中国西南农村住宅的可持续设计——改善环境条件和性能的指南

This section of the Design Guide/Album of projects was developed as a response to the lack of detailed guidance for design and construction of rural and village dwellings in Southwest China. It arose following long-term collaboration between the University of Huddersfield in the UK and a number of universities and other organisations in China. The initial background research was carried out over a number of years by academic staff from the University of Huddersfield This research gathered information on the design and construction of both old and new dwellings in rural villages of SW China (Yunnan, Guizhou, Guangxi, Sichuan and Chongqing) from cultural, historical and environmental perspectives. This research discovered that new dwelling construction whilst addressing the immediate needs for modern design and amenities and basic shelter, did not always optimising the environmental performance. As a result new analyses based on use of a computer predictive tool and also a dynamic simulation model were planned and executed to derive data that might be of use to designers and other stakeholders. Weather data for 46 sites in SW China were collated and used to identify and compare the benefits in terms thermal comfort from using passive/bioclimatic design techniques. Following this study, 15 of the site locations were investigated in a more detailed parametric simulation analysis. We argue that the real value in undertaking and publishing the results of the parametric study comes from the production of parametric/comparable analysis for a range of bioclimatic design techniques in the context of SW China. The authors are not aware of such a comparison involving this range of parametric options (216 variations for the detailed study of 15 locations) and 46 locations for the more general bioclimatic study. The tables of information have been designed to be used to provide stakeholders including design and construction professionals as well as residents and community leaders with an initial way of comparing options. Ideally the method can be used for a specific location (village or town) providing the climate data can be found or estimated from a recognised source.