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dc.contributor.authorAndersen, Marilyne
dc.contributor.authorKleindienst, Sian A.
dc.contributor.authorYi, Lu
dc.contributor.authorLee, Jaime
dc.contributor.authorBodart, Magali
dc.contributor.authorCutler, Barbara
dc.date.accessioned2011-12-09T20:52:24Z
dc.date.available2011-12-09T20:52:24Z
dc.date.issued2008-10
dc.identifier.issn1466-4321
dc.identifier.issn0961-3218
dc.identifier.urihttp://hdl.handle.net/1721.1/67501
dc.description.abstractThe effective integration of daylighting considerations into the design process requires many issues to be considered simultaneously, such as daily and seasonal variations, illumination, and thermal comfort. To address the need for early integration into the design process, a new approach called Lightsolve has been developed. Its key objectives are to support the design process using a goal-oriented approach based on iterative design improvement suggestions; to provide climate-based annual metrics in a visual and synthesized format; and to relate quantitative and qualitative performance criteria using daylighting analysis data in various forms. This methodology includes the development of a time-segmentation process to represent weather and time in a condensed form, the adaptation of daylight metrics that encompass temporal and spatial considerations, and the creation of an interactive analysis interface to explore design options and design iterations. This system relies on optimization techniques to generate these suggestions. Lightsolve allows the designer to explore other design alternatives that may better fulfil the objectives and to learn about appropriate strategies to resolve daylight or sunlight penetration issues. It offers architects and building engineers support for daylighting design that can be employed interactively within the existing design process.en_US
dc.description.sponsorshipBoston Society of Architectsen_US
dc.description.sponsorshipBelgian National Foundation for Scientific Researchen_US
dc.description.sponsorshipMassachusetts Institute of Technologyen_US
dc.description.sponsorshipRensselaer Polytechnic Instituteen_US
dc.language.isoen_US
dc.publisherTaylor & Francis Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1080/09613210802243159en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceTaylor & Francisen_US
dc.titleAn intuitive daylighting performance analysis and optimization approachen_US
dc.typeArticleen_US
dc.identifier.citationAndersen, Marilyne et al. “An intuitive daylighting performance analysis and optimization approach.” Building Research & Information 36.6 (2008): 593-607. ©2008 Taylor & Francis.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Building Technology Groupen_US
dc.contributor.approverAndersen, Marilyne
dc.contributor.mitauthorAndersen, Marilyne
dc.contributor.mitauthorKleindienst, Sian A.
dc.contributor.mitauthorYi, Lu
dc.contributor.mitauthorLee, Jaime
dc.relation.journalBuilding Research and Informationen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsAndersen, Marilyne; Kleindienst, Siân; Yi, Lu; Lee, Jaime; Bodart, Magali; Cutler, Barbaraen
mit.licenseMIT_AMENDMENTen_US
mit.metadata.statusComplete


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