Long-term Optimization of Microgrids and Energy Storage
Tuesday, March 19, 2019 | 4:00 - 4:30 pm
This session will discuss strategies for microgrid sizing and techno-economic dispatch optimization based on model predictive control. We will examine the foundations for Enernet Global's optimization models and a number of learnings and challenges in its development and adoption.
Speaker
Stephen Schneider
Chief Information Officer
Enernet Global
Stephen Schneider is the Chief Information Officer at Enernet Global, a 20-person company focusing on microgrid project development with offices in New York, Adelaide, and Manila. Stephen leads a small Systems Engineering team, which develops an internal product called Gridscape for microgrid sizing and techno-economic dispatch optimization based on model predictive control. Stephen holds a Biomedical Engineering undergraduate degree from Boston University and Masters in Civil and Environmental Engineering from Stanford University. There, he focused on the technical and economic aspects of renewable power systems and distributed generation, as well as numerical computing, controls, and modeling. He has worked in a number of sectors, including biofuels (Codexis), electric vehicles (Better Place), software development (MathWorks), and now project development and financing (Enernet).