NREL-reV 0.4.48

National Renewable Energy Laboratory's (NREL's) Renewable Energy Potential(V) Model: reV

Recommended Citation

Please cite both the technical paper and the software with the version and DOI you used:

Maclaurin, Galen J., Nicholas W. Grue, Anthony J. Lopez, and Donna M. Heimiller. 2019. “The Renewable Energy Potential (reV) Model: A Geospatial Platform for Technical Potential and Supply Curve Modeling.” Golden, Colorado, United States: National Renewable Energy Laboratory. NREL/TP-6A20-73067. https://doi.org/10.2172/1563140.

Michael Rossol, Grant Buster, and Mike Bannister. The Renewable Energy Potential Model (reV). https://github.com/NREL/reV (version v0.4.46), 2021. https://doi.org/10.5281/zenodo.4501717.

reV command line tools

• reV

• reV-project-points

• reV-gen

• reV-econ

• reV-offshore

• reV-collect

• reV-multiyear

• reV-supply-curve-aggregation

• reV-supply-curve

• reV-rep-profiles

• reV-pipeline

• reV-batch

• reV-QA-QC

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

• Full pipeline execution

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

Eagle node requests

Installing reV

Option 1: Install from PIP or Conda (recommended for analysts):

1. Create a new environment:

   conda create --name rev python=3.7

2. Activate directory:

   conda activate rev

3. Install reV:

   1. pip install NREL-reV or

   2. 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)

1. from home dir, git clone https://github.com/NREL/reV.git

   1. enter github username

   2. enter github password

2. Create reV environment and install package

   1. Create a conda env: conda create -n rev

   2. Run the command: conda activate rev

   3. cd into the repo cloned in 1.

   4. prior to running pip below, make sure the branch is correct (install from master!)

   5. Install reV and its dependencies by running: pip install . (or pip install -e . if running a dev branch or working on the source code)

3. Check that reV was installed successfully

   1. From any directory, run the following commands. This should return the help pages for the CLI’s.

      • reV