National Renewable Energy Laboratory's (NREL's) Renewable Energy Potential(V) Model: reV
Project description
The Renewable Energy Potential (reV) Model
reV command line tools
Using Eagle Env
If you would like to run reV 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/
Launching a run
Tips
Only use a screen session if running the pipeline module: screen -S rev
reV -c "/scratch/user/rev/config_pipeline.json" pipeline
Running simply generation or econ can just be done from the console:
reV -c "/scratch/user/rev/config_pipeline.json" generation
General Run times and Node configuration on Eagle
WTK Conus: 10-20 nodes per year walltime 1-4 hours
NSRDB Conus: 5 nodes walltime 2 hours
Installing reV
Option 1: Install from PIP or Conda (recommended for analysts):
- Create a new environment:
conda create --name rev python=3.7
- Activate directory:
conda activate rev
- Install reV:
pip install NREL-reV or
conda install nrel-rev --channel=nrel
NOTE: If you install using conda and want to use HSDS you will also need to install h5pyd manually: pip install h5pyd
Option 2: Clone repo (recommended for developers)
- from home dir, git clone https://github.com/NREL/reV.git
enter github username
enter github password
- Create reV environment and install package
Create a conda env: conda create -n rev
Run the command: conda activate rev
cd into the repo cloned in 1.
prior to running pip below, make sure the branch is correct (install from master!)
Install reV and its dependencies by running: pip install . (or pip install -e . if running a dev branch or working on the source code)
- Check that reV was installed successfully
From any directory, run the following commands. This should return the help pages for the CLI’s.
reV
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