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dc.contributor.advisorNoelle E. Selin.en_US
dc.contributor.authorDimantchev, Emil(Emil G.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Institute for Data, Systems, and Society.en_US
dc.contributor.otherTechnology and Policy Program.en_US
dc.coverage.spatialn-us---en_US
dc.date.accessioned2019-09-16T18:11:45Z
dc.date.available2019-09-16T18:11:45Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122091
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2018en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 71-84).en_US
dc.description.abstractDespite lawmaker interest in transitioning electricity systems toward renewable energy sources and in mitigating harmful air pollution, the extent to which sub-national renewable energy policies in the U.S. can improve air quality and human health remains unclear. This thesis develops a systemic modeling framework to assess the impacts of future renewable energy policy on air quality, as well as on the economy and on climate change, employing the framework of cost-benefit analysis. To model the chain of policy effects from impacts on the economy to power plant emissions, human health, and climate change, I integrate an economy-wide computable general equilibrium model, an atmospheric chemistry model, and methodologies for the economic valuation of health impacts. I apply this modeling framework to study the potential future impacts of the existing Renewable Portfolio Standards (RPSs) in the U.S. Rust Belt region.en_US
dc.description.abstractThis thesis also tests the impacts of alternative RPS stringency levels and assesses RPS impacts compared to carbon pricing, a climate policy favored by many economists. I estimate that existing RPSs in this region generate health co-benefits that, in economic terms, exceed the climate change mitigation benefits of these policies. Estimated health co-benefits also outweigh the economic costs of the modeled policies, indicating that air quality co-benefits alone may justify RPS implementation. This work further finds that raising RPS stringency in the Rust Belt increases net policy benefits (air quality and climate benefits minus costs). However, I show that air quality co-benefits are highly sensitive to several assumptions such as the economic value assigned to premature mortalities and the magnitude of the health response expected from a given level of pollution.en_US
dc.description.abstractThis thesis also estimates that carbon pricing generates greater air quality co-benefits for every ton of CO2 abated compared to an RPS, suggesting that carbon pricing may be more economically efficient (greater net benefits) relative to an RPS than previously thought. Finally, I show that RPSs have far-reaching economic impacts that have implications for their overall costs and benefits. This finding demonstrates the value of employing economy-wide models to understand the overall economic and environmental impacts of such sector-specific policies, and makes the case for a comprehensive, economy-wide approach for addressing air pollution and climate change.en_US
dc.description.statementofresponsibilityby Emil Dimantchev.en_US
dc.format.extent84 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.subjectTechnology and Policy Program.en_US
dc.titleAir quality co-benefits of renewable energy policy in the U.S.en_US
dc.typeThesisen_US
dc.description.degreeS.M. in Technology and Policyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentTechnology and Policy Programen_US
dc.identifier.oclc1111801579en_US
dc.description.collectionS.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Societyen_US
dspace.imported2019-09-16T18:11:40Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentESDen_US
mit.thesis.departmentIDSSen_US


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