Using spatial indicators to predict ventilation and energy performance-correlation analysis for an apartment building in five Chinese cities

Abstract

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 potential of applying spatial indicators using space syntax to predict ventilation performance and energy performance in order to support architects for the evaluation of their concepts and schemes in early design stages. 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).

Keywords

Space syntax / Air change rate / Annual cooling saving ratio / Connectivity / Correlation analysis

RIGHTS & PERMISSIONS

2019 Higher Education Press Limited Company. Production and hosting by Elsevier B.V. on behalf of KeAi. This is an open access article under the CCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).