Data-Driven Demand-Side Carbon Emission Accounting for Residential Users

Demand-side carbon reduction plays a crucial role in achieving carbon neutrality. However, implementing carbon reduction measures for residential users poses several challenges including individual dispersion, data availability, and quantitative assessment of carbon emissions. Presently, research on demand-side carbon reduction primarily focuses on large users in industrial and commercial sectors, while the research on carbon emission accounting methods for residential users remains insufficient. To address this gap, this paper proposes a data-driven approach for carbon emission accounting specifically tailored to residential users, based on carbon emission flow theory. Specifically, this paper firstly introduces the traditional method of calculating carbon emissions from electricity consumption and its limitations. Secondly, it proposes a method for calculating carbon emissions from residential electricity consumption based on real-time carbon emission coefficient. Then, the calculation method of real-time carbon emission coefficient is introduced based on the theory of carbon emission flow analysis. Finally, calculations and analysis are conducted on the IEEE 118-bus system to demonstrate the effectiveness of this method.