Xiangyuan Chen, Bing Liu, Haidong Li, 等. Multi-spatial hierarchical analysis of power carbon emissions in coal mine active distribution networks using dynamic emission factors[J]. 清洁能源(英文), 2025,(6).
Xiangyuan Chen, Bing Liu, Haidong Li, You Zhou, Dongliang Wang, Rui Wang, Multi-spatial hierarchical analysis of power carbon emissions in coal mine active distribution networks using dynamic emission factors, Clean Energy, Volume 9, Issue 6, December 2025, Pages 219–232, https://doi.org/10.1093/ce/zkaf051
Xiangyuan Chen, Bing Liu, Haidong Li, 等. Multi-spatial hierarchical analysis of power carbon emissions in coal mine active distribution networks using dynamic emission factors[J]. 清洁能源(英文), 2025,(6). DOI: 10.1093/ce/zkaf051.
Xiangyuan Chen, Bing Liu, Haidong Li, You Zhou, Dongliang Wang, Rui Wang, Multi-spatial hierarchical analysis of power carbon emissions in coal mine active distribution networks using dynamic emission factors, Clean Energy, Volume 9, Issue 6, December 2025, Pages 219–232, https://doi.org/10.1093/ce/zkaf051DOI:
Multi-spatial hierarchical analysis of power carbon emissions in coal mine active distribution networks using dynamic emission factors
摘要
Abstract
With the development of distributed photovoltaic energy in mining areas
the increasing proportion of new energy integration will gradually drive the structural transformation of coal mine parks into industrial active distribution networks. This paper takes a coal mine in Shaanxi Province as an empirical research subject
employing a multi-spatial hierarchical analysis method to systematically analyze the electricity usage characteristics across different spatial levels. It innovatively proposes a power line loss correction method for multi-level electrical equipment
effectively balancing the metering deviations of line losses between levels. Based on two types of carbon emission factors
it achieves precise evaluation of indirect carbon emissions from electricity usage in different levels of equipment or energy units. When calculating indirect carbon emissions from electricity using static carbon emission factors
the measured values show a positive correlation with peak electricity load. As the proportion of renewable photovoltaic power integration in industrial active distribution networks increases
the system's indirect carbon emission factors exhibit a periodic decreasing trend. After adopting dynamic indirect carbon emission factors for accounting
the indirect carbon emissions from electricity in the first consumption level can be reduced by 31%–55%
while the overall plant-wide indirect carbon emissions decrease by 29 068.94 kgCO2/d
a reduction of approximately 40%. For the second consumption level in industrial production areas
indirect carbon emissions from electricity can be reduced by 5%–83%
with overall industrial park-wide indirect carbon emissions decreasing by 7376.48 kgCO2/d
a reduction of about 31%. It is recommended to use advanced equipment and energy-saving technologies to suppress technical line losses in coal mine power supply systems and improve energy efficiency. Promoting the coordinated application of renewable energy and energy storage technologies can expand the scale of stable and reliable renewable energy supply
effectively reducing indirect carbon emissions from electricity.