The Fast All-sky Radiation Model for Solar applications (FARMS)
Project description
The Fast All-sky Radiation Model for Solar applications (FARMS) is used to compute cloudy irradiance.
Installing farms
Option 1: Install from PIP or Conda (recommended for analysts):
- Create a new environment:
conda create --name farms
- Activate directory:
conda activate farms
- Install farms:
pip install NREL-farms or
conda install nrel-farms --channel=nrel
Option 2: Clone repo (recommended for developers)
- Create farms environment and install package
Create a conda env: conda create -n farms
Run the command: conda activate farms
cd into the repo cloned in 1.
prior to running pip below, make sure the branch is correct (install from master!)
Install farms and its dependencies by running: pip install . (or pip install -e . if running a dev branch or working on the source code)
Recommended Citation
Yu Xie, Manajit Sengupta, Jimy Dudhia, “A Fast All-sky Radiation Model for Solar applications (FARMS): Algorithm and performance evaluation”, Solar Energy, Volume 135, 2016, Pages 435-445, ISSN 0038-092X, https://doi.org/10.1016/j.solener.2016.06.003. Science Direct Link.
Project details
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 nrel_farms-1.0.7.tar.gz.
File metadata
- Download URL: nrel_farms-1.0.7.tar.gz
- Upload date:
- Size: 44.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cc041d96e8726062a6b6787e300f35ca57e3edf945875452be8a68bbb3d1083b
|
|
| MD5 |
768220302354574eca89cb5beac17425
|
|
| BLAKE2b-256 |
0cd7adf6b97257a43bed59ac37e3c0a6d21c4b84df4895cca9c71891e9d3ab85
|
File details
Details for the file nrel_farms-1.0.7-py3-none-any.whl.
File metadata
- Download URL: nrel_farms-1.0.7-py3-none-any.whl
- Upload date:
- Size: 21.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7fbfec60f7884dcd99965418bc66346798099f196a56cf6aa170d15e28fb9fb2
|
|
| MD5 |
5611681d035a90ffa0a6578c3c10f2b0
|
|
| BLAKE2b-256 |
51b695a52fcd1a92e339a61d34d054401671c50e3522f8aaea37d413e651951d
|