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Stochastic Modelling in Process Technology

加工技术随机性模型

Elsevier Science_RM Dehling, Herold G Gottschalk, Timo Hoffmann, Alex C

ISBN：9780444520265，出版年：2007，中图分类号：TB

There is an ever increasing need for modelling complex processes reliably. Computational modelling techniques, such as CFD and MD may be used as tools to study specific systems, but their emergence has not decreased the need for generic, analytical process models. Multiphase and multicomponent systems, and high-intensity processes displaying a highly complex behaviour are becoming omnipresent in the processing industry. This book discusses an elegant, but little-known technique for formulating process models in process technology: stochastic process modelling. The technique is based on computing the probability distribution for a single particle's position in the process vessel, and/or the particle's properties, as a function of time, rather than - as is traditionally done - basing the model on the formulation and solution of differential conservation equations. Using this technique can greatly simplify the formulation of a model, and even make modelling possible for processes so complex that the traditional method is impracticable. Stochastic modelling has sporadically been used in various branches of process technology under various names and guises. This book gives, as the first, an overview of this work, and shows how these techniques are similar in nature, and make use of the same basic mathematical tools and techniques. The book also demonstrates how stochastic modelling may be implemented by describing example cases, and shows how a stochastic model may be formulated for a case, which cannot be described by formulating and solving differential balance equations.Introduction to stochastic process modelling as an alternative modelling techniqueShows how stochastic modelling may be succesful where the traditional technique failsOverview of stochastic modelling in process technology in the research literatureIllustration of the principle by a wide range of practical examplesIn-depth and self-contained discussionsPoints the way to both mathematical and technological research in a new, rewarding field

Stochastic process Stochastic modelling Processor model Technology acceptance model Prognostic models Process engineering Statistical model Model of computation Engineering design process Immersive projection technology

Numerical Modelling of Wave Energy Converters -- State-of-the-Art Techniques for Single Devices and Arrays

数值模拟波浪能量转换器：针对单一WEC先进的技术和转换器阵列

Academic Press_RM

ISBN：9780128032107，出版年：2016，中图分类号：TK

Numerical Modelling of Wave Energy Converters: State-of-the Art Techniques for Single WEC and Converter Arrays presents all the information and techniques required for the numerical modelling of a wave energy converter together with a comparative review of the different available techniques. The authors provide clear details on the subject and guidance on its use for WEC design, covering topics such as boundary element methods, frequency domain models, spectral domain models, time domain models, non linear potential flow models, CFD models, semi analytical models, phase resolving wave propagation models, phase averaging wave propagation models, parametric design and control optimization, mean annual energy yield, hydrodynamic loads assessment, and environmental impact assessment. Each chapter starts by defining the fundamental principles underlying the numerical modelling technique and finishes with a discussion of the technique limitations and a summary of the main points in the chapter. The contents of the chapters are not limited to a description of the mathematics, but also include details and discussion of the current available tools, examples available in the literature, and verification, validation, and computational requirements. In this way, the key points of each modelling technique can be identified without having to get deeply involved in the mathematical representation that is at the core of each chapter. The book is separated into four parts. The first two parts deal with modelling single wave energy converters; the third part considers the modelling of arrays; and the final part looks at the application of the different modelling techniques to the four most common uses of numerical models. It is ideal for graduate engineers and scientists interested in numerical modelling of wave energy converters, and decision-makers who must review different modelling techniques and assess their suitability and output.Consolidates in one volume information and techniques for the numerical modelling of wave energy converters and converter arrays, which has, up until now, been spread around multiple academic journals and conference proceedings making it difficult to accessPresents a comparative review of the different numerical modelling techniques applied to wave energy converters, discussing their limitations, current available tools, examples, and verification, validation, and computational requirementsIncludes practical examples and simulations available for download at the book companion websiteIdentifies key points of each modelling technique without getting deeply involved in the mathematical representation

National Information Exchange Model Single-index model Ocean thermal energy conversion Energy modeling Energy Multiplier Module National Appliance Energy Conservation Act Pseudorandom number generator Technology acceptance model Wind energy conversion Photovoltaic energy conversion