| 中国便利店的照明能耗预测模型与主观评价 |
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| 引用本文： | 蔡宙燊,张昕,张宇涛.中国便利店的照明能耗预测模型与主观评价[J].保鲜与加工,2017(4):48-55. |
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| 作者姓名： | 蔡宙燊 张昕 张宇涛 |
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| 作者单位： | 清华大学 建筑学院, 北京 100084,清华大学 建筑学院, 北京 100084,广东三雄极光照明股份有限公司, 广州 511495 |
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| 基金项目： | 国家自然科学基金（51478236） |
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| 摘 要： | 便利店销售额在传统零售业中增幅最高，照明在所调研样本总室内能耗中占比为43%。基于全国257家便利店的数据，探讨便利店的照明特征。采用多重线性回归方法建立照明能耗预测模型，采用因子分析方法探讨客观参数与主观评价的联系。研究表明，对便利店，考虑照明节能时需同步关注其主观评价的变化；进行照明设计时需因地制宜；照明能耗预测模型为ln y=0.479 ln x1+ 0.248ln x2-0.217（y为照明功率密度，x1为单位面积照明造价，x2为典型货架位置水平照度平均值）；顾客对照明充足度的“敏感性”比照明均匀度高；提高照度平均值有助于提高主观评价。
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| 关 键 词： | 便利店 照明 能耗 预测模型 视觉满意度 |
| 收稿时间： | 2016/12/27 0:00:00 |
Prediction model of lighting energy consumption and subjective evaluation of convenience stores in China |
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| Cai Zhoushen,Zhang Xin and Zhang Yutao.Prediction model of lighting energy consumption and subjective evaluation of convenience stores in China[J].Storage & Process,2017(4):48-55. |
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| Authors: | Cai Zhoushen Zhang Xin and Zhang Yutao |
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| Institution: | School of Architecture, Tsinghua University, Beijing 100084, P. R. China,School of Architecture, Tsinghua University, Beijing 100084, P. R. China and Guangdong SanxiongJiguang limited company, Guangzhou 511495, P. R. China |
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| 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. |
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| Keywords: | convenience stores lighting energy consumption prediction model visual satisfaction |
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