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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2025 21st International Conference on the European Energy Market, EEM 2025
EditorialIEEE Computer Society
ISBN (versión digital)9798331512781
DOI
EstadoPublicada - 2025
Evento21st International Conference on the European Energy Market, EEM 2025 - Lisbon, Portugal
Duración: 27 may 202529 may 2025

Serie de la publicación

NombreInternational Conference on the European Energy Market, EEM
ISSN (versión impresa)2165-4077
ISSN (versión digital)2165-4093

Conferencia

Conferencia21st International Conference on the European Energy Market, EEM 2025
País/TerritorioPortugal
CiudadLisbon
Período27/05/2529/05/25

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 7: Energía asequible y no contaminante
    ODS 7: Energía asequible y no contaminante

Huella

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