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Exploiting Electrolyzer Flexibility across Multiscale Energy Markets

  • Zhichao Chen
  • , Hongyuan Sheng
  • , Mingxu Yang
  • , Hui Geng
  • , Hao Wang
  • , Jiaze Ma*
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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 languageEnglish
Pages (from-to)5643–5651
Number of pages9
JournalACS Energy Letters
Volume11
Issue number8
Online published23 Jul 2026
DOIs
Publication statusPublished - 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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