Estimating the learning rate of a technology with multiple variants: The case of carbon storage

Garrett Upstill and Peter Hall

Energy Policy, 2018, vol. 121, issue C, 498-505

Abstract: Learning rates enable the generation of first-order estimates of the cost of a technology as cumulative production grows, and play an important role in energy-economic modelling. This paper extends the component-based approach to estimating future learning rates to the case of a technology with multiple variants. It sets out a bottom-up method for estimating the composite learning rate including the situation where the proportional contribution of the different variants changes as cumulative production increases. The method is demonstrated for carbon storage using representative cost and distribution data from recent studies of storage in the European region.

Keywords: Carbon storage; Technology learning; Negative learning rate; Energy modelling (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:121:y:2018:i:c:p:498-505

DOI: 10.1016/j.enpol.2018.05.017

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