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Global optimization framework for solar building design

2017-07-21Comunicação em conferência Acesso restrito
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datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg12:Produção e Consumo Sustentáveis
dc.contributor.authorSilva, N.
dc.contributor.authorAlves, N.
dc.contributor.authorPascoal-Faria, P.
dc.date.accessioned2026-02-26T14:27:46Z
dc.date.available2026-02-26T14:27:46Z
dc.date.issued2017-07-21
dc.description.abstractThe generative modeling paradigm is a shift from static models to flexible models. It describes a modeling process using functions, methods and operators. The result is an algorithmic description of the construction process. Each evaluation of such an algorithm creates a model instance, which depends on its input parameters (width, height, volume, roof angle, orientation, location). These values are normally chosen according to aesthetic aspects and style. In this study, the model’s parameters are automatically generated according to an objective function. A generative model can be optimized according to its parameters, in this way, the best solution for a constrained problem is determined. Besides the establishment of an overall framework design, this work consists on the identification of different building shapes and their main parameters, the creation of an algorithmic description for these main shapes and the formulation of the objective function, respecting a building’s energy consumption (solar energy, heating and insulation). Additionally, the conception of an optimization pipeline, combining an energy calculation tool with a geometric scripting engine is presented. The methods developed leads to an automated and optimized 3D shape generation for the projected building (based on the desired conditions and according to specific constrains). The approach proposed will help in the construction of real buildings that account for less energy consumption and for a more sustainable world.eng
dc.identifier.citationN. Silva, N. Alves, P. Pascoal-Faria; Global optimization framework for solar building design. AIP Conf. Proc. 21 July 2017; 1863 (1): 520006. https://doi.org/10.1063/1.4992670
dc.identifier.doi10.1063/1.4992670
dc.identifier.issn0094-243X
dc.identifier.urihttp://hdl.handle.net/10400.8/15722
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAIP AIP Publishing
dc.relationCentre for Rapid and Sustainable Product Development
dc.relation.hasversionhttps://pubs.aip.org/aip/acp/article/1863/1/520006/796820/Global-optimization-framework-for-solar-building
dc.relation.ispartofAIP Conference Proceedings
dc.rights.uriN/A
dc.subjectEnergy consumption
dc.subjectSolar architecture
dc.subjectSolar energy
dc.subjectMathematical optimization
dc.titleGlobal optimization framework for solar building designeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleCentre for Rapid and Sustainable Product Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMulti%2F04044%2F2013/PT
oaire.citation.conferenceDate2026-09-19
oaire.citation.conferencePlaceRhodes, Greece
oaire.citation.titleINTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016)
oaire.citation.volume1863
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAlves
person.familyNamePascoal-Faria
person.givenNameNuno
person.givenNamePaula
person.identifier452149
person.identifier.ciencia-id311E-1559-8F6C
person.identifier.ciencia-idE01D-874A-4145
person.identifier.orcid0000-0002-5016-0868
person.identifier.orcid0000-0003-1474-9496
person.identifier.ridN-4073-2013
person.identifier.scopus-author-id7006403383
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationbbd46a74-b77e-4539-a5fe-62ee95cdc4fa
relation.isAuthorOfPublicationebb27133-d9ce-4f58-a4ca-f75a786bbc2e
relation.isAuthorOfPublication.latestForDiscoverybbd46a74-b77e-4539-a5fe-62ee95cdc4fa
relation.isProjectOfPublication9c625981-b187-4078-8cb2-d84b0d21a477
relation.isProjectOfPublication.latestForDiscovery9c625981-b187-4078-8cb2-d84b0d21a477

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