Concepts and trends of virtual commissioning – A comprehensive review

Against the background of increasing plant complexity and growing automation, virtual commissioning (VC) has emerged as a suitable way of testing control algorithms. Here, a control system at either hardware or software level is connected to a simulation model which behaves in a way reasonably simil...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Striffler, Nikolai [verfasserIn] Voigt, Tobias [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Virtual commissioning Simulation Modelling Simulation based digital twin Model generation Automatic model generation Physic-based simulation Behaviour and kinematic modelling Lifecylce-wide model use

Übergeordnetes Werk:	Enthalten in: Journal of manufacturing processes - Dearborn, Mich. : Soc., 1999, 71, Seite 664-680
Übergeordnetes Werk:	volume:71 ; pages:664-680

DOI / URN:	10.1016/j.jmsy.2023.10.013

Katalog-ID:	ELV065601459

Internformat


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520			\|a Against the background of increasing plant complexity and growing automation, virtual commissioning (VC) has emerged as a suitable way of testing control algorithms. Here, a control system at either hardware or software level is connected to a simulation model which behaves in a way reasonably similar to the real plant concerned. To date, however, VC has been used primarily by big companies only: it has not yet established itself as a standard method for SMEs. In this comprehensive review, the scientific approaches to VC have been analysed and categorised. The aim here is to give an exhaustive overview of the current state-of-the-art; to present the relevant critical challenges and to discuss current approaches. To this end, the entire spectrum of VC topics is considered. First, the technological implementation of VC is introduced. Then, the model building process is explained comprehensively, including plant analysis, finding a suitable depth of modelling and techniques for both behaviour and kinematic modelling. Based on this, methods are discussed that aim to reduce the effort involved in model creation, such as physics-based simulation and approaches to (semi-) automatic model creation. Next, the central role of VC models is presented. This is in order to discuss the potential for using cross-discipline, lifecycle-wide models from the early development phase right through to a simulation-based, digital twin. Finally, existing research gaps are highlighted and directions for exciting, new research are described.
650		4	\|a Virtual commissioning
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publishDate	2023
allfields	10.1016/j.jmsy.2023.10.013 doi (DE-627)ELV065601459 (ELSEVIER)S0278-6125(23)00214-5 DE-627 ger DE-627 rda eng 650 620 004 VZ Striffler, Nikolai verfasserin (orcid)0009-0009-6713-789X aut Concepts and trends of virtual commissioning – A comprehensive review 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Against the background of increasing plant complexity and growing automation, virtual commissioning (VC) has emerged as a suitable way of testing control algorithms. Here, a control system at either hardware or software level is connected to a simulation model which behaves in a way reasonably similar to the real plant concerned. To date, however, VC has been used primarily by big companies only: it has not yet established itself as a standard method for SMEs. In this comprehensive review, the scientific approaches to VC have been analysed and categorised. The aim here is to give an exhaustive overview of the current state-of-the-art; to present the relevant critical challenges and to discuss current approaches. To this end, the entire spectrum of VC topics is considered. First, the technological implementation of VC is introduced. Then, the model building process is explained comprehensively, including plant analysis, finding a suitable depth of modelling and techniques for both behaviour and kinematic modelling. Based on this, methods are discussed that aim to reduce the effort involved in model creation, such as physics-based simulation and approaches to (semi-) automatic model creation. Next, the central role of VC models is presented. This is in order to discuss the potential for using cross-discipline, lifecycle-wide models from the early development phase right through to a simulation-based, digital twin. Finally, existing research gaps are highlighted and directions for exciting, new research are described. Virtual commissioning Simulation Modelling Simulation based digital twin Model generation Automatic model generation Physic-based simulation Behaviour and kinematic modelling Lifecylce-wide model use Voigt, Tobias verfasserin aut Enthalten in Journal of manufacturing processes Dearborn, Mich. : Soc., 1999 71, Seite 664-680 Online-Ressource (DE-627)472650998 (DE-600)2168529-0 (DE-576)302969888 nnns volume:71 pages:664-680 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 71 664-680
spelling	10.1016/j.jmsy.2023.10.013 doi (DE-627)ELV065601459 (ELSEVIER)S0278-6125(23)00214-5 DE-627 ger DE-627 rda eng 650 620 004 VZ Striffler, Nikolai verfasserin (orcid)0009-0009-6713-789X aut Concepts and trends of virtual commissioning – A comprehensive review 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Against the background of increasing plant complexity and growing automation, virtual commissioning (VC) has emerged as a suitable way of testing control algorithms. Here, a control system at either hardware or software level is connected to a simulation model which behaves in a way reasonably similar to the real plant concerned. To date, however, VC has been used primarily by big companies only: it has not yet established itself as a standard method for SMEs. In this comprehensive review, the scientific approaches to VC have been analysed and categorised. The aim here is to give an exhaustive overview of the current state-of-the-art; to present the relevant critical challenges and to discuss current approaches. To this end, the entire spectrum of VC topics is considered. First, the technological implementation of VC is introduced. Then, the model building process is explained comprehensively, including plant analysis, finding a suitable depth of modelling and techniques for both behaviour and kinematic modelling. Based on this, methods are discussed that aim to reduce the effort involved in model creation, such as physics-based simulation and approaches to (semi-) automatic model creation. Next, the central role of VC models is presented. This is in order to discuss the potential for using cross-discipline, lifecycle-wide models from the early development phase right through to a simulation-based, digital twin. Finally, existing research gaps are highlighted and directions for exciting, new research are described. Virtual commissioning Simulation Modelling Simulation based digital twin Model generation Automatic model generation Physic-based simulation Behaviour and kinematic modelling Lifecylce-wide model use Voigt, Tobias verfasserin aut Enthalten in Journal of manufacturing processes Dearborn, Mich. : Soc., 1999 71, Seite 664-680 Online-Ressource (DE-627)472650998 (DE-600)2168529-0 (DE-576)302969888 nnns volume:71 pages:664-680 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 71 664-680
allfields_unstemmed	10.1016/j.jmsy.2023.10.013 doi (DE-627)ELV065601459 (ELSEVIER)S0278-6125(23)00214-5 DE-627 ger DE-627 rda eng 650 620 004 VZ Striffler, Nikolai verfasserin (orcid)0009-0009-6713-789X aut Concepts and trends of virtual commissioning – A comprehensive review 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Against the background of increasing plant complexity and growing automation, virtual commissioning (VC) has emerged as a suitable way of testing control algorithms. Here, a control system at either hardware or software level is connected to a simulation model which behaves in a way reasonably similar to the real plant concerned. To date, however, VC has been used primarily by big companies only: it has not yet established itself as a standard method for SMEs. In this comprehensive review, the scientific approaches to VC have been analysed and categorised. The aim here is to give an exhaustive overview of the current state-of-the-art; to present the relevant critical challenges and to discuss current approaches. To this end, the entire spectrum of VC topics is considered. First, the technological implementation of VC is introduced. Then, the model building process is explained comprehensively, including plant analysis, finding a suitable depth of modelling and techniques for both behaviour and kinematic modelling. Based on this, methods are discussed that aim to reduce the effort involved in model creation, such as physics-based simulation and approaches to (semi-) automatic model creation. Next, the central role of VC models is presented. This is in order to discuss the potential for using cross-discipline, lifecycle-wide models from the early development phase right through to a simulation-based, digital twin. Finally, existing research gaps are highlighted and directions for exciting, new research are described. Virtual commissioning Simulation Modelling Simulation based digital twin Model generation Automatic model generation Physic-based simulation Behaviour and kinematic modelling Lifecylce-wide model use Voigt, Tobias verfasserin aut Enthalten in Journal of manufacturing processes Dearborn, Mich. : Soc., 1999 71, Seite 664-680 Online-Ressource (DE-627)472650998 (DE-600)2168529-0 (DE-576)302969888 nnns volume:71 pages:664-680 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 71 664-680
allfieldsGer	10.1016/j.jmsy.2023.10.013 doi (DE-627)ELV065601459 (ELSEVIER)S0278-6125(23)00214-5 DE-627 ger DE-627 rda eng 650 620 004 VZ Striffler, Nikolai verfasserin (orcid)0009-0009-6713-789X aut Concepts and trends of virtual commissioning – A comprehensive review 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Against the background of increasing plant complexity and growing automation, virtual commissioning (VC) has emerged as a suitable way of testing control algorithms. Here, a control system at either hardware or software level is connected to a simulation model which behaves in a way reasonably similar to the real plant concerned. To date, however, VC has been used primarily by big companies only: it has not yet established itself as a standard method for SMEs. In this comprehensive review, the scientific approaches to VC have been analysed and categorised. The aim here is to give an exhaustive overview of the current state-of-the-art; to present the relevant critical challenges and to discuss current approaches. To this end, the entire spectrum of VC topics is considered. First, the technological implementation of VC is introduced. Then, the model building process is explained comprehensively, including plant analysis, finding a suitable depth of modelling and techniques for both behaviour and kinematic modelling. Based on this, methods are discussed that aim to reduce the effort involved in model creation, such as physics-based simulation and approaches to (semi-) automatic model creation. Next, the central role of VC models is presented. This is in order to discuss the potential for using cross-discipline, lifecycle-wide models from the early development phase right through to a simulation-based, digital twin. Finally, existing research gaps are highlighted and directions for exciting, new research are described. Virtual commissioning Simulation Modelling Simulation based digital twin Model generation Automatic model generation Physic-based simulation Behaviour and kinematic modelling Lifecylce-wide model use Voigt, Tobias verfasserin aut Enthalten in Journal of manufacturing processes Dearborn, Mich. : Soc., 1999 71, Seite 664-680 Online-Ressource (DE-627)472650998 (DE-600)2168529-0 (DE-576)302969888 nnns volume:71 pages:664-680 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 71 664-680
allfieldsSound	10.1016/j.jmsy.2023.10.013 doi (DE-627)ELV065601459 (ELSEVIER)S0278-6125(23)00214-5 DE-627 ger DE-627 rda eng 650 620 004 VZ Striffler, Nikolai verfasserin (orcid)0009-0009-6713-789X aut Concepts and trends of virtual commissioning – A comprehensive review 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Against the background of increasing plant complexity and growing automation, virtual commissioning (VC) has emerged as a suitable way of testing control algorithms. Here, a control system at either hardware or software level is connected to a simulation model which behaves in a way reasonably similar to the real plant concerned. To date, however, VC has been used primarily by big companies only: it has not yet established itself as a standard method for SMEs. In this comprehensive review, the scientific approaches to VC have been analysed and categorised. The aim here is to give an exhaustive overview of the current state-of-the-art; to present the relevant critical challenges and to discuss current approaches. To this end, the entire spectrum of VC topics is considered. First, the technological implementation of VC is introduced. Then, the model building process is explained comprehensively, including plant analysis, finding a suitable depth of modelling and techniques for both behaviour and kinematic modelling. Based on this, methods are discussed that aim to reduce the effort involved in model creation, such as physics-based simulation and approaches to (semi-) automatic model creation. Next, the central role of VC models is presented. This is in order to discuss the potential for using cross-discipline, lifecycle-wide models from the early development phase right through to a simulation-based, digital twin. Finally, existing research gaps are highlighted and directions for exciting, new research are described. Virtual commissioning Simulation Modelling Simulation based digital twin Model generation Automatic model generation Physic-based simulation Behaviour and kinematic modelling Lifecylce-wide model use Voigt, Tobias verfasserin aut Enthalten in Journal of manufacturing processes Dearborn, Mich. : Soc., 1999 71, Seite 664-680 Online-Ressource (DE-627)472650998 (DE-600)2168529-0 (DE-576)302969888 nnns volume:71 pages:664-680 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 71 664-680
language	English
source	Enthalten in Journal of manufacturing processes 71, Seite 664-680 volume:71 pages:664-680
sourceStr	Enthalten in Journal of manufacturing processes 71, Seite 664-680 volume:71 pages:664-680
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Virtual commissioning Simulation Modelling Simulation based digital twin Model generation Automatic model generation Physic-based simulation Behaviour and kinematic modelling Lifecylce-wide model use
dewey-raw	650
isfreeaccess_bool	false
container_title	Journal of manufacturing processes
authorswithroles_txt_mv	Striffler, Nikolai @@aut@@ Voigt, Tobias @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	472650998
dewey-sort	3650
id	ELV065601459
language_de	englisch
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author	Striffler, Nikolai
spellingShingle	Striffler, Nikolai ddc 650 misc Virtual commissioning misc Simulation misc Modelling misc Simulation based digital twin misc Model generation misc Automatic model generation misc Physic-based simulation misc Behaviour and kinematic modelling misc Lifecylce-wide model use Concepts and trends of virtual commissioning – A comprehensive review
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topic_title	650 620 004 VZ Concepts and trends of virtual commissioning – A comprehensive review Virtual commissioning Simulation Modelling Simulation based digital twin Model generation Automatic model generation Physic-based simulation Behaviour and kinematic modelling Lifecylce-wide model use
topic	ddc 650 misc Virtual commissioning misc Simulation misc Modelling misc Simulation based digital twin misc Model generation misc Automatic model generation misc Physic-based simulation misc Behaviour and kinematic modelling misc Lifecylce-wide model use
topic_unstemmed	ddc 650 misc Virtual commissioning misc Simulation misc Modelling misc Simulation based digital twin misc Model generation misc Automatic model generation misc Physic-based simulation misc Behaviour and kinematic modelling misc Lifecylce-wide model use
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title	Concepts and trends of virtual commissioning – A comprehensive review
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title_full	Concepts and trends of virtual commissioning – A comprehensive review
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title_sort	concepts and trends of virtual commissioning – a comprehensive review
title_auth	Concepts and trends of virtual commissioning – A comprehensive review
abstract	Against the background of increasing plant complexity and growing automation, virtual commissioning (VC) has emerged as a suitable way of testing control algorithms. Here, a control system at either hardware or software level is connected to a simulation model which behaves in a way reasonably similar to the real plant concerned. To date, however, VC has been used primarily by big companies only: it has not yet established itself as a standard method for SMEs. In this comprehensive review, the scientific approaches to VC have been analysed and categorised. The aim here is to give an exhaustive overview of the current state-of-the-art; to present the relevant critical challenges and to discuss current approaches. To this end, the entire spectrum of VC topics is considered. First, the technological implementation of VC is introduced. Then, the model building process is explained comprehensively, including plant analysis, finding a suitable depth of modelling and techniques for both behaviour and kinematic modelling. Based on this, methods are discussed that aim to reduce the effort involved in model creation, such as physics-based simulation and approaches to (semi-) automatic model creation. Next, the central role of VC models is presented. This is in order to discuss the potential for using cross-discipline, lifecycle-wide models from the early development phase right through to a simulation-based, digital twin. Finally, existing research gaps are highlighted and directions for exciting, new research are described.
abstractGer	Against the background of increasing plant complexity and growing automation, virtual commissioning (VC) has emerged as a suitable way of testing control algorithms. Here, a control system at either hardware or software level is connected to a simulation model which behaves in a way reasonably similar to the real plant concerned. To date, however, VC has been used primarily by big companies only: it has not yet established itself as a standard method for SMEs. In this comprehensive review, the scientific approaches to VC have been analysed and categorised. The aim here is to give an exhaustive overview of the current state-of-the-art; to present the relevant critical challenges and to discuss current approaches. To this end, the entire spectrum of VC topics is considered. First, the technological implementation of VC is introduced. Then, the model building process is explained comprehensively, including plant analysis, finding a suitable depth of modelling and techniques for both behaviour and kinematic modelling. Based on this, methods are discussed that aim to reduce the effort involved in model creation, such as physics-based simulation and approaches to (semi-) automatic model creation. Next, the central role of VC models is presented. This is in order to discuss the potential for using cross-discipline, lifecycle-wide models from the early development phase right through to a simulation-based, digital twin. Finally, existing research gaps are highlighted and directions for exciting, new research are described.
abstract_unstemmed	Against the background of increasing plant complexity and growing automation, virtual commissioning (VC) has emerged as a suitable way of testing control algorithms. Here, a control system at either hardware or software level is connected to a simulation model which behaves in a way reasonably similar to the real plant concerned. To date, however, VC has been used primarily by big companies only: it has not yet established itself as a standard method for SMEs. In this comprehensive review, the scientific approaches to VC have been analysed and categorised. The aim here is to give an exhaustive overview of the current state-of-the-art; to present the relevant critical challenges and to discuss current approaches. To this end, the entire spectrum of VC topics is considered. First, the technological implementation of VC is introduced. Then, the model building process is explained comprehensively, including plant analysis, finding a suitable depth of modelling and techniques for both behaviour and kinematic modelling. Based on this, methods are discussed that aim to reduce the effort involved in model creation, such as physics-based simulation and approaches to (semi-) automatic model creation. Next, the central role of VC models is presented. This is in order to discuss the potential for using cross-discipline, lifecycle-wide models from the early development phase right through to a simulation-based, digital twin. Finally, existing research gaps are highlighted and directions for exciting, new research are described.
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title_short	Concepts and trends of virtual commissioning – A comprehensive review
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up_date	2024-07-06T23:36:06.409Z
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