Physical security analysis and simulation of the multi-layer security system for the Offshore Nuclear Plant (ONP)
Name
NEDPaper Rev 6.pdf
Description
Accepted version
Size
374.79 KB
Format
Adobe PDF
Checksum (MD5)
207684dbb3b1403db7ba8bf4621da977
Author(s)
Conway, Jared Thomas.
Buongiorno, Jacopo
Golay, Michael W
Date Issued
October 2019
Journal
Nuclear Engineering and Design
Publisher
Elsevier BV
Citation
Conway, Jarad et al. “Physical security analysis and simulation of the multi-layer security system for the Offshore Nuclear Plant (ONP).” Nuclear Engineering and Design, 352, (October 2019): 110160 © 2019 The Author(s)
Version
Author's final manuscript
Abstract
This research has investigated the effectiveness of the proposed security plan for the ONP-300 through the use of a simulation software developed by ARES Security Corporation which evaluates the plant design and security plan. This paper updates the security strategy in the earlier 2016 paper (ICONE24-61029, Charlotte, NC, Kindfuller et. al.) with the following significant additions: a modification of the plant design for security optimization, changes in the guard force based on simulations, placement of the protective barrier to prevent damage from ship explosions, and establishment of the shore station guard force, response team and key facilities. Different attack scenarios were investigated, and four design-basis threats were formulated based on guidance from industry professionals. Through the use of ARES software, results indicated that the initial platform design for the ONP 300 had line-of-sight issues for security officers on the top deck of the plant resulting in an unacceptable performance. This realization led to changes in the ONP 300′s security configuration and structural layout. Additional sensitivity analysis resulted in reduction of guard force size and emphasized the importance of redundant radar systems. The major contributions of this work are two-fold. First, implementation of security-enhancing features have been accomplished at the very early stage of the ONP design when innovative features can be best identified and implemented in a cost-effective manner. Second, application of a Monte Carlo numerical tool has helped confirm the effectiveness of the design to defeat a wide range of threat scenarios proving the robustness of the security design.
MIT Department
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.NUCENGDES.2019.110160
