Wind power generation sensor

Why do wind turbines need a wind speed sensor?

WTGs rely on accurate wind speed measurements for safe and efficient operation. However, physical wind speed sensors are prone to inaccuracies and failures due to environmental factors or inherent issues, resulting in partial or missing measurements that can affect the turbine’s performance.

Can DT be used as a virtual sensor for wind turbine generators?

The comparison between the estimated wind speeds and the real wind speeds demonstrates the effectiveness of DT as a virtual sensor for wind turbine generators. The estimated wind speeds exhibited a close agreement with the real wind speeds within 80% for the given generated power values.

Can a virtual sensor predict wind speed?

The virtual sensor was then validated and tuned using real sensory data from the physical turbine model. The results from the developed DT model showed the power of the DT as a virtual sensor in estimating wind speed according to the generated power. 1. Introduction

Can virtual sensors be used for wind turbines?

One of the earliest studies for the virtual sensors for wind turbines is for the wind speed signal, 1 where multi-layer perceptron (MLP)-based artifical neural networks (ANNs) is shown to be the best performer out of the four data driven algorithms applied.

How is wind speed estimated based on generated power?

The DT model, based on the provided wind turbine specifications and an estimation method, was used to estimate wind speeds based on generated power. The obtained results were then compared with real-world data collected from wind speed sensors under different generated power conditions.

How will IoT influence wind power generation?

Power generation through wind turbine also depends on various parameters such as wind speed estimation, surface landscape and weather conditions. Innovative sensing techniques and IoT will probably play a key role in obtaining and communicating raw data inputs to wind prediction models (Muhanji 2019).