利用威布尔分布研究纳罗克县风力特性及风电潜力估算

Steven Okoth, Otieno Fredrick, Isaac Motochi
{"title":"利用威布尔分布研究纳罗克县风力特性及风电潜力估算","authors":"Steven Okoth, Otieno Fredrick, Isaac Motochi","doi":"10.9734/jenrr/2023/v15i2305","DOIUrl":null,"url":null,"abstract":"Aim: To investigate wind characteristics and estimate wind power density of Narok weather station in Narok county using Weibull distribution.
 Research Design: Historical hourly wind direction and speed data recorded by the Kenya Meteorological Department in Narok weather station was analyzed.
 Place and duration: The study utilized data samples collected at Narok weather station over a period spanning from 2011 to 2021.
 Methods: To assess the temporal characteristics, a statistical average technique was employed. The spatial aspect, specifically wind speed variation with height, was evaluated through wind speed extrapolation using the power law. The dominant wind direction was determined by plotting a polar chart based on a frequency distribution table prepared using both wind direction and wind speed data. The turbulence intensity of the wind was calculated using the turbulence intensity equation. The Weibull parameters were estimated using the maximum likelihood estimation method. The Weibull probability distribution was used to analyze wind speed distribution and power density. The extrapolated Weibull parameters were utilized to calculate wind power density at various heights. The accuracy of the wind regime distribution in Narok was assessed by employing the R2 technique.
 Results: The wind regime in Narok exhibited an average annual wind speed of 4.3 m/s and a mean wind power density of 126 W/m2. Analysis of diurnal wind speed variation revealed peak wind speeds around noon, with wind speeds exceeding the cut-in wind threshold (3 m/s) between 0430hrs and 2100hrs. March and October were identified as the windiest months, exhibiting the highest wind power densities, while June and December demonstrated the lowest values. Wind speed and, consequently, wind power density increased exponentially with height. The prevailing wind directions in Narok were primarily from the East, followed by the North and North West. The wind regime in Narok exhibited turbulence, as indicated by average turbulence intensities exceeding 0.25. The wind regime in Narok was accurately described by the Weibull distribution, with an approximation accuracy of 0.94 based on the R2 error.
 Conclusion: The wind regime in Narok is generally suitable for extracting wind power at heights above 15 m, regardless of the scale of the wind power extraction.","PeriodicalId":499811,"journal":{"name":"Journal of Energy Research and Reviews","volume":"243 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation of Wind Characteristics and Estimation of Wind Power Potential of Narok County Using Weibull Distribution\",\"authors\":\"Steven Okoth, Otieno Fredrick, Isaac Motochi\",\"doi\":\"10.9734/jenrr/2023/v15i2305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aim: To investigate wind characteristics and estimate wind power density of Narok weather station in Narok county using Weibull distribution.
 Research Design: Historical hourly wind direction and speed data recorded by the Kenya Meteorological Department in Narok weather station was analyzed.
 Place and duration: The study utilized data samples collected at Narok weather station over a period spanning from 2011 to 2021.
 Methods: To assess the temporal characteristics, a statistical average technique was employed. The spatial aspect, specifically wind speed variation with height, was evaluated through wind speed extrapolation using the power law. The dominant wind direction was determined by plotting a polar chart based on a frequency distribution table prepared using both wind direction and wind speed data. The turbulence intensity of the wind was calculated using the turbulence intensity equation. The Weibull parameters were estimated using the maximum likelihood estimation method. The Weibull probability distribution was used to analyze wind speed distribution and power density. The extrapolated Weibull parameters were utilized to calculate wind power density at various heights. The accuracy of the wind regime distribution in Narok was assessed by employing the R2 technique.
 Results: The wind regime in Narok exhibited an average annual wind speed of 4.3 m/s and a mean wind power density of 126 W/m2. Analysis of diurnal wind speed variation revealed peak wind speeds around noon, with wind speeds exceeding the cut-in wind threshold (3 m/s) between 0430hrs and 2100hrs. March and October were identified as the windiest months, exhibiting the highest wind power densities, while June and December demonstrated the lowest values. Wind speed and, consequently, wind power density increased exponentially with height. The prevailing wind directions in Narok were primarily from the East, followed by the North and North West. The wind regime in Narok exhibited turbulence, as indicated by average turbulence intensities exceeding 0.25. The wind regime in Narok was accurately described by the Weibull distribution, with an approximation accuracy of 0.94 based on the R2 error.
 Conclusion: The wind regime in Narok is generally suitable for extracting wind power at heights above 15 m, regardless of the scale of the wind power extraction.\",\"PeriodicalId\":499811,\"journal\":{\"name\":\"Journal of Energy Research and Reviews\",\"volume\":\"243 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Energy Research and Reviews\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9734/jenrr/2023/v15i2305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Energy Research and Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/jenrr/2023/v15i2305","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

目的:利用Weibull分布研究纳罗克县纳罗克气象站的风力特征,估算其风力密度。研究设计:分析肯尼亚气象部门在Narok气象站记录的历史每小时风向和风速数据。 地点和持续时间:该研究利用了2011年至2021年期间在Narok气象站收集的数据样本。方法:采用统计平均法评价时间特征。空间方面,特别是风速随高度的变化,通过使用幂律的风速外推来评估。根据风向和风速数据编制的频率分布表,绘制极坐标图,确定主导风向。利用湍流强度方程计算了风的湍流强度。采用极大似然估计法对威布尔参数进行估计。采用威布尔概率分布分析风速分布和功率密度。利用外推的威布尔参数计算不同高度的风力密度。利用R2技术对纳罗克地区风况分布的精度进行了评价。 结果:纳罗克地区年平均风速为4.3 m/s,平均风力密度为126 W/m2。日风速变化分析显示,风速在中午前后达到峰值,在0430 - 2100hrs期间风速超过临界值(3 m/s)。3月和10月风力密度最大,6月和12月风力密度最小。风速和风力密度随高度呈指数增长。纳罗克的盛行风向以东风为主,其次为北风和西北风。纳罗克地区的风况表现为湍流,平均湍流强度超过0.25。威布尔分布准确地描述了纳罗克的风况,基于R2误差的近似精度为0.94。 结论:无论抽风规模如何,纳罗克地区的风况一般适合抽风高度在15 m以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of Wind Characteristics and Estimation of Wind Power Potential of Narok County Using Weibull Distribution
Aim: To investigate wind characteristics and estimate wind power density of Narok weather station in Narok county using Weibull distribution. Research Design: Historical hourly wind direction and speed data recorded by the Kenya Meteorological Department in Narok weather station was analyzed. Place and duration: The study utilized data samples collected at Narok weather station over a period spanning from 2011 to 2021. Methods: To assess the temporal characteristics, a statistical average technique was employed. The spatial aspect, specifically wind speed variation with height, was evaluated through wind speed extrapolation using the power law. The dominant wind direction was determined by plotting a polar chart based on a frequency distribution table prepared using both wind direction and wind speed data. The turbulence intensity of the wind was calculated using the turbulence intensity equation. The Weibull parameters were estimated using the maximum likelihood estimation method. The Weibull probability distribution was used to analyze wind speed distribution and power density. The extrapolated Weibull parameters were utilized to calculate wind power density at various heights. The accuracy of the wind regime distribution in Narok was assessed by employing the R2 technique. Results: The wind regime in Narok exhibited an average annual wind speed of 4.3 m/s and a mean wind power density of 126 W/m2. Analysis of diurnal wind speed variation revealed peak wind speeds around noon, with wind speeds exceeding the cut-in wind threshold (3 m/s) between 0430hrs and 2100hrs. March and October were identified as the windiest months, exhibiting the highest wind power densities, while June and December demonstrated the lowest values. Wind speed and, consequently, wind power density increased exponentially with height. The prevailing wind directions in Narok were primarily from the East, followed by the North and North West. The wind regime in Narok exhibited turbulence, as indicated by average turbulence intensities exceeding 0.25. The wind regime in Narok was accurately described by the Weibull distribution, with an approximation accuracy of 0.94 based on the R2 error. Conclusion: The wind regime in Narok is generally suitable for extracting wind power at heights above 15 m, regardless of the scale of the wind power extraction.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信