Skip to main content
University of Texas at Austin Home
CEMCEM logo
Menu
University of Texas at Austin Home
The University of Texas at Austin
CEM
  • Twitter
  • LinkedIn
  • YouTube
  • Director's Message Expand
  • Programs Expand
    • EM Launch
    • Oil and Gas
    • Rotating Machines
    • Grid Solutions
    • Alternative Fuels
    • Electro-Mechanical Systems
  • Core Capabilities Expand
    • Energy Storage
    • Advanced Materials
    • Power Electronics
    • Control Design
    • Prototype Design
    • Electromagnetics
  • Facilities Expand
    • High-Bay
    • Microgrid
    • Composite Winding
    • Motors Lab
    • Power Electronics
    • Hydrogen Bus Lab
  • Video Library Expand
  • Publications Expand
  • Contact Expand
  • Home
  • GS - Past Projects

GS - Past Projects

For More Information Contact:

Dr. Robert Hebner

Dr. Robert Hebner - r.hebner@cem.utexas.edu
512-232-1628

Projects

Green Ship

CEM is investigating technologies to help ship owners operate their fleets in a more fuel-efficient, reliable manner which is synergistic with a global push for lower-emission marine transportation.

Electric Ship

The Center for Electromechanics has a major research program to improve electric ship technology.

Smartgrid / Microgrid

A smartgrid is a portion of a larger electric power system that embraces a high concentration of measurement, communication, and control.

Power System Simulation Environment for Combat Utility Reliability (PS-SECURE)

A computer program to enhance field operations of military microgrids post- deployment. Helps overcome issues related to excessive fuel demand and waste, operating microgrids by un-trained personnel.

Semikron Converter

This Flexible Power Conversion System grant to will fund the procurement of one PowerModule PM3000 Developer Kit, six PM3000 Converters

Nome Power Grid Evaluation

Collaborators at the University of Texas at Austin Center for Electromechanics and the University of Alaska at Fairbanks developed frequency-stability margins to maintain proper operation of Nome’s power system and used a computer model to validate the predictions.

Back to Grid Solutions

CEMmain_logo
  • Twitter
  • LinkedIn
  • YouTube
  • Cockrell School of Engineering
  • CEM Research Sponsors
  • PRC Map
  • Research News
  • UT Directory
  • Give to CEM
  • UT Austin Home
  • Emergency Information
  • Site Policies
  • Web Accessibility Policy
  • Web Privacy Policy
  • Adobe Reader

© The University of Texas at Austin 2023