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Using spatial indicators to predict ventilation and energy performance

机译:使用空间指示器预测通风和能量性能

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摘要

In the early design stages, architects are in constant search of a design direction that can determine the success or failure of the final design. However, in real design practice, most of the prediction methods for building performances, in this paper energy and thermal comfort, are utilised in the later design stages. Spatial configuration is one of the most important issues for architectural design in the early design stage. This study investigates the correlations between the spatial indicators connected with architectural design and the building physics indicators ventilation performance and energy performance. The main objective is to explore the potentialnbsp;of applying spatial indicators using space syntax to predict ventilation performance and energy performance in order to support architects for the evaluation of their concept and schemes in early design stage. The layout of a high-rise apartment in China in five different cities is chosen as a case study. The results show that the selected three indicators: connectivity value, air change rate and annual cooling saving ratio are linearly correlated, not just at building level but also at room level. R2, the correlation coefficient of determination, is between 0.53 and 0.90 (except for the case of Chongqing at building level).
机译:在早期的设计阶段,架构师始终不断搜索可以确定最终设计成功或失败的设计方向。然而,在真实的设计实践中,在稍后的设计阶段利用在本文能源和热舒适性中建立性能的大多数预测方法。空间配置是早期设计阶段建筑设计中最重要的问题之一。本研究调查了与建筑设计相关的空间指标与建筑物理指标通风性能和能源性能之间的相关性。主要目标是探索潜在的没有空间语法应用空间指标,以预测通风性能和能源性能,以支持架构在早期设计阶段评估他们的概念和方案。选择了五个不同城市的中国高层住宅的布局作为案例研究。结果表明,所选三个指标:连接值,空气变化率和年冷却比率线性相关,而不仅仅在建筑物水平,而且在房间水平。 R2,测定系数的相关系数为0.53和0.90(在建筑水平时重庆的情况除外)。

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