Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/137207
Title: ROBUST DESIGN FOR BUILDING THERMAL INSULATION MATERIAL
Authors: SUN MENGHUA
Keywords: Robust Optimization, Optimization in Energy, Nonlinear Programming, Life Cycle Assessment, Thermal Insulation, Building Energy Consumption
Issue Date: 5-Jul-2017
Source: SUN MENGHUA (2017-07-05). ROBUST DESIGN FOR BUILDING THERMAL INSULATION MATERIAL. ScholarBank@NUS Repository.
Abstract: This 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.
URI: http://scholarbank.nus.edu.sg/handle/10635/137207
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Thesis.pdf1.37 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

27
checked on Jan 22, 2018

Download(s)

16
checked on Jan 22, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.