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dc.contributor.advisorKonstantin Turitsyn.en_US
dc.contributor.authorJaworsky, Christina Aen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2013-10-24T17:34:14Z
dc.date.available2013-10-24T17:34:14Z
dc.date.copyright2013en_US
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/81605
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 84-87).en_US
dc.description.abstractElectricity generation from wind power is increasing worldwide. Wind power can offset traditional fossil fuel generators which is beneficial to the environment. However, wind generation is unpredictable. Wind speeds have minute to minute variability which causes minute to minute generation to fluctuate. Additionally, wind forecasting does not perfectly predict wind generation, so it is difficult for wind to meet a generation schedule. Therefore, with increased wind production, there is a need for flexibility in the electricity grid. Electricity storage is one method of achieving greater flexibility. With storage, wind generators can have a less variable power output. They can also be made to follow a generation schedule the same way traditional generation does. This study discusses the storage requirements for reducing the variability of wind power. It also assesses the value of an accurate forecast in terms of storage requirements. Storage capacity requirements are shown to be modest compared to the size of a generator, representing approximately one minute of full power generation capacity. Accurate forecasting can reduce the storage requirements of a wind generator. However, forecasts have little added value for greater accuracy beyond correctly predicting the mean of the wind generation on delivery scheduling intervals.en_US
dc.description.statementofresponsibilityby Christina A. Jaworsky.en_US
dc.format.extent87 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.subjectMechanical Engineering.en_US
dc.titleThe effects of energy storage properties and forecast accuracy on mitigating variability in wind power generationen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc858869441en_US


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