This submission belongs to the session a. Physics and Engineering of the event 1st International Electronic Conference on Entropy and Its Applications
Published date
03 Nov, 2014
Citation
Mohammad Hossein Ahmadi, Mohammad Ali Ahmadi, Milad Ashuri, Optimization Performance of Irreversible Refrigerators Based on Evolutionary Algorithm, in Proceedings of 1st International Electronic Conference on Entropy and Its Applications, 3 November–21 November 2014, MDPI: Basel, Switzerland, doi: 10.3390/ecea-1-a001
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Optimization Performance of Irreversible Refrigerators Based on Evolutionary Algorithm
Mohammad Hossein Ahmadi 1
Mohammad Ali Ahmadi 2
Milad Ashuri 1
1. Department of Renewable Energies, Faculty of New Science and Technologies, University of Tehran, Tehran, Iran
2. Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran
Abstract
In early works done by authors, performance analysis of refrigeration systems such as power input, refrigeration load and coefficient of performance (COP) was investigated. In this article a new function called "Coefficient of Performance Exergy" or COPE has been introduced. Two objective functions of coefficient of performance exergy and exergy destruction are optimized simultaneously using the multi-objective optimization algorithm NSGAII. COPE has been maximized and exergy destruction has been minimized in order to get the best performance. Decision making has been done by means of two methods of LINAMP and TOPSIS. Finally an error analysis done for optimized values shows that LINAMP method is preferable against TOPSIS method.
Keywords
Refrigeration
coefficient of performance
exergy destruction
decision making
Manuscript
ECEA-1_Optimization Performance_Ahmadi et al.pdf
Maximum Entropy Approach for Reconstructing Bivariate Probability Distributions