Título
A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Energies
Número de la revista
5
Datos de la obra
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
Editor
MDPI
Fecha
19-03-02
ISSN
1996-1073
Descripción física
This article belongs to the Special Issue Energy Performance and Indoor Climate Analysis in Buildings)
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.
Materia
Palabras clave
Idioma
eng
Tipo documental
info:eu-repo/semantics/article
Peer review
SI
ID proyecto
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 INDUSTRIALESinfo: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
URI
DOI
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