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 language | English |
|---|---|
| Title of host publication | 2025 21st International Conference on the European Energy Market, EEM 2025 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9798331512781 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 21st International Conference on the European Energy Market, EEM 2025 - Lisbon, Portugal Duration: 27 May 2025 → 29 May 2025 |
Publication series
| Name | International Conference on the European Energy Market, EEM |
|---|---|
| ISSN (Print) | 2165-4077 |
| ISSN (Electronic) | 2165-4093 |
Conference
| Conference | 21st International Conference on the European Energy Market, EEM 2025 |
|---|---|
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 27/05/25 → 29/05/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Green Hydrogen
- Multi-Energy Systems
- Optimisation
- Power-to-X
- Sector Coupling
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