3,520 research outputs found

    US-German Workshop on Salt Repository Research, Design, and Operation (KIT Scientific Reports ; 7569)

    Get PDF

    ๊ฐœ๋ณ„์š”์†Œ๋ฒ•์„ ํ™œ์šฉํ•œ ๊ณ ์ค€์œ„ ๋ฐฉ์‚ฌ์„ฑ ํ๊ธฐ๋ฌผ ์‹ฌ์ธต์ฒ˜๋ถ„์žฅ ์ฃผ๋ณ€ ๊ท ์—ดํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜ ๋ณ€ํ™” ๋ชจ๋ธ๋ง

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์—๋„ˆ์ง€์‹œ์Šคํ…œ๊ณตํ•™๋ถ€, 2021. 2. ๋ฏผ๊ธฐ๋ณต.์›์ž๋ ฅ๋ฐœ์ „์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๊ณ ์ค€์œ„ ๋ฐฉ์‚ฌ์„ฑ ํ๊ธฐ๋ฌผ์€ ๊ณ„์†ํ•ด์„œ ๋ฐฉ์‚ฌ์„ ๊ณผ ์—ด์„ ๋ฐœ์ƒํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ์ถฉ๋ถ„ํ•œ ์‹œ๊ฐ„ ๋™์•ˆ ์ƒํƒœ๊ณ„๋กœ๋ถ€ํ„ฐ ๊ฒฉ๋ฆฌ๋˜์–ด์•ผ ํ•œ๋‹ค. ๊ณ ์ค€์œ„ ๋ฐฉ์‚ฌ์„ฑ ํ๊ธฐ๋ฌผ์„ ์˜๊ตฌ์ ์œผ๋กœ ์ฒ˜๋ถ„ํ•˜๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ ๊ณตํ•™์ ๋ฐฉ๋ฒฝ๊ณผ ์ฒœ์—ฐ๋ฐฉ๋ฒฝ์„ ํ†ตํ•ด ๊ฒฉ๋ฆฌ์‹œํ‚ค๋Š” ์‹ฌ์ง€์ธต์ฒ˜๋ถ„๋ฐฉ์‹์ด ์ œ์‹œ๋˜์—ˆ๋‹ค. ์‹ฌ์ง€์ธต์ฒ˜๋ถ„ ์‹œ์Šคํ…œ์˜ ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ณตํ•™์ ๋ฐฉ๋ฒฝ๊ณผ ์ฒœ์—ฐ๋ฐฉ๋ฒฝ์˜ ์žฅ๊ธฐ์  ๊ฑฐ๋™์„ ์กฐ์‚ฌํ•˜๋Š” ๋‹ค์–‘ํ•œ ์‹คํ—˜ ๋ฐ ์ˆ˜์น˜ํ•ด์„์ด ์ง„ํ–‰๋˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ ์ฒœ์—ฐ๋ฐฉ๋ฒฝ์˜ ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜๋Š” ํ•ต์ข…์˜ ๋ˆ„์ถœ์„ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ๋Š” ์ˆ˜๋‹จ์œผ๋กœ ๋‹ค์–‘ํ•œ ์—ด, ์ˆ˜๋ฆฌ. ์—ญํ•™์  ์˜ํ–ฅ ์š”์ธ์— ๋Œ€ํ•œ ๋ถ„์„์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ณ ์ค€์œ„ ๋ฐฉ์‚ฌ์„ฑ ํ๊ธฐ๋ฌผ ์‹ฌ์ธต์ฒ˜๋ถ„์žฅ์˜ ๊ฑด์„ค ๋ฐ ์šด์˜ ์ค‘์— ์ฒœ์—ฐ๋ฐฉ๋ฒฝ, ํŠนํžˆ ๊ฒฐ์ •์งˆ ๊ท ์—ด์•”๋ฐ˜์˜ ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜ ๋ณ€ํ™”์— ๋Œ€ํ•˜์—ฌ ๊ฒ€ํ† ํ•˜์˜€๋‹ค. ๊ฒฐ์ •์งˆ ๊ท ์—ด์•”๋ฐ˜์˜ ์‹ค์ œ ๊ฑฐ๋™์„ ๋ชจ์‚ฌํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์Šค์›จ๋ด ์• ์Šคํ‘€ ์ง€ํ•˜์—ฐ๊ตฌ์‹œ์„ค์—์„œ ์ทจ๋“ํ•œ ์•”์„ ๋ฐ ๊ท ์—ด ๋ฌผ์„ฑ์„ ํ™œ์šฉํ•˜์—ฌ ์‚ผ์ฐจ์› ๊ฐœ๋ณ„์š”์†Œ๋ฒ• ๊ธฐ๋ฐ˜ ๊ท ์—ด์•”๋ฐ˜๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜์˜€๋‹ค. ๊ท ์—ดํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์š”์ธ์ธ ๊ตด์ฐฉ์†์ƒ์˜์—ญ, ์—ด, ๋น™ํ•˜, ์ง€์ง„์— ์˜ํ•œ ์‘๋ ฅ ๋ณ€ํ™”๋ฅผ ์ˆ˜์น˜ํ•ด์„ ๋ชจ๋ธ์— ๋ฐ˜์˜ํ•˜์˜€๋‹ค. ๊ตด์ฐฉ์†์ƒ์˜์—ญ์˜ ์˜ํ–ฅ์€ ํ„ฐ๋„ ์ž์œ ๋ฉด์— ์˜ํ•œ ์‘๋ ฅ์žฌ๋ถ„๋ฐฐ๊ฐ€ ์•ผ๊ธฐํ•œ ๊ท ์—ด์˜ ์ˆ˜์ง๋ณ€ํ˜• ๋ฐ ์ „๋‹จ ๋ฏธ๋„๋Ÿฌ์ง์„ ํ†ตํ•˜์—ฌ ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜์˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ, ์ด๋ ‡๊ฒŒ ๊ตฌ์ถ•๋œ ํ„ฐ๋„ ๋ชจ๋ธ์— ๊ฐ๊ฐ ์—ด์›, ๋น™ํ•˜์— ์˜ํ•œ ๊ฒฝ๊ณ„์กฐ๊ฑด๋ณ€ํ™”, ์ง€์ง„์— ์˜ํ•œ ๋™์  ํ•˜์ค‘์„ ์ถ”๊ฐ€ํ•˜์—ฌ ๊ฐ ์˜ํ–ฅ์š”์ธ์— ์˜ํ•œ ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ตด์ฐฉ์†์ƒ์˜์—ญ์œผ๋กœ ์ธํ•œ ์˜ํ–ฅ์€ ํฌ๊ฒŒ๋Š” 1,000๋ฐฐ๊ฐ€๋Ÿ‰์˜ ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜ ์ฆ์ง„์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ , ์ˆ˜์ง ์—ด๋ฆผ/๋‹ซํž˜๊ณผ ์ „๋‹จ ๋ฏธ๋„๋Ÿฌ์ง์— ์˜ํ•œ ์˜ํ–ฅ์ด ๊ท ์—ด์˜ ๋ฐฉํ–ฅ์— ๋”ฐ๋ผ์„œ ๋ณตํ•ฉ์ ์œผ๋กœ ์ž‘์šฉํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์—ด, ๋น™ํ•˜, ์ง€์ง„์— ์˜ํ•œ ์˜ํ–ฅ ๋ถ„์„์—์„œ๋Š” ๋ชจ๋‘ ํ•˜์ค‘์˜ ์žฌํ•˜์™€ ์ œํ•˜๊ฐ€ ๋ฐ˜๋ณต๋˜๋Š” ๋น„์Šทํ•œ ์‘๋ ฅ๋ณ€ํ™” ์–‘์ƒ์„ ์ˆ˜๋ฐ˜ํ•˜์˜€์œผ๋ฉฐ ์˜ํ–ฅ์˜ ๋ถ„์„์ด ๋๋‚œ ํ›„์—๋Š” ๋ชจ๋‘ ์ดˆ๊ธฐ ์‘๋ ฅ์กฐ๊ฑด์œผ๋กœ ํšŒ๊ท€ํ•˜๋Š” ๊ณผ์ •์ด ํฌํ•จ๋˜์–ด ์žˆ์—ˆ๋‹ค. ์—ด, ๋น™ํ•˜, ์ง€์ง„์— ์˜ํ•œ ์˜ํ–ฅ ๋ถ„์„ ๋ชจ๋‘ ์ผ๋ถ€ ๊ท ์—ด์—์„œ ๋น„๊ฐ€์—ญ์ ์ธ ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜์˜ ์ฆ์ง„์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜ ๋ฐ ์‘๋ ฅ ์ƒํƒœ๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ ํ•˜์ค‘์˜ ์žฌํ•˜ ์‹œ์—๋Š” ๊ท ์—ด์˜ ์ˆ˜์ง ๋‹ซํž˜์ด ์ง€๋ฐฐ์ ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์ง€๋งŒ, ์ œํ•˜ ์‹œ์—๋Š” ๋‹ซํ˜”๋˜ ๊ท ์—ด์ด ๊ฐ€์—ญ์ ์œผ๋กœ ์—ด๋ฆผ๊ณผ ๋™์‹œ์— ์ˆ˜์ง ๋‹ซํž˜์— ์˜ํ•ด ๊ฐ€๋ ค์กŒ๋˜ ๋น„๊ฐ€์—ญ์  ์ „๋‹จํŒฝ์ฐฝ์˜ ์˜ํ–ฅ์ด ๋“œ๋Ÿฌ๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฐ€์—ญ์  ์ˆ˜์ง๋ณ€ํ˜•๊ณผ ๋น„๊ฐ€์—ญ์  ์ „๋‹จํŒฝ์ฐฝ์˜ ์˜ํ–ฅ์€ ๊ท ์—ด์˜ ๊ธฐํ•˜ํ•™์  ํŠน์„ฑ์— ๋”ฐ๋ผ ์„ ๋ณ„์ ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜์˜ ๋ณ€ํ™”๋ฅผ ํ„ฐ๋„ ์ฃผ๋ณ€ ์ ˆ๋ฆฌ์˜ ๊ธฐํ•˜ํ•™์  ํŠน์„ฑ์— ๋Œ€ํ•˜์—ฌ ๋ณด๋‹ค ์ผ๋ฐ˜์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ, ๊ท ์ผ์ ˆ๋ฆฌ๊ตฐ์„ ํ„ฐ๋„ ์ฃผ๋ณ€์— ์ถ”๊ฐ€ํ•˜์—ฌ ๊ฐ๊ฐ ๊ตด์ฐฉ์†์ƒ์˜์—ญ, ์—ด, ๋น™ํ•˜, ์ง€์ง„์— ์˜ํ•œ ์˜ํ–ฅ์„ ์ •๋ฆฌํ•˜์˜€๋‹ค. ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜์˜ ์ฆ์ง„์€ ์ฃผ๋กœ ์ตœ๋Œ€์ฃผ์‘๋ ฅ๊ณผ ํ‰ํ–‰์ธ ์ ˆ๋ฆฌ์—์„œ ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ด๋Š” ์ตœ๋Œ€์ฃผ์‘๋ ฅ์˜ ์˜ํ–ฅ์ด ์ž‘์•„ ์ˆ˜์ง๋ฐฉํ–ฅ์œผ๋กœ ์ž‘์šฉํ•˜๋Š” ์••์ถ•์‘๋ ฅ์ด ์ƒ๋Œ€์ ์œผ๋กœ ๋‚ฎ์•˜๊ธฐ ๋•Œ๋ฌธ์ด์—ˆ๋‹ค. ๋˜ํ•œ ํ„ฐ๋…ˆ๋ฉด์œผ๋กœ๋ถ€ํ„ฐ ์•ฝ๊ฐ„ ๊ธฐ์šธ์–ด์ง„ ๋ฐฉํ–ฅ์˜ ์ ˆ๋ฆฌ์—์„œ ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜์˜ ์ฆ์ง„์ด ํฌ๊ฒŒ ๋ฐœ์ƒํ–ˆ์œผ๋ฉฐ, ์ด๋Š” ์—ญํ•™์ ์œผ๋กœ ์ž์œ ๋กœ์šด ํ„ฐ๋„๋ฉด ๋•Œ๋ฌธ์— ์ถ”๊ฐ€์ ์ธ ์‘๋ ฅ์ด ์ ˆ๋ฆฌ๋ฉด ์ƒ์—์„œ ์ „๋‹จ์‘๋ ฅ์œผ๋กœ ์ง‘์ค‘๋˜์–ด ๋น„๊ฐ€์—ญ์ ์ธ ์ „๋‹จํŒฝ์ฐฝ์ด ํฌ๊ฒŒ ๋ฐœ์ƒํ•œ ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์˜ ๊ฒฐ๊ณผ๋Š” ๊ณ ์ค€์œ„ ๋ฐฉ์‚ฌ์„ฑ ํ๊ธฐ๋ฌผ ์‹ฌ์ธต์ฒ˜๋ถ„์žฅ์˜ ๊ณ„ํš ๋ฐ ๊ฑด์„ค ์‹œ ๊ตด์ฐฉ์†์ƒ์˜์—ญ, ์—ด, ๋น™ํ•˜, ์ง€์ง„ ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ๊ณ ๋ คํ•œ ์„ฑ๋Šฅ ํ‰๊ฐ€์˜ ๊ธฐ์ดˆ ์ž๋ฃŒ๋กœ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ํˆฌ์ˆ˜๋Ÿ‰๊ณ„์ˆ˜์™€ ๊ฐ™์€ ์ฒœ์—ฐ๋ฐฉ๋ฒฝ์˜ ์ˆ˜๋ฆฌํ•™์  ์ธ์ž๊ฐ€ ์‹œ๊ฐ„์— ๋”ฐ๋ผ์„œ ๋ณ€ํ™”ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ์ œ์‹œํ•˜์˜€๋‹ค.High-level radioactive waste produced from nuclear power plant continuously emits radioactivity and heat after it has been disposed of, so it should be isolated from the biosphere for a sufficient amount of time. To dispose of high-level radioactive waste, deep geological repository systems consisting of engineered barriers and natural barriers are suggested. As a performance assessment, numerous experiments and numerical simulations are performed to characterize the long-term behaviors of engineered and natural barriers. Especially, the transmissivity of natural barriers is considered an important parameter related to radionuclide leakage. Therefore, the relation between transmissivity and a variety of thermal, hydraulic, and mechanical factors are raised, and quantitative studies to determine the effects on transmissivity are suggested for performance assessment. This thesis aims to quantify the transmissivity of natural barriers, especially crystalline fractured rock, under a variety of factors possibly happening during the construction and operation of a geological repository. Three-dimensional discrete element models were constructed based on the rock and fracture characteristics extracted from the ร„spรถ Hard Rock Laboratory in Sweden to describe the realistic behaviors of the crystalline fractured rock. The effects of excavation damage zone, thermal loading, glaciation, and earthquake were applied to numerical models as the factors disturbing the fracture transmissivity. The excavation damage zone was considered the effect of stress re-distribution inducing the fracture normal deformation and shear slip. The heat sources, glacial boundary conditions, and dynamic load were separately applied to the tunnel model after the stress re-distribution to determine the transmissivity changes. The transmissivity changes induced by the excavation damage zone appeared as three-order increases due to the combined effects of normal opening/closure and shear dilation, depending on the fracture orientation. Thermal, glacial, and earthquake scenarios included the loading and unloading cycles and recovered the initial stress conditions after each scenario ended. Irreversible transmissivity increases were found for several fractures under thermal, glacial, and earthquake effects. According to the transient analysis of transmissivity and stress path, the normal closure dominated the transmissivity during loading cycles, while the irreversible effects of shear dilation were revealed after the dissipation of normal loads. These reversible normal deformations and irreversible shear dilations appeared depending on the geometrical characteristics of fractures. To define the relation between the geometry of fractures and transmissivity changes, the uniformly distributed joints were applied on the tunnel models to analyze the effects of excavation damage zone, thermal loading, glaciation, and earthquake. The transmissivity increases were larger on joints parallel to the direction of maximum horizontal stress due to the absence of effects from the largest principal stress inducing the normal stress on fractures. At the vicinity of the tunnel, the joints that are slightly inclined from the tunnel surface accompanied a large amount of permanent transmissivity increase, because the additional stresses were converted to the shear stress on fractures due to the mechanically free surface. The results extracted in this research can be the basis data for performance assessments of geological repositories under excavation damage zone, thermal loading, glaciation, and earthquake scenarios which can happen during the lifetime of repositories. This thesis implies that the hydraulic parameters of natural barriers should be considered as dynamic variables that change as a repository operates.Chapter 1. Introduction 1 1.1 Motivation 1 1.2 Objectives 4 Chapter 2. Literature review 7 2.1 Excavation Damage Zone 7 2.2 Thermal loading 15 2.3 Glaciation 21 2.4 Earthquake 26 Chapter 3. Theory and methodology 31 3.1 Discrete Element Method 31 3.2 Formulations 35 3.2.1 Deformable block motions 35 3.2.2 Formulations used in thermal features 37 3.2.3 Joint constitutive models 38 3.2.4 Fracture Transmissivity 40 Chapter 4. Geological and geomechanical data of ร„spรถ HRL 43 4.1 Model descriptions 43 4.1.1 ร„spรถ Hard Rock Laboratory 43 4.1.2 Three-dimensional tunnel model 46 4.1.3 Fracture geometry 48 4.2 Properties 50 4.2.1 Mechanical and thermal properties of the host rock 50 4.2.2 Mechanical characteristics of fractures 50 Chapter 5. Transmissivity evolution on the ร„spรถ HRL model 56 5.1 Stress re-distribution by excavation on the ร„spรถ HRL model 56 5.2 Thermal loading on the ร„spรถ HRL model 62 5.2.1 Descriptions of heat source 62 5.2.2 Results of thermal simulations 64 5.3 Glaciation on the ร„spรถ HRL model 71 5.3.1 Descriptions of the glaciation scenario 71 5.3.2 Results of glacial simulations 72 5.4 Earthquake on the ร„spรถ HRL model 79 5.4.1 Descriptions of earthquake models 79 5.4.2 Results of the earthquake simulation 82 Chapter 6. Transmissivity evolution on the uniformly jointed model 86 6.1 Stress re-distribution by excavation on the uniformly jointed model 88 6.1.1 Model with a 0ยฐ joint dip direction 88 6.1.2 Model with a 90ยฐ joint dip direction 90 6.2 Thermal loading on the uniformly jointed model 93 6.2.1 Model with a 0ยฐ joint dip direction 93 6.2.2 Model with a 90ยฐ joint dip direction 96 6.3 Glaciation on the uniformly jointed model 99 6.3.1 Model with a 0ยฐ joint dip direction 99 6.3.2 Model with a 90ยฐ joint dip direction 103 6.4 Earthquake on the uniformly jointed model 108 6.4.1 Model with a 0ยฐ joint dip direction 108 6.4.2 Model with a 90ยฐ joint dip direction 112 Chapter 7. Discussions and conclusions 116 7.1 Discussions 116 7.1.1 Hydraulic coupling 116 7.1.2 Fracture descriptions 118 7.1.3 Repository design 119 7.2 Conclusions 122 Reference 126 ์ดˆ ๋ก 141Docto

    Use of groundwater lifetime expectancy for the performance assessment of a deep geologic waste repository: 1. Theory, illustrations, and implications

    Full text link
    Long-term solutions for the disposal of toxic wastes usually involve isolation of the wastes in a deep subsurface geologic environment. In the case of spent nuclear fuel, if radionuclide leakage occurs from the engineered barrier, the geological medium represents the ultimate barrier that is relied upon to ensure safety. Consequently, an evaluation of radionuclide travel times from a repository to the biosphere is critically important in a performance assessment analysis. In this study, we develop a travel time framework based on the concept of groundwater lifetime expectancy as a safety indicator. Lifetime expectancy characterizes the time that radionuclides will spend in the subsurface after their release from the repository and prior to discharging into the biosphere. The probability density function of lifetime expectancy is computed throughout the host rock by solving the backward-in-time solute transport adjoint equation subject to a properly posed set of boundary conditions. It can then be used to define optimal repository locations. The risk associated with selected sites can be evaluated by simulating an appropriate contaminant release history. The utility of the method is illustrated by means of analytical and numerical examples, which focus on the effect of fracture networks on the uncertainty of evaluated lifetime expectancy.Comment: 11 pages, 8 figures; Water Resources Research, Vol. 44, 200

    Key Topics in Deep Geological Disposal : Conference Report (KIT Scientific Reports ; 7696)

    Get PDF
    The current state of knowledge of central aspects of radioactive waste repository research was presented in the course of the DAEF conference "Key topics in deep geological disposal". For the first time socio-economic and socio-technical issues played an important role within a conference focusing on the disposal of radioactive waste. Scientists from about 16 different countries presented their scientific work in 8 sessions and during a poster session

    Monitoring and the Risk Governance of Repository Development and Staged Closure:Exploratory Engagement Activity in Three European Countries.

    Get PDF
    This report is the product of research activity within the EC Seventh Framework Programme โ€œMonitoring Developments for Safe Repository Operation and Staged Closureโ€ (MoDeRn) Project. This project aims to further develop understanding of the role of monitoring in staged implementation of geological disposal to a level of description that is closer to the actual implementation of monitoring. It focuses on monitoring conducted to confirm the basis of the long term safety case and on monitoring conducted to inform on options available to manage the stepwise disposal process from construction to closure (including e.g. the option of waste retrieval). This report investigates the potential of citizen stakeholder engagement in the identification of monitoring objectives and the development of monitoring strategies for geological disposal of high level waste (HLW) or spent nuclear fuel (SNF). It builds on an earlier MoDeRn report describing monitoring the safe disposal of radioactive waste as a socio-technical activity (Bergmans, Elam, Simmons and Sundqvist 2012)

    Shale disposal of U.S. high-level radioactive waste.

    Full text link
    Approved for public release; further dissemination unlimited. Issued by Sandia National Laboratories, operated for the United States Department of Energy by Sandia Corporation. NOTICE: Neither the United States Government, nor any agency thereof, nor any of their employees, nor any of their contractors, subcontractors, or their employees, make any warranty, express or implied, or assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represent that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government, any agency thereof, or any of their contractors or subcontractors. The views and opinions expressed herein do not necessarily state or reflect those of the United States Government, any agency thereof, or any of their contractors. Printed in the United States of America. This report has been reproduced directly from the best available copy

    MULTI-SPECIES MULTI-PHYSICS MODELING AND VALIDATION OF HYDRODYNAMIC ELECTROCHEMICAL SYSTEM FOR USED NUCLEAR FUEL

    Get PDF
    Department of Nuclear EngineeringAccurate predictions of processes in hydrodynamic electrochemical systems require an understanding of both the surface electrochemical reactions and the bulk mass transport. Complete coupling of electrochemistry and fluid mechanics is computationally very rich for multidimensional modeling since it involves multiple components across multi-phases at the same time. Therefore, this study develops a computational model that combines a 3D model for calculating single-species mass transport and a 2D model for calculating multi-species electrochemical reactions. The computational model is validated against lab-scale experimental data using a rotating cylinder solid metal cathode and liquid metal anode in the Argonne National Laboratory. The 3D model assumes that U, the representative component in the system, dominates the hydrodynamic behavior, and thus calculates mass transport caused by the rotating solid cylinder electrode. The 2D model still reflects the diffusion of U, Pu, and Nd within a diffusion boundary layer and the bulk concentration changes of these components. The 3D model provides a diffusion layer thickness reflecting convective mass transfer effects to the 2D model. The results of the proposed model show good agreement with the reference experiment, and the model can be considered an important tool for investigating the multidimensional distributions of hydrodynamic and electrochemical variables.clos
    • โ€ฆ
    corecore