Production of methanol from renewable sources in Mexico: Supply chain optimization

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Chemical Engineering Pub Date : 2024-06-24 DOI:10.1016/j.compchemeng.2024.108780
Nereyda Vanessa Hernández-Camacho , Fernando Israel Gómez-Castro , José María Ponce-Ortega , Mariano Martín
{"title":"Production of methanol from renewable sources in Mexico: Supply chain optimization","authors":"Nereyda Vanessa Hernández-Camacho ,&nbsp;Fernando Israel Gómez-Castro ,&nbsp;José María Ponce-Ortega ,&nbsp;Mariano Martín","doi":"10.1016/j.compchemeng.2024.108780","DOIUrl":null,"url":null,"abstract":"<div><p>Methanol is one of the most important chemical compounds, as it is the basis for producing a wide variety of derivatives. Its production through fossil sources such as natural gas in countries like Mexico is not entirely viable due to the fluctuations in the availability of this resource. The use of renewable sources to produce methanol represents an interesting area of opportunity to reduce the dependence on a single raw material. This work proposes the design of the methanol supply chain in Mexico using residual materials, finding a solution with the best compromise between profit, social impact, and CO<sub>2</sub> emissions. The solution with the best compromise corresponds to a profit of 7,334,100 USD/y, a marginalization index of 2592.536 and CO<sub>2</sub> emissions of -0.021 Mt/y. This solution has 8 different types of raw materials, 18 process plants and the use of three processing technologies: gasification, anaerobic digestion, and catalysis from CO<sub>2</sub>.</p></div>","PeriodicalId":286,"journal":{"name":"Computers & Chemical Engineering","volume":null,"pages":null},"PeriodicalIF":3.9000,"publicationDate":"2024-06-24","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/S0098135424001984","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

Methanol is one of the most important chemical compounds, as it is the basis for producing a wide variety of derivatives. Its production through fossil sources such as natural gas in countries like Mexico is not entirely viable due to the fluctuations in the availability of this resource. The use of renewable sources to produce methanol represents an interesting area of opportunity to reduce the dependence on a single raw material. This work proposes the design of the methanol supply chain in Mexico using residual materials, finding a solution with the best compromise between profit, social impact, and CO2 emissions. The solution with the best compromise corresponds to a profit of 7,334,100 USD/y, a marginalization index of 2592.536 and CO2 emissions of -0.021 Mt/y. This solution has 8 different types of raw materials, 18 process plants and the use of three processing technologies: gasification, anaerobic digestion, and catalysis from CO2.

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
墨西哥利用可再生资源生产甲醇:供应链优化
甲醇是最重要的化合物之一,因为它是生产各种衍生物的基础。在墨西哥等国,通过天然气等化石资源生产甲醇并不完全可行,因为这种资源的供应量时有波动。利用可再生资源生产甲醇是一个有趣的领域,可以减少对单一原料的依赖。这项研究提出利用残余材料设计墨西哥的甲醇供应链,在利润、社会影响和二氧化碳排放之间找到一个最佳折中方案。最佳折中方案对应的利润为 733.41 万美元/年,边际化指数为 2592.536,二氧化碳排放量为-0.021 兆吨/年。该方案有 8 种不同类型的原材料、18 个加工厂,并使用了三种加工技术:气化、厌氧消化和二氧化碳催化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Applications of augmented reality (AR) in chemical engineering education: Virtual laboratory work demonstration to digital twin development An analysis of multi-agent reinforcement learning for decentralized inventory control systems Moving horizon estimation for pipeline leak detection, localization, and constrained size estimation Production of methanol from renewable sources in Mexico: Supply chain optimization A data-driven robust optimization method based on scenario clustering for PVC production scheduling under uncertainty
×
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
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