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Searching for office buildings' fenestration geometries with a Bi-phase optimization framework

机译：使用双相优化框架搜索办公楼的更新几何形状

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摘要

By coupling algorithmic optimization with parametric modeling and performance simulation, the building design process becomes a series of informed decision-making. Algorithmic optimization helps architects find high-performance design choices which balance complicated tradeoffs among various performance objectives. Although algorithmic-optimization aided design is more competent than the traditional manual method, due to complexities in building design, optimization frameworks are not easy to formulate. Focusing on the correlation between energy efficiency, visual comfort, and construction material cost, the current author formulates a bi-phase optimization framework to search for facade fenestration geometries. Afterwards, this optimization framework is applied to one representative office building in China. Optimal design choices are found to have much lower thermal loads and construction cast, but higher visual comfort. This paper highlights how the optimization framework regarding facade fenestration is formulated and how it performs during the building design process.
机译：通过使用参数化和性能模拟耦合算法优化，建筑设计过程成为一系列知情的决策。算法优化有助于架构师找到高性能设计选择，这些选择平衡了各种性能目标之间的复杂权衡。虽然算法优化辅助设计比传统的手动方法更称为，但由于建筑设计的复杂性，优化框架不易制定。专注于能源效率，视觉舒适度和施工材料成本之间的相关性，目前作者制定了一个双相优化框架，以寻找外立兴奋剂几何形状。之后，这种优化框架适用于中国的一个代表处建筑。发现最佳设计选择具有更低的热负荷和施工铸造，但可视化舒适性更高。本文突出了关于外观衰生的优化框架如何制定以及它在建筑设计过程中的表现方式。

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