Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.)

The Western Wind and Solar Integration Study (WWSIS) is one of the world's largest regional integration studies to date. This paper discusses the creation of the wind dataset that will be the basis for assessing the operating impacts and mitigation options due to the variability and uncertainty...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Wind engineering 2008-06, Vol.32 (4), p.325-338
Hauptverfasser: Potter, Cameron W., Lew, Debra, McCaa, Jim, Cheng, Sam, Eichelberger, Scott, Grimit, Eric
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 338
container_issue 4
container_start_page 325
container_title Wind engineering
container_volume 32
creator Potter, Cameron W.
Lew, Debra
McCaa, Jim
Cheng, Sam
Eichelberger, Scott
Grimit, Eric
description The Western Wind and Solar Integration Study (WWSIS) is one of the world's largest regional integration studies to date. This paper discusses the creation of the wind dataset that will be the basis for assessing the operating impacts and mitigation options due to the variability and uncertainty of wind power on the utility grids. The dataset is based on output from a mesoscale numerical weather prediction (NWP) model, covering over 4 million square kilometers with a spatial resolution of approximately two-kilometers over a period of three years with a temporal resolution of 10 minutes. The mesoscale model dataset includes all the meteorological variables necessary to calculate wind energy production. Individual time series were produced for over 30 thousand locations representing more than 900 GW of potential wind power generation.
doi_str_mv 10.1260/0309-524X.32.4.325
format Article
fullrecord <record><control><sourceid>jstor_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_1021223</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>43856918</jstor_id><sage_id>10.1260_0309-524X.32.4.325</sage_id><sourcerecordid>43856918</sourcerecordid><originalsourceid>FETCH-LOGICAL-c398t-7eaebd96de6741539a41464172a3da57544a790e8ff1ce757439da5b0afa72a43</originalsourceid><addsrcrecordid>eNqFkU1LxDAQhoMouK7-AUEoHkQP7eZj0rRHWT9B9LAueguxna5d1kST7MF_b9aKRz1kQsLzzJA3hBwyWjBe0gkVtM4lh-dC8AJSkVtkxClUOVD-vE1Gv8Au2QthSSkDxmBE7qceTeztIouvmF2YaALGrHP--_yEIaK32VNv28ykNXMr47NbG3Hhk-ZsNovr9jM7nRez4rw42yc7nVkFPPjZx2R-dfk4vcnvHq5vp-d3eSPqKuYKDb60ddliqYBJURtgUAJT3IjWSCUBjKopVl3HGlRSgajT_Qs1nUkMiDE5Hvq6EHsdmj5i89o4a7GJmlHOOBcJOhmgd-8-1ukp-q0PDa5WxqJbBy2kojUH9i_Iqai44huQD2DjXQgeO_3u-zfjP9NMvfkIvclZb3LWgmtIRSZpMkjBLFAv3drbFM3fxtFgLEN0_ncGiEqWNavEF5BIkKc</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>20382721</pqid></control><display><type>article</type><title>Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.)</title><source>Sage Journals</source><source>JSTOR</source><creator>Potter, Cameron W. ; Lew, Debra ; McCaa, Jim ; Cheng, Sam ; Eichelberger, Scott ; Grimit, Eric</creator><creatorcontrib>Potter, Cameron W. ; Lew, Debra ; McCaa, Jim ; Cheng, Sam ; Eichelberger, Scott ; Grimit, Eric ; National Renewable Energy Lab. (NREL), Golden, CO (United States)</creatorcontrib><description>The Western Wind and Solar Integration Study (WWSIS) is one of the world's largest regional integration studies to date. This paper discusses the creation of the wind dataset that will be the basis for assessing the operating impacts and mitigation options due to the variability and uncertainty of wind power on the utility grids. The dataset is based on output from a mesoscale numerical weather prediction (NWP) model, covering over 4 million square kilometers with a spatial resolution of approximately two-kilometers over a period of three years with a temporal resolution of 10 minutes. The mesoscale model dataset includes all the meteorological variables necessary to calculate wind energy production. Individual time series were produced for over 30 thousand locations representing more than 900 GW of potential wind power generation.</description><identifier>ISSN: 0309-524X</identifier><identifier>EISSN: 2048-402X</identifier><identifier>DOI: 10.1260/0309-524X.32.4.325</identifier><language>eng</language><publisher>London, England: Multi-Science Publishing Company</publisher><subject>Datasets ; FORECASTING ; Forecasting models ; MITIGATION ; Modeling ; Numerical weather forecasting ; PRODUCTION ; Renewable energy ; RESOLUTION ; SPATIAL RESOLUTION ; Turbines ; WEATHER ; Weather forecasting ; Wind ; WIND ENERGY ; WIND POWER ; Wind velocity</subject><ispartof>Wind engineering, 2008-06, Vol.32 (4), p.325-338</ispartof><rights>2008 SAGE Publications</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c398t-7eaebd96de6741539a41464172a3da57544a790e8ff1ce757439da5b0afa72a43</citedby><cites>FETCH-LOGICAL-c398t-7eaebd96de6741539a41464172a3da57544a790e8ff1ce757439da5b0afa72a43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/43856918$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/43856918$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,780,784,803,885,21819,27924,27925,43621,43622,58017,58250</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1021223$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Potter, Cameron W.</creatorcontrib><creatorcontrib>Lew, Debra</creatorcontrib><creatorcontrib>McCaa, Jim</creatorcontrib><creatorcontrib>Cheng, Sam</creatorcontrib><creatorcontrib>Eichelberger, Scott</creatorcontrib><creatorcontrib>Grimit, Eric</creatorcontrib><creatorcontrib>National Renewable Energy Lab. (NREL), Golden, CO (United States)</creatorcontrib><title>Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.)</title><title>Wind engineering</title><description>The Western Wind and Solar Integration Study (WWSIS) is one of the world's largest regional integration studies to date. This paper discusses the creation of the wind dataset that will be the basis for assessing the operating impacts and mitigation options due to the variability and uncertainty of wind power on the utility grids. The dataset is based on output from a mesoscale numerical weather prediction (NWP) model, covering over 4 million square kilometers with a spatial resolution of approximately two-kilometers over a period of three years with a temporal resolution of 10 minutes. The mesoscale model dataset includes all the meteorological variables necessary to calculate wind energy production. Individual time series were produced for over 30 thousand locations representing more than 900 GW of potential wind power generation.</description><subject>Datasets</subject><subject>FORECASTING</subject><subject>Forecasting models</subject><subject>MITIGATION</subject><subject>Modeling</subject><subject>Numerical weather forecasting</subject><subject>PRODUCTION</subject><subject>Renewable energy</subject><subject>RESOLUTION</subject><subject>SPATIAL RESOLUTION</subject><subject>Turbines</subject><subject>WEATHER</subject><subject>Weather forecasting</subject><subject>Wind</subject><subject>WIND ENERGY</subject><subject>WIND POWER</subject><subject>Wind velocity</subject><issn>0309-524X</issn><issn>2048-402X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqFkU1LxDAQhoMouK7-AUEoHkQP7eZj0rRHWT9B9LAueguxna5d1kST7MF_b9aKRz1kQsLzzJA3hBwyWjBe0gkVtM4lh-dC8AJSkVtkxClUOVD-vE1Gv8Au2QthSSkDxmBE7qceTeztIouvmF2YaALGrHP--_yEIaK32VNv28ykNXMr47NbG3Hhk-ZsNovr9jM7nRez4rw42yc7nVkFPPjZx2R-dfk4vcnvHq5vp-d3eSPqKuYKDb60ddliqYBJURtgUAJT3IjWSCUBjKopVl3HGlRSgajT_Qs1nUkMiDE5Hvq6EHsdmj5i89o4a7GJmlHOOBcJOhmgd-8-1ukp-q0PDa5WxqJbBy2kojUH9i_Iqai44huQD2DjXQgeO_3u-zfjP9NMvfkIvclZb3LWgmtIRSZpMkjBLFAv3drbFM3fxtFgLEN0_ncGiEqWNavEF5BIkKc</recordid><startdate>20080601</startdate><enddate>20080601</enddate><creator>Potter, Cameron W.</creator><creator>Lew, Debra</creator><creator>McCaa, Jim</creator><creator>Cheng, Sam</creator><creator>Eichelberger, Scott</creator><creator>Grimit, Eric</creator><general>Multi-Science Publishing Company</general><general>SAGE Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>OTOTI</scope></search><sort><creationdate>20080601</creationdate><title>Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.)</title><author>Potter, Cameron W. ; Lew, Debra ; McCaa, Jim ; Cheng, Sam ; Eichelberger, Scott ; Grimit, Eric</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c398t-7eaebd96de6741539a41464172a3da57544a790e8ff1ce757439da5b0afa72a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Datasets</topic><topic>FORECASTING</topic><topic>Forecasting models</topic><topic>MITIGATION</topic><topic>Modeling</topic><topic>Numerical weather forecasting</topic><topic>PRODUCTION</topic><topic>Renewable energy</topic><topic>RESOLUTION</topic><topic>SPATIAL RESOLUTION</topic><topic>Turbines</topic><topic>WEATHER</topic><topic>Weather forecasting</topic><topic>Wind</topic><topic>WIND ENERGY</topic><topic>WIND POWER</topic><topic>Wind velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Potter, Cameron W.</creatorcontrib><creatorcontrib>Lew, Debra</creatorcontrib><creatorcontrib>McCaa, Jim</creatorcontrib><creatorcontrib>Cheng, Sam</creatorcontrib><creatorcontrib>Eichelberger, Scott</creatorcontrib><creatorcontrib>Grimit, Eric</creatorcontrib><creatorcontrib>National Renewable Energy Lab. (NREL), Golden, CO (United States)</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>OSTI.GOV</collection><jtitle>Wind engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Potter, Cameron W.</au><au>Lew, Debra</au><au>McCaa, Jim</au><au>Cheng, Sam</au><au>Eichelberger, Scott</au><au>Grimit, Eric</au><aucorp>National Renewable Energy Lab. (NREL), Golden, CO (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.)</atitle><jtitle>Wind engineering</jtitle><date>2008-06-01</date><risdate>2008</risdate><volume>32</volume><issue>4</issue><spage>325</spage><epage>338</epage><pages>325-338</pages><issn>0309-524X</issn><eissn>2048-402X</eissn><abstract>The Western Wind and Solar Integration Study (WWSIS) is one of the world's largest regional integration studies to date. This paper discusses the creation of the wind dataset that will be the basis for assessing the operating impacts and mitigation options due to the variability and uncertainty of wind power on the utility grids. The dataset is based on output from a mesoscale numerical weather prediction (NWP) model, covering over 4 million square kilometers with a spatial resolution of approximately two-kilometers over a period of three years with a temporal resolution of 10 minutes. The mesoscale model dataset includes all the meteorological variables necessary to calculate wind energy production. Individual time series were produced for over 30 thousand locations representing more than 900 GW of potential wind power generation.</abstract><cop>London, England</cop><pub>Multi-Science Publishing Company</pub><doi>10.1260/0309-524X.32.4.325</doi><tpages>14</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0309-524X
ispartof Wind engineering, 2008-06, Vol.32 (4), p.325-338
issn 0309-524X
2048-402X
language eng
recordid cdi_osti_scitechconnect_1021223
source Sage Journals; JSTOR
subjects Datasets
FORECASTING
Forecasting models
MITIGATION
Modeling
Numerical weather forecasting
PRODUCTION
Renewable energy
RESOLUTION
SPATIAL RESOLUTION
Turbines
WEATHER
Weather forecasting
Wind
WIND ENERGY
WIND POWER
Wind velocity
title Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.)
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T09%3A45%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_osti_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Creating%20the%20Dataset%20for%20the%20Western%20Wind%20and%20Solar%20Integration%20Study%20(U.S.A.)&rft.jtitle=Wind%20engineering&rft.au=Potter,%20Cameron%20W.&rft.aucorp=National%20Renewable%20Energy%20Lab.%20(NREL),%20Golden,%20CO%20(United%20States)&rft.date=2008-06-01&rft.volume=32&rft.issue=4&rft.spage=325&rft.epage=338&rft.pages=325-338&rft.issn=0309-524X&rft.eissn=2048-402X&rft_id=info:doi/10.1260/0309-524X.32.4.325&rft_dat=%3Cjstor_osti_%3E43856918%3C/jstor_osti_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=20382721&rft_id=info:pmid/&rft_jstor_id=43856918&rft_sage_id=10.1260_0309-524X.32.4.325&rfr_iscdi=true