Civil Engineering Departmental Seminar - Emission and cost impacts of an emission-informed electric vehicle public charging pricing scheme
Emission and cost impacts of an emission-informed electric vehicle public charging pricing scheme
Talk abstract: Electric vehicles (EVs) coupled with renewable energy supply have the potential to achieve deep decarbonization of transportation and energy systems with strategic charging infrastructure placement, coordinated expansion of EVs and renewables, and demand management. However, questions remain on the coupling between EV charging demand and grid carbon emission through pricing strategies to realize further emission savings. In this talk, we will explore the carbon emission reduction potential of adjusting EV public charging demand through price and the associated charging cost impacts on EV users. Based on real-world hourly usage data from EV public chargers and grid electricity generation profiles, we develop simulations of public charging demand, charging price, and charging emission using machine learning-based models and an optimization model to minimize total charging emission. We also discuss the simulation results under different scenarios of solar and wind penetration and EV adoption and their implications for infrastructure operators.
Dr. Wei Wei is an assistant professor at HKUST(GZ)’s intelligent transportation thrust and carbon neutrality and climate change thrust. Her research direction is on transportation and energy system modeling and analysis with implications for infrastructure planning, operation management and demand response. Her work uses various data-informed methods including simulation, optimization, machine learning and GIS-based methods. Her work has been published in Nature Energy and Cell Reports Physical Science and presented at TRB annual meetings.