Analysis of the lipophilicity of compounds in the refinery alkylation process upstream using computational chemistry
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Introduction: Refinery alkylation is crucial for the production of high-octane gasoline with low emissions, meeting environmental requirements and demands of today's automotive industry. This study provides data obtained by computational chemistry analysis of the chemical compounds in the refinery alkylation process input stream, which is expected to significantly improve fuel quality and process efficiency. Objective: The objective of this study is to analyse the lipophilicity values of chemical compounds in the refinery alkylation process input stream, which are identified through an exhaustive literature search and analysed by computational chemistry using the iLOGP, XLOGP3, MLOGP, WLOGP and SILICOS-IT methods. The aim is to understand how the lipophilicity of these compounds influences their behaviour during this crude oil refining process, in order to improve the efficiency and selectivity of this process. Methodology: In this study, observation, measurement, experimentation and systematic and rigorous interpretation of the results are carried out. By means of analysis and bibliographic search, the compounds present in the input flow to the alkylation process in the refinery are determined. These compounds are processed by computational chemistry to obtain the lipophilicity values of each molecule. Subsequently, these values and their influence on the relevant variables of the refining process are meticulously analysed. Results: Consensus Log Po/w combines computational methods to estimate the Log Po/w of each molecule, improving the accuracy of the predictions. This study focuses on analysing the lipophilicity of compounds in the inlet stream for refinery alkylation. Propylene has the lowest value, while n-pentane has the highest. Lipophilicity ensures the solubility and efficiency of the process. Conclusions: The lipophilic characteristics of compounds in the alkylation feed stream are crucial in crude oil refining. Understanding and predicting lipophilicity can be achieved with computational methods such as iLOGP, XLOGP3, WLOGP, MLOGP and SILICOS-IT. Consensus values of lipophilicity range from 1.35 to 2.45, affecting solubility in organic phases and interaction with catalysts, which influences the efficiency and yield of alkylation in refinery.
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