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On the calibration and applicability of global solar radiation models based on temperature extremities in India

机译:基于印度极端温度的全球太阳辐射模型的校准和适用性

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摘要

In the present work, global solar radiation models based on the difference of monthly-average daily ambient temperature extremes are calibrated for country-wide application in India. Solar radiation measurements obtained from the Indian Meteorological Department for 22 locations of India for a duration of 15 years (1986-2000) were used. Solar radiation models based on temperature extremes were reviewed and 33 forms were considered for analysis. The models were derived using all the collected data by fitting a model form and extracting the coefficients with the help of DataFit® software. The calibrated models were analyzed and compared using statistical tools and ranked using Global Performance Indicator (GPI) where a higher value represented a model's better performance. Then, the models were arranged using GPI and it was found that model form 33 (fourth order polynomial) resulted in best estimation capability with a GPI of 0.0763. Further, Model 23, Model 28, Model 24, and Model 26 were also among the top models with GPI values of 0.0655, 0.0587, 0.0478, and 0.0426, respectively. Best ranking models were also used to obtain estimates for representative sites in regions with different climate characteristics within India and it was found that the models performed reasonably well.
机译:在目前的工作中,基于月平均每日环境极端温度差异的全球太阳辐射模型已经过校准,可在印度全国范围内应用。使用从印度气象局获得的印度22个地点的太阳辐射测量值,持续时间为15年(1986-2000年)。审查了基于极端温度的太阳辐射模型,并考虑了33种形式进行分析。通过拟合模型形式并借助DataFit®软件提取系数,使用所有收集的数据得出模型。使用统计工具对校准后的模型进行分析和比较,并使用全球绩效指标(GPI)对其进行排名,其中较高的值表示模型的性能较好。然后,使用GPI排列模型,发现模型形式33(四阶多项式)导致最佳估计能力,GPI为0.0763。此外,模型23,模型28,模型24和模型26也在GPI值分别为0.0655、0.0587、0.0478和0.0426的顶级模型之中。最佳排序模型还用于获得印度境内具有不同气候特征的地区的代表性站点的估计值,并且发现该模型表现良好。

著录项

  • 来源
    《Environmental progress》 |2020年第1期|e13236.1-e13236.13|共13页
  • 作者单位

    Department of Mechanical Engineering Aligarh Muslim University Aligarh India;

    Center of Research Excellence in Renewable Energy King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia;

    Department of Mechanical Engineering College of Engineering King Khalid University Abha Asir Saudi Arabia Research Center for Advanced Materials Science (RCAMS) King Khalid University Abha Asir Saudi Arabia;

    Department of Civil Engineering Universiti Teknologi Malaysia Johar Bahru Malaysia;

    Department of Mechanical Engineering College of Engineering King Khalid University Abha Asir Saudi Arabia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ambient temperature; empirical models; global performance indicator; solar radiation; statistical analysis;

    机译:环境温度实证模型全球绩效指标;太阳辐射;统计分析;
  • 入库时间 2022-08-18 05:26:38

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