Decoupled duplex Stirling machine: Conceptual design and theoretical analysis

被引:11
|
作者
Luo, Baojun [1 ,2 ]
Zou, Peng [1 ,2 ]
Jiang, Tao [1 ,2 ]
Gao, Qun [1 ,2 ]
Liu, Jingping [1 ,2 ]
机构
[1] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
[2] Hunan Univ, Coll Mech & Vehicle Engn, Changsha 410082, Hunan, Peoples R China
关键词
Duplex Stirling; Stirling engine; Stirling cooler; Decoupling; Thermally drive heat pump; Isothermal process; HEAT-PUMP; PERFORMANCE ANALYSIS; REFRIGERATION; TECHNOLOGIES; OPTIMIZATION; LOSSES; MODEL;
D O I
10.1016/j.enconman.2020.112704
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this paper, a conceptual design of decoupled duplex Stirling machine was described. The motions of the displacers and the shared piston were decoupled by controlling the displacers and piston to be stationary at the top or bottom dead center. The overall coefficient of performance (COPoverall) of decoupled duplex Stirling machine could achieve 1.11-1.4 and 1.7-2.1 for cooling and heating respectively. In order to meet the constraint of work equality of engine and cooler at the off-design conditions, two methods of decreasing the hot temperature and increasing the dead volume were employed in the engine for adjusting engine's generated work. The COPoverall could be decreased by up to 19.4% at the off-design conditions due to the reduction of engine's thermal efficiency as a result of decreasing the hot temperature or increasing the dead volume. Furthermore, increasing dead volume could have a up to 18.6% improvement of COPoverall compared to reducing the hot temperature. Moreover, an isothermal heat exchanger was also designed for improving the COPoverall. If the additional average pressure drop of each isothermal heat exchanger was lower than 30 kPa, the COP improvement of cooler could be 10% for heating and cooling.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Dynamic Analysis and Design of the Rhombic Drive of Stirling Engine
    Zhang, Xu
    Ma, Yan
    Yang, Chun-mei
    Fu, Li
    MANUFACTURING SYSTEMS ENGINEERING, 2012, 429 : 165 - 171
  • [22] Design and Analysis of a Totally Decoupled Flexure-Based XY Parallel Micromanipulator
    Li, Yangmin
    Xu, Qingsong
    IEEE TRANSACTIONS ON ROBOTICS, 2009, 25 (03) : 645 - 657
  • [23] Analysis of Cap-sealing Performance of Stirling Engine and Optimization Design of Regression Parameter
    Yang D.
    Zhang H.
    Wang X.
    Wang F.
    Gao G.
    Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 2024, 56 (03): : 287 - 300
  • [24] Design and Analysis of a Novel Synthetic Slot Dual-PM Machine
    Guo, Xinhua
    Wang, Qiuxue
    Shang, Rongyan
    Chen, Fenyu
    Fu, Weinong
    Hua, Wei
    IEEE ACCESS, 2019, 7 : 29916 - 29923
  • [25] Design and chatter prediction analysis of a duplex face turning machine for manufacturing disk-like workpieces
    Bai, Kun
    Qin, Jialin
    Lee, Kok-Meng
    Hao, Bingjie
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2019, 140 : 12 - 19
  • [26] Machine learning approach for predicting key design parameters in UAV conceptual design
    Bajwa, Omer Iqbal
    Baluch, Haroon Awais
    Saeed, Hasan Aftab
    AIN SHAMS ENGINEERING JOURNAL, 2024, 15 (09)
  • [27] Design and theoretical analysis of virtual machine placement algorithm based on peak workload characteristics
    Lin, Weiwei
    Xu, SiYao
    Li, Jin
    Xu, Lingling
    Peng, Zhiping
    SOFT COMPUTING, 2017, 21 (05) : 1301 - 1314
  • [28] Conceptual Design of Offshore Jacket Substructures Using Machine Learning
    Qian, Han
    Bartels, Jan-Hauke
    Marx, Steffen
    SCIENCE OF MAKING TORQUE FROM WIND, TORQUE 2024, 2024, 2767
  • [29] A novel cycle engine for low-grade heat utilization: Principle, conceptual design and thermodynamic analysis
    Luo, Baojun
    Xiang, Quanwei
    Su, Xiaoxue
    Zhang, Shunfeng
    Yan, Piaopiao
    Liu, Jingping
    Li, Ruijie
    ENERGY, 2024, 301
  • [30] Design and analysis of quantum machine learning: a survey
    Chen, Linshu
    Li, Tao
    Chen, Yuxiang
    Chen, Xiaoyan
    Wozniak, Marcin
    Xiong, Neal
    Liang, Wei
    CONNECTION SCIENCE, 2024, 36 (01)