Heat Consumer Model for Robust and Fast Simulations of District Heating Networks Using Modelica

• Published in: Electronics (Basel) 2024-04, Vol.13 (7), p.1201
• Main Authors: Zipplies, Johannes, Orozaliev, Janybek, Jordan, Ulrike, Vajen, Klaus
• Format: Article
• Language: English
• Subjects: Algorithms; Critical path; Design; Differential pressure; District heating; Green design; Heat exchangers; Hydraulics; Mass flow; Robustness (mathematics); Simulation; Simulation methods; Somatotropin; Sustainable development; Temperature
• ISSN: 2079-9292; 2079-9292
• DOI: 10.3390/electronics13071201

Dynamic thermo-hydraulic simulations of district heating networks (DHN) are essential to investigate novel concepts for their sustainable design and operation. To develop solutions for a particular case study, numerous long-term simulations are required. Therefore, computational effort for simulation is critical. Heat consumers (HC) are numerous and determine the dynamics of mass flows and return temperatures in the DHN. Thus, the way in which HCs are modeled has significant impact on the computational effort and the results of the simulation. This article presents a novel Modelica-based model for HCs that builds on an existing simplified modeling approach (open-loop design). The calculation of mass flow and return temperature is improved in terms of robustness, plausible behavior and low computational effort. In particular, the model reacts to limited differential pressure and supply temperatures to ensure plausible behavior across all operating conditions, including undersupply situations. The model is successfully tested using an exemplary DHN. The analysis proves that the HC model itself requires little time to simulate. Nevertheless, it significantly influences the simulation time for the entire DHN, which varies by a factor of five for the investigated system depending on the HC model. Fast dynamics, including a bypass in the model and correction of deviations between set point and actual heat load increase the simulation time, so users should sensibly choose how to use these options. HC models triggering many state events result in high computational effort. Compared to other simple HC models, the proposed model produces more plausible results while maintaining at least equal simulation performance (for models without bypass) or even improving it (for models with bypass, CPU time is reduced by at least 35%).