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Classification of solar radiation zones and general models for estimating the daily global solar radiation on horizontal surfaces in China

机译：太阳辐射区的分类和估算中国水平面上每日全球太阳辐射的一般模型

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摘要

Classification of solar radiation zones constitutes the prerequisite for the establishment of regional daily global solar radiation (H) estimation general model. Current zone establishment methods are ordinary based on solar radiation observation stations (SROS) which present a sparse and non-uniform distribution. As a result, the possibility of misclassifications of the stations occurs in cases there are no records of radiation and far away from SROS. Therefore, by using k-means cluster and Support Vector Machine-Genetic Algorithm, a two-step radiation zoning method was proposed in this paper according to: (a) H, sunshine duration, temperature and relative humidity from 98 SROS and (b) sunshine duration, temperature and relative humidity from 562 stations without radiation. The method is capable to combine the SROS and the stations without radiation in the process of classification. Thus, these misclassifications have been effectively reduced and the accuracy of each classification has been significantly improved. Based on the method, five radiation zones have been identified. Concurrently, four sunshine-based models were obtained for each SROS and the analysis of statistical indexes indicated that the cubic models presented the best performances in each zone. According to the best site-specific models and radiation zones, the general models of regional H estimation were developed by introducing the geographical parameters, including latitude and altitude. The comparative results demonstrated that the general models proposed in this paper had better accuracies and can represent the general models for the H estimation of stations without radiation records in China.
机译：太阳辐射区的分类是建立区域每日全球太阳辐射（H）估计通用模型的前提。当前的区域建立方法是基于呈现稀疏和不均匀分布的太阳辐射观测站（SROS）的常规方法。结果，在没有辐射记录且远离SROS的情况下，可能会发生站分类错误的可能性。因此，利用k-means聚类和支持向量机遗传算法，根据以下因素，提出了一种两步辐射分区方法：（a）H，日照时长，98 SROS的温度和相对湿度；以及（b） 562个站点的日照时长，温度和相对湿度，无辐射。该方法能够在分类过程中将SROS和测站结合起来而没有辐射。因此，有效地减少了这些错误分类，并且显着提高了每种分类的准确性。基于该方法，已经确定了五个辐射区。同时，针对每个SROS获得了四个基于日照的模型，对统计指标的分析表明，立方模型在每个区域中表现最佳。根据最佳的特定地点模型和辐射区，通过引入地理参数（包括纬度和高度），开发了区域H估计的通用模型。比较结果表明，本文提出的通用模型具有较好的精度，可以代表我国无辐射记录台站H估计的通用模型。

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  • 来源
    《Energy Conversion & Management》 |2017年第12期|168-179|共12页
  • 作者

    Liu Yanfeng; Zhou Yong; Wang Dengjia; Wang Yingying; Li Yong; Zhu Ying;

  • 作者单位

    Xian Univ Architecture & Technol, Sch Environm & Municipal Engn, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China;

    Xian Univ Architecture & Technol, Sch Environm & Municipal Engn, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China;

    Xian Univ Architecture & Technol, Sch Environm & Municipal Engn, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China;

    Xian Univ Architecture & Technol, Sch Environm & Municipal Engn, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China;

    Xian Univ Architecture & Technol, Sch Environm & Municipal Engn, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China;

    Xian Univ Architecture & Technol, Sch Environm & Municipal Engn, 13 Yanta Rd, Xian 710055, Shaanxi, Peoples R China;

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

    Two-step solar radiation zoning method; Sunshine duration; Regional global solar radiation estimation; General model;

    机译：太阳辐射分两步法;日照时长;区域全球太阳辐射估计;通用模型;

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