You-Rong Li

Dr. You-Rong Li

School of Energy and Power Engineering, Chongqing 400044, Chongqing University, Chongqing, China

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 August 2012 in Energies
Verified
Journal Article
Open access
PDF file
HGHong Gao
Hong Gao
Chao LiuChao Liu
Chao Liu
CHChao He
Chao He
XXXiaoxiao Xu
Xiaoxiao Xu
SWShuangying Wu
Shuangying Wu
YLYou-Rong Li
You-Rong Li
The performance analysis of a supercritical organic Rankine cycle system driven by exhaust heat using 18 organic working fluids is presented. Several parameters, such as the net power output, exergy efficiency, expander size parameter (SP), and heat exchanger requirement of evaporator and the condenser, were used to evaluate the performance of this recovery cycle and screen the working fluids. The results reveal that in most cases, raising the expander inlet temperature is helpful to improve the net power output and the exergy efficiency. However, the effect of the expander inlet pressure on those parameters is related to the expander inlet temperature and working fluid used. Either lower expander inlet temperature and pressure, or higher expander inlet temperature and pressure, generally makes the net power output more. Lower expander inlet temperature results in larger total heat transfer requirement and expander size. According to the screening criteria of both the higher output and the lower investment, the following working fluids for the supercritical ORC system are recommended: R152a and R143a.

1 November 2018 in Chemical Engineering Journal
Verified
Journal Article
Closed access
BLBo Lan
Bo Lan
YLYou-Rong Li
You-Rong Li

1 November 2015 in International Journal of Heat and Mass Transfer
Verified
Journal Article
Closed access
JYJia-Jia Yu
Jia-Jia Yu
YLYou-Rong Li
You-Rong Li
CWChunmei Wu
Chunmei Wu
JCJiechao Chen
Jiechao Chen

15 June 2018 in Energies
Verified
Journal Article
Open access
PDF file
BLBo Lan
Bo Lan
YLYou-Rong Li
You-Rong Li
XZXu-Sheng Zhao
Xu-Sheng Zhao
JKJian-Dong Kang
Jian-Dong Kang
In the present work, an industrial-scale experiment on ventilation air methane (VAM) utilization by a multibed thermal flow-reversal reactor (TFRR) is conducted in China. The influence of the inlet flow rate, feed methane concentration, and cycle time on the temperature distribution of the bed and heat recovery efficiency are investigated. The methane conversion in the studied cases exceeds 97%. The results show that the methane concentration during self-maintained operation of the TFRR without heat recovery should not be less than 0.22 vol % when the inlet flow rate is 103,000 Nm3/h and the cycle time is 300 s. As the inlet flow rate decreases, the lower concentration limit of automatic thermal maintenance increases. The peak temperature of the bed approaches the inlet side as the feed methane concentration increases and the cycle time decreases. The heat recovery efficiency increases linearly with increasing inlet flow rate, rises parabolically with an increasing feed methane concentration, and decreases weakly with increasing cycle time.

31 October 2012 in Physical Review E
Verified
Journal Article
Closed access
YLYou-Rong Li
You-Rong Li
YOYu-Qing Ouyang
Yu-Qing Ouyang
YHYu-Peng Hu
Yu-Peng Hu
In order to understand the onset of convective instability and multiple stable convection patterns of buoyancy-driven convection of cold water near its density maximum in a vertical cylindrical container heated from below, a series of three-dimensional numerical simulations were performed. The aspect ratio of the container was 2 and Prandtl number of cold water was 11.57. The sidewall was considered to be perfectly adiabatic, and the density inversion parameter was fixed at 0.3. The result shows that the density inversion phenomenon in cold water has an important effect on the critical Rayleigh number for the onset of convection and the pattern formation at higher Rayleigh numbers. When the Rayleigh number varies from 3\ifmmode\times\else\texttimes\fi{}103 to 1.2\ifmmode\times\else\texttimes\fi{}105, eight stable, steady convection patterns are obtained under different initial conditions. The coexistence of multiple stable steady flow patterns is also observed within some specific ranges of the Rayleigh number.

27 November 2015 in Microgravity Science and Technology
Verified
Journal Article
Closed access
PDF file
JCJie-Chao Chen
Jie-Chao Chen
LZLi Zhang
Li Zhang
YLYou-Rong Li
You-Rong Li
JYJia-Jia Yu
Jia-Jia Yu