Performance Prediction of Organic Rankine Cycle: Thermodynamic Process Decoupling Based on Fluid Key Properties

被引:0
|
作者
Wang, Yong-Zhen [1 ,2 ]
An, Qing-Song [1 ]
Deng, Shuai [1 ]
Chen, Gui-Bing [1 ]
Zhao, Jun [1 ]
Luo, Chao [1 ,3 ]
机构
[1] Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Tianjin University, MOE, Tianjin,300072, China
[2] Institute of Energy Internet Innovation, Department of Electrical Engineering, Tsinghua University, Beijing,100084, China
[3] Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou,510640, China
关键词
Characteristic temperature - Numerical calculation methods - Organic Rankine Cycle(ORC) - Organic Rankine cycles - Performance prediction - Superheat degree - Thermodynamic relationships - Working fluid selections;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:490 / 496
相关论文
共 50 条
  • [1] PERFORMANCE ANALYSIS OF ORGANIC RANKINE CYCLE BASED ON PROCESS DECOUPLING AND WORKING FLUID PROPERTIES
    Han, Zhonghe
    Shen, Mingxuan
    Yang, Yilin
    Liu, Shitong
    Zhao, Wensheng
    Li, Peng
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 45 (06): : 226 - 233
  • [2] THERMODYNAMIC ANALYSIS OF ORGANIC RANKINE CYCLE (ORC) SYSTEMS BASED ON TURBINE PERFORMANCE PREDICTION
    Song, Jian
    Gu, Chun-wei
    PROCEEDINGS OF THE ASME TURBO EXPO: TURBINE TECHNICAL CONFERENCE AND EXPOSITION, 2016, VOL 3, 2016,
  • [3] On the role of working fluid properties in Organic Rankine Cycle performance
    Stijepovic, Mirko Z.
    Linke, Patrick
    Papadopoulos, Athanasios I.
    Grujic, Aleksandar S.
    APPLIED THERMAL ENGINEERING, 2012, 36 : 406 - 413
  • [4] Performance Prediction and Working Fluid Active Design of Organic Rankine Cycle Based on Molecular Structure
    Pan, Yachao
    Yang, Fubin
    Zhang, Hongguang
    Yan, Yinlian
    Yang, Anren
    Liang, Jia
    Yu, Mingzhe
    ENERGIES, 2022, 15 (21)
  • [5] Thermodynamic performance limits of the organic Rankine cycle: Working fluid parameterization based on corresponding states modeling
    Yang, Fufang
    Yang, Fubin
    Chu, Qingfu
    Liu, Qiang
    Yang, Zhen
    Duan, Yuanyuan
    ENERGY CONVERSION AND MANAGEMENT, 2020, 217
  • [6] Novel prediction method of process and system performance for organic Rankine cycle based on neural network
    Wang Y.
    Liang J.
    Luo X.
    Li Y.
    Chen J.
    Chen Y.
    Huagong Xuebao/CIESC Journal, 2019, 70 (09): : 3256 - 3266
  • [7] Analysis of the thermodynamic performance of the organic Rankine cycle (ORC) based on the characteristic parameters of the working fluid and criterion for working fluid selection
    Fan, Wei
    Han, Zhonghe
    Li, Peng
    Jia, Yalei
    ENERGY CONVERSION AND MANAGEMENT, 2020, 211 (211)
  • [8] Identification of key affecting parameters of zeotropic working fluid on subcritical organic Rankine cycle according limiting thermodynamic cycle
    Xu, Weicong
    Deng, Shuai
    Zhao, Li
    Zhao, Dongpeng
    Chen, Ruihua
    ENERGY CONVERSION AND MANAGEMENT, 2019, 197
  • [9] Improved correlations for working fluid properties prediction and their application in performance evaluation of sub-critical Organic Rankine Cycle
    Luo, Xianglong
    Wang, Yupeng
    Liang, Junwei
    Qi, Ji
    Su, Wen
    Yang, Zhi
    Chen, Jianyong
    Wang, Chao
    Chen, Ying
    ENERGY, 2019, 174 : 122 - 137
  • [10] Thermodynamic efficiency of trilateral flash cycle, organic Rankine cycle and partially evaporated organic Rankine cycle
    Daniarta, Sindu
    Kolasiński, Piotr
    Imre, Attila R.
    Energy Conversion and Management, 2021, 249