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Evaluation of optimal dual axis concentrated photovoltaic thermal system with active ventilation using Frog Leap algorithm

机译:使用Frog Leap算法评估具有主动通风的最佳双轴集中式光伏热力系统

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In this study, design and optimization of a concentrated photovoltaic thermal (CPVT) system considering electrical, mechanical, and economical aspects is investigated. For this purpose, each section of the system is simulated in MATLAB, in detail. Triple-junction photovoltaic cells, which are the most recent technology, are used in this study. They are more efficient in comparison to conventional photovoltaic cells. Unlike ordinary procedures, in this work active ventilation is used for absorbing the thermal power of radiation, using beat storage tanks, which not only results in increasing the electrical efficiency of the system through decreasing the temperature, but also leads to storing and managing produced thermal energy and increasing the total efficiency of the system up to 85 percent. The operation of the CPVT system is investigated for total hours of the year, considering the needed thermal load, meteorological conditions, and hourly radiation of Khuznin, a city in Qazvin province, Iran. Finally, the collector used for this system is optimized economically, using frog leap algorithm, which resulted in the cost of 13.4 $/m(2) for a collector with the optimal distance between tubes of 6.34 cm. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在这项研究中,设计和优化考虑了电气,机械和经济方面的集中式光伏热(CPVT)系统。为此,将在MATLAB中详细模拟系统的每个部分。这项研究使用了最新技术三结光伏电池。与常规光伏电池相比,它们效率更高。与普通程序不同,在这项工作中,使用主动通风来利用节拍储罐吸收辐射的热能,这不仅可以通过降低温度来提高系统的电效率,而且可以存储和管理产生的热量能源和提高系统的总效率高达85%。考虑到伊朗Qazvin省一个城市Khuznin所需的热负荷,气象条件和每小时辐射,对CPVT系统一年中的总运行时间进行了调查。最后,使用蛙跳算法对本系统中使用的集热器进行经济优化,这导致集管之间的最佳距离为6.34 cm的集热器成本为13.4 $ / m(2)。 (C)2015 Elsevier Ltd.保留所有权利。

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