Sylvain Laizet
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View article: Asymptotic scaling laws for periodic turbulent boundary layers and their numerical simulation up to $\textit{Re}_{\boldsymbol{\theta}}\text{ = 8300}$
Asymptotic scaling laws for periodic turbulent boundary layers and their numerical simulation up to $\textit{Re}_{\boldsymbol{\theta}}\text{ = 8300}$ Open
We provide a rigorous analysis of the self-similar solution of the temporal turbulent boundary layer, recently proposed by Biau (2023 Comput. Fluids 254 , 105795), in which a body force is used to maintain a statistically steady turbulent …
View article: Improved wind-power extraction downstream of a 3D hill using a tilted actuator disk
Improved wind-power extraction downstream of a 3D hill using a tilted actuator disk Open
A three-dimensional steep hill with an actuator disk (representing a wind turbine) positioned on the hill-top is investigated experimentally and numerically. Various tilt angles of the disk, inducing wake steering, are tested and compared …
View article: Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control
Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Open
Traditional wind farm control operates each turbine independently to maximize individual power output. However, coordinated wake steering across the entire farm can substantially increase the combined wind farm energy production. Although …
View article: Quantum algorithm for the advection-diffusion equation by direct block encoding of the time-marching operator
Quantum algorithm for the advection-diffusion equation by direct block encoding of the time-marching operator Open
A quantum algorithm for simulating multidimensional scalar transport problems using a time-marching strategy is presented. A direct unitary block encoding of the explicit time-marching operator is constructed, resulting in the intrinsic su…
View article: Protocol for Developing the Sustainable Scientific Machine-learning Reporting Toolkit (SSMART) v1
Protocol for Developing the Sustainable Scientific Machine-learning Reporting Toolkit (SSMART) v1 Open
This protocol describes the development of the Sustainable Scientific Machine-learning Reporting Toolkit (SSMART). This will be a checklist-based reporting guideline for scientific machine learning (SML) based studies in the physical scien…
View article: A Distributed-memory Tridiagonal Solver Based on a Specialised Data Structure Optimised for CPU and GPU Architectures
A Distributed-memory Tridiagonal Solver Based on a Specialised Data Structure Optimised for CPU and GPU Architectures Open
Various numerical methods used for solving partial differential equations (PDE) result in tridiagonal systems. Solving tridiagonal systems on distributed-memory environments is not straightforward, and often requires significant amount of …
View article: Wind Farm Power Maximisation via Wake Steering: A Gaussian Process‐Based Yaw‐Dependent Parameter Tuning Approach
Wind Farm Power Maximisation via Wake Steering: A Gaussian Process‐Based Yaw‐Dependent Parameter Tuning Approach Open
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 eff…
View article: Unsupervised random quantum networks for PDEs
Unsupervised random quantum networks for PDEs Open
Classical Physics-informed neural networks (PINNs) approximate solutions to PDEs with the help of deep neural networks trained to satisfy the differential operator and the relevant boundary conditions. We revisit this idea in the quantum c…
View article: Bayesian Optimisation of a Two‐Turbine Configuration Around a 2D Hill Using Large Eddy Simulations
Bayesian Optimisation of a Two‐Turbine Configuration Around a 2D Hill Using Large Eddy Simulations Open
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‐in…
View article: Multi-Fidelity Bayesian Optimisation of Wind Farm Wake Steering using Wake Models and Large Eddy Simulations
Multi-Fidelity Bayesian Optimisation of Wind Farm Wake Steering using Wake Models and Large Eddy Simulations Open
Improving the power output from wind farms is vital in transitioning to renewable electricity generation. However, in wind farms, wind turbines often operate in the wake of other turbines, leading to a reduction in the wind speed and the r…
View article: Quantum algorithm for solving the advection equation using Hamiltonian simulation
Quantum algorithm for solving the advection equation using Hamiltonian simulation Open
A quantum algorithm for solving the advection equation by embedding the discrete time-marching operator into Hamiltonian simulations is presented. One-dimensional advection can be simulated directly since the central finite-difference oper…
View article: Asymptotic scaling laws for periodic turbulent boundary layers and their numerical simulation up to Re_theta = 8300
Asymptotic scaling laws for periodic turbulent boundary layers and their numerical simulation up to Re_theta = 8300 Open
We provide a rigorous analysis of the self-similar solution of the temporal turbulent boundary layer, recently proposed in [2], in which a body force is used to maintain a statistically steady turbulent boundary layer with periodic boundar…
View article: Quantum Computing for nonlinear differential equations and turbulence
Quantum Computing for nonlinear differential equations and turbulence Open
A large spectrum of problems in classical physics and engineering, such as turbulence, is governed by nonlinear differential equations, which typically require high-performance computing to be solved. Over the past decade, however, the gro…
View article: Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations
Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations Open
Maximising the power production of large wind farms is key to the transition towards net zero. The overarching goal of this paper is to propose a computational method to maximise the power production of wind farms with two practical design…
View article: Unsupervised Random Quantum Networks for PDEs
Unsupervised Random Quantum Networks for PDEs Open
Classical Physics-informed neural networks (PINNs) approximate solutions to PDEs with the help of deep neural networks trained to satisfy the differential operator and the relevant boundary conditions. We revisit this idea in the quantum c…
View article: Quantum Algorithm for Solving the Advection Equation using Hamiltonian Simulation
Quantum Algorithm for Solving the Advection Equation using Hamiltonian Simulation Open
A quantum algorithm for solving the advection equation by embedding the discrete time-marching operator into Hamiltonian simulations is presented. One-dimensional advection can be simulated directly since the central finite difference oper…
View article: The 2DECOMP&FFT library: an update with new CPU/GPUcapabilities
The 2DECOMP&FFT library: an update with new CPU/GPUcapabilities Open
The 2DECOMP&FFT library is a software framework written in modern Fortran to build large-scale parallel applications. It is designed for applications using three-dimensional structured meshes with a particular focus on spatially implicit n…
View article: Sensitivity analysis of wake steering optimisation for wind farm power maximisation
Sensitivity analysis of wake steering optimisation for wind farm power maximisation Open
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 o…
View article: Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations
Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations Open
Maximising the power production of large wind farms is key to the transition towards net zero. The overarching goal of this paper is to propose a computational method to maximise the power production of wind farms with two practical design…
View article: Data and scripts for reproducing "Quantifying Uncertainties in Direct Numerical Simulations of a Turbulent Channel Flow"
Data and scripts for reproducing "Quantifying Uncertainties in Direct Numerical Simulations of a Turbulent Channel Flow" Open
This is the accompanying data and Python scripts to reproduce the figures in "Quantifying Uncertainties in Direct Numerical Simulations of a Turbulent Channel Flow", currently under review.
View article: Data and scripts for reproducing "Quantifying Uncertainties in Direct Numerical Simulations of a Turbulent Channel Flow"
Data and scripts for reproducing "Quantifying Uncertainties in Direct Numerical Simulations of a Turbulent Channel Flow" Open
This is the accompanying data and Python scripts to reproduce the figures in "Quantifying Uncertainties in Direct Numerical Simulations of a Turbulent Channel Flow", currently under review.