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Improving energy efficiency of individual centrifugal pump systems using model-free and on-line optimization methods

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  • Hieninger, Thomas
  • Schmidt-Vollus, Ronald
  • Schlücker, Eberhard

Abstract

Pump systems around the world account for a high percentage of electrical energy consumption. The energy efficiency of these systems can be improved using control algorithms to determine appropriate operating points. The problem that arises is that computed operating points deviate from real operating points. This is due to deviations of the affinity laws, inaccurate information about pump characteristics, and plant behavior. In order to address this problem, we will present model-free optimization methods that can optimize various pump systems during ongoing operation. First, we will classify different pump systems. Based on this categorization, we will then analyze characteristic systems with regard to their energetic optimum. The resulting findings will enable us to identify suitable optimization algorithms. These model-free optimization algorithms take the form of an extremum seeking control in combination with a Kalman filter, the Nelder Mead algorithm, and a dynamic optimization method. After describing these algorithms, we will optimize and validate three sample classes of pump systems using the respective appropriate optimization strategy. The three classes represent a single-pump system, a multiple parallel pump system and a pump storage system. We can see that all optimization strategies achieve the energetic optimum. We can identify savings of between 7.9% and 50%, depending on the system in question. Finally, we will present a best-fit model-free optimization strategy for each class, and system operators can employ this strategy to ensure energy-optimized operation of their specific system.

Suggested Citation

  • Hieninger, Thomas & Schmidt-Vollus, Ronald & Schlücker, Eberhard, 2021. "Improving energy efficiency of individual centrifugal pump systems using model-free and on-line optimization methods," Applied Energy, Elsevier, vol. 304(C).
  • Handle: RePEc:eee:appene:v:304:y:2021:i:c:s0306261921007236
    DOI: 10.1016/j.apenergy.2021.117311
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    References listed on IDEAS

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    1. Luis Rios & Nikolaos Sahinidis, 2013. "Derivative-free optimization: a review of algorithms and comparison of software implementations," Journal of Global Optimization, Springer, vol. 56(3), pages 1247-1293, July.
    2. Coelho, B. & Andrade-Campos, A., 2014. "Efficiency achievement in water supply systems—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 59-84.
    3. Arun Shankar, Vishnu Kalaiselvan & Umashankar, Subramaniam & Paramasivam, Shanmugam & Hanigovszki, Norbert, 2016. "A comprehensive review on energy efficiency enhancement initiatives in centrifugal pumping system," Applied Energy, Elsevier, vol. 181(C), pages 495-513.
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    Cited by:

    1. Li, Wei & Yang, Qiaoyue & Yang, Yi & Ji, Leilei & Shi, Weidong & Agarwal, Ramesh, 2024. "Optimization of pump transient energy characteristics based on response surface optimization model and computational fluid dynamics," Applied Energy, Elsevier, vol. 362(C).
    2. Manickavel Baranidharan & Rassiah Raja Singh, 2022. "AI Energy Optimal Strategy on Variable Speed Drives for Multi-Parallel Aqua Pumping System," Energies, MDPI, vol. 15(12), pages 1-29, June.
    3. Zhiqiang Yin & Lin Shi & Junru Luo & Shoukun Xu & Yang Yuan & Xinxin Tan & Jiaqun Zhu, 2023. "Pump Feature Construction and Electrical Energy Consumption Prediction Based on Feature Engineering and LightGBM Algorithm," Sustainability, MDPI, vol. 15(1), pages 1-17, January.

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