
Optimization of Urban Wastewater Systems using Model Based Design and Control
UNESCO-IHE PhD Thesis
- 200 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Optimization of Urban Wastewater Systems using Model Based Design and Control
UNESCO-IHE PhD Thesis
About this book
A considerable amount of scientific evidence has been collected leading to the conclusion that urban wastewater components should be designed as one integrated system, in order to protect the receiving waters cost-effectively. Moreover, there is a need to optimize the design and operation of the sewerage network and wastewater treatment plant (WwTP) considering the dynamic interactions between them and the receiving waters. This book introduces a method called Model Based Design and Control (MoDeCo) for the optimum design and control of urban wastewater components. The book presents a detailed description of the integration of modelling tools for the sewer, the wastewater treatment plants and the rivers. The complex modelling structure used for the integrated model challenge previous applications of integrated modelling approaches presented in scientific literature. The combination of modelling tools and multi-objective evolutionary algorithms demonstrated in this book represent an excellent tool for designers and managers of urban wastewater infrastructure. This book also presents two alternatives to solve the computing demand of the optimization of integrated systems in practical applications: the use of surrogate modelling tools and the use of cloud computer infrastructure for parallel computing.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Preface
- Acknowledgements
- Dedication
- Summary
- Table of Content
- 1 Introduction and Scope
- 2 State of the Art in Optimal Design and Control of Urban Wastewater Systems
- 3 Framework for Optimum Design and Control of Urban Wastewater Systems
- 4 Design of an Urban Wastewater System for Cali
- 5 Functional Design of Gouda Wastewater Treatment Plant
- 6 Use of Cloud Computing and Surrogate Modelling in Optimization Processes
- 7 Conclusions and Recommendations
- 8 Appendix
- 9 References
- 10 About the Author
- 11 Samenvatting