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Understanding the Software Options

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TABLE 8. PURCHASE COST (C PCS) OF OTHER TYPES OF EQUIPMENT<br />

Centrifuges CapCost DFP CCEP<br />

EconExpert<br />

AspenPEA<br />

Dia., m<br />

Material<br />

CPCS ∆% ∆% ∆% ∆%<br />

CS3-Ct-101 2 CS 303,600 n/a +<br />

n/a +<br />

n/a +<br />

49%<br />

CS3-Ct-102 2 CS 303,600 n/a +<br />

n/a +<br />

n/a +<br />

Crystallizers<br />

49%<br />

CS3-Cr-101 21.9 CS 139,150 n/a +<br />

–76% n/a +<br />

Fired heater<br />

210%<br />

CS6-H-101 26,800 CS 1,078,700 63% 112% –46% 59%<br />

CS5-H-101<br />

Mills<br />

360,000 CS 6,405,500 –23% –15% –13% –35%<br />

CS7-C-101 0.00035 SS 67,100+ n/a +<br />

n/a +<br />

–90% n/a +<br />

Filtering centrifuges<br />

CS7-S-103 0.00002 SS 53,900+ n/a +<br />

n/a +<br />

181% n/a +<br />

Filters<br />

CS7-S-104 0.0075 SS 18,600* n/a +<br />

n/a +<br />

–99%* –98%<br />

CS7-S-101 1.5 SS 18,600* n/a +<br />

n/a +<br />

–89% –47%<br />

CS7-S-102 55 SS 131,000 n/a +<br />

n/a +<br />

n/a #<br />

–37%<br />

CS7-S-105 80 SS 170,200 n/a +<br />

n/a +<br />

n/a #<br />

31%<br />

CS7-S-106 90 SS 184,000 n/a +<br />

n/a +<br />

n/a #<br />

33%<br />

CS7-S-107 90 SS 184,000 n/a +<br />

n/a +<br />

n/a #<br />

33%<br />

Reactor-jacketed agitated<br />

CS3-R-101 28.4 CS 109,135 n/a +<br />

n/a +<br />

–70% n/a +<br />

CS3-R-102 28.4 CS 109,135 n/a +<br />

n/a +<br />

–70% n/a +<br />

* cost of minimum size as size is less than <strong>the</strong> minimum size<br />

+ not available in this program and so taken from ano<strong>the</strong>r program<br />

# purchase cost not available in EconExpert<br />

TABLE 9. TOTAL MODULE COST (C TM) OF<br />

EQUIPMENT<br />

Total module<br />

cost CapCost DFP CCEP<br />

Econ-<br />

Expert<br />

and agitated reactors are only available<br />

in CapCost and EconExpert. The<br />

results obtained from <strong>the</strong>se two are<br />

comparable (Table 8).<br />

Total purchase and module cost<br />

We also compared total purchase and<br />

total module costs for all pieces of<br />

equipment in each case study given<br />

by <strong>the</strong> different programs. For all programs,<br />

if a piece of equipment had a size<br />

above <strong>the</strong> valid range, it was divided<br />

into multiple units of smaller size and<br />

<strong>the</strong> costing was done by summing C TM<br />

for multiple smaller units. If a piece of<br />

equipment had a specification below<br />

<strong>the</strong> valid range, <strong>the</strong>n its cost was estimated<br />

by taking <strong>the</strong> lower limit of <strong>the</strong><br />

valid range. Similarly, if <strong>the</strong> flowrate<br />

was less than <strong>the</strong> minimum required<br />

for costing, <strong>the</strong> minimum flowrate was<br />

used (not actual). Since layers of silver<br />

wire gauze inside <strong>the</strong> reactor cannot be<br />

Aspen-<br />

PEA<br />

CTM ,<br />

Case study $million ∆% ∆% ∆% ∆%<br />

1 4.3 –6% –4% –36% –3%<br />

2 1.0 16% 71% –5% 68%<br />

3 2.5 6% –11% –14% 81%<br />

4 4.1 79% 19% –29% 28%<br />

5 33.3 27% –23% –28% –36%<br />

6 17.0 94% 14% 2% –11%<br />

7 9.4 34% 7% 8% 14%<br />

mapped to any equipment<br />

in <strong>the</strong> programs, it is not<br />

evaluated in case four. For<br />

similar reasons, <strong>the</strong> cost<br />

of catalyst pellets is also<br />

excluded in <strong>the</strong> total fixed<br />

capital cost in case five.<br />

The five programs give<br />

comparable purchase and<br />

total module costs for <strong>the</strong><br />

whole plant in each case<br />

study (Table 9 and online<br />

table VIII), with DFP giving<br />

a slightly higher cost<br />

in some cases. In case study two, both<br />

<strong>the</strong> purchase and total module costs<br />

obtained by ApenPEA are more than<br />

60% higher than those by CapCost.<br />

This is mainly due to <strong>the</strong> high costs<br />

of towers and vessels in AspenPEA.<br />

In case three, <strong>the</strong>re is good agreement<br />

among different programs except for<br />

AspenPEA, which shows higher purchase<br />

and total module costs due to<br />

<strong>the</strong> high costs of crystallizers and vessels.<br />

In case studies four and six, <strong>the</strong><br />

high deviations (more than 80%) in<br />

both purchase and total module cost<br />

in DFP are mainly due to cost differences<br />

in vessels and packing towers.<br />

Conclusions<br />

Although based on different methods<br />

and developed in different platforms,<br />

all five programs are user friendly<br />

and are useful tools for estimating<br />

<strong>the</strong> capital cost of chemical process<br />

plants. AspenPEA has <strong>the</strong> most equipment<br />

types available out of <strong>the</strong> five<br />

programs. DFP is <strong>the</strong> most limited in<br />

that regard. Based on our analysis,<br />

<strong>the</strong> overall plant cost does not deviate<br />

much among <strong>the</strong> different programs<br />

studied. However, equipment capital<br />

costs for different programs may not<br />

be comparable. There is generally<br />

good agreement for <strong>the</strong> purchase costs<br />

of floating-head heat exchangers.<br />

For fixed-head heat exchangers and<br />

pumps, <strong>the</strong>re is greater deviation in<br />

both purchase and total module costs<br />

among different programs studied.<br />

Also, <strong>the</strong>re is significant deviation for<br />

most vessels and towers in total module<br />

cost. Since material, pressure and<br />

installation factors vary in different<br />

methods in calculating total module<br />

cost, capital cost estimates may differ.<br />

Hence, while evaluating plant design<br />

alternatives, it is important to use<br />

only one program for cost evaluation<br />

of process design options to maintain<br />

consistent results. ■<br />

Edited by Scott Jenkins<br />

Editor’s note: Additional tables for total module<br />

cost of equipment are included in <strong>the</strong> online<br />

version of this article (www.che.com).<br />

Authors<br />

Ying Feng is currently a<br />

technologist at Shell Chemicals<br />

Seraya Pte. Ltd. She received<br />

a B.S.Ch.E. and a B.S.<br />

(economics) from <strong>the</strong> National<br />

University of Singapore in<br />

2010, with first-class honors<br />

in both degrees. She received<br />

a scholarship for her performance<br />

at <strong>the</strong> university, and<br />

also received a Baden-Württemberg<br />

Scholarship during<br />

her student exchange program at Karlsruhe<br />

Institute of Technology, in Germany. Feng’s research<br />

interests are capital cost estimation and<br />

optimization of petrochemical processes.<br />

G.P. Rangaiah has been with<br />

<strong>the</strong> National University of Singapore<br />

(21 Lower Kent Ridge<br />

Rd., Singapore 119077; Phone:<br />

+65 6516 2187; Email: chegpr@<br />

nus.edu.sg) since 1982, and is<br />

currently professor and deputy<br />

head for student and academic<br />

affairs in <strong>the</strong> Dept. of Chemical<br />

& Biomolecular Engineering.<br />

He received bachelor’s,<br />

master’s and doctoral degrees<br />

in chemical engineering, from Andhra University,<br />

IIT Kanpur and Monash University, respectively.<br />

Rangaiah worked at Engineers India Ltd. for two<br />

years before his doctoral study. His research interests<br />

are in control, modeling and optimization<br />

of chemical, petrochemical and related processes.<br />

Rangaiah has supervised ten research fellows<br />

and 35 graduate <strong>the</strong>ses. He has edited two books,<br />

published 120 papers in international journals<br />

and presented 100 papers in conferences. Rangaiah<br />

has received several teaching awards, including<br />

<strong>the</strong> Annual Teaching Excellence Awards from<br />

<strong>the</strong> National University of Singapore for four consecutive<br />

years.<br />

CHEMICAL ENGINEERING WWW.CHE.COM AUGUST 2011 29

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