Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Joule-Thomson Effect01:21

Joule-Thomson Effect

6.8K
The Joule-Thomson effect, also known as the Joule-Kelvin effect, describes the temperature change of a fluid when it is forced through a valve or porous plug while keeping it in a thermally insulated environment. This experiment is called a throttling process. This is an important effect widely used in refrigeration and the liquefaction of gases.
This experiment forces high-pressure gas through a throttle valve or a porous plug to a lower-pressure region. The gas expands as it passes through to...
6.8K
Adiabatic Processes for an Ideal Gas01:18

Adiabatic Processes for an Ideal Gas

3.5K
When an ideal gas is compressed adiabatically, that is, without adding heat, work is done on it, and its temperature increases. In an adiabatic expansion, the gas does work, and its temperature drops. Adiabatic compressions actually occur in the cylinders of a car, where the compressions of the gas-air mixture take place so quickly that there is no time for the mixture to exchange heat with its environment. Nevertheless, because work is done on the mixture during the compression, its...
3.5K
Thermodynamics: Activity Coefficient01:24

Thermodynamics: Activity Coefficient

2.3K
Activity is the measure of the effective concentration of the species in solution. It can be expressed as the product of the molar concentration of the species and its activity coefficient. The activity coefficient is a dimensionless quantity and depends on the total ionic strength of the solution.
The activity coefficient is a measure of the deviation from ideal behavior. When the ionic strength of the solution is minimal, the activity coefficient of an ionic species is close to unity, making...
2.3K
Clausius-Clapeyron Equation02:35

Clausius-Clapeyron Equation

60.8K
The equilibrium between a liquid and its vapor depends on the temperature of the system; a rise in temperature causes a corresponding rise in the vapor pressure of its liquid. The Clausius-Clapeyron equation gives the quantitative relation between a substance’s vapor pressure (P) and its temperature (T); it predicts the rate at which vapor pressure increases per unit increase in temperature.
60.8K
Pressure and Volume in an Adiabatic Process01:27

Pressure and Volume in an Adiabatic Process

3.1K
Free expansion of a gas is an adiabatic process. However, there are few differences between free expansion and adiabatic expansion. During free expansion, no work is done, and there is no change in internal energy. But, for an adiabatic expansion, work is done, and there is a change in internal energy. During an adiabatic process, the relation between the pressure and volume is obtained from the condition for the adiabatic process, that is,
3.1K
Heat Capacities of an Ideal Gas II01:23

Heat Capacities of an Ideal Gas II

2.8K
For a system that undergoes a thermodynamic process at a constant volume condition, the heat absorbed is used only to increase the system's internal energy and not for doing any kind of work. While for a system undergoing a thermodynamic process under a constant pressure condition, the amount of heat absorbed is used not only for increasing the internal energy (as a function of temperature) but also for doing some work. The molar heat capacity is the amount of heat required to increase the...
2.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Tracking of volatile organic compound emissions from unsaturated polyester resin-based artificial stone using automated static headspace-gas chromatography-mass spectrometry.

Journal of chromatography. A·2026
Same author

Selective Hydrogenation of Quercetin to Dihydroquercetin Using a Carbon Nanotube-Supported Non-Noble Nickel Catalyst.

ACS omega·2026
Same author

Tracking Browning mechanistic pathway of postharvest pine resin using comparative metabolomics.

Food chemistry·2025
Same author

Senior midwives' perspectives on the transition experience of newly graduated undergraduate midwives in China: a qualitative study.

BMC medical education·2025
Same author

Ultrasound-assisted extraction of polyphenols from pine needles (Pinus elliottii): Comprehensive insights from RSM optimization, antioxidant activity, UHPLC-Q-Exactive Orbitrap MS/MS analysis and kinetic model.

Ultrasonics sonochemistry·2024
Same author

Experimental Study on Bubble Dynamics and Mass Transfer Characteristics of Coaxial Bubbles in Petroleum-Based Liquids.

ACS omega·2023

Related Experiment Video

Updated: Nov 8, 2025

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
10:29

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames

Published on: June 1, 2016

12.1K

Joule-Thomson Effect on a CCS-Relevant (CO2 + N2) System.

Ming Gao1, Linlin Wang1, Xiaopeng Chen1

  • 1School of Chemistry and Chemical Engineering, Guangxi Key Laboratory of Petrochemical Resources Processing and Process Intensification Technology, Guangxi University, Nanning 53004, P. R. China.

ACS Omega
|April 19, 2021
PubMed
Summary

This study measured the Joule-Thomson effect in CO2 and N2 mixtures for carbon capture. GERG-2008 and AGA8-92DC equations accurately predicted the Joule-Thomson coefficient and inversion curves for these mixtures.

More Related Videos

High-pressure Sapphire Cell for Phase Equilibria Measurements of CO2/Organic/Water Systems
05:46

High-pressure Sapphire Cell for Phase Equilibria Measurements of CO2/Organic/Water Systems

Published on: January 24, 2014

13.6K
Cryogenic Liquid Jets for High Repetition Rate Discovery Science
08:34

Cryogenic Liquid Jets for High Repetition Rate Discovery Science

Published on: May 9, 2020

3.2K

Related Experiment Videos

Last Updated: Nov 8, 2025

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
10:29

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames

Published on: June 1, 2016

12.1K
High-pressure Sapphire Cell for Phase Equilibria Measurements of CO2/Organic/Water Systems
05:46

High-pressure Sapphire Cell for Phase Equilibria Measurements of CO2/Organic/Water Systems

Published on: January 24, 2014

13.6K
Cryogenic Liquid Jets for High Repetition Rate Discovery Science
08:34

Cryogenic Liquid Jets for High Repetition Rate Discovery Science

Published on: May 9, 2020

3.2K

Area of Science:

  • Chemical Thermodynamics
  • Thermodynamic Properties of Fluids
  • Carbon Capture and Storage (CCS)

Background:

  • The Joule-Thomson effect is crucial for industrial applications like CO2 capture and storage (CCS).
  • Accurate thermodynamic data is essential for designing efficient CCS processes.

Purpose of the Study:

  • To experimentally determine the Joule-Thomson coefficient (μJT) for CO2 + N2 mixtures.
  • To evaluate the predictive accuracy of GERG-2008, AGA8-92DC, and Peng-Robinson equations of state for μJT and Joule-Thomson inversion curves (JTIC).

Main Methods:

  • Designed and constructed a specialized apparatus for Joule-Thomson effect measurements.
  • Conducted experiments on CO2 + N2 binary mixtures at temperatures from 298.15 to 423.15 K and pressures up to 14 MPa.
  • Compared experimental μJT data and JTIC with predictions from GERG-2008, AGA8-92DC, and Peng-Robinson equations of state.

Main Results:

  • Experimental μJT data for CO2 + N2 mixtures were obtained.
  • GERG-2008 and AGA8-92DC equations showed good prediction of μJT, with deviations within ±2.5% and ±3%, respectively.
  • GERG-2008 and AGA8-92DC accurately predicted JTICs for pure components and mixtures, while Peng-Robinson showed limitations for pure CO2.

Conclusions:

  • GERG-2008 and AGA8-92DC equations are suitable for modeling the Joule-Thomson behavior of CO2 + N2 mixtures relevant to CCS.
  • The operating conditions in CCS are well below the inversion limits for these mixtures, indicating stable operation.
  • Accurate thermodynamic data and validated equations of state are vital for the safe and efficient implementation of CCS technologies.