Optimal battery sizing considering degradation for renewable energy integration
| dc.centro | Escuela de Ingenierías Industriales | es_ES |
| dc.contributor.author | De-la-Torre-Fazio, Sebastián Bienvenido | |
| dc.contributor.author | González-González, José Manuel | |
| dc.contributor.author | Aguado-Sánchez, José Antonio | |
| dc.contributor.author | Martín-Rivas, Sebastián | |
| dc.date.accessioned | 2025-01-15T12:07:36Z | |
| dc.date.available | 2025-01-15T12:07:36Z | |
| dc.date.issued | 2019-01-17 | |
| dc.departamento | Ingeniería Eléctrica | |
| dc.description.abstract | 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. | es_ES |
| dc.description.sponsorship | This work has been partially funded by project ENE2016-80638-R granted by Ministerio de Economía y Competitividad of the Governement of Spain. | es_ES |
| dc.identifier.citation | 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 | es_ES |
| dc.identifier.doi | 10.1049/iet-rpg.2018.5489 | |
| dc.identifier.uri | https://hdl.handle.net/10630/36369 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Institution of Engineering and Technology (IET) | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Aprendizaje automático (Inteligencia artificial) | es_ES |
| dc.subject | Baterías de acumuladores | es_ES |
| dc.subject.other | Battery sizing | es_ES |
| dc.subject.other | Degradation | es_ES |
| dc.subject.other | Renewable Energy Integration | es_ES |
| dc.subject.other | Optimization | es_ES |
| dc.title | Optimal battery sizing considering degradation for renewable energy integration | es_ES |
| dc.type | journal article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 4389c309-5ca0-4cba-91dd-c35a628e743a | |
| relation.isAuthorOfPublication | 2b4900cf-5dd5-4821-825c-5ec42ac0a2cc | |
| relation.isAuthorOfPublication | 2fb86349-b77f-4f6b-8b33-cf437984cfba | |
| relation.isAuthorOfPublication | 2d263ae0-a497-4fbf-ba6a-f82ba1dae2dc | |
| relation.isAuthorOfPublication.latestForDiscovery | 4389c309-5ca0-4cba-91dd-c35a628e743a |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 7-------IET Renewable Power Gen - 2019 - Torre - Optimal battery sizing considering degradation for renewable energy integration-2.pdf
- Size:
- 2.09 MB
- Format:
- Adobe Portable Document Format
- Description:
- Artículo
Description: Artículo

