2017
DOI: 10.1016/j.ijheatmasstransfer.2016.11.033
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Grey-box model for pipe temperature based on linear regression

Abstract: 10Developing mathematical models describing pipe (or duct) temperature is of great 11 importance, since pipes are unavoidable elements in most (hydraulic) heating systems, in 12 which some heat transfer fluid flows/circulates between neighbouring working components 13 (such systems are district, central or solar heating systems, etc.). 14In the present study, the Newton's law of cooling is completed with a recent explicit equation

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Cited by 16 publications
(25 citation statements)
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“…Eqn. (31) reveals a similar structure as the heuristic DDE-model (10). 4 Apart from the different constants k i there is an additional term involving input temporal derivative, which is induced by a feedthrough of the input temperature in the physical based approach.…”
Section: Approximation As Delay-differential Equationmentioning
confidence: 90%
See 2 more Smart Citations
“…Eqn. (31) reveals a similar structure as the heuristic DDE-model (10). 4 Apart from the different constants k i there is an additional term involving input temporal derivative, which is induced by a feedthrough of the input temperature in the physical based approach.…”
Section: Approximation As Delay-differential Equationmentioning
confidence: 90%
“…As a consequence, the overall structure of the transfer function is similar to the structure of the DDE-model (10) discussed in Section 2.3. The main difference is constituted by the filter part G 3 (z, s) replacing the simple first-order low-pass filter in the DDE-model (10). In order to compute the impulse response of this filter, i.e., transforming the input-output relation associated with G 3 (z, s) into the time domain, the transfer function is expanded into a power series:…”
Section: Constant Flow Rate and Perfect Isolationmentioning
confidence: 99%
See 1 more Smart Citation
“…These problems include thermodynamic analysis models (Sheng & Tu, 2013;Bolatturk, 2006;Kalema et al, 2008;Stepanov et al, 2000;Valero, 2014;Torío et al, 2009;Romero & Linares, 2014), heat power system models (Goryachikh et al, 2010;Kicsiny, 2014;Bau et al, 2015;Kicsiny, 2017), combustion models (Messerle et al, 2013;Messerle et al, 2014;;Gao et al, 2010;Karpenko et al, 2016), local heat exchange system models (e.g., solar collectors (Kaminski & Krzyzynski, 2016;Hussain et al, 2016;Bég et al, 2016;Li & Chen, 2008;Smith et al, 2012;Thianpong et al, 2012), etc.…”
Section: Introductionmentioning
confidence: 99%
“…A solution is considered as a gradient process and no direct linear dependence is given. Richard Kicsiny discusses modern mathematical models of a piped heat system in his latest studies (Kicsiny, 2014;Kicsiny, 2017) based on differential equations of the Newton's law for pipe cooling. A rather common problem is building dynamic models of municipal heat networks to improve their efficiency.…”
Section: Introductionmentioning
confidence: 99%