Heat exchanger fouling model and preventive maintenance scheduling tool

Radhakrishnan, Vishnu; Ramasamy, M.; Zabiri, Haslinda; Thanh, V. Do; Tahir, Nurizan; Mukhtar, Hilmi; Hamdi, Muhamad; Ramli, Nasser Mohamed

doi:10.1016/j.applthermaleng.2007.02.009

Cited by 76 publications

(39 citation statements)

References 13 publications

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“…There have been a lot of publications on the effects of air dust deposition fouling, such as experimental studies on the effects of particle quantities on the performance of evaporators [1,2], experimental studies on the relations between particle size and the deposited dust quantities [3,4], and modeling deposition of fouling particles [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Air-side heat transfer and friction characteristics of biofouled evaporator under wet conditions

Ding

et al. 2009

Front. Energy Power Eng. China

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The effects of biofouling on air-side heat transfer and friction characteristics under wet conditions of three biofouled finned tube heat exchangers and one clean finned tube heat exchanger were investigated experimentally. Experimental results indicate that the biofouled fin efficiency of the evaporator decreases by 15.5% compared with the clean evaporator under the condition of the biofouled area ratio of 60% at the inlet air velocity of 2.0 m/s; The ranges of friction fouling factor and heat transfer fouling factor are 19.8%-43.1% and -15.6%-13.1%, respectively; a small quantity of biofouled particles can enhance heat transfer at low Reynolds number, and the enhancement effect decreases with the increase of Reynolds number.

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Section: Introductionmentioning

confidence: 99%

Air-side heat transfer and friction characteristics of biofouled evaporator under wet conditions

Ding

et al. 2009

Front. Energy Power Eng. China

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“…Others observe, are the increase in the fouling rates with the fluid temperature [10,11]. Radhakrishman et al [12] developed a predictive model using statistical methods which can a priori predict the fouling rate and decrease in heat exchanger efficiency. Aminian and Shahhosseini [13] evaluated the artificial neural network (ANN) modeling, for the prediction of crude oil fouling behavior in the preheat exchangers of crude oil distillation units.…”

Section: Introductionmentioning

confidence: 99%

The fouling in the tubular heat exchanger of Algiers refinery

2015

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List of symbols AThe heat transfer external surface (m 2 ) a ⊥ , a c⊥ The fluid passage area at side tube and side calender, respectively (m 2 ) C P The heat-storage capacity (kJ/kg °C) C Pf , Cp c The heat-storage capacity (kJ/kg °C) d The fluid circulating density at side tube di Tubes interns diameter (m) d 0,e Diamètre externe des tubes (m) d 4 15 Density D c , D e Diamètre de la calandre et diamètre hydraulique, respectivement (m) f t The friction factor F The correction factor G t The mass speed fluid circulating at side tube (kg/h m 2 ) h i The heat transfer coefficient at internal film (kW/m 2 °C) h 0 The heat transfer coefficient at external film (kW/m 2 °C) h i0 The heat transfer coefficient at internal film brought back to the external surface (kW/ m 2 °C) J hf , J hc Coefficient de transfert pour le fluide froid et chaud, respectivement (kW/m 2 °C) l Tubes length (m) m The cold fluid mass flow (the crude oil) (m 3 /h) m f , m c Débit massique pour le fluide froid et chaud, respectivement (kg/s) m f⊥ , m c⊥ Mass flow for the cold and hot fluid, respectively, concerning the straight section (kg/s) MLDTThe difference logarithmic temperature (°C) n c , n tThe devices and the master keys numbers P e , P s Inlet and outlet pressure of the crude oil respectively (Pascal)Abstract Crude oil fouling in refinery preheat exchangers is a chronic operational problem that compromises energy recovery in these systems. Progress is hindered by the lack of quantitative knowledge of the dynamic effects of fouling on heat exchanger transfer and pressure drops. In subject of this work is an experimental determination of the thermal fouling resistance in the tubular heat exchanger of the crude oil preheats trains installed in an Algiers refinery. By measuring the inlet and outlet temperatures and mass flows of the two fluids, the overall heat transfer coefficient has been determined. Determining the overall heat transfer coefficient for the heat exchanger with clean and fouled surfaces, the fouling resistance was calculated. The results obtained from the two cells of exchangers studies, showed that the fouling resistance increased with time presented an exponential evolution in agreement with the model suggested by Kern and Seaton, with the existence of fluctuation caused by the instability of the flow rate and the impact between the particles. The bad cleaning of the heat exchangers involved the absence of the induction period and caused consequently, high values of the fouling resistance in a relatively short period of time.

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“…Others observe, on the other hand, an increase in the rate of fouling with the fluid temperature [3,4]. Radhakrishman et al [5] developed a predictive model using statistical methods which can a priori predict the rate of fouling and decrease in heat transfer efficiency of heat exchangers. Aminian and Shahhosseini [6] evaluated the artificial neural network (ANN) modeling, for the prediction of crude oil fouling behavior in preheat exchangers of crude oil distillation units.…”

Section: Introductionmentioning

confidence: 99%

Study of the fouling deposit in the heat exchangers of Algiers refinery

2014

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The calculation of the calender-and-tube heat exchanger is based on empirical models validated on the laboratory scale. However, when doing an extrapolation at industrial scale, errors become significant because of the non-linearities of the thermophysical properties and the transfer coefficients along the heat exchanger. For that, a follow-up on the fouling resistance in heat exchangers of tube-calender type in Algiers' refinery is presented in this study. These exchangers are used to preheat the crude oil before its passage to the atmospheric column. The results obtained from the two cells of exchangers, which were studied, showed that the resistance and the deposit fouling increases with time following an exponential curve with the existence of the fluctuations caused by the instability of the flow. Bad cleaning of the exchangers involved the absence of an induction time, and consequently, caused high values of the resistance and the deposit fouling during a relatively short time.

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Heat exchanger fouling model and preventive maintenance scheduling tool

Cited by 76 publications

References 13 publications

Air-side heat transfer and friction characteristics of biofouled evaporator under wet conditions

Air-side heat transfer and friction characteristics of biofouled evaporator under wet conditions

The fouling in the tubular heat exchanger of Algiers refinery

Study of the fouling deposit in the heat exchangers of Algiers refinery

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