Show simple item record

dc.contributor.advisorOlivier L. de Weck, Ignacio J. Pérez-Arriaga and Karen Tapia-Ahumada.en_US
dc.contributor.authorDe Monts de Savasse, Alix M. A. H. (Alix Marie A. H.)en_US
dc.contributor.otherTechnology and Policy Program.en_US
dc.date.accessioned2018-09-17T15:49:51Z
dc.date.available2018-09-17T15:49:51Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/117916
dc.descriptionThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 103-107).en_US
dc.description.abstractElectricity demand has been rising rapidly in the six Gulf Cooperation Council (GCC) countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates). As a result, the diversification and sustainable transition of their electricity sectors has been a priority. As part of these efforts, the GCC countries interconnected their electricity grids in 2011, with the aim of sharing reserve capacity, thus enhancing system reliability. The GCC has sought to further utilize this interconnection by developing a regional market in order to exchange power real-time across borders and reap the economic efficiencies of regional trade. However, the utilization rate of the interconnector remains low (around 8%) due to fuel subsidies, different stages of national electricity market development, and the lack of clear trading rules. This thesis analyzed how the interconnector could be better utilized. A network constrained multi-period economic dispatch with optimal DC power flow and uniform loss representation model was developed in order to assess the economic benefits of cross-border trade within the GCC. It covered fifteen years of planned capacity expansions, from 2016 to 2030, resulting in a model that incorporates 428 power plants across the six GCC countries and a high-level network representation with 26 nodes and 68 high-voltage transmission lines. Analysis specifically focused on how operational costs (fuel and variable operation & maintenance costs) and electricity prices could be reduced by trading power across borders on current and planned GCC infrastructure. Based on the data available, our model revealed that about USD $1 Billion could be saved in annual operational costs (about 2% when using international fuel prices) from this regional electricity trade. The model also revealed the overwhelming impact of fuel subsidies, calculating that the GCC would spend more on fuel subsidies for electricity production annually (around USD $60 Billion) than the complete yearly operational costs of the six countries combined without. Removal of subsidies would significantly affect the volume and direction of exports across the network, flipping some countries from net importers to exporters, as well as impacting the utilization rate of transmission lines.en_US
dc.description.statementofresponsibilityby Alix M.A.H. de Monts de Savasse.en_US
dc.format.extent107 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectInstitute for Data, Systems, and Society.en_US
dc.subjectEngineering Systems Division.en_US
dc.subjectTechnology and Policy Program.en_US
dc.titlePower shifts : a techno-economic analysis of multinational electricity market development in the Middle Easten_US
dc.title.alternativeTechno-economic analysis of multinational electricity market development in the Middle Easten_US
dc.typeThesisen_US
dc.description.degreeS.M. in Technology and Policyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.identifier.oclc1051221874en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record