Scott has been with for Turbine Logic for 6 years and has primarily focused on data analysis and performance modeling of different power generation assets. Scot has work on  digital twin development and road mapping for gas turbine, photovoltaic, and hydroelectric power systems. He currently leads Turbine Logic’s renewables monitoring efforts, where he oversees the development of renewable plant models used for hardware fault detection.

Georgia Institute of Technology
M.S., Aerospace Engineering, 2016
B.S., Aerospace Engineering, 2014

• Noble, D., Wu, D., Emerson, B., Sheppard, S., Lieuwen, T., Angello, L., Assessment of Current Capabilities and Near-Term Availability of Hydrogen-Fired Gas Turbines Considering a Low-Carbon Future. ASME. J. Eng. Gas Turbines Power. GTP-20-1428.
• Noble, D., Angello, L., Sheppard, S., Kee, J., Emerson, B., Lieuwen, T., Investigation into Advanced Combustion System Health Monitoring. ASME. Turbo Expo: Power for Land, Sea, and Air. GT2019-91973.
• Emerson, B., Perullo, C., Lieuwen, T., Sheppard, S., Kee, J., Noble, D., and Angello, L., Combustion Dynamics Monitoring Considerations for Systems With Autotuning. ASME. Turbo Expo: Power for Land, Sea, and Air. GT2018-77072.

• Outstanding Poster Award at NREL’s 2022 Photovoltaic Reliability Workshop