Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/150372
Title: OPTIMIZATION MODELS FOR ENVIRONMENTAL AND SUSTAINABILITY PROBLEMS UNDER UNCERTAINTY
Authors: ZHAO KENA
ORCID iD:   orcid.org/0000-0003-1350-3355
Keywords: Sustainability Problem, Data Uncertainty, Risk Preference, Robust Optimization, Environmental Impacts and Risks, Wastewater Treatment Systems Design,
Issue Date: 3-Aug-2018
Citation: ZHAO KENA (2018-08-03). OPTIMIZATION MODELS FOR ENVIRONMENTAL AND SUSTAINABILITY PROBLEMS UNDER UNCERTAINTY. ScholarBank@NUS Repository.
Abstract: This dissertation explicitly addresses data uncertainty issues in the modelling and optimization of environmental and sustainability problems in three major engineering systems: waste-to-energy system, water system and energy system. At its core, we collectively address three issues: 1) how to model uncertainties to properly incorporate different types of empirical data information, 2) how to interpret uncertain outcomes and design performance criteria that can well reflect decision-makers’ preferences and account for the environmental permit requirements, 3) how to incorporate these two aspects into modelling so that decisions of practical values can be obtained with modest computational efforts, while intuitive interpretations can be made to decision-makers from different backgrounds. It is a collection of three interrelated essays, motivated by the life cycle assessment study of waste-to-energy systems, wastewater treatment system design problem and energy supply reserve provision problem, respectively. The ideas can be generalized to the other environmental and sustainable problems.
URI: http://scholarbank.nus.edu.sg/handle/10635/150372
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Kena_OptimizationModels.pdf4.36 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

63
checked on Apr 21, 2019

Download(s)

40
checked on Apr 21, 2019

Google ScholarTM

Check


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