[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Kim et al., 2021 - Google Patents

Changes in wind turbine power characteristics and annual energy production due to atmospheric stability, turbulence intensity, and wind shear

Kim et al., 2021

Document ID
14159340816383267771
Author
Kim D
Kim Y
Kim B
Publication year
Publication venue
Energy

External Links

Snippet

The power generation of wind turbines varies depending on external environmental conditions. To present universal correlations between conditions that affect wind speed and wind turbine power, this study analyzed the effects of three atmospheric factors …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction
    • Y02E10/722—Components or gearbox
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction
    • Y02E10/723—Control of turbines
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/72—Wind turbines with rotation axis in wind direction
    • Y02E10/726—Nacelles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/10—Devices for predicting weather conditions
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover, wind speed

Similar Documents

Publication Publication Date Title
Kim et al. Changes in wind turbine power characteristics and annual energy production due to atmospheric stability, turbulence intensity, and wind shear
Zhan et al. LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes
Murphy et al. How wind speed shear and directional veer affect the power production of a megawatt-scale operational wind turbine
St Martin et al. Wind turbine power production and annual energy production depend on atmospheric stability and turbulence
Schneemann et al. Cluster wakes impact on a far-distant offshore wind farm's power
Han et al. Atmospheric stability and topography effects on wind turbine performance and wake properties in complex terrain
Kumer et al. Turbulent kinetic energy estimates from profiling wind LiDAR measurements and their potential for wind energy applications
Rhodes et al. The effect of wind-turbine wakes on summertime US midwest atmospheric wind profiles as observed with ground-based doppler lidar
Schneemann et al. Offshore wind farm global blockage measured with scanning lidar
Gryning et al. Weibull wind-speed distribution parameters derived from a combination of wind-lidar and tall-mast measurements over land, coastal and marine sites
Menke et al. Does the wind turbine wake follow the topography? A multi-lidar study in complex terrain
Bodini et al. Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign
Clifton et al. Turbine inflow characterization at the national wind technology center
St Martin et al. Atmospheric turbulence affects wind turbine nacelle transfer functions
Tabrizi et al. Rooftop wind monitoring campaigns for small wind turbine applications: Effect of sampling rate and averaging period
Barthelmie et al. An overview of data for wake model evaluation in the Virtual Wakes Laboratory
Wharton et al. Measuring turbine inflow with vertically-profiling lidar in complex terrain
Pettas et al. On the effects of inter-farm interactions at the offshore wind farm Alpha Ventus
Santos et al. The Alaiz experiment: untangling multi-scale stratified flows over complex terrain
Foreman et al. Measurements of heat and humidity fluxes in the wake of offshore wind turbines
Angelou et al. Revealing inflow and wake conditions of a 6MW floating turbine
Qian et al. A novel probabilistic power curve model to predict the power production and its uncertainty for a wind farm over complex terrain
He et al. Assessment of urban wind energy resource in Hong Kong based on multi-instrument observations
Gryning et al. A study on the effect of nudging on long-term boundary layer profiles of wind and Weibull distribution parameters in a rural coastal area
Lundquist Wind shear and wind veer effects on wind turbines