Optimized DMA Partition to Reduce Background Leakage Rate in Water Distribution Networks

Zhang, Tuqiao; Yao, Huaqi; Chu, Shipeng; Yu, Tingchao; Shao, Yu

doi:10.1061/(asce)wr.1943-5452.0001465

Cited by 26 publications

(5 citation statements)

References 36 publications

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“…PRVs can be installed at the inlet of each DMA to regulate the nodal pressure within each DMA to further reduce leakage of the network. By installing PRVs in each DMA inlet pipe , (Zhang et al, 2021) optimally concluded that combining DMAs with pressure management can effectively reduce leakage by controlling the excess pressure. However, (Shao et al, 2019b) found that combining PRVs and pump station scheduling not only has significant advantages in pressure control over single pump station scheduling and single PRVs scheduling but also reduces energy consumption and can bring improved overall benefits.…”

Section: Introductionmentioning

confidence: 99%

Optimization of DMAs design and cooperative pressure reducing valves and pumping stations to achieve leakage control and energy saving strategy of water distribution networks

Li,

Shi,

Chang

et al. 2024

Preprint

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Leakage and energy consumption in urban water distribution networks (WDNs) have been receiving increasing attention, and pressure management based on district metered areas (DMAs) can effectively control leakage and save energy. In this paper, a new design method for establishing DMAs and carrying out pressure management is proposed. First, the combination of the non-dominated sorting genetic algorithm (NSGA-III) and spectral clustering algorithms, considering the partition cost, operation and management difficulty, post-partition water quality safety, and network water supply capacity factors, identifies the best DMA layouts and the corresponding boundary pipes with the help of multicriteria decision making (MCDM) methods. Second, the non-dominated sorting genetic algorithm (NSGA-II) is used to solve the optimal arrangement model of valves and flow meters on the boundary pipes, and the optimal arrangement is determined based on the equipment cost, water quality safety, and leakage control effect after partition. Finally, pressure reducing valves (PRVs) are installed at the inlet of the DMAs, and a genetic algorithm is used to solve the joint scheduling optimization model of the PRVs and pump station in WDNs to determine the optimal scheduling strategy for the PRVs and the fixed and variable speed pumps for leakage control and energy saving. The proposed method is applied to the SH town network. Results reveal that the method can establish DMAs considering multiple objectives. Furthermore, pressure management in DMAs can not only significantly reduce leakage and energy consumption of pumping stations but also improve the water quality of networks. Therefore, this method can provide a reference for water utilities in establishing DMAs and carrying out pressure management in WDNs in the future.

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Section: Introductionmentioning

confidence: 99%

Optimization of DMAs design and cooperative pressure reducing valves and pumping stations to achieve leakage control and energy saving strategy of water distribution networks

Li,

Shi,

Chang

et al. 2024

Preprint

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“…Recently, the same author (Dai 2021b) proposed a more accurate PRV model based on Karush-Kuhn-Tucker conditions for approximate quadratic function. Zhang et al (2021) introduced a novel DMA sectorization approach to enhance the optimization of background leakage reduction. Additionally, in the work by Jenks et al (2023), a combination of pressure management and self-cleaning capacity was presented, involving the simultaneous regulation of pressure-reducing valves and automatic flushing valves.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Program with Vanishing Constraints for Optimal Pressure Control in Water Distribution Systems

Dai

2024

JWMM

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Optimizing pressure management to reduce water leakage in water distribution systems (WDSs) is one of the major tasks for water utilities. By regulating the operation of pressure reducing valves (PRVs) installed in WDSs, the pressure in WDSs can be kept under control and thus the water leakage amount can be decreased. Mathematically, the problem of pressure management to water leakage reduction can be formulated as a nonlinear optimization program. To make the optimization model proper for practice, the model of PRVs should be accurate and can describe all its operation modes in practice: active, fully opened, and check valve modes. In the literature, the model can be represented either by a non-smooth equation with low accuracy or by several complicated constraints. This research developed a highly accurate PRV model based on vanishing constraints. The idea comes from the fact that the model equation representing operations of PRVs in active mode will be vanished as PRVs operate in the check valve mode. The formulated mathematical program with vanishing constraints (MPVCs) can be solved efficiently by using the regularization approach. Several WDSs have evaluated the new PRV model which shows that accurate solutions are obtained with less computation time.

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“…DMAs are established by using instruments such as gate valves (closed valves) for isolation and flow meters for measuring inflows and outflows (Bui et al, 2022). These DMAs are utilized for facilitating operational management which encompasses cost and energy minimization (Zhang et al, 2019;Giudicianni et al, 2020), leakage control (Creaco and Haidar, 2019;Shekofteh et al, 2020b;Zhang et al, 2021), pressure control (Gomes et al, 2011), contamination prevention (Lifshitz and Ostfeld, 2018;Di Nardo et al, 2013), water quality monitoring (Ciaponi et al, 2019), optimal sensor placement (Raei et al, 2018;Ciaponi et al, 2019), risk reduction (Palleti et al, 2018), reliability attainment (Mu et al, 2021), and ensuring water supply in adequate quantity and quality (Bianchotti et al, 2021;Rahmani et al, 2018;Brentan et al, 2021;Zeidan et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach for Partitioning Water Distribution Networks Using Multi-Objective Optimization and Graph Theory

Shekofteh,

Yousefi-Khoshqalb,

Piratla

2023

Water Resour Manage

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The management of network infrastructure in the context of water sector sustainability poses a significant challenge due to the increasing demand for fresh water, rapid infrastructure deterioration, and rising global water shortages. This paper presents a practical method to address these challenges by partitioning water distribution networks (WDNs) into district metered areas (DMAs) during critical hydraulic conditions to ensure adequate water supply, appropriate pressure and flow rates, and improved customer satisfaction. The proposed method employs efficient graph theoretic algorithms and a multi-objective optimization approach to reduce computational effort and determine the optimal dynamic layout of DMAs based on flow meters and gate valves, while minimizing variable installation costs and regulating water loss monitoring and management. The method ensures that only the number of flowmeters and gate valves may require modification, rather than the DMA layout, as hydraulic criteria may frequently change for a network due to various reasons. The effectiveness of the proposed method is demonstrated through successful implementation on six complex WDNs consisting of hundreds of pipes and nodes.

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Optimized DMA Partition to Reduce Background Leakage Rate in Water Distribution Networks

Cited by 26 publications

References 36 publications

Optimization of DMAs design and cooperative pressure reducing valves and pumping stations to achieve leakage control and energy saving strategy of water distribution networks

Optimization of DMAs design and cooperative pressure reducing valves and pumping stations to achieve leakage control and energy saving strategy of water distribution networks

Mathematical Program with Vanishing Constraints for Optimal Pressure Control in Water Distribution Systems

An Efficient Approach for Partitioning Water Distribution Networks Using Multi-Objective Optimization and Graph Theory

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