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
Outputs from the catastrophe model using the baseline assumptions. The dataset reflects the annual average loss (AAL) for business loss in the study area. Binary Outputs from the catastrophe model using the baseline assumptions. The dataset reflects the annual average loss (AAL) for business loss in the study area. Open resource
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. Binary 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. Open resource
Input data for site value (building, content, business interruption) that was used to populate the catastrophe model and set bounds on the insurance exposure Binary Input data for site value (building, content, business interruption) that was used to populate the catastrophe model and set bounds on the insurance exposure Open resource

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