NREL hosts events that promote understanding and collaboration on energy systems integration. Through seminars, workshops, and other educational opportunities, industry experts engage with NREL and learn more about key issues for energy systems integration and how the Energy Systems Integration Facility can help meet current and future challenges.
NREL's Energy Systems Integration Seminar Series features speakers from industry-related technical, economic, and social disciplines presenting on critical integration challenges and innovative solutions.
Representatives from NREL discuss a unique opportunity for the integration of hydrogen into multiple sectors, including the transportation, industrial, heating fuel, and electric sectors.
Professor Florian Dörfler of the University of California Los Angeles explores control strategies for microgrids to enable robust plug-and-play operation and maximum flexibility.
Professor David Wenzhong Gao and Dr. Yan Li of the University of Denver investigate the stability characteristics and optimal design of a microgrid using the matrix perturbation theory.
Dr. James McCalley, Harpole Professor of Electrical & Computer Engineering at Iowa State University, describes several infrastructure enhancements for energy and transportation, illustrates the power of computational models for exploring the future, and characterizes different policy approaches for moving these enhancements forward.
Dr. Bryan Hannegan, Vice President, Environment and Renewables for the Electric Power Research Institute talks about innovations, trends, and signposts along the evolution path of the power system of the future.
Learn about a systemic approach for optimal building energy service provision using the Distributed Energy Resources Customer Adoption Model, a mixed integer linear program that minimizes the annual energy costs, carbon emissions, or multiple objectives of providing services to a building-scale microgrid.
Learn about ongoing projects at Pacific Northwest National Laboratory that demonstrate use of a flexible, scalable data analysis environment to develop event detection models from real-world power grid data streams.