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Stochastic Process Optimization using Aspen (R) Plus Bookshop
Category: Chemical Engineering Optimization can be simply defined
as "choosing the best alternative among a set of feasible options".
In all the engineering areas, optimization has a wide range of
applications, due to the high number of decisions involved in an
engineering environment. Chemical engineering, and particularly
process engineering, is not an exception; thus stochastic methods
are a good option to solve optimization problems for the complex
process engineering models. In this book, the combined use of the
modular simulator Aspen (R) Plus and stochastic optimization
methods, codified in MATLAB, is presented. Some basic concepts of
optimization are first presented, then, strategies to use the
simulator linked with the optimization algorithm are shown.
Finally, examples of application for process engineering are
discussed. The reader will learn how to link the process simulator
Aspen (R) Plus and stochastic optimization algorithms to solve
process design problems. They will gain ability to perform
multi-objective optimization in several case studies. Key Features:
* The book links simulation and optimization through numerical
analyses and stochastic optimization techniques * Includes use of
examples to illustrate the application of the concepts and specific
guidance on the use of software (Aspen (R) Plus, Excel, MATLB) to
set up and solve models representing complex problems. *
Illustrates several examples of applications for the linking of
simulation and optimization software with other packages for
optimization purposes. * Provides specific information on how to
implement stochastic optimization with process simulators. * Enable
readers to identify practical and economic solutions to problems of
industrial relevance, enhancing the safety, operation,
environmental, and economic performance of chemical processes.
Stochastic Process Optimization using Aspen (R) Plus Bookshop
Category: Chemical Engineering Optimization can be simply defined
as "choosing the best alternative among a set of feasible options".
In all the engineering areas, optimization has a wide range of
applications, due to the high number of decisions involved in an
engineering environment. Chemical engineering, and particularly
process engineering, is not an exception; thus stochastic methods
are a good option to solve optimization problems for the complex
process engineering models. In this book, the combined use of the
modular simulator Aspen (R) Plus and stochastic optimization
methods, codified in MATLAB, is presented. Some basic concepts of
optimization are first presented, then, strategies to use the
simulator linked with the optimization algorithm are shown.
Finally, examples of application for process engineering are
discussed. The reader will learn how to link the process simulator
Aspen (R) Plus and stochastic optimization algorithms to solve
process design problems. They will gain ability to perform
multi-objective optimization in several case studies. Key Features:
* The book links simulation and optimization through numerical
analyses and stochastic optimization techniques * Includes use of
examples to illustrate the application of the concepts and specific
guidance on the use of software (Aspen (R) Plus, Excel, MATLB) to
set up and solve models representing complex problems. *
Illustrates several examples of applications for the linking of
simulation and optimization software with other packages for
optimization purposes. * Provides specific information on how to
implement stochastic optimization with process simulators. * Enable
readers to identify practical and economic solutions to problems of
industrial relevance, enhancing the safety, operation,
environmental, and economic performance of chemical processes.
Biofuels and Biorefining: Volume One: Current Technologies for
Biomass Conversion considers the conventional processes for
biofuels and biomass-derived products in single and biorefinery
schemes. Sections address the fundamentals of the transformation of
biomass into fuels and products, including a discussion of current
and future scenarios, potential raw materials that can be used, the
main processing technologies and their commercial potential, and a
description of the concept of biorefinery and the opportunities
offered by this approach. Each chapter is supported by industry
case studies covering the development of each product, fuel type,
and biorefinery. This book provides an integrated approach to
biofuels production and process intensification that will be useful
to researchers involved in all aspects of bioenergy, particularly
those interested in cost reduction, environmental impact and
enhanced production.
Biofuels and Biorefining: Volume Two: Intensified Processes and
Biorefineries considers intensification and optimization processes
for biofuels and biomass-derived products in single and biorefinery
schemes. Chapters cover production processes for liquid biofuels,
introducing all feasible intensification alternatives for each
process, process intensification methods for the production of
value-added products, the importance of detailed CFD-based studies,
controllability studies, strategies for risk analysis in
intensified processes, the concept of biorefinery for the
co-production of biofuels/biomass derived value-added products, and
the importance of process intensification in the biorefinery
scheme. Final chapters discuss how to ensure the sustainability of
the intensified process and minimize the societal impact of
biorefineries through various strategies, including supply chain
optimization and lifecycle analysis. Each chapter is supported by
industry case studies that address key aspects and impacts of
intensification and optimization processes.
Intensified processes have found widespread application in the
chemical and petrochemical industries. The use of intensified
systems allows for a reduction of operating costs and supports the
"greening" of chemical processes. However, the design of
intensified equipment requires special methodologies. This book
describes the fundamentals and applications of these design
methods, making it a valuable resource for use in both industry and
academia.
Process synthesis and process intensification are becoming
state-of-the-art scientific fields that provide the methods and
tools to improve process technologies in terms of high energy
efficiency, low capital investment, low emissions, improved safety,
and less hazardous byproducts to achieve sustainable products and
processes. The book covers manufacturing processes from both
fossil- and biomass-based feedstocks for graduate students.
Production Processes of Renewable Aviation Fuel: Present
Technologies and Future Trends presents the available production
processes for renewable aviation fuel, including the application of
intensification and energy integration strategies. Despite biofuels
have gained a lot of interest in the last years, renewable aviation
fuel is one of the less studied. In the last ten years, there has
been an incredible growth in the number of patents and articles
related with its production processes. Several transformation
pathways have been proposed, and new ones have been outlined. The
book contains the main information about the production processes
of renewable aviation fuel, considering international standards,
available technologies, and recent scientific contributions. It
also outlines the motivation for the development of renewable
aviation fuel, and its main processing pathways from the different
renewable raw materials. In addition, the application of
intensification and energy integration strategies is presented,
along with the identified future trends in this area
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