The Optimal Share of Variable Renewables

25 Pages Posted: 8 May 2012

See all articles by Lion Hirth

Lion Hirth

Neon Neue Energieökonomik GmbH; Hertie School of Governance

Date Written: April 2012

Abstract

The variability of wind and solar power crucially affects their social value. This paper determines the welfare-optimal market share of wind and solar power under different technology, price, and policy assumptions, focussing on the impact of variability. A numerical electricity market model with high temporal resolution is used to represent variability realistically, and empirical data are used to capture crucial correlations over time and across space. Results indicate that variability significantly limits the role that wind and solar power should play in a cost-optimal energy system. The optimal share of wind power in North- Western Europe is estimated to be 7-10% in the medium term and around 25% in the long term. If wind speeds were constant, the optimal deployment rate would be up to twice as high. Solar power is too expensive to be deployed efficiently, even at very optimistic assumptions regarding cost development.

Keywords: wind power, solar power, variable renewables, cost-benefit analysis, numerical optimization

JEL Classification: C61, C63, Q42, Q48, D41

Suggested Citation

Hirth, Lion, The Optimal Share of Variable Renewables (April 2012). USAEE Working Paper No. 2054073, Available at SSRN: https://ssrn.com/abstract=2054073 or http://dx.doi.org/10.2139/ssrn.2054073

Lion Hirth (Contact Author)

Neon Neue Energieökonomik GmbH ( email )

Karl-Marx-Platz 12
12043
Berlin, 12043
Germany

HOME PAGE: http://www.neon-energie.de

Hertie School of Governance ( email )

Friedrichstraße 180
Berlin, 10117
Germany

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
265
Abstract Views
1,573
rank
144,183
PlumX Metrics