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12th International Symposium on District Heating and Cooling

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>iaANALYSIS OF HEAT TRANSFER IN HEAT EXCHANGERS BY USINGTHE NTU METHOD AND EMPIRICAL RELATIONSO. Gudmundss<strong>on</strong>, O. P. Palss<strong>on</strong> <strong>and</strong> H. Palss<strong>on</strong> 1Faculty of Industrial Engineering, Mechanical Engineering <strong>and</strong> ComputerScience Hjardarhagi 2-6, IS-107 Reykjavik, Icel<strong>and</strong>ABSTRACTHeat exchangers are widely used in domestic <strong>and</strong>industrial applicati<strong>on</strong>s involving transfer of energy from<strong>on</strong>e fluid to another, for example in district heatingsystems. The wide usage underlines the importance tohave a good technique to detect if the effectiveness ofan heat exchanger is diminishing. There are number ofthings that can cause diminishing effectiveness of anheat exchanger, for example fouling, changes in fluidproperties as well as corrosi<strong>on</strong>. In many cases thefouling is a particular problem, for example whengeothermal water is used. Geothermal water is verymineral rich which can cause serious fouling problems.The method presented in this paper is simple <strong>and</strong> easyto use <strong>and</strong> can be used to detect a diminishing heattransfer coefficient in many types of heat exchangers,in this paper the method is used <strong>on</strong> cross flow heatexchanger. The method uses measurements of theinlet <strong>and</strong> outlet temperatures as well as the mass flows,these measurements are usually easy to gather undernormal operati<strong>on</strong>. The method uses the well knownNumber of Transfer Units (NTU) method as well asempirical relati<strong>on</strong>s to estimate the overall heat transfercoefficient, which is then statistically analyzed. Thedata used in this study was gathered from a simulatedcross-flow heat exchanger where the overall heattransfer coefficient was gradually decreased tosimulate diminishing effectiveness of the heatexchanger. The c<strong>on</strong>clusi<strong>on</strong> of this study shows that thederived detecti<strong>on</strong> method can detect fouling based <strong>on</strong>the data from a simulated cross-flow heat exchanger,with a good accuracy <strong>and</strong> c<strong>on</strong>sistency. Further analysis<strong>on</strong> real data is scheduled.INTRODUCTIONHeat exchangers are widely used in domestic <strong>and</strong>industrial applicati<strong>on</strong>s involving transfer of energy from<strong>on</strong>e fluid to another. General classificati<strong>on</strong> of heatexchangers are parallel flow, counter flow <strong>and</strong> crossflow. Their size <strong>and</strong> complexity can also vary greatly.Their operating c<strong>on</strong>diti<strong>on</strong>s can be classified into twomain classes, steady operati<strong>on</strong> where mass flow <strong>and</strong>temperatures are relatively c<strong>on</strong>stant <strong>and</strong> dynamicoperati<strong>on</strong> where mass flow <strong>and</strong> temperatures can varygreatly with time.During operati<strong>on</strong> it is important to have someknowledge of the c<strong>on</strong>diti<strong>on</strong> of the heat exchanger. Fora steady state c<strong>on</strong>diti<strong>on</strong> it has proven to be relativelysimple, since analytical <strong>and</strong> empirical relati<strong>on</strong>s can bederived for different heat exchanger types <strong>and</strong> used forall necessary calculati<strong>on</strong> regarding time invariantc<strong>on</strong>diti<strong>on</strong>s, see e.g. [1]. If a dynamic operati<strong>on</strong> exists itbecomes more complex to m<strong>on</strong>itor the c<strong>on</strong>diti<strong>on</strong> of theheat exchanger <strong>and</strong> more complex models are used,see e.g. [2] <strong>and</strong> [3].In this study, a mathematical model is used that hasbeen developed to simulate accurately the temperature<strong>and</strong> flow transients in a cross flow heat exchanger. Themodel is based <strong>on</strong> the finite volume method (FVM)where a mathematical representati<strong>on</strong> of a generalcross flow heat exchanger is solved numerically. Onepossible applicati<strong>on</strong> of such a model is to generatedata that can be used to compare <strong>and</strong> tune moresimple dynamic models based <strong>on</strong> either black boxmethods or state space modelling. An importantapplicati<strong>on</strong> in this c<strong>on</strong>text involves methods to detectfouling in heat exchangers under dynamic operati<strong>on</strong>.Descripti<strong>on</strong> of the model can be seen in [4].Fouling in heat exchanger can be categorized in thefollowing categories, precipitati<strong>on</strong> fouling, chemicalreacti<strong>on</strong> fouling, corrosi<strong>on</strong> fouling, particulate fouling,biological fouling <strong>and</strong> freezing fouling. Usually fouling isa combinati<strong>on</strong> of the categories. The fouling process inheat exchanger can be described as a process wherethe separating metal inside the heat exchangeraccumulates deposits from the fluids. This is verycomm<strong>on</strong> <strong>and</strong> poses problems <strong>and</strong> results in reducedefficiency of the heat exchangers. There are numerousmethods available to address the effect of fouling, see[5–8]. Finally, decrease in the thermal efficiency of aheat exchanger due to property changes in a workingfluid will have similar effect <strong>on</strong> the heat exchanger asfouling.There are number of ways to detect fouling butaccording to [9], classical methods involvea) examinati<strong>on</strong> of the heat transfer coefficient,b) simultaneous observati<strong>on</strong>s of pressure drops <strong>and</strong>mass flow rates, c) temperature measurements,d) ultras<strong>on</strong>ic or electrical measurements <strong>and</strong>e) weighing of the heat exchanger plates. Methodsa–c) require the heat exchanger to be operating insteady state c<strong>on</strong>diti<strong>on</strong>, d) can <strong>on</strong>ly m<strong>on</strong>itor local fouling<strong>and</strong> e) requires the process to be stopped. Theserestricti<strong>on</strong>s can be too strict or costly. Another305

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