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dc.contributor.authorManni, Mattia
dc.contributor.authorLobaccaro, Gabriele
dc.contributor.authorLolli, Nicola
dc.contributor.authorBohne, Rolf André
dc.date.accessioned2020-10-07T11:30:13Z
dc.date.available2020-10-07T11:30:13Z
dc.date.created2020-09-28T09:30:45Z
dc.date.issued2020
dc.identifier.citationEnergies. 2020, 13 (18), .en_US
dc.identifier.issn1996-1073
dc.identifier.urihttps://hdl.handle.net/11250/2681566
dc.description.abstractThis work presents a validated workflow based on an algorithm developed in Grasshopper to parametrically control the building’s shape, by maximizing the solar irradiation incident on the building envelope and minimizing the embodied emissions. The algorithm is applied to a zero-emission building concept in Nordic and Mediterranean climate zones. The algorithm enables conducting both energy and environmental assessments through Ladybug tools. The emissions embodied in materials and the solar irradiation incident on the building envelope were estimated in the early design stage. A three-steps optimization process through evolutionary solvers, such as Galapagos (one-objective) and Octopus (multi-objective), has been conducted to shape the most environmentally responsive ZEB model in both climates. The results demonstrated the replicability of the algorithm to optimize the solar irradiation by producing an increment of solar incident irradiation equal to 35% in the Mediterranean area, and to 20% in the Nordic climate. This could contribute to compensate the additional 15% of emissions due to the higher quantities of employed materials in the optimized design. The developed approach, which is based on the parametric design principles for ZEBs, represents a support instrument for designers to develop highly efficient energy solutions in the early design stagesen_US
dc.language.isoengen_US
dc.publisherMDPI
dc.rightsCC BY 4.0*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectLife cycle assessmenten_US
dc.subjectZero-emission buildingen_US
dc.subjectParametric designen_US
dc.subjectEvolutionary computingen_US
dc.subjectSolar irradiationen_US
dc.titleParametric Design to Maximize Solar Irradiation and Minimize the Embodied GHG Emissions for a ZEB in Nordic and Mediterranean Climate Zonesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 The authorsen_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.pagenumber18en_US
dc.source.volume13en_US
dc.source.journalEnergiesen_US
dc.source.issue18en_US
dc.identifier.doi10.3390/en13184981
dc.identifier.cristin1833940
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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CC BY 4.0
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