2017
DOI: 10.1080/1573062x.2017.1325501
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Development and validation of a drinking water temperature model in domestic drinking water supply systems

Abstract: Domestic drinking water supply systems (DDWSs) are the final step in the delivery of drinking water to consumers. Temperature is one of the rate-controlling parameters for many chemical and microbiological processes and is, therefore, considered as a surrogate parameter for water quality processes. In this study, a mathematical model is presented that predicts temperature dynamics of the drinking water in DDWSs. A full-scale DDWS resembling a conventional system was built and run according to one year of stoch… Show more

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Cited by 25 publications
(31 citation statements)
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“…Drinking water temperature in the domestic drinking water installation can increase due to pipes installed through heated rooms or nearby heat sources [36,37]. Zlatanovic, et al [14] developed a model to simulate the temperature in DDWSs. The model showed that inlet water temperature and ambient temperature both have a large effect on the water temperature at the household tap.…”
Section: Drinking Water Temperature In the Domestic Drinking Water Inmentioning
confidence: 99%
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“…Drinking water temperature in the domestic drinking water installation can increase due to pipes installed through heated rooms or nearby heat sources [36,37]. Zlatanovic, et al [14] developed a model to simulate the temperature in DDWSs. The model showed that inlet water temperature and ambient temperature both have a large effect on the water temperature at the household tap.…”
Section: Drinking Water Temperature In the Domestic Drinking Water Inmentioning
confidence: 99%
“…Water quality and hydraulics in the DWDS have been extensively studied [5][6][7][8][9]. Although little is known in practice, research has been conducted to model temperature changes in the DWDS and to determine delivered water temperature at the customer [10][11][12][13][14]. Temperature is an important determinant of water quality, since it influences physical, chemical and biological processes, such as absorption of chemicals, chlorine decay [15] and microbial growth and competition processes [8].…”
Section: Introductionmentioning
confidence: 99%
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“…The detailed description of the experimental methodology, including (1) mimicking the real water consumption during the experimental run, (2) overnight stagnation experiments, (3) sampling of (fresh and stagnant) water and biofilms, (4) chemical and microbial analysis of (fresh and stagnant) water and biofilm samples, and (5) statistical analysis, is given in our previous work (available via Open Access) [21,27]. .…”
Section: Description Of the Ddws Experimental Rigsmentioning
confidence: 99%
“…Wong et al [91] developed an algorithm correlating the water supply pipe temperature for shower use to ambient outdoor air temperature and observed that water supply pipe temperature was consistently higher. Zlatanovic et al [92] mathematically modelled the temporal change of water temperature inside pipes by solving the energy balance between the source water temperature and ambient air temperature using pipe characteristics and the physical properties of water and air. This study observed that the heat exchange between water and air through the pipe wall was the most dominant transfer process.…”
Section: Cwt In Wre Modellingmentioning
confidence: 99%