Abstract: Using NPP-VⅡRS nighttime light as data source, energy consumption data of eleven prefecture-level cities and nighttime light data in Hebei province were made to conduct correlation analysis. A quadratic polynomial model with highest correlation coefficient was determined and made as regression model of energy consumption. Then this model was applied to calculate and correct amount of energy consumption within each grid inside each prefecture-level city based on nighttime light data. The result of accuracy test showed that this model of which the total relative error approached to zero was high of precision. Moreover, the global spatial autocorrelation analysis results showed that the energy consumption of Hebei province in 2013 had significant spatial aggregation.Another local spatial autocorrelation analysis results demonstrated high energy consumption region focused on urban areas and industrial estate, and low energy consumption region concentrated on northern and western mountain areas which were provided with abundant woodlands and farmlands. These results fitted the situation of energy consumption in Hebei province.