Energy Systems Simulation and Digital Twins

Computer simulation is central to energy system planning and operational decision-making. This course introduces advanced concepts and notions of modeling and simulation applied to energy systems. The course is divided into four themes: energy systems simulation, co-simulation, digital twins, and stochastic simulation. The first theme presents energy systems simulation concepts, including the different time-domain simulation models (dynamic, steady-state, scenario-based). In the second theme, challenges related to integrating different simulation models are presented, including topics such as data exchange, standardization, and APIs. The third theme presents the concept of digital twins, providing a detailed architecture for its implementation. The difference between digital twins and (co)simulation models is also presented. Finally, the fourth theme presents how to represent uncertainty when modelling and an introduction to Montecarlo simulation.

The grade is formed based on the student's and team’s performance. A half-way project presentation is organized in Week 5 (Practicum 5) to monitor progress and provide feedback, accounting for 20% of the final grade. The final project report accounts for 60% of the final grade, while a short project presentation (oral exam) account for 20% of the final grade. In order to successfully complete the course, the students need to score a passing grade on all project aspects and during the oral exam. All students must participate in the completion of milestones. The final report is a document that combines the content of all intermediate milestones. Submission of the final report is mandatory for a passing grade.

In case of an insufficient final result, repair options may exist in accordance with Article 2, Examination Requirements, Clause 4, of the Implementation Regulations 2025-2026.