{"title":"巴西Santa victoria do Palmar一座30兆瓦风电场的风力涡轮机等级识别","authors":"G. Augusto, L. G. Lim, A. Culaba","doi":"10.1109/HNICEM.2017.8269471","DOIUrl":null,"url":null,"abstract":"The present study discussed the wind resource assessment of a 30MW wind farm in Santa Vitoria do Palmar, Brazil. The wind regime at the site was evaluated by determining the Weibull parameters, annual mean wind speed, turbulence intensity and predicted annual energy yield. The Weibull parameters were calculated using different statistical estimation methods to predict the probability density function and cumulative distribution function of wind regime. The analytical results were compared with the numerical output obtained from commercial software such as WAsP. WAsP and Windfarmer were also used to perform numerical calculation that generates an observed wind climate report and to predict the annual net energy production at the site. Calculation results revealed that the site is suitable for Germanischer Lloyd (GL) and International Electrotechnical Commission (IEC) Class II wind turbine generator with characteristic turbulence intensity at reference height according to GL and IEC Subclass B. It was also found that the estimated annual energy production of wind farm based on the proposed turbine arrangement is ranging from 96.2 GWh to 98 GWh using WAsP and Windfarmer softwares, respectively.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wind turbine class identification for a 30 MW wind farm in Santa Vitoria do Palmar, Brazil\",\"authors\":\"G. Augusto, L. G. Lim, A. Culaba\",\"doi\":\"10.1109/HNICEM.2017.8269471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study discussed the wind resource assessment of a 30MW wind farm in Santa Vitoria do Palmar, Brazil. The wind regime at the site was evaluated by determining the Weibull parameters, annual mean wind speed, turbulence intensity and predicted annual energy yield. The Weibull parameters were calculated using different statistical estimation methods to predict the probability density function and cumulative distribution function of wind regime. The analytical results were compared with the numerical output obtained from commercial software such as WAsP. WAsP and Windfarmer were also used to perform numerical calculation that generates an observed wind climate report and to predict the annual net energy production at the site. Calculation results revealed that the site is suitable for Germanischer Lloyd (GL) and International Electrotechnical Commission (IEC) Class II wind turbine generator with characteristic turbulence intensity at reference height according to GL and IEC Subclass B. It was also found that the estimated annual energy production of wind farm based on the proposed turbine arrangement is ranging from 96.2 GWh to 98 GWh using WAsP and Windfarmer softwares, respectively.\",\"PeriodicalId\":104407,\"journal\":{\"name\":\"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HNICEM.2017.8269471\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM.2017.8269471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究讨论了巴西Santa victoria do Palmar一个30MW风电场的风力资源评估。通过确定威布尔参数、年平均风速、湍流强度和预测年发电量,对场址的风况进行了评估。采用不同的统计估计方法计算威布尔参数,预测风况的概率密度函数和累积分布函数。分析结果与商业软件(如WAsP)的数值输出进行了比较。WAsP和Windfarmer还用于进行数值计算,生成观测到的风气候报告,并预测现场的年净能源产量。计算结果表明,该场址适合德国劳氏船级社(GL)和国际电工委员会(IEC)ⅱ类风力发电机组,根据GL和IEC b类标准,在参考高度具有特征湍流强度。通过WAsP和Windfarmer软件计算,根据所建议的涡轮机布置,风电场的年发电量估计分别在96.2 GWh至98 GWh之间。
Wind turbine class identification for a 30 MW wind farm in Santa Vitoria do Palmar, Brazil
The present study discussed the wind resource assessment of a 30MW wind farm in Santa Vitoria do Palmar, Brazil. The wind regime at the site was evaluated by determining the Weibull parameters, annual mean wind speed, turbulence intensity and predicted annual energy yield. The Weibull parameters were calculated using different statistical estimation methods to predict the probability density function and cumulative distribution function of wind regime. The analytical results were compared with the numerical output obtained from commercial software such as WAsP. WAsP and Windfarmer were also used to perform numerical calculation that generates an observed wind climate report and to predict the annual net energy production at the site. Calculation results revealed that the site is suitable for Germanischer Lloyd (GL) and International Electrotechnical Commission (IEC) Class II wind turbine generator with characteristic turbulence intensity at reference height according to GL and IEC Subclass B. It was also found that the estimated annual energy production of wind farm based on the proposed turbine arrangement is ranging from 96.2 GWh to 98 GWh using WAsP and Windfarmer softwares, respectively.