Mathematical Modelling of Energy Systems and Fluid Machinery

Mathematical Modelling of Energy Systems and Fluid Machinery PDF

Author: Mirko Morini

Publisher: MDPI

Published: 2021-06-04

Total Pages: 256

ISBN-13: 3036505504

DOWNLOAD EBOOK →

The ongoing digitalization of the energy sector, which will make a large amount of data available, should not be viewed as a passive ICT application for energy technology or a threat to thermodynamics and fluid dynamics, in the light of the competition triggered by data mining and machine learning techniques. These new technologies must be posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant and its importance cannot be underestimated. The aim of this Special Issue was to collect contributions about mathematical modelling of energy systems and fluid machinery in order to build and consolidate the base of this knowledge.

Mathematical Modelling of Energy Systems and Fluid Machinery

Mathematical Modelling of Energy Systems and Fluid Machinery PDF

Author: Mirko Morini

Publisher:

Published: 2021

Total Pages: 256

ISBN-13: 9783036505510

DOWNLOAD EBOOK →

The ongoing digitalization of the energy sector, which will make a large amount of data available, should not be viewed as a passive ICT application for energy technology or a threat to thermodynamics and fluid dynamics, in the light of the competition triggered by data mining and machine learning techniques. These new technologies must be posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant and its importance cannot be underestimated. The aim of this Special Issue was to collect contributions about mathematical modelling of energy systems and fluid machinery in order to build and consolidate the base of this knowledge.

Mathematical Modelling of Energy Systems and Fluid Machinery 2022

Mathematical Modelling of Energy Systems and Fluid Machinery 2022 PDF

Author: Michele Pinelli

Publisher: Mdpi AG

Published: 2023-08

Total Pages: 0

ISBN-13: 9783036583594

DOWNLOAD EBOOK →

The digitalization of the energy sector is of paramount importance and, at the same time, an ever-increasing phenomenon. For example, it is worth noting how IoT technologies and the widespread utilization of digital twins are changing the way in which energy systems and fluid machinery are conceived and designed. However, this can only be achieved if these new ICT technologies are posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant, and its importance cannot be underestimated. This Special Issue, which follows a previous one on the same topic, is intended for a collection of contributions about the mathematical modelling of energy systems and fluid machinery in order to build and consolidate this base of knowledge.

Leading-edge Applied Mathematical Modeling Research

Leading-edge Applied Mathematical Modeling Research PDF

Author: Matías P. Álvarez

Publisher: Nova Publishers

Published: 2008

Total Pages: 404

ISBN-13: 9781600219771

DOWNLOAD EBOOK →

This book covers new and significant research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. It includes heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimisation; finite volume, finite element, and boundary element procedures; decision sciences in an industrial and manufacturing context; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.

Applied Mathematical Modeling

Applied Mathematical Modeling PDF

Author: Eetu N. Virtanen

Publisher: Nova Publishers

Published: 2008

Total Pages: 366

ISBN-13: 9781600219757

DOWNLOAD EBOOK →

This new book focuses on important research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. It includes heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimisation; finite volume, finite element, and boundary element procedures; decision sciences in an industrial and manufacturing context; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.

Mathematical Modeling in Science and Engineering

Mathematical Modeling in Science and Engineering PDF

Author: Ismael Herrera

Publisher: John Wiley & Sons

Published: 2012-03-19

Total Pages: 259

ISBN-13: 1118207203

DOWNLOAD EBOOK →

A powerful, unified approach to mathematical and computational modeling in science and engineering Mathematical and computational modeling makes it possible to predict the behavior of a broad range of systems across a broad range of disciplines. This text guides students and professionals through the axiomatic approach, a powerful method that will enable them to easily master the principle types of mathematical and computational models used in engineering and science. Readers will discover that this axiomatic approach not only enables them to systematically construct effective models, it also enables them to apply these models to any macroscopic physical system. Mathematical Modeling in Science and Engineering focuses on models in which the processes to be modeled are expressed as systems of partial differential equations. It begins with an introductory discussion of the axiomatic formulation of basic models, setting the foundation for further topics such as: Mechanics of classical and non-classical continuous systems Solute transport by a free fluid Flow of a fluid in a porous medium Multiphase systems Enhanced oil recovery Fluid mechanics Throughout the text, diagrams are provided to help readers visualize and better understand complex mathematical concepts. A set of exercises at the end of each chapter enables readers to put their new modeling skills into practice. There is also a bibliography in each chapter to facilitate further investigation of individual topics. Mathematical Modeling in Science and Engineering is ideal for both students and professionals across the many disciplines of science and engineering that depend on mathematical and computational modeling to predict and understand complex systems.

Progress in Applied Mathematical Modeling

Progress in Applied Mathematical Modeling PDF

Author: Fengshan Yang

Publisher: Nova Publishers

Published: 2008

Total Pages: 386

ISBN-13: 9781600219764

DOWNLOAD EBOOK →

This book presents new research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. It includes heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimisation; finite volume, finite element, and boundary element procedures; decision sciences in an industrial and manufacturing context; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.

Mathematical Models for the Design of Electrical Machines

Mathematical Models for the Design of Electrical Machines PDF

Author: Frédéric Dubas

Publisher: MDPI

Published: 2021-03-15

Total Pages: 252

ISBN-13: 3036503986

DOWNLOAD EBOOK →

This book is a comprehensive set of articles reflecting the latest advances and developments in mathematical modeling and the design of electrical machines for different applications. The main models discussed are based on the: i) Maxwell–Fourier method (i.e., the formal resolution of Maxwell’s equations by using the separation of variables method and the Fourier’s series in 2-D or 3-D with a quasi-Cartesian or polar coordinate system); ii) electrical, thermal and magnetic equivalent circuit; iii) hybrid model. In these different papers, the numerical method and the experimental tests have been used as comparisons or validations.

Mathematical Modelling in Science and Technology

Mathematical Modelling in Science and Technology PDF

Author: Xavier J.R. Avula

Publisher: Elsevier

Published: 2014-05-09

Total Pages: 1023

ISBN-13: 1483190595

DOWNLOAD EBOOK →

Mathematical Modelling in Science and Technology: The Fourth International Conference covers the proceedings of the Fourth International Conference by the same title, held at the Swiss Federal Institute of Technology, Zurich, Switzerland on August 15-17, 1983. Mathematical modeling is a powerful tool to solve many complex problems presented by scientific and technological developments. This book is organized into 20 parts encompassing 180 chapters. The first parts present the basic principles, methodology, systems theory, parameter estimation, system identification, and optimization of mathematical modeling. The succeeding parts discuss the features of stochastic and numerical modeling and simulation languages. Considerable parts deal with the application areas of mathematical modeling, such as in chemical engineering, solid and fluid mechanics, water resources, medicine, economics, transportation, and industry. The last parts tackle the application of mathematical modeling in student management and other academic cases. This book will prove useful to researchers in various science and technology fields.