The data science behind our EV modelling
Examining how we manoeuvre the world’s transition to electric vehicles (EVs) isn’t just prescient, it’s critical.
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Will the road to 100% EV adoption be green, cheap or easy?
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Rising EV adoption has the potential to drastically transform power grids. EVs could create significant operating stress and financial burden, or facilitate and accelerate the move to 100% renewable energy. They may also prompt a combination of these possibilities.
As EVs help to catalyse change, policymakers, industry leaders and consumers will face inevitable trade-offs between transition costs, behavioural constraints on drivers, and the carbon footprint. To explore the range of potential outcomes, the team decided on California as its test case, where a law requires 100% of new cars to be EVs by 2035. Using a sophisticated model which analysed multiple data sets, including California’s power generation, distribution and consumption, weather patterns, and hourly driver behaviour, our Investment Sciences team explored three possible scenarios.
Examining how we manoeuvre the world’s transition to electric vehicles (EVs) isn’t just prescient, it’s critical.
The team identified three different scenarios for 100% EV adoption: Easy – unconstrained EVs with unmanaged charging; Cheap – involving minimum investment to bring some control to charging; or Green – taking as environmentally sustainable an approach as possible.
"We’ve analysed three extreme scenarios to clearly identify the challenges and opportunities each present, and make an informed decision on prioritising whether EV adoption should be green, cheap or easy."
Explore the differences between these scenarios across various factors, including household cost, carbon emissions and energy sources in our visual infographic.
See how easy, cheap or green compare by exploring the modelling data and diving deeper into the Research team’s findings.
It would depend on policy and consumer choices, but the model highlights the key benefits and challenges stakeholders need to consider in order to achieve a successful EV rollout, without collapsing the energy grid.
Notably, the model reveals that personal EVs alone represent enough storage capacity to make California’s current power consumption 100% green, and that even a conventional approach of using natural gas to serve increased energy demand from EVs would lower the state’s carbon footprint by removing gasoline-powered cars from the road.
They estimate that Californians would need to spend $50-150bn in infrastructure investments to make the transition over the next 20 years, depending on the scenario. But in every case, Californians could potentially save $300bn in gasoline costs in the first 20 years of 100% electric driving.
Whether EVs are ultimately a net benefit or cost hinges on a complex interplay of policy, consumer behaviour, and technology. Yet it appears inevitable that a compromise will have to be made, depending on what issues and factors policy makers, industry leaders and consumers choose to prioritise.
Comparing EV scenarios
About the expert
Ryan Preclaw
Global Head of Investment Sciences
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