Multi-Objective Optimization of Solar Thermal Energy Storage Using Hybrid of Particle Swarm Optimization and Multiple Crossover and Mutation Operator
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 24، شماره: 4
سال انتشار: 1390
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 213
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شناسه ملی سند علمی:
JR_IJE-24-4_007
تاریخ نمایه سازی: 17 بهمن 1400
چکیده مقاله:
Increasing of net energy storage (Q net) and discharge time of phase change material (t PCM), simultaneously, are important purpose in the design of solar systems. In the present paper, Multi-Objective (MO) based on hybrid of Particle Swarm Optimization (PSO) and multiple crossover and mutation operator is used for Pareto based optimization of solar systems. The conflicting objectives are Q net and t PCM and design variables are the geometrical parameters of solar system. The Pareto results of MO hybrid of PSO and multiple crossover and mutation operator methods are compared with that of multi-objective genetic algorithms (NSGA II). It is shown that some interesting and important relationships as useful optimal design principles involved in the performance of solar systems can be discovered.
کلیدواژه ها:
Particle Swarm Optimization ، multi ، objective optimization ، Multiple Crossover and Mutation Operator ، Solar System ، PCM
نویسندگان
Ahmad Bagheri
Mechainical Engineering, University of Guilan
Mohamadhosein Sadafi
Mechainical Engineering, University of Tehran
Hamed Safikhani
Mechanical Engineering, University of Tehran