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dc.contributor.author | Tarragona, Joan![]() |
es_ES |
dc.contributor.author | Pisello, Anna Laura![]() |
es_ES |
dc.contributor.author | Fernández, César![]() |
es_ES |
dc.contributor.author | Cabeza, Luisa F.![]() |
es_ES |
dc.contributor.author | Payá-Herrero, Jorge![]() |
es_ES |
dc.contributor.author | Marchante-Avellaneda, Javier![]() |
es_ES |
dc.contributor.author | de Gracia, Álvaro![]() |
es_ES |
dc.date.accessioned | 2022-02-16T19:03:43Z | |
dc.date.available | 2022-02-16T19:03:43Z | |
dc.date.issued | 2022-01-15 | es_ES |
dc.identifier.issn | 0360-5442 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/180902 | |
dc.description.abstract | [EN] The present study analyses the performance of a heating system controlled by a model predictive control strategy, where the impact of different combinations of thermal energy storage tank volumes and installed PV power capacities are analysed. The novelty of the paper lies in studying both economic and energy impacts of each equipment combination in different locations, buildings, and indoor occupancy schedules. The payback period, the reduction of the electricity grid consumption, and the behaviour of the coefficient of performance of the heat pump are studied in detail for all cases. Results point out that from an economic point of view, to invest in a thermal energy storage tank provides shorter payback periods in comparison to scenarios with PV panels, due to the high price of the solar elements. However, the energy performance analysis highlighted that the use of PV panels contributes to achieve up to 34%, 54%, and 90% of reduction of the electricity grid consumption in Helsinki, Strasbourg, and Athens, respectively. Finally, it is worth noting that the increase of the thermal energy storage volume improves the coefficient of performance of the heat pump. | es_ES |
dc.description.sponsorship | This work was partially funded by the Ministerio de Ciencia, Innovacion y Universidades de Espana (RTI2018-093849-B-C31-MCIU/AEI/FEDER, UE) and the Agencia Estatal de Investigacion (AEI) (RED2018-102431-T) . The authors would like to thank the Catalan Government for the quality accreditation given to their research group (2017 SGR 1537) . GREiA is a certified TECNIO agent in the category of technology developers from the Government of Catalonia. This work is partially supported by ICREA under the ICREA Academia programme. A.L. Pisello's acknowledgements are due to the National Ministry of Research for supporting NEXT.COM project under the framework of PRIN 2017 (cod. 20172FSCH4_002) and the IEA EBC Annex 79 "Occupant-centric building design and operation" for inspiring human-centric research. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Energy | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Thermal energy storage | es_ES |
dc.subject | Model predictive control | es_ES |
dc.subject | Building energy management | es_ES |
dc.subject | Occupancy patterns | es_ES |
dc.subject.classification | MAQUINAS Y MOTORES TERMICOS | es_ES |
dc.title | Analysis of thermal energy storage tanks and PV panels combinations in different buildings controlled through model predictive control | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.energy.2021.122201 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093849-B-C31/ES/METODOLOGIA PARA EL ANALISIS DE TECNOLOGIAS DE ALMACENAMIENTO DE ENERGIA TERMICA HACIA UNA ECONOMIA CIRCULAR/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//RED2018-102431-T/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MIUR//20172FSCH4_002/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Termodinámica Aplicada - Departament de Termodinàmica Aplicada | es_ES |
dc.description.bibliographicCitation | Tarragona, J.; Pisello, AL.; Fernández, C.; Cabeza, LF.; Payá-Herrero, J.; Marchante-Avellaneda, J.; De Gracia, Á. (2022). Analysis of thermal energy storage tanks and PV panels combinations in different buildings controlled through model predictive control. Energy. 239(Part C):1-14. https://doi.org/10.1016/j.energy.2021.122201 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.energy.2021.122201 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 14 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 239 | es_ES |
dc.description.issue | Part C | es_ES |
dc.relation.pasarela | S\448287 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Ministero dell'Istruzione dell'Università e della Ricerca | es_ES |