For reasons both financial and environmental, there is a
perpetual need to optimize the design and operating conditions of
industrial process systems in order to improve their performance,
energy efficiency, profitability, safety and reliability. However,
with most chemical engineering application problems having many
variables with complex inter-relationships, meeting these
optimization objectives can be challenging. This is where
Multi-Objective Optimization (MOO) is useful to find the optimal
trade-offs among two or more conflicting objectives.
This book provides an overview of the recent developments and
applications of MOO for modeling, design and operation of chemical,
petrochemical, pharmaceutical, energy and related processes. It
then covers important theoretical and computational developments as
well as specific applications such as metabolic reaction networks,
chromatographic systems, CO2 emissions targeting for petroleum
refining units, ecodesign of chemical processes, ethanol
purification and cumene process design.
"Multi-Objective Optimization in Chemical Engineering:
Developments and Applications" is an invaluable resource for
researchers and graduate students in chemical engineering as well
as industrial practitioners and engineers involved in process
design, modeling and optimization.
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