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dc.contributor.advisorStephen Connors.en_US
dc.contributor.authorGomez, Gabriel R. (Gabriel Rodriguez)en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2010-03-25T15:05:50Z
dc.date.available2010-03-25T15:05:50Z
dc.date.copyright2009en_US
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/53137
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.en_US
dc.descriptionIncludes bibliographical references (p. 60-61).en_US
dc.description.abstractQuantifying the reduced emissions due to renewable power integration and providing increasingly accurate emissions analysis has become more important for policy makers in the age of renewable portfolio standards (RPS) and emerging carbon markets. This study focuses on the method of quantifying the reduced CO2, NOx, and SO2 emissions due to renewable penetration on the electric power grid. A simplified model is used which calculates avoided emissions from the marginal generators that are displaced if generation from a renewable source were to come online. Analyzing the reduced greenhouse gas emissions from these load shape following generators provides a more telling story of the benefits of time varying nature of renewable power sources. This study gives an updated picture and retrospective analysis into 3 major regions of the US electric grid and a look into the emission savings possibilities brought on by renewable generation using a windmill feasibility study as an example.en_US
dc.description.statementofresponsibilityby Gabriel R. Gomez.en_US
dc.format.extent74 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleQuantifying avoided emissions from renewable generationen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc505498227en_US


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