Hybrid Energy Systems of the Future

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This talk will address the design and control of the wind energy systems of the future ranging from utility-scale wind plants and state-of-the-art wind-based hybrid plants to the control of these variable resources along with millions of devices across vehicles, buildings, and distributed solar. The future energy system will be a carefully orchestrated effort between utility-scale renewable energy and distributed energy resources. A clean energy future requires coordinated control of these technologies and fundamental innovation with state-of-the-art control theory and sensor fusion. Research will be conducted with NREL capabilities being developed at the Advanced Research on Integrated Energy Systems (ARIES)—a state-of-the-art research facility that brings together hardware and software across different domains to match the complexity of modern energy systems. These technologies can seamlessly integrate edge devices, sensor information, and utility-scale generation to go beyond mere convenience and simultaneously improve the quality of life, enhance mobility, optimize grid integrated efficient buildings, and improve the affordability, reliability, and resiliency of the grid in a sustainable way.



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  • Date: 23 Apr 2021
  • Time: 05:00 PM to 07:00 PM
  • All times are (GMT-05:00) US/Eastern
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Apr 23, 2021 04:45 PM Eastern Time (US and Canada)

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Meeting ID: 997 2538 8048
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  • Harrisburg, Pennsylvania
  • United States

  • Co-sponsored by Javad Khazaei (Susquehanna Section PES Chapter Chair) and Gary Smullin (Lehigh Valley PES Chapter Chair).
  • Starts 14 March 2021 10:16 PM
  • Ends 23 April 2021 05:00 PM
  • All times are (GMT-05:00) US/Eastern
  • No Admission Charge


  Speakers

Dr. Jennifer King Dr. Jennifer King of National Renewable Energy Laboratory (NREL)

Topic:

Hybrid Energy Systems of the Future

Biography:

Dr. Jennifer King is a senior research engineer at the National Renewable Energy Laboratory working at the National Wind Technology Center on hybrid system modeling and control.  This includes developing model and real-time distributed optimization capabilities for wind farm control, optimally designing and operating utility-scale hybrid power plants as well as developing a control frameworks for large-scale autonomous energy systems.  Jen obtained her PhD in Aerospace Engineering and Mechanics from the University of Minnesota in 2016 where her primary focus was on reduced-order modeling for wind farm control.  Her current research focus areas are in reduced-order modeling, distributed control/optimization, and co-design.