73 skills found · Page 1 of 3
IEAWindSystems / IEA 22 280 RWTRepository for the IEA 22-MW offshore reference wind turbine developed by the IEA Wind Task 55 REFWIND
yang7857854 / F2AF2A is an aero-hydro-servo-elastic tool developed based on AQWA by Yang Yang, a postdoctoral research associate in Liverpool John Moores University for performing fully coupled analysis of floating offshore wind turbines (FOWT). The aero-servo-elastic simulation capabilities are fully implemented within the user_force64.dll which is a built-in DLL of AQWA for external force calculation. For a coupled analysis of a floating offshore wind turbine subjected to wind, wave and current loadings, the aerodynamic loads acting on the rotor, the elastic responses of the blades and tower, and the servo-control are examined through the DLL, considering the influence from the platform motions. The platform position, velocity and acceleration at each degree of freedom are passed into the DLL to update the kinematics of the upper structures. Before being passed into DLL, these terms are transformed from the inertial coordinate system to the local coordinate system of the platform.
jmxhhyx / DCIC The Estimation Of SCADA Data Loss In Offshore Wind FarmWe extract actual SCADA data of a certain offshore wind farm and artificially remove some of the data, including but not limited to deleting all data of a certain time period, data of a certain turbine at a certain time, some fields of a certain turbine at a certain time, etc. The applicant needs to use the remaining data to recover the deleted data, and the accuracy of the recovery shall be the final evaluation benchmark
soanagno / WakenetOffshore wind farm wake modelling using deep feed forward neural networks for active yaw control and layout optimisation
ZongXR / DCIC2024 Offshore Wind Power本赛题要求选手基于风力海况气象数据、风机性能数据等，针对复杂多变气象和海况条件的深度耦合影响，提出海上风电出力预测模型，提升模型精度以及在工程应用中的可信度，为大规模风电接入下的能源安全可靠运行提供保障。A榜得分0.06490342，排名83；B榜得分0.06745705，排名55
Project-SEA-Stack / HydroChronoHydrodynamics for Project Chrono - enabling simulations of wave energy converters and other ocean systems.
NischalSehrawat / Simulator Offshore Wind TurbineThis is a MATLAB code to simulate an offshore wind turbine that I developed during my master thesis
yangmingmei / FloatingFarmYawA floating offshore wind farm simulation and flow control framework using FLORIS, MoorPy, and deep reinforcement learning
yangmingmei / LoFTLow-Order modelling of Floating offshore wind Turbines/Farms for grid integration research
Ildar-Daminov / Optimal Energy Management Of Offshore Wind Farms Considering Overplanting And DTR Of Export CablesMATLAB code and data for the paper “Optimal energy management of offshore wind farms considering the combination of overplanting and dynamic rating” in CIGRE Session, Paris, France, 2022
thisistheplace / Dash WtgviewerWind turbine generator foundation viewer developed as a Plotly Dash Component
Saptarshi-Sarkar / OC3 Hywind SparA MATLAB based package for dynamic simulation of spar-type floating offshore wind turbine.
NatLabRockies / WAVESOffshore Wind Farm Lifecycle Estimation
pdwytr / Optimizing Windmill Layout Competition By Shell LtdShell.ai Hackathon for Sustainable and Affordable Energy The world needs to move to a cleaner energy system if it is to meet growing energy demand while tackling climate change. In April 2020, Shell shared its ambition to become a net-zero emissions energy business by 2050, or sooner. Renewable electricity is central to this ambition. Electricity is the fastest-growing part of the energy system and, when generated from renewable sources such as wind, has a big role to play in reducing greenhouse gas emissions. We see digitalisation and AI as key enablers to the energy transition. Challenge: Windfarm Layout Optimisation In this Shell.ai Hackathon for Sustainable and Affordable Energy, we invite you to optimise the placement of 50 wind turbines of 100 m height and100 m rotor diameter each on a hypothetical 2D offshore wind farm area such that the AEP (Annual Energy Production) of the farm is maximized. One of the key problems of an unoptimized layout is the combined effect wind turbines can have on the wind speed distribution in a windfarm. As a wind turbine extracts energy from incoming wind, it creates a region behind it downstream where the wind speed is decreased- this is called a wake region. Note that wind turbines automatically orient their rotors, to face incoming wind from any direction. Due to the induced speed deficit, a turbine placed inside the wake region of an upstream turbine will naturally generate reduced electrical power. This inter-turbine interference is known as a wake effect. An optimal windfarm layout is important to ensure a minimum loss of power during this combined wake effect. This Shell.ai Hackathon for Sustainable and Affordable Energy edition, focuses on an interesting and complex coding problem. When competing, you will face challenges such as a high dimensionality, complex multimodality and the discontinuous nature of the search space. This makes optimizing the layout analytics difficult. But, armed with optimization strategies and computer algorithms, you can solve this problem.
jonathanpassoni / Owf Optimal LayoutOffshore Wind Farm Layout Optimization
kkunkunya / Uav Usv Marl Wind FarmMulti-Agent Reinforcement Learning for UAV-USV Cooperative Task Allocation in Offshore Wind Farms
TTK4900-RL-PSF / RL PSFA framework for stabilizing a floating offshore wind turbine using Reinforcement Learning and a Predictive Safety Filter.
OSUKED / Crown Estate WatchThis repository includes code for retrieving the latest data on UK offshore wind production and speeds, including spatial data at an individual turbine level.
tomkroll / RANS OffshoreWindTurbinesk-Epsilon Turbulence Model modified with injection of k and epsilon at actuator disk to match recovery of a real wind turbine
mpizosdim / VAWTanalysisA tool to estimate the aerodynamics and motion of an offshore vertical axis wind turbine
