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.
@article{arxiv.2407.01053,
title = {Multistage stochastic optimization of a mono-site hydrogen infrastructure by decomposition techniques},
author = {Raian Lefgoum and Sezin Afsar and Pierre Carpentier and Jean-Philippe Chancelier and Michel de Lara},
journal= {arXiv preprint arXiv:2407.01053},
year = {2024}
}