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dc.contributor.authorMiller, Lee M.
dc.contributor.authorBrunsell, Nathaniel A.
dc.contributor.authorMechem, David B.
dc.contributor.authorGans, Fabian
dc.contributor.authorMonaghan, Andrew J.
dc.contributor.authorVautard, Robert
dc.contributor.authorKeith, David W.
dc.contributor.authorKleidon, Axel
dc.date.accessioned2016-12-06T20:34:52Z
dc.date.available2016-12-06T20:34:52Z
dc.date.issued2015-06-25
dc.identifier.citationMiller, Lee M., Nathaniel A. Brunsell, David B. Mechem, Fabian Gans, Andrew J. Monaghan, Robert Vautard, David W. Keith, and Axel Kleidon. "Two Methods for Estimating Limits to Large-scale Wind Power Generation." Proceedings of the National Academy of Sciences 112.36 (2015): 11169-1174.en_US
dc.identifier.urihttp://hdl.handle.net/1808/22155
dc.description.abstractWind turbines remove kinetic energy from the atmospheric flow, which reduces wind speeds and limits generation rates of large wind farms. These interactions can be approximated using a vertical kinetic energy (VKE) flux method, which predicts that the maximum power generation potential is 26% of the instantaneous downward transport of kinetic energy using the preturbine climatology. We compare the energy flux method to the Weather Research and Forecasting (WRF) regional atmospheric model equipped with a wind turbine parameterization over a 105 km2 region in the central United States. The WRF simulations yield a maximum generation of 1.1 We⋅m−2, whereas the VKE method predicts the time series while underestimating the maximum generation rate by about 50%. Because VKE derives the generation limit from the preturbine climatology, potential changes in the vertical kinetic energy flux from the free atmosphere are not considered. Such changes are important at night when WRF estimates are about twice the VKE value because wind turbines interact with the decoupled nocturnal low-level jet in this region. Daytime estimates agree better to 20% because the wind turbines induce comparatively small changes to the downward kinetic energy flux. This combination of downward transport limits and wind speed reductions explains why large-scale wind power generation in windy regions is limited to about 1 We⋅m−2, with VKE capturing this combination in a comparatively simple way.en_US
dc.publisherProceedings of the National Academy of Sciences of the United States of Americaen_US
dc.relation.isversionofhttp://www.pnas.org/content/112/36/11169.full?sid=bccce7e9-a61a-4ce0-9fb7-a1144b42adc8en_US
dc.subjectGeneration limitsen_US
dc.subjectTurbine-atmosphere interactionsen_US
dc.subjectWind resourceen_US
dc.subjectKinetic energy fluxen_US
dc.subjectExtraction limitsen_US
dc.titleTwo methods for estimating limits to large-scale wind power generationen_US
dc.typeArticleen_US
kusw.kuauthorMechem, David
kusw.kudepartmentGeography & Atmospheric Scienceen_US
kusw.oanotesPer SHERPA/RoMEO 12/6/2016: Author's Pre-print: green tick author can archive pre-print (ie pre-refereeing) Author's Post-print: green tick author can archive post-print (ie final draft post-refereeing) Publisher's Version/PDF: green tick author can archive publisher's version/PDF General Conditions: Author's pre-print and Author's post-print on author's personal website, institutional repository, arXiv or preprint servers only Publisher copyright must be acknowledged Must link to publisher version Publisher's version/PDF may be used on author's personal website only Publisher's version/PDF cannot be used in a repository Authors may have deposit in funding body's archive or funding body's designated repository for public release 6 months after publication or immediately upon payment of fee All PNAS-formatted versions are deposited in PubMed Central for release after 6 months, regardless of fundingen_US
dc.identifier.doi10.1073/pnas.1408251112en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
kusw.proid104543873024en_US
dc.rights.accessrightsopenAccess


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