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Demonstration of a small‐scale power generator using supercritical CO_(2)

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Carbon Energy 2024年第4期6卷 269-290页

作者： Ligeng Li Hua Tian Xin Lin Xianyu Zeng Yurong Wang Weilin Zhuge Lingfeng Shi Xuan Wang Xingyu Liang Gequn Shu State Key Laboratory of Engines Tianjin UniversityTianjinChina Department of Thermal Science and Energy Engineering University of Science and Technology of ChinaHefeiChina State Key Laboratory of Automotive Safety and Energy Tsinghua UniversityBeijingChina

The supercritical CO_(2)(sCO_(2))power cycle could improve efficiencies for a wide range of thermal power plants.The sCO_(2)turbine generator plays an important role in the sCO_(2)power cycle by directly converting thermal energy into mechanical work and electric power.The operation of the generator encounters challenges,including high temperature,high pressure,high rotational speed,and other engineering problems,such as leakage.Experimental studies of sCO_(2)turbines are insufficient because of the significant difficulties in turbine manufacturing and system construction.Unlike most experimental investigations that primarily focus on 100 kW‐or MW‐scale power generation systems,we consider,for the first time,a small‐scale power generator using sCO_(2).A partial admission axial turbine was designed and manufactured with a rated rotational speed of 40,000 rpm,and a CO_(2)transcritical power cycle test loop was constructed to validate the performance of our manufactured generator.A resistant gas was proposed in the constructed turbine expander to solve the leakage issue.Both dynamic and steady performances were investigated.The results indicated that a peak electric power of 11.55 kW was achieved at 29,369 rpm.The maximum total efficiency of the turbo‐generator was 58.98%,which was affected by both the turbine rotational speed and pressure ratio,according to the proposed performance map.

关键词： generator performance map power generation supercritical CO_(2) turbine

A Magnetic-Multiplier-Enabled Hybrid generator with Frequency Division Operation and High Energy Utilization Efficiency

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Research 2024年第1期2023卷 561-570页

作者： Jie Chen Kangjie Wu Shaokun Gong Jianchao Wang Ke Wang Hengyu Guo College of Physics and Electronic Engineering Chongqing Key Laboratory Photo-electric Functional MaterialsChongqing Normal UniversityChongqing 401331China State Key Laboratory of Mechanical Transmission College of Mechanical and Vehicle EngineeringChongqing UniversityChongqing 400044China School of Physics Chongqing UniversityChongqing 400044China

The hybrid electromagnetic-triboelectric generator(HETG)is a prevalent device for mechanical energy harvesting.However,the energy utilization efficiency of the electromagnetic generator(EMG)is inferior to that of the triboelectric nanogenerator(TENG)at low driving frequencies,which limits the overall efficacy of the HETG.To tackle this issue,a layered hybrid generator consisting of a rotating disk TENG,a magnetic multiplier,and a coil panel is proposed.The magnetic multiplier not only forms the EMG part with its high-speed rotor and the coil panel but also facilitates the EMG to operate at a higher frequency than the TENG through frequency division operation.The systematic parameter optimization of the hybrid generator reveals that the energy utilization efficiency of EMG can be elevated to that of rotating disk TENG.Incorporating a power management circuit,the HETG assumes the responsibility for monitoring the water quality and fishing conditions by collecting low-frequency mechanical energy.The magneticmultiplier-enabled hybrid generator demonstrated in this work offers a universal frequency division approach to improve the overall outputs of any hybrid generator that collects rotational energy,expanding its practical applications in diverse multifunctional self-powered systems.

关键词： generator rotating assume

Reliability Analysis of a Switched Reluctance Starter/generator

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Protection and Control of Modern Power Systems 2024年第1期9卷 112-121页

作者： Hao Chen Fan Yang Lijun Xu Qiwei Lu Xiqiang Chang Xing Wang Lijiang Dong Yi Wen Jiang Chen Gang Miao Jianmin Hu Guanjun Wang Wei Li Xiaohua Bao School of Electrical Engineering China University of Mining and TechnologyXuzhou 221116China Xinjiang Institute of Engineering Urumqi 830000China International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and Equipment Xuzhou 221008China International Cooperation Joint Laboratory of New Energy Power Generation and Electric Vehicles of Jiangsu Province Colleges and Universities Xuzhou 221008China School of Information and Electrical Engineering China University of Mining and TechnologyXuzhouChina China University of Mining and Technology(Beijing) BeijingChina State Grid Xingjiang Electric Power Co. Ltd.UrumqiXinjiangChina China University of Mining and Technology XuzhouChina State Grid Xinjiang Company Limited Electric Power Research Institute UrumqiXinjiangChina Xinjiang Fukang Pumped Storage Power Company Limited UrumqiXinjiangChina State Grid Urumqi Electric Power Supply Company UrumqiXinjiangChina Wuxi Inspection and Testing Certification Research Institute WuxiJiangsuChina Anhui Wannan Electric Machine Co. Ltd.WannanAnhuiChina Hefei University of Technology in Electrical and Automation Engineering

In this paper,the combined k-out-of-n:G model and reliability block diagram model is used to analyze the reliability of a switched reluctance starter/generator system.First,the different operational modes of a switched reluctance motor starter/generator are analyzed,and the fault states of the system are briefly described.Then the fault criteria of the system in different operational states are put forward.Secondly,a relia-bility block diagram model is established to calculate the system-level reliability,and the k-out-of-n:G model is adopted to analyze the reliability of each part of the switched reluctance starter/generator system.To verify effectiveness,the first-order Markov model is also used to analyze the reliability of each part of the switched reluc-tance starter/generator system.Considering the compu-tational complexity and accuracy of the system,the k-out-of-n:G model is more suitable for system component level reliability analysis.Finally,a 6/4 switched reluctance motor is used as the simulated and experimental platform motor.The final results verify the effectiveness of the reliability analysis model.

关键词： system switched generator

A near-zero quiescent power breeze wake-up anemometer based on a rolling-bearing triboelectric nanogenerator

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Microsystems & Nanoengineering 2024年第2期10卷 241-249页

作者： Xianpeng Fu Zhichao Jiang Jie Cao Zefang Dong Guoxu Liu Meiling Zhu Chi Zhang CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China School of Nanoscience and Engineering University of Chinese Academy of SciencesBeijing100049China Center on Nanoenergy Research Guangxi Colleges and Universities Key Laboratory of Blue Energy and Systems IntegrationSchool of Physical Science&TechnologyGuangxi UniversityNanning530004China Institute of Intelligent Flexible Mechatronics Jiangsu UniversityZhenjiang212013China College of Engineering Mathematics and Physical ScienceUniversity of ExeterExeterEX44QFUK

Wind sensors have always played an irreplaceable role in environmental information monitoring and are expected to operate with lower power consumption to extend service lifetime.Here,we propose a breeze wake-up anemometer(B-WA)based on a rolling-bearing triboelectric nanogenerator(RB-TENG)with extremely low static power.The B-WA consists of two RB-TENGs,a self-waking-up module(SWM),a signal processing module(SPM),and a wireless transmission unit.The two RB-TENGs are employed for system activation and wind-speed sensing.Once the ambient wind-speed exceeds 2 m/s,the wake TENG(W-TENG)and the SWM can wake up the system within 0.96 s.At the same time,the SPM starts to calculate the signal frequency from the measured TENG(M-TENG)to monitor the wind speed with a sensitivity of 9.45 Hz/(m/s).After the wind stops,the SWM can switch off the B-WA within 0.52 s to decrease the system energy loss.In quiescent on-duty mode,the operating power of the B-WA is less than 30 nW,which can greatly extend the service lifetime of the B-WA.By integrating triboelectric devices and rolling bearings,this work has realized an ultralow quiescent power and self-waked-up wireless wind-speed monitoring system,which has foreseeable applications in remote weather monitoring,IoT nodes,and so on.

关键词： generator power service

基于System generator的卷积加速结构设计与实现

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计算机应用与软件 2024年第4期41卷 224-227,274页

作者：成鸿群刘宜成涂海燕徐金鹏王广泰四川大学电气工程学院四川成都610065

为解决卷积神经网络中卷积运算耗时长、运算复杂的问题,针对卷积运算的并行性特征,提出一种基于分块的流水线加速方法,并基于该方法在System generator上进行了电路设计。通过在FPGA(Field-programmable Gate Array)上进行实验验证,该... 详细信息

为解决卷积神经网络中卷积运算耗时长、运算复杂的问题,针对卷积运算的并行性特征,提出一种基于分块的流水线加速方法,并基于该方法在System generator上进行了电路设计。通过在FPGA(Field-programmable Gate Array)上进行实验验证,该设计模型能正确输出卷积运算结果;在结构和输入数据相同的情况下,该设计模型在计算速度上相比于普通CPU最高可加速258倍,相比于服务器级CPU提高了近40倍,具有良好的加速效果。

关键词：卷积神经网络卷积运算 System generator 现场可编程门阵列

What value does video generator Sora bring to the textile industry?

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China Textile 2024年第2期 62-63页

作者： Zhong Mengxia 不详

On 15 February,OpenAI released its first video generation model"Sora".This is another disruptive work of the company after ChatGPT.It is reported that this AI video model can generate HD videos up to 1 minute long based on the text given by the user.For the time being,its impact on the textile industry may be indirect,but it may also have some interesting and practical effects as it is developed and refined in the future.Here are some of the effects that Sora may have on the textile industry.

关键词： Open video generator

I-DCGAN and TOPSIS-IFP:A simulation generation model for radiographic flaw detection images in light alloy castings and an algorithm for quality evaluation of generated images

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China Foundry 2024年第3期21卷 239-247页

作者： Ming-jun Hou Hao Dong Xiao-yuan Ji Wen-bing Zou Xiang-sheng Xia Meng Li Ya-jun Yin Bao-hui Li Qiang Chen Jian-xin Zhou State Key Laboratory of Materials Processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhan 430074China Xinjiang Technology(Jiangsu)Co. Ltd.Nantong 226100JiangsuChina Southwest Technique and Engineering Research Institute Chongqing 400039China Shanghai Spaceflight Precision Machinery Institute Shanghai 201600China

The intelligent detection technology driven by X-ray images and deep learning represents the forefront of advanced techniques and development trends in flaw detection and automated evaluation of light alloy castings.However,the efficacy of deep learning models hinges upon a substantial abundance of flaw samples.The existing research on X-ray image augmentation for flaw detection suffers from shortcomings such as poor diversity of flaw samples and low reliability of quality evaluation.To this end,a novel approach was put forward,which involves the creation of the Interpolation-Deep Convolutional Generative Adversarial Network(I-DCGAN)for flaw detection image generation and a comprehensive evaluation algorithm named TOPSIS-IFP.I-DCGAN enables the generation of high-resolution,diverse simulated images with multiple appearances,achieving an improvement in sample diversity and quality while maintaining a relatively lower computational complexity.TOPSIS-IFP facilitates multi-dimensional quality evaluation,including aspects such as diversity,authenticity,image distribution difference,and image distortion degree.The results indicate that the X-ray radiographic images of magnesium and aluminum alloy castings achieve optimal performance when trained up to the 800th and 600th epochs,respectively.The TOPSIS-IFP value reaches 78.7%and 73.8%similarity to the ideal solution,respectively.Compared to single index evaluation,the TOPSIS-IFP algorithm achieves higher-quality simulated images at the optimal training epoch.This approach successfully mitigates the issue of unreliable quality associated with single index evaluation.The image generation and comprehensive quality evaluation method developed in this paper provides a novel approach for image augmentation in flaw recognition,holding significant importance for enhancing the robustness of subsequent flaw recognition networks.

关键词： light alloy casting flaw detection image generator discriminator comprehensive evaluation index

A high‐voltage solid‐state Marx generator with adjustable pulse edges

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High Voltage 2023年第5期8卷 878-888页

作者： Junfeng Rao Rui Zhang Fukun Shi Longyu Zhuang Zhenyu Ji Jie Zhuang Chinese Academy of Sciences Suzhou Institute of Biomedical Engineering and TechnologySuzhouChina University of Shanghai for Science and Technology School of Mechanical EngineeringShanghaiChina Air Force Military Medical University Faculty of Biomedical EngineeringXi'anChina

Most reactors for non‐thermal plasma excitation are capacitive to pulse generators.The density and temperature of electrons in plasma are dominated by the discharging currents which are proportional to the pulse edges.However,adjusting the pulse edges is quite challenging since the switching speed and the inductance and capacitance in the discharging loops dominate them.This study proposes a drive circuit for solid‐state Marx generators with adjustable edges.The drive circuit controls the Miller plateau by adjusting the gate voltage amplitude to adjust both the rise time and fall time of pulses continuously and independently.The influence of the gate voltage on the Miller plateau and the rise time is studied.The feasibility is verified by both simulating and experimental results.An 8‐stage solid‐state Marx generator prototype was built,and 4.8‐kV pulses with a rise time in the range of 79 ns‐22.21μs were obtained over capacitive loads.Adjusting pulse edges can control the current amplitudes in dielectric barrier discharge loads.

关键词： pulse generator state

Photo-thermoelectric generator integrated in graphene-based actuator for self-powered sensing function

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Nano Research 2022年第6期15卷 5376-5383页

作者： Peidi Zhou Jian Lin Wei Zhang Zhiling Luo Luzhuo Chen Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials College of Physics and EnergyFujian Normal UniversityFuzhou 350117China Fujian Provincial Collaborative Innovation Center for Advanced High-Field Superconducting Materials and Engineering Fuzhou 350117China Fujian Provincial Engineering Technology Research Center of Solar Energy Conversion and Energy Storage Fuzhou 350117China

Smart actuators integrated with sensing functions are taking a significant role in constructing intelligent robots.However,the detection of sensing signals in most actuators requires external electrical power,lacking in the self-powered feature.Herein,we report a graphene-based light-driven actuator with self-powered sensing function,which is designed by integrating a photothermoelectric generator into the actuator intelligently.When one part of the actuator is irradiated by near-infrared light,it shows a deformation with bending curvature up to 1.5 cm^(−1),owing to the mismatch volume changes between two layers of the actuator.Meanwhile,the temperature difference across the actuator generates a voltage signal due to the photo-thermoelectric effect.The Seebeck coefficient is higher than 40μV/K.Furthermore,the self-powered voltage signal is consistent with the deformation trend,which can be used to characterize the deformation state of actuator without external electrical power.We further demonstrate a gripper and a bionic hand.Their deformations mimic the motions of human hand(or finger),even making complex gestures.Concurrently,they can output self-powered voltage signals for sensing.We hope this research will pave a new way for selfpowered devices,state-of-the-art intelligent robots,and other integrated multi-functional systems.

关键词： photo-thermoelectric effect generator light-driven actuator self-powered graphene