Multiobjective Optimization of Carbon Emission Reduction Responsibility Allocation in the Open-Pit Mine Production Process against the Background of Peak Carbon Dioxide Emissions

Abstract

In the context of the “carbon peaking” policy for mining companies, this study was conducted to clarify the amount of carbon emission reduction required for each production process to achieve the carbon peaking target for mining companies. In this paper, after determining the fair interval of the carbon emission distribution, the fair deviation index was constructed, and a multiobjective carbon emission distribution model of the mine production process was established by combining the objectives of maximum stability and maximum efficiency with the constraint of output growth. The study found: (1) More carbon emission quotas should be allocated to the beneficiation link, while fewer carbon emission quotas should be allocated to the crushing link; (2) beneficiation, mining and transportation are all responsible for emission reduction, but crushing and blasting produced a carbon emission surplus and (3) after optimization, the carbon emission intensity in the beneficiation, mining and transportation processes was reduced. This paper argues that mining companies should increase their efforts to reduce emissions in beneficiation, mining and transportation. The study’s findings have important implications for achieving carbon emission reduction targets and refining carbon emission management in open pit mines in the context of carbon peaking.

The Induced Effects of Carbon Emissions for China’s Industry Digital Transformation

“…For the factor of employment number, the commuting of employees [100,101], production process [102,103], and consumption [104,105], among other links, produce carbon emissions, but with the decline in employment in recent years, the rise of online offices, the rise of paperless offices, etc., the change in carbon emissions caused by the employment number has changed from positive to negative. For the factor of the production technology level, the improvement in the production technology level can promote carbon emission reductions while comprehensively improving productivity, indicating that China is persistently promoting ecological priorities, conservation, and intensification and green and low-carbon development.…”

“…For the factor of carbon emission intensity, its impact on carbon emission changes has been negative since 2013, indicating that carbon emissions caused by the unit digital economy have begun to decrease. China has undertaken a series of measures towards low-carbon development commitments, launched the 2010 China Information and Communication Industry to Promote Low- For the factor of employment number, the commuting of employees [100,101], production process [102,103], and consumption [104,105], among other links, produce carbon emissions, but with the decline in employment in recent years, the rise of online offices, the rise of paperless offices, etc., the change in carbon emissions caused by the employment number has changed from positive to negative. For the factor of the production technology level, the improvement in the production technology level can promote carbon emission reductions while comprehensively improving productivity, indicating that China is persistently promoting ecological priorities, conservation, and intensification and green and low-carbon development.…”

Carbon Emission Prediction Model for the Underground Mining Stage of Metal Mines

“…To date, numerous scholars have conducted extensive research on the problem of mining carbon emissions. With the goal of carbon emission reduction required in each production process of open-pit mines, Guoyu Wang et al (2022) [9] used a multi-objective optimization algorithm to establish a multi-objective carbon emission distribution model for open-pit mines from the perspective of carbon quota allocation, and used this model to provide optimization suggestions for carbon emission quotas in each process link in the production process. Boyu Yang et al (2021) [10] selected the Pingshuo open pit coal mine in Shanxi Province, China, as a case study object, analyzed the dynamic changes of carbon emissions based on the IPCC method, and used the IPAT equation to analyze the influencing factors of carbon emissions.…”

Online Accounting Method for Carbon Emission of Coal Mines owned by the Coal Industry Group

“…In 2021, global energy-related CO2 emissions increased by 6% from the previous year to 36.3 billion tons, setting a new record high. Among them, China's CO2 emissions exceed 11.9 billion tons, accounting for 33% of the global total, and reducing carbon emissions has become an urgent and difficult task in China's environmental management [14][15][16]. From the perspective of the industry, as the main energy source, the coal industry contributes more to China's carbon emissions, second only to the chemical industry [17][18].…”