices are available.

been in use this long are referred to as proven FGD. The FGD systems are not pilots and are installed on relatively large scale plants, units of at least 50 MW. The processes used by these systems are the four processes

described in section 2. Section 3.2 contains an overview of the proposed methodology with emphasis on the data collection, the cost elements description and the cost adjustment procedure. In section 3.3, the results obtained by applying this methodology are shown. The four main processes used by systems installed on either old or Their capital and annual costs and their energy Then the impact of these costs on the consumer Finally, in the conclusion, a comparison is

new plants are compared. consumptions are analyzed.

and the producer is studied.

made with another FGD cost analysis.

-46-

3.2 Description of the methodology 3.1.1 Collection of the data

The reported figures are acquired from various sources. (The most reliable information was obtained from a previous cost study initiated by PEDCo Environmental in March 1978. (Devitt et. al., 1980) In this first

study each utility with at least one operational FGD system was given a cost form containing all available cost information then in the PEDCo files. The utility was asked to verify the data and fill in any missing information. The PEDCo Environmental staff made a follow-up visit to

complete and verify the data collected. Some costs were also taken from FGD cost survey questionnaires developed by Edison Electric Institute (EEI). The EEI forms contain useful

capital cost information, however, in some cases the costs were projections rather than actual dollar expenditures. In addition to the sources just mentioned some 1978 and 1979 annual costs were made available by a few utilities via written transmittals and telephone communications.

3.2.2 Description of Cost Elements

Capital costs, expressed in $/kW, consist of direct costs, indirect costs and other capital costs. Direct costs include the cost of the

equipment (scrubber, pump, fan,...), the cost of installation (piping, instrumentation) and the site development (construction of access roads,

IIYmmm mmmmNNmmanmN

1um 111 1H In

,

I.

II

l

IIlI

llM

-47-

truck facilities,...).

Indirect costs include interest during

construction, contractor's fees and expenses, engineering, legal expenses, taxes, insurance, allowance for start-up and shakedown and spares. capital costs include contingency costs (malfunctions, equipment alterations, unforeseen sources), land for waste disposal and working capital (amount of money invested in raw materials and supplies in stock). Annual costs, expressed in mills/kWh, consist of direct costs, fixed costs and overhead costs. Direct costs include the cost of raw materials Other

(lime, limestone,...) utilities (water, electricity,...), operating labor and supervision and maintenance and repairs. Fixed costs include those of

depreciation, interim replacement, insurance, taxes and interest on borrowed capital. expenses. Overhead costs include those of plant and payroll

Although they are not charged directly to a particular part of a

project like FGD, they are allocated to it.

3.2.3 Cost Adjustment Procedure

In order to compare the FGD systems on a common basis, the following cost adjustments were made: 1. All capital costs are adjusted to 1981 dollars, using' the escalation factors shown in Table 3.1. Actual costs were reported by The total figure is

utilities in dollar values since the start up date.

broken down into dollars per year and each year total is escalated to 1981 dollars and totaled again. 2. Particulate control costs are deducted. Since the purpose of the

-48-

study is to estimate the incremental cost for sulfur dioxide control, particulate control costs are deducted using either data contained in the costs breakdowns or as a percentage annual. 3. All non-labor annual costs are adjusted to a common 65% capacity factor, assuming a continuous operation of 8#760 hours. 4. Sludge disposal costs are adjusted to reflect the costs of sulfur dioxide waste disposal only (i.e., excluding fly ash disposal except where usable as a sludge stabilizing agent) anticipated lifetime of the FGD system. and to provide for disposal over the This latter correction is of the total direct cost, capital and

necessary since several utilities reported costs for sludge disposal capacity that would last only a fraction of the FGD system life. The

adjustments are based on a land cost of $2000/acre with a sludge depth of 50 ft in a clay lined pond (clay is assumed to be available at the site). 5. A 30 year life, value recognized by the National Power Survey of the Federal Power Commission, is assumed for all new systems that were installed for the life of the unit. A 20 year life is assumed for retrofit systems that were installed for the life of the unit.

3.3 Results and Interpretation 3.3.1 Introduction

The detailed results are shown in Table 3.2.

Twenty-six plants The four main

correspond to the definition given in the introduction.

-

1,0 IIIIIYUIIYY 1" 1'J111 III iY YIIIIIIYI

,1,1li1 1jh,,,I

i di01101 0 01 F

l -o

-49-

Table 3.1 Escalation Factors

Year (a)

Capital Investment (b)

Utilities (c)

Chemicals (d)

Operation & Maintenance Labor (e)

Cons Labor (f)

1970 1971 1972 1973 1974 1975

0.537 0.576 0.600 0.624 0.738 0.825

0.238 0.277 0.321 0.372 0.496 0.665

0.550 0.584 0.603 0.624 0.733 0.819

0.540 0.583 0.630 0.681 0.735 0.794

0.542 0.613 0.669 0.704 0.768 0.824

1976 1977 1978
1979
1980

0.875 0.934 1.0
1.09
1.188

0.762 0.873 1.0
1.1
1.21

0.866 0.928 1.0
1.075
1.156

0.857 0.926 1.0
1.08
1.166

0.887 0.937 1.0
1.08
1.166

1981

1.295

1.331

1.242

1.260

1.260

a. cost index is for mid-year (June) b. reference: Marshall and Swift c. includes fuel and electricity; reference: Department of Commerce d. reference: Bureau of Mines e. reference: Department of Labor f. reference: Engineering News Record (Construction Labor)

-50-

processes described in Section 2 are represented here. process is used either with lime or limestone.

The dual alkali

If the sodium carbonate

process which represents a small portion of FGD systems, is not taken into account there are just two categories: the lime and the limestone process. Ten of the scrubbers were installed on new plants. In order to ease

the comparison and the interpretation of the results, these plants were divided into four different categories, according to figure 3.1.

Number of Plants

Megawatt Size

Lime (NL) New Limestone (NLS) FGD Lime (RL)

6

3150

7

3698

8

1664

Retrofit
Limestone (RLS) 2 676

Figure 3.1

3.3.2 Capital and Annual Costs

The capital and annual costs have been reported on distribution curves drawn on figures 3.2 and 3.3. Capital costs: These results indicate that it is more expensive to

-51-

Table 3.2

Capital and Annual Costs
Plant name Start-up date Eff Co MW size Process Capital Annual New cost Ret cost

$/kW (a)
Cholla 1 Duck Creek 1 10/73 7/76 55 85.3

(b)
3.4 2.9 126 378 Limestone Limestone 81.3 132.2

mills/ (c) kWh
4.8 5.8 R N

Conesville 5 Elrama 1-4 Phillips 1-6
Petersburg 3
Hawthorn 3

1/77 10/75 7/73
12/77
11/72

89.5 83 83
85
70

3.9 1.4 3.4
2.4
2.2

411 510 410
532
110

Lime Lime Lime
Limestone
Lime

99.4 187.8 210.0
162.0
62.8

6.8 12.9 17.6
9.7
5.2

N R R
N
R

Hawthorn 4

8/72

70

2.2

110

Lime

62.8

5.2

R

La Cygne 1 Green River 1-3
Cane Run 4

12/72 9/75
8/76

80 80
85

3.2 3.1
1.6

874 64
190

Limestone Lime
Lime

100.1 117.8
115.2

11.3 11.0
6.2

N R
R

Cane Run 5
Pady's Run 6

12/77
4/73

85
90

1.5
2.8

200
70

Lime
Lime

102.4
133.0

5.3
12.2

R
R

Milton Young 2 Colstrip 1 Colstrip 2
Reid Gardner 1 Reid Gardner 2

9/77 9/75 5/76
3/74 4/74

78 60 60
90 90

1.6 185 Lime/Alk 3.3 360 Lime/Alk 3.3 360 Lime/Alk
125 125 Sod./Carb Sod./Carb

155.7 145.9 145.9
87.1 87.1

6.4 8.3 8.3
5.8 5.8

N N N
R R

Reid Gardner 3 6/76 Sherburne 1 3/76 Sherburne 2 3/77 Br. Mansfield 1 12/75 Br. Mansfield 2 7/77 7/77 Winyah 2 4/77 Southwest 1 T.V.A. 8 5/77

85 50 50 92.1 92.1 45 80 70

125 2.7 720 2.7 720 6 917 6 917 1.1 280 4.6 194 4.7 550

Sod./Carb 150.9 Limest/Al 102.6 Limest/Al 102.6 Lime 144.2 144.2 Lime 47.0 Limestone Limestone 143.4 Limestone 158.1

7.4 5.4 5.4 11.3 11.3 1.8 8.2 7.3

N N N N N N N R

a. b.

Theoretical removal efficiency expressed in percent. PGD Energy consumption expressed as a percent of total

energy consumption.

c.

New/Retrofit FGD system.

Plant Size

-52-

(MW)
3,200-

2,800--

2,00- -

2,000--

1,6oo.-

200- 1,

800- -

454Mw 3 Ret 280MW I1 New 22KW
042 Re
44 l.1W

70 MW 550MW
I Ret
1 Ret
1

2314M? 3126M'4 842MW I Newl 3 Newi J 6 Ne w i 3 New I Relt' -'---' I----' 100 125 150 175

I Re. '

25

50
No.

75 of Plant,

200

225

26 Group
14 New 12 Retrofit

6 NL
7 NLS 8 RL 2 RLS

Average($/kWh) 130.12 124.83 144.4 139.4 111.5 153.2 143.8

Standard deviation 20.62 19.6

45.6
33.0

19.4 58.9 80.3

Capital Costs Distribution

Figure 3.2

-53Plant Size (MW) 4,600.3,60(H-

3, 20
2,8 2,40 -

2,00
1,60

1,2
8004.

1410MW
7 Rt

134 MW 2 Ret

28NMW 1 New l not _ 2.5

2539MV
6 New

144
4 New

2708MV 3 New 10

510KV

410KV

I Rot 1 Ret Mills/Wh
15 17.5

7.5

12.5

No. of Plants
26 Group 14 New 12 Retrofit

Average(Mills/kWh) Standard deviation 8.7 1.7 8.4 1.8

6 NL 7 NLS
8 RL 2 RLS

9.6

3.1
2.9

9.7

7.3

2.0

11.3

6.8

4.5

3.6

Annual Costs Distribution

FYiur

3.3

-54-

install a FGD system on an already existing plant than to build both a new scrubber and a new plant. The numbers given in Table 3.2 indicate that there are 12 FGD retrofit systems with a total size of 2590 MW and 14 new FGD systems with a total size of 6973 MW. Therefore the average retrofit unit size is 216 MW As stated by the economic

whereas the average new unit size is 498 MW.

principle of economies of scale, the bigger the size of the unit, the less the capital cost will be. former one. The following interpretation reinforces the

It is cheaper to design both a new plant and a new scrubber

rather than trying to design a scrubber which will fit an old boiler "as well as possible" The standard deviation is lower than average for the new plants, which means that the capital costs are about the same. On the other hand, the

capital costs for retrofit systems are spread on a wide range, from $62.80/kW for Hawthorn 3 and 4 to $210.00 for Phillips 1-6. The results by category show that the limestone process installed on new plants (NLS) has the lowest capital cost. The other results are not as

meaningful since there is a very high standard deviation which cannot lead to a general interpretation. Annual Costs: The annual costs are again higher for retrofit plants and spread on a wide range from 4.8 mills/kWh for Cholla 1 to 17.6 mills/kWh for Phillips 1-6. again by the NLS cataegory. The cheapest annual costs are obtained once The RLS category is not considered because A

there were only 2 plants and the standard deviation was quite high.

possible explanation lies in the very cheap price of the limestone which was in 1980 about $11.60 per ton versus a price of $46.00 per ton for the

T

Y6 IIMINN =11 Y1Y

-55-

lime.

This may also explain the curious shape of the distribution curve

with two peaks: one between 5 and 7.5 mills/kWh, the other between 10 and 12.5 mills/kWh. Most of the lime processes are represented by the second

peak whereas most of the limestone processes are represented by the first peak. It is interesting to determine the relation between the annual cost and the design removal efficiency given in Table 3.2. drawn on Figure 3.5. This curve has been

As expected, the greater the efficiency, the more The different points are not on a straight Between the upper limit and the The slope of the upper limit is

expensive the annual cost is. line.

However the limits can be drawn.

lower one all the points can be found.

greater, which means that the greater the efficiency, the larger the range of the annual cost.

3.3.3 Energy Consumption

The distribution curve of the energy consumption expressed in percent of the total MW capacity has been drawn in Figure 3.4. The energy

consumption is higher for new (3.7%) than for retrofit FGD systems (2.8%). The following explanation may be given. If an FGD system is retrofitted to

an existing boiler the new electrical power demand of the FGD equipment will decrease the boiler net MW rating. Since the boiler was originally

sized and designed to accomodate a certain grid demand, the utility may be forced to buy make-up power from the grid and/or increase the design capacity of planned boilers. Therefore the energy consumption for retrofit

-56Plant Size

(MW)

2,8004

e.

2, 400.

2, 000.

1,600.

1,200-

800-4

400- - 200MW 3 Ret 465MW 2 New
0-

290 MW 3 Ret

600 MW 3 Ret

550 M
1 Ret

2350 MW 2005 MW 4 New 4 New

194 MW
1 New

1834 MW 2 New

Energy Consumption (% of total energy consumed)

2
No. of Plants 23 Group 12 New 11 Retrofit

3 Average(%)

4

5
Standard deviation 0.8

6

3.5 3.7
2.8

66 NL 7 NLS
8 RL 2 RIS

0.9 1.0

4.9
2.8 2.2

1.7 0.5
0.7
2.3

4.5

Energy Consumption Distribution

Figure 3.4

----- unilrul Irlivlirl~ rrlllllri

-57Annual Cost

(MillsA/kh)

+

+

~

7"

40

50

60

70

80

90

- -o00

Annual Cost vs. Desigu% Removal Efficiency
I,,,I II I II I

Figure 3.5

systems will be designed as low as possible. For a new system the problem is not the same. The energy consumption

required by the FGD system will be determined at the same time as the boiler size so that both work properly. The high price of energy will of

course make it necessary to obtain a low energy consumption but it is not as imperative as for a retrofit system.

3.3.4 Impact on Consumer/Producer

The average annual cost of the FGD technology is about 9 mills per kWh (See Figure 3.3). It represents about 15% of the price of a kWh if we This setms to confirm

consider an average price of 60 mills for one kWh.

the claim that scrubbers would add at least $4 a month to the average home utility bill. (Dumanoski, 1982) The objective of this section is to

determine the distribution of FGD cost between producer and consumer. The study of electricity rates and more generally of the American electricity supply is very complicated. American electricity supply is This

decentralized into a patchwork of geographically separate operations. is very well described by Wilcox and Shepherd. (Wilcox et. al., 1975)

To explore the behavior of regulated firms, a variant of the standard Averch-Johnson model (Anderson et. al., 1979) can be used. The standard

Averch-Johnson model shows that a monopoly constrained in its decisions by a regulatory agency to earn a "fair rental" greater than the rental it would earn in a perfectly competitive market will use relatively more capital and less labor than cost minimization would require. As a

EINmmmli Iii,

-59-

hypothetical example, one might envision a regulated firm that employs excess capital in the form of pollution abatement equipment (See Section 4.3.3). The expanded capital stock would permit a higher absolute level of

profits. (Silverman et. al., 1982) The use of this model suggests that the FGD technology helps the electric utilities to increase their profits. Therefore the impact of FGD

which can be reviewed as a tax (for each kWh produced, 15% of the cost is due to the scrubber) will be greater on the producer than on the consumer. It confirms the fact that in a perfectly competitive case, the burden of the tax shifts from consumers to producers as we move from the short run to the long run for non-durable goods. (Mansfield, 1982) Whereas the

demand for durable goods such as cars is characterized by a stock adjustment effect and therefore the long run demand curve will be more elastic than the short run demand curve because substitutes for electricity such as natural gas will become available. However if we forget economics for a while and try to think simply about it, we guess that in the long run the consumer will eventually pay for it even if at the beginning the producers are obliged to pay for it because

of the regulated price.

The producers will notice a decrease of their

profits due to the investment and use of scrubbers and will ask to raise the regulated price. Who will the victim be? The consumer, very likely!

3.3.5 Combination of Annual and Capital Costs or Net Present Value

It would be very useful to compare these different plants with one

-60-

index only.

This index is the cost and investment ratio or the present

value of forecasted future costs plus the initial investment divided by the size in MW. This index is almost the same as the profitability index (or

benefit-cost ratio) described in corporate finance. (Brealey, et. al., 1981) However the benefits brought by the scrubbers are difficult to it is always very difficult to measure the benefits brought by an

measure.

air pollution control device. On the other hand it is easier to calculate the annual cost and to add the present value of these future annual costs to the initial investment. In order to calculate this index, the following assumptions were taken into account: - The real opportunity cost of capital is 10 percent (assume a nominal opportunity cost of capital of 18 percent and an inflation rate of 7 percent) - The useful life of retrofit scrubbers is 20 years whereas the useful life of new scrubbers is 30 years. - The marginal tax rate for all plants is 0.46 and all plants are assumed to pay taxes. - The investment tax credit is 10% and the depreciation tax shield has been calculated with the 1982 Accelerated Cost Recovery System (ACRS) on a 5-year basis. The calculation of this index is shown in Table 3.3. and the classification of these plants according to this index is shown on Figure 3.6. As indicated in Table 3.3, some plants burn low-sulfur coal while The average index for low sulfur is 0.23 While the differences

others burn high-sulfur coal.

whereas the average index for high sulfur is 0.36.

_

1 11111

1111111

. I ........ ...

-61 -

Cost Index (Investment + PV Future Cost After Tax) Plant Sie (MW) X millips 1-0

0,6

0.5+
X Elrama 1-4 X Paddy's Run 6 X Green River 1-3 Mansfield 1-2 X X Ia Cygne 1 X Petersburg 3 E Colstrip 1-2 X Southwea it 1 D Reid Gardnez 3' X TVA 8 U Milton R.Young 2 5 X ConsvCane Cane Ran 16 Duck GreeK I
X

0.3

0 Reid Gardner 1-2 0.2.-

D Sherburne 1-2

X Cane Run 5
U Hawthorn 3-4 D Cholla 1

X High-sulfur Coal
0.1N Winyah 2 D Low-sulfur Coal

0+ 50

. 150

2 0 250

30350

0o 450

0 .0

550

650

Plant Sie(MW7 750 850 950

--

a

Classification of the 26 Plants according to Sie and Cost Index. Figure 3.6

-62-

Table 3.3 Cost Index

Plant Name

$1,000,000 Index (a) Capital Annual $1,000,000 Net Present Initial cost Net cost Value of mills/ Investment $/kW Cost (Tax included) kWh 81.3 132.2 99.4 187.8 210.0 162.1 62.8 100.1 117.8 115.2 102.4 133.0 155.7 145.9 87.1 150.9 102.6 144.2 47.0 143.4 158.1 4.8 5.8 6.8 12.9 17.6 9.7 5.2 11.3 11.0 6.2 5.3 12.2 6.4 8.3 5.8 7.4 5.4 11.3 1.8 .8.2 7.3 5.96 29.05 23.75 55.69 50.06 50.14 4.02 50.87 4.38 12.73 11.91 5.41 16.75 30.54 6.33 10.97 42.95 76.88 7.65 16.18 50.56 16.61 66.68 85.00 180.68 198.18 156.94 15.71 300.36 19.33 32.35 29.11 23.45 36.0 90.87 19.91 28.13 118.24 315.14 15.33 48.38 110.27 0.179 0.253 0.265 0.463 0.605 0.389 0.179 0.402 0.370 0.237 0.205 0.412 0.285 0.337 0.210 0.313 0.224 0.428 0.082 0.333 0.292 L H H H H H L H H H H H L L

(b)

Cholla 1 Duck Creek 1 Conesville 5 Elrama 1-4 Phillips 1-6 Petersburg 3 Hawthorn 3 La Cygne 1 Green River 1-3 Cane Run 4 Cane Run 5 Paddy's Run 6 Milton Young 2 Colstrip 1 Colstrip 2 Reid Gardner 1 Reid Gardner 2 Reid Gardner 3 Sherburne 1 Sherburne 2 Mansfield 1 Mansfield 2 Winyah 2 Southwest 1 TVA 8

RLS NLS NL RL RL RL RL NLS RL RL RL RL NLA NLA

L RSC L L NSC L NLSA L NL H H L NLS H NLS H RLS

a. b.

L means lowsulfur coal whereas H means highsulfur coal. In this column are indicated the main processes: Retrofit limestone RLS New limestone NLS Retrofit lime RL NL New lime NLA New lime/Dual alkali NLSA New limestone/Dual alkali Retrofit Sodium carbonate RSC New Sodium carbonate NSC

-63-

between the new and retrofit scrubbers decrease with the cost index (because different useful lifes are considered), the limestone process still remains cheaper and it is cheaper to install a scrubber on a plant which burns low-sulfur coal than to install a scrubber on a plant which burns high-sulfur coal.

3.3.6 Conclusion

Several studies or forecasts of the cost of FGD technology were made within the last ten years. obtained with our results. In 1973, the Sulfur Oxide Control Technology Assessment Panel (U.S. Environmental Protection Agency, 1973) estimated the costs of six different sulfur oxide control technologies. The investment per kilowatt of capacity It is interesting to compare the results

ranged from $17 to $65, and the operating costs ranged from 0.6 mills to 3 mills per Kilowatt hour. At the time these costs were estimated, they

represented a large fraction, ranging from 20 percent upward, of the total cost of electricity generation. based on actual data. An attempt to produce a generalized cost function has been made by Burchard, (Burchard, 1972) who used data from a number of cost studies for sulfur dioxide scrubbing systems and developed equations to represent costs under a variety of conditions. Although it is not clear that Burchard's These costs were estimates and were not

equation is actually fitted by regression techniques to the existing data, he does use his equation to reestimate the cost of actual facilities in his

-64-

input data and finds that his cost estimates are within 15 percent of the original estimates. A notable feature of Burchard's equation and data is the tremendous range in most of the cost variables, many of which vary by at least a factor of 2. The major contribution of this cost function is to reconcile

the variety of cost estimates for different scrubbing installations, which vary enormously in parts because of the tremendously varied conditions of plant size, fuel sulfur content, byproduct, disposal costs, and a number of other factors. Methods for sulfur dioxide removal from stack gases have been known in principle for some time, but only during the last decade have large-scale installations been made that can lead to the development of improvements and cost reductions in this technology. If policies are adopted that

encourage or force the installation of large numbers of sulfur dioxide scrubbers over the future, it would be reasonable to expect that research and development would lead to substantial improvements in these processes. Maximum efficiencies should rise and costs should fall. All this cost analysis is concerned by the tail-end treatment or removal of sulfur dioxide from stack gases. It is also possible to reduce

sulfur dioxide emisions, by removing sulfur from the fuel before it is burned, by burning a low-sulfur fuel. Depending upon market conditons, in

some cases it may be less expensive to purchase low-sulfur coal than it is to install stack gas scrubbers (See Section 1.2). Thus cost estimates

based upon gas stack scrubbing alone are likely to overestimate actual costs incurred in a cost-minimizing abatement program for an area or a country.

-65-

4 4.1

FUNCTIONAL ANALYSIS OF PROVEN FGD Introduction

The cost analysis described in Section 3 would not be sufficient without a functional analysis. One of our assumptions was a continuous
Therefore the prices

operation of the boiler and a capacity factor of 65%. calculated in Section 3 might not be realistic.

A very high annual cost On the other

might result from a very low utilization of the scrubber.

hand, a very low annual cost might result from a very high utilization. In order to remedy these drawbacks, we will study how well the FGD systems operate and what are the main reasons for failure. Section 4.2 contains an overview of the proposed methodology. A

definition of different viability indexes is given and the way these data are collected is explained. In Section 4.3, the results obtained by applying this methodology are shown. The four main processes are compared with the set of indexes The evolution of one of these indexes, the The different regulatory classes are presented and

previously described. operability, is shown.

a study of the operablity limit shows how well the legislation is applied. After an analysis of the main reasons for failure, applied results is given. Section 4.4 constitutes a synthesis of the results obtained in Section 4 and Section 3. The definition of the operating cost is given. Then the an interpretation of the

average cost curve can be drawn. Finally in Section 4.5 improvements of the viability of the FGD systems are suggested as well as other methods of sulfur removal.

-66-

4.2

Description of the Methodology

4.2.1 Definition of Different Viability Indexes

Several parameters have been developed to quantify the viability of FGD system technology. The operation of any FGD system during a given

period can be accurately represented by the "availability," "reliability," "operability," and "utilization" indexes. below and discussed briefly. The availability index (A) is defined as the number of hours the FGD system is available for operation (whether operated or not) divided by the number of hours in period (8760 hrs for a year), expressed as a percentage: These parameters are defined

A(%) = available FGD hrsx 100 hrs in period

This parameter tends to overestimate the viability of the FGD system because it does not penalize for election not to operate the system when it could have been operated. Boiler downtime may tend to increase the

magnitude of the parameter because FGD failures generally cannot occur during such periods. The reliability index (R) is defined as the number of hours the FGD system was operated divided by the number of hours the FGD system was called upon to operate, expressed as a percentage:

R(%) =

actual FGD hrs x 100. Called upon FGD hrs

This parameter has been developed in order not to penalize the FGD

-

I...mE*IIII1

.IIIhI&II

system for elected outages, periods when the FGD system could have been run but was not run because of chemical shortages, lack of manpower, short duration boiler operations, etc. The main problem in using this formula is

the concise determination of whether the system was "called upon to operate" during a given time period. Moreover, an undefined value can

result when the FGD system is not called upon to operate for a given period (for instance, turbine or boiler outage when the FGD system is available). The operability index (0) is defined as the number of hours the FGD system was operated divided by the number of hours the boiler was operated, expressed as a percentage:

0(%)

=

actual FGD hrs actual boiler hrs

This parameter indicates the degree to which the FGD system is actually used, relative to boiler operating time. The parameter is

penalized when options are exercised not to use the FGD system when the system is operable. In addition, an undefined value can result when the

FGD system is not called upon to operate for a given period (f6r instance, turbine or boiler outage when the FGD system is available) (See reliability). The utilization index (U) is defined as the number of hours the FGD system was operated divided by the number of hours in period (8760 hrs for a year), expressed as a percentage:

U(%) * actual FGD hrs x 100 hrs in period

-68-

This parameter is a relative stress factor for the FGD system. It is not a complete measure of the FGD system viability because the parameter can be strongly influenced by conditions that are external to the FGD system. Infrequent boiler operation will lower the value of the parameter

although the FGD system may be highly dependable in its particular application.

4.2.2 Collection of the Data

The four indexes mentioned above have been reported monthly and supplied voluntarily by utility representatives, FGD system suppliers and designers, regulatory agencies and others. These FGD system design and

performance data have been collected in a computerized data base known as the Flue Gas Desulfurization Information System (FGDIS). Neither the U.S.

Environmental Protection Agency (EPA) nor the designated contractor warrants the accuracy or completeness of information contained in this data base. The information provided for this thesis comes from a report which summarized the data from the data base. (Bruck et. al., 1981)

Among the four indexes reported, only the last two can be actually checked because both the number of actual FGD hours and the number of actual boiler hours are also reported. As a matter of fact, the reported They

operability and utilization indexes have not been taken into account. were recalculated from the numbers of hours indicated.

The reliability and operability indexes can be easily compared since

Irili1

Irili

-69-

they only differ by the value of their denominator.

It seems clear that

when the boiler does not operate, the FGD system should not operate either. Therefore the number of hours the FGD system is called upon to operate should be less than the number of actual boiler hours, which means that the reliability should be greater than the operability. can be noticed for a few utilities. However, the contrary

As mentioned above, it depends on the Since the number of hours the FGD

definition of "called upon to operate".

system was called upon to operate and since the number of available FGD hours are not recorded, the availability and reliability indexes cannot be trusted as much as the operability and utilization indexes. It will also be noticed that for some other reasons such as strike or personnel change, the numbers recorded are either unavailable for a given period or not recorded the same way they were before. All these considerations have been taken into account so that the

following analysis could be as reliable as possible.

4.3

Results and Interpretations

4.3.1 Comparison of the Different Viability Indexes in 1980 or 1981

The utilization, operability, reliability and availability were calculated for the group of plants already analyzed in Section 3. The method of calculation is explained in the Appendix. presented in Table 4.1. The results are

The capacity factor is also included.

The distribution curve of the utilization index has been drawn on
Figure 4.1. The retrofit scrubbers are not used as much (55%) as the new

-70Plant Size

(MW)

2, 4 00--

2,100-

1,800 -

.5004-

1,200+

r
CI

900+

6004-

300--

190MW 536MW 1 Ret . Ret

325MW 2 Ret

635MW
2 Ret

0 30

.,770MW 2202MW 852 MW 1102MW i125MW 2 New iI New 3 Ret 3 New ,3 New 40

1440nw
12 No v

2 New

I

50

60

70

80

90

100%

No of Plants 21 Group 11 New 10 Ret 4 NL 6 NLs 6 RL 2 RLS

Average(%) 61.1

Standard deviation 11,3

63.9
54.8 54.8 70.6 58.9

13,0
12.8 15.0 18.7 18.9

39.9

13.6

Utilisation Index distribution Figure 4.1

1

#t

,.a

Table 4.1 Viability Indexes in 1980 and 1981

Plant Name

New StartRet Up Date

MW

Process

Utiliz Operab reliab availab cap Fact

Cholla 1 Duck Creek 1 Conesville 5 Elrama 1-4 Phillips 1-6 Petersburg 3 Hawthorn 3 Hawthorn 4 La Cygne I Green River 1-3 Cane Run 4 Cane Run 5 Paddy's Run 6 Milton R. Young 2 Colstrip I Colstrip 2 Reid Gardner 1 Reid Garnder 2 Reid Gardner 3 Sherburne 1 Sherburne 2 Bruce Mansfield 1 Bruce Mansfield 2 Winyah 2 Southwest 1 TVA 8
(NA = Not Available)

R N N R R N R R N R R R R N N N R R N N N N N N N R

10/73 7/76 1/77 10/75 7/73 12/77 11/72 8/72 12/72 9/75 8/76 12/77 4/73 9/77 9/75 5/765 3/74 4/74 6/76 3/67 3/77 12/75 7/77 7/77 4/77 5/77

126 378 411 510 410 532 110 110 874 64 190 200 70 185 360 360 125 125 125 720 720 917 917 280 194 550

limestone limestone lime lime lime limestone lime lime limestone lime lime lime lime lime A lime A lime A SC SC SC limestone A limestone A lime lime limestone A limestone A limestone A

55.4 52.5 49.6 72.2 58.5 NA 35.9 36.7 45.1 NA 49.3 60.0 NA 66.3 NA NA 76.5 62.0 70.4 95.3 96.3 45.5 63.9 58.5 51.2 36.4

72.7 72.7 88.9 78.7 64.3 NA 100 100 98.1 NA 85.8 90.8 NA 78.6 NA NA 93.3 94.3 98.2 100 100 100 100 93.5 74.5 80.7

99.81 82.0 93.1 94.2 73.5 NA 97.0 93.9 93.7 NA 92.1 94.3 NA 90.1 NA NA 93.1 96.5 95.4 100 100 NA NA 94.0 85.7 NA

99.82 58.9 82.2 95.4 74.6 NA 93.0 85.6 85.9 100 79.0 86.1 100 74.4 89.3 88.4 93.6 97.5 87.2 100 100 77.8 95.9 85.9 63.3 90.6

87.1 62.9 83.3 49.0 50.5 NA 25.8 45.3 45.6 NA 39.8 45.2 NA 83.2 NA NA 96.8 95.3 88.5 71.2 72.6 NA NA 69.8 63.3 41.0

-72-

ones (64%).

The limestone process installed on new plants (NLS) has a very In Section 3, the same NLS category obtained However, as was explained in

q

high utilization index (70%).

the lowest annual cost in mills per kWh.

Section 4.2.1 this index can be strongly influenced by conditions that are external to the FGD system. other indexes. The distribution curve of the operability index has been drawn on Figure 4.2. The operability index is definitely higher (95%) for FGD This is the reason why we must consider the

systems installed on new plants than for FGD systems installed on old plants (83%). However the lime process installed on new plants has now the Nothing can really be concluded about the

highest operability index. processes.

Whereas the difference of operability between the new and

retrofit scrubbers is high (more than 10%), the difference of operability between the lime and limestone processes, on either old or new plants is very low (2 or 3%). given. The distribution curve of the reliability index has been drawn on Figure 4.3. Only 18 plants gave values of reliability indexes. It mainly In section 4.3.3, an explanation of these results is

comes from the difficulty to define what is meant by "called upon to operate". The differences between new and retrofit scrubbers, as well as

between lime and limestone processses are not very important. The reliability index is the highest of the four indexes. value (93%) is also very high. Its average

For the lime processes installed on new As

plants (NL), the reliability is lower (92%) than the operability (97%). mentioned in Section 4.2.2 the operability should be lower than the reliability. The contrary means that the FGD system was called upon to

-73-

Plant Size

(xV)

1,8

796 MW 6 Ret 4428 MW 60 70
No. of Plants 21 Group 11 New 10 Retrofit

80

90

lo0%

4 NL
6 NLS

Average(%) Standard deviation 91.3 15.9 18.3 95.0 82.7 15.3

96.5

28.0

6 RL
2 ELS

94,.1 80.4

21.4

83.7

16.3 33.7

Operability Index distribution

-

_

r---rx.--~----X~

~-PII-S=i~E ~---pPs

~;

~__~

_~__~

-74Plant Sise

(MW)

3, ooo00
2,7 2,700-2,100-1,8001,50 M 4

1,200- 900- -

600- 300-01 __

1135 MW 361 MW 5 Ret 3 Ret
410 0 Ret 378 MW 1750 MW 1565 mlM 1 New 194 MW 4 New 3 New 1 New

A

70

75

80
Average(%) 93.0

1oo% Standard deviation

No. of plants 18 Group 9 New 9 Retr fit 2 NL 6 NLS

94.3
90.1
92.2

16.7 19.8
18.6

6 RL
1 RLS

94.7

25.6
20.0 21.0 0

88.6 99.8
Reliability Index distribution

__

_

__

_

_

__

_

_

__

_

InMm

IIilfi A, Iih

-75-

operate when the boiler was not operating.

It might be a way of keeping

the FGD system in operation in order to avoid the formation of sludges. The distribution curve of the availability index has been drawn on Figure 4.4. Contrary to the three former indexes, the availability of the

retrofit scrubbers is greater than the availability of the new scrubbers. This result is only surprising in appearance. If the boiler does not

operate most of the time, the risk of FGD failure is very low and therefore the availability of the system is very high. This is the reason why we

must also consider the utilization index when we look at the availability. We already saw that the utilization index is a lot lower for retrofit scrabbers than for new scrubbers and this is amazing result. Finally the distribution curve of the capacity factor has been drawn on Figure 4.5. This capacity factor is the capacity factor of the boiler However a comparison The average the reason why we observe this

and does not measure the viability of the FGD system.

of this curve with the FGD utilization curve can be made.

capacity factor is the same as the average utilization factor - 61%. Whereas the capacity factor of a new boiler (67%) is greater than the utilization factor of a new scrubber (64%), the capacity factor of an old boiler (52%) is less than the utilization factor of a retrofit scrubber (55%). Nothing can be concluded from this comparison because these two

indexes are really independent.

-

p-rrrl --

C-=--F~CI ~Ccr=ii~= -~F-4LI-;W-~_I________

-76Plant Size

(MV)
4,0001 3,6004 3,202,80 2,0 2,00 1,60 1,20 800-4 600 MW 2 Ret
3

310 MW
2 Ret

1680 MW 8 Ret 2 57 MW 3 New 100%

40

I New
,ThneU

194 MW 1 New

1102 MW 2410 MW 2 New 6 New I ~I r

No. of Plants 25 Group 13 New 12 Retrofit 6 NL 6 NLS 8 RL 2 RIS

Average(%) Standard deviation 87.5 13.8 86,7 15.1

89.1

86.0 87.7 86.8 92.3

19.7
20.0 20.9 23.3

39.0

Availability Index distribution

I

-77Plant Sise (MW)

20

30

40

50

60

70

80

90

10oo%

No. of Plants 19 Group

Average(%)

Standard deviation

9 New

10 2 6 6 2

Retrofit NL NS RL RLS

61.1 66.8 52.0 83.3
62.9

9.7
11.7 9.2 22.A 12.0 13.2 12.1

45.8

49.6

Capacity Factor distribution PFigure 4.5

-78-

4.3.2 Evolution of the Operability

Among the four viability indexes described in Section 4.2.1, the operability seems the most reliable since the number of hours the FGD system is operated is recorded by the utility as well as the number of boiler hours. FGD system. It also gives an accurate measure of the viability of the That is the reason why this index has been chosen to analyze

the viability of the FGD systems through the years. The results are shown in Table 4.2. only after the commercial start-up. The years of FGD operation begin

Four plants, Hawthorn 3 & 4, La Cygne The value 0 was

1 and Paddy's Run 6 have been operating for nine years.

given to the operability whenever both the number of boiler hours and FGD hours were equal to zero, which was a case of indetermination. The average operability has been calculated for every year and drawn on Figure 4.6. During the first three years the operability stays at a low

level of about 60% before jumping at the fourth year and reaching during the following years an asymptotic level of about 95%. The average operability was also calculated for the four different categories of processes, new lime, new limestone, retrofit lime, and retrofit limestone scrubbing. the NL category. It is interesting to look at the curve of

The shape is about the same as the average operability.

However the level of the first years is lower at about 30% and the asymptotic level is lower at about 80%. The precipitation of calcium

sulfate or gypsum can explain this low level of operability. The shape of the average operability curve can be compared to the Sshaped curve of the spread of innovation described by many economists.

$

."

.

L

Table 4.2 Evolution of the Operability (%)
N 2 a a a 4 a £

year 0

year 1

year

year ..

year

4 year

year

year 7 year 96.9
N.A.
-o--

(a)
-r-

Cholla 1 Duck Creek 1 Conesville 5 Elrama 1-4 Phillips 1-6 Petersburg 3 Hawthorn 3 Hawthorn 4 La Cygne 1 Green River 1-3 Cane Run 4 Cane Run 5 Paddy's Run 6 Milton R. Young 2 Colstrip 1 Colstrip 2 Reid Gardner 1 Reid Garnder 2 Reid Gardner 3 Sherburne 1 Sherburne 2 Bruce Mansfield 1 Bruce Mansfield 2 Winyah 2 Southwest 1 TVA 8
... (NA = Not Available)

2 25 1 0 11 0 0 0 6 9 12 7 0 9 2 5 1 0 1 2 1 6 3 0 5 8

months months month month months month month month months months months months month months months months month month month months month months months month months months

(74)

65.1

84.7

(78) (77) (76) (74) (78) (73) (73) (73) (76) (77) (78) (73) (78) (76) (76) (74) (74) (76) (76) (77) (76) (77) (77) (77) (78)

30.0 35.4
0 28 NA 0 O 60.7 86.7 84.4 80.9

43.7
41.0 0
28 NA

55.0 56.3
NA NA O O 54.9

0 0 77.2 87.3 78.4 80 62.5 45.1
NA

88.7 68.3 34.1 46.7 28 NA 37.3 41.5 NA 58.7 71.0 82.7 97.5

84.8 72.7 75.6 64.9 67.6 NA 28.4 32
NA

96.0 88.9 98.6
49.1 74.1 69.6 NA 0

92.5 78.7 68.9 82.5 100 NA 0 99.7 NA NA 88.7 92.7 97.1 100 NA
------

71.5 100 100 NA

64.3 78.9 100 89.0

60.3
NA NA 77.4 74.9 92.6

NA
63.3

87.5
75.3 88.1

86.9 87.4 79.8 83.8
0 O

84.5
63.5 NA

83.7

94.0 30.1 96.3

83.6 NA NA NA 97.5 35.3
80.7

99.5 85.9 90.8 90.1 78.0 NA NA 47.6 69.6 87.8 NA NA NA 100 99.1 40.9 NA

85.8 78.6 NA NA 89.6 85.4 89.2 NA 100 100 NA 93.5 74.5
--

36.3

89.80

-93.3 4.3
,-

87.1

94.4
--------

-----

m--

a. This column does not give an operability index but the number of months between the start-up and the end of the year

-80-

Operability

M%

AverageYi

Y2

Y3

1 Y

Y5 87.8

Y6

Y7

Y8

Y9 Year

Operabil.

Group 57.6 63.3 64.7
NL 72.0 55.1 47.0

77.6 90.8

87.9

81.7 83.8 92.6

96.6 94.3 100.0
89.0 98.1

NLs
RL R.LS

60.0 75.9 76..
31.9 31.5 50.8
80.2 94.1 82.2

68.9
84.8

73.8 96,0

79.2 92.5

77.7 74.8 75,9 96.9

Evolution of the Operability

Figure 4.6

11 IIIIJ 11 I1,11 IIIII 11611, 1, 11I I 1 IIIJI 11 1

.1 1

IIIEW

-81-

(Kennedy et. al., 1972)

This curve shows that most innovations exhibit a

slow initial acceptance, a period during which many firms adopt the innovation and a final stage in which adoption ceases (at perhaps less than 100%). The meaning is slightly different. The percent of firms adopting

the FGD technology does not change since we are studying our 26 utility plants. However it represents the evolution of technical progress and

shows how fast the utilities master the FGD technology.

4.3.3 Regulatory Classes and Operability Limit

The sulfur emissions are regulated by standards set up by the Environmental Protection Agency (EPA) and called the New Source Performance Standards (NSPS). These standards, promulgated in December 1971 and in

June 1979, are more stringent for new plants than for old plants. Depending on the plant location and the quality of coal used, the plant belongs to one of the following categories: A The unit is subject to NSPS promulgated in June 1979. B The unit is subject to NSPS promulgated in December 1971. C The unit is subject to standards more stringent than 79 NSPS. D The unit is subject to standards more stringent than 71 NSPS, but no more stringent than 79 NSPS.
E The unit is subject to standards equal to or less stringent than 71

NSPS.
These categories are shown on Table 4.3. PEDCo. These data were provided by

For each plant are given both the regulatory classification and the

Table 4.3 Regulatory Classes and Operability Limit

Plant Name

Start-Up Date

Process

Size (MW)

Regulatory Classification

x10

g/J S02 emission limitation

9

Operability limit

Cholla 1Duck Creek 1 Conesville 5 Elrama 1-4 Phillips 1-6 Petersburg 3 Hawthorn 3 Hawthorn 4 La Cygne 1 Green River 1-3

10/73
7/76 1/77 10/75 7/73 12/77 11/72 8/72 12/71 9/75

RLS
NLS NL RL RL NLS RL RL NLS RL

126
378 411 510 410 532 110 110 874 64

C
B D D D B D D E E

430
516 516 258 258 516 258 258 1290 387

0
74.2 80.6 79.7 79.7 70.9 2.8 2.8 59.6 72.9

Cane Run 4
Cane Run 5 Paddy's Run 6 Milton R. Young 2 Colstrip 1 Colstrip 2 Reid Gardner 1 Reid Garnder 2 Reid Gardner 3 Sherburne 1 Sherburne 2 Bruce Mansfield 1 Bruce Mansfield 2 Winyah 2 Southwest 1 TVA 8

8/76
12/77 4/73 9/77 9/75 5/76 3/74 4/74 6/76 3/67 3/77 12/75 7/77 7/77 4/77 5/77

RL
RL RL NLA NLA NLA RSC RSC NSC NLSA NLSA NL NL NLS NLS RLS

190
200 70 185 360 360 125 125 125 720 720 917 917 280 194 550

D
D E D B B B B B D D D D B B E

516
516 516 516 516 516 516 516 516 413 413 258 258 516 516 516

74.3
74.3 70.4 0 0 0 0 0 0 0 0 83.6 83.6 0 75.7 96.5

1

.

1

1

t

--

-

___________________________________________________ im InIIIIuIIIInII

mrnmIIIIhIIImYI ImMNY1ImI

-83-

emission limitation expressed in Nanograms (10-9 g) per Joule. The operability limit is defined as the minimum operability necessary so that the FGD system meets the requirements of the plant regulatory classification. The quantity of sulfur emitted, expressed in Ng/J, is defined as the ratio of the sulfur content over the heat content of the coal used by the utility, and given in Table 3.3.

Quantity emitted

=

Aver sulfur content (%) Aver heat contept (j/g)

The quantity of sulfur which must be removed by the scrubber is equal to the difference between the quantity emitted and the emission limitation, given in Table 4.3:

quantity removed = quantity emitted - emission limitation

(1)

We also know that this quantity removed is equal to the quantity emitted multiplied by the scrubber removal efficiency given in Table 3.2 and by the operability limit OL:

quantity removed - quantity emitted x scrubber efficiency x OL

(2)

Therefore combining equations (1) and (2), we obtain the value of the operability limit OL:

emission limitation quantity emitted

1 scrubber efficiency

-84-

This operability limit was calculated for the 26 plants and is shown in Table 4.3. 4.7. The operability limit distribution is shown below in Figure

No. of plants 26 14 12 6 7 8 2

Average Group New Retrofit NL NLS RL RLS

OL 50.7 45.7 63.9 59.2 35.8 67.16 78.5

Standard Deviation a 12.8 14.8 23.5 26.7 13.9 24.1 55.5

Figure 4.7:

Operability Limit Distribution

The first interesting result is the great number of zeros.

It simply

means that the scrubber is useless and that on the average the quantity of sulfur emitted is below the limitation. One can therefore wonder why these The answer is some

people bothered investing so much money for nothing.

concern with the future when new, more stringent standards might be promulgated and when the regulatory classification might be changed. Another answer is the overcapitalization under the form of pollution abatement equipment due to regulatory constraints known as the AverchJohnson effect, described in Section 3.3.4. The average operability limit is 50.7, below the average operability of the learning curve (57.6) shown in Figure 4.6. These results are

-85-

apparently good,

However, a closer look is necessary.

When not zero, the

operability limit is included between 70 and 95%, numbers usually reached by the fourth year of utilization (See Figure 4.6). Moreover the RL

category whose learning curve is well below the average learning curve (-20%) has one of the highest operability limits (67.6). In 1981, 5 FGD

systems representing 25% of the MW capacity had operability indexes below their operability limits. The conclusion is quite disappointing. Whenever

the scrubbers are useless the present operability is very high whereas whenever the emission limitations depend on the operability, this index is generally below the limit.

4.3.4 Main Reasons for Failure

The main reasons for failure are the freeze of the make-up solution, the plugging of the lines and the corrosion of different parts of the FGD system. (Chem Systems International Ltd., 1976) In the winter months, when the weather conditions are particularly bad, a utility experiences some problems due to frozen pipes. Although it

does not endanger the scrubber nor its components, the freeze decreases the level of operability and is difficult to prevent. the operability index does not go over 92%. That is the reason why

Moreover the capacity factor

of the plant is generally the highest during these winter conditions because the demand for electricity reaches its peak. While the scrubber

cannot operate because of the weather, the boiler operates much more than usual and thus a bigger quantity of sulfur is emmitted to the atmosphere.

-86-

The plugging of the lines has been reported by almost all the utilities which operate a FGD system. first years of operation. This generally occurs during the

While the firm moves along the learning curve,

these problems are progressively solved. A certain level of solids must be maintained in the slurry. Thus the

precipitation of gypsum and the calcium sulfite/sulfate solid solution occurs. However the system must be kept below the critical level of

saturation with respect to gypsum. Another parameter, the pH, has an important impact on scaling. A high

pH promotes the formation of scale whereas a low PH reduces the sulfur dioxide removal. Optimum levels of 8 for lime and 6 for limestone have

been determined by operating experience. Corrosion seems to be a very important problem in the FGD systems. Even if'in the short therm it does not cause a decrease of the operability index, it will on a longterm basis. are the main agents of corrosion. Sulfurs containing acids and chlorides Elimination of scale in the system

reduces potential sites for locally high concentrations of chloride ion. The scrubber shells are now made of stainless steel instead of carbon steel because of its superior resistance to corrosion. Although the scaling and corrosion problems are solved when the utility moves along the operating curve, the freeze problem still remains. Dry scrubbing may be a solution.

___~_

^____

____.

_______

-87-

4.3.5 Other Performance Indexes

A good way of comparing the performance of our plants is to plot the operability versus the operability limit, as shown in Figure 4.8. The

average operability of the points situated on the left side of this Figure is 96.55 for an average operability limit of 0.23 which gives a very high ratio of 420. On the right side of the Figure the points represent an average operability of 88.8 and an average operability limit of 78.7 which gives a low ratio of 1.13. Fortunately this last ratio is greater than 1

which tends to show that the regulations are met on the average even for high-sulfur coal. Another way of looking at the performance is to calculate a performance index that considers SO removal efficiency, operability and 2 capacity factor. 1978) A similar index has been described by Yeager. (Yeager, Figure 4.9 shows a

This index has been calculated in Table 4.5.

classification of these plants according to this index. The results are very different from Yeager's analysis, although the same plants are considerd. However Yeager plotted the performance index vs

the start-up date which probably means that the FGD availability and capacity factor are average, calculated since the beginning whereas mine are just calculated for the year 1981. It can also be noticed that my

index is slightly different since I used the operability instead of the availability. availability. The distinction between high-sulfur coal and low-sulfur coal brings opposite results. The average performance index for plants burning highSection 4.2.1 explained the flaws linked with the use of the

-88-

Operability Low-sulfur coal (2626 MWj i plants) Average operability, 96.55% T= 28.57 Operability Limait OLs 0.23% 0a 0.15 () Operability = OL S 420

90--

High-sulfur coal (5551 MA 11 plants) Average operabilitys 88.8% '. 17., Operability Liilt OLs78.7%r = 13.0 Operability = 1.13 OL

80--

70o

60-

. 6

0

0

Operability Limit OL

80

100%

Scrubber performances Low-sulfur vs

High-sulfur coal

-89Yeager Performance Index X100 8A

I Reid Gardner 1&2

P Reid Gardner 3

X Coneaville 5
X Mansfield 1-2

65+

55+ N Milton R. Young 2
D Cholla 1

454.
X Duck Creek 1 X Southwest 1

35+

X Can* Run 5 X B1rana 1-4 3 Hawthorn 4 X Cane Run 4 SVWinyah 2 X Phillips 1-6 X TVA 8 M Hawthorn 3

DSherburne 1-2 X La Cygne 1

25H

4

1,

0

250

450

650

850

ranx

1050

1r0pn

x High-sulfur coals Average Index= 47.76 (Cu 10.77)

a Low-sulfur coal s Averge Iadex= 41.67 ('= 9.53)
Classification of the 21 Plants according to Sise and Yeager Index

Figure 4.9

-90-

sulfur coal is 48 whereas it is only 42 for plants burning low sulfur coal. This suggests a major flaw in the perfomance index. In fact the sulfur

removal efficiency as well the plant capacity factor are factors which influence the quantity of sulfur removed but not the performance of the scrubber. The perfomance of the scrubber can be better described by one of The Yeager index tries to

the four indexes described in Section 4.2.1.

unify two incompatible factors: the quantity of sulfur removed and the actual performance of the scrubber. That is why the Yeager index over-

estimates the actual performance of scrubbers from high-sulfur plants and underestimates the actual performance of scrubbers from low-sulfur plants. In order to compare cost and operability the cost index calculated in Section 3.3.4 can be plotted versus the operability as shown in Figure 4.10. Although these points are very dispersed, they can be correlated by a regression whose coefficient of correlation is -0.45 and whose equation is:

Cost Index = 74.55 - (0.5137 x operability)

The Figure simply means that the greater the operability is, the lower the cost is. This represents an introduction to Section 4.4 where the

relation between operating cost and operability is described.

4.4

Relation Between Operability and Cost

4.4.1 Definition of the Operating Cost

The operating cost represents the direct cost portion of the annual

__

-91 -

Cost Index 0.7 Correlation Equations

Cost Index a 74.5-(0o.5137 x Operability)
0.64. x Phillips 1-6 X High-sulfur Coal SLow-sulfur Coal

0.,5x Elraaa 1-4 Mansfield 1-2 X

0,44
X Son u 1 X TVA 8 X Duck Creek I 0.2-

X La C ygne I

D Reid Gardner 3

0.3-

3 Milton R. Young
X CSae 0.1D Reid Gardner 1-2

X Cane Run 5 Cholla I O D Hawthorn 3-4

0.1+

I Winyah 2

1

60

C)~JI uperaOauy

100%

Cost Index vs. Operability

Figure 4. 10

-92Table 4.4 The Operating Cost

Plant Name

Start-Up Date 10/73 7/76 1/77 10/75 7/73 12/77 11/72 8/72 12/71 9/75 8/76 12/77 4/73 9/77 9/75 5/76 3/74 4/74 6/76 3/67 3/77 12/75 7/77 7/77 4/77 5/77

Size MW 126 378 411 510 410 532 110 110 874 64 190 200 70 185 360 360 125 125 125 720 720 917 917 280 194 550

Process

Operating Cost (%) 43.6 63.6 48.5 37.8 39.7 45.8 50.1 50.1 53.9 53.8 39.9 35.5 49.8 16.6 33.9 33.9 41.0 41.0 28.3 32.2 32.2 51.0 51.0 22.3 33.9 24.0

Cholla 1 Duck Creek 1 Conesville 5 Elrama 1-4 Phillips 1-6 Petersburg 3 Hawthorn 3 Hawthorn 4 La Cygne 1 Green River 1-3 Cane Run 4 Cane Run 5 Paddy's Run 6 Milton R. Young 2 Colstrip 1 Colstrip 2 Reid Gardner 1 Reid Garnder 2 Reid Gardner 3 Sherburne 1 Sherburne 2 Bruce Mansfield 1 Bruce Mansfield 2 Winyah 2 Southwest 1 TVA 8

RLS NLS NL RL RL NLS RL RL NLS RL RL RL RL NLA NLA NLA RSC RSC NSC NLSA NLSA NL NL NLS NLS RLS

No. of Plants

Category Group New Retrofit NL NLS RL RLS

Average 41.4 42.9 37.5 44.7 41.8 41.0 27.7

Standard Deviation a

26 14 12 6 7
8 2

7.2 8.2 6.7 13.3 9.1

9.5
8.1

-93-

cost as described in Section 3.2.2.

This operating cost includes the cost

of raw materials such as lime or limestone, the cost of utilities such as water and electricity as well as the cost of operating labor, supervision, maintenance, and repairs. In Table 4.4 the operating cost has been calculated for each plant of the group as a percentage of the total annual cost. cost represents 41% of the total annual cost. The average operating

If the FGD system does not operate during the year the operating cost will be zero and so will the operability. will decrease. Therefore the total annual cost

On the other hand, the utility which burns coal without In order to avoid this a

removing sulfur might be obliged to pay a fine. clever strategy can be adopted.

A simulation of failures can be performed

and as we saw in Section 4.3 it will be difficult to detect it.

4.4.2 Average Cost Curve

In the former section we saw how the operating cost influences the operability. The operability directly affects the quantity of sulfur

removed and is thus linked with the price necessary to remove this quantity by a relation known as the average cost curve. The average cost curve drawn on Figure 4.11 represents the annual cost in mills/kWh versus the annual quantity of sufur removed in kg/kWh. However, this annual cost will be different from the annual cost calculated in Table 3.2; an average 65% capacity factor and a continuous operation of the boiler (8760 hrs) were assumed.

-94P (illsAwh)

NLS

30--

.t Line (RL) RLS

25--

New Liiestone (NIS)

204-

15+

Lime (NL)

10NLS

SnL

E

m

i
1

2

2

3 3

S

4

5 5

6 6

(
7

Aver

e Cost Curve

Figure 4.11

--

~

MIIIII

-95-

From the data given by PEDCo, (Bruck et. al., 1981)

actual capacity The results

factors and actual numbers of boiler hours were calculated. are shown in Table 4.5. zero.

For five plants, the number of boiler hours is

The demand was too low and the utility did not produce any The capacity factor varies within a range from 25% for

elctricity.

Hawthron 3 to 95% for Reid Gardner 2. The new price P is calculated as folows;

P (mills/kWh) x 0.65 x 8760 g capacity factor (%) x number of boiler hours (hrs)

The average operability index was calculated for 1981.

The same PEDCo

survey shows the average sulfur content (in percent) and the average heat content (in J/g) of the coal utilized, and the sulfur design removal efficiency (in percent) ranging from 45 to 92. These data are listed in

Table 4.5 The quantity of sulfur removed is calculated as follows:

Q(g/KWh)

F operability (%) x average sulf. cont. x sulf. eff. FGD average heat cont. (J/g) x 278 10- 9

Two observations can be made from this curve: - The limestone scrubbing processes have increasing average costs whereas the lime scrubbing processes have decreasing average costs. - The curves for new processes, both limestone and lime are situated on the right side of the Figure, whereas the curves for retrofit processes are situated on the left side. The decreasing average cost for the limestone process can be explained

-96-

Table 4.5 Quantity Removed and Readjusted Price P

Plant name

Process

Sulfur removal effic. %

Aver. Sulfur cont. %

Aver. heat cont.

oper. %

Q g/kWh

(J/g)
Cholla 1 Duck Creek 1 Conesville 5 Elrama 1-4 Phillips 1-6 Petersburg 3 Hawthorn 3 Hawthorn 4 La Cygne 1 Green River 1-3 Cane Run 4 Cane Run 5 Paddy's Run 6 Milton R. Young 2 Colstrip 1 Colstrip 2 Reid Gardner 1 Reid Garnder 2 Reid Gardner 3 Sherburne 1 Sherburne 2 Bruce Mansfield 1 Bruce Mansfield 2 Winyah 2 Southwest 1 TVA 8 RLS NLS NL RL RL NLS RL RL NLS RL RL RL RL NLA NLA NLA RSC RSC NSC NLSA NLSA NL NL NLS NLS RLS 55 85.3 89.5 83 83 85 70 70 80 80 85 85 90 78 60 60 90 90 85 50 50 92.1 92.1 45 80 70 .5 3.4 4.67 2.05 2.05 3.25 .6 .6 5.39 2.5 3.75 3.75 3.70 .6 .78 .78 .5 .5 .5 .8 .8 3 3 1.1 3.5 3.7 23609 24181 25237 26907 26907 25004 22795 22795 21864 26935 26749 26749 26284 15119 20569 20569 28959 28959 28959 19771 19771 26749 26749 26749 26749 23260 96.9 72.7 88.9 78.7 64.3 N.A. 100 100 98.1 N.A. 85.8 90.8 N.A. 78.6 N.A. N.A. 93.3 94.3 89.2 100 100 100 100 93.5 74.5 80.7 0.41 3.14 5.3 1.79 1.47 N.A. 0.66 0.66 6.97 N.A. 3.68 3.90 N.A. 0.87 N.A. N.A. 0.52 0.53 0.47 0.73 0.73 3.72 3.72 0.63 2.81 3.24

011111

-97-

Table 4.5

Plant name

Average capacity factor % 87.1 62.9 83.3 49 50.5
N.A.

Boiler hours 5,005 6,327 4,884 8,039 7,968
N.A.

p mills/ kWH 6.27 8.3 9.52 18.65 24.91
-N.A.

Performance Index Yeager 46.4 39.0 66.3 32.0 26.9
--

Low & High Sulfur LS HS HS HS HS
--

Cholla 1 Duck Creek 1 Conesville 5 Elrama 1-4 Phillips 1-6
Petersburg 3

Hawthorn 3 25.8 Hawthorn 4 45.3 La Cygne 1 45.6 Green River 1-3 N.A. Cane Run 4 39.8 Cane Run 5 45.2 Paddy's Run 6 N.A. Milton R. Young 2 83.2 Colstrip I N.A. N.A. Colatrip 2 Reid Gardner 1 96.8 Reid Garnder 2 95.3 Reid Gardner 3 88.5 Sherburne 1 71.2 Sherburne 2 72.6 Bruce Mansfield 1 N.A. Bruce Mansfield 2 65 assumed Winyah 2 69.8 Southwest 1 63.3 TVA 8 41

3,146 3,212 4,023 N.A. 5,028 5,789 N.A. 7,386 N.A. N.A. 7,180 5,764 6,911 8,349 8,432 3,984 5.600 5,481 6,020 3,953

36.47 20.35 5.07 :N.A. 17.64 12.53 N.A. 5.93 N.A. N.A. 4.75 6.01 6.89 5.17 5.02 24.85 17.68 2.68 12.25 25.65

18.1 31.7 35,8 -29.0 34.9 -51.0 --81.3 80.9 67.1 35.6 36.3 59.5 29.4 37.7 23.2

LS LS HS -HS HS -LS --LS LS LS LS LS HS LS HS HS

-98-

by economies of scale.

This economic principle, however, does not seem to

be valid for the lime process, probably because the price of lime is four times as much as the price of limestone. The second observation can be interpreted as follows. For the same

price, the quantity of sulfur removed for new processes is greater than for retrofit processes which means that the design of new scrubbers makes them more efficient than the retrofit ones. To obtain these data, different plants were looked at time, the year 1981. one point in

We assumed that these different firms were similar,

once the differences of capacity factor, operability and number of boiler hours were removed. The principal difficulty is that the firms may not be

sufficiently similar and that the data collected may more correctly represent "interutility" differences rather than reflecting a simple relationship between quantity removed and costs. (Johnson, 1960) Another method would have been to look at the quantity of sulfur removed and cost data for a particular plant in different time periods. (See Section 5) The difficulty with this method is that prices of inputs Such price changes will obviously affect costs

may change over time.

independently of how a utility's quantity of sulfur removed is changing. (Nicholson, 1978) The reason why this method was not used in this section is that many data were missing for most of the utilities. Therefore I was not able to However, these curves

derive these curves for all the plants of my survey.

have been derived for the four utilities listed in the case studies in Section 5. It will be also noticed that the capital cost is not included in this

-"0

III MIhI I0Y1

-99-

annual cost, contrary to an usual average cost curve.

4.5 Conclusion

As the FGD technology moves along the learning curve,

considerable

progress is made in resolving major problems that plague the initial FGD installations. More work needs to be done, however, to optimize system

design and reduce cost and system energy demand without impairing reliability and efficiency. The design of the mist eliminators should be improved because of the plugging of the lines due to precipitation of gypsum. The instrumentation and process control strategies must be improved as well as the construction materials used in FGD systems and related equipment. The problem of corrosion is a very important one and reduces

the life of the scrubber and its components. The study of the average cost curve shows a very big difference between the adjusted cost P0 of 5.2 mills/kWh and a real cost P of 36.5 mills/kWh, which represents about 60% of the price of a kWh! However for

sodium carbonate and dual alkali processes this difference is smaller (P is

even smaller than PO). Hence other methods of sulfur removal should be considered. collection processes should be investigated. The dry

A substantial amount of work

has already been done to verify process design using lime and sodium carbonate reagents for low to medium sulfur coal applications. The

feasibility of dry collection for medium to high sulfur coal applications

-100-

could prove beneficial.

__________________________________________*IIIIIEIlHIIIYIELYY

-101-

5. 5.1

CASE STUDIES Introduction

In Section 3 and Section 4 we looked at a group of plants and we used a statistical analysis to calculate the cost and to study the operation of the FGD systems installed in the utilities. In Section 5 we analyze the FGD systems as case studies. For each

category previously considered (New/Retrofit Limestone and New/Retrofit Lime Scrubbing) one plant is selected. The criteria of selection are a

large unit capacity (125 MW), a good operability index (70%) and a good set of data concerning the operation of the scrubber since its initial start up. Section 5.2.1, 5.3.1, 5.4.1, 5.5.1 contain descriptions and an analysis of the evolution of the operability along the years for each of the plants selected. The variations are explained and a comparison is

conducted between the FGD system and the category which it belongs to. In Sections 5.2.2, 5.3.2, 5.4.2, 5.5.2 the evolution of costs is described. Actually it would be more accurate to say that we consider the

evolution of the annual cost per kWh produced, since the capacity factor of the plant and the number of boiler hours are the variables which determine the cost. The average cost curves for each plant are drawn, using the

evolution of cost and operability previously studied. Section 5.2.3, in the case study. Finally in Section 5.6 a comparison between the FGD system and the category which it belongs to is performed. An attempt is made to explain 5.3.3, 5.4.3, 5.5.3 summarize the problems encountered

-102-

the differences observed between the average cost curves drawn for the case studies and the general average cost curves drawn in Section 4.4.2.

5.2

New Lime Scrubbing, Conesville 5

5.2.1 Evolution of the Operability

The evolution of the operability is shown in Figure 5.1.

The

operability limit is very high (80.6%) and is reached only in the fifth year of use, which means that, during the first four years of scrubber operation, the regulations standards were not met. The jump of the to 75.6 is a

operability index at the end of the third year form 34.1

characteristic of the learning curve described in Section 4.

operability

index (

100 90 80 70 60 50 40 30 20 10 77 78 79 80 81 year

Evolution of the Operability - Conesville 5 Figure 5.1

-e -----

'~

I, YA WIIN 00111110IYIY INIIIIIY IN MINl1hI

I

-103-

5.2.2 Evolution of the Cost

In 1981, a price P of 6.8 mills/kWh was calculated in Section 3 with the data given by PEDCo and the assumption of a continuous operation and a capacity factor of 65%. The actual number of boiler hours and capacity

factor have been calculated from 1977 until 1981 and are shown in Table 5.1.

Table 5.1 FGD hours, Boiler hours and Capacity Factor for Conesville 5

year

1977

1978

1979

1980

1981

FGD hours

2351

2704

1932

5392

4342

Boiler hours

6650

6600

5663

7130

4884

Operability (%)

35.4

41.0

34.1

75.6

88.9

Capacity factor (%)

NA

NA

NA

58.1

83.3

The price Pocalculated in 1981 was probably lower in 1977 because of inflation. However, in order to compare the costs and the quantity of

sulfur removed, we must keep a constant dollar basis, which will be Po. The price P will be calculated a follows:

-104-

P

=

Po x 8760 x 0.65 Boiler hours x Capacity factor

When the capacity factor is not available, the usual 65% capacity factor is assumed. The quantity Q of sulfur removed was calculated with the equation gien in Section 4. The results are shown below in Table 5.2.

Table 5.2 Annual Cost and Quantity of Sulfur Removes

year

1977

1978

1979

1980

1981

mills/kWh P

8.96

9.03

10.52

9.35

9.52

g/kWh Q

2.1

2.4

2.0

4.5

5.3

These results are drawn in Figure 5.5.

The average cost curve obtained is

very flat, which means that the price is almost constant, whatever the quantity of sulfur removed is.

5.2.3 Problems Encountered

After a fire which delayed the unit start up for one month, the early operations began in January 1977 and were marked by cold weather and

--

-

-

YIIIIYIYIIIIYIII Y IIIIIIIYIIIIYYIYIIIYYIIIYI llliil
11111-, 11-1 I, , 11W 111 W UMONON

-105-

related problems such as frozen lines. occurred in the tube thickeners. detected.

In April 1977, some plugging

Rocks up to five inches in diameter were

It was decided to install mechanical separators and metal Many modifications and repairs

detectors at the lime shipment facility.

were made to the unit instrumentation system, to the absorber liner and to the piping so that the FGD system was most often closed until the end of 1977. The operability for 1977 was 35.4%, which is well below the average

operability for the first year of operation, 57.6% calculated in Section 4. We will also notice that the first year operability for the new lime scrubbing category is 72.0%! In 1978, the operability remained about the same for the same reasons. In April 1978, the FGD system was down due to an excess of flocculant in the thickener. This excess yielded a high solids level in the overflow and Finally, in May,

resulted in plugging problems in the absorber modules.

the thickener was emptied in order to restore a proper flocculant balance. In July and August outage time was due to plugging in the mist eliminator. In 1979, the operability index was the lowest since the start up. During January and February, the scrubber did not work because of severe winter weather. In March and April, module B did not operate because of In May and June, the pH

severe corrosion at the inlet presaturator duct. lines were plugged.

During the first three years of "operation", the FGD

system experienced all the problems listed in Section 4. The problems encountered in 1980 were minor problems and therefore the operability finally increased. The instrumentation and mist eliminator

nozzle plugging caused some FGD system outage time. In 1981, the operability was above the operability limit. The FGD

-106-

system finally met the regulation standards. however corrosion was the main one.

Other problems appeared, These

Pump failure was another one.

problems can reduce the useful life of the system but they do not decrease the operability very much.

5.3

New Limestone Scrubbing - Duck Creek 1

5.3.1 Evolution of the Operability

The evolution of the operability is shown in Figure 5.2.

The

operability limit is again very high (74.2%) and is never reached during the first four years of use. We can observe again the jump of the index at This jump appears earlier

the end of the second year from 43.7 to 68.3. than usual. July of 1976.

We must remember that the start-up of the scrubber occurred in No data are given for the period between the start-up time

and 1978, which actually postpones the jump one year and a half.

operability index (%)

90
80 -Operability limit

7060

50
40 -

30
20 10

78

79

80

81

year

Evolution of the Operability - Duck Creek 1 Figure 5.2

-107-

5.3.2 Evolution of the Cost

In 1981, a price Poof 5.8 mills/kWh was calculated in Section 3, with the data given by PEDCo and the assumption of a continuous operation and a capacity factor of 65%. The actual number of boiler hours and capacity

factor have been calculated from 1978 until 1981 and are shown in Table 5.3

Table 5.3 POD hours, Boiler hours and Capacity Factor for Duck Creek 1

year.

1978

1979

1980

1981

FGD hours

959

3131

5319

4599

Boiler hours

3198

7162

7787

6327

Operability (%)

30.0

43.7

68.3

72.7

Capacity factor (0)

60.3

62.6

69.1

62.9

The price P and quantity Q of sulfur removed for each year have been calculated with the formulas used in Section 5.2. below in Table 5.4. These results are drawn in Figure 5.5. decreasing costs. The average cost curve shows The results are shown

We will notice that we have only four points and whereas

three of them are in the same area, the other one which gives this curve a

-108-

negative slope is in a remote place. considered with caution.

Therefore these results must be

Table 5.4 Annual Cost and Quantity of Sulfur Removed

year

1978

1979

1980

1981

mills/kWh P

17.13

7.37

6.14

8.30

g/kWh Q

1.30

1.90

.90

3.10

5.3.3 Problems Encountered

The major problem area during the second half of 1976 after the startup was a massive scale development on the mist eliminators. wash system was installed for the mist eliminator. A fresh water

Different modifications

(additional spray header and additional mixer) were made at the beginning of 1977. The utility fired low sulfur coals until the entire 4-module That is why we don't

scrubber plant was ready for service in August 1978.

see any record of the operability between the start-up and 1978. During the last part of 1978, the major causes for downtime were valve leaks. system. This resulted in contamination of the recycle pump gland seal water A new valve system was installed and the operating pressures were An excessive limestone

changed to prevent recurrence of the contamination.

I

I

-109-

carryover to the mist eliminator was also noted.

The top rod deck was

removed to improve gas flow and eliminate the carryover problem. In the early months of 1979, frosen line problems were experienced. Freezing problems continued to hamper GD operations during March. In the

last three quarters of the year two major problems were encountered: the mist eliminator was plugged (already a start-up problem three years ago) and storage pump leaks were reported as well as recycle pump failures. In 1980, the operability almost reached 70%, still below the operability limit. The main problems encountered are due to leaks and Among replacements were the replacement

repairs because of aging materials.

of the limestone storage tank mixer motor and of the ball mill motor. The operability reached its maximnu in 1981 at 72.7%. However the This is the

major problem of Duck Creek 1, plugging, is not yet solved. main reason why the operability did not reach 100%.

Extensive plugging was

observed at the beginning of April, resulting in the need for extensive maintenance, cleaning, repairs, and upgrading of each module. Clearly, at the end of 1981, Creek 1. the plugging problem remained at Duck a low

This problem caused outage time which resulted in

availability of the system and consequently a quicker deterioration of the main parts of the equipment (lines, pup, fana,...).

5.4

Retrofit Lim Scrubbing - Cane Run 4 e

5.4.1 Evolution of the Operability

Whereas the two former case studies, Conesville 5 and Duck Creek 1,

-110-

had operability indexes well below the average and sometimes below their operability limit, Cane Run 4 has a very high and quite bizarre evolution of the operability. We saw in Section 4 that the Retrofit lime scrubbing

systems had a learning curve well below the average, as shown in Figure 5.3. Although the operability limit (74.3%) is the same as Duck Creek 1,

only in 1979, the operability index was below its limit.

operability 100 index (%) 90 80 70 60 50 40 30

- -

-----

operability limit

76

77

78

79

80

81

year

Evolution of the Operability - Cane Run 5
Figure 5.3

5.4.2 Evolution of the Cost

The actual number of boiler hours and capacity factor have been calculated from 1978 until 1981 and are shown in Table 5.5. In 1981, a price Po of 6.2 mills/kWh was calculated in Section 3. For

-111-

each year, the new price P and the quantity Q of sulfur removed have been calculated with the formulas described in Section 5.2 and with the data displayed in Table 5.5. The results are shown below in Table 5.6.

Table 5.5 FGD hours, Boiler hours and Capacity Factor for Cane Rune 4

year

1976

1977

1978

1979

1980

1981

FGD hours

2962

4208

3813

2136

5259

4316

Boiler hours

3258

4985

4862

3010

6122

5028

Operability (%)

90.9

84.4

78.4

71.0

85.9

85.8

Capacity factor (%)

57.2

49.0

47.6

49.8

49.6

39.8

Table 5.6 Annual Cost and Quantity of Sulfur Removed

-112-

The results are drawn in Figure 5.5. inelastic.

The average cost curve is very

The price varies a lot whereas the quantity of sulfur removed This high inelasticity is due to the evolution of Actually this average cost curve

remains about the same.

the operability which is almost constant.

represents the product of the number of boiler hours times the capacity factor versus the operability, since the reference price P, remains constant as well as the scrubber design removal efficiency, the coal heat content and the coal sulfur content.

5.4.3 Problems Encountered

The problems are quite different from the problems encountered during the two previous case studies because of the high level of operability. 1976, there were some minor problems with the spray nozzles in the mobile bed contactor. The plastic expanded due to the high operating temperatures These nozzles were replaced with ceramic In

and blocked the slurry feed. constructed components.

At the beginning of 1977, the FGD system was taking off line, as usual, because of the freezing problem. The reason for Cane Run 4 is

linked to the supply of Lime which ceased because the barges could not come due to the Ohio River freeze up. No real problem was encountered later on. For instance, a new spray header was In September 1977 the FGD system

A few modifications were completed.

added to increase the liquid gas ratio.

was officially proved to have achieved compliance. In 1978, the operability index decreased from 84.4% to 78.4%, mainly

-113-

because of severe winter weather. The scrubber was off line during the month of September 1979, due to a mechanical failure with the damper gates. operability index is the lowest (71.0%). In 1980, the operability increased again due to mild winter weather, in spite of several failures which occurred during the last months of 1980. Different failures (spray pump, valves, ductwork and mist eliminators) caused some outage time. This is part of the maintenance necessary to This is the reason why the

repair a material which becomes old. No major problems were encountered during 1981. However, in August

1981 the traditional FGD problem, plugging, appeared in the absorber module and caused some outage time. This FGD system is very unusual. The learning curve does not appear The only reason why the

and thus no major problems wer encountered.

operability does not reach 100% is a problem of lime supply during the winter. How can it be solved? Papermills which receive wqod through the

rivers begin stocking a bigger pile of wood during the summer and the fall in order not to be stopped because of the river freeze up. Cane Run 4 has

problably already considered this eventuality but the investment necessary to overstock the lime might be too high. Another solution would be to buy Once again, the problem can

lime from another producer during the winter.

be solved but the real question is: Is it worth spending extra money just to decrease sulfur emissions since the EPA has officially approved the scrubber?

-114-

5.5

Retrofit Limestone Scrubbing - Cholla 1

5.5.1 Evolution of the Operability

The operability limit for Cholla 1 is index is expected.

0.

Therefore a low operability A

These expectations are different from reality.

traditional learning curve is observed with an early jump at the end of the first year from 65.1% to 84.7%. Although the data for 1981 were not

available, seven years (74-80) of data have been recorded and the 1980 operability index is 96.9%.

operability

index (%)

100-

.

operability limit - 0

90 80 -

70-

60 -

74

75

76

77

78

79

80

year

Evolution of the Operability - Cholla 1

Figure 5.4

5.5.2 Evolution of the Cost

The actual number of boiler hours and capacity factor have been calculated from 1974 until 1980 and are shown in Table 5.7.

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In 1981,

a price Po of 4.8 mills/kWh was calculated in Section 3.

For

each year, the new price P and the Quantity Q of sulfur removed have been calculated with the formulas described in Section 5.2 and with the data displayed in Table 5.7. The results are shown in Table 5.8.

Table 5.7 FGD Hours, Boiler Hours and Capacity Factor for Cholla 1

year

1974

1975

1976

1977

1978

1979

1980

FGD hours

1453

6575

2967

6178

6486

6378

4869

Boiler hours

2232

7760

3345

7284

7811

6894

5005

Operability (%)

65.1

84.7

88.7

84.8

96.0

93.5

96.9

Capacity factor %

NA

NA

NA

NA

NA

NA

87.1

Table 5.8 Annual Cost and Quantity of Sulfur Removed

year

1974

1975

1976

1977

1978

1979

1980

mills/kWh P

18.84

5.42

12.57

5.77

5.38

6.10

8.40

g/kWh Q

0.28

0.36

0.38

0.36

0.41

0.39

0.41

-116-

P (Mil.s/kh)
24
Cane Run 4 (L) 21
RLS

RL + RL NLS Duck Creek 1
(NLS)

18.-

15-

+

ars
12Cholla 1

+ $L
+ NIL
+bonesville

9+

VRLS)
SRLS

5 (NL)

N+
+ NLS
%

NLS

* RLS 9 RLS 9 RLS

+N

3+

0

~

1

2

3

4

Q(g/kWh) 5 6

Case Studies - Average Cost Curves

Figure 5.5

'~---...-'-~-~ -- -

- -

~-

_.-F-_C __~__

___ _L=__

-117-

The results are drawn in Figure 5.5. similar to the Cane Run 4 case.

The average cost curve is

Since the operability is very high and

almost constant, the quantity of sulfur removed remains constant whereas the price varies following the number of boiler hour fluctuations. quantity of sulfur removed per kWh is very small. The

This is due to the low

sulfur content of the coal used by Cholla 1 and a consequence of the zero operability limit.

5.5.3 Problems Encountered

The main problem which occurred after the commercial startup in December 1973 was a vibration problem. The difference in the size of the

main duct and reheated transition duct caused the gas flow to produce harmonic vibrations in the reheater. dampened the vibrations. The two other problems which appeared are classical FGD problems: corrosion and plugging. One of the reheater bundles was badly corroded by The The installation of baffles partially

acid that condensed in the uninsulated duct upstream of the reheaters. tube bundle was replaced,

a baffle was installed to divert condensed acid

from reheater tubes and the duct upstream of the reheater was insulated. When the system operated at low flow rates, some lines plugged, solids

settled out in standby pumps and excessive fan vibrations occurred because of an accumulation of scale buildup when the unit was idle. To solve these

problems the piping was modified to eliminate stagnant pockets, the pumps were flushed immediately after removal from service and the fan was

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sandblasted. Operation of the system throughout 1975 and 1976 was accompanied by a number of minor problem areas related to plugging and corrosion. operability was very high during these two years at about 85%. the As a

consequence of the corrosion/erosion problem, many leaks were discovered at sensitive points of the scrubber. The last 15% necessary to reach 100%

were due to intensive repairs and maintenance caused by these multiple minor problems. The weather in the winter did not seem to be a problem. In December, the

During 1977, routine maintenance was required. overhaul period began. of service.

Therefore the boiler and scrubbing system were out

Evidence of chloride attack was found in the liquid gas Extensive corrosion

centrifugal separator shell and on the reheater tubes. was also discovered in the ductwork.

Although the utility had recoated

different parts, the problem was not fully resolved. During 1978, 1979, and 1980, no major problems were reported. A very

high operability index (around 95%) means that the only outage time was due to routine maintenance. It is amazing to see how busy people can be trying to improve the operability level when they know that the operability limit is zero and that the scrubber is not necessary. Usually utilities with a zero An explanation could

operability limit have a very high operability index.

be the following: the utilities which have a zero operability limit have not much sulfur to remove from their coal. Therefore the usual plugging

and corrosion problems have not the same gravity as for a utility with a high operability limit.

_

I

III'

L_

- .:~IIIIPI~-

-119-

5.6. Conclusion

The comparison of the average cost curves obtained for each of these case studies with the curves obtained in Section 4 for the corresponding category is interesting. Striking differences can be observed and

explained by the two following considerations. As we saw in this section, each case study is not really a good representative of the category which it belongs to. Therefore the average

cost curves drawn in Figure 5.5 give only a partial view of what the real curves look like. We must also consider the fact that the curves drawn in Figure 5.5. are drawn with data given for a period ranging from 4 to 7 years, whereas the curves drawn in Figure 4.8 are drawn for the year 1981 only. Therefore

these later curves can be viewed as short run curves, while the former ones can be viewed as long run curves, which are the aggregate of different short run curves.

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6 6.1

CONCLUSIONS AND RECOMMENDATIONS Conclusions

The cost analysis shows that the limestone wet scrubbing process is the cheapest of all FGD processes. It is also cheaper to install a

scrubber on a plant which uses low-sulfur coal than on a plant which uses high-sulfur coal. The financial analysis which takes into account capital The

and annual costs reduces the gap between retrofit and new scrubbers.

overall result is that scrubbing raises utility capital requirements by 25 percent and electricity bills by at least 15 percent if we assume that the burden of the FGD technology is totally shifted onto the consumer. Our functional analysis shows that the scrubber becomes operational only three years after the start-up date, which corresponds to a move along the learning curve. However the scrubber works well when it removes almost e

no sulfur (low-sulfur coal) whereas problems of plugging and corrosion prevent a good performance of the scrubber which "tries" to remove a lot of sulfur (high-sulfur coal). Moreover the operability limit defined as the minimum operability necessary to meet the regulations is too high for high-sulfur coals, and in most cases even after five or more years the regulations are still not met. On the other hand, scrubbers controlling the emissions from plants burning low-sulfur coal have a zero operability limit, which means that the regulations are met even without scrubbers. It is a result of the New

Source Performance Standards which require every new plant to install a scrubber. problems. Ironically, these low-sulfur scrubbers do not have many This is logical since they do not remove much sulfur.

-121-

6.2

Recommendations

Therefore the legislation should be changed.

A mandate such as "All

new plants must install scrubbers" must be avoided and replaced by the "Best available Technology" introduced in the Clean Air Act of 1970. For

existing scrubbers, the operability limit should be the same, whatever the location or the type of coal used. It means that the standards should

become more stringent for low-sulfur coals (in order to increase the operability limit) and less stringent for high-sulfur coals (in order to However we know from the past that the In this particular

reduce the operability limit).

solution chosen differs from the rational solution.

problem a consensus must be found between the different stakeholders who are the environmentalists, the utilities, the Department of Energy, the coal miners and the FGD system designers. In addition to its economic, energy and environmental impacts, the United States' decision on whether and how to implement control strategies could have international implications. At a November 1980 conference on

acid precipitation in Portland, Maine, the Parliamentary Secretary of the Canadian Ministry of the Environment made his government's position clear:

"The official position of the government of Canada is that we cannot wait for a perfect understanding of the acid precipitation phenomenon before moving to control it."

However the legislator cannot be blamed for the poor performance of the scrubber. Research and Development must be pursued in order to optimize Improvement of

system design and reduce cost and system energy demand.

-122-

mist elimination and instrumentation as well as optimization of construction materials will reduce the plugging and corrosion problems. Investigation of other processes like dry collection should be conducted. A substantial amount of work has already been made to verify

process design using lime and sodium carbonate reagents for low to medium sulfur coal applications. The feasibility of dry collection for medium to

high sulfur coal applications could prove beneficial and shoud be investigated. Also R&D on "in-combustion" sulfur removal, (e.g. lime

injected multistage burner (LIMB) should be further increased. Finally a constant enforcement pressure might improve the operability! Today, inspection visits are few and far between. The regulators rely on

the polluters themselves to supply data on their scrubbing efficiency and thus regulators are unable to distinguish reliable from unreliable information. Unqualified utility employees are sent to the scrubbing

operation. We know that scrubbers constantly demand creative tending when they become clogged or corroded. Therefore a conscientious and highly Why, for instance, is there

competent staff is an absolute requirement.

such a difference between the Japanese and American operability of scrubbers? People believe that the successful use of scrubbers in Japan is The Japanese

due to the strength of the Japanese enforcement program.

operate control research centers that are usually linked directly, via telemetry, to stations monitoring emissions from a major source. It is therefore important for the EPA to create an administrative infrastructure equal to the challenge of enforcement.

---;x------.~

__

;;

--~_.~ ?r - ~im

.;-r+-----

I

_---

-123-

APPENDIX Definition of the Average and of the Standard Deviation

This appendix will briefly review some of the statistical methods which have been used in this thesis. Two main quantities, the average and the standard deviation have been calculated for different sets of data including capital and annual costs as well as viability indexes.

Average The average is a weighted average which takes into account the capacity of the plant expressed in Megawatts (MW). For instance, the

average operability 0 of a group of N plants, each of size si and of operability Oi, can be expressed as follows:

0

N E

Oisi 0N E si i=1 N E Oi si i-i N E si i-1 This weighted average has been used as often as possible.

As a matter

of fact, the different annual viability indexes for instance, given in Table 4.1 and 4.2 are weighted averages of monthly viability indexes provided by PEDCo. Environmental.

Standard Deviation The standard deviation which measures the variability or dispersion of the data has also been calculated as a "weighted standard deviation." The

-124-

standard deviation called a and calculated for the above example can be expressed as follows:

N 2 i=1

Oi si N z si i=1

0 N

2

ox or a N X i= 1 I NN x

N

N

2

E

(Oi si -

E

2

a

X N i=1 x z i=1 (z

Oisi)

j=1

It will be noticed that the standard deviation has been calculated with the population parameter taken to be N, the sample taken being a population.

Warning A 95% confidence interval is an interval around the average such that we are 95% sure that the interval contains the true average. If a

represents the standard deviation of a normally distributed set of data, then such an interval has the following limits:

average - 1.96 a and average + 1.96 a.

This confidence interval however cannot be constructed if we don't

-125-

have a normal distribution. Another analysis should be done to construct such intervals in case for instance of exponential or t-distributions. The standard deviation can always be calculated and measure the variability or the dispersion of the data (it is called risk in finance). However only in the case of a normal distribution can it be interpreted as the boundary of a confidence interval.

-126-

REFERENCES

r

Ackerman, B.A., and W.T. Hassler, 1981,

Clean Coal/Dirty Air, Yale

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