File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.renene.2008.01.007
- Scopus: eid_2-s2.0-46449127501
- WOS: WOS:000258204600006
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Climate change implications for wind power resources in the Northwest United States
Title | Climate change implications for wind power resources in the Northwest United States |
---|---|
Authors | |
Keywords | Climate change Renewable energy Statistical downscaling Wind power |
Issue Date | 2008 |
Publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/renene |
Citation | Renewable Energy, 2008, v. 33 n. 11, p. 2393-2406 How to Cite? |
Abstract | Using statistically downscaled output from four general circulation models (GCMs), we have investigated scenarios of climate change impacts on wind power generation potential in a five-state region within the Northwest United States (Idaho, Montana, Oregon, Washington, and Wyoming). All GCM simulations were extracted from the standardized set of runs created for the Intergovernmental Panel on Climate Change (IPCC). Analysis of model runs for the 20th century (20c3m) simulations revealed that the direct output of wind statistics from these models is of relatively poor quality compared with observations at airport weather stations within each state. When the GCM output was statistically downscaled, the resulting estimates of current climate wind statistics are substantially better. Furthermore, in looking at the GCM wind statistics for two IPCC future climate scenarios from the Special Report on Emissions Scenarios (SRES A1B and A2), there was significant disagreement in the direct model output from the four GCMs. When statistical downscaling was applied to the future climate simulations, a more coherent story unfolded related to the likely impact of climate change on the region's wind power resource. Specifically, the results suggest that summertime wind speeds in the Northwest may decrease by 5-10%, while wintertime wind speeds may decrease by relatively little, or possibly increase slightly. When these wind statistics are projected to typical turbine hub heights and nominal wind turbine power curves are applied, the impact of the climate change scenarios on wind power may be as high as a 40% reduction in summertime generation potential. © 2008 Elsevier Ltd. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/60254 |
ISSN | 2023 Impact Factor: 9.0 2023 SCImago Journal Rankings: 1.923 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sailor, DJ | en_HK |
dc.contributor.author | Smith, M | en_HK |
dc.contributor.author | Hart, M | en_HK |
dc.date.accessioned | 2010-05-31T04:06:50Z | - |
dc.date.available | 2010-05-31T04:06:50Z | - |
dc.date.issued | 2008 | en_HK |
dc.identifier.citation | Renewable Energy, 2008, v. 33 n. 11, p. 2393-2406 | en_HK |
dc.identifier.issn | 0960-1481 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/60254 | - |
dc.description.abstract | Using statistically downscaled output from four general circulation models (GCMs), we have investigated scenarios of climate change impacts on wind power generation potential in a five-state region within the Northwest United States (Idaho, Montana, Oregon, Washington, and Wyoming). All GCM simulations were extracted from the standardized set of runs created for the Intergovernmental Panel on Climate Change (IPCC). Analysis of model runs for the 20th century (20c3m) simulations revealed that the direct output of wind statistics from these models is of relatively poor quality compared with observations at airport weather stations within each state. When the GCM output was statistically downscaled, the resulting estimates of current climate wind statistics are substantially better. Furthermore, in looking at the GCM wind statistics for two IPCC future climate scenarios from the Special Report on Emissions Scenarios (SRES A1B and A2), there was significant disagreement in the direct model output from the four GCMs. When statistical downscaling was applied to the future climate simulations, a more coherent story unfolded related to the likely impact of climate change on the region's wind power resource. Specifically, the results suggest that summertime wind speeds in the Northwest may decrease by 5-10%, while wintertime wind speeds may decrease by relatively little, or possibly increase slightly. When these wind statistics are projected to typical turbine hub heights and nominal wind turbine power curves are applied, the impact of the climate change scenarios on wind power may be as high as a 40% reduction in summertime generation potential. © 2008 Elsevier Ltd. All rights reserved. | en_HK |
dc.language | eng | en_HK |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/renene | en_HK |
dc.relation.ispartof | Renewable Energy | en_HK |
dc.subject | Climate change | en_HK |
dc.subject | Renewable energy | en_HK |
dc.subject | Statistical downscaling | en_HK |
dc.subject | Wind power | en_HK |
dc.title | Climate change implications for wind power resources in the Northwest United States | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0960-1481&volume=33&spage=2393&epage=2406&date=2008&atitle=Climate+change+implications+for+wind+power+resources+in+the+Northwest+United+States | en_HK |
dc.identifier.email | Hart, M:mhart@hku.hk | en_HK |
dc.identifier.authority | Hart, M=rp00645 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.renene.2008.01.007 | en_HK |
dc.identifier.scopus | eid_2-s2.0-46449127501 | en_HK |
dc.identifier.hkuros | 156219 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-46449127501&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 33 | en_HK |
dc.identifier.issue | 11 | en_HK |
dc.identifier.spage | 2393 | en_HK |
dc.identifier.epage | 2406 | en_HK |
dc.identifier.isi | WOS:000258204600006 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Sailor, DJ=7003306487 | en_HK |
dc.identifier.scopusauthorid | Smith, M=54379647100 | en_HK |
dc.identifier.scopusauthorid | Hart, M=15044213100 | en_HK |
dc.identifier.issnl | 0960-1481 | - |