Distributed zone MPC of pressure management for water distribution network systems

2019 ◽  
Vol 13 (11) ◽  
pp. 1704-1717 ◽  
Author(s):  
Dongming Liu ◽  
Shaoyuan Li ◽  
Yi Zheng ◽  
Jing Wu
Water ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2141
Author(s):  
Stavroula Tsitsifli ◽  
Vasilis Kanakoudis

Disinfection is one of the most important water treatment processes as it inactivates pathogens providing safe drinking water to the consumers. A fresh-water distribution network is a complex system where constant monitoring of several parameters and related managerial decisions take place in order for the network to operate in the most efficient way. However, there are cases where some of the decisions made to improve the network’s performance level, such as reduction of water losses, may have negative impacts on other significant operational processes such as the disinfection. In particular, the division of a water distribution network into district metered areas (DMAs) and the application of various pressure management measures may impact the effectiveness of the water chlorination process. Two operational measures are assessed in this paper: (a) the use of inline chlorination boosters to achieve more efficient chlorination; and (b) how the DMAs formation impacts the chlorination process. To achieve this, the water distribution network of a Greek town is chosen as a case study where several scenarios are being thoroughly analyzed. The assessment process utilizes the network’s hydraulic simulation model, which is set up in Watergems V8i software, forming the baseline to develop the network’s water quality model. The results proved that inline chlorination boosters ensure a more efficient disinfection, especially at the most remote parts/nodes of the network, compared to conventional chlorination processes (e.g., at the water tanks), achieving 100% safe water volume and consuming almost 50% less chlorine mass. DMAs’ formation results in increased water age values up to 8.27%, especially at the remote parts/nodes of the network and require more time to achieve the necessary minimum effective chlorine concentration of 0.2 mg/L. However, DMAs formation and pressure management measures do not threaten the chlorination’s efficiency. It is important to include water age and residual chlorine as criteria when optimizing water pressure and the division of DMAs.


10.29007/425l ◽  
2018 ◽  
Author(s):  
Fernando Silva ◽  
Thaisa Dias Goulart ◽  
Regina Mambeli Barros

The calibration of models applied to water distribution network systems is fundamental, as this improves the computational algorithms constructed from mathematical models. In this work from a hypothetical network, three proposed calibration algorithms were tested, (a) in terms of roughness of the model; (b) in terms of roughness and random demand and (c) in terms of random roughness and pressure directed demand. The results show few differences for the three algorithms tested, the first and third results are almost identical and slightly different from the second. However, these are basis for application in real networks, where surely the more complex algorithms can produce advantages.


Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 699 ◽  
Author(s):  
Anastasia Kravvari ◽  
Vasilis Kanakoudis ◽  
Menelaos Patelis

The goal of this article is to study the impact that pressure management in distribution systems has, on the quality of the supplied water in terms of its water age, using the water distribution network of Kos city, capital of Kos Island in Greece was used as the case study network. This was achieved through network simulation using the Watercad V8i software, followed by the division of the network in district metered areas (DMA) and the placement of pressure reducing valves (PRV) in the entering nodes of each DMA. Research aimed also to optimize DMAs’ borders using the water age as the optimization criterion, instead of maximum pressure reduction. Different scenarios were tested on the calibrated and validated hydraulic model of Kos city water distribution network.


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