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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.
Advances and Developments in Biobutanol Production is a
comprehensive reference on the production and purification of
biobutanol, from the fundamentals to the latest advances. Focusing
on selection of biomass, choice of pretreatments, biochemistry and
design of fermentation, purification and biofuel application, the
book also provides details on biorefinery design, lifecycle
analysis, and offers perspectives on future developments. Through
detailed analysis, chapters show readers how to overcome the
challenges associated with the correct selection of raw material
and adequate biomass pretreatment, the selection of microorganisms
for fermenting biomass sugars, the purification of effluent coming
from fermentation, and the high energy demands of production.
Solutions are supported by step-by-step guidance on methodologies
and processes, with lab and industry-scale case studies providing
real-world examples of their implementation. This book provides
readers with a unique and comprehensive reference on the production
of biobutanol for biofuel that will be of interest to graduates,
researchers and professionals involved in bioenergy and renewable
energy.
This book describes for first time the synthesis and intensified
process design in the production of top biofuels. The production of
biofuels is not new. In 2019, global biofuel production levels
reached 1,841 thousand barrels of oil equivalent per day, in stark
comparison to the 187 thousand barrels of oil equivalent per day
that was produced in 2000. Growth has largely been driven by
policies that encourage the use and production of biofuels due to
the perception that it could provide energy security and reduce
greenhouse gas emissions in relevant sectors. From a technical
point of view, almost all fuels from fossil resources could be
substituted by their bio-based counterparts. However, the cost of
bio-based production in many cases exceeds the cost of
petrochemical production. Also, biofuels must be proven to perform
at least as good as the petrochemical equivalent they are
substituting and to have a lower environmental impact. The low
price of crude oil acted as a barrier to biofuels production and
producers focussed on the specific attributes of biofuels such as
their complex structure to justify production costs. Also, the
consumer demand for environmentally friendly products, population
growth and limited supplies of non-renewable resources has now
opened new windows of opportunity for biofuels. The industry is
increasingly viewing chemical production from renewable resources
as an attractive area for investment. This book uniquely introduces
the application of new process intensification techniques that will
allow the generation of clean, efficient and economical processes
for biofuels in a competitive way in the market.
Improvements in Bio-Based Building Blocks Production Through
Process Intensification and Sustainability Concepts discusses new
information on the production and cost of bio-based building
blocks. From a technical point-of-view, almost all industrial
materials made from fossil resources can be substituted using
bio-based counterparts. However, the cost of bio-based production
in many cases exceeds the cost of petrochemical production. In
addition, new products must be proven to perform at least as good
as their petrochemical equivalents, have a lower environmental
impact, meet consumer demand for environmentally-friendly products,
factor in population growth, and account for limited supplies of
non-renewables. This book outlines the application of process
intensification techniques which allow for the generation of clean,
efficient and economical processes for bio-based chemical blocks
production.
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.
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