Reduction of green house gas emission by clean power trading Ding, Jingxu Somani, Arun Somani, Arun
dc.contributor.department Electrical and Computer Engineering 2021-02-15T22:53:07.000 2021-02-25T17:08:13Z 2021-02-25T17:08:13Z Fri Jan 01 00:00:00 UTC 2010 2009-01-01 2010-11-01
dc.description.abstract <p>It is well known that the CO 2 emitted by fossil energy is one of the major reasons that result in global warming. It is still an open question about how to reduce CO 2 emission by the implementation of an investment plan for clean power systems. In this paper, we propose a clean power trading method among neighboring regions such that we can reduce CO 2 emission in a large region and reduce the imbalance between the power demand and supply in a region caused by the fluctuation of clean energy. With the five states with rich wind energy in America as an example, we use the quantitative computation results of the five states (from a modeling framework designed by ourselves) to show that our proposed clean power trading method can help reduce CO 2 emission and realize balance.</p>
dc.description.comments <p>This is a manuscript of a proceeding published as Ding, Jinxu, and Arun Somani. "Reduction of green house gas emission by clean power trading." In <em>2010 IEEE Energy Conversion Congress and Exposition</em>. (2010): 4588-4592. DOI: <a href="" target="_blank">10.1109/ECCE.2010.5618416</a>. Posted with permission.</p>
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dc.identifier archive/
dc.identifier.articleid 1121
dc.identifier.contextkey 21615602
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ece_conf/116
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 18:54:16 UTC 2022
dc.source.uri 10.1109/ECCE.2010.5618416
dc.subject.disciplines Power and Energy
dc.subject.keywords Clean power trading
dc.subject.keywords CO2 emission
dc.subject.keywords Energy policy
dc.title Reduction of green house gas emission by clean power trading
dc.type article
dc.type.genre conference
dspace.entity.type Publication
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relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff
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