The Application of Artificial Intelligence to Nuclear Power Plant Safety

Ceyhun Yavuz; Senem Şentürk Lüle

doi:10.1007/978-3-030-96592-1_9

The Application of Artificial Intelligence to Nuclear Power Plant Safety

Ceyhun Yavuz, Senem Şentürk Lüle^*

^*Corresponding author for this work

Energy Institute

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Through application of artificial intelligence (AI), the burden of analytical computational load for analysis of any given problem where countless variables have to be taken into account, is virtually eliminated. Since for engagements in real life operations and instantaneous actions are of paramount importance and vital, AI can be a strong alternative to overcome the complex problem solving in short time frames. As such, in this study a brief review of AI basics is given and literature for AI applications in nuclear field such as defect detection in nuclear fuel assembly, dose prediction in nuclear emergencies, fuel and component failure detection, core monitoring for reactor transients, core fuel optimization models, gamma spectroscopy analysis and specifically nuclear reactor safety in operation are assessed. Afterwards, an AI model for analyzing transients in VVER type nuclear power plants that is being built in Turkey is proposed. This model must keep up with instantaneous data flow and giving actionable feedback to the operator both for the cause and the solution. A semi-autonomous AI control system that help the operator decision making is a significant contributor to the safety of a reactor.

Original language	English
Title of host publication	Artificial Intelligence for Knowledge Management, Energy, and Sustainability - 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Revised Selected Papers
Editors	Eunika Mercier-Laurent, Gülgün Kayakutlu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	117-127
Number of pages	11
ISBN (Print)	9783030965914
DOIs	https://doi.org/10.1007/978-3-030-96592-1_9
Publication status	Published - 2022
Event	9th International Workshop on Artificial Intelligence for Knowledge Management, Energy, and Sustainability, AI4KMES 2021 held in conjunction with 30th International Joint Conference on Artificial Intelligence, IJCAI 2021 - Virtual, Online Duration: 19 Aug 2021 → 20 Aug 2021

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	637 IFIP
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	9th International Workshop on Artificial Intelligence for Knowledge Management, Energy, and Sustainability, AI4KMES 2021 held in conjunction with 30th International Joint Conference on Artificial Intelligence, IJCAI 2021
City	Virtual, Online
Period	19/08/21 → 20/08/21

Bibliographical note

Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.

Keywords

Artificial intelligence
Artificial neural networks
Nuclear reactor operation
Nuclear reactor safety
Transient analysis
VVER 1200

Access to Document

10.1007/978-3-030-96592-1_9

Cite this

Yavuz, C., & Şentürk Lüle, S. (2022). The Application of Artificial Intelligence to Nuclear Power Plant Safety. In E. Mercier-Laurent, & G. Kayakutlu (Eds.), Artificial Intelligence for Knowledge Management, Energy, and Sustainability - 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Revised Selected Papers (pp. 117-127). (IFIP Advances in Information and Communication Technology; Vol. 637 IFIP). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-96592-1_9

Yavuz, Ceyhun ; Şentürk Lüle, Senem. / The Application of Artificial Intelligence to Nuclear Power Plant Safety. Artificial Intelligence for Knowledge Management, Energy, and Sustainability - 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Revised Selected Papers. editor / Eunika Mercier-Laurent ; Gülgün Kayakutlu. Springer Science and Business Media Deutschland GmbH, 2022. pp. 117-127 (IFIP Advances in Information and Communication Technology).

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title = "The Application of Artificial Intelligence to Nuclear Power Plant Safety",

abstract = "Through application of artificial intelligence (AI), the burden of analytical computational load for analysis of any given problem where countless variables have to be taken into account, is virtually eliminated. Since for engagements in real life operations and instantaneous actions are of paramount importance and vital, AI can be a strong alternative to overcome the complex problem solving in short time frames. As such, in this study a brief review of AI basics is given and literature for AI applications in nuclear field such as defect detection in nuclear fuel assembly, dose prediction in nuclear emergencies, fuel and component failure detection, core monitoring for reactor transients, core fuel optimization models, gamma spectroscopy analysis and specifically nuclear reactor safety in operation are assessed. Afterwards, an AI model for analyzing transients in VVER type nuclear power plants that is being built in Turkey is proposed. This model must keep up with instantaneous data flow and giving actionable feedback to the operator both for the cause and the solution. A semi-autonomous AI control system that help the operator decision making is a significant contributor to the safety of a reactor.",

keywords = "Artificial intelligence, Artificial neural networks, Nuclear reactor operation, Nuclear reactor safety, Transient analysis, VVER 1200",

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booktitle = "Artificial Intelligence for Knowledge Management, Energy, and Sustainability - 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Revised Selected Papers",

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Yavuz, C & Şentürk Lüle, S 2022, The Application of Artificial Intelligence to Nuclear Power Plant Safety. in E Mercier-Laurent & G Kayakutlu (eds), Artificial Intelligence for Knowledge Management, Energy, and Sustainability - 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Revised Selected Papers. IFIP Advances in Information and Communication Technology, vol. 637 IFIP, Springer Science and Business Media Deutschland GmbH, pp. 117-127, 9th International Workshop on Artificial Intelligence for Knowledge Management, Energy, and Sustainability, AI4KMES 2021 held in conjunction with 30th International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual, Online, 19/08/21. https://doi.org/10.1007/978-3-030-96592-1_9

The Application of Artificial Intelligence to Nuclear Power Plant Safety. / Yavuz, Ceyhun; Şentürk Lüle, Senem.
Artificial Intelligence for Knowledge Management, Energy, and Sustainability - 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Revised Selected Papers. ed. / Eunika Mercier-Laurent; Gülgün Kayakutlu. Springer Science and Business Media Deutschland GmbH, 2022. p. 117-127 (IFIP Advances in Information and Communication Technology; Vol. 637 IFIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The Application of Artificial Intelligence to Nuclear Power Plant Safety

AU - Yavuz, Ceyhun

AU - Şentürk Lüle, Senem

PY - 2022

Y1 - 2022

N2 - Through application of artificial intelligence (AI), the burden of analytical computational load for analysis of any given problem where countless variables have to be taken into account, is virtually eliminated. Since for engagements in real life operations and instantaneous actions are of paramount importance and vital, AI can be a strong alternative to overcome the complex problem solving in short time frames. As such, in this study a brief review of AI basics is given and literature for AI applications in nuclear field such as defect detection in nuclear fuel assembly, dose prediction in nuclear emergencies, fuel and component failure detection, core monitoring for reactor transients, core fuel optimization models, gamma spectroscopy analysis and specifically nuclear reactor safety in operation are assessed. Afterwards, an AI model for analyzing transients in VVER type nuclear power plants that is being built in Turkey is proposed. This model must keep up with instantaneous data flow and giving actionable feedback to the operator both for the cause and the solution. A semi-autonomous AI control system that help the operator decision making is a significant contributor to the safety of a reactor.

AB - Through application of artificial intelligence (AI), the burden of analytical computational load for analysis of any given problem where countless variables have to be taken into account, is virtually eliminated. Since for engagements in real life operations and instantaneous actions are of paramount importance and vital, AI can be a strong alternative to overcome the complex problem solving in short time frames. As such, in this study a brief review of AI basics is given and literature for AI applications in nuclear field such as defect detection in nuclear fuel assembly, dose prediction in nuclear emergencies, fuel and component failure detection, core monitoring for reactor transients, core fuel optimization models, gamma spectroscopy analysis and specifically nuclear reactor safety in operation are assessed. Afterwards, an AI model for analyzing transients in VVER type nuclear power plants that is being built in Turkey is proposed. This model must keep up with instantaneous data flow and giving actionable feedback to the operator both for the cause and the solution. A semi-autonomous AI control system that help the operator decision making is a significant contributor to the safety of a reactor.

KW - Artificial intelligence

KW - Artificial neural networks

KW - Nuclear reactor operation

KW - Nuclear reactor safety

KW - Transient analysis

KW - VVER 1200

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DO - 10.1007/978-3-030-96592-1_9

M3 - Conference contribution

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SN - 9783030965914

T3 - IFIP Advances in Information and Communication Technology

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BT - Artificial Intelligence for Knowledge Management, Energy, and Sustainability - 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Revised Selected Papers

A2 - Mercier-Laurent, Eunika

A2 - Kayakutlu, Gülgün

PB - Springer Science and Business Media Deutschland GmbH

T2 - 9th International Workshop on Artificial Intelligence for Knowledge Management, Energy, and Sustainability, AI4KMES 2021 held in conjunction with 30th International Joint Conference on Artificial Intelligence, IJCAI 2021

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Yavuz C, Şentürk Lüle S. The Application of Artificial Intelligence to Nuclear Power Plant Safety. In Mercier-Laurent E, Kayakutlu G, editors, Artificial Intelligence for Knowledge Management, Energy, and Sustainability - 9th IFIP WG 12.6 and 1st IFIP WG 12.11 International Workshop, AI4KMES 2021, Held at IJCAI 2021, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 117-127. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-030-96592-1_9

The Application of Artificial Intelligence to Nuclear Power Plant Safety

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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