Wilton E. Scott Institute for Energy Innovation - Carnegie Mellon University

Over the coming decades the world must make fundamental transformations in how energy is used and produced. That’s where we come in.

The Wilton E. Scott Institute for Energy Innovation at Carnegie Mellon University is focused on:

  • Using and delivering the energy we already have far more efficiently
  • Expanding the mix of energy sources in a way that is clean, reliable, affordable and sustainable
  • Creating innovations in energy technologies, regulations and policies

CMU is uniquely suited for these challenges with our many research centers and longstanding faculty expertise in technology, policy, integrated systems and behavioral science.

What makes us different is our ability to seamlessly combine these areas for maximum impact. Learn more about the institute »

Latest News

Ed Rubin

Will cutting carbon kill coal? Only if the industry fails to adapt

CMU's Ed Rubin outlines how the energy industry can develop new technologies that are economically viable while also successful in achieving long-term cuts in carbon emissions.

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Webinar: Catalyst Connection/Carnegie Mellon University - Innovating for Competitive Advantage: Edible Electronics

On December 5, watch the CMU Scott Institute for Energy Innovation and Catalyst's monthly webinar as Engineering Professor Chris Bettinger discusses his award winning Edible Electronics.

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Capitol Building DC

Event: Successfully Moving Energy Breakthroughs from Lab to Market

Join CMU's Scott Institute and the Center for Clean Energy Innovation on December 10 in Washington DC to learn about tech transfer efforts by leading universities and labs.

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Scott Institute Newsletter

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Meet CMU's Experts

Larry Biegler

Larry Biegler

Biegler's work concerns optimization of pressure swing adsorption for carbon capture, oxycombustion, air separation units and IGCC systems. Nonlinear programming and optimization of differential algebraic systems.

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Mario Berges

Mario Berges

Berges' interests surround infrastructure monitoring, building energy management, smart grid, machine learning for signal processing, and sensor networks.

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