Batteries Predicted to Become the Cheapest Option for Storing Electricity

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By 2050, batteries based on lithium-ion will be the cheapest way to store electricity, such as from solar or wind farms, according to a new study.

The new research calculates the cost of storing energy with different technologies, including large-scale batteries and pumped-storage hydroelectricity, and predicts those costs into the future.

Based on this model, battery technologies based on lithium-ion are predicted to be the cheapest way of storing energy for most applications, such as making sure energy grids do not suffer large fluctuations and allowing consumers to manage their bills.

These applications are particularly important in a world that relies more heavily on energy sources that may be intermittent—such as wind or solar power.

The new study, published today in Joule by researchers at Imperial College London, could help industry and policymakers decide where to invest research and capital to make the best use of energy storage technologies.

While previous studies of energy storage costs primarily focused on the investment costs only, the new study determines the ‘levelized cost of storage’—the full costs of storing energy including investment, operation and charging cost, as well as technology lifetime, efficiency and performance degradation.

Lead researcher Oliver Schmidt, from the Grantham Institute and the Centre for Environmental Policy at Imperial, said: “Our model is the first to project full energy storage costs into the future, allowing predictions of which technology will be most competitive in a particular application at a particular time.”

Why Lithium-Ion Wins

The model shows that at present, the cheapest energy storage mechanism is pumped-storage hydroelectricity, where water is pumped to a higher elevation with spare energy, then released to harvest the energy when needed.

However, as time progresses, pumped-storage hydroelectricity costs do not decrease, whereas lithium-ion battery costs come down, making them the cheapest options for most applications from 2030.

Hydrogen storage and flywheel technologies also become the cheapest for certain applications, such as when the stored energy needs to be discharged over a long time period or when it must be discharged very frequently, but lithium-ion technologies are cheapest for the majority of applications.

Schmidt explained: “Our projections show that lithium-ion technologies will see a rapid decline in costs over the next couple of decades. This is driven mainly by the fact that lithium-ion is manufactured at scale. The resulting reduction in initial investment costs is more significant than for other newer technologies such as flow batteries and flywheels, potentially outcompeting any performance advantages of these newer technologies.”

Optimal Energy Storage Technologies Over Time

Changing technology dominance for varying energy storage requirements from 2015-2030. Circled numbers represent the requirements of the 12 energy storage applications. Colours represent technologies with lowest LCOS.

Following in the Footsteps of Silicon Solar Panels

Dr Iain Staffell, senior author on the paper from the Centre from Environmental Policy, said: “We have found that lithium-ion batteries are following in the footsteps of crystalline silicon solar panels. First-generation solar cells were high performance but very expensive, so cheaper second- and third-generation designs were developed to supersede them. However, sheer economies of scale mean these first-generation panels now cannot be beaten on price.

“Similarly, lithium-ion batteries were once expensive and only suited to niche applications, but they are now being manufactured in such volumes that their costs are coming down much faster than the competing storage technologies.”

Schmidt added: “This doesn’t mean that these other technologies should be abandoned, but they have to perhaps focus on performance and efficiency, making them the best they can be before being deployed at a larger scale.”

The team have made their model open access, allowing consumers, academics, industry and policymakers to run their own simulations with the data for specific applications.