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Dive into the research topics where Elena Arkadievna Kalinina is active.

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Featured researches published by Elena Arkadievna Kalinina.


SpringerPlus | 2014

Applications of fractured continuum model to enhanced geothermal system heat extraction problems

Elena Arkadievna Kalinina; Katherine A. Klise; Sean Andrew McKenna; Teklu Hadgu; Thomas Stephen Lowry

This paper describes the applications of the fractured continuum model to the different enhanced geothermal systems reservoir conditions. The capability of the fractured continuum model to generate fracture characteristics expected in enhanced geothermal systems reservoir environments are demonstrated for single and multiple sets of fractures. Fracture characteristics are defined by fracture strike, dip, spacing, and aperture. The paper demonstrates how the fractured continuum model can be extended to represent continuous fractured features, such as long fractures, and the conditions in which the fracture density varies within the different depth intervals. Simulations of heat transport using different fracture settings were compared with regard to their heat extraction effectiveness. The best heat extraction was obtained in the case when fractures were horizontal. A conventional heat extraction scheme with vertical wells was compared to an alternative scheme with horizontal wells. The heat extraction with the horizontal wells was significantly better than with the vertical wells when the injector was at the bottom.


Archive | 2017

System Theoretic Frameworks for Mitigating Risk Complexity in the Nuclear Fuel Cycle

Adam David Williams; Amir H. Mohagheghi; Brian Cohn; Douglas Osborn; Katherine A. Jones; Mercy DeMenno; Elena Arkadievna Kalinina; Maikael A. Thomas; Ethan Rutledge Parks; Mancel Jordan Parks; Brian A. Jeantete

In response to the expansion of nuclear fuel cycle (NFC) activities—and the associated suite of risks—around the world, this project evaluated systems-based solutions for managing such risk complexity in multimodal and multi-jurisdictional international spent nuclear fuel (SNF) transportation. By better understanding systemic risks in SNF transportation, developing SNF transportation risk assessment frameworks, and evaluating these systems-based risk assessment frameworks, this research illustrated interdependency between safety, security, and safeguards risks is inherent in NFC activities and can go unidentified when each “S” is independently evaluated. Two novel system-theoretic analysis techniques—dynamic probabilistic risk assessment (DPRA) and system-theoretic process analysis (STPA)—provide integrated “3S” analysis to address these interdependencies and the research results suggest a need—and provide a way—to reprioritize United States engagement efforts to reduce global nuclear risks. Lastly, this research identifies areas where Sandia


ASME 2015 Pressure Vessels and Piping Conference | 2015

Unit Dose Factors for Transportation of Radioactive Materials

Kevin J. Connolly; Elena Arkadievna Kalinina

It will be necessary in the future to transport spent nuclear fuel on a large-scale basis from nuclear power plant sites to interim storage and/or a repository. Shipments of radioactive material are required to comply with regulations limiting the dose rate to no more than 0.1 mSv (10 mrem) per hour at 2 meters from the sides of the vehicle transporting the package. Determining the resulting dose to the public will be necessary for a number of reasons (e.g., stakeholder concerns, environmental impact statements). In order to understand the dose consequence of such a transportation system, this paper describes a method for determining unit dose factors. These are defined as the dose to the public per unit distance traveled along a road, rail, or waterway from one shipment assuming unit values for the other route specific parameters. The actual dose to the public is calculated using unit dose factors, the dose rate due to the radiation field emanating from the package, and characteristics of the route itself. Route specific parameters include the speed of the conveyance, the population density, and characteristics of the environment surrounding the route; these are provided by a routing tool. Using these unit dose factors, in conjunction with a routing tool, it will be possible to quantify the collective dose to the public and understand the ramifications of choosing specific routes.Copyright


Packaging, Transport, Storage and Security of Radioactive Material | 2014

Transportation operations model analysis for removal of stranded fuel from shutdown reactors

Elena Arkadievna Kalinina; Paul E. McConnell; Ingrid K. Busch; Steven J. Maheras; Ralph E. Best

Abstract The transportation operations model was used to identify options for removing stranded fuel currently in dry storage at nine shutdown reactor sites to a hypothetical consolidated storage facility. The logistical variables included the campaign duration, fuel selection priority, consist size and location of the consolidated storage and maintenance facilities. The major factors affecting the logistics of fuel removal were identified. Recommendations for optimal strategies for the transport of stranded fuel from shutdown sites are made.


Journal of Geological Resource and Engineering | 2014

Sensitivity of the Community Land Model (CLM4.0) to Key Modeling Parameters and Modeling of Key Physical Processes with Focus on the Arctic Environment

Vincent Carroll Tidwell; George A. Backus; Elena Arkadievna Kalinina; William J. Peplinski; David Hart

The purpose of this study was to identify major parameters and physical processes that have greatest impacts on the near surface energy balance in the Arctic environment. The historical data set for the period of 1948 to 2004 from National Center for Atmospheric Research (NCAR) was used to generate atmospheric forcing data for this analysis. The CLM 4.0 (Community Land Model) was used for land simulations of the point grid cell located near Fairbanks, Alaska. A range of hydrogeologic and thermal soil properties and vegetation characteristics were defined for the vegetation and soil data. The current approach used in CLM was modified to simulate soil moisture to allow for more realistic water table representation. Multiple CLM sensitivity runs were analyzed with regard to their effects on the feedbacks to the atmospheric model. This analysis allowed for identifying major parameters and important physical processes with the potential to impact the climate either in the short or long term. . Sensitivity of the Community Land Model (CLM4.0) to Key Modeling Parameters and Modeling of Key Physical Processes with Focus on the Arctic Environment


Volume 1: Low/Intermediate-Level Radioactive Waste Management; Spent Fuel, Fissile Material, Transuranic and High-Level Radioactive Waste Management | 2013

Used Fuel Management System Architecture and Interface Analyses

Mark Nutt; Rob L Howard; Ingrid K. Busch; Joe Carter; Alexcia Delley; Elena Arkadievna Kalinina; Ernest Hardin; Thomas Cotton

Preliminary system-level analyses of the interfaces between at-reactor used fuel management, consolidated storage facilities, and disposal facilities, along with the development of supporting logistics simulation tools, have been initiated to provide the U.S. Department of Energy (DOE) and other stakeholders with information regarding the various alternatives for managing used nuclear fuel (UNF) generated by the current fleet of light water reactors operating in the United States. An important UNF management system interface consideration is the need for ultimate disposal of UNF assemblies contained in waste packages that are sized to be compatible with different geologic media. Thermal analyses indicate that waste package sizes for the geologic media under consideration by the Used Fuel Disposition Campaign may be significantly smaller than the canisters being used for on-site dry storage by the nuclear utilities. Therefore, at some point along the UNF disposition pathway, there could be a need to repackage fuel assemblies already loaded and being loaded into the dry storage canisters currently in use. The implications of where and when the packaging or repackaging of commercial UNF will occur are key questions being addressed in this evaluation. The analysis demonstrated that thermal considerations will have a major impact on the operation of the system and that acceptance priority, rates, and facility start dates have significant system implications.Copyright


Archive | 2012

Risk assessment of climate systems for national security.

George A. Backus; Mark Bruce Elrick Boslough; Theresa J. Brown; Ximing Cai; Stephen H. Conrad; Paul G. Constantine; Keith R. Dalbey; Bert J. Debusschere; Richard Fields; David Hart; Elena Arkadievna Kalinina; Alan R. Kerstein; Michael L. Levy; Thomas Stephen Lowry; Leonard A. Malczynski; Habib N. Najm; James R. Overfelt; Mancel Jordan Parks; William J. Peplinski; Cosmin Safta; Khachik Sargsyan; William A. Stubblefield; Mark A. Taylor; Vincent Carroll Tidwell; Timothy G. Trucano; Daniel Villa

Climate change, through drought, flooding, storms, heat waves, and melting Arctic ice, affects the production and flow of resource within and among geographical regions. The interactions among governments, populations, and sectors of the economy require integrated assessment based on risk, through uncertainty quantification (UQ). This project evaluated the capabilities with Sandia National Laboratories to perform such integrated analyses, as they relate to (inter)national security. The combining of the UQ results from climate models with hydrological and economic/infrastructure impact modeling appears to offer the best capability for national security risk assessments.


Archive | 2012

ANALYSIS OF THE EFFECTS OF HETEROGENEITY ON HEAT EXTRACTION IN AN EGS REPRESENTED WITH THE CONTINUUM FRACTURE MODEL

Elena Arkadievna Kalinina; Sean Andrew McKenna; Teklu Hadgu; Thomas Stephen Lowry


Geothermics | 2016

Modeling of heat extraction from variably fractured porous media in Enhanced Geothermal Systems

Teklu Hadgu; Elena Arkadievna Kalinina; Thomas Stephen Lowry


Archive | 2011

Systems Engineering Analysis.

Thomas Stephen Lowry; Sean Andrew McKenna; Teklu Hadgu; Elena Arkadievna Kalinina

Collaboration


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Teklu Hadgu

Sandia National Laboratories

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Thomas Stephen Lowry

Sandia National Laboratories

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Katherine A. Klise

Sandia National Laboratories

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Ernest Hardin

Sandia National Laboratories

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Yifeng Wang

Sandia National Laboratories

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Ingrid K. Busch

Oak Ridge National Laboratory

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Rob L Howard

Oak Ridge National Laboratory

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Mancel Jordan Parks

Sandia National Laboratories

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Adam David Williams

Sandia National Laboratories

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