CWP2025-10 优化提升场地评估:采用高保真建模更深入了解风能资源、尾流效应和发电量-_Whiffle_Bob Meijer-分享版.pdf

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CWP2025-10 优化提升场地评估:采用高保真建模更深入了解风能资源、尾流效应和发电量-_Whiffle_Bob Meijer-分享版.pdf

1、Bob Meijerbob.meijerwhiffle.nlImprove Your Site Assessment:High-Fidelity Modelling to Better Understand Wind Resource,Wake Effects and YieldWhiffle Proprietary-China Wind Power 2025Watch the presentation videos on VIMEO links are includedWho we areWhiffle operates and develops a unique,proprietary L

2、ES-based weather modelFounded in 2015 as a Delft University of Technology spin-offWith a focus on renewable energy modelling and forecastingCurrently 40+peopleLocated in Delft,The Netherlands1Whiffle Proprietary-China Wind Power 2025Onshore Moving into more complex terrain Complex orography Changing

3、 land-use Larger turbines Neighbouring wind farm development Weather impactOffshore Very large Offshore Wind Farms Larger turbines Build out in clusters of 100s of kms Often close to shore Generating complex atmospheric interaction2Todays challenges in Wind&Yield AssessmentWhiffle Proprietary-China

4、Wind Power 2025increased uncertainty and riskOnshore case study-complex flow-LLJ3Whiffle Proprietary-China Wind Power 2025Link to videoMaking sense of the wind in the Dutch/Belgian cluster4https:/ Proprietary-China Wind Power 2025Link to videooffshore case studyWhiffle Proprietary-China Wind Power 2

5、0255Fundamental shortcomings of traditional weather models and their impact6Increased risks.Error pronemodelling and forecasting.More uncertainty:less accurate predictionsThey rely onnon-physical and complex parameterizations.Traditional modelsuse low spatial resolutions(10km),missing fine-scalemete

6、orological phenomena.Increased risks:error pronemodelling and forecasting.They rely onnon-physical and complex parameterizations.Less efficient:time and moneyHigh computational costs,especially for high-resolution weather modelsWhiffle Proprietary-China Wind Power 2025What if one unified model could

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