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11-20 trong số 20 kết quả
Using Machine Learning to Create Turbine Performance Models (Presentation) [electronic resource]
Tác giả:
Xuất bản: Golden Colo Oak Ridge Tenn: National Renewable Energy Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2013
Bộ sưu tập: Metadata
ddc:  621.521
 
Distributed Aerodynamic Control using Active Trailing-Edge Flaps for Large Wind Turbines [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
Bộ sưu tập: Metadata
ddc:  621.521
 
An Unsteady Actuator Line Solver to Enable Adjoint Sensitivity Studies for Wake Steering [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
Bộ sưu tập: Metadata
ddc:  621.521
 
UAE6 - Wind Tunnel Tests Data - UAE6 - Sequence R - Raw Data [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
Bộ sưu tập: Metadata
ddc:  621.521
 
Autonomous Sensor System for Wind Turbine Blade Collision Detection [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
Bộ sưu tập: Metadata
ddc:  621.521
 
System Modeling Frameworks for Wind Turbines and Plants [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
Bộ sưu tập: Metadata
ddc:  621.521
 
Effects of Inflow Spatiotemporal Discretization on Wake Meandering and Turbine Structural Response using FAST.Farm [elec...
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
Bộ sưu tập: Metadata
ddc:  621.521
 
High-order methods for wind turbine simulations and moving to next-generation platforms [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States National Nuclear Security Administration Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
Bộ sưu tập: Metadata
ddc:  621.521
 
Wind Plant Modeling and Simulation [electronic resource] : The Amazing Interrelationships of Physics and Engineering in ...
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
Bộ sưu tập: Metadata
ddc:  621.521
 
Radar-cross-section reduction of wind turbines. part 1. [electronic resource]
Tác giả:
Xuất bản: Albuquerque NM Oak Ridge Tenn: Sandia National Laboratories Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2012
Bộ sưu tập: Metadata
ddc:  621.521
 

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