Abstract：Urban housing stock is of large scale and diversity, with low and uneven energy efficiency. In view of this situation, this paper investigates the urban housing of Chongqing during 1950 and 2000 with the typology approach and the CHAID decision tree algorithm, summarizes three major categories and 24 subcategories of building envelopes from 373 samples according to three attributesof construction year, unit type and unit composition, and constructs physical models of the archetypes. By simulation, it shows that classified evaluation can better explain the impact factors and their significance for various types of cooling and heating load demands, contributing to screening out the types with the worst energy efficiency, and the parts of each type that are most unfavorable for energy efficiency. The saving rates of retrofit measures with different depths on cooling and heating loads also depends on the contributions of different types and their different parts. It is proposed to subdivide the evaluation standards for energy-efficiency retrofitting based on CHAID decision tree, and to extrapolate to a larger area for energy-efficiency evaluation and retrofit potential prediction.
黄海静 林犀. 基于类型学方法的城镇住宅节能改造效果的分类评估
——以重庆市为例[J]. 新建筑, 2024, 42(1): 104-109.
HUANG Haijing LIN Xi. Classified Evaluation of the Effect of Energy Efficiency Retrofitting for Urban Housings Based on Typology Approach: A Case Study of Chongqing. New Architecture, 2024, 42(1): 104-109.
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