MIT Energy Initiative

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Computational modeling tools for promoting low-carbon electricity
Jan/24 Mon 09:00AM–01:00PM
Jan/25 Tue 09:00AM–01:00PM
Jan/26 Wed 09:00AM–01:00PM
Jan/27 Thu 09:00AM–01:00PM
Jan/28 Fri 09:00AM–01:00PM

Monday, January 24-Friday, January 28, 9:00 am - 1:00 pm ET each day (5 classes)
Location: E51-376
Register by January 19. Email Pablo Duenas ( and Karen Tapia-Ahumada (
More information

This 5-session intensive activity presents power system analysis techniques that will help in modeling and understanding the role of electric power systems in a carbon-constrained economy. The massive deployment of intermittent renewable energy sources (RES), the anticipated surge of active demand response or the development of smart grids are among the challenges that must be faced by the mathematical models for optimization, analysis and simulation of the complex decision-making processes in power systems. Apart from a theoretical description of the models, the instructors will provide the students with a collection of prototypes that will allow them to run study cases and to understand the effect of the different mathematical formulations on the outcomes. The use of these models in some real-world applications will also be presented.
Part I: Economic dispatch
      1. Economic dispatch and unit commitment with RES
      2. Stochastic unit commitment with RES
Part II: Operation planning
      3. Mid-term hydro-thermal coordination
      4. Deterministic and stochastic model
Part III: Microgrids
      5. Microgrid design
      6. Resiliency through multi-microgrid 
Part IV: Generation expansion planning 
      7. Generation expansion planning
      8. GenX model
Part V: Transmission expansion planning 
      9. Transmission expansion planning
    10. openTEPES model
Prerequisites: None (some GAMS/Python familiarity is helpful)
Limited enrollment: 30 participants


Jan/20 Thu 03:30PM–05:30PM

The En-ROADS Climate Workshop helps build support for strategies to address climate change via interactive testing of the cutting-edge simulation model En-ROADS. The resulting experience is hopeful, scientifically-grounded, action-oriented, and eye-opening.

The workshop has been run for the U.S. Congress, Stattnet in Norway, a community group in Atlanta, the Energy Transition Forum in London, HSBC bank, the U.S. Climate Action Network, the UN Secretary-General’s Office, and many others. Participants at GreenBiz 2020 rated it the best session of the conference.

Due to increases in Covid rates, this event will now be on Zoom.  

Please sign up for the workshop in the form below and include your email so that we can send you a Zoom link: 

Leading the Energy Transition - IAP non-credit course
Jan/05 Wed 04:00PM–06:00PM
Jan/12 Wed 04:00PM–06:00PM
Jan/19 Wed 04:00PM–06:00PM
Jan/26 Wed 04:00PM–06:00PM

Leading change is never easy but the goal of global decarbonization requires a different approach than the traditional approaches.  Although technical innovations are necessary, they are not sufficient to bring about the global energy transition.  

In the 2022 version of this mini course, we have invited some energy transition leaders from academia/education, industry, government and utilities to inspire us and share their latest strategies in accelerating the energy transition. 

Guest speakers will include:

  • Professor Chris Knittel, Deputy Director, MIT Energy Initiative
  • Professor John Deutch, emeritus Institute Professor in the Chemistry Department
  • Joanna Troy, J.D., Director, Energy Policy and Planning at Commonwealth of Massachusetts
  • Dr. Robert Ethier, Vice President, System Planning, ISO New England
  • Dr. Lene Hviid, Global Key Accounts Manager, Shell Energy
  • Dr. Emre Gencer, Research Scientist, leader of the Sustainable Energy System Analysis Modelling Environment (SESAME), MIT Energy Initiative
  • Dr. Howard Gruenspecht, Senior Energy Economist at MIT Energy Initiative, with many years of experience at IEA, DOE and the White House

The class will meet Wednesdays, 4-6 pm on January 5, 12, 19 and 26. 

To register for the class, please fill out the survey: