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arXiv · 2507.03553

Model-Based Control for Power-to-X Platforms: Knowledge Integration for Digital Twins

Daniel Dittler·Peter Frank·Gary Hildebrandt·Luisa Peterson·Nasser Jazdi·Michael Weyrich
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Abstract

Offshore Power-to-X platforms enable flexible conversion of renewable energy, but place high demands on adaptive process control due to volatile operating conditions. To face this challenge, using Digital Twins in Power-to-X platforms is a promising approach. Comprehensive knowledge integration in Digital Twins requires the combination of heterogeneous models and a structured representation of model information. The proposed approach uses a standardized description of behavior models, semantic technologies and a graph-based model understanding to enable automatic adaption and selection of suitable models. It is implemented using a graph-based knowledge representation with Neo4j, automatic data extraction from Asset Administration Shells and port matching to ensure compatible model configurations.

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Daniel Dittler, Peter Frank, Gary Hildebrandt, Luisa Peterson, Nasser Jazdi, Michael Weyrich. 2025-07-04. Model-Based Control for Power-to-X Platforms: Knowledge Integration for Digital Twins. https://arxiv.org/abs/2507.03553

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