scholarly journals A New Device for Pressure Control and Energy Recovery in Water Distribution Networks

Water ◽  
2017 ◽  
Vol 9 (5) ◽  
pp. 309 ◽  
Author(s):  
Marco Sinagra ◽  
Vincenzo Sammartano ◽  
Gabriele Morreale ◽  
Tullio Tucciarelli
Keyword(s):  
Energy Recovery ◽  
Water Distribution ◽  
Pressure Control ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
New Device

scholarly journals Energy Recovery in Water Distribution Networks. Implementation of Pumps as Turbine in a Dynamic Numerical Model

2014 ◽  
Vol 70 ◽  
pp. 439-448 ◽  
Author(s):  
M. De Marchis ◽  
C.M. Fontanazza ◽  
G. Freni ◽  
A. Messineo ◽  
B. Milici ◽  
...  
Keyword(s):  
Numerical Model ◽  
Energy Recovery ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks

scholarly journals Pump as turbine for throttling energy recovery in water distribution networks

2019 ◽  
Author(s):  
Michele Stefanizzi ◽  
Tommaso Capurso ◽  
Gabriella Balacco ◽  
Mario Binetti ◽  
Marco Torresi ◽  
...  
Keyword(s):  
Energy Recovery ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks

scholarly journals Adaptive water distribution networks with dynamically reconfigurable topology

2014 ◽  
Vol 16 (6) ◽  
pp. 1280-1301 ◽  
Author(s):  
Robert Wright ◽  
Ivan Stoianov ◽  
Panos Parpas ◽  
Kevin Henderson ◽  
John King
Keyword(s):  
High Speed ◽  
Water Distribution ◽  
Large Scale ◽  
Pressure Control ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Incident Management ◽  
Major Drawback ◽  
Dynamically Reconfigurable ◽  
Minimum Night Flow

This paper presents a novel concept of adaptive water distribution networks with dynamically reconfigurable topology for optimal pressure control, leakage management and improved system resilience. The implementation of District Meter Areas (DMAs) has greatly assisted water utilities in reducing leakage. DMAs segregate water networks into small areas, the flow in and out of each area is monitored and thresholds are derived from the minimum night flow to trigger the leak localization. A major drawback of the DMA approach is the reduced redundancy in network connectivity which has a severe impact on network resilience, incident management and water quality deterioration. The presented approach for adaptively reconfigurable networks integrates the benefits of DMAs for managing leakage with the advantages of large-scale looped networks for increased redundancy in connectivity, reliability and resilience. Self-powered multi-function network controllers are designed and integrated with novel telemetry tools for high-speed time-synchronized monitoring of the dynamic hydraulic conditions. A computationally efficient and robust optimization method based on sequential convex programming is developed and applied for the dynamic topology reconfiguration and pressure control of water distribution networks. An investigation is carried out using an operational network to evaluate the implementation and benefits of the proposed method.

scholarly journals Trunk Network Rehabilitation for Resilience Improvement and Energy Recovery in Water Distribution Networks

Water ◽  
2018 ◽  
Vol 10 (6) ◽  
pp. 693 ◽  
Author(s):  
Gustavo Meirelles ◽  
Bruno Brentan ◽  
Joaquín Izquierdo ◽  
Helena Ramos ◽  
Edevar Luvizotto
Keyword(s):  
Energy Recovery ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Trunk Network ◽  
Network Rehabilitation

scholarly journals Appraising the Impact of Pressure Control on Leakage Flow in Water Distribution Networks

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2617
Author(s):  
Thapelo C. Mosetlhe ◽  
Yskandar Hamam ◽  
Shengzhi Du ◽  
Eric Monacelli
Keyword(s):  
Water Distribution ◽  
Pressure Control ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Effective Control ◽  
Model Free ◽  
Critical Nodes ◽  
Control Scheme ◽  
The Impact ◽  
Nodal Pressure

Water losses in Water Distribution Networks (WDNs) are inevitable. This is due to joints interconnections, ageing infrastructure and excessive pressure at lower demand. Pressure control has been showing promising results as a means of minimising water loss. Furthermore, it has been shown that pressure information at critical nodes is often adequate to ensure effective control in the system. In this work, a greedy algorithm for the identification of critical nodes is presented. An emulator for the WDN solution is put forward and used to simulate the dynamics of the WDN. A model-free control scheme based on reinforcement learning is used to interact with the proposed emulator to determine optimal pressure reducing valve settings based on the pressure information from the critical node. Results show that flows through the pipes and nodal pressure heads can be reduced using this scheme. The reduction in flows and nodal pressure leads to reduced leakage flows from the system. Moreover, the control scheme used in this work relies on the current operation of the system, unlike traditional machine learning methods that require prior knowledge about the system.

scholarly journals Hydropower Potential in Water Distribution Networks: Pressure Control by PATs

2014 ◽  
Vol 29 (3) ◽  
pp. 699-714 ◽  
Author(s):  
Oreste Fecarotta ◽  
Costanza Aricò ◽  
Armando Carravetta ◽  
Riccardo Martino ◽  
Helena M. Ramos
Keyword(s):  
Water Distribution ◽  
Pressure Control ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Hydropower Potential
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