scholarly journals Short-term demand forecast using a bank of neural network models trained using genetic algorithms for the optimal management of drinking water networks

2016 ◽  
Vol 19 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Hector Rodriguez Rangel ◽  
Vicenç Puig ◽  
Rodrigo Lopez Farias ◽  
Juan J. Flores

Efficient management of a drinking water network reduces the economic costs related to water production and transport (pumping). Model predictive control (MPC) is nowadays a quite well-accepted approach for the efficient management of the water networks because it allows formulating the control problem in terms of the optimization of the economic costs. Therefore, short-term forecasts are a key issue in the performance of MPC applied to water distribution networks. However, the short-term horizon demand forecast in a horizon of 24 hours in an hourly based scale presents some challenges as the water consumption can change from one day to another, according to certain patterns of behavior (e.g., holidays and business days). This paper focuses on the problem of forecasting water demand for the next 24 hours. In this work, we propose to use a bank of models instead of a single model. Each model is designed for forecasting one particular hour. Hourly models use artificial neural networks. The architecture design and the training process are performed using genetic algorithms. The proposed approach is assessed using demand data from the Barcelona water network.

2017 ◽  
Vol 18 (1) ◽  
pp. 318-332 ◽  
Author(s):  
Omid Bozorg-Haddad ◽  
Milad Latifi ◽  
Atiyeh Bozorgi ◽  
Mohammad-Mehdi Rajabi ◽  
Seyed-Taghi Naeeni ◽  
...  

Abstract Optimizing the design and operation of urban water distribution networks (WDNs) is a complex, nonlinear problem. The optimization of WDNs can be performed for the pumping schedule, the location and elevation of reservoirs, the physical characteristics of pipes, and the placement of pressure-reducing valves, among other objectives. This study applies the anarchic society optimization (ASO) algorithm to find the optimal location and elevation of auxiliary tanks in urban water networks. The ASO is validated with mathematical benchmark functions, and is implemented to determine the location and elevation of auxiliary tanks in two urban water networks. The fuzzy reliability index for urban water network ranges between 74 and 79%, which is close to the global optima. The ASO exhibited better performance optimizing the reliability of WDNs than the genetic algorithm.


2018 ◽  
Vol 2 (1) ◽  
pp. 52-64
Author(s):  
Arya Rezagama ◽  
Endro Sutrisno ◽  
Joko Susilo ◽  
Ervando Tommy ◽  
Nosa Ajulva Lovely

Demak is a growing regency which is located in Central Java Province. The growth is mainly in the industrial sector and population settlement. Demak Waterwork Company has served 21.178 customers with the capacity flow of 159.33 l/s which is predicted to reach 300 l/s or double in the next 10 years in 2027. The Water Distribution Networks (WDN) was developed in a large zonation that resulted in the flow of water not being properly managed. The lack of water supply due to low the pressure especially at peak hours, the level of leakage, and the difficulty to detect leakage are potential to be a serious problem that should be solved. The objectives of this study include projecting of demand for drinking water in the 2036 and designing a  zoning system to meet future needs of drinking water.  This study applied epanet modelling to simulate the water network system in existing and predicted condition. The result showed that in selecting the pipe for replacement, some aspects to be considered including the characteristics of pipes, pipe materials and pipe size based on the load of drinking water to be carried. Some developmental strategies e.g improving the capacity, establishing zones, and resizing the pump capacity will improve the reliability and efficiency of the water distribution network. The pressure model resulted in enough value to supply the whole area of more than 0.5 bar in service pipe.


10.29007/gvnz ◽  
2018 ◽  
Author(s):  
Armando Di Nardo ◽  
Michele Di Natale ◽  
Anna Di Mauro ◽  
Eva Martínez Díaz ◽  
Jose Antonio Blázquez Garcia ◽  
...  

The recent development and applications of social network theory in many fields of engineering (electricity, gas, transport, water, etc.) allows both the understanding of networks and to improve their management. Social network theory coupled to the availability of real time data and big data analysis techniques can change drastically the traditional approaches to manage civil networks. Recently, some authors are working to apply this novel approach, based on social network theory, on the water distribution networks using: a) graph partitioning algorithms to define optimal district meter areas both for water losses identification and for water network protection, b) innovative topological, energy and hydraulic indices to analyze performance; and c) GIS (Geographical Information System) to provide a more effective display of results and to improve network behavior in specific operational conditions. In this paper, a novel release 3.5 of SWANP software, that implements all these features, was tested on a real large water network in Alcalá de Henares, Spain.


1988 ◽  
Vol 27 (4II) ◽  
pp. 595-604 ◽  
Author(s):  
Eshya Mujahid Mukhtar ◽  
Hanid Mukhtar

Agricultural production depends upon certain crucial inputs e.g., water, fertilizer etc. In the less developed regions of South Asia in general, and the indo-Pakistan sub-continent in particular, the use of these inputs depends not only upon the financial affordability but also upon the institutional accessibility of farmers to these inputs. Besides high economic costs, bureaucratic controls and corruption regarding the distribution of inputs have created problems of limited accessibility, especially to the small farmers. In the absence of any credit, information and/or input distribution networks, the use of these inputs, and related productivity gains, become confined to that class of farmers which not only has better access to these inputs but is capable of using them in the best possible way e.g. use of water and fertilizer in the appropriate amount and at the appropriate time. This paper attempts to study how input use and input productivity vary across farm sizes, with some reference to the infrastructural and institutional factors, whose development play an important role in improving the distribution and productivity of inputs. For such an analysis, a comparison of the two Punjabs i.e. Pakistani and Indian Punjabs, presents an ideal framework, Separated by a national boundary since 1947, the two Punjabs enjoy a common history and culture, similar agricultural practices and agro-climatic conditions, Government policies in the two Punjabs, however, have not only differed between the two provinces at the same time, but also over time in the same province. It may be noted that due to certain policy measures, land distribution, tenancy conditions, promotion of agricultural co-operatives and provision of infrastructural features, such as roads and electricity, are relatively more improved in Indian than Pakistani Punjab.


2014 ◽  
Vol 9 (2) ◽  
pp. 150-157
Author(s):  
Koral Wojciech

This paper describes the sectorisation of a water network, as operated by the water and sewage utility (PWiK Gliwice, Poland) with electromagnetic water-meters (battery powered). This solution allows supply of District Metered Areas (DMA) by a few points without ‘dead-end’ pipework and shows that the main problems of the Utility are small, hidden leaks. Additionally the paper describes a water balance for the town of Pyskowice (part of the Gliwice water network) where all water meters are read by radio (automatic meter reading – AMR).


Water ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 899
Author(s):  
Djordje Mitrovic ◽  
Miguel Crespo Chacón ◽  
Aida Mérida García ◽  
Jorge García Morillo ◽  
Juan Antonio Rodríguez Diaz ◽  
...  

Studies have shown micro-hydropower (MHP) opportunities for energy recovery and CO2 reductions in the water sector. This paper conducts a large-scale assessment of this potential using a dataset amassed across six EU countries (Ireland, Northern Ireland, Scotland, Wales, Spain, and Portugal) for the drinking water, irrigation, and wastewater sectors. Extrapolating the collected data, the total annual MHP potential was estimated between 482.3 and 821.6 GWh, depending on the assumptions, divided among Ireland (15.5–32.2 GWh), Scotland (17.8–139.7 GWh), Northern Ireland (5.9–8.2 GWh), Wales (10.2–8.1 GWh), Spain (375.3–539.9 GWh), and Portugal (57.6–93.5 GWh) and distributed across the drinking water (43–67%), irrigation (51–30%), and wastewater (6–3%) sectors. The findings demonstrated reductions in energy consumption in water networks between 1.7 and 13.0%. Forty-five percent of the energy estimated from the analysed sites was associated with just 3% of their number, having a power output capacity >15 kW. This demonstrated that a significant proportion of energy could be exploited at a small number of sites, with a valuable contribution to net energy efficiency gains and CO2 emission reductions. This also demonstrates cost-effective, value-added, multi-country benefits to policy makers, establishing the case to incentivise MHP in water networks to help achieve the desired CO2 emissions reductions targets.


2021 ◽  
Vol 411 ◽  
pp. 128519
Author(s):  
Tahir Maqbool ◽  
Jiaxing Zhang ◽  
Yanling Qin ◽  
Muhammad Bilal Asif ◽  
Quang Viet Ly ◽  
...  

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