Article
Energy & Fuels
Vyshnavi Gogula, Belwin Edward
Summary: This paper describes the detection of high impedance faults in a solar photovoltaic (PV) and wind generator integrated power system using discrete wavelet transform and a neural network with radial basis function. The integration of solar photovoltaic and wind systems was modelled in a MATLAB/Simulink environment to create an IEEE 13-bus system. The proposed criterion algorithm and fault detection algorithm based on neural network and discrete wavelet transform were proven reliable in assessing the presence of faults in the power system, regardless of fault type, fault detection, fault initial angle, or transition resistance. The proposed method was rigorously validated through simulations in Matlab/Simulink and demonstrated successful and dependable protection against high impedance faults.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Energy & Fuels
Krishnakumar Ramasamy, Coimbatore Subramanian Ravichandran
Summary: This paper presents a hybrid control method for optimal design of hybrid renewable energy sources such as solar photovoltaic (PV)-wind energy and fuel cell (FC), aiming to improve power system reliability and reduce costs. The proposed hybrid method, named MA-RBFNN, combines the Mayfly algorithm and radial basis function neural network technique to minimize cost function and maximize power system reliability. The MA-RBFNN control scheme is trained with inputs including previous instantaneous energy of obtainable sources, required reliability, and target reference source power, to provide optimal control signal and manage energy of the RES. Finally, the MA-RBFNN method is executed in matrix laboratory/Simulink site and compared with different existing methods for performance analysis.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Automation & Control Systems
Bhaskara Rao Ravada, Narsa Reddy Tummuru, Bala Naga Lingaiah Ande
Summary: This article proposes a new dc-dc multisource converter configuration-based grid-interactive microgrid with photovoltaic, wind, and hybrid energy storage. The system includes a control structure and power sharing scheme for operation under various modes, with key highlights of low component count, voltage boosting, voltage regulation, and a simple control structure. Integration of supercapacitor in the hybrid energy storage effectively handles power fluctuations and increases battery storage lifetime.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Energy & Fuels
Ramesh Gugulothu, Bhookya Nagu, Deepak Pullaguram
Summary: This paper presents a centralized energy management strategy for a standalone DC microgrid, aiming to improve the longevity and reliability of the battery energy storage system (BESS) and reduce hydrogen intake. The proposed strategy addresses the issue of deep battery charging under low-demand conditions by using the PV system de-rating method, and controls the fuel cell power supply using a reverse sigmoidal function to improve hydrogen fuel efficiency and minimize deep battery discharge under heavy loading conditions. The centralized energy management system provides decisive commands to individual source local controllers based on load power, battery SoC, and source power information. The effectiveness of the proposed strategy is evaluated in both simulation and hardware prototype tests.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Yuecheng Song, Zhenbao Liu, Junwei Han, Wen Zhao, Ni Li
Summary: This article introduces a new control strategy for stabilizing fixed-wing aircraft in windy environments, including a new type of sliding mode control and RBF network. Experimental results show that the method performs well in various wind conditions and flying statuses.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Automation & Control Systems
Neelesh Yadav, Narsa Reddy Tummuru
Summary: In this article, a cost-effective short-circuit fault detection method is proposed for a distribution network in the ac grid-connected low-voltage dc (LVdc) microgrid. The method considers a typical dc system with multiple dc/dc, ac/dc power converters, and loads interfaced to the dc link. The discharge behavior of a filter capacitor (FC) in power converters is utilized for fault identification using a time-frequency-domain-based wavelet transform (WT) for quantitative analysis.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
Tongfeng Chen, Liang Xiao
Summary: The analytic hierarchy process is used to construct the health evaluation index system and grading standard of small- and medium-sized rivers. Two neural network models, RBF and GRNN, are constructed based on RBF and GRNN algorithms. The results show that both models have similar results in evaluating the health of rivers and have advantages in terms of convergence speed, prediction accuracy, and fewer adjustment parameters. The main rivers in Suzhou Prefecture are evaluated to be between healthy and sub-healthy, providing reference for sustainable river management and ecological environment construction.
Article
Computer Science, Interdisciplinary Applications
Hassan Abouobaida, Lais de Oliveira-Assis, Emanuel P. P. Soares-Ramos, Hassane Mahmoudi, Josep M. Guerrero, Mohsin Jamil
Summary: In this paper, a method of energy management shared with storage devices in a standalone DC microgrid is proposed. The management aims to satisfy energy demand while ensuring good regulation and stability of DC bus voltage. The method takes into account losses in static converters by calculating the effective power available on the common DC bus. The control strategy combines fuzzy logic control for extracting maximum power from photovoltaic and wind sources, and sliding mode control for controlling storage power converters. The simulation results demonstrate the validity of the proposed energy management and control strategy.
SIMULATION MODELLING PRACTICE AND THEORY
(2023)
Article
Thermodynamics
Tenghui Li, Xiaolei Liu, Zi Lin, Rory Morrison
Summary: This study proposes a novel WTPC model integrating iForest, NSFM RBFNN, and a metaheuristic algorithm. Through evaluation on four real-world datasets, NSFM RBFNN was found to outperform competitive neural network-based methods in accuracy and robustness, making it a promising tool for practical applications.
Article
Engineering, Mechanical
Xin Ma, Jian Xu, Hongbin Fang, Yang Lv, Xiaoxu Zhang
Summary: This paper proposes a new gait coordination-oriented adaptive neural sliding mode control (GC-ANSMC) for lower limb amputees using prostheses, addressing the difficulties in adapting to complex tasks. The approach combines a homotopy algorithm for trajectory generation with a radial basis function neural network for modeling uncertainties, achieving fast motion tracking and global convergence. Applications show that GC-ANSMC outperforms traditional methods in control accuracy, convergence speed, torque control, and gait coordination performance, demonstrating promising potential for adaptive control in nonlinear human-prosthesis dynamics.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Thermodynamics
Mohd Alam, Kuldeep Kumar, Viresh Dutta
Summary: This study focuses on the design and techno-economic analysis of a low voltage DC microgrid for domestic load application, with PV, FC, and battery serving as power sources. The economic study reveals that PV-battery is the most cost-effective configuration, while PV-FC-battery is a better choice for overall system reliability.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Eduardo Munoz-Palomeque, J. Enrique Sierra-Garcia, Matilde Santos
Summary: The main control goal of a wind turbine is to produce the maximum energy. Direct speed control (DSC) is one of the main techniques applied to achieve this. In this work, a speed controller with a radial basis function neural network (NN) is implemented to improve the DSC performance, resulting in better power generation and maintaining the turbine variables within the appropriate range.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Environmental Sciences
Bixia Chen, Helian Xu, Lianyue Feng
Summary: As resource shortages and environmental problems continue to arise, renewable energies are urgently needed for sustainable development. This study focuses on the photovoltaic (PV) trade, which plays a significant role in renewable energy. By analyzing bilateral PV trade data and using complex network methods and exponential random graph models (ERGM), the study constructs global PV trade networks (PVTNs) from 2000 to 2019, explores evolutionary features, and verifies the factors influencing PVTNs.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Chemistry, Analytical
Jigar Sarda, Yashrajsinh Raj, Arpita Patel, Aasheesh Shukla, Satish Kachhatiya, Mangal Sain
Summary: This study proposes a vehicle-to-grid (V2G) technology that can effectively control the frequency of a microgrid throughout a 24-hour cycle, benefiting the power system for large-scale adoption of hybrid electric vehicles. By modeling 400 electric vehicles (EVs) as a basic model, a microgrid with a 1:5 ratio of cars to households is simulated, representing a typical case in the future. Through coordinating control of various power sources and load demand regulation with V2G devices, the system frequency of the microgrid can be managed, effectively managing energy and reducing the uncertain nature of renewable energy source (RES) power generation with enhanced performance. System parameter variations have been investigated, resulting in an error confined to less than 5%.
Article
Thermodynamics
Peng Chen, Dezhi Han
Summary: This paper proposes an effective wind speed estimation method for wind turbines, which considers the variation in blade radius and reconstructs the aerodynamic mapping. The method utilizes neural network models to estimate and reconstruct wind speed, effective radius, and aerodynamic mapping, and employs LSTM neural network for real-time estimation and prediction. Experimental results demonstrate that the proposed method has high accuracy and anti-interference capability.
Article
Energy & Fuels
Ting-Chia Ou, Wei-Fu Su, Xian-Zong Liu, Shyh-Jier Huang, Te-Yu Tai
Article
Energy & Fuels
Ting-Chia Ou, Kai-Hung Lu, Chiou-Jye Huang
Article
Energy & Fuels
Ting-Chia Ou
Article
Thermodynamics
Chih-Ming Hong, Ting-Chia Ou, Kai-Hung Lu
Article
Thermodynamics
Whei-Min Lin, Chih-Ming Hong, Ting-Chia Ou, Tai-Ming Chiu
ENERGY CONVERSION AND MANAGEMENT
(2011)
Article
Automation & Control Systems
Whei-Min Lin, Chih-Ming Hong, Cong-Hui Huang, Ting-Chia Ou
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2013)
Article
Engineering, Electrical & Electronic
Shyh-Jier Huang, Xian-Zong Liu, Wei-Fu Su, Ting-Chia Ou
IEEE TRANSACTIONS ON POWER DELIVERY
(2013)
Article
Engineering, Electrical & Electronic
W. -M. Lin, T. -C. Ou
IET GENERATION TRANSMISSION & DISTRIBUTION
(2011)
Article
Engineering, Electrical & Electronic
Ting-Chia Ou
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2012)
Article
Engineering, Electrical & Electronic
Ting-Chia Ou
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2013)
Article
Computer Science, Hardware & Architecture
Yuan-Ho Chen, Chih-Wen Lu, Shian-Shing Shyu, Chung-Lin Lee, Ting-Chia Ou
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
(2014)
Proceedings Paper
Energy & Fuels
Whei-Min Lin, Chia-Sheng Tu, Ou Ting-Chia
ADVANCES IN ENERGY SCIENCE AND TECHNOLOGY, PTS 1-4
(2013)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.