Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Sylvain Laizet"'
Publikováno v:
Wind Energy, Vol 27, Iss 11, Pp 1412-1426 (2024)
ABSTRACT When planning a new wind farm, optimising the turbine layout to maximise power output is crucial. Traditional approaches based on analytical wake models often fail in complex terrain. In such areas, wake‐to‐wake interactions and terrain
Externí odkaz:
https://doaj.org/article/1e944a88d4114a8d84c2e6b6de7420a0
Publikováno v:
Wind Energy, Vol 27, Iss 12, Pp 1545-1562 (2024)
ABSTRACT Maximising the power production of wind farms is vital to meet the growing demand for wind energy and reduce its cost. Wake effects, resulting from the aerodynamic interactions between turbines in a wind farm, significantly impact farm effic
Externí odkaz:
https://doaj.org/article/16e9a8ef59134e92baf9c5b21c46599d
Publikováno v:
Wind Energy, Vol 25, Iss 7, Pp 1270-1289 (2022)
Summary The interaction between wind turbine wakes and atmospheric turbulence is characterised by complex dynamics. In this study, two major components of the atmospheric boundary layer dynamics have been isolated, namely, the mean velocity profile s
Externí odkaz:
https://doaj.org/article/6fe24ad73f5d4c2db9cd6851886ea5cb
Autor:
Mike Diessner, Joseph O'Connor, Andrew Wynn, Sylvain Laizet, Yu Guan, Kevin Wilson, Richard D. Whalley
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 8 (2022)
Bayesian optimization (BO) provides an effective method to optimize expensive-to-evaluate black box functions. It has been widely applied to problems in many fields, including notably in computer science, e.g., in machine learning to optimize hyperpa
Externí odkaz:
https://doaj.org/article/44bf3e04cbd84cc5a4ac931616156dcb
Autor:
Ali Girayhan Özbay, Sylvain Laizet
Publikováno v:
AIP Advances, Vol 12, Iss 4, Pp 045126-045126-22 (2022)
The usage of neural networks (NNs) for flow reconstruction (FR) tasks from a limited number of sensors is attracting strong research interest owing to NNs’ ability to replicate high-dimensional relationships. Trained on a single flow case for a giv
Externí odkaz:
https://doaj.org/article/d9c85f3166724668915780ee4bc769bd
Publikováno v:
Data in Brief, Vol 40, Iss , Pp 107725- (2022)
The dataset contains Eulerian velocity and pressure fields, and Lagrangian particle trajectories of the wake flow downstream of a smooth cylinder at a Reynolds number equal to 3900. An open source Direct Numerical Simulation (DNS) flow solver named I
Externí odkaz:
https://doaj.org/article/3bca24fc0bd44b6d9f1aa92eb06021be
Autor:
Ali Girayhan Özbay, Arash Hamzehloo, Sylvain Laizet, Panagiotis Tzirakis, Georgios Rizos, Björn Schuller
Publikováno v:
Data-Centric Engineering, Vol 2 (2021)
The Poisson equation is commonly encountered in engineering, for instance, in computational fluid dynamics (CFD) where it is needed to compute corrections to the pressure field to ensure the incompressibility of the velocity field. In the present wor
Externí odkaz:
https://doaj.org/article/703237adb4a04eebb78b6f3d419a4a18
Autor:
Paul Bartholomew, Georgios Deskos, Ricardo A.S. Frantz, Felipe N. Schuch, Eric Lamballais, Sylvain Laizet
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100550- (2020)
Xcompact3D is a Fortran 90–95 open-source framework designed for fast and accurate simulations of turbulent flows, targeting CPU-based supercomputers. It is an evolution of the flow solver Incompact3D which was initially designed in France in the m
Externí odkaz:
https://doaj.org/article/4cf2724141754c9eba328aab050cd9fb
Modern large–scale wind farms consist of multiple turbines clustered together, usually in well–structured formations. Clustering has a number of drawbacks during a wind farm’s operation, as some of the downstream turbines will inevitably operat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caab91aefcb8365115caa6d4ef5bb836
https://doi.org/10.5194/wes-2023-23
https://doi.org/10.5194/wes-2023-23
