Exergoeconomic analysis and optimization of a cogeneration system using evolutionary programming

Research output: Contribution to journalArticle

132 Citations (Scopus)

Abstract

Exergoeconomic analysis helps designers to find ways to improve the performance of a system in a cost effective way. Most of the conventional exergoeconomic optimisation methods are iterative in nature and require the interpretation of the designer at each iteration. In this work, a cogeneration system that produces 50 MW of electricity and 15 kg/s of saturated steam at 2.5 bar is optimized using exergoeconomic principles and evolutionary programming. The analysis shows that the product cost, cost of electricity and steam, is 9.9% lower with respect to the base case. This is achieved, however, with 10% increase in capital investment. Moreover, it is important to note that the additional investment can be paid back in 3.23 years. © 2007 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)1580-1588
Number of pages9
JournalApplied Thermal Engineering
Volume28
Issue number13
DOIs
Publication statusPublished - 2008

Fingerprint

Evolutionary algorithms
Steam
Electricity
Costs
Iterative methods

Cite this

@article{611b6725a30c451baf1dace316d86df9,
title = "Exergoeconomic analysis and optimization of a cogeneration system using evolutionary programming",
abstract = "Exergoeconomic analysis helps designers to find ways to improve the performance of a system in a cost effective way. Most of the conventional exergoeconomic optimisation methods are iterative in nature and require the interpretation of the designer at each iteration. In this work, a cogeneration system that produces 50 MW of electricity and 15 kg/s of saturated steam at 2.5 bar is optimized using exergoeconomic principles and evolutionary programming. The analysis shows that the product cost, cost of electricity and steam, is 9.9{\%} lower with respect to the base case. This is achieved, however, with 10{\%} increase in capital investment. Moreover, it is important to note that the additional investment can be paid back in 3.23 years. {\circledC} 2007 Elsevier Ltd. All rights reserved.",
author = "P.K. Sahoo",
note = "Cited By :114 Export Date: 19 June 2018",
year = "2008",
doi = "10.1016/j.applthermaleng.2007.10.011",
language = "English",
volume = "28",
pages = "1580--1588",
journal = "Applied Thermal Engineering",
issn = "1359-4311",
publisher = "Elsevier Ltd",
number = "13",

}

Exergoeconomic analysis and optimization of a cogeneration system using evolutionary programming. / Sahoo, P.K.

In: Applied Thermal Engineering, Vol. 28, No. 13, 2008, p. 1580-1588.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Exergoeconomic analysis and optimization of a cogeneration system using evolutionary programming

AU - Sahoo, P.K.

N1 - Cited By :114 Export Date: 19 June 2018

PY - 2008

Y1 - 2008

N2 - Exergoeconomic analysis helps designers to find ways to improve the performance of a system in a cost effective way. Most of the conventional exergoeconomic optimisation methods are iterative in nature and require the interpretation of the designer at each iteration. In this work, a cogeneration system that produces 50 MW of electricity and 15 kg/s of saturated steam at 2.5 bar is optimized using exergoeconomic principles and evolutionary programming. The analysis shows that the product cost, cost of electricity and steam, is 9.9% lower with respect to the base case. This is achieved, however, with 10% increase in capital investment. Moreover, it is important to note that the additional investment can be paid back in 3.23 years. © 2007 Elsevier Ltd. All rights reserved.

AB - Exergoeconomic analysis helps designers to find ways to improve the performance of a system in a cost effective way. Most of the conventional exergoeconomic optimisation methods are iterative in nature and require the interpretation of the designer at each iteration. In this work, a cogeneration system that produces 50 MW of electricity and 15 kg/s of saturated steam at 2.5 bar is optimized using exergoeconomic principles and evolutionary programming. The analysis shows that the product cost, cost of electricity and steam, is 9.9% lower with respect to the base case. This is achieved, however, with 10% increase in capital investment. Moreover, it is important to note that the additional investment can be paid back in 3.23 years. © 2007 Elsevier Ltd. All rights reserved.

U2 - 10.1016/j.applthermaleng.2007.10.011

DO - 10.1016/j.applthermaleng.2007.10.011

M3 - Article

VL - 28

SP - 1580

EP - 1588

JO - Applied Thermal Engineering

JF - Applied Thermal Engineering

SN - 1359-4311

IS - 13

ER -