Real-time monitoring and operational control of drinking-water systems
This book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant improvements in efficiency in terms of water use, energy consumption, water loss min...
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| Other Authors | , , , , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham, Switzerland :
Springer,
2017.
|
| Series | Advances in industrial control.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319507514 9783319507507 |
| ISSN | 1430-9491 |
| Physical Description | 1 online resource (xxvi, 428 pages) : illustrations (some color) |
Cover
Table of Contents:
- Series Editors' Foreword; Drinking-Water Supply; Wastewater Disposal; Preface; Acknowledgements; Contents; List of Contributors; Abbreviations; Notation; 1 Real-Time Monitoring and Control in Water Systems; 1.1 The Water Need; 1.2 Water Cycle and Networks; 1.3 Real-Time Monitoring and Control; 1.4 State of the Art; 1.4.1 Real-Time Monitoring of Water Networks; 1.4.2 Real-Time Optimal Control of Water Networks; 1.5 Outline of the Book; References; 2 Case Studies; 2.1 Introduction; 2.2 Case Studies; 2.3 Water Transport Network; 2.4 Water Distribution Network; 2.5 Software; References.
- Part I Modelling3 Modelling and Simulation of Drinking-Water Networks; 3.1 Introduction; 3.2 Problem Statement; 3.3 Proposed Approach; 3.3.1 Hydraulic Equations; 3.3.2 Water Consumptions; 3.3.3 Network Equations Solver; 3.3.4 Chlorine Decay Modelling; 3.3.5 Network Skeletonization; 3.4 Simulation and Results; 3.4.1 Matrix Model; 3.4.2 Skeletonization; 3.4.3 Simulation; 3.5 Conclusions; References; 4 Parameter Estimation: Definition and Sampling Design; 4.1 Introduction; 4.1.1 Identifiability; 4.1.2 Sampling Design; 4.2 Problem Statement; 4.3 Proposed Approach; 4.3.1 Parameter Definition.
- 4.3.2 Sampling Design4.4 Simulations and Results; 4.4.1 Exemplification; 4.4.2 Demand Components' Model for a Real Network; 4.5 Conclusions; References; 5 Parameter Estimation: Online Calibration; 5.1 Introduction; 5.1.1 Calibration Methods; 5.1.2 Uncertainty; 5.2 Problem Statement; 5.3 Proposed Approach; 5.4 Simulations and Results; 5.4.1 Academic Example; 5.4.2 Real DMA; 5.5 Conclusions; References; 6 Demand Forecasting for Real-Time Operational Control; 6.1 Introduction; 6.2 Problem Statement; 6.3 Proposed Approach; 6.3.1 Double-Seasonality ARIMA Models.
- 6.3.2 Daily Seasonality ARIMA Model with Hourly Pattern6.3.3 Basic Structural Model; 6.3.4 Exponential Smoothing Method; 6.3.5 Naïve Methods; 6.4 Simulations and Results; 6.5 Conclusions; References; Part II Real-Time Monitoring; 7 Leak Monitoring; 7.1 Introduction; 7.2 Problem Statement; 7.2.1 Model of the Network; 7.3 Proposed Approach; 7.3.1 Including Temporal Information; 7.4 Simulations and Results; 7.5 Conclusions; References; 8 Quality Monitoring; 8.1 Introduction; 8.2 Problem Statement; 8.3 Proposed Approach; 8.3.1 Chlorine Decay Model Calibration.
- 8.3.2 Quality Event Detection and Location8.4 Simulation and Results; 8.4.1 Calibration Case Study; 8.4.2 Abnormal Quality Detection and Isolation; 8.5 Conclusions; References; 9 Sensor Placement for Monitoring; 9.1 Introduction; 9.2 Problem Statement; 9.2.1 Model-Based Fault Diagnosis; 9.2.2 Optimal Sensor Placement; 9.3 Proposed Approach; 9.3.1 Clustering Analysis; 9.3.2 Structural Analysis Approach; 9.3.3 Sensitivity Analysis Approach; 9.4 Simulations and Results; 9.4.1 DMA Case Study; 9.4.2 DMA Network Modelling; 9.4.3 Clustering Analysis; 9.4.4 Structural Analysis Approach.