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This chapter is designed to assist the practicing engineer with cost engineering techniques for estimating capital cost of equipment and for determining the annu-alized cost of operating

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Cost Estimating

Cost is a basic and crucial decision-making factor in the selection of air-pollution control equipment Evaluating costs can be straightforward, as long as there is an understanding as to the objective of the analysis and an appreciation of the time value of money The classic cost trade-off is between capital and operating costs This chapter is designed to assist the practicing engineer with cost engineering techniques for estimating capital cost of equipment and for determining the annu-alized cost of operating air-pollution control systems, such as required for the cost analysis portion of a BACT analysis It is not intended to cover detailed cost accounting methods that include different types of depreciation and taxes

7.1 TIME VALUE OF MONEY

Because of interest and inflation, a dollar in U.S currency today will be worth more than a dollar in the future Right off the bat we must distinguish between the “real” interest rate, which does not include inflation, and the “nominal” interest rate, which includes inflation The “real” or “constant” dollar cost analysis considers the return

on investment as profit This type of analysis frequently is used by engineers because

it is straightforward, easy to use, and easy to understand Annual operating and labor costs of $100,000 this year will remain at $100,000 per year in 10 years To be clear, the analysis is stated to be in “year 2000 dollars.”

Conversely, inflation reduces the value or buying power of the currency with time $100,000 worth of materials and labor this year will require more money in

10 years The real and nominal interest rates are related by:

(7.1) where

in = nominal interest rate

i = real interest rate

r = annual inflation rate Financial decisions that include the effect of income taxes use the nominal interest rate because both depreciation deductions and taxes are figured on the basis

of nominal dollars

7.1.1 A NNUALIZED C APITAL C OST

The key to annualizing capital cost in real, pre-tax dollars is to calculate the capital recovery factor (CRF)

7

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where CFR = capital recovery factor

i = real pretax marginal rate of return on private investment

n = economic life of the equipment for the analysis The product of the capital recovery factor and the capital cost, or investment (P),

is the annualized capital recovery cost (CRC)

(7.3)

7.1.2 E SCALATION F ACTORS

Several cost indexes are available that reflect current costs to a baseline cost Exam-ples include the Marshall & Swift Equipment Cost Index and the Chemical Engi-neering Plant Cost Index Specific to the air-pollution control industry is the Vatavuk Air Pollution Control Cost Index.1 An index is used to convert a known cost at one point in time to an escalated cost at another point in time The conversion is simply the ratio of the index values for the two points in time

Indexes are useful for the time periods covered by the index The Vatavuk Air Pollution Control Cost Index begins in the first quarter of 1994 with a baseline value

of 100 Cost data obtained prior to 1994 cannot be escalated using the Vatavuk index, but the Marshall & Swift Equipment Cost Index can be used from a baseline date

of 1926

Vatavuk Air Pollution Control Cost Indexes are provided for specific air-pollu-tion control devices, including carbon adsorbers, catalytic incinerators, electrostatic precipitators, fabric filters, flares, gas absorbers, mechanical collectors, refrigeration systems, regenerative thermal oxidizers, and wet scrubbers Updated values of the indexes are published in each biweekly issue of Chemical Engineering Annual values for these indexes are provided in Table 7.1

7.2 TYPES OF COST ESTIMATES

The accuracy of the project cost estimate and the effort required to calculate it must

be appropriate for the decision being made The American Association of Cost Engineers lists2 three types of estimates:

• Order of magnitude

• Budget

• Definitive The “order-of-magnitude” cost estimate uses rules-of-thumb based on prior expe-rience The only data requirement is the system capacity Frequently an exponential

i

n n

+

1

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factor of 0.6 is used to factor the capacity of large facilities.3 The accuracy of order-of-magnitude is supposed to be +50% to –30% rather than a factor of 10 as the name implies However, there is little control of accuracy, and this approach may amount to a best-guess with a very high level of inaccuracy

Budget estimates typically have an accuracy of +30% to –15% These estimates require knowledge of the site, flow sheet, equipment, and buildings Also, rough specifications for items such as insulation and instrumentation are needed

Definitive cost estimates, accurate to within ±20%, require complete plot plans, piping and instrument diagrams, specifications, and site surveys, as well as vendor bids for major equipment

Perry’s Chemical Engineers’ Handbook describes five levels of detail and accu-racy for cost estimates:4

• Order-of-magnitude

• Study (factored) with an accuracy of ±30%

• Preliminary (budget authorization) with an accuracy of ±20%

• Definitive (project control) with an accuracy of ±10%

• Detailed (firm or contractors) with an accuracy of ±5%

Note that these definitions for level of accuracy are not consistent between the two sources, which can easily lead to confusion when one simply refers to a descriptor such as a “budget” or “definitive” estimate Even describing an estimate by its desired accuracy can be misleading To achieve a desired level of accuracy, it is best to define the resources and approach that are to be used to develop the cost estimate Air-pollution control equipment cost estimating at the “study” level with ±30% accuracy has received a great deal of attention because of the requirement to deter-mine the “cost effectiveness” for best available control technology (BACT) analyses

To make a good study estimate, the following resources4,5 should be used:

TABLE 7.1

a Preliminary.

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• Location of the source within the plant

• Preliminary process flow sheet

• Preliminary sizing and material specifications for major equipment

• Approximate sizes and types of construction of any buildings required to house the control system

• Rough estimates of utility requirements (e.g., steam, water, electricity, etc.)

7.3 AIR POLLUTION CONTROL EQUIPMENT COST

To assist permit applicants and reviewing agencies, and to bring some semblance

of consistency to the permit applications, the EPA has published guidelines5 for estimating the cost of various equipment including thermal and catalytic incinerators, carbon adsorbers, fabric filters, electrostatic precipitators, flares, refrigerated con-densers, gas absorbers, and hoods, ductwork, and stacks The manual provides a good overview of cost estimating methodology, descriptions of the control equipment and fundamentals of operation, cost correlations based on size and materials, and factors for operating costs

7.3.2 O THER C OST -E STIMATING R ESOURCES

The OAQPS Control Cost Manual does not discuss all air-pollution control devices, nor does it cover large, complex air-pollution control systems such as flue gas desulfurization systems Traditional engineering cost estimating approaches may be applied in these cases The design engineer produces a bill of materials including individual equipment items (vessels, pumps, blowers, exchangers, etc.) Using the equipment size and weight and material of construction, a cost-estimate can be produced Common sources of equipment cost estimates include Perry’s Chemical Engineers’ Handbook4 and Richardson’s Process Plant Construction Estimating Standards.6 Additional material has been published by Vatavuk,7 who is also the primary author and editor of the OAQPS Control Cost Manual A large amount of detailed cost information on utility flue gas desulfurization systems has been spon-sored and published by the Electric Power Research Institute.8,9

REFERENCES

Environ-mental Protection Agency, EPA-452/R-95-006, Research Triangle Park, NC, 1995.

1981, 108.

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453/B-96-001, Research Triangle Park, NC, 1996.

Inc., San Marcos, CA, 2001.

MI, 1990.

Electric Power Research Institute, Palo Alto, CA, 1991.

9 Keeth, R J., Ireland, P A., and Radcliffe, P T., Economic evaluations of 28 FGD

Dec 3–6, 1991.

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