Generalized volumetric behaviour of refrigerants based on a new four-parameter corresponding states correlation

被引:0
|
作者
Park, K
Sonntag, RE
Borgnakke, C
机构
关键词
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The generalized volumetric behaviour of polar and non-polar refrigerants has been correlated using a new four-parameter corresponding states method. This method results in an accurate representation of the PVT surface for reduced temperatures from 0.55 to 1.62 and for reduced pressures up to 23.5, which covers almost all the range of importance for refrigerant applications. Input parameters required are critical temperature, critical pressure, the acentric factor and a pseudo-polarity factor calculated from the compressibility factor of a saturated liquid at a reduced temperature of 0.7. Three reference fluids are used to evaluate the compressibility factors. Comparison between experimental and calculated volumetric properties shows that highly accurate results are obtained by the new method for 20 polar of non-polar substances that are mainly used as working fluids in refrigeration systems and heat pumps. Average errors in the calculation of compressibility factors are 0.63, 2.24 and 0.53% for the gaseous, critical and liquid regions, respectively. Overall average error is 0.91% for the entire region studied.
引用
收藏
页码:811 / 828
页数:18
相关论文
共 50 条
  • [31] New and improved four-parameter non-linear Muskingum model
    Easa, Said M.
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2014, 167 (05) : 288 - 298
  • [32] A new four-parameter discrete distribution with bathtub and unimodal failure rate
    Nekoukhou, Vahid
    Bidram, Hamid
    JOURNAL OF APPLIED STATISTICS, 2015, 42 (12) : 2654 - 2670
  • [33] A New Four-Parameter Moment Exponential Model with Applications to Lifetime Data
    Ahmadini, Abdullah Ali H.
    Hassan, Amal S.
    Mohamed, Rokaya E.
    Alshqaq, Shokrya S.
    Nagy, Heba F.
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2021, 29 (01): : 131 - 146
  • [34] Classical and Bayesian inference for the new four-parameter Lomax distribution with applications
    Abdullah, Mahreen
    Ahsan-ul-Haq, Muhammad
    Alomair, Abdullah M.
    Alomair, Mohammed A.
    HELIYON, 2024, 10 (04)
  • [35] A new four-parameter empirical potential energy function for diatomic molecules
    Rafi, M.
    Al-Tuwirqi, Reem
    Farhan, Hanaa
    Khan, I. A.
    PRAMANA-JOURNAL OF PHYSICS, 2007, 68 (06): : 959 - 965
  • [36] Maximum Likelihood Thresholding Algorithm Based on Four-Parameter Gamma Distributions
    De-Ford, Peter
    Martinez, Geovanni
    2014 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTING SCIENCE AND AUTOMATIC CONTROL (CCE), 2014,
  • [37] GENERALIZED CORRELATION FOR PREDICTION OF GAS-DIFFUSION COEFFICIENTS BASED ON THE CORRESPONDING STATES PRINCIPLE
    BUENO, JL
    DIZY, J
    ALVAREZ, R
    COCA, J
    CHEMICAL ENGINEERING RESEARCH & DESIGN, 1990, 68 (04): : 391 - 397
  • [38] A New Anisotropic Four-Parameter Turbulence Model for Low Prandtl Number Fluids
    Barbi, Giacomo
    Giovacchini, Valentina
    Manservisi, Sandro
    FLUIDS, 2022, 7 (01)
  • [39] Discussion: New and improved four-parameter non-linear Muskingum model
    Easa, Said M.
    Barati, Reza
    Shahheydari, Hossein
    Nodoshan, Ehsan Jafari
    Barati, Tahereh
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2014, 167 (10) : 612 - 615
  • [40] Modeling Cross Correlation in Three-Moment Four-Parameter Decomposition Approximation of Queueing Networks
    Kim, Sunkyo
    OPERATIONS RESEARCH, 2011, 59 (02) : 480 - 497