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.
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01 Dec 1999
TL;DR: The most common pitfalls in performing simulation studies are explored and approaches for avoiding these problems are identified.
Abstract: Succeeding with a technology as powerful as simulation involves much more than the technical aspects you may have been trained in. The parts of a simulation study that are outside the realm of modeling and analysis can make or break the project. This paper explores the most common pitfalls in performing simulation studies and identifies approaches for avoiding these problems.
51 citations
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TL;DR: In this paper, the authors developed a one-dimensional mathematical model for direct internal reforming solid oxide fuel cell (DIR-SOFC) using the volume-resistance (V-R) characteristic modeling technique.
51 citations
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TL;DR: A component-based modeling and simulation framework that supports both modeling styles and takes a hierarchical approach to manage heterogeneity in modeling complex systems is presented.
Abstract: Systems with both continuous and discrete behaviors can be modeled using a mixed-signal style or a hybrid systems style. This article presents a component-based modeling and simulation framework that supports both modeling styles. The component framework, based on an actor metamodel, takes a hierarchical approach to manage heterogeneity in modeling complex systems. We describe how ordinary differential equations, discrete event systems, and finite-state machines can be built under this metamodel. A mixed-signal system is a hierarchical composition of continuous-time and discrete event models, and a hybrid system is a hierarchical composition of continuous-time and finite-state-machine models. Hierarchical composition and information hiding help build clean models and efficient execution engines. Simulation technologies, in particular, the interaction between a continuous-time ODE solving engine and various discrete simulation engines are discussed. A signal type system is introduced to schedule hybrid components inside a continuous-time environment. Breakpoints are used to control the numerical integration step sizes so that discrete events are handled properly. A "refiring" mechanism and a "rollback" mechanism are designed to manage continuous components inside a discrete event environment. The technologies are implemented in the Ptolemy II software environment. Examples are given to show the applications of this framework in mixed-signal and hybrid systems.
51 citations
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TL;DR: In this paper, an advanced EMT and phasor-domain hybrid simulation approach was proposed to improve the simulation efficiency of transmission system level studies, and the proposed method has been tested on integrated transmission and distribution systems.
Abstract: Conventional electromagnetic transient (EMT) and phasor-domain hybrid simulation approaches presently exist for transmission system level studies. Their simulation efficiency is generally constrained by the EMT simulation. With an increasing number of distributed energy resources and nonconventional loads being installed in distribution systems, it is imperative to extend the hybrid simulation application to include distribution systems and integrated transmission and distribution systems. Meanwhile, it is equally important to improve the simulation efficiency as the modeling scope and complexity of the detailed system in the EMT simulation increases. To meet both requirements, this paper introduces an advanced EMT and phasor-domain hybrid simulation approach. This approach has two main features: first, a comprehensive phasor-domain modeling and simulation framework which supports positive-sequence, three-sequence, three-phase, and mixed three-sequence/three-phase representations and second, a robust and flexible simulation mode switching scheme. The developed scheme enables simulation switching from hybrid simulation mode back to pure phasor-domain dynamic simulation mode to achieve significantly improved simulation efficiency. The proposed method has been tested on integrated transmission and distribution systems. The results show that with the developed simulation switching feature, the total computational time is significantly reduced compared to running the hybrid simulation for the whole simulation period while maintaining good simulation accuracy.
51 citations
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01 Jan 2006
TL;DR: This book discusses modeling and Simulation Based Approaches for Investigating Allosteric Regulation in Enzymes, and the connection between Synthetic and Natural RNAs in Genomes, and learns to Align Sequences.
Abstract: Macromolecular Models: From Theories to Effective Algorithms.- Membrane Protein Simulations: Modelling a Complex Environment.- Modeling and Simulation Based Approaches for Investigating Allosteric Regulation in Enzymes.- Exploring the Connection Between Synthetic and Natural RNAs in Genomes: A Novel Computational Approach.- Learning to Align Sequences: A Maximum-Margin Approach.- Minimization of Complex Molecular Landscapes.- Overcoming Energetic and Time Scale Barriers Using the Potential Energy Surface.- The Protein Folding Problem.- Dynamical and Stochastic-Dynamical Foundations for Macromolecular Modelling.- Biomolecular Sampling: Algorithms, Test Molecules, and Metrics.- Approach to Thermal Equilibrium in Biomolecular Simulation.- The Targeted Shadowing Hybrid Monte Carlo (TSHMC) Method.- The Langevin Equation for Generalized Coordinates.- Metastability and Dominant Eigenvalues of Transfer Operators.- Computation of the Free Energy.- Free Energy Calculations in Biological Systems. How Useful Are They in Practice?.- Numerical Methods for Calculating the Potential of Mean Force.- Replica-Exchange-Based Free-Energy Methods.- Fast Electrostatics and Enhanced Solvation Models.- Implicit Solvent Electrostatics in Biomolecular Simulation.- New Distributed Multipole Metdhods for Accurate Electrostatics in Large-Scale Biomolecular Simulations.- Quantum-Chemical Models for Macromolecular Simulation.- Towards Fast and Reliable Quantum Chemical Modelling of Macromolecules.- Quantum Chemistry Simulations of Glycopeptide Antibiotics.- Panel Discussion.
51 citations