- Book Chapter
Grid-scale storage technologies have emerged as critical components of a decarbonized power system. Recent developments in emerging technologies, ranging from mechanical energy storage to electrochemical batteries and thermal storage, play an important role for the deployment of low-carbon electricity options, such as solar photovoltaic and wind electricity. This chapter details the types of technological learning models to evaluate the experience rates (ERs) for key grid-scale storage technologies, including lithium-ion and lead-acid batteries, pumped hydro storage, and electrolysis and fuel cells. It updates the state of the literature to determine learning rates of these and other grid-scale storage technologies. We discuss methodological issues in determining ERs for grid-scale storage systems, which often provide multiple applications and services on the grid. In addition, the chapter highlights future outlooks and new areas for research, including topics related to learning-by-doing, learning-by-searching, and manufacturing localization to derive further insights. Rapid cost reductions in lithium-ion batteries have the potential to disrupt electricity and transportation sectors, creating further complementarities and innovation cycles. More rigorous data collection for grid-scale storage systems on cost indicators that incorporate multiple services and applications provided by storage, life cycle greenhouse gas emissions from storage options, and materials availability of emerging battery chemistries could inform better policies to enable low-carbon power systems. Show more
Book titleTechnological Learning in the Transition to a Low-Carbon Energy System. Conceptual Issues, Empirical Findings, and Use in Energy Modeling
Pages / Article No.
SubjectElectricity storage; batteries; pumped hydro storage; electrolysis–fuel cells; grid-scale storage
Related publications and datasets
Is part of: https://doi.org/10.1016/C2018-0-04547-8
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