1
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Raju D, Ramdin M, Vlugt TJH. Thermophysical Properties and Phase Behavior of CO 2 with Impurities: Insight from Molecular Simulations. JOURNAL OF CHEMICAL AND ENGINEERING DATA 2024; 69:2735-2755. [PMID: 39139986 PMCID: PMC11318637 DOI: 10.1021/acs.jced.4c00268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/19/2024] [Accepted: 07/02/2024] [Indexed: 08/15/2024]
Abstract
Experimentally determining thermophysical properties for various compositions commonly found in CO2 transportation systems is extremely challenging. To overcome this challenge, we performed Monte Carlo (MC) and Molecular Dynamics (MD) simulations of CO2 rich mixtures to compute thermophysical properties such as densities, thermal expansion coefficients, isothermal compressibilities, heat capacities, Joule-Thomson coefficients, speed of sound, and viscosities at temperatures of (235-313) K and pressures of (20-200) bar. We computed thermophysical properties of pure CO2 and CO2 rich mixtures with N2, Ar, H2, and CH4 as impurities of (1-10) mol % and showed good agreement with available Equations of State (EoS). We showed that impurities decrease the values of thermal expansion coefficients, isothermal compressibilities, heat capacities, and Joule-Thomson coefficients in the gas phase, while these values increase in the liquid and supercritical phases. In contrast, impurities increase the value of speed of sound in the gas phase and decrease it in the liquid and supercritical phases. We present an extensive data set of thermophysical properties for CO2 rich mixtures with various impurities, which will help to design the safe and efficient operation of CO2 transportation systems.
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Affiliation(s)
- D. Raju
- Engineering Thermodynamics, Process & Energy Department, Faculty of
Mechanical Engineering, Delft University of Technology,
Leeghwaterstraat 39, Delft 2628CB, The Netherlands
| | - M. Ramdin
- Engineering Thermodynamics, Process & Energy Department, Faculty of
Mechanical Engineering, Delft University of Technology,
Leeghwaterstraat 39, Delft 2628CB, The Netherlands
| | - T. J. H. Vlugt
- Engineering Thermodynamics, Process & Energy Department, Faculty of
Mechanical Engineering, Delft University of Technology,
Leeghwaterstraat 39, Delft 2628CB, The Netherlands
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2
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Kobayashi K, Firoozabadi A. Effect of Branching on Mutual Solubility of Alkane-CO 2 Systems by Molecular Simulations. J Phys Chem B 2022; 126:8300-8308. [PMID: 36197719 DOI: 10.1021/acs.jpcb.2c05774] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Mutual solubilities of hydrocarbon-CO2 systems are important in a broad range of applications. Experimental data and theoretical understanding of phase behavior of large hydrocarbon molecules and CO2 are limited. This is especially true in relation to the molecular structure of hydrocarbons when the carbon number exceeds 12. In this work, the continuous fractional component Gibbs ensemble Monte Carlo simulations are used to investigate mutual solubility of different alkane and CO2 systems and the molecular structure. We investigate the mutual solubility of n-decane, n-hexadecane, n-eicosane, and the corresponding structural isomers in the CO2-rich and hydrocarbon-rich phase. The focus will be solubility of the heavy normal alkanes and their structural isomers in CO2. The simulation results are verified by comparing the experimental data when measurements are available. The simulation of phase behavior of the n-decane-CO2 system agrees with the experiments. We also present simulation results of n-hexadecane-CO2 and n-eicosane-CO2 systems away from the critical region partly due to the finite size effect. We establish that solubility of the hydrocarbons in CO2 is improved by change of the molecular structure in heavier alkanes. The enhanced solubility is limited in decane isomers, but the isomers of hexadecane and eicosane show 2- to 3-time solubility enhancement. The molecular dynamics simulations suggest that the improvement is from a higher coordination number of CO2 for methyl (CH3) rather than for methylene (CH2) groups. This study sets the stage for molecular engineering and synthesis of hydrocarbons that are soluble in CO2 not only by considering functionality but also by changing the molecular structure. The solubility enhancement is the first step in viscosification of CO2 which broadens the use of CO2.
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Affiliation(s)
- Kazuya Kobayashi
- INPEX Corporation, Akasaka Biz Tower 5-3-1 Akasaka, Minato-ku, Tokyo107-6332, Japan.,Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas77005, United States
| | - Abbas Firoozabadi
- Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas77005, United States
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3
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Kumari B, Sarkar SK, Bandyopadhyay P. Tests of a generalized Barker-Henderson perturbation theory for the phase coexistence diagram of an anisotropic potential. Chem Phys 2022. [DOI: 10.1016/j.chemphys.2022.111533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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4
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Hens R, Rahbari A, Caro-Ortiz S, Dawass N, Erdős M, Poursaeidesfahani A, Salehi HS, Celebi AT, Ramdin M, Moultos OA, Dubbeldam D, Vlugt TJH. Brick-CFCMC: Open Source Software for Monte Carlo Simulations of Phase and Reaction Equilibria Using the Continuous Fractional Component Method. J Chem Inf Model 2020; 60:2678-2682. [PMID: 32275829 PMCID: PMC7312392 DOI: 10.1021/acs.jcim.0c00334] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Indexed: 12/02/2022]
Abstract
We present a new molecular simulation code, Brick-CFCMC, for performing Monte Carlo simulations using state-of-the-art simulation techniques. The Continuous Fractional Component (CFC) method is implemented for simulations in the NVT/NPT ensembles, the Gibbs Ensemble, the Grand-Canonical Ensemble, and the Reaction Ensemble. Molecule transfers are facilitated by the use of fractional molecules which significantly improve the efficiency of the simulations. With the CFC method, one can obtain phase equilibria and properties such as chemical potentials and partial molar enthalpies/volumes directly from a single simulation. It is possible to combine trial moves from different ensembles. This enables simulations of phase equilibria in a system where also a chemical reaction takes place. We demonstrate the applicability of our software by investigating the esterification of methanol with acetic acid in a two-phase system.
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Affiliation(s)
- Remco Hens
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Ahmadreza Rahbari
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Sebastián Caro-Ortiz
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Noura Dawass
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Máté Erdős
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Ali Poursaeidesfahani
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Hirad S. Salehi
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Alper T. Celebi
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Mahinder Ramdin
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Othonas A. Moultos
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - David Dubbeldam
- Van’t
Hoff Institute for Molecular Sciences, University
of Amsterdam, Science Park 904, 1098XH Amsterdam, The Netherlands
| | - Thijs J. H. Vlugt
- Engineering
Thermodynamics, Process & Energy Department, Faculty of Mechanical,
Maritime and Materials Engineering, Delft
University of Technology, Leeghwaterstraat 39, 2628CB Delft, The Netherlands
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5
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Kumari B, Bandyopadhyay P, Sarkar SK. Optimising the parameters of the Gibbs Ensemble Monte Carlo simulation of phase separation: the role of multiple relaxation times. MOLECULAR SIMULATION 2020. [DOI: 10.1080/08927022.2020.1754412] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Bina Kumari
- School of Physical Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Pradipta Bandyopadhyay
- School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Subir K. Sarkar
- School of Physical Sciences, Jawaharlal Nehru University, New Delhi, India
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6
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Rahbari A, Hens R, Moultos OA, Dubbeldam D, Vlugt TJH. Multiple Free Energy Calculations from Single State Point Continuous Fractional Component Monte Carlo Simulation Using Umbrella Sampling. J Chem Theory Comput 2020; 16:1757-1767. [PMID: 31999461 PMCID: PMC7066647 DOI: 10.1021/acs.jctc.9b01097] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
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We introduce an alternative method
to perform free energy calculations
for mixtures at multiple temperatures and pressures from a single
simulation, by combining umbrella sampling and the continuous fractional
component Monte Carlo method. One can perform a simulation of a mixture
at a certain pressure and temperature and accurately compute the chemical
potential at other pressures and temperatures close to the simulation
conditions. This method has the following advantages: (1) Accurate
estimates of the chemical potential as a function of pressure and
temperature are obtained from a single state simulation without additional
postprocessing. This can potentially reduce the number of simulations
of a system for free energy calculations for a specific temperature
and/or pressure range. (2) Partial molar volumes and enthalpies are
obtained directly from the estimated chemical potentials. We tested
our method for a Lennard-Jones system, aqueous mixtures of methanol
at T = 298 K and P = 1 bar, and
a mixture of ammonia, nitrogen, and hydrogen at T = 573 K and P = 800 bar. For pure methanol (N = 410 molecules), we observed that the estimated chemical
potentials from umbrella sampling are in excellent agreement with
the reference values obtained from independent simulations, for ΔT = ±15 K and ΔP = 100 bar (with
respect to the simulated system). For larger systems, this range becomes
smaller because the relative fluctuations of energy and volume become
smaller. Without sufficient overlap, the performance of the method
will become poor especially for nonlinear variations of the chemical
potential.
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Affiliation(s)
- Ahmadreza Rahbari
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Leeghwaterstraat 39, 2628 CB Delft, The Netherlands
| | - Remco Hens
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Leeghwaterstraat 39, 2628 CB Delft, The Netherlands
| | - Othonas A Moultos
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Leeghwaterstraat 39, 2628 CB Delft, The Netherlands
| | - David Dubbeldam
- Van't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Thijs J H Vlugt
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Leeghwaterstraat 39, 2628 CB Delft, The Netherlands
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7
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Rahbari A, Hens R, Dubbeldam D, Vlugt TJH. Improving the accuracy of computing chemical potentials in CFCMC simulations. Mol Phys 2019. [DOI: 10.1080/00268976.2019.1631497] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- A. Rahbari
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft, Netherlands
| | - R. Hens
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft, Netherlands
| | - D. Dubbeldam
- Van't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - T. J. H. Vlugt
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft, Netherlands
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8
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Hens R, Vlugt TJH. Molecular Simulation of Vapor-Liquid Equilibria Using the Wolf Method for Electrostatic Interactions. JOURNAL OF CHEMICAL AND ENGINEERING DATA 2018; 63:1096-1102. [PMID: 30258248 PMCID: PMC6150682 DOI: 10.1021/acs.jced.7b00839] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 11/29/2017] [Indexed: 06/08/2023]
Abstract
The applicability of the Wolf method for calculating electrostatic interactions is verified for simulating vapor-liquid equilibria of hydrogen sulfide, methanol, and carbon dioxide. Densities, chemical potentials, and critical properties are obtained with Monte Carlo simulations using the Continuous Fractional Component version of the Gibbs Ensemble. Saturated vapor pressures are obtained from NPT simulations. Excellent agreement is found between simulation results and data from literature (simulations using the Ewald summation). It is also shown how to choose the optimal parameters for the Wolf method. Even though the Wolf method requires a large simulation box in the gas phase, due to the lack of screening of electrostatics, one can consider the Wolf method as a suitable alternative to the Ewald summation in VLE calculations.
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9
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Rahbari A, Hens R, Nikolaidis IK, Poursaeidesfahani A, Ramdin M, Economou IG, Moultos OA, Dubbeldam D, Vlugt TJH. Computation of partial molar properties using continuous fractional component Monte Carlo. Mol Phys 2018. [DOI: 10.1080/00268976.2018.1451663] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- A. Rahbari
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering , Delft, The Netherlands
| | - R. Hens
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering , Delft, The Netherlands
| | - I. K. Nikolaidis
- Molecular Thermodynamics and Modeling of Materials Laboratory, National Center for Scientific Research Demokritos, Institute of Nanoscience and Nanotechnology , Attikis, Greece
| | - A. Poursaeidesfahani
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering , Delft, The Netherlands
| | - M. Ramdin
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering , Delft, The Netherlands
| | - I. G. Economou
- Molecular Thermodynamics and Modeling of Materials Laboratory, National Center for Scientific Research Demokritos, Institute of Nanoscience and Nanotechnology , Attikis, Greece
- Chemical Engineering Program, Texas A&M University at Qatar , Doha, Qatar
| | - O. A. Moultos
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering , Delft, The Netherlands
| | - D. Dubbeldam
- Van't Hoff Institute for Molecular Sciences, University of Amsterdam , Amsterdam, The Netherlands
| | - T. J. H. Vlugt
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering , Delft, The Netherlands
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10
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Rahbari A, Poursaeidesfahani A, Torres-Knoop A, Dubbeldam D, Vlugt TJH. Chemical potentials of water, methanol, carbon dioxide and hydrogen sulphide at low temperatures using continuous fractional component Gibbs ensemble Monte Carlo. MOLECULAR SIMULATION 2017. [DOI: 10.1080/08927022.2017.1391385] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Ahmadreza Rahbari
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands
| | - Ali Poursaeidesfahani
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands
| | - Ariana Torres-Knoop
- Van’t Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - David Dubbeldam
- Van’t Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
| | - Thijs J. H. Vlugt
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, The Netherlands
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11
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Yoo B, Marin-Rimoldi E, Mullen RG, Jusufi A, Maginn EJ. Discrete Fractional Component Monte Carlo Simulation Study of Dilute Nonionic Surfactants at the Air-Water Interface. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2017; 33:9793-9802. [PMID: 28845994 DOI: 10.1021/acs.langmuir.7b02058] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
We present a newly developed Monte Carlo scheme to predict bulk surfactant concentrations and surface tensions at the air-water interface for various surfactant interfacial coverages. Since the concentration regimes of these systems of interest are typically very dilute (≪10-5 mol. frac.), Monte Carlo simulations with the use of insertion/deletion moves can provide the ability to overcome finite system size limitations that often prohibit the use of modern molecular simulation techniques. In performing these simulations, we use the discrete fractional component Monte Carlo (DFCMC) method in the Gibbs ensemble framework, which allows us to separate the bulk and air-water interface into two separate boxes and efficiently swap tetraethylene glycol surfactants C10E4 between boxes. Combining this move with preferential translations, volume biased insertions, and Wang-Landau biasing vastly enhances sampling and helps overcome the classical "insertion problem", often encountered in non-lattice Monte Carlo simulations. We demonstrate that this methodology is both consistent with the original molecular thermodynamic theory (MTT) of Blankschtein and co-workers, as well as their recently modified theory (MD/MTT), which incorporates the results of surfactant infinite dilution transfer free energies and surface tension calculations obtained from molecular dynamics simulations.
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Affiliation(s)
- Brian Yoo
- Department of Chemical and Biomolecular Engineering, University of Notre Dame , 182 Fitzpatrick Hall, Notre Dame, Indiana 46556-5637, United States
| | - Eliseo Marin-Rimoldi
- Department of Chemical and Biomolecular Engineering, University of Notre Dame , 182 Fitzpatrick Hall, Notre Dame, Indiana 46556-5637, United States
| | - Ryan Gotchy Mullen
- Department of Chemical and Biomolecular Engineering, University of Notre Dame , 182 Fitzpatrick Hall, Notre Dame, Indiana 46556-5637, United States
| | - Arben Jusufi
- Corporate Strategic Research, ExxonMobil Research and Engineering Company , 1545 U.S. 22, Annandale, New Jersey 08801, United States
| | - Edward J Maginn
- Department of Chemical and Biomolecular Engineering, University of Notre Dame , 182 Fitzpatrick Hall, Notre Dame, Indiana 46556-5637, United States
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12
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Poursaeidesfahani A, Hens R, Rahbari A, Ramdin M, Dubbeldam D, Vlugt TJH. Efficient Application of Continuous Fractional Component Monte Carlo in the Reaction Ensemble. J Chem Theory Comput 2017; 13:4452-4466. [PMID: 28737933 PMCID: PMC5597954 DOI: 10.1021/acs.jctc.7b00092] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
A new formulation of the Reaction Ensemble Monte Carlo technique (RxMC) combined with the Continuous Fractional Component Monte Carlo method is presented. This method is denoted by serial Rx/CFC. The key ingredient is that fractional molecules of either reactants or reaction products are present and that chemical reactions always involve fractional molecules. Serial Rx/CFC has the following advantages compared to other approaches: (1) One directly obtains chemical potentials of all reactants and reaction products. Obtained chemical potentials can be used directly as an independent check to ensure that chemical equilibrium is achieved. (2) Independent biasing is applied to the fractional molecules of reactants and reaction products. Therefore, the efficiency of the algorithm is significantly increased, compared to the other approaches. (3) Changes in the maximum scaling parameter of intermolecular interactions can be chosen differently for reactants and reaction products. (4) The number of fractional molecules is reduced. As a proof of principle, our method is tested for Lennard-Jones systems at various pressures and for various chemical reactions. Excellent agreement was found both for average densities and equilibrium mixture compositions computed using serial Rx/CFC, RxMC/CFCMC previously introduced by Rosch and Maginn (Journal of Chemical Theory and Computation, 2011, 7, 269-279), and the conventional RxMC approach. The serial Rx/CFC approach is also tested for the reaction of ammonia synthesis at various temperatures and pressures. Excellent agreement was found between results obtained from serial Rx/CFC, experimental results from literature, and thermodynamic modeling using the Peng-Robinson equation of state. The efficiency of reaction trial moves is improved by a factor of 2 to 3 (depending on the system) compared to the RxMC/CFCMC formulation by Rosch and Maginn.
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Affiliation(s)
- Ali Poursaeidesfahani
- Engineering Thermodynamics, Process and Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology , Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Remco Hens
- Engineering Thermodynamics, Process and Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology , Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Ahmadreza Rahbari
- Engineering Thermodynamics, Process and Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology , Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - Mahinder Ramdin
- Engineering Thermodynamics, Process and Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology , Leeghwaterstraat 39, 2628CB Delft, The Netherlands
| | - David Dubbeldam
- Van't Hoff Institute for Molecular Sciences, University of Amsterdam , Science Park 904, 1098XH Amsterdam, The Netherlands
| | - Thijs J H Vlugt
- Engineering Thermodynamics, Process and Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology , Leeghwaterstraat 39, 2628CB Delft, The Netherlands
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13
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Waage MH, Vlugt TJH, Kjelstrup S. Phase Diagram of Methane and Carbon Dioxide Hydrates Computed by Monte Carlo Simulations. J Phys Chem B 2017; 121:7336-7350. [DOI: 10.1021/acs.jpcb.7b03071] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
| | - Thijs J. H. Vlugt
- Engineering Thermodynamics, Process & Energy Department, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Leeghwaterstraat 39, 2628 CB Delft, The Netherlands
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