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

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  • Burhan, Muhammad
  • Chua, Kian Jon Ernest
  • Ng, Kim Choon

Abstract

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.

Suggested Citation

  • Burhan, Muhammad & Chua, Kian Jon Ernest & Ng, Kim Choon, 2016. "Sunlight to hydrogen conversion: Design optimization and energy management of concentrated photovoltaic (CPV-Hydrogen) system using micro genetic algorithm," Energy, Elsevier, vol. 99(C), pages 115-128.
    • Handle: RePEc:eee:energy:v:99:y:2016:i:c:p:115-128
    DOI: 10.1016/j.energy.2016.01.048
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    8. Chen, Qian & Oh, Seung Jin & Burhan, Muhammad, 2020. "Design and optimization of a novel electrowetting-driven solar-indoor lighting system," Applied Energy, Elsevier, vol. 269(C).
    9. Zhang, Jingrui & Lin, Shuang & Liu, Houde & Chen, Yalin & Zhu, Mingcheng & Xu, Yinliang, 2017. "A small-population based parallel differential evolution algorithm for short-term hydrothermal scheduling problem considering power flow constraints," Energy, Elsevier, vol. 123(C), pages 538-554.
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