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
SN - 1359-4311
VL - 28
SP - 1580
EP - 1588
JO - Applied Thermal Engineering
JF - Applied Thermal Engineering
IS - 13
ER -