Modeling, Control and Optimization of Water Systems. Systems Engineering Methods for Control and Decision Making Tasks.

Rauschenbach, Thomas (Ed.)

ISBN 10: 3642160255 / ISBN 13: 9783642160257

Editore: Berlin, Springer., 2016

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VII, 303 p. 143 illus., 82 illus. in color) online resource. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Codice articolo 41454HB

Dati bibliografici

Titolo: Modeling, Control and Optimization of Water ...

Casa editrice: Berlin, Springer.

Data di pubblicazione: 2016

Legatura: Rilegato

Descrizione articolo

Riassunto:

This book provides essential background knowledge on the development of model-based real-world solutions in the field of control and decision making for water systems. It presents system engineering methods for modelling surface water and groundwater resources as well as water transportation systems (rivers, channels and pipelines). The models in turn provide information on both the water quantity (flow rates, water levels) of surface water and groundwater and on water quality. In addition, methods for modelling and predicting water demand are described. Sample applications of the models are presented, such as a water allocation decision support system for semi-arid regions, a multiple-criteria control model for run-of-river hydropower plants, and a supply network simulation for public services.

Contenuti:

1. Introduction

1. What are models in the field of systems engineering?
2. Why do we need systems engineering methods for water systems modelling?

2. Surface water modelling

1. Temporal and spatial discretization of Saint-Venant-Equations
2. Rivers / open channels
3. Reservoirs
4. Retention areas
5. Catchment areas
6. Water quality models for surface water systems

3. Groundwater modelling

1. Governing equations in groundwater modelling
2. Derivation of input data and parameters
3. Initial and boundary conditions
4. Reduced groundwater models

4. Coupling of groundwater and surface water models
5. Simulation of pipeline systems

1. Drinking water supply system of cities

1. Long-distance water supply

1. Water demand modelling

1. Households
2. Agriculture
3. Industry

2. Model based decision support systems

1. Structure of a model based decision support system
2. Which simulation models are used?
3. Using optimization techniques

3. Applications

1. Project "Beijing Water"
2. Pipeline network simulation for public services
3. Water quality modelling for river Havel
4. Optimal control of run-of-river hydropower plants