Optimum Design of a CCHP System under Various Strategies
Publish place: 13th International Industrial Engineering Conference
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC13_217
تاریخ نمایه سازی: 14 شهریور 1396
Abstract:
Optimum design and control of a Combined Cooling, Heating and Power generation (CCHP) system, in addition to the economic benefits, could be profitable in environmental and energy consumption aspects. The aim of this study is to determine the system’s performance under five different strategies. In a real case study, a CCHP system is designed for an educational complex located in Mahmoudabad, Mazandaran, Iran. The objective is to minimize capital and operational costs, energy consumption, and CO2 emissions of the system. Due to the complexities of the model, genetic algorithm (GA) and particle swarm optimization (PSO) algorithm are used to find the optimal values of the decision variables. The results show that using FEL strategy CO2 emissions reduces in compression to FTL strategy. Furthermore, using multiple power generation units under FTL strategy eventuates the least cost but increases CO2 emissions and energy consumption in compression to FEL strategy.
Keywords:
Combined Cooling , Heating and Power generation , Optimized design and control strategy , Particle Swarm Optimization , Genetic Algorithm
Authors
Masoud Rabbani
Department of Industrial Engineering, University of Tehran
Setare Mohammadi
Department of Industrial Engineering, University of Tehran
Mahdi Mobini
Department of Industrial Engineering, University of Tehran