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مقالات فارسیISIکنفرانسهاژورنالها

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

محل انتشار: مجله انرژی تجدیدپذیر و محیط زیست، دوره: 3، شماره: 1
سال انتشار: 1395
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 48

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استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:
https://civilica.com/doc/1808259

شناسه ملی سند علمی:

JR_JREE-3-1_006

تاریخ نمایه سازی: 10 آبان 1402

چکیده 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.

کلیدواژه ها:

Solar energy ، cogeneration ، Multi-Objective Optimization ، NSGA-II ، MOPSO

نویسندگان

Vajiheh Sabeti

Department of Computer Engineering, Alzahra University, Tehran, Iran

Fateme Ahmadi Boyaghchi

Department of Mechanical Engineering, Alzahra University, Tehran, Iran

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