Abstract
This paper presents a framework to scale alkaline electrolyzer models used in digital real-time simulation environments. Models for 100-kW, 1-MW, and 1.5-MW electrolyzers are presented, emphasizing key parameters at the cell and stack levels. Two scenarios are simulated to evaluate the performance of the models developed with this framework: stand-alone operation and grid-connected operation. This framework helps scale the electrolyzer models in digital real-time simulators used for hydrogen production in various power-to-X applications and their role in grid flexibility. In addition, improvements in the converter modeling and DC/DC integration are discussed. These improvements will enhance the stability of the models and their reusability for grid impact studies. Also addressed are key limitations, including simplified power electronics modeling, the absence of experimental validation, and economic feasibility considerations.
| Original language | American English |
|---|---|
| Number of pages | 5 |
| DOIs | |
| State | Published - 2025 |
| Event | IEEE PES ISGT EUROPE 2025 - Valletta, Malta Duration: 20 Oct 2025 → 23 Oct 2025 |
Conference
| Conference | IEEE PES ISGT EUROPE 2025 |
|---|---|
| City | Valletta, Malta |
| Period | 20/10/25 → 23/10/25 |
NLR Publication Number
- NREL/CP-5D00-94767
Keywords
- alkaline electrolyzer (AEL)
- digital real-time simulation (DRTS)
- grid integration
- hydrogen production
- power-to-X (PtX)
Fingerprint
Dive into the research topics of 'Scaling Digital Real-Time Models of Alkaline Electrolyzers for Power Grid Integration'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver