Award Abstract # 2118586
Research Initiation Award: Uncertainty Modeling, Probabilistic Models, and Life-cycle Reliability of Floating Offshore Wind Turbines

NSF Org: EES
Div. of Equity for Excellence in STEM
Recipient: NEW MEXICO STATE UNIVERSITY
Initial Amendment Date: February 19, 2021
Latest Amendment Date: March 23, 2023
Award Number: 2118586
Award Instrument: Standard Grant
Program Manager: Leroy Jones II
ljones@nsf.gov
 (703)292-4684
EES
 Div. of Equity for Excellence in STEM
EDU
 Directorate for STEM Education
Start Date: February 1, 2021
End Date: July 31, 2023 (Estimated)
Total Intended Award Amount: $299,995.00
Total Awarded Amount to Date: $121,331.00
Funds Obligated to Date: FY 2017 = $121,331.00
History of Investigator:
  • Doeun Choe (Principal Investigator)
    dchoe@nmsu.edu
Recipient Sponsored Research Office: New Mexico State University
1050 STEWART ST.
LAS CRUCES
NM  US  88003
(575)646-1590
Sponsor Congressional District: 02
Primary Place of Performance: New Mexico State University
1780 E University Ave
Las Cruces
NM  US  88003-8002
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): J3M5GZAT8N85
Parent UEI:
NSF Program(s): Hist Black Colleges and Univ
Primary Program Source: 04001718DB NSF Education & Human Resource
Program Reference Code(s): 9178, 9264
Program Element Code(s): 159400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

Research Initiation Awards provide support for faculty at Historically Black Colleges and Universities who are building a research program. It is expected that the award helps to further the faculty member's research capability and effectiveness, improves research and teaching at her home institution, and involves undergraduate students in research experiences. The award to Prairie View A&M University has potential broader and societal impact in a number of areas. Floating offshore wind turbines (FOWTs) have been considered as one of the most promising alternatives to access energy resources with vast available space and fewer restrictions and regulations. The project seeks to analyze floating offshore wind turbine uncertainties that arise due to the ocean environment and hydrodynamic calculations, as well as due to uncertainties in the structural and mechanical systems, which threaten the reliability and the feasibility of FOWTs. Undergraduate students, high school students and students from community colleges will gain research experiences through this project.

The current floating offshore wind turbine technologies have challenges to be resolved in order to produce sustainable and cost-effective power. Semi-submersible type FOWTs are known to be one of the most promising options with construction and maintenance cost problems yet to be solved. This project focuses on identification of the uncertainties and on estimating the structural safety factors. The research objectives of this project are to: understand the uncertainties that exist in FOWTs; predict the structural behavior and life-cycle structural reliability of FOWTs; and obtain safety factors for structural design of semi-submersible-type FOWTs that uniquely consider the uncertainties and coupled dynamics of aerodynamics of the wind turbine and hydrodynamics of the floating body under extreme environmental loads. By considering the uncertainties found, the probabilistic capacity and demand models for structural components of FOWTs will be developed using a Bayesian Method. Lastly, the developed models will be used to estimate the life-cycle structural reliability and to obtain the safety factors for the base tower moment and shear forces of FOWTs. The results of this research may eventually reduce the current challenge of the high cost of FOWTs.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Choe, Do-Eun and Talor, Gary and Kim, Changkyu "Prediction of Wind Speed, Potential Wind Power, and the Associated Uncertainties for Offshore Wind Farm Using Deep Learning." roceedings of the ASME 2020 Power Conference collocated with the 2020 International Conference on Nuclear Engineering. ASME 2020 Power Conference , 2022 Citation Details
Ramezani, Mahyar and Choe, Do-Eun and Heydarpour, Khashayar and Koo, Bonjun "Uncertainty models for the structural design of floating offshore wind turbines: A review" Renewable and Sustainable Energy Reviews , v.185 , 2023 https://doi.org/10.1016/j.rser.2023.113610 Citation Details
Choe, Do-Eun and Kim, Hyoung-Chul and Kim, Moo-Hyun "Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades" Renewable Energy , v.174 , 2021 https://doi.org/10.1016/j.renene.2021.04.025 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The principal investigator (PI) successfully accomplished the primary research objectives by undertaking the proposed tasks, which included (R1) comprehending the uncertainties associated with the Floating Offshore Wind Turbine (FOWT) system, (R2) establishing a framework to predict the structural reliability of FOWT components involving probabilistic capacity and demand models, and (R3) estimating structural reliability using the developed model while evaluating safety factors for the base tower's moment and shear failure modes. The PI also achieved the proposed educational objectives for under-represented minority engineering students and outreach goals targeting industry, academic institutions, and the local community. The project spanned a two-year Wind Energy Seminar series,  engaged undergraduate students from the under-represented group, and introduced a new course. The outreach goals, encompassing industry, other institutions, and the local community, were successfully attained.

Note that the project experienced an unplanned transition, moving from Prairie View A&M University (PVAMU), a non-PhD-offering institution, to New Mexico State University (NMSU), a PhD-offering institution, within two-thirds of the project period. This unplanned transition unexpectedly presented opportunities to significantly contribute to both minority/undergraduate education and produce high-quality research outcomes.

The project research resulted in four(4) high-quality journal papers and one (1) juried conference paper. The proposed research objectives are directly addressed through two high-quality journal papers produced at NMSU, one published in 2023 (R1) titled, Uncertainty models for the structural design of floating offshore wind turbines: A review, at  Renewable and Sustainable Energy Reviews (impact factor: 16.8 as of 2021) and one submitted in 2023 (R2 & R3) titled, Framework of Fragility Estimation for Performance-based Structural Design of Floating Offshore Wind Turbine Components, where the probabilistic capacity and demand models are presented with selected uncertainty models, structural reliabilities at the selected U.S. FOWT sites for tower base moment and shear failure modes.  Additionally, initial efforts to comprehend the structural properties of FOWT resulted in two highly-cited journal papers published in 2019 and 2021. A conference paper produced in 2020 emerged from undergraduate wind energy research funded by this project.  The project also largely impacted to the PI's future research capabilities. This wind energy research endeavor led the PI to co-lead an NSF CREST (NSF#1914692)) in 2019 at PVAMU. Furthermore, the software and computational frameworks established by this project at NMSU hold significant potential for future initiatives contributing to the structural safety of offshore wind energy facilities.

The project impacted to engineering education of underrepresented group by providing support to a total of six(6) minority undergraduate students, including one with a disability, four African-American students, and one female student. Additionally, it included two(2) minority graduate students, comprising one African-American and one Hispanic student. The project's outreach efforts resulted in a collaborative partnership with the mid-sized company Technip Energies, based in Houston, TX, within the industrial wind energy sector. Furthermore, the project outreach activities established a collaboration with the Ocean Engineering department at Texas A&M University for research related to FOWT. The project further engaged with the local community through K-12 outreach, which encompassed a summer bridge program at PVAMU in 2018 and 2019, as well as a summer STEM day for the local Boy Scouts of America (BSA), Pack 1149, in 2019. The Wind Energy Seminar series, which lasted between 2018 and 2020, served as a platform to introduce under-represented engineering students to the wind energy initiatives undertaken by both industrial and academic collaborators.

 


Last Modified: 11/20/2023
Modified by: Doeun Choe

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