Topic
Modeling and simulation
About: Modeling and simulation is a research topic. Over the lifetime, 10273 publications have been published within this topic receiving 111550 citations.
Papers published on a yearly basis
Papers
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TL;DR: Computer simulation techniques for extreme nonlinear optics are reviewed with emphasis on the high light-intensity regimes in which both bound and freed electronic states contribute to the medium response and thus affect the optical pulse dynamics.
Abstract: Computer simulation techniques for extreme nonlinear optics are reviewed with emphasis on the high light-intensity regimes in which both bound and freed electronic states contribute to the medium response and thus affect the optical pulse dynamics. The first part concentrates on the optical pulse propagation modeling, and provides a classification of various approaches to optical-field evolution equations. Light–matter interaction models are reviewed in the second part, which concentrates on methods that can be integrated with time- and space-resolved simulations encompassing realistic experimental scenarios.
64 citations
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TL;DR: In this paper, a simulation-based training platform for educating students and power systems professionals in complex Smart Grid applications is presented, where the system is split into parts like electrical grid or controls and specialized, domain-specific tools are coupled to be able to simulate the overall behavior.
Abstract: Power systems training and education faces serious challenges due to the rising complexity of energy systems. This paper presents a simulation-based training platform for educating students and power systems professionals in complex Smart Grid applications. The system is split into parts like electrical grid or controls and specialized, domain-specific tools are then coupled to be able to simulate the overall behavior. Experiences with the developed education and training material and the corresponding modeling and simulation environment are discussed. The usage of advanced modeling and simulation approaches, especially when providing new functionality via coupling of simulation, is an accessible way to train and educate students efficiently in the complex and interdisciplinary area of power systems.
64 citations
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TL;DR: In this article, the authors explored the structure and components of an HIL in the loop laboratory for different systems and evaluated the applications of HIL simulations in dynamics and control engineering.
Abstract: Nowadays due to the technology development and use of digital computers in various systems, need for development of high performance and robust software is attracting great attentions. Because of increasing complexity in algorithms and implementation hardware for embedded systems, proper simulation tools are required. In sophisticated systems design, hardware in the loop (HIL) simulation is known as a prominent simulation tool before realistic tests of the system and a step after software simulation. Simultaneously it can be used for verification and validation of automation and control software. HIL has had an historical background in aerospace industries. Recently, this tool has spread in different steps of system life cycle such as design, development, implementation and test of various applications including automobile industry, shipbuilding, power lines, robotic systems and etc. Utilizing a suitable hardware in the loop laboratory, in system design stages is a practical way to increase the system reliability and efficiency as well as value of product. Also, by proper investigation in this modelling and simulation method, many errors can be avoided in design procedure of software and hardware as well as their interconnections. In this study, structure and components of an hardware in the loop laboratory for different systems are explored, also it is tried to more evaluate the applications of HIL simulations in dynamics and control engineering. At last, general structure of an hardware in the loop lab for diverse industries is proposed and discussed.
64 citations
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TL;DR: In this paper, a thorough literature review is performed to investigate and compare the results and accuracy of different mathematical models, numerical methods and thermodynamic analysis of using different phase change materials in different solar systems.
Abstract: Phase Change Materials (PCM) have been widely used in different applications. PCM is recognized as one of the most promising materials to store solar thermal energy in the form of latent heat. Utilization of PCMs for solar energy storage compensates for the intermittent characteristic of this energy source. Mathematical modeling and numerical simulation of solar energy storage systems provide useful information for researchers to design and perform experiments with a considerable saving in time and investment. This paper is focused on modeling and simulation of PCM based systems that are used in different solar energy storage applications. A thorough literature review is performed to investigate and compare the results and accuracy of different mathematical models, numerical methods and thermodynamic analysis of using different PCMs in different solar systems. Moreover, the potential research areas in numerical simulations and thermodynamic analysis of solar systems based on PCMs are determined considering the existing gaps in the literature. Although the main idea of using PCMs is storing thermal energy for different applications, PCMs can be used for other purposes such as cooling photovoltaic panels. Past studies have shown that utilization of PCMs in photovoltaic panels can improve the performance of panels by decreasing the average panel temperature by 9.7%. The results of simulations also showed that for each climate a specific PCM with a melting temperature should be used to reach the most uniform temperature distribution.
63 citations
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24 Jun 199163 citations