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Engineering - Control Engineering | Modelling, Control and Optimization of Water Systems - Systems Engineering Methods for Control

Modelling, Control and Optimization of Water Systems

Systems Engineering Methods for Control and Decision Making Tasks

Rauschenbach, Thomas (Ed.)

2015, 300 p.

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  • About this book

  • Offers an approach for simulation of surface water and ground water systems which is different from the tradition hydrological approach
  • The systems engineering approach is developed for control and decision making tasks
  • Applications of the presented techniques are included

This book provides 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 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.

Content Level » Research

Keywords » Modelling - control strategies - groundwater systems - model-based decision-making - optimization - simulation - surface water systems - water demand

Related subjects » Civil Engineering - Control Engineering - Hydrogeology - Water Industry and Technologies

Table of contents 

  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

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