jaimeliew1 / Power-yaw-exponent-example

A recreation of the analysis in the journal paper titled *Analytical model for the power–yaw sensitivity of wind turbines operating in full wake*

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Power-yaw-exponent-example

A recreation of the analysis in the journal paper titled Analytical model for the power–yaw sensitivity of wind turbines operating in full wake (doi.org/10.5194/wes-5-427-2020).

Installation

  1. Clone this repository and use the package manager pip to install the dependencies (which are numpy, scipy, and matplotlib).

    git clone https://github.com/jaimeliew1/Power-yaw-exponent-example.git
    pip install foobar
  2. Download the data set LES of wake flow behind 2.3MW wind turbine (https://doi.org/10.11583/DTU.12005421.v1) and place the .*fluc files in the data folder of this repository.

Usage

Run the process_dataset.pyscript in Python:

python src/process_dataset.py

This should produce a table of alpha values for a given downstream distance in the outfolder.

About

A recreation of the analysis in the journal paper titled *Analytical model for the power–yaw sensitivity of wind turbines operating in full wake*


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