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Data analytics and pump control in a wastewater treatment plant

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  • Johnson, Hilary A.
  • Simon, Kevin P.
  • Slocum, Alexander H.

Abstract

This paper analyzes data from ten 2,610 kW centrifugal pumps in a large wastewater treatment facility in order to identify efficiency opportunities, evaluate efficiency metrics, and assess applicability of operating space analysis. Three efficiency interventions are evaluated: pump maintenance, ranking and utilizing the most efficient pumps, and reducing the number of pumps operating during low flow periods. Systemic energy savings of 4.3%, 809,000 kWh annually, were identified. Applying average and true weighted efficiency to datasets with hourly and 5 min sampling rates demonstrates the effects of efficiency metric selection. Operating space analysis is introduced as a method of intersecting pump and system spaces. It is used to evaluate how methods of pump control, such as variable speed drives, affect the performance of a system. Results show that specific energy and maximum efficiency occur at slightly different operating points in the case study example, thus illustrating the utility of specific energy in control optimizations. Operating space analysis may simplify data mining for pumped systems, improve control algorithms, and chart opportunities for next-generation control technologies and further research.

Suggested Citation

  • Johnson, Hilary A. & Simon, Kevin P. & Slocum, Alexander H., 2021. "Data analytics and pump control in a wastewater treatment plant," Applied Energy, Elsevier, vol. 299(C).
    • Handle: RePEc:eee:appene:v:299:y:2021:i:c:s0306261921007030
    DOI: 10.1016/j.apenergy.2021.117289
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    References listed on IDEAS

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    1. Plappally, A.K. & Lienhard V, J.H., 2012. "Energy requirements for water production, treatment, end use, reclamation, and disposal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4818-4848.
    2. Zhang, Zijun & Kusiak, Andrew & Zeng, Yaohui & Wei, Xiupeng, 2016. "Modeling and optimization of a wastewater pumping system with data-mining methods," Applied Energy, Elsevier, vol. 164(C), pages 303-311.
    3. Filipe, Jorge & Bessa, Ricardo J. & Reis, Marisa & Alves, Rita & Póvoa, Pedro, 2019. "Data-driven predictive energy optimization in a wastewater pumping station," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    4. 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. 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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