Water Systems towards New Future Challenges

• Other Authors: Ramos, Helena M. (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: History of engineering & technology; seismic reliability; water distribution system; optimal layout; Anytown network; water network expansion; water network capacity; intermittent water supply; theoretical maximum flow; system setting curve; demand estimation; Kalman filter; node grouping; genetic algorithm; smart water; water-energy nexus; energy efficiency; sustainable water management; energy recovering; design criteria; structure analysis; suspended pipelines; finite element method (FEM); SWMM Toolkit; sewer system; design; optimization; micro-hydropower; water supply networks; energy potential; tubular propeller turbine; energy recovery; urban flooding; centralized reservoir; decentralized reservoir; cooperative operation; most stringent water resources management; initial provincial water rights; dynamic projection pursuit; energy saving; Pump As Turbine (PAT); PAT and pump system (P& P); pumping; water hammer; air vessel sizing; energy storage; dynamic behavior; CAES; irrigation water networks; renewable energy; sustainability and efficiency; hydropower solutions; water management; air-water; air pocket; air valve; hydraulic model; pipeline; emptying; water supply
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

This book comprises components associated with smart water which aims at the exploitation and building of more sustainable and technological water networks towards the water-energy nexus and system efficiency. The implementation of modeling frameworks for measuring the performance based on a set of relevant indicators and data applications and model interfaces provides better support for decisions towards greater sustainability and more flexible and safer solutions. The hydraulic, management, and structural models represent the most effective and viable way to predict the behavior of the water networks under a wide range of conditions of demand and system failures. The knowledge of reliable parameters is crucial to develop approach models and, therefore, positive decisions in real time to be implemented in smart water systems. On the other hand, the models of operation in real-time optimization allow us to extend decisions to smart water systems in order to improve the efficiency of the water network and ensure more reliable and flexible operations, maximizing cost, environmental, and social savings associated with losses or failures. The data obtained in real time instantly update the network model towards digital water models, showing the characteristic parameters of pumps, valves, pressures, and flows, as well as hours of operation towards the lowest operating costs, in order to meet the requirement objectives for an efficient system.

Physical Description

1 electronic resource (240 p.)

ISBN

books978-3-0365-0411-7
9783036504100
9783036504117

Access

Open Access