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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.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Lars Lisell",
"@type": "vcard:Contact",
"hasEmail": "mailto:Lars.Lisell@nrel.gov"
}
|
| dataQuality |
true
|
| 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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "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.",
"accessURL": "https://data.nrel.gov/system/files/80/BIaal.combined.gu.withCC.xlsx",
"mediaType": "application/octet-stream",
"description": "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."
},
{
"@type": "dcat:Distribution",
"title": "Outputs from the catastrophe model using the baseline assumptions. The dataset reflects the annual average loss (AAL) for business loss in the study area.",
"accessURL": "https://data.nrel.gov/system/files/80/BIaal.combined.guBase.xlsx",
"mediaType": "application/octet-stream",
"description": "Outputs from the catastrophe model using the baseline assumptions. The dataset reflects the annual average loss (AAL) for business loss in the study area."
},
{
"@type": "dcat:Distribution",
"title": "Input data for site value (building, content, business interruption) that was used to populate the catastrophe model and set bounds on the insurance exposure",
"accessURL": "https://data.nrel.gov/system/files/80/NYC_exp_S42xlsx.xlsx",
"mediaType": "application/octet-stream",
"description": "Input data for site value (building, content, business interruption) that was used to populate the catastrophe model and set bounds on the insurance exposure"
}
]
|
| identifier | https://data.openei.org/submissions/8173 |
| issued | 2018-03-13T22:14:10Z |
| keyword |
[
"2017",
"LDRD",
"New York",
"REopt",
"USA",
"catastrophe models",
"hybrid systems",
"insurance premiums",
"resiliency",
"solar energy",
"wind energy"
]
|
| landingPage | https://data.nrel.gov/submissions/80 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2024-12-18T17:36:27Z |
| programCode |
[
"019:000",
"019:008",
"019:010"
]
|
| projectNumber | EE1801717 |
| projectTitle | Value of Resiliency Seed Laboratory Directed Research and Development |
| publisher |
{
"name": "National Renewable Energy Laboratory",
"@type": "org:Organization"
}
|
| title | Quantifying and Monetizing Renewable Energy Resiliency |
