Related Datasets

Quantifying and Monetizing Renewable Energy Resiliency

Publicly accessible License

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.

Input data for site value (building, content, business interruption) that was used to populate the catastrophe model and set bounds on the insurance exposure

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Outputs from the catastrophe model using the baseline assumptions. The dataset reflects the annual average loss (AAL) for business loss in the study area.

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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.

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Citation Formats

National Renewable Energy Laboratory. (2018). Quantifying and Monetizing Renewable Energy Resiliency [data set].  Retrieved from https://data.nrel.gov/submissions/80.

Export Citation to RIS

Lisell, , Anderson, , Laws, , Marr, , Lohman, , Li, , Jimenez, , Cutler, , and Case, . Quantifying and Monetizing Renewable Energy Resiliency. United States: N.p., 13 Mar, 2018. Web. https://data.nrel.gov/submissions/80.

Lisell, , Anderson, , Laws, , Marr, , Lohman, , Li, , Jimenez, , Cutler, , & Case, . Quantifying and Monetizing Renewable Energy Resiliency. United States. https://data.nrel.gov/submissions/80

Lisell, , Anderson, , Laws, , Marr, , Lohman, , Li, , Jimenez, , Cutler, , and Case, . 2018. "Quantifying and Monetizing Renewable Energy Resiliency". United States.  https://data.nrel.gov/submissions/80.

@div{oedi_8173, title = {Quantifying and Monetizing Renewable Energy Resiliency}, author = {Lisell, , Anderson, , Laws, , Marr, , Lohman, , Li, , Jimenez, , Cutler, , and Case, .}, 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 = {}, url = {https://data.nrel.gov/submissions/80}, journal = {}, number = , volume = , place = {United States}, year = {2018}, month = {03}}

Details

Data from Mar 13, 2018

Last updated Dec 18, 2024

Submitted Mar 13, 2018