Article
Thermodynamics
Qiang Wang, Kun Luo, Chunlei Wu, Zhaofan Zhu, Jianren Fan
Summary: The study shows that wind farm wake and power production are closely related to wind speed and topography, displaying different characteristics under varying geographical conditions; it suggests that wind farm layout needs to consider utilizing terrain acceleration effectively and avoiding overly dense arrangements.
Article
Mechanics
Armin Sheidani, Sajad Salavatidezfouli, Giovanni Stabile, Mostafa Barzegar Gerdroodbary, Gianluigi Rozza
Summary: In this study, the effect of icing phenomenon on the wake characteristics of a vertical-axis wind turbine (VAWT) was investigated using high-fidelity computational fluid dynamics simulation. The results showed that icing caused the leading edge vortex and trailing edge vortex to separate faster, resulting in a steeper drop in the power coefficient. The modes of the transversal component of velocity in clean and icy conditions were found to be more similar, while the modes of the streamwise component showed significant differences.
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
Thermodynamics
Hang Meng, Shuang Han, Xin Yu, Bo Gu, Li Li
Summary: Wind turbine wake affects power loss and fatigue damage, making it a key parameter in micro-sitting and layout optimization. Recent research shows that large-scale wind farms also produce wakes with significant impact on surrounding wind farms and local meteorology. While there is limited quantitative research on wind farm wake, this study conducts numerical simulations and analyzes the momentum transport to understand the behaviors of wind farm wakes.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2021)
Article
Green & Sustainable Science & Technology
W. Chanprasert, R. N. Sharma, J. E. Cater, S. E. Norris
Summary: This study investigates the influence of directionally sheared inflows on wake interaction in a four-inline turbine array using a coupled Large Eddy Simulation (LES) and turbine aeroelastic code. The results show that the lateral velocity of the ambient wind affects wake rotations, resulting in differences in radial wake expansion and wake shape twist angle. Symmetric wakes in the zero directional shear case lead to lower fatigue loads on the blades and rotor shaft compared to skewed wakes. The flapwise blade-root bending moment of downstream turbines is approximately three times higher under wind veering (Northern Hemisphere) than under wind backing (Southern Hemisphere).
Article
Green & Sustainable Science & Technology
Yubo Huang, Shuyue Lin, Xiaowei Zhao
Summary: This paper proposes a control system for a wind farm with a new type of wind turbines using multi-agent reinforcement learning. The multi-agent policy optimization algorithm allows the turbines to gradually improve their control policies, leading to increased power generation in the wind farm.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Sara Porchetta, Domingo Munoz-Esparza, Wim Munters, Jeroen van Beeck, Nicole van Lipzig
Summary: Offshore wind energy has been steadily increasing as an ideal alternative energy source. This study shows the power production and wake lengths of 1250 offshore wind turbines in the German Bight, highlighting the significant impact of waves on wind farm power production and wake lengths in the offshore wind environment.
Article
Engineering, Electrical & Electronic
Xue Lyu, Youwei Jia, Zhaoyang Dong
Summary: This study proposes a novel frequency control scheme for DFIG-based wind turbines, which takes into account the wake effect and incorporates virtual inertia control and primary frequency control. The control gains are adaptively adjusted according to wind turbine operation status for better frequency regulation performance. Extensive case studies and simulation results confirm significant improvements in frequency behavior with the proposed control scheme.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
(2021)
Article
Green & Sustainable Science & Technology
Jian Wei Lin, Wei Jun Zhu, Wen Zhong Shen
Summary: In this paper, two new analytical wake models are developed to predict the wind velocity distribution in the wake region of a wind turbine. These models are validated and compared with existing engineering wake models, showing lower relative errors and better performance. They are recommended for wind farm design.
Article
Energy & Fuels
Chunlei Wu, Kun Luo, Qiang Wang, Jianren Fan
Summary: The refined wind farm parameterization has limited impact on the flow field, but the average power generation becomes more scattered and is notably decreased by nearly 7% due to the reduced variable air density. Meanwhile, the REWS slightly increases the power estimation by around 1.1%. Both REWS and variable air density can decrease the estimation uncertainty of the average power induced by complex atmospheric stability.
Article
Energy & Fuels
Siyi Li, Mingrui Zhang, Matthew D. Piggott
Summary: This study proposes a surrogate model for wind turbine wake modelling based on a state-of-the-art graph neural network. The model operates directly on unstructured meshes and has been validated against high-fidelity data, showing its ability to accurately predict 3D flow fields. The proposed graph neural network is flexible and general, making it applicable to various computational fluid dynamics simulations.
Article
Energy & Fuels
Xuyang Li, Yingning Qiu, Yanhui Feng, Zheng Wang
Summary: Accurate power prediction of a wind turbine under wake effects is crucial for wake suppression control in wind farms. By using wind LiDAR to calculate the yaw misalignment angle and equivalent inflow wind speed, the model has achieved high accuracy in predicting power output. The proposed method provides important basis for wind farm wake control.
Article
Energy & Fuels
Dongqin Zhang, Yang Liang, Chao Li, Yiqing Xiao, Gang Hu
Summary: This study proposes and validates combined wake models for both single and multiple wind turbines, which can improve the accuracy of wind farm layout optimization.
Article
Thermodynamics
Heng-xu Liu, Yi-nong Tian, Wei-qi Liu, Ye-qing Jin, Fan-kai Kong, Hai -long Chen, Yu-guang Zhong
Summary: The downstream wind turbine operating in the wake field will face different inflow conditions from the upstream wind turbine, resulting in different aerodynamic performance. Accurate simulation of the wake field is crucial for solving the aerodynamic interference problem. The study uses the vortex filament wake model (VFWM) to investigate the aerodynamic interference of two wind turbines in various arrangements and analyzes the overall aerodynamic parameters and loads.
Article
Computer Science, Interdisciplinary Applications
Xiao-Yu Tang, Qinmin Yang, Bernhard Stoevesandt, Youxian Sun
Summary: This study investigates the optimization of wind farm layout, taking into account the coordination of turbine cooperations in the preliminary planning stage. It is found that optimizing the turbine number and layout can further improve the efficiency of a wind farm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Thermodynamics
Hualin Xiao, Kun Luo, Tai Jin, Jiangkuan Xing, Min Chai, Jianren Fan
Summary: This study investigates the influence of combustion on scaled kinetic energy transport in a swirling partially premixed flame under gas turbine conditions.
PROCEEDINGS OF THE COMBUSTION INSTITUTE
(2023)
Article
Thermodynamics
Jiangkuan Xing, Kun Luo, Ryoichi Kurose, Jianren Fan
Summary: Coal/biomass co-firing is a sustainable alternative to reduce emissions from fossil fuel utilization. An extended FPV model was developed to study the combustion characteristics of the co-firing flame, and it was found that the model could well reproduce the flame behaviors in different combustion stages.
PROCEEDINGS OF THE COMBUSTION INSTITUTE
(2023)
Article
Engineering, Chemical
Linhang Zhu, Zhongyang Zhao, Chang Liu, Wenjun Li, You Zhang, Yongxin Zhang, Chenghang Zheng, Kun Luo, Xiang Gao
Summary: This study investigates the hydrodynamics and cohesive-like characteristics of solid particles in a pseudo-2D droplet gas-solid fluidized bed using two-way coupled CFD-DEM numerical simulations. The results show that the presence of droplets leads to poorer fluidization characteristics, with increased surface tension resulting in inadequate mixing and higher liquid viscosity causing slower particle motion. The choice of contact angle is crucial for optimizing the fluidization quality, and injecting more droplets results in worse mixing, although the number of injected droplets has no significant effect on the flow pattern and particle motion.
ADVANCED POWDER TECHNOLOGY
(2023)
Article
Mechanics
Linfei Li, Tai Jin, Liyong Zou, Kun Luo, Jianren Fan
Summary: This paper numerically investigates the Richtmyer-Meshkov instability of a flat gas interface driven by perturbed and reflected shock waves. The flat gas interface evolves into a lambda-shaped structure with a central N-2 cavity and steps on both sides due to the impact of the perturbed shock wave. After the secondary collision of the reflected shock wave, the interface undergoes phase inversion and evolves into a bubble and spike structure. Three cases of different Atwood numbers are studied, comparing the collision time and position of the reflected shock wave and interface, as well as the induced spikes, bubbles, and gas mixing in detail. The formation of spikes and bubbles is related to the baroclinic vorticity highlighting the RM instability.
Article
Engineering, Chemical
Dali Kong, Shuai Wang, Kun Luo, Jianren Fan
Summary: Biomass gasification combined with CO2 absorption-enhanced reforming was numerically studied in a BFB reactor using the MP-PIC method. The effects of operating parameters on particle behaviors, bubble dynamics, and reactor performance were analyzed. A lower operating pressure improved gas-solid contact efficiency and performance, while higher temperature and S/B ratio promoted H2 generation but deteriorated gasification performance. Mixed bed material significantly improved gasification performance by enhancing H2 generation and CO2 removal.
Article
Engineering, Environmental
Dali Kong, Shuai Wang, Kun Luo, Qilong Xu, Jianren Fan
Summary: Biomass gasification combined with CO2 absorption enhanced reforming (AER) is a clean and efficient technology for H2 enrichment and CO2 removal. This study numerically investigates AER gasification in an industrial-scale DFB reactor using the multi-phase particle-in-cell (MP-PIC) framework. The effects of key operating parameters on AER gasification performance are studied, and it is found that AER gasification improves H2 concentration by 15.3% and reduces CO2 concentration by 55.8%. The study also provides recommendations for improving AER gasification performance in the DFB reactor.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Mechanics
Mengzhen Cheng, Haiou Wang, Kun Luo, Jianren Fan
Summary: In this study, the flow-flame structures and turbulence-flame interactions of a laboratory-scale lean premixed reacting jet in cross-flow were explored through direct numerical simulation. Both non-reacting and reacting cases were simulated, and it was found that the reacting jet penetrates deeper in the cross-flow with a weaker shear layer compared with the non-reacting one. The flame structure in the reacting case showed significant variations in reaction intensity in different flame zones.
JOURNAL OF FLUID MECHANICS
(2023)
Article
Engineering, Chemical
Dali Kong, Shuai Wang, Jiahui Yu, Debo Li, Kun Luo, Jianren Fan
Summary: The improvement of external-loop and in-furnace non-uniformity of a 300 MWth industrial-scale circulating fluidized bed (CFB) with multiple cyclones by a dual-side coal feeding mode was numerically quantified. The dual-side coal feeding mode showed superiority over the traditional single-side coal feeding mode in terms of final mixing degree, residence time of coal particles, solid flux characteristics, temperature range, combustion efficiency, and emissions reduction.
ADVANCED POWDER TECHNOLOGY
(2023)
Article
Biology
Jingyang Luan, Yonghui Qiao, Le Mao, Jianren Fan, Ting Zhu, Kun Luo
Summary: This study investigates the role of the aorta distal to the stent in distal stent graft-induced new entry tear (dSINE) in thoracic endovascular aortic repair (TEVAR) for type B aortic dissection (TBAD). The findings suggest that the inverted pyramid structure and increased von Mises stress in the true lumen distal to the stent may contribute to the occurrence of dSINE. The enlargement of the true lumen distal to the stent appears to be a prelude to dSINE.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Energy & Fuels
Qingqing Xue, Jiangkuan Xing, Xinzhou Tang, Kun Luo, Haiou Wang, Jianren Fan
Summary: This study aims to identify accurate and general heat release rate markers for ammonia-methane cofiring flames. Through calculations and database construction, the study successfully determined the chemical formulas that can accurately approximate the heat release rate.
Article
Energy & Fuels
Runhui Zhang, Xiaoke Ku, Jianzhong Lin, Kun Luo
Summary: This work presents the development of an efficient three-dimensional pyrolysis model for large biomass particles with arbitrary shapes. The model utilizes the composed-sphere concept and the Voronoi tessellation to account for the shrinkage of the parent particle and resolve heat transfer and porosity inside the particle. The model is validated using six different particles and pyrolysis processes, showing good agreement with experimental data, and sensitivity analyses of three different parameters are conducted. The developed model not only characterizes different-shaped particles effectively but also provides more intra-particle details during the pyrolysis of large biomass particles.
Article
Engineering, Chemical
Jiahui Yu, Shuai Wang, Kun Luo, Jianren Fan
Summary: This study develops a coupled framework by combining computational fluid dynamics (CFD) with discrete element method (DEM), and further introduces the volume-of-fluid (VOF) method for studying multiphase flow systems. A smoothing method is implemented to ensure accurate calculation of interphase and interfacial interactions. An advanced VOF-based surface-capturing method, Iso-Advector, is introduced to effectively describe interface evolution and interfacial interactions. The integrated model is verified through three benchmark cases, with good agreement between numerical results and experimental measurements, demonstrating the reliability of the model in simulating multiphase flow systems.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Engineering, Multidisciplinary
Yonghui Qiao, Jianren Fan, Kun Luo
Summary: The mechanism of energy loss in healthy aortic blood flow is explored using clinical measurements and computational modeling techniques. The primary causes of energy loss are viscous friction and aortic wall deformation. These findings can inform the development of new hemodynamic markers and clinical assessment tools for vascular wall health.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2023)
Article
Thermodynamics
Kai Liu, Kun Luo, Yuzhou Cheng, Anxiong Liu, Haochen Li, Jianren Fan, S. Balachandar
Summary: This study develops an efficient and robust surrogate modeling framework based on physics-informed neural networks (PINNs) for parameterized combustion system design and optimization. The accuracy and predictive capability of the PINNs framework are validated through numerical simulations, and the implications for engineering applications are discussed. The results demonstrate the potential of PINNs as an efficient and physics-driven approach for visualization, design, optimization, and control of parameterized combustion systems.
COMBUSTION AND FLAME
(2023)
Article
Thermodynamics
Xin Liu, Qiang Wang, Kun Luo, Yanfei Mu, Haiou Wang, Jianren Fan
Summary: The study finds that using a liquid-cooled plate and metallic phase change material can improve battery thermal management. Gallium filling significantly reduces cell temperature and improves temperature dispersion uniformity, but a higher coolant mass flow rate has less impact on cell temperature and increases system energy consumption.
APPLIED THERMAL ENGINEERING
(2024)
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.
