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- W2267800508 abstract "This dissertation will look at 3 related, but different topics. The rst, is a VHFwind proler network in Southern Ontario and Quebec, the OQnet that providesreal time wind measurements from 500m - 12000m. This study will look at waysof validating the data from these prolers and comparing them to forecast modelssuch as the Canadian GEM model in Chapter 2.The second part of this thesis will look at offshore wind resource assessment. Windenergy is a clean and viable alternative to burning fossil fuels for energy and isbeing expanded all over the world. Europe is a global leader when it comes towind energy and they have expanded this industry to include many offshore windfarms. As Canada looks to accelerate their wind energy production, companies havebegun to study the offshore wind resource in the Great Lakes. In 2010, TorontoHydro started a 2 year wind resource campaign. The lidar installed by TorontoHydro measured wind speed and direction up to hub height over a 2 year periodbut there were many gaps in the record. Other instruments, installed by the YorkUniversity team measured platform level winds and other weather variables. Usinga combination of lidar extrapolation and platform level winds a continuous seriesof hub height winds has been generated which is discussed in Chapter 3.Chapter 4 looks at using these data to look at Measure, Correlate, Predict (MCP)estimations of long term wind speed. Chapter 5 looks at Annual Energy Production(AEP) estimates for two potential wind farm designs for the Toronto Hydro site.Finally in Chapter 6, this dissertation looks at issues related to wind forecasting forthese wind farms and what kind of errors are associated with wind energy forecasts." @default.
- W2267800508 created "2016-06-24" @default.
- W2267800508 creator A5055296898 @default.
- W2267800508 date "2013-09-27" @default.
- W2267800508 modified "2023-09-27" @default.
- W2267800508 title "An Offshore Wind Resource Assessment and a Look into Model Errors in Wind Forecasts" @default.
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