Article
Automation & Control Systems
Mahmoud S. Abdel-Majeed, Hisham M. Eldeeb, Mohamed Y. Metwly, Ayman S. Abdel-Khalik, Mostafa S. Hamad, Ragi A. Hamdy, Shehab Ahmed
Summary: This article presents the operation of onboard integrated battery chargers tied to a nine-phase EV-drive train, focusing on the charging performance during postfault operation. The research shows that minimalistic changes from a control structure perspective are needed to ensure balanced grid currents and minimum machine losses.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Chemistry, Physical
Zheng Fang, Zijie Zhou, Minyi Yi, Zutao Zhang, Xiao Luo, Ammar Ahmed
Summary: This paper proposes an energy self-consistent system (ESCS) based on a roller-bearing-based triboelectric nanosensor to detect the running status of freight trains while providing electric energy. The ESCS effectively detects the hunting instability of freight trains and presents breakthrough possibilities in smart transportation and practical applications of the zero-energy Internet of Things.
Article
Green & Sustainable Science & Technology
G. Srinivasa Sudharsan, N. Karthikeyan, S. Arockia Edwin Xavier, T. Eswaran, S. G. Rahul
Summary: In horizontal axis wind turbines, extracting maximum power under extreme wind conditions can be challenging. The operation of the turbine in region-3 causes structural turbulence and fatigue torsional stress on the drive train. This work proposes a preview-based Hybrid Multiple Point Model Predictive Controller that optimally controls the MPPT of the wind turbine and maintains fatigue load by actively maneuvering the high-speed shaft brake.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Engineering, Electrical & Electronic
Mingfeng Shi, Xianzeng Liu, Wenbo Wei, Yongbin Liu, Fang Liu, Guoli Li
Summary: This paper proposes an Improved Linear Discriminant Analysis algorithm for diagnosing train bearing faults. The experimental results show that the fusion features extracted by the proposed method have good clustering performance and high identification rate.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yingwei Wang, Yufeng Guo, Dongrui Zhang, Huajun Liu, Rongwu Song
Summary: This study analyzes the impact of inertial control on the fatigue load of wind turbines, proposes a control strategy to mitigate the impact, and demonstrates the correctness of the method through simulation experiments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Xiao Chen, Martin A. Eder, Asm Shihavuddin, Dan Zheng
Summary: This paper introduces a novel concept for an intelligent and semi-autonomous human-cyber-physical system (HCPS) to operate future wind turbines in Industry 5.0. It emphasizes the importance of artificial intelligence in operating next-generation wind turbines and the application of digital twin technology in machine learning. Additionally, it highlights the supervisory role of human intelligence in high-level decision-making.
Review
Green & Sustainable Science & Technology
Han Peng, Songyin Li, Linjian Shangguan, Yisa Fan, Hai Zhang
Summary: Power generation from wind farms is rapidly growing globally, contributing significantly to sustainable development. However, wind turbines are prone to component damage, affecting their maintenance, reliability, and operating costs. Efficient early warning of turbine failure is crucial to prevent breakdowns, prolong turbine lifespan, and maximize revenue and efficiency. This paper focuses on outlining the main components and failure mechanisms of wind turbines, analyzing causes of equipment failure, discussing current key technologies for intelligent operation and maintenance, and summarizing challenges and future directions.
Article
Engineering, Electrical & Electronic
Jiandong Qiu, Jiajia Ran, Minan Tang, Fan Yu, Qiang Zhang
Summary: A sparse operation method is proposed to process the roadside acoustic signals, and a machine learning classifier with a GA-optimized RBFNN is used to improve the fault recognition rate. Through simulation experiments, the sparse operation and GA-RBFNN diagnosis model were proven to be very effective in diagnosing roadside acoustic train wheel pair faults.
Article
Energy & Fuels
Ran Zhang, Lianxue Gao
Summary: This study focuses on the design technology of direct drive permanent magnet synchronous wind turbine, especially the semi-direct drive permanent magnet synchronous wind turbine. The power factor of the generator is improved by adding reactive power compensation device and filter circuit. The cogging torque and resistance torque of the generator are weakened by using the closed slot scheme and T-shaped rotor pole structure. The optimal design scheme is determined through comparative analysis.
Article
Automation & Control Systems
Jichang Yang, Dong Jiang, Hongbo Sun, Jianfu Ding, An Li, Zicheng Liu
Summary: This article introduces a fault-tolerant converter with series-winding topology, which can achieve fault-tolerant operation in case of open-circuit fault and reduce the current stress of the phase leg. Experimental results demonstrate the effectiveness of the proposed topology, providing a new scheme with good performance and high reliability for the design of magnetic bearing controllers.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Mathematics
Wenliang Zhou, Sha Li, Jing Kang, Yu Huang
Summary: This study addresses the capacity-oriented train scheduling problem by considering the time-space distribution of transportation demands and the operation and maintenance of rolling stock. The proposed algorithm, which includes path search sub-algorithms and a decomposition approach based on Lagrangian relaxation, effectively manages train timetables and rolling stock operation.
Article
Automation & Control Systems
Qinmin Yang, Guanglun Liu, Yunong Bao, Qi Chen
Summary: This study proposes a data-driven fault detection method for the generator bearing of wind turbines, using an attention-based recurrent neural network to improve variable estimation performance and address the modeling challenge of complex operation states of key components in wind turbines. Additionally, a voting-based detection strategy is introduced to evaluate potential faults from different perspectives, ensuring the robustness and performance of fault detection.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Qinmin Yang, Guanglun Liu, Yunong Bao, Qi Chen
Summary: Wind turbines are vulnerable to faults due to dynamic environmental conditions, affecting the economic efficiency of wind farms, and fault detection is crucial for maintaining reliability. This study proposes a data-driven fault detection method for generator bearing using neural networks for prediction and simulation. Additionally, the study addresses challenges faced by the wind power industry and introduces an effective fault detection strategy.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Information Systems
Zhengjun Huang, Quan Liu, Yuxin Hao
Summary: In this study, an electromagnetic analysis model was established for a 4 MW wind turbine. The losses of each part of the generator under rated load and three-phase short-circuit conditions were calculated, and the cooling mode was determined using Fluent software. The magnetic-thermal-flow field coupling model of a permanent magnet synchronous direct drive wind turbine was obtained, and the temperature distribution and rise of the generator were analyzed. This study aims to provide a strong reference for analyzing the cooling and magnetic thermal flow field and a coupling analysis of direct drive wind turbines.
Article
Energy & Fuels
Reza Yazdanpanah, Abdolkarim Afroozeh, Mahdiyeh Eslami
Summary: This study presents the design of a 1 kW, 50 Hz, and 500 RPM permanent magnet generator using analytical electromagnetic fields analysis for wind power generation. Performance analysis of the designed generator is conducted through simulations using the finite element approach, confirming the design constraints and required performances.
Article
Energy & Fuels
Ram Adhikari, David Wood
Article
Engineering, Mechanical
Eric Limacher, Chris Morton, David Wood
EXPERIMENTS IN FLUIDS
(2019)
Article
Energy & Fuels
Mohamed Abdelhady, David H. Wood
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2019)
Review
Green & Sustainable Science & Technology
Abolfazl Pourrajabian, Maziar Dehghan, Adeel Javed, David Wood
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2019)
Article
Energy & Fuels
Yilan Luo, Deniz Sezer, David Wood, Mingkuan Wu, Hamid Zareipour
Article
Nanoscience & Nanotechnology
Arman Hemmati, David H. Wood, Robert J. Martinuzzi
Article
Thermodynamics
Mohamed Abdelhady, David Wood
NUMERICAL HEAT TRANSFER PART A-APPLICATIONS
(2019)
Article
Energy & Fuels
Mamdouh Abdulrahman, David Wood
Article
Thermodynamics
Seyed Reza Maadi, Meysam Khatibi, Ehsan Ebrahimnia-Bajestan, David Wood
ENERGY CONVERSION AND MANAGEMENT
(2019)
Article
Energy & Fuels
Ram Adhikari, Dawood Beyragh, Majid Pahlevani, David Wood
Article
Energy & Fuels
Paul Caicedo, David Wood, Craig Johansen
Summary: Solar chimney power plants collect heated air on the ground and use turbines near the base of a tall chimney to produce renewable electricity. Site-specific designs and variable sizes require purpose-built turbines. A new radial inflow turbine design is proposed and simulated for potential use in SCPPs, showing high power output and efficiency compared to existing designs.
Article
Energy & Fuels
Ayman Mohamed, David Wood, Jeffery Pieper
Summary: This study developed a dynamic stall model for real-time control of smart airfoils, effectively capturing the influence of dynamic stall vortices on aerodynamic loads. Experimental validation in a wind tunnel confirmed the model's predictive accuracy in both activated and deactivated trailing edge flap scenarios.
Article
Energy & Fuels
David Wood
Summary: This paper examines the impact of wake expansion on the finite blade functions in blade element/momentum theory for horizontal-axis wind turbines. It shows that the functions derived from the exact solution for the flow due to constant pitch and radius helical vortices provide accurate estimates for the axial and circumferential blade functions, even in the presence of significant wake expansion. Additionally, it highlights that the radial velocity is crucial for expanding flow and the resulting flow angle to the axial direction remains small, especially at high tip speed ratios.
Article
Chemistry, Multidisciplinary
Daniil Suslov, Ivan Litvinov, Evgeny Gorelikov, Sergey Shtork, David Wood
Summary: This article presents detailed experimental studies on the flow behind the impeller of a propeller-type microhydroturbine. It is found that the flow becomes swirled when the hydraulic turbine operating mode changes, and understanding these peculiarities can help optimize the hydraulic unit operation control range and maintain high efficiency.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Muhammad Saif Ullah Khalid, David Wood, Arman Hemmati
Summary: This study focuses on analyzing the improvements offered by dual-stage wind turbines for a range of wind velocities. It is found that adjusting the phase angles between the rotors can significantly reduce the starting time, with a phase angle of 90 degrees showing the best results. Additionally, the study reveals that stabilizing the shear layers, entrapping the vortices, and suppressing flow structures in the wake can enhance the stability and starting speed of vertical axis wind turbines.