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Multi-objective Optimization of a Solar Driven Combined Power and Refrigeration System Using Two Evolutionary Algorithms Based on Exergoeconomic Concept

عنوان مقاله: Multi-objective Optimization of a Solar Driven Combined Power and Refrigeration System Using Two Evolutionary Algorithms Based on Exergoeconomic Concept
شناسه ملی مقاله: JR_JREE-3-1_006
منتشر شده در در سال 1395
مشخصات نویسندگان مقاله:

Vajiheh Sabeti - Department of Computer Engineering, Alzahra University, Tehran, Iran
Fateme Ahmadi Boyaghchi - Department of Mechanical Engineering, Alzahra University, Tehran, Iran

خلاصه مقاله:
This paper deals with a multi-objective optimization of a novel micro solar driven combined power and ejector refrigeration system (CPER). The system combines an organic Rankine cycle (ORC) with an ejector refrigeration cycle to generate electricity and cold capacity simultaneously. Major thermodynamic parameters, namely turbine inlet temperature, turbine inlet pressure, turbine back pressure, and evaporator temperature are selected as the decision variables. Three objective functions, namely the energetic efficiency, exergetic efficiency and cost rate of products are selected for optimization. NSGA-II and MOPSO are employed and compared, to achieve the final solutions in the multi-objective optimization of the system operating. It is found that the values of the energetic and exergetic efficiencies increase within ۲۷.۷% and ۲۶.۱%, respectively and the cost rate of products decreases by about ۳۲.۷% with respect to base case.

کلمات کلیدی:
Solar energy, cogeneration, Multi-Objective Optimization, NSGA-II, MOPSO

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1808259/