利用本地 Meta-kaolin 生产沸石-Y 催化剂:计算机辅助放大工艺设计和蒙特卡洛模拟经济分析

Emmanue Olusola Oke , Kazeem Kolapo Salam , Titilayo Deborah Oluwole , Aru Eze Okere , Nnabodo Darlington , Kehinde Ayoola Babatunde , Yahya Umar , Suliyat Omolara Ibrahim
{"title":"利用本地 Meta-kaolin 生产沸石-Y 催化剂:计算机辅助放大工艺设计和蒙特卡洛模拟经济分析","authors":"Emmanue Olusola Oke ,&nbsp;Kazeem Kolapo Salam ,&nbsp;Titilayo Deborah Oluwole ,&nbsp;Aru Eze Okere ,&nbsp;Nnabodo Darlington ,&nbsp;Kehinde Ayoola Babatunde ,&nbsp;Yahya Umar ,&nbsp;Suliyat Omolara Ibrahim","doi":"10.1016/j.clema.2024.100233","DOIUrl":null,"url":null,"abstract":"<div><p>Production of zeolite-Y catalyst from natural substrate has been a research trend in the scientific community. Published articles revealed that zeolite-Y recovery from locally sourced metakaolin is confined to laboratory practice. Scale-up process design and its economic feasibility for zeolite-Y catalyst recovery are rarely found in the scientific bibliography. Therefore, this study presented conceptual scale-up process design, base-case techno-economics and Monte-Carlo simulation of zeolite Y recovery from Nigerian metakaoline. ASPEN Base Case Simulation (ABCS), scale-up design and economics were accomplished using inherent design and costing algorithms in ASPEN Batch Process Developer (ABPD) V10. Process economic parameters: Net Present Value (NPV), Internal Rate of Return (IRR), Return on Investment (ROI) and Payback Time (PBT), were modelled and optimized using Design Expert V13 software; while zeolite Unit Production Cost (UPC), Annual Production Cost (APC), Total Capital Investment (TCI) and interest/discount rate were considered as model inputs. Monte-Carlo Simulation (MCS) in Crystal Ball Oracle software was used to perform the sensitivity and uncertainty analyses. The base-case techno-economic results of process design of 600,000 kg/year zeolite production gave batch size 5000 kg/batch with 104 batches/year, batch time (4149 min), TCI ($15,930,306), APC ($147,145), NPV ($41,983,375), ROI (38.13 %) and PBT (2.14 years). The coefficient of determination (R<sup>2</sup>) of the economic models were 0.9978, 0.9989 and 0.9986 for NPV, ROI and IRR respectively. The optimum economic variables that maximized synthesis of 5000 kg/batch zeolite Y are UPC ($11.68), APC ($100,033) and TPC ($15,930,200). MCS uncertainty for NPV, IRR and ROI are negligible. Therefore, this study demonstrated that scale-up zeolite-Y production from the local substrate is economically feasible.</p></div>","PeriodicalId":100254,"journal":{"name":"Cleaner Materials","volume":"11 ","pages":"Article 100233"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772397624000170/pdfft?md5=7e2fea20500faec5b67e336e311e1a1c&pid=1-s2.0-S2772397624000170-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Zeolite-Y-catalyst production from locally sourced Meta-kaolin: Computer-Aided scale-up process design and economic analysis with Monte-Carlo-Simulation\",\"authors\":\"Emmanue Olusola Oke ,&nbsp;Kazeem Kolapo Salam ,&nbsp;Titilayo Deborah Oluwole ,&nbsp;Aru Eze Okere ,&nbsp;Nnabodo Darlington ,&nbsp;Kehinde Ayoola Babatunde ,&nbsp;Yahya Umar ,&nbsp;Suliyat Omolara Ibrahim\",\"doi\":\"10.1016/j.clema.2024.100233\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Production of zeolite-Y catalyst from natural substrate has been a research trend in the scientific community. Published articles revealed that zeolite-Y recovery from locally sourced metakaolin is confined to laboratory practice. Scale-up process design and its economic feasibility for zeolite-Y catalyst recovery are rarely found in the scientific bibliography. Therefore, this study presented conceptual scale-up process design, base-case techno-economics and Monte-Carlo simulation of zeolite Y recovery from Nigerian metakaoline. ASPEN Base Case Simulation (ABCS), scale-up design and economics were accomplished using inherent design and costing algorithms in ASPEN Batch Process Developer (ABPD) V10. Process economic parameters: Net Present Value (NPV), Internal Rate of Return (IRR), Return on Investment (ROI) and Payback Time (PBT), were modelled and optimized using Design Expert V13 software; while zeolite Unit Production Cost (UPC), Annual Production Cost (APC), Total Capital Investment (TCI) and interest/discount rate were considered as model inputs. Monte-Carlo Simulation (MCS) in Crystal Ball Oracle software was used to perform the sensitivity and uncertainty analyses. The base-case techno-economic results of process design of 600,000 kg/year zeolite production gave batch size 5000 kg/batch with 104 batches/year, batch time (4149 min), TCI ($15,930,306), APC ($147,145), NPV ($41,983,375), ROI (38.13 %) and PBT (2.14 years). The coefficient of determination (R<sup>2</sup>) of the economic models were 0.9978, 0.9989 and 0.9986 for NPV, ROI and IRR respectively. The optimum economic variables that maximized synthesis of 5000 kg/batch zeolite Y are UPC ($11.68), APC ($100,033) and TPC ($15,930,200). MCS uncertainty for NPV, IRR and ROI are negligible. Therefore, this study demonstrated that scale-up zeolite-Y production from the local substrate is economically feasible.</p></div>\",\"PeriodicalId\":100254,\"journal\":{\"name\":\"Cleaner Materials\",\"volume\":\"11 \",\"pages\":\"Article 100233\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772397624000170/pdfft?md5=7e2fea20500faec5b67e336e311e1a1c&pid=1-s2.0-S2772397624000170-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cleaner Materials\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772397624000170\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Materials","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772397624000170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

利用天然基质生产沸石-Y 催化剂一直是科学界的研究趋势。已发表的文章显示,从本地来源的偏高岭土中回收沸石-Y 仅局限于实验室实践。沸石-Y 催化剂回收的放大工艺设计及其经济可行性在科学文献中很少见。因此,本研究介绍了从尼日利亚偏高岭土中回收沸石 Y 的概念性放大工艺设计、基础案例技术经济学和蒙特卡洛模拟。利用 ASPEN Batch Process Developer (ABPD) V10 中固有的设计和成本计算算法,完成了 ASPEN Base Case Simulation (ABCS)、放大设计和经济学分析。工艺经济参数使用 Design Expert V13 软件对净现值 (NPV)、内部收益率 (IRR)、投资回报率 (ROI) 和投资回收期 (PBT) 进行建模和优化;同时将沸石单位生产成本 (UPC)、年生产成本 (APC)、总资本投资 (TCI) 和利息/贴现率作为模型输入。Crystal Ball Oracle 软件中的蒙特卡洛模拟(MCS)用于进行敏感性和不确定性分析。年产 600,000 公斤沸石的工艺设计的基础案例技术经济结果为:批量 5000 公斤/批,104 批/年,批次时间(4149 分钟),TCI(15,930,306 美元),APC(147,145 美元),NPV(41,983,375 美元),投资回报率(38.13%)和 PBT(2.14 年)。经济模型的净现值、投资回报率和内部收益率的决定系数(R2)分别为 0.9978、0.9989 和 0.9986。能最大化合成 5000 公斤/批次沸石 Y 的最佳经济变量是 UPC(11.68 美元)、APC(100,033 美元)和 TPC(15,930,200 美元)。净现值、内部收益率和投资回报率的 MCS 不确定性可忽略不计。因此,本研究表明,利用当地基质扩大沸石-Y 的生产规模在经济上是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

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
Zeolite-Y-catalyst production from locally sourced Meta-kaolin: Computer-Aided scale-up process design and economic analysis with Monte-Carlo-Simulation

Production of zeolite-Y catalyst from natural substrate has been a research trend in the scientific community. Published articles revealed that zeolite-Y recovery from locally sourced metakaolin is confined to laboratory practice. Scale-up process design and its economic feasibility for zeolite-Y catalyst recovery are rarely found in the scientific bibliography. Therefore, this study presented conceptual scale-up process design, base-case techno-economics and Monte-Carlo simulation of zeolite Y recovery from Nigerian metakaoline. ASPEN Base Case Simulation (ABCS), scale-up design and economics were accomplished using inherent design and costing algorithms in ASPEN Batch Process Developer (ABPD) V10. Process economic parameters: Net Present Value (NPV), Internal Rate of Return (IRR), Return on Investment (ROI) and Payback Time (PBT), were modelled and optimized using Design Expert V13 software; while zeolite Unit Production Cost (UPC), Annual Production Cost (APC), Total Capital Investment (TCI) and interest/discount rate were considered as model inputs. Monte-Carlo Simulation (MCS) in Crystal Ball Oracle software was used to perform the sensitivity and uncertainty analyses. The base-case techno-economic results of process design of 600,000 kg/year zeolite production gave batch size 5000 kg/batch with 104 batches/year, batch time (4149 min), TCI ($15,930,306), APC ($147,145), NPV ($41,983,375), ROI (38.13 %) and PBT (2.14 years). The coefficient of determination (R2) of the economic models were 0.9978, 0.9989 and 0.9986 for NPV, ROI and IRR respectively. The optimum economic variables that maximized synthesis of 5000 kg/batch zeolite Y are UPC ($11.68), APC ($100,033) and TPC ($15,930,200). MCS uncertainty for NPV, IRR and ROI are negligible. Therefore, this study demonstrated that scale-up zeolite-Y production from the local substrate is economically feasible.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.20
自引率
0.00%
发文量
0
期刊最新文献
Investigation of the influence of crushed sand on carbonation of Mortar: Physical and microstructural analysis Biodegradable natural polymers and fibers for 3D printing: A holistic perspective on processing, characterization, and advanced applications Experimental study of phase change material (PCM) biochar composite for net-zero built environment applications Research trends on thermochromic asphalt mixtures functionalization: Bibliometric analysis and review Synergistic impact of geopolymer binder and recycled coarse aggregates on the performance of concrete masonry units
×
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