Publications by WindStar Researchers

Wind Energy magazine cover: Volume 90, Number 11, November 2017. It shows Wind Turbines in a field with clouds and “Wiley: at the bottom.

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 2023 Annual Report (pdf)
  2. WindSTAR 2022 Annual Report (pdf)
  3. WindSTAR 2021 Annual Report (pdf)
  4. WindSTAR 2020 Annual Report (pdf)
  5. WindSTAR 2019 Annual Report (pdf)
  6. WindSTAR 2018 Annual Report (pdf)
  7. WindSTAR 2017 Annual Report (pdf)

Journal Papers

  1. Cimorelli, J., Hammerstrom, B., Niezrecki, C., Jin, X., “Estimate of the Wind Energy Needed to Replace Natural Gas with Hydrogen, and Electrify Heat Pumps and Automobiles in Massachusetts,” Wind Engineering, July 2023. https://doi.org/10.1177/0309524X231185322
  2. Aliheidari, N., Ameli, A. “Retaining high fracture toughness in aged polymer Composite/Adhesive joints through optimization of plasma surface treatment,” Composites Part A Applied Science and Manufacturing, Volume 176, January 2024, 107835 (Accepted for Publication). https://doi.org/10.1016/j.compositesa.2023.107835
  3. S. P. Shah, M. N. Olaya, E. Plaka, J. McDonald, C. J. Hansen, and M. Maiarù, "Effect of moisture absorption on curing of wind blades during repair," Compos. Part Appl. Sci. Manuf., vol. 173, p. 107706, Oct. 2023, doi: 10.1016/j.compositesa.2023.107706.
  4. Aju, E. J., Kumar, D., Leffingwell, M., Rotea, M. A., & Jin, Y. (2023). The influence of yaw misalignment on turbine power output fluctuations and unsteady aerodynamic loads within wind farms. Renewable Energy, 215, 118894. https://doi.org/10.1016/j.renene.2023.06.015
  5. Kumar, D., Rotea, M. A., Aju, E. J., & Jin, Y. (2023). Wind plant power maximization via extremum seeking yaw control: A wind tunnel experiment. Wind Energy, 26(3), 283–309. https://doi.org/10.1002/we.2799
  6. Bernardoni F, M. A. Rotea, & S. Leonardi (2022), “Impact of yaw misalignment on turbine loads in the presence of wind farm blockage,” Wind Energy (under review).
  7. Li, H. and Zhang, J., Towards Sustainable Integration: Techno-Economic Analysis and Future Perspectives of Co-located Wind and Hydrogen Energy Systems, Journal of Mechanical Design, 2023. (in press)
  8. Cao, Dongyang; Bouzolin, Dan; Lu, Hongbing; Griffith, D. Todd. (2023). Bending and shear improvements in 3D-printed core sandwich composites through modification of resin uptake in the skin/core interphase region, Composites Part B, DOI 10.1016/j.compositesb.2023.110912
  9. Zhang, Runyu; Liu, Yingjian; Zheng, Thomas; Eddin, Sarah; Nolet, Steven; Liang, Yi-Ling;
  10. Rezazadeh, Shaghayegh; Wilson, Joseph; Lu; Qian, Dong. (2023), “TITLE MISSING”. Journal of Intelligent Manufacturing, DOI 10.1007/s10845-023-02113-4
  11. Cheng, G., Lin, Y., Zhao, J., and Yan, J. “A highly discriminative detector against false data injection attacks in AC state estimation,” IEEE Transactions on Smart Grid, vol. 13, no. 3, pp. 2318-2330, May 2022.
  12. Fang, Z., Lin, Y., Song, S., Li, C., Lin, X., Wang, F. and Lu, Y. “A comprehensive framework for robust AC/DC grid state estimation against measurement and control input errors,” IEEE Transactions on Power Systems, vol. 37, no. 2, pp. 1067-1077, Mar 2022.
  13. Huang, M., Wei, Z. and Lin, Y. “Forecasting-aided state estimation based on deep learning for hybrid AC/DC distribution systems,” Applied Energy, vol. 306, part B, art no. 118119, Jan 2022.
  14. Shah, S. P., Patil, S. U. ,Christopher J. Hansen, C. J., Odegard, G. M., and Maiarù, M. “Process Modeling and Characterization of Thermoset Composites for Residual Stress Prediction.” Mechanics of Advanced Materials and Structures, December 20, 2021, 1–12. https://doi.org/10.1080/15376494.2021.2017527.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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
  20. 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
  21. 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.
  22. 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
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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. Nieduzak, T., Kulkarni, N. N., Niezrecki, C., and Sabato, A., “Wind turbine monitoring using optical motion magnification: challenges and opportunities,” Proceedings of the 14th International Workshop on Structural Health Monitoring (IWSHM 2023), Stanford, CA, September 14-16, 2023.
  2. Nieduzak, T., Valente, N. A., Niezrecki, C., and Sabato, A., “Optical Motion Magnification: A Comparative Study and Application for Vibration Analysis,” Proceedings of the IMAC XLI, A Conference on Structural Dynamics, February 13-16, Austin TX, 2023.
  3. Aliheidari, N., Ameli, A., “Hygrothermal Aging of Structural Epoxy Adhesives Used in Wind Turbine Blade Composite Joints,” Proc Am Soc Compos Tech Conf 2023;0. https://doi.org/10.12783/asc38/36687
  4. Aliheidari, N, Ameli, A., “Effects of Bondline and Substrate Thicknesses on the Mode I Fracture Toughness of Composite/Adhesive Joints,” Proc Am Soc Compos Tech Conf 2023;0. https://doi.org/10.12783/asc38/36688
  5. Letizia, S., Moss, C., Puccioni, M., Jacquet, C., Apgar, D., & Iungo, G.V. (2022). Effects of the thrust force induced by wind turbine rotors on the incoming wind field: A wind lidar experiment. Journal of Physics: Conference Series, 2265(2), 022033. Doi:/10.1088/1742-6596/2265/2/022033
  6. Li, H., Rahman, J., & Zhang, J. (2022). Optimal planning of co-located wind energy and hydrogen plants: A techno-economic analysis. Journal of Physics: Conference Series, 2265(4), 042063. doi: 10.1088/1742-6596/2265/4/042063
  7. 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.
  8. Inalpolat, Murat, and Christopher Niezrecki. “Acoustic Sensing Based Operational Monitoring of Wind Turbine Blades.” Journal of Physics: Conference Series 1452.1 (2020): 012050.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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
  19. 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.
  20. 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.
  21. 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
  22. 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.
  23. 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.
  24. Polcari M, Sherwood J. “Automation for Wind Blade Manufacturing.” 3rd International Symposium on Automated Composites Manufacturing. Montreal, 2017.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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. Devesh Kumar, “Advanced log-of-power extremum seeking control for wind power maximization,” Mechanical Engineering, University of Texas at Dallas, May 2023. (Chair: Mario Rotea)
  2. Chang Liu, “Active load control of wind turbines using plasma actuation,” Mechanical Engineering, University of Texas at Dallas, May 2023. (Chair: Mario Rotea)
  3. Ning Bian, “Using nanofillers to enhance the mechanical properties of fiber-reinforced composites,” Ph.D. in Mechanical Engineering, UT Dallas, August 2023.
  4. Runyu Zhang, “Data-driven predictive models for manufacturing glass fiber composites and 3D-printed metals using neural networks and x-ray imaging, Ph.D. in Mechanical Engineering, UT Dallas, May 2023.
  5. Yingjian Liu, “Hierarchical deep-learning neural network and its application to non-linear finite element method,” November 2023.
  6. Sagar Shah, “Transverse Property Prediction of Thermosetpolymer Matrix Composites,” Ph.D. in Mechanical Engineering, UMass Lowell, November 2022. (Chair: Marianna Maiaru).
  7. Federico Bernardoni, “Identification of wind turbine clusters for effective real time yaw control optimization,” Ph.D. in Mechanical Engineering, University of Texas at Dallas, Fall 2022. (Chair: Stefano Leonardi).
  8. Matteo Puccioni, “Investigation on the organization of turbulence for high Reynolds-number boundary-layers through LiDAR experiments,” Ph.D. in Mechanical Engineering, University of Texas at Dallas, Fall 2022. (Chair: G. Valerio Iungo).
  9. Joshua Morris, “Design, Characterization, and Analysis Methods for Low Frequency Mechanical Metamaterials” Ph.D. in Mechanical Engineering, UMass Lowell, August 2022. (Chair: Alireza Amirkhizi).
  10. Caleb Traylor, “Computational Investigation into the Aeroacoustics of Wind Turbine Blades for Structural Health Monitoring,” Ph.D. in Energy Engineering, UMass Lowell, August 2022. (Chair: Murat Inalpolat).
  11. Jaclyn V. Solimine, “Development of Robust, Data-Driven Damage Identification Techniques for the Passive Acoustics Based Structural Health Monitoring of Wind Turbine Blades”, Ph.D. in Mechanical Engineering, UMass Lowell, December 2021. (Chair: Murat Inalpolat).
  12. Stefano Letizia, “Wind farm flow and power capture: optimal design of LiDAR experiments, flow physics, and mid-fidelity modeling,” Ph.D. in Mechanical Engineering, University of Texas at Dallas, Fall 2021. (Chair: G. Valerio Iungo).
  13. Christopher Beale, “System Integration of a Wind Turbine Blade Acoustic Monitoring System,” PhD in Mechanical Engineering, University of Massachusetts Lowell, 2019. (Advisor: Murat Inalpolat).
  14. 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).
  15. 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).
  16. 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).
  17. 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).
  18. 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 Theses

  1. Tymon Nieduzak, M.S., “Wind Turbine Foundation Monitoring using Optical Motion Magnification” UMass Lowell, May 2023, (Co-Chairs A. Sabato and C. Niezrecki)
  2. Joseph McDonald, “Composites for Wind Turbine Blade Repair,” M.S. in Mechanical Engineering, December 2021.
  3. Haus, L., “New Methods for Digital Twin Modelling of Wave and Wind Energy Systems,” MS Thesis, UT-Dallas, July 2020.
  4. 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).
  5. 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).
  6. 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).
  7. 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. Nieduzak, T., Niezrecki, C., and Sabato, A., “Wind turbine monitoring using optical motion magnification,” presented at the SEM Northeast regional symposium, University of Rhode Island, April 22, 2023.
  2. S Abootorabi, S Leonardi, M Rotea, A Zare (2023), “Short-term wind forecasting via surface pressure measurements: stochastic modeling and optimal sensor placement,” 76th Annual Meeting of the Division of Fluid Dynamics, Bulletin of the American Physical Society.
  3. EJ Aju, P Gong, D Kumar, RS Wale, M Rotea, Y Jin (2023), “The Influence of Consecutive Gust on Turbine Under Yaw Misalignment, 76th Annual Meeting of the Division of Fluid Dynamics, Bulletin of the American Physical Society.
  4. Rotea, M. A., Kumar D., E.J. Aju, Y. Jin (2023), “Wake steering via extremum seeking yaw control for power maximization: wind tunnel experiments.” Wind Energy Science Conference, 23 – 26 May 2023, Glasgow, UK
  5. Li, H. and Zhang, J., Economic Feasibility and Decarbonization Potential of Hybrid Wind and Hydrogen Systems in Texas, North American Wind Energy Academy (NAWEA)/WindTech 2023 Conference, Denver, CO, Oct. 30–Nov. 1, 2023.
  6. Li, H. and Zhang, J., “Assessing The Economic Feasibility and Decarbonization Potential of Wind Energy-based Hydrogen Production in Texas”, Wind Energy Science Conference, Glasgow, United Kingdom, May 23–26, 2023.
  7. Aju, E., Kumar, D., Rotea, M., & Jin, Y. Wake steering of wind farm over complex terrain, APS Division of Fluid Dynamics Meeting 2022, Indianapolis, Nov 20-22, 2022
  8. Diltz, N., Avitabile, P., and Niezrecki, C., “Assessment of Wind Turbine Foundation Degradation from Dynamic Measurements Made at the Nacelle,” NAWEA/WindTech 2022 Conference, University of Delaware, DE, USA, September 20-22, 2022
  9. Hammerstrom, B., Niezrecki, C., Jin, X., Cimorelli, J., “Estimate of the Wind Energy Needed to Replace Natural Gas with Hydrogen and Electrify Heat Pumps and Automobiles in Massachusetts,” NAWEA/WindTech 2022 Conference, University of Delaware, DE, USA, September 20-22, 2022
  10. Mishra, I., Griffith, D.T., Sensitivity Analysis Of Wind Turbine Digital Twin Model To Uncertain Model Input Parameters, NAWEA/WindTech 2022 Conference, Newark, Delaware, September 20-22, 2022.
  11. Moss, C., Puccioni, M., Maulik, R., Jacquet, C., Apgar, D., & Iungo, G.V., Machine Learning Analysis of Profiling Wind LiDAR Data to Quantify Blockage for Onshore Wind Turbines, NAWEA/WindTech 2022 Conference, Newark, Delaware, September 20-22, 2022.
  12. Aju, E., Kumar, D., Rotea, M., & Jin, Y. (2021). On the wake dynamics, flow loading and power output of wind farms under wake steering control: a wind tunnel experiment. In APS Division of Fluid Dynamics Meeting Abstracts (pp. T27-009).
  13. Bernardoni, F., Ciri, U., Rotea, M.A., Leonardi, S., Identification of interacting turbines with time variant wind direction In: EAWE PhD Seminar 2021, November 3rd-25th, Porto, PT, 2021
  14. 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.
  15. 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.
  16. Shah, S., “Mechanical Property Enhancement Prediction for Matrix Materials,” CAMX, Anaheim, CA, September 2019.
  17. Rotea M.A., “Control of Wind Energy Systems,” J. Mike Walker ’66 Seminar Series, Texas A&M University, February 20, 2019.
  18. 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.
  19. 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.
  20. Niezrecki, C., Keynote Address: “Recent Developments in Wind Turbine Sensing for Structural Health Monitoring,” World Energy Congress, Boston, MA, August 27-28, 2018.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. Rocchio B., U Ciri, S Leonardi, M Salvetti, “Stochastic calibration of the actuator line model parameters,” Bulletin of the American Physical Society, November 2018.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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
  31. 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.
  32. Mario A. Rotea. “Optimization and Control of Wind Energy Systems,” Mechanical Engineering Graduate Seminar, University of Texas at Dallas, Richardson, TX, February 24, 2017.
  33. 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.
  34. 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.
  35. Li. Y., “Maximizing Wind Power Output with Extremum Seeking,” SWiFT Facility, Sandia National Laboratory, Lubbock, TX, July 28, 2016.
  36. 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).
  37. Mario A. Rotea. “Modeling and Control of Wind Energy,” Mechanical and Aerospace Engineering Seminar Series, University of Central Florida, Orlando, FL, November 4, 2016.
  38. Mario A. Rotea. “Modeling and Control of Wind Energy,” Mechanical Engineering Seminar Series, University of Houston, Houston, TX, November 10, 2016.
  39. 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.
  40. 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).
  41. Niezrecki, C., Webinar: “An Overview of WindSTAR” Maine Ocean and Wind Industry Initiative, December 16, 2014 (invited).
  42. 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.

  1. Lundstrom, T., Baqersad, J., and Niezrecki, C“Monitoring the Dynamics of a Robinson R44 Helicopter Main Rotor with High-Speed Stereophotogrammetry” Experimental Techniques, submitted April, 2013.
  2. Fetfatsidis, KA., Wei, S., LeBlanc, B., Sherwood, J., Chen, J., Niezrecki, C., Avitabile, P., Nolet, S., “Effect of out-of-plane wave defects on the compressive strength and fatigue response of fabric-reinforced composites for wind turbine blades,” Wind Energy, submitted April, 2013.
  3. LeBlanc, B., Niezrecki, C., Avitabile, P., Chen, J., Sherwood, J“Damage Detection and Full Surface Characterization of a Wind Turbine Blade Using Three-Dimensional Digital Image Correlation, Structural Health Monitoring, submitted January 2013.
  4. Lundstrom, T., Niezrecki, C., Avitabile, P., “Appropriate Rigid Body Correction of Stereophotogrammetry Measurements Made on Rotating Systems,” Experimental Techniques, accepted April 2013.
  5. Niezrecki, C., Avitabile, P., Chen, J., Sherwood, J., Lundstrom, T., LeBlanc, B., Hughes S., Desmond, M., Beattie, A., Rumsey, M., Klute, SM., Werlink, R., and Newman, J., “Inspection and Monitoring of Wind Turbine Blade Embedded Defects During Fatigue Testing,” Procof 9th International Workshop on Structural Health Monitoring, Stanford, Palo Alto, CASept10-12, 2013.
  6. Baqersad, J., Lundstrom, T., Niezrecki, C., and Avitabile, P“Measuring the Dynamics of Operating Helicopter Rotors and Wind Turbines using 3D Digital Stereophotogrammetry”, Proceedings of the AHS 69th Annual Forum and Technology Display, Phoenix, Arizona, May 21–23, 2013.
  7. Carr, J., Pingle, P., Avitabile, P., and Niezrecki, C., “Alternate Techniques/New Approaches for Identification of Full Field Dynamic Stress Strain from Limited Sets of Measured Data for Wind Turbine Applications,” Proceedings of the 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA-2013-1696, Boston, MA, April 8-11, 2013.
  8. Carr, J., Baqersad, J., Avitabile, P., Niezrecki, C"Predicting Dynamic Strain on Wind Turbine Blade Using Digital Image Correlation Techniques in Conjunction with Analytical Expansion Methodologies", Proceedings of the IMAC-XXXI, Garden Grove, CA, February 11-14, 2013.
  9. Baqersad, J., Niezrecki, C., and Avitabile, P., “Dynamic Characterization of a Free-Free Wind Turbine Blade Assembly”, Proceedings of the IMAC-XXXI, Garden Grove, CA, February 11-14, 2013.
  10. Baqersad, J., Niezrecki, C., and Avitabile, P., “Effects of Boundary Condition on the Structural Dynamics of Wind Turbine Blades”, Proceedings of the IMAC-XXXI, Garden Grove, CA, February 11-14, 2013.
  11. E.Harvey, J.Ruddock, P.Avitabile, “Comparison of Full Field Strain Distributions to Predicted Strain Distributions from Limited Sets of Measured Data for SHM Applications”, Tenth International Conference on Damage Assessment to Structures, Dublin, Ireland, July 2013.
  12. Niezrecki, C., Avitabile, P., Chen, J., “Dynamic Stress-Strain Prediction of Vibrating Structures in Operation,” NSF Engineering Research and Innovation Conference, CMMI-0900534, Boston, MA, July9-11, 2012.
  13. SSivasubramanian, KJafferji, D.FSchmidt, EReynaud, "Minimally toxic bio-derived structural adhesives", Abstracts of Papers, 245th ACS National Meeting & Exposition, 2013, POLY-559.