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Day-Ahead Optimization of Proton Exchange Membrane Electrolyzer Operations Considering System Efficiency and Green Hydrogen Production Constraints Imposed by the European Regulatory Framework

Author

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  • Giuseppe Graber

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy)

  • Vito Calderaro

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy)

  • Vincenzo Galdi

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy)

  • Lucio Ippolito

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy)

  • Fabrizio De Caro

    (Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy)

  • Alfredo Vaccaro

    (Department of Engineering, University of Sannio, Via Roma, 21, 82100 Benevento, BN, Italy)

Abstract

Clean hydrogen (H 2 ) use (i.e., produced using either renewable or low-carbon energy sources) can help decarbonize energy-intensive industries, the transport sector, and the power sector. The European regulatory framework establishes that the production of green H 2 must be supported either by the electricity grid through a power purchase agreement (PPA) or by intermittent renewable energy source (RES) plants owned by the hydrogen producer. Although the issue of the optimization of hydrogen production costs has already been approached, constraints related to the current regulatory framework and the modeling of nonlinear electrolyzer efficiency still represent open problems. In this paper, a mixed-integer linear programming (MILP) problem, assuming as the objective function the overall cost minimization of the allowed energy mix for green H 2 production, is formulated. Two approaches are compared: in the first one, electrolyzers can only operate at 100% load, whereas the second one allows for more flexible electrolyzer scheduling, by enabling partial-load working operations. The simulation results of several scenarios considering different H 2 production targets, forecasted RES production, and cost for PPAs demonstrate the effectiveness of the proposed methodology.

Suggested Citation

  • Giuseppe Graber & Vito Calderaro & Vincenzo Galdi & Lucio Ippolito & Fabrizio De Caro & Alfredo Vaccaro, 2024. "Day-Ahead Optimization of Proton Exchange Membrane Electrolyzer Operations Considering System Efficiency and Green Hydrogen Production Constraints Imposed by the European Regulatory Framework," Energies, MDPI, vol. 17(22), pages 1-19, November.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:22:p:5713-:d:1521545
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    References listed on IDEAS

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    1. Zhao, Pengcheng & Wang, Jingang & Xia, Haiting & He, Wei, 2024. "A novel industrial magnetically enhanced hydrogen production electrolyzer and effect of magnetic field configuration," Applied Energy, Elsevier, vol. 367(C).
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