13
IndianJournalof Engineering & MaterialsSciences Vol. 5, August 1998, pp. 223-235 Cost estimation models for drinking water treatment unit processes Virendra Sethi' & RobertM Clark b ·OakRidgeInstituteforScienceandEducation,bWaterSupplyandWaterResourcesDivision NationalRiskManagementResearchLaboratory,MS 689, UnitedStatesEnvironmental ProtectionAgency, 26, WestMartinLutherKingDrive,Cincinnati,OH 45268, USA Received12 August 1997 Cost models for unit processes typically utilized in a conventional water treatment plant and in package treatment plant technology are compiled in this paper. The cost curves are represented as a function of specified design parameters and are categorized into four major categories : construction, maintenance materials, energy and labour. The cost curves are developed so that cost indices may be used to update cost estimates from the base year. These models can be used to assist in making decisions related to construction of new water treatment facilities or modification of existing water treatment processes to meet drinking water standards or provide improved water quality. They can also be used as a part of sophisticated economic evaluation such as the calculation of cost to benefit ratios. Cost estimation plays an integral role in planning, implementation and administration of any water treatment project. Over the last 20 years, U.S. Environmental Protection Agency (USEPA) has developed a substantial amount of cost data and related cost curves which can be used to estimate the cost of various unit processes. These unit processes can in turn be aggregated into water treatment systems. These cost curves have been used extensively for determining the economic impact of proposed federal drinking water regulations. The initial cost curves were presented in earlier works 1.2. Various efforts 3 4 have been made to upgrade and modify these cost curves. This paper reports on a selected subset of a new and comprehensive effort to update and modify these cost curves. The objective of the present work is to present some of the cost models developed from the studies referred to earlier. The choice of the processes and facilities was based on the requirements of a typical conventional water treatment plant, and a complete package treatment plant. A complete list of unit processes for which cost curves have been developed are listed 5' elsewhere. Approach The data modelled 10 the present work was developed for maximum flexibility and use). Treatment systems were divided into two main classes. - large systems (1 to 200 mgd) and small systems (2500 gpd to 1 mgd). This separation was made because many processes applicable to one range are not applicable to the other, and even when a process is applicable, the conceptual design of the components varies significantly. Costs were estimated under two main categories - construction costs and operation and maintenance costs. Construction costs were presented in terms of eight components : excavation and site work, manufactured equipment, concrete, steel, labour, pipes and valves, electrical equipment and instrumentation, and housing. Each component cost can be updated using an appropriate cost index to reflect variations in escalation, or a composite index such as the Engineering News Record Construction Cost Index can be used instead. The cost curves developed in the present work are based on the use of the composite construction cost index. In addition to the construction costs, the following special costs need to be added to obtain the total capital cost: general contractors overhead and profit, engineering costs, land costs, legal fiscal and administrative costs, and interest during construction. Since these costs vary significantly

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Page 1: Cost estimation models for drinking water treatment …nopr.niscair.res.in/bitstream/123456789/29636/1/IJEMS 5(4...IndianJournalofEngineering&MaterialsSciences Vol.5, August1998, pp.223-235

IndianJournalof Engineering& MaterialsSciencesVol.5, August1998, pp. 223-235

Cost estimation models for drinking water treatment unit processes

Virendra Sethi'& RobertM Clarkb•

·OakRidgeInstitutefor ScienceandEducation,bWaterSupplyand WaterResourcesDivision

NationalRiskManagementResearchLaboratory,MS689, UnitedStatesEnvironmentalProtectionAgency,26, WestMartinLutherKingDrive,Cincinnati,OH45268, USA

Received12 August1997

Cost models for unit processes typicallyutilized in a conventionalwater treatment plant and in packagetreatment plant technology are compiled in this paper. The cost curves are represented as a function ofspecified design parameters and are categorized into four major categories : construction, maintenancematerials, energy and labour. The cost curves are developed so that cost indices may be used to update costestimates from the base year. These models can be used to assist in making decisions related to constructionof new water treatment facilities or modification of existing water treatment processes to meet drinkingwater standards or provide improved water quality. They can also be used as a part of sophisticatedeconomic evaluation such as the calculation of cost to benefit ratios.

Cost estimation plays an integral role in planning,implementation and administration of any watertreatment project. Over the last 20 years, U.S.Environmental Protection Agency (USEPA) hasdeveloped a substantial amount of cost data andrelated cost curves which can be used to estimatethe cost of various unit processes. These unitprocesses can in turn be aggregated into watertreatment systems. These cost curves have beenused extensively for determining the economicimpact of proposed federal drinking waterregulations. The initial cost curves were presentedin earlier works 1.2. Various efforts3•4 have beenmade to upgrade and modify these cost curves.This paper reports on a selected subset of a newand comprehensive effort to update and modifythese cost curves.

The objective of the present work is to presentsome of the cost models developed from thestudies referred to earlier. The choice of theprocesses and facilities was based on therequirements of a typical conventional watertreatment plant, and a complete package treatmentplant. A complete list of unit processes for whichcost curves have been developed are listed

5'elsewhere.

ApproachThe data modelled 10 the present work was

developed for maximum flexibility and use).Treatment systems were divided into two mainclasses. - large systems (1 to 200 mgd) and smallsystems (2500 gpd to 1 mgd). This separation wasmade because many processes applicable to onerange are not applicable to the other, and evenwhen a process is applicable, the conceptual designof the components varies significantly.

Costs were estimated under two main categories- construction costs and operation and maintenancecosts. Construction costs were presented in termsof eight components : excavation and site work,manufactured equipment, concrete, steel, labour,pipes and valves, electrical equipment andinstrumentation, and housing. Each componentcost can be updated using an appropriate costindex to reflect variations in escalation, or acomposite index such as the Engineering NewsRecord Construction Cost Index can be usedinstead. The cost curves developed in the presentwork are based on the use of the compositeconstruction cost index.

In addition to the construction costs, thefollowing special costs need to be added to obtainthe total capital cost: general contractors overheadand profit, engineering costs, land costs, legalfiscal and administrative costs, and interest duringconstruction. Since these costs vary significantly

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224 INDIAN J. ENG. MATER. SCI., AUGUST 1998

from region to region, they were not included inthe current cost curves but can be added at theappropriate point in the calculations.

The operations and maintenance (O&M) costswere developed based on five main components :energy requirements (process related energy andbuilding related energy), natural gas, diesel fuel,maintenance materials and labour. Energyrequirements were separated for process andbuildings to account for the large geographicvariations in the building energy requirements.Local variations in energy and labour rates can beincorporated conveniently since the costs areobtained from the cost curves in terms of energyunits and labour hours. The maintenance materialsrequirements which are for all repair andmaintenance items, were calculated based onnational U.S. averages. Chemical costs are notincluded in these material costs due to largeregional variations in chemical costs. However,these costs need to be included in any final costcalculations.

Cost IndicesCost indices are widely used to adjust costs that

occur due to differences in geographic locationsand variations from year to year. It provides asingle numerical value to indicate trends with timeand the relative value of the index factors fromplace to place. All costs in this paper are reportedin U.S. dollars and all cost curves are based on theyear that the cost analysis was performed. The baseyear cost indices are listed in Table 1, and can beused to update the costs obtained from the curveusing the following expression:

Current Year Cost = Base Year CostCurrent Year Index

Base Year Index... (1)x

The most widely used indices in the construction

Table I-Construction cost indices and producer price indicesfor the costing analysis in the source documents

Base Year Construction Cost Producer PriceIndex (CCI) Index (PPI)

1979 265.4 99.71983 383.1 287.11990 445.0 345.01997 549.0 361.0

industry are the Engineering News Recordconstruction cost index (CCI) and the building costindex (BCI) which are published by EngineeringNews Record. Maintenance material costs can beupdated using Producers Price Index for FinishedGoods (PPI), and may be obtained from theMonthly Labor Review published by theDepartment of Labor.

Individual Unit Process CostingIn order to develop the unit process cost curves

a standardized flow pattern was assumed for thetreatment train and then each unit process was"costed out". This approach requires assumptionsabout such details as common wall constructionand amounts of interface piping required. After theflow pattern was established, the costs associatedwith specific unit processes were calculated. "Asbuilt" design and standard cost referencedocuments were used to calculate the costs ofequipment associated with a unit process. Adescription of cost curves for inorganic coagulant(alum) feed and rectangular clarifiers is presentedhere to illustrate the level of detail incorporated inthe costing analysis.

Inorganic coagulant feedDry alum is used as a coagulant in both small

and large treatment plants, although if the dry alumusage is greater than 300 Ib/day, liquid alumshould be used to minimize handling costs. Liquidalum is a clear amber liquid that contains 5.4pounds of commercial dry alum per gallon ofliquid. A typical liquid alum feed system includesIS or 30-day storage, two transfer pumps, a daytank and two metering pumps. One of each type ofpump is used as a standby pump. Fig. I shows atypical liquid alum feed system. Alum feed ratesrange from 40 to 85,000 pounds per day on drybasis. All systems, excluding the largest, provide30-day storage ranging from 240 to 300,000gallons. The largest system provides a 255,000gallon, IS-day storage capacity. All but thesmallest, system include day tanks that are filledusing transfer pumps, and have volumes rangingfrom 50 to 17,000 gallons. Costs are based onvertical, flat bottom, site constructed tanks, havingmaximum capacities of 60,000 gallons. Contain-ment walls are designed to hold the contents of thelargest tank. Wetted parts of the pump are plastic.

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SETHI & CLARK: COST ESTIMATION MODELS FOR WATER TREATMENT PROCESSES 225

30-DayStorage Tan

Transfer Pump

ContainmentWalls

Metering Pump

Fig. I-Typical liquid alum feed system

1000000 ,------------------,

!!!Ulooco 100000.~

;:>iiicoo

• •

I

r I10000 L--,---,-,-,-,-u.L_'L......I..'..L' J...J''J.l"-"-"_L' -'-'-'-'-'-''LL"Lll"_-'----J.'--"-'-,.u.",ll"l

10 100 1000 10000 100000

Feed Rate. Ib/day alum

Fig. 2----{:onstruction costs for liquid .alum feed systems indollars versus feed rate in Ib/day alum

Piping and fittings are PVC, and valves are eitherPVC or PVDF plastic construction. Pipe sizes andlengths of piping vary from 3/4 to 6 in. and 200 to400 ft, respectively. The piping system assumes 8fittings per 100 ft of pipe. Construction costs areplotted in Fig. 2. Fig. 3 shows the operation andmaintenance costs. Labour requirements for

1~O'------------------'

~e::>o:I:o 1~,

.J:l.,-J

wCL

Process Energy (kWH/Vr)

Maintenance Malerial (S/Yr)

Feed Rate, Ib/day alum

Fig. J--Operation and maintenance costs for liquid alum feedsystems versus feed rate in Ib/day alum. Cost of processenergy, maintenance materials and labour on common y-axis inunits of kWH/year, $/year, and hours/year respectively

operation include the ordering and receiving ofalum, the maintenance and repair of pumps, therepair of feed lines and tanks, as well as thecleanup of any liquid spills. The system's electricalrequirements are for one metering pump and onetransfer pump. The metering pump is assumed to

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226 INDIAN J. ENG. MATER. SCI., AUGUST 1998

run continuously. 24 h a day. and the transfer pumpruns IS ruin a day. Material costs include meteringand transfer pump replacement and any materialneeded to repair piping. tanks and valves.Additional material costs include protectiveclothing. gloves and goggles.

Rectangular clarifiersRectangular clarifiers may be used following

treatment by coagulation and flocculation or limesoftening. Cost estimates were made for clarifiersthat have 12-ft sidewall depth and that use chainand fl ight sludge collectors.

Construction cost includes the chain and flightcollector drive mechanism. weirs. the reinforcedconcrete structure complete with inlet and outlettroughs. a sludge sump. and sludge withdrawalpiping. Costs for the structure were developedassuming multiple units with common wallconstruction. Yard piping to and from the clarifieris not included in cost estimates. Construction costestimates are shown in Fig. 4.

Process energy requirements were calculatedbased on manufacturers' estimates of motor sizeand torque requirements. Maintenance materialcosts are for parts required for periodicmaintenance of the drive mechanism and weirs.Labour requirements are for periodic checking of

1000000

<II

<II

oU

.~ 100000"0::I-.;c:oU

1000

Area, ft>

10000

Fig. 4-Construction costs in dollars versus square feet ofsurface area for rectangular clarifiers

the clarifier drive mechanism, as well as periodicmaintenance of the mechanism and weirs.Operation and maintenance costs are shown inFig. S.

ModellingIn previous work, cost models have been

developed to facilitate the application of the datadeveloped by Gumerman et a/. 1.2 These models aredescribed extensively by Clark", Clark and Dorsey'and Adams and Clark". The purpose of this paperis to modify this earlier effort and aggregate all ofthe cost data collected by the USEPA's WaterSupply and Water Resources Division and make itaccessible in a standard and usable form. Thefollowing form of equation was adopted to fit allcost curves:

y = a + b XC ••• (2)where y is the costing unit ($-for constructioncosts, $/year for maintenance materials,kWH/year-for energy requirements, and hours/year- for labour); x is the design flow rate or designparameter for the specific unit process; a, band care parameters estimated using a curve fittingalgorithm. For some cases, where the designparameter (x) spanned two to three orders of

10000

Proce •• Energy (kWH/Vr)

>••••:;0J:(5.0CIS

...J

> 1000~~~

Maintenance M••• ,i.I, (S/YI)

~J:;:6 •wa.

Labor (Hours/Yr)

100100 1000 10000

Area, ft>

Fig. S-Operation and maintenance costs for rectangularclarifiers versus square feet of surface area. Cost of processenergy, maintenance materials and labor on common y-axis inunits of kWH/year, $/year, and hours/year respectively

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Page 6: Cost estimation models for drinking water treatment …nopr.niscair.res.in/bitstream/123456789/29636/1/IJEMS 5(4...IndianJournalofEngineering&MaterialsSciences Vol.5, August1998, pp.223-235

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06.7

472

1.01

170.

9885

119

900 :;

Mal

colm

-Pim

ie',

p.97

Con

stru

ctio

n-du

alm

edia

CC

(10

-320

)To

tal

filte

rAre

a,ttl

940.

3323

1436

.414

40.

9857

0.99

694

1990

ZC

onst

ruct

ion-

mix

edm

edia

CC

(10

-320

)To

tal

filt.r

Are

a,ft'

1244

.910

615

42.8

580.

997

0.99

906

1990

'"' tr1 Z P10

Filte

rm

edia

:Rem

oval

and

Rep

lace

men

tC

onst

ruct

ion-

rapi

dsa

ndC

C(3

50-7

0000

)To

tal

filte

rA

rea,

ttl12

474.

09-1

713

594.

325

0.92

70.

9982

419

903:

Mal

colm

-Pirn

ie',

p.27

1C

onst

ruct

ion-

duel

med

iaC

C(

140

-280

00)

Tota

lfil

ter

Are

a,ttl

8852

.679

196

47.4

845

0.92

710.

9982

419

90> -l

Con

stru

ctio

n-m

ixed

med

iaC

C(

140

-280

00)

Tota

lfil

terA

rea,

ft'10

059.

7246

1096

3.19

30.

927

0.99

824

1990

tr1 ?'To

tal

filte

rA

rea,

0>V

l11

Hyd

raul

icsu

rfac

ew

ash

syst

ems

Con

stru

ctio

nC

C(

140

-280

00)

4035

7.80

6111

1.52

410.

892

0.96

037

1990

PG

urne

rman

eta/

. 'p.

162

Proc

ess

Ener

gyPE

(14

0-2

8000

)To

tal

filte

rAre

a,ft'

317.

0678

14.3

656

0.99

750.

9950

319

90>

Mai

nten

ance

Mat

eria

lsM

M(

140

-280

00)

Tota

lfil

ter

Are

a,ft'

242.

1719

14.7

974

0.39

410.

9916

119

90c:

Labo

urO

L(

140

-280

00)

Tota

lfil

terA

rea,

ft'-2

0.71

428

9.36

3433

0.42

004

0.97

079

1990

C') c: Vl

-l12

Was

h-w

ater

surg

eba

sins

Con

stru

ctio

nC

C(

1337

-668

45)

Bjls

inC

apac

ity,

ft'

1653

9.31

1715

.784

50.

8571

0.99

498

1990

\0M

alco

lrn-P

irnie

',p.

100

\0 00

13U

nder

grou

ndcl

ear

wel

lsto

rage

tank

Con

stru

ctio

nC

C(

10-7

500)

Cap

acity

,ke

al25

683.

255

2083

.518

70.

8398

0.97

659

1990

Mal

colm

-Pim

ie',

p.15

8Pr

oces

sEn

.fEY

PE(

10-7

500

)<F

apac

ity,k

llal

328.

2952

8896

.598

20.

8658

0.97

074

1990

Labo

urO

Le10

-750

0)C

apac

ity,

keal

1755

00

1I

1990

14G

ravi

tysl

udge

thic

kene

rsC

onst

ruct

ion

CC

(314

-17

671)

Surf

ace

Are

a,ttl

2424

7.89

2140

56.9

502

0.48

260.

9987

519

90G

umer

man

etal

.I,p.

359

Ener

gy(a

lum

-fen

1csl

udge

)PE

(314

-17

671)

Surf

ace

Are

a,ttl

2718

.005

62.

7477

0.92

420.

9885

819

90M

aint

enan

ceM

ater

ials

MM

(314

-17

671)

Surf

ace

Are

a,ttl

93.9

027

1.26

650.

8292

0.97

965

1990

Labo

urO

Le31

4-

1767

1)Su

rfac

eA

rea,

ttl93

.682

1.36

730.

5446

0.99

8219

90

ISD

ewat

ered

slud

geha

ulin

gfa

cilit

ies

Con

stru

ctio

nC

C(

150

-270

K)

Slud

geFl

ow,g

pd11

9274

.713

22.

7829

1.10

640.

9650

119

90

Page 7: Cost estimation models for drinking water treatment …nopr.niscair.res.in/bitstream/123456789/29636/1/IJEMS 5(4...IndianJournalofEngineering&MaterialsSciences Vol.5, August1998, pp.223-235

Mal

coJm

.Pirn

ie',

p.43

9Fu

elFU

(IS

O-

270K

)Sl

udge

Flow

,gp<

!-0

.017

60.

0247

0.84

360.

9753

119

90Pr

oces

sEn

ergy

PE(5

6200

-270

K)

Slud

geFl

ow,g

p<!

4355

00

II

1990

Proc

ess

Ener

gyPE

(15

0-5

6200

)Sl

udge

Flow

,gpd

1089

00

II

1990

lAbo

ur01

..(15

0-2

70K

)Sl

udge

Flow

,gp<

!0

2.11

900.

7754

0.99

2619

90

16B

aske

tce

ntrif

uges

Con

stru

ctio

nC

C(3

600

-720

000

)M

achi

neC

apac

ity,

gp<!

3074

37.7

170.

0356

1.34

960.

9689

619

90en CT

lG

umer

mau

etal

.,'p

.400

Bui

ldin

gEn

ergy

BE

(360

0-7

2000

0)

Mac

hine

Cap

acity

,gp

d79

730.

4403

0.08

111.

2826

0.97

2319

90-;

Proc

ess

Ener

gyPE

(360

0-7

2000

0)

Mac

hine

Cap

acity

,gp

d62

334.

2056

0.08

071.

2796

0.97

498

1990

::r:

Mai

nten

ance

Mat

eria

lsM

M(3

600

-710

000)

Mac

hine

Cap

acity

,gp

d30

61.0

424

0.00

121.

2952

0.99

131

1990

RolA

bour

OL

(36

00-7

:000

0)

Mac

hine

Cap

acity

,gP

450

1.18

170.

0004

1.21

940.

9826

119

90o r :>

17ln

plan

tpu

mpi

n!:

Con

stru

ctio

nC

C(

1-

200)

Pum

ping

Cap

acity

.m

gd37

530.

0645

9317

.550

30.

9714

0.99

431

1990

~G

umcr

man

etal

.',p.

23S

Proc

ess

Ener

gy(T

DH

~35'

)PE

(1

-200

)Pu

mpi

ngC

apac

ity,

mgd

5.48

5252

464.

53I

I19

90o

Proc

ess

Ener

gy(T

DH

=75'

)PE

(1

-200

)Pu

mpi

ngC

apac

ity,

mgd

5.48

5211

2424

.5I

I19

900 en

Mai

nten

ance

Mat

eria

lsM

M(1

-20

0)Pu

mpi

ngC

apac

ity,

mgd

364.

324

237.

6805

1.00

340.

9916

219

90-;

lAbo

urO

L(

1-2

00)

Pum

ping

Cap

acity

,m

gd49

1.55

1728

.654

20.

9456

0.99

566

1990

CTl en -;

18R

aww

ater

pum

ping

faci

litie

sC

onst

ruct

ion

CC

(69

5-7

0000

)Fl

o••·.

gpm

1235

87.8

047

71.4

926

0.83

060.

9998

819

90§:

Mal

cotm

-Pim

ie',

p.41

2O

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695

-700

00)

Flo•

•·.l:p

m17

9.67

080.

9475

319

90:>

lAbo

ur0.

0002

1.42

8-;

Proc

ess

Ener

gyPE

(69

5-7

0000

)Fl

ow.g

prn

2562

9.61

2218

4.79

341.

0011

I19

900 Z

19Fi

nish

edw

ater

pwnp

ing

faci

litie

sC

onst

ruct

ion

CC

(69

5-7

0000

)Fl

ow,g

pm38

529.

4539

273.

9697

0.73

460.

9962

419

90s::: 0

Mal

colm

-Pim

ie',

p.41

6lA

bour

OL

(69

5-7

0000

)Fl

ow,g

pm16

7.06

170.

0299

0.95

520.

9967

119

900 CT

lPr

oces

sEn

ergy

PE(

695

-700

00)

Flow

,gpm

1556

93.6

822·

351.

3382

1.05

530.

9988

919

90r en

:,~'Tl 0 ;:tl

20B

ackw

ash

pum

ping

Con

stru

ctio

nC

C(1

40-3

150)

Flow

.gpm

-310

3329

.105

8I

I19

79~ :>

Gum

erm

anera.',

p.15

6C

onst

ruct

ion

CC

(315

0-2

2950

)Fl

ow.g

pm0

399.

339

0.62

1422

0.99

605

19;9

-; CTl

Proc

ess

Ener

gyPE

(140

-280

00)

Filte

rAre

a,fl'

-0.65

S723

.816

11.

0004

119

79;:tl

Mai

nten

ance

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eria

lsM

M(1

40-2

8000

)Fi

lterA

rea,

ft'0

93.0

759

0.40

020.

9886

819

79-; ;:tl

lAbo

ur01

..(14

0-28

000)

Filte

rAre

a,fl'

098

.132

30.

128

0.96

887

1979

CTl :>

21flo

ccul

atio

n(3

Sm

in,G

-60

0)-;

Gum

erm

anet

al."

p.lll

Con

stru

ctio

nC

C(1

800-

1000

0)B

asin

Vol

ume.

fl)17

5543

9.68

65I

I19

79s::: CT

lC

onst

ruct

ion

CC

(looo

O-S

OOOO

O)B

asin

Vol

ume,

fl)90

623.

44.

4043

840.

9372

420.

9819

79Z -;

Con

stru

ctio

nC

C(S

oooO

O-I

M)

Bas

inV

olum

e.fl)

365S

02.

0412

II

1979

"'C

Bas

inV

olum

e,fl'

;:tlPr

oces

sEn

ergy

PE(1

800-

IM)

44.5

9330

61.

1699

861.

0011

19I

1979

~M

aint

enan

ceM

ater

ials

MM

(180

0-IM

)B

asin

Vol

ume,

fl'24

0.92

0752

0.52

1479

0.77

3391

(198

1979

CTl

lAbo

ur01

..(18

00-I

M)

Bas

inV

olum

e,fl'

-0.4

0082

8.68

0847

0.32

7235

0.99

619

79en en

Rm

aneu

Jar

Cla

rifie

r(1

000

epdl

ft1CT

l22

enG

umer

man

.1al

.'p.

128

Con

stru

ctio

nC

C(2

40-4

800)

Are

a,ft'

2457

1.01

828

93.4

1261

20.

9278

41I

1979

Proc

ess

Ener

gyPE

(240

-480

0)A

rea,

ft'32

76.1

8935

20.

0191

1.48

1241

0.98

419

79M

aint

enan

ceM

ater

ials

MM

(240

-48(

0)A

rea,

ft'30

2.45

1241

0.00

2222

1.525

S59

0.99

319

79!.a

hour

01.(

240

-4R

()(I)

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a.ft'

141.

2618

0.19

7285

0.88

9147

0.99

819

79N N '-0

Page 8: Cost estimation models for drinking water treatment …nopr.niscair.res.in/bitstream/123456789/29636/1/IJEMS 5(4...IndianJournalofEngineering&MaterialsSciences Vol.5, August1998, pp.223-235

IV t..J o

Tabl

e3-

lJni

!pr

oces

ses

and

faci

lines

lor

com

plet

epa

ckA

getre

atm

empl

an!

1/Pr

oces

sTy

peof

curv

ePa

ram

eter

mlg

et:n

iua

bc

R'B

ase

year

Slud

gede

wat

erin

gla

goon

sC

onst

ruct

ion

CC

(25

00.1

470(

0)Ef

fect

ive

Stor

age,

tY26

21.7

845

0.99

320.

9224

0.98

901

1990

Eile

rt,p.

l!X3

Die

sel

Fuel

DF

(50

0•

2000

0)

Slud

geR

emov

ed.

tYfY

r-4

.296

20.

0887

0.74

530.

9678

619

90M

ainl

.ena

nce

Mal

.eria

lM

M(

500

-200

00)

Slud

geR

emov

ed.

tYfY

r~.

1504

0.12

110.

9853

0.99

995

1990

Labo

urO

L(

500

•20

000

)Sl

udge

Rem

oved

,tYfYr'

4.04

540.

0034

1.02

360.

9996

919

90

2C

cnve

ntio

Ml

pKb,

geco

mpl

ete

lreal

l1ltn

!C

onst

ruct

ion

CC

(2.1

50)

Fille

TA

rca,

0285

826.

0638

4937

.62

0.92

830.

9239

519

90Z

Gum

errn

ann

tU_I

,p.

22B

uild

ing

Ener

gyB

E(2

-15

0)Fi

ll.er

Are

a,fr

3778

.357

332

0.68

920.

9188

0.86

799

1990

52(I

back

was

h!d

ay)

Proc

ess

Ener

gyPE

(~

-15

0)Fi

lter

Arc

a,ft2

·121

2.74

6913

60.4

663

0.33

250.

9819

919

90> Z

(2ba

ckw

ashe

s/da

y)Pr

oces

sEn

ergy

PE(2

-150

)Fi

ller

Arc

a,fr

·941

.487

411

07.3

761

0.38

070.

9868

319

90~

(Iba

ckw

ash

!day

)M

ainl

.ena

nce

Mat

eria

lM

M(2

-150

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ll.er

Arc

a,02

913.

6526

91.4

575

0.86

780.

9542

419

90t'T

1 Z(2

bac~

'ashe

slda

y)M

ainl

.ena

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lM

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-150

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ller

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a,02

1280

.406

683

.755

30.

9304

0.93

5719

90C)

(Iba

ckw

ash

lday

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gpm

Labo

urO

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4.4K

-10

80K

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an!

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nte,

gpd

359.

2445

0.23

80.

601S

70.

!f9S

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903::

(~ba

ckw

ashc

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gpm

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urO

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4.4K

-10

SOK

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an!

Flow

rate

,gp

d37

4.5~

090.

~803

0.63

7S0.

9980

319

90>

(Iba

ckw

ash

lday

)5

gpm

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urO

L(1

4.4K

-10

SOK

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an!

Flow

rate

,gp

d54

8.70

50.

0665

0.71

240.

9067

519

90-l t'T

1(~

back

was

he~'

day)

5gp

mLa

bour

OL

(14.

4K-

1080

K)

Plan

!Fl

owra

te,

gpd

565.

1473

·0.1

:!I5

0.65

590.

9979

719

90?'

Chl

orin

eC

I(1

4.4K

-10

80K

)Pl

ant

Flow

rate

,gp

d-9

.731

10.

01~1

0.97

730.

9994

219

90en o

Poly

mer

Poly

(14.

4K·

10SO

K)

Plan

!Fl

owrs

te,

gpd

~.20

470.

0004

0.98

10.

9994

419

90.

Alu

mA

l(1

4.4K

.108

0K)

Plan

!Fl

OW

T'&

te,gp

d-7

3.64

30.

042

0.97

440.

9995

I19

90> C

3Pa

ckag

eRa

w~-&

1C

rPu

mpi

ngFa

ciba

csC

onst

ruct

ion

CC

(20-

700)

Pum

ping

Cap

acity

,gp

m10

415.

3~83

6C)

186.

6450

770.

6916

0.99

319

79C

Gw

nerm

an~I

tU.I

,p.

llPr

oces

sEn

ergy

PE(2

0-70

0)Pu

mpi

ngC

apac

ity,

gprn

·2.7

~547

116.

537

0.99

945

0.99

919

79en -l

Mai

nlen

ance

Mal

eria

lM

M(~

0-70

0)Pu

mpi

ngC

apac

ity,

£I'm

16.3

9852

612

.077

824

0.35

136

0.99

419

79\0

Labo

urO

L(20

-700

)Pu

mpi

ngC

ap&

city

,£I

'm49

.713

478

0.04

9973

1.10

705

0.99

619

79\0 00

4Sa

cel

Bac

Jr,n

sh!

C\e

arTo

'eJ1T

anks

CO

IISU

UC

tion

CC

(50~

3000

C)

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acity

,ga

l10

70.4

668

2787

974

o.!3

979

0.99

819

79G

umem

taD

~d.i,

p.l3

4

5Pa

ckag

eH

iPSe

rvic

ePu

mpi

ngSi

lltio

DJ

CO

DSI

nIC

tion

CC

(30.

1100

)Pu

mpi

ngC

apac

ity,

gpm

9131

.645

058

185.

7556

310.

6026

20.

9896

1979

Gw

ncrm

ann

aI..I,

p.12

6C

OII

SUU

Ctio

nC

C(3

0·11

00)

Pum

pin

gC

apac

ity,

£I'm

095

.251

473

1.11

169

0.99

919

79C

OII

SUU

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nC

C(3

0-11

00)

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ping

Cap

&ci

ty.

£Pm

29.2

7397

0.00

7092

1.32

640.

9819

79C

OII

SUU

Ctio

nC

C(3

0.11

00)

Pum

ping

Cap

acity

,gp

m6.

6130

967

.155

767

0.10

125

0.93

219

79

Page 9: Cost estimation models for drinking water treatment …nopr.niscair.res.in/bitstream/123456789/29636/1/IJEMS 5(4...IndianJournalofEngineering&MaterialsSciences Vol.5, August1998, pp.223-235

SETHI & CLARK: COST ESTIMATION MODELS FOR WATER TREATMENT PROCESSES 231

Coagulant f-----i Rapid Mix I---t Flocculation IlFeed

RectangularClarifier

1f-t

Gravity Filter GravityThickener Media Filtration

- 1

BasketCentrifuge Surface

Wash

magnitude, a 11x2 weighting function was used tobetter fit the cost data. For some data sets where asingle curve could not be found to fit the entiredata set, the set was broken into segments and thedata were represented by a combination ofpolynomial and straight line approximations.

Cost curves for 22 unit processes and facilitiesrequired for a conventional treatment plant, and 5processes and facilities for package treatment plantare listed in Tables 2 and 3 respectively. a, band care the parameters estimated for each curve as inEq. (2). "R2

" represents the goodness of fit of themodel to the cost data. The column labeled"parameter range" indicates the values of the inputparameters over which cost data were available todevelop the model. In some cases, the values ofparameter 'a' are negative. However, if the value

I RawWaler I

DewateredSludgeHauling

FinishedWater.

Pumping

of the input design variable is limited to the"parameter range", y results in a positive cost unit.The "unit" column describes the unit of flow or thedesign parameter used. For a different system ofunits of input of x, a and c would remainunchanged, but b would need to be replaced bybx(CF)C, where CF is the conversion factor. Forexample, for the construction cost model forchlorine cylinder feed and storage systems (Table2, # 1), if the inputs were given in kg/day instead oflb/day, the value of b (=372.3289) would bemodified to 775.6897[=bx(2.2)09309 where 2.2 isthe conversion factor from kg/day to lb/day and0.9303 is the value of parameter c]. "Base year"indicates that the cost estimates are based on thedollar index for that year. To update the date tocurrent cost estimates, the cost would have to be

Backwash Pumping

ChlorineInjectionSystem

Clear WellStorage

..-Fig. 6--Flow chart for a 40 mgd conventional treatment plant

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232 INDIAN 1. ENG. MATER. SCI., AUGUST 1998

Package CompleteTreatment Plant 1--4

Raw WaterPumpingFacilities

SludgeDisposal

High ServicePumping I-------Station

Steel Backwash /Clearwell Tank

Fig. 7-Flow chart for a 350 gpm package treatment plant

multiplied by the ratio of the cost indices for thecurrent and base years (listed in Table I) usingEq. (I). The "process" column also refers to thesource document for the data.

Process Costing ExamplesTo illustrate the application of the cost curves,

two examples of treatment trains were selected': (i)a 40 mgd conventional treatment plant (Fig. 6), and(ii) a 350 gpm package complete treatment plant(Fig. 7). Costing analysis for these two examples ispresented in Tables 4 and 5 using the cost curveslisted in Tables 2 and 3 respectively. To estimatethe O&M costs in a treatment plant, the operatingcapacity (less than the design capacity) of the plantwas used. The costs have been updated to 1997using the CCI and PPI from Table I.

Costing of 40 mgd plantFig. 6 shows the flow chart for a typical

conventional treatment plant. Conventionaltreatment plants are primarily made fromreinforced concrete and cast in-place structures.They consist of chemical feed systems, rapid mix,flocculation, clarification, filtration, and sludgedisposal facilities.

Costing of package complete treatment plantPackage complete treatment plants include

coagulation, flocculation, sedimentation andfiltration, all included in factory preassembledunits or field assembled modules (Fig. 7). Therelatively low capital, and operational andmaintenance costs make these package plantssuitable for smaller water demand situations. Theexample includes complete and operable facilities,

including raw water pumping, clearwell storage,high service pumping, an enclosure for allfacilities, and chemical requirements. In thisexample, sludge lagoons were assumed fordisposal of sludge.

The annual costs for both the systems wereestimated using the rates listed in Table 6. Column2 in Tables 4 and 5 refers to the cost models usedfrom Tables 2 and 3. Total capital cost wasestimated by adding an additional 42% and 36 %of total construction costs for the 40 mgd and the350 gpm plants respectively. This was done toaccount for the cost for administration, laboratoryand maintenance buildings; sitework, interfacepiping and roads (~5%); contractors overhead andprofit( ~ 10%); engineering fee (~I 0%), and land,legal and administrative costs. These additionalcosts are based on the original estimates made byGumerman et al'; and should be evaluated foreach specific project. The cost of annual chemicalrequirements for the two systems are included inTables 4 and 5. The cost estimates from thisanalysis indicates a treatment cost of $0.55/kgal forthe 40 mgd plant, and $1.24/kgal for the 350 gpmplant.

ConclusionsCost appraisals are frequently used to eliminate

non-cost effective alternatives and to concentrateresearch and evaluation efforts onto pathwaysleading to the most promising end results. The costinformation presented here falls into a categorythat can be used for what might be termed "pre-design estimates". Pre-design estimates are usefulfor guiding research and for examining the most

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Tabl

e4-

Cos

ting

for

a40

mgd

conv

entio

nal

wat

ertre

atm

ent

plan

t

#U

nit

Proc

ess/

Faci

lity

Cos

tD

esig

nC

C($

)O

pera

ting

MM

Ener

gyD

iese

lLa

bour

Ener

gyD

iese

lLa

bour

Tota

lO&

MC

apita

lTo

tal

curv

eca

paci

tyca

paci

ty($

/yea

r)(k

WH

/yea

r)(g

al/y

ear)

hour

s/ye

ar($

/yea

r)($

/yea

r)$/

year

($/y

ear)

($/y

ear)

($/y

ear)

(Tab

leV

JtT

I2)

-lI

Alu

mfe

edsy

stem

(43

1334

41b/

day

$281

,585

8400

lblh

$4,6

388,

539

090

8$6

83$0

$13,

620

$18,

941

$33,

086

$52,

027

:r:m

gIL)

$12,

067

~2

Sodi

umhy

drox

ide

feed

539

2ga

l/day

$30,

788

260

gal/d

ay$2

16B

E:17

40

548

$14

$8,2

20$2

41$3

,618

$241

()

syst

em(2

4m

g)PE

:301

1$2

41r ~

3Po

lym

erfe

edsy

stem

(0.2

467

lb/d

ay$5

3,79

945

lb/d

ay$7

9614

,569

078

4$1

,166

$0$1

1,76

0$1

3,72

2$6

,321

$20,

043

;>:I

mg/

I);><

::

4R

apid

mix

(45

s,G

=600

)6

2785

ft'$1

20,8

0327

85ft3

$90

283,

673

053

8$2

2,69

4$0

$8,0

70$3

0,85

4$1

4,19

4$4

5,04

8()

5Fl

occu

latio

n(3

5m

in,

2113

0,00

0fr

'$7

52,9

1713

0,00

0ft3

$8,9

3515

4,16

00

409

$12,

333

$0$6

,135

$27,

403

$88,

468

$115

,871

0 VJ

G=5

0)-l

6R

ecta

ngul

arcl

arifi

er22

40,0

00ft2

$4,6

47,4

7840

,000

W$1

8,16

770

,560

04,

344

$5,6

45$0

$65,

160

$88,

972

$546

,079

$635

,051

tTI

VJ

(100

0gp

d/fr

')::l

7G

ravi

tyfil

tratio

n(5

855

60W

$5,7

81,1

3155

60W

$14,

542

1,00

3,50

10

4,54

8$8

0,28

0$0

$68,

220

$163

,042

$679

,283

$842

,325

3:gp

m/fr

')~ -l

8Fi

lter

med

ia-m

ixed

med

ia9,

1040

mgd

$425

,453

$49,

991

$49,

991

(59

Surf

ace

was

hII

5560

W'

$351

,007

5560

W'

$725

78,4

880

330

$6,2

79$0

$4,9

50$1

1,95

4$4

1,24

3$5

3,19

7Z

10B

ackw

ash

pum

ping

(18

2010

010

gpm

$252

,792

5560

W'

$5,3

0613

2,87

40

296

$10,

630

$0$4

,440

$20,

376

$29,

703

$50,

079

3:gp

m/ft

')0 0

IIW

ash

wat

ersu

rge

basi

n12

2680

0ft3

$141

,881

$16,

671

$16,

671

tTI

12C

hlor

ine

feed

syst

em(2

I67

0lb/

day

$226

,422

450l

b/da

y$2

,093

30,8

770

1150

$2,4

70$0

$17,

250

$21,

813

$26,

605

$48,

418

r VJ

mg/

I,)."

13C

lear

wel

lst

orag

e(u

nder

-13

2500

kgal

$1,8

65,4

4525

00kg

al7,

783,

570

017

,550

$622

,686

$0$2

63,2

50$8

85,9

36$2

19,1

90$1

,105

,125

0 ;>:I

grou

nd)

~14

Fini

shed

wat

erpu

mpi

ng19

3819

4gp

m$8

32,0

2819

444

gpm

12,0

00,0

000

541

$960

,000

$0$8

,115

$968

,115

$97,

763

$1,0

65,8

78~

15G

ravi

tyth

icke

ner

1485

0ft2

$159

,587

850

ft2$4

544,

120

014

8$3

30$0

$2,2

20$3

,004

$18,

751

$21,

755

-l tTI

16B

aske

tce

ntrif

uge

1611

5,00

0gp

d$6

75,7

8070

,000

gpd

$7,7

0630

3,62

60

1,09

4$2

4,29

0$1

6,41

0$4

8,40

6$7

9,40

4$1

27,8

10;>:

I17

Dew

ater

edsl

udge

han-

1537

00gp

d$1

77,4

9722

00gp

d10

,890

5,94

682

8$8

71$7

,433

$12,

420

$20,

724

$20,

856

$41,

580

-l

dlin

gTo

tal

CC

=$1

6,77

6,39

6;>:

ItT

I

18A

dmin

istra

tive,

Engi

-42

%of

CC

$7,0

46,0

86$8

27,9

15~ -l

neer

ing,

Site

wor

ket

c.3:

Tota

lA

nnua

lO

&M

Cos

$2,3

31,9

51tT

I

Arn

oriti

zed

Ann

ual

Cap

ital

Cos

t:$2

,799

,142

Z -lC

hem

ical

Cos

tsU

nit

Cos

t'"C

Alu

m15

33to

ns/y

ear

$127

$194

,691

;>:I

0Po

lym

er16

425

Ib/y

ear

$4$5

9,13

0o

Sodi

umH

ydro

xide

602

tons

/yea

r$3

60$2

16,7

20tT

IV

J

Chl

orin

e82

tons

/yea

r$5

42$4

4,44

4V

JtT

ITo

tal

Ann

ual

Che

mic

alC

ost

$514

,985

C/l

Tota

lA

nnua

lC

ost

(Cap

ita1+

0&M

+Che

mic

al$5

,646

,077

Wat

erTr

eatm

ent

Cos

t($

/gal

):0.

0005

52

N w w

Page 12: Cost estimation models for drinking water treatment …nopr.niscair.res.in/bitstream/123456789/29636/1/IJEMS 5(4...IndianJournalofEngineering&MaterialsSciences Vol.5, August1998, pp.223-235

N V.) ~

Tabl

eo-c

-Cos

ting

for

a35

0gp

mpa

ckag

etre

atm

ent

plan

t

#U

nit

Proc

essl

Faci

lity

Cos

tD

esig

nC

C($

)O

pera

ting

MM

Ener

gyD

iese

lLa

bour

Ener

gyD

iese

lLa

bour

Tota

lO&

MC

apita

lTo

tal

curv

eca

paci

tyca

paci

ty(S

/yea

r)(k

WH

/yea

r)(g

al/y

ear)

hour

s/ye

ar($

/yea

r)(S

/yea

r)$/

year

(S/y

ear)

(S/y

ear)

(S/y

ear)

(Tab

le3)

ZI

Pack

age

raw

wat

er3

500

gpm

S49,

930

245

gpm

$181

28,4

620

72S2

,277

SO$1

,080

$3,5

38$5

,867

S9,4

040

pum

ping

faci

litie

s:;

2Pa

ckag

eco

mpl

ete

treat

-2

70ftl

$488

,287

245

gpm

$5,5

48B

E:15

,234

010

94$1

,219

$0$1

6,41

0$2

3,17

7$5

7,37

4S8

0,55

1Z

men

tpl

ant

(5gp

m/ft

',2

PE:3

,750

$300

•....$3

00$0

$0$3

00tr1

back

was

hes/

day

Z3

Stee

lba

ckw

ashl

clea

rwel

l4

100,

000

gal

$179

,403

$21,

080

$21,

080

Pta

nk~

4Pa

ckag

ehi

ghse

rvic

e5

500

gpm

$35,

137

245

gpm

$72

43,1

390

124

$3,4

51$0

$1,8

60$5

,384

$4,1

29$9

,512

;I>

pum

pst

atio

n..., tr1

5Sl

udge

dew

ater

ing

Ia-

I15

,000

ftl$1

1,94

312

,000

ftl$1

325

093

55$1

16$8

25$2

,266

$1,4

03$3

,669

?'go

onTo

tal

CC

=$7

64,7

00en o

6A

dmin

istra

tive,

Engi

-36

%of

CC

$275

,292

$32,

347

-ne

erin

g,Si

tew

ork

etc.

;I>

Tota

lA

nnua

lO

&M

Cos

t$3

4,66

4C 0

Am

oriti

zed

Ann

ual

Cap

ital

Cos

t:$1

22,1

99C

Che

mic

alC

osts

Uni

tC

ost

V1 ...,

Alu

mII

tons

/yea

rSI

27$1

,397

\0Po

lym

er26

4lb

/yea

r$4

$950

\0 00

Chl

orin

e2

tons

/yea

r$5

42$8

67To

tal

Ann

ual

Che

mic

alC

ost

$3,2

15To

tal

Ann

ual

Cos

t(C

apita

l+O

&M

+Che

mic

al$1

60,0

78W

ater

Trea

tmen

tC

ost

($/g

al):

0.00

124

Page 13: Cost estimation models for drinking water treatment …nopr.niscair.res.in/bitstream/123456789/29636/1/IJEMS 5(4...IndianJournalofEngineering&MaterialsSciences Vol.5, August1998, pp.223-235

SETHI & CLARK: COST ESTIMATION MODELS FOR WATER TREATMENT PROCESSES 235

Table 6--Assumptions for cost analysis in Tables 4 and 5

Item

Capital Cost AmortizationLabor costElectric Power costDieselOperating Capacity

Value

10% interest for 20 years$151h$0.08/kWH$1.25/gallon70% of Design Capacity

desirable of several process or design alternatives.Many water treatment processes originate in thelaboratory and are tested through field scale pilotplant studies. A cost estimate at this stage maydisclose the most costly features of the processesand reveal specific areas for further study. Thenext step is to conduct preliminary evaluations inwhich laboratory data and pilot plant data istranslated into equipment designs, piping, layout,buildings, etc.. At this point choices can be madeof unit processes that are most attractive from aneconomic viewpoint after all factors areconsidered. The final decision as to whether or notto build a treatment facility is complex andinvolves many factors that must be weighed byjudgement. Comparative costs may be used toevaluate these factors. The reliability of costestimates is a function of basic data, stage ofdevelopment, definition of scope, the timeexpended on the analysis, and experience of theanalyst.

This paper makes available models that can beused for making cost estimates for constructionand O&M costs for a selected number of unitprocesses that are frequently used in conventionaltreatment plants and package treatment plants.

AcknowledgmentThe authors would like to thank Drs Manohari

Sivaganesan and L K Jain for their assistance. Partof this work was completed during the firstauthor's appointment to the Postgraduate Research

participation Program administered by. the OakRidge Institute for Science and Education throughan interagency agreement between the U. S.Department of Energy and the U. S. EnvironmentalProtection Agency.

NomenclatureAl Alum feedBE Building EnergyCC Construction costsCl Chlorine FeedDF Diesel FuelFU Fuel Costsgpd U.S. gallon/daygpm U.S. gallons/minuteHC Heating coilsmgd million U.S. gallons/dayMM Maintenance materialsOL LabourPE Process energyPoly Polymer feedPU Pumping energy

ReferencesI Gumerman R C, Culp R L & Hansen S P, Estimating

Water Treatment Costs, Vol 1-4, EPA-600/2-79-l62a,USEPA, Cincinnati OH 45268, August, 1979.

2 Gumerman R C, Burris B E & Hansen S P, Estimation ofSmall System Water Treatment Costs, EPA-600/S2-84-184, RREL, USEPA, Cincinnati OH 45268, March 1984.

3 Malcolm and Pimie, USEPA In-house report(Unpublished), Contract 68-03-3492, 1989.

4 Eilers R G, Small System Water Treatment Costs forChemical Feed Processes, In-house report (unpublished),RREL, USEPA, Cincinnati OH 45268, June 1991.

5 Clark R M, Adams J, Abdesaken F, Sethi V &Sivaganesan M, Compilation of Cost Models for WaterTreatment Unit Processes, In-house report, Water Supplyand Water Resources Division, NRMRL, USEPA,Cincinnati, 1998.

6 Clark Robert M, J Environ Eng Div, ASCE, 108 (1982)819.

7 Clark Robert M, & Dorsey Paul, J Am Water WorksAssoc, 74 (1982) 618

8 Adams Jeffrey Q & Clark Robert M, J Am Water WorksAssoc, 81 (1989) 35.