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Modeling and optimization of a wastewater pumping system with data-mining methods

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  • Zhang, Zijun
  • Kusiak, Andrew
  • Zeng, Yaohui
  • Wei, Xiupeng

Abstract

In this paper, a data-driven framework for improving the performance of wastewater pumping systems has been developed by fusing knowledge including the data mining, mathematical modeling, and computational intelligence. Modeling pump system performance in terms of the energy consumption and pumped wastewater flow rate based on industrial data with neural networks is examined. A bi-objective optimization model incorporating data-driven components is formulated to minimize the energy consumption and maximize the pumped wastewater flow rate. An adaptive mechanism is developed to automatically determine weights associated with two objectives by considering the wet well level and influent flow rate. The optimization model is solved by an artificial immune network algorithm. A comparative analysis between the optimization results and the observed data is performed to demonstrate the improvement of the pumping system performance. Results indicate that saving energy while maintaining the pumping performance is potentially achievable with the proposed data-driven framework.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:164:y:2016:i:c:p:303-311
    DOI: 10.1016/j.apenergy.2015.11.061
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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. Welsby, P. & Pezzani, M. & Devotta, S. & Diggory, P. J. & Guy, J. J., 1988. "Steady- and dynamic-state simulations of heat-pumps. Part II: Modelling of a motor driven water-to-water heat-pump," Applied Energy, Elsevier, vol. 31(4), pages 239-262.
    3. Sturm, Belinda S.M. & Lamer, Stacey L., 2011. "An energy evaluation of coupling nutrient removal from wastewater with algal biomass production," Applied Energy, Elsevier, vol. 88(10), pages 3499-3506.
    4. Zhang, Zijun & Zeng, Yaohui & Kusiak, Andrew, 2012. "Minimizing pump energy in a wastewater processing plant," Energy, Elsevier, vol. 47(1), pages 505-514.
    5. Zhang, Xiaolei & Yan, Song & Tyagi, Rajeshwar D. & Surampalli, RaoY. & Valéro, Jose R., 2014. "Wastewater sludge as raw material for microbial oils production," Applied Energy, Elsevier, vol. 135(C), pages 192-201.
    6. Favoino, Fabio & Overend, Mauro & Jin, Qian, 2015. "The optimal thermo-optical properties and energy saving potential of adaptive glazing technologies," Applied Energy, Elsevier, vol. 156(C), pages 1-15.
    7. Holbrook, Gabriel P. & Davidson, Zachary & Tatara, Robert A. & Ziemer, Norbert L. & Rosentrater, Kurt A. & Scott Grayburn, W., 2014. "Use of the microalga Monoraphidium sp. grown in wastewater as a feedstock for biodiesel: Cultivation and fuel characteristics," Applied Energy, Elsevier, vol. 131(C), pages 386-393.
    8. Krzysztof C. Kiwiel & Torbjörn Larsson & P. O. Lindberg, 2007. "Lagrangian Relaxation via Ballstep Subgradient Methods," Mathematics of Operations Research, INFORMS, vol. 32(3), pages 669-686, August.
    9. Hugh Everett, 1963. "Generalized Lagrange Multiplier Method for Solving Problems of Optimum Allocation of Resources," Operations Research, INFORMS, vol. 11(3), pages 399-417, June.
    10. Chen, Guanyi & Zhao, Liu & Qi, Yun, 2015. "Enhancing the productivity of microalgae cultivated in wastewater toward biofuel production: A critical review," Applied Energy, Elsevier, vol. 137(C), pages 282-291.
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    Cited by:

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    10. 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).
    11. Oreste Fecarotta & Armando Carravetta & Maria Cristina Morani & Roberta Padulano, 2018. "Optimal Pump Scheduling for Urban Drainage under Variable Flow Conditions," Resources, MDPI, vol. 7(4), pages 1-20, November.
    12. Vo, Nguyen Dat & Oh, Dong Hoon & Kang, Jun-Ho & Oh, Min & Lee, Chang-Ha, 2020. "Dynamic-model-based artificial neural network for H2 recovery and CO2 capture from hydrogen tail gas," Applied Energy, Elsevier, vol. 273(C).
    13. Zhang, Chaobo & Xue, Xue & Zhao, Yang & Zhang, Xuejun & Li, Tingting, 2019. "An improved association rule mining-based method for revealing operational problems of building heating, ventilation and air conditioning (HVAC) systems," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    14. Xiaoli Feng & Baoyun Qiu & Yongxing Wang, 2020. "Optimizing Parallel Pumping Station Operations in an Open-Channel Water Transfer System Using an Efficient Hybrid Algorithm," Energies, MDPI, vol. 13(18), pages 1-19, September.
    15. Olszewski, Pawel & Arafeh, Jamal, 2018. "Parametric analysis of pumping station with parallel-configured centrifugal pumps towards self-learning applications," Applied Energy, Elsevier, vol. 231(C), pages 1146-1158.
    16. Prince, & Hati, Ananda Shankar, 2021. "A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    17. Levon Gevorkov & José Luis Domínguez-García & Lluis Trilla Romero, 2022. "Review on Solar Photovoltaic-Powered Pumping Systems," Energies, MDPI, vol. 16(1), pages 1-21, December.
    18. Panagiotis Karadimos & Leonidas Anthopoulos, 2023. "Machine Learning-Based Energy Consumption Estimation of Wastewater Treatment Plants in Greece," Energies, MDPI, vol. 16(21), pages 1-20, November.

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