Numerical optimization of intake and exhaust structure and experimental verification on single-screw expander for small-scale ORC applications

Guo, Zhiyu; Zhang, Cancan; Wu, Yuting; Yan, Dong; Zhi, Ruiping; Song, Lili

doi:10.1016/j.energy.2020.117478

Cited by 23 publications

(3 citation statements)

References 24 publications

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“…Wang et al [132] pointed out that how to enhance the pressure drop effect of leakage and reduce the flow resistance loss of inlet and exhaust passages simultaneously was an important technical premise to improve the expansion ratio by structural optimization. By optimizing the intake and exhaust structure of a SSE, Guo et al [146] experimentally verified that the filling factor of the prototype was reduced from 125% to nearly 100%, and the highest shaft efficiency was increased from 56% to 67.7% at 3000 rpm. Zivinani et al [147] presented that the friction losses played a major role in the total loss of a SSE followed by suction pressure drops and leakages, based on a semi-empirical model.…”

Section: Orc Systemmentioning

confidence: 99%

A Review of Recent Research and Application Progress in Screw Machines

Wang

Liu

et al. 2022

Machines

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Screw machines, mainly including single-screw type and twin-screw type, have gone through significant development and improvement during the past decade. This paper reviews the relevant studies available in the open literature for acquiring insight into and to establish the state of the art of the research and application status of screw machines. The related research on different aspects, which would affect the performance and reliability of screw machines includes rotor profile and geometric characteristics, thermodynamic modelling, vibration and noise, lubrication and wear, control of capacity and built-in volume ratio, and liquid injection technology. In the aspect of thermodynamic modelling, the available methods, i.e., empirical or semi-empirical model, lump model, and 3D CFD model, adopted for the performance prediction and optimal design of screw machines are summarized. Then, the review covers the application status of screw machines in the fields of air compression and expansion, refrigeration and heat pump, organic Rankine cycle (ORC), and other popular applications, with an emphasis on the reported performance and progress in technologies of screw machines. Finally, conclusions and perspectives for future research in the area of screw machines are presented. The review provides readers with a good understanding of the research focus and progress in the field of screw machines.

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Section: Orc Systemmentioning

confidence: 99%

A Review of Recent Research and Application Progress in Screw Machines

Wang

Liu

et al. 2022

Machines

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“…The uncertainty ΔY of variable Y can be calculated from the uncertainty ΔX i of each measured variable X 57

italicΔY goodbreak= \sqrt{\sum_{i}^{n} {(\frac{\partial Y}{\partial X_{i}} Δ X_{i})}^{2}}

…”

Section: Descriptions Of the Orc Prototypementioning

confidence: 99%

Thermodynamic analyses and experimental investigations on the net efficiency of a small‐scale organic Rankine cycle prototype

Lei

et al. 2022

Intl J of Energy Research

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Organic Rankine cycle (ORC) is an effective technical route to achieve power generation from low-grade heat energy. In an ORC system, the working medium pump and cooling system consume much more expander power than the steam Rankine cycle. But the power self-consumptions of ORC system did not receive enough attention in public literatures. In this paper, an ORC prototype with R123 as working medium was constructed. The expander power and the power consumptions by all power-consumer equipment were measured. The net efficiency and net power of the ORC prototype achieved 5.02% and 4.4 kW, respec-

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“…R123 is selected as working fluid in this ORC experimental system. The parameter and uncertainty analysis of each main component of the system can be referred to our previous work [9][10] . The specific parameters of each pipeline are listed in Table 1.…”

Section: Experimental Description and Designmentioning

confidence: 99%