FAST energy and daylight optimization of an office with fixed and movable shading devices
FAST energy and daylight optimization of an office with fixed and movable shading devices
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DOI：
10.1016/j.buildenv.2016.09.035
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发表时间：
2017-02
影响因子：
7.4
通讯作者：
M. Manzan;A. Clarich
中科院分区：
文献类型：
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作者：
M. Manzan;A. Clarich
本文介绍了一个固定的倾斜面板，遮阳办公室与南暴露的窗口的能源和采光优化。窗户还具有用户可部署的内部百叶窗。能源分析考虑了供暖、制冷和人工照明所需的一次能源。为了执行优化过程所需的模拟，采用了不同的数值代码：Daysim根据采光分布估算人工光消耗，ESP-r计算加热和冷却负荷，modeFRONTIER将模拟代码集成到自动优化循环中。一种专门设计用于处理涉及长模拟时间的问题的算法（结合响应面和遗传算法）的性能已经成功地进行了评估;该算法随后被应用于优化循环。本文分析了优化的解决方案，特别是三个解决方案已被选定：最小的一次能源消耗，最小小时的盲目部署和中间解决方案。该分析基于有用日光照度指标和预定义位置的光照时间历史比较了一次能源消耗和采光性能。
This paper describes the Energy and Daylighting optimization of a fixed inclined panel which shades an office room with a south exposed window. The window features also user deployable internal Venetian blinds. Energy analysis takes into account the primary energy required for heating, cooling and artificial lights. Different numerical codes have been employed in order to perform the simulations required by the optimization process: Daysim estimates the artificial light consumption based on daylighting distribution, ESP-r computes heating and cooling loads and modeFRONTIER integrates the simulation codes in an automatic optimization loop. The performance of an algorithm specifically designed to deal with problems involving long simulation times (combining response surfaces and genetic algorithms) has been successfully evaluated; the algorithm has then been applied in the optimization loop. The optimized solutions are analysed in this paper, in particular three solutions have been selected: minimum primary energy consumption, minimum hours of blind deployed and an intermediate solution. The analysis compares the primary energy consumption and daylighting performance on the basis of the Useful Daylight Illuminance indicator and the time history of illuminance on predefined locations.