2026-09-19T18:47:29Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/531372022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stephen Connors.
Gomez, Gabriel R. (Gabriel Rodriguez)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2010-03-25T15:05:50Z
2010-03-25T15:05:50Z
2009
2009
http://hdl.handle.net/1721.1/53137
505498227
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
Includes bibliographical references (p. 60-61).
Quantifying 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.
by Gabriel R. Gomez.
M.Eng.
74 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Quantifying avoided emissions from renewable generation
Thesis
application/pdf
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Publication
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