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Increasing the temporal resolution of direct normal solar irradiance series in different climatic zones

机译:增加不同气候区的直接法向太阳辐照度序列的时间分辨率

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A precise knowledge of the high-frequency variation of the incoming Direct Normal solar Irradiance (DNI) is required for an accurate design and operation of Concentrating Solar Thermal Power (CSTP) plants. The time resolution of the numerical weather prediction models or satellite derived solar irradiance data are typically limited to 1-h (at best 15-min). Unfortunately, this resolution is not sufficient in the design and performance of a CSTP plant, which shows a nonlinear response to DNI governed by various thermal inertias due to their complex response characteristics. In this study, a new methodology has been developed to increase the temporal resolution of DNI series from 1-h to 1-min. This methodology is based upon the nondimensionalization of the daily DNI curve by the clear-sky envelope approach and uses the solar radiation data obtained in the one-year measurement campaign to characterize the DNI high-frequency dynamics at a given site. The evaluation of the method with 2 years of measured data in different climatic zones has resulted in KSI(%) (Kolmogorov-Smirnov test Integral parameter) and normalized root mean square deviation values below 23% and 22% respectively for each month, with negligible bias. Indicators of overall performance show an excellent agreement between measured and modeled 1-min DNI data for each month: average values for Nash-Sutcliffe efficiency, Willmott index of agreement and Legates coefficient of efficiency are found to be 0.90, 0.97 and 1.0, respectively. (C) 2015 Elsevier Ltd. All rights reserved.
机译:为了准确设计和运行集中式太阳能热发电(CSTP)电站,需要对传入的直接正常太阳辐照度(DNI)的高频变化有准确的了解。数值天气预报模型或卫星得出的太阳辐照度数据的时间分辨率通常限制为1小时(最多15分钟)。不幸的是,该分辨率在CSTP工厂的设计和性能上还不够,由于其复杂的响应特性,它对DNI的非线性响应受到各种热惯性的支配。在这项研究中,已经开发出一种新的方法来将DNI系列的时间分辨率从1小时提高到1分钟。该方法基于晴空包络法对每日DNI曲线的无量纲化,并使用在一年的测量活动中获得的太阳辐射数据来表征给定地点DNI的高频动态。用在不同气候区域的2年测量数据对该方法进行评估,得出每个月的KSI(%)(Kolmogorov-Smirnov测试积分参数)和均方根均方差值分别低于23%和22%,可以忽略不计偏压。总体绩效指标表明,每个月的实测和建模1分钟DNI数据之间具有极好的一致性:纳什-苏特克利夫效率,威尔莫特协议指数和效率法则系数的平均值分别为0.90、0.97和1.0。 (C)2015 Elsevier Ltd.保留所有权利。

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