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12th International Symposium on District Heating and Cooling

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The <str<strong>on</strong>g>12th</str<strong>on</strong>g> <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Symposium</str<strong>on</strong>g> <strong>on</strong> <strong>District</strong> <strong>Heating</strong> <strong>and</strong> <strong>Cooling</strong>,September 5 th to September 7 th , 2010, Tallinn, Est<strong>on</strong>iaWhere i is c<strong>on</strong>stant, ii is temperature dependent <strong>and</strong> iiiis mass flow dependent. In this study <strong>on</strong>ly mass flowdependency was c<strong>on</strong>sidered, since it has been shownby previously by [15] that the temperature dependencycan be neglected. The relati<strong>on</strong> for the heat transfercoefficient can therefore be written as(5)The effect of the empirical relati<strong>on</strong>s can be seen inFigure 2. It can clearly be seen that including theempirical relati<strong>on</strong>s really helps to reduce the variati<strong>on</strong>sin the overall heat transfer coefficient.By assuming that Eq. (6) applies to both the hot <strong>and</strong>the cold side <strong>and</strong> neglecting the thermal resistance inthe separating metal, the overall heat transfercoefficient, U, can be written as(6)where y is the exp<strong>on</strong>ent of the Reynolds number. In [1]it is recommended to use y=0.8 for turbulent flow,which is expected in a heat exchanger.It can be practical to normalize U with a referencemass flow.The overall heat transfer coefficient according to thereference mass flow <strong>and</strong> is similarlyAfter inserting Eq. (7) <strong>and</strong> (8) into Eq. (4) to make itmass flow dependent <strong>and</strong> normalizing, the estimatedoverall heat transfer coefficient will become(8)(7)Figure 2. The figure shows the evoluti<strong>on</strong> of the number oftransfer units <strong>and</strong> the overall heat transfer coefficient with<strong>and</strong> without the empirical relati<strong>on</strong>s.To detect fouling a CuSum chart is used, see [16]. TheCuSum chart was chosen since it is known to beeffective to detect shift in mean values. When usingCuSum charts it is necessary to define two CuSumparameters, a decisi<strong>on</strong> limit to prevent false detecti<strong>on</strong><strong>and</strong> a reference value for deviati<strong>on</strong>s. Detecti<strong>on</strong> is madewhen the cumulative sum of deviati<strong>on</strong>s goes over thedecisi<strong>on</strong> limit.It can be seen in Figure 3 that the method is veryc<strong>on</strong>sistent in detecting diminishing efficiency. Figure 4shows the detecti<strong>on</strong> if no empirical relati<strong>on</strong>s are used.The overall heat transfer coefficient in Eq. (9) is thevariable that is used to detect the fouling in the heatexchanger.(9)RESULTSAs menti<strong>on</strong>ed above the method was applied to thesame data set as was used in [4].Measurement errors were added to the inlet <strong>and</strong> outlettemperatures as well as the mass flows to make themeasurements more realistic. Measurement errors of0.2 °C were assumed <strong>on</strong> the temperatures <strong>and</strong> 1–2%measurement errors to the mass flows.Figure 3. The CuSum chart quickly detects the shift in theoverall heat transfer coefficient.307

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