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

Research output: Contribution to journalJournal articlepeer-review

  • Mohammad Raza Nazemzadegan
  • Akibakhsh Kasaeian
  • Somayeh Toghyani
  • Mohammad H. Ahmadi
  • Rahman Saidur
  • Tingzhen Ming
<mark>Journal publication date</mark>1/09/2020
<mark>Journal</mark>Frontiers in Energy
Number of pages17
Pages (from-to)649–665
Publication StatusPublished
Early online date6/04/18
<mark>Original language</mark>English


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.