有机朗肯循环
活塞(光学)
线性同余发生器
圆柱
工作液
材料科学
机械
巴(单位)
功率(物理)
控制理论(社会学)
发电
热力学
物理
机械工程
工程类
气象学
经济
波前
管理
光学
控制(管理)
作者
Xiaochen Hou,Hongguang Zhang,Fei Yu,Hongda Liu,Fubin Yang,Yonghong Xu,Yaming Tian,Gaosheng Li
出处
期刊:Applied Energy
[Elsevier]
日期:2017-12-01
卷期号:208: 1297-1307
被引量:46
标识
DOI:10.1016/j.apenergy.2017.09.024
摘要
This study presents an experimental investigation of a free piston expander-linear generator (FPE-LG) used for organic Rankine cycle (ORC) waste heat recovery system. A FPE-LG test rig using compressed air as working fluid is established. The motion characteristics, dynamic characteristics and the indicated efficiency of FPE-LG are analyzed. The motion characteristics and power output performance for different valve timings are studied. The degree of symmetry is defined to evaluate the asymmetry motion characteristics of the free piston assembly. The coefficient of cycle-to-cycle variation (COV) is presented to evaluate the cycle-to-cycle variation characteristics of the FPE-LG. Experimental results show that the free piston assembly displacement profile is similar to a sinusoidal wave and the free piston assembly can operate at high and relatively constant speed at the middle portion of the stroke. The maximum power output of 19 W can be achieved when the intake pressure is 2.0 bar and the operation frequency is 2.5 Hz. The valve timing and intake pressure demonstrate a significant influence on the asymmetric motion and the power output performance of the FPE-LG. The indicated efficiency of the FPE (left cylinder) decreases with the increase in the intake pressure. The maximum indicated efficiency reaches 92.8% when the intake pressure is 1.4 bar and the operation frequency is 2.0 Hz. The indicated efficiency firstly increases and then decreases with the increase in the operation frequency. The COV of the FPE-LG decreases with increasing the intake pressure. The motion stability of FPE-LG improves with the increase in the intake pressure. Valve timing and valve train should be optimized in the near future.
科研通智能强力驱动
Strongly Powered by AbleSci AI