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Systems","sub_category":"Renewable Energy Integration","monthly_downloads":22,"total_dependent_repos":0,"total_dependent_packages":0,"readme":".. raw:: html\n\n    \u003cp align=\"center\"\u003e\n        \u003cimg height=\"180\" src=\"docs/source/_static/logo.png\" /\u003e\n        \u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\n        \u003cimg height=\"170\" src=\"docs/source/_static/RD100_2023_Winner_Logo.png\" /\u003e\n    \u003c/p\u003e\n\n---------\n\n.. image:: https://github.com/NREL/reV/workflows/Documentation/badge.svg\n    :target: https://nrel.github.io/reV/\n\n.. image:: https://github.com/NREL/reV/workflows/Pytests/badge.svg\n    :target: https://github.com/NREL/reV/actions?query=workflow%3A%22Pytests%22\n\n.. image:: https://github.com/NREL/reV/workflows/Lint%20Code%20Base/badge.svg\n    :target: https://github.com/NREL/reV/actions?query=workflow%3A%22Lint+Code+Base%22\n\n.. image:: https://img.shields.io/pypi/pyversions/NREL-reV.svg\n    :target: https://pypi.org/project/NREL-reV/\n\n.. image:: https://badge.fury.io/py/NREL-reV.svg\n    :target: https://badge.fury.io/py/NREL-reV\n\n.. image:: https://codecov.io/gh/nrel/reV/branch/main/graph/badge.svg?token=U4ZU9F0K0Z\n    :target: https://codecov.io/gh/nrel/reV\n\n.. image:: https://zenodo.org/badge/201343076.svg\n   :target: https://zenodo.org/badge/latestdoi/201343076\n\n.. image:: https://mybinder.org/badge_logo.svg\n    :target: https://mybinder.org/v2/gh/nrel/reV/HEAD\n\n|\n\n.. inclusion-intro\n\n**reV** (the Renewable Energy Potential model)\nis an open-source geospatial techno-economic tool that\nestimates renewable energy technical potential (capacity and generation),\nsystem cost, and supply curves for solar photovoltaics (PV),\nconcentrating solar power (CSP), geothermal, and wind energy.\nreV allows researchers to include exhaustive spatial representation\nof the built and natural environment into the generation and cost estimates\nthat it computes.\n\nreV is highly dynamic, allowing analysts to assess potential at varying levels\nof detail — from a single site up to an entire continent at temporal resolutions\nranging from five minutes to hourly, spanning a single year or multiple decades.\nThe reV model can (and has been used to) provide broad coverage across large spatial\nextents, including North America, South and Central Asia, the Middle East, South America,\nand South Africa to inform national and international-scale analyses. Still, reV is\nequally well-suited for regional infrastructure and deployment planning and analysis.\n\n\nFor a detailed description of reV capabilities and functionality, see the\n`NREL reV technical report \u003chttps://www.nrel.gov/docs/fy19osti/73067.pdf\u003e`_.\n\nHow does reV work?\n==================\nreV is a set of `Python classes and functions \u003chttps://nrel.github.io/reV/_autosummary/reV.html\u003e`_\nthat can be executed on HPC systems using `CLI commands \u003chttps://nrel.github.io/reV/_cli/cli.html\u003e`_.\nA full reV execution consists of one or more compute modules\n(each consisting of their own Python class/CLI command)\nstrung together using a `pipeline framework \u003chttps://nrel.github.io/reV/_cli/reV%20pipeline.html\u003e`_,\nor configured using `batch \u003chttps://nrel.github.io/reV/_cli/reV%20batch.html\u003e`_.\n\nA typical reV workflow begins with input wind/solar/geothermal resource data\n(following the `rex data format \u003chttps://nrel.github.io/rex/misc/examples.nsrdb.html#data-format\u003e`_)\nthat is passed through the generation module. This output is then collected across space and time\n(if executed on the HPC), before being sent off to be aggregated under user-specified land exclusion scenarios.\nExclusion data is typically provided via a collection of high-resolution spatial data layers stored in an HDF5 file.\nThis file must be readable by reV's\n`ExclusionLayers \u003chttps://nrel.github.io/reV/_autosummary/reV.handlers.exclusions.ExclusionLayers.html#reV.handlers.exclusions.ExclusionLayers\u003e`_\nclass. See the `reVX Setbacks utility \u003chttps://nrel.github.io/reVX/misc/examples.setbacks.html\u003e`_\nfor instructions on generating setback exclusions for use in reV.\nNext, transmission costs are computed for each aggregated\n\"supply-curve point\" using user-provided transmission cost tables.\nSee the `reVX transmission cost calculator utility \u003chttps://github.com/NREL/reVX/tree/main/reVX/least_cost_xmission/\u003e`_\nfor instructions on generating transmission cost tables.\nFinally, the supply curves and initial generation data can be used to\nextract representative generation profiles for each supply curve point.\n\nA visual summary of this process is given below:\n\n\n.. inclusion-flowchart\n\n.. raw:: html\n\n    \u003cp align=\"center\"\u003e\n        \u003cimg height=\"400\" src=\"docs/source/_static/rev_flow_chart.png\" /\u003e\n    \u003c/p\u003e\n\n|\n\n.. inclusion-get-started\n\nTo get up and running with reV, first head over to the `installation page \u003chttps://nrel.github.io/reV/misc/installation.html\u003e`_,\nthen check out some of the `Examples \u003chttps://nrel.github.io/reV/misc/examples.html\u003e`_ or\ngo straight to the `CLI Documentation \u003chttps://nrel.github.io/reV/_cli/cli.html\u003e`_!\nYou can also check out the `guide on running GAPs models \u003chttps://nrel.github.io/gaps/misc/examples.users.html\u003e`_.\n\n.. inclusion-install\n\n\nInstalling reV\n==============\n\nNOTE: The installation instruction below assume that you have python installed\non your machine and are using `conda \u003chttps://docs.conda.io/en/latest/index.html\u003e`_\nas your package/environment manager.\n\nOption 1: Install from PIP (recommended for analysts):\n---------------------------------------------------------------\n\n1. Create a new environment:\n    ``conda create --name rev python=3.9``\n\n2. Activate directory:\n    ``conda activate rev``\n\n3. Install reV:\n    1) ``pip install NREL-reV`` or\n\n       - NOTE: If you install using conda and want to use `HSDS \u003chttps://github.com/NREL/hsds-examples\u003e`_\n         you will also need to install h5pyd manually: ``pip install h5pyd``\n\nOption 2: Clone repo (recommended for developers)\n-------------------------------------------------\n\n1. from home dir, ``git clone git@github.com:NREL/reV.git``\n\n2. Create ``reV`` environment and install package\n    1) Create a conda env: ``conda create -n rev``\n    2) Run the command: ``conda activate rev``\n    3) cd into the repo cloned in 1.\n    4) prior to running ``pip`` below, make sure the branch is correct (install\n       from main!)\n    5) Install ``reV`` and its dependencies by running:\n       ``pip install .`` (or ``pip install -e .`` if running a dev branch\n       or working on the source code)\n\n3. Check that ``reV`` was installed successfully\n    1) From any directory, run the following commands. This should return the\n       help pages for the CLI's.\n\n        - ``reV``\n\n\nreV command line tools\n======================\n\n- `reV \u003chttps://nrel.github.io/reV/_cli/reV.html#reV\u003e`_\n- `reV template-configs \u003chttps://nrel.github.io/reV/_cli/reV%20template-configs.html\u003e`_\n- `reV batch \u003chttps://nrel.github.io/reV/_cli/reV%20batch.html\u003e`_\n- `reV pipeline \u003chttps://nrel.github.io/reV/_cli/reV%20pipeline.html\u003e`_\n- `reV project-points \u003chttps://nrel.github.io/reV/_cli/reV%20project-points.html\u003e`_\n- `reV bespoke \u003chttps://nrel.github.io/reV/_cli/reV%20bespoke.html\u003e`_\n- `reV generation \u003chttps://nrel.github.io/reV/_cli/reV%20generation.html\u003e`_\n- `reV econ \u003chttps://nrel.github.io/reV/_cli/reV%20econ.html\u003e`_\n- `reV collect \u003chttps://nrel.github.io/reV/_cli/reV%20collect.html\u003e`_\n- `reV multiyear \u003chttps://nrel.github.io/reV/_cli/reV%20multiyear.html\u003e`_\n- `reV supply-curve-aggregation \u003chttps://nrel.github.io/reV/_cli/reV%20supply-curve-aggregation.html\u003e`_\n- `reV supply-curve \u003chttps://nrel.github.io/reV/_cli/reV%20supply-curve.html\u003e`_\n- `reV rep-profiles \u003chttps://nrel.github.io/reV/_cli/reV%20rep-profiles.html\u003e`_\n- `reV hybrids \u003chttps://nrel.github.io/reV/_cli/reV%20hybrids.html\u003e`_\n- `reV nrwal \u003chttps://nrel.github.io/reV/_cli/reV%20nrwal.html\u003e`_\n- `reV qa-qc \u003chttps://nrel.github.io/reV/_cli/reV%20qa-qc.html\u003e`_\n- `reV script \u003chttps://nrel.github.io/reV/_cli/reV%20script.html\u003e`_\n- `reV status \u003chttps://nrel.github.io/reV/_cli/reV%20status.html\u003e`_\n- `reV reset-status \u003chttps://nrel.github.io/reV/_cli/reV%20reset-status.html\u003e`_\n\n\nLaunching a run\n---------------\n\nTips\n\n- Only use a screen session if running the pipeline module: `screen -S rev`\n- `Full pipeline execution \u003chttps://nrel.github.io/reV/misc/examples.full_pipeline_execution.html\u003e`_\n\n.. code-block:: bash\n\n    reV pipeline -c \"/scratch/user/rev/config_pipeline.json\"\n\n- Running simply generation or econ can just be done from the console:\n\n.. code-block:: bash\n\n    reV generation -c \"/scratch/user/rev/config_gen.json\"\n\nGeneral Run times and Node configuration on Eagle\n-------------------------------------------------\n\n- WTK Conus: 10-20 nodes per year walltime 1-4 hours\n- NSRDB Conus: 5 nodes walltime 2 hours\n\n`Eagle node requests \u003chttps://nrel.github.io/reV/misc/examples.eagle_node_requests.html\u003e`_\n\n\n.. inclusion-citation\n\n\nRecommended Citation\n====================\n\nPlease cite both the technical paper and the software with the version and\nDOI you used:\n\nMaclaurin, Galen J., Nicholas W. Grue, Anthony J. Lopez, Donna M. Heimiller,\nMichael Rossol, Grant Buster, and Travis Williams. 2019. “The Renewable Energy\nPotential (reV) Model: A Geospatial Platform for Technical Potential and Supply\nCurve Modeling.” Golden, Colorado, United States: National Renewable Energy\nLaboratory. NREL/TP-6A20-73067. https://doi.org/10.2172/1563140.\n\nGrant Buster, Michael Rossol, Paul Pinchuk, Brandon N Benton, Robert Spencer,\nMike Bannister, \u0026 Travis Williams. (2023).\nNREL/reV: reV 0.8.0 (v0.8.0). 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