2020-07-31 –, Green Track
To increase transparency and partnership opportunities, the Department of Energy funded an open source release of NREL developed REopt. The optimization model that powers REopt was originally written in a domain specific, proprietary modeling language called Mosel. This transition required some python-familiar engineers to learn Julia and the JuMP package. This talk will detail our experience and what we learned along the way.
The REopt™ techno-economic decision support platform is used by the National Renewable Energy Laboratory (NREL) researchers to optimize energy systems for buildings, campuses, communities, microgrids, and more. REopt recommends the optimal mix of renewable energy, conventional generation, and energy storage technologies to meet cost savings, resilience, and energy performance goals.
Josiah is an optimization engineer in the Modeling and Analysis Group in the Integrated Applications Center. He has experience in engineering analysis, data-driven decision support, and applied operations research. Josiah performs techno-economic analysis with REopt, an optimization model focused on integration and distributed energy resources.
Josiah is an advocate for furthering the usage of operations research techniques in engineering disciplines and is a member of the Institute of Operations Research and the Management Sciences (INFORMS).