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dc.contributor.author | Ramos-Escudero, Adela | es_ES |
dc.contributor.author | Garcia-Cascales, M. Socorro | es_ES |
dc.contributor.author | Cuevas Castell, José Manuel | es_ES |
dc.contributor.author | Sanner, Burkhard | es_ES |
dc.contributor.author | Urchueguía Schölzel, Javier Fermín | es_ES |
dc.date.accessioned | 2022-06-27T18:06:41Z | |
dc.date.available | 2022-06-27T18:06:41Z | |
dc.date.issued | 2021-04 | es_ES |
dc.identifier.issn | 0960-1481 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/183621 | |
dc.description.abstract | [EN] Shallow Geothermal Energy (SGE) exploited by vertical close loop Ground Source Heat Pumps (GSHP) is a proven, reliable, and widespread renewable heating and cooling technology. However, in many regions there is still a lack of awareness among policy makers and end users, constituting a major constraint to wider deployment of SGE. In order to contribute to its market consolidation, this work focuses on bringing to light relevant spatial information affecting the suitability of SGE exploitation. This information is the result of the systematization of geological, climatic, and environmental open and available data translated into performance indicators. A set of thematic maps was created using Geographic Information Systems (GIS) comprising the European Member States and other European countries. The relative area and the amount of population affected per indicator was spatially analyzed to determine the most common values found and the affected population. The relationship between area percentage and population affected percentage per indicator was also analyzed and allowed to identify the most common indicators values in areas where high energy demands are expected. Additionally, an example of how this data can be used into a Multi-Criteria Decision-Making (MCDM) framework is shown. (c) 2020 Elsevier Ltd. All rights reserved. | es_ES |
dc.description.sponsorship | This work was partially supported by the Spanish Ministry of Economy and Competitiveness (MINECO), reference TIN2017-86647-P. The authors also acknowledge the support of the Fundacion Seneca (Region of Murcia, Spain through the Grant 19882-GERM-15. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Renewable Energy | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Renewable heating and cooling | es_ES |
dc.subject | GIS | es_ES |
dc.subject | Multi-criteria decision-making | es_ES |
dc.subject | Continental scale | es_ES |
dc.subject.classification | FISICA APLICADA | es_ES |
dc.title | Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.renene.2020.11.081 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-86647-P/ES/ANALISIS DE MODELOS DE MOVILIDAD Y ENERGIAS RENOVABLES BASADOS EN INTELIGENCIA COMPUTACIONAL: APLICACIONES EN EL AMBITO DE LAS CIUDADES SOSTENIBLES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/f SéNeCa//19882-GERM-15/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/727583/EU | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada | es_ES |
dc.description.bibliographicCitation | Ramos-Escudero, A.; Garcia-Cascales, MS.; Cuevas Castell, JM.; Sanner, B.; Urchueguía Schölzel, JF. (2021). Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale. Renewable Energy. 167:266-281. https://doi.org/10.1016/j.renene.2020.11.081 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.renene.2020.11.081 | es_ES |
dc.description.upvformatpinicio | 266 | es_ES |
dc.description.upvformatpfin | 281 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 167 | es_ES |
dc.relation.pasarela | S\432215 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | COMISION DE LAS COMUNIDADES EUROPEA | es_ES |
dc.contributor.funder | Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia | es_ES |
dc.subject.ods | 07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos | es_ES |