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dc.contributor.advisorThomas, Valerie M.
dc.contributor.advisorSokol, Joel S.
dc.contributor.authorKerl, Paul Yung
dc.date.accessioned2018-01-22T21:01:34Z
dc.date.available2018-01-22T21:01:34Z
dc.date.created2016-12
dc.date.issued2016-11-15
dc.date.submittedDecember 2016
dc.identifier.urihttp://hdl.handle.net/1853/59130
dc.description.abstractThe aim of this thesis is the advancement of the integration of air quality health impact models and electricity system optimization models. Optimization models have been used to minimize electricity production costs while meeting demand. However, these models have not previously integrated air quality health impact concerns that vary hourly at a fine spatial resolution. Assessing air pollutant health externalities of emissions from fossil fuel-based electricity production is important to populations nearby emissions sources and to policy makers. We study new air quality model pollutant formation estimation that includes a temporal dimension and higher spatial resolution when compared to previous models. A new method for integrating temporally dependent air pollutant formation with improved spatial resolution into electricity system models is introduced. Finally we present two case studies and several future research directions.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectAir pollution
dc.subjectElectricity generation
dc.subjectHealth impacts
dc.subjectExternalities
dc.subjectEnergy policy
dc.subjectUnit commitment
dc.subjectOptimization
dc.titleIntegration of air pollutant health impacts into electricity system operation models
dc.typeDissertation
dc.description.degreePh.D.
dc.contributor.departmentIndustrial and Systems Engineering
thesis.degree.levelDoctoral
dc.contributor.committeeMemberTovey, Craig
dc.contributor.committeeMemberRussell, Armistead G.
dc.contributor.committeeMemberDieker, Ton
dc.date.updated2018-01-22T21:01:34Z


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