| Description |
1 online resource (xxvi, 428 pages) : illustrations (some color) |
| Series |
Advances in industrial control, 1430-9491 |
|
Advances in industrial control.
|
| 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 |
| Summary |
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 minimization, and water quality guarantees. The methods and approaches presented are illustrated and have been applied using real-life pilot demonstrations based on the drinking-water network in Barcelona, Spain. The proposed approaches and tools cover: • decision-making support for real-time optimal control of water transport networks, explaining how stochastic model predictive control algorithms that take explicit account of uncertainties associated with energy prices and real demand allow the main flow and pressure actuators--pumping stations and pressure regulation valves--and intermediate storage tanks to be operated to meet demand using the most sustainable types of source and with minimum electricity costs; • decision-making support for monitoring water balance and distribution network quality in real time, implementing fault detection and diagnosis techniques and using information from hundreds of flow, pressure, and water-quality sensors together with hydraulic and quality-parameter-evolution models to detect and locate leaks in the network, possible breaches in water quality, and failures in sensors and/or actuators; • consumer-demand prediction, based on smart metering techniques, producing detailed analyses and forecasts of consumption patterns, providing a customer communications service, and suggesting economic measures intended to promote more efficient use of water at the household level. Researchers and engineers working with drinking-water networks will find this a vital support in overcoming the problems associated with increased population, environmental sensitivities and regulation, aging infrastructures, energy requirements, and limited water sources. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed May 24, 2017) |
| Subject |
Water-supply -- Automatic control
|
|
Water utilities.
|
|
Drinking water.
|
|
Real-time control.
|
|
waterworks.
|
|
drinking water.
|
|
TECHNOLOGY & ENGINEERING -- Environmental -- General.
|
|
Drinking water
|
|
Real-time control
|
|
Water utilities
|
| Form |
Electronic book
|
| Author |
Puig, Vicenç, editor
|
|
Ocampo-Martinez, Carlos, editor
|
|
Pérez, Ramon, editor
|
|
Cembrano, Gabriela, editor
|
|
Quevedo, Joseba, editor
|
|
Escobet, T., editor
|
| ISBN |
9783319507514 |
|
3319507516 |
|
