Design optimization model for the United Arab Emirates power sector under uncertainty

Alberto Betancourt-Torcat; Ali Almansoori

doi:10.1109/SEGE.2015.7324584

Design optimization model for the United Arab Emirates power sector under uncertainty

Alberto Betancourt-Torcat
, Ali Almansoori

Chemical and Petroleum Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A mixed integer linear programming model for the optimal design of the United Arab Emirates power infrastructure under uncertainty is presented. The optimization objective is the minimization of the power generation costs in the UAE under techno-economic and environmental constraints. Uncertainty is considered in the carbon tax price and social benefits associated with the avoidance of air emissions. The optimization problem was formulated in the General Algebraic Modeling System (GAMS®). The novelty of the present work consists of determining the most suitable combination of power generation plants under uncertainty. This work also considers the introduction of alternative energy sources such as nuclear and renewables into the country's power fleet. Two case studies are solved to demonstrate the usefulness of the devised approach.

Original language	British English
Title of host publication	International Conference on Smart Energy Grid Engineering, SEGE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467379328
DOIs	https://doi.org/10.1109/SEGE.2015.7324584
State	Published - 10 Nov 2015
Event	International Conference on Smart Energy Grid Engineering, SEGE 2015 - Oshawa, Canada Duration: 17 Aug 2015 → 19 Aug 2015

Publication series

Name	International Conference on Smart Energy Grid Engineering, SEGE 2015

Conference

Conference	International Conference on Smart Energy Grid Engineering, SEGE 2015
Country/Territory	Canada
City	Oshawa
Period	17/08/15 → 19/08/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 13 Climate Action

Keywords

alternative energy
optimal design
power system
uncertainty
United Arab Emirates

Access to Document

10.1109/SEGE.2015.7324584

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Cite this

Betancourt-Torcat, A., & Almansoori, A. (2015). Design optimization model for the United Arab Emirates power sector under uncertainty. In International Conference on Smart Energy Grid Engineering, SEGE 2015 Article 7324584 (International Conference on Smart Energy Grid Engineering, SEGE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SEGE.2015.7324584

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Betancourt-Torcat, A & Almansoori, A 2015, Design optimization model for the United Arab Emirates power sector under uncertainty. in International Conference on Smart Energy Grid Engineering, SEGE 2015., 7324584, International Conference on Smart Energy Grid Engineering, SEGE 2015, Institute of Electrical and Electronics Engineers Inc., International Conference on Smart Energy Grid Engineering, SEGE 2015, Oshawa, Canada, 17/08/15. https://doi.org/10.1109/SEGE.2015.7324584

Design optimization model for the United Arab Emirates power sector under uncertainty. / Betancourt-Torcat, Alberto; Almansoori, Ali.
International Conference on Smart Energy Grid Engineering, SEGE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7324584 (International Conference on Smart Energy Grid Engineering, SEGE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - A mixed integer linear programming model for the optimal design of the United Arab Emirates power infrastructure under uncertainty is presented. The optimization objective is the minimization of the power generation costs in the UAE under techno-economic and environmental constraints. Uncertainty is considered in the carbon tax price and social benefits associated with the avoidance of air emissions. The optimization problem was formulated in the General Algebraic Modeling System (GAMS®). The novelty of the present work consists of determining the most suitable combination of power generation plants under uncertainty. This work also considers the introduction of alternative energy sources such as nuclear and renewables into the country's power fleet. Two case studies are solved to demonstrate the usefulness of the devised approach.

AB - A mixed integer linear programming model for the optimal design of the United Arab Emirates power infrastructure under uncertainty is presented. The optimization objective is the minimization of the power generation costs in the UAE under techno-economic and environmental constraints. Uncertainty is considered in the carbon tax price and social benefits associated with the avoidance of air emissions. The optimization problem was formulated in the General Algebraic Modeling System (GAMS®). The novelty of the present work consists of determining the most suitable combination of power generation plants under uncertainty. This work also considers the introduction of alternative energy sources such as nuclear and renewables into the country's power fleet. Two case studies are solved to demonstrate the usefulness of the devised approach.

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KW - optimal design

KW - power system

KW - uncertainty

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M3 - Conference contribution

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 17 August 2015 through 19 August 2015

ER -

Design optimization model for the United Arab Emirates power sector under uncertainty

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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