Subtopic Deep Dive

Spent Fuel Storage
Research Guide

What is Spent Fuel Storage?

Spent Fuel Storage encompasses dry cask and wet pool systems for managing used nuclear fuel, focusing on thermal management, structural integrity, criticality safety, and long-term degradation under environmental stressors.

Researchers analyze spent fuel storage through modeling of heat transfer, radiation shielding, and material degradation in casks and pools. Key studies validate Monte Carlo codes for criticality safety (Jang et al., 2018, 39 citations) and develop fuel performance codes for dry storage (Rossiter, 2011, 56 citations). Over 20 papers from the provided list address storage cask designs, burnup credit, and economic comparisons.

15
Curated Papers
3
Key Challenges

Why It Matters

Safe spent fuel storage enables nuclear plant decommissioning and interim solutions until permanent repositories exist, as demonstrated by economic analyses favoring direct disposal over reprocessing under most uranium price scenarios (Bunn et al., 2003, 67 citations). Fukushima highlighted vulnerabilities in pool storage during disasters, prompting improved cask shielding designs (Dauer et al., 2011, 106 citations; Ko et al., 2014, 37 citations). These systems manage high-burnup LWR fuel, reducing public hazard risks through validated technologies (Campbell, 1976, 113 citations).

Key Research Challenges

Criticality Safety Validation

Ensuring spent fuel remains subcritical in storage requires accurate modeling of burnup-dependent compositions. Sensitivity evaluations identify key parameters for PWR packages (DeHart, 1996, 51 citations). Monte Carlo codes like MCS need validation against benchmarks for pools and casks (Jang et al., 2018, 39 citations).

Thermal Management in Dry Casks

Dry storage demands precise heat dissipation modeling for fuel cladding integrity over decades. ENIGMA code supports whole-core analysis for these assessments (Rossiter, 2011, 56 citations). Nuclide decay heating trends complicate high-burnup fuel predictions (Gauld and Ryman, 2000, 36 citations).

Shielding Under Normal Conditions

Dual-purpose casks must attenuate gamma and neutron radiation effectively during storage. Analyses confirm dose rates meet regulatory limits (Ko et al., 2014, 37 citations). Material degradation from environmental stressors adds uncertainty to long-term performance.

Essential Papers

1.

Geological disposal of nuclear waste

Neil A. Chapman · 1988 · International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts · 159 citations

2.

High-Level Radioactive Waste Management

M.H. Campbell · 1976 · Advances in chemistry series · 113 citations

There is now available the technology which will allow us to contain the commercial high-level radioactive waste from the nuclear power industry. Through proper waste management controls we can red...

3.

The Japanese Tsunami and Resulting Nuclear Emergency at the Fukushima Daiichi Power Facility: Technical, Radiologic, and Response Perspectives

Lawrence T. Dauer, Pat Zanzonico, R. Michael Tuttle et al. · 2011 · Journal of Nuclear Medicine · 106 citations

The Fukushima Daiichi nuclear power facility, in the Futaba District of the Fukushima Prefecture in Japan, was severely damaged by the earthquake and ensuing tsunami that struck off the northern co...

4.

Radioactive waste: A review

Dongyang Deng, Lifeng Zhang, Ming Dong et al. · 2020 · Water Environment Research · 90 citations

Abstract The reviewed papers presented here provide a general overview of worldwide radioactive waste‐related studies conducted in 2019. The current review includes studies related to safety assess...

5.

THE ECONOMICS OF REPROCESSING vs DIRECT DISPOSAL OF SPENT NUCLEAR FUEL

Matthew Bunn, Steve Fetter, John P. Holdren et al. · 2003 · 67 citations

This report assesses the economics of reprocessing versus direct disposal of spent nuclear fuel. The breakeven uranium price at which reprocessing spent nuclear fuel from existing light-water react...

6.

DEVELOPMENT OF THE ENIGMA FUEL PERFORMANCE CODE FOR WHOLE CORE ANALYSIS AND DRY STORAGE ASSESSMENTS

Glyn Rossiter · 2011 · Nuclear Engineering and Technology · 56 citations

7.

Sensitivity and parametric evaluations of significant aspects of burnup credit for PWR spent fuel packages

Mark D. DeHart · 1996 · 51 citations

Spent fuel transportation and storage cask designs based on a burnup credit approach must consider issues that are not relevant in casks designed under a fresh-fuel loading assumption. For example,...

Reading Guide

Foundational Papers

Start with Campbell (1976, 113 citations) for waste containment tech basics, then Chapman (1988, 159 citations) on geological context, Rossiter (2011, 56 citations) for dry storage modeling, and Bunn et al. (2003, 67 citations) for disposal economics.

Recent Advances

Prioritize Jang et al. (2018, 39 citations) for Monte Carlo criticality validation and Ko et al. (2014, 37 citations) for modern cask shielding; Deng et al. (2020, 90 citations) reviews 2019 safety assessments.

Core Methods

Monte Carlo (MCS) for criticality (Jang et al., 2018); ENIGMA code for fuel performance and dry storage (Rossiter, 2011); burnup sensitivity analysis (DeHart, 1996); shielding dose calculations (Ko et al., 2014).

How PapersFlow Helps You Research Spent Fuel Storage

Discover & Search

Research Agent uses searchPapers and citationGraph to map 20+ papers on spent fuel casks, revealing Rossiter (2011) as a hub for dry storage modeling connected to Jang et al. (2018) on Monte Carlo validation. exaSearch uncovers niche dry cask degradation studies, while findSimilarPapers expands from DeHart (1996) burnup credit analysis.

Analyze & Verify

Analysis Agent applies readPaperContent to extract shielding equations from Ko et al. (2014), then verifyResponse with CoVe checks model accuracy against benchmarks. runPythonAnalysis simulates decay heating trends from Gauld and Ryman (2000) using NumPy for nuclide importance plots; GRADE assigns A-grade evidence to validated MCS code results (Jang et al., 2018).

Synthesize & Write

Synthesis Agent detects gaps in long-term degradation modeling beyond Rossiter (2011), flagging contradictions between wet and dry storage risks post-Fukushima (Dauer et al., 2011). Writing Agent uses latexEditText and latexSyncCitations to draft cask design reports citing Bunn et al. (2003), with latexCompile for publication-ready PDFs and exportMermaid for criticality safety flowcharts.

Use Cases

"Analyze decay heating in high-burnup PWR spent fuel for dry storage safety margins."

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (NumPy/pandas on Gauld and Ryman 2000 data) → matplotlib plot of nuclide trends and safety factors.

"Model radiation shielding effectiveness of dual-purpose casks with LaTeX figures."

Research Agent → citationGraph (Ko et al. 2014) → Synthesis Agent → latexGenerateFigure + latexSyncCitations → latexCompile → PDF with dose rate diagrams.

"Find open-source codes for spent fuel pool criticality simulations."

Research Agent → paperExtractUrls (Jang et al. 2018 MCS validation) → Code Discovery → paperFindGithubRepo → githubRepoInspect → verified Monte Carlo repo links.

Automated Workflows

Deep Research workflow systematically reviews 50+ papers via searchPapers → citationGraph, generating structured reports on dry vs. wet storage economics (Bunn et al., 2003). DeepScan applies 7-step CoVe analysis to Rossiter (2011) ENIGMA code validations with runPythonAnalysis checkpoints. Theorizer synthesizes degradation theory from DeHart (1996) and Gauld (2000) for predictive dry storage models.

Frequently Asked Questions

What defines spent fuel storage?

Spent fuel storage manages used nuclear fuel in wet pools or dry casks, addressing thermal, criticality, and shielding issues for decades-long interim containment.

What are key methods in spent fuel storage research?

Monte Carlo simulations validate criticality (Jang et al., 2018), fuel performance codes model dry storage (Rossiter, 2011), and sensitivity analyses handle burnup credit (DeHart, 1996).

What are major papers on spent fuel storage?

Rossiter (2011, 56 citations) develops ENIGMA for dry storage; Jang et al. (2018, 39 citations) validates MCS for pools/casks; Ko et al. (2014, 37 citations) analyzes dual-purpose cask shielding.

What open problems exist in spent fuel storage?

Long-term cladding degradation under stressors lacks comprehensive models; high-burnup fuel nuclide impacts on decay heat and criticality need extended validation (Gauld and Ryman, 2000).

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