Výsledky vyhledávání - "Tommi Karhela"

Akademický článek

Applying Modelica Tools to System Dynamics Based Learning Games: Project Management Game

Autor: Tuomas Miettinen, Juho Salmi, Kunal Gupta, Jussi Koskela, Janne Kauttio, Tommi Karhela, Sampsa Ruutu

Publikováno v: Modelling and Simulation in Engineering, Vol 2016 (2016)

Learning simulation games are interactive simulations with game characteristics. This paper presents a learning simulation game for EPCM (engineering, procurement, and construction management) project management training. The simulation model utilise

Externí odkaz: https://doaj.org/article/f533a86d08d3493686f2d0da72faf5e0

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Optimizing life-cycle costs for pumps and powertrains using FMI co-simulation

Autor: Antti Lukkari, Jouni Savolainen, Miro Eklund, Tommi Karhela

Publikováno v: Linköping Electronic Conference Proceedings.

This paper describes a collaborative digital twin approach for equipment dimensioning and selection in industrial process plants. Dynamic process simulator (Apros) was used to model the process and its automation, including pumps, while a product spe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e73b81c202cd5a9cec975528605e1ba5
https://doi.org/10.3384/ecp21181681

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Software-Defined Decentralized Domestic Wastewater Treatment: 1st Milestone

Autor: Di Wu, Tommi Karhela, Anna Mikola, Valeriy Vyatkin, Wenbin Dai, Cheng Pang

Publikováno v: IECON

Water scarcity has been intensified globally due to the rapid growth of economic and population. Wastewater treatment and recycling is one of the most feasible strategies for meeting the ever-increasing water usage. However, conventional centralized

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::494f93b8db23e71b369884f2a8f75148
https://doi.org/10.1109/iecon43393.2020.9254581

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Automatic Generation of a High-Fidelity Dynamic Thermal-hydraulic Process Simulation Model from a 3D Plant Model

Autor: Jari Lappalainen, Gerardo Santillan Martinez, Seppo Sierla, Valeriy Vyatkin, Tommi Karhela

Publikováno v: IEEE Access, Vol 6, Pp 45217-45232 (2018)
Santillán Martínez, G, Sierla, S, Karhela, T, Lappalainen, J & Vyatkin, V 2018, ' Automatic Generation of a High-Fidelity Dynamic Thermal-hydraulic Process Simulation Model from a 3D Plant Model ', IEEE Access, vol. 6, 8434288, pp. 45217-45232 . https://doi.org/10.1109/ACCESS.2018.2865206

Dynamic thermal-hydraulic simulation models have been extensively used by process industry for decision support in sectors such as power generation, mineral processing, pulp and paper, and oil and gas. Ever-growing competitiveness in the process indu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b95fe18a25c38a19faf5fee782c1fa
http://juuli.fi/Record/0333048618

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An Integrated Implementation Methodology of a Lifecycle-Wide Tracking Simulation Architecture

Autor: Reino Ruusu, Seppo Sierla, Tommi Karhela, G. Santillan Martinez, Valeriy Vyatkin

Publikováno v: IEEE Access, Vol 6, Pp 15391-15407 (2018)
Martinez, G S, Karhela, T, Ruusu, R, Sierla, S & Vyatkin, V 2018, ' An Integrated Implementation Methodology of a Lifecycle-wide Tracking Simulation Architecture ', IEEE Access, vol. 6, pp. 15391-15407 . https://doi.org/10.1109/ACCESS.2018.2811845

A tracking simulator is a decision support application in which dynamic estimation is used to continuously align the results of an online first principle simulation model with the measurements of the targeted plant. They are a holistic application wh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3090470aa23532ea0b65f09b9e29e0cb
https://doi.org/10.1109/access.2018.2811845

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Automatic Generation of Dynamic Simulation Models Based on Standard Engineering Data

Autor: Karri Honkoila, Tommi Karhela, Niklas Paganus, Marko Luukkainen

Publikováno v: Paganus, N, Honkoila, K, Luukkainen, M & Karhela, T 2018, Automatic generation of dynamic simulation models based on standard engineering data . in Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 . Linköping University Electronic Press, Linköping Electronic Conference Proceedings, no. 142, 9th Eurosim Congress on Modelling and Simulation, Oulu, Finland, 12/09/16 . https://doi.org/10.3384/ecp17142776

Dynamic process simulation is used to mitigate risks, reduce costs and improve quality of design in plant engineering. Traditionally, simulation models are created manually from engineering source data. Benefits of utilising simulation are recognised

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62e9c3f934d0278b9d96d8fbad6c47d4
https://doi.org/10.3384/ecp17142776

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

Autor: Reino Ruusu, Pekka Aarnio, Valeriy Vyatkin, Tommi Karhela, Kashif Gulzar, Seppo Sierla

Publikováno v: 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 . in Proceedings of 16th International Conference on Industrial Informatics : INDIN 2018 ., 8471980, IEEE Institute of Electrical and Electronic Engineers, pp. 741-746, 16th IEEE International Conference on Industrial Informatics, INDIN 2018, Porto, Portugal, 18/07/18 . https://doi.org/10.1109/INDIN.2018.8471980
INDIN

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 contr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b6902b85b1c2a2114489314d7d8700d
https://doi.org/10.1109/INDIN.2018.8471980

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Automatic Generation of a Simulation-based Digital Twin of an Industrial Process Plant

Autor: Seppo Sierla, Tommi Karhela, Gerardo Santillan Martinez, Valeriy Vyatkin

Publikováno v: IECON

A Digital Twin (DT) of a production plant is a digital replica of the plant’s physical assets which contains the structure and the dynamics of how the devices and process operate. Simulation-based DTs (SBDTs) are those based on online first princip

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e045d29e1fdf46269aa86ff9c33798d7
https://aaltodoc.aalto.fi/handle/123456789/36321

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Capturing deviations from design intent in building simulation models for risk assessment

Autor: Seppo Sierla, Tommi Karhela, Heikki Nikula, Bryan M. O’Halloran

Publikováno v: Nikula, H, Sierla, S, O'Halloran, B & Karhela, T 2015, ' Capturing deviations from design intent in building simulation models for risk assessment ', Journal of Computing and Information Science in Engineering, vol. 15, no. 4, 041011 . https://doi.org/10.1115/1.4030385

Simulation-based methods are emerging to address the challenges of complex systems risk assessment, and this paper identifies two problems related to the use of such methods. First, the methods cannot identify new hazards if the simulation model buil

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aefb11371d08873d862b96ec8de99b2
http://juuli.fi/Record/0338766315

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A framework for runtime verification of industrial process control systems

Autor: Seppo Sierla, Tommi Karhela, Tuomas Miettinen, Roope Savolainen, Valeriy Vyatkin

Publikováno v: INDIN
Savolainen, R, Sierla, S, Karhela, T, Miettinen, T & Vyatkin, V 2017, A framework for runtime verification of industrial process control systems . in IEEE 15th International Conference on Industrial Informatics, INDIN 2017 ., 8104856, IEEE Institute of Electrical and Electronic Engineers, IEEE International Conference on Industrial Informatics (INDIN), vol. 15, pp. 687-694, IEEE 15th International Conference on Industrial Informatics, INDIN, Emden, Germany, 24/07/17 . https://doi.org/10.1109/INDIN.2017.8104856

Despite the significant research on automation systems verification, further work is needed on methods for the industrial scale verification of automated processes that are able to cover control software errors, sensor and actuator errors as well as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6be0b2e666dbfed230c1ebe64f14a810
https://doi.org/10.1109/INDIN.2017.8104856

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