Numerical Modelling of Automatic Discharge Control Valve Performance for Open Channel and Low-head Networks

Document Type : Research Paper

Authors

1 PhD candidate, Irrigation and Reclamation Engineering Dept. Faculty of Agriculture, University college of Agriculture and natural resources, University of Tehran, Karaj, Iran.

2 Prof. Irrigation and Reclamation Engineering Dept., Faculty of Agriculture, University college of Agriculture and Natural resources, University of Tehran, Karaj, Iran.

3 Department of Water Science and Engineering, Faculty of Agriculture and Natural Resources, Imam Khomeini International University, Qazvin, Iran

Abstract

Automatic flow control valves are one of the most important parts of the conveyance, distribution, and volumetric water delivery. Automatic flow control valves are usually designed for common heads in pressurized distribution networks. In this study, a new structure has been designed for farm use to control the flow which is applied in low operation heads. A numerical simulation by Ansys Fluent was carried out after a performance examination in the laboratory. This numerical modeling will lay the groundwork for the low-cost development of the automatic flow control valve for operating in a wide range of heads and flow rates. Due to the mobility of the internal components of this control valve, its dynamic simulations are complex and require the use of a dynamic mesh, which is very time-consuming to implement. In this research, to reduce the time of dynamic simulation, conventional assumption is considered to simplify the flow field geometry and its results are reported based on the results. The results show that excluding a guide rod from geometry, whilst facilitate dynamic simulation and decrease simulation time, also leads to a one-sided systematic error ranging from 2.7 to 4.9 percent. Since the direction of the discharge estimation error is one-sided, the correlation relationship of the results was presented and reported in this study.

Keywords

Main Subjects


EXTENDED ABSTRACT

 

Introduction

The simultaneous challenges of increasing water scarcity and the rising demand for agricultural products have highlighted the need for optimizing water usage. Volumetric water delivery has emerged as a method to enhance the efficiency of water distribution. To ensure consistent discharge and uniform distribution, the implementation of an automatic flow control valve in water networks is vital. These valves are designed to be unaffected by fluctuations in upstream and downstream water levels. This study evaluates the performance of an automatic flow control valve in regulating flow within a specific range of differential pressure, using experimental data. By utilizing supercomputers and numerical models, we employed computational fluid dynamics (CFD) simulations, particularly using Ansys Fluent software, to analyze the flow control valve. These simulations are aimed at solving complex hydraulic and mechanical issues. To reduce simulation time and computational expenses during dynamic runs, certain assumptions, including geometry simplifications, were made. The final outcomes of this numerical analysis are also discussed.

Methods

The valve was designed specifically for low head, i.e., agricultural applications, with a size chosen to handle a discharge rate of 3 L/s. Additionally, it can be installed in group to increase discharge capacity. A key advantage of this valve is its suitability for low discharge and low head conditions. The modular range of the automatic flow control valve extends from 35 to 165 cm. Unique experimental data were compiled to verify the numerical model results. The numerical simulation was carried out using Ansys Fluent under two distinct conditions: in the first the full geometry details was used, which resulted in high computational execution time. In the second condition a simplified geometry was used that significantly reduced the run time while introducing a marginal systematic simulation deviation with that of the first results. A correction equation, derived from the CFD results, was proposed to estimate and correct the deviations caused by removing the guide rod from the geometry in the second.

Conclusion

Ansys Fluent was employed to simulate fluid flow through a discharge control valve. The numerical simulation led to the development of this valve to be applicable across a wide range of differential pressures and various discharge rates. Static validation was performed using experimental data, and the dynamic simulation was based on the mentioned validation. The error percentage in flow rate estimation was calculated. The simulation was also conducted after simplifying the geometry, and the error percentage was determined similarly. The two sets of results were compared with experimental data. The findings revealed that the removal of the guide rod generated small deviation form that of the full geometry simulation. However, a significant reduction in run time and ease of modeling was reached. Overall, Ansys Fluent proved to be a robust model for simulating the flow control valve with an acceptable margin of error.

Author Contributions

Conceptualization and methodology, Bijankhan M. and Kouchakzadeh .S.; software and validation, Chavoshi M.; formal analysis, all authors; investigation and data collection, Chavoshi. M. and Kouchakzadeh S.; resources, Kouchakzadeh S.; writing—original draft preparation, Chavoshi. M.; writing—review and editing, Kouchakzadeh. S. and Bijankhan M.; supervision, Kouchakzadeh. S. and Bijankhan. M.; project administration, Kouchakzadeh. S.; funding acquisition, Kouchakzadeh. S. All authors have read and agreed to the published version of the manuscript.”

Data Availability Statement

“Not applicable”

Acknowledgements

The first author would like to express her gratitude to Reza Amini for his assistance in troubleshooting software issues and offering fresh perspectives in using ANSYS. Also, she would like to thank Mr. A. Ghorbani the Lab technician for his assistance in constructing the experimental setup.

Ethical considerations

The authors avoided data fabrication, falsification, plagiarism, and misconduct.

Conflict of interest

The author declares no conflict of interest. 

Atashparvar, S., Bijankhan, M., & Mahdavi Mazdeh, A. (2019). Application of constant flow rate control valve in pump discharge regulation. Journal of Irrigation and Drainage Engineering, 145(7), 06019005.
Bos, M. G. (1976). Discharge measurement structures.
Daccache, A., Lamaddalena, N., & Fratino, U. (2010). On-demand pressurized water distribution system impacts on sprinkler network design and performance. Irrigation science, 28, 331-339.
Daneshfaraz, R., Abbaszadeh, H., Gorbanvatan, P., & Abdi, M. (2021). Application of sluice gate in different positions and its effect on hydraulic parameters in free-flow conditions. Journal of Hydraulic Structures, 7(3), 72-87.
Güngör, M., Yarar, U., Cantürk, Ü., & Fırat, M. (2019). Increasing performance of water distribution network by using pressure management and database integration. Journal of Pipeline Systems Engineering and Practice, 10(2), 04019003.
Han, J., Xie, Y., Wang, Y., & Wang, Q. (2021). Dynamic Simulation of a Warship Control Valve Based on a Mechanical-Electric-Fluid Cosimulation Model. Science and Technology of Nuclear Installations, 2021, 1-14.
Johansen, F. (1930). Flow through pipe orifices at low Reynolds numbers. Proceedings of the royal society of London. series A, containing Papers of a Mathematical and Physical character, 126(801), 231-245.
Korkmaz, N., & Avci, M. (2012). Evaluation of water delivery and irrigation performances at field level: The case of the menemen left bank irrigation district in Turkey. Indian Journal of Science and Technology, 5(2), 2079-2089.
Launder, B. E., & Spalding, D. B. (1983). The numerical computation of turbulent flows. In Numerical prediction of flow, heat transfer, turbulence and combustion (pp. 96-116). Elsevier.
Liu, M., Zhang, X., & Wang, D. (2021). Experimental study on the flow characteristics of a plate with a mechanically choked orifice. Fluid Dynamics & Materials Processing, 17 (1), 97-107.
Lisowski, E., & Filo, G. (2017). Analysis of a proportional control valve flow coefficient with the usage of a CFD method. Flow Measurement and Instrumentation, 53, 269-278.
Lisowski, E., & Rajda, J. (2013). CFD analysis of pressure loss during flow by hydraulic directional control valve constructed from logic valves. Energy Conversion and Management, 65, 285-291.
Jansson, L., & Lövmark, J. (2013). An investigation of the dynamic characteristics of a tilting disc check valve using CFD analyses.
Mehri, N., & Bijankhan, M. (2020). Experimental study on Automatic Valve Control Performance in Water Pipelines. Irrigation and Drainage Structures Engineering Research, 21(79), 129-140.
Paradise, B. (2014). Critical flow nozzle for controlling fuel distribution and burner stability. In: Google Patents.
Pourzand, A. (2007). A practical method for volumetric delivery of water. The Role of Irrigation and Drainage in a Sustainable Future, 3(6), 631-641.
Rahmeyer, W., & Driskell, L. (1985). Control valve flow coefficients. Journal of Transportation Engineering, 111(4), 358-364.
Rezazadeh, P., Bijankhan, M., & Mazdeh, A. M. (2019). An experimental study on a flow control device applicable in pressurized networks. Flow Measurement and Instrumentation, 68, 101533.
Rodriguez, S. B., & Fathi, N. (2017). Applied Computational Fluid Dynamics and Turbulence Modeling. No. SAND2017-13577B. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States), 121-196.
Saha, B. K., Chattopadhyay, H., Mandal, P. B., & Gangopadhyay, T. (2014). Dynamic simulation of a pressure regulating and shut-off valve. Computers & Fluids, 101, 233-240.
Süme, V., Daneshfaraz, R., Kerim, A., Abbaszadeh, H., & Abraham, J. (2024). Investigation of clean energy production in drinking water networks. Water Resources Management, 38(6), 2189-2208.
Surbey, D., Kelkar, B., & Brill, J. (1989). Study of multiphase critical flow through wellhead chokes. SPE Production Engineering, 4(02), 142-146.
Vos, J., & Vincent, L. (2011). Volumetric water control in a large-scale open canal irrigation system with many smallholders: The case of Chancay-Lambayeque in Peru. Agricultural Water Management, 98(4), 705-714.
kai Zhang, X., & Wang, D. (2015). A flow control device for incompressible fluids. Flow Measurement and Instrumentation, 41, 165-173.
Zhi-qing, W. (1982). Study on correction coefficients of laminar and turbulent entrance region effect in round pipe. Applied Mathematics and Mechanics, 3(3), 433-446.
Stares, J., Glaun, A., & Dresser, M. (2003). Simulation helps design more efficient control valve. Journal Articles by Fluent Software Users, JA, 188.
Oskouhi, M, & Esmaili, k. (2019). A historical Review of Turbulence Flow Modeling and Simulation in Hydraulics. Journal of Water and Sustainable Development, 5(2), 49-60. (In Persian).
Zare Abyaneh, H., Heidari, A., & Daneshkar Arasteh, P. (2019). Evaluation of Water Management Performance in Irrigation Network of Qazvin Plain. Iranian Society of Irrigation and Water Engineering, 10(2), 76-88. (In Persian).