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Monthly Archives

September 2018

Vallidation of an Ice Storage Model and its Integration into a Solar-Ice System

By | Publikationen

Ice storages allow the storing of solar heat in a compact volume for the later use as source for a heat pump that provides heat for a building. In the paper a novel ice storage with 2 m3 water volume is described which contains heat exchanger plates for extracting the latent heat. Most of the components of the storage are made of stainless steel ensuring a long service life time. We present a detailed numerical model for heat exchanger plates that was implemented into the system simulation software Polysun. The model allows now for the first time to simulate ice storages with heat exchanger plates in Polysun. The accuracy of the modelling approach is evaluated based on lab measurements. The new ice storage model was implemented into a system simulation template in Polysun which was designed according to a field installation. The field installation includes three of the novel ice storages and will be used for the validation of the system template. The system template can be used as a design tool for solar-ice systems.

 

>> Download PDF (Paper EuroSun 2018)

BIM Use-Case: Model-Based Performance Optimization

By | Publikationen

This contribution demonstrates the application of a building information modeling (BIM) use case including solar thermal collectors, photovoltaics (PV) and passive solar heating. It aims to close the performance gap that results from inconsistencies between the individual planning phases. Furthermore, it is shown how the pairing of the building project with a digital twin allows to set up predictive maintenance services and minimize the downtime of heating systems. Simulation software is used to create coupled models of the building and its facilities. For a case of PV combined with a heat pump and passive solar heating, this paper shows how the digital model is continuously and automatically updated as conditions change. With a focus on the building’s energy demand, control parameters are optimized in alignment with the hardware. Thus, the energy demand is kept within the close range of the original estimation throughout the standard planning phases.

 

>> Download PDF (Paper EuroSun 2018)