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Etan Gumerman

Lead Analyst

Etan is Greenlink Analytics’ Lead Analyst. He comes with over 20 years of experience in energy policy, modeling, and systems analysis. His expertise is in energy modeling, technical communication, and power sector strategy. Etan taught Duke University’s graduate-level course for energy modeling and worked extensively advising graduate students.


At Duke University’s Nicholas Institute for Environmental Policy Solutions, he led large and small-scale clean energy and climate policy research projects including Energy Efficiency in the South, an assessment of cost-effective energy efficiency potential in the South. Etan’s background is in engineering and policy. Before joining the Nicholas Institute, he was the lead energy modeler at Lawrence Berkeley National Laboratory. At Berkeley, he led the analysis for the Scenarios for a Clean Energy Future project, coordinating the efforts of scientists at five national laboratories. Etan currently serves on the Southeast Energy Efficiency Alliance’s policy committee.

Etan Gumerman
PUBLICATIONS

Brankovic, S. Lacayo, C. McDonald, S. Spratling, D. Gumerman, E. Madhavan, S. Hopkins, M.J. & Cox, W.M. (2022). Oklahoma City, The Big Friendly’s decreasing energy burden from 2013–2018: A series highlighting most improved cities. Atlanta, GA: Greenlink Analytics: Publications. https://www.greenlinkanalytics.org/_files/ugd/4aef44_a56bfc37dfad430e90af7304799232c0.pdf


Cox, W.M., Gumerman, E., James, J.-A., & McDonald, S. (2021, May 25). Pathways to rapid

reductions in Virginia’s transportation emissions. Atlanta, GA: Greenlink Analytics. https://www.georgetownclimate.org/files/report/Final_VA-Transportation-Policy-Phase2_05212021.pdf


Greenlink Analytics. (2021). Michigan’s energy transition: Leading innovation toward Michigan’s 100% clean grid. Atlanta, GA: Greenlink Analytics: Publications. https://www.greenlinkanalytics.org/_files/ugd/4aef44_8f9e6f042abd4bef90fbb5a4edaa0c3f.pdf


Gumerman, E. & Vegh, T. (2018, November 15). Modeling energy efficiency as a supply resource: a bottom-up approach. Energy Efficiency, 12, 1737-1749. https://doi.org/10.1007/s12053-018-9740-7

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