Loại tài liệu:    Chỉ tìm trong: 
11-20 trong số 21 kết quả
Validating the MFiX-DEM Model for Flow Regime Prediction in a 3D Spouted Bed [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Office of the Assistant Secretary of Energy for Fossil Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2018
Bộ sưu tập: Báo, Tạp chí
ddc:  622.33
 
Validating the MFiX-DEM Model for Flow Regime Prediction in a 3D Spouted Bed [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Office of the Assistant Secretary of Energy for Fossil Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2018
Bộ sưu tập: Báo, Tạp chí
ddc:  622.7
 
Reliability and Lifetime Prediction Model of Sintered Silver under High-Temperature Cycling [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2021
Bộ sưu tập: Báo, Tạp chí
ddc:  553.8
 
Wind Turbines
Tác giả: Frede Blaabjerg (Ed), Elizaveta Liivik (Ed)
Xuất bản: Basel, Switzerland: MDPI - Multidisciplinary Digital Publishing Institute , 2019
Bộ sưu tập: Tài liệu truy cập mở
ddc: 
 
The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind power ramps one or more hours ahead of their impact on a wind plant. [electronic
Tác giả:
Xuất bản: Oak Ridge, Tenn: Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2012
Bộ sưu tập: Báo, Tạp chí
ddc:  621.531
 
The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind power ramps one or more hours ahead of their impact on a wind plant. [electronic
Tác giả:
Xuất bản: Oak Ridge, Tenn: Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2012
Bộ sưu tập: Báo, Tạp chí
ddc:  621.5
 
Advancements in Wind Integration Study Data Modeling [electronic resource] : The Wind Integration National Dataset (WIND...
Tác giả:
Xuất bản: Golden, Colo. : Oak Ridge, Tenn: National Renewable Energy Laboratory (U.S.) ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2013
Bộ sưu tập: Báo, Tạp chí
ddc:  333.9
 
Overview and Meteorological Validation of the Wind Integration National Dataset toolkit [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2015
Bộ sưu tập: Báo, Tạp chí
ddc:  621.539
 
Guide to Using the WIND Toolkit Validation Code [electronic resource]
Tác giả:
Xuất bản: Golden, Colo. : Oak Ridge, Tenn: National Renewable Energy Laboratory (U.S.) ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2014
Bộ sưu tập: Báo, Tạp chí
ddc:  621.31
 
Wind Forecasting Improvement Project In Complex Terrain Near the Columbia River Gorge [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2019
Bộ sưu tập: Báo, Tạp chí
ddc:  333.9164
 

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