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An algorithm for the calculation of the light distribution in photovoltaic greenhouses

机译:光伏温室光分布的计算算法

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摘要

This study introduces a novel algorithm to estimate the cumulated global radiation inside photovoltaic (PV) greenhouses at the desired time interval. The direct and diffuse radiation were calculated on several observations points (OPs) inside the PV greenhouse. The PV panels were assimilated to polygons that can overlap the sun path seen from a specific OP. The algorithm was tested in a greenhouse with 50% PV cover ratio on the roof. The results were showed as the percentage ratio of the cumulated yearly global radiation with and without PV array on the roof (G(GR)), and used to draw maps of light distribution on different canopy heights (from 0.0 to 2.0 m). The maps displayed the variability of the light distribution and the most adversely affected zones inside the PV greenhouse. The yearly G(GR) increased with the canopy height on the zones under the plastic cover (G(GR) from 59% at 0.0 m to 73% at 2.0 m), and decreased under the PV cover (G(GR) from 57% at 0.0 m to 40% at 2.0 m). Most zones close to the side walls and the gable walls were the least affected by shading on all canopy heights. The different light distribution on the canopy heights showed that the incident solar energy on the crop changes consistently, according to the growth stage of the plants. The algorithm can be applied to several PV greenhouse types and may provide a decision support tool for the identification of the most suitable plant species, based on their light requirements. (C) 2016 Elsevier Ltd. All rights reserved.
机译:这项研究介绍了一种新颖的算法,可以估算在所需时间间隔内光伏(PV)温室内的累积全球辐射。在PV温室内的几个观测点(OP)上计算了直接辐射和散射辐射。 PV面板被吸收为可以与从特定OP看到的太阳路径重叠的多边形。该算法在屋顶上PV覆盖率为50%的温室中进行了测试。结果显示为在屋顶上有和没有PV阵列的情况下,年度全球总辐射的累积百分比(G(GR)),并用于绘制不同冠层高度(从0.0到2.0 m)的光分布图。这些地图显示了光分布的变化以及光伏温室内受影响最严重的区域。年度G(GR)随着塑料覆盖下区域的冠层高度而增加(G(GR)从0.0 m的59%降至2.0 m下的73%),而在PV覆盖层下的区域(G(GR)从57 m 0.0 m时的%到2.0 m时的40%)。在所有树冠高度上,大多数靠近侧壁和山墙的区域受阴影影响最小。冠层高度上不同的光分布表明,根据植物的生长阶段,入射到作物上的太阳能不断变化。该算法可以应用于多种PV温室类型,并且可以根据其光需求为最合适的植物种类识别提供决策支持工具。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Solar Energy》 |2017年第1期|38-48|共11页
  • 作者单位

    Shimane Univ, Fac Life & Environm Sci, 1060 Nishikawatsu, Matsue, Shimane 6908504, Japan;

    Univ Sassari, Div Agron & Plant Genet, Dept Agr, Viale Italia 39, I-07100 Sassari, Sardinia, Italy;

    Agris Sardegna, Dept Plant Sci, Viale Trieste 111, I-09123 Cagliari, Sardinia, Italy;

    Agris Sardegna, Dept Plant Sci, Viale Trieste 111, I-09123 Cagliari, Sardinia, Italy;

    Univ Calif Davis, Dept Food Sci & Technol, Davis, CA 95616 USA;

    Univ Sassari, Dept Agr, Div Agr Engn, Viale Italia 39, I-07100 Sassari, Italy;

    Univ Sassari, Dept Agr, Div Agr Engn, Viale Italia 39, I-07100 Sassari, Italy;

    Shimane Univ, Fac Life & Environm Sci, 1060 Nishikawatsu, Matsue, Shimane 6908504, Japan;

  • 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

    Renewable energy; Solar radiation; Crop; Shading;

    机译:可再生能源;太阳辐射;作物;遮荫;

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