REVIEW 6 minor 61 references
Impact of hydrogen addition, up to 20 % (mol/mol), on the thermodynamic ($p$, $\rho$, $T$) properties of a reference high-calorific natural gas mixture with significant ethane and propane content
T0 review · 0 major / 6 minor · reviewed 2026-08-07 · deepseek-v4-flash
Pith's one-line read High-precision density data on ethane-rich natural gas with 10% and 20% hydrogen show that all three reference equations of state predict densities less accurately than for methane-dominant gas, deviating up to 0.44% at low temperatures…
desk verdict Solid new density data for H2-enriched high-calorific natural gas; the central EoS-degradation claim holds, with a minor compressibility inconsistency to fix. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The load-bearing instrument is a single-sinker magnetic-suspension densimeter, whose density equation combines sinker buoyancy with corrections for a force-transmission error split into an apparatus-specific factor and a fluid-specific magnetic-susceptibility term. The mixtures themselves are the other carrier of the argument: they were prepared gravimetrically under ISO 6142-1 and validated by gas chromatography, so the composition is known to roughly 0.001 to 0.005 mol% and the density deviations cannot be blamed on preparation. The three equations of state — AGA8-DC92, GERG-2008, and an improved GERG-2008 built from updated pure-fluid and binary departure functions — supply the predictions against which the measured densities are compared. The statistical engine is a set of relative-deviation metrics (AARD, BiasRD, RMSRD, MaxRD) computed at every state point.
What would settle it
Measure the same three gravimetric mixtures in a two-sinker densimeter, which compensates adsorption effects, or after repeated evacuation and flushing at 260 K and pressures from 1 to 20 MPa; if the 0.2 to 0.44% deviations persist, they are true equation-of-state errors, while if they shrink, part of the reported deviation is a sorption artifact.
Extended reading notes
Core claim
On the paper's own terms, the discovery is a documented accuracy boundary: all three reference equations of state perform worse for a high-calorific natural gas with significant ethane (9%) and propane (3%) content than for the methane-rich (>97%) gas tested in the companion study, both with and without hydrogen addition. For the hydrogen-free mixture G 432, AGA8-DC92 stays within its claimed 0.1% uncertainty except near 260 K and 2 to 10 MPa, while GERG-2008 and the improved GERG-2008 deviate up to 0.21% and 0.28%. For the 10% hydrogen mixture G 455, GERG-2008 reaches -0.44% and the improved version -0.38%; for the 20% hydrogen mixture G 456, maximum deviations are 0.28% (AGA8-DC92), 0.34% (GERG-2008), and 0.30% (improved GERG-2008). The paper concludes that equation-of-state accuracy decreases for mixtures that deviate from simple methane-rich compositions, especially at lower temperatures and higher pressures.
Load-bearing premise
The argument assumes that gas adsorption and desorption on the densimeter cell walls do not measurably change the sample composition or the measured density, especially at low pressures where the largest relative uncertainties occur.
Editorial extensions
If this is right
- For custody transfer and pipeline metering, using AGA8-DC92 or GERG-2008 on ethane-rich hydrogen-enriched gas at low temperature and high pressure can produce density errors several times larger than the models' claimed 0.1% uncertainty.
- The improved GERG-2008 does not fix the problem: on the 10% hydrogen mixture it is among the worse performers, deviating by -0.38% at 260 K near 13 MPa.
- The new data give reference-quality targets for refitting binary departure functions, particularly for methane-ethane, methane-propane, and hydrogen-heavy-hydrocarbon interactions.
- AGA8-DC92 remains the most consistent of the three models on these mixtures, but its deviations still grow with hydrogen content, from 0.15% maximum on the hydrogen-free gas to 0.28% on the 20% hydrogen gas.
Reading between the lines
- If the error scales with ethane and propane content, real grid gas (which often contains 5-15% ethane) may be systematically miscalculated; testing intermediate ethane levels would show whether the trend is monotonic.
- The nonzero low-pressure deviations suggest sorption may contaminate low-density data points; a quantitative sorption correction could shrink the apparent equation-of-state errors.
- The non-monotonic hydrogen effect (10% hydrogen worse than 20% for the GERG models) hints at cancellation between opposing binary-model errors, which could guide future parameterization of hydrogen and hydrocarbon interactions.
- Re-analyzing the cell gas composition by gas chromatography after the density runs would reveal whether adsorption or desorption altered the effective mixture, separating experimental artifacts from genuine model deficiencies.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript reports new (p, ρ, T) density measurements for a high-calorific natural gas mixture containing about 9 % ethane and 3 % propane, and for two hydrogen-enriched derivatives with nominal 10 % and 20 % hydrogen content, over the range (260–350) K and pressures up to 20 MPa, using a single-sinker magnetic suspension densimeter. The experimental densities are compared with three equations of state: AGA8-DC92, GERG-2008, and an improved GERG-2008 variant. The central finding is that all three models reproduce the densities of the methane-rich mixtures from the authors' prior work better than those of the ethane/propane-rich mixtures studied here, with maximum deviations reaching 0.44 % for GERG-2008 on the 10 % hydrogen blend. The data tables and uncertainty budgets are presented in detail, and the statistical comparison with earlier literature is systematic.
Significance. The paper provides valuable reference-quality density data for hydrogen-enriched natural gas with realistic heavier-hydrocarbon content, a topic of direct relevance to EoS validation for gas-grid decarbonization scenarios. The mixture preparation follows ISO 6142-1 with independent GC validation; the uncertainty budget (Eqs. 2–3) is detailed; complete data tables are given; and the comparison with the prior methane-rich study is quantitative. The main conclusion is robust: the largest deviations occur at high pressure and low temperature, where they exceed the stated experimental expanded uncertainty by a wide margin, so they cannot be dismissed as measurement noise or as the low-pressure sorption effect discussed in Section 4.1. The compressibility section contains an internal inconsistency (see minor comments) that does not affect the density-based central claim.
minor comments (6)
- [Section 4.1] The statement that sorption-induced deviations 'are well below the experimental uncertainty' is not backed by a quantitative estimate; the paper correctly states that the single-sinker densimeter cannot quantify this influence, so this sentence should be reworded as an explicit assumption or supported by an order-of-magnitude estimate based on the Richter and Kleinrahm analysis.
- [Section 4.2 and Table 7] The text reports MaxRD values of 1.9 %, 1.6 %, and 1.3 % for the derivative comparisons and then states that 'all deviations are located within the estimated expanded (k = 2) uncertainty of κT, Ur(κT) = 0.7 %'; since the MaxRD values exceed 0.7 %, this is internally inconsistent and needs to be corrected or rephrased.
- [Section 4.2] The sentence 'The κT values span from (0.0361 to 0.5427) MPa-1 at 250 K' appears to refer to Table 7, which starts at 260 K; the temperature should be 260 K or the table should include 250 K data.
- [Section 4.1 and Table 6] The text uses the abbreviation 'MarRD' where 'MaxRD' is meant, and in Table 6 the GERG-2008 BiasRD entry for G456 appears as '0.003 9' with an awkward line break; these should be fixed.
- [Section 3.2] The 'improved GERG-2008' is described as combining updates from references [53] and [54], but the manuscript does not state whether the calculations were performed with REFPROP 10 or a modified in-house code, nor which binary parameters were changed; a short implementation note or reference to the supplement would improve reproducibility.
- [Table 1] In the normalized composition block for G456, the rows for nitrogen, carbon dioxide, ethane, and propane appear in an order that does not match the original table; please verify that the values and uncertainties are aligned with the correct components.
Circularity Check
No significant circularity: the central EoS-accuracy claim rests on independent gravimetric density data, not on fitted or self-referential inputs.
full rationale
The measured densities are obtained from a single-sinker densimeter using Eq. (1), where all calibration parameters (sinker volume, counterweights, phi_0, and epsilon_rho) are fixed by prior calibrations rather than fitted to the present (p, rho, T) data. The EoS predictions are computed from independently gravimetrically prepared compositions, so the comparison in Tables 3-6 is a direct residual analysis with no adjustable parameter. The only EoS use within the measurement chain appears in Eq. (3), where REFPROP supplies partial derivatives for uncertainty propagation; this does not alter the measured density values and cannot force the observed residuals. The central conclusion, that all three equations of state perform worse for mixtures with significant ethane and propane content, follows from the residual statistics rather than from any defining relationship between the EoS and the data. Self-citations such as [32] and [45] provide prior calibration data and a comparison dataset, but they are fixed external inputs, not outputs of this work, and the central claim does not reduce to them. The acknowledged sorption effect is a limitation for low-pressure points, whereas the main deviations (up to -0.44%) occur at higher pressures and lower temperatures where the experimental expanded uncertainty is small, so the conclusion is not an artifact of that effect. No circular step was identified.
Assumptions & free parameters
assumptions (4)
- domain assumption Validity of force transmission error correction
- domain assumption Accuracy of gravimetric mixture preparation
- standard math Cubic spline interpolation yields reliable derivatives
- domain assumption EoS implementations in REFPROP are correct
Cite this review
Pith. "Pith review of Impact of hydrogen addition, up to 20 % (mol/mol), on the thermodynamic ($p$, $\rho$, $T$) properties of a reference high-calorific natural gas mixture with significant ethane and propane content." pith.science (2026). https://pith.science/paper/RX5HWBMZ
@misc{pith2026250601082,
author = {Pith},
title = {Pith review of: Impact of hydrogen addition, up to 20 % (mol/mol), on the thermodynamic ($p$, $\rho$, $T$) properties of a reference high-calorific natural gas mixture with significant ethane and propane content},
year = {2026},
howpublished = {\url{https://pith.science/paper/RX5HWBMZ}},
note = {Machine review of arXiv:2506.01082}
}
read the original abstract
Injecting hydrogen into the natural gas grid supports gradual decarbonization. To check the accuracy of equations of state for hydrogen-enriched natural gas mixtures, precise density data from well-characterized reference mixtures are essential. In a prior study, we provided experimental measurements for a natural gas constituted mainly of methane and for two derived hydrogen-enriched mixtures. In the present study, being the second and final part of our investigation, density measurements for a high-calorific natural gas with significant ethane and propane content, along with two hydrogen-enriched variants (10 and 20 mol-% hydrogen) are provided. The mixtures are gravimetrically prepared following ISO 6142-1. Density measurements, conducted with a single-sinker densimeter at temperatures from (260-350) K and pressures up to 20 MPa, are compared with three equations of state: AGA8-DC92, GERG-2008, and an improved GERG-2008. Results indicate that all models perform better for methane-dominant mixtures than for those containing heavier hydrocarbons.
Figures
Reference graph
Works this paper leans on
-
[32]
Lozano-Martín D, Pazoki F, Kipphardt H, Khanipour P , Tuma D, Horrillo A, Chamorro CR. Thermodynamic (p, ρ, T) characterization of a reference high-calorific NG mixture when hydrogen is added up to 20 % (mol/mol). Int J Hydrogen Energy 2024;70:118–35. https://doi.org/10.1016/j.ijhydene.2024.05.028
-
[45]
Lozano-Martín D, Mondéjar ME, Segovia JJ, Chamorro CR. Determination of the force transmission error in a single-sinker magnetic suspension densimeter due to the fluid-specific effect and its correction for use with gas mixtures containing oxygen. Measurement 2020;151:107176. https://doi.org/10.1016/j.measurement.2019.107176
-
[1]
Greening the gas network – The need for modelling the distributed injection of alternative fuels
Pellegrino S, Lanzini A, Leone P. Greening the gas network – The need for modelling the distributed injection of alternative fuels. Renew Sustain Energy Rev 2017;70:266–86. https://doi.org/10.1016/j.rser.2016.11.243
-
[2]
Nemmour A, Inayat A, Janajreh I, Ghenai C. Green hydrogen-based E-fuels (E-methane, E- methanol, E-ammonia) to support clean energy transition: A literature review. Int J Hydrogen Energy 2023;48:29011–33. https://doi.org/10.1016/j.ijhydene.2023.03.240
-
[3]
Ruiz Diaz DF, Zhao J, Ming Quamg Pham J, Ramirez C, Qin H, Jimenez AJ, Pulianda AM, Chaudhary C, McDonell V , Li GP. Mathematical modeling for hydrogen blending in NG pipelines moving towards industrial decarbonization: Economic feasibility and CO2 reduction analysis. Int J Hydrogen Energy 2024;88:1422–35. https://doi.org/10.1016/j.ijhydene.2024.09.083
-
[4]
Hydrogen Blending into NG Pipeline Infrastructure: Review of the State of Technology
Topolski K, Reznicek EP, Erdener BC, San Marchi CW, Ronevich JA, Fring L, Simmons K, Guerra Fernandez OJ, Hodge B-M, Chung M. Hydrogen Blending into NG Pipeline Infrastructure: Review of the State of Technology. Natl Renew Energy Lab NREL/TP5400-81704, Golden CO, 2022
work page 2022
-
[5]
The limitations of hydrogen blending in the European gas grid
Bard J, Gerhardt N, Selzam P, Beil M, Wiemer M BM. The limitations of hydrogen blending in the European gas grid. Fraunhofer Inst Energy Econ Energy Syst Technol (IEE), Kassel 2022
work page 2022
-
[6]
Quarton CJ, Samsatli S. Power-to-gas for injection into the gas grid: What can we learn from real- life projects, economic assessments and systems modelling? Renew Sustain Energy Rev 2018;98:302–16. https://doi.org/10.1016/j.rser.2018.09.007
Show all 61 references
-
[7]
A review of technical and regulatory limits for hydrogen blending in NG pipelines
Erdener BC, Sergi B, Guerra OJ, Lazaro Chueca A, Pambour K, Brancucci C, Hodge B-M. A review of technical and regulatory limits for hydrogen blending in NG pipelines. Int J Hydrogen Energy 2023;48:5595–617. https://doi.org/10.1016/j.ijhydene.2022.10.254
2023 doi
-
[8]
Experimental analysis and modeling on the blending limit of domestic burner with porous media for hydrogen enriched NG
Chen Y , Niu J, Liu W, Long L, Huang T, Sun Y , Wan Z, Yu B. Experimental analysis and modeling on the blending limit of domestic burner with porous media for hydrogen enriched NG. Int J Hydrogen Energy 2024;88:1321–31. https://doi.org/10.1016/j.ijhydene.2024.09.263
2024 doi
-
[9]
Recent progresses in H2NG blends use downstream Power-to-Gas policies application: An overview over the last decade
Lo Basso G, Pastore LM, Sgaramella A, Mojtahed A, de Santoli L. Recent progresses in H2NG blends use downstream Power-to-Gas policies application: An overview over the last decade. Int J Hydrogen Energy 2024; 51:424-53. https://doi.org/10.1016/j.ijhydene.2023.06.141
2024 doi
-
[10]
A Comprehensive Review on the Prospects of Using Hydrogen–Methane Blends: Challenges and Opportunities
Makaryan IA, Sedov I V ., Salgansky EA, Arutyunov A V ., Arutyunov VS. A Comprehensive Review on the Prospects of Using Hydrogen–Methane Blends: Challenges and Opportunities. Energies 2022;15:2265. https://doi.org/10.3390/en15062265
2022 doi
-
[11]
Transverse injection of rich, premixed, NG-air and NG-hydrogen-air reacting jets into high-speed vitiated crossflow at engine- relevant conditions
Rodrigues NS, McDonald CT, Busari OO, Satija A, Lucht RP. Transverse injection of rich, premixed, NG-air and NG-hydrogen-air reacting jets into high-speed vitiated crossflow at engine- relevant conditions. Int J Hydrogen Energy 2021;46:35718–38. https://doi.org/10.1016/j.ijhyd...
2021 doi
-
[12]
Hydrogen enriched NG as fuel for CHP units
Fichtner J, Gegner A, Ninow J, Kapischke J. Hydrogen enriched NG as fuel for CHP units. Int J Hydrogen Energy 2023;48:35280–90. https://doi.org/10.1016/j.ijhydene.2023.05.263
2023 doi
-
[13]
Experimental investigation of the combustion characteristics in oxy-fuel combustion of hydrogen-enriched NG on a semi- industrial scale
Schwarz S, Daurer G, Gaber C, Demuth M, Prieler R, Hochenauer C. Experimental investigation of the combustion characteristics in oxy-fuel combustion of hydrogen-enriched NG on a semi- industrial scale. Int J Hydrogen Energy 2024;49:323-37. https://doi.org/10.1016/j.ijhydene.20...
2024 doi
-
[14]
Hydrogen embrittlement in hydrogen-blended NG transportation systems: A review
Jia G, Lei M, Li M, Xu W, Li R, Lu Y , Cai M. Hydrogen embrittlement in hydrogen-blended NG transportation systems: A review. Int J Hydrogen Energy 2023;48:32137–57. https://doi.org/10.1016/j.ijhydene.2023.04.266
2023 doi
-
[15]
Wu X, Zhang H, Yang M, Jia W, Qiu Y , Lan L. From the perspective of new technology of blending hydrogen into NG pipelines transmission: Mechanism, experimental study, and suggestions for further work of hydrogen embrittlement in high-strength pipeline steels. Int J Hydrogen E...
2022 doi
-
[16]
Research and demonstration on hydrogen compatibility of pipelines: a review of current status and challenges
Wang H, Tong Z, Zhou G, Zhang C, Zhou H, Wang Y , Zheng W. Research and demonstration on hydrogen compatibility of pipelines: a review of current status and challenges. Int J Hydrogen Energy 2022;47:28585–604. https://doi.org/10.1016/j.ijhydene.2022.06.158
2022 doi
-
[17]
Industrial Requirements for Thermodynamic and Transport Properties:
Kontogeorgis GM, Dohrn R, Economou IG, de Hemptinne J-C, ten Kate A, Kuitunen S, Mooijer M, Fele Žilnik L, Vesovic V. Industrial Requirements for Thermodynamic and Transport Properties:
-
[18]
Industrial requirements for thermodynamics and transport properties
Hendriks E, Kontogeorgis GM, Dohrn R, De Hemptinne JC, Economou IG, Ẑilnik LF, Fele Žilnik L, Vesovic V. Industrial requirements for thermodynamics and transport properties. Ind Eng Chem Res 2010;49:11131–41. https://doi.org/10.1021/ie101231b
2010 doi
-
[19]
AGA Report No
Transmission Measurement Committee. AGA Report No. 8 Part 1 Thermodynamic Properties of NG and Related Gases DETAIL and GROSS Equations of State. Washington DC: 2017
2017
-
[20]
The GERG-2004 Wide-Range Equation of State for NGes and Other Mixtures
Kunz O, Klimeck R, Wagner W, Jaeschke M. The GERG-2004 Wide-Range Equation of State for NGes and Other Mixtures. Fortschritt-Berichte VDI, Düsseldorf: 2007
2004
-
[21]
The GERG-2008 Wide-Range Equation of State for NGes and Other Mixtures: An Expansion of GERG-2004
Kunz O, Wagner W. The GERG-2008 Wide-Range Equation of State for NGes and Other Mixtures: An Expansion of GERG-2004. J Chem Eng Data 2012;57:3032–91. https://doi.org/10.1021/je300655b
2008 doi
-
[22]
Thermophysical properties of hydrogen mixtures relevant for the development of the hydrogen economy: Review of available experimental data and thermodynamic models
Lozano-Martín D, Moreau A, Chamorro CR. Thermophysical properties of hydrogen mixtures relevant for the development of the hydrogen economy: Review of available experimental data and thermodynamic models. Renew Energy 2022;198:1398–429. https://doi.org/10.1016/j.renene.2022.08.096
2022 doi
-
[23]
Dew points for hydrogen-rich (hydrogen + propane) and (hydrogen + n-butane) mixtures determined with a microwave re-entrant cavity resonator
Leusmann Y , Klink S, Vega-Maza D, Richter M. Dew points for hydrogen-rich (hydrogen + propane) and (hydrogen + n-butane) mixtures determined with a microwave re-entrant cavity resonator. Fuel 2024;377:132583. https://doi.org/10.1016/j.fuel.2024.132583
2024
-
[24]
Experimental (ρ,P,T) data of H2 + CH4 mixtures at temperatures from 278 to 398 K and pressures up to 56 MPa
Owuna FJ, Chapoy A, Ahmadi P, Burgass R. Experimental (ρ,P,T) data of H2 + CH4 mixtures at temperatures from 278 to 398 K and pressures up to 56 MPa. Int J Hydrogen Energy 2024;68:979–
2024
-
[25]
Thermodynamic characterization of the (H2 + C3H8) system significant for the hydrogen economy: Experimental (p, ρ, T) determination and equation-of-state modelling
Lozano-Martín D, Khanipour P, Kipphardt H, Tuma D, Chamorro CR. Thermodynamic characterization of the (H2 + C3H8) system significant for the hydrogen economy: Experimental (p, ρ, T) determination and equation-of-state modelling. Int J Hydrogen Energy 2023;48:8645–67. https://d...
2023 doi
-
[26]
Speed of sound for three binary (CH4 + H2) mixtures from p = (0.5 up to 20) MPa at T = (273.16 to 375) K
Lozano-Martín D, Martín MC, Chamorro CR, Tuma D, Segovia JJ. Speed of sound for three binary (CH4 + H2) mixtures from p = (0.5 up to 20) MPa at T = (273.16 to 375) K. Int J Hydrogen Energy 2020;45:4765–83. https://doi.org/10.1016/j.ijhydene.2019.12.012
2020 doi
-
[27]
Hernández-Gómez R, Tuma D, Pérez E, Chamorro CR. Accurate Experimental (p , ρ, and T) Data for the Introduction of Hydrogen into the NG Grid (II): Thermodynamic Characterization of the Methane–Hydrogen Binary System from 240 to 350 K and Pressures up to 20 MPa. J Chem Eng Data...
2018 doi
-
[28]
Hernández-Gómez R, Tuma D, Gómez-Hernández A, Chamorro CR. Accurate Experimental (p , ρ, T) Data for the Introduction of Hydrogen into the NG Grid: Thermodynamic Characterization of the Nitrogen–Hydrogen Binary System from 240 to 350 K and Pressures up to 20 MPa. J Chem Eng Da...
2017 doi
-
[29]
Investigating the effect of hydrogen injection on NG thermo-physical properties with various compositions
Deymi-Dashtebayaz M, Ebrahimi-Moghadam A, Pishbin SI, Pourramezan M. Investigating the effect of hydrogen injection on NG thermo-physical properties with various compositions. Energy 2019;167:235–45. https://doi.org/10.1016/j.energy.2018.10.186
2019 doi
-
[30]
NG density measurements and the impact of accuracy on process design
Al Ghafri SZS, Jiao F, Hughes TJ, Arami-Niya A, Yang X, Siahvashi A, Karimi A, May EF. NG density measurements and the impact of accuracy on process design. Fuel 2021;304:121395. https://doi.org/10.1016/j.fuel.2021.121395
2021
-
[31]
Accurate experimental (p, ρ, T) data of NG mixtures for the assessment of reference equations of state when dealing with hydrogen-enriched NG
Hernández-Gómez R, Tuma D, Lozano-Martín D, Chamorro CR. Accurate experimental (p, ρ, T) data of NG mixtures for the assessment of reference equations of state when dealing with hydrogen-enriched NG. Int J Hydrogen Energy 2018;43:21983–98. https://doi.org/10.1016/j.ijhydene.20...
2018 doi
-
[33]
ISO 6142-1 Gas analysis — Preparation of calibration gas mixtures — Part 1: Gravimetric method for Class I mixtures
International Organization for Standardization. ISO 6142-1 Gas analysis — Preparation of calibration gas mixtures — Part 1: Gravimetric method for Class I mixtures. Genève: 2014
2014
-
[34]
ISO 12963
International Organization for Standardization, International Organization for Standardization. ISO 12963. ISO 12963. Gas analysis – Comparison methods for the determination of the composition of gas mixtures based on one- and two-point calibration. Genève: 2017
2017
-
[35]
Evaluation of measurement data — Guide to the expression of uncertainty in measurement
Joint Comitee for Guides in Metrology, JCGM100:2008, GUM1995. Evaluation of measurement data — Guide to the expression of uncertainty in measurement. JCGM 1002008 GUM 1995 with Minor Correct 2008
2008
-
[36]
NIST Standard Reference Database 23: Reference Fluid Thermodynamic and Transport Properties-REFPROP, Version 10.0
Lemmon, E.W., Bell, I.H., Huber, M.L., McLinden MO. NIST Standard Reference Database 23: Reference Fluid Thermodynamic and Transport Properties-REFPROP, Version 10.0. Natl Inst Stand Technol Stand Ref Data Progr 2018
2018
-
[37]
The NIST REFPROP Database for Highly Accurate Properties of Industrially Important Fluids Ind Eng Chem Res 2022;61:15449–72
Huber ML, Lemmon EW, Bell IH, McLinden MO. The NIST REFPROP Database for Highly Accurate Properties of Industrially Important Fluids Ind Eng Chem Res 2022;61:15449–72. https://doi.org/10.1021/acs.iecr.2c01427
2022 doi
-
[38]
Measurement and correlation of the equilibrium liquid and vapour densities and the vapour pressure along the coexistence curve of methane
Kleinrahm R, Wagner W. Measurement and correlation of the equilibrium liquid and vapour densities and the vapour pressure along the coexistence curve of methane. J Chem Thermodyn 1986;18:739–60. https://doi.org/10.1016/0021-9614(86)90108-4
1986 doi
-
[39]
Neue Magnetschwebewaagen für gravimetrische Messungen in der Verfahrenstechnik
Lösch HW, Kleinrahm R, Wagner W. Neue Magnetschwebewaagen für gravimetrische Messungen in der Verfahrenstechnik. Chem Ing Tech 1994;66:1055–8. https://doi.org/10.1002/cite.330660808
1994 doi
-
[40]
The Magnetic Suspension Balance: 40 Years of Advancing Densimetry and Sorption Science
Yang X, Kleinrahm R, McLinden MO, Richter M. The Magnetic Suspension Balance: 40 Years of Advancing Densimetry and Sorption Science. Int J Thermophys 2023;44:169. https://doi.org/10.1007/s10765-023-03269-0
2023 doi
-
[41]
Densimeters for very accurate density measurements of fluids over large ranges of temperature, pressure, and density
Wagner W, Kleinrahm R. Densimeters for very accurate density measurements of fluids over large ranges of temperature, pressure, and density. Metrologia 2004;41:S24–39. https://doi.org/10.1088/0026-1394/41/2/S03
2004 doi
-
[42]
A new, accurate single-sinker densitometer for temperatures from 233 to 523 K at pressures up to 30 MPa
Wagner W, Brachthäuser K, Kleinrahm R, Lösch HW. A new, accurate single-sinker densitometer for temperatures from 233 to 523 K at pressures up to 30 MPa. Int J Thermophys 1995;16:399–
1995
-
[43]
An accurate single-sinker densimeter and measurements of the (p, ρ, T) relation of argon and nitrogen in the temperature range from (235 to 520) K at pressures up to 30 MPa
Klimeck J, Kleinrahm R, Wagner W. An accurate single-sinker densimeter and measurements of the (p, ρ, T) relation of argon and nitrogen in the temperature range from (235 to 520) K at pressures up to 30 MPa. J Chem Thermodyn 1998;30:1571–88
1998
-
[44]
Force Transmission Errors in Magnetic Suspension Densimeters
McLinden MO, Kleinrahm R, Wagner W. Force Transmission Errors in Magnetic Suspension Densimeters. Int J Thermophys 2007;28:429–48. https://doi.org/10.1007/s10765-007-0176-0
2007 doi
-
[46]
Analysis of the systematic force-transmission error of the magnetic-suspension coupling in single-sinker densimeters and commercial gravimetric sorption analyzers
Kleinrahm R, Yang X, McLinden MO, Richter M. Analysis of the systematic force-transmission error of the magnetic-suspension coupling in single-sinker densimeters and commercial gravimetric sorption analyzers. Adsorption 2019;25:717–35. https://doi.org/10.1007/s10450-019- 00071-z
2019 doi
-
[47]
Accurate experimental (p, ρ, T) data of the (CO2 + O2) binary system for the development of models for CCS processes
Lozano-Martín D, Akubue GU, Moreau A, Tuma D, Chamorro CR. Accurate experimental (p, ρ, T) data of the (CO2 + O2) binary system for the development of models for CCS processes. J Chem Thermodyn 2020;150:106210. https://doi.org/10.1016/j.jct.2020.106210
2020
-
[48]
Thermodynamic characterization of the (CO2 + O2) binary system for the development of models for CCS processes: Accurate experimental (p, ρ, T) data and virial coefficients
Lozano-Martín D, Vega-Maza D, Martín MC, Tuma D, Chamorro CR. Thermodynamic characterization of the (CO2 + O2) binary system for the development of models for CCS processes: Accurate experimental (p, ρ, T) data and virial coefficients. J Supercrit Fluids 2021;169:105074. https...
2021
-
[49]
Chamorro CR, Segovia JJ, Martín MC, Villamañán MA, Estela-Uribe JF, Trusler JPM. Measurement of the (pressure, density, temperature) relation of two (methane+nitrogen) gas mixtures at temperatures between 240 and 400 K and pressures up to 20 MPa using an accurate single-sinker...
2006 doi
-
[50]
Improvement of the measurement uncertainty of a high accuracy single sinker densimeter via setup modifications based on a state point uncertainty analysis
Mondéjar ME, Segovia JJ, Chamorro CR. Improvement of the measurement uncertainty of a high accuracy single sinker densimeter via setup modifications based on a state point uncertainty analysis. Measurement 2011;44:1768–80. https://doi.org/10.1016/j.measurement.2011.07.012
2011 doi
-
[51]
Evaluation of measurement data: Guide to the expression of uncertainty in measurement 2008:120
Joint Committee for Guides in Metrology (JCGM). Evaluation of measurement data: Guide to the expression of uncertainty in measurement 2008:120
2008
-
[52]
ISO 20765-2 NG — Calculation of thermodynamic properties — Part 2: Single-phase properties (gas, liquid, and dense fluid) for extended ranges of application
International Organization for Standardization. ISO 20765-2 NG — Calculation of thermodynamic properties — Part 2: Single-phase properties (gas, liquid, and dense fluid) for extended ranges of application. Genève: 2013
2013
-
[53]
EOS-LNG: A Fundamental Equation of State for the Calculation of Thermodynamic Properties of Liquefied NGes
Thol M, Richter M, May EF, Lemmon EW, Span R. EOS-LNG: A Fundamental Equation of State for the Calculation of Thermodynamic Properties of Liquefied NGes. J Phys Chem Ref Data 2019;48:033102. https://doi.org/10.1063/1.5093800
2019 doi
-
[54]
New Equations of State for Binary Hydrogen Mixtures Containing Methane, Nitrogen, Carbon Monoxide, and Carbon Dioxide
Beckmüller R, Thol M, Bell IH, Lemmon EW, Span R. New Equations of State for Binary Hydrogen Mixtures Containing Methane, Nitrogen, Carbon Monoxide, and Carbon Dioxide. J Phys Chem Ref Data 2021;50:013102. https://doi.org/10.1063/5.0040533
2021 doi
-
[55]
ISO 20765-1 NG — Calculation of thermodynamic properties — Part 1: Gas phase properties for transmission and distribution applications
International Organization for Standardization. ISO 20765-1 NG — Calculation of thermodynamic properties — Part 1: Gas phase properties for transmission and distribution applications. Genève: 2005
2005
-
[56]
Density measurements of liquefied NG (LNG) over the temperature range from (105 to 135) K at pressures up to 8.9 MPa
Lentner R, Richter M, Kleinrahm R, Span R. Density measurements of liquefied NG (LNG) over the temperature range from (105 to 135) K at pressures up to 8.9 MPa. J Chem Thermodyn 2017;112:68–76. https://doi.org/10.1016/j.jct.2017.04.002
2017 doi
-
[57]
Density measurements of seven methane- rich binary mixtures over the temperature range from (100 to 180) K at pressures up to 9.7 MPa
Lentner R, Eckmann P, Kleinrahm R, Span R, Richter M. Density measurements of seven methane- rich binary mixtures over the temperature range from (100 to 180) K at pressures up to 9.7 MPa. J Chem Thermodyn 2020;142:106002. https://doi.org/10.1016/j.jct.2019.106002
2020
-
[58]
Influence of adsorption and desorption on accurate density measurements of gas mixtures
Richter M, Kleinrahm R. Influence of adsorption and desorption on accurate density measurements of gas mixtures. J Chem Thermodyn 2014;74:58–66. https://doi.org/10.1016/j.jct.2014.03.020
2014 doi
-
[97]
https://doi.org/10.1016/j.ijhydene.2024.04.244
2024 doi
-
[411]
https://doi.org/10.1007/BF01441906
-
[2020]
https://doi.org/10.1021/acs.iecr.0c05356
Ind Eng Chem Res 2021;60:4987–5013. https://doi.org/10.1021/acs.iecr.0c05356
2021 doi
Reviewed August 7, 2026 · model on record in the stance chip above.
Discussion (0). Sign in to comment.