Modeling, Control and Optimization of Water Systems
(Englisch)
Systems Engineering Methods for Control and Decision Making Tasks
Rauschenbach, Thomas

Presents an approach for the simulation of surface water and groundwater systems that departs from the traditional hydrological approach

Applies the systems engineering approach for control and decision-making tasks

Includes concrete applications of the techniques presented

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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.

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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 techn

iques

Applications

1. Project "Beijing Water"
2. Pipeline network simulation for public services
3. Water quality modelling for river Havel

Optimal control of run-of-river hydropower plants

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Surface water modelling.- Groundwater modelling.- Coupling of groundwater and surface water models.- Simulation of pipeline systems.- Model based decision support systems.- Applications.

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Thomas Rauschenbach, Jg. 1952, Dr. rer. soc., Dipl. Päd., ist Professor für Sozialpädagogik am Institut für Sozialpädagogik, Erwachsenenbildung und Pädagogik der frühen Kindheit der Universtät Dortmund.

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Inhaltsverzeichnis

Surface water modelling.- Groundwater modelling.- Coupling of groundwater and surface water models.- Simulation of pipeline systems.- Model based decision support systems.- Applications.

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Klappentext

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.

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Presents an approach for the simulation of surface water and groundwater systems that departs from the traditional hydrological approach

Applies the systems engineering approach for control and decision-making tasks

Includes concrete applications of the techniques presented

Includes supplementary material: sn.pub/extras