Estimation of power generation based on wind sweeping area

How to estimate the power generation of a cluster of wind turbines?

A novel model using ANN is proposed to estimate the power generation of a cluster of wind turbines. The ANN-wake-power model is developed through six steps. Considering wake interactions between wind turbines, a two-dimensional wake model is adopted to estimate the wake effect.

Can a wind turbine model estimate total power generation?

The model can estimate the total power generation of wind turbines for given wind speeds, wind directions, and yaw angles. A case study has been conducted to introduce the modelling process. The experimental data of five wind turbines from an operating wind farm have been used to train and evaluate the model.

How Ann can be used to estimate power generation of wind turbines?

ANN technology can map input vectors to the corresponding output vector without assuming any fixed relationship between them . For a specific task, a well-trained ANN model can compete with a comprehensive physical model . In this study, ANN is adopted to estimate the power generation of wind turbine and wind farm.

What is the maximum wind power generation rate?

The VKE method predicts that the maximum generation rate equals 26% of the instantaneous downward transport of kinetic energy through hub height. This method only required the information of wind speeds and friction velocity of the control climate to provide an estimate of a maximum wind power generation rate.

Where can I find wind speeds and estimated generation?

PLUSWIND provides wind speeds and estimated generation on an hourly basis at almost all wind plants across the contiguous United States from 2018–2021. The repository contains wind speeds and generation based on three different meteorological models: ERA5, MERRA2, and HRRR. Data are publicly accessible in simple csv files.

What are large-scale Limits to wind power generation?

We evaluated large-scale limits to wind power generation in a hypothetical scenario of a large wind farm in Kansas using two distinct methods. We first used the WRF regional atmospheric model in which the wind farm interacts with the atmospheric flow to derive the maximum wind power generation rate of about 1.1 W e ⋅m −2.