TY - JOUR
T1 - Smart control of interconnected district heating networks on the example of “100% Renewable District Heating Leibnitz”
AU - Kaisermayer, Valentin
AU - Binder, Jakob
AU - Muschick, Daniel
AU - Beck, Günther
AU - Rosegger, Wolfgang
AU - Horn, Martin
AU - Gölles, Markus
AU - Kelz, Joachim
AU - Leusbrock, Ingo
PY - 2022/5
Y1 - 2022/5
N2 - District heating (DH) networks have the potential for intelligent integration and combination of renewable energy sources, waste heat, thermal energy storage, heat consumers, and coupling with other sectors. As cities and municipalities grow, so do the corresponding networks. This growth of district heating networks introduces the possibility of interconnecting them with neighbouring networks. Interconnecting formerly separated DH networks can result in many advantages concerning flexibility, overall efficiency, the share of renewable sources, and security of supply. Apart from the problem of hydraulically connecting the networks, the main challenge of interconnected DH systems is the coordination of multiple feed-in points. It can be faced with control concepts for the overall DH system which define optimal operation strategies. This paper presents two control approaches for interconnected DH networks that optimize the supply as well as the demand side to reduce CO2 emissions. On the supply side, an optimization-based energy management system defines operation strategies based on demand forecasts. On the demand side, the operation of consumer substations is influenced in favour of the supply using demand side management. The proposed approaches were tested both in simulation and in a real implementation on the DH network of Leibnitz, Austria. First results show a promising reduction of CO2 emissions by 35% and a fuel cost reduction of 7% due to better utilization of the production capacities of the overall DH system.
AB - District heating (DH) networks have the potential for intelligent integration and combination of renewable energy sources, waste heat, thermal energy storage, heat consumers, and coupling with other sectors. As cities and municipalities grow, so do the corresponding networks. This growth of district heating networks introduces the possibility of interconnecting them with neighbouring networks. Interconnecting formerly separated DH networks can result in many advantages concerning flexibility, overall efficiency, the share of renewable sources, and security of supply. Apart from the problem of hydraulically connecting the networks, the main challenge of interconnected DH systems is the coordination of multiple feed-in points. It can be faced with control concepts for the overall DH system which define optimal operation strategies. This paper presents two control approaches for interconnected DH networks that optimize the supply as well as the demand side to reduce CO2 emissions. On the supply side, an optimization-based energy management system defines operation strategies based on demand forecasts. On the demand side, the operation of consumer substations is influenced in favour of the supply using demand side management. The proposed approaches were tested both in simulation and in a real implementation on the DH network of Leibnitz, Austria. First results show a promising reduction of CO2 emissions by 35% and a fuel cost reduction of 7% due to better utilization of the production capacities of the overall DH system.
KW - district heating
KW - interconnection
KW - bidirectional heat exchange
KW - smart control
KW - energy management system
KW - demand side management
KW - model predictive control
KW - Bidirectional heat exchange
KW - Demand side management
KW - District heating
KW - Model predictive control
KW - Interconnection
KW - Energy management system
KW - Smart control
UR - http://www.scopus.com/inward/record.url?scp=85128211224&partnerID=8YFLogxK
U2 - 10.1016/j.segy.2022.100069
DO - 10.1016/j.segy.2022.100069
M3 - Article
SN - 2666-9552
VL - 6
JO - Smart Energy
JF - Smart Energy
M1 - 100069
ER -