• CERAWeek
  • March 18 - 22, 2024
  • About

Emre Gençer

MIT Energy Institute (MITEI)

Principal Research Scientist

Dr. Emre Gençer is a principal research scientist at the MIT Energy Initiative (MITEI). The central theme of his research is to develop simulation- and optimization-based energy systems models/software to assess and optimize the design of emerging and conventional energy technologies, their life cycle emissions, techno-economic performance, and their integration into a net-zero greenhouse gas energy system under various policies. He is leading the Energy Systems Modeling group at MITEI. He is the lead developer and chief architect of a novel software platform called Sustainable Energy Systems Analysis Modeling Environment (SESAME), which provides comprehensive cost and sustainability assessment for the converging electric power, transportation, and industrial sectors to decision makers and technology analysts with high technological, temporal and geospatial resolutions. Dr. Gençer has published in numerous peer-reviewed scientific journals including Proceedings of National Academy of Sciences and Nature Scientific Reports, Applied Energy and Energy Policy. Dr. Gençer’s work on developing sustainable energy system concepts such as Hydricity (Hydrogen and Electricity) and SUFEWS (Solar Unbundling of Food, Energy and Water Systems) have been covered by leading technology news networks. His modeling tools and analysis have significantly contributed to EFI’s The U.S. Hydrogen Demand Action Plan and Optionality, Flexibility & Innovation: Pathways for Deep Decarbonization in California studies, MITEI’s Mobility of the Future and Future of Energy Storage Studies. Dr. Gençer received his Ph.D. in Chemical Engineering from Purdue University and his B.Sc. in Chemical Engineering and B.Sc. in Mathematics from Bogazici University in Istanbul, Turkey.

Sessions With Emre Gençer

Tuesday, 7 March

  • 01:30pm - 02:00pm (CST) / 07/mar/2023 07:30 pm - 07/mar/2023 08:00 pm

    Confidence in GHG Estimation

    Credible emissions data is required to enable the market to incorporate emissions into everyday business decisions. The quality of GHG estimates vary, and reliability—particularly around fugitive methane emissions—is also a remaining uncertainty. Meanwhile inconsistencies between corporate reporting approaches can also limit the usefulness of these data sets. What is the state of carbon accounting today? What steps need to occur to improve both our understanding of these datasets and usefulness of information being provided to the market?