IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v29y2015i11p4185-4201.html
   My bibliography  Save this article

An Optimization Approach to Leak Detection in Pipe Networks Using Simulated Annealing

Author

Listed:
  • Yen-Chen Huang
  • Chao-Chin Lin
  • Hund-Der Yeh

Abstract

A numerical approach, named as leak detection simulated annealing (LDSA), is developed based on the combination of transient flow simulations and simulated annealing to detect leaks in a pipe network. In the LDSA framework, an analysis model for pipe networks is first used to determine the steady-state nodal head solution of the network. For detecting the leaks, a valve closing suddenly at downstream side of the network is designed to create a transient event and then the method of characteristic is applied to simulate the transient flow in the network. Results from an experiment on leak detection in a single pipeline presented in the literature are used to verify the capability of LDSA in identifying the leaks. The result shows that the leaks represented by orifices in two cases can be accurately detected. The effect of C d A (discharge coefficient times effective area of orifice) on the detection is evaluated. In addition, three scenarios with three cases in each scenario are designed to test the performance of LDSA in numerical experimental studies for a synthetic network. For a very small value of C d A, it is found that the use of multiple observation points can increase the detection capability. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Yen-Chen Huang & Chao-Chin Lin & Hund-Der Yeh, 2015. "An Optimization Approach to Leak Detection in Pipe Networks Using Simulated Annealing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 4185-4201, September.
  • Handle: RePEc:spr:waterr:v:29:y:2015:i:11:p:4185-4201
    DOI: 10.1007/s11269-015-1053-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-015-1053-4
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11269-015-1053-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sara Nazif & Mohammad Karamouz & Massoud Tabesh & Ali Moridi, 2010. "Pressure Management Model for Urban Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(3), pages 437-458, February.
    2. Ali Haghighi & Helena Ramos, 2012. "Detection of Leakage Freshwater and Friction Factor Calibration in Drinking Networks Using Central Force Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2347-2363, June.
    3. Cher Ming Tan (ed.), 2008. "Simulated Annealing," Books, IntechOpen, number 37, January-J.
    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. Mahdi Abravani & Hassan Saghi, 2017. "Introducing a Novel Flexible Conjunction System to Pressure Control 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. 31(13), pages 4323-4338, October.
    2. Zheng, Jianqin & Wang, Chang & Liang, Yongtu & Liao, Qi & Li, Zhuochao & Wang, Bohong, 2022. "Deeppipe: A deep-learning method for anomaly detection of multi-product pipelines," Energy, Elsevier, vol. 259(C).

    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. Gustavo Meirelles & Daniel Manzi & Bruno Brentan & Thaisa Goulart & Edevar Luvizotto, 2017. "Calibration Model for Water Distribution Network Using Pressures Estimated by Artificial Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4339-4351, October.
    2. Shengnan Wang & Chunguang Li, 2018. "Distributed Stochastic Algorithm for Global Optimization in Networked System," Journal of Optimization Theory and Applications, Springer, vol. 179(3), pages 1001-1007, December.
    3. Nogueira Vilanova, Mateus Ricardo & Perrella Balestieri, José Antônio, 2014. "Energy and hydraulic efficiency in conventional water supply systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 701-714.
    4. Chi Zhang & Jinzhe Gong & Martin F. Lambert & Angus R. Simpson & Aaron C. Zecchin, 2019. "Sensor Placement Strategy for Pipeline Condition Assessment Using Inverse Transient Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2761-2774, June.
    5. D. Mora-Melia & P. Iglesias-Rey & F. Martinez-Solano & V. Fuertes-Miquel, 2013. "Design of Water Distribution Networks using a Pseudo-Genetic Algorithm and Sensitivity of Genetic Operators," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4149-4162, September.
    6. Sanghyun Kim, 2019. "Valve Maneuver Prediction in Simple and Complicated Pipeline Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(14), pages 4671-4685, November.
    7. Aditya Gupta & K. D. Kulat, 2018. "A Selective Literature Review on Leak Management Techniques for Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3247-3269, August.
    8. 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.
    9. Qiang Xu & Qiuwen Chen & Jinfeng Ma & Koen Blanckaert & Zhonghua Wan, 2014. "Water Saving and Energy Reduction through Pressure Management in Urban Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3715-3726, September.
    10. Roberto Magini & Manuela Moretti & Maria Antonietta Boniforti & Roberto Guercio, 2023. "A Machine-Learning Approach for Monitoring Water Distribution Networks (WDNs)," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    11. Iman Ahmadianfar & Bijay Halder & Salim Heddam & Leonardo Goliatt & Mou Leong Tan & Zulfaqar Sa’adi & Zainab Al-Khafaji & Raad Z. Homod & Tarik A. Rashid & Zaher Mundher Yaseen, 2023. "An Enhanced Multioperator Runge–Kutta Algorithm for Optimizing Complex Water Engineering Problems," Sustainability, MDPI, vol. 15(3), pages 1-28, January.
    12. Aditya Gupta & Neeraj Bokde & K. D. Kulat, 2018. "Hybrid Leakage Management for Water Network Using PSF Algorithm and Soft Computing Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 1133-1151, February.
    13. Salvador Saz-Salazar & Miguel García-Rubio & Francisco González-Gómez & Andrés Picazo-Tadeo, 2016. "Managing Water Resources Under Conditions of Scarcity: On Consumers’ Willingness to Pay for Improving Water Supply Infrastructure," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1723-1738, March.
    14. Mansouri, R., 2018. "Economical Optimization of the Pressure Irrigation Networks by using Developed Central Force Optimization Algorithm," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275982, International Association of Agricultural Economists.
    15. Enrico Creaco & Marco Franchini & Stefano Alvisi, 2010. "Optimal Placement of Isolation Valves in Water Distribution Systems Based on Valve Cost and Weighted Average Demand Shortfall," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4317-4338, December.
    16. Ali Haghighi, 2015. "Analysis of Transient Flow Caused by Fluctuating Consumptions in Pipe Networks: A Many-Objective Genetic Algorithm Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2233-2248, May.
    17. Abbas Afshar & Hamideh Kazemi & Motahareh Saadatpour, 2011. "Particle Swarm Optimization for Automatic Calibration of Large Scale Water Quality Model (CE-QUAL-W2): Application to Karkheh Reservoir, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2613-2632, August.
    18. Sang Hyun Kim, 2018. "Development of Multiple Leakage Detection Method for a Reservoir Pipeline Valve System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2099-2112, April.
    19. Vilanova, Mateus Ricardo Nogueira & Balestieri, José Antônio Perrella, 2015. "Modeling of hydraulic and energy efficiency indicators for water supply systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 540-557.
    20. Nikolai Gorev & Inna Kodzhespirova & Yuriy Kovalenko & Rogelio Álvarez & Eugenio Prokhorov & Alfredo Ramos, 2011. "Evolutionary Testing of Hydraulic Simulator Functionality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(8), pages 1935-1947, June.

    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:spr:waterr:v:29:y:2015:i:11:p:4185-4201. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.