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Sunlight to hydrogen conversion: Design optimization and energy management of concentrated photovoltaic (CPV-Hydrogen) system using micro genetic algorithm

机译:阳光到氢气的转化:使用微遗传算法的聚光光伏(CPV-Hydrogen)系统的设计优化和能量管理

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Owing to the intermittent solar irradiance from cloud cover in the diurnal period and unavailability at night time, the practical design of a solar system requires energy backup storage for an uninterrupted supply or for off-grid operation. However, for highly efficient CPV (concentrated photovoltaic) system, the literature is lacking for energy management and optimization algorithm and tool for standalone operation. In this paper, a system with CPV and electrolyser is presented where beam irradiance of sunlight is harnessed to convert the instantaneously generated electricity into useful Hydrogen/Oxygen gas, where they can be stored and re-used for downstream applications such as the fuel cells, etc. The multi-variable design and multi-objective optimization strategies are proposed and presented for a standalone operation of the CPV-Hydrogen system as well as their system performances, particularly electrical rating of CPV based upon the real weather data of Singapore. (C) 2016 Elsevier Ltd. All rights reserved.
机译:由于昼夜期间云层间断的太阳辐射以及夜间不可用,因此,太阳能系统的实际设计需要不间断供电或离网运行的能量备份存储。但是,对于高效的CPV(集中式光伏)系统,缺乏有关能源管理和用于独立运行的优化算法和工具的文献。在本文中,提出了一种具有CPV和电解槽的系统,该系统利用太阳光的光束辐照将瞬时产生的电能转换成有用的氢气/氧气,可以将其存储并重新用于下游应用,例如燃料电池,提出并提出了多变量设计和多目标优化策略,用于CPV-氢气系统的独立运行及其系统性能,特别是根据新加坡的真实天气数据得出的CPV电气额定值。 (C)2016 Elsevier Ltd.保留所有权利。

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