Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale

[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 co...

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Autores: Ramos-Escudero, Adela, Garcia-Cascales, M. Socorro, Cuevas Castell, José Manuel, Sanner, Burkhard, Urchueguía Schölzel, Javier Fermín|||0000-0002-3054-3431
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/183621
Acceso en línea:https://riunet.upv.es/handle/10251/183621
Access Level:acceso abierto
Palabra clave:Renewable heating and cooling
GIS
Multi-criteria decision-making
Continental scale
FISICA APLICADA
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
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spelling Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scaleRamos-Escudero, AdelaGarcia-Cascales, M. SocorroCuevas Castell, José ManuelSanner, BurkhardUrchueguía Schölzel, Javier Fermín|||0000-0002-3054-3431Renewable heating and coolingGISMulti-criteria decision-makingContinental scaleFISICA APLICADA07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos[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.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.ElsevierDepartamento de Física AplicadaInstituto Universitario de Tecnologías de la Información y ComunicacionesEscuela Técnica Superior de Ingeniería IndustrialAgencia Estatal de InvestigaciónCOMISION DE LAS COMUNIDADES EUROPEAFundación Séneca-Agencia de Ciencia y Tecnología de la Región de MurciaRepositorio Institucional de la Universitat Politècnica de València Riunet20212021-04-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/183621reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 TIN2017-86647-P ANALISIS DE MODELOS DE MOVILIDAD Y ENERGIAS RENOVABLES BASADOS EN INTELIGENCIA COMPUTACIONAL: APLICACIONES EN EL AMBITO DE LAS CIUDADES SOSTENIBLESFundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia https://doi.org/10.13039/100007801 19882-GERM-15European Commission https://doi.org/10.13039/501100000780 H2020 727583open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1836212026-06-13T07:49:27Z
dc.title.none.fl_str_mv Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale
title Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale
spellingShingle Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale
Ramos-Escudero, Adela
Renewable heating and cooling
GIS
Multi-criteria decision-making
Continental scale
FISICA APLICADA
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
title_short Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale
title_full Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale
title_fullStr Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale
title_full_unstemmed Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale
title_sort Spatial analysis of indicators affecting the exploitation of shallow geothermal energy at European scale
dc.creator.none.fl_str_mv Ramos-Escudero, Adela
Garcia-Cascales, M. Socorro
Cuevas Castell, José Manuel
Sanner, Burkhard
Urchueguía Schölzel, Javier Fermín|||0000-0002-3054-3431
author Ramos-Escudero, Adela
author_facet Ramos-Escudero, Adela
Garcia-Cascales, M. Socorro
Cuevas Castell, José Manuel
Sanner, Burkhard
Urchueguía Schölzel, Javier Fermín|||0000-0002-3054-3431
author_role author
author2 Garcia-Cascales, M. Socorro
Cuevas Castell, José Manuel
Sanner, Burkhard
Urchueguía Schölzel, Javier Fermín|||0000-0002-3054-3431
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Física Aplicada
Instituto Universitario de Tecnologías de la Información y Comunicaciones
Escuela Técnica Superior de Ingeniería Industrial
Agencia Estatal de Investigación
COMISION DE LAS COMUNIDADES EUROPEA
Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Renewable heating and cooling
GIS
Multi-criteria decision-making
Continental scale
FISICA APLICADA
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
topic Renewable heating and cooling
GIS
Multi-criteria decision-making
Continental scale
FISICA APLICADA
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
description [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.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-04-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/183621
url https://riunet.upv.es/handle/10251/183621
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 TIN2017-86647-P ANALISIS DE MODELOS DE MOVILIDAD Y ENERGIAS RENOVABLES BASADOS EN INTELIGENCIA COMPUTACIONAL: APLICACIONES EN EL AMBITO DE LAS CIUDADES SOSTENIBLES
Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia https://doi.org/10.13039/100007801 19882-GERM-15
European Commission https://doi.org/10.13039/501100000780 H2020 727583
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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