2026-06-04T01:43:01Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/363692026-02-03T11:10:46Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc De-la-Torre-Fazio, Sebastián Bienvenido author González-González, José Manuel author Aguado-Sánchez, José Antonio author Martín-Rivas, Sebastián author 2019-01-17 The problem of sizing an electrochemical energy storage system for renewable energy integration is a complex task. There are several system input parameters that must be taken into account for a correct design. Among them, the ageing characteristic of the technology, the service that the system provides, i.e. the power profile that the system faces and the desired C-rate are considered. A simple solution for this problem is not available in the literature. This study presents a simple yet robust optimisation-based model for renewable energy integration. The model explicitly takes into account the intrinsic battery ageing process. The authors propose a formulation for the optimisation problem that can be written in terms of just one continuous variable, namely, the amount of energy that the battery is able to store (battery size); using the proposed procedure, solving the problem obtained is a relatively straightforward task. Results are first discussed using an illustrative example and later extended to two real case studies. de la Torre, S., González-González, J.M., Aguado, J.A. and Martín, S. (2019), Optimal battery sizing considering degradation for renewable energy integration. IET Renewable Power Generation, 13: 572-577. https://doi.org/10.1049/iet-rpg.2018.5489 https://hdl.handle.net/10630/36369 10.1049/iet-rpg.2018.5489 Aprendizaje automático (Inteligencia artificial) Baterías de acumuladores Optimal battery sizing considering degradation for renewable energy integration