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Wind Farm Impact in Power System and Alternatives to Improve the Integration Part 10

Tham khảo tài liệu 'wind farm impact in power system and alternatives to improve the integration part 10', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Advanced Wind Resource Characterization and Stationarity Analysis for Improved Wind Farm Siting 169 this illustrates that the Weibull approach is not the best approach to fit the wind power PDF. For this location the Gauss-Hermite and Kernel approaches have approximately the same error. However since the kernel estimates are produced using parameters which are computed over the whole range there is a tendancy and risk that the kernel approach will be too weighted toward the lower e.g. less significant from an electrical production standpoint end of the spectrum and therefore the Gauss-Hermite approach will yield results which more accurately model the wind power density and the electrical production potential. Fig. 3. Actual and Modeled Wind Power Density at Boise City Oklahoma. Values represent model estimates of scaled wind power density. The Black curve Weibull distribution fit the Green curve is a Kernel estimator and the Red curve is a Gauss-Hermite expansion fit. 3. Non-stationarities and impact of climate change It is well-known that climate change can influence the radiation balance and therefore wind patterns. Recent findings from the Intergovernmental Panel on Climate Change IPCC 2007 have shown that greenhouse gas-induced climate change is likely to significantly alter climate patterns in the future. One wind-industry relevant example is that climate change global warming is expected to affect synoptic and regional weather patterns which would result in changes in wind speed and variability. Therefore there is a need to examine climate change scenarios to determine potential changes in wind speed and thus wind 170 Wind Farm - Technical Regulations Potential Estimation and Siting Assessment power. Wind power facilities typically operate on the scale of decades so understanding any potential vulnerabilities related to climate variability is critical for siting such facilities. An exhaustive review of the existing research on the projected impacts of .