2026-07-22T11:38:05Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:19058 2024-03-06T11:03:23Z ddc:004 open_access

Exploring Hydrogen Supply/Demand Networks: Modeller and Domain Expert Views Klapperstueck, Matthias de Nijs, Frits Senthooran, Ilankaikone Lee-Kopij, Jack Garcia de la Banda, Maria Wybrow, Michael Facility Location Hydrogen Supply Chain Human-Centric Optimisation Energy companies are considering producing renewable fuels such as hydrogen/ammonia. Setting up a production network means deciding where to build production plants, and how to operate them at minimum electricity and transport costs. These decisions are complicated by many factors including the difficulty in obtaining accurate current data (e.g., electricity price and transport costs) for potential supply locations, the accuracy of data predictions (e.g., for demand and costs), and the need for some decisions to be made due to external (not modelled) factors. Thus, decision-makers need access to a user-centric decision system that helps them visualise, explore, interact and compare the many possible solutions of many different scenarios. This paper describes the system we have built to support our energy partner in making such decisions, and shows the advantages of having a graphical user-focused interactive tool, and of using a high-level constraint modelling language (MiniZinc) to implement the underlying model. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Matthias Klapperstueck and Frits de Nijs and Ilankaikone Senthooran and Jack Lee-Kopij and Maria Garcia de la Banda and Michael Wybrow 2023 Is Part Of LIPIcs, Volume 280, 29th International Conference on Principles and Practice of Constraint Programming (CP 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.CP.2023.21 urn:nbn:de:0030-drops-190584 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2023.21 eng https://creativecommons.org/licenses/by/4.0/legalcode