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dc.contributor.authorSimmons, Brian Spenceren_US
dc.date.accessioned2013-01-17T22:06:10Z
dc.date.available2013-01-17T22:06:10Z
dc.date.issued2012-12-10en_US
dc.identifier.urihttp://hdl.handle.net/1853/45941
dc.description.abstractThe thesis project explores the use of an optimization methodology for selecting the lowest monetary cost combinations of technologies to meet a set operational energy efficiency targets for buildings. The optimization approach, which is operated on a normative energy model, is compared with existing prescriptive methodologies for selecting technology combinations and a metric is developed for ranking their effectiveness; the E/C Ratio. The energy savings/ cost ratio is also the objective function that the optimization algorithm is set to maximize. The optimization routine is coded in to a custom MATLAB script and is used in two case studies to optimize a proto-typical Korean apartment and office building. The optimization methodology finds technology combinations that are much more cost effective than the prescriptive methodology at meeting an energy savings target and can generically be applied to other buildings given a palette of technology alternatives and the corresponding cost data.en_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectOptimizationen_US
dc.subjectEnergy efficiencyen_US
dc.subjectEnergy conservation measuresen_US
dc.subject.lcshCost effectiveness
dc.subject.lcshEnergy consumption
dc.titleLowest cost building technology selection for energy efficient designen_US
dc.typeThesisen_US
dc.description.degreeMSen_US
dc.contributor.departmentArchitectureen_US
dc.description.advisorCommittee Chair: Godfried Augenbroe ; Committee Member: Jason Brownen_US


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