Modelling for Water Resource Recovery
Published on 15. June 2024
Book
Paperback/Softback
116 pages
978-1-78906-482-7 (ISBN)
Description
Our society is transitioning quickly into the digital age, spurred by the development of cheap and new sensing technology, breakthroughs in computing, and the development of efficient algorithms for optimization. This transition is also visible in the field of wastewater treatment and is driving new model developments, especially by exploiting the large data sets available with many utilities. At the same time, engineering practice calls for more robust models for performance evaluation and optimization of both conventional facilities and innovative processes.
This book showcases six relevant studies that highlight recent promising model developments.
In Focus - a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.
This book showcases six relevant studies that highlight recent promising model developments.
In Focus - a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.
More details
Series
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 275 mm
Width: 213 mm
Thickness: 12 mm
Weight
318 gr
ISBN-13
978-1-78906-482-7 (9781789064827)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
Editorial: Water resource recovery modelling 2021 (WRRmod2021 conference)
Nicolas Derlon, Kris Villez
Using plant data to estimate biodegradable COD fractions - case study kwaMashu WWTP
Barbara Brouckaert, Christopher Brouckaert, Akash Singh, Kaverajen Pillay, Xavier Flores-Alsina, David Ikumi
Modelling of aerobic granular sludge reactors: the importance of hydrodynamic regimes, selective sludge removal and gradients
Nicolas Derlon, Mercedes Garcia Villodres, Robert Kovacs, Antoine Brison, Manuel Layer, Imre Takacs, Eberhard Morgenroth
Mainstream short-cut N removal modelling: current status and perspectives
Gamze Kirim, Kester McCullough, Thiago Bressani-Ribeiro, Carlos Domingo-Felez, Haoran Duan, Ahmed Al-Omari, Haydee De Clippeleir, Jose Jimenez, Stephanie Klaus, Mojolaoluwa Ladipo-Obasa, Mohamad-Javad Mehrani, Pusker Regmi, Elena Torfs, Eveline I. P. Volcke, Peter A. Vanrolleghem
An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm
Feiyi Li, Peter A. Vanrolleghem
Hybrid modelling of water resource recovery facilities: status and opportunities
Mariane Yvonne Schneider, Ward Quaghebeur, Sina Borzooei, Andreas Froemelt, Feiyi Li, Ramesh Saagi, Matthew J. Wade, Jun-Jie Zhu, Elena Torfs
The transition of WRRF models to digital twin applications
Elena Torfs, Niels Nicolai, Saba Daneshgar, John B. Copp, Henri Haimi, David Ikumi, Bruce Johnson, Benedek B. Plosz, Spencer Snowling, Lloyd R. Townley, Borja Valverde-Perez, Peter A. Vanrolleghem, Luca Vezzaro, Ingmar Nopens
Nicolas Derlon, Kris Villez
Using plant data to estimate biodegradable COD fractions - case study kwaMashu WWTP
Barbara Brouckaert, Christopher Brouckaert, Akash Singh, Kaverajen Pillay, Xavier Flores-Alsina, David Ikumi
Modelling of aerobic granular sludge reactors: the importance of hydrodynamic regimes, selective sludge removal and gradients
Nicolas Derlon, Mercedes Garcia Villodres, Robert Kovacs, Antoine Brison, Manuel Layer, Imre Takacs, Eberhard Morgenroth
Mainstream short-cut N removal modelling: current status and perspectives
Gamze Kirim, Kester McCullough, Thiago Bressani-Ribeiro, Carlos Domingo-Felez, Haoran Duan, Ahmed Al-Omari, Haydee De Clippeleir, Jose Jimenez, Stephanie Klaus, Mojolaoluwa Ladipo-Obasa, Mohamad-Javad Mehrani, Pusker Regmi, Elena Torfs, Eveline I. P. Volcke, Peter A. Vanrolleghem
An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm
Feiyi Li, Peter A. Vanrolleghem
Hybrid modelling of water resource recovery facilities: status and opportunities
Mariane Yvonne Schneider, Ward Quaghebeur, Sina Borzooei, Andreas Froemelt, Feiyi Li, Ramesh Saagi, Matthew J. Wade, Jun-Jie Zhu, Elena Torfs
The transition of WRRF models to digital twin applications
Elena Torfs, Niels Nicolai, Saba Daneshgar, John B. Copp, Henri Haimi, David Ikumi, Bruce Johnson, Benedek B. Plosz, Spencer Snowling, Lloyd R. Townley, Borja Valverde-Perez, Peter A. Vanrolleghem, Luca Vezzaro, Ingmar Nopens