Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/137207
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dc.titleROBUST DESIGN FOR BUILDING THERMAL INSULATION MATERIAL
dc.contributor.authorSUN MENGHUA
dc.date.accessioned2017-11-02T18:01:21Z
dc.date.available2017-11-02T18:01:21Z
dc.date.issued2017-07-05
dc.identifier.citationSUN MENGHUA (2017-07-05). ROBUST DESIGN FOR BUILDING THERMAL INSULATION MATERIAL. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/137207
dc.description.abstractThis work studies a building thermal insulation material design problem using an optimization-based approach. A basic design optimization model is first developed, which considers both economic and environmental impacts in a comprehensive manner. To account for the uncertainties in environmental parameters, this work proposes a robust design model that can generate solutions against the effects of parameter uncertainties. For addressing the computational challenges of the robust design model, a novel solution approach is proposed to achieve a safe approximation, which is then solved via a sequence of convex optimization models. Computational studies based on a high-rise apartment in Shanghai are performed. Numerical results demonstrate that the robust design model can effectively mitigate against the effects of uncertainties, and also outperforms the solutions from a sampling based design model across various performance metrics.
dc.language.isoen
dc.subjectRobust Optimization, Optimization in Energy, Nonlinear Programming, Life Cycle Assessment, Thermal Insulation, Building Energy Consumption
dc.typeThesis
dc.contributor.departmentINDUSTRIAL SYSTEMS ENGINEERING & MGT
dc.contributor.supervisorHASKELL, WILLIAM BENJAMIN
dc.contributor.supervisorNG TSAN SHENG, ADAM
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF ENGINEERING
Appears in Collections:Master's Theses (Open)

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