A novelty detection diagnostic methodology for merit function calculations for various individual gasoline components

Abstract

Gasoline merit function is proposed to assist in ranking gasoline components additives in a methodical technique when various gasoline-type fuel characteristics are changing contemporaneously. The current research seeks to suggest a new parameter of a fuel merit function to rank several individual gasoline blendstocks, involving oxygenates, paraffinic, isoparaffinic, olefinic, naphthenic, and aromatic gasoline components. This is a novelty detection diagnostic methodology for merit functions calculations for various individual gasoline components. The obtained results reported that the order of gasoline antiknocking could be increased in the series of oxygenated compounds > aromatics > naphthenes > olefins > branched paraffins > normal paraffins. Furthermore, the acquired results stated that the merit function score for methanol was higher than ethanol, isopropanol, isobutanol, ETBE, MTBE, TAME, and 2-methylfurane for oxygenated compounds. Moreover, the calculated results noted that the merit function score for prenol was higher than isobutene, alfa-isoamylene, diisobutylene, and dimate for olefinic gasoline components. Besides, the obtained results observed that the merit function score for isohexane was greater than isobutane, isopentane, and isoheptane for isoparaffinic gasoline components. Likewise, the results noted that the merit function score for toluene was higher than cumene, o-xylene, m-xylene, p-xylene, and ethylbenzene for aromatic gasoline components. The ranking of gasoline components using merit function has been investigated in order to enhance the technological comprehension of the dynamic relevance between engine performance and gasoline-type fuel properties, involving octane rating. Finally, the promising gasoline blendstocks will contribute to producing innovative gasoline-type fuel recipes as octane boosters.