Yuntang Li, Qing Wang, Jie Jin, Cong Zhang, Yuan Chen, Francis Oppong, Xiaolu Li
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引用次数: 0
Abstract
Currently, nearly all literature discussing the performance of a micro pneumatic turbine using computational fluid dynamics (CFD) adopts either single reference frame simulation (SRFS) or multiple reference frame simulation (MRFS), with previously specified inlet pressure, outlet pressure and rotation speed. The overly constrained boundary conditions prevent the simulations from obtaining the turbine performance accurately under actual driving conditions, leading to calculation errors. This article proposes actual driving conditions simulation (ADCS) to predict the performance of a micro pneumatic turbine. In this approach, the inlet and outlet pressures are specified, while the turbine inertia moment is set according to the physical model of the turbine. SST k-ω turbulence model and dynamic grid technology are used to compute intricately time-varying flow parameters for obtaining the performance of the turbine. The results of SRFS, MRFS, ADCS and theory calculation (TC) demonstrate that the torque of a micro pneumatic turbine increases with an increase in supply pressure. The average torque calculated by ADCS is closer to that of TC compared with SRFS and MRFS. Moreover, the relative error of rotation speed between ADCS and experiments ranges from 2% to 10.9%, which is lower than that of between TC and experiments at the same working conditions.
期刊介绍:
The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics.
The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.