Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Lidars have gained a lot of popularity in the field of wind energy, partly because of their potential to be used for wind turbine control. By scanning the oncoming wind field, any threats such as gusts can be detected early and high loads can be avoided by taking preventive actions. Unfortunately, lidars suffer from some inherent aknesses that hinder measuring gusts; e.g., the averaging of high-frequency fluctuations and only measuring along the line of sight).  proposes a method to construct a useful signal from a lidar by fitting a homogeneous Gaussian velocity field to a set of scattered measurements. The output signal, an along-wind force, acts as a measure for the damaging potential of an oncoming gust and is shown to agree with the rotor-effective wind speed (a similar control input, but derived directly from the wind turbine’s shaft torque). Low data availability and the disadvantage of not knowing the velocity beten the lidar beams is translated into uncertainty and integrated in the output signal. This allows a designer to establish a control strategy based on risk, with the ultimate goal to reduce the extreme loads during operation.
['R. Bos', 'A.H. Giyanani', 'W.A.A.M. Bierbooms']
I am writing a research paper on a idea Assessing the Severity of Wind Gusts with Lidar
[{"from": "human", "value": "I am writing a research paper on a idea Assessing the Severity of Wind Gusts with Lidar"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Lidars have gained a lot of popularity in the field of wind energy, partly because of their potential to be used for wind turbine control. By scanning the oncoming wind field, any threats such as gusts can be detected early and high loads can be avoided by taking preventive actions. Unfortunately, lidars suffer from some inherent aknesses that hinder measuring gusts; e.g., the averaging of high-frequency fluctuations and only measuring along the line of sight).  proposes a method to construct a useful signal from a lidar by fitting a homogeneous Gaussian velocity field to a set of scattered measurements. The output signal, an along-wind force, acts as a measure for the damaging potential of an oncoming gust and is shown to agree with the rotor-effective wind speed (a similar control input, but derived directly from the wind turbine\u2019s shaft torque). Low data availability and the disadvantage of not knowing the velocity beten the lidar beams is translated into uncertainty and integrated in the output signal. This allows a designer to establish a control strategy based on risk, with the ultimate goal to reduce the extreme loads during operation."}]