dc.creator | Masero Rubio, Eva | es |
dc.creator | Domínguez Frejo, José Ramón | es |
dc.creator | Maestre Torreblanca, José María | es |
dc.creator | Camacho, Eduardo F. | es |
dc.date.accessioned | 2021-05-06T16:08:42Z | |
dc.date.available | 2021-05-06T16:08:42Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Masero Rubio, E., Domínguez Frejo, J.R., Maestre Torreblanca, J.M. y Fernández Camacho, E. (2021). A light clustering model predictive control approach to maximize thermal power in solar parabolic-trough plants. Solar Energy, 214, 531-541. | |
dc.identifier.issn | 0003-701X | es |
dc.identifier.uri | https://hdl.handle.net/11441/108674 | |
dc.description.abstract | This article shows how coalitional model predictive control (MPC) can be used to maximize thermal power of large-scale solar parabolic-trough plants. This strategy dynamically generates clusters of loops of collectors according to a given criterion, thus dividing the plant into loosely coupled subsystems that are locally controlled by their corresponding loop valves to gain performance and speed up the computation of control inputs. The proposed strategy is assessed with decentralized and centralized MPC in two simulated solar parabolic-trough fields. Finally, results regarding scalability are also given using these case studies. | es |
dc.description.sponsorship | Unión Europea 789051 | es |
dc.description.sponsorship | Ministerio de Economía DPI2017-86918-R | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades IJC2018-035395-I | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades FPU18/04476 | es |
dc.format | application/pdf | es |
dc.format.extent | 11 p. | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | Solar Energy, 214, 531-541. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Model predictive control | es |
dc.subject | Control by clustering | es |
dc.subject | Coalitional control | es |
dc.subject | Non-linear system | es |
dc.subject | Distributed solar collector field | es |
dc.subject | Thermal power | es |
dc.title | A light clustering model predictive control approach to maximize thermal power in solar parabolic-trough plants | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/embargoedAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | 789051 | es |
dc.relation.projectID | DPI2017-86918-R | es |
dc.relation.projectID | IJC2018-035395-I | es |
dc.relation.projectID | FPU18/04476 | es |
dc.date.embargoEndDate | 2022-01-15 | |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0038092X20312160#! | es |
dc.identifier.doi | 10.1016/j.solener.2020.11.056 | es |
dc.journaltitle | Solar Energy | es |
dc.publication.volumen | 214 | es |
dc.publication.initialPage | 531 | es |
dc.publication.endPage | 541 | es |