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Numerical prediction of velocity coefficient for a radial-inflow turbine stator using R123 as working fluid

机译:R123作为工作流体的径向流入涡轮定子速度系数的数值预测

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摘要

Organic Rankine cycle (ORC) is a reliable technology for converting low-grade heat into electricity. The accurate design of its expander is the key to ensure an expected cycle efficiency. This work numerically investigates the stator velocity coefficient for the radial ORC turbine using R123 as working fluid. The effects of outlet blade angle, solidity, blade height, expansion ratio, and surface roughness, on the stator velocity coefficient are evaluated by a verified 3-D viscous numerical modeling. A modified 1-D model is also derived within a wide range of various parameters. The results show that the velocity coefficient is relatively sensitive to both blade height and surface roughness while almost independent of expansion ratio, mainly due to the high Reynolds number and the small flow boundary layer when using refrigerant vapor. Since the existing semi-empirical formula fails to well capture the velocity coefficient for the stator with rough wall, a modified model considering the surface roughness successfully resolve this issue with a maximum deviation around 3.5%. Its applicability for the stators with different stator inlet conditions (380-410 K) and working fluid (R245fa) is further explored, and the results also exhibits satisfactory accuracy. (C) 2017 Elsevier Ltd. All rights reserved.
机译:有机朗肯循环(ORC)是一种可靠的技术,用于将低级热量转换为电力。其扩展器的精确设计是确保预期循环效率的关键。这项工作用R123作为工作流体来数值研究径向逆涡轮机的定子速度系数。通过经过验证的3-D粘性数值建模,评估出口叶片角度,稳定性,叶片高度,膨胀比和表面粗糙度的效果。修改后的1-D模型也在各种参数范围内导出。结果表明,速度系数对叶片高度和表面粗糙度相对敏感,同时几乎独立于膨胀比,主要是由于使用制冷剂蒸汽时的高雷诺数和小流边界层。由于现有的半经验性公式未能利用具有粗糙壁的定子的速度系数,因此考虑到表面粗糙度的修改模型成功地解决了此问题的最大偏差约为3.5%。进一步探索其对具有不同定子入口条件(380-410K)和工作流体(R245FA)的定子的适用性,结果也表现出令人满意的精度。 (c)2017 Elsevier Ltd.保留所有权利。

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