Abstract
The approach developed aims to identify the methodology that will be used to deliver the minimum cost for hydrogen infrastructure deployment using a mono-objective linear optimisation. It focuses on minimizing both capital and operation costs of the hydrogen transportation based on transportation via truck which represents the main focus of this paper and a cost-minimal pipeline system in the case of France and Germany. The paper explains the mathematical model describing the link between the hydrogen production via electrolysers and the distribution for mobility needs. The main parameters and the assumed scenario framework are explained. Subsequently, the transportation of hydrogen via truck using different states of aggregation is analysed, as well as the transformation and storage of hydrogen. This is used finally to build a linear programming aiming to minimize the sum of costs of hydrogen transportation between the different nodes and transformation/storage within the nodes.
| Original language | English |
|---|---|
| Pages (from-to) | 2072-2079 |
| Number of pages | 8 |
| Journal | Energy Procedia |
| Volume | 142 |
| DOIs | |
| Publication status | Published - 1 Jan 2017 |
| Event | 9th International Conference on Applied Energy, ICAE 2017 - Cardiff, United Kingdom Duration: 21 Aug 2017 → 24 Aug 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Hydrogen
- compression
- cost optimisation
- infrastructure
- liquefaction
- storage
- transportation
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