...
首页> 外文期刊>Energy >Solar energy prediction and verification using operational model forecasts and ground-based solar measurements
【24h】

Solar energy prediction and verification using operational model forecasts and ground-based solar measurements

机译:使用运营模型预测和基于地面的太阳测量来预测和验证太阳能

获取原文
获取原文并翻译 | 示例

摘要

The present study focuses on the predictions and verification of these predictions of solar energy using ground-based solar measurements from the Hellenic Network for Solar Energy and the National Observatory of Athens network, as well as solar radiation operational forecasts provided by the MM5 mesoscale model. The evaluation was carried out independently for the different networks, for two forecast horizons (1 and 2 days ahead), for the seasons of the year, for varying solar elevation, for the indicative energy potential of the area, and for four classes of cloud cover based on the calculated clearness index (k(t)): CS (clear sky), SC (scattered clouds), BC (broken clouds) and OC (overcast). The seasonal dependence presented relative rRMSE (Root Mean Square Error) values ranging from 15% (summer) to 60% (winter), while the solar elevation dependence revealed a high effectiveness and reliability near local noon (rRMSE similar to 30%). An increment of the errors with cloudiness was also observed. For CS with mean GHI (global horizontal irradiance) similar to 650 W/m(2) the errors are 8%, for SC 20% and for BC and OC the errors were greater (>40%) but correspond to much lower radiation levels (<120 W/m(2)) of consequently lower energy potential impact. The total energy potential for each ground station ranges from 1.5 to 1.9 MWh/m(2), while the mean monthly forecast error was found to be consistently below 10%. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本研究的重点是利用希腊太阳能网络和雅典国家天文台网的地面太阳测量以及MM5中尺度模型提供的太阳辐射运行预报,对这些太阳能的预测进行预测和验证。评估是针对不同的网络,两个预测范围(提前1天和2天),一年中的季节,不同的太阳高度,该地区的指示性能源潜力以及四类云分别进行的根据计算的净度指数(k(t))进行覆盖:CS(晴空),SC(散云),BC(残云)和OC(阴天)。季节依赖性显示相对rRMSE(均方根误差)值的范围从15%(夏季)到60%(冬季),而太阳高度依赖性显示在当地正午时具有很高的有效性和可靠性(rRMSE类似于30%)。还观察到云度误差的增加。对于平均GHI(整体水平辐照度)接近650 W / m(2)的CS,误差为8%,对于SC为20%,对于BC和OC,误差较大(> 40%),但对应的辐射水平低得多(<120 W / m(2)),从而降低了潜在的能源影响。每个地面站的总潜在能量范围为1.5至1.9 MWh / m(2),而平均每月预测误差被发现始终低于10%。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy 》 |2015年第2期| 1918-1930| 共13页
  • 作者单位

    Natl Observ Athens, Inst Environm Res & Sustainable Dev, Athens, Greece;

    Natl Observ Athens, Inst Environm Res & Sustainable Dev, Athens, Greece;

    Natl Observ Athens, Inst Environm Res & Sustainable Dev, Athens, Greece;

    Natl Observ Athens, Inst Environm Res & Sustainable Dev, Athens, Greece;

    Aristotle Univ Thessaloniki, Dept Phys, Lab Atmospher Phys, Thessaloniki, Greece;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Solar energy; Forecast; Radiation; Solar elevation; Cloud cover;

    机译:太阳能;预报;辐射;太阳海拔;云量;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号