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检索条件"任意字段=Conference on Simulation-Driven Modeling and Optimization"

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A Data-driven Model for Wind Plant Power optimization by Yaw Control

A Data-Driven Model for Wind Plant Power Optimization by Yaw...

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American Control conference

作者： Gebraad, P. M. O. Teeuwisse, F. W. van Wingerden, J. W. Fleming, P. A. Ruben, S. D. Marden, J. R. Pao, L. Y. Delft Univ Technol Delft Ctr Syst & Control NL-2600 AA Delft Netherlands

ISBN: (纸本)9781479932740

This paper presents a novel parametric model that will be used to optimize the yaw settings of wind turbines in a wind plant for improved electrical energy production of the whole wind plant. The model predicts the effective steady-state flow velocities at each turbine, as well as the resulting electrical energy productions, as a function of the axial induction and the yaw angle of the different rotors. The model has a limited number of parameters that are estimated based on data. Moreover, it is shown how this model can be used to optimize the yaw settings using a game-theoretic approach. In a case study we demonstrate that our novel parametric model fits the data generated by a high-fidelity computational fluid dynamics model of a small wind plant, and that the data-driven yaw optimization control has great potential to increase the wind plant's electrical energy production.

关键词： Computational modeling optimization Parametric statistics Rotors Wind speed Wind turbines modeling and simulation

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Value-driven Design and Sensitivity Analysis of Hybrid Energy Systems using Surrogate modeling 3

Value-Driven Design and Sensitivity Analysis of Hybrid Energ...

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3rd International conference on Renewable Energy Research and Application (ICRERA)

作者： Du, Wenbo Garcia, Humberto E. Binder, William R. Paredis, Christiaan J. J. Idaho Natl Lab Idaho Falls ID USA Georgia Inst Technol Atlanta GA 30332 USA

ISBN: (纸本)9781479937950

A surrogate modeling and analysis methodology is applied to study dynamic hybrid energy systems (HES). The effect of battery size on the smoothing of variability in renewable energy generation is investigated. Global sensitivity indices calculated using surrogate models show the relative sensitivity of system variability to dynamic properties of key components. A value maximization approach is used to consider the tradeoff between system variability and required battery size. Results are found to be highly sensitive to the renewable power profile considered, demonstrating the importance of accurate renewable resource modeling and prediction. The documented computational framework and preliminary results represent an important step towards a comprehensive methodology for HES evaluation, design, and optimization.

关键词： hybrid energy systems renewable energy value maximization surrogate modeling dynamic modeling and simulation sensitivity analysis

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POD-driven ADAPTIVE SAMPLING FOR EFFICIENT SURROGATE modeling AND ITS APPLICATION TO SUPERSONIC TURBINE optimization

POD-DRIVEN ADAPTIVE SAMPLING FOR EFFICIENT SURROGATE MODELIN...

引用

ASME Turbo Expo: Turbine Technical conference and Exposition

作者： Kato, Hiromasa Funazaki, Ken-ichi Iwate Univ Morioka Dept Mech Engn Morioka Iwate 0208551 Japan

ISBN: (纸本)9780791845615

A new approach for adaptively sampling a design parameter space using an error estimate through the reconstruction of flow field by a combination of proper orthogonal decomposition (POD) and radial basis function network (RBFN) is presented. It differs from other similar approaches in that it does not use the reconstructed flow field by POD for the evaluation of objective functions, and thus it can be a subset of the flow field. Advantages of this approach include the ease of constructing a chain of simulation codes as well as the flexibility of choosing where and what to reconstruct within the solution domain. An improvement in achieving a good prediction quality, with respect to other adaptive sampling methods, has been demonstrated using supersonic impulse turbine optimization as the test case. A posteriori validation of the surrogate models were also carried out using a set of separately-evaluated samples, which showed a similar trend as the Leave-One-Out (LOO) cross-validation. The progressively enriched surrogate model was then used to achieve the more uniformly populated Pareto front with fewer number of function evaluations.

关键词： modeling optimization Turbines

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INTEGRATED DESIGN optimization OF DIELECTRIC ELASTOMER ACTUATORS IN HIGH-PERFORMANCE SWITCHGEAR

INTEGRATED DESIGN OPTIMIZATION OF DIELECTRIC ELASTOMER ACTUA...

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7th Annual ASME conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS) / Symposium on modeling, simulation and Control (MSC)

作者： Price, Aaron D. Ask, Anna ABB Corp Res Ctr Germany Dept Automat Device Technol Mechatron & Actuators Grp D-68526 Ladenburg Germany ABB Corp Res Scandinavia Technol Consulting Dept Appl Mech & Acoust Grp S-72178 Vasteras Sweden

ISBN: (纸本)9780791846155

Although the performance of stacked dielectric elastomers has been demonstrated experimentally, improved simulation tools are required to accurately predict their dynamic performance in demanding applications in the power and automation industries. This investigation presents an integrated design optimization system that elucidates the relationship between various design variables and resulting electromechanical system performance in the context of a dielectric elastomer actuator driven electrical contactor. The system comprises several specially developed software modules that interact to automatically determine an optimal design. The core module consists of a user material subroutine that models electro-viscoelastic elastomers, the development of which is presented herein. This material behavior is then integrated within a coupled multi-body simulation implemented in the ABAQUS commercial finite element software. This module captures the mechanical dynamics of the switch gear for a given actuator design candidate. Finally, a fully-integrated multi-objective optimization workflow that automatically generates and evaluates design candidates is presented.

关键词： Elastomers

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AIAA modeling and simulation Technologies conference, 2014

AIAA Modeling and Simulation Technologies Conference, 2014

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AIAA modeling and simulation Technologies conference 2014

ISBN: (纸本)9781624102974

The proceedings contain 32 papers. The special focus in this conference is on modeling and simulation Technologies. The topics include: Frequency-domain method for automated simulation updates based on flight data;physics-based multi-fidelity surrogate modeling with entropy-based availability methods;the sea-based automated launch and recovery system virtual testbed;a framework for integration of ns-3 with RAMS simulator;model complexity reduction of a segmented mirror telescope;accelerating genetic algorithm profile fitting using a six-DOF enhanced with GPU coding;testability, test automation and test driven development for the trick simulation toolkit;evaluation of haptic shared control and a highway-in-the-sky display for personal aerial vehicles;an experimental comparison of haptic and automated pilot support systems;progress in loss of control mitigation;an evaluation of several stall models for commercial transport training;flight simulator augmentation for stall and upset training;pilot-vehicle system modeling using sub-scale flight experiments;air frame icing influences on the risk of loss of control in-flight;modeling and simulation of autonomous thermal soaring with horizon simulation framework;frequency-domain system identification and simulation of a quadrotor controller;study of target centric cyclic pursuit for MAVs using hardware in loop simulator;dynamic network modeling for spaceflight logistics;robotic simulation experiments demonstrating docking proximity operations and contact dynamics;lean development with the Morpheus simulation software;automatic parameter tuning for the Morpheus vehicle using particle swarm optimization and ground contact modeling for the Morpheus test vehicle simulation.

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Numerically efficient approach to simulation-driven design of planar microstrip antenna arrays by means of surrogate-based optimization 1

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conference on Solving Computationally Expensive Engineering Problems: Methods and Applications, 2008

作者： Koziel, Slawomir Ogurtsov, Stanislav Engineering Optimization and Modeling Center School of Science and Engineering Reykjavik University Menntavegur 1 ReykjavikIS-101 Iceland

ISBN: (数字)9783319089850

ISBN: (纸本)9783319089843

A numerically efficient technique for simulation-driven design of planar microstrip antenna arrays is discussed. It exploits the surrogate-based optimization (SBO) paradigm and variable-fidelity electromagnetic (EM) simulations. The design process includes radiation pattern optimization and matching. Two lowfidelity models are utilized: a coarse-mesh EM model of the entire array and a model of the array based on the array factor combined with the simulated radiation response of a single element. Both models, after suitable correction, guide the optimization process towards the optimum of the high-fidelity model of the antenna array. Design optimization of microstrip antenna arrays comprising 25 and 49 elements is conducted and described to demonstrate operation as well as efficiency of the proposed technique. The computational cost of optimized designs is equivalent to a few high-fidelity simulations of the entire array despite a large number of design variables. © Springer International Publishing Switzerland 2014.

关键词： Antenna arrays

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Symposium on Theory of modeling and simulation - DEVS Integrative M and S Symposium, DEVS 2014;2014 Spring simulation Multi-conference, SpringSim 2014

Symposium on Theory of Modeling and Simulation - DEVS Integr...

引用

2014 Symposium on Theory of modeling and simulation - DEVS Integrative M and S Symposium, DEVS 2014;2014 Spring simulation Multi-conference, SpringSim 2014

ISBN: (纸本)9781632662156

The proceedings contain 40 papers. The topics discussed include: heterogeneous DEVS simulations with connectors and reo based compositions (WIP);geometric algorithms and data structures for simulating diffusion limited reactions;optimization based on dynamic and hybrid metaheuristics via DEVS simulation;rule-based model transformation for, and in simulink;context activity selection and scheduling in context-driven simulation;DEVS-based scenario manager of multibody dynamics simulator for shipbuilding production process (WIP);a simulation-based model for a multi-domain GMPLS-based IP-over-optical network using the OMNeT++ platform (WIP);the peace game: a software-based model for understanding the complexities of modern conflict at the strategic level;explicit modeling of causal block diagram simulation environments;and the modular architecture of the python(P)DEVS simulation kernel (WIP).

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Mini-App driven Optimisation of Inertial Confinement Fusion Codes

Mini-App Driven Optimisation of Inertial Confinement Fusion ...

引用

IEEE International conference on Cluster Computing

作者： R.F. Bird P. Gillies M.R. Bareford J.A. Herdman S.A. Jarvis Department of Computer Science University of Warwick UK High Performance Computing AWE plc Aldermaston UK EPCC University of Edinburgh UK

In September 2013, the large laser-based inertial confinement fusion device housed in the National Ignition Facility at Lawrence Livermore National Laboratory, was widely acclaimed to have achieved a milestone in controlled fusion -- successfully initiating a reaction that resulted in the release of more energy than the fuel absorbed. Despite this success, we remain some distance from being able to create controlled, self-sustaining fusion reactions. Inertial Confinement Fusion (ICF) represents one leading design for the generation of energy by nuclear fusion. Since the 1950s, ICF has been supported by computing simulations, providing the mathematical foundations for pulse shaping, lasers, and material shells needed to ensure effective and efficient implosion. The research presented here focuses on one such simulation code, EPOCH, a fully relativistic particle-in-cell plasma physics code, developed by a leading network of over 30 UK researchers. A significant challenge in developing large codes like EPOCH is maintaining effective scientific delivery on successive generations of high-performance computing architecture. To support this process, we adopt the use of mini-applications -- small code proxies that encapsulate important computational properties of their larger parent counterparts. Through the development of a mini-app for EPOCH (called miniEPOCH), we investigate known time-step scaling issues within EPOCH and explore possible optimisations: (i) Employing loop fission to increase levels of vectorisation, (ii) Enforcing particle ordering to allow the exploitation of domain specific knowledge and, (iii) Changing underlying data storage to improve memory locality. When applied to EPOCH, these improvements represent a 2.02× speed-up in the core algorithm and a 1.55× speed-up to the overall application runtime, when executed on EPCC's Cray XC30 ARCHER platform.

关键词： optimization Computational modeling Arrays Plasmas Runtime Physics Magnetic domains

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simulation-driven design of planar filters using response surface approximations and space mapping 44

Simulation-driven design of planar filters using response su...

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2014 44th European Microwave conference, EuMC 2014 - Held as Part of the 17th European Microwave Week, EuMW 2014

作者： Koziel, Slawomir Bekasiewicz, Adrian Engineering Optimization and Modeling Center School of Science and Engineering Reykjavik University Reykjavik Iceland Faculty of Electronics Telecommunications and Informatics Gdansk University of Technology Gdansk Poland

ISBN: (纸本)9782874870354

A robust approach for low-cost design optimization of planar microwave filters is presented. Our technique exploits response surface approximation (RSA) models of filter cells as well as space mapping (SM) as an optimization engine. The RSA models are constructed beforehand using sampled EM-simulation data of the cells of interest. The filter structure of a required order is subsequently assembled by cascading selected models. The process of adjusting the geometry parameters of the cells is realized by means of surrogate-based optimization with the combined RSA model as an underlying low-fidelity model, which is corrected using input SM and frequency scaling. The design optimization cost is very low and corresponds to a few EM simulations of the entire filter structure. The proposed technique is illustrated using several examples of bandpass filters constructed using three types of basic cells: stubs, transmission lines, and stepped impedance resonators. © 2014 European Microwave Association.

关键词： Bandpass filters

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optimization based on dynamic and hybrid metaheuristics via DEVS simulation

Optimization based on dynamic and hybrid metaheuristics via ...

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2014 Symposium on Theory of modeling and simulation - DEVS Integrative M and S Symposium, DEVS 2014;2014 Spring simulation Multi-conference, SpringSim 2014

作者： Poggi, Bastien Santucci, Jean-François Antoine-Santoni, Thierry Sciences for Environment Information and Communication Technologies Project UMR CNRS 6134 University of Corsica Pasquale Paoli France

ISBN: (纸本)9781632662156

In this paper we present an efficient decision-making framework allowing optimization via simulation combining metaheuristics algorithms and DEVS formalism. A proposed object-oriented approach provides an universal interface between any existing DEVS models and some existing metaheuristics. To do this we explode the optimization algorithms into several actions involved in an optimization loop. Concerning the evaluation step which one can find in each metaheuristic we propose to externalize it into decision models using DEVS messages. This interconnection of components generates the following new concepts: (i) event-driven metaheuristic parametrization that allows an automatic execution of the associated algorithm;(ii) creation of dynamic and hydrid metaheuristics used for hard-optimization problems;(iii) decision support variables temporization that allows optimization on a specific time interval. We validated the effectiveness of the previous concepts through the implementation of the popular genetic algorithms and the more recent harmonic search algorithm. Furthermore the validation is completed on a real case example concerning medical treatment through a simple glycemic DEVS model. simulation results show that the resulting treatement reduces the risk of over-tratement or under-treatement.

关键词： Discrete event simulation

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