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Quantifying and Monetizing Renewable Energy Resiliency

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.
- Originated 01/01/1970 by National Renewable Energy Laboratory.

3 Resources

 NameSizeTypeResource Description
 NYC_exp_S42xlsx.xlsx2842937dataInput data for site value (building, content, business interruption) that was used to populate the catastrophe model and set bounds on the insurance exposure
 BIaal.combined.guBase.xlsx396079dataOutputs from the catastrophe model using the baseline assumptions. The dataset reflects the annual average loss (AAL) for business loss in the study area.
 BIaal.combined.gu.withCC.xlsx237362dataOutputs from the catastrophe model using the sea level rise assumptions. The dataset reflects the annual average loss (AAL) for business loss in the study area.

Keywords

NREL energy data resiliency reopt New York LDRD 2017 USA catastrophe models solar energy wind energy insurance premiums hybrid systems

Submitted

•  MAR  • 13 2018

National Renewable Energy Laboratory

by , 303.384.7487, Center 7A40

Authors

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Cite this dataset:

Lisell, Lars et al. (2018): Quantifying and Monetizing Renewable Energy Resiliency . National Renewable Energy Laboratory. https://dx.doi.org/10.7799/1432836

About this dataset

id 80
DOI 10.7799/1432836
Pub Number 71143
status Publicly accessible
last updated soon

DOE Project

EE1801717 Value of Resiliency Seed Laboratory Directed Research and Development

Research Areas

  • Grid Modernization
  • Solar Power
  • Wind Energy

Additional Subjects

  • Energy Storage
  • Fossil-fueled Power Plants
  • Photovoltaics
  • Solar Energy

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