Electrical energy storage could play a pivotal role in future low-carbon electricity systems, balancing inflexible or intermittent supply with demand. Cost projections are important for understanding this role, but data are. We derive experience curves following Wright's law16 using historic product prices and. Using the derived experience curves, we project future prices for EES on the basis of increased cumulative capacity (Fig. 2) and test the feasibility of these projections against indicativ. To map future cost reductions onto time, we model the market diffusion process of EES technologies with the archetypal sigmoid function (S-curve) that has been observed for the. The cumulative investment required to deploy EES is of interest to academics, industry and policy4,29. By linking product prices to cumulative capacity, experience curves offer the p. Our analysis comes with three key implications for industry, policymakers and academics.First, the common cost trajectory identified for EES technolo.
