The 17 th International Chemical Engineering Congress & Exhibition (IChEC 2011 , 2011-11-21

Title : ( Optimization of Energy Flow Model Function for a Case Study in Iran by Genetic Algorithms )

Authors: M.K. Sinichi , H. Zare Aliabadi , Javad Sargolzaei ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

Long-term plan to optimize the energy supply sector, has a positive effect on the economy in global energy markets. The results of the optimization of energy supply, improve production efficiency and reduce environmental pollution caused by energy production. We do not want to explain strategies to improve the energy efficiency of operations. But to optimize the \\\\\\\"choice\\\\\\\" of converting the primary energy need, and to achieve the mathematical function we have used the energy flow optimization model (EFOM), which is among the types of energy sources, energy converters and energy consumption, suggests the optimal choice. If we consider \\\\\\\"Combined heat and power\\\\\\\" and \\\\\\\"environmental consideration\\\\\\\" in it, it is called EFOM ENV / CHP. In this paper, we tried to optimize the mathematical function of this model by genetic algorithm method.

Keywords

, energy flow optimization model, EFOM, optimization, genetic
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@inproceedings{paperid:1025461,
author = {M.K. Sinichi and H. Zare Aliabadi and Sargolzaei, Javad},
title = {Optimization of Energy Flow Model Function for a Case Study in Iran by Genetic Algorithms},
booktitle = {The 17 th International Chemical Engineering Congress & Exhibition (IChEC 2011},
year = {2011},
location = {کیش, IRAN},
keywords = {energy flow optimization model; EFOM; optimization; genetic algorithms},
}

[Download]

%0 Conference Proceedings
%T Optimization of Energy Flow Model Function for a Case Study in Iran by Genetic Algorithms
%A M.K. Sinichi
%A H. Zare Aliabadi
%A Sargolzaei, Javad
%J The 17 th International Chemical Engineering Congress & Exhibition (IChEC 2011
%D 2011

[Download]