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dc.contributor.authorPetrichenko, Ksenia
dc.contributor.authorÜrge-Vorsatz, Diana
dc.contributor.authorCabeza, Luisa F.
dc.date.accessioned2019-06-19T11:15:15Z
dc.date.issued2019
dc.identifier.issn0378-7788
dc.identifier.urihttp://hdl.handle.net/10459.1/66467
dc.description.abstractWith the Paris Agreement coming into force, global efforts will need to maximize opportunities through energy efficiency and renewable energy generation. Zero energy/carbon initiatives are mushrooming worldwide, but it has not been fully understood which building types in which climates and under which conditions can potentially be built to net zero energy standards. In order to inform these efforts, a new model was developed to estimate the technical potential for building¿integrated solar energy (BISE, the name of the model) generation in a high resolution regional, climate and building typology breakdown., The BISE model also evaluates the opportunities for potential net zero energy buildings based on the BISE findigns, combining these with the findings of two global low-energy building models. The BISE model has a very high resolution in terms of geographic regions, climate types, building types and vin- tages. Moreover, the model combines methods for bottom-up energy modeling and geospatial analysis. The thermal building energy demand estimation is based on the 3CSEP-HEB model and the plug load scenarios are based on the BUENAS model. Results are wide, due to intrinsic limitationso of the model detailed in the paper, but it is shown that there is a substantial potential for building-integrated solar energy generation in all world regions, and that the Deep Efficiency Scenario allows significantly more building types to meet net zero energy levels by 2050 in contrast to a scenario when only moderate energy efficiency improvements are implemented.
dc.description.sponsorshipThe work presented in this paper was funded by Central European University as part of a PhD research and through other grants. Special gratitude is expressed Dr. M. McNeil for sharing the data and their expertise on building energy use and energy modelling. The authors would like to thank Mr. D. Leiszen for his creative approach to developing software and visulisation parts of the model.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.enbuild.2019.06.024
dc.relation.ispartofEnergy and Buildings, 2019, vol. 198, p. 329-339
dc.rightscc-by-nc-nd (c) Elsevier, 2019
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSolar energy
dc.subjectPotentials
dc.subjectEnergy efficiency
dc.subjectNet zero energy buildings
dc.subjectModeling
dc.subjectGeospatial analysis
dc.titleModeling global and regional potentials for building-integrated solar energy generation
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2019-06-19T11:15:16Z
dc.identifier.idgrec028669
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccess
dc.identifier.doihttps://doi.org/10.1016/j.enbuild.2019.06.024
dc.date.embargoEndDate2021-06-11


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cc-by-nc-nd (c) Elsevier, 2019
Except where otherwise noted, this item's license is described as cc-by-nc-nd (c) Elsevier, 2019