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Estimating adaptive setpoint temperatures using weather stations


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dc.creator Bienvenido-Huertas, David es
dc.creator Rubio Bellido, Carlos es
dc.creator Pérez Ordóñez, Juan Luis es
dc.creator Martínez Abella, Fernando es 2019-07-04T08:16:37Z 2019-07-04T08:16:37Z 2019-03-27
dc.identifier.citation Bienvenido-Huertas, D., Rubio Bellido, C., Pérez Ordóñez, J.L. y Martínez Abella, F. (2019). Estimating adaptive setpoint temperatures using weather stations. Energies, 12 (7), 1-47.
dc.identifier.issn 1996-1073 es
dc.description.abstract Reducing both the energy consumption and CO 2 emissions of buildings is nowadays one of the main objectives of society. The use of heating and cooling equipment is among the main causes of energy consumption. Therefore, reducing their consumption guarantees such a goal. In this context, the use of adaptive setpoint temperatures allows such energy consumption to be significantly decreased. However, having reliable data from an external temperature probe is not always possible due to various factors. This research studies the estimation of such temperatures without using external temperature probes. For this purpose, a methodology which consists of collecting data from 10 weather stations of Galicia is carried out, and prediction models (multivariable linear regression (MLR) and multilayer perceptron (MLP)) are applied based on two approaches: (1) using both the setpoint temperature and the mean daily external temperature from the previous day; and (2) using the mean daily external temperature from the previous 7 days. Both prediction models provide adequate performances for approach 1, obtaining accurate results between 1 month (MLR) and 5 months (MLP). However, for approach 2, only the MLP obtained accurate results from the 6th month. This research ensures the continuity of using adaptive setpoint temperatures even in case of possible measurement errors or failures of the external temperature probes. es
dc.description.sponsorship Spanish Ministry of Science, Innovation and Universities 00064742/ITC-20133094 es
dc.description.sponsorship Spanish Ministry of Economy, Industry and Competitiveness BIA 2017-85657-R es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher Multidisciplinary Digital Publishing Institute (MDPI) es
dc.relation.ispartof Energies, 12 (7), 1-47.
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri *
dc.subject Adaptive setpoint temperature es
dc.subject Multilayer perceptron es
dc.subject Multivariable linear regression es
dc.subject Weather station es
dc.title Estimating adaptive setpoint temperatures using weather stations es
dc.type info:eu-repo/semantics/article es
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 Construcciones Arquitectónicas II (ETSIE) es
dc.relation.projectID 00064742/ITC-20133094 es
dc.relation.projectID BIA 2017-85657-R es
dc.relation.publisherversion es
dc.identifier.doi 10.3390/en12071197 es
idus.format.extent 47 p. es
dc.journaltitle Energies es
dc.publication.volumen 12 es
dc.publication.issue 7 es
dc.publication.initialPage 1 es
dc.publication.endPage 47 es
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