This paper proposes that"ratio of length to width"and"ratio of inner area"are the classification indexes of the building figure. The eQUEST software is used to predict 108 buildings' energy consumption and SPSS software is used to establish a linear regression model of energy consumption. The results show that: 1) The linear regression model can quantify the impact of annual energy consumption by office buildings' figure. 2) When "ratio of inner area"is the same, the annual energy consumption increases with the decrease of "ratio of length to width". 3) When the "ratio of length to width"is the same, the annual energy consumption increases with the decrease of "ratio of inner and outer area".%本文提出"长宽比" (南北向长度与东西向长度的比值) 和"内区比例"作为建筑形态的分类指标.以上海地区办公建筑为例, 采用eQUEST建立了108个办公建筑模型, 其中78个用于SPSS中进行回归分析, 建立了能耗线性回归模型, 30个用于模型验证, 获得了"长宽比"和"内区比例"与单位建筑面积能耗之间的数学关系, 并与实际案例进行对比分析.结果表明:1) 建立的回归模型可较好地量化建筑形态对单位建筑面积采暖供冷能耗和总能耗的影响.2) 相同"内区比例"时, 单位建筑面积能耗随着"长宽比"的减小而增大.3) 相同"长宽比"时, 单位建筑面积能耗随着"内区比例"的减小而增大.
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