Model predictive control of District Heating substations for flexible heating of buildings
Chapter, Peer reviewed, Conference object
Published version
![Thumbnail](/sintef-xmlui/bitstream/handle/11250/2683181/Pages%2bfrom%2bSProceedings%2bno%2b5-123-S.pdf.jpg?sequence=6&isAllowed=y)
Permanent lenke
https://hdl.handle.net/11250/2683181Utgivelsesdato
2020Metadata
Vis full innførselSamlinger
- Publikasjoner fra CRIStin - SINTEF AS [5802]
- SINTEF Community [2248]
- SINTEF Proceedings [402]
Sammendrag
The potential in cost and energy savings by replacing a feed forward weather compensated control (WCC) controlled radiator system with a linear MPC controller is investigated in a Modelica-Python setup. It is shown that if the MPC is optimized for minimum energy consumption it can reduce the energy consumption by up to 12 %. It is also demonstrated how variable price signal can influence the heat demand profile, and thereby shift energy consumption away from peak hours. By introducing a peak load tariff, it is also possible to reduce the rapid changes and large peaks often caused by optimization-based controllers