A large number of individual components, whose state needs to be controlled depending on the operating conditions, are at work within a solar thermal system. System simulation provides findings which, above all, help optimize the strategy used to control individual components whose performance is strongly characterized by dynamic conditions. Control concepts for the system as a whole need to be developed in order to ensure optimized operation.
While models never correspond fully with reality, they have to reflect it as closely as possible. To create optimum models, we integrate the extensive experience gathered through experimental investigations into the process of abstraction. A whole range of different test benches at Fraunhofer ISE are able to create the models needed to characterize components and systems. Theoretical analyses play an equally important part. We at Fraunhofer ISE have particular expertise in control engineering and numerical analyses.
We measure entire systems and are able to use model-based evaluations to examine and optimize them under different physical conditions and without looking at climatic and user data.
The objective of optimization always needs to be established before the optimization process begins. In addition to taking purely economic considerations into account, we also carry out environmental assessments. These show the best way of combining solar thermal heat generators with other heat generators, and highlight which environmental effects different combinations are likely to produce.
Thanks to our many years of practical experience and our thorough theoretical knowledge, we are able to confidently interpret measurement data and make suggestions for the improvement of components, connections and control strategies.