TY - BOOK ID - 145887074 TI - Water Systems towards New Future Challenges PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - History of engineering & technology KW - seismic reliability KW - water distribution system KW - optimal layout KW - Anytown network KW - water network expansion KW - water network capacity KW - intermittent water supply KW - theoretical maximum flow KW - system setting curve KW - demand estimation KW - Kalman filter KW - node grouping KW - genetic algorithm KW - smart water KW - water-energy nexus KW - energy efficiency KW - sustainable water management KW - energy recovering KW - design criteria KW - structure analysis KW - suspended pipelines KW - finite element method (FEM) KW - SWMM Toolkit KW - sewer system KW - design KW - optimization KW - micro-hydropower KW - water supply networks KW - energy potential KW - tubular propeller turbine KW - energy recovery KW - urban flooding KW - centralized reservoir KW - decentralized reservoir KW - cooperative operation KW - most stringent water resources management KW - initial provincial water rights KW - dynamic projection pursuit KW - energy saving KW - Pump As Turbine (PAT) KW - PAT and pump system (P& KW - P) KW - pumping KW - water hammer KW - air vessel sizing KW - energy storage KW - dynamic behavior KW - CAES KW - irrigation water networks KW - renewable energy KW - sustainability and efficiency KW - hydropower solutions KW - water management KW - air-water KW - air pocket KW - air valve KW - hydraulic model KW - pipeline KW - emptying KW - water supply KW - seismic reliability KW - water distribution system KW - optimal layout KW - Anytown network KW - water network expansion KW - water network capacity KW - intermittent water supply KW - theoretical maximum flow KW - system setting curve KW - demand estimation KW - Kalman filter KW - node grouping KW - genetic algorithm KW - smart water KW - water-energy nexus KW - energy efficiency KW - sustainable water management KW - energy recovering KW - design criteria KW - structure analysis KW - suspended pipelines KW - finite element method (FEM) KW - SWMM Toolkit KW - sewer system KW - design KW - optimization KW - micro-hydropower KW - water supply networks KW - energy potential KW - tubular propeller turbine KW - energy recovery KW - urban flooding KW - centralized reservoir KW - decentralized reservoir KW - cooperative operation KW - most stringent water resources management KW - initial provincial water rights KW - dynamic projection pursuit KW - energy saving KW - Pump As Turbine (PAT) KW - PAT and pump system (P& KW - P) KW - pumping KW - water hammer KW - air vessel sizing KW - energy storage KW - dynamic behavior KW - CAES KW - irrigation water networks KW - renewable energy KW - sustainability and efficiency KW - hydropower solutions KW - water management KW - air-water KW - air pocket KW - air valve KW - hydraulic model KW - pipeline KW - emptying KW - water supply UR - https://www.unicat.be/uniCat?func=search&query=sysid:145887074 AB - 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. ER -