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Stochastic Lagrangian approach for wind farm simulation

Abstract : We present a stochastic Lagrangian approach for atmospheric boundary layer simulation. Based on a turbulent-fluid-particle model, a stochastic Lagrangian particle approach could be an advantageous alternative for some applications, in particular in the context of down-scaling simulation and wind farm simulation. This paper presents two recent advances in this direction, first the analysis of an optimal rate of convergence result for the particle approximation method that grounds the space discretisation of the Lagrangian model, and second a preliminary illustration of our methodology based on the simulation of a Zephyr ENR wind farm of six turbines.
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Submitted on : Sunday, August 12, 2018 - 2:44:03 AM
Last modification on : Thursday, March 17, 2022 - 10:08:55 AM
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Mireille Bossy, Aurore Dupré, Philippe Drobinski, Laurent Violeau, Christian Briard. Stochastic Lagrangian approach for wind farm simulation. Forecasting and Risk Management of Renewable Energy, pp.45--71, 2018, 978-3-319-99051-4. ⟨10.1007/978-3-319-99052-1_3⟩. ⟨hal-01697815v3⟩



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