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.