Carbon Emission Accounting and Multi-scenario Prediction Research for the Construction Industry
With the rapid development of the national economy and society,the proportion of building energy consumption in the whole society has increased significantly,and the carbon emis-sion reduction situation of the construction industry is still grim.Taking the construction industry in Hebei Province as an example,measured the carbon emissions of the construction industry in Hebei Province and plays an important role in reducing the carbon emissions of the construction industry and promoting the formulation and implementation of energy conservation and emission reduction policies in the construction industry.Based on the theory of life cycle assessment,used the carbon emission coefficient method to calculate the carbon emissions of the construction industry in Hebei Province,and used the PSO-BP neural network model and set different scenarios to predict the car-bon emissions of the construction industry in Hebei Province.The results show that the carbon e-missions of the construction industry in Hebei Province showed a fluctuating increase from 1995 to 2021.In the inertial mode,the carbon emissions of the construction industry continued to grow;Under the energy-saving mode,the carbon emissions of the construction industry were lower than those under the inertial scenario.Under the low-carbon mode,the carbon emissions of the con-struction industry will peak in 2030,when the carbon emissions of the construction industry will reach 315.711 million tons.
construction industrycarbon emissionswhole life cycleforecastPSO-BP
NETL
NSTL
万方数据
