Coppin et al., 2003 - Google Patents
Wind resource assessment in Australia: a planners guideCoppin et al., 2003
View PDF- Document ID
- 11258697652466317460
- Author
- Coppin P
- Ayotte K
- Steggel N
- Publication year
External Links
Snippet
This guide seeks to give a background to the many aspects of wind resource assessment for the utilisation of wind energy. While the wind resource is the fundamental input to any consideration of a wind farm prospect, it is only one of the many factors which must be …
- 230000000694 effects 0 abstract description 48
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
-
- 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
- G01W1/06—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover, wind speed giving a combined indication of weather conditions
-
- 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
- Y02E10/74—Wind turbines with rotation axis perpendicular to the wind direction
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Coppin et al. | Wind resource assessment in Australia: a planners guide | |
| Peña et al. | Ten years of boundary-layer and wind-power meteorology at Høvsøre, Denmark | |
| Sunderland et al. | Estimating the wind resource in an urban area: A case study of micro-wind generation potential in Dublin, Ireland | |
| Draxl et al. | Mountain waves can impact wind power generation | |
| Ahmed | Investigation of wind characteristics and wind energy potential at Ras Ghareb, Egypt | |
| Greene et al. | Estimated changes in wind speed and wind power density over the western High Plains, 1971–2000 | |
| Petersen et al. | Wind conditions and resource assessment | |
| Olsen et al. | Small wind site assessment guidelines | |
| Hiester et al. | Meteorological aspects of siting large wind turbines | |
| Cao et al. | Towards urban wind utilization: The spatial characteristics of wind energy in urban areas | |
| Mortensen | Planning and development of wind farms: wind resource assessment and siting | |
| Tadie Fogaing et al. | A review of wind energy resource assessment in the urban environment | |
| Mortensen | Wind resource assessment using the WAsP software (DTU Wind Energy E-0135) | |
| Landwehr et al. | Wind energy potential of weather systems affecting South Africa’s Eastern Cape Province | |
| Haupt et al. | First year report of the a2e mesoscale to microscale coupling project | |
| Vincent et al. | Forecasting intrahourly variability of wind generation | |
| Peña et al. | One-year-long turbulence measurements and modeling using large-eddy simulation domains in the Weather Research and Forecasting model | |
| Sakagami et al. | Power curve performance of coastal turbines subject to low turbulence intensity offshore winds | |
| Mortensen | 46200 Planning and Development of Wind Farms: Wind resource assessment using the WAsP software | |
| Olsen et al. | Low-level jets in the North and Baltic Seas: Mesoscale Model Sensitivity and Climatology | |
| Obhrai et al. | A review of current guidelines and research on wind modelling for the design of offshore wind turbines | |
| Ivanova et al. | Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms | |
| Arthur et al. | Evaluating mesoscale model predictions of diurnal speedup events in the Altamont Pass Wind Resource Area of California | |
| van Schaik et al. | Resolving three-dimensional wind velocity fields with sequential wind-Doppler LiDAR for wind energy in the complex terrain-Gotthard Pass, Switzerland | |
| Berg et al. | Description of the Columbia Basin wind energy study (CBWES) |