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Showing 1 - 11 of 11 matches in All Departments
Inspired by the leading authority in the field, the Centre for
Process Systems Engineering at Imperial College London, this book
includes theoretical developments, algorithms, methodologies and
tools in process systems engineering and applications from the
chemical, energy, molecular, biomedical and other areas. It spans a
whole range of length scales seen in manufacturing industries, from
molecular and nanoscale phenomena to enterprise-wide optimization
and control. As such, this will appeal to a broad readership, since
the topic applies not only to all technical processes but also due
to the interdisciplinary expertise required to solve the
challenge.
Traditionally, process design and control system design are performed sequentially. It is only recently displayed that a simultaneous approach to the design and control leads to significant economic benefits and improved dynamic performance during plant operation.
This fifth volume in the series is the first comprehensive source
on energy systems engineering for the process industries. As such,
it combines key contributions from leading research groups to form
a single source of vital information otherwise dispersed among
specialized journals.
Inspired by the leading authority in the field, the Centre for
Process Systems Engineering at Imperial College London, this book
includes theoretical developments, algorithms, methodologies and
tools in process systems engineering and applications from the
chemical, energy, molecular, biomedical and other areas. It spans a
whole range of length scales seen in manufacturing industries, from
molecular and nanoscale phenomena to enterprise-wide optimization
and control. As such, this will appeal to a broad readership, since
the topic applies not only to all technical processes but also due
to the interdisciplinary expertise required to solve the
challenge.
Inspired by the leading authority in the field, the Centre for
Process Systems Engineering at Imperial College London, this book
includes theoretical developments, algorithms, methodologies and
tools in process systems engineering and applications from the
chemical, energy, molecular, biomedical and other areas. It spans a
whole range of length scales seen in manufacturing industries, from
molecular and nanoscale phenomena to enterprise-wide optimization
and control. As such, this will appeal to a broad readership, since
the topic applies not only to all technical processes but also due
to the interdisciplinary expertise required to solve the
challenge.
This book provides a scientific framework for integrated solutions to complex energy problems. It adopts a holistic, systems-based approach to demonstrate the potential of an energy systems engineering approach to systematically quantify different options at various levels of complexity (technology, plant, energy supply chain, mega-system). Utilizing modeling, simulation and optimization-based frameworks, along with a number of real-life applications, it focuses on advanced energy systems including energy supply chains, integrated biorefineries, energy planning and scheduling approaches and urban energy systems. Featuring contributions from leading researchers in the field, this work is useful for academics, researchers, industry practitioners in energy systems engineering, and all those who are involved in model-based energy systems.
This volume presents recent exciting developments for the solution of model based predictive control problems by multiparametric programming algorithms and tools, described in volume 1 of this series. Model based predictive control (MPC) is the advanced control technology of choice in process systems applications, for on-line control and real-time optimization. It relies in the computation of the optimal control input actions by repeteadly solving on-line and open or closed loop optimal control problem at the time instant when a state measurement or estimation becomes available. However, the capabilities of this technology are restricted mainly by the often extensive and computationally demanding on-line calculations, which make MPC mostly suitable for large-scale, expensive and slowly-varying systems. This book describes in detail how these shortcomings can be effcetively overcome by employing the novel multi-parametric programming theory and algorithms of volume 1, for a wide range of MPC problems, including hybrid and robust control. The book is intended for academics, researchers and control practitioners who are involved on contemporary control studies, the design and implementation of control strategies, and the development of control hardware for embedded systems applications, as well as for educational purposes both in academia and industry. The Process Systems Engineering (PSE) Series offers an integrated and interdisciplinary approach towards the development of methodologies and tools for modeling, design, control and optimization of enterprise-wide, process, manufacturing, energy and other such complex systems. A key theme is the systematic management ofcomplexity in systems involving uncertainty across different time and length scales. To address this formidable challenge, the multi-disciplinary expertise of mechanical, control, chemical, molecular and biological engineers, operations researchers, mathematical programming specialists and computer scientists is required.
This first book to cover all aspects of multi-parametric
programming and its applications in process systems engineering
includes theoretical developments and algorithms in
multi-parametric programming with applications from the
manufacturing sector and energy and environment analysis. The
volume thus reflects the importance of fundamental research in
multi-parametric programming applications, developing mechanisms
for the transfer of the new technology to industrial problems.
Since the topic applies to a wide range of process systems, as well
as due to the interdisciplinary expertise required to solve the
challenge, this reference will find a broad readership.
This book provides a scientific framework for integrated solutions to complex energy problems. It adopts a holistic, systems-based approach to demonstrate the potential of an energy systems engineering approach to systematically quantify different options at various levels of complexity (technology, plant, energy supply chain, mega-system). Utilizing modeling, simulation and optimization-based frameworks, along with a number of real-life applications, it focuses on advanced energy systems including energy supply chains, integrated biorefineries, energy planning and scheduling approaches and urban energy systems. Featuring contributions from leading researchers in the field, this work is useful for academics, researchers, industry practitioners in energy systems engineering, and all those who are involved in model-based energy systems.
33rd European Symposium on Computer Aided Process Engineering: ESCAPE-33, Volume 52 contains the papers presented at the 33rd European Symposium of Computer-Aided Process Engineering (ESCAPE) event held in Athens, Greece. It is a valuable resource for chemical engineers, chemical process engineers, researchers in industry and academia, students and consultants in the chemical industries.
Inspired by the leading authority in the field, the Centre for
Process Systems Engineering at Imperial College London, this book
includes theoretical developments, algorithms, methodologies and
tools in process systems engineering and applications from the
chemical, energy, molecular, biomedical and other areas. It spans a
whole range of length scales seen in manufacturing industries, from
molecular and nanoscale phenomena to enterprise-wide optimization
and control. As such, this will appeal to a broad readership, since
the topic applies not only to all technical processes but also due
to the interdisciplinary expertise required to solve the
challenge.
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