应用于尼日利亚风速数据的十种威布尔分布参数估计数值方法的性能评估

I. K. Okakwu, A. S. Alayande, O. F. Adizua, S. O. Giwa, A. A. Okubanjo, B. O Orogbade, A. O. David, P. O. Alao
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引用次数: 0

摘要

要利用风能,就必须全面了解风的分布情况,并对研究地点的风速进行精确预测。本研究采用了十种数值方法(NEM),包括莱森经验法(EML)、百分位数法(PCM)、最大似然法(MLM)、修正最大似然法(MMLM)、贾斯特斯经验法(EMJ)、替代矩法(AMM)、中位数和四分位数法(MQM)、在尼日利亚的五个地点(乔斯、卡诺、迈杜古里、阿布贾和阿库雷),应用了基于功率密度法的概率加权矩法(PWMBPM)、马布楚法(MOMAB)和能量方差法(EVM)来估计双参数(k 和 c)Weibull(Wbl)分布。使用五个不同的指标对这些 NEM 的性能进行了评估,并为每个研究地点确定了最有效的 NEM。研究中使用的研究地点的每日风速数据来自尼日利亚气象局,时间跨度长达 11 年。k 和 c 参数范围分别为 2.91 至 5.46 和 9.95 至 10.26(卡诺);2.31 至 4.50 和 5.63 至 6.20(迈杜古里);3.19 至 7.61 和 12.16 至 12.99(乔斯);2.18 至 6.77 和 4.99 至 5.50(阿布贾),以及 1.84 至 3.18 和 3.83 至 3.90(阿库雷)。研究结果表明,在卡诺、迈杜古里、乔斯、阿布贾和阿库雷地区,估算 Wbl 参数的最佳方法分别是 MMLM、MMLM、MQM、MQM 和 EMJ、EML 和 AMM,而 MOMAB 在所有研究地点都是性能最差的 NEM。结果还显示,Vms、Vmps 和 V emax 的变化范围分别为 3.47 米/秒至 11.63 米/秒、3.40 米/秒至 11.90 米/秒和 4.58 米/秒至 12.59 米/秒,其中乔斯的变化最大。 在轮毂高度为 10 米时,PWPD 从 36.45 瓦/平方米(阿库雷)增至 1000.06 瓦/平方米(乔斯)。此外,迈杜古里被确定为适合独立应用的地点,而阿布贾和阿库雷则被认为不适合风能应用。
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Performance evaluation of ten numerical methods for Weibull distribution parameter estimation applied to Nigerian wind speed data
Utilizing wind energy necessitates a thorough understanding of wind profiles as well as a precise forecast of wind speed at a study location. In this study, ten Numerical Methods (NEMs), which include the Empirical Method of Lysen (EML), Percentile Method (PCM), Maximum Likelihood Method (MLM), Modified Maximum Likelihood Method (MMLM), Empirical Method of Justus (EMJ), Alternative Moment Method (AMM), Median and Quartiles Method (MQM), Probability Weighted Moments Based on Power Density Method (PWMBPM), Method of Mabchour (MOMAB) and Energy Variance Method (EVM) were applied to estimate the two- parameter (k and c) Weibull (Wbl) distribution in five locations (Jos, Kano, Maiduguri, Abuja, and Akure) in Nigeria. The performance of these NEMs was assessed using five different metrics and the most effective NEM was determined for each studied location. Daily wind speed data spanning 11 years for the studied locations were sourced from the Meteorological Agency in Nigeria and used in this study. The k and c parameters range from 2.91 to 5.46 and 9.95 to 10.26 (Kano); 2.31 to 4.50 and 5.63 to 6.20 (Maiduguri); 3.19 to 7.61 and 12.16 to 12.99 (Jos); 2.18 to 6.77 and 4.99 to 5.50 (Abuja), and 1.84 to 3.18 and 3.83 to 3.90 (Akure). Findings revealed that the best methods for estimating Wbl parameters for the Kano, Maiduguri, Jos, Abuja, and Akure locations were MMLM, MMLM, MQM, MQM, and EMJ, EML, and AMM, respectively, as MOMAB remained the least performing NEM for all the studied locations. The results also showed that the Vms , Vmps , and V emax varied from 3.47 m/s to 11.63 m/s, 3.40 m/s to 11.90 m/s, and 4.58 m/s to 12.59 m/s, respectively, with the most recorded for Jos. The PWPD  augmented from 36.45 W/m2 (Akure) to 1000.06 W/m2 Jos), at a hub height of 10 m.Based on these results Jos was the best location for installing wind turbines while Kano was an excellent place for integrating the grid. Additionally, the Maiduguri location was determined to be suitable for a stand-alone application while Abuja and Akure were considered to be unsuitable for wind energy applications. 
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