Topic: Forecasting

Why do the major groups publishing energy forecasts consistently undershoot the progress of energy transition? For decades, public sector agencies, oil industry groups, energy industry consultancies, and even environmental nonprofits have been consistently too pessimistic in their outlooks. So why is it that standard energy forecasting models keep getting transition wrong?

A group of researchers at Oxford University may have an answer to that question with a study they recently published on the future trajectory of the energy transition. The problem, they say, is that standard models don't realistically account for learning curves in manufacturing, and exponential growth in deployment as it relates to transition. Their new approach shows that future cost and deployment curves can be predicted quite accurately for energy transition solutions like solar panels, wind turbines, batteries and hydrogen electrolyzers.

What makes their demonstration particularly exciting isn’t just that they’ve found a better approach to modeling energy transition learning curves; it’s what their model shows: that a rapid energy transition is actually as much as $14 trillion cheaper than not transitioning over the coming decades. In short, these researchers suggest there is no net cost to a sustainable energy transition, and that on the economic merits at least, it’s basically inevitable.

Join us in this episode for a discussion with one of the researchers on the Oxford team, Dr. Matthew Ives. He is an economist and complex systems modeler at Oxford University who is currently researching sensitive intervention points for accelerating progress towards the post-carbon transition. We explore exactly how their modeling was done, exactly where traditional modeling has gone wrong, and what it all means for the energy transition.