NA24OARX021G0024
Project Grant
Overview
Grant Description
Purpose: Technical abstract
Gulf Wind Technology proposes to develop a hurricane wind turbine risk analysis method intended for use by the energy insurance industry.
This work will combine inputs from the Risk Assessment Framework for Tropical Cyclones model into aeroelastic simulations of representative design load cases, into a confidence-weighted ensemble averaging approach to assess turbine damage.
The body of work seeks to overcome industry-wide challenges related to numerical and other instabilities in the simulation of these load cases through novel aerodynamic approaches and ensemble averaging methods common today in meteorology.
If awarded, Phase II would yield further refinement of the proof-of-concept Phase I model based on state-of-the-art understanding of the hurricane boundary layer and simulation tools, a broader library of wind turbines, as well as wind tunnel modeling for improved inputs.
Summary of anticipated results and implications, and potential commercial application
The results of the proposed work will provide the energy insurance industry, particularly for offshore wind projects, with a data-based method for assessing asset risk, consistent with Goal 5 of NOAA's Blue Economy Strategic Plan.
Today, insurers rely on data from European wind farms, onshore wind farms, standard industrial curves, and building codes to determine the risk profile for a proposed project and set premiums.
This data is not representative either due to the differing climate risk profiles of European offshore projects or U.S. onshore projects, or fundamental differences in risk between a building and a wind turbine, but they nonetheless are the best available data sources.
Gulf Wind Technology's proposed method would provide location-specific damage profiles based on the probability of different intensity storms impacting the site.
Gulf Wind Technology proposes to develop a hurricane wind turbine risk analysis method intended for use by the energy insurance industry.
This work will combine inputs from the Risk Assessment Framework for Tropical Cyclones model into aeroelastic simulations of representative design load cases, into a confidence-weighted ensemble averaging approach to assess turbine damage.
The body of work seeks to overcome industry-wide challenges related to numerical and other instabilities in the simulation of these load cases through novel aerodynamic approaches and ensemble averaging methods common today in meteorology.
If awarded, Phase II would yield further refinement of the proof-of-concept Phase I model based on state-of-the-art understanding of the hurricane boundary layer and simulation tools, a broader library of wind turbines, as well as wind tunnel modeling for improved inputs.
Summary of anticipated results and implications, and potential commercial application
The results of the proposed work will provide the energy insurance industry, particularly for offshore wind projects, with a data-based method for assessing asset risk, consistent with Goal 5 of NOAA's Blue Economy Strategic Plan.
Today, insurers rely on data from European wind farms, onshore wind farms, standard industrial curves, and building codes to determine the risk profile for a proposed project and set premiums.
This data is not representative either due to the differing climate risk profiles of European offshore projects or U.S. onshore projects, or fundamental differences in risk between a building and a wind turbine, but they nonetheless are the best available data sources.
Gulf Wind Technology's proposed method would provide location-specific damage profiles based on the probability of different intensity storms impacting the site.
Awardee
Funding Goals
18 CLIMATE ADAPTATION AND MITIGATION 19 WEATHER-READY NATION 20 HEALTHY OCEANS 21 RESILIENT COASTAL COMMUNITIES AND ECONOMIES
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Westwego,
Louisiana
700942706
United States
Geographic Scope
Single Zip Code
Related Opportunity
Gulf Wind Technology was awarded
Project Grant NA24OARX021G0024
worth $174,890
from National Oceanic and Atmospheric Administration in August 2024 with work to be completed primarily in Westwego Louisiana United States.
The grant
has a duration of 5 months and
was awarded through assistance program 11.021 NOAA Small Business Innovation Research (SBIR) Program.
The Project Grant was awarded through grant opportunity NOAA SBIR FY 2024 Phase I.
SBIR Details
Research Type
SBIR Phase I
Title
Quantification of the Risk of Extreme Weather for Wind Energy Systems for Insurance Markets
Abstract
Gulf Wind Technology proposes to develop a Hurricane Wind Turbine Risk Analysis method intended for use by the energy insurance industry. This work will combine inputs from the Risk Assessment Framework for Tropical Cyclones model into aeroelastic simulations of representative design load cases, into a confidence-weighted ensemble averaging approach to assess turbine damage. The body of work seeks to overcome industry-wide challenges related to numerical and other instabilities in the simulation of these load cases through novel aerodynamic approaches and ensemble averaging methods common today in meteorology. If awarded, Phase II would yield further refinement of the proof-of-concept Phase I model based on state-of-the-art understanding of the hurricane boundary layer and simulation tools, a broader library of wind turbines, as well as wind tunnel modeling for improved inputs.
Topic Code
9.1
Solicitation Number
NOAA-OAR-TPO-2024-2008184
Status
(Complete)
Last Modified 11/19/24
Period of Performance
8/1/24
Start Date
1/31/25
End Date
Funding Split
$174.9K
Federal Obligation
$0.0
Non-Federal Obligation
$174.9K
Total Obligated
Activity Timeline
Transaction History
Modifications to NA24OARX021G0024
Additional Detail
Award ID FAIN
NA24OARX021G0024
SAI Number
NA24OARX021G0024-001
Award ID URI
None
Awardee Classifications
Small Business
Awarding Office
1305N2 DEPT OF COMMERCE NOAA
Funding Office
1333BR OFC OF PROG.PLANNING&INTEGRATION
Awardee UEI
RRFDDJ9JQ493
Awardee CAGE
9CKM8
Performance District
LA-02
Senators
Bill Cassidy
John Kennedy
John Kennedy
Modified: 11/19/24