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1st International Workshop on simulation Science, SimScience 2017

ISBN: (纸本)9783319962702

The proceedings contain 16 papers. The special focus in this conference is on simulation Science. The topics include: Transparent model-driven provisioning of computing resources for numerically intensive simulations;Extending the CMMI engineering process areas for simulation systems engineering;learning state mappings in multi-level-simulation;unifying radio-in-the-loop channel emulation and network protocol simulation to improve wireless sensor network evaluation;assessing simulated software graphs using conditional random fields;Elephant against goliath: Performance of big data versus high-performance computing DBSCAN clustering implementations;impacts of vehicle sharing with driverless cars on urban transport;combining simulation and optimization for extended double row facility layout problems in factory planning;Interactive multiobjective robust optimization with NIMBUS;heuristics and simulation for water tank optimization;accelerated simulation of sphere packings using parallel hardware;MC/MD coupling for scale bridging simulations of solute segregation in solids: An application study;3D microstructure modeling and simulation of materials in lithium-ion battery cells;on microstructure-property relationships derived by virtual materials testing with an emphasis on effective conductivity.

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Forecast-driven Power Planning Approach for Microgrids Incorporating Smart Loads Using Stochastic optimization

Forecast-Driven Power Planning Approach for Microgrids Incor...

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International conference on Smart Energy Systems and Technologies (SEST)

作者： Hijjo, Mohammed Frey, Georg Saarland Univ Chair Automat & Energy Syst D-66123 Saarbrucken Germany

ISBN: (纸本)9781538653265

The main focus of this work is on improving the resilience of the standalone microgrids using the available forecast of both energy sources and loads, provided that some smart loads are incorporated in the system. The proposed approach assumes that the smartness of the loads facilitates an accurate prediction of their consumption as well as the possible time span for their operation. The kernel of the proposed approach is to provide a greedy-based scheduling scheme of a group of non-preemptive loads in order to reduce the net deficit between the aggregate load and the low-price power profile, and therefore, the levelized cost of energy (LCoE) can be minimized. Based on the driven forecast, the power routings between the components of the microgrid are investigated considering the scheduling candidates of the incorporated smart loads. Thus, the optimal schedule is selected so as to ensure the maximum utilization of the low-price power. A stochastic optimization method based on the genetic algorithms (GAs) is used to cutdown the massive searching space and provide the optimal schedule within a reasonable time. An illustrative example is used to carry out this work using a group of synthetically created loads representing different facilities inside a hospital in Gaza city. simulation results show that the proposed algorithm can significantly reduce LCoE and meanwhile maximizing the utilization factor of the installed renewable energy sources.

关键词： Load modeling Microgrids Optimal scheduling Batteries Mathematical model Generators Smart buildings

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2018 IEEE International conference on simulation, modeling, and Programming for Autonomous Robots, SIMPAR 2018

2018 IEEE International Conference on Simulation, Modeling, ...

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2018 IEEE International conference on simulation, modeling, and Programming for Autonomous Robots, SIMPAR 2018

ISBN: (纸本)9781538659748

The proceedings contain 26 papers. The topics discussed include: comparison of control methods: learning robotics manipulation with contact dynamics;DoShiCo challenge: domain shift in control prediction;surface/subsurface mapping with an integrated rover-GPR system, a simulation approach;reactive path planning for collaborative robot using configuration space skeletonization;reinforcement learning for non-prehensile manipulation: transfer from simulation to physical system;learning from outside the viability kernel: why we should build robots that can fail with grace;analysis of a simple model for post-impact dynamics active compliance in humanoids falls with nonlinear optimization;nonlinear model predictive control with adaptive time-mesh refinement;dynamic programming accelerated evolutionary planning for constrained robotic missions;increased visibility sampling for probabilistic roadmaps;an open-source architecture for simulation, execution and analysis of real-time robotics systems;the control toolbox - an open-source C++ library for robotics, optimal and model predictive control;simulating differential games with improved fidelity to better inform cooperative & adversarial two vehicle UAV flight;the sleepwalker framework: verification and validation of autonomous vehicles by mixed reality lidar stimulation;dynamics simulation for an upper-limb human-exoskeleton assistance system in a latent-space controlled tool manipulation task;CU-brick cable-driven robot for automated construction of complex brick structures: from simulation to hardware realisation;and ROS-health: an open-source framework for neurorobotics.

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modeling and simulation of Vehicle Engine PMSM Cooling System Based on Fuzzy Control

Modeling and Simulation of Vehicle Engine PMSM Cooling Syste...

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China International Electrical and Energy conference (CIEEC)

作者： Chengdong Gui Wenguang Chen Jia Du Wei Hu School of Electrical Engineering University of South China Hengyang P. R. China

ISBN: (数字)9781728116754

ISBN: (纸本)9781728116761

From the perspective of thermodynamics, based on the structural characteristics of the vehicle engine permanent magnet synchronous motor (PMSM) driving cooling system and the principle of heat dissipation, a simplified mathematical model of the cooling system is established. Taking the optimal coolant temperature and system energy consumption optimization at the engine as the research goal, the fuzzy control algorithm is adopted to adjust the speed of the motor-driven cooling fan, and a nonlinear control strategy is introduced for a comparative study. The energy consumption of the cooling system is analyzed and optimized to ensure optimum engine outlet coolant temperature. The results show that the fuzzy control strategy has a fast response speed, which can control the coolant temperature at engine outlet within 90 ± 0.25 °C, and can reduce the energy consumption of the entire cooling system.

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Accelerated optimization of input characteristics of wideband antennas using improved trust-region gradient search

Accelerated optimization of input characteristics of wideban...

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Loughborough Antennas and Propagation conference 2018, LAPC 2018

作者： Koziel, S. Engineering Optimization and Modeling Center Reykjavik University Reykjavik Iceland

ISBN: (纸本)9781785617911

simulation-driven design of antenna structures is a time consuming process due to a large number of EM analyses required by the optimization algorithms to converge. Computational speedup can be achieved by means of various methods including utilization of adjoint sensitivities, variable-fidelity simulations, controlling design space dimensionality, as well as surrogate-assisted procedures. The paper proposes a simple modification of a trust-region gradient-based algorithm with numerical derivatives for optimization of input characteristics of antennas. In our approach, the time savings are obtained by adaptive handling of the antenna response Jacobian updates, based on the design change during each algorithm iteration as compared to the trust region size. It is demonstrated that the proposed algorithm modification may lead to up to 52 percent savings over the reference algorithm with only minor degradation of the design quality. Our considerations are illustrated using three UWB antenna structures. © 2018 Institution of Engineering and Technology. All rights reserved.

关键词： Antennas

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Soft-Sensing Development Using Adaptive PSO optimization Based Multi-Kernel ELM with Error Feedback 7

Soft-Sensing Development Using Adaptive PSO Optimization Bas...

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IEEE 7th Data driven Control and Learning Systems conference (DDCLS)

作者： Xu, Yuan Du, Qiang Zhang, Mingqing Zhu, Qunxiong He, Yanlin Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing 100029 Peoples R China Minist Educ China Engn Res Ctr Intelligent PSE Beijing 100029 Peoples R China

ISBN: (纸本)9781538626184

It is very hard to measure some process variables directly in actual industrial processes, so a soft senor model using adaptive particle swarm optimization (PSO) optimization based multi-kernel ELM with error feedback is proposed in this paper. Firstly, multi-kernel ELM is constructed by adding gaussian and polynomial kernel function to ameliorate the overfitting problem in traditional ELM. Secondly, we propose an adaptive PSO (APSO) for ameliorating the low efficiency problem in the later period of PSO method by adding mutation operator. When given parameter reaches a threshold, the mutation operator adaptively adjusts the position of the particle. Also, the proportion of two kernel functions and the kernel parameters in training process are obtained by APSO. In each iteration, the training error is back propagated to the hidden layer as the co-outputs of hidden layer for further improving the accuracy and stability of the model. Finally, a simulation experiment on the purified terephthalic acid (PTA) solvent system is made to verify the modeling accuracy and optimized performances. The evaluation result demonstrates that the proposed method can provide higher accuracy and a more reliable soft senor model compared with other method.

关键词： Extreme learning machine (ELM) multi-kernel error feedback PSO purified terephthalic acid (PTA) solvent system

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Modelling and simulation of a Single Cyclone for Optimal Efficiency for a Batch-Type Fixed-Bed Down-Draft Gasifier using CFD

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IOP conference Series: Materials Science and Engineering 2021年第1期1107卷

作者： S. J. Aliyu E. L. Kucha S. J. Ibrahim Mechanical Engineering Department Landmark University Omuaran Nigeria. Department of Mechanical Engineering University of Agriculture Makurdi Benue State Nigeria Department of Mechanical Engineering University of Agriculture Makurdi Benue State Nigeria. +***.

Modelling and optimization have long been established as a means of achieving efficiency in energy systems also in sustaining the environment. In Nigeria, where environmental pollution have become a challenge, the problem of pollution and safety has become a global concern whereby sustainable power generation systems with zero greenhouse emission will serve as a better way of sustaining the environment. simulation been a basic similitude tool to real life engineering design enable the engineers to understand the interactive flow process within an operating systems, postulating operation results, designing process systems or optimizing the operating system with optimum accuracy. This tool enables an engineer to establish the geometrical parameters for the actual design of the system. Cyclones, which are widely used as air pollution abatement equipment, are used in processing industries for removal of particulate matter (PM). A 1D2D centrifugal fan power driven cyclone is attached to a batch-type fixed-bed downdraft gasifier was modelled and simulated to determine the behaviour of the gasification products and the optimal efficiency of the cyclone. Applying mathematical modeling and CFD tools to understand the effect of the gas stream on the cyclone performance and a new optimized cyclone geometrical ratios based on the mathematical model was attained. Establishing the cyclone modelling was done by applying the heat content simulation tool (MATLAB-Software package) and using the response surface methodology (RSM) approach. The geometrical parameters in cyclone separators significantly affected the flow field and performance parameters. Analysis of the experimental design informed the researcher on the relationship between the effects of inlet dimensions and the vortex finder diameter on the performance of the cyclone. The cyclone design and simulation of the cyclone has shown that it can effectively remove solid particles from a gas stream (syn-gas). The calculation s

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Rapid Design of Compact Impedance Matching Transformers for Energy Harvesting Applications By Means Of Inverse and Forward Surrogates 48

Rapid Design of Compact Impedance Matching Transformers for ...

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48th European Microwave conference (EuMC)

作者： Koziel, Slawomir Bekasiewicz, Adrian Reykjavik Univ Sch Sci & Engn Reykjavik Iceland Gdansk Univ Technol Fac Elect Telecommun & Informat Gdansk Poland

ISBN: (纸本)9782874870514

The paper proposes a novel three-stage framework for rapid and reliable design optimization of complex impedance matching transformers for energy harvesting applications. Our approach involves inverse and forward surrogate modeling techniques. The inverse model is utilized to obtain a good initial transformer dimensions at the equivalent network modeling level. The forward surrogates (here, space mapping ones) permit rapid design closure at the full-wave EM simulation modeling level. The proposed methodology is demonstrated using a four-section compact transformer for energy harvesting applications. The circuit dimensions are scaled within wide ranges of the load impedance magnitude and phase (from 30 to 130 ohm and -26.5 to 26.5 degrees, respectively) at low computational cost corresponding to up to three EM analyses of the transformer structure. Reliability of the framework is validated through comprehensive numerical experiments as well as application case studies. The latter are provided to indicate that appropriate transformer design is critical for performance improvement of the rectifier circuits, both in terms of operational bandwidth and matching.

关键词： microwave design impedance transformers EM-driven design rectifiers energy harvesting surrogate modeling

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SOLAR 2018 - 47th National Solar conference of the American Solar Energy Society

SOLAR 2018 - 47th National Solar Conference of the American ...

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47th National Solar conference of the American Solar Energy Society, SOLAR 2018

ISBN: (纸本)9783981465990

The proceedings contain 14 papers. The topics discussed include: powering third world countries for the same cost as building the border wall;simulation and lessons learned from the Ivanpah Solar Plant project;a data-driven framework for deploying solar PV at Penn State University;renewable resources of the northern half of the United States;a pathway to total renewability?;challenging conventional wisdom in the age of computing;multi-generation modeling and building energy use optimization based on a natural gas driven internal combustion engine;preliminary design and analysis of low-cost concentrating offshore solar energy innovations;and comparative analysis of energy storage for photovoltaics: electrical vs virtual.

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Data-driven Approach to Simulating Realistic Human Joint Constraints

Data-Driven Approach to Simulating Realistic Human Joint Con...

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IEEE International conference on Robotics and Automation (ICRA)

作者： Jiang, Yifeng Liu, C. Karen Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA Georgia Inst Technol Sch Interact Comp Atlanta GA 30332 USA

ISBN: (纸本)9781538630815

modeling realistic human joint limits is important for applications involving physical human-robot interaction. However, setting appropriate human joint limits is challenging because it is pose-dependent: the range of joint motion varies depending on the positions of other bones. The paper introduces a new technique to accurately simulate human joint limits in physics simulation. We propose to learn an implicit equation to represent the boundary of valid human joint configurations from real human data. The function in the implicit equation is represented by a fully connected neural network whose gradients can be efficiently computed via back-propagation. Using gradients, we can efficiently enforce realistic human joint limits through constraint forces in a physics engine or as constraints in an optimization problem.

关键词： Joints Mathematical model Physics Robots Neural networks Elbow Computational modeling"

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