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

TY  - DATA
AB  - 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.  
AU  - Lisell
A2  - Anderson
A3  - Laws
A4  - Marr
A5  - Lohman
A6  - Li
A7  - Jimenez
A8  - Cutler
A9  - Case
DB  - Open Energy Data Initiative (OEDI)
DP  - Open EI | National Renewable Energy Laboratory
DO  - 
KW  - resiliency
KW  - REopt
KW  - New York
KW  - LDRD
KW  - 2017
KW  - USA
KW  - catastrophe models
KW  - solar energy
KW  - wind energy
KW  - insurance premiums
KW  - hybrid systems
LA  - English
DA  - 2018/03/13
PY  - 2018
PB  - National Renewable Energy Laboratory
T1  - Quantifying and Monetizing Renewable Energy Resiliency
UR  - https://data.openei.org/submissions/8173
ER  -

Export Citation to RIS

Lisell, et al. Quantifying and Monetizing Renewable Energy Resiliency. National Renewable Energy Laboratory, 13 March, 2018, NREL. https://data.nrel.gov/submissions/80.

Lisell, Anderson, Laws, Marr, Lohman, Li, Jimenez, Cutler, & Case. (2018). Quantifying and Monetizing Renewable Energy Resiliency. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/80

Lisell, Anderson, Laws, Marr, Lohman, Li, Jimenez, Cutler, and Case. Quantifying and Monetizing Renewable Energy Resiliency. National Renewable Energy Laboratory, March, 13, 2018.  Distributed by NREL. https://data.nrel.gov/submissions/80

@misc{OEDI_Dataset_8173,
title = {Quantifying and Monetizing Renewable Energy Resiliency},
author = {Lisell and Anderson and Laws and Marr and Lohman and Li and Jimenez and 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.  },
url = {https://data.nrel.gov/submissions/80},
year = {2018},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/80},
note = {Accessed: 2025-05-29}
}

Details

Data from Mar 13, 2018

Last updated Dec 18, 2024

Submitted Mar 13, 2018