Computer and Information Science » Numerical Analysis and Scientific Computing

Modelling, Simulation and Optimization

Edited by Gregorio Romero Rey and Luisa Martinez Muneta, ISBN 978-953-307-048-3, 720 pages, Publisher: InTech, Chapters published February 01, 2010 under CC BY-NC-SA 3.0 license
Edited Volume

Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the behaviour of components and facilities. The high competitiveness in industry, the little time available for product development and the high cost in terms of time and money of producing the initial prototypes means that the computer-aided design and analysis of products are taking on major importance. On the other hand, in most areas of engineering the components of a system are interconnected and belong to different domains of physics (mechanics, electrics, hydraulics, thermal...). When developing a complete multidisciplinary system, it needs to integrate a design procedure to ensure that it will be successfully achieved. Engineering systems require an analysis of their dynamic behaviour (evolution over time or path of their different variables). The purpose of modelling and simulating dynamic systems is to generate a set of algebraic and differential equations or a mathematical model. In order to perform rapid product optimisation iterations, the models must be formulated and evaluated in the most efficient way. Automated environments contribute to this. One of the pioneers of simulation technology in medicine defines simulation as a technique, not a technology, that replaces real experiences with guided experiences reproducing important aspects of the real world in a fully interactive fashion [iii]. In the following chapters the reader will be introduced to the world of simulation in topics of current interest such as medicine, military purposes and their use in industry for diverse applications that range from the use of networks to combining thermal, chemical or electrical aspects, among others. We hope that after reading the different sections of this book we will have succeeded in bringing across what the scientific community is doing in the field of simulation and that it will be to your interest and liking. Lastly, we would like to thank all the authors for their excellent contributions in the different areas of simulation.

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Prof. Gregorio Romero

Universidad Politécnica de Madrid, Spain

Dr. Gregorio Romero Rey (Spain, 1974) received his Industrial Technical Engineering degree from the ICAI in 1996 and his Mechanical Engineering degree from the UNED in 2000. After the analysis of mathematical systems corresponding to multi-domain models, he was awarded his PhD Degree by the Universidad Politécnica de Madrid in 2005, the university in which he works as Associated Professor. Since 1997, he has worked mainly on simulation models and the virtual reality area, developing his research activity in the Research Group in Railway Technology and Advanced Simulation (CITEF) collaborating on European and National Projects, apart from works with private companies. He has been involved in different technical committees and has received two prizes associated with his research and education activity. At present he is the manager of an electrical simulator designed for a Spanish company and has published more than 70 technical papers in different international journals, books and conferences.

Education

  • 1997 - current

    ETS Industrial Engineering, Universidad Politécnica de Madrid, Madrid

    Mechanical Engineering and Manufacturing

  • 2000 – 2005

    ETS Industrial Engineering, Universidad Politécnica de Madrid, Madrid

    Mechanical Engineering and Manufacturing

Edited Books

  • Power Quality Harmonics Analysis and Real Measurements Data

    Nowadays, the increasing use of power electronics equipment origins important distortions. The perfect AC power systems are a pure sinusoidal wave, both voltage and current, but the ever-increasing existence of non-linear loads modify the characteristics of voltage and current from the ideal sinusoidal wave. This deviation from the ideal wave is reflected by the harmonics and, although its effects vary depending on the type of load, it affects the efficiency of an electrical system and can cause considerable damage to the systems and infrastructures. Ensuring optimal power quality after a good design and devices means productivity, efficiency, competitiveness and profitability. Nevertheless, nobody can assure the optimal power quality when there is a good design if the correct testing and working process from the obtained data is not properly assured at every instant; this entails processing the real data correctly. In this book the reader will be introduced to the harmonics analysis from the real measurement data and to the study of different industrial environments and electronic devices.

  • Electrical Generation and Distribution Systems and Power Quality Disturbances

    The utilization of renewable energy sources such as wind energy, or solar energy, among others, is currently of greater interest. Nevertheless, since their availability is arbitrary and unstable this can lead to frequency variation, to grid instability and to a total or partial loss of load power supply, being not appropriate sources to be directly connected to the main utility grid. Additionally, the presence of a static converter as output interface of the generating plants introduces voltage and current harmonics into the electrical system that negatively affect system power quality. By integrating distributed power generation systems closed to the loads in the electric grid, we can eliminate the need to transfer energy over long distances through the electric grid. In this book the reader will be introduced to different power generation and distribution systems with an analysis of some types of existing disturbances and a study of different industrial applications such as battery charges.

  • Modelling, Simulation and Optimization

    Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the behaviour of components and facilities. The high competitiveness in industry, the little time available for product development and the high cost in terms of time and money of producing the initial prototypes means that the computer-aided design and analysis of products are taking on major importance. On the other hand, in most areas of engineering the components of a system are interconnected and belong to different domains of physics (mechanics, electrics, hydraulics, thermal...). When developing a complete multidisciplinary system, it needs to integrate a design procedure to ensure that it will be successfully achieved. Engineering systems require an analysis of their dynamic behaviour (evolution over time or path of their different variables). The purpose of modelling and simulating dynamic systems is to generate a set of algebraic and differential equations or a mathematical model. In order to perform rapid product optimisation iterations, the models must be formulated and evaluated in the most efficient way. Automated environments contribute to this. One of the pioneers of simulation technology in medicine defines simulation as a technique, not a technology, that replaces real experiences with guided experiences reproducing important aspects of the real world in a fully interactive fashion [iii]. In the following chapters the reader will be introduced to the world of simulation in topics of current interest such as medicine, military purposes and their use in industry for diverse applications that range from the use of networks to combining thermal, chemical or electrical aspects, among others. We hope that after reading the different sections of this book we will have succeeded in bringing across what the scientific community is doing in the field of simulation and that it will be to your interest and liking. Lastly, we would like to thank all the authors for their excellent contributions in the different areas of simulation.

INTECHOPEN PUBLICATIONS

Prof. Luisa Martinez

Universidad Politécnica de Madrid, Spain

Dr. Luisa Martinez Muneta received her Mechanical Engineer degree from the Universidad Politécnica de Madrid (UPM) in 1990. She got her PhD Degree in 1997 working on variational geometry. Since 1990 she started to work as Associate Professor at UPM. She usually works in the field of computer graphics, simulation and virtual reality, developing her research activity in the Research Group in Railway Technology and Advanced Simulation (CITEF) from 1997. During this time she has been involved in different industrial projects and pilot activities promoted by the European Commission and other Spanish institutions, and has received some prizes associated with her activity. She has published 4 books and over 60 technical papers.