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new study from Sense and Singularity Energy , which analysed 100,000 charging sessions , has demonstrated the potential for significant carbon reductions from electric vehicle ( EV ) charging using a combination of smart home automation and location- and time-based carbon emissions data from the power grid .
It found that by automating charging to minimise carbon impact , carbon emissions from EV charging could be reduced 8-14 % on average across 44 US states , and an average reduction of 43 % in California due to its higher proportion of renewable energy .
Carbon reductions from automated EV charging could have a significant impact on reaching carbon emissions goals to slow climate change , and while EV charging is the most obvious case , similar opportunities for savings apply to other large loads in the home .
The utility industry is facing pressures to meet CO2 reduction goals while keeping pace with more intermittent sources of power and anticipating new energy loads from EVs .
The ability to jointly optimise for CO2 , cost and grid constraints can provide the best performance at a system level . Dynamic signals from the power grid combined with EV charging automation could be used to shape consumer behaviour , modulate
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