Application of experience curves and learning to other fields

Publication date

2020

Authors

Louwen, AtseISNI 0000000493228249
Edelenbosch, Oreane Y.ISNI 0000000493300992
van Vuuren, Detlef P.ORCID 0000-0003-0398-2831ISNI 0000000040910093
McCollum, David L.
Pettifor, Hazel
Wilson, Charlie
Junginger, MartinORCID 0000-0002-5010-2051ISNI 0000000389848632

Editors

Junginger, Martin
Louwen, Atse

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

Abstract

The concept of experience curves is normally applied to analyze cost or price developments of technologies, but studies have shown that the concept can also be extended to other applications and fields. In this chapter, we show the application of experience curves to analyze energy use in industrial processes, energy demand of household appliances and discuss its application to describe and project developments in environmental impact of technologies. A second part of the chapter shows a case study of applying the concept of technological learning to the field of social behavior in what is called social learning (SL). This part of the chapter shows how the diffusion of electric vehicles is affected by different SL mechanisms.

Keywords

Battery-electric vehicles, Energy efficiency, Environmental learning, Innovation, Social learning, Technology diffusion, Transport, Taverne, General Energy, SDG 7 - Affordable and Clean Energy

Citation

Louwen, A, Edelenbosch, O Y, van Vuuren, D P, McCollum, D L, Pettifor, H, Wilson, C & Junginger, M 2020, Application of experience curves and learning to other fields. in M Junginger & A Louwen (eds), Technological Learning in the Transition to a Low-Carbon Energy System : Conceptual Issues, Empirical Findings, and Use, in Energy Modeling. Academic Press, pp. 49-62. https://doi.org/10.1016/B978-0-12-818762-3.00004-2