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Optimal Pump Scheduling for Urban Drainage under Variable Flow Conditions

Author

Listed:
  • Oreste Fecarotta

    (Department of Civil, Architectural and Environmental Engineering, University of Naples “Federico II”, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Armando Carravetta

    (Department of Civil, Architectural and Environmental Engineering, University of Naples “Federico II”, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Maria Cristina Morani

    (Department of Civil, Architectural and Environmental Engineering, University of Naples “Federico II”, 80125 Naples, Italy
    These authors contributed equally to this work.)

  • Roberta Padulano

    (Regional Models and Geo-Hydrological Impacts (REMHI), CMCC Foundation (Euro Mediterranean Center on Climate Change), Via Maiorise, 81043 Capua, Italy
    These authors contributed equally to this work.)

Abstract

The paper is focused on the optimal scheduling of a drainage pumping station, complying with variations in the pump rotational speed and a recurrent pattern for the inflow discharge. The paper is structured in several consecutive steps. In the first step, the experimental set-up is described and results of calibration tests on different pumping machines are presented to obtain equations linking significant variables (discharge, head, power, efficiency). Then, those equations are utilized to build a mixed-integer optimization model able to find the scheduling solution that minimizes required pumping energy. The model is solved with respect to a case study referred to a urban drainage system in Naples (Italy) and optimization results are analysed to provide insights on the algorithm computational performance and on the influence of pumping machine characteristics on the overall efficiency savings. With reference to the simulated scenarios, an average value of 32% energy can be saved with an optimized control. Its actual value depends on the hydraulic characteristics of the system.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jresou:v:7:y:2018:i:4:p:73-:d:182502
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    References listed on IDEAS

    as
    1. Armando Carravetta & Oreste Fecarotta & Umberto Maria Golia & Michele Rocca & Riccardo Martino & Roberta Padulano & Tullio Tucciarelli, 2016. "Optimization of Osmotic Desalination Plants for Water Supply Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3965-3978, September.
    2. Carravetta, A. & Fecarotta, O. & Ramos, H.M., 2018. "A new low-cost installation scheme of PATs for pico-hydropower to recover energy in residential areas," Renewable Energy, Elsevier, vol. 125(C), pages 1003-1014.
    3. Roberta Padulano & Giuseppe Giudice, 2018. "A Mixed Strategy Based on Self-Organizing Map for Water Demand Pattern Profiling of Large-Size Smart Water Grid Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(11), pages 3671-3685, September.
    4. Ioannis Kougias & Nicolaos Theodossiou, 2013. "Multiobjective Pump Scheduling Optimization Using Harmony Search Algorithm (HSA) and Polyphonic HSA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1249-1261, March.
    5. Oreste Fecarotta & Aonghus McNabola, 2017. "Optimal Location of Pump as Turbines (PATs) in Water Distribution Networks to Recover Energy and Reduce Leakage," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 5043-5059, December.
    6. 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.
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