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.

本章节以中国某大型石化企业的案例研究，对所提出的模型与算法开展验证。该企业设定了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。该企业旗下共设有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。每家子公司均采用1种传统工艺进行产品制造；针对汽油、柴油及煤油类产品，提供2种可选低碳技术；其余产品仅配备1种可选低碳技术。不过，各子公司所采用的传统与低碳技术会因所在城市及技术发展水平有所差异，且不同区域的各类产品在需求与定价方面均存在区别。基于该企业的碳中和目标，本文将探究其2025年至2050年的碳中和实施路径，时间间隔为5年。2025年至2050年以5年为间隔，Excel数据表中涵盖的数据包括：产品单价、传统与低碳工艺下的单位产品生产成本、单位产品碳排放量、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启动成本。本数据集的参数取值对应论文《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，该论文被用于本次中国大型石化企业案例研究的计算工作。