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How Artificial Intelligence Will Pow...

Rockabrand, Ryan,

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How Artificial Intelligence Will Power Emergency Preparedness and Response for Small Modular Reactors /

Record Type:	Electronic resources : Monograph/item
Title/Author:	How Artificial Intelligence Will Power Emergency Preparedness and Response for Small Modular Reactors // Ryan Rockabrand.
Author:	Rockabrand, Ryan,
Description:	1 electronic resource (193 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-10, Section: B.
Contained By:	Dissertations Abstracts International86-10B.
Subject:	Nuclear engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31934774
ISBN:	9798314809563

How Artificial Intelligence Will Power Emergency Preparedness and Response for Small Modular Reactors /
Rockabrand, Ryan,

How Artificial Intelligence Will Power Emergency Preparedness and Response for Small Modular Reactors /Ryan Rockabrand. - 1 electronic resource (193 pages)

Source: Dissertations Abstracts International, Volume: 86-10, Section: B.

This dissertation examines the intersection of artificial intelligence (AI) and small modular reactors (SMRs), analyzing their combined impact on emergency preparedness and response (EPR). The study suggests that while SMR technology holds significant promise for sustainable energy production, integration with AI necessitates a re-evaluation of traditional EPR frameworks. Through a modified Delphi study, insights were gleaned from a panel of subject matter experts representing diverse fields such as nuclear engineering, AI development, and emergency management. This iterative process focused on key research questions regarding the role of AI in SMR deployments, its influence on EPR during various stages of an emergency, and essential actions required for successful implementation. The findings indicate that AI possesses the potential to significantly enhance SMR safety and efficiency by enabling real-time monitoring, predictive analytics, automated responses, and improved situational awareness. However, the study also identified fundamental challenges, including the need for seamless communication between AI systems and human operators to prevent misinterpretations and ensure effective decision-making during critical situations. Furthermore, the complexity of SMR technology necessitates specialized training programs for both on-site and remote personnel to guarantee proper understanding and operation in emergency contexts. Based on these findings, the researcher recommends a multi-pronged approach: leveraging AI for proactive risk assessment and management; integrating AI into emergency plans, simulations, and communication systems; and utilizing AI-powered tools for community engagement and education regarding SMR technology and emergency procedures. This research contributes to the growing body of knowledge surrounding AI's impact on the nuclear energy sector, providing valuable insights for policymakers, industry leaders, and emergency responders.

English

ISBN: 9798314809563Subjects--Topical Terms:

595435
Nuclear engineering.
Subjects--Index Terms:

Emergency management

How Artificial Intelligence Will Power Emergency Preparedness and Response for Small Modular Reactors /
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