Development of performance model and optimization strategy for standalone operation of CPV-hydrogen system utilizing multi-junction solar cell. (26th October 2017)

• Record Type: Journal Article
• Authors: Burhan, Muhammad; Shahzad, Muhammad Wakil; Ng, Kim Choon
• Is Part Of: International journal of hydrogen energy. Volume 42:Number 43(2017)
• Page Start: 26789
• Page End: 26803
• Publication Date: 2017-10-26
• Subjects: Concentrated photovoltaic -- Optimization -- Micro genetic algorithm -- CPV -- Hydrogen storage -- Electrolyser; Hydrogen as fuel -- Periodicals; Hydrogène (Combustible) -- Périodiques; Hydrogen as fuel; Periodicals; 665.81
• DOI: 10.1016/j.ijhydene.2017.08.186
• Languages: English
• ISSNs: 0360-3199

Abstract

Abstract: Despite highest energy potential, solar energy is only available during diurnal period with varying intensity. Therefore, owing to solar intermittency, solar energy systems need to operate in standalone configuration for steady power supply which requires reliable and sustainable energy storage. Hydrogen production has proved to be the most reliable and sustainable energy storage option for medium and long term operation. However, at the first priority, solar energy must be captured with high efficiency, in order to reduce the overall size of the system and energy storage. Multi-junction solar cells (MJCs) provide highest energy efficiency among all of the photovoltaic technologies and the concentrated photovoltaic (CPV) system concept makes their use cost effective. However, literature is lacking the performance model and optimization strategy for standalone operation of the CPV-hydrogen system. In addition, there is no commercial tool available that can analyze CPV performance, utilizing multi-junction solar cell. This paper proposes the performance model for the CPV-hydrogen systems and the multi-objective optimization strategy for its standalone operation and techno-economic analysis, using micro genetic algorithm (micro-GA). The electrolytic hydrogen production with compression storage and fuel cell, is used as energy storage system. The CPV model is verified for the experimental data of InGaP/InGaAs/Ge triple junction solar cell. An optimal CPV system design is provided for uninterrupted power supply, even under seasonal weather variations. Such approach can be easily integrated with commercial tools and the presented performance data can be used for the design of individual components of the system. Highlights: Performance and optimization strategy for standalone CPV-hydrogen system is proposed. Multi-objective techno-economic optimization is implemented with micro-GA. System performance is analysed under different weather conditions and solar input. Proposed methodology can cover the deficiency of available commercial tools.