Dr. Jared B. Garrison

  • Ph.D. Graduate

Mr. Garrison earned his bachelor’s, master’s, and PhD degrees in mechanical engineering from The University of Texas at Austin (UT) in 2007, 2009, and 2014, respectively. Currently beginning a PostDoc with ETH Zurich, Jared has maintained an excellent academic record while devoting a significant amount of time and energy to his numerous leadership, volunteer, research and publication activities.

Research Topics
  • Grid-Scale Energy Storage
  • Compressed Air Energy Storage
  • Linear and Mixed-Integer Programming Optimization
  • Unit Commitment and Dispatch
  • Electric Grid Operation
  • Energy System Modeling

As concerns about global warming, carbon costs, and energy independence are growing, utilities are seeking to implement more carbon-free, renewable energy systems. However, the intermittency of wind and solar power is a major obstacle that energy producers and suppliers are currently burdened with. The additional risks of unexpected interruptions and mismatch with demand have hindered the expansion of these two primary renewable resources. Jared's current research utilizes precise models of electricity system economic dispatch in the Electric Reliability Council of Texas (ERCOT) that include features such as capacity availability, sophisticated treatment of combined heat and power (CHP) plants, emissions and water use rates, and important generator operational constraints such as minimum run times and startup costs. These models are used to investigate the impacts of high wind power penetration, to explore the operation of energy storage in various future market conditions, and to assess the economic and environmental impacts of energy storage. Compressed air energy storage (CAES) is selected for analysis in this work because of its competitive costs, storage capacity, and suitability for deployment in the ERCOT service area. This work follows from his masters research, which included both a thermodynamic and economic model of a novel energy storage configuration in order to quantify the systems performance parameters and economic attractiveness.

  • 20% Wind Project    January 2011-Present
    ~Sponsored by U.S. Department of Energy
    Estimate the impact on the ERCOT electric grid of increased wind generation and the addition of large-scale energy storage. For this analysis unit commitment and dispatch (UC&D) models are used in both the GAMS and PLEXOS modeling languages in order to simulate the complex operation of the ERCOT electricity market. This research has four major goals, which are:

    1. Identify and assess major improvements for existing UC&D models of the ERCOT generating fleet to ensure consistent calibration against historical generator output and market price conditions,
    2. Investigate the impact on the electricity dispatch and market operations of a future high wind generation scenario with the potential to incorporate numerous CAES facilities using a UC&D model of the ERCOT market,
    3. Analyze the influence of future wind generation variability on the dispatch of the ERCOT generating fleet and resulting environmental impacts, and
    4. Evaluate the potential economic feasibility and environmental impacts of a first entrant conventional or adiabatic CAES facility as part of the future ERCOT wholesale electricity market.
  • Dispatchable Solar Wind Storage System (DSWiSS)     August 2008-January 2011
    ~Sponsored by Austin Energy
    Analyse a unique energy storage concept that combines excess night-time wind capacity with peak day-time solar output in a way that would make both wind and solar resources dispatchable during peak demand. The proposed system utilizes CAES that is driven by wind energy and thermal storage supplied by concentrated solar power in order to achieve this desired dispatchability. The use of both thermodynamic and optimization models allow for estimating the performance and operation of such a facility under various electricity market conditions.
to come
  • PhD Mechanical Engineering, The University of Texas at Austin, December 2014
    Dissertation: A Grid-Level Unit Commitment Assessment of High Wind Penetration and Utilization of Compressed Air Energy Storage in ERCOT
  • M.S. Mechanical Engineering, The University of Texas at Austin, December 2009
    Thesis: An Integrated Energy Storage Scheme for a Dispatchable Wind and Solar Powered Energy System
  • B.S. Mechanical Engineering, The University of Texas at Austin, May 2007
  •  Recipient of 2013 ASME Central Texas Mechanical Engineer of the Year, Feb 2014
  •  Recipient of 2013 ASME Old Guard Early Career Award, Nov 2013
  •  Honorable Mention in ASME IMECE 2011 Research Poster Presentation, Nov 2011
  •  Featured Article in Journal of Renewable and Sustainable Energy, Jul 2011
  •  Recipient of 2011 Cockrell School of Engineering Graduate Student Leadership Award, Feb 2011
  •  Recipient of 2010 ASME Central Texas Young Mechanical Engineer of the Year, Apr 2010
  •  Recipient of 2010 UT ME Department Graduate Recruitment Service Award, May 2010
  •  1st Place Winner of ASME Central Texas Student Paper Contest, Apr 2009
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