Future Power

With a strong history in controls, significant investment in power engineering and a recognized ability in energy storage, data science, and analytics, regional and national partners are actively engaged in addressing grid sustainability and building efficiency in Northern Ohio. Using the Case Western Reserve campus microgrid as a “living laboratory” to test next-generation hardware and software, the Future Power team is in a unique position to pursue interdisciplinary research, development and demonstration opportunities for transformational smart grid solutions.

Learn more about Future Power

 

Strengths

Future Power research builds on numerous strengths and assets:

  • Expertise in distribution system modeling, protection schemes, analysis and control
  • Forecasting and modeling energy markets
  • Experience incorporating emerging technologies and platforms including the Department of Energy’s VOLTTRON package
  • Leading researchers in complementary areas of data analysis and energy storage
  • A campus microgrid­ with multiple renewable energy sources
  • Device development and systems integration   
  • Utility perspective with multi-state energy presence
  • Experience accelerating tech-to- market transition

Opportunities

Opportunities for transforming the grid include robust co-development and integration of:

  • Demand response and load management
  • Agent-based communication
  • Forecasting and modeling
  • Advanced relay protection
  • Distributed energy resources
  • Sensors and data analytics
  • Building energy management

Benefits

  • Sensor systems and data analytics for self-detection, self-diagnosis, self-correction and autonomous control
  • Grid integration of hyper-connected, intelligent and distributed resources, including storage and renewable energy, easing the adoption of new technologies
  • Regional and national leadership in the grid and electricity market

 

Primary Research Led By

  • Profile Photo

    Kenneth Loparo

    Nord Professor of Engineering
    Professor, Department of Electrical, Computer and Systems Engineering
    Faculty Director, Institute for Smart, Secure and Connected Systems

    Develops real-time data analytics and control algorithms for industrial, energy and physiological systems