Understanding the dynamics of solar energy systems by using simulation narratives

Abstract

In this paper, we discuss the application of modern didactic approaches to solar energy education. We focus on the dynamics of decentralized energy systems and solar thermal applications. In order to bridge the gap between theory and practice, students are engaged in investigating solar systems in numerical analysis combined with hands-on laboratory exercises. Our learning material includes simulation software and state-of-the-art analysis tools for the post-processing of log data. We recognize similarities in the students’ cognitive processes when they do simulations in one part of their practical work and hardware experiments in the other part. In both cases, the narrative nature of the processes are a key to a fundamental understanding of the underlying physics. For both the simulation approach as well as the hardware experiments, students train to explain the physical processes in words: Simulation software and hardware laboratory equipment are the “story worlds” and a specific simulation run or a measurement experiment is the “story” (Fuchs 2015). Consequently, students at the same time practice clearly phrasing their observations and extend their expertise in solar energy. They also train abilities like system modeling, parameter validation, and practical skills like the handling of large data amounts typically produced by logging devices. We conclude that a narrative approach helps to thoroughly understand the controller strategies in solar systems with all its consequences and at the same time enables solar engineers for successful communication with the various players