...
首页> 外文期刊>Applied thermal engineering: Design, processes, equipment, economics >Parametric analysis of organic Rankine cycle based on a radial turbine for low-grade waste heat recovery
【24h】

Parametric analysis of organic Rankine cycle based on a radial turbine for low-grade waste heat recovery

机译:基于径向汽轮机的径向汽轮机的有机朗肯循环的参数分析

获取原文
获取原文并翻译 | 示例
           

摘要

Organic Rankine cycle (ORC) is one of the promising technologies to convert low-grade waste heat into electricity. This study comprehensively investigates the thermodynamic performance of ORC system and the aerodynamic characteristics of radial turbine. An optimized coupling model for the ORC with a radial turbine is developed, and the particle swarm optimization algorithm is applied to maximize the turbine efficiency dynamically. The model is used to evaluate the effect of heat source temperature on the cycle performance and parameter selection for turbine design optimization. The results show that optimal turbine efficiency can be achieved within the considered heat source outlet temperature range, as high pressure ratio and high mass flow rate can both degrade the turbine efficiency. Among the four studied organic fluids, the ORCs using R123 and R245fa can achieve desirable cycle performances. For the turbine design, lower degree of reaction is beneficial for turbine efficiency gains. The optimized rotational speed and ratio of wheel diameter are dependent on heat source temperature, while which has almost no effects on velocity ratio, loading coefficient, and flow coefficient. The reasonable ranges of partial turbine design parameters are also proposed in this work. (C) 2017 Elsevier Ltd. All rights reserved.
机译:有机朗肯循环(ORC)是将低级废热转化为电力的有希望的技术之一。本研究全面研究了兽人系统的热力学性能和径向涡轮机的空气动力学特性。开发了具有径向涡轮机的ORC的优化耦合模型,施加粒子群优化算法以动态地最大化涡轮效率。该模型用于评估热源温度对涡轮机设计优化的循环性能和参数选择的影响。结果表明,在考虑的热源出口温度范围内可以实现最佳的涡轮机效率,因为高压比和高质量流量既可以降低涡轮机效率。在四个研究的有机液中,使用R123和R245FA的兽人可以实现所需的循环性能。对于涡轮机设计,较低的反应是有利于涡轮机效率的增益。优化的转速和车轮直径的比率取决于热源温度,而这几乎没有对速度比,装载系数和流量系数的影响。在这项工作中还提出了部分涡轮设计参数的合理范围。 (c)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号