Junfu Lyu

Tsinghua University

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Hairui Yang

Nankai University

Man Zhang

Tsinghua University

Yuxin Wu

Tsinghua University

Xiwei Ke

Tsinghua University

Hai Zhang

Chengdu Women's and Children's Central Hospital

Runxia Cai

North Carolina State University

Yang Zhang

Tsinghua University

Yuge Yao

North Carolina State University

Junping Gu

China Academy of Space Technology

Guangxi Yue

Tsinghua University

Cooperative Institutions

Tsinghua University

122

University of Shanghai for Science and Technology

Chinese Academy of Sciences

East Asia School of Theology

Zhejiang University

North China Electric Power University

Xi'an Jiaotong University

Huazhong University of Science and Technology

Shanghai Jiao Tong University

Central South University

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Safety analysis on the water wall in the 350 MW supercritical CFB boiler under sudden electricity failure

Energy (2019)

Boyu Deng Man Zhang Junfu Lyu Shaohua Li Hairui Yang

Fluidized bed combustion

Boiler blowdown

10.1016/j.energy.2019.116364

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Citations (9)

Analysis and Referential Significance of a Breakdown Accident of the Main Feed Water Pump in a 350 MW Supercritical CFB Boiler

Journal of Thermal Science (2023)

Boyu Deng Man Zhang Guohua Wei Junfu Lyu Hairui Yang

Boiler feedwater pump

Fluidized bed combustion

10.1007/s11630-023-1799-6

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Citations (0)

SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting over a Large Turbine Array

Scientific Data (2024)

Jingbo Zhou Xinjiang Lu Yixiong Xiao J. R. Tang Jiantao Su

Abstract Wind power is a clean and renewable energy, yet it poses integration challenges to the grid due to its variable nature. Thus, Wind Power Forecasting (WPF) is crucial for its successful integration. However, existing WPF datasets often cover only a limited number of turbines and lack detailed information. To bridge this gap and advance WPF research, we introduce the Spatial Dynamic Wind Power Forecasting dataset (SDWPF). The SDWPF dataset not only provides information on power generation and wind speed but also details the spatial distribution of the wind turbines and dynamic contextual factors specific to each turbine. These factors include weather information and the internal status of each wind turbine, thereby enriching the dataset and improving its applicability for predictive analysis. Further leveraging the potential of SDWPF, we initiated the ACM KDD Cup 2022, a competition distinguished as the foremost annual event in data mining, renowned for presenting cutting-edge challenges and attracting top talent from academia and industry. Our event successfully draws registrations from over 2400 teams around the globe.

Wind Power Forecasting

Variable renewable energy

10.1038/s41597-024-03427-5

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Citations (2)

Utilization of the lateral accelerated cross-wind to improve the cooling performance of a natural draft dry cooling tower

Thermal Science (2019)

Weiliang Wang Junfu Lyu Hai Zhang Qing Liu Guangxi Yue

Cross-wind degrades the performance of a natural draft dry cooling tower (NDDCT). Based on the basic affecting mechanism, this paper introduces a wind collecting approach. By using a wind collecting duct, the lateral flow acceleration of cross-wind is broken up, and the lateral flow kinetic energy is utilized to increase the lateral and rearward static pressure outside the radiator inlet. By adoption of a CFD model, the effect of the wind collecting approach is investigated comprehensively. It is found that the wind collecting ducts could improve the pressure distribution around the radiator bundle, reinforce the lateral air intake, and reduce the intensity of mainstream vortices, so as to enhance the ventilation rate of a NDDCT. For an outstanding performance, the two-duct wind collecting scheme is suggested, which may assure a NDDCT working in an approximately wind free manner in all investigated cross-wind range, and increase the ventilation rate by ~63% under the high cross-wind condition, which may reduce the overall coal consumption by 23500~33500 tons annually for a 660 MW coal-fired unit. The numerical results are confirmed by a hot state modelling experiment conducted in a wind tunnel.

Natural Ventilation

Cooling tower

10.2298/tsci19s4013w

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Citations (1)

Geometry optimization for supercritical water heat transfer enhancement in non-uniformly heated rifled tubes

Applied Thermal Engineering (2021)

Junping Gu Zhouhang Li Qinggong Wang Junfu Lyu Yuxin Wu

10.1016/j.applthermaleng.2021.116566

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Citations (12)

Techno-economic evaluation of the novel hot air recirculation process for exhaust heat recovery from a 600 MW hard-coal-fired boiler