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An early-stage design optimization for office buildings' facade providing high-energy performance and daylight

机译:办公楼立面的早期设计优化,可提供高能效和日光

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摘要

The amount of received sunlight and radiant energy could affect the energy consumption in heating, cooling and lighting systems. Utilization of natural daylight in architecture, in addition to fulfilling the inhabitants' mental and physical needs, could greatly reduce fossil fuel consumption. Although higher levels of daylight can be obtained by increasing light transmission, this increased transmission could negatively affect the building's sustainability and thus result in higher energy consumption in turn. So, designers must seek an acceptable balance, in which not only optimal daylight comfort and usage are met but also the best possible thermal performance is achieved. The use of a parametric design model can facilitate the simulation of lighting and annual thermal performance of a building in the early stages of the design or restoration process. In this paper, the daylight and thermal performances of an office building are optimized using a simulated parametric-based design model and the Octopus plug-in which is an optimizing tool based on genetic algorithms developed for Grasshopper. By applying the developed workflow, the enhanced results for (useful daylight illuminance) is up by 20.56% and for energy use intensity by 141 kWh/m(2)/yr.
机译:接收到的阳光和辐射能的数量会影响加热,冷却和照明系统的能耗。除了满足居民的身心需求外,在建筑中利用自然采光还可以大大减少化石燃料的消耗。尽管可以通过增加透光率来获得更高水平的日光,但是这种增加的透光率可能会对建筑物的可持续性产生负面影响,进而导致更高的能耗。因此,设计人员必须寻求一种可接受的平衡,不仅要达到最佳的日光舒适度和使用率,而且要获得最佳的热性能。参数化设计模型的使用可以在设计或修复过程的早期阶段促进建筑物的照明和年度热性能的仿真。在本文中,使用基于模拟参数的设计模型和Octopus插件优化了办公大楼的日光和热力性能,Octopus插件是基于针对Grasshopper开发的遗传算法的优化工具。通过应用开发的工作流程,(有用的日光照度)增强结果提高了20.56%,能源使用强度提高了141 kWh / m(2)/ yr。

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