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Pré-Publication, Document De Travail Année : 2024

Multistage stochastic optimization of a mono-site hydrogen infrastructure by decomposition techniques

Résumé

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.
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Dates et versions

hal-04629058 , version 1 (28-06-2024)

Identifiants

  • HAL Id : hal-04629058 , version 1

Citer

Raian Lefgoum, Sezin Afsar, Pierre Carpentier, Jean-Philippe Chancelier, Michel de Lara. Multistage stochastic optimization of a mono-site hydrogen infrastructure by decomposition techniques. 2024. ⟨hal-04629058⟩
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