Multi-Objective Optimization in a Finite Time Thermodynamic Method for Dish-Stirling by Branch and Bound Method and MOPSO Algorithm

Nazemzadegan, Mohammad Raza and Kasaeian, Akibakhsh and Toghyani, Somayeh and Ahmadi, Mohammad H. and Saidur, Rahman and Ming, Tingzhen (2020) Multi-Objective Optimization in a Finite Time Thermodynamic Method for Dish-Stirling by Branch and Bound Method and MOPSO Algorithm. Frontiers in Energy, 14. 649–665. ISSN 2095-1701

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Abstract

There are various analyses for a solar system with the dish Stirling technology. One of those analyses is the finite time thermodynamic analysis. By the finite time thermodynamic analysis, the total power of system can be obtained by calculating the process time. In this study, the convection and radiation heat transfer losses from collector surface, the conduction heat transfer between hot and cold cylinders and cold side heat exchanger have been considered. During this investigation, the four objective functions have been optimized simultaneously. These objective functions are included of the power, efficiency, entropy and economic factors. In addition to the four-objective optimization, three-objective, two-objective and single-objective optimizations have been done on the dish-Stirling model. In this study, the algorithm of MOPSO with post-expression of preferences is used for multi-objective optimizations while the Branch and Bound algorithm with Pre-expression of preferences is used for single-objective and multi-objective optimizations. In case of multi-objective optimizations with post-expression of preferences, Pareto optimal front are obtained, afterward by implementing the Fuzzy, LINMAP and TOPSIS decision making algorithms, the single optimum results can be achieved. At the end, the comparison of the results shows the benefits of MOPSO in optimizing dish Stirling finite time thermodynamic equations.

Item Type:
Journal Article
Journal or Publication Title:
Frontiers in Energy
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2100/2102
Subjects:
ID Code:
87386
Deposited By:
Deposited On:
18 Aug 2017 12:24
Refereed?:
Yes
Published?:
Published
Last Modified:
27 Nov 2020 04:49