Study for the Optimization of the Decommissioning Project of Nuclear Facilities

Y. Iguchi, D. Kawasaki, S. Yanagihara
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Abstract

Basically, decommissioning of nuclear facilities is a project that does not generate new profit because it is carried out with the reserve funds from operation, etc. Therefore, its cost should be minimized with optimization by shortening the process and minimizing the waste, etc. Meeting the requirements of exposure risk (safety) also affects the optimization. In this study, we decided to integrate these evaluation methods to develop a comprehensive optimization evaluation method. In this study, we established an average process for the current decommissioning plans of Japanese nuclear power plants and developed a cost evaluation method including sensitivity analysis. As a result of examining the feasibility of the deferred dismantling strategy using the above calculation method, it became clear that although there is a reduction in disposal and dismantling costs due to the natural decay of radioactive materials, the maintenance and management costs during the safe storage period account for a large proportion of the costs, and for this reason, immediate dismantling is unconditionally advantageous, at least in Japan. The components of optimization described above are naturally subject to various uncertainties and risks. For example, there are regulatory risks, and the location of waste disposal site is subject to social acceptance, so there is a great deal of uncertainty. In the future, these factors will be incorporated into the evaluation and studied, and the optimal strategy for decommissioning and what kind of uncertainty should be focused on will be clarified quantitatively.
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核设施退役方案优化研究
核设施退役基本上是一个不产生新的利润的项目,因为它是用运营等的储备资金进行的。因此,应通过缩短工艺流程、减少浪费等方面进行优化,使其成本降到最低。满足暴露风险(安全)的要求也影响优化。在本研究中,我们决定将这些评价方法整合起来,形成一种综合优化评价方法。在本研究中,我们建立了日本核电站退役计划的平均过程,并开发了包含敏感性分析的成本评估方法。利用上述计算方法对延期拆解策略的可行性进行检验后发现,尽管放射性物质的自然衰变降低了处置和拆解成本,但在安全贮存期间的维护和管理成本占成本的很大比例,因此,立即拆解是无条件有利的,至少在日本是这样。上述优化的组成部分自然会受到各种不确定性和风险的影响。例如,存在监管风险,垃圾处理场的选址受制于社会接受度,因此存在很大的不确定性。未来将把这些因素纳入评估研究,定量明确退役的最优策略和应重点关注的不确定性类型。
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