dc.creator | Gallego Len, Antonio Javier | es |
dc.creator | Macías, Manuel | es |
dc.creator | Castilla, Fernando de | es |
dc.creator | Sánchez, Adolfo J. | es |
dc.creator | Camacho, Eduardo F. | es |
dc.date.accessioned | 2022-07-04T10:59:19Z | |
dc.date.available | 2022-07-04T10:59:19Z | |
dc.date.issued | 2022-06 | |
dc.identifier.citation | Gallego Len, A.J., Macías, M., Castilla, F.d., Sánchez, A.J. y Camacho, E.F. (2022). Model Predictive Control of the Mojave solar trough plants. Control Engineering Practice, 123, 105140. | |
dc.identifier.issn | 0967-0661 | es |
dc.identifier.uri | https://hdl.handle.net/11441/134959 | |
dc.description.abstract | The size of the current commercial solar trough plants poses new challenges in the applications of advanced control strategies. Ensuring safe operation while maintaining the temperature around an adequate set-point can lead to substantial gains in power production. Furthermore, the controller has to take into account the steam generator constraints to avoid trips leading to production losses.
Model Predictive Control algorithms have proved to perform well when controlling solar trough plants. In particular, many MPC strategies were developed and tested at the old experimental solar trough plant of ACUREX at the Plataforma Solar de Almería with excellent results.
In this paper, a Model Predictive Control algorithm is presented to control the average temperature of the large scale solar trough plants Mojave Alpha and Mojave Beta. This controller takes into account steam generator constraints in order to ensure safe operation. Several tests under different conditions have been carried out at the actual plants. Results show that the controller performs well on clear and cloudy days in spite of the great size of these plants. | es |
dc.description.sponsorship | Unión Europea - Consejo Europeo de Investigación (ERC) 789051 | es |
dc.format | application/pdf | es |
dc.format.extent | 10 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Control Engineering Practice, 123, 105140. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Solar energy | es |
dc.subject | Model Predictive Control | es |
dc.subject | Solar trough | es |
dc.subject | Large scale | es |
dc.title | Model Predictive Control of the Mojave solar trough plants | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | 789051 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0967066122000491 | es |
dc.identifier.doi | 10.1016/j.conengprac.2022.105140 | es |
dc.contributor.group | Universidad de Sevilla. TEP116: Automática y robótica industrial | es |
idus.validador.nota | Open access article under the CC BY-NC-ND license. | es |
dc.journaltitle | Control Engineering Practice | es |
dc.publication.volumen | 123 | es |
dc.publication.initialPage | 105140 | es |