Quantifying and Monetizing Renewable Energy Resiliency

Description

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.

Resources

Name Format Description Link
5 Input data for site value (building, content, business interruption) that was used to populate the catastrophe model and set bounds on the insurance exposure https://data.nrel.gov/system/files/80/NYC_exp_S42xlsx.xlsx
5 Outputs from the catastrophe model using the baseline assumptions. The dataset reflects the annual average loss (AAL) for business loss in the study area. https://data.nrel.gov/system/files/80/BIaal.combined.guBase.xlsx
5 Outputs 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. https://data.nrel.gov/system/files/80/BIaal.combined.gu.withCC.xlsx

Tags

  • new-york
  • resiliency
  • insurance-premiums
  • reopt
  • solar-energy
  • ldrd
  • usa
  • catastrophe-models
  • wind-energy
  • 2017
  • hybrid-systems

Topics

Categories