Liaw-UNIFAC flash point model for alcohols-kerosene/diesel fuel blends using average fuel structure

Huo, Xin; Lu, Qiang; Wang, Jian

doi:10.1016/j.psep.2022.02.027

Cited by 7 publications

(2 citation statements)

References 59 publications

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“…The increase in intake air temperature causes a proportional increase in temperature pressure in the cylinder (Mansor et al, 2021). Flashpoint is an important fuel criterion because it promotes safe storage and transportation conditions and affects process operating temperatures (Huo et al, 2022).…”

Section: Findings and Discussionmentioning

confidence: 99%

Identify The Cause and Effect of Detonation In The Main Engine

Tjahjono,

Cahyadi,

Indriyani

et al. 2023

cset

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In the process of shipping, the main engine must always be maintained in prime condition to support the smooth sailing of a ship. In the main engine, there are often oddities or things that are not common in the main engine, one of which is knocking. The purpose of this study is to identify detonation that occurs in the main engine, analyze the causes and consequences of detonation. The research method used in this research is qualitative. Sources of research data obtained from data collection techniques through observation, interviews, documentation, and data validity techniques using internal validity. The place and time of the research were conducted at MV. Tanto Hemat for one year. SWOT method to analyze various factors that can be used to optimize blasting systematically against strengths, weaknesses, opportunities, and threats. The study results identify detonation in the main engine, namely ignition delay and pre-ignition in the main engine. Factors that cause detonation in the main engine are poor fuel quality, high pressure and temperature in the engine combustion chamber, and improper combustion timing. The impact caused by detonation on the main engine is detonation will cause an increase in fuel consumption, damage to engine spare parts, and carbon buildup in the combustion chamber.

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Section: Findings and Discussionmentioning

confidence: 99%

Identify The Cause and Effect of Detonation In The Main Engine

Tjahjono,

Cahyadi,

Indriyani

et al. 2023

cset

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“…To overcome these limitations, Huo et al 93 used average structure compositions of kerosene and diesel to predict FPs of mixtures of these fuels and alcohols, such as n-butanol, nhexanol, and n-octanol. These authors obtained the average structures by conducting Gas Chromatography analyses.…”

mentioning

confidence: 99%

Mixture Flash Point Calculation: Recent Advances and a Closer Look at Biodiesel

Costa do Nascimento,

Souza,

Hentges

et al. 2024

ACS Chem. Health Saf.

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To safely handle, transport, and store flammable or combustible liquids, such as biodiesel and its blends, it is important to have knowledge of a few physical-chemical properties. The Flash Point is an important one, as it is related to the flammability of the fuel blend. It can be experimentally measured through open cup or closed cup standard procedures. However, due to the usual scarcity of experimental data for multicomponent systems, developing a model to predict flash points of mixtures is of interest. To do so, there are a few possible approaches, which include empirical regression of data, vapor pressure-based methods, and QSPR. When it comes to mixtures, the most popular modeling method is based on vapor pressure, which usually employs LeChatelier's rule and vapor−liquid equilibria (VLE) calculations to flash point prediction. Generally, a γ−φ approach is adopted to describe the VLE behavior, although some authors have shown interest in φ−φ approaches. In recent years, studies on QSPR for FP prediction of mixtures have evolved, which represents an advance toward more generalized FP prediction models. Additionally, COSMO type models have been gaining attention in FP prediction, usually associated with vapor pressure models or even empirical models. When it comes to biodiesel though, not much progress has been made since 2014, with just a few works being published since then. This paper seeks to review advances made in FP prediction methods for mixtures in general, while giving attention to those involving biodiesel and petro-diesel.

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