Determination of octane numbers for clean gasoline using dielectric spectroscopy

Guan, Lei; Feng, X.L.; Li, Z.C.; Geng, Lin

doi:10.1016/j.fuel.2009.02.017

Cited by 24 publications

(9 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the measurement of the RON takes time and requires a relatively large amount of gasoline samples, and it normally is performed only for the purpose of quality inspections. In order to circumvent the drawbacks of the RON method, several other techniques have been proposed, such as the gas chromatography, fluorescent indicator adsorption, dielectric spectroscopy, phononic crystal sensing, flame spectroscopy emission, near infrared spectroscopy, 1 H and 13 C nuclear magnetic resonance (NMR) spectroscopy, etc. Among these techniques, 1 H NMR spectroscopy has been shown to successfully determine the ON for the product gasoline .…”

Section: Introductionmentioning

confidence: 99%

¹H NMR application in characterizing the refinery products of gasoline

Sun

Wang

2016

Concepts Magnetic Resonance

View full text Add to dashboard Cite

We report on an application of 1H NMR spectroscopy in characterizing the gasoline properties of its refinery products. In this work, a variety of gasoline samples obtained from different refinery stages are studied, and the aromatic, olefin, and paraffin contents as well as the octane number (ON) of the gasoline samples are characterized by 1H NMR. The properties of two product gasoline samples are also studied by 1H NMR spectroscopy; the NMR‐determined values for the ONs are compared with the research octane number values measured in a standard test engine, and a good agreement is achieved. This work indicates that the characteristics of gasoline can be revealed by 1H NMR, and the values derived from the NMR spectroscopy can be used to assess the gasoline quality during its refinery processes. Based on this work, we demonstrate that the 1H NMR spectroscopy is a convenient tool in the continuous monitoring of the refinery processes of gasoline.

show abstract

Section: Introductionmentioning

confidence: 99%

¹H NMR application in characterizing the refinery products of gasoline

Sun

Wang

2016

Concepts Magnetic Resonance

View full text Add to dashboard Cite

show abstract

“…Due to the requirement of fast process design, predicting samples' quality in new process based on historical posterior sample data has become frontiers recently. Guan et al [4] used dielectric spectroscopy (DES) in association with partial least squares (PLS) multivariate calibration method to predict the RON of clean gasoline samples. Nikolaou et al [10] proposed a non-linear calculation method to predict the RON based on gas chromatographic data.…”

Section: Ho-fcc Refined Process Controlmentioning

confidence: 99%

“…Therefore, a gasoline purity measurement indicator, namely the octane number (RON) [3], should be well-keeping in the heavy oil fluid catalytic cracking process (HO-FCC). The higher RON in a gasoline sample is, the greater dielectric constant is, indeed the higher combustion and energy utilization efficiency is and the lower carbon emission is [4]. However, some environmentally friendly processes such as part of detail steps in desulfurization would not totally positive to the RON keeping.…”

Section: Introductionmentioning

confidence: 99%

Key Feature Selecting in the Clean Oil Refinery Process Based on a Two-Stage Data Mining Framework

Lin

et al. 2021

Advances in Transdisciplinary Engineering

View full text Add to dashboard Cite

Maintaining the ratio of octane number and reducing the proportion of harmful substances in the heavy oil fluid catalytic cracking process meets both environmental and economic benefits. Through collecting tremendous processing data by digital hardware, gasoline refiners are still hard to do well data analytical work in production process control due to the large scale of ambiguous intermediate operating variables. This paper proposes a two-stage data mining framework integrates the strengths of Ridge regression and Person correlation analysis to extract a scale limited group of key features. Different with traditional recursive feature elimination methods, we pay more attention to the correlation analysis between every couple of features in the result. Two stop criterions guarantee to fulfil refining standards and limit the computational work in finite steps. A real word case study contains 325 samples, 13 quality indicators and 354 operating variables which testifies the validity and practicality of our algorithm. The result shows only 13 features (operating variables) are significant to the rationality of process design and the improvement of process control.

show abstract

“…Multivariate analysis with PLS calibrations were used to relate the dielectric spectrum to the octane number. 39 Dielectric spectroscopy can be used for process monitoring octane as a substitute method to existing technologies that may not detect all the additives used in formulating gasolines.…”

Section: Dielectric S Pectroscopymentioning

confidence: 99%

Future Trends for PAT for Increased Process Understanding and Growing Applications in Biomanufacturing

Bakeev¹,

Menezes²

2010

Process Analytical Technology

View full text Add to dashboard Cite

Determination of octane numbers for clean gasoline using dielectric spectroscopy

Cited by 24 publications

References 4 publications

¹H NMR application in characterizing the refinery products of gasoline

¹H NMR application in characterizing the refinery products of gasoline

Key Feature Selecting in the Clean Oil Refinery Process Based on a Two-Stage Data Mining Framework

Future Trends for PAT for Increased Process Understanding and Growing Applications in Biomanufacturing

Contact Info

Product

Resources

About

Determination of octane numbers for clean gasoline using dielectric spectroscopy

Cited by 24 publications

References 4 publications

1H NMR application in characterizing the refinery products of gasoline

1H NMR application in characterizing the refinery products of gasoline

Key Feature Selecting in the Clean Oil Refinery Process Based on a Two-Stage Data Mining Framework

Future Trends for PAT for Increased Process Understanding and Growing Applications in Biomanufacturing

Contact Info

Product

Resources

About

¹H NMR application in characterizing the refinery products of gasoline

¹H NMR application in characterizing the refinery products of gasoline