2023 Huawei Cup Mathematical Modeling Question D - Carbon Emission Path Optimization LMDI Model Based on Exponential Decomposition Method

The LMDI model is a factor decomposition method developed based on the exponential decomposition method ( IDA ). The LMDI model is based on the Kaya expansion and uses the logarithmic average method to analyze the influencing factors. Comprehensive comparison with other exponential decomposition methods, the LMDI decomposition method has the advantages of being able to completely decompose factors and having no residual terms. According to the expansion of Kaya's identity, the industry energy consumption calculation formula is obtained:

Therefore, through the Kaya identity and LMDI model, the influencing factors of energy consumption in high energy-consuming industries are decomposed into the following five influencing factors:

Therefore, based on Equation 4-3 , we can get that the calculation formula of the difference Δ E between the energy consumption E T in the target year (year t ) and the energy consumption E 0 in the precise year (year 0) is as follows:

When the calculation result of the contribution value of the above influencing factors is greater than zero, it means that the change has led to an increase in energy consumption and promoted the increase in energy consumption; if the calculation result of the factor contribution value is less than zero, then It shows that the change of this influencing factor within the time period leads to the reduction of energy consumption and inhibits the increase of energy consumption.

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Origin blog.csdn.net/weixin_43608857/article/details/133185244