Optimal chemical reaction pathway for palm process residue recovery using Process Graph (P-graph) framework

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Chemical Engineering Pub Date : 2025-01-05 DOI:10.1016/j.compchemeng.2025.109000
Seen Ye Lim , Nishanth G. Chemmangattuvalappil , John Frederick D. Tapia , Ianatul Khoiroh , Pui Vun Chai , Lik Yin Ng
{"title":"Optimal chemical reaction pathway for palm process residue recovery using Process Graph (P-graph) framework","authors":"Seen Ye Lim ,&nbsp;Nishanth G. Chemmangattuvalappil ,&nbsp;John Frederick D. Tapia ,&nbsp;Ianatul Khoiroh ,&nbsp;Pui Vun Chai ,&nbsp;Lik Yin Ng","doi":"10.1016/j.compchemeng.2025.109000","DOIUrl":null,"url":null,"abstract":"<div><div>Oleochemical industry generates palm process residue during hydrogenation of fatty acids or methyl esters. This residue, comprising fatty alcohols and alkanes with overlapping boiling points, is challenging and costly to separate using conventional distillation. Efficient recovery of fatty alcohols for commercial use, while alkanes for jet fuel, lubricants, and gasoline are beneficial. A promising solution involves halogenating fatty alcohols into derivatives with distinct boiling points from alkanes, enabling efficient distillation. Thus, identifying chemical reaction pathways for fatty alcohols and halogenating agents that occurs spontaneously under optimal conditions is crucial for cost-effectiveness and sustainability. Utilizing P-graph framework with SSG + LP algorithm, 116 thermodynamically feasible pathways were generated and analyzed using Aspen Plus. The optimal pathway successfully separated C<sub>12</sub>H<sub>25</sub>OH from C<sub>14</sub>H<sub>30</sub> and achieved a high conversion of 90.40% for C<sub>12</sub>H<sub>25</sub>Br. This pathway also produced valuable by-products such as C<sub>4</sub>H<sub>8</sub>BrOH and C<sub>5</sub>H<sub>11</sub>OH, generating higher revenue and demonstrating industrial feasibility.</div></div>","PeriodicalId":286,"journal":{"name":"Computers & Chemical Engineering","volume":"194 ","pages":"Article 109000"},"PeriodicalIF":3.9000,"publicationDate":"2025-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0098135425000043","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Oleochemical industry generates palm process residue during hydrogenation of fatty acids or methyl esters. This residue, comprising fatty alcohols and alkanes with overlapping boiling points, is challenging and costly to separate using conventional distillation. Efficient recovery of fatty alcohols for commercial use, while alkanes for jet fuel, lubricants, and gasoline are beneficial. A promising solution involves halogenating fatty alcohols into derivatives with distinct boiling points from alkanes, enabling efficient distillation. Thus, identifying chemical reaction pathways for fatty alcohols and halogenating agents that occurs spontaneously under optimal conditions is crucial for cost-effectiveness and sustainability. Utilizing P-graph framework with SSG + LP algorithm, 116 thermodynamically feasible pathways were generated and analyzed using Aspen Plus. The optimal pathway successfully separated C12H25OH from C14H30 and achieved a high conversion of 90.40% for C12H25Br. This pathway also produced valuable by-products such as C4H8BrOH and C5H11OH, generating higher revenue and demonstrating industrial feasibility.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
期刊介绍: Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.
期刊最新文献
Advanced data-driven fault detection in gas-to-liquid plants A synchronous data-driven hybrid framework for optimizing hydrotreating units and hydrogen networks under uncertainty Editorial Board Predicting the temperature-dependent CMC of surfactant mixtures with graph neural networks Application of a temporal multiscale method for efficient simulation of degradation in PEM Water Electrolysis under dynamic operating conditions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1