Multi-objective optimization of power and heating system based on artificial bee colony

Author

Atashkari, K. ; NarimanZadeh, N. ; Ghavimi, A.R. ; Mahmoodabadi, M.J. ; Aghaienezhad, F.

Author_Institution

Dept. of Mech. Eng., Univ. of Guilan, Rasht, Iran

fYear

2011

fDate

15-18 June 2011

Firstpage

64

Lastpage

68

Abstract

In this work we propose Multi-Objective Artificial Bee Colony for solving multi objectives problems. This algorithm is applied on a base case cogeneration optimization problem with two-objective functions named the modified CGAM problem. The first objective function is exergetic efficiency that should be maximized. The second objective function is the total cost rate that should be minimized. then the effects of more important parameters such as: equivalence ratio, NO_xemission and unit cost of fuel will be investigated on the exergetic and economic performance of the system.

Keywords

air pollution; cogeneration; cost reduction; exergy; optimisation; power generation economics; cogeneration optimization problem; combined power and heating system; equivalence ratio; exergetic efficiency; fuel unit cost; multiobjective artificial bee colony; multiobjective optimization problem; nitric oxide emission; objective function; system economic performance; total cost rate; Algorithm design and analysis; Combustion; Correlation; Economics; Fuels; Investments; Optimization; CGAM problem; artificial bee colony; multi-objective optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on

Conference_Location

Istanbul

Print_ISBN

978-1-61284-919-5

Type

conf

DOI

10.1109/INISTA.2011.5946159

Filename

5946159