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Effect of Climate Change on Wind Persistence at Selected Indian Offshore Locations

机译:在选定的印度离岸地点对气候变化对风力持久性的影响

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The offshore wind energy is slated to meet world's energy demand significantly in future. In India three offshore regions along the eastern, southern and western parts of the coastline, namely, Rameshwaram, Kanyakumari and Jakhau, have been identified by the Government of India for offshore wind energy extraction. This is based on the wind power potential assessed with the help of historical data. One of the wind parameters that plays an important role in evaluating the energy resource is the persistence of mean wind, often known through the positive serial correlation in a given wind time series. The persistence observed through historical data however may not remain same in future due to the effect of climate change induced by global warming. In this paper, the wind speed persistence at the above mentioned three locations has been analyzed in the light of climate change. The daily wind speeds for the future time slice of 2006-2032 are derived from the Canadian General Circulation Model: CGCM4 run with RCP 4.5 warming scenario. Such projected wind information is compared with the historical wind over the time slice of 1979-2005 and belonging to the 'CGCM: 20C3M' model. The GCM data suffer from bias and this is removed using the quantile mapping method. The stationarity test of 'unit-root' indicates that the daily wind speed for each station is stationarity. In order to quantify the persistence at the turbine cut-in speed of 4 m/s, the wind speed duration curve (WSDC) is drawn. The results demonstrate a decrease in the persistence in future of the order of 3% and 8% at Rameshwaram and Jakhau, respectively and an increase in it by around 3% at Kanyakumari. These trends are further confirmed by the alternate autocorrelation function approach. From the wind persistence point of view alone therefore the power extraction at Kanyakumari may go up in future, which may not be the case with the two other sites. The variances across the three datasets are analyzed using the Levene's test, which showed that the cross-variance across the three locations might decrease in future, but the individual variance at Jakhau might increase and the same at Rameshwaram and Kanyakumari might remain the same in future, not much affecting the energy extraction over the latter two sites.
机译:海上风能在未来迎接世界的能源需求。在印度的三个海上地区,南部和西部的海岸地区,即印度政府为海上风能提取而确定了印度的南部和西部地区,即Rameshwaram,Kanyakumari和Jakhau。这是基于在历史数据的帮助下评估的风力电位。在评估能量资源方面发挥着重要作用的风力参数之一是平均风的持续存在,通常通过给定的风时间序列中的正串联相关性所知。然而,由于全球变暖引起的气候变化的影响,通过历史数据观察的持续性可能不会保持不变。在本文中,根据气候变化,分析了上述三个位置的风速持久性。 2006-2032的未来时间片的日常风速来自加拿大通用循环模型:CGCM4运行RCP 4.5升温场景。这些投影风信息与1979 - 2005年的时间片中的历史风相比,属于“CGCM:20C3M”模型。 GCM数据遭受偏差,并且使用量程映射方法删除。 “单位根”的实体测试表明每个站的日常风速是有实质性的。为了量化涡轮机切割速度为4 m / s的持续性,绘制了风速持续时间曲线(WSDC)。结果证明,在雷斯卡姆和贾伯伊的未来,未来的持续性减少了3%和8%,在Kanyakumari的增加约3%。通过替代的自相关函数方法进一步证实了这些趋势。因此,单独的风力持久性观点来看,Kanyakumari的电力提取可能会在未来上升,这是另外两个网站的情况。使用Levene的测试分析了三个数据集的差异,这表明这三个位置的交叉变化可能会降低,但Jakhau的个体方差可能会增加,而在Rameshwaram和Kanyakumari将来可能保持不变,影响后两段地点的能量提取并不多。

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