Techno-economic optimization of a sustainable system to cogenerate power and water for remote areas
作者机构：School of New TechnologiesIran University of Science&TechnologyTehranIran
出 版 物：《Clean Energy》 (清洁能源（英文）)
年 卷 期：2023年第7卷第3期
页 面：602-619页
核心收录：
学科分类：080702[工学-热能工程] 08[工学] 0807[工学-动力工程及工程热物理]
主 题：renewable hybrid system integrated water and power system PV-PVT-RO-battery system genetic algorithm optimization
摘 要：In this study,a new water and power cogeneration plant,employing photovoltaic(PV)and photovoltaic-thermal(PVT)panels simultaneously,is designed and optimized for a village struggling to provide energy and potable water in *** system includes a solar energy unit to generate clean electricity and heat,and a reverse osmosis unit to produce drinking ***-economic optimization is performed by implementing a genetic algorithm,and a comprehensive water and energy management strategy is designed and presented in detail,expandable for future works.A new method,the logarithmic model,is used to calculate the depth of discharge(DOD)of lithium-ion batteries,which was previously a fixed and predetermined value in previous *** indices,the constraints of the optimization process,are also introduced to measure the reliabilities of different *** effects of the system components on total cost are investigated and a comprehensive sensitivity analysis is performed to find the best solution to increase the penetration of renewable-energy *** results reveal that considering the depth of discharge of batteries and water storage tank capacity as decision variables reduces the system’s life-cycle cost(by 5.1%for changeable DODs).Furthermore,the simultaneous use of PV and PVT panels decreases the life-cycle cost considerably by≤19%compared with the use of only PVT ***,the cost of the battery causes a decrease in the cost of electricity storage and the cost of producing and storing fresh water.
维普期刊数据库