Bridging Experiments and Simulation in Integrated Energy Systems

Modern energy systems are increasingly complex, requiring both experimental validation and advanced modelling to achieve reliable design, control, and optimization. This Research Topic focuses on the interplay between laboratory infrastructures and simulation-based methods such as digital twins, model predictive control, and hardware‑in‑the‑loop approaches. By aligning experimental insights with simulation data, researchers can better understand system behavior, validate models, and enable efficient operation of multi‑sector energy systems.Goal:The goal of this Research Topic is to showcase integrated approaches that connect experimental setups with numerical simulation and control strategies. We aim to highlight methods that close the gap between theory and real‑world performance, strengthen model validation frameworks, and promote reproducible test environments that support the transition to flexible, low‑carbon energy systems.Scope and information for Authors:We welcome contributions that advance the integration of experiments and simulations in energy systems engineering. Topics of interest include:• Digital twins, model validation, and co‑simulation in multi‑energy systems• Hardware‑in‑the‑loop and software‑in‑the‑loop methods for control and optimization• Experimental infrastructures and test facilities for system validation and sector coupling• Data‑driven models linking experimental and operational datasets for predictive performance Topic editors: Anna Marie Cadenbach, Kai Heussen Source: https://www.frontiersin.org/research-topics/84318/bridging-experiments-and-simulation-in-integrated-energy-systems