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International Journal of Engineering، جلد ۲۴، شماره ۴، صفحات ۳۶۷-۳۷۶
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Multi-Objective Optimization of Solar Thermal Energy Storage Using Hybrid of Particle Swarm Optimization and Multiple Crossover and Mutation Operator |
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| چکیده انگلیسی 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. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
Ahmad Bagheri |
Mechainical Engineering, University of Guilan
Mohamadhosein Sadafi |
Mechainical Engineering, University of Tehran
Hamed Safikhani |
Mechanical Engineering, University of Tehran
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| نشانی اینترنتی |
http://www.ije.ir/article_71940_f6e9259cad6ebe3ac6982fe62d179bf3.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2063090.pdf |
| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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