Malte Stienecker, Ruhr-Universität Bochum

Impact of ANN Heat Demand Prediction Errors on the Flexible Operation of CHP Systems

This project aims to design a prediction model, optimize an operation plan and simulate systems operation. Simulation is necessary due to mismatches between predicted and actual heat demand. The goal is to understand the influence of heat demand prediction errors on a exible operation of combined heat and power systems (CHP systems). The simulation additionally reveals what actions could either be taken to react on prediction errors during operation or to avoid complications beforehand. Based on these results the solution space of optimization is going to be limited in order to avoid interventions during operation plan realisation. Thereby the question is addressed whether prediction errors can be acknowledged during operation planning fruitfully for systems operation.