DocumentCode
2534805
Title
A polynomial goal programming model with application to energy consumption and emissions in United Arab Emirates
Author
Jayaraman, Raja ; La Torre, Davide ; Malik, Tufail ; Pearson, Yanthe E.
Author_Institution
Dept. of Ind. & Syst. Eng., Khalifa Univ., Abu Dhabi, United Arab Emirates
fYear
2015
fDate
3-5 March 2015
Firstpage
1
Lastpage
6
Abstract
Sustainable growth and development of nations requires strategic vision and plan to accommodate growing energy needs while preserving and protecting the natural environment. Studies that couple energy and environment often present conflicting objectives which requires the explicit use of quantitative models to develop appropriate solutions for policy planning and analysis. Goal programming offers an analytical framework to solve multi-objective problems that simultaneously satisfy decision maker´s preferences. In this paper we develop a polynomial goal programming model to study the effects of electricity consumption and greenhouse gas emissions applied to the economy of United Arab Emirates. The results provide valuable insights for improvement opportunities and quantitative justification for the required investments and efforts in implementing sustainable development plans.
Keywords
air pollution; decision making; environmental economics; environmental factors; government policies; mathematical programming; polynomials; power consumption; sustainable development; United Arab Emirates; decision maker; electricity consumption; energy consumption; greenhouse gas emission; multiobjective problem; natural environment preservation; natural environment protection; policy planning; polynomial goal programming model; quantitative model; sustainable growth; Economics; Energy consumption; Portfolios; Production; Programming; Sociology; Statistics; Energy Policy; GHG Emissions; Polynomial Goal Programming; Sustainable Development;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Operations Management (IEOM), 2015 International Conference on
Conference_Location
Dubai
Print_ISBN
978-1-4799-6064-4
Type
conf
DOI
10.1109/IEOM.2015.7093869
Filename
7093869
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