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dc.contributor.authorSánchez-Barroso Moreno, Gonzalo-
dc.contributor.authorGonzález Domínguez, Jaime-
dc.contributor.authorFernandes, Joao Paulo Almeida-
dc.contributor.authorGarcía Sanz-Calcedo, Justo-
dc.date.accessioned2024-04-24T08:30:37Z-
dc.date.available2024-04-24T08:30:37Z-
dc.date.issued2023-
dc.identifier.issn1996-3599-
dc.identifier.urihttp://hdl.handle.net/10662/21083-
dc.descriptionOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.es_ES
dc.description.abstractThe management of water consumption in healthcare centres can have positive impacts on both the environmental performance and profitability of health systems. Computational tools assist in the decision-making process of managing the operation and maintenance of healthcare centres. This research aimed to integrate the empirical knowledge of experts in Healthcare Engineering and the historical data from 66 healthcare centres in a Fuzzy Cognitive Map. The outputs of the predictive model included water consumption, water cost, and CO2 emissions in healthcare facilities, along with eleven variables to discover the causes and consequences of water consumption in healthcare centres. A healthcare centre with about 12 350 users, located in a city that experiences an average of 1100 heating degree days, whose facilities be moderately energy-efficient contributing over 50% with renewable energies is expected to consume 8.4 dam3 of water with 32.1 k€ of cost, and contribute realising 30.8 ton CO2eq emissions. The use of Fuzzy Cognitive Maps for prediction can provide a high level of effectiveness in identifying the factors that contribute to water consumption and in designing key performance indicators to manage the environmental performance of healthcare buildings. This tool is extremely effective in enhancing the performance of the management division of health systems.es_ES
dc.description.sponsorshipThis research was supported by European Regional Development Fund (No. GR18029 and No. GR21098) through VI Regional Plan for Research, Technical Development and Innovation from the Regional Government of Extremadura (2017–2020). Author G. Sánchez-Barroso was supported by a predoctoral fellowship (No. PD18047) from Regional Government of Extremadura and European Social Fund.es_ES
dc.format.extent13 p.es_ES
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectWater consumptiones_ES
dc.subjectFuzzy cognitive mapses_ES
dc.subjectHealthcare centreses_ES
dc.subjectHealthcare engineeringes_ES
dc.subjectWater managementes_ES
dc.subjectConsumo de aguaes_ES
dc.subjectMapas cognitivos difusoses_ES
dc.subjectCentros de saludes_ES
dc.subjectIngeniería sanitariaes_ES
dc.subjectAdministracion del Aguaes_ES
dc.titleA fuzzy cognitive map-based algorithm for predicting water consumption in Spanish healthcare centreses_ES
dc.typearticlees_ES
dc.description.versionpeerReviewedes_ES
europeana.typeTEXTen_US
dc.rights.accessRightsopenAccesses_ES
dc.subject.unesco3305.38 Abastecimiento de Aguaes_ES
dc.subject.unesco3308.09 Ingeniería Sanitariaes_ES
europeana.dataProviderUniversidad de Extremadura. Españaes_ES
dc.identifier.bibliographicCitationSánchez-Barroso, G., González-Domínguez, J., Almeida-Fernandes, J.P. et al. A fuzzy cognitive map-based algorithm for predicting water consumption in Spanish healthcare centres. Build. Simul. 16, 2193–2205 (2023). https://doi.org/10.1007/s12273-023-1028-yes_ES
dc.type.versionpublishedVersiones_ES
dc.contributor.affiliationUniversidade de Évora. Portugales_ES
dc.contributor.affiliationUniversidad de Extremadura. Departamento de Expresión Gráficaes_ES
dc.relation.publisherversionhttps://link.springer.com/content/pdf/10.1007/s12273-023-1028-y.pdfes_ES
dc.identifier.doi10.1007/s12273-023-1028-y-
dc.identifier.publicationtitleBuilding Simulationes_ES
dc.identifier.publicationissue11es_ES
dc.identifier.publicationfirstpage2193es_ES
dc.identifier.publicationlastpage2205es_ES
dc.identifier.publicationvolume16es_ES
dc.identifier.e-issn1996-8744-
dc.identifier.orcid0000-0002-7006-1197es_ES
dc.identifier.orcid0000-0003-4042-1195es_ES
dc.identifier.orcid0000-0003-4449-2636es_ES
Colección:DEXGR - Artículos

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