Hurricane eyewall winds and structural response of wind turbines
This paper describes the analysis of a wind turbine and support structure subject to simulated hurricane wind fields.
This paper describes the analysis of a wind turbine and support structure subject to simulated hurricane wind fields.
Below is the abstract of an article in Nature: Taming hurricanes with arrays of offshore wind turbines, describing computer simulations that indicate that wind turbines could disrupt a hurricane enough to reduce peak wind speeds by up to 92 mph and decrease storm surges by up to 79 percent. Honeste\_vivere's answer mentions the possibility of destroying a farm, and the abstract includes "The reduction in wind speed due to large arrays increases the probability of survival of even present turbine designs." What seems to be missing at this level is the need to produce turbines which will work effectively at hurricane-force winds. My question is not about the financial, logistical or engineering challenges of building a large amount of wind turbines to "tame" hurricanes, as this is solely a computer model and it will probably be a classic case of a model saying "possibly" but in real life it will not happen.
The preliminary results indicate that the current provisions are not suitable for describing hurricane winds, and hence wind loads associated
We simulated and assessed the environmental forces including wave and wind loads generated by the most extreme historical hurricanes in the US northeast.
Adapted from [Søresnen 2005] Variable Description Distribution Type Expected Value COV D Tower diameter (base) -‐ 6 m -‐ t Tower thickness (base) -‐ 0.027 m -‐ E Young’s modulus -‐ 210 GPa -‐ Fy Yield stress LN 1 0.05 Xy,ss Model uncertainties due to scale effects: yield stress LN 1 0.05 XE,ss Model uncertainties due to scale effects: Young’s modulus LN 1 0.02 Xcr Critical load capacity LN 1 0.10 The damage function D is calculated by comparing all the sampled bending moment values to the sampled resistance-‐to-‐buckling values to find the probability of buckling for each 10-‐ minute mean wind speed u, turbulence intensity I, and yaw status A: € D(u; I,A) = Pr Mcr ≤M(u; I,A) ( ) [A7] Carnegie Mellon Electricity Industry Center Working Paper CEIC-‐11-‐03 www.cmu.edu/electricity DRAFT – Do not cite or distribute 11 Nomenclature T = time period to investigate n = number of turbines in the wind farm u = 10-min avg.
We present a probabilistic model to estimate the number of turbines that would be destroyed by hurricanes in an offshore wind farm. up to 6% of the turbine
Older turbines can generate in up to about 22m/s, newer turbines around 25-28 m/s. Structurally they are mostly fine until above 40 m/s.
Given the catastrophic risk of natural hazards such as hurricanes, the question has emerged as offshore wind farms enter the U.S. energy mix: how will offshore wind turbines fare in these conditions? Current International Electrotechnical Commission (IEC) design guidelines for offshore wind turbines do not address the type of winds seen in Category 3-5 levels, and it is likely that significant modifications and/or redesigns would need to be made in order to confirm the structural reliability of current turbines operating in these conditions for a standard 20-year service lifetime. Field measurements of sea states, wave conditions and the significant variability of wave heights during extreme events are essential for the design of offshore wind farms. ABS Group has more than 11 GW of offshore wind experience worldwide and served as the Certified Verification Agent for the Block Island wind farm, the first commercial offshore wind farm in the U.S. We also provided an offshore wind inspection safety assessment for the U.S. Bureau of Safety and Environmental Enforcement (BSEE) to deliver insights into risks that need to be assessed in order to promote safer, more reliable wind inspection activities.