Optimization of a multi-source system based on transient simulation method and response surface methodology focusing on renewable energies

Articles in Press

Document Type : Original Article

Authors

1 Department of Industrial Management, Firuzkoh Branch, Islamic Azad University, Firozkoh, Iran

2 Department of Mathematics, Firuzkoh Branch, Islamic Azad University, Firozkoh,

Abstract

The aim of this study is to optimize a multi-source system centered on renewable energies with transient simulation method and response surface methodology, at first two independent factors namely photovoltaic panels and cchp device as design variables and then 7 objective functions including: total electricity consumption, total gas consumption, total cchp fuel consumption, maintenance and repair costs, cost of production line shutdowns, reduction of environmental pollutants and also, return on investment as an economic response for optimization by transient simulation method and design method The test (response level) is examined, the results show that the optimization by the test design method occurs at the optimal point in the photovoltaic panel area of 16143.5 square meters and in the cchp power of 2328.29 kilowatts, the return on investment is 2.29 years. The area of solar panels and cchp power has reached the optimal state and the value of 0.729 on the Matelvoit function, the meaning of this value is that the combination of variables selected in the optimization in the best state of the optimal system reaches the value of the utility function of 0.729, which is a number very close to the maximum possible value, i.e. The ideal state is the utility function of 1. Meanwhile, it is suggested to investigate other energy sources such as wind and geothermal in future studies, as well as with the methods of artificial intelligence algorithms.

Keywords

Green Development Management Studies

Articles in Press, Accepted Manuscript
Available Online from 13 June 2024

Files

Share

How to cite

Statistics