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Many-Objective Hybrid Optimization Method for Impeller Profile Design of Low Specific Speed Centrifugal Pump in District Energy Systems

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  • Zheming Tong

    (State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Jiage Xin

    (State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Chengzhen Ling

    (Zhejiang Fuchunjiang Hydropower Equipment Co., Ltd., Hangzhou 311504, China)

Abstract

Low specific speed centrifugal pumps (LSSCP) are widely utilized in district energy systems to promote the integration of renewable energy. However, the performance of LSSCP becomes inefficient due to harsh operating conditions resulting in substantial increase in energy consumption. Many-objective optimization is significant in improving the performance of LSSCP and promoting the sustainability of district energy systems. Among the existing optimization methods, global optimization methods are limited by high computational cost when solving many-objective optimization problems, and gradient-based optimization methods face difficulties in locating the global optimum. In the present study, a hybrid optimization method was developed for solving many-objective optimization problems of LSSCP. The LSSCP optimization result of the hybrid algorithm was compared with that of the non-dominated sorting genetic algorithm (NSGA), so as to demonstrate the capacity of the proposed method. In the designed flow condition without cavitation, the hydraulic efficiency obtained by the hybrid optimization algorithm was found to be 9.5%, 5.4%, and 4.7% higher than those of the original, NSGA-II, and NSGA-III optimized results, respectively. The shaft power was 10.3%, 8.7% and 5.1% less than said three optimized results. The maximum turbulent kinetic energy in the flow passage obtained from the hybrid optimization was only 2.2 J/kg, which was 67% and 46% less than that of the NSGA-II and NSGA-III optimized results, respectively. In the designed flow condition with cavitation, the net positive suction head critical optimized by the hybrid model was 0.857 m, which was substantially reduced compared with the original and NSGA- II optimized results.

Suggested Citation

  • Zheming Tong & Jiage Xin & Chengzhen Ling, 2021. "Many-Objective Hybrid Optimization Method for Impeller Profile Design of Low Specific Speed Centrifugal Pump in District Energy Systems," Sustainability, MDPI, vol. 13(19), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10537-:d:641161
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    References listed on IDEAS

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    1. Ioan Sarbu & Emilian Stefan Valea, 2015. "Energy Savings Potential for Pumping Water in District Heating Stations," Sustainability, MDPI, vol. 7(5), pages 1-15, May.
    2. Zheming Tong & Zhewu Cheng & Shuiguang Tong, 2019. "Preliminary Design of Multistage Radial Turbines Based on Rotor Loss Characteristics under Variable Operating Conditions," Energies, MDPI, vol. 12(13), pages 1-15, July.
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    4. Beatriz María Paredes-Sánchez & José Pablo Paredes & Natalia Caparrini & Elena Rivo-López, 2021. "Analysis of District Heating and Cooling Energy Systems in Spain: Resources, Technology and Management," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    5. Tong, Zheming & Cheng, Zhewu & Tong, Shuiguang, 2021. "A review on the development of compressed air energy storage in China: Technical and economic challenges to commercialization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
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    Cited by:

    1. Zilong Hu & Di Zhu & Ruofu Xiao & Ran Tao, 2023. "Comparative Evaluation of the Immersed-Solid Method for Simulating the Flow Field around Hydrofoil," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    2. Zheming Tong & Zhongqin Yang & Qing Huang & Qiang Yao, 2022. "Numerical Modeling of the Hydrodynamic Performance of Slanted Axial-Flow Urban Drainage Pumps at Shut-Off Condition," Energies, MDPI, vol. 15(5), pages 1-17, March.

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