Dochain Peter Vanrolleghem (5 results)

Hardcover. Condition: Very Good. 1st Edition. Hardcover, xiii + 342 pages, NOT ex-library. Minor external handling wear, book is clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. -- A comprehensive and technical guide that explores the application of dynamical modeling and estimation techniques to the field of wastewater treatment, this book provides a detailed examination of how these advanced mathematical and computational methods can be used to optimize and improve the efficiency of wastewater treatment processes. The book delves into the fundamentals of dynamical systems theory and its relevance to wastewater treatment. It covers a wide range of topics, including the development of mathematical models to represent the biological, chemical, and physical processes occurring in wastewater treatment plants. These models are crucial for understanding the behavior of the system under various conditions and for designing control strategies to enhance treatment performance. The book also addresses the estimation techniques necessary for parameter identification and state estimation, which are essential for the practical implementation of these models. By using real-world data and case studies, the authors illustrate how these techniques can be applied to monitor and control wastewater treatment processes effectively. -- Key features of the book include: - detailed explanations of dynamical modeling principles and their application to wastewater treatment; - comprehensive coverage of estimation techniques, including parameter estimation and state observers; - practical examples and case studies demonstrating the application of these techniques in real-world scenarios; - discussions on the challenges and future directions in the field of wastewater treatment modeling and control. "Dynamical Modelling and Estimation in Wastewater Treatment Processes" is an invaluable resource for students, researchers, and professionals in environmental engineering, chemical engineering, and related fields. It provides the theoretical foundation and practical tools needed to develop and implement advanced modeling and control strategies in wastewater treatment, contributing to more efficient and sustainable environmental management practices.

Hardback. Condition: New. Environmental quality is becoming an increasing concern in our society. In that context, waste and wastewater treatment, and more specifically biological wastewater treatment processes play an important role. In this book, we concentrate on the mathematical modelling of these processes. The main purpose is to provide the increasing number of professionals who are using models to design, optimise and control wastewater treatment processes with the necessary background for their activities of model building, selection and calibration. The book deals specifically with dynamic models because they allow us to describe the behaviour of treatment plants under the highly dynamic conditions that we want them to operate (e.g. Sequencing Batch Reactors) or we have to operate them (e.g. storm conditions, spills). Further extension is provided to new reactor systems for which partial differential equation descriptions are necessary to account for their distributed parameter nature (e.g. settlers, fixed bed reactors). The model building exercise is introduced as a step-wise activity that, in this book, starts from mass balancing principles. In many cases, different hypotheses and their corresponding models can be proposed for a particular process. It is therefore essential to be able to select from these candidate models in an objective manner. To this end, structure characterisation methods are introduced. Important sections of the book deal with the collection of high quality data using optimal experimental design, parameter estimation techniques for calibration and the on-line use of models in state and parameter estimators. Contents Dynamical Modelling                      Dynamical Mass Balance Model Building and Analysis                      Structure Characterisation (SC)                      Structural Identifiability                      Practical Identifiability and Optimal Experiment Design for Parameter Estimation (OED/PE)                      Estimation of Model Parameters                      Recursive State and Parameter Estimation                      Glossary                     Nomenclature.

Hardback. Condition: New. Environmental quality is becoming an increasing concern in our society. In that context, waste and wastewater treatment, and more specifically biological wastewater treatment processes play an important role. In this book, we concentrate on the mathematical modelling of these processes. The main purpose is to provide the increasing number of professionals who are using models to design, optimise and control wastewater treatment processes with the necessary background for their activities of model building, selection and calibration. The book deals specifically with dynamic models because they allow us to describe the behaviour of treatment plants under the highly dynamic conditions that we want them to operate (e.g. Sequencing Batch Reactors) or we have to operate them (e.g. storm conditions, spills). Further extension is provided to new reactor systems for which partial differential equation descriptions are necessary to account for their distributed parameter nature (e.g. settlers, fixed bed reactors). The model building exercise is introduced as a step-wise activity that, in this book, starts from mass balancing principles. In many cases, different hypotheses and their corresponding models can be proposed for a particular process. It is therefore essential to be able to select from these candidate models in an objective manner. To this end, structure characterisation methods are introduced. Important sections of the book deal with the collection of high quality data using optimal experimental design, parameter estimation techniques for calibration and the on-line use of models in state and parameter estimators. Contents Dynamical Modelling                      Dynamical Mass Balance Model Building and Analysis                      Structure Characterisation (SC)                      Structural Identifiability                      Practical Identifiability and Optimal Experiment Design for Parameter Estimation (OED/PE)                      Estimation of Model Parameters                      Recursive State and Parameter Estimation                      Glossary                     Nomenclature.

Hardback. Condition: New. Environmental quality is becoming an increasing concern in our society. In that context, waste and wastewater treatment, and more specifically biological wastewater treatment processes play an important role. In this book, we concentrate on the mathematical modelling of these processes. The main purpose is to provide the increasing number of professionals who are using models to design, optimise and control wastewater treatment processes with the necessary background for their activities of model building, selection and calibration. The book deals specifically with dynamic models because they allow us to describe the behaviour of treatment plants under the highly dynamic conditions that we want them to operate (e.g. Sequencing Batch Reactors) or we have to operate them (e.g. storm conditions, spills). Further extension is provided to new reactor systems for which partial differential equation descriptions are necessary to account for their distributed parameter nature (e.g. settlers, fixed bed reactors). The model building exercise is introduced as a step-wise activity that, in this book, starts from mass balancing principles. In many cases, different hypotheses and their corresponding models can be proposed for a particular process. It is therefore essential to be able to select from these candidate models in an objective manner. To this end, structure characterisation methods are introduced. Important sections of the book deal with the collection of high quality data using optimal experimental design, parameter estimation techniques for calibration and the on-line use of models in state and parameter estimators. Contents Dynamical Modelling                      Dynamical Mass Balance Model Building and Analysis                      Structure Characterisation (SC)                      Structural Identifiability                      Practical Identifiability and Optimal Experiment Design for Parameter Estimation (OED/PE)                      Estimation of Model Parameters                      Recursive State and Parameter Estimation                      Glossary                     Nomenclature.

Hardback. Condition: New. Environmental quality is becoming an increasing concern in our society. In that context, waste and wastewater treatment, and more specifically biological wastewater treatment processes play an important role. In this book, we concentrate on the mathematical modelling of these processes. The main purpose is to provide the increasing number of professionals who are using models to design, optimise and control wastewater treatment processes with the necessary background for their activities of model building, selection and calibration. The book deals specifically with dynamic models because they allow us to describe the behaviour of treatment plants under the highly dynamic conditions that we want them to operate (e.g. Sequencing Batch Reactors) or we have to operate them (e.g. storm conditions, spills). Further extension is provided to new reactor systems for which partial differential equation descriptions are necessary to account for their distributed parameter nature (e.g. settlers, fixed bed reactors). The model building exercise is introduced as a step-wise activity that, in this book, starts from mass balancing principles. In many cases, different hypotheses and their corresponding models can be proposed for a particular process. It is therefore essential to be able to select from these candidate models in an objective manner. To this end, structure characterisation methods are introduced. Important sections of the book deal with the collection of high quality data using optimal experimental design, parameter estimation techniques for calibration and the on-line use of models in state and parameter estimators. Contents Dynamical Modelling                      Dynamical Mass Balance Model Building and Analysis                      Structure Characterisation (SC)                      Structural Identifiability                      Practical Identifiability and Optimal Experiment Design for Parameter Estimation (OED/PE)                      Estimation of Model Parameters                      Recursive State and Parameter Estimation                      Glossary                     Nomenclature.