Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model. / Gulzar, Kashif; Ruusu, Reino; Sierla, Seppo; Aarnio, Pekka; Karhela, Tommi; Vyatkin, Valeriy.

Proceedings of the IEEE 16th International Conference on Industrial Informatics, INDIN 2018. Institute of Electrical and Electronics Engineers, 2018. s. 741-746 8471980 (IEEE International Conference on Industrial Informatics).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

Gulzar, K, Ruusu, R, Sierla, S, Aarnio, P, Karhela, T & Vyatkin, V 2018, Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model. julkaisussa Proceedings of the IEEE 16th International Conference on Industrial Informatics, INDIN 2018., 8471980, IEEE International Conference on Industrial Informatics, Institute of Electrical and Electronics Engineers, Sivut 741-746, Porto, Portugali, 18/07/2018. https://doi.org/10.1109/INDIN.2018.8471980

APA

Gulzar, K., Ruusu, R., Sierla, S., Aarnio, P., Karhela, T., & Vyatkin, V. (2018). Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model. teoksessa Proceedings of the IEEE 16th International Conference on Industrial Informatics, INDIN 2018 (Sivut 741-746). [8471980] (IEEE International Conference on Industrial Informatics). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/INDIN.2018.8471980

Vancouver

Gulzar K, Ruusu R, Sierla S, Aarnio P, Karhela T, Vyatkin V. Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model. julkaisussa Proceedings of the IEEE 16th International Conference on Industrial Informatics, INDIN 2018. Institute of Electrical and Electronics Engineers. 2018. s. 741-746. 8471980. (IEEE International Conference on Industrial Informatics). https://doi.org/10.1109/INDIN.2018.8471980

Author

Gulzar, Kashif ; Ruusu, Reino ; Sierla, Seppo ; Aarnio, Pekka ; Karhela, Tommi ; Vyatkin, Valeriy. / Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model. Proceedings of the IEEE 16th International Conference on Industrial Informatics, INDIN 2018. Institute of Electrical and Electronics Engineers, 2018. Sivut 741-746 (IEEE International Conference on Industrial Informatics).

Bibtex - Lataa

@inproceedings{4e49b34680c3460282599e89face9135,
title = "Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model",
abstract = "Model driven development of industrial process control systems has received extensive interest from the industrial informatics community. Another area of active interest has been the use of simulation of industrial processes in conjunction with control system design. However, the importance of sustainable development and environmental footprints are becoming increasingly important for the process industry, and Life Cycle Assessment (LCA) is the established technique for this purpose. LCA is currently being performed manually by a corps of engineers unaware of recent developments in industrial informatics. Thus LCA is a cumbersome process that cannot be integrated into a model driven development philosophy. This can significantly undermine the benefits from model driven development, since the outcome of LCA may result in significant change requests to the process design and consequently to the control system design. These problems could be overcome, if LCA could be brought under the scope of model driven development. This requires that the LCA model could be generated automatically into the LCA tool. This is feasible, since process designers ofter develop a first principles process simulation model that has the required information. This paper presents a methodology for automatic LCA model generation from a first-principles simulation model.",
keywords = "Life Cycle Assessment, Model transformation, simulation, ontology, semantic, Constraint Handling Rules",
author = "Kashif Gulzar and Reino Ruusu and Seppo Sierla and Pekka Aarnio and Tommi Karhela and Valeriy Vyatkin",
year = "2018",
month = "9",
day = "24",
doi = "10.1109/INDIN.2018.8471980",
language = "English",
series = "IEEE International Conference on Industrial Informatics",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "741--746",
booktitle = "Proceedings of the IEEE 16th International Conference on Industrial Informatics, INDIN 2018",
address = "United States",

}

RIS - Lataa

TY - GEN

T1 - Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model

AU - Gulzar, Kashif

AU - Ruusu, Reino

AU - Sierla, Seppo

AU - Aarnio, Pekka

AU - Karhela, Tommi

AU - Vyatkin, Valeriy

PY - 2018/9/24

Y1 - 2018/9/24

N2 - Model driven development of industrial process control systems has received extensive interest from the industrial informatics community. Another area of active interest has been the use of simulation of industrial processes in conjunction with control system design. However, the importance of sustainable development and environmental footprints are becoming increasingly important for the process industry, and Life Cycle Assessment (LCA) is the established technique for this purpose. LCA is currently being performed manually by a corps of engineers unaware of recent developments in industrial informatics. Thus LCA is a cumbersome process that cannot be integrated into a model driven development philosophy. This can significantly undermine the benefits from model driven development, since the outcome of LCA may result in significant change requests to the process design and consequently to the control system design. These problems could be overcome, if LCA could be brought under the scope of model driven development. This requires that the LCA model could be generated automatically into the LCA tool. This is feasible, since process designers ofter develop a first principles process simulation model that has the required information. This paper presents a methodology for automatic LCA model generation from a first-principles simulation model.

AB - Model driven development of industrial process control systems has received extensive interest from the industrial informatics community. Another area of active interest has been the use of simulation of industrial processes in conjunction with control system design. However, the importance of sustainable development and environmental footprints are becoming increasingly important for the process industry, and Life Cycle Assessment (LCA) is the established technique for this purpose. LCA is currently being performed manually by a corps of engineers unaware of recent developments in industrial informatics. Thus LCA is a cumbersome process that cannot be integrated into a model driven development philosophy. This can significantly undermine the benefits from model driven development, since the outcome of LCA may result in significant change requests to the process design and consequently to the control system design. These problems could be overcome, if LCA could be brought under the scope of model driven development. This requires that the LCA model could be generated automatically into the LCA tool. This is feasible, since process designers ofter develop a first principles process simulation model that has the required information. This paper presents a methodology for automatic LCA model generation from a first-principles simulation model.

KW - Life Cycle Assessment

KW - Model transformation

KW - simulation, ontology

KW - semantic

KW - Constraint Handling Rules

U2 - 10.1109/INDIN.2018.8471980

DO - 10.1109/INDIN.2018.8471980

M3 - Conference contribution

T3 - IEEE International Conference on Industrial Informatics

SP - 741

EP - 746

BT - Proceedings of the IEEE 16th International Conference on Industrial Informatics, INDIN 2018

PB - Institute of Electrical and Electronics Engineers

ER -

ID: 27505343