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Title: Renewable Energy Deployment in Colorado and the West: Extended Policy Sensitivities

Abstract

The Resource Planning Model is a capacity expansion model designed for a regional power system, such as a utility service territory, state, or balancing authority. We apply a geospatial analysis to Resource Planning Model renewable energy capacity expansion results to understand the likelihood of renewable development on various lands within Colorado.

Authors:
 [1];  [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1399856
Report Number(s):
NREL/TP-6A20-68662
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; regional power system; geospacial analysis; resource planning model; capacity expansion

Citation Formats

Barrows, Clayton P., Stoll, Brady, and Mooney, Meghan E. Renewable Energy Deployment in Colorado and the West: Extended Policy Sensitivities. United States: N. p., 2017. Web. doi:10.2172/1399856.
Barrows, Clayton P., Stoll, Brady, & Mooney, Meghan E. Renewable Energy Deployment in Colorado and the West: Extended Policy Sensitivities. United States. doi:10.2172/1399856.
Barrows, Clayton P., Stoll, Brady, and Mooney, Meghan E. Wed . "Renewable Energy Deployment in Colorado and the West: Extended Policy Sensitivities". United States. doi:10.2172/1399856. https://www.osti.gov/servlets/purl/1399856.
@article{osti_1399856,
title = {Renewable Energy Deployment in Colorado and the West: Extended Policy Sensitivities},
author = {Barrows, Clayton P. and Stoll, Brady and Mooney, Meghan E.},
abstractNote = {The Resource Planning Model is a capacity expansion model designed for a regional power system, such as a utility service territory, state, or balancing authority. We apply a geospatial analysis to Resource Planning Model renewable energy capacity expansion results to understand the likelihood of renewable development on various lands within Colorado.},
doi = {10.2172/1399856},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 11 00:00:00 EDT 2017},
month = {Wed Oct 11 00:00:00 EDT 2017}
}

Technical Report:

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