Analysis of network useful life and cost-benefits for sustainable water management

Yıl 2024, Cilt: 42 Sayı: 1, 130 - 140, 27.02.2024

Salih Yılmaz , Mahmut Fırat , Abdullah Ateş

Öz

Main lines and service connections in distribution systems are damaged due to various fac-tors. The leakage volume, operating and repair costs increase depending on the density of damage. The cost-benefit and economic life analysis should be done for network renewal in distribution systems. In this study, a useful life analysis model was developed for pipes serving in distribution systems. The total number of failures in water distribution systems, failure repair costs, pipe diameter and material and leakage rates in the existing system and network characteristics are considered. The developed model was applied in 9 isolated regions with different properties in the application area. The useful lives have varied depending on the characteristics of the regions. The number of failures and the amount of water losses, as well as the length of the network and the type of new pipe play serious role in useful life analysis. Especially, it was observed that the type of pipe material to be used in network renewal has an effect on the useful life. It is thought that this study will constitute a reference for technical personnel, especially in deciding to renew the network.

Anahtar Kelimeler

Water Distribution System, Network Rehabilitation, Cost- Benefit Analysis, Useful Life Analysis

Kaynakça

• REFERENCES
• [1] Lambert AO, Brown TG, Takizawa M, Weimer D. A review of performance indicators for real losses from water supply systems. J Water Supply Res Technol AQUA 1999;48:227–237. [CrossRef]
• [2] Farley M, Wyeth G, Ghazali ZBM, Istandar A, Singh S. The Manager’s Non-Revenue Water Handbook. A Guide to Understanding Water Losses. https://bear.warrington.ufl.edu/centers/purc/DOCS/PAPERS/other/BERG/SandysSelections/1302_The_Managers_NonRevenue.pdf 2008 Accessed on Feb 07, 2023.
• [3] Loganathan GV, Park S, Sherali HD. Threshold break rate for pipeline replacement in water distribution systems. J Water Resour Plan Manag 2002;128:271–279. [CrossRef]
• [4] Kim ES, Baek CW, Kim JH. Estimate of pipe deterioration and optimal scheduling of rehabilitation. Water Sci Technol Water Supply 2005;5:39–46. [CrossRef]
• [5] Giustolisi O, Laucelli D, Savic DA. Development of rehabilitation plans for water mains replacement considering risk and cost-benefit assessment. Civ Eng Environ Syst 2006;23:175–190. [CrossRef]
• [6] Mondaca M, Andrade MA, Choi CY, Lansey KE. Development of a cost function of water distribution systems for residential subdivisions. Urban Water J 2015;12:145–153. [CrossRef]
• [7] Venkatesh G. Cost-benefit analysis - leakage reduction by rehabilitating old water pipelines: Case study of Oslo (Norway). Urban Water J 2012;9:277–286. [CrossRef]
• [8] Suribabu CR, Neelakantan TR. Sizing of water distribution pipes based on performance measure and breakage-repair-replacement economics. ISH J Hydraul Eng 2012;18:241–251. [CrossRef]
• [9] Francisque A, Tesfamariam S, Kabir G, Haider H, Reeder A, Sadiq R. Water mains renewal planning framework for small to medium-sized water utilities: a life cycle cost analysis approach. Urban Water J 2017;14:493–501. [CrossRef]
• [10] Mamo TG, Juran I, Shahrour I. Prioritization of Municipal Water Mains Leakages for the Selection of R&R Maintenance Strategies Using Risk-Based Multi-Criteria FAHP Model. J Water Resour Hydraul Eng 2013;2:125–135.
• [11] Al-Zahrani MA, Abo-Monasar A, Sadiq R. Risk-based prioritization of water main failure using fuzzy synthetic evaluation technique. J Water Supply Res Technol AQUA 2016;65:145–161. [CrossRef]
• [12] Gül Ş, Firat M. Determination of priority regions for rehabilitation in water networks by multiple criteria decision making methods. Sigma J Eng Nat Sci 2020;38:1481–1494.
• [13] Durmuşçelebi FM, Özdemir Ö, Firat M. District metered areas for water loss management in distribution systems. Sigma J Eng Nat Sci 2020;38:149–170.
• [14] Kleiner Y, Adams BJ, Rogers JS. Selection and scheduling of rehabilitation alternatives for water distribution systems. Water Resour Res 1998;34:2053–2061. [CrossRef]
• [15] Kanakoudis V, Gonelas K. Estimating the Economic Leakage Level in a water distribution system. Water Resour Manag Chang World Chall Oppor 2015:1–7.
• [16] Park SW, Loganathan GV. Methodology for economically optimal replacement of pipes in water distribution systems: 2. Applications. KSCE J Civ Eng 2002;6:545–550. [CrossRef]
• [17] Wu ZY, Sage P, Turtle D. Pressure-dependent leak detection model and its application to a district water system. J Water Resour Plan Manag 2010;136:116–128. [CrossRef]
• [18] Marchionni V, Cabral M, Amado C, Covas D. Estimating water supply infrastructure cost using regression techniques. J Water Resour Plan Manag 2016;142. [CrossRef]
• [19] Zangenehmadar Z, Moselhi O. Assessment of remaining useful life of pipelines using different artificial neural networks models. J Perform Constr Facil 2016;30. [CrossRef]
• [20] El Chanati H, El-Abbasy MS, Mosleh F, Senouci A, Abouhamad M, Gkountis I, et al. Multi-criteria decision making models for water pipelines. J Perform Constr Facil 2016:04015090–04015091. [CrossRef]
• [21] Salehi S, Ghazizadeh J, Tabesh M. A comprehensive criteria-based multi-attribute decision-making model for rehabilitation of water distribution systems. J Struct Infrastruct Eng 2017;14:743– 765. [CrossRef]
• [22] Fırat M, Gül Ş. TOPSIS ve MAUT yöntemleri ile içmesuyu dağıtım sistemlerinde rehabilitasyon önceliğinin belirlenmesi. Fırat Üniv Mühendislik Bilim Derg 2021;33:27–38. [Turkish] [CrossRef]
• [23] Durmuşçelebi FM, Özdemir Ö, Firat M. İçmesuyu dağıtım sistemlerinde sızıntı yönetimi ve şebeke rehabilitasyonu için fayda maliyet analizi. Pamukkale Univ J Eng Sci 2021;27:660–668. [CrossRef]
• [24] Pagano A, Giordano R, Vurro M. A Decision support system based on AHP for ranking strategies to manage emergencies on drinking water supply systems. Water Resour Manag 2021;35:613–628. [CrossRef]
• [25] Regad A, Benzerga D, Berrekia H, Abdelkader H, Nourredine C. Repair and rehabilitation of corroded HDPE100 pipe using a new hybrid composite. Frattura Ed Integrita Strutturale 2021;15:115–
• 122. [CrossRef]
• [26] Salehi S, Robles-Velasco A, Seyedzadeh A, Ghazali A, Davoudiseresht M. A hybrid knowledge-based method for pipe renewal planning in Water Distribution Systems with limited data: Application to Iran. Utilities Policy 2022;78:101407. [CrossRef]
• [27] Nugroho W, Utomo C, Iriawan N. A bayesian pipe failure prediction for optimizing pipe renewal time in water distribution networks. Infrastructures 2022;7:136. [CrossRef]
• [28] Ramos-Salgado C, Muñuzuri J, Aparicio-Ruiz P, Onieva L. A comprehensive framework to efficiently plan short and long-term investments in water supply and sewer networks. Reliab Eng Syst Saf 2022;219:108248. [CrossRef]
• [29] Bozkurt C, Firat M, Ateş A, Yilmaz S, Özdemir Ö. Strategic water loss management: Current status and new model for future perspectives. Sigma J Eng Nat Sci 2022;40:310–322. [CrossRef]
• [30] Firat M, Yilmaz S, Ateş A, Özdemir Ö. Determination of economic leakage level with optimization algorithm in water distribution systems. Water Econ Policy 2021;7:2150014. [CrossRef]