Simulation Results of SMARTDORF CROSS-SIMULATION (AIT-EDF)
Simulation Results of SMARTDORF CROSS-SIMULATION (AIT-EDF) - title
Simulation Results of Smartdorf Cross-Simulation (AIT-EDF)
Simulation Results of SMARTDORF CROSS-SIMULATION (AIT-EDF) - setup
Simulation Setup & Configurations
- System Configuration: Smartdorf reflects the virtual energy situation of a fictional rural village in Austria. It is hosting a small number of residential homes, offices and workshops. A high share of the building stock is connected to a district heating network that is supplied by a central gas-fired boiler. Generation from rooftop photovoltaic power plants covers a significant part of the annual electric energy demand. Electric boilers are installed in the district heating network with the aim to further increase the self-consumption of photovoltaic generation at a network scale.
- Use-case: The Smartdorf cross simulation is primarily used to evaluate and improve the PreCISE approach to exchange model experience and parts of models. Furthermore, it is used to demonstrate the potential of energy domain coupling by utilizing electric boilers to use excess electric power and convert it to heat. The electric boilers in the system are used to connect the district heating and the electrical distribution network. To achieve an optimal operation of the electric boilers a model predictive control (MPC) scheme is used as a control system model. The models used in the MPC approach have a low -fidelity to enable the use of linear programming approaches. This lowers the computation time significantly, however, introducing discrepancies between physical and control model. It is assumed that influences of these discrepancies are limited as the control model is frequently updated with the current states of the physical model. Perfect predictions for disturbances are used within the MPC model.
Simulation Results of SMARTDORF CROSS-SIMULATION (AIT-EDF) - goals
The methodological approaches for simulation and optimization developed by the two partners AIT and EDF differ on multiple levels. While EDF specializes in design optimization, the AIT is specialized in co-simulation of network structures and system control.
Hence, in the Smartdorf cross-simulation approach, EDF optimizes the design (capacity) of integrated heat storage and conversion components (boilers) and AIT optimizes the integration of the boilers into the grid and its controllability
Simulation Results of Smartdorf Cross-Simulation (AIT-EDF)- analysis
Simulation Results of SMARTDORF CROSS-SIMULATION (AIT-EDF) - workflow
Description of Tasks and Workflow
The practical realization of the PreCISE approach is described in Fig. 2. In the exchange phase, AIT extracts the relevant information for modelling Smartdorf and summarizes the information in the PreCISE templates, along with a concise input data set and a test case. This system description is transferred to and modelled by EDF in their specific tool-chain. EDF optimizes the total conversion and storage capacity of the boilers in the system design phase and transfers the results back to AIT. AIT integrates the total conversion and heat storage capacity and validates the controllability of the heat network in the control validation phase.