Modeling biodiesel properties by preference learning: Case study of cetane number

作     者：Diez-Valbuena, Guillermo Garcia-Tuero, Alejandro Rodriguez, Eduardo Battez, Antolin Hernandez Diez, Jorge 

作者机构：Univ Oviedo Dept Construct & Mfg Engn Pedro Puig Adam S-N Gijon 33203 Spain Univ Oviedo Artificial Intelligence Ctr Campus Gijon Gijon 33203 Spain 

出 版 物：《ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE》 (Eng Appl Artif Intell)

年 卷 期：2025年第144卷

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：MICIU/AEI FEDER/UE Government of the Principality of Asturias, Spain [BP22-153] Agency for Science, Business Competitiveness, and Innovation of the Principality of Asturias in Spain (SEKUENS) [GRU-GIC-24-001, GRU-GIC-24-018] PID2022-136656NB-I00 

主　　题：Preference learning Autoencoder Multitask Siamese network Biodiesel Cetane number 

摘      要：The properties and performance of biodiesels depend on the composition of the fatty acid methyl esters (FAMEs) present. Obtaining new biodiesels is neither a cheap nor a simple task. Therefore, it is important to model their properties in advance in order to know what composition would be needed to fulfill a given requirement. This paper presents a multitask approach that models the behavior of biodiesels using preference learning and also obtains representations of those biodiesels in a feature space by means of an autoencoder. The performance of the system in different configurations is also analyzed, showing its robustness. A case study was conducted to analyze the cetane number, which is an important property in biodiesel. Correlations between the cetane number and the distribution of FAMEs have been identified. These correlations are more clearly observed when the FAMEs are grouped according to common characteristics, such as the percentage of saturated fatty acids (SFA), monounsaturated fatty acids (MUFA), and polyunsaturated fatty acids (PUFA) in the biodiesel, or the average number of double bonds (DB). Based on these groupings, it can be observed that the cetane number decreases with increasing unsaturation. Additionally, it was determined that the cetane number value has a minimal or no correlation with the average molecular weight (Mw) of the biodiesel.