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

Alberto Betancourt-Torcat, Ali Almansoori

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageBritish English
Title of host publicationInternational Conference on Smart Energy Grid Engineering, SEGE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467379328
DOIs
StatePublished - 10 Nov 2015
EventInternational Conference on Smart Energy Grid Engineering, SEGE 2015 - Oshawa, Canada
Duration: 17 Aug 201519 Aug 2015

Publication series

NameInternational Conference on Smart Energy Grid Engineering, SEGE 2015

Conference

ConferenceInternational Conference on Smart Energy Grid Engineering, SEGE 2015
Country/TerritoryCanada
CityOshawa
Period17/08/1519/08/15

Keywords

  • alternative energy
  • optimal design
  • power system
  • uncertainty
  • United Arab Emirates

Fingerprint

Dive into the research topics of 'Design optimization model for the United Arab Emirates power sector under uncertainty'. Together they form a unique fingerprint.

Cite this