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Simulation-based optimization concept for integrated assessment models: Case study MEDEAS-world

e-Prime - Advances in Electrical engineering, Electronics and Energy 2024年 9卷

作者： Bjelic, Ilija Batas Capellán-Pérez, Iñigo Rajakovic, Nikola Institute of Technical Sciences of the Serbian Academy of Sciences and Arts Group of Energy Economy System Dynamics & Department of System Engineering and Automation School of Industrial Engineering University of Valladolid School of Electrical Engineering University of Belgrade Research Group on Energy Economy and System Dynamics Escuela de Ingenierı ́as Industriales University of Valladolid

Simulation based optimization concept has been so far presented at local and national energy systems planning levels. This method represents a systematic way of dealing with uncertainties and combinatorial complexity when using modelling tools of very large size with significant number of possible policy inputs, and could be useful to analyse policy recommendations in broader models integrating more dimensions than energy. For the first time, the concept is successfully demonstrated using a working integrated assessment model (IAM), although some attempts have been mentioned in literature previously. IAMs aim to link main features of society, economy and energy with the biosphere and atmosphere into one modelling framework. The concept has been demonstrated for the IAM MEDEAS-World using system dynamics platform Vensim (version 9.3.4.) for both simulation and optimization. For an optimization problem formulation, 12 decision variables are selected from numerous input model parameters, the gross domestic product per capita has been selected for a goal function from simulation result as quantifiable policy objective, while for the constraint CO₂ emissions is selected as subject to binding targets. It is possible to compile the simulation code so that optimization running time is around 10 times shorter. Preliminary results show that it is possible to implement richer optimization problems without significant increases in the running time using personal computers. The main contribution of this work is to prove the concept of simulation-based optimization by a demonstration within a working IAM. This opens the way to promising future work to inform about optimal combinations of available policies within different storylines, as well as providing additional general understanding of the IAM which could allow to improve the model. The original Vensim code has been provided in the Appendix. © 2024

关键词： Coupling IAM Optimization Simulation Vensim

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Study on Wear Characteristics of the Rack-and-Pinion Driving Mechanism in the Rack Railway Under Mixed Elastohydrodynamic Lubrication

Study on Wear Characteristics of the Rack-and-Pinion Driving...

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International Conference on Mechanical Design, ICMD 2023

作者： Zeng, Liyuan Luo, Jinming Liu, Fengyuan Wang, Shisong Deng, Xingqiao School of Mechanical and Electrical Engineering Chengdu University of Technology Sichuan Chengdu610059 China Sichuan Dujin Mountain Rail Transit Co. Ltd Sichuan Chengdu611830 China Sichuan Shudao New System Rail Group Co. Ltd Sichuan Chengdu610072 China School of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu610059 China

ISBN: (纸本)9789819709212

The rack-and-pinion is a crucial driving mechanism in the rack railway, especially when climbing slopes. As an open transmission system with low speed and heavy load, it is prone to failures primarily caused by tooth surface wear. Therefore, it is essential to understand wear characteristics of the tooth surface to ensure the safety and the service life of the rack railway. In this paper, a prediction model for tooth surface wear (TSW) of the rack-and-pinion driving mechanism in the rack railway under mixed elastohydrodynamic lubrication (EHL) is established. The meshing parameters of the rack-and-pinion are calculated. Then the contact pressure of the asperity is calculated according to Hertz's elastic contact theory and load sharing concept. The sliding distance at the contact point is achieved by single point observation method. Taking into account the effects of lubrication state, surface roughness, and contact temperature on the tooth surface, a wear model for the rack-and-pinion under mixed EHL is established, and the wear characteristics of the driving pinion are studied. Effects of working parameters, surface roughness and geometrical parameters on the wear depth of the driving pinion are further investigated. The findings of this study can be used as a basis for predicting the wear of the rack-and-pinion under mixed EHL and optimizing the design of the rack-and-pinion driving mechanism in the rack railway. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Elastohydrodynamic lubrication

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Research on geomembrane leakage detection method based on quadruped robot

Research on geomembrane leakage detection method based on qu...

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2024 China automation Congress, CAC 2024

作者： Zhang, Pengcheng Hu, Ningning Wang, Xiao Xi, Qingbiao Zhao, Haohao Wu, Xingchen Qin, Linfeng Yuan, Dongli Investigation & Testing Research Institute Shanghai Investigation Design & Research Institute Co. Ltd. Shanghai China System Department 2 Xi'an ASN Technology Group Co. Ltd Xi'an China School of Electronic and Control Engineering Chang'an University Xi'an China School of Automation Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9798350368604

Aiming at the problem of leakage detection of seepage control geomembranes in landfills, a fully autonomous dipole method detection system based on a quadruped robot equipped with a dipole sensor is designed. The feasibility and superiority of using a quadruped robot are analyzed on the basis of the detection principle of the dipole method. Due to the problems existing in the process of upgrading the artificial static detection to autonomous dynamic detection, a dynamic detection method based on a quadruped robot is designed while the structure construction of the dipole method on the quadruped robot is completed. The experimental results show that the efficiency of geomembrane leakage detection can be improved with detection system method employed in this paper. © 2024 IEEE.

关键词： Geomembranes

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Optimized Deloading Operation of Wind Turbine Generator in Virtual Power Plant Considering Forecast Error and Carbon Trading

Optimized Deloading Operation of Wind Turbine Generator in V...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Yang Yan Kang Qian Dongsen Li Yiyue Xu Jiejie Huang Zhangfan Wang Department of integrated energy system China Energy Engineering Group Jiangsu Power Design Institute Co. LTD. Nanjing China School of Electrical Engineering and Automation Nantong University Nantong China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

For virtual power plant (VPP) that includes the wind turbine generator (WTG) and gas turbine (GT), output power curve of the VPP to participate in the bidding of day-ahead electricity market is determined with the wind speed forecast. The forecast error of the wind speed may result in inadequate power output from the WTG and the deficiency may be compensated by power output from the GT. The deficiency may be reduced by bidding with the power output curve of the WTG under the deloading operation mode. In this article, the overall operation cost of the VPP with the deloading operation of the WTG is evaluated, which considers revenue from the electricity sale, as well as cost of GT operation, carbon trading, and active power reserve. The deloading ratio of the WTG is optimized by evaluating the operation cost, in order to minimize the impact of the forecast error on the overall operation cost of the VPP. Numerical analysis result validates the effectiveness of the proposed optimization algorithm.

关键词： Costs Accuracy Wind speed Emissions trading Virtual power plants Electricity supply industry Generators Wind turbines Wind forecasting Optimization

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Dynamics Characteristics Analysis of Rack Railway Guiding Equipment of Mountain Rack Railway Train with Considering Wheel-Rail Contact

Dynamics Characteristics Analysis of Rack Railway Guiding Eq...

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International Conference on Mechanical Design, ICMD 2023

作者： Wang, Haowen Xiang, Quanming Liu, Weiping Gao, Chang Liu, Jialin Wang, Shisong Deng, Xingqiao College of Mechanical and Electrical Engineering Chengdu University of Technology Sichuan Chengdu610059 China Sichuan Dujin Mountain Rail Transit Co. Ltd. Sichuan Chengdu611830 China Sichuan Shudao New System Rail Group Co. Ltd. Sichuan Chengdu610072 China School of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu610059 China

ISBN: (纸本)9789819709212

A multi-body dynamic simulation model is established to study the rack railway guiding equipment (RRGE) in the mountain rack railway train system. This model incorporates the effects of wheel rail-rack rail contact and linear spring damper, which can accurately depict the dynamic response of RRGE. Considering the factors such as train passing speed, vertical distance, and initial gear posture, the model is first applied to analyze the dynamic characteristics of the gear. Then according to the gear entry condition and gear rotational speed, the vibration response of RRGE when the gear passing through rollers is analyzed. Finally, the dynamic characteristics of gear and RRGE under two extreme conditions are comparatively analyzed, and a set of parameters are proposed to ensure the smooth transition of the train. The simulation results show that, to ensure the safety of the mountain rack railway train, it is recommended to set the vertical distance at 173 mm and the initial gear posture at tooth contact. Furthermore, when selecting the train passing speed, factors such as gear entry condition, train operation efficiency, and shock vibration level should be taken into consideration. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Railroads

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Doppler-only Single-scan 3D Vehicle Odometry

Doppler-only Single-scan 3D Vehicle Odometry

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IEEE International Conference on Robotics and automation (ICRA)

作者： Andres Galeote-Luque Vladimír Kubelka Martin Magnusson Jose-Raul Ruiz-Sarmiento Javier Gonzalez-Jimenez System Engineering and Automation Department Machine Perception and Intelligent Robotics (MAPIR) Group University of Malaga Spain Mobile Robotics & Olfaction (MRO) AASS Research Centre Örebro University Sweden

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

We present a novel 3D odometry method that recovers the full motion of a vehicle only from a Doppler-capable range sensor. It leverages the radial velocities measured from the scene, estimating the sensor’s velocity from a single scan. The vehicle’s 3D motion, defined by its linear and angular velocities, is calculated taking into consideration its kinematic model which provides a constraint between the velocity measured at the sensor frame and the vehicle *** carried out prove the viability of our single-sensor method compared to mounting an additional IMU. Our method provides a more reliable translation of the sensor, compared to the errors linked to IMUs due to noise and biases. Its short-term accuracy and fast operation (∼5ms) make it a proper candidate to supply the initialization to more complex localization algorithms or mapping pipelines. Not only does it reduce the error of the mapper, but it does so at a comparable level of accuracy as an IMU would. All without the need to mount and calibrate an extra sensor on the vehicle.

关键词： Accuracy Three-dimensional displays Roads Heuristic algorithms Pipelines Kinematics Odometry

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Human Following Robot Based on Object Detection for Aerospace Application

Human Following Robot Based on Object Detection for Aerospac...

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Aerospace Electrical engineering and Informatics (ICAAEEI), International Conference of Adisutjipto on

作者： Arwin Datumava Wahvudi Sumari Ahnaf Bagus Aryandika Ndaru Atmi Purnami Denny Dermawan Ika Noer Syamsiana Department of Electrical Engineering Cognitive Artificial Intelligence Research Group State Polytechnic of Malang Malang Indonesia Electrical Engineering Study Program Adisutjipto Institute of Aerospace Technology Yogyakarta Indonesia Aerospace Navigation Instrumentation Control Automation and Robotics System Research Group Electrical Engineering Study Program Adisutjipto Institute of Aerospace Technology Yogyakarta Indonesia Aerospace Digital System Microprocessor Microcontroller and Programmable Logic Devices Research Group Electrical Engineering Study Program Adisutjipto Institute of Aerospace Technology Yogyakarta Indonesia

ISBN: (数字)9798331507930

ISBN: (纸本)9798331507947

In this research, the Human Following Robot (HFR) prototype has been designed and implemented using YOLO v3-Tiny and Tensor Flow Lite on Raspberry Pi hardware named Rewang. The HFR Rewang is designed to assist aircraft technicians by bringing maintenance tool kits to aircraft shelters. Rewang's movement is based on a camera as a vision sensor following the movement of human entities. Image input is processed by YOLO v3-Tiny through the determination of the bounding box, the calculation of Euclidean Distance, and the determination of the pixel value of the camera as the basis of Rewang's movement which is regulated by an L298N driver motor that controls two Direct Current (DC) motors for the left and right wheels. The test results show that Rewang can move at an average speed of 0.18 m/s at 2 m with a travel time of 11 seconds with a light intensity of more than 250 lux. The minimum and maximum distance of object detection is as far as 120 cm and 400 cm, with an object detection accuracy of 95.8%. Rewang allows the HFR to have a larger carrying capacity to bring more complete aircraft maintenance tools and is prospective for other aerospace and general applications.

关键词： YOLO Tensors Accuracy Prototypes Wheels Cameras Hardware Maintenance Aircraft Aerospace industry

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An OpenPLC-based Active Real-time Anomaly Detection Framework for Industrial Control systems

An OpenPLC-based Active Real-time Anomaly Detection Framewor...

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2022 Chinese automation Congress, CAC 2022

作者： Zheng, Chengxu Wang, Xiaopeng Luo, Xiaoyu Fang, Chongrong He, Jianping Shanghai Jiao Tong University The Key Laboratory of System Control and Information Processing Ministry of Education of China And Shanghai Engineering Research Center of Intelligent Control and Management The Dept. of Automation Shanghai China NSFOCUS Technologies Group Co. Ltd Beijing China

ISBN: (纸本)9781665465335

In recent years, the design of anomaly detectors has attracted a tremendous surge of interest due to security issues in industrial control systems (ICS). Restricted by hardware resources, most anomaly detectors can only be deployed at the remote monitoring ends, far away from the control sites, which brings potential threats to anomaly detection. In this paper, we propose an active real-time anomaly detection framework deployed in the controller of OpenPLC, which is a standardized open-source PLC and has high scalability. Specifically, we add adaptive active noises to control signals, and then identify a linear dynamic system model of the plant offline and implement it in the controller. Finally, we design two filters to process the estimated residuals based on the obtained model and use χ2 detector for anomaly detection. Extensive experiments are conducted on an industrial control virtual platform to show the effectiveness of the proposed detection framework. © 2022 IEEE.

关键词： Anomaly detection

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An Improved Safe Braking Model of Virtually Coupled Trains for Closer Tracking 21

An Improved Safe Braking Model of Virtually Coupled Trains f...

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21st International Conference on Networking, Sensing and Control, ICNSC 2024

作者： Yan, Wenxiao Wang, Jiayu Fan, Liqun Liu, Qiusheng Jia, Qingdong Wang, Yihan Liu, Hongjie Shenzhen Metro Group Co. Ltd. Shenzhen518026 China Shenzhen Municipal Design and Research Institute Co. Ltd. Shenzhen518029 China Traffic control Technology Co. Ltd. Beijing100070 China School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing100044 China

ISBN: (纸本)9798350365221

With the rapid growth of transportation passenger flow in recent years, the research direction of Virtual Coupling (V C) in railways has become hot. V C increases capacity by tracking shorter distances. The traditional train emergency braking (EB) model can no longer meet the high operating efficiency requirements of VC. VC urgently needs a more efficient safety EB model. Therefore, to improve efficiency, a measurement of the EB model's rationality is defined considering safety and efficiency. Based on the defined model measurement, an EB model optimization method and a new EB model are proposed. The new model is closer to the actual braking process of the train and ensures safety from the distance level. That is, the braking trajectory of the train calculated by the new model is closer to the actual braking trajectory of the train, and the two braking trajectories satisfy the specific safety constraints. Finally, the safety and efficiency of the new model were verified through simulation experiments. The new model can avoid train collisions during the entire EB process. Experimental results show that compared with the traditional old EB model of VC based on space-time interval [1], the new model's minimum safe distance (MSD) between two VC train units can be reduced by 39%. © 2024 IEEE.

关键词： Railroad accidents

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Research on the Prediction of Bearing Life Based on EMD and PF

Research on the Prediction of Bearing Life Based on EMD and ...

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2022 International Conference on Advanced Sensing and Smart Manufacturing, ASSM 2022

作者： Li, Weilin Chen, Feng Zhou, Hangchao He, Yinda ZhejiangFangyuan Test Group Co. LTD. Zhejiang Hangzhou310018 China Zhejiang Key Laboratory of New Energy Vehicle Drive System of Market Supervision Zhejiang Hangzhou310014 China Schoolof Mechanical Engineering and Automation Zhejiang Sci-Tech University Zhejiang Hangzhou310018 China

ISBN: (纸本)9781510657779

Bearings are widely used in industrial production lines and rotating machinery equipment, and bearing failure may prevent the operation of the entire system, so its reliability is very important. It is particularly important to repair and maintain bearings before failure, so we need to accurately know the residual life of bearings and assess the degradation state of bearings. Therefore, this paper puts forward a bearing life prediction method based on EMD (empirical mode decomposition) and PF (particle filter). First, aiming at the non-linear and non-stationary features of vibration signals of bearings, EMD is conducted for signals, which mainly eliminates the noise mixed in the original signals effectively through effective component reconstruction, analyzes the intrinsic mode component obtained and extract its energy entropy, and take the energy entropy feature as the degradation characteristics indicating the heath state of bearings. Second, the performance degradation model of bearings is built according to the trend characteristics, and PF is used to update the parameters of the performance degradation model of bearings for predicting the remaining life. In order to verify its effectiveness, the method proposed is verified with two groups of whole-life data of bearings and compared with the traditional ARIMA model. The experimental results show that the RMSE value calculated by the proposed EMD-PF prediction model is significantly smaller than that of the ARIMA model, and the prediction error decreases gradually with the degradation process. The prediction model proposed has stable convergence and can effectively predict the degradation process of bearings. © 2022 SPIE.

关键词： Empirical mode decomposition

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