Optimizing Electrolyzers: Simultaneous Degradation Minimization and Hydrogen Flow Maximization with Mixed-Integer Programming

We present a comprehensive framework for the simultaneous hydrogen flow maximization and degradation mitigation using mixed integer programming in proton exchange membrane electrolyzers. Our approach begins by modeling the electrolyzer as a linear representation that aligns with available data. We then introduce a novel method for quantifying the costs associated with electrolyzer shutdowns and startups, recognizing their impact on degradation. Finally, we introduce an optimization framework for simultaneous hydrogen flow maximization and degradation minimization using mixed integer linear programming. Our findings offer valuable insights into operational strategies for electrolyzers powered by wind energy across various regions within the United States.