RESCOM
In this project a model-based data mining approach is applied to develop and calibrate a comprehensive and compact model for renewable energy heating systems. The physics-based simulation tool Polysun serves as a forward solver in this project and, with its broad customer range, to disseminate research results after the project. A new approach to simulation results is developed, which outperforms every other model in terms of computational efficiency.
The final results of this research will likely be implemented in a real-time design feature into Polysun, which allows a large user range to do close-to-reality yet efficient system optimizations for solar energy applications.
Research Objectives
The project pursues a model-based data mining approach to cover a comprehensive range of renewable energy heating systems. The physics-based simulation tool Polysun is used as a forward solver throughout this project. The parameter space for renewable energy based heating systems is analyzed and reduced by extracting a minimal yet sufficient quantity of information. An intermediate but nonetheless major scientific objective is to obtain a systematic collection of data for renewable energy heating systems. The key result, includes the compact model that is developed with both the heating system know-how as well as with the mathematical analysis of representative test systems calculated with Polysun.