Arbeitspapier

The Optimal Share of Variable Renewables. How the Variability of Wind and Solar Power Affects their Welfare-optimal Deployment

This paper estimates the welfare-optimal market share of wind and solar power; explicitly taking into account their output variability. We present a theoretical valuation framework that consistently accounts for output variability over time; forecast errors; and the location of generators in the power grid; and evaluate the impact of these three factors on the marginal value of electricity from renewables. Then we estimate the optimal share of wind and solar power in Northwestern Europe from a calibrated numerical power market model. The optimal long-term share of wind power of total electricity consumption is estimated to be 20% at cost levels of 50 €/MWh; about three times the current market share of wind; but this estimate is subject to significant parameter uncertainty. Variability significantly impacts results: if winds were constant; the optimal share would be 60%. In addition; the effect of technological change; price shocks; and policies on the optimal share is assessed. We present and explain several surprising findings; including a negative impact of CO2 prices on optimal wind deployment.

Sprache
Englisch

Erschienen in
Series: Nota di Lavoro ; No. 90.2013

Klassifikation
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Computational Techniques; Simulation Modeling
Alternative Energy Sources
Energy: Government Policy
Market Structure, Pricing, and Design: Perfect Competition
Thema
Wind
Power
Solar
Power
Variable
Renewables
Cost-Benefit
Analysis
Numerical
Optimization
Competitiveness

Ereignis
Geistige Schöpfung
(wer)
Hirth, Lion
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2013

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Hirth, Lion
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2013

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