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Multi-objective optimization of direct coupling photovoltaic-electrolyzer systems using imperialist competitive algorithm

Maroufmashat, A ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1115/IMECE2014-39765
  3. Abstract:
  4. Photovoltaic-electrolyzer systems are one of the most promising alternatives for obtaining hydrogen from a renewable energy source. Determining size and the operational conditions are always a key issue while coupling directly renewable electricity sources to PEM electrolyzer. In this research, the multi objective optimization approach based on an imperialist competitive algorithm (ICA), which is employed to optimize the size and the operating conditions of a directly coupled photovoltaic (PV)-PEM electrolyzer. This allows the optimization of the system by considering two different objectives, including, minimization of energy transfer loss and maximization of hydrogen generation. Multi objective optimization of PV/EL system predicts a maximum hydrogen production of 7930 gr/yr for energy transfer loss of 16.48 kWh/yr and minimum energy transfer loss of 5.21 kWh/yr at a hydrogen production rate of 7760 gr/yr for a the given location and the PV module
  5. Keywords:
  6. Algorithms ; Electrolytic cells ; Energy transfer ; Hydrogen production ; Optimization ; Photovoltaic cells ; Renewable energy resources ; Hydrogen generations ; Hydrogen production rate ; Imperialist competitive algorithm (ICA) ; Imperialist competitive algorithms ; Operating condition ; Operational conditions ; Renewable electricity ; Renewable energy source ; Multiobjective optimization
  7. Source: ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) ; Vol. 6A , November , 2014
  8. URL: http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2205001