Water Rationing Model for Water Networks under Short-Term Water Supply Shortage

2006 ◽  
Author(s):  
Hyung Seok Jeong ◽  
Dulcy M. Abraham
Keyword(s):  
Water Supply ◽  
Water Networks ◽  
Short Term ◽  
Water Supply Shortage

Pressure prediction and abnormal working conditions detection of water supply network based on LSTM

2020 ◽  
Vol 20 (3) ◽  
pp. 963-974 ◽  
Author(s):  
Zhe Xu ◽  
Zhihao Ying ◽  
Yuquan Li ◽  
Bishi He ◽  
Yun Chen
Keyword(s):  
Water Supply ◽  
Short Term Memory ◽  
Learning Performance ◽  
Support Vector ◽  
Supply Network ◽  
Short Term ◽  
Water Supply Network ◽  
Vector Machines ◽  
Long Short Term Memory ◽  
Deep Learning Model

Abstract In this study, a deep learning model based on LSTM (Long Short-Term Memory) is used to predict the state of a water supply network due to its highly complex nonlinearity. The inputs of the model include state information on the pressures at measuring points, as well as control information on the water supply pressure and flow at each entry point. In order to enhance the performance of the model in feature extraction and identification and improve prediction accuracy, a parallel LSTM tandem DNN deep neural network model (PLDNN) is proposed. The experimental results indicate that the model has better learning performance and accuracy compared with traditional prediction methods (artificial neural networks, support vector machines, etc.) and general LSTM models.

scholarly journals Risk Analysis of Reservoir Operations Considering Short-Term Flood Control and Long-Term Water Supply: A Case Study for the Da-Han Creek Basin in Taiwan

Water ◽  
2017 ◽  
Vol 9 (6) ◽  
pp. 424 ◽  
Author(s):  
Wen-Ming Cheng ◽  
Chien-Lin Huang ◽  
Nien-Sheng Hsu ◽  
Chih-Chiang Wei
Keyword(s):  
Risk Analysis ◽  
Water Supply ◽  
Flood Control ◽  
Reservoir Operations ◽  
Short Term

Short Term Optimal Operation of Water Supply Reservoir under Flood Control Stress using Model Predictive Control

2017 ◽  
Vol 32 (2) ◽  
pp. 583-597 ◽  
Author(s):  
Gökçen Uysal ◽  
Dirk Schwanenberg ◽  
Rodolfo Alvarado-Montero ◽  
Aynur Şensoy
Keyword(s):  
Model Predictive Control ◽  
Water Supply ◽  
Predictive Control ◽  
Flood Control ◽  
Optimal Operation ◽  
Short Term ◽  
Water Supply Reservoir

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
Keyword(s):  
Genetic Algorithms ◽  
Drinking Water ◽  
Distribution Networks ◽  
Water Networks ◽  
Economic Costs ◽  
Water Network ◽  
Demand Forecast ◽  
Short Term ◽  
Neural Network Models ◽  
Efficient Management

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.

scholarly journals Energy Saving Measures in Pressurized Irrigation Networks: A New Challenge for Power Generation

Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1440 ◽  
Author(s):  
Jorge García Morillo ◽  
Juan A. Rodríguez Díaz ◽  
Miguel Crespo ◽  
Aonghus McNabola
Keyword(s):  
Energy Consumption ◽  
Water Supply ◽  
Distribution Systems ◽  
Water Distribution ◽  
Irrigation System ◽  
Distribution Networks ◽  
Water Networks ◽  
Irrigation Network ◽  
Irrigation Networks ◽  
Pressurized Irrigation

In Spain and other countries, open channel distribution networks have been replaced by on demand-pressurized networks to improve the water-use efficiency of the water distribution systems, but at the same time the energy requirements have dramatically risen. Under this scenario, methodologies to reduce the energy consumption are critical such as: irrigation network sectoring, critical hydrant detection, improving the efficiency of the pumping system and the irrigation system, or introducing solar energy for water supply. But once these measures are undertaken, the recovery of the energy inherent in excess pressure in the network should be investigated. Hydropower energy recovery in irrigation is still largely unexplored and requires further investigation and demonstration. All of these methodologies should be considered as useful tools for both, the reduction of energy consumption and the recovery of the excess energy in pressurized irrigation networks. To accomplish this, the REDAWN project (Reducing Energy Dependency in Atlantic Area Water Networks) aims to improve the energy efficiency of water networks through the installation of innovative micro-hydropower (MHP) technology. This technology will recover wasted energy in existing pipe networks across irrigation, public water supply, process industry, and waste-water network settings.

scholarly journals Water Consumption Variability Based on Cumulative Data From Non-simultaneous and Long-term Measurements

2021 ◽  
Author(s):  
Jacek Wawrzosek ◽  
Syzmon Ignaciuk ◽  
Justyna Stańczyk ◽  
Joanna Kajewska-Szkudlarek
Keyword(s):  
Water Supply ◽  
Water Consumption ◽  
Water Demand ◽  
Fuzzy Time Series ◽  
Water Supply Systems ◽  
Short Term ◽  
Continuous Processes ◽  
Short And Long Term ◽  
Demand Patterns

AbstractDevices for water consumption measurement provide data from periodical readings in a non-simultaneous and cumulative manner. This may result in inaccuracies within the process of inference about the short-term habitual patterns of water supply network users. Maintaining systems at the interface between periodic and continuous processes requires the continuous improvement of research methodology. To obtain reliable results regarding the variability of water consumption, the first step should be to estimate it for each observation day by periodic averaging and a possible water balancing approach, but the analysis of the value of estimators obtained in this way usually does not allow for studying autocorrelation. However, other methods indicate the existence of multiplicative parameters characterizing short- and long-term variations in water demand. The purpose of this study is to create a new and deterministic method for tackling the problem associated with a lack of short-term detailed data with fuzzy time series using a multiplicative model for water consumption. Satisfactory results have been obtained, demonstrating that the dispersed data, received in a cumulative manner for random periods of measurement, can be analyzed by the methodology of proposed statistical inference. The observed variability in water consumption may be used in the planning and modernization of water supply systems, development of water demand patterns, hydraulic models, and in the creation of forecasting models of water consumption.

Towards indirect potable reuse in South East Queensland

2008 ◽  
Vol 58 (1) ◽  
pp. 153-161 ◽  
Author(s):  
W. H. Traves ◽  
E. A. Gardner ◽  
B. Dennien ◽  
D. Spiller
Keyword(s):  
Water Supply ◽  
Potable Water ◽  
Recycled Water ◽  
Short Term ◽  
Water Project ◽  
Potable Reuse ◽  
Potable Water Supply ◽  
Indirect Potable Reuse

Faced with limited water supply options in the longer term and the worst drought on record in the short term, the Queensland Government is constructing the Western Corridor Recycled Water Project which will supply up to 182 ML/day of purified recycled water for industrial and potable purposes. The project is one of a suite of capital works projects in progress which in the longer term will supply up to 10% of the region's potable water supply.

Managing water supply shortage

1994 ◽  
Vol 54 (1) ◽  
pp. 145-160 ◽  
Author(s):  
Chi-Keung Woo
Keyword(s):  
Water Supply ◽  
Water Supply Shortage
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