| With the coordinated development of Beijing-Tianjin-Hebei has been promoted to the national top strategy,the energy issues in the Beijing-Tianjin-Hebei region have also attracted attention.In 2017,the total GDP of the Beijing-Tianjin-Hebei region was 7461.26 billion yuan,accounting for 10%of the country.The potential of development in the Beijing-Tianjin-Hebei region is huge?while the air pollution problem is serious.Statistics show that The average concentration of PM2.5 in the Beijing-Tianjin-Hebei region in 2017 is 55 μg/m3,which is much higher than that in the Pearl River Delta and the Yangtze River Delta.The thermal production and supply industry accounts for 18%of the energy consumption of the Beijing-Tianjin-Hebei industrial sector.Therefore,the improvement of energy efficiency in the power industry in the Beijing-Tianjin-Hebei region is of great significance to the overall coordinated development of the Beijing-Tianjin-Hebei region.Firstly,this paper studies the total factor energy efficiency of 27 industrial sectors in the Beijing-Tianjin-Hebei region using the DEA-BCC model,combining the energy consumption ratio of the industrial sector,the economic ratio,and the energy efficiency of the three elements.Cluster analysis and principal component analysisi used to analyze.The 27 industrial sectors are divided into three categories.And from energy efficiency differences and important industries in the three areas,the electric power system is selected as the key analysis object.The energy conservation potential of the electric power industry is analyzed.Secondly,this paper mainly introduces the energy production and supply situation,power supply structure and development situation and the distribution of renewable energy resources in the Beijing-Tianjin-Hebei region.Thirdly,a multi-objective optimization model is established.The model aims at improving energy efficiency,taking power demand and installed scale as constraints.To verify the practicability of the model,the Beijing-Tianjin-Hebei region is used as the research object,and the gradient descent method,differential evolution algorithm,genetic algorithm is adopted for analysis.Finally,through the empirical analysis of the power structure optimization in the Beijing-Tianjin-Hebei region,it is found that the total social cost of the coordinated development of Beijing-Tianjin-Hebei is lower than the total planned cost of the Beijing-Tianjin-Hebei region.At the same time,the development of power supply in the Beijing-Tianjin-Hebei region 2020,2025 and 2030 is concluded.It was also found that the coal-fired power in the Beijing-Tianjin-Hebei region peaked in 2020,and photovoltaic and wind power achieved large-scale development in 2025 and 2030 respectively. |
PDF Full Text Request