Yahia Amoura, J. Lima, Santiago Torres, Ana I. Pereira
{"title":"A Statistical Estimation of Wind Data Generation in the Municipality of Bragança, Portugal.","authors":"Yahia Amoura, J. Lima, Santiago Torres, Ana I. Pereira","doi":"10.1109/CPEEE56777.2023.10217681","DOIUrl":null,"url":null,"abstract":"The existing wind energy potential in Portugal makes way for developing electrical energy in the northern region. In this work, wind speed data were statistically investigated using Weibull distribution to identify the characteristics of converting wind energy in Serra da Nogueira mountain in the Municipality of Braganca. An hourly wind speed time series data set from January 2002 to December 2021 have been exported from OPEN-METEO online platform after reliability data was proved through a correlation study with real data. The Weibull parameters including form K and scale C factors, frequency distribution function f(v), has been used to describe the best wind distribution. Moreover, statistical estimation of wind energy potential at different altitudes (10m, 50m, 100m,150m, and 200m) throughout vertical extrapolation and wind direction study is performed to identify the suitable high wind turbine hub. Finally, the evaluation of the predicted electrical energy produced is done while considering the judicious choice of the wind turbines and the charge factor. The Weibull parameters, frequency distribution, wind speed stability, and potentially provided by this study were motivating results for implementing wind farm in the mountain of Serra da Nogueira.","PeriodicalId":364883,"journal":{"name":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPEEE56777.2023.10217681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The existing wind energy potential in Portugal makes way for developing electrical energy in the northern region. In this work, wind speed data were statistically investigated using Weibull distribution to identify the characteristics of converting wind energy in Serra da Nogueira mountain in the Municipality of Braganca. An hourly wind speed time series data set from January 2002 to December 2021 have been exported from OPEN-METEO online platform after reliability data was proved through a correlation study with real data. The Weibull parameters including form K and scale C factors, frequency distribution function f(v), has been used to describe the best wind distribution. Moreover, statistical estimation of wind energy potential at different altitudes (10m, 50m, 100m,150m, and 200m) throughout vertical extrapolation and wind direction study is performed to identify the suitable high wind turbine hub. Finally, the evaluation of the predicted electrical energy produced is done while considering the judicious choice of the wind turbines and the charge factor. The Weibull parameters, frequency distribution, wind speed stability, and potentially provided by this study were motivating results for implementing wind farm in the mountain of Serra da Nogueira.
葡萄牙现有的风能潜力为北部地区发展电力铺平了道路。本文利用威布尔分布对布拉干卡市Serra da Nogueira山的风速数据进行了统计研究,以确定该地区的风能转换特征。OPEN-METEO在线平台上2002年1月至2021年12月逐时风速时间序列数据集,通过与实际数据的相关性研究验证了数据的可靠性,导出了该数据集。威布尔参数包括形式K和尺度C因子,频率分布函数f(v)被用来描述最佳风分布。通过垂直外推和风向研究,对不同海拔高度(10m、50m、100m、150m、200m)的风能势进行统计估算,确定适合的高空风电轮毂。最后,在考虑风电机组选型和电荷因数的情况下,对预测发电量进行了评估。该研究提供的威布尔参数、频率分布、风速稳定性和潜在的研究结果对在Serra da Nogueira山区实施风电场具有激励作用。