Article
Green & Sustainable Science & Technology
Peilin Wang, Qingsong Liu, Chun Li, Weipao Miao, Minnan Yue, Zifei Xu
Summary: Boundary layer suction (BLS) effectively suppresses the formation and development of separation vortices, improving the aerodynamic performance and power extraction of horizontal axis wind turbines (HAWTs).
Article
Energy & Fuels
Riyadh Belamadi, Abdelhakim Settar, Khaled Chetehouna, Adrian Ilinca
Summary: In this study, the aerodynamic characteristics of wind turbine blades under stall conditions were improved using passive flow control with slots. Computational Fluid Dynamics (CFD) analysis was used to determine the position and configuration of the slot as a flow control system. The results showed that the addition of slots delayed boundary layer separation and significantly increased the power output of the wind turbine.
Article
Engineering, Multidisciplinary
Abdelgalil Eltayesh, Francesco Castellani, Massimiliano Burlando, Magdy Bassily Hanna, A. S. Huzayyin, Hesham M. El-Batsh, Matteo Becchetti
Summary: This study investigates the impact of blade number on the power and thrust coefficients of small-scale horizontal-axis wind turbines through experimental and numerical methods. The results show that increasing the number of blades can enhance the power coefficient of the wind turbine and reduce its sensitivity to changes in tip speed ratio.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Thermodynamics
Qing'an Li, Ye Wang, Yasunari Kamada, Takao Maeda, Jianzhong Xu, Shuni Zhou, Fanghong Zhang, Chang Cai
Summary: This study investigates the diagonal inflow effect on the wake characteristics of a HAWT through field and wind tunnel experiments. It examines the wake characteristics of the HAWT under different pitch angles and wind directions, and predicts the annual power generation of the downstream wind turbine. The research provides a better understanding of wake characteristics and guidance for wind farm layout optimization.
Article
Thermodynamics
Wenliang Ke, Islam Hashem, Wenwu Zhang, Baoshan Zhu
Summary: This study found that in certain conditions, tubercles can improve the performance of wind turbines, and under specific wind speeds, tubercles can eliminate the backflow area, increasing turbine efficiency.
Article
Energy & Fuels
Shalini Verma, Akshoy Ranjan Paul, Anuj Jain
Summary: This study focuses on improving the aerodynamic performance, analysing the turbulence effect, and structural response of the horizontal axis wind turbine (HAWT) blade. Adding a winglet at the blade's tip enhances aerodynamic efficiency and increases power performance. The results indicate that turbulence intensity can significantly affect the overall performance of the wind turbine.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Marine
Heming Bai, Nina Wang, Decheng Wan
Summary: The use of horizontal axis dual-rotor wind turbine (DRWT) is a new strategy to enhance wind energy capture and improve wind farm performance. An actuator line model (ALM) and large eddy simulation (LES) were utilized to study the aerodynamic performance of the DRWT and its impact on downstream turbines in convective and neutral atmospheric boundary layers (CBL and NBL). The results showed that the power production of the front rotor of the DRWT had similar dominant vibration frequencies as the single-rotor wind turbine (SRWT), but with slightly higher amplitude. The yaw moment (Myaw) strength and dominant frequencies for the front rotor of the DRWT were comparable to the SRWT, while the blade-root out-of-plane bending moment (Moop) results differed. There were significant differences in wake development and meandering between the DRWT and the SRWT. The total power production for three turbine cases increased by 3.3% and 3% respectively under NBL and CBL when the DRWT was in the first row with a tandem spacing of 5D, and increased to 5.5% and 4.4% respectively with a tandem spacing of 9D. The stability of Myaw and Moop of the second-row turbine located 5D downstream behind the DRWT, and Moop of all turbines located behind the DRWT at three tandem spacings (5D, 7D, 9D) under CBL, was deteriorated compared to those located behind the SRWT.
Article
Thermodynamics
Mehmet Numan Kaya, Oguz Uzol, Derek Ingham, Faruk Kose, Riza Buyukzeren
Summary: This paper thoroughly investigates the aerodynamic effects of blade pitch angle on small scaled horizontal axis wind turbines using computational fluid dynamics (CFD) method. The study finds that the blade pitch angle significantly affects the power performance of the turbines, with varying effects at different tip speed ratios.
INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW
(2023)
Article
Thermodynamics
Yung-Jeh Chu, Heung-Fai Lam, Hua-Yi Peng
Summary: The study proposes a novel oblique folding mechanism design for wind turbine blades, inspired by the wings of Borneo camphor seeds, which can increase power output, starting torque, and passive yaw capability compared to traditional blade designs.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2022)
Article
Thermodynamics
Renwei Ji, Ke Sun, Jianhua Zhang, Renqing Zhu, Shuqi Wang
Summary: This paper proposes a high-accuracy and low-computational cost actuator line-immersed boundary (AL-IB) hybrid approach for the simulation of wind turbine wakes. The AL model is used for the wind turbine and the nacelle is realized using the immersed boundary method. The large eddy simulation with a localized dynamic Smagorinsky sub-grid scale model is adopted to model turbulence and improve simulation accuracy. The results show that the AL-IB hybrid approach has higher accuracy than the standard AL model and provides a feasible way for refined numerical simulation of large-scale wind farms.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Yuxia Han, Jianwen Wang, Xin Li, Kaining Jin, Bin Yang, Xueqing Dong, Caifeng Wen
Summary: This study used a time-resolved particle image velocity system to analyze the turbulence characteristics of wake flow from a horizontal-axis wind turbine, and found that turbulence intensity has a significant impact on wake structure, turbulent kinetic energy, and wake recovery speed.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Engineering, Civil
H. Jokar, R. Vatankhah, M. Mahzoon
Summary: This paper proposes an observer-based boundary control approach to control the vibration of horizontal-axis wind turbine (HAWT) blades under unknown boundary and distributed disturbances. The proposed method utilizes an actuator configuration with four active tendons to generate out-of-plane and in-plane boundary control forces. The governing equations for out-of-plane and in-plane vibrations are derived and a disturbance observer is introduced to estimate boundary disturbances. The closed-loop system is proven to be uniformly bounded and exponentially stable in the presence and absence of distributed and boundary disturbances, respectively. The performance of the closed-loop system is demonstrated through comparison of open-loop and closed-loop responses of a NREL 5 MW HAWT blade under wind shear inflow and a predefined boundary disturbance.
ENGINEERING STRUCTURES
(2023)
Article
Thermodynamics
Shengxian Huang, Huihe Qiu, Ying Wang
Summary: This study proposes a new bionic method to improve the wind energy utilization of wind turbines while strictly controlling the aerodynamic noise and load level of the blades. Two novel dolphin-inspired airfoil profiles are developed and analyzed for their aerodynamic performance and noise characteristics. Additionally, two 3D bionic blades suitable for NREL phase VI HAWT are established and compared based on their low-speed shaft torque and blade root bending moment. The research results provide valuable insights for optimizing energy efficiency and noise reduction in wind turbines.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Mechanics
Xiaodong Liu, Haiyang Xu, Bohan Wang, Yuankui Wang, Chenglong Li, Yulin Si, Peng Qian, Dahai Zhang
Summary: This paper investigates the wake characteristic of a ducted turbine using flume experiments and large eddy simulations, proposing an analytical wake model of the ducted turbine and verifying it through different inflow velocities and tandem arrangements. The results show that the wake of a ducted turbine maintains a high self-similarity and approximately follows a double-Gaussian curve. Compared with a conventional tidal turbine, a ducted turbine has a faster wake recovery speed but a larger radial influence range, indicating the need for wider radial distances and shorter axial distances in ducted turbine arrays.
Article
Engineering, Marine
Yuquan Zhang, Zhi Zhang, Jinhai Zheng, Jisheng Zhang, Yuan Zheng, Wei Zang, Xiangfeng Lin, E. Fernandez-Rodriguez
Summary: This study investigated the impact of different water depths and hub positions on the wake of a scaled turbine, revealing that the shear layer of the wake is transversally elliptical, downstream turbulence intensity transitions from trimodal to bimodal distribution, and wake rotational velocity is greater in the transversal plane than in the lateral plane.
Article
Thermodynamics
Qing'an Li, Yasunari Kamada, Takao Maeda, Junsuke Murata, Yusuke Nishida
Article
Thermodynamics
Qing'an Li, Yasunari Kamada, Takao Maeda, Junsuke Murata, Yusuke Nishida
Article
Thermodynamics
Qing'an Li, Yasunari Kamada, Takao Maeda, Junsuke Murata, Yusuke Nishida
Article
Thermodynamics
Qing'an Li, Junsuke Murata, Masayuki Endo, Takao Maeda, Yasunari Kamada
Article
Thermodynamics
Qing'an Li, Junsuke Murata, Masayuki Endo, Takao Maeda, Yasunari Kamada
Article
Thermodynamics
Qing'an Li, Takao Maeda, Yasunari Kamada, Junsuke Murata, Toshiaki Kawabata, Kento Shimizu, Tatsuhiko Ogasawara, Alisa Nakai, Takuji Kasuya
Article
Thermodynamics
Qing'an Li, Takao Maeda, Yasunari Kamada, Junsuke Murata, Kazuma Furukawa, Masayuki Yamamoto
Article
Thermodynamics
Qing'an Li, Takao Maeda, Yasunari Kamada, Naoya Mori
Article
Thermodynamics
Qing'an Li, Yasunari Kamada, Takao Maeda, Yusuke Nishida
Article
Thermodynamics
Le Quang Sang, Maeda Takao, Yasunari Kamada, Qing'an Li
Article
Thermodynamics
Qing'an Li, Takao Maeda, Yasunari Kamada, Tatsuhiko Ogasawara, Alisa Nakai, Takuji Kasuya
Article
Green & Sustainable Science & Technology
Dongran R. Song, Qingan A. Li, Zili Cai, Li Li, Jian Yang, Mei Su, Young Hoon Joo
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2019)
Article
Green & Sustainable Science & Technology
Qing'an Li, Yasunari Kamada, Takao Maeda, Keisuke Yamada
Article
Computer Science, Information Systems
Zekun Wang, Yan Jia, Chang Cai, Yinpeng Chen, Na Li, Miao Yang, Qing'an Li
Summary: The study establishes a wind-solar-battery-fuel cell integrated power supply system to optimize regional power supply. An improved genetic algorithm is used to determine the optimal device capacity configuration, showing its effectiveness in cost reduction and system performance improvement.
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.
