Application of a DSC based vapor pressure method for examining the extent of ideality in associating binary mixtures with narrow boiling range oil cuts as a mixture component

Siitsman, Carmen; Oja, Vahur

doi:10.1016/j.tca.2016.05.011

Cited by 9 publications

(9 citation statements)

References 31 publications

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“…The experimental procedure was thoroughly described in earlier articles from our research group by Siitsman et al ,, …”

Section: Methodsmentioning

confidence: 99%

“…Procedures. The experimental procedure was thoroughly described in earlier articles from our research group by Siitsman et al 19,28,29 The sample mass was weighed on a microanalytical balance (Sartorius Cubis Micro Balances 6.6S) with ±0.001 mg precision. For the measurements, a sample mass between 1 and 4 mg (or 1−4 μL) was used for experiments above 5 kPa, while a mass of 4−9 mg (or 4−9 μL) was used for experiments below 5 kPa to prevent mass depletion during preboiling.…”

Section: Introductionmentioning

confidence: 99%

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Vapor Pressures of Phenolic Compounds Found in Pyrolysis Oil

2020

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Oil produced from pyrolysis of Kukersite oil shale and lignocellulosic biomass both contain significant amounts of phenolic compounds. Here we present new experimental vapor pressure data for two such compounds (4-ethyl-2-methoxyphenol and 5-methylresorcinol) and also for a mixture of phenolic compounds extracted from pyrolysis oil (Honeyol TM ). Vapor pressure data was measured by high pressure differential scanning calorimetry (DSC), in accordance with the ASTM E 1782 standard test method. The measurements were conducted in the pressure range from 0.89 kPa to atmospheric pressure. The measured temperature ranges for the vapor pressure were 374.5 to 509.1 K for 4-ethyl-2-methoxyphenol, 428.0 to 565.0 K for Honeyol TM and 429.4 to 565.8 K for 5-methylresorcinol. Density data for 4-ethyl-2methoxyphenol were also measured at 293.15 to 363.15 K. The experimental vapor pressure and density data for 4-ethyl-2-methoxyphenol were fitted using the PC-SAFT equation of state, and the vapor pressure data for the other compounds was fit using the Antoine equation. Enthalpies of vaporization were also calculated. The properties of these compounds were then compared to literature data for other pure phenolic compounds and mixtures of the phenolic compounds from Kukersite shale oil. This comparison indicates that some pure compounds, such as 4-ethyl-2-methoxyphenol, could be used as model compounds for estimating the properties of the phenolic portion of pyrolysis oil.

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“…The experimental procedure was thoroughly described in earlier articles from our research group by Siitsman et al ,, …”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vapor Pressures of Phenolic Compounds Found in Pyrolysis Oil

2020

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“…The method is based on the measurement principle and procedure underlying the ASTM E1782 standard "Standard Test Method for Determining Vapor Pressure by Thermal Analysis" [32]. The standardized method itself is for measuring boiling points of pure substances at specific pressures [33], but at our laboratory the first principles of the method were extended to measuring the vapour pressure and initial boiling points of oil fractions with narrow boiling ranges [34,35] and also to determining their weight average boiling points [31].…”

Section: Average Boiling Point Determination By Tgamentioning

confidence: 99%

Astm D86 Distillation in the Context of Average Boiling Points as Thermodynamic Property of Narrow Boiling Range Oil Fractions

Rannaveski¹,

Listak²,

Oja³

2018

Oil Shale

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The average boiling points (ABPs) of narrow boiling range oil distillation cuts are important in predicting thermodynamic and physical properties of oils. Due to convenience, simple batch distillation methods, either at atmospheric or reduced pressure, are often used to separate shale oils into fractions, including narrow boiling range fractions, and it has been attempted to calculate average boiling points directly from the distillation data. Using wide industrial shale oil fractions from Estonian kukersite oil shale and based on ASTM "Standard Test Method for Distillation of Petroleum Products at Atmospheric Pressure" (ASTM D86), this paper is aimed to find out how much the average boiling points determined directly from distillation, as an arithmetic average of the initial and final temperatures of the thermometer during fractions collection, differ from actual average boiling points (AABPs). The actual average boiling points of narrow boiling range oil fractions, pre-prepared by the same ASTM D86 distillation, were measured afterwards using a recently developed thermogravimetric analysis (TGA) based experimental method, which requires only about 20 mg of sample. The study indicated that AABPs were always lower than the respective average values determined directly from ASTM D86 distillation data.

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“…Multiple models would be needed for predicting the various important properties, and some of the properties are time consuming and costly to measure (e.g. vapor pressures 28,29 measured using the DSC method 30 ). Therefore, creating and maintaining standard samples would be prohibitively expensive.…”

Section: 𝑛 ̅ = 𝑛 + 𝑖𝑘mentioning

confidence: 99%

Untitled

2017

Preprint

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Transferring a multivariate model between infrared spectrometers is a significant challenge, and current methods often require the creation of costly standard samples to ensure sufficient accuracy. A good solution would be to first convert the measured spectra to k spectra (also called extinction coefficient spectra, imaginary refractive index spectra or absolute absorbance spectra). Unlike an absorption or transmission spectrum, which depends on the spectrometer used, the k spectrum is a property of the material, and this would make it an ideal standardized form for infrared spectra. In theory, this would allow models based on k spectra to be directly used for k spectra from other spectrometers.The feasibility of this idea was tested by calculating and comparing the k spectra from two different spectrometers for pure compounds and shale oil samples. Although deviations between spectra from the two spectrometers were reduced, significant differences still remained. Further analysis indicated that the likely cause of these differences was misalignment in the optics of the spectrometers. Some amount of misalignment is common in spectrometers, and the current method for calculating k spectra does not directly account for this. Therefore, further research needs to be done to adequately correct for misalignment to obtain accurate k spectra.

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Application of a DSC based vapor pressure method for examining the extent of ideality in associating binary mixtures with narrow boiling range oil cuts as a mixture component

Cited by 9 publications

References 31 publications

Vapor Pressures of Phenolic Compounds Found in Pyrolysis Oil

Vapor Pressures of Phenolic Compounds Found in Pyrolysis Oil

Astm D86 Distillation in the Context of Average Boiling Points as Thermodynamic Property of Narrow Boiling Range Oil Fractions

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