Articles | Volume 9, issue 12
https://doi.org/10.5194/wes-9-2283-2024
https://doi.org/10.5194/wes-9-2283-2024
Research article
 | 
05 Dec 2024
Research article |  | 05 Dec 2024

Designing wind turbines for profitability in the day-ahead market

Mihir Kishore Mehta, Michiel Zaaijer, and Dominic von Terzi

Data sets

ERA5 Hourly Data on Single Levels from 1959 to Present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

ENTSO-E Transparency platform European Network of Transmission System Operators for Electricity (ENTSO-E) https://newtransparency.entsoe.eu/market/energyPrices

Model code and software

Turbine sizing for electricity and hydrogen production Mihir Mehta https://doi.org/10.5281/zenodo.8380355

Short summary
In a subsidy-free era, there is a need to optimize wind turbines for maximizing farm revenue instead of minimizing cost of energy. A wind-farm-level modeling framework with a simplified market model is used to optimize the turbine size for maximum profitability. The results show that the optimum size is driven mainly by the choice of the economic metric and the market price scenario, with a design optimized for the cost of energy already performing well w.r.t. most profitability-based metrics
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