Composition analysis of natural gas by combined benchtop NMR spectroscopy and mechanistical multivariate regression. (November 2022)
- Record Type:
- Journal Article
- Title:
- Composition analysis of natural gas by combined benchtop NMR spectroscopy and mechanistical multivariate regression. (November 2022)
- Main Title:
- Composition analysis of natural gas by combined benchtop NMR spectroscopy and mechanistical multivariate regression
- Authors:
- Duchowny, Anton
Mohnke, Oliver
Thern, Holger
Dupuy, Pablo Matias
Widerøe, Hege Christin
Faanes, Audun
Paulsen, Anfinn
Küppers, Markus
Blümich, Bernhard
Adams, Alina - Abstract:
- Abstract: Natural gas is an essential energy source for a large variety of applications in today's society. Forecasts predict that it will also play a vital role in decarbonizing the energy sector. The price of natural gas is determined by its calorific value, which depends on its composition. Thus, the accurate composition quantification of natural gas is essential to both producers and consumers. In this context, proton Nuclear Magnetic Resonance (NMR) spectra of pure and mixed hydrocarbon gases have been studied with a desktop spectrometer in the range between 1 to 200 bar. Although spectral linewidth, chemical shift, and relaxation times depend on pressure and composition, the hydrocarbon concentrations of binary, ternary, and an eleven-component gas mixture could be quantified by spectral analysis using Spectral Hard Modeling, a mechanistical multivariate regression. Concentrations determined for the main components at 200 bar by NMR deviated by 0.1 to 0.18 mol% from Gas Chromatography values, leading to a difference in calorific values of only 0.15%. The presented results demonstrate that benchtop NMR combined with chemometrics can quantify complex hydrocarbon-gas mixtures reliably and quickly. Graphical abstract: Highlights: High-pressure setup for in situ benchtop NMR analysis up to 200 bar. Composition quantification and physical property assessment of complex gas mixtures. Mechanistical multivariate regression proved beneficial for spectral analysis. Accuracies areAbstract: Natural gas is an essential energy source for a large variety of applications in today's society. Forecasts predict that it will also play a vital role in decarbonizing the energy sector. The price of natural gas is determined by its calorific value, which depends on its composition. Thus, the accurate composition quantification of natural gas is essential to both producers and consumers. In this context, proton Nuclear Magnetic Resonance (NMR) spectra of pure and mixed hydrocarbon gases have been studied with a desktop spectrometer in the range between 1 to 200 bar. Although spectral linewidth, chemical shift, and relaxation times depend on pressure and composition, the hydrocarbon concentrations of binary, ternary, and an eleven-component gas mixture could be quantified by spectral analysis using Spectral Hard Modeling, a mechanistical multivariate regression. Concentrations determined for the main components at 200 bar by NMR deviated by 0.1 to 0.18 mol% from Gas Chromatography values, leading to a difference in calorific values of only 0.15%. The presented results demonstrate that benchtop NMR combined with chemometrics can quantify complex hydrocarbon-gas mixtures reliably and quickly. Graphical abstract: Highlights: High-pressure setup for in situ benchtop NMR analysis up to 200 bar. Composition quantification and physical property assessment of complex gas mixtures. Mechanistical multivariate regression proved beneficial for spectral analysis. Accuracies are within industrial demands and partially abide official regulations. … (more)
- Is Part Of:
- Energy reports. Volume 8(2022)
- Journal:
- Energy reports
- Issue:
- Volume 8(2022)
- Issue Display:
- Volume 8, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 8
- Issue:
- 2022
- Issue Sort Value:
- 2022-0008-2022-0000
- Page Start:
- 3661
- Page End:
- 3670
- Publication Date:
- 2022-11
- Subjects:
- Energy management -- Natural gas quantification -- Nuclear Magnetic Resonance -- High-pressure -- Indirect Hard Modeling
Power resources -- Periodicals
Energy industries -- Periodicals
Power resources
Periodicals
Electronic journals
621.04205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/23524847/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.egyr.2022.02.289 ↗
- Languages:
- English
- ISSNs:
- 2352-4847
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26111.xml