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:
- 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)
- Contributing Org.:
- National Renewable Energy Laboratory
- OSTI Identifier:
- 1432836
- Report Number(s):
- 80
- DOE Contract Number:
- EE1801717
- Resource Type:
- Data
- Country of Publication:
- United States
- Availability:
- damon.haley@nrel.gov
- Language:
- English
- Subject:
- 14 SOLAR ENERGY; 17 WIND ENERGY; 20 FOSSIL-FUELED POWER PLANTS; 25 ENERGY STORAGE; NREL; energy; data; resiliency; reopt; New York; LDRD; 2017; USA; catastrophe models; solar energy; wind energy; insurance premiums; hybrid systems
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. https://doi.org/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. https://doi.org/10.7799/1432836. https://www.osti.gov/servlets/purl/1432836.
@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},
url = {https://www.osti.gov/biblio/1432836},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 1970},
month = {Thu Jan 01 00:00:00 EST 1970}
}
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