scholarly journals Leakage Control and Energy Consumption Optimization in the Water Distribution Network Based on Joint Scheduling of Pumps and Valves

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2969 ◽  
Author(s):  
Yu Shao ◽  
Yanxi Yu ◽  
Tingchao Yu ◽  
Shipeng Chu ◽  
Xiaowei Liu
Keyword(s):  
Energy Consumption ◽  
Water Distribution ◽  
Control Strategies ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Economic Benefits ◽  
Excessive Pressure ◽  
Leakage Reduction ◽  
Energy Consumption Optimization ◽  
Leakage Control

Apart from water quality, leakage control and energy consumption management are the most concerning challenges for water treatment plants (WTPs). The joint scheduling of pumps and pressure reducing valves (PRVs) in the water distribution network can reduce excessive pressure and distribute pressure more evenly, which achieves comprehensive reduction of leakages and energy consumption. Taking into account the main shortcomings of the commonly used methods, such as scheduling pumps or PRVs separately, or optimizing PRV settings when their position is given, etc., this paper has taken the PRV (position and setting) and the working status of variable speed pumps (VSPs) as decision variables and the cost savings contributed by leakage reduction and energy consumption savings as the objective function, which maximized the economic benefits brought by PRV and/or VSP scheduling. A genetic algorithm (GA) was used to optimize the solution under multiple working conditions. The performance of three control strategies (PRV-only scheduling, VSP-only scheduling, and joint scheduling of PRVs and VSPs) are compared to each other based on a small network. Joint scheduling has achieved the best economic benefits in reducing the gross cost (contributed by leakage and energy consumption) of the three control strategies, which results in a leakage reduction of 33.4%, an energy consumption reduction of 25.4%, and a total cost reduction of 33.1%, when compared to the original network, and saving about 1148 m 3 water (7% of the original consumption) and 722 kWh electric energy (25.4% of the original consumption) per day.

scholarly journals Application of Rehabilitation and Active Pressure Control Strategies for Leakage Reduction in a Case-Study Network

Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2215 ◽  
Author(s):  
Camillo Bosco ◽  
Alberto Campisano ◽  
Carlo Modica ◽  
Giuseppe Pezzinga
Keyword(s):  
Water Distribution ◽  
Network Performance ◽  
Time Pressure ◽  
Simulation Analysis ◽  
Control Strategies ◽  
Water Distribution Network ◽  
Pressure Control ◽  
Flow Measurements ◽  
Leakage Reduction ◽  
Active Pressure

The paper discusses the results of a simulation analysis to evaluate the potential of rehabilitation measures and active pressure control strategies for leakage reduction in a water distribution network (WDN) in southern Italy. The analysis was carried out by using a simulation model developed under the EPANET-MATLAB environment. The model was preliminarily calibrated based on pressure and flow measurements acquired during a field monitoring campaign in two districts of the WDN. Three different scenarios of leakage reduction including (i) pipe rehabilitation (scenario S1), (ii) implementation of pressure local control (S2), and (iii) introduction of remote real-time pressure control (RTC) (S3) were simulated and compared with the current scenario of network operation (S0). Results of the simulations revealed that a combination of the used strategies can improve network performance by a significant reduction of water leakage. Specifically, 16.7%, 35.0%, and 37.5% leakage reductions (as compared to S0) can be obtained under scenarios S1, S2, and S3, respectively.

scholarly journals Application of an optimal predictive controller for a small water distribution network in Luxembourg

2012 ◽  
Vol 15 (3) ◽  
pp. 625-633 ◽  
Author(s):  
David Fiorelli ◽  
Georges Schutz ◽  
Nataliya Metla ◽  
Joel Meyers
Keyword(s):  
Predictive Control ◽  
Water Distribution ◽  
Natural Ventilation ◽  
Control Strategies ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Demand Forecast ◽  
Reservoir Water ◽  
Physical Constraints ◽  
Small Water

This paper deals with predictive control applied to the management of water storage in a small water distribution network. This online optimisation-based strategy is computed iteratively by solving a set of mathematical equations which describe the operative goals, in a given time horizon, and uses a representative model for the network dynamics as well as a demand forecast. The approach has been tested on a simulator developed for a four-reservoir water network of a commune of Luxembourg. Mathematical optimisation of the water distribution network is defined to account for all the requirements put forward by the authorities (both the commune and the regional drinking water provider as well as the national water agency), without ignoring the operating and physical constraints of the network. Based on realistic consumption scenarios, the starting situation (tanks always completely filled) and different control strategies (proportional integral derivative or PID level regulation or global predictive control) have been compared and the results are discussed. Moreover, the question of whether to integrate natural ventilation has been explored. Global predictive control leads to improved management in comparison to PID and mechanical control. Further work is needed to evaluate performance when goals, such as tank aeration, are to be met.

EFFICIENT CHLORINATION SCHEDULE FOR A WATER DISTRIBUTION NETWORK WITH MULTIPLE PUMPING STATIONS

2017 ◽  
Vol 16 (5) ◽  
pp. 1071-1079 ◽  
Author(s):  
Andrei-Mugur Georgescu ◽  
Sanda-Carmen Georgescu ◽  
Remus Alexandru Madularea ◽  
Diana Maria Bucur ◽  
Georgiana Dunca
Keyword(s):  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Pumping Stations
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