Prediction model of lighting energy consumption and subjective evaluation of convenience stores in China
Cai Zhoushen , Zhang Xin
,
Zhang Yutao
DOI:10.11835/j.issn.1674-4764.2017.04.008
Received December 27, 2016,Revised , Accepted , Available online July 04, 2017
Volume ,2017,Pages 48-55
- Abstract
Sales volume on convenience stores increased the most, and lighting made up 43% of interior energy consumption. Based on sample investigation of 257 convenience stores in China, the survey data were collected, and lighting feature were exposed. Multiple linear regression was adopted to built the prediction model of lighting energy consumption, and factor analysis was adopted to explore the connection between subjective evaluation and objective variables. The results showed that: for convenience stores, subjective evaluation would be accounted when saving lighting energy; lighting design method would vary to fit different region; the prediction model of lighting energy consumption is lny=0.479lnx1+0.248lnx2-0.217;customers were more sensitive about illumination adequacy than uniformity and increasing the illumination improved subjective evaluation.