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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
Giving an overview of the challenges in the control of
bioprocesses, this comprehensive book presents key results in
various fields, including: dynamic modeling; dynamic properties of
bioprocess models; software sensors designed for the on-line
estimation of parameters and state variables; control and
supervision of bioprocesses.
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