Multistage stochastic optimization of a mono-site hydrogen infrastructure by decomposition techniques
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913410686386176 |
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| author | Lefgoum, Raian Afsar, Sezin Carpentier, Pierre Chancelier, Jean-Philippe de Lara, Michel |
| author_facet | Lefgoum, Raian Afsar, Sezin Carpentier, Pierre Chancelier, Jean-Philippe de Lara, Michel |
| contents | The development of hydrogen infrastructures requires to reduce their costs. In this paper, we develop a multistage stochastic optimization model for the management of a hydrogen infrastructure which consists of an electrolyser, a compressor and a storage to serve a transportation demand. This infrastructure is powered by three different sources: on-site photovoltaic panels (PV), renewable energy through a power purchase agreement (PPA) and the power grid. We consider uncertainties affecting on-site photovoltaic production and hydrogen demand. Renewable energy sources are emphasized in the hydrogen production process to ensure eligibility for a subsidy, which is awarded if the proportion of nonrenewable electricity usage stays under a predetermined threshold. We solve the multistage stochastic optimization problem using a decomposition method based on Lagrange duality. The numerical results indicate that the solution to this problem, formulated as a policy, achieves a small duality gap, thus proving the effectiveness of this approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_01053 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multistage stochastic optimization of a mono-site hydrogen infrastructure by decomposition techniques Lefgoum, Raian Afsar, Sezin Carpentier, Pierre Chancelier, Jean-Philippe de Lara, Michel Optimization and Control The development of hydrogen infrastructures requires to reduce their costs. In this paper, we develop a multistage stochastic optimization model for the management of a hydrogen infrastructure which consists of an electrolyser, a compressor and a storage to serve a transportation demand. This infrastructure is powered by three different sources: on-site photovoltaic panels (PV), renewable energy through a power purchase agreement (PPA) and the power grid. We consider uncertainties affecting on-site photovoltaic production and hydrogen demand. Renewable energy sources are emphasized in the hydrogen production process to ensure eligibility for a subsidy, which is awarded if the proportion of nonrenewable electricity usage stays under a predetermined threshold. We solve the multistage stochastic optimization problem using a decomposition method based on Lagrange duality. The numerical results indicate that the solution to this problem, formulated as a policy, achieves a small duality gap, thus proving the effectiveness of this approach. |
| title | Multistage stochastic optimization of a mono-site hydrogen infrastructure by decomposition techniques |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2407.01053 |