NREL-reV 0.4.9

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

The Renewable Energy Potential (reV) Model

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 / Module

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

or module:

module use /shared-projects/rev/modulefiles
module load reV

NOTE: Loading the reV module can take several minutes

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. Install reV environment and modules (using conda)

   1. cd into reV repo cloned above

   2. cd into bin/$OS/

   3. run the command: conda env create -f rev.yml. If conda can’t find any packages, try removing them from the yml file.

   4. run the command: conda activate rev

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

   6. cd back to the reV repo (where setup.py is located)

   7. install pre-commit: pre-commit install

   8. run 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