Abstract
Electricity cost and equipment degradation remain key barriers to competitive hydrogen production via water electrolysis. Current electrolyzers are typically optimized within a single electricity market, leaving unresolved how cross-market coordination affects their degradation behavior and techno-economic performance. Here, we show that flexible proton exchange membrane (PEM) electrolyzers can reduce hydrogen production costs by coordinating participation in day-ahead and real-time markets. We develop a multiscale model predictive control framework that jointly optimizes electricity procurement and electrolyzer operation while explicitly accounting for high-fidelity electrochemical behavior and membrane degradation. The controller aligns hourly day-ahead commitments with high-frequency real-time adjustments, enabling exploitation of intermarket price differentials under rigorous operational and durability constraints. Using year-long Texas grid data, we demonstrate electricity cost reductions up to fourfold. Moreover, degradation-aware operation shifts electrolyzer loading toward low-wear regimes, showing that dynamic market-responsive operation can simultaneously lower costs and extend component lifetime. © 2026 American Chemical Society.
| Original language | English |
|---|---|
| Pages (from-to) | 5643–5651 |
| Number of pages | 9 |
| Journal | ACS Energy Letters |
| Volume | 11 |
| Issue number | 8 |
| Online published | 23 Jul 2026 |
| DOIs | |
| Publication status | Published - 14 Aug 2026 |
Funding
J.M. was supported by the start-up grant from City University of Hong Kong under Grant No. 9610711. H.S. was supported by the Natural Science Foundation of Shanghai under Grant No. 25ZR1402022; the Explorers Program of Shanghai (Basic Research Funding) under Grant No. 24TS1410200; the Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China under Grant No. JYB2025XDXM408; and the Science and Technology Commission of Shanghai Municipality under Grant No. 25PY2600100.
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