Multi-lidar wind resource mapping in complex terrain
| Autor: | Johannes Wagner, Steven P. Oncley, Robert Menke, Jakob Mann, Nikola Vasiljevic |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
doppler lidar
010504 meteorology & atmospheric sciences 020209 energy lcsh:TJ807-830 Flow (psychology) lcsh:Renewable energy sources Energy Engineering and Power Technology Terrain 02 engineering and technology 01 natural sciences Perdigão 2017 Wind speed 0202 electrical engineering electronic engineering information engineering 0105 earth and related environmental sciences Remote sensing geography Tree canopy WRF-LES geography.geographical_feature_category Verkehrsmeteorologie Renewable Energy Sustainability and the Environment Mode (statistics) 15. Life on land Lidar Ridge Drag Geology |
| Zdroj: | Menke, R, Vasiljević, N, Wagner, J, Oncley, S P & Mann, J 2020, ' Multi-lidar wind resource mapping in complex terrain ', Wind Energy Science, vol. 5, no. 3, pp. 1059-1073 . https://doi.org/10.5194/wes-5-1059-2020 Wind Energy Science, Vol 5, Pp 1059-1073 (2020) |
| ISSN: | 2366-7451 |
| Popis: | Scanning Doppler lidars have great potential for reducing uncertainty of wind resource estimation in complex terrain. Due to their scanning capabilities, they can measure at multiple locations over large areas. We demonstrate this ability with dual-Doppler lidar measurements of flow over two parallel ridges. The data have been collected using two pairs of scanning lidars operated in a dual-Doppler mode during the Perdigão 2017 measurement campaign. There the scanning lidars mapped the flow 80 m above ground level along two ridges, which are considered favorable for wind turbine siting. The measurements are validated with sonic wind measurements at each ridge. By analyzing the collected data, we found that wind speeds are on average 10 % higher over the southwest ridge compared to the northeast ridge. At the southwest ridge, the data show, for approach flow normal to the ridge, a change of 20 % in wind speed along the ridge. Fine differences like these are difficult to reproduce with computational flow models, as we demonstrate by comparing the lidar measurements with Weather Research and Forecasting large-eddy simulation (WRF-LES) results. For the measurement period, we have simulated the flow over the site using WRF-LES to compare how well the model can capture wind resources along the ridges. We used two model configurations. In the first configuration, surface drag is based purely on aerodynamic roughness, whereas in the second configuration forest canopy drag is also considered. We found that simulated winds are underestimated in WRF-LES runs with forest drag due to an unrealistic forest distribution on the ridge tops. The correlation of simulated and observed winds is, however, improved when the forest parameterization is applied. WRF-LES results without forest drag overestimated the wind resources over the southwest and northeast ridges by 6.5 % and 4.5 %, respectively. Overall, this study demonstrates the ability of scanning lidars to map wind resources in complex terrain. |
| Databáze: | OpenAIRE |
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