In this study,the change characteristics and potential correlation of electricity consumption and emissions of enterprises were analyzed,and the implementation status of control measures and emission reduction effects were evaluated by using the electricity consumption data of industrial enterprises installing electricity mo-nitoring facilities in Weifang before and during the Beijing Winter Olympics and the online monitoring data of at-mospheric pollutant emissions of some enterprises.The results indicated that during the control period,the elec-tricity consumption of industrial enterprises in Weifang decreased by 57.96％on average,compared with that be-fore the control period.The electricity consumption of completely shutdown enterprises decreased by more than 75％,and the emissions of atmospheric pollutants(SO2,NOx,particulate matter)decreased by 100％.The de-crease in electricity consumption of limited production enterprises increased with the strengthening of control measures.The delayed resumption rate of enterprises was from 47.83％to 96.00％,and the electricity consump-tion decreased by 50.76％.Based on the changes in electricity consumption of enterprises in various industries dur-ing the control period,it was determined that each enterprise basically met the emission reduction requirements.This indicated that electricity consumption data could replace or assist industrial enterprise emission data under certain circumstances,reflecting the implementation status of control measures and emission reduction effect.
关键词
工业污染源/用电量数据/管控效果评估/K-means聚类算法/北京冬奥会期间/潍坊
Key words
Industrial pollution sources/Elec-tricity consumption data/Evaluation of control effect/K-means clustering algorithm/The Beijing Winter Olympics period/Weifang
维普
万方数据