Energy Systems and Computational Modeling – Training Services

Energy Systems and Computational Modeling – Training Services provides comprehensive training on simulating and analyzing energy generation, conversion, and storage systems using computational tools. The course covers thermodynamic principles, fluid dynamics, heat transfer, and energy efficiency modeling, implemented in Python and MATLAB. Participants will learn to model power plants, renewable energy systems, batteries, and fuel cells using numerical methods and system-level simulations. Emphasis is placed on performance analysis, optimization, and visualization of energy flows and efficiency metrics. Case studies highlight applications in solar, wind, thermal, and electrical energy systems. Hands-on sessions provide practical experience in coding simulations, analyzing results, and interpreting system behavior for research and engineering applications. By the end, participants will be equipped to design and evaluate energy systems computationally.