Charlie Gulian joined E3 in 2020 after completing a combined bachelor’s/master’s program in Applied Mathematics at Johns Hopkins University. He works primarily with the bulk grid group at E3. Mr. Gulian has used E3’s RECAP and RESOLVE models to study resource adequacy for utilities in the Southwest U.S. and develop a U.S.-wide capacity expansion model. He takes an active role in developing E3’s in-house models, advancing the firm’s ability to model climate change impacts in resource planning work, or formulating new capacity expansion models that better represent the value of long duration energy storage technologies. Charlie has research experience in resource planning and has studied scenario-based capacity expansion models using Pyomo, a Python optimization library.
In his work at E3, Charlie enjoys using math and statistics to find elegant solutions to problems in the resource planning space. He is driven by a desire to help utilities and public agencies plan to adapt to and mitigate the effects of climate change, which he views as both a crisis and an opportunity to restructure the world’s economic systems for the better.
Charlie appreciates E3’s collegial atmosphere and loves working with people who are so passionate about energy and consulting. In his free time, Charlie enjoys running, fishing, and sailing on the Hudson River.
Education: BS / MS, The Johns Hopkins University, Applied Mathematics and Statistics
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