1st Edition

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

By Carlos Alberto Velez Quintero Copyright 2012
250 Pages
by CRC Press

200 Pages
by CRC Press

200 Pages
by CRC Press

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... Read more

1 General Introduction to Urban Wastewater System; 2 State of the Art in Optimal Design and Control of Urban Wastewater Systems; 3 Proposed 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

Biography

Carlos VĂ©lez is a sanitary engineer expert in mathematical modelling of water systems. He has more than 12 years of practical experience in using modelling tools to find solutions for the sustainable management of water systems. Carlos is a former researcher at the institute Cinara and was part of the team that received the Colombian National Award Lorenzo Codazzi for the project: Modelling the Cauca River. He graduated, with distinction, from the Master of Science of Hydroinformatics from UNESCO-IHE Institute for Water Education and has a PhD from UNESCO-IHE and TU Delft, The Netherlands. He has written over 20 publications and participated in the major conferences in urban wastewater and hydroinfomatics. He recently published a book on water quality and ecosystem modelling. Currently he is working in the development of web service application in the cloud, using cloud computing infrastructure to integrate data from urban water systems and information generated with models to facilitate the decision making process at operational and planning level.