An open-source constrained turbulence generator
Project description
PyConTurb: Constrained Stochastic Turbulence for Wind Energy Applications
This Python package uses a novel method to generate stochastic turbulence boxes that are constrained by one or more measured time series. Details on the theory can be found in this paper from Torque 2016.
Despite the package's name, the main function, gen_turb can be used with or
without constraining time series. Without the constraining time series, it is
the Veers simulation method.
Installation, Examples, Bug Reporting and More
Please see the documentation website.
Source Code
The source code is available on GitLab: https://gitlab.windenergy.dtu.dk/pyconturb/pyconturb
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyconturb-2.7.2.tar.gz.
File metadata
- Download URL: pyconturb-2.7.2.tar.gz
- Upload date:
- Size: 23.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b3a296e201db2e80857ee699b14f2b896c6afb497138aab36e3c10285e063a8b
|
|
| MD5 |
141f4eb3b110fdfee8030c59d39f2188
|
|
| BLAKE2b-256 |
e6f962a841301f85ff0f936917588bd8453042c4897008a167c8137d547d08cc
|
File details
Details for the file pyconturb-2.7.2-py3-none-any.whl.
File metadata
- Download URL: pyconturb-2.7.2-py3-none-any.whl
- Upload date:
- Size: 28.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
be13b32d99e6bc503df1f3048b4953b9d4654930ee55cece31bec4ae5f113db5
|
|
| MD5 |
a9d9724aad05598b5baf63faec2bb8c1
|
|
| BLAKE2b-256 |
012cf9fc7d9c41cf7c876f9edf227abc0e37861af3be3aca208634352e4a2a05
|
