Texas Tech University

Suhas Pol, Ph.D.

Associate Professor and Director
Renewable Energy

Email: suhas.pol@ttu.edu

Phone: (806) 834-4515

Dr. Suhas Pol is an Associate Professor and Director of the Renewable Energy Program at Texas Tech University. His work spans renewable integration, forecasting, energy systems modeling, and data-informed decision support for modern grid and market operations. He leads curriculum strategy, program development, and interdisciplinary collaborations that connect engineering, science, analytics, and policy in support of emerging energy and workforce needs. Dr. Pol’s external leadership includes serving as Co-Chair of the North American Wind Energy Association (NAWEA) Education Committee and as a member of the PowerHouse Texas Energy Policy Advisory Committee.

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Research Interests

Dr. Pol leads the Renewable Energy Technology Laboratory at Texas Tech University. His research spans several interconnected areas:

  • Energy Systems & Renewable Integration: Study of grid-level interactions between renewable resources, atmospheric conditions, and operational decision making.
    Applications: forecasting, grid integration, and energy system optimization.
  • Wind Farm Aerodynamics & Wake Interactions: Investigation of wind turbine wake behaviors and strategies to improve wind farm performance, including experimental validation using the Hyper Accelerated Wake Simulation (HAWKS) wind tunnel platform.
  • Data-Enabled Forecasting & Market Analytics: Development of models to forecast renewable production, atmospheric conditions, and market variables such as local marginal prices (LMP), supporting improved operational and financial decision-making.
  • Distributed Energy Systems: Research on siting, forecasting, and techno-economic challenges associated with distributed wind and other distributed energy resources.
  • Translational Innovation: Exploration of commercial potential in technologies developed in the lab and the application of engineering techniques to emerging domains, including healthcare.

Education

  • 2010: Ph.D. in Mechanical Engineering, Arizona State University, USA.
  • 2006: M.S. in Mechanical Engineering, University of Utah, USA.
  • 2002: B.E. in Mechanical Engineering, VJTI, University of Mumbai, India.

Teaching

Undergraduate Graduate
  • RE 1110:− Renewable Energy Analytical Modeling Lab
  • RE 2310:− Methods for Renewable Energy Resource Characteristics
  • RE 3300:− Renewable Energy Science and Technology I
  • RE 3301:− Renewable Energy Science and Technology II
  • RE 4320:− Independent Study in Renewable Energy, Wind and Hydro Power applications
  • RE 3303:− Data Science in Renewable Energy
  • RE 5302:− Renewable Energy Systems
  • RE 5304:− Applications of Applied Renewable Energy Technology

Awards & Honors

  • R&D 100 Award, as part of collaborative team consisting of Texas Tech U, Sandia National Lab, and AeroMINE Inc., for developing AeroMINE a novel wind energy harnessing device, December 2021.
  • State of Texas GLEAMM SPARK iLaunch Award (2nd place), given to Tissue Kinematics Quantification team, April 2018.
  • TTU Presidents Innovation Award, given to Tissue Kinematics Quantification team, January 2018.
  • TTU Accelerator Award, sponsored by Market Lubbock, Inc. & Lubbock Economic Development Corporation (LEDA), given to Tissue Kinematics Quantification team, June 2017.
  • IEEE best paper award 13th LACCEI Annual International Conference, Santo Domingo, Dominican Republic., July 2015.
  • Spot Award Los Alamos National Laboratory, to recognize going beyond job requirements during the construction of the LANL wind turbine field site, July 2012.

Renewable Energy