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

被引:45
作者
Burhan, Muhammad [1 ]
Chua, Kian Jon Ernest [1 ]
Ng, Kim Choon [2 ]
机构
[1] Natl Univ Singapore, Dept Mech Engn, Singapore 117548, Singapore
[2] King Abdullah Univ Sci & Technol, Water Desalinat & Reuse Ctr, Thuwal, Saudi Arabia
关键词
CPV; Optimization; Genetic algorithm; Hydrogen storage; Concentrated photovoltaic; Electrolyser; PARTICLE SWARM OPTIMIZATION; SOLAR-CELLS; HYBRID; STORAGE; PERFORMANCE; CONTROLLER;
D O I
10.1016/j.energy.2016.01.048
中图分类号
O414.1 [热力学];
学科分类号
摘要
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.
引用
收藏
页码:115 / 128
页数:14
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