Suchergebnisse

This deliverable reviews and describes the possible objective functions in the MPC formulation for the hybridGEOTABS concept. Model Predictive Control implies the recurring use of an optimization problem in the discrete time which aims to minimize a cost or objective function. In building HVAC applications, typical objectives are the minimisation of the energy use, energy cost or CO2-emissions, while maintaining the indoor environmental quality and thermal balance of the geothermal borefield. Alternative objectives are discussed, such as the peak power, share of RES, flexibility etc. ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 723649

This report documents the software and hardware implementation of Model Predictive Controls (MPC) in hybridGEOTABS demonstration buildings in Europe. The MPC construction and the framework for the practical implementation are explained, for white-box and grey-box MPC approaches. Then, the particularities of the implementation of the MPCs in the demonstration buildings is discussed, including a description of the control variables. Finally, the first observations of the behaviour and performance of the MPC are discussed ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 723649

This deliverable documents the prefabrication and pre-engineering requirements of the hybridGEOTABS (key) modules, while considering the interaction and integration of the components in the system. The efficient integration of hybridGEOTABS in all stages of the building process is discussed. Example hydraulic schemes of the concept are developed and explained, as well as generic component specifications for tendering. ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 723649