Work

Design challenges and response plans for intelligent decision support systems for Korean nuclear power plants under normal and abnormal conditions

Year: 2024

Type: article

Abstract: In nuclear power plants (NPPs), an intelligent decision support system (IDSS) aids the decision-making process of main control room operators. It achieves this by monitoring and diagnosing conditions, predicting progress, and providing preventive advice during both normal and abnormal operations. Despite ongoing research in Korea, few IDSS for NPPs have been effectively applied and verified. Furthermore, established designs and validation guidelines for IDSSs for Korean NPPs remain lacking. To address this gap, this study systematically identifies problems and corresponding countermeasures for applying artificial intelligence-based design and validation technologies, while complying with licensing regulatory standards. The aim is to develop a practical and effective IDSS. This study identifies design challenges in the practical application of fundamental IDSS technology, outlining necessary design and validation technologies. Additionally, it suggests technology-specific response plans for the identified design challenges. • Design challenges for intelligent decision support systems (IDSSs) were identified. • Preliminary response plans for each design problem were formulated. • Reviewed the regulatory agency's stance on applying AI technology in NPPs.

Source: Progress in Nuclear Energy

DOI: 10.1016/j.pnucene.2024.105442

Authors: Gwi-sook Jang, Seo Ryong Koo

Institution: Korea Atomic Energy Research Institute

Language: English

Topic: Decision Support System Applications

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: hybrid

Estimated APC paid: $2,740