NUMERICAL SIMULATION OF LOCAL LOSS COEFFICIENTS OF VENTILATION DUCT FITTINGS

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Eleventh International IBPSA Conference Glasgow, Scotland July 7-30, 009 NUMERICAL SIMULATION OF LOCAL LOSS COEFFICIENTS OF VENTILATION DUCT FITTINGS Vladimir Zmrhal, Jan Schwarzer Department of Environmental Engineering, Faculty of Mechanical Engineering, Czech Technical University in Prague Technicka 4, 166 07 Prague 6, Czech Republic Vladimir.Zmrhal@fs.cvut.cz ABSTRACT The knowledge of the local loss coefficients is important for the accurate calculation of ventilation duct pressure loss. In practice, the pressure loss of ventilation duct is very often forecasted, what causes the wrong design of the ventilating fan. A large number of local loss coefficients exist, but the published data are different. The local loss coefficient can be estimated experimentally by the measurement on the real model, or with using of numerical simulation. The paper presents the using of CFD simulation for local loss coefficients of ventilation duct fittings (especially elbows and bends). The simulation results were compared with published data. KEYWORDS CFD simulation, local loss coefficient INTRODUCTION The local pressure losses (local resistance) are caused by the fluid flow through the duct fittings, which change the direction of the flow (elbows, bands, wyes, etc.) or affect the flow in the straight duct with constant cross-section (valves, stopcocks, filters etc.). The local pressure loss coefficient ξ for particular duct fitting can be determined purely by experiment (only one exception is Borda mouthpiece) and the data can be found in literature. Since the experimental measurement of the local pressure loss coefficient on the real ductwork is expensive and time-consuming, it is possible to use advantages of the computer simulation modelling in CFD (computer fluid dynamics) software. The numerical simulation results are compared with published data in the paper. Idelchik published an extensive work already in 1960, and his data are considered as correct. His work was edited also in USA (Idelchik, 1993). For example, Handbook of ASHRAE (001) uses also the Idechik s data in chapter about the duct design. The next literature source is the German guidebook of heating and ventilation (Recknagel, 1996), where the different data of local loss coefficient are published. Also in Czech and Slovak literature it is possible to find these data. While the Czech literature is based on Idechik s values (Chysky and Hemzal, 1993), the Slovak literature (Ferstl, 006) uses data om Recknagel guidebook (1996). Presented analyses describe the local loss coefficient analytically so that it would be possible to use the results for calculation in practice. The basic duct fittings as elbows and bends change the flow direction. In the straight duct the velocity and pressure profile are well balanced. When the fluid enters through the fittings the velocity and pressure profiles are disturbed (figure 1). The deformation of the velocity profile is caused by geometric condition of the duct fitting. The eddy zone can rise in the fittings, which influence the shape of the velocity profile (figure 1). After the fluid passes the fitting, the velocity profile tries to align. The fact mentioned above (deformation of the velocity profile) caused the local pressure loss. Figure 1 Velocity profiles in a duct with an elbow RESEARCH METHODS The simulation software CFD Fluent vs. 6. was used for the calculations. The 3D model was created in the Gambit software. The number of the control volume is variable and, for the presented cases, it is between 500 000 and 000 000 cells. The figure shows the simulation experimental setup. The fitting is placed between two straight ducts (3 m long on the inlet and 5 m long on outlet). The - 1761 -

model is composed om three basic volumes: fitting, inlet duct and outlet duct. The velocity in the duct w was chosen as constant 5 m/s for every analysed case. The presented results are valid for the turbulent flow. The model of turbulence k-ε RNG and standard wall function was used for calculations. The roughness height of the duct walls was zero for all cases, which corresponds to smooth walls. ξ = ξ + ξ (6) loc The examined types of the fittings The paper deals with examination of the duct fittings, which changes the flow direction by 90. The examined fittings are specified in the following description and also in figure 3. Case 1 Round elbow 90 Case Rectangular elbow 90 Case 3 Rectangular elbow with sharp corners 90 Case 4 Segmented round elbow 90 Case 5 Z-shaped elbow with sharp corners Figure Experimental set up Determination of local pressure loss coefficient ξ The total pressure loss of the ventilation duct, shown in figure, is equal to difference between inlet and outlet pressure and also equal to sum of the iction and local pressure loss. p = pin pout = p + ploc (1) The specific pressure loss resulting om iction F can be obtained om 1 m straight sucking duct (figure ) F = p1 p () The pressure loss resulting om iction is the function of the total length of the straight duct p = F( L + L ) (3) 1 The local pressure loss can be estimated as a multiple of the local pressure loss coefficient ξ and dynamic pressure w ploc = ξ ρ (4) After substitution of (1) into (4) the local pressure loss coefficient can be determined as ( p p ) ξ = (5) w ρ For the convenience of engineering calculations, the total local loss coefficient is determined as the sum of the local resistance and iction coefficient (Idelchik 1993). Case 1 Case Case 3 Case 4 Case 5 Figure 3 Schematic illustrations of duct fittings RESULTS AND DISCUSSION Case 1 - Round elbow 90 The basic task, which is being analysed, is the round elbow (90 ). The geometry of the elbow was characterized by the ratio R/D. The figure 4 shows the velocity contours for all analysed cases. The figure 5 presents the example of the velocity vectors for the ratio R/D = 0.5. - 176 -

R/D = 0.5 Case 1 - Round elbow 90 The results of the CFD simulation are present in figure 6. How it is seen the local pressure loss coefficients obtained by simulation are lower then the published data. 1, CFD CFD - eq. (7) Recknagel Idelchik R/D = 0.75 0, 0,5 1,5,0,5 R/D [ - ] Figure 6 Results comparison Case 1 On the basis of the numerical simulation results, the analytical dependence was found out. R/D = 1.0 R/D = 1.5 R/D =.0 Figure 4 Velocity contours - Case 1 R R ξ1 = 9.69 4.4 D D 1 Case Rectangular elbow 90 (7) The next basic case is the rectangular elbow (90 ). The radius of the inner and outer edges is characterized by the ratio R/B. The local pressure coefficient ξ is also affected by the ratio of the duct high and width A/B. 1, 0, 0,5 1,5,0,5 3,0 R/B [ - ] A/B = 0,5 A/B = 0,5 A/B = A/B =,0 Figure 7 Results of simulations Case The results of the simulation are present in figure 7. The effect of the ratio A/B is visible. Especially for the higher values R/B > 1 and A/B > 1 the effect of the ratio A/B cannot be ignored. As it is seen in figure 7 (for the parameters A/B = and R/B > 1) the higher R/B the higher local pressure loss coefficient ξ. It is caused by pressure loss resulting om iction, which is higher with higher A/B. The published data do not respect the mentioned fact as it is seen om the comparison of the results in figure 8. On the basis of the numerical simulation results, the analytical dependence of the local loss coefficient on the geometric parameters of the fitting was found out Figure 5 Velocity vectors Case 1 (R/D = 0.5) - 1763 -

1 1 R R ξ = C1 + C exp C3 B where A A C1 = 0.069 3.458 B 1 A C = 0.09 + 0.046 A C3 = 1.47 + 0.177 ln 1, 0, 1 (8) (9) 0,5 1,5,0,5 3,0 R/B [ - ] CFD - A/B = 0,5 CFD - A/B = Idelchik - A/B = 0,5 Idelchik - A/B = Recknagel - A/B = 0,5 Figure 8 Results comparison Case Case 3 Rectangular elbow with sharp corners A very good agreement with Idelchik s (1993) data was obtained for the rectangular elbow with the keenedged corners (figure 10). On the contrary, the ξ values published in German literature (Recknagel, 1996) are totally different. The sharp inner corner mainly affects the local pressure loss; therefore the relation between the coefficient ξ and the ratio A/B is practically straight. The dimension of the elbow defined by A/B has also effect on the local pressure loss, but how it is seen in figure 10, the effect is minimal.,5,0 1,5 0,5 0,5 1,5,0,5 3,0 A/B [ - ] CFD Recknagel Idelchik Figure 10 Results comparison Case 3 On the basis of the numerical simulation results, the simple analytical dependence of the local loss coefficient on the ratio A/B was found out ξ 3 1.11 A = 0.08 Case 4 Segmented round elbow 90 (10) The figure 11 presents the comparison of the published data of the local loss coefficient (Idelchik 1993, Recknagel 1995, Hemzal 1993) for simple (case 1) and segmented round elbow (case 4). The variability of the published data is evident in figure 11. 1, 0, 0,5 1,5,0,5 3,0 R/D [ - ] Idelchik - 5 segments Idelchik - simple Recknagel - 5 segments Recknagel - simple Hemzal - 5 segments Figure 11 Comparison of the published data for simple round elbow and segmented round elbow 10 9 8 7 6 5 4 3 1 0 10 9 8 7 6 5 4 3 1 0 Figure 9 Velocity contour - Case 3 Figure 1 Velocity vectors and contour Case 4-1764 -

The creation of the segmented elbow model in CFD software or in Gambit respectively is very complicated. Therefore the only one geometric case (R/D = 0.74) was simulated. The result of the simulation was compared with the simulation results obtained for Case 1 (figure 13). The result of CFD simulation for the segmented round elbow (5 segments) corresponds with the result for the simple round elbow (Case 1) in principle. 0, 0,5 1,5,0,5 R/D [ - ] Case 1 - eq. (7) Case 4 - Segmented elbow be used for the cases, when the distance L >.5 m (L/B > 5) is achieved. The figure 14 also presents the comparison of the CFD simulation results with published data. In the area with lower L/B the results show good agreement with Idelchik s (1993) data. For the L/B > 3 the results are little bit different. On the contrary, the data published by Recknagel (1996) seem to be incomplete and, especially for L/B > 1, the data show different trend. Using of these data for practical calculation cannot be recommended. L = 0.5 m Case 5 Z-shaped elbow with sharp corners (A/B = 1) Figure 13 Results comparison Case 4 Case 5 Z-shaped elbow with sharp corners The last case is composed om a pair of 90 elbows joined and it presents the Z-shaped elbow. The purpose of the study is to find the distance L, when it is possible to calculate the pressure loss coefficient as twice local loss coefficient of a single right-angle elbow ξ 5 = ξ 3. As it is seen in figure 10, the dependence ξ 3 = f(a/b) is quite flat. Therefore the only one basic geometric case (A/B = 1) was analysed. The figure 15 shows the velocity contours for selected cases. L = 1.0 m L = 1.5 m 5,0 4,0 3,0.ξ 3,0 CFD - Case 3 CFD (A/B = 1) Idelchik Recknagel,0 4,0 6,0 8,0 1 L/B [-] Figure 14 Results comparison Case 5 L =.5 m 10 9 8 7 6 5 4 3 1 0 The figure 14 presents the results of CFD simulation for the Z-shaped elbow. As it is seen the increase in the relative distance L/B between the axes of two single elbows first leads to a sharp increase of the total pressure loss coefficient and then, when the certain maximum is reached, to its gradual decrease to a value roughly equal to twice local loss coefficient of a single right-angle elbow (case 3). In the figure 14 the dotted line presents the dependence ξ 5 = ξ 3. This simplified calculation can Figure 15 Velocity contours - Case 5 CONCLUSION The paper presents the advantages of the CFD simulation using for analysis of local pressure loss coefficient (local resistance) of the duct fittings. In comparison with standard experimental methods on situ, the computer simulation doesn t need expensive - 1765 -

measuring device. The fast experiment caring out and simple obtaining of the results are also the advantage. In the paper the basic duct fittings, which are used for change the flow direction as elbows and bends were analysed. The results of the simulation were compared with generally accepted published data. In this view the obtained results are very interesting. While the results published by Idelchik (1993) in his extensive work show the similar trend as the simulation results, some data published in German literature (Recknagel, 1995) cannot be recommended for practical calculation. FUTURE WORK The presented simulations were focused on elbows and bends only. The numerical simulation method in CFD allows carrying out other analyses. A similar method can be used for the other ventilation fittings like transitions, diffusers, cross, branches etc. The simulation analysis including the literature review will be continued in the next work. REFERENCES ASHRAE Handbook 001 Fundamentals, 001, ASHRAE, Atlanta. ISBN - 1-883413-87-7 Brooks P.J. New ASHRAE Local Loss Coefficients for HVAC fittings. In ASHRAE Transactions: 1993, Vol.99, Part., paper number 3709 (RP- 551) Ferstl, K. Ventilation and air-conditioning (in slovak). 006, Jaga group, Bratislava. ISBN 80-8076-037-3. Chysky J., Hemzal, K. Ventilation and airconditioning. Technical guide no. 31 (in czech), 1993, Praha: Bolit Brno. ISBN 80-901574-8 Idelchik I.E. Handbook of Hydraulic Resistence. 3 rd edition, 1993, Betelu House inc. ISBN 1-56700- 074-6. Recknagel, H., Sprenger, E., Schramek, E. Taschenbuch fur Heizung + Klimatechnik 94/95, 1995. ISBN 3-486-613-0 ACKNOWLEDGMENT This paper is integrated in the amework of CTU Research Aim MSM 684077001. NOMENCLATURE A height of the duct [m] B width of the duct [m] D diameter of the duct [m] F specific iction pressure loss [Pa/m] L length of the duct [m] p in inlet pressure [Pa] p out outlet pressure [Pa] p total pressure loss [Pa] p pressure loss resulting om iction (ictional drag) [Pa] p loc local pressure loss (local resistance) [Pa] R radius of the curvature of the elbow axis [m] w air velocity [m/s] ξ local pressure loss coefficient [-] ν kinematic viscosity = 9.10-5 [m /s] ρ air density = 1, [kg/m 3 ] - 1766 -