Evolutionary design optimization of an alkaline water electrolysis cell for hydrogen production

Fabrizio Ganci, Rosalinda Inguanta, Mathieu Sellier, Myeongsub Kim, Damien Le Bideau, Olivier Chocron, Mohamed Benbouzid, Patrice Kiener, Philippe Mandin

Research output: Contribution to journalArticlepeer-review


Hydrogen is an excellent energy source for long-term storage and free of greenhouse gases. However, its high production cost remains an obstacle to its advancement. The two main parameters contributing to the high cost include the cost of electricity and the cost of initial financial investment. It is possible to reduce the latter by the optimization of system design and operation conditions, allowing the reduction of the cell voltage. Because the CAPEX (initial cost divided by total hydrogen production of the electrolyzer) decreases according to current density but the OPEX (operating cost depending on the cell voltage) increases depending on the current density, there exists an optimal current density. In this paper, a genetic algorithm has been developed to find the optimal evolution parameters and to determine an optimum electrolyzer design. The optimal current density has been increased by 10% and the hydrogen cost has been decreased by 1%
Original languageEnglish
Pages (from-to)1-30
Number of pages30
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • General Materials Science
  • Instrumentation
  • General Engineering
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes


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