Title :
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
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, NOxemission 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;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
978-1-61284-919-5
DOI :
10.1109/INISTA.2011.5946159
