The analysis of financially sustainable management strategies of urban water distribution network under increasing block tariff structure: A system dynamics approach

2020 ◽  
Vol 60 ◽  
pp. 102193
Author(s):  
Amir Salimi Babamiri ◽  
Mir Saman Pishvaee ◽  
Saeed Mirzamohammadi
2011 ◽  
Vol 243-249 ◽  
pp. 5003-5008
Author(s):  
Zhi Tao Wang ◽  
Jing Yu Su ◽  
Wei Wang

To evaluate the security of urban water distribution network, one model based on LS-SVM was put forth. On the basis of summary and analysis of influential factors for urban water distribution network security, a set of indexes used in the evaluation model above was constructed. The nonlinear mapping between the water distribution networks security classification and its conditions were learned from the finite samples and a water distribution network example was simulated using this model. In addition, the BP ANN model was used to simulate the same example. Through the analysis of the result of the actual security level, the security level acquired by the LS-SVM model and BP ANN model, it may be found that the result acquired by the LS-SVM model has high accuracy, and may used in actual engineering.


2014 ◽  
Vol 14 (12) ◽  
pp. 4134-4142 ◽  
Author(s):  
Thaw Tar Thein Zan ◽  
Hock Beng Lim ◽  
Kai-Juan Wong ◽  
Andrew J. Whittle ◽  
Bu-Sung Lee

2007 ◽  
Vol 9 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Elad Salomons ◽  
Alexander Goryashko ◽  
Uri Shamir ◽  
Zhengfu Rao ◽  
Stefano Alvisi

Haifa-A is the first of two case studies relating to the POWADIMA research project. It comprises about 20% of the city's water-distribution network and serves a population of some 60,000 from two sources. The hydraulic simulation model of the network has 126 pipes, 112 nodes, 9 storage tanks, 1 operating valve and 17 pumps in 5 discrete pumping stations. The complex energy tariff structure changes with hours of the day and days of the year. For a dynamically rolling operational horizon of 24 h ahead, the real-time, near-optimal control strategy is calculated by a software package that combines a genetic algorithm (GA) optimizer with an artificial neural network (ANN) predictor, the latter having replaced a conventional hydraulic simulation model to achieve the computational efficiency required for real-time use. This paper describes the Haifa-A hydraulic network, the ANN predictor, the GA optimizer and the demand- forecasting model that were used. Thereafter, it presents and analyses the results obtained for a full (simulated) year of operation in which an energy cost saving of some 25% was achieved in comparison to the corresponding cost of current practice. Conclusions are drawn regarding the achievement of aims and future prospects.


Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 697
Author(s):  
Juan Antonio Rodríguez Díaz ◽  
Rafael González Perea ◽  
Miguel Ángel Moreno

Nowadays, irrigation is becoming an activity of precision, whereby it is necessary to combine information collected from various sources to manage resources in an optimal way. New management strategies, such as big data techniques, sensors, artificial intelligence, unmanned aerial vehicles (UAV) and new technologies in general, are becoming more relevant every day. Related to this, modeling techniques, both at the water distribution network and at farm level, will be essential to gather information from various sources and offer useful recommendations for decision-making processes. In this Special Issue, ten high-quality papers were selected that cover a wide range of issues that are relevant to the different aspects related to irrigation management: water source and distribution network, plot irrigation systems and crop water management.


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