Electric vehicle green charging with marginal emissions signals

Electric vehicles (EVs) are a promising clean transportation option, but they still release CO₂ emissions when charging from the electricity grid. Often, EV drivers charge their vehicles when it is cheap or convenient, not when grid carbon intensity is lowest. Green charging, or smart charging control, is a solution to this problem that optimizes to reduce emissions by shifting electricity demand in between and across charging sessions. In this talk, I will present and validate a green charging control strategy based on actual EV driver data and historical grid emissions. The basis for this control is marginal emissions, or the emissions released when a new generator must be dispatched to the grid, which we find performs better than using average grid emissions data.

Speaker: Sonia Martin, Stanford University

Attend in person or online (see weblink)