Digital Twins for Bioprocess Control Strategy Development and Realisation
New innovative Digital Twins can represent complex bioprocesses, including the biological, physico-chemical, and chemical reaction kinetics, as well as the mechanical and physical characteristics of the reactors and the involved peripherals. Digital Twins are an ideal tool for the rapid and cost-eff...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Buchkapitel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 94 |
---|---|
container_issue | |
container_start_page | 63 |
container_title | |
container_volume | 177 |
creator | Appl, Christian Moser, André Baganz, Frank Hass, Volker C. |
description | New innovative Digital Twins can represent complex bioprocesses, including the biological, physico-chemical, and chemical reaction kinetics, as well as the mechanical and physical characteristics of the reactors and the involved peripherals. Digital Twins are an ideal tool for the rapid and cost-effective development, realisation and optimisation of control and automation strategies. They may be utilised for the development and implementation of conventional controllers (e.g. temperature, dissolved oxygen, etc.), as well as for advanced control strategies (e.g. control of substrate or metabolite concentrations, multivariable controls), and the development of complete bioprocess control. This chapter describes the requirements Digital Twins must fulfil to be used for bioprocess control strategy development, and implementation and gives an overview of research projects where Digital Twins or "early-stage" Digital Twins were used in this context. Furthermore, applications of Digital Twins for the academic education of future control and bioprocess engineers as well as for the training of future bioreactor operators will be described. Finally, a case study is presented, in which an "early-stage" Digital Twin was applied for the development of control strategies of the fed-batch cultivation of Saccharomyces cerevisiae. Development, realisation and optimisation of control strategies utilising Digital Twins. |
doi_str_mv | 10.1007/10_2020_151 |
format | Book Chapter |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_springer_books_10_1007_10_2020_151</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EBC6568327_46_70</sourcerecordid><originalsourceid>FETCH-LOGICAL-c367t-efb84f08ac287422668c9160e67d86b79d78ed6ab79649939ed2b6b6b3aafbe3</originalsourceid><addsrcrecordid>eNpdkU1v1DAQhs13t6Un7ihHegiMx87YOcIWSqVKSLB3y0kmSyAbL7a3qP8eVy2iQnOYkebRfLyvEK8kvJUA5p0Eh4DgZCMfiWMFCoykhvCxWEmSVNtG45N_jUY_FSswqGuSunkujiVqQ1ZahCNxmtIPAMAGDVr1QhwphbJBZVbi8nzaTtnP1eb3tKRqDLH6MIV9DD2nVK3DkmOYq285-szbm-qcr3kO-x0vufLLUH1lP0_J5yksL8Wz0c-JT-_zidh8-rhZf66vvlxcrt9f1b0ik2seO6tHsL5HazQike1bScBkBkudaQdjeSBfKtJtq1oesKMSyvuxY3Ui3tyNLTf-OnDKbjelnufZLxwOyaEmJaEpIhT09T166HY8uH2cdj7euL_fF-DsDkiltWw5ui6En8kV7W89cA88KCz-t5dv4b4oEf3cf_f7zDG5YpFVaJwmZ0D9AdJjgIc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype><pqid>EBC6568327_46_70</pqid></control><display><type>book_chapter</type><title>Digital Twins for Bioprocess Control Strategy Development and Realisation</title><source>MEDLINE</source><source>Ebook Central Perpetual and DDA</source><creator>Appl, Christian ; Moser, André ; Baganz, Frank ; Hass, Volker C.</creator><contributor>Pörtner, Ralf ; Herwig, Christoph ; Möller, Johannes ; Pörtner, Ralf ; Möller, Johannes ; Herwig, Christoph</contributor><creatorcontrib>Appl, Christian ; Moser, André ; Baganz, Frank ; Hass, Volker C. ; Pörtner, Ralf ; Herwig, Christoph ; Möller, Johannes ; Pörtner, Ralf ; Möller, Johannes ; Herwig, Christoph</creatorcontrib><description>New innovative Digital Twins can represent complex bioprocesses, including the biological, physico-chemical, and chemical reaction kinetics, as well as the mechanical and physical characteristics of the reactors and the involved peripherals. Digital Twins are an ideal tool for the rapid and cost-effective development, realisation and optimisation of control and automation strategies. They may be utilised for the development and implementation of conventional controllers (e.g. temperature, dissolved oxygen, etc.), as well as for advanced control strategies (e.g. control of substrate or metabolite concentrations, multivariable controls), and the development of complete bioprocess control. This chapter describes the requirements Digital Twins must fulfil to be used for bioprocess control strategy development, and implementation and gives an overview of research projects where Digital Twins or "early-stage" Digital Twins were used in this context. Furthermore, applications of Digital Twins for the academic education of future control and bioprocess engineers as well as for the training of future bioreactor operators will be described. Finally, a case study is presented, in which an "early-stage" Digital Twin was applied for the development of control strategies of the fed-batch cultivation of Saccharomyces cerevisiae. Development, realisation and optimisation of control strategies utilising Digital Twins.</description><identifier>ISSN: 0724-6145</identifier><identifier>ISBN: 3030716554</identifier><identifier>ISBN: 9783030716554</identifier><identifier>EISSN: 1616-8542</identifier><identifier>EISBN: 3030716562</identifier><identifier>EISBN: 9783030716561</identifier><identifier>DOI: 10.1007/10_2020_151</identifier><identifier>OCLC: 1247681820</identifier><identifier>PMID: 33215237</identifier><identifier>LCCallNum: TP248.13-.65</identifier><language>eng</language><publisher>Switzerland: Springer International Publishing AG</publisher><subject>Automation ; Bioprocess ; Bioreactors ; Control strategy development ; Digital Twin ; Operator training simulator (OTS) ; Oxygen ; Saccharomyces cerevisiae</subject><ispartof>Advances in biochemical engineering, biotechnology, 2021, Vol.177, p.63-94</ispartof><rights>Springer Nature Switzerland AG 2020</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c367t-efb84f08ac287422668c9160e67d86b79d78ed6ab79649939ed2b6b6b3aafbe3</citedby><relation>Advances in Biochemical Engineering/Biotechnology</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/6568327-l.jpg</thumbnail><link.rule.ids>775,776,780,789,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33215237$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Pörtner, Ralf</contributor><contributor>Herwig, Christoph</contributor><contributor>Möller, Johannes</contributor><contributor>Pörtner, Ralf</contributor><contributor>Möller, Johannes</contributor><contributor>Herwig, Christoph</contributor><creatorcontrib>Appl, Christian</creatorcontrib><creatorcontrib>Moser, André</creatorcontrib><creatorcontrib>Baganz, Frank</creatorcontrib><creatorcontrib>Hass, Volker C.</creatorcontrib><title>Digital Twins for Bioprocess Control Strategy Development and Realisation</title><title>Advances in biochemical engineering, biotechnology</title><addtitle>Adv Biochem Eng Biotechnol</addtitle><description>New innovative Digital Twins can represent complex bioprocesses, including the biological, physico-chemical, and chemical reaction kinetics, as well as the mechanical and physical characteristics of the reactors and the involved peripherals. Digital Twins are an ideal tool for the rapid and cost-effective development, realisation and optimisation of control and automation strategies. They may be utilised for the development and implementation of conventional controllers (e.g. temperature, dissolved oxygen, etc.), as well as for advanced control strategies (e.g. control of substrate or metabolite concentrations, multivariable controls), and the development of complete bioprocess control. This chapter describes the requirements Digital Twins must fulfil to be used for bioprocess control strategy development, and implementation and gives an overview of research projects where Digital Twins or "early-stage" Digital Twins were used in this context. Furthermore, applications of Digital Twins for the academic education of future control and bioprocess engineers as well as for the training of future bioreactor operators will be described. Finally, a case study is presented, in which an "early-stage" Digital Twin was applied for the development of control strategies of the fed-batch cultivation of Saccharomyces cerevisiae. Development, realisation and optimisation of control strategies utilising Digital Twins.</description><subject>Automation</subject><subject>Bioprocess</subject><subject>Bioreactors</subject><subject>Control strategy development</subject><subject>Digital Twin</subject><subject>Operator training simulator (OTS)</subject><subject>Oxygen</subject><subject>Saccharomyces cerevisiae</subject><issn>0724-6145</issn><issn>1616-8542</issn><isbn>3030716554</isbn><isbn>9783030716554</isbn><isbn>3030716562</isbn><isbn>9783030716561</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2021</creationdate><recordtype>book_chapter</recordtype><sourceid>EIF</sourceid><recordid>eNpdkU1v1DAQhs13t6Un7ihHegiMx87YOcIWSqVKSLB3y0kmSyAbL7a3qP8eVy2iQnOYkebRfLyvEK8kvJUA5p0Eh4DgZCMfiWMFCoykhvCxWEmSVNtG45N_jUY_FSswqGuSunkujiVqQ1ZahCNxmtIPAMAGDVr1QhwphbJBZVbi8nzaTtnP1eb3tKRqDLH6MIV9DD2nVK3DkmOYq285-szbm-qcr3kO-x0vufLLUH1lP0_J5yksL8Wz0c-JT-_zidh8-rhZf66vvlxcrt9f1b0ik2seO6tHsL5HazQike1bScBkBkudaQdjeSBfKtJtq1oesKMSyvuxY3Ui3tyNLTf-OnDKbjelnufZLxwOyaEmJaEpIhT09T166HY8uH2cdj7euL_fF-DsDkiltWw5ui6En8kV7W89cA88KCz-t5dv4b4oEf3cf_f7zDG5YpFVaJwmZ0D9AdJjgIc</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Appl, Christian</creator><creator>Moser, André</creator><creator>Baganz, Frank</creator><creator>Hass, Volker C.</creator><general>Springer International Publishing AG</general><general>Springer International Publishing</general><scope>FFUUA</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>20210101</creationdate><title>Digital Twins for Bioprocess Control Strategy Development and Realisation</title><author>Appl, Christian ; Moser, André ; Baganz, Frank ; Hass, Volker C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c367t-efb84f08ac287422668c9160e67d86b79d78ed6ab79649939ed2b6b6b3aafbe3</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Automation</topic><topic>Bioprocess</topic><topic>Bioreactors</topic><topic>Control strategy development</topic><topic>Digital Twin</topic><topic>Operator training simulator (OTS)</topic><topic>Oxygen</topic><topic>Saccharomyces cerevisiae</topic><toplevel>online_resources</toplevel><creatorcontrib>Appl, Christian</creatorcontrib><creatorcontrib>Moser, André</creatorcontrib><creatorcontrib>Baganz, Frank</creatorcontrib><creatorcontrib>Hass, Volker C.</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Appl, Christian</au><au>Moser, André</au><au>Baganz, Frank</au><au>Hass, Volker C.</au><au>Pörtner, Ralf</au><au>Herwig, Christoph</au><au>Möller, Johannes</au><au>Pörtner, Ralf</au><au>Möller, Johannes</au><au>Herwig, Christoph</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Digital Twins for Bioprocess Control Strategy Development and Realisation</atitle><btitle>Advances in biochemical engineering, biotechnology</btitle><addtitle>Adv Biochem Eng Biotechnol</addtitle><seriestitle>Advances in Biochemical Engineering/Biotechnology</seriestitle><date>2021-01-01</date><risdate>2021</risdate><volume>177</volume><spage>63</spage><epage>94</epage><pages>63-94</pages><issn>0724-6145</issn><eissn>1616-8542</eissn><isbn>3030716554</isbn><isbn>9783030716554</isbn><eisbn>3030716562</eisbn><eisbn>9783030716561</eisbn><abstract>New innovative Digital Twins can represent complex bioprocesses, including the biological, physico-chemical, and chemical reaction kinetics, as well as the mechanical and physical characteristics of the reactors and the involved peripherals. Digital Twins are an ideal tool for the rapid and cost-effective development, realisation and optimisation of control and automation strategies. They may be utilised for the development and implementation of conventional controllers (e.g. temperature, dissolved oxygen, etc.), as well as for advanced control strategies (e.g. control of substrate or metabolite concentrations, multivariable controls), and the development of complete bioprocess control. This chapter describes the requirements Digital Twins must fulfil to be used for bioprocess control strategy development, and implementation and gives an overview of research projects where Digital Twins or "early-stage" Digital Twins were used in this context. Furthermore, applications of Digital Twins for the academic education of future control and bioprocess engineers as well as for the training of future bioreactor operators will be described. Finally, a case study is presented, in which an "early-stage" Digital Twin was applied for the development of control strategies of the fed-batch cultivation of Saccharomyces cerevisiae. Development, realisation and optimisation of control strategies utilising Digital Twins.</abstract><cop>Switzerland</cop><pub>Springer International Publishing AG</pub><pmid>33215237</pmid><doi>10.1007/10_2020_151</doi><oclcid>1247681820</oclcid><tpages>32</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0724-6145 |
ispartof | Advances in biochemical engineering, biotechnology, 2021, Vol.177, p.63-94 |
issn | 0724-6145 1616-8542 |
language | eng |
recordid | cdi_springer_books_10_1007_10_2020_151 |
source | MEDLINE; Ebook Central Perpetual and DDA |
subjects | Automation Bioprocess Bioreactors Control strategy development Digital Twin Operator training simulator (OTS) Oxygen Saccharomyces cerevisiae |
title | Digital Twins for Bioprocess Control Strategy Development and Realisation |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T03%3A22%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=Digital%20Twins%20for%20Bioprocess%20Control%20Strategy%20Development%20and%20Realisation&rft.btitle=Advances%20in%20biochemical%20engineering,%20biotechnology&rft.au=Appl,%20Christian&rft.date=2021-01-01&rft.volume=177&rft.spage=63&rft.epage=94&rft.pages=63-94&rft.issn=0724-6145&rft.eissn=1616-8542&rft.isbn=3030716554&rft.isbn_list=9783030716554&rft_id=info:doi/10.1007/10_2020_151&rft_dat=%3Cproquest_pubme%3EEBC6568327_46_70%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&rft.eisbn=3030716562&rft.eisbn_list=9783030716561&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC6568327_46_70&rft_id=info:pmid/33215237&rfr_iscdi=true |