@inproceedings{63b87f36f5454c718a94d726edda2aa4,
title = "Assessing Resource Availability in Floodwater Systems for Use in Power-To-X Technologies",
abstract = "Recent research works show Power-to-X is gaining momentum as a viable solution to the renewable energy storage problem. In solutions where the storage process is water intensive, for instance power to hydrogen, models are used to predict and provide input to decision makers about the feasibility of storing energy for given scenarios and whether the process would require the usage of water supplies reserved for human consumption. This paper reports on a model developed in the context of a research project aiming to assert whether the floodwater resources, which are currently available in the Lemvig region of Denmark, are enough to supply the demand of storing clean energy as hydrogen. Our model uses data from from seven floodwater pumps in the region and simulations are used to calculate the size of reservoir needed to supply a 500MW electrolyzer. Our simulations show it is possible to address the water needs for the scenarios under analysis, and we expect our model to generalise and evolve by application in other cases.",
keywords = "Energy, Floodwater, Hydrogen production, Modeling and simulation, Power-to-X, Sekundavand, Water, Water electrolysis",
author = "Jensen, {Lucas Bjarke} and {Jonas Lund}, {Jonas Lund} and Pernille Pedersen and Macedo, {Hugo Daniel}",
year = "2023",
doi = "10.46354/i3m.2023.emss.023",
language = "English",
series = "Proceedings of the european modeling and simulation symposium",
editor = "Affenzeller, {Michael } and {G. Bruzzone}, {Agostino } and Jimenez, {Emilio } and Longo, {Francesco } and Petrillo, {Antonella }",
booktitle = "Proceedings of the 35th European Modeling & Simulation Symposium (EMSS 2023)",
}