Chemical Process Design, Simulation and Optimization

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Publisher :
ISBN 13 : 9783036500973
Total Pages : 352 pages
Book Rating : 4.5/5 (9 download)

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Book Synopsis Chemical Process Design, Simulation and Optimization by : Jean-Pierre Corriou

Download or read book Chemical Process Design, Simulation and Optimization written by Jean-Pierre Corriou and published by . This book was released on 2021 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a series of articles devoted to modeling, simulation, and optimization of processes, mainly chemical. General methods for process modeling and numerical simulation are described with flowsheeting. Population balances are addressed in detail with application to crystal production; energy saving is frequently optimized, including exergy analysis. The coupling between process simulation and computational fluid dynamics is studied for air classification and bubble columns. Pressure swing adsorption, reactive distillation, and nanofiltration are explained in general and applied to particular processes. The synthesis of carbon dots is solved by the design of experiments method. A safety study addresses the consequences of gas explosion.

Design, Simulation and Optimization of Adsorptive and Chromatographic Separations: A Hands-On Approach

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Publisher : John Wiley & Sons
ISBN 13 : 3527344691
Total Pages : 434 pages
Book Rating : 4.5/5 (273 download)

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Book Synopsis Design, Simulation and Optimization of Adsorptive and Chromatographic Separations: A Hands-On Approach by : Kevin R. Wood

Download or read book Design, Simulation and Optimization of Adsorptive and Chromatographic Separations: A Hands-On Approach written by Kevin R. Wood and published by John Wiley & Sons. This book was released on 2018-07-16 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive resource to the construction, use, and modification of the wide variety of adsorptive and chromatographic separations Design, Simulation and Optimization of Adsorptive and Chromatographic Separations offers the information needed to effectively design, simulate, and optimize adsorptive and chromatographic separations for a wide range of industrial applications. The authors?noted experts in the field?cover the fundamental principles, the applications, and a range of modeling techniques for the processes. The text presents a unified approach that includes the ideal and intermediate equations and offers a wealth of hands-on case studies that employ the rigorous simulation packages Aspen Adsorption and Aspen Chromatography. The text reviews the effective design strategies, details design considerations, and the assumptions which the modelers are allowed to make. The authors also cover shortcut design methods as well as mathematical tools that help to determine optimal operating conditions. This important text: -Covers everything from the underlying pheonmena to model optimization and the customization of model code -Includes practical tutorials that allow for independent review and study -Offers a comprehensive review of the construction, use, and modification of the wide variety of adsorptive and chromatographic separations -Contains contributions from three noted experts in the field Written for chromatographers, process engineers, ehemists, and other professionals, Design, Simulation and Optimization of Adsorptive and Chromatographic Separations offers a comprehensive review of the construction, use, and modification of adsorptive and chromatographic separations.

Stochastic Simulation Optimization: An Optimal Computing Budget Allocation

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Publisher : World Scientific
ISBN 13 : 9814466883
Total Pages : 246 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Stochastic Simulation Optimization: An Optimal Computing Budget Allocation by : Chun-hung Chen

Download or read book Stochastic Simulation Optimization: An Optimal Computing Budget Allocation written by Chun-hung Chen and published by World Scientific. This book was released on 2010-06-04 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advance of new computing technology, simulation is becoming very popular for designing large, complex and stochastic engineering systems, since closed-form analytical solutions generally do not exist for such problems. However, the added flexibility of simulation often creates models that are computationally intractable. Moreover, to obtain a sound statistical estimate at a specified level of confidence, a large number of simulation runs (or replications) is usually required for each design alternative. If the number of design alternatives is large, the total simulation cost can be very expensive.Stochastic Simulation Optimization addresses the pertinent efficiency issue via smart allocation of computing resource in the simulation experiments for optimization, and aims to provide academic researchers and industrial practitioners with a comprehensive coverage of OCBA approach for stochastic simulation optimization. Starting with an intuitive explanation of computing budget allocation and a discussion of its impact on optimization performance, a series of OCBA approaches developed for various problems are then presented, from the selection of the best design to optimization with multiple objectives. Finally, this book discusses the potential extension of OCBA notion to different applications such as data envelopment analysis, experiments of design and rare-event simulation.

Probabilistic Design for Optimization and Robustness for Engineers

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Publisher : John Wiley & Sons
ISBN 13 : 1118796195
Total Pages : 275 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Probabilistic Design for Optimization and Robustness for Engineers by : Bryan Dodson

Download or read book Probabilistic Design for Optimization and Robustness for Engineers written by Bryan Dodson and published by John Wiley & Sons. This book was released on 2014-10-06 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Design for Optimization and Robustness: Presents the theory of modeling with variation using physical models and methods for practical applications on designs more insensitive to variation. Provides a comprehensive guide to optimization and robustness for probabilistic design. Features examples, case studies and exercises throughout. The methods presented can be applied to a wide range of disciplines such as mechanics, electrics, chemistry, aerospace, industry and engineering. This text is supported by an accompanying website featuring videos, interactive animations to aid the readers understanding.

Simulation-Driven Modeling and Optimization

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Publisher : Springer
ISBN 13 : 3319275178
Total Pages : 405 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Simulation-Driven Modeling and Optimization by : Slawomir Koziel

Download or read book Simulation-Driven Modeling and Optimization written by Slawomir Koziel and published by Springer. This book was released on 2016-02-12 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is devoted to the now-ubiquitous use of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization techniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations. Various techniques, such as knowledge-based optimization, adjoint sensitivity techniques, and fast replacement models (to name just a few) are explored in-depth along with an array of the latest techniques to optimize the efficiency of the simulation-driven design process. High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design—while highly desirable—is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.

Surrogate-Based Modeling and Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 1461475511
Total Pages : 413 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Surrogate-Based Modeling and Optimization by : Slawomir Koziel

Download or read book Surrogate-Based Modeling and Optimization written by Slawomir Koziel and published by Springer Science & Business Media. This book was released on 2013-06-06 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, even more importantly, to adjust parameters of the system to have it meet given performance requirements. Unfortunately, accurate simulations are often computationally very expensive with evaluation times as long as hours or even days per design, making design automation using conventional methods impractical. These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable. This volume features surrogate-based modeling and optimization techniques, and their applications for solving difficult and computationally expensive engineering design problems. It begins by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses relevant modeling techniques, optimization algorithms and design procedures, as well as state-of-the-art developments. The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.

Simulation Optimization for Manufacturing System Design

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (476 download)

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Book Synopsis Simulation Optimization for Manufacturing System Design by : Rohit Kumar

Download or read book Simulation Optimization for Manufacturing System Design written by Rohit Kumar and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Application of Surrogate-based Global Optimization to Aerodynamic Design

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Publisher : Springer
ISBN 13 : 331921506X
Total Pages : 86 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Application of Surrogate-based Global Optimization to Aerodynamic Design by : Emiliano Iuliano

Download or read book Application of Surrogate-based Global Optimization to Aerodynamic Design written by Emiliano Iuliano and published by Springer. This book was released on 2015-10-05 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aerodynamic design, like many other engineering applications, is increasingly relying on computational power. The growing need for multi-disciplinarity and high fidelity in design optimization for industrial applications requires a huge number of repeated simulations in order to find an optimal design candidate. The main drawback is that each simulation can be computationally expensive – this becomes an even bigger issue when used within parametric studies, automated search or optimization loops, which typically may require thousands of analysis evaluations. The core issue of a design-optimization problem is the search process involved. However, when facing complex problems, the high-dimensionality of the design space and the high-multi-modality of the target functions cannot be tackled with standard techniques. In recent years, global optimization using meta-models has been widely applied to design exploration in order to rapidly investigate the design space and find sub-optimal solutions. Indeed, surrogate and reduced-order models can provide a valuable alternative at a much lower computational cost. In this context, this volume offers advanced surrogate modeling applications and optimization techniques featuring reasonable computational resources. It also discusses basic theory concepts and their application to aerodynamic design cases. It is aimed at researchers and engineers who deal with complex aerodynamic design problems on a daily basis and employ expensive simulations to solve them.

Design and Analysis of Simulation Experiments

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Publisher : Springer
ISBN 13 : 3319180878
Total Pages : 334 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Design and Analysis of Simulation Experiments by : Jack P.C. Kleijnen

Download or read book Design and Analysis of Simulation Experiments written by Jack P.C. Kleijnen and published by Springer. This book was released on 2015-07-01 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a new edition of Kleijnen’s advanced expository book on statistical methods for the Design and Analysis of Simulation Experiments (DASE). Altogether, this new edition has approximately 50% new material not in the original book. More specifically, the author has made significant changes to the book’s organization, including placing the chapter on Screening Designs immediately after the chapters on Classic Designs, and reversing the order of the chapters on Simulation Optimization and Kriging Metamodels. The latter two chapters reflect how active the research has been in these areas. The validation section has been moved into the chapter on Classic Assumptions versus Simulation Practice, and the chapter on Screening now has a section on selecting the number of replications in sequential bifurcation through Wald’s sequential probability ration test, as well as a section on sequential bifurcation for multiple types of simulation responses. Whereas all references in the original edition were placed at the end of the book, in this edition references are placed at the end of each chapter. From Reviews of the First Edition: “Jack Kleijnen has once again produced a cutting-edge approach to the design and analysis of simulation experiments.” (William E. BILES, JASA, June 2009, Vol. 104, No. 486)

Informed Form Generation

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Publisher : BoD – Books on Demand
ISBN 13 : 3737608989
Total Pages : 294 pages
Book Rating : 4.7/5 (376 download)

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Book Synopsis Informed Form Generation by : Moritz Rumpf

Download or read book Informed Form Generation written by Moritz Rumpf and published by BoD – Books on Demand. This book was released on 2021-01-01 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decades we witnessed a tremendous shift in the principles of architectural design based on the advancement of computer aided design and manufacturing. Computation in architecture came with a whole new set of techniques as well as theories that did change the way we build and design today. This research investigates ways to embed computational simulation and optimisation into architectural design processes at an early, conceptual stage. Simulation and optimization are not seen as a post-design strategy to improve performance aspects of a well-developed design, but rather as design strategies in their own rights. Therefore, design approaches employing simulation and optimization were developed, tested and discussed. Conditions and prerequisites for successfully embedding simulation and optimization into architectural design processes were formulated and benefits were derived. Design approaches that use digital simulation and optimization are characterised by not favouring rational form finding above intuitive form making, or vice versa – they rather support informed design decisions. Therefore, Informed Form Generation is established as a design approach within this thesis. It is not one specific, universally applicable process, but rather comprises a category of approaches and constitutes an attitude.

Research on Ship Design and Optimization Based on Simulation-Based Design (SBD) Technique

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Publisher : Springer
ISBN 13 : 9811084238
Total Pages : 239 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Research on Ship Design and Optimization Based on Simulation-Based Design (SBD) Technique by : Bao-Ji Zhang

Download or read book Research on Ship Design and Optimization Based on Simulation-Based Design (SBD) Technique written by Bao-Ji Zhang and published by Springer. This book was released on 2018-05-30 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ship optimization design is critical to the preliminary design of a ship. With the rapid development of computer technology, the simulation-based design (SBD) technique has been introduced into the field of ship design. Typical SBD consists of three parts: geometric reconstruction; CFD numerical simulation; and optimization. In the context of ship design, these are used to alter the shape of the ship, evaluate the objective function and to assess the hull form space respectively. As such, the SBD technique opens up new opportunities and paves the way for a new method for optimal ship design. This book discusses the problem of optimizing ship’s hulls, highlighting the key technologies of ship optimization design and presenting a series of hull-form optimization platforms. It includes several improved approaches and novel ideas with significant potential in this field

Uncertainty Management in Simulation-Optimization of Complex Systems

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Publisher : Springer
ISBN 13 : 1489975470
Total Pages : 282 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Uncertainty Management in Simulation-Optimization of Complex Systems by : Gabriella Dellino

Download or read book Uncertainty Management in Simulation-Optimization of Complex Systems written by Gabriella Dellino and published by Springer. This book was released on 2015-06-29 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimization issues have been addressed by different communities with different methods, and from slightly different perspectives. Alternative approaches have been developed, also depending on the application context, without any well-established method clearly outperforming the others. This editorial project brings together — as chapter contributors — researchers from different (though interrelated) areas; namely, statistical methods, experimental design, stochastic programming, global optimization, metamodeling, and design and analysis of computer simulation experiments. Editors’ goal is to take advantage of such a multidisciplinary environment, to offer to the readers a much deeper understanding of the commonalities and differences of the various approaches to simulation-based optimization, especially in uncertain environments. Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, also accounting for potential real-world applications to improve also the state-of-the-practice. Besides researchers and scientists of the field, the primary audience for the proposed book includes PhD students, academic teachers, as well as practitioners and professionals. Each of these categories of potential readers present adequate channels for marketing actions, e.g. scientific, academic or professional societies, internet-based communities, and authors or buyers of related publications.​

Simulation-driven Design Optimization And Modeling For Microwave Engineering

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Publisher : World Scientific
ISBN 13 : 1848169221
Total Pages : 526 pages
Book Rating : 4.8/5 (481 download)

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Book Synopsis Simulation-driven Design Optimization And Modeling For Microwave Engineering by : Qi-jun Zhang

Download or read book Simulation-driven Design Optimization And Modeling For Microwave Engineering written by Qi-jun Zhang and published by World Scientific. This book was released on 2013-03-14 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-driven optimization and design closure become increasingly important due to the complexity of microwave structures and increasing demands for accuracy. In many situations, theoretical models of microwave structures can only be used to yield the initial designs that need to be further fine-tuned to meet given performance requirements. In addition, EM-based design is a must for a growing number of microwave devices such as ultra-wideband (UWB) antennas, dielectric resonator antennas and substrate-integrated circuits. For circuits like these, no design-ready theoretical models are available, so design improvement can only be obtained through geometry adjustments based on repetitive, time-consuming simulations. On the other hand, various interactions between microwave devices and their environment, such as feeding structures and housing, must be taken into account, and this is only possible through full-wave EM analysis.Electromagnetic simulations can be highly accurate, but they tend to be computationally expensive. Therefore, practical design optimization methods have to be computationally efficient, so that the number of CPU-intensive high-fidelity EM simulations is reduced as much as possible during the design process. For the same reasons, techniques for creating fast yet accurate models of microwave structures become crucially important.In this edited book, the authors strive to review the state-of-the-art simulation-driven microwave design optimization and modeling. A group of international experts specialized in various aspects of microwave computer-aided design summarize and review a wide range of the latest developments and real-world applications. Topics include conventional and surrogate-based design optimization techniques, methods exploiting adjoint sensitivity, simulation-based tuning, space mapping, and several modeling methodologies, such as artificial neural networks and kriging. Applications and case studies include microwave filters, antennas, substrate integrated structures and various active components and circuits. The book also contains a few introductory chapters highlighting the fundamentals of optimization and modeling, gradient-based and derivative-free algorithms, metaheuristics, and surrogate-based optimization techniques, as well as finite difference and finite element methods./a

Simulation Optimization in Large Continuous Design Spaces

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Publisher :
ISBN 13 :
Total Pages : 342 pages
Book Rating : 4.:/5 (88 download)

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Book Synopsis Simulation Optimization in Large Continuous Design Spaces by : Grover J. LaPorte

Download or read book Simulation Optimization in Large Continuous Design Spaces written by Grover J. LaPorte and published by . This book was released on 2012 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Antenna Design by Simulation-Driven Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 3319043676
Total Pages : 145 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Antenna Design by Simulation-Driven Optimization by : Slawomir Koziel

Download or read book Antenna Design by Simulation-Driven Optimization written by Slawomir Koziel and published by Springer Science & Business Media. This book was released on 2014-02-12 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Brief reviews a number of techniques exploiting the surrogate-based optimization concept and variable-fidelity EM simulations for efficient optimization of antenna structures. The introduction of each method is illustrated with examples of antenna design. The authors demonstrate the ways in which practitioners can obtain an optimized antenna design at the computational cost corresponding to a few high-fidelity EM simulations of the antenna structure. There is also a discussion of the selection of antenna model fidelity and its influence on performance of the surrogate-based design process. This volume is suitable for electrical engineers in academia as well as industry, antenna designers and engineers dealing with computationally-expensive design problems.

Principles of Optimal Design

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Publisher : Cambridge University Press
ISBN 13 : 1316867455
Total Pages : 775 pages
Book Rating : 4.3/5 (168 download)

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Book Synopsis Principles of Optimal Design by : Panos Y. Papalambros

Download or read book Principles of Optimal Design written by Panos Y. Papalambros and published by Cambridge University Press. This book was released on 2017-01-09 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design optimization is a standard concept in engineering design, and in other disciplines which utilize mathematical decision-making methods. This textbook focuses on the close relationship between a design problem's mathematical model and the solution-driven methods which optimize it. Along with extensive material on modeling problems, this book also features useful techniques for checking whether a model is suitable for computational treatment. Throughout, key concepts are discussed in the context of why and when a particular algorithm may be successful, and a large number of examples demonstrate the theory or method right after it is presented. This book also contains step-by-step instructions for executing a design optimization project - from building the problem statement to interpreting the computer results. All chapters contain exercises from which instructors can easily build quizzes, and a chapter on 'principles and practice' offers the reader tips and guidance based on the authors' vast research and instruction experience.

Simulation-based Optimization of Energy Efficiency in Production

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Publisher : Springer Nature
ISBN 13 : 3658329718
Total Pages : 221 pages
Book Rating : 4.6/5 (583 download)

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Book Synopsis Simulation-based Optimization of Energy Efficiency in Production by : Anna Carina Römer

Download or read book Simulation-based Optimization of Energy Efficiency in Production written by Anna Carina Römer and published by Springer Nature. This book was released on 2021-02-11 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of the energy and commodity markets has steadily increased since the first oil crisis. The sustained use of energy and other resources has become a basic requirement for a company to competitively perform on the market. The modeling, analysis and assessment of dynamic production processes is often performed using simulation software. While existing approaches mainly focus on the consideration of resource consumption variables based on metrologically collected data on operating states, the aim of this work is to depict the energy consumption of production plants through the utilization of a continuous simulation approach in combination with a discrete approach for the modeling of material flows and supporting logistic processes. The complex interactions between the material flow and the energy usage in production can thus be simulated closer to reality, especially the depiction of energy consumption peaks becomes possible. An essential step towards reducing energy consumption in production is the optimization of the energy use of non-value-adding production phases.