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...
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Veröffentlicht in: | Wind engineering 2008-06, Vol.32 (4), p.325-338 |
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container_title | Wind engineering |
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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 |
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(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 & Communications Abstracts</collection><collection>Mechanical & 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. 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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.) |
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