November 2023

Book Chapter

New direction of nuclear code development: artificial intelligence

By:
Lin, Lianshan ; Wang, Xing
Page Number:
543-551
Book Title:
Nuclear Power Plant Design and Analysis Codes
Publication Date:
November 9, 2023
Publisher Location:
Elsevier Science, Cambridge, Massachusetts, United States of America
View DOI Listing:
https://doi.org/10.1016/B978-0-12-818190-4.00023-1

Abstract

It has been a long-lasting aspiration of the nuclear power community to apply artificial intelligence (AI) technologies to nuclear power plants (NPPs), as AI is expected to substantially improve the efficiency, reliability, and continuity of NPPs. Along with the recent rise of AI featured with machining learning, there is an ever-increasing interest in utilizing the data-orientated technologies for nuclear power. In this chapter, we provide a brief summary of the history of AI and the previous efforts on introducing AI to nuclear reactor systems in 1980s. These histories suggest that although with a promising future, AI in NPPs also faces unique challenges, which are still not fully addressed and need special attention. We also introduced some recent studies that apply machine learning techniques to nuclear code development. Keywords: Nuclear power plants, code for nuclear power, artificial intelligence, expert system, machine learning


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