Soft computing based multi-objective optimization of Brayton cycle power plant with isothermal heat addition using evolutionary algorithm and decision making
详细信息 查看全文
- 作者：Rajesh Aroraa ; rajesharora1219@rediffmail.com" class="auth_mail" title="E-mail the corresponding author ; S.C. Kaushikb ; Raj Kumarc ; Ranjana Arorad
- 关键词：Finite time thermodynamics (FTT) ; Irreversible Brayton cycle ; Isothermal heat addition ; Evolutionary algorithm ; Multi-objective optimization ; Decision making methods
- 刊名：Applied Soft Computing
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：46
- 期：Complete
- 页码：267-283
- 全文大小：1455 K
文摘
- •
Two performance parameters are optimized through NSGA-II and MOEA/D.
- •
Optimal values of various input parameters are obtained.
- •
Significant improvement (about 15%) in thermal efficiency is reported.
- •
Suitability of heat exchanger for a particular application can be found.
- •
Effects of various input parameters on dual objectives are reported.