Recommendation of Optimal Mitigation Actions Using Causal Inference in LOCA Events at Nuclear Power Plants

Ji Park, Hye Jo, Ho Lee, Man Gyun Na

2024

Abstract

In nuclear power plants, ensuring safety during abnormal situations is of paramount importance. This study focuses on the loss of coolant accident, a design basis accident, and applies the use of causal inference to recommend optimal mitigation actions. The study utilizes data collected from the compact nuclear simulator to analyze the effectiveness of various actions, including the activation of charging pumps and adjustments to control valves. The results indicate that the simultaneous activation of charging pumps #2 and #3 yields the highest cumulative absolute effect on maintaining the pressurizer water level. Additionally, keeping the charging control valve and letdown back pressure valve fully open (100%) also contributes significantly to managing the pressurizer water level during loss of coolant accident scenarios. These findings provide valuable insights into improving nuclear power plant safety by guiding operators in choosing the most effective mitigation strategies during LOCA situation.

Paper Citation

in Harvard Style

Park J., Jo H., Lee H. and Gyun Na M. (2024). Recommendation of Optimal Mitigation Actions Using Causal Inference in LOCA Events at Nuclear Power Plants. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 440-444. DOI: 10.5220/0013018900003822

in Bibtex Style

@conference{icinco24,
author={Ji Park and Hye Jo and Ho Lee and Man Gyun Na},
title={Recommendation of Optimal Mitigation Actions Using Causal Inference in LOCA Events at Nuclear Power Plants},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={440-444},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013018900003822},
isbn={978-989-758-717-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Recommendation of Optimal Mitigation Actions Using Causal Inference in LOCA Events at Nuclear Power Plants
SN - 978-989-758-717-7
AU - Park J.
AU - Jo H.
AU - Lee H.
AU - Gyun Na M.
PY - 2024
SP - 440
EP - 444
DO - 10.5220/0013018900003822
PB - SciTePress