Decarbonising the energy system by 2050 could save trillions
Oxford University
For decades, scientists have called for a transition to clean energy to prevent the worst impacts of climate change but fears that such a transition would be costly and harm the economy have held back progress. However, a study from the Oxford Martin Programme on the Post-Carbon Transition published in Joule today shows the reverse: an ambitious, decisive transition to green energy technologies such as solar, wind, and batteries, will likely save the world significant sums of money.
Since Russia’s invasion of Ukraine, the costs of fossil energy have skyrocketed, causing inflation around the world. This study, conducted before the current crisis, takes account of such fluctuations using over a century’s worth of fossil fuel price data.
"There is a pervasive misconception that switching to clean, green energy will be painful, costly and mean sacrifices for us all – but that’s just wrong," says Professor Doyne Farmer.
"Renewable costs have been
trending down for decades. They are already cheaper than fossil fuels in many
situations, and our research shows that they will become cheaper than fossil
fuels across almost all applications in the years to come. And if we accelerate
the transition, they will become cheaper faster. Completely replacing fossil
fuels with clean energy by around 2050 will save us trillions."
The Oxford team used a different approach, developing a ‘probabilistic model’ to estimate the costs of possible future energy systems more accurately based on past data. Probabilistic models are used widely throughout industry and research to estimate the likelihood of future events. The betting industry, for example, uses probabilistic models to make forecasts that, while never perfect, on average get the odds right and that enabled them to make £5.8 billion in UK profits in 2020 alone.
In prior work, the Oxford team showed it could ‘get the odds right’ in its probabilistic forecasts of energy technology costs. It tested the forecasting method against decades of historical data for 50 different technologies, using a technique called backtesting, which is routinely used in the financial industry.
A common objection to scenarios for a rapid transition to net-zero carbon is the need for large amounts of energy storage to handle intermittent renewables. The study showed that the costs for key storage technologies, such as batteries and hydrogen electrolysis, are also likely to fall dramatically. Meanwhile, the costs of nuclear have consistently increased over the last five decades, making it highly unlikely to be cost competitive with plunging renewable and storage costs.
The
study’s ‘Fast Transition’ scenario shows a realistic future of a near
fossil-free energy system by 2050, providing 55% more energy services globally
than today, with large amounts of wind, solar, batteries, electric vehicles,
and clean fuels such as green hydrogen (made from renewable electricity). Such
a net-zero carbon future is not only technically feasible, but the research
shows it is expected to cost the world $12 trillion less than continuing with
the polluting fossil fuel-based system we have today.
Professor Farmer adds, "The world is facing a simultaneous inflation crisis, national security crisis, and climate crisis, all caused by our dependence on high cost, insecure, polluting, fossil fuels with volatile prices. This study shows that ambitious policies to dramatically accelerate the transition to a clean energy future as quickly as possible are not only urgently needed for climate reasons, but can save the world trillions in future energy costs, giving us a cleaner, cheaper, more energy secure future."
The research is a collaboration between the Institute for New Economic Thinking at the Oxford Martin School, the Oxford Martin Programme on the Post-Carbon Transition and the Smith School of Enterprise & Environment at the University of Oxford, and SoDa Labs at Monash University.
Empirically grounded technology forecasts and the energy transition