Energy system-oriented identification of hydrogen storage supply scenarios: method development and application within the Digi-HyPro Project
Year: 2024
Type: article
Abstract: Effective hydrogen storage is vital for the widespread adoption of hydrogen in energy systems, as it enables flexibility across various sectors. However, assessing such energy storage systems' suitability in future energy system configurations presents several challenges. One such challenge is the identification of representative operational scenarios for experimental testing of storage systems. Against this background, this paper presents an approach to derive such operational scenarios with the help of energy system modelling and optimization. Using the open-source energy system model and data set of Europe, PyPSA-Eur, cost-optimal future energy system configurations are identified, allowing the derivation of operational scenarios for energy storage facilities from the operation of the overall energy system. For this purpose, the methodology provides a way to identify a representative storage system from the entirety of corresponding storages in the energy system. Further, it allows determining representative time series sections using a segment identification algorithm, providing a basis for experimental technology testing. For an exemplary application of this methodology, further post-processing is implemented to consider the feasibility limits of subsystem components. The results showcase the effectiveness of the approach, offering a transparent and reproducible framework for defining operational scenarios for storage testing aligned with future energy system requirements.
Source: OpenHSU
DOI: 10.24405/16773
Authors: Lange, Jelto, Kaltschmitt, Martin, Puszkiel, Julián, Covarrubias, Myriam, Fleming, Lukas, Kaufmann, Thomas, Krause, Phillip, Warfsmann, Jan Hendrik, Wienken, Eike Steffen, Wildner, Lukas, Klassen, Thomas, Jepsen, Julian, Reininghaus, Nies, Pistoor, Astrid, Muñoz Robinson, Carlos, Kröner, Michael, Dyck, Alexander
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6907627807
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