ABSTRACT
As one of the key indicators of the Organic Rankine cycle (ORC), it is of great significance to analyze power generation effectively and directly. Different from the traditional mechanical contact ORC system and in order to reduce the influence of component friction, unstable working conditions, and other factors on power generation analysis, this paper establishes the corresponding power generation model based on the maglev vortex rotor ORC system, and uses R245fa, R123, and R601 as working fluids to carry out relevant simulation and experiments. The simulation results are in accordance with the model calculation formula, and the differences between simulation results and the reference values are less than 0.45 kW (R245fa), 0.61 kW (R601), and 0.29 kW (R123), respectively, which are in line with the theoretical power generation of the maglev rotor ORC system. Furthermore, the experimental results show that under different variable conditions, the difference between the system power generation and the net output power is less than 0.1 kW, and the corresponding RMS and standard deviation are less than 0.1 and 0.05, respectively. Therefore, the maglev rotor ORC system can effectively reduce the influence of component friction loss, and its corresponding net output power and power generation are almost equal.
Acknowledgements
The authors thanks Natural Science Foundation of China and Natural Science Foundation of Shanghai for help identifying collaborators for this work.
Disclosure statement
No potential conflict of interest was reported by the authors.
Data availability statement
Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.
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Notes on contributors
Jianxin Zou
Jianxin Zou is currently pursuing a PhD degree in the College of Science at Donghua University (College of Science, Donghua University, Shanghai, PR China). His research fields mainly include energy dynamics and organic Rankine cycle.
Shuai Du
Shuai Du is currently pursuing a PhD degree in the College of Science at Donghua University (College of Science, Donghua University, Shanghai, PR China). His research fields mainly include energy dynamics and organic Rankine cycle.
Huazheng Yang
Huazheng Yang received his master's degree from Oakland University in 2016. He is currently a lab technician for the College of Science at Donghua University (College of Science, Donghua University, Shanghai, PR China).
Ping Zhong
Ping Zhong received the bachelor’s degree in computer science from Jilin University, Jilin, China, in June 1996, and the master’s and Ph.D. degrees in optical engineering from the Chinese Academy of Sciences, Jilin, in June 2004. He is currently a Professor with Donghua University, Shanghai, China. His research fields include energy dynamics and optical metrology.