원자력 발전소 전반에 걸쳐 확장 가능한 위험 정보 예측 유지 관리 전략을 가능하게 하는 클라우드 기반 애플리케이션 평가 (Assessment of cloud-based applications enabling a scalable risk-informed predictive maintenance strategy across the nuclear fleet)
본 보고서는 원자력 산업의 요구 사항 충족과 관련하여 클라우드 컴퓨팅의 기능, 실현 가능성, 규제 관련 사항을 제공합니다.
The current light-water reactor fleet uses time-based maintenance strategies to achieve high-capacity factors. But to make nuclear more competitive in the energy market, these reactors could utilize emerging artificial intelligence (AI) and cloud computing technologies to enable a cost-effective, predictive maintenance (PdM) strategy. This report examines the capabilities, feasibility, and regulatory concerns of cloud computing in relation to meeting nuclear industry needs.
The technical viability of cloud computing was analyzed using data from a boiling-water reactor’s safety relief valve (SRV). The models were hosted on three different systems: a local personal computer, Idaho National Laboratory’s high-performance computer (HPC) system, and Microsoft Azure. The data were loaded and processed, and two types of models were trained in an A/B fashion. Based on the speed at which these actions were completed, it was determined that cloud computing affords adequate computing resources. Additionally, the computing power can scale with the demanded load.