ClimateOpenAlex
Heuristic editor, no API keyVerdict: NotableMulti-electrolyzer system energy management strategy incorporating cold-hot start for improving green hydrogen production and electrolyzer lifespan
This study proposes a predictive rolling optimization-based load-balancing energy management strategy (EMS#4) for a wind turbine (WT)-driven multi-electrolyzer H 2 production system.
Key numbers
- 0.8% compared to EMS
- 3.62% relative to EMS
VerdictWorth a reader's time today.
Abstract
This study proposes a predictive rolling optimization-based load-balancing energy management strategy (EMS#4) for a wind turbine (WT)-driven multi-electrolyzer H 2 production system. The strategy is designed to improve hydrogen (H2) production, electrolyzer (EL) cluster efficiency, maximize WT power utilization, achieve balanced load distribution among EL units, and extend the operational lifetime of the EL cluster. The main contributions of this study include the integration of a first-principles proton-exchange membrane EL model to capture detailed electro-thermal dynamics, temperature-dependent efficiency variations, and transient operating characteristics. In addition, a five-state EL transition model comprising of off, cold, hot, standby, and production states is introduced to realistically represent EL start-up, shutdown, standby, and load fluctuation dynamics. The proposed EMS#4 comprises three coordinated layers: (i) an EL state-management layer that regulates EL transitions through thermal thresholds, start-up constraints, and power hysteresis mechanisms; (ii) a predictive rolling optimization-based load balancing scheduling that determines the optimal numbers of active EL units and allocates available WT power dynamically; and (iii) a performance evaluation layer that updates WT power curtailment, EL temperature evolution, and H 2 production. Simulation results show that EMS#4 consistently outperforms benchmark strategies, including equal power sharing (EMS#1), daisy-chain operation (EMS#2), rapid start-up with equal power sharing (EMS#3), and lifetime balancing rotational control strategy (EMS#5). The proposed strategy achieves the highest H 2 production, WT power utilization, and overall system efficiency, while simultaneously minimizing unused WT energy and mitigating EL cluster equivalent lifetime degradation. For the annual multi-EL system evaluation, EMS#4 improves system efficiency by 5.4%, 3.8%, 1.5, and 0.8% compared to EMS#1, EMS#2, EMS#3, and EMS#5, respectively. It achieves an annual H 2 production of 434,912 kg, exceeding EMS#1, EMS#2, EMS#3, and EMS#5 by 4697 kg, 3349 kg, 1579 kg, 1734 kg, respectively. Furthermore, EMS#4 increases WT power utilization by 3109 MWh, 2805 MWh, 315 MWh, and 78 MWh compared with the corresponding benchmark strategies. In addition, the proposed strategy reduces EL cluster lifetime loss by 3.36%, 19.77%, 5.27%, and 3.62% relative to EMS#1-EMS#3 and EMS#5 benchmarks, respectively.
The editor's rubric
| Dimension | Level | Weight | What that level means |
|---|---|---|---|
| Leverage | ███░░ 3 | 16% | A method or resource many groups across the field will adopt within a year. |
| Magnitude | ███░░ 3 | 20% | Large gain: roughly 2x, or a clear new state of the art on a hard, unsaturated problem. |
| Evidence | ███░░ 3 | 20% | Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data. |
| Novelty | ██░░░ 2 | 10% | A new combination of known ideas. |
| Trajectory | ███░░ 3 | 14% | A clear path to scale. |
| Stakes | ██░░░ 2 | 20% | Benefits a professional community (practitioners, clinicians, engineers). |
Editor’s rationale
Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: breadth (many tasks); gains (relative gain, outperforms); verification (multiple benchmarks); scale (efficient); stakes (energy).
How the score was computed
- Merit
- 5.4 / 10
- Adjusted merit
- 4.6 / 10
- Attention
- 0%
- Freshness
- 79%
- Citations0 (reference 15, via openalex, Oct 8, 2026, 07:29 UTC)