Modelling Photovoltaic Systems Using PSpice

Luis Castaner, "Modelling Photovoltaic Systems Using PSpice" 
ISBN: 0470845279 | edition 2003 | PDF | 371 pages | 15 mb

Photovoltaics, the direct conversion of light from the sun into electricity, is an increasingly important means of distributed power generation. The SPICE modelling tool is typically used in the development of electrical and electronic circuits. When applied to the modelling of PV systems it provides a means of understanding and evaluating the performance of solar cells and systems.

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Simulation of Dynamic Systems with MATLAB and Simulink

Harold Klee, Randal Allen, "Simulation of Dynamic Systems with MATLAB and Simulink, Second Edition" 
2011 | ISBN: 1439836736 | PDF | 815 pages | 22,7 MB

Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems, and a massive transformation has occurred in the application of simulation in fields ranging from engineering and physical sciences to medicine, biology, economics, and applied mathematics. As with most things, simulation is best learned through practice—but explosive growth in the field requires a new learning approach. 

A response to changes in the field, Simulation of Dynamic Systems with MATLAB® and Simulink®, Second Edition has been extensively updated to help readers build an in-depth and intuitive understanding of basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena. 

Includes an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts 

Accomplished experts Harold Klee and Randal Allen take readers through a gradual and natural progression of important topics in simulation, introducing advanced concepts only after they construct complete examples using fundamental methods. Presented exercises incorporate MATLAB® and Simulink®—including access to downloadable M-files and model files—enabling both students and professionals to gain experience with these industry-standard tools and more easily design, implement, and adjust simulation models in their particular field of study.

More universities are offering courses—as well as masters and Ph.D programs—in both continuous-time and discrete-time simulation, promoting a new interdisciplinary focus that appeals to undergraduates and beginning graduates from a wide range of fields. Ideal for such courses, this classroom-tested introductory text presents a flexible, multifaceted approach through which simulation can play a prominent role in validating system design and training personnel involved.

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Modeling and Simulation in Engineering

"Modeling and Simulation in Engineering" ed. by Catalin Alexandru
InTeO | 2012 | ISBN: 535100126 9789535100126 | 309 pages | PDF | 34 MB

This book provides an open platform from which to establish and share knowledge developed by scholars, scientists, and engineers from all over the world, about various applications of computer aided modeling and simulation in the design process of products in various engineering fields. 

The book consists of 12 chapters arranged in an order reflecting the multidimensionality of applications related to modeling and simulation. The chapters are in two sections: 3D Modeling (seven chapters), and Virtual Prototyping (five chapters). 

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Process Plant Simulation By B.V. BABU

Publisher: Oxford University Press, USA

Number Of Pages: 556

Publication Date: 2004-07-01

ISBN-10 / ASIN: 0195668057

ISBN-13 / EAN: 9780195668056


This volume brings together all related topics for a course on Process Plant Simulation that is offered for undergraduates both in India and abroad. It would also be useful for students pursuing courses like optimisation techniques, mathematical methods in chemical engineering and CAD.

This book adopts a generalized approach to modelling various engineering systems in such a way that the underlying principles can be applied to any new system. There is exhaustive coverage of all topics related to plant simulation; it covers process modelling, analysis, simulation, as well as optimization. A section is devoted to non-traditional optimization techniques, which would be useful not only for students, but also for researchers, professionals, consultants, and industrialists. Babu discusses case studies on specific-purpose simulation and dynamic simulation, and also includes an overview of professional software packages used in plant simulation like HYSIS.
 

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Multiphase reacting flows: modelling and simulation

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Process Systems Enterprise gPROMS v3.31

Process Systems Enterprise gPROMS v3.31 | 130 MB

gPROMS is the leading Advanced Process Modelling environment for the process industries. It can be applied across many application areas in all process sectors. gPROMS's process modelling, process simulation and optimisation capabilities are used to generate high-accuracy predictive information for decision support in product and process innovation, design and operation. It is applied by major process and technology organisations throughout the world, as well as for research and teaching at 200 academic institutions worldwide. gPROMS has many major advantages over other modelling systems on the market, resulting from its modelling power and the sophistication of the models it is possible to create.

gPROMS is an equation-oriented modelling system used for building, validating and executing first-principles models within a flowsheeting framework.

Models are constructed in the gPROMS ModelBuilder by writing down the fundamental chemistry, physics, chemical engineering, operating procedures and other relationships that govern the process or product behaviour.

The resulting model is then validated against observed data — typically, laboratory, pilot plant or operating data — to adjust model parameters such as heat transfer coefficients to match reality as closely as possible.

Of course, it is not necessary to create a model from scratch every time – you can use one of the many state-of-the-art gPROMS model libraries, or create your own library for publishing throughout your organisation.

Solution accuracy – for multiple applications

The first-principles approach combined with rigorous validation results in models of unprecedented accuracy.

Once a model exists, it can be solved in many different ways to perform many different activities – for example, steady-state simulation, dynamic simulation, parameter estimation, model-based experiment design, steady-state and dynamic optimisation, including integer optimisation, or generation of linearised models for use in control and online optimisation, across the process lifecycle.

This means that once you have invested in creating an accurate gPROMS model of your process you can use that model wherever it can generate value, to ensure multiple return on investment.

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Fluid Dynamics: Theory, Computation, and Numerical Simulation

Fluid Dynamics: Theory, Computation, and Numerical Simulation
Springer | May 26, 2009 | English | ISBN: 038795869X | PDF | 774 pages | 9,6 MB

his is the only available book that extends the classical field of fluid dynamics into the realm of scientific computing in a way that is both comprehensive and accessible to the beginner.
There are several additions and subject expansions in the Second Edition of Fluid Dynamics, including new Matlab and FORTRAN codes. Solution procedures and algorithms are developed immediately after problem formulations are presented, and numerical methods are introduced on a need-to-know basis and in increasing order of difficulty. Matlab codes are presented and discussed for a broad range of topics; from interfacial shapes in hydrostatics, to vortex dynamics, to Stokes flow, to turbulent flow.

A must for practitioners and students in all fields of engineering, computational physics, scientific computing, and applied mathematics, this book can be used as a text in undergraduate and graduate courses in fluid mechanics, aerodynamics, and computational fluid dynamics.

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Conservation Equations And Modeling Of Chemical And Biochemical Processes

Author(s):Said S.E.H. Elnashaie, Parag Garhyan

Publisher:CRC Press

Format: PDF Language:English ISBN 10: 0824709578

Pages: 636 OCR:Quality: ISBN 13: 9780824709570

Presenting strategies in control policies, this text uses a systems theory approach to predict, simulate and streamline plant operation, conserve fuel and resources, and increase workplace safety in the manufacturing, chemical, petrochemical, petroleum, biochemical and energy industries. Topics of discussion include system theory and chemical/biochemical engineering systems, steady state, unsteady state, and thermodynamic equilibrium, modeling of systems, fundamental laws governing the processes in terms of the state variables, different classifications of physical models, the story of chemical engineering in relation to system theory and mathematical modeling, overall heat balance with single and multiple chemical reactions and single and multiple reactions.

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Process Modeling, Simulation, and Control for Chemical Engineers

Author : William L. Luyben Year : 2006

In the area of process control, new methods of analysis and synthesis of control systems have been developed and need to be added to the process control engineer’s bag of practical methods. The driving force for much of this development was the drastic increase in energy costs in the 1970s. This led to major redesigns of many new and old processes, using energy integration and more complex processing schemes. The resulting plants are more interconnected. This increases control loop interactions and expands the dimension of control problems. There are many important processes in which three, four, or even more control loops interact.

As a result, there has been a lot of research activity in multivariable control, both in academia and in industry. Some practical, useful tools have been developed to design control systems for these multivariable processes. The second edition includes a fairly comprehensive discussion of what I feel are the useful techniques for controlling multivariable processes.

Another significant change over the last decade has been the dramatic increase in the computational power readily available to engineers. Most calculations can be performed on personal computers that have computational horsepower equal to that provided only by mainframes a few years ago. This means that engineers can now routinely use more rigorous methods of analysis and synthesis. The second edition includes more computer programs. All are suitable for execution on a personal computer.

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Modeling and Simulation of Systems Using MATLAB and Simulink

CRC Press (12-2009) | PDF | 733 pages | 1439806721 | 14.9Mb

Modeling and Simulation of Systems Using MATLAB and Simulink /by Devendra K. Chaturvedi. Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions.

Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented.
After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling.

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Modeling and Simulation in Polymers

Modeling and Simulation in Polymers
2010 | 564 pages | ISBN:3527324151 | PDF | 8 Mb

Filling a gap in the literature and all set to become the standard in this field, this monograph begins with a look at computational viscoelastic fluid mechanics and studies of turbulent flows of dilute polymer solutions. It then goes on discuss simulations of nanocomposites, polymerization kinetics, computational approaches for polymers and modeling polyelectrolytes. Further sections deal with tire optimization, irreversible phenomena in polymers, the hydrodynamics of artificial and bacterial flagella as well as modeling and simulation in liquid crystals.

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Chemical Engineering Modelling, Simulation and Similitude

A description of the use of computer aided modeling and simulation in the development, integration and optimization of industrial processes. The two authors elucidate the entire procedure step-by-step, from basic mathematical modeling to result interpretation and full-scale process performance analysis. They further demonstrate similitude comparisons of experimental results from different systems as a tool for broadening the applicability of the calculation methods.

Throughout, the book adopts a very practical approach, addressing actual problems and projects likely to be encountered by the reader, as well as fundamentals and solution strategies for complex problems. It is thus equally useful for student and professional engineers and chemists involved in industrial process and production plant design, construction or upgrading.

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Engineering Complex Systems

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