Hipersim
Introduction
Hipersim is a collection of tools for computationally-efficient simulation of Wind Energy problems using statistical and machine learning methods. Currently, the package contains the following submodules:
-
turbgen:
- Generation of 3D frozen turbulence fields ("turbulence boxes") with the Mann turbulence spectrum
- Constrained turbulence field generation and application of constraints on pre-generated turbulence fields
-
surrogates:
- A feedforward neural network toolbox, training and evaluation of feedforward neural networks.
- A set of tools for surrogate-based modeling and analysis of wind farms
How to cite
If you use this code for academic research, you are encouraged to cite our paper:
Text format:
Nikolay Dimitrov and Mads Pedersen and Ásta Hannesdóttir An open-source Python-based tool for Mann turbulence generation with constraints and non-Gaussian capabilities, The Science of Making Torque from Wind (TORQUE 2024): Modeling and simulation technology, Journal of Physics: Conference Series 5, IOP Publishing, 2024, DOI: 10.1088/1742-6596/2767/5/052058
BibTeX format:
@inproceedings{Dimitrov2024,
title = "An open-source Python-based tool for Mann turbulence generation with constraints and non-Gaussian capabilities",
author = "Nikolay Dimitrov and Mads Pedersen and {\'A}sta Hannesd{\'o}ttir",
year = "2024",
doi = "10.1088/1742-6596/2767/5/052058",
language = "English",
series = "Journal of Physics: Conference Series",
publisher = "IOP Publishing",
number = "5",
booktitle = "The Science of Making Torque from Wind (TORQUE 2024): Modeling and simulation technology",
address = "United Kingdom",
note = Conference date: 29-05-2024 Through 31-05-2024",
}
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