An evolving research agenda of merit function calculations for new gasoline compositions
M. A. Ershov
1
,
Vsevolod D Savelenko
1, 2
,
Nadezhda S Shvedova
1
,
Vladimir M Kapustin
1, 3
,
Tamer M M Abdellatief
1, 4
,
Nikolay V. Karpov
5
,
Eduard V. Dutlov
5
,
Dmitry V. Borisanov
1, 5
2
New Technologies Watch Center (NTWC LLC), Moscow, 117546, Russia
|
4
5
Slavneft-YANOS PJSC, Moscow, 150023, Russia
|
Тип публикации: Journal Article
Дата публикации: 2022-08-01
scimago Q1
wos Q1
БС1
SJR: 1.614
CiteScore: 14.2
Impact factor: 7.5
ISSN: 00162361, 18737153
Organic Chemistry
General Chemical Engineering
Energy Engineering and Power Technology
Fuel Technology
Краткое описание
• High octane environmental gasolines RONs 92 and 95 were produced based on isoolefins. • Isoolefins have great potential gasoline additives due to their high antidetonation. • Merit function exhibits the relationship between fuel properties and engine performance. • Merit function could be employed for ranking various gasoline compositions gasoline. • Calculated values for developed compositions turned out to be slightly higher than for base gasoline. Gasoline engines have an even greater potential for optimization. New fuels composition should be corresponded with modern engine technologies requirements. One of these requirements is introducing merit function to assess the advantages of innovative motor gasoline formulations, regarding their anticipated influence on performance for future engines. This paper addresses producing new recipes of environmentally friendly high octane gasoline fuel grades RONs 92 and 95. In addition, preliminary mathematical digital model for evaluating a comprehensive merit function of automotive gasoline for newly proposed fuel motor compositions was developed to maximize gasoline performance and decrease emissions when operating gasoline engines at various conditions. Physical and chemical characteristics of these innovative gasoline recipes were investigated in accordance with standard test methods regulations. The vast expertise of this laboratory work has obviously reported that fuel compositions samples contained the following concentrations by weight percentage, i.e., light condensate naphtha – 46–56, isopentane fraction – up to 4, aromatic components – up to 20, MTBE –14–15, isoolefins hydrocarbons – 15–16, and isooctane – up to 20. The key hypothesis of the merit function was improved gasoline efficiency and reduce exhaust emissions when operating gasoline engines at various conditions. The results reported that calculated values obtained for developed compositions turned out to be slightly higher than for baseline gasolines. These mean that the proposed gasoline composition was more efficient when operating gasoline engine at this condition.
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Ershov M. A. et al. An evolving research agenda of merit function calculations for new gasoline compositions // Fuel. 2022. Vol. 322. p. 124209.
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Ershov M. A., Savelenko V. D., Shvedova N. S., Kapustin V. M., Abdellatief T. M. M., Karpov N. V., Dutlov E. V., Borisanov D. V. An evolving research agenda of merit function calculations for new gasoline compositions // Fuel. 2022. Vol. 322. p. 124209.
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TY - JOUR
DO - 10.1016/j.fuel.2022.124209
UR - https://linkinghub.elsevier.com/retrieve/pii/S0016236122010663
TI - An evolving research agenda of merit function calculations for new gasoline compositions
T2 - Fuel
AU - Ershov, M. A.
AU - Savelenko, Vsevolod D
AU - Shvedova, Nadezhda S
AU - Kapustin, Vladimir M
AU - Abdellatief, Tamer M M
AU - Karpov, Nikolay V.
AU - Dutlov, Eduard V.
AU - Borisanov, Dmitry V.
PY - 2022
DA - 2022/08/01
PB - Elsevier
SP - 124209
VL - 322
SN - 0016-2361
SN - 1873-7153
ER -
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@article{2022_Ershov,
author = {M. A. Ershov and Vsevolod D Savelenko and Nadezhda S Shvedova and Vladimir M Kapustin and Tamer M M Abdellatief and Nikolay V. Karpov and Eduard V. Dutlov and Dmitry V. Borisanov},
title = {An evolving research agenda of merit function calculations for new gasoline compositions},
journal = {Fuel},
year = {2022},
volume = {322},
publisher = {Elsevier},
month = {aug},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0016236122010663},
pages = {124209},
doi = {10.1016/j.fuel.2022.124209}
}
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