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Title: Quantifying and Monetizing Renewable Energy Resiliency

Abstract

As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.

Authors:
; ; ; ; ; ; ; ;
Publication Date:
Other Number(s):
80
DOE Contract Number:  
EE1801717
Product Type:
Dataset
Research Org.:
National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Electricity (OE)
Subject:
14 SOLAR ENERGY; 17 WIND ENERGY; 20 FOSSIL-FUELED POWER PLANTS; 25 ENERGY STORAGE
Keywords:
NREL; energy; data; resiliency; reopt; New York; LDRD; 2017; USA; catastrophe models; solar energy; wind energy; insurance premiums; hybrid systems
OSTI Identifier:
1432836
DOI:
10.7799/1432836

Citation Formats

Lisell, Lars, Anderson, Kate, Laws, Nick, Marr, Spencer, Lohman, Dag, Li, Xiangkun, Jimenez, Tony, Cutler, Dylan, and Case, Tria. Quantifying and Monetizing Renewable Energy Resiliency. United States: N. p., 1970. Web. doi:10.7799/1432836.
Lisell, Lars, Anderson, Kate, Laws, Nick, Marr, Spencer, Lohman, Dag, Li, Xiangkun, Jimenez, Tony, Cutler, Dylan, & Case, Tria. Quantifying and Monetizing Renewable Energy Resiliency. United States. doi:10.7799/1432836.
Lisell, Lars, Anderson, Kate, Laws, Nick, Marr, Spencer, Lohman, Dag, Li, Xiangkun, Jimenez, Tony, Cutler, Dylan, and Case, Tria. 1970. "Quantifying and Monetizing Renewable Energy Resiliency". United States. doi:10.7799/1432836. https://www.osti.gov/servlets/purl/1432836. Pub date:Thu Jan 01 00:00:00 EST 1970
@article{osti_1432836,
title = {Quantifying and Monetizing Renewable Energy Resiliency},
author = {Lisell, Lars and Anderson, Kate and Laws, Nick and Marr, Spencer and Lohman, Dag and Li, Xiangkun and Jimenez, Tony and Cutler, Dylan and Case, Tria},
abstractNote = {As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.},
doi = {10.7799/1432836},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1970},
month = {1}
}

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