Optimal Scheduling of Replacement and Rehabilitation in Wastewater Pipeline Networks

被引:20
|
作者
Ugarelli, Rita [1 ]
Di Federico, Vittorio [1 ]
机构
[1] Univ Bologna, DISTART, I-40136 Bologna, Italy
关键词
Asset life; Asset management; Wastewater systems; Operational and maintenance cost; Oslo; Rehabilitation; Risk; METHODOLOGY; RANKING; OSLO;
D O I
10.1061/(ASCE)WR.1943-5452.0000038
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
To fulfill the objective of providing acceptable level of service to customers, the water managers have to plan how to operate, maintain, and rehabilitate the system under budget constraints. The model presented in this paper uses risk cost as an appropriate framework to define the optimal replacement time prediction based on the balance between investment for replacing and expenditures for maintaining the asset. An economic analysis compares the costs associated with maintaining an existing pipe in service, being completely depreciated or not, to the cost of replacing or rehabilitating the pipe. On this basis, the right time in the future to rehabilitate the pipeline can be determined. The costs associated with an existing pipe include direct operational and maintenance costs and indirect costs, such as those associated with risk of failure. The optimal replacement time is identified as the year in which the cost to maintain the existing stock of pipes exceeds the investment to replace it. A dynamic programming tool was developed to search the vast combinatorial solution space of the problem. The model was applied, with the aim of supporting management decisions, to the wastewater network of Oslo in Norway, managed by Oslo Vann og Avlopsetaten, using available real-world information to estimate expected costs of maintenance and rehabilitation. The results show that a constant value for lifetime should not be applied to all the pipelines in the stock, as currently done by the utility for long-term investment; rather it is wiser to define different values for different cohorts of pipelines to reduce the uncertainties associated with generalizations for simplification. The model has been applied to wastewater pipes but is in principle valid for any aging infrastructure.
引用
收藏
页码:348 / 356
页数:9
相关论文
共 50 条
  • [1] Optimal Scheduling of Replacement and Rehabilitation of Water Distribution Systems
    Hong, H. P.
    Allouche, E. N.
    Trivedi, M.
    [J]. JOURNAL OF INFRASTRUCTURE SYSTEMS, 2006, 12 (03) : 184 - 191
  • [2] Influencing factors for scheduling optimal pipeline replacement with budgetary constraints
    Alonso, Carlos
    Perez, Rafael
    Diaz, Jose
    Delgado, Xitlali
    [J]. 7TH INTERNATIONAL CONFERENCE ENVIRONMENTAL ENGINEERING, VOLS 1-3, 2008, : 779 - 784
  • [3] Optimal Proactive Seismic Rehabilitation of Gas Pipeline Networks
    Sharveen, Sumaya
    Shahandashti, Mohsen
    [J]. PIPELINES 2023: CONDITION ASSESSMENT, UTILITY ENGINEERING, SURVEYING, AND MULTIDISCIPLINE, 2023, : 240 - 250
  • [4] OPTIMAL LONG-TERM SCHEDULING OF BRIDGE DECK REPLACEMENT AND REHABILITATION
    JACOBS, TL
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 1992, 118 (02): : 312 - 322
  • [5] Optimal Scheduling of Multi-Level Tree-Structure Pipeline Networks
    Cafaro, Diego C.
    Cerda, Jaime
    [J]. 21ST EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, 2011, 29 : 980 - 984
  • [6] Optimal Scheduling of Pipe Replacement
    Boulos, Paul F.
    [J]. JOURNAL AMERICAN WATER WORKS ASSOCIATION, 2017, 109 (01): : 42 - 46
  • [7] OPTIMAL SCHEDULING OF REPLACEMENT AND INSPECTION
    JORGENSON, DW
    MCCALL, JJ
    [J]. OPERATIONS RESEARCH, 1963, 11 (05) : 732 - 746
  • [8] Optimal Randomized Scheduling by Replacement
    Isaac Saias
    [J]. Journal of Combinatorial Optimization, 1998, 1 : 427 - 456
  • [9] Optimal randomized scheduling by replacement
    Saias, I
    [J]. JOURNAL OF COMBINATORIAL OPTIMIZATION, 1998, 1 (04) : 427 - 456
  • [10] Optimized Group Replacement Scheduling for Water Pipeline Network
    Li, Fengfeng
    Ma, Lin
    Sun, Yong
    Mathew, Joseph
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2016, 142 (01)