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Internal illumination prediction based on a simplified radiosity algorithm

机译:基于简化光能传递算法的内部照明预测

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摘要

This paper describes a new model for predicting natural interior illumination in the urban context. A simplified radiosity algorithm is used to define the external luminous environment and this model structure is used to predict internal illumination from sky and external obstructions for the range of sky conditions. This illumination is predicted with comparable accuracy to the ray tracing program RADIANCE, but at a computational cost several orders of magnitude lower. A standard diffusing sphere approximation (the BRS split flux equation) is currently used to solve internally reflected light. Comparisons suggest that the accuracy of this approach is adequate for the purpose of predicting the energy implications of photoresponsive lighting control. The model is in a form readily amenable for inclusion into other programs that require internal illuminance as an input, to improve the accuracy of their predictions without recourse to external simulation programs.
机译:本文介绍了一种用于预测城市环境中自然室内照明的新模型。简化的光能传递算法用于定义外部发光环境,此模型结构用于根据天空和范围内的天空条件预测来自天空的内部照明和外部障碍物。可以以与光线跟踪程序RADIANCE相当的精度来预测这种照明,但是在计算成本上要低几个数量级。当前使用标准扩散球近似(BRS分裂通量方程)来求解内部反射光。比较表明,该方法的准确性足以预测光响应照明控制的能量影响。该模型具有易于包含在需要内部照度作为输入的其他程序中的形式,以提高其预测的准确性,而无需求助于外部仿真程序。

著录项

  • 来源
    《Solar Energy》 |2006年第3期|p.260-267|共8页
  • 作者

    Darren Robinson; Andrew Stone;

  • 作者单位

    Solar Energy and Building Physics Laboratory, Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland;

  • 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 太阳能技术;
  • 关键词

    daylight; radiosity; model; theory; validation;

    机译:日光;辐射度;模型;理论;验证;

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