Nelly Pérez-Rangel , Christian Coronado , Jorge Ancheyta
{"title":"Approaches to conditioning of vegetable oil feedstock for hydrotreating to produce renewable diesel","authors":"Nelly Pérez-Rangel , Christian Coronado , Jorge Ancheyta","doi":"10.1016/j.fuel.2024.133897","DOIUrl":null,"url":null,"abstract":"<div><div>The hydrotreating (HDT) process is increasingly implemented due to its versatility in producing renewable diesel and its flexibility with various raw materials. Impurities in vegetable oils can disrupt the HDT process, necessitating a pretreatment stage to ensure optimal performance, catalyst and equipment preservation, and achieve high yields. While laboratory-scale studies often overlook pretreatment due to minimal impacts on production costs and the use of pre-refined oils, industrial processes are designed and tailored to optimize the purification step for efficiency and cost-effectiveness. This study discusses the effect of impurities such as phospholipids, metals, and free fatty acids (FFA) on HDT and outlines effective pretreatment methods. Removing impurities is critical as they can deactivate sulfur-based catalysts, promote coke formation, and initiate oligomerization. The introduction of dimethyl disulfide (DMDS) and co-processing with sulfur-containing petroleum fractions are examined for their effectiveness in mitigating catalyst deactivation. The two-stage HDT, or pre-HDT, which is emphasized for lowering coke formation and increasing hydrogen availability, is also covered. The study emphasizes the importance of tailored pretreatment strategies for different raw material, including used cooking oil (UCO), to enhance HDT efficiency and extend catalyst life.</div></div>","PeriodicalId":325,"journal":{"name":"Fuel","volume":"383 ","pages":"Article 133897"},"PeriodicalIF":6.7000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuel","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016236124030473","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The hydrotreating (HDT) process is increasingly implemented due to its versatility in producing renewable diesel and its flexibility with various raw materials. Impurities in vegetable oils can disrupt the HDT process, necessitating a pretreatment stage to ensure optimal performance, catalyst and equipment preservation, and achieve high yields. While laboratory-scale studies often overlook pretreatment due to minimal impacts on production costs and the use of pre-refined oils, industrial processes are designed and tailored to optimize the purification step for efficiency and cost-effectiveness. This study discusses the effect of impurities such as phospholipids, metals, and free fatty acids (FFA) on HDT and outlines effective pretreatment methods. Removing impurities is critical as they can deactivate sulfur-based catalysts, promote coke formation, and initiate oligomerization. The introduction of dimethyl disulfide (DMDS) and co-processing with sulfur-containing petroleum fractions are examined for their effectiveness in mitigating catalyst deactivation. The two-stage HDT, or pre-HDT, which is emphasized for lowering coke formation and increasing hydrogen availability, is also covered. The study emphasizes the importance of tailored pretreatment strategies for different raw material, including used cooking oil (UCO), to enhance HDT efficiency and extend catalyst life.
期刊介绍:
The exploration of energy sources remains a critical matter of study. For the past nine decades, fuel has consistently held the forefront in primary research efforts within the field of energy science. This area of investigation encompasses a wide range of subjects, with a particular emphasis on emerging concerns like environmental factors and pollution.