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dc.contributor.authorLumbreras Mugaguren, Mikel ORCID
dc.contributor.authorDiarce Belloso, Gonzalo
dc.contributor.authorMartín Escudero, Koldobika ORCID
dc.contributor.authorCampos Celador, Álvaro
dc.contributor.authorLarrinaga Alonso, Pello
dc.date.accessioned2024-05-24T17:14:01Z
dc.date.available2024-05-24T17:14:01Z
dc.date.issued2022-05
dc.identifier.citationJournal of Cleaner Production 349 : (2022) // Article ID 131491es_ES
dc.identifier.issn0959-6526
dc.identifier.issn1879-1786
dc.identifier.urihttp://hdl.handle.net/10810/68165
dc.description.abstractThe efficient integration of high levels of industrial waste heat in low temperature district-heating networks is a promising technique that requires specific methodologies for its satisfactory implementation. This paper presents a novel methodology for assessing the energy and economic feasibility of new district-heating networks in existing urban areas for the integration of industrial waste heat sources. The methodology consists in an innovative multistep procedure using geographic information systems and data analysis tools, combining georeferenced data about buildings, industries and roads. The spatial distribution of the analysis area is divided into smaller buffers and grids, as a result, the routing design of the pipelines that makes up the district-heating topology is obtained under several assumptions. The methodology provides the most suitable area choice for the deployment of a district-heating, also implemented with a multi-step algorithm for routing the pipelines of the network. This methodology is applied to a particular case study located in Vitoria-Gasteiz (northern Spain). Different configurations for the district heating network are obtained with lengths of the network varying from 8 to 27 km. Payback values near to six years are achieved in most of the district-heating network configurations. The maximum payback period obtained within the configurations is 8.5 years. An economic sensitivity analysis is presented for the proposed optimal district-heating network configuration. The proposed methodology could be replicated for different case studies as long as the input data is available to the user.es_ES
dc.description.sponsorshipThe authors would like to acknowledge the Spanish Ministry of Science and Innovation (MICINN) for funding through the Sweet-TES research project (RTI2018-099557-B-C22).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/MICIU/RTI2018-099557-B-C22es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.subjectGISes_ES
dc.subjectindustrial waste heates_ES
dc.subjectdata-driven modeles_ES
dc.subjectLiDARes_ES
dc.subjectdistrict heatinges_ES
dc.titleDesign of district heating networks in built environments using GIS: A case study in Vitoria-Gasteiz, Spaines_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by- nc/4.0/)es_ES
dc.rights.holderAtribución-NoComercial 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S095965262201112Xes_ES
dc.identifier.doi10.1016/j.jclepro.2022.131491
dc.departamentoesIngeniería Energéticaes_ES
dc.departamentoeuEnergia Ingenieritzaes_ES


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© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-
nc/4.0/)
Except where otherwise noted, this item's license is described as © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by- nc/4.0/)