NAZEMZADEGAN Mohammad Reza1, KASAEIAN Alibakhsh1, TOGHYANI Somayeh1, AHMADI Mohammad Hossein2(), SAIDUR R.3, MING Tingzhen4
1. Department of Renewable Energies, Faculty of New Science and Technologies, University of Tehran, Tehran, 1417466191, Iran 2. Faculty of Mechanical Engineering and Mechatronic, Shahrood University of Technology, Shahrood 3619995161, Iran 3. Faculty of Science and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, 47500 Petaling Jaya, Malaysia; Department of Engineering, Lancaster University, Lancaster, LA1 4YW, UK 4. School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and bound method and MOPSO algorithm
Mohammad Reza NAZEMZADEGAN1, Alibakhsh KASAEIAN1, Somayeh TOGHYANI1, Mohammad Hossein AHMADI2(), R. SAIDUR3, Tingzhen MING4
1. Department of Renewable Energies, Faculty of New Science and Technologies, University of Tehran, Tehran, 1417466191, Iran 2. Faculty of Mechanical Engineering and Mechatronic, Shahrood University of Technology, Shahrood 3619995161, Iran 3. Faculty of Science and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, 47500 Petaling Jaya, Malaysia; Department of Engineering, Lancaster University, Lancaster, LA1 4YW, UK 4. School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
There are various analyses for a solar system with the dish-Stirling technology. One of those analyses is the finite time thermodynamic analysis by which the total power of the 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, four objective functions have been optimized simultaneously, including 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. The algorithm of multi-objective particle swarm optimization (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 the 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. The comparison of the results shows the benefits of MOPSO in optimizing dish Stirling finite time thermodynamic equations.
通讯作者:
AHMADI Mohammad Hossein
E-mail: mohammadhosein.ahmadi@gmail.com
Corresponding Author(s):
Mohammad Hossein AHMADI
引用本文:
NAZEMZADEGAN Mohammad Reza, KASAEIAN Alibakhsh, TOGHYANI Somayeh, AHMADI Mohammad Hossein, SAIDUR R., MING Tingzhen. 通过分支定界法和MOPSO算法进行碟式斯特林有限时间热力学方法中的多目标优化[J]. Frontiers in Energy, 2020, 14(3): 649-665.
Mohammad Reza NAZEMZADEGAN, Alibakhsh KASAEIAN, Somayeh TOGHYANI, Mohammad Hossein AHMADI, R. SAIDUR, Tingzhen MING. Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and bound method and MOPSO algorithm. Front. Energy, 2020, 14(3): 649-665.
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