This research aimed to study the design strategies of abundant existing Energy-Efficient Buildings (EEBs) by analyzing correlations between the Climate Parameters (CPs) and Building Parameters (BPs). A database of near zero energy buildings was established and tailored data-mining programs were developed to collect data. Statistical test, data distribution visualization, and correlation analysis were implemented using customized statistical metrics programs to reveal the trends, preferences and potentials of the design strategies summarized as follows: (1) Climate-adaptable design of exterior form was paid more attention to than envelope system, and the design optimization focused on the adjustment of building shape coefficients. (2) The humidity and average high temperature were the most influential factors. (3) The design strategy of envelope system focused on adapting to cold climates, while hot climates were little considered. (4) For EEBs in China, correlations between the CPs and BPs were higher than buildings in the other countries. (c) 2021 Elsevier B.V. All rights reserved.
He, Y; Chu, YN; Song, YH; Liu, MJ; Shi, SH; Chen, XX
Analysis of design strategy of energy efficient buildings based on databases by using data mining and statistical metrics approach
Energy And Buildings