• Medientyp: E-Artikel
  • Titel: Density Measurements of (0.99 Methane + 0.01 Butane) and (0.98 Methane + 0.02 Isopentane) over the Temperature Range from (100 to 160) K at Pressures up to 10.8 MPa
  • Beteiligte: Eckmann, Philipp; von Preetzmann, Nils; Cavuoto, Giuseppe; Li, Jianrong; van der Veen, Adriaan; Kleinrahm, Reiner; Richter, Markus
  • Erschienen: Springer Science and Business Media LLC, 2020
  • Erschienen in: International Journal of Thermophysics
  • Sprache: Englisch
  • DOI: 10.1007/s10765-020-02728-2
  • ISSN: 0195-928X; 1572-9567
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>Densities of two methane-rich binary mixtures were measured in the homogeneous liquid and the supercritical region at temperatures between (100 and 160) K using a low-temperature single-sinker magnetic-suspension densimeter. For each mixture, four isotherms were studied over the pressure range from (0.3 to 10.8) MPa. Molar compositions of the gravimetrically prepared methane-rich binary mixtures were approximately 0.01 butane and 0.02 isopentane, respectively, with the balance being methane. The relative expanded combined uncertainty (<jats:italic>k</jats:italic> = 2) of the experimental densities was estimated to be in the range of (0.02 to 0.06) %. Due to a supercritical liquefaction procedure and the integration of a special VLE-cell, it was possible to measure densities in the homogeneous liquid phase without changing the composition of the liquefied mixture. Based on the supercritical liquefaction procedure, a new time-saving measurement procedure was developed and applied. Moreover, saturated-liquid densities were determined by extrapolation of the experimental single-phase liquid densities to the vapor pressure calculated with an equation of state (EOS); here, the relative expanded combined uncertainty (<jats:italic>k</jats:italic> = 2) is less than 0.05 % in most cases. The new experimental results were compared with the GERG-2008 equation of state, the EOS-LNG and the enhanced revised Klosek and McKinley (ERKM) method.</jats:p>