IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i10p2530-d359025.html
   My bibliography  Save this article

Optimal Regulation of Pumping Station in Water Distribution Networks Using Constant and Variable Speed Pumps: A Technical and Economical Comparison

Author

Listed:
  • Luigi Cimorelli

    (Department of Civil, Architectural and Environmental Engineering, Federico II University, 80125 Naples, Italy)

  • Carmine Covelli

    (Department of Biotechnology and Territory, University of Molise, 86100 Campobasso, Italy)

  • Bruno Molino

    (Department of Biotechnology and Territory, University of Molise, 86100 Campobasso, Italy)

  • Domenico Pianese

    (Department of Civil, Architectural and Environmental Engineering, Federico II University, 80125 Naples, Italy)

Abstract

Greenhouse gas emission is one of the main environmental issues of today, and energy savings in all industries contribute to reducing energy demand, implying, in turn, less carbon emissions into the atmosphere. In this framework, water pumping systems are one of the most energy-consuming activities. The optimal regulation of pumping systems with the use of variable speed drives is gaining the attention of designers and managing authorities. However, optimal management and operation of pumping systems is often performed, employing variable speed drives without considering if the energy savings are enough to justify their purchasing and installation costs. In this paper, the authors compare two optimal pump scheduling techniques, optimal regulation of constant speed pumps by an optimal ON/OFF sequence and optimal regulation with a variable speed pump. Much of the attention is devoted to the analysis of the costs involved in a hypothetical managing authority for the water distribution system in order to determine whether the savings in operating costs is enough to justify the employment of variable speed drives.

Suggested Citation

  • Luigi Cimorelli & Carmine Covelli & Bruno Molino & Domenico Pianese, 2020. "Optimal Regulation of Pumping Station in Water Distribution Networks Using Constant and Variable Speed Pumps: A Technical and Economical Comparison," Energies, MDPI, vol. 13(10), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2530-:d:359025
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/10/2530/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/10/2530/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mauro De Marchis & Barbara Milici & Roberto Volpe & Antonio Messineo, 2016. "Energy Saving in Water Distribution Network through Pump as Turbine Generators: Economic and Environmental Analysis," Energies, MDPI, vol. 9(11), pages 1-15, October.
    2. M. Pasha & Kevin Lansey, 2014. "Strategies to Develop Warm Solutions for Real-Time Pump Scheduling for Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 3975-3987, September.
    3. Yasaman Makaremi & Ali Haghighi & Hamid Reza Ghafouri, 2017. "Optimization of Pump Scheduling Program in Water Supply Systems Using a Self-Adaptive NSGA-II; a Review of Theory to Real Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1283-1304, March.
    4. L. Cimorelli & F. Morlando & L. Cozzolino & A. D’Aniello & D. Pianese, 2018. "Comparison Among Resilience and Entropy Index in the Optimal Rehabilitation of Water Distribution Networks Under Limited-Budgets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 3997-4011, September.
    5. A. Candelieri & R. Perego & F. Archetti, 2018. "Bayesian optimization of pump operations in water distribution systems," Journal of Global Optimization, Springer, vol. 71(1), pages 213-235, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zilei Zuo & Linwei Tan & Weidong Shi & Cheng Chen & Jincheng Ye & Egbo Munachi Francis, 2022. "Transient Characteristic Analysis of Variable Frequency Speed Regulation of Axial Flow Pump," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    2. Gencho Popov & Stanislaw Legutko & Kliment Klimentov & Boris Kostov, 2021. "Applying Criteria Equations in Studying the Energy Efficiency of Pump Systems," Energies, MDPI, vol. 14(17), pages 1-13, August.
    3. Przemysław Średziński & Martyna Świętochowska & Kamil Świętochowski & Joanna Gwoździej-Mazur, 2022. "Analysis of the Use of the PV Installation in the Power Supply of the Water Pumping Station," Energies, MDPI, vol. 15(24), pages 1-13, December.
    4. Mehdi Dini & Mozhdeh Hemmati & Saeed Hashemi, 2022. "Optimal Operational Scheduling of Pumps to Improve the Performance of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 417-432, January.
    5. Miguel Ángel Pardo & Héctor Fernández & Antonio Jodar-Abellan, 2020. "Converting a Water Pressurized Network in a Small Town into a Solar Power Water System," Energies, MDPI, vol. 13(15), pages 1-26, August.
    6. Xuetao Wang & Qianchuan Zhao & Yifan Wang, 2020. "A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems," Energies, MDPI, vol. 13(15), pages 1-24, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ngandu Balekelayi & Haile Woldesellasse & Solomon Tesfamariam, 2022. "Comparison of the Performance of a Surrogate Based Gaussian Process, NSGA2 and PSO Multi-objective Optimization of the Operation and Fuzzy Structural Reliability of Water Distribution System: Case Stu," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 6169-6185, December.
    2. Yasaman Makaremi & Ali Haghighi & Hamid Reza Ghafouri, 2017. "Optimization of Pump Scheduling Program in Water Supply Systems Using a Self-Adaptive NSGA-II; a Review of Theory to Real Application," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1283-1304, March.
    3. Sinagra, Marco & Aricò, Costanza & Tucciarelli, Tullio & Morreale, Gabriele, 2020. "Experimental and numerical analysis of a backpressure Banki inline turbine for pressure regulation and energy production," Renewable Energy, Elsevier, vol. 149(C), pages 980-986.
    4. Irene Samora & Mário Franca & Anton Schleiss & Helena Ramos, 2016. "Simulated Annealing in Optimization of Energy Production in a Water Supply Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1533-1547, March.
    5. Maria Cunha & João Marques & Dragan Savić, 2020. "A Flexible Approach for the Reinforcement of Water Networks Using Multi-Criteria Decision Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(14), pages 4469-4490, November.
    6. Venturini, Mauro & Manservigi, Lucrezia & Alvisi, Stefano & Simani, Silvio, 2018. "Development of a physics-based model to predict the performance of pumps as turbines," Applied Energy, Elsevier, vol. 231(C), pages 343-354.
    7. Krityakierne, Tipaluck & Baowan, Duangkamon, 2020. "Aggregated GP-based Optimization for Contaminant Source Localization," Operations Research Perspectives, Elsevier, vol. 7(C).
    8. Mauro Venturini & Stefano Alvisi & Silvio Simani & Lucrezia Manservigi, 2018. "Comparison of Different Approaches to Predict the Performance of Pumps As Turbines (PATs)," Energies, MDPI, vol. 11(4), pages 1-17, April.
    9. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    10. Mehdi Dini & Mozhdeh Hemmati & Saeed Hashemi, 2022. "Optimal Operational Scheduling of Pumps to Improve the Performance of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 417-432, January.
    11. Shojaeefard, Mohammad Hassan & Saremian, Salman, 2022. "Effects of impeller geometry modification on performance of pump as turbine in the urban water distribution network," Energy, Elsevier, vol. 255(C).
    12. Yu Shao & Yanxi Yu & Tingchao Yu & Shipeng Chu & Xiaowei Liu, 2019. "Leakage Control and Energy Consumption Optimization in the Water Distribution Network Based on Joint Scheduling of Pumps and Valves," Energies, MDPI, vol. 12(15), pages 1-18, August.
    13. Petras Punys & Linas Jurevičius, 2022. "Assessment of Hydropower Potential in Wastewater Systems and Application in a Lowland Country, Lithuania," Energies, MDPI, vol. 15(14), pages 1-23, July.
    14. Gao, Wei & Feng, Xiao, 2017. "The power target of a fluid machinery network in a circulating water system," Applied Energy, Elsevier, vol. 205(C), pages 847-854.
    15. 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.
    16. Kandi, Ali & Moghimi, Mahdi & Tahani, Mojtaba & Derakhshan, Shahram, 2021. "Optimization of pump selection for running as turbine and performance analysis within the regulation schemes," Energy, Elsevier, vol. 217(C).
    17. Liu, Ming & Tan, Lei & Cao, Shuliang, 2019. "Theoretical model of energy performance prediction and BEP determination for centrifugal pump as turbine," Energy, Elsevier, vol. 172(C), pages 712-732.
    18. Andrés Ortega-Ballesteros & David Muñoz-Rodríguez & Alberto-Jesus Perea-Moreno, 2022. "Advances in Leakage Control and Energy Consumption Optimization in Drinking Water Distribution Networks," Energies, MDPI, vol. 15(15), pages 1-5, July.
    19. Luis Henrique Magalhães Costa & Bruno Prata & Helena M. Ramos & Marco Aurélio Holanda Castro, 2016. "A Branch-and-Bound Algorithm for Optimal Pump Scheduling in Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1037-1052, February.
    20. Tsai, Wen-Ping & Cheng, Chung-Lien & Uen, Tinn-Shuan & Zhou, Yanlai & Chang, Fi-John, 2019. "Drought mitigation under urbanization through an intelligent water allocation system," Agricultural Water Management, Elsevier, vol. 213(C), pages 87-96.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2530-:d:359025. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.