Multi-Objective Particle Swarm Optimization and Fuzzy Decision Making in a Benchmark Cogeneration System

Author

Babaie, Meisam ; Sayyaadi, Hoseyn ; Farmani, Mohammad Reza

Author_Institution

Mech. Eng. Dept., K.N. Toosi Univ. of Technol., Tehran, Iran

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

In this work, multi-objective optimization for design of a benchmark cogeneration system known as CGAM cogeneration system is performed. In optimization approach, the exergetic and economic aspects are considered, simultaneously. The thermoeconomic objective is minimized while the exergetic objective is maximized. A multi-objective particle swarm optimization (MOPSO) algorithm is used to find a set of Pareto optimal solutions with respect to the aforementioned objective functions. An example of fuzzy decision-making is also presented and a final optimal solution is introduced.

Keywords

Pareto optimisation; cogeneration; decision making; exergy; fuzzy set theory; particle swarm optimisation; power system economics; CGAM cogeneration system; Pareto optimal solutions; benchmark cogeneration system; economic aspect; exergetic aspect; exergetic objective; fuzzy decision making; multiobjective particle swarm optimization; thermoeconomic objective; Cogeneration; Decision making; Design optimization; Environmental economics; Fuel economy; Fuzzy systems; Particle swarm optimization; Power generation economics; Production; Thermodynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5364781

Filename

5364781