Data of the paper "Optimization of carbon neutrality implementation path for energy enterprises based on multistage bilevel programming: Carbon asset management and low-carbon technology investment."

This section tests the proposed model and algorithm with a case study of a large petrochemical enterprise in China. The enterprise’s goal of achieving a carbon emissions peak by 2030 and net-zero emissions by 2050 calls for developing a practical path to carbon neutrality. The enterprise has seven subsidiaries, A, B, C, D, E, F, and G, located in seven different cities in China. The categories of products manufactured by the subsidiaries are shown in Table 8. There is one traditional technology for each subsidiary to produce their products. There are two optional low-carbon technologies for gasoline, diesel, and kerosene. For the remaining products, there is one optional low-carbon technology. Nevertheless, the traditional and low-carbon technologies adopted by the subsidiaries vary according to their cities and technological development, and there are differences in demand and pricing for each product in different regions. Based on its carbon neutrality target, we will explore the enterprise’s carbon neutrality implementation path from 2025 to 2050, with a time interval of 5 years.From 2025 to 2050, in 5-year intervals, the data in the Excel spreadsheet include the unit price of the product, the cost per unit of the product produced using conventional and low-carbon technologies, the carbon emissions, the mean and variance of the demand for the product, the level of service for the product, and the setup costs for investing in low-carbon technologies at each stage. The parameter values of this data correspond to Table 2 in the paper "Optimization of carbon neutrality implementation path for energy enterprises based on multistage bilevel programming: Carbon asset management and low-carbon technology investment", which was used to calculate the case study of a large petrochemical enterprise in China.

本节以中国某大型石化企业为案例研究对象，对所提出的模型与算法开展验证测试。该企业确立了2030年前实现碳达峰、2050年前实现净零排放的目标，亟需探索一条切实可行的碳中和实施路径。该企业下设A、B、C、D、E、F、G共7家子公司，分别坐落于中国7座不同城市；各子公司生产的产品品类详见表8。各子公司均配备1种传统生产工艺用于产品制造；针对汽油、柴油及航空煤油，可选用2种低碳工艺；其余产品仅有一种可选低碳工艺。不过，各子公司所采用的传统工艺与低碳工艺会因所在城市及技术发展水平有所差异，且不同区域内各类产品的需求与定价均存在区别。结合该企业的碳中和目标，本文将以5年为时间间隔，探究2025年至2050年期间该企业的碳中和实施路径。本Excel数据集涵盖2025年至2050年每5年间隔下的如下数据：产品单价、采用传统工艺与低碳工艺生产的单位产品成本、碳排放量、产品需求的均值与方差、产品服务水平，以及各阶段投资低碳技术的前期筹备成本。本数据集的参数取值与论文《基于多阶段双层规划的能源企业碳中和实施路径优化：碳资产管理与低碳技术投资》中的表2一致，该论文的相关计算正是为本次中国大型石化企业的案例研究提供支撑的。