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    Economically Optimal Leak Management: Balancing Pressure Reduction, Energy Recovery, and Leak Detection and Repair

    Source: Journal of Water Resources Planning and Management:;2024:;Volume ( 150 ):;issue: 008::page 04024025-1
    Author:
    Charles Hammond
    ,
    Robert Good
    ,
    Frank Loge
    DOI: 10.1061/JWRMD5.WRENG-6428
    Publisher: American Society of Civil Engineers
    Abstract: Maximizing the net economic benefits of leak management programs provides the most value to water utilities and their customers. Leak management programs with alternative objectives (e.g., to “break even” or to maximize leak reduction) are not necessarily the most efficient use of resources. Combining hydraulic modeling with principles of economics and using a real distribution system to provide a case study, we present a methodology for maximizing the net economic benefits of a leak management program consisting of leak detection and repair activities and pressure management interventions. The optimization results include recommended leak detection and repair intervals for individual district metered areas, optimal siting of both pressure reducing valves and pumps-as-turbines (PATs), and modifications to the distribution system’s connectivity to isolate high-pressure areas. The case study results indicate that 10% to 11% of the system’s current energy use can be recovered by PATs and that the avoided leakage over the study period is equivalent to 13% to 23% of the system’s current customer demand. While leak detection and repair and pressure management are more commonly considered independently, this analysis demonstrates the feasibility of including their interdependencies when optimizing a leak management program, resulting in more useful recommendations.
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      Economically Optimal Leak Management: Balancing Pressure Reduction, Energy Recovery, and Leak Detection and Repair

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    contributor authorCharles Hammond
    contributor authorRobert Good
    contributor authorFrank Loge
    date accessioned2024-12-24T10:09:23Z
    date available2024-12-24T10:09:23Z
    date copyright8/1/2024 12:00:00 AM
    date issued2024
    identifier otherJWRMD5.WRENG-6428.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298402
    description abstractMaximizing the net economic benefits of leak management programs provides the most value to water utilities and their customers. Leak management programs with alternative objectives (e.g., to “break even” or to maximize leak reduction) are not necessarily the most efficient use of resources. Combining hydraulic modeling with principles of economics and using a real distribution system to provide a case study, we present a methodology for maximizing the net economic benefits of a leak management program consisting of leak detection and repair activities and pressure management interventions. The optimization results include recommended leak detection and repair intervals for individual district metered areas, optimal siting of both pressure reducing valves and pumps-as-turbines (PATs), and modifications to the distribution system’s connectivity to isolate high-pressure areas. The case study results indicate that 10% to 11% of the system’s current energy use can be recovered by PATs and that the avoided leakage over the study period is equivalent to 13% to 23% of the system’s current customer demand. While leak detection and repair and pressure management are more commonly considered independently, this analysis demonstrates the feasibility of including their interdependencies when optimizing a leak management program, resulting in more useful recommendations.
    publisherAmerican Society of Civil Engineers
    titleEconomically Optimal Leak Management: Balancing Pressure Reduction, Energy Recovery, and Leak Detection and Repair
    typeJournal Article
    journal volume150
    journal issue8
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/JWRMD5.WRENG-6428
    journal fristpage04024025-1
    journal lastpage04024025-10
    page10
    treeJournal of Water Resources Planning and Management:;2024:;Volume ( 150 ):;issue: 008
    contenttypeFulltext
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