{"title":"地形相关垂直风分布估算","authors":"Karolina Lamkowska, P. Domagalski","doi":"10.5604/01.3001.0010.4830","DOIUrl":null,"url":null,"abstract":". We propose a novel technique for estimation of vertical wind distribution. Proposed modification of logarithmic profile relies on introducing topography dependent dispersion parameter calculated based on fractal dimension of topography. Initial results compared against full scale wind measurement show high agreement. Proposed methodology brings promise of precise a priori calculations of wind profile in case of non-flat, nonhomogeneous surface roughness terrain, improving the precision of wind potential estimation for wind energy sector.","PeriodicalId":142227,"journal":{"name":"Informatics, Control, Measurement in Economy and Environment Protection","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TOPOGRAPHY DEPENDENT VERTICAL WIND DISTRIBUTION ESTIMATION\",\"authors\":\"Karolina Lamkowska, P. Domagalski\",\"doi\":\"10.5604/01.3001.0010.4830\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". We propose a novel technique for estimation of vertical wind distribution. Proposed modification of logarithmic profile relies on introducing topography dependent dispersion parameter calculated based on fractal dimension of topography. Initial results compared against full scale wind measurement show high agreement. Proposed methodology brings promise of precise a priori calculations of wind profile in case of non-flat, nonhomogeneous surface roughness terrain, improving the precision of wind potential estimation for wind energy sector.\",\"PeriodicalId\":142227,\"journal\":{\"name\":\"Informatics, Control, Measurement in Economy and Environment Protection\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Informatics, Control, Measurement in Economy and Environment Protection\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/01.3001.0010.4830\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatics, Control, Measurement in Economy and Environment Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/01.3001.0010.4830","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TOPOGRAPHY DEPENDENT VERTICAL WIND DISTRIBUTION ESTIMATION
. We propose a novel technique for estimation of vertical wind distribution. Proposed modification of logarithmic profile relies on introducing topography dependent dispersion parameter calculated based on fractal dimension of topography. Initial results compared against full scale wind measurement show high agreement. Proposed methodology brings promise of precise a priori calculations of wind profile in case of non-flat, nonhomogeneous surface roughness terrain, improving the precision of wind potential estimation for wind energy sector.