Optimisation of Multi-Energy Systems and Power-To-X Technologies: A Hydrogen-Based Industrial Case Study

Mikel Fernandez-Allende, Amaia Gonzalez-Garrido, Esther Torres-Iglesias

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study presents a daily cost optimization for a hybrid renewable energy system, hydrogen and battery storage, for PtX technology implementation. Using mixed-integer linear programming, this paper aims at minimising total system cost, subject to technical system constraints. This paper is focused on the modelling and optimisation of a hydrogen-based industrial case study comparing the operating strategy between a typical summer and winter day. Although RES generation is not sufficient to fully meet the energy needs of the industry, the system operation aims to reduce the daily cost. The results show a clear priority for the direct use of hydrogen over its conversion into electricity, due to its low efficiency and cost. The system successfully manages hydrogen generation, battery and production, depending on prices, while ensuring a stable industrial supply. Hydrogen storage fluctuates and tends to reduce system cost, which requires accurate management to avoid hydrogen shortages during peak demand.

Original languageEnglish
Title of host publication2025 21st International Conference on the European Energy Market, EEM 2025
PublisherIEEE Computer Society
ISBN (Electronic)9798331512781
DOIs
Publication statusPublished - 2025
Event21st International Conference on the European Energy Market, EEM 2025 - Lisbon, Portugal
Duration: 27 May 202529 May 2025

Publication series

NameInternational Conference on the European Energy Market, EEM
ISSN (Print)2165-4077
ISSN (Electronic)2165-4093

Conference

Conference21st International Conference on the European Energy Market, EEM 2025
Country/TerritoryPortugal
CityLisbon
Period27/05/2529/05/25

Keywords

  • Green Hydrogen
  • Multi-Energy Systems
  • Optimisation
  • Power-to-X
  • Sector Coupling

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