ABSTRACT
For the optimization of renewable energy systems, uncertainties associated to technical and economic parameters are scarcely taken into account, which may lead to a weak confidence in results. In this paper, we propose and investigate a 4-steps methodology for uncertainty sensitivity assessment, with the objective to improve confidence in the assessment results and to support decision-making process following techno-economic optimization of the design and the operation of an autonomous power system. The methodology is applied to off-grid system including photovoltaic production, battery and hydrogen components (electrolyser, pressure storage and fuel cell). This energy system is modelled and optimized with Odyssey—a simulation software developed by CEA-LITEN since 2010. We focus on static parametrical uncertainties, linked to the energy system parameters.
