Dynamic hierarchical modeling and control strategy of high temperature proton exchange electrolyzer cell system

Dongqi Zhao, Zhiping Xia, Meiting Guo, Qijiao He, Qidong Xu, Xi Li, Meng Ni

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

High temperature proton exchange membrane electrolyzer cells (HT-PEMECs) show faster reaction kinetics than the low temperature PEMECs (LT-PEMECs) and are suitable for utilizing waste heat from the industry. However, dynamic modeling and control of HT-PEMECs are still lacking, which is critical for integrating the HT-PEMECs with fluctuating renewable power. In this study, hierarchical models are developed to investigate the transient behavior of the HT-PEMEC system with hydrogen recirculation. It is observed that the maximum efficiency point of the reference power can be reached by cooperatively adjusting the current density and anode inlet gas flow rate, and the application of artificial neural networks can accurately predict the operating conditions at the points of maximum efficiency. Moreover, the proposed cooperative model predictive control strategy not only improves the efficiency (about 1.2%) during dynamic processes but also avoids the problem of reactant starvation. This study provides useful information to understand the dynamic behaviors of HT-PEMECs driven by excess renewable power.

Original languageEnglish
Pages (from-to)22302-22315
Number of pages14
JournalInternational Journal of Hydrogen Energy
Volume47
Issue number53
DOIs
Publication statusPublished - 26 Jun 2022

Keywords

  • Cooperative model predictive control
  • Hierarchical system model
  • Hydrogen recirculation system
  • Multiphysics analysis
  • System identification

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Condensed Matter Physics
  • Energy Engineering and Power Technology

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