schliessen

Filtern

 

Bibliotheken

Meso-scale oriented simulation towards virtual process engineering (VPE) - The EMMS Paradigm

With the dramatic development of computational science and technology, computer simulation is playing an increasingly important role in scientific research and engineering practice, and is believed to bring about a profound revolution to the mode and means of these activities. For chemical engineeri... Full description

Journal Title: Chemical Engineering Science October 1, 2011, Vol.66(19), pp.4426-4458
Main Author: Ge, Wei
Other Authors: Wang, Wei , Yang, Ning , Li, Jinghai , Kwauk, Mooson , Chen, Feiguo , Chen, Jianhua , Fang, Xiaojian , Guo, Li , He, Xianfeng , Liu, Xinhua , Liu, Yaning , Lu, Bona , Wang, Jian , Wang, Junwu , Wang, Limin , Wang, Xiaowei , Xiong, Qingang , Xu, Ming , Deng, Lijuan , Han, Yongsheng , Hou, Chaofeng , Hua, Leina , Huang, Wenlai , Li, Bo , Li, Chengxiang , Li, Fei , Ren, Ying , Xu, Ji , Zhang, Nan , Zhang, Yun , Zhou, Guofeng , Zhou, Guangzheng
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0009-2509 ; DOI: 10.1016/j.ces.2011.05.029
Link: http://search.proquest.com/docview/899166320/?pq-origsite=primo
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: proquest899166320
title: Meso-scale oriented simulation towards virtual process engineering (VPE) - The EMMS Paradigm
format: Article
creator:
  • Ge, Wei
  • Wang, Wei
  • Yang, Ning
  • Li, Jinghai
  • Kwauk, Mooson
  • Chen, Feiguo
  • Chen, Jianhua
  • Fang, Xiaojian
  • Guo, Li
  • He, Xianfeng
  • Liu, Xinhua
  • Liu, Yaning
  • Lu, Bona
  • Wang, Jian
  • Wang, Junwu
  • Wang, Limin
  • Wang, Xiaowei
  • Xiong, Qingang
  • Xu, Ming
  • Deng, Lijuan
  • Han, Yongsheng
  • Hou, Chaofeng
  • Hua, Leina
  • Huang, Wenlai
  • Li, Bo
  • Li, Chengxiang
  • Li, Fei
  • Ren, Ying
  • Xu, Ji
  • Zhang, Nan
  • Zhang, Yun
  • Zhou, Guofeng
  • Zhou, Guangzheng
subjects:
  • Mathematical Models
  • Fluidization
  • Hybrids
  • Chemical Engineering
  • Research
  • Computer Programs
  • Hybrids
  • Chemical Engineering
  • Reviews
  • Simulation
  • Fluidization
  • Turbulence
  • Research Programs
  • Technology
  • Energy
  • Hydrodynamics, Wave, Current and Ice Forces
  • Complex System
  • Gpu Computing
  • Meso-Scale
  • Multi-Phase Flow
  • Multi-Scale
  • Virtual Process Engineering
ispartof: Chemical Engineering Science, October 1, 2011, Vol.66(19), pp.4426-4458
description: With the dramatic development of computational science and technology, computer simulation is playing an increasingly important role in scientific research and engineering practice, and is believed to bring about a profound revolution to the mode and means of these activities. For chemical engineering, it will promote the transition from an experience-and-experiment-based research and development mode to the one based on virtual process engineering (VPE). However, such a revolution still requires tremendous improvements in the Accuracy of physical modeling and numerical methods, the Capability of the computing hardware and software, and the Efficiency of the simulation activities, or in short, ACE. This article will systematically review the 3-decade endeavors at IPE, CAS (Institute of Process Engineering, Chinese Academy of Sciences) on upgrading ACE by establishing a multi-scale computing paradigm focusing on meso-scale structures. We also report recent developments in this direction with projections on future work. Meso-scales refer to the intermediate scales at which the discrete elements in a system interact to shape the global behavior of the system. Reasonable description of the structures at such scales is a bottleneck for reliable and accurate modeling of global behaviors. To address this problem, we started from gas-solid flow by proposing the energy minimization multi-scale (EMMS) model to quantify the hydrodynamics of meso-scale structures in gas-solid fluidization. This model, that is, its stability condition, was thoroughly analyzed and verified with the pseudo-particle modeling (PPM) method. Other systems, such as turbulence and gas-liquid flow, were then studied following the same strategy, revealing the ubiquity of stability conditions for meso-scale structures as a result of the compromise among different dominant mechanisms, and leading to a generalized model mathematically formulated as a multi-objective variational (MOV) problem. Meanwhile, along with wider industrial applications of the EMMS-based simulation methods, common features were recognized that ACE requires structural consistency among the simulated system, the physical model, the numerical software and the computing hardware under the umbrella of MOV, which we have named as the EMMS Paradigm. The EMMS Paradigm was first implemented from the software level using traditional computing hardware to achieve Accuracy. Since 2007, with the development of general-purpose GPU (graphi
language: eng
source:
identifier: ISSN: 0009-2509 ; DOI: 10.1016/j.ces.2011.05.029
fulltext: no_fulltext
issn:
  • 00092509
  • 0009-2509
url: Link


@attributes
ID454665606
RANK0.07
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
LOCALfalse
PrimoNMBib
record
control
sourcerecordid899166320
sourceidproquest
recordidTN_proquest899166320
sourcesystemPC
pqid899166320
galeid264227480
display
typearticle
titleMeso-scale oriented simulation towards virtual process engineering (VPE) - The EMMS Paradigm
creatorGe, Wei ; Wang, Wei ; Yang, Ning ; Li, Jinghai ; Kwauk, Mooson ; Chen, Feiguo ; Chen, Jianhua ; Fang, Xiaojian ; Guo, Li ; He, Xianfeng ; Liu, Xinhua ; Liu, Yaning ; Lu, Bona ; Wang, Jian ; Wang, Junwu ; Wang, Limin ; Wang, Xiaowei ; Xiong, Qingang ; Xu, Ming ; Deng, Lijuan ; Han, Yongsheng ; Hou, Chaofeng ; Hua, Leina ; Huang, Wenlai ; Li, Bo ; Li, Chengxiang ; Li, Fei ; Ren, Ying ; Xu, Ji ; Zhang, Nan ; Zhang, Yun ; Zhou, Guofeng ; Zhou, Guangzheng
contributorHe, Xianfeng (correspondence author)
ispartofChemical Engineering Science, October 1, 2011, Vol.66(19), pp.4426-4458
identifierISSN: 0009-2509 ; DOI: 10.1016/j.ces.2011.05.029
subjectMathematical Models ; Fluidization ; Hybrids ; Chemical Engineering ; Research ; Computer Programs ; Hybrids ; Chemical Engineering ; Reviews ; Simulation ; Fluidization ; Turbulence ; Research Programs ; Technology ; Energy ; Hydrodynamics, Wave, Current and Ice Forces ; Complex System ; Gpu Computing ; Meso-Scale ; Multi-Phase Flow ; Multi-Scale ; Virtual Process Engineering
descriptionWith the dramatic development of computational science and technology, computer simulation is playing an increasingly important role in scientific research and engineering practice, and is believed to bring about a profound revolution to the mode and means of these activities. For chemical engineering, it will promote the transition from an experience-and-experiment-based research and development mode to the one based on virtual process engineering (VPE). However, such a revolution still requires tremendous improvements in the Accuracy of physical modeling and numerical methods, the Capability of the computing hardware and software, and the Efficiency of the simulation activities, or in short, ACE. This article will systematically review the 3-decade endeavors at IPE, CAS (Institute of Process Engineering, Chinese Academy of Sciences) on upgrading ACE by establishing a multi-scale computing paradigm focusing on meso-scale structures. We also report recent developments in this direction with projections on future work. Meso-scales refer to the intermediate scales at which the discrete elements in a system interact to shape the global behavior of the system. Reasonable description of the structures at such scales is a bottleneck for reliable and accurate modeling of global behaviors. To address this problem, we started from gas-solid flow by proposing the energy minimization multi-scale (EMMS) model to quantify the hydrodynamics of meso-scale structures in gas-solid fluidization. This model, that is, its stability condition, was thoroughly analyzed and verified with the pseudo-particle modeling (PPM) method. Other systems, such as turbulence and gas-liquid flow, were then studied following the same strategy, revealing the ubiquity of stability conditions for meso-scale structures as a result of the compromise among different dominant mechanisms, and leading to a generalized model mathematically formulated as a multi-objective variational (MOV) problem. Meanwhile, along with wider industrial applications of the EMMS-based simulation methods, common features were recognized that ACE requires structural consistency among the simulated system, the physical model, the numerical software and the computing hardware under the umbrella of MOV, which we have named as the EMMS Paradigm. The EMMS Paradigm was first implemented from the software level using traditional computing hardware to achieve Accuracy. Since 2007, with the development of general-purpose GPU (graphic processing unit) computing, CPU (central processing unit)-GPU hybrid computing was deployed to implement the Paradigm from the hardware level, boosting the Capability to Petaflops range. In applying the Paradigm to the development of an industrial petro-chemical process (maximizing iso-paraffins, MIP), enabling technologies such as pre- and post-processing, error-tolerance, network-based computing and seamless integration of different simulation methods are now under development, which will greatly improve the Efficiency. A demonstration virtual laboratory featuring the comparison and interaction of online measurement and real-time computing is under construction. With these endeavors, an industrial process could be simulated globally in almost real-time, and different levels of details could be traced from the global distribution of flow parameters in a reactor to the inner-channels of catalytic particles at a perceivable evolution speed. The realization of VPE is, therefore, in the foreseeable future.
languageeng
source
version6
lds50peer_reviewed
links
openurl$$Topenurl_article
openurlfulltext$$Topenurlfull_article
backlink$$Uhttp://search.proquest.com/docview/899166320/?pq-origsite=primo$$EView_record_in_ProQuest_(subscribers_only)
search
creatorcontrib
0Ge, Wei
1Wang, Wei
2Yang, Ning
3Li, Jinghai
4Kwauk, Mooson
5Chen, Feiguo
6Chen, Jianhua
7Fang, Xiaojian
8Guo, Li
9He, Xianfeng
10Liu, Xinhua
11Liu, Yaning
12Lu, Bona
13Wang, Jian
14Wang, Junwu
15Wang, Limin
16Wang, Xiaowei
17Xiong, Qingang
18Xu, Ming
19Deng, Lijuan
20Han, Yongsheng
21Hou, Chaofeng
22Hua, Leina
23Huang, Wenlai
24Li, Bo
25Li, Chengxiang
26Li, Fei
27Ren, Ying
28Xu, Ji
29Zhang, Nan
30Zhang, Yun
31Zhou, Guofeng
32Zhou, Guangzheng
titleMeso-scale oriented simulation towards virtual process engineering (VPE) - The EMMS Paradigm
descriptionWith the dramatic development of computational science and technology, computer simulation is playing an increasingly important role in scientific research and engineering practice, and is believed to bring about a profound revolution to the mode and means of these activities. For chemical engineering, it will promote the transition from an experience-and-experiment-based research and development mode to the one based on virtual process engineering (VPE). However, such a revolution still requires tremendous improvements in the Accuracy of physical modeling and numerical methods, the Capability of the computing hardware and software, and the Efficiency of the simulation activities, or in short, ACE. This article will systematically review the 3-decade endeavors at IPE, CAS (Institute of Process Engineering, Chinese Academy of Sciences) on upgrading ACE by establishing a multi-scale computing paradigm focusing on meso-scale structures. We also report recent developments in this direction with projections on future work. Meso-scales refer to the intermediate scales at which the discrete elements in a system interact to shape the global behavior of the system. Reasonable description of the structures at such scales is a bottleneck for reliable and accurate modeling of global behaviors. To address this problem, we started from gas-solid flow by proposing the energy minimization multi-scale (EMMS) model to quantify the hydrodynamics of meso-scale structures in gas-solid fluidization. This model, that is, its stability condition, was thoroughly analyzed and verified with the pseudo-particle modeling (PPM) method. Other systems, such as turbulence and gas-liquid flow, were then studied following the same strategy, revealing the ubiquity of stability conditions for meso-scale structures as a result of the compromise among different dominant mechanisms, and leading to a generalized model mathematically formulated as a multi-objective variational (MOV) problem. Meanwhile, along with wider industrial applications of the EMMS-based simulation methods, common features were recognized that ACE requires structural consistency among the simulated system, the physical model, the numerical software and the computing hardware under the umbrella of MOV, which we have named as the EMMS Paradigm. The EMMS Paradigm was first implemented from the software level using traditional computing hardware to achieve Accuracy. Since 2007, with the development of general-purpose GPU (graphic processing unit) computing, CPU (central processing unit)-GPU hybrid computing was deployed to implement the Paradigm from the hardware level, boosting the Capability to Petaflops range. In applying the Paradigm to the development of an industrial petro-chemical process (maximizing iso-paraffins, MIP), enabling technologies such as pre- and post-processing, error-tolerance, network-based computing and seamless integration of different simulation methods are now under development, which will greatly improve the Efficiency. A demonstration virtual laboratory featuring the comparison and interaction of online measurement and real-time computing is under construction. With these endeavors, an industrial process could be simulated globally in almost real-time, and different levels of details could be traced from the global distribution of flow parameters in a reactor to the inner-channels of catalytic particles at a perceivable evolution speed. The realization of VPE is, therefore, in the foreseeable future.
subject
0Mathematical Models
1Fluidization
2Hybrids
3Chemical Engineering
4Research
5Computer Programs
6Reviews
7Simulation
8Turbulence
9Research Programs
10Technology
11Energy
12Hydrodynamics, Wave, Current and Ice Forces
13Complex System
14Gpu Computing
15Meso-Scale
16Multi-Phase Flow
17Multi-Scale
18Virtual Process Engineering
19ENA 03
20Q2 09284
21Complex system
22GPU computing
23Meso-scale
24Multi-phase flow
25Multi-scale
26Virtual process engineering
general
0English
110.1016/j.ces.2011.05.029
2ASFA: Aquatic Sciences and Fisheries Abstracts
3Environment Abstracts
4ProQuest Aquatic Science Collection
5ProQuest Environmental Science Collection
6ProQuest Natural Science Collection
7ProQuest SciTech Collection
8Agricultural & Environmental Science Database
9Earth, Atmospheric & Aquatic Science Database
10Natural Science Collection
11SciTech Premium Collection
sourceidproquest
recordidproquest899166320
issn
000092509
10009-2509
rsrctypearticle
creationdate2011
addtitleChemical Engineering Science
searchscope
01007427
11007918
21007944
310000003
410000006
510000029
610000036
710000043
810000050
910000120
1010000197
1110000198
1210000200
1310000209
1410000217
1510000234
1610000244
1710000253
1810000260
19proquest
scope
01007427
11007918
21007944
310000003
410000006
510000029
610000036
710000043
810000050
910000120
1010000197
1110000198
1210000200
1310000209
1410000217
1510000234
1610000244
1710000253
1810000260
19proquest
lsr43
01007427false
11007918false
21007944false
310000003false
410000006false
510000029false
610000036false
710000043false
810000050false
910000120false
1010000197false
1110000198false
1210000200false
1310000209false
1410000217false
1510000234false
1610000244false
1710000253false
1810000260false
contributorHe, Xianfeng
startdate20111001
enddate20111001
citationpf 4426 pt 4458 vol 66 issue 19
lsr30VSR-Enriched:[pqid, galeid, eissn]
sort
titleMeso-scale oriented simulation towards virtual process engineering (VPE) - The EMMS Paradigm
authorGe, Wei ; Wang, Wei ; Yang, Ning ; Li, Jinghai ; Kwauk, Mooson ; Chen, Feiguo ; Chen, Jianhua ; Fang, Xiaojian ; Guo, Li ; He, Xianfeng ; Liu, Xinhua ; Liu, Yaning ; Lu, Bona ; Wang, Jian ; Wang, Junwu ; Wang, Limin ; Wang, Xiaowei ; Xiong, Qingang ; Xu, Ming ; Deng, Lijuan ; Han, Yongsheng ; Hou, Chaofeng ; Hua, Leina ; Huang, Wenlai ; Li, Bo ; Li, Chengxiang ; Li, Fei ; Ren, Ying ; Xu, Ji ; Zhang, Nan ; Zhang, Yun ; Zhou, Guofeng ; Zhou, Guangzheng
creationdate20111001
lso0120111001
facets
frbrgroupid7532749446154625634
frbrtype5
languageeng
creationdate2011
topic
0Mathematical Models
1Fluidization
2Hybrids
3Chemical Engineering
4Research
5Computer Programs
6Reviews
7Simulation
8Turbulence
9Research Programs
10Technology
11Energy
12Hydrodynamics, Wave, Current and Ice Forces
13Complex System
14Gpu Computing
15Meso-Scale
16Multi-Phase Flow
17Multi-Scale
18Virtual Process Engineering
collection
0ASFA: Aquatic Sciences and Fisheries Abstracts
1Environment Abstracts
2ProQuest Aquatic Science Collection
3ProQuest Environmental Science Collection
4ProQuest Natural Science Collection
5ProQuest SciTech Collection
6Agricultural & Environmental Science Database
7Earth, Atmospheric & Aquatic Science Database
8Natural Science Collection
9SciTech Premium Collection
prefilterarticles
rsrctypearticles
creatorcontrib
0Ge, Wei
1Wang, Wei
2Yang, Ning
3Li, Jinghai
4Kwauk, Mooson
5Chen, Feiguo
6Chen, Jianhua
7Fang, Xiaojian
8Guo, Li
9He, Xianfeng
10Liu, Xinhua
11Liu, Yaning
12Lu, Bona
13Wang, Jian
14Wang, Junwu
15Wang, Limin
16Wang, Xiaowei
17Xiong, Qingang
18Xu, Ming
19Deng, Lijuan
20Han, Yongsheng
21Hou, Chaofeng
22Hua, Leina
23Huang, Wenlai
24Li, Bo
25Li, Chengxiang
26Li, Fei
27Ren, Ying
28Xu, Ji
29Zhang, Nan
30Zhang, Yun
31Zhou, Guofeng
32Zhou, Guangzheng
jtitleChemical Engineering Science
toplevelpeer_reviewed
delivery
delcategoryRemote Search Resource
fulltextno_fulltext
addata
aulast
0Ge
1Wang
2Yang
3Li
4Kwauk
5Chen
6Fang
7Guo
8He
9Liu
10Lu
11Xiong
12Xu
13Deng
14Han
15Hou
16Hua
17Huang
18Ren
19Zhang
20Zhou
aufirst
0Wei
1Ning
2Jinghai
3Mooson
4Feiguo
5Jianhua
6Xiaojian
7Li
8Xianfeng
9Xinhua
10Yaning
11Bona
12Jian
13Junwu
14Limin
15Xiaowei
16Qingang
17Ming
18Lijuan
19Yongsheng
20Chaofeng
21Leina
22Wenlai
23Bo
24Chengxiang
25Fei
26Ying
27Ji
28Nan
29Yun
30Guofeng
31Guangzheng
au
0Ge, Wei
1Wang, Wei
2Yang, Ning
3Li, Jinghai
4Kwauk, Mooson
5Chen, Feiguo
6Chen, Jianhua
7Fang, Xiaojian
8Guo, Li
9He, Xianfeng
10Liu, Xinhua
11Liu, Yaning
12Lu, Bona
13Wang, Jian
14Wang, Junwu
15Wang, Limin
16Wang, Xiaowei
17Xiong, Qingang
18Xu, Ming
19Deng, Lijuan
20Han, Yongsheng
21Hou, Chaofeng
22Hua, Leina
23Huang, Wenlai
24Li, Bo
25Li, Chengxiang
26Li, Fei
27Ren, Ying
28Xu, Ji
29Zhang, Nan
30Zhang, Yun
31Zhou, Guofeng
32Zhou, Guangzheng
addauHe, Xianfeng
atitleMeso-scale oriented simulation towards virtual process engineering (VPE) - The EMMS Paradigm
jtitleChemical Engineering Science
risdate20111001
volume66
issue19
spage4426
epage4458
pages4426-4458
issn0009-2509
formatjournal
genrearticle
ristypeJOUR
abstractWith the dramatic development of computational science and technology, computer simulation is playing an increasingly important role in scientific research and engineering practice, and is believed to bring about a profound revolution to the mode and means of these activities. For chemical engineering, it will promote the transition from an experience-and-experiment-based research and development mode to the one based on virtual process engineering (VPE). However, such a revolution still requires tremendous improvements in the Accuracy of physical modeling and numerical methods, the Capability of the computing hardware and software, and the Efficiency of the simulation activities, or in short, ACE. This article will systematically review the 3-decade endeavors at IPE, CAS (Institute of Process Engineering, Chinese Academy of Sciences) on upgrading ACE by establishing a multi-scale computing paradigm focusing on meso-scale structures. We also report recent developments in this direction with projections on future work. Meso-scales refer to the intermediate scales at which the discrete elements in a system interact to shape the global behavior of the system. Reasonable description of the structures at such scales is a bottleneck for reliable and accurate modeling of global behaviors. To address this problem, we started from gas-solid flow by proposing the energy minimization multi-scale (EMMS) model to quantify the hydrodynamics of meso-scale structures in gas-solid fluidization. This model, that is, its stability condition, was thoroughly analyzed and verified with the pseudo-particle modeling (PPM) method. Other systems, such as turbulence and gas-liquid flow, were then studied following the same strategy, revealing the ubiquity of stability conditions for meso-scale structures as a result of the compromise among different dominant mechanisms, and leading to a generalized model mathematically formulated as a multi-objective variational (MOV) problem. Meanwhile, along with wider industrial applications of the EMMS-based simulation methods, common features were recognized that ACE requires structural consistency among the simulated system, the physical model, the numerical software and the computing hardware under the umbrella of MOV, which we have named as the EMMS Paradigm. The EMMS Paradigm was first implemented from the software level using traditional computing hardware to achieve Accuracy. Since 2007, with the development of general-purpose GPU (graphic processing unit) computing, CPU (central processing unit)-GPU hybrid computing was deployed to implement the Paradigm from the hardware level, boosting the Capability to Petaflops range. In applying the Paradigm to the development of an industrial petro-chemical process (maximizing iso-paraffins, MIP), enabling technologies such as pre- and post-processing, error-tolerance, network-based computing and seamless integration of different simulation methods are now under development, which will greatly improve the Efficiency. A demonstration virtual laboratory featuring the comparison and interaction of online measurement and real-time computing is under construction. With these endeavors, an industrial process could be simulated globally in almost real-time, and different levels of details could be traced from the global distribution of flow parameters in a reactor to the inner-channels of catalytic particles at a perceivable evolution speed. The realization of VPE is, therefore, in the foreseeable future.
doi10.1016/j.ces.2011.05.029
urlhttp://search.proquest.com/docview/899166320/
eissn18734405
date2011-10-01