• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Pseudo Master Curve Analysis of an Infinite Number of Parallel First-Order Reactions: Improved Distributed Activation Energy Model.

作者信息

Miura Kouichi

机构信息

Kyoto University, Kyoto 615-8510, Japan.

出版信息

ACS Omega. 2024 Sep 13;9(38):39936-39955. doi: 10.1021/acsomega.4c05744. eCollection 2024 Sep 24.

DOI:10.1021/acsomega.4c05744
PMID:39346846
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11425607/
Abstract

The so-called Distributed Activation Energy Model (DAEM) has been used extensively, mainly to analyze pyrolysis reactions of solid reactants. The model expresses many parallel first-order reactions using the distributions of activation energy () and frequency factor (). Miura and Maki presented a method to estimate both () and () in the DAEM in 1998. This model has been used successfully by many researchers. In this paper more general basic equations are derived for describing an infinite number of parallel first-order reactions by extending the basic equations for the finite number of parallel first-order reactions. Revisiting the Miura-Maki method based on the general basic equations, a graphical analysis method that may be called "Pseudo Master Curve Analysis" is presented. The method not only supplements the Miura-Maki method but gives the underlying concept of the Miura-Maki method clearly. It is also shown that the graphical method can be applicable to analyze single reactions and the experimental data obtained using isothermal reaction techniques. Next, a method that improves the estimation accuracy of () is presented. Practical examples analyzing several experimental data are also given to show the usefulness and validity of the Miura-Maki method and the graphical method. Through the examination, it is proposed that the DAEM should be renamed, for example, as the Distributed Rate Constant Model (DRCM).

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/9261d55ffccd/ao4c05744_0020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/47fcd50375cd/ao4c05744_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/62e081a206e5/ao4c05744_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/f6cb58cc80d5/ao4c05744_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/b97411d17fd5/ao4c05744_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/892543091c6d/ao4c05744_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/51b942d22907/ao4c05744_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/2c36872cecbe/ao4c05744_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/554097502223/ao4c05744_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/af085f7a1d96/ao4c05744_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/58b6236a6587/ao4c05744_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/a3e2645b047c/ao4c05744_0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/3a185b3659c3/ao4c05744_0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/51446aae039e/ao4c05744_0013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/07f42822da08/ao4c05744_0014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/fbfba978b849/ao4c05744_0015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/3fd6e8640975/ao4c05744_0016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/618ace0819e5/ao4c05744_0017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/78973b20d1bb/ao4c05744_0018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/2b66b5279d45/ao4c05744_0019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/9261d55ffccd/ao4c05744_0020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/47fcd50375cd/ao4c05744_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/62e081a206e5/ao4c05744_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/f6cb58cc80d5/ao4c05744_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/b97411d17fd5/ao4c05744_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/892543091c6d/ao4c05744_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/51b942d22907/ao4c05744_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/2c36872cecbe/ao4c05744_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/554097502223/ao4c05744_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/af085f7a1d96/ao4c05744_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/58b6236a6587/ao4c05744_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/a3e2645b047c/ao4c05744_0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/3a185b3659c3/ao4c05744_0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/51446aae039e/ao4c05744_0013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/07f42822da08/ao4c05744_0014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/fbfba978b849/ao4c05744_0015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/3fd6e8640975/ao4c05744_0016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/618ace0819e5/ao4c05744_0017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/78973b20d1bb/ao4c05744_0018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/2b66b5279d45/ao4c05744_0019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/335d/11425607/9261d55ffccd/ao4c05744_0020.jpg

相似文献

1
Pseudo Master Curve Analysis of an Infinite Number of Parallel First-Order Reactions: Improved Distributed Activation Energy Model.
ACS Omega. 2024 Sep 13;9(38):39936-39955. doi: 10.1021/acsomega.4c05744. eCollection 2024 Sep 24.
2
A critical study of the Miura-Maki integral method for the estimation of the kinetic parameters of the distributed activation energy model.米乌拉-马基积分法估计分布活化能模型动力学参数的临界研究。
Bioresour Technol. 2011 Feb;102(4):3894-9. doi: 10.1016/j.biortech.2010.11.110. Epub 2010 Nov 29.
3
Studies on thermokinetic of Chlorella pyrenoidosa devolatilization via different models.不同模型下的栅藻热解动力学研究。
Bioresour Technol. 2017 Nov;244(Pt 1):320-327. doi: 10.1016/j.biortech.2017.07.144. Epub 2017 Jul 27.
4
Application of sectionalized single-step reaction approach (SSRA) and distributed activation energy model (DAEM) on the pyrolysis kinetics model of upstream oily sludge: Construction procedure and data reproducibility comparison.分段单步反应法(SSRA)和分布式活化能模型(DAEM)在上游含油污泥热解动力学模型中的应用:构建过程和数据再现性比较。
Sci Total Environ. 2021 Jun 20;774:145751. doi: 10.1016/j.scitotenv.2021.145751. Epub 2021 Feb 11.
5
Kinetic compensation effect in logistic distributed activation energy model for lignocellulosic biomass pyrolysis.木质纤维素生物质热解的逻辑斯谛分布活化能模型中的动力学补偿效应。
Bioresour Technol. 2018 Oct;265:139-145. doi: 10.1016/j.biortech.2018.05.092. Epub 2018 Jun 4.
6
New distributed activation energy model: numerical solution and application to pyrolysis kinetics of some types of biomass.新型分布式活化能模型:数值解及其在某些生物质热解动力学中的应用
Bioresour Technol. 2008 May;99(8):2795-9. doi: 10.1016/j.biortech.2007.06.033. Epub 2007 Aug 10.
7
A Monte Carlo-Based Strategy to Assess Complex Kinetics: Application of the Null-Reaction Method to DAEM.基于蒙特卡罗的复杂动力学评估策略:零反应方法在 DAEM 中的应用。
J Phys Chem A. 2023 Mar 2;127(8):1988-1997. doi: 10.1021/acs.jpca.2c06893. Epub 2023 Feb 20.
8
General distributed activation energy model (G-DAEM) on co-pyrolysis kinetics of bagasse and sewage sludge.基于蔗渣和污水污泥共热解动力学的通用分布式活化能模型(G-DAEM)。
Bioresour Technol. 2019 Feb;273:545-555. doi: 10.1016/j.biortech.2018.11.051. Epub 2018 Nov 20.
9
Development of a modified independent parallel reactions kinetic model and comparison with the distributed activation energy model for the pyrolysis of a wide variety of biomass fuels.一种改进的独立平行反应动力学模型的开发以及与多种生物质燃料热解的分布式活化能模型的比较。
Bioresour Technol. 2015 Dec;197:434-42. doi: 10.1016/j.biortech.2015.08.130. Epub 2015 Sep 1.
10
Comparative pyrolysis kinetics of various biomasses based on model-free and DAEM approaches improved with numerical optimization procedure.基于无模型和 DAEM 方法并通过数值优化程序改进的各种生物质的比较热解动力学。
PLoS One. 2018 Oct 31;13(10):e0206657. doi: 10.1371/journal.pone.0206657. eCollection 2018.

本文引用的文献

1
Modeling of the devolatilization kinetics during pyrolysis of grape residues.葡萄渣热解过程中挥发分动力学的建模。
Bioresour Technol. 2012 Jan;103(1):389-97. doi: 10.1016/j.biortech.2011.09.113. Epub 2011 Oct 2.
2
Thermogravimetric analysis and kinetic study on large particles of printed circuit board wastes.印刷电路板废弃物大颗粒的热重分析及动力学研究
Waste Manag. 2009 Aug;29(8):2353-60. doi: 10.1016/j.wasman.2009.03.020. Epub 2009 Apr 23.
3
Analysis of coals and biomass pyrolysis using the distributed activation energy model.
使用分布式活化能模型对煤和生物质热解进行分析。
Bioresour Technol. 2009 Jan;100(2):948-52. doi: 10.1016/j.biortech.2008.07.032. Epub 2008 Aug 30.