Endogenous Technological Change in Power Markets

Mathias Mier, Jacqueline Adelowo and Valeriya Azarova

No 373, ifo Working Paper Series from ifo Institute - Leibniz Institute for Economic Research at the University of Munich

Abstract: Decarbonization requires the transformation of power markets towards renewable energies and investment costs are decisive for the deployed technologies. Exogenous cost assumptions cannot fully reflect the underlying dynamics of technological change. We implement divergent learning-by-doing specifications in a multi-region power market model by means of mixed-integer programming to approximate non-linear investment costs. We consider European learning, regional learning, and three different ways to depreciate experience stocks within the European learning metric: perfect recall, continuous forgetting, and lifetime forgetting. Learning generally yields earlier investments. European learning fosters the deployment of solar PV and wind onshore, whereas regional learning leads to more wind offshore deployment in regions with high wind offshore quality. Perfect recall fosters solar PV and wind onshore expansion, whereas lifetime forgetting fosters wind offshore usage. Results for continuous forgetting are in between those of perfect recall and lifetime forgetting. Generally, learning leads to the earlier deployment of learning technologies but regional patterns are different across learning specifications and also deviate significantly from this general pattern of preponing investments.

Keywords: Endogenous technological change; learning-by-doing; forgetting; renewable energies; power market model; decarbonization (search for similar items in EconPapers)
JEL-codes: C61 H21 H23 H43 L94 (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-ene, nep-env and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.ifo.de/DocDL/wp-2022-373-mier-adelowo- ... ge-power-markets.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ces:ifowps:_373

Access Statistics for this paper

More papers in ifo Working Paper Series from ifo Institute - Leibniz Institute for Economic Research at the University of Munich Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().