Next‐generation safety‐aware cyber‐physical system integration: A <scp>proton exchange membrane</scp> water electrolysis demonstration

Abstract Next‐generation cyber‐physical process systems demand unified safety and control design protocols that seamlessly integrate hazard prevention with operational optimization. Here, we present a comprehensive safety‐aware cyber‐physical system that integrates dynamic risk assessment with multiparametric model predictive control for real‐time process operation and safety management. Our framework features a novel risk index formulation for use as a safety barrier within decision‐making. This enables automatic transitions between normal operation and safety‐critical control modes. The system architecture incorporates real‐time state estimation, dynamic risk assessment, and explicit control across the operational space. We demonstrate the implementation of this framework on a proton exchange membrane water electrolyzer, where thermal management is required to prevent membrane damage. The safety ‐ aware controller automatically activates protective cooling protocols when risk thresholds are exceeded. The controller successfully maintains safe operation while regulating hydrogen production, achieving temperature difference tracking with less than 3% overshoot and steady‐state errors below 0.3 K. The safety‐aware controller automatically activates protective cooling protocols when risk thresholds are exceeded. This work establishes a generalizable framework for safety‐aware process control that moves from reactive safety systems to proactive hazard prevention across chemical and energy systems.

Authors

Institutions

Publication Details

Journal
AIChE Journal
Published
2026-01-07
DOI
https://doi.org/10.1002/aic.70211
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Next‐generation safety‐aware cyber‐physical system integration: A proton exchange membrane water electrolysis demonstration

Y. Liu, Faisal Khan, Yuhe Tian, Shayan S. Niknezhad et al.
AIChE Journal
Hybrid Renewable Energy Systems
article

Next‐generation safety‐aware cyber‐physical system integration: A proton exchange membrane water electrolysis demonstration

Y. Liu, Faisal Khan, Yuhe Tian, Shayan S. Niknezhad, Austin Braniff, Beatriz Dantas, E.N. Pistikopoulos, Sahithi Srijana Akundi, Zhane Ann Tizon
article en

Abstract

Abstract Next‐generation cyber‐physical process systems demand unified safety and control design protocols that seamlessly integrate hazard prevention with operational optimization. Here, we present a comprehensive safety‐aware cyber‐physical system that integrates dynamic risk assessment with multiparametric model predictive control for real‐time process operation and safety management. Our framework features a novel risk index formulation for use as a safety barrier within decision‐making. This enables automatic transitions between normal operation and safety‐critical control modes. The system architecture incorporates real‐time state estimation, dynamic risk assessment, and explicit control across the operational space. We demonstrate the implementation of this framework on a proton exchange membrane water electrolyzer, where thermal management is required to prevent membrane damage. The safety ‐ aware controller automatically activates protective cooling protocols when risk thresholds are exceeded. The controller successfully maintains safe operation while regulating hydrogen production, achieving temperature difference tracking with less than 3% overshoot and steady‐state errors below 0.3 K. The safety‐aware controller automatically activates protective cooling protocols when risk thresholds are exceeded. This work establishes a generalizable framework for safety‐aware process control that moves from reactive safety systems to proactive hazard prevention across chemical and energy systems.

AIChE JournalVol. 72(4)
West Virginia University (US), Mary Kay (United States) (US), Texas A&M University (US)
Openalex Percentile: Top 94%
Hybrid Renewable Energy Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.