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A pixel counting technique for sun patch assessment within building enclosures

机译:像素计数技术,用于评估建筑物外壳中的太阳斑

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摘要

Pixel counting (PxC) emerged as a powerful technique for external solar shading calculations of buildings, providing accurate results with great computational efficiency even for dense geometries. Motivated by this fact and because the technique can be also adapted to cope with interior surfaces without further ado, this paper aims at experimentally evaluating the PxC technique implemented in Domus software for calculating sun patch distribution within building enclosures. For the validation purpose, digital images were taken from the surfaces of an experimental house to compare with the simulation results obtained by using EnergyPlus and two PxC based tools: Domus and Shading II SketchUp plug-in. This first task has shown that the PxC presents results in good agreement with the experimental data, in terms of both location and area of the sun patch. Also, a second case study was constructed to evaluate the capability of PxC for simulating non-convex zones with perforated shading elements. The results, in general, have shown that the PxC can provide accurate results in situations where polygon clipping based algorithms cannot be applied.
机译:像素计数(PxC)成为一种强大的技术,可用于建筑物的外部遮阳计算,即使对于密集的几何形状,也可以提供具有高计算效率的精确结果。出于这一事实的动机,并且由于该技术也可以不费吹灰之力地适应室内表面,因此本文旨在通过实验评估Domus软件中实施的PxC技术,以计算建筑物围墙内的日光斑分布。为了进行验证,从实验房屋的表面拍摄了数字图像,以与通过使用EnergyPlus和两个基于PxC的工具(Domus和Shading II SketchUp插件)获得的模拟结果进行比较。首要任务表明,PxC展示的结果与实验数据在太阳斑的位置和面积方面都非常吻合。此外,还构建了第二个案例研究,以评估PxC模拟带有穿孔阴影元素的非凸区的能力。结果通常表明,在无法应用基于多边形裁剪的算法的情况下,PxC可以提供准确的结果。

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