2011
DOI: 10.3846/13923730.2011.553936
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Dynamic Temperature Simulation in District Heating Systems in Denmark Regarding Pronounced Transient Behaviour / Danijos Šilumos Tiekimo Sistemų Modeliavimas, Įvertinant Nestacionarų Temperatūros Pasiskirstymą Tinkle

Abstract: Abstract.A dynamic performance of district heating systems was analysed with an emphasis on temperature profile distortion throughout a heating system network. Therefore, a modelling approach (the so-called node method) developed at the Technical University of Denmark was applied. For comparison purposes, commercial TERMIS software was also used in this work. Typical supply conditions were investigated in the considered district heating systems in Denmark. Large and sudden temperature changes in supply tempera… Show more

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Cited by 27 publications
(13 citation statements)
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“…On the other hand, Gabrielaitiene has provided major contributions through several studies comparing the node method with other modelling approaches [20], using the commercial software TERMIS [21][22][23] and DH monitoring data [24]. The main outcomes of these comparisons are significant discrepancies between the simulated temperatures and the monitored ones at distant points of the networks that are reached after passing through several bends and connections.…”
Section: Previous Workmentioning
confidence: 99%
“…On the other hand, Gabrielaitiene has provided major contributions through several studies comparing the node method with other modelling approaches [20], using the commercial software TERMIS [21][22][23] and DH monitoring data [24]. The main outcomes of these comparisons are significant discrepancies between the simulated temperatures and the monitored ones at distant points of the networks that are reached after passing through several bends and connections.…”
Section: Previous Workmentioning
confidence: 99%
“…The proposed scheme in this section is presented based on the multi-energy system in Figure 1, which has an IEEE 33-bus electrical distribution network [59], Madumvej 15-node thermal network [60], and a 4-node gas network [6]. The base power for electrical, thermal, and gas networks is 1 MVA, 1 MW, and 1 MW, respectively.…”
Section: Problem Datamentioning
confidence: 99%
“…The lower and upper limits of these parameters are 0.9 and 1.1 per unit. The data of the mentioned networks, including lines, substations, and load values, are reported in [6,59,60]. The active and reactive peak load of the electrical network are 3.715 MW and 2.3 MVAr, respectively, and the peak thermal load for the thermal network is equal to 3 MW [59,60].…”
Section: Problem Datamentioning
confidence: 99%
“…In this case, we will solve the problem of heat transfer in zone-inhomogeneous medium. Let's compile for the aforementioned case a relevant system of differential and algebraic equations of heat balance, heat exchange, and the heat flow released due to internal friction [11]:…”
Section: Statement Of the Problem And Mathematical Modelmentioning
confidence: 99%