دورية أكاديمية

Optimal control of a fourth generation district heating network using an integrated non-linear model predictive controller.

التفاصيل البيبلوغرافية
العنوان: Optimal control of a fourth generation district heating network using an integrated non-linear model predictive controller.
المؤلفون: Jansen, Jelger1,2 (AUTHOR) jelger.jansen@kuleuven.be, Jorissen, Filip1,3 (AUTHOR), Helsen, Lieve1,2 (AUTHOR)
المصدر: Applied Thermal Engineering. Mar2023, Vol. 223, pN.PAG-N.PAG. 1p.
مصطلحات موضوعية: *RENEWABLE energy sources, *SUPPLY & demand, HEATING from central stations, PREDICTION models, HEATING, NONLINEAR systems
مستخلص: District heating (DH) can help increasing the share of renewable and residual energy sources in the heating sector. Usually a rule-based controller (RBC) is used for controlling these networks while more advanced control strategies like model predictive control (MPC) can support the transition to a decarbonised heating sector. In this paper, an integrated non-linear MPC approach for the control of DH networks is presented. The main novelties are the consideration of the system as a whole (including the heat demand side) and the inclusion of important non-linearities and all types of flexibility in the controller model of the MPC. A simulation-based methodology and dedicated solver are used in which the MPC is applied to an existing fourth generation DH network. The results of a three-day simulation in both a winter and spring period show that the MPC outperforms the currently used RBC: the thermal discomfort is lower in the winter period and comparable in the spring period while the electrical energy use of the DH system is reduced by 3% and 17%, respectively. The MPC achieves these results by lowering the network temperatures, using its anticipatory ability, and exploiting the flexibility of the building thermal inertia. • Development and assessment of a non-linear MPC as system integrator for a district heating system. • The MPC can exploit all types of flexibility in the district heating system. • The MPC is applied to an emulator model of a real-life district heating system. • Simulation results show that MPC outperforms the existing rule-based controller. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Business Source Index
الوصف
تدمد:13594311
DOI:10.1016/j.applthermaleng.2023.120030