National Renewable Energy Laboratory's (NREL's) Renewable Energy Potential(V) eXchange Tool: reVX
Project description
reVX command line tools
Using Eagle Env
If you would like to run reVX on Eagle (NREL’s HPC) you can use a pre-compiled conda env:
conda activate /shared-projects/rev/modulefiles/conda_env
or
source activate /shared-projects/rev/modulefiles/conda_env
Installing reVX
NOTE: The installation instruction below assume that you have python installed on your machine and are using conda as your package/environment manager.
Option 1: Install from PIP or Conda (recommended for analysts):
- Create a new environment:
conda create --name revx python=3.7
- Activate directory:
conda activate revx
- Install reVX:
pip install NREL-reVX or
conda install nrel-revx --channel=nrel
- NOTE: If you install using conda and you want to use:
- HSDS you will alsoneed to install h5pyd manually: pip install h5pyd
- NOTE: If you install using pip and want to runyou will need to install rtree manually: * conda install rtree * pip installation instructions
Option 2: Clone repo (recommended for developers)
- from home dir, git clone https://github.com/NREL/reVX.git
enter github username
enter github password
- Create reVX environment and install package
Create a conda env: conda create -n revx
Run the command: conda activate revx
cd into the repo cloned in 1.
- prior to running pip below, make sure the branch is correct (installfrom main!)
- Install reVX and its dependencies by running:pip install . (or pip install -e . if running a dev branchor working on the source code)
- Check that reVX was installed successfully
- From any directory, run the following commands. This should return thehelp pages for the CLI’s.
reVX
Recommended Citation
Update with current version and DOI:
Michael Rossol, Grant Buster, and Robert Spencer. The Renewable Energy Potential(V) eXchange Tool: reVX. https://github.com/NREL/reVX (version v0.3.20), 2021. https://doi.org/10.5281/zenodo.4507580.
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