کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
300648 512486 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel probabilistic approach to assess the blade throw hazard of wind turbines
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
A novel probabilistic approach to assess the blade throw hazard of wind turbines
چکیده انگلیسی

The increasing number of wind turbine power plant installations and the recent trend to locate them in proximity of build-up areas raise safety concerns as the rotor failure may result in blade throws that can endanger people living/working close to the wind farm. Therefore, it becomes strictly necessary to define setback distances and/or buffer zones to minimize the risk of damage or injury from components failure. However, according to the existing standards, buffer zones and/or setbacks distances are defined by ‘rule of thumbs’, usually based on the height of the wind tower, and are often overestimated, resulting in too large distances, which may result incompatible with the needs of increasing the number wind power installations. This explains why the scientific community is, now more than in the past, spending a lot of effort in the attempt of developing reliable methodologies able to assess the impact risk in the areas surrounding the wind farm.In the present paper a very novel and computationally efficient method is presented to estimate the blade throw hazard of wind turbines. The method combines a 3D dynamic model of the detached blade fragment with a rigorous probabilistic approach. Results are shown in terms of safe (white) and unsafe (dark) zones, which are estimated on the basis of an acceptable risk threshold.


► A probabilistic approach is proposed to assess the impact risk of wind blade fragments.
► Given a certain risk level, safe and unsafe zones can be easily identified.
► The approach might be exploited to find the optimal wind farm layout and minimize the risk of catastrophic event.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 51, March 2013, Pages 474–481
نویسندگان
, ,