reV/CITATION.cff at main · NatLabRockies/reV · GitHub

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cff-version: 1.2.0
title: reV
message: >-
  If you use this software, please cite both the technical paper
  (citation in README) and the software itself (citation below)
type: software
authors:
  - family-names: Buster
    given-names: Grant
    affiliation: National Laboratory of the Rockies
    orcid: 'https://orcid.org/0000-0001-8616-8100'
  - family-names: Pinchuk
    given-names: Pavlo
    affiliation: National Laboratory of the Rockies
    orcid: 'https://orcid.org/0000-0003-4736-4728'
  - family-names: Rossol
    given-names: Michael
    affiliation: National Laboratory of the Rockies
    orcid: 'https://orcid.org/0000-0001-9351-8404'
  - family-names: Benton
    given-names: Brandon
    affiliation: National Laboratory of the Rockies
    orcid: "https://orcid.org/0009-0008-9931-2050"
  - family-names: Gleason
    given-names: Michael
    affiliation: National Laboratory of the Rockies
    orcid: "https://orcid.org/0009-0003-5916-6726"
  - family-names: Stanley
    given-names: Andrew P.J.
    affiliation: National Laboratory of the Rockies
    orcid: "https://orcid.org/0000-0002-0677-3413"
  - family-names: Spencer
    given-names: Robert
    affiliation: National Laboratory of the Rockies
  - family-names: Bannister
    given-names: Michael
    affiliation: National Laboratory of the Rockies
  - family-names: Williams
    given-names: Travis
    affiliation: National Laboratory of the Rockies
    orcid: 'https://orcid.org/0000-0003-0973-1865'
identifiers:
  - type: doi
    value: 10.5281/zenodo.4501716
repository-code: 'https://github.com/NatLabRockies/reV'
abstract: >-
  reV is an open-source geospatial techno-economic tool that
  estimates energy technical potential (capacity and generation),
  system cost, and supply curves for a variety of technologies,
  including but not limited to, geothermal (GT), pumped storage
  hydropower (PSH), solar photovoltaics (PV), concentrating solar power (CSP),
  wind energy, etc. reV allows researchers to include exhaustive
  spatial representation of the built and natural environment into
  the generation and cost estimates that it computes. reV is highly
  dynamic, allowing analysts to assess potential at varying levels
  of detail — from a single  site up to an entire continent at
  temporal resolutions ranging from five minutes to hourly, spanning
  a single year or multiple decades. The reV model can provide broad
  coverage across large spatial extents, including North America,
  South and Central Asia, the Middle East, South America, and
  South Africa to inform national and international-scale analyses.
  Still, reV is equally well-suited for regional infrastructure and
  deployment planning and analysis.
keywords:
  - Energy Analysis
  - Energy Potential
  - Supply Curve
  - LCOE
  - Siting
  - Geothermal
  - Pumped Storage Hydropower
  - Solar
  - Concentrating Solar Power
  - Wind
license: BSD-3-Clause
version: 0.14.5
date-released: '2020-03-02'