Abdul Jameel et al., 2016 - Google Patents
Predicting fuel ignition quality using 1H NMR spectroscopy and multiple linear regressionAbdul Jameel et al., 2016
- Document ID
- 1728939716534992794
- Author
- Abdul Jameel A
- Naser N
- Emwas A
- Dooley S
- Sarathy S
- Publication year
- Publication venue
- Energy & Fuels
External Links
Snippet
An improved model for the prediction of ignition quality of hydrocarbon fuels has been developed using 1H nuclear magnetic resonance (NMR) spectroscopy and multiple linear regression (MLR) modeling. Cetane number (CN) and derived cetane number (DCN) of 71 …
- 239000000446 fuel 0 title abstract description 263
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/26—Investigating or analysing materials by specific methods not covered by the preceding groups oils; viscous liquids; paints; inks
- G01N33/28—Oils, i.e. hydrocarbon liquids
-
- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10L—FUELS NOT OTHERWISE PROVIDED FOR; NATURAL GAS; SYNTHETIC NATURAL GAS OBTAINED BY PROCESSES NOT COVERED BY SUBCLASSES C10G, C10K; LIQUEFIED PETROLEUM GAS; ADDING MATERIALS TO FUELS OR FIRES TO REDUCE SMOKE OR UNDESIRABLE DEPOSITS OR TO FACILITATE SOOT REMOVAL; FIRELIGHTERS
- C10L1/00—Liquid carbonaceous fuels
- C10L1/04—Liquid carbonaceous fuels essentially based on blends of hydrocarbons
- C10L1/08—Liquid carbonaceous fuels essentially based on blends of hydrocarbons for compression ignition
-
- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
- C10G2300/00—Aspects relating to hydrocarbon processing covered by groups C10G1/00 - C10G99/00
- C10G2300/20—Characteristics of the feedstock or the products
- C10G2300/30—Physical properties of feedstocks or products
-
- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
- C10G2300/00—Aspects relating to hydrocarbon processing covered by groups C10G1/00 - C10G99/00
- C10G2300/10—Feedstock materials
-
- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10L—FUELS NOT OTHERWISE PROVIDED FOR; NATURAL GAS; SYNTHETIC NATURAL GAS OBTAINED BY PROCESSES NOT COVERED BY SUBCLASSES C10G, C10K; LIQUEFIED PETROLEUM GAS; ADDING MATERIALS TO FUELS OR FIRES TO REDUCE SMOKE OR UNDESIRABLE DEPOSITS OR TO FACILITATE SOOT REMOVAL; FIRELIGHTERS
- C10L1/00—Liquid carbonaceous fuels
- C10L1/10—Liquid carbonaceous fuels containing additives
- C10L1/14—Organic compounds
- C10L1/18—Containing oxygen
-
- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
- C10G2300/00—Aspects relating to hydrocarbon processing covered by groups C10G1/00 - C10G99/00
- C10G2300/40—Characteristics of the process deviating from typical ways of processing
- C10G2300/4006—Temperature
-
- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10G—CRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
- C10G2300/00—Aspects relating to hydrocarbon processing covered by groups C10G1/00 - C10G99/00
- C10G2300/40—Characteristics of the process deviating from typical ways of processing
- C10G2300/4081—Recycling aspects
-
- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10L—FUELS NOT OTHERWISE PROVIDED FOR; NATURAL GAS; SYNTHETIC NATURAL GAS OBTAINED BY PROCESSES NOT COVERED BY SUBCLASSES C10G, C10K; LIQUEFIED PETROLEUM GAS; ADDING MATERIALS TO FUELS OR FIRES TO REDUCE SMOKE OR UNDESIRABLE DEPOSITS OR TO FACILITATE SOOT REMOVAL; FIRELIGHTERS
- C10L1/00—Liquid carbonaceous fuels
- C10L1/02—Liquid carbonaceous fuels essentially based on components consisting of carbon, hydrogen, and oxygen only
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Abdul Jameel et al. | Predicting fuel ignition quality using 1H NMR spectroscopy and multiple linear regression | |
Abdul Jameel et al. | Predicting octane number using nuclear magnetic resonance spectroscopy and artificial neural networks | |
Abdul Jameel et al. | Calculation of average molecular parameters, functional groups, and a surrogate molecule for heavy fuel oils using 1H and 13C nuclear magnetic resonance spectroscopy | |
Ghosh et al. | Detailed composition-based model for predicting the cetane number of diesel fuels | |
Albahri | Structural group contribution method for predicting the octane number of pure hydrocarbon liquids | |
Dahmen et al. | A novel group contribution method for the prediction of the derived cetane number of oxygenated hydrocarbons | |
Mueller et al. | Diesel surrogate fuels for engine testing and chemical-kinetic modeling: Compositions and properties | |
Smith et al. | Improvements in the measurement of distillation curves. 4. Application to the aviation turbine fuel Jet-A | |
Smith et al. | Improvements in the measurement of distillation curves. 3. Application to gasoline and gasoline+ methanol mixtures | |
Creton et al. | Prediction of the cetane number of diesel compounds using the quantitative structure property relationship | |
St. John et al. | A quantitative model for the prediction of sooting tendency from molecular structure | |
Smith et al. | Composition-explicit distillation curves of aviation fuel JP-8 and a coal-based jet fuel | |
Al Ibrahim et al. | Prediction of the derived cetane number and carbon/hydrogen ratio from infrared spectroscopic data | |
Chatelain et al. | Wide range experimental and kinetic modeling study of chain length impact on n-alkanes autoxidation | |
Vozka et al. | Impact of alternative fuel blending components on fuel composition and properties in blends with jet A | |
Yu et al. | Surrogate definition and chemical kinetic modeling for two different jet aviation fuels | |
Yan et al. | Prediction of sooting tendency for hydrocarbon liquids in diffusion flames | |
Berrier et al. | Predictive modeling of aerospace fuel properties using comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry and partial least squares analysis | |
Al Ibrahim et al. | Octane prediction from infrared spectroscopic data | |
Ure et al. | Quantitative NMR spectroscopy for the analysis of fuels: A case study of FACE gasoline F | |
Heyne et al. | Autoignition studies of trans-and cis-decalin in an ignition quality tester (IQT) and the development of a high thermal stability unifuel/single battlefield fuel | |
Hsieh et al. | Chemical and thermophysical characterization of an algae-based hydrotreated renewable diesel fuel | |
Windom et al. | Measurements and modeling study on a high-aromatic diesel fuel | |
Daly et al. | FACE gasoline surrogates formulated by an enhanced multivariate optimization framework | |
Agudelo et al. | Autoignition of alcohol/C7-esters/n-heptane blends in a motored engine under HCCI conditions |