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Optimization of Urban Wastewater Systems using Model Based Design and Control
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Optimization of Urban Wastewater Systems using Model Based Design and Control : UNESCO-IHE PhD Thesis

Book Details

Format Paperback / Softback
ISBN-10 1138000027
ISBN-13 9781138000025
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 15th, 2012
Print length 250 Pages
Weight 430 grams
Ksh 17,100.00
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This book presents the Model Based Design and Control (MoDeCo) for the optimum design and control of urban wastewater components. It presents a detailed description of the integration of modelling tools for the sewer, the wastewater treatment plant and the river. The complex modelling structure used for the integrated model challenge previous

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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