Optimisation of 5th Generation District Heating and Cooling Networks for different Flow Configurations
Heating and cooling sectors are pivotal in the European Union’s pursuit of climate neutrality by 2050. District heating and cooling networks, in particular the 5th generation, offer a valuable solution for reducing primary energy use and carbon dioxide emissions. This paper delves into the...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SDEWES Centre
2025-06-01
|
| Series: | Journal of Sustainable Development of Energy, Water and Environment Systems |
| Subjects: | |
| Online Access: |
http://www.sdewes.org/jsdewes/pid13.0577
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839646408010891264 |
|---|---|
| author | Anna Dell\'Isola Louis Hermans Lieve Helsen |
| author_facet | Anna Dell\'Isola Louis Hermans Lieve Helsen |
| author_sort | Anna Dell\'Isola |
| collection | DOAJ |
| description | Heating and cooling sectors are pivotal in the European Union’s pursuit of climate neutrality by 2050. District heating and cooling networks, in particular the 5th generation, offer a valuable solution for reducing primary energy use and carbon dioxide emissions. This paper delves into the control optimisation of 5th generation district heating and cooling networks using white-box model predictive control techniques. The aim is to develop a nonlinear model predictive control approach for a 5th generation district heating and cooling network characterised by a directional medium flow and compare it to a non-directional medium flow network also controlled by nonlinear model predictive control. Physics-based models of building envelopes and hydraulics, developed in Modelica, are used. A model predictive control simulation is carried out to investigate the system’s operation and make a comparison of both model predictive controlled 5th generation district heating and cooling networks. Despite being less flexible, the directional configuration achieves lower energy use and good thermal comfort by leveraging fluctuating network temperatures. |
| format | Article |
| id | doaj-art-1faad958d99a4b5facfbae153a2bf8e1 |
| institution | Matheson Library |
| issn | 1848-9257 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | SDEWES Centre |
| record_format | Article |
| series | Journal of Sustainable Development of Energy, Water and Environment Systems |
| spelling | doaj-art-1faad958d99a4b5facfbae153a2bf8e12025-06-30T15:29:26ZengSDEWES CentreJournal of Sustainable Development of Energy, Water and Environment Systems1848-92572025-06-0113211910.13044/j.sdewes.d13.05771130577Optimisation of 5th Generation District Heating and Cooling Networks for different Flow ConfigurationsAnna Dell\'Isola0Louis Hermans1Lieve Helsen2 KU Leuven University, Leuven, Belgium KU Leuven University, Leuven, Belgium KU Leuven University, Leuven, Belgium Heating and cooling sectors are pivotal in the European Union’s pursuit of climate neutrality by 2050. District heating and cooling networks, in particular the 5th generation, offer a valuable solution for reducing primary energy use and carbon dioxide emissions. This paper delves into the control optimisation of 5th generation district heating and cooling networks using white-box model predictive control techniques. The aim is to develop a nonlinear model predictive control approach for a 5th generation district heating and cooling network characterised by a directional medium flow and compare it to a non-directional medium flow network also controlled by nonlinear model predictive control. Physics-based models of building envelopes and hydraulics, developed in Modelica, are used. A model predictive control simulation is carried out to investigate the system’s operation and make a comparison of both model predictive controlled 5th generation district heating and cooling networks. Despite being less flexible, the directional configuration achieves lower energy use and good thermal comfort by leveraging fluctuating network temperatures. http://www.sdewes.org/jsdewes/pid13.0577 fifth generation district heating and cooling (5gdhc); model predictive control (mpc); modelica; directional flow; non-directional flow |
| spellingShingle | Anna Dell\'Isola Louis Hermans Lieve Helsen Optimisation of 5th Generation District Heating and Cooling Networks for different Flow Configurations Journal of Sustainable Development of Energy, Water and Environment Systems fifth generation district heating and cooling (5gdhc); model predictive control (mpc); modelica; directional flow; non-directional flow |
| title | Optimisation of 5th Generation District Heating and Cooling Networks for different Flow Configurations |
| title_full | Optimisation of 5th Generation District Heating and Cooling Networks for different Flow Configurations |
| title_fullStr | Optimisation of 5th Generation District Heating and Cooling Networks for different Flow Configurations |
| title_full_unstemmed | Optimisation of 5th Generation District Heating and Cooling Networks for different Flow Configurations |
| title_short | Optimisation of 5th Generation District Heating and Cooling Networks for different Flow Configurations |
| title_sort | optimisation of 5th generation district heating and cooling networks for different flow configurations |
| topic | fifth generation district heating and cooling (5gdhc); model predictive control (mpc); modelica; directional flow; non-directional flow |
| url |
http://www.sdewes.org/jsdewes/pid13.0577
|
| work_keys_str_mv | AT annadellisola optimisationof5thgenerationdistrictheatingandcoolingnetworksfordifferentflowconfigurations AT louishermans optimisationof5thgenerationdistrictheatingandcoolingnetworksfordifferentflowconfigurations AT lievehelsen optimisationof5thgenerationdistrictheatingandcoolingnetworksfordifferentflowconfigurations |