Smart control of interconnected district heating networks on the example of “100% Renewable District Heating Leibnitz”

Kaisermayer, Valentin; Binder, Jakob; Muschick, Daniel; Beck, Günther; Rosegger, Wolfgang; Horn, Martin; Gölles, Markus; Kelz, Joachim; Leusbrock, Ingo

doi:10.1016/j.segy.2022.100069

Cited by 8 publications

(1 citation statement)

References 14 publications

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“…Ge et al [5] proposed a variety of heating strategies developed based on an iterative approach for hourly mass regulation of primary heating networks, and the proposed user-following heating strategy section saved 25.27% energy compared to the all-day heating strategy, and further proposed five different heating strategies, i.e., all-day constant heating, inverted triangular, step, trapezoidal, and parabolic, to achieve energy savings in the practical application of heating systems operation. Valentin Kaisermayer et al [22] presented two control methods for interconnected DH networks that optimized the supply and demand sides to reduce CO 2 emissions. On the supply side, an optimization-based energy management system defined operating strategies based on demand forecasts.…”

Section: Introductionmentioning

confidence: 99%

Anti-Disturbance Integrated Control Method and Energy Consumption Analysis of Central Heating Systems Based on Resistance–Capacitance Reactance

Jin,

Shi,

et al. 2023

Sustainability

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Under the dual carbon strategy, with the frequent occurrence of extreme weather and the further increase in uncertainty of multi-user behavior, it is urgent to improve the stability of the heating systems and reduce heating energy consumption. Aiming at the problem of fault-disturbance control of the multi-user heating network in an integrated energy system, this paper proposes a novel analysis method of resistance–capacitance reactance based on the circuit principle to construct a dynamic thermal-power-flow model of the whole link of the multi-user heating network and analyze the fault-disturbance propagation characteristics of the heating network by this model. It shows that the difference in disturbance characteristics of different users in a multi-user heating network mainly depends on the characteristics of the heating pipeline between the heat user and the heat source, which provides a necessary basis for formulating intelligent control strategies against fault disturbance. Finally, taking a typical daily outdoor temperature in Beijing in winter as an example, this paper compares two different heating strategies and the blocker installation methods of the multi-user heating network to obtain a better heating strategy under actual conditions. Considering the heating fault disturbance, this paper proposes a novel intelligent heating strategy whose heating temperature will decrease during the fault-disturbance time, with an energy saving of about 16.5% compared with the heating strategy under actual conditions during the same period.

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Section: Introductionmentioning

confidence: 99%