Method and system for calculating carbon emission peak value based on energy consumption structure optimization
A technology of consumption structure and calculation method, applied in the field of energy economic research, can solve the problem of inability to accurately predict the movement of carbon emission peak, and achieve the effect of more reliable carbon emission peak prediction
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Embodiment 1
[0042] The present invention is a calculation method of peak carbon emission based on optimization of energy consumption structure, such as figure 1 As shown, the steps are as follows:
[0043] 1. Select appropriate influencing factors, construct a co-integration model, and predict the total energy consumption given different scenarios;
[0044] 11) The factors that affect energy demand include economic development level, industrial structure, energy efficiency improvement, energy price effect, urbanization level, etc., establish the expression of energy consumption function:
[0045] Qt=f(Yt, Mt, EFt, Pt, Ct),
[0046] In the formula, Qt represents primary energy consumption; Yt represents GDP; Mt represents the ratio of added value of heavy industry to GDP; EFt represents the ratio of added value of industrial production to industrial energy consumption; Pt represents the growth rate of the coal price index, Ct Indicates the level of urbanization. To analyze the needs of the prob...
Embodiment 2
[0075] This embodiment provides a carbon emission peak calculation system based on optimization of energy consumption structure, including:
[0076] 1) Total energy consumption forecast module: select appropriate influencing factors, build a co-integration model, and predict total energy consumption given different scenarios;
[0077] 2) Energy consumption optimal structure measurement module: Under the natural evolution and planning constraint scenarios, the Markov chain model is used to calculate the optimal energy consumption structure;
[0078] 3) Carbon emission calculation module: adopting the international standard carbon emission coefficient and calculating the carbon emission under different scenarios based on the results obtained in the first two steps, looking for the scale and year of the peak carbon emission.
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