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Title: RE Data Explorer: Informing Variable Renewable Energy Grid Integration for Low Emission Development

Abstract

The RE Data Explorer, developed by the National Renewable Energy Laboratory, is an innovative web-based analysis tool that utilizes geospatial and spatiotemporal renewable energy data to visualize, execute, and support analysis of renewable energy potential under various user-defined scenarios. This analysis can inform high-level prospecting, integrated planning, and policy making to enable low emission development.

Authors:
 [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.:
U.S. Agency for International Development (USAID)
OSTI Identifier:
1408808
Report Number(s):
NREL/FS-6A20-67280
DOE Contract Number:  
AC36-08GO28308
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; analysis tool; geospatial; spatiotemporal; renewable energy; high-level prospecting; integrated planning; policy making; low emission development

Citation Formats

Cox, Sarah L. RE Data Explorer: Informing Variable Renewable Energy Grid Integration for Low Emission Development. United States: N. p., 2017. Web.
Cox, Sarah L. RE Data Explorer: Informing Variable Renewable Energy Grid Integration for Low Emission Development. United States.
Cox, Sarah L. Wed . "RE Data Explorer: Informing Variable Renewable Energy Grid Integration for Low Emission Development". United States. https://www.osti.gov/servlets/purl/1408808.
@article{osti_1408808,
title = {RE Data Explorer: Informing Variable Renewable Energy Grid Integration for Low Emission Development},
author = {Cox, Sarah L},
abstractNote = {The RE Data Explorer, developed by the National Renewable Energy Laboratory, is an innovative web-based analysis tool that utilizes geospatial and spatiotemporal renewable energy data to visualize, execute, and support analysis of renewable energy potential under various user-defined scenarios. This analysis can inform high-level prospecting, integrated planning, and policy making to enable low emission development.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {11}
}