Dexiang Jia
ABSTRACT
With the transformation of energy structure and the promotion of dual-carbon goals, the future still looks bright for electric vehicles. It is essential to study the charging characteristics of electric vehicles, the organized regulation of charging loads, and the spatial and temporal distribution of carbon emission. With the intention of quantifying the carbon emission level of electric vehicles, a theoretical study proposal on the spatial-temporal distribution of EV carbon emission considering end-users’ behavioral decisions is presented in this paper. Given that the charging decision model for electric vehicles is first created by thoroughly quantifying end-users’ subjective feelings and simulating their charging behavioral decisions with the regret theory. Based on the travel chain theory and considering the uncertainty and flexibility of EV travel behaviour, taking the above observations into account, theoretical simulation of travel characteristics is then carried out. The theoretical research model for the spatial-temporal distribution of charging loads for electric vehicles is created concurrently using the Monte Carlo method. Finally, the emission factor method is used to analyze the EV carbon emission. The simulation results show that the model can continue to be a great impetus to evaluate the carbon emission of electric vehicles.
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Index Terms
- Spatial-temporal Monitoring Modeling of EV Carbon Emission Considering End-users?? Behavioral Decisions
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