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Publications by WindStar Researchers

Wind Energy Cover - November 2017

Wind Energy
Vol. 20, Issue 11
November 2017
Photo of the deployment of the University of Texas Dallas mobile LiDAR station on the cover.

Annual Reports

  1. WindSTAR 2020 Annual Report (pdf)
  2. WindSTAR 2019 Annual Report (pdf)
  3. WindSTAR 2018 Annual Report (pdf)
  4. WindSTAR 2017 Annual Report (pdf)

Journal Papers:

1. Letizia, S., Zhan, L. and Iungo, G.V., 2021. LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics–Part 2: Applications to lidar measurements of wind turbine wakes. Atmospheric Measurement Techniques, 14(3), pp.2095-2113.

2. Letizia, S., Zhan, L. and Iungo, G.V., 2021. LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics–Part 1: Theoretical framework. Atmospheric Measurement Techniques, 14(3), pp.2065-2093.

3.Cao, D., Malakooti, S., Kulkarni, V.N., Ren, Y., Liu, Y., Nie, X., Qian, D., Griffith, D.T. and Lu, H., 2021. The effect of resin uptake on the flexural properties of compression molded sandwich composites. Wind Energy.

4. Beale, C., Niezrecki, C., and Inalpolat, M., “An adaptive wavelet packet denoising algorithm for enhanced active acoustic damage detection from wind turbine blades,” Mechanical Systems and Signal Processing, Volume 142, August 2020; DOI: 10.1016/j.ymssp.2020.106754.

5. Solimine, J., Niezrecki, C., and Inalpolat, M., “An experimental investigation into passive acoustic damage detection for structural health monitoring of wind turbine blades,” Structural Health Monitoring, January 3, 2020; DOI: 10.1177/1475921719895588

6. Dongyang Cao, Sadeq Malakooti, Vijay N Kulkarni, Yao Ren, Hongbing Lu, “Nanoindentation measurement of core-skin interphase viscoelastic properties in a sandwich glass composite,” Mechanics of Time-Dependent Materials, 2020, DOI: 10.1007/s11043-020-09448-y.pdf

7. Zhan, Lu, Stefano Letizia, and Giacomo Valerio Iungo. “Optimal tuning of engineering wake models through LiDAR measurements.” Wind Energy Science 5.4 (2020): 1601-1622.

8. Zhan, Lu, Stefano Letizia, and Giacomo Valerio Iungo. “LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes.” Wind Energy 23.3 (2020): 501-527. DOI: 10.1002/we.2430

9. C. Santoni, E.J. Garcia-Cartagena, U. Ciri, L. Zhan, G.V. Iungo and S. Leonardi. One-way mesoscale-microscale coupling for simulating a wind farm in North Texas: Assessment against SCADA and LiDAR data; Wind Energy, 23 (3), 691-710, 2020.

10. Beale, C., Willis, D. J., Niezrecki, C., & Inalpolat, M. “Passive acoustic damage detection of structural cavities using flow-induced acoustic excitations.” Structural Health Monitoring. DOI: 10.1177/1475921719860389, 2019.

11. Beale, C., Inalpolat, M., & Niezrecki, C. Active acoustic damage detection of structural cavities using internal acoustic excitations. Structural Health Monitoring. DOI: 10.1177/1475921719835761, 2019.

12. Morris J., Hansen C. J., Amirkhizi, A. V. “Improved approximation of transverse and shear stiffness for high volume fraction uniaxial composites,” Mechanics of Materials, Vol. 129, 230-235, 2019.

13. Xiao, Y., Li, Y. and Rotea, M.A. “CART3 Field Tests for Wind Turbine Region-2 Operation with Extremum Seeking Controllers,” IEEE Transactions on Control Systems Technology, Vol. 27, No. 4, pp. 1744 - 1752, July 2019.

14. Ciri U., M.A. Rotea, and S. Leonardi, “Effect of the turbine scale on yaw control,” Wind Energy, 2018, Vol. 21 (12), pp. 1395-1405.

15. Martin, R., Sabato, A., Giles, R., Schoenberg, A., and Niezrecki, C., “Comparison of nondestructive testing techniques for the inspection of wind turbine blades’ spar caps,” Wind Energy, DOI: 10.1002/we.2208, May, 2018.

16. Xiao Y., Y. Li, and M. A. Rotea, “CART3 Field Tests for Wind Turbine Region-2 Operation with Extremum Seeking Controllers,” IEEE Trans. on Control Systems Technology, first published on line: April 2018, DOI: 10.1109/TCST.2018.2825450.

17. Iungo G. V., Santhanagopalan V., Ciri U., Viola F., Zhan L., Rotea M. A. and Leonardi S., “Parabolic RANS solver for low-computational-cost simulations of wind turbine wakes,” Wind Energy, Vol. 21, No. 3, March 2018, pp. 184-197.

18. Santhanagopalan V., M.A. Rotea, G.V. Iungo, “Performance optimization of a wind turbine column for different incoming wind turbulence,” Renewable Energy, Vol. 116, February 2018, pp. 232-24.

19. Willis, D. J., Niezrecki C., Kuchma, D., Hines, E., Arwade, S., Barthelmie, R. J., DiPaola, M., Drane, P. J., Hansen, C. J., Inalpolat, M., Mack, J. H., Meyers, A. T., and Rotea, M., “Wind Energy Research: State-of-the-Art and Future Research Directions,” Renewable Energy, Elsevier, vol. 125(C), pages 133-154, 2018.

20. Ciri U., Rotea M.A., Santoni C., Leonardi S., “Large-Eddy Simulation with Extremum Seeking Control for wind turbine array power optimization,” Wind Energy, Vol. 20 , No. 9, September 2017, pp. 1617-1634.

21. Ciri U., Rotea M.A. and Leonardi S. “Model-free Control of Wind Farms. A comparative study between individual and coordinated extremum seeking,” Renewable Energy, Vol. 113, December 2017, pp. 1033-45.

22. El-Asha S., Zhan L., Iungo G.V., “Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind LiDAR data,” Wind Energy, Vol. 20, No. 11, November 2017, pp. 1823- 1839.


Conference Papers:

  1. Gondle, R.K., Kurup, P.U., and Niezrecki, C. “Evaluation of Wind Turbine-Foundation Degradation,” Paper accepted to the 16th International Conference of the International Association for Computer Methods and Advances in Geomechanics (IACMAG), Torino, Italy, May 5-8, 2021.
  2. Inalpolat, Murat, and Christopher Niezrecki. “Acoustic Sensing Based Operational Monitoring of Wind Turbine Blades.” Journal of Physics: Conference Series 1452.1 (2020): 012050.
  3. Joe McDonald, Michael Olaya, Sagar Shah, Scott Stapleton, Christopher Hansen, Marianna Maiaru, “Wind Blade Repair Optimization,” Presented at ASC Conference Proceedings, session Composites for Wind Blades, ASC 35th Technical (Virtual) Conference, September 17, 2020.
  4. Zhan L., Letizia S., Iungo G.V., “Wind LiDAR measurements of wind turbine wakes evolving over flat and complex terrains: Ensemble statistics of the velocity field,” Journal of Physics: Conference Series, vol. 1452, 012077, 2020.
  5. Liu, Chang, Abhineet Gupta, and Mario Rotea. “Multi-Sectional Lift Actuation for Wind Turbine Load Alleviation.” Journal of Physics: Conference Series. Vol. 1618. No. 2. IOP Publishing, 2020.
  6. Zhan, Lu, Stefano Letizia, and Giacomo Valerio Iungo. “Wind LiDAR measurements of wind turbine wakes evolving over flat and complex terrains: Ensemble statistics of the velocity field.” Journal of Physics: Conference Series. Vol. 1452. No. 1. 2020.
  7. Ciri, U., M. A. Rotea, and S. Leonardi. “Increasing wind farm efficiency by yaw control: beyond ideal studies towards a realistic assessment.” Journal of Physics: Conference Series. Vol. 1618. No. 2. IOP Publishing, 2020
  8. Liu C., Yaoyu Li, John A. Cooney, Neal E. Fine, and Mario A. Rotea, “NREL FAST Modeling for Blade Load Control with Plasma Actuators,” 2018 IEEE Conference on Control Technology and Applications, pp. 1644-1649, Copenhagen, Denmark, August 21-24, 2018.
  9. Santhanagopalan V., Letizia S., Zhan L., Al-Hamidi L.Y., Iungo G.V. “2018 Profitability optimization of a wind power plant performed through different optimization algorithms and a data-driven RANS solver.” 2018 Wind Energy Symp., AIAA Scitech Forum AIAA 2018-2018.
  10. Su, J., Johnson, S., Stapleton, S., Sherwood, J., Nolet, S., Althoff, N., “Effects of Localized Manufacturing-Induced Defects in Wind Turbine Blades, Proceedings of the American Society for Composites: Thirty-Third Technical Conference, Seattle, WA, 2018.
  11. Beale, C., Inalpolat, M., and Niezrecki, N., “An Experimental Investigation into the Interactions between Acoustic Modes and Structural Damage on a Cavity Structure,” International Modal Analysis Conference (IMAC XXXVI), Orlando, Florida, February 2018.
  12. Cassano A, Hansen C, Stapleton S, Maiaru M, “Prediction of Cure Overheating in Thick Adhesive Bondlines for Wind Energy Applications”, 2018 Simulia Global User Meeting, Boston, MA, June 18-21, 2018
  13. Fickenwirth, P., Inalpolat, M., “Feature Extraction for Vibration Based Damage Detection Using Spatio-temporal Structural Patterns,” International Modal Analysis Conference (IMAC XXXVI), Orlando, Florida, February 2018.
  14. Iungo G.V., S. Letizia and L. Zhan, “Quantification of the axial induction exerted by utility-scale wind turbines by coupling LiDAR measurements and RANS simulations”, TORQUE 2018, Milano, Italy, June 20-22 2018, J. Phys.: Conf. Ser. 1037 (7), 072023.
  15. Nanos, E.M., Robke, J., Heckmeier, F.M., Cerny, M., Bottasso, C.L., Jones, K.L., Iungo, G.V., “Wake characterization of a multipurpose scaled wind turbine model” (2019) AIAA Scitech 2019 Forum, San Diego; United States; 7 January 2019 through 11 January 2018
  16. Santoni C., Garcia-Cartagena E.J., Ciri U., Iungo G .V. and Leonardi S., “Coupling of mesoscale Weather Research and Forecasting model to a high fidelity Large Eddy Simulation”, TORQUE 2018, Milano, Italy, June 20-22 2018, J. Phys.: Conf. Ser. 1037 (6), 062010.
  17. Ciri U., Rotea M.A. and Leonardi S., “Nested Extremum Seeking Control for Wind Farm Power Optimization,” 2017 American Control Conference, Seattle, WA, May 24-26 2017, pp. 25-30.
  18. Polcari M, Sherwood J. “Automation for Wind Blade Manufacturing.” 3rd International Symposium on Automated Composites Manufacturing. Montreal, 2017.
  19. Ashuri T, M.A. Rotea, C.V. Ponnurangam and Y. Xiao, “Impact of airfoil performance degradation on annual energy production and its mitigation via extremum seeking controls,” 34th Wind Energy Symposium, AIAA SciTech, AIAA 2016-1738, San Diego, CA, 4-8 Jan 2016.
  20. Ciri U., Rotea M.A., Santoni C., Leonardi S. Large-Eddy Simulation for an array of turbines with extremum seeking control. In: Proceedings of the American Control Conference, Boston, MA, USA, 6–8 July, 2016; pp. 531–536.
  21. DiPaola M., D. J. Willis, S. Leonardi, “A Fast Differential Deficit Control Volume Approach for Modeling Turbine-Turbine Interactions,” 46th AIAA Fluid Dynamics Conference, 2016, (AIAA 2016-3962), Washington, DC, June 13-17, 2016.
  22. Iungo G.V., F. Viola; U. Ciri; S. Leonardi and M.A. Rotea, “Reduced order model for optimization of power production from a wind farm,” 34th Wind Energy Symposium, AIAA SciTech, AIAA 2016-2200, San Diego, CA, 4-8 Jan 2016.
  23. Martin, R., Baird, C., Giles, R., Niezrecki, C., “Terahertz ISAR and x-ray imaging of wind turbine blade structures,” Proceedings of the SPIE Symposium on Smart Structures & Materials/NDE, Las Vegas, NV, March 20-24, 2016.
  24. Polcari M., and Sherwood J. 2016. “Simulation of the Automation of Composite Wind Turbine Blade Manufacture”, Proceedings of the American Society for Composites 31st Technical Conference and ASTM Committee D30 Meeting. September 19-12, Williamsburg, VA.
  25. Xiao Y., Y. Li and M.A. Rotea, “Experimental Evaluation of Extremum Seeking Based Region-2 Controller for CART3 Wind Turbine,” 34th Wind Energy Symposium, AIAA SciTech, AIAA 2016-1737, San Diego, CA, 4-8 Jan 2016.
  26. Xiao Y., Y. Li and M.A. Rotea, “Multi-objective Extremum Seeking Control for Enhancement of Wind Power Capture with Load Reduction,” TORQUE 2016, Munich, Germany, 5-7 October 2016. J. Phys.: Conf. Ser. 753 052025.
  27. Dev S. and Hansen C., “Screening Barrier Properties for Robust Double Shell Walled Microcapsules,” Fifth International Conference on Self-Healing Materials, Durham, North Carolina, NC, USA, June 2015.
  28. Dev S. and Hansen C., “Evaluation of self-healing performance in epoxy/glass fiber composites manufactured using VARTM. 20th International Conference on Composite Materials, July 19-24 2015, Copenhagen Denmark.
  29. Iungo G.V., Santoni C., Abkar M., Porté-Agel F., Rotea M.A. and Leonardi S. (2015), Data-driven Reduced Order Model for prediction of wind turbine wakes. J. Phys.: Conf. Ser., 625 012009.
  30. Iungo G.V., Viola F., Ciri U., Rotea M.A. and Leonardi S. (2015) Data-driven RANS for simulations of large wind farms. J. Phys.: Conf. Ser., 625 012025.
  31. Antoni C., Ciri U., Rotea M., and Leonardi S. (2015) Development of a high fidelity CFD code for wind farm control. American Control Conference, American Control Conference, 1715-1720.

Ph.D. Dissertations:

  1. Christopher Beale, “System Integration of a Wind Turbine Blade Acoustic Monitoring System,” PhD in Mechanical Engineering, University of Massachusetts Lowell, 2019. (Advisor: Murat Inalpolat).
  2. Umberto Ciri, “Analysis of Model-Free Control of Wind Farms using Large-Eddy Simulations,” Ph.D. in Mechanical Engineering, University of Texas at Dallas, July 2019. (Chair: Stefano Leonardi).
  3. Lu Zhan, “LiDAR measurements for the characterization of wind turbine wakes, wake interactions and their effects on wind farm performance,” Ph.D. in Mechanical Engineering, University of Texas at Dallas, December 2019. (Chair: G. Valerio Iungo).
  4. Siddharth Dev, “Novel Microcapsule Chemistries for Self-Healing Applications in Polymeric Materials,” Ph.D. in Mechanical Engineering, Dissertation, University of Massachusetts Lowell, 2018. (Advisor: Christopher Hansen).
  5. Cristian Santoni, “Wind Farm Modeling: From the Meso-Scale to the Micro-Scale,” Ph.D. in Mechanical Engineering, University of Texas at Dallas, 2018. (Chair: Stefano Leonardi).
  6. Yan Xiao, “Control of Wind Power Systems for Energy Efficiency and Reliability,” Ph.D. in Electrical Engineering, University of Texas at Dallas, 2018. (Chair: Mario Rotea, Co-Chairs: Yaoyu Li, Babak Fahimi).

Master of Science Thesis:

  1. Haus, L., “New Methods for Digital Twin Modelling of Wave and Wind Energy Systems,” MS Thesis, UT-Dallas, July 2020.
  2. Behzad Najafi, “Characterization of uniform momentum zones in the atmospheric boundary layer,” M.S. in Mechanical Engineering, University of Texas at Dallas, July 2019 (Chair: G.V. Iungo).
  3. Joshua Morris, “Improving Wind Turbine Blade Transverse and Shear Response Using Advanced Resins,” Master of Science Thesis, University of Massachusetts Lowell, 2018. (Advisor: Alireza Amirkhizi).
  4. El-Asha, Said, “Performance Analysis of an Onshore Wind Farm Through LiDAR, SCADA and Meteorological Data,” M.S. in Mechanical Engineering, University of Texas at Dallas, December 2017 (Chair: G. Valerio Iungo).
  5. Martin, R. W., “Analysis of polarimetric terahertz imaging for non-destructive detection of subsurface defects in wind turbine blades,” Master of Science Thesis, University of Massachusetts Lowell, 2016. (Advisor: Christopher Niezrecki).

Selected Presentations:

  1. S. Letizia, L. Zhan and G.V. Iungo. “Effects of topographic wakes on wind turbine performance.” Wind Energy Science Conference 2019, June 17-20, Cork, IR.
  2. L. Zhan, S. Letizia and G.V. Iungo. “Ensemble statistics of wind turbine wakes on flat and complex terrains: Wind LiDAR observations.” NAWEA WindTech 2019 Conference, October 14-17, 2019, Amherst, MA.
  3. Shah, S., “Mechanical Property Enhancement Prediction for Matrix Materials,” CAMX, Anaheim, CA, September 2019.
  4. Rotea M.A., “Control of Wind Energy Systems,” J. Mike Walker ’66 Seminar Series, Texas A&M University, February 20, 2019.
  5. Letizia S., Zhan L., Iungo G.V., “Effects of topographic wakes on wind turbine performance,” Wind Energy Science Conference, June 17-20 2019, Cork, Ireland.
  6. Nanos E.M., Letizia S. , Zhan L., Rotea M.A., Bottasso C. and Iungo G.V., “An experimental study of lateral wake interactions within a wind farm,” Wind Energy Science Conference, June 17-20 2019, Cork, Ireland.
  7. Niezrecki, C., Keynote Address: “Recent Developments in Wind Turbine Sensing for Structural Health Monitoring,” World Energy Congress, Boston, MA, August 27-28, 2018.
  8. Rotea M.A., Extremum Seeking Control of Wind Energy Systems, AWEA Wind Project O&M and Safety Conference 2018 (largest North American gathering of wind energy O&M industry professionals), San Diego, CA, February 27-28, 2018.
  9. Iungo G.V., “Data-driven modeling of wind farm performance and wakes based on LiDAR and SCADA data,” Presentation at the Sandia Wind Turbine Blade Workshop, August 29, 2018, Lubbock, TX.
  10. Letizia S, Lu Zhan and G. Valerio Iungo, “LiDAR data-driven modeling of onshore wind farms on flat and complex terrains,” 71st Annual meeting of the American Physical society, Division of Fluid Dynamics, November 18-20, 2018, Atlanta, GA.
  11. Niezrecki, C., Keynote Address: “Recent Developments in Wind Turbine Sensing for Structural Health Monitoring,” International Conference On Renewable & Non-Renewable Energy, Las Vegas, NV, July 16-17, 2018.
  12. Rocchio B., U Ciri, S Leonardi, M Salvetti, “Stochastic calibration of the actuator line model parameters,” Bulletin of the American Physical Society, November 2018.
  13. Santoni C., E García-Cartagena, U Ciri, GV Iungo, S Leonardi, “Turbulence generation in a large eddy simulation of a wind farm coupling meso-and micro scale,” Bulletin of the American Physical Society, November 2018.
  14. Ciri, U., Rotea M.A., and Leonardi S., “Evaluation of active wake steering using large-eddy simulations,” North American Wind Energy Academy Symposium, Ames, Iowa, September 26-29, 2017.
  15. Rotea, M.A., Optimization & Control of Wind Energy Systems, CREST 4th JST-NSF-RCN Workshop on Distributed Energy Management Systems, June 12-14, 2017, Tokyo.
  16. Rotea M.A., S. Leonardi and Y. Li, “Extremum Seeking Control of Wind Turbines and Wind Farms,” Invited presentation at the Mini Symposia “WindFarm2017,” Wind Energy Science Conference 2017, June 26-29, 2017, Technical University of Denmark, Lyngby, Denmark.
  17. Niezrecki, C., Workshop on Probabilistic Prognostics and Health Management of Energy Systems, “Optical Sensing for Structural Dynamics, Structural Health Monitoring, and Wind Energy,” Texas Tech University, May 15, 2017
  18. Mario A. Rotea. “Optimization and Control of Wind Energy Systems,” Cymer Center for Control Systems and Dynamics, University of California at San Diego, La Jolla, CA, March 3, 2017.
  19. Mario A. Rotea. “Optimization and Control of Wind Energy Systems,” Mechanical Engineering Graduate Seminar, University of Texas at Dallas, Richardson, TX, February 24, 2017.
  20. Santoni C., Garcia-Cartagena E.J., Zhan L., Iungo G.V., Leonardi S., 2017 Weather research forecasting model simulation of an onshore wind farm: assessment against LiDAR and SCADA data. 70th Annual Meeting APD DFD, Denver, CO.
  21. El-Asha S., Zhan L. and Iungo G. V., “Quantification through SCADA, Meteorological, and Wind LiDAR Data of Power Losses due to Wake Interactions”, Windfarms 2016, Richardson, TX, 2016.
  22. Li. Y., “Maximizing Wind Power Output with Extremum Seeking,” SWiFT Facility, Sandia National Laboratory, Lubbock, TX, July 28, 2016.
  23. Niezrecki, C., Offshore Wind Leaders Conference; Panel on Positive Impacts of Basic and Applied Research of an Emerging Offshore Wind Sector: U.S. Higher Education, March 1, 2016 (invited).
  24. Mario A. Rotea. “Modeling and Control of Wind Energy,” Mechanical and Aerospace Engineering Seminar Series, University of Central Florida, Orlando, FL, November 4, 2016.
  25. Mario A. Rotea. “Modeling and Control of Wind Energy,” Mechanical Engineering Seminar Series, University of Houston, Houston, TX, November 10, 2016.
  26. Rotea Mario A., “Modeling and Control of Wind Energy,” Plenary, IEEE Multi-Conference on Systems and Control 2016, Buenos Aires, Argentina, September 19-22, 2016.
  27. Niezrecki, C., National Renewable Energy Laboratory – National Wind Technology Center, “Digital Image Correlation Applied to Structural Dynamics, Structural Health Monitoring, and Wind Energy,” January 20, 2015, (invited).
  28. Niezrecki, C., Webinar: “An Overview of WindSTAR” Maine Ocean and Wind Industry Initiative, December 16, 2014 (invited).
  29. Niezrecki, C., SMART Wind Consortium Launch, “An Overview of WindSTAR and NIST FIBERS for the Composites Industry,” Albany, NY October 16, 2014 (invited).

Webinars:

  1. G. V. Iungo, PhD., University of Texas at Dallas; Data-driven Wind Farm Modeling Based on LiDAR Measurements. March 24, 2021.
  2. S. Leonardi, PhD., University Of Texas at Dallas; Current Status and Future Directions I Wind Farm Modeling. November 4, 2020.
  3. M. Rotea, PhD., University of Texas at Dallas; Control of Wind Energy systems. June 19,2020.
  4. C. Niezrecki, PhD., University of Massachusetts, Lowell; WindSTAR and GRAPES: An NSF Industry University Cooperative Research Center Webinar. December 12, 2018.