Dynamic tracking of life cycle carbon emissions in power grids based on a flow network model

• Published in: Scientific reports Vol. 15; no. 1; pp. 26990 - 11
• Main Authors: Wang, Chengwei, Li, Pei, Yang, Zhiyuan, Wang, Haijin
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 24.07.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/987; 639/4077/909/4101; 639/4077/909/4110; Buses; Carbon; Carbon cycle; Carbon emissions; Carbon footprint; Climate change; Consumption; Electricity distribution; Electricity generation; Emissions; Emissions control; Energy; Flow network model; Fossil fuels; Greenhouse gases; Humanities and Social Sciences; Industrial plant emissions; Life cycle assessment; Life cycles; Markov chain; Markov chains; multidisciplinary; Nuclear power plants; Power grids; Science; Science (multidisciplinary); Life cycle assessment; Markov chain; Flow network model; Power grids; Carbon emissions

This study introduces a flow network model to dynamically track carbon emissions in power grids, addressing limitations of traditional methods by transforming grids into directed graphs with virtual sink nodes for transmission losses. Using Markov chain-based probabilistic flow analysis, the model a...