شماره ركورد كنفرانس :
4518
عنوان مقاله :
Optimization of Energy Flow Model Function for a Case Study in Iran by Genetic Algorithms
Author/Authors :
M.K. Sinichi Department of Chemical Engineering, Islamic Azad University, Shahrood Branch, Shahrood, Iran , H. Zare Aliabadi Department of Chemical Engineering, Islamic Azad University, Shahrood Branch, Shahrood, Iran , J. Sargolzaei Department of Chemical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
كليدواژه :
energy flow optimization model , EFOM , optimization , genetic algorithms
عنوان كنفرانس :
The 7th International Chemical Engineering Congress & Exhibition (IChEC 2011
چكيده لاتين :
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.
