INTEGRATED CFD AND DIGITAL MODELING APPROACH FOR ENERGY-EFFICIENT OPERATION OF DEEP-WELL WATER SUPPLY SYSTEMS
Keywords:
Deep-well water supply, CFD modeling, ANSYS Fluent, energy efficiency, digital modeling, hydraulic optimization.Abstract
Deep-well water supply systems are characterized by significant hydraulic losses and high energy consumption, especially at depths exceeding 150–200 m. Traditional design and operational approaches often rely on simplified hydraulic calculations, which limit the potential for energy optimization. This paper presents an integrated approach combining Computational Fluid Dynamics (CFD) modeling and digital monitoring concepts to improve the energy efficiency of deep-well water supply systems. A three-dimensional CFD model of the well–pump–pipeline system was developed using ANSYS Fluent to analyze flow behavior, pressure distribution, and hydraulic losses under different operating conditions. The simulation results were used to evaluate pump power demand and identify optimal flow regimes with reduced energy consumption. In addition, a digital modeling framework for real-time monitoring and operational optimization based on sensor data is proposed. The results demonstrate that CFD-based optimization enables a significant reduction in pressure losses and pump energy consumption compared to conventional calculation methods. The proposed integrated methodology provides a practical decision-support tool for the design and operation of energy-efficient water supply systems and contributes to the digital transformation of hydraulic infrastructure.
References
[1] L. A. Rossman, Computer Models/Computer Tools, Water Distribution Systems Handbook. New York, NY, USA: McGraw-Hill, 2000.
[2] M. J. Ramos, J. A. Delgado, and A. Covas, “Energy efficiency in water supply systems: A review,” Renewable and Sustainable Energy Reviews, vol. 15, no. 8, pp. 3657–3668, 2011.
[3] A. W. Mays, Water Distribution Systems Handbook. New York, NY, USA: McGraw-Hill, 2000.
[4] H. K. Versteeg and W. Malalasekera, An Introduction to Computational Fluid Dynamics: The Finite Volume Method, 2nd ed. Harlow, UK: Pearson Education, 2007.
[5] ANSYS Inc., ANSYS Fluent Theory Guide, Release 2023 R1, Canonsburg, PA, USA, 2023.
[6] A. Covas and J. Ramos, “Case studies of energy optimization in water supply systems,” Journal of Water Resources Planning and Management, vol. 136, no. 2, pp. 205–213, 2010.
[7] S. Menke, P. Abrahamsson, and J. Nylander, “Digital twins for water infrastructure: A review,” Water, vol. 13, no. 19, Art. no. 2709, 2021.
[8] D. C. Montgomery and G. C. Runger, Applied Statistics and Probability for Engineers, 6th ed. Hoboken, NJ, USA: Wiley, 2014.
[9] J. Wu, Z. Wang, and H. Li, “CFD analysis of pressure loss and flow characteristics in vertical pipelines,” Applied Thermal Engineering, vol. 102, pp. 800–809, 2016.
[10] A. J. Simpson and G. C. Dandy, “Energy efficient pump scheduling in water distribution systems,” Journal of Water Resources Planning and Management, vol. 135, no. 6, pp. 423–432, 2009.
[11] M. A. El-Ghandour, “Energy consumption analysis of deep well pumping systems,” Energy and Buildings, vol. 43, no. 2–3, pp. 600–605, 2011.
J. Wang, Y. Chen, and L. Zhang, “Integration of CFD modeling and real-time monitoring for smart water systems,” Sustainable Cities and Society, vol. 54, Art. no. 101936, 2020.
[13] M. A. U. Musajonov and D. Z. Umarova, “Engineering communications of buildings,” *Issues of Science and Education*, no. 8 (20), pp. 30–31, 2018.
