Is a 100% renewable electricity mix viable and cost-efficient under weather uncertainty?
Work in progress
I propose a dynamic stochastic model to characterize the socially efficient mix of solar and wind electric generation and battery and hydrogen storage capacities under weather uncertainty, with and without the possibility of a fossil fuel backup. The welfare function accounts for both flexible consumption and demand curtailment. I solve a two-stage problem: the optimal management of the mix under weather uncertainty allows me to quantify the social value of its components. Performing this numerically complex measure for a wide variety of mixes, this then allows me to determine the efficient electricity mix. Without hydrogen, a 100% renewable mix is expensive (185 €/MWh). In spite of its low energy efficiency, allowing for hydrogen reduces the optimal renewable capacities sharply and reduces the levelized cost of electricity to 109 €/MWh. However, without fossil backup, the efficient mix is such that large amounts of electricity are produced with near-zero marginal value in many states. With a fossil backup, a non-negligible storage capacity only becomes optimal at a positive carbon price and marginal abatement costs rise sharply close to zero emissions.
Draft available on request.
Presented at (selection):
2025: EAERE conference (Bergen), FAERE conference (Nantes), ENTER Jamboree (Stockholm), UAB (Barcelona, ENTER exchange seminar), University of Leipzig lunchtime seminar.
2026: EDF (Paris), Doctorissimes (Paris), HYRCE (Liège), EEA-ESEM Conference (Dublin), IAEE European Conference (Munich)
This work was supported by two French government grants managed by the Agence Nationale de la Recherche under the "Investissements d'avenir" program (references "ANR-18-EURE-0021", "ANR-21-ESRE-0051"). Under the latter, this work was granted access to the MesoNET resources center and the MesoNET Project under the allocation m26158.