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NUCLEAR MATERIAL FLOW ALGORITHM AND EXTERNAL COST ANALYSIS
编号：61 访问权限：仅限参会人 更新：2024-09-13 17:51:31 浏览：88次 口头报告

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摘要
A review of nuclear fuel cycle scenario from different studies in respect of the material flow analysis which are assessed through the artificial intelligence algorithm is hereby presented from a comparative analytic point of view. Different strategies which are engaged for nuclear materials flow chain in the adopted fuel cycle option are thoroughly examined, on one hand the review covers material flow chain and the algorithm which significantly accounts for their impart in the value chain while in another instance a detection of vital nuclear material is critical to accounting and control where proliferation is averted. A scenario-based study was conducted using the IAEA’s Nuclear Fuel Cycle Simulation System (NFCSS) where a commercial PWR made up of U-Pu MOX fuel configuration is subjected to different scenarios in order to determine the nuclear material requirements needed to have a sustainable closed fuel cycle, the results of decay heat and radiotoxicity is in agreement with scenario requirement study made as a bases for material flow analysis, other results from review studies based on different algorithms for material flow were presented and analyzed. This study also tends to determine the externality of nuclear fuel cycle and material flow involved based on scenario strategies which is possible by the instrumentality of artificial intelligence.

 
关键词
Material Flow Algorithm, External Cost, Economic Analysis, Scenario Criteria.
报告人
FESTUS OCHEME
PRINCIPAL SCIENTIFIC Harbin Engineering University；NIGERIA ATOMIC ENERGY COMMISSION

稿件作者
FESTUS OCHEME Harbin Engineering University；NIGERIA ATOMIC ENERGY COMMISSION
WANG XIANG Harbin Engineering University
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重要日期

  • 会议日期

    09月23日

    2024

    至

    09月25日

    2024

  • 09月24日 2024

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  • 09月25日 2024

    注册截止日期

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Harbin Engineering University (HEU)
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