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dc.contributor | Escuela de Ingenierias Industrial, Informática y Aeroespacial | es_ES |
dc.contributor.author | Alonso Castro, Serafín | |
dc.contributor.author | Morán Álvarez, Antonio | |
dc.contributor.author | Prada Medrano, Miguel Ángel | |
dc.contributor.author | Reguera Acevedo, Perfecto | |
dc.contributor.author | Fuertes Martínez, Juan José | |
dc.contributor.author | Domínguez González, Manuel | |
dc.contributor.other | Ingenieria de Sistemas y Automatica | es_ES |
dc.date | 19-03-02 | |
dc.date.accessioned | 2024-05-06T09:14:48Z | |
dc.date.available | 2024-05-06T09:14:48Z | |
dc.identifier.citation | Alonso, S., Morán, A., Prada, M. Á., Reguera, P., Fuertes, J. J., & Domínguez, M. (2019). A data-driven approach for enhancing the efficiency in chiller plants: A hospital case study. Energies, 12(5). https://doi.org/10.3390/EN12050827 | es_ES |
dc.identifier.issn | 1996-1073 | |
dc.identifier.uri | https://hdl.handle.net/10612/20389 | |
dc.description | This article belongs to the Special Issue Energy Performance and Indoor Climate Analysis in Buildings) | es_ES |
dc.description.abstract | [EN] Large buildings cause more than 20% of the global energy consumption in advanced countries. In buildings such as hospitals, cooling loads represent an important percentage of the overall energy demand (up to 44%) due to the intensive use of heating, ventilation and air conditioning (HVAC) systems among other key factors, so their study should be considered. In this paper, we propose a data-driven analysis for improving the efficiency in multiple-chiller plants. Coefficient of performance (COP) is used as energy efficiency indicator. Data analysis, based on aggregation operations, filtering and data projection, allows us to obtain knowledge from chillers and the whole plant, in order to define and tune management rules. The plant manager software (PMS) that implements those rules establishes when a chiller should be staged up/down and which chiller should be started/stopped according different efficiency criteria. This approach has been applied on the chiller plant at the Hospital of León. | es_ES |
dc.language | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.subject | Ingeniería de sistemas | es_ES |
dc.subject.other | Energy efficiency | es_ES |
dc.subject.other | HVAC systems | es_ES |
dc.subject.other | Chiller plants | es_ES |
dc.subject.other | Chiller performance | es_ES |
dc.subject.other | COP | es_ES |
dc.subject.other | Data-driven analysis | es_ES |
dc.title | A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.identifier.doi | 10.3390/EN12050827 | |
dc.description.peerreviewed | SI | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Programa Estatal de I+D+I Orientada a los Retos de la Sociedad/DPI2015-69891-C2-1-R/ES/TECNICAS DE MODELADO, PREDICCION Y VISUALIZACION INTERACTIVA DE DATOS PARA MEJORAR LA EFICIENCIA ENERGETICA EN EDIFICIOS E INSTALACIONES INDUSTRIALES | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Programa Estatal de I+D+I Orientada a los Retos de la Sociedad/DPI2015-69891-C2-2-R/ES/TECNICAS DE ANALITICA VISUAL PARA LA MEJORA DE LA EFICIENCIA EN PROCESOS Y EDIFICIOS | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.essn | 1996-1073 | |
dc.journal.title | Energies | es_ES |
dc.volume.number | 12 | es_ES |
dc.issue.number | 5 | es_ES |
dc.page.initial | 827 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
dc.subject.unesco | 3305.90 Transmisión de Calor en la Edificación | es_ES |
dc.description.project | This research was funded by the Spanish Ministerio de Ciencia e Innovación and the European FEDER under project CICYT DPI2015-69891-C2-1-R/2-R. | es_ES |
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