Research Journal of Applied Sciences, Engineering and Technology 4(19): 3811-3818, 2012 ISSN: 2040-7467 © Maxwell Scientific Organization, 2012 Submitted: April 21, 2012 Accepted: May 24, 2012 Published: October 01, 2012 A Review of Performance of a Venturi Scrubber Majid Ali, Yan Chang Qi and Khurram Mehboob College of Nuclear Science and Technology, Harbin Engineering University, Harbin, China Abstract: Due to stringent regulations of safety of nuclear power plants, numerous efforts have been made to remove particulate matter and gaseous pollutants from a gas stream prior to its emission into the environment during severe accidents. Venturi scrubbers are one of the most popular and highly efficient gas cleaning devices, which frequently remove particulate matter and gaseous pollutants from the gas stream via droplets formed by liquid atomization, usually in the venturi throat. The objective of this study is to present the review of published studies in the last few decades related to the performance of the venturi scrubber to make an optimal design to achieve the required standards. Keywords: Nuclear power plants, particulate matter and gaseous pollutants, performance, venturi scrubbers INTRODUCTION In many industries and power plants, the emission of a broad spectrum of particulate matter and gaseous pollutants are the major global concerns due to its harmful effects. During severe accidents in nuclear power plants due to core meltdown, the emission of particulate matter and gaseous pollutants from containment is the hazard for the people and environment (Feng and Xinrong, 2009). To mitigate the radioactive effects, FVCS (Filtered Vented Containment System) is being installed in nuclear power plants (Schlueter and Schmitz, 1990). A variety of different designs for FVCS have been proposed and installed for the separation of particulate matter and gaseous pollutants from a gas stream (Schlueter and Schmitz, 1990; Kolditz, 1995; Rust et al., 1995; Reim and Hurlebaus, 1995). Venturi scrubber is one of the most competent devices to collect the particulate matter and gaseous pollutants from a gas stream simultaneously in FVCS. A classic venturi scrubber consists of three main parts: a convergent, a throat and a diffuser, as shown in Fig. 1. Convergent part is used for acceleration of gas to atomize the scrubbing liquid. Throat part is between convergent and diffuser, which is used for interaction of liquid and gas, whereas diffuser is used for deceleration of gas to allow some pressure recovery. The geometrical cross-section of a venturi scrubber is either circular or rectangular. The liquid is injected into the venturi scrubber in two ways; forced feed method through pumps or self-priming method due to pressure difference composed of hydrostatic pressure of the liquid and static pressure of the gas (Lehner, 1998). The liquid is introduced in a venture scrubber in three different forms; film, jet or spray. In a wetted-wall venturi scrubber, the liquid is introduced as a film just upstream of convergence section, whereas the liquid is injected from the orifices in a Pease-Anthony venturi scrubber located on the venturi throat and an Ejector venturi scrubber uses spray mostly upwards against the gas flow in the throat (Gamisan et al., 2002). Venturi scrubber is distinguished based on throat design: firstly, Pease-Anthony has constant throat and secondly, McInnis-Bischoff have variable throat to adjust the flow rate (Viswanathan, 1998a). Venturi scrubber can be categorized by pressure drop: low-energy scrubbers (below and up to 2.42 kpa), medium-energy scrubbers (2.42 to 4.9 kPa) and high-energy scrubbers (above 4.9 kPa) (Gamisan et al., 2002). Venturi scrubbers have the advantage of being simple in design, easy to install, no moving parts within the scrubber, low maintenance and initial investment cost, can handle flammable and explosive dusts, provides cooling for hot gases, corrosive gases and dust can be neutralized and collection efficiency can be varied. The main disadvantage is the power required for its operation. The purpose of this study is to present the review of the published research studies in the last few decades related to the performance of the venturi scrubber. PERFORMANCE OF VENTURI SCRUBBER The performance of Venturi scrubber depends on many factors, some of them are: droplet dispersion, pressure drop, atomization, size of droplets, injection method and collection mechanism. The accurate predictions of these important factors are valuable for its optimization. Corresponding Author: Majid Ali, College of Nuclear Science and Technology, Harbin Engineering University, Harbin, China 3811 Res. J. Appl. Sci. Eng. Technolog., 4(19): 3811-3818, 2012 Fig. 1: Schematic diagram of a venturi Droplet dispersion: Droplet dispersion is a complex function of factors such as mean droplet diameter, droplet size distribution, the method of liquid injection, the liquid trajectory, the rate of liquid atomization, gas eddy diffusivity and mean gas velocity. Fathikalajahi and Talaie (1997) studied the liquid dispersion in a venturi scrubber by developing threedimensional dispersion model and investigated the effect of droplet size distribution on droplet dispersion. The experimental results obtained from Viswanathan were compared with this model, which validated this model. Goncalves et al. (2003) presented a mathematical description for jet dynamic, i.e., jet trajectory, penetration and breakups, which were tested, parameterized and validated using data obtained by imaging technique in a rectangular laboratory scale venturi scrubber. It was concluded that atomization of jet didn’t begin from the base but at a certain distance from the orifice. Jet didn’t disintegrate at a single point, but it lost its mass continually along its trajectory. Goncalves et al. (2004) proposed a mathematical model for droplet dispersion and studied it experimentally and theoretically. It was assumed that only drag force is acting on the droplets and force of gravity was ignored. The obtained results from a model perform well with experimental data. Scrubber performance increased with uniform droplet throat coverage, which is also sensitive like other operating parameters such as gas velocity and jet velocity. Ahmadvand and Talaie (2010) developed an Eulerian model for two phase flow and k-ε turbulence model to evaluate gas diffusivity for droplet dispersion through a cylindrical Venturi scrubber having the same inlet and outlet diameter. Boll (1973) correlation for mean droplet diameter, Rosin-Rammler distribution function for droplet size and Fathikalajahi and Talaie (1997) method for eddy diffusivity of droplets was applied for calculations. The results obtained from the model agree with the experimental results at constant Peclet number. Lehner (1998) observed the scrubbing of liquid via photography in a self-priming venturi scrubber. Jet penetration was found sensitive to gas velocity working in a self priming mode. No difference was observed between self-priming venturi scrubber and forced feed venturi scrubber in a jet atomization phenomenon. Roberts and Hill (1981) studied atomization process in three different types of nozzles namely: straight, converging and orifice. Jet breaks up depends upon on air and water velocities. The droplets formed at higher air and water velocities were smaller results in shorter wavelength and higher frequencies and vice versa. Mayinger and Neumann (1978) suggested that liquid did not break up into droplets at the start. Firstly, sheets of structure were formed having the lifetime of milliseconds with enlarging an interfacial area due to high shear stress and momentum forces of the gas stream, later than droplets of different size were formed. Viswanathan et al. (1983) measured the jet penetration in venturi scrubber which is important for uniform throat coverage by liquid drops. It was noted that dust collection efficiency was increased with the increase of liquid to gas ratio, but decreased when film was formed on the wall with excessive increase of liquid to gas ratio. Ananthanarayanan and Viswanathan (1999b) developed a dimensionless venturi number between 1×10-3 to 1.5×10-3 to predict optimal liquid flux distribution and collection efficiency in cylindrical venturi scrubber. Ananthanarayanan and Viswanathan (1999a) studied the effect of nozzle arrangement on liquid flux distribution using CFD code in rectangular venturi scrubber. It was observed that liquid flux distribution remains constant if the distance between nozzles was same in different arrangement and produces nonuniformity if nozzle to nozzle distance was exceeded 10%. Talaie et al. (2008) modified his model for droplet dispersion and studied the effect of droplet size distribution and droplet concentration distribution on it. 3812 Res. J. Appl. Sci. Eng. Technolog., 4(19): 3811-3818, 2012 Viswanathan et al. (1984) assessed two phase flow in a venturi scrubber and developed a model based on two-dimensional field and incompressible flow. It was observed that when 7≤L/G≤9, droplets were distributed uniformly. Liquid flux distribution is greatly dependent on liquid to gas ratio and found independent on gas velocity at constant liquid to gas ratio. The model was validated using Particle-In-Cell approach numerically. Rahimi et al. (2006) proposed a two dimensional model for prediction of droplet distribution and liquid film formation in a venturi scrubber. The eddy diffusivity of droplet was calculated without assuming constant Peclet number. Shyan and Viswanathan (2000) deliberated the effect of polydispersity of droplets in the prediction of liquid flux distribution in a venturi scrubber. The proposed model assumed the constant film flow rate and no drop-to-drop interaction. The model used two correlations for each droplet size and droplet size distribution. The correlation for droplet size: Sautermean diameter predicted by Boll (1973) and mass median diameter predicted by Kim and Marshall (1971), whereas for droplet size distribution: Upper-limit function proposed by Leith and Licht (1972) and rootnormal distribution by Simmons (1977) were selected and tested. The data obtained showed that the effect of throat gas velocity was larger than liquid to gas ratio on polydispersity in drop-size distribution. Size of droplet: The droplet's formation due to atomization of a liquid will act as cleaning elements in the venturi scrubbers. The collection efficiency of particle and gas absorption is dependent upon the size of droplet. Therefore, droplet size is one of the fundamental parameter for the scrubber performance. Roberts and Hill (1981) used Nukiyama and Tanasawa correlation for the prediction of size of droplets via photography. Water was injected through three different nozzles; straight, converging and orifice. It was observed that diameters of droplet were similar in three nozzles. Alonso et al. (2001) estimated droplet size in a cylindrical laboratory-scale venturi scrubber using a laser diffraction technique. Two different methods were arranged to inject the liquid. First, when liquid was introduced as jet through orifices in a throat, measurements were performed at three positions: two located in the throat and one at the end of the diffuser. Second, when liquid was injected as film through a porous wall located at upstream of convergence, then measurements were carried out at the end of diffuser. It was concluded that Sauter mean diameter was well correlated by the equation proposed by Boll (1973) rather than Nukiyama and Tanasawa correlation and Rosin-Rammler function for droplet size distribution gives satisfactory results. Gamisan et al. (2002) measure the droplet size in an ejector venturi scrubber using the pressure-swirl atomizer with two different atomizer angles through high speed photographs. It was noted that Sauter mean diameter decreased with the increased of liquid flow rate and atomization angle. Costa et al. (2004) presented droplet size data in a rectangular Venturi scrubber using laser diffraction method, where liquid was injected as a jet. It was observed that size of droplet was decreased with the increase of gas velocity and increased with the distance from the liquid injection system and neither Nukiyama Tanasawa nor Boll (1973) correlation gave adequately calculation of experimental results. Lim et al. (2005) proposed two theoretical distributions; the upper-limit distribution and root normal distribution function in terms of droplet size and frequency to verify experimental results in a rectangular Pease Anthony venturi scrubber. Phase Doppler Particle Analyzer (PDPA) method was used to measure the droplet size and distribution in an annular two-phase flow. It was observed that maximum velocity achieved by the droplet is equal to throat gas velocity and the Sauter mean diameter increases as the liquid-to-gas ratio increases at a constant throat gas velocity, while it decreases with an increase in the throat gas velocity at a constant liquid-to-gas ratio. It was concluded that when throat gas velocity was 60 m/s, a single average drop size was adequate to describe the entire drop-size distribution. Silva et al. (2009a) employed Fraunhofer diffraction technique by illuminating the flow with a laser beam to measure the size of droplet in large scale cylindrical venturi scrubber. The size of droplet was measured at three different sections along the throat and diffuser section. The experimental data was compared with Nukiyama Tanasawa and Boll (1973) correlation which under predicts the data. It was concluded that turbulent breakup and coalescence mechanism control the droplet size and liquid injection method was important for the formation of droplet. It was observed that size of droplet was decreased along the throat at constant throat gas velocity and this phenomenon was prominent when liquid was injected as film. Pressure drop: Pressure drop is one of the most important parameter, which affects the performance of venturi scrubber. Several models are developed and investigated, which are available in literature for the 3813 Res. J. Appl. Sci. Eng. Technolog., 4(19): 3811-3818, 2012 prediction of pressure drop across the venturi scrubber theoretically and experimentally. Calvert (1970) model was one of the simplest models used due to its assumption. This model does not contain any effect of geometry of a venturi scrubber. Pressure drop was only considered due to change in momentum of droplets in the throat. The effect of acceleration of gas in the throat and wall friction was neglected. Calvert’s model based on the assumption was (Calvert, 1970): Flow was one-dimensional, incompressible and adiabatic Droplets entered with no axial velocity Liquid introduced was atomized into drops Size of droplet was uniform Droplets accelerate to the gas velocity at the end of the throat Liquid fraction at any cross-section was small Boll (1973) developed a mathematical model which comprised of simultaneous equations of drop motion and momentum exchange. Boll includes three mechanisms, which were responsible for pressure drop namely the acceleration of the gas, the acceleration of droplets and friction. Boll assumed complete atomization of the liquid. Hesketh (1974) estimated pressure drop as a function of throat gas velocity and liquid to gas in a venturi scrubber and assumed that all energy expended to accelerate the droplets equal to throat gas velocity. Yung et al. (1977) modified the Calvert model for pressure drop by assuming that droplets did not reach the velocity of gas at the end of a throat. Yung et al. (1978) obtained Nukiyama and Tanasawa correlation for droplets having same size and Hollands and Goel correlations for the drag coefficient of droplets. Leith et al. (1985) enhanced the Yung et al. (1977) model by accumulation of the pressure recovery due to the deceleration of droplets in the diffuser. Viswanathan (1985) model predicted pressure drop accurately in a Pease-Anthony venturi scrubber in two phase annular flow based on parameter viz. liquid to gas ratio, throat gas velocity, venturi geometry and liquid film flow rate. The data was compared with three other correlations; Hesketh (1974), Calvert and Boll’s Correlation. The model considered flow losses due to frictional effect, acceleration of droplets and liquid film flowing on the walls. The Lock-Chart-Martinelli correlation provided better agreement with experimental values at all liquid to gas ratio and throat gas velocity. Allen et al. (1996) measured the total pressure drop in terms of dry and wet pressure drop as a function of operating conditions in industrial Scale Scrubber and compare the data between two venturi scrubbers. Goncalves et al. (2001) objective was to determine the best model available for prediction of pressure drop. For this purpose, the models viz. Calvert, Yung, Leith, Hesketh (1974), Boll, Hollands and Goel and Azzopardi models were considered and compared with experimental data from a venturi scrubber of different sizes, geometries, operating variables and liquid injection method. It was concluded that special attention must be paid to select the model due to its assumption. Gamisan et al. (2002) evaluated pressure drop for ejector venturi scrubber and adapted Sun and Azzopardi (2003) model for boundary layer, which performs well and studied the effect of throat diameter, throat length and spray angle. Sun and Azzopardi (2003) extended their previous study of growth of boundary layer in diffuser to FBLM (Full Boundary Layer Model) to all sections in a venturi to predict an accurate pressure drop. The experimental results of Yung et al. (1978) and Sun and Azzopardi (2003), have been used to validate the FBLM. To check the sensitivity of FBLM two different tests were carried out; first, initial values of the boundary layer parameter which were boundary layer blockage parameter and boundary layer blockage fraction and second geometry of liquid injection. The Full Boundary Layer Model gives very good predictions of pressure loss for PearceAnthony Venturi scrubber, especially at high pressure. Nasseh et al. (2007) used the first time ANN (Artificial Neural Network) technique to predict the pressure drop in a venturi scrubber, which performs well than the other empirical and semi empirical correlations in literature. Data was obtained from five different venturi scrubbers and three separate neural networks were designed. First neural network had three parameters; liquid flow rate, throat gas velocity and axial distance, two parameters in second neural network for dry pressure drop; throat gas velocity and axial distance and four parameters in third neural network; throat diameter, liquid flow rate, throat gas velocity and axial distance. The simulated results of these ANNs and calculated results from different models were compared with the experimental data. Nasseh et al. (2009) improved their previous study by optimizing parameters of neural network using the genetic algorithm. The experimental data was extracted from seven different venturi scrubbers and two neural networks were designed to estimate the wet pressure drop and the dry pressure drop in venturi scrubbers. The first neural network evaluates the wet pressure drop with 3814 Res. J. Appl. Sci. Eng. Technolog., 4(19): 3811-3818, 2012 five input variables and dry pressure drop was evaluated in second neural network with four variables. The output variable for both neural networks was the pressure drop. Silva et al. (2009b) used different injection system to predict the pressure drop across the large scale venturi scrubber and studied the effect of liquid to gas ratio and throat gas velocity on it. The experimental values were compared with Cruz's model, which shows a good prediction. It was observed that there was slightly difference in the values of pressure drop for both injection systems. Viswanathan (1998b) modified his previous model for two phase annular flow to assess the effect of liquid film on the pressure drop in a venturi scrubber. Furthermore, the effect of injection orifice diameter, throat gas velocity and liquid loading on film flow rate, film thickness and pressure drop was investigated. The pressure drop predicted from this correlation was according to experimental values. COLLECTION EFFICIENCY The collection efficiency of a venturi scrubber is affected by several mechanisms operating simultaneously. These include inertial impaction, interception, diffusion, electrostatics, nucleation and growth and condensation. The contribution of any one mechanism depends on size of particle and droplet and their relative velocity. Ekman and Johnstone (1951) carried out to study the variables which affect the performance of a venturi scrubber in laboratory scale. The water was introduced in three distinctive ways and oil aerosols of three different sizes were used in the experiment. The graphs were plotted in logarithmic scale. Calvert (1970) developed a mathematical model to predict the collection efficiency. The experimental results of Walton and Woolcock correlation were used to estimate the single droplet collection efficiency based on an inertial impaction mechanism. Boll (1973) calculated the collection efficiency numerically by considering the effect of geometry and drag coefficient. Hesketh (1974) measured the collection efficiency in terms of penetration as a function of pressure drop as well as throat area and liquid to gas ratio. Goel and Hollands (1977a) determined the charts due to dependence of efficiency on numerous variables to evaluate the performance of a venturi scrubber. Yung et al. (1978) modified the Calvert’s equation to measure the particle collection. The drag coefficient was determined from Hollands and Goel Correlation. The obtained results were compared with experimental results of Ekman and Johnstone (1951). Placek and Peters (1981) purpose was to develop a realistic computer model for venturi scrubber performance. The location of an injecting liquid and length of throat with respect to geometry and operating variables viz. liquid loading ratio, gas velocity were important, which mostly affect the collection efficiency. Cooper and Leith (1984) studied the effect of geometry, throat velocity and particle size to optimize scrubber performance. For this purpose, the model was developed similar to Boll’s model. The results were expressed in terms of specific cleaning volume. Rudnick et al. (1986) investigated the particle collection efficiencies and compared the data with three most important models in literature viz. Calvert’s, Yung’s and Boll’s models. Three different dimensions of a venturi scrubber were used. It was compared that Yung’s model performed better than the other. Allen (1996) measured the grade efficiency in two different geometries viz. circular and prismatic venturi scrubber. The obtained result shows that the performance of a scrubber was independent of liquid to gas ratio, throat velocity and throat design, but it was a function of the pressure drop. Grade efficiency was predicted by using the contacting power law. Pulley (1997) specified the performance of the venturi scrubber in terms of pressure drop and collection efficiency with two different venturi scrubber differentiated on the basis of liquid injection method. The Sun and Azzopardi (2003), model to predict the pressure drop and Ingebo correlation for droplet size were used. The inertial mechanism was founded the dominant mechanism, which enhance the efficiency of particle collection. Gamisans et al. (2004a) developed a hydrodynamic model based on a boundary layer model for the absorption of gaseous pollutants in pilot plant venturi scrubber. The agreement between theoretical and experimental values increased the importance of presence of liquid film travelling along the walls of a venturi scrubber. The experimental results show an increase in removal efficiency with the increased of the liquid film thickness. Gamisans et al. (2004b) investigated the efficiency of an ejector venturi scrubber by pumping the gas flow rate. Gas entrainment efficiency was evaluated from two approaches. The experimental results shows that jet pump for gas flow rate are not suitable for ejector venturi scrubber. Costa et al. (2005) proposed a new model to analyze the performance of laboratory scale rectangular venturi scrubber. Grade collection efficiency varied with 3815 Res. J. Appl. Sci. Eng. Technolog., 4(19): 3811-3818, 2012 an increase of throat gas velocity and liquid injection under certain limits. Two collection mechanisms were observed: Inertial mechanism for the large particles and diffusion mechanism for small particles. Pak and Chang (2006) estimated the performance of a venturi scrubber through computational model by using Eulerian-Langrangian for three phase flow where gas flow in Euler approach and dust and droplets in Lagrangian were simulated. Economopoulou and Harrison (2007) developed graphical tools to predict the overall collection efficiency under particular design configuration and operating conditions of a venturi scrubber. Calvert and Yung models were used to develop these nomographs for evaluation and selection of efficient venturi scrubber design. Monabbati et al. (1989) presented the mathematical model to investigate the collection efficiency of an atomizing venturi scrubber. The experimental and theoretical data was compared, which shows that the model performs well in predicting the effect of particle size, liquid and gas flow rates. Taheri and Mohebbi (2008) attempted for the first time to design artificial neural network in GA (Genetic Algorithm) to calculate the collection efficiency of a venturi scrubber. It was concluded that GA method performed well than the trial-and-error method. Huang et al. (2007) designed a venturi scrubber system to collect the submicron particles. For this purpose, saturated steam at 100ºC was mixed with steam at a normal temperature before the venturi scrubber. The submicron particles were grown to micron size particles pursuant to heterogeneous nucleation and condensation. Efficiency of a venturi scrubber was significantly improved at the expense of low pressure drop. Kumar et al. (2008) developed mathematical model to evaluate capture efficiency in terms of penetration where an intermediate drop Reynolds number (1<ReD<1000) effects are accounted for different throat length and gas velocity. Goniva et al. (2009) simulated venturi scrubber in Open FOAM framework to analyze the performance of a venturi scrubber. Eulerian-Langrangian approach was used to solve the model numerically. The dust particles were simulated in additional passive Eulerian approach while droplets were treated in Langrangian phase. The atomization of liquid was modeled in a Taylor Analogy Breakup (TAB) model. The numerical results were found better when compared with experimental results in literature. Ribeiro et al. (2005) studied the impact of multiple orifices, droplet size, gas velocity and liquid flow rate on the collection efficiency of laboratory scale venturi scrubber. It was noted that efficiency was higher for higher liquid flow rate and one orifice was operating. 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