Update 3 to: A Dispersion Modeling Analysis of Downwash from...
3 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Units 1 and 4 Together Update 3 to: A Dispersion Modeling Analysis of Downwash...
Update 6 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
6 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant Modeling Baseload Units 3,4,5 Update 6 to: A Dispersion Modeling Analysis of Downwash from...
Update 1 to: A Dispersion Modeling Analysis of Downwash from...
Office of Environmental Management (EM)
1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions in a Cycling Mode Update 1 to: A Dispersion Modeling Analysis of...
Update 2 to: A Dispersion Modeling Analysis of Downwash from...
Update 2 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 1 Emissions at Maximum and Minimum Loads Update 2 to: A Dispersion...
Update 5 to: A Dispersion Modeling Analysis of Downwash from...
Broader source: Energy.gov (indexed) [DOE]
Update 5 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant: Modeling Cycling Units 1, 2 plus One Baseload Unit More Documents & Publications...
Update 4 to: A Dispersion Modeling Analysis of Downwash from...
Broader source: Energy.gov (indexed) [DOE]
Update 4 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant, Modeling Unit 4 Emissions at Maximum and Minimum Loads More Documents &...
Ensemble Atmospheric Dispersion Modeling
Addis, R.P.
2002-06-24
Prognostic atmospheric dispersion models are used to generate consequence assessments, which assist decision-makers in the event of a release from a nuclear facility. Differences in the forecast wind fields generated by various meteorological agencies, differences in the transport and diffusion models, as well as differences in the way these models treat the release source term, result in differences in the resulting plumes. Even dispersion models using the same wind fields may produce substantially different plumes. This talk will address how ensemble techniques may be used to enable atmospheric modelers to provide decision-makers with a more realistic understanding of how both the atmosphere and the models behave.
Dispersive analysis of ?/? ? 3?, ??*
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Danilkin, Igor V.; Fernandez Ramirez, Cesar; Guo, Peng; Mathieu, Vincent; Schott, Diane M.; Shi, Meng; Szczepaniak, Adam P.
2015-05-01
The decays ?/? ? 3? are considered in the dispersive framework that is based on the isobar decomposition and subenergy unitarity. The inelastic contributions are parametrized by the power series in a suitably chosen conformal variable that properly accounts for the analytic properties of the amplitude. The Dalitz plot distributions and integrated decay widths are presented. Our results indicate that the final- state interactions may be sizable. As a further application of the formalism we also compute the electromagnetic transition form factors of ?/? ? ???*.
Modeling volcanic ash dispersal
None
2011-10-06
Explosive volcanic eruptions inject into the atmosphere large amounts of volcanic material (ash, blocks and lapilli). Blocks and larger lapilli follow ballistic and non-ballistic trajectories and fall rapidly close to the volcano. In contrast, very fine ashes can remain entrapped in the atmosphere for months to years, and may affect the global climate in the case of large eruptions. Particles having sizes between these two end-members remain airborne from hours to days and can cover wide areas downwind. Such volcanic fallout entails a serious threat to aircraft safety and can create many undesirable effects to the communities located around the volcano. The assessment of volcanic fallout hazard is an important scientific, economic, and political issue, especially in densely populated areas. From a scientific point of view, considerable progress has been made during the last two decades through the use of increasingly powerful computational models and capabilities. Nowadays, models are used to quantify hazard scenarios and/or to give short-term forecasts during emergency situations. This talk will be focused on the main aspects related to modeling volcanic ash dispersal and fallout with application to the well known problem created by the Eyjafjöll volcano in Iceland. Moreover, a short description of the main volcanic monitoring techniques is presented.
Update 6 to: A Dispersion Modeling Analysis of Downwash from Mirant's
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLEStatutoryin theNuclear EnergyPotomac River Power Plant Modeling
Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling...
Office of Environmental Management (EM)
"Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's Potomac River Power Plant" Review of the ENSR Report Titled "Update 1 to: A Dispersion Modeling Analysis of...
Kirby, James T.
Dispersive tsunami waves in the ocean: Model equations and sensitivity to dispersion and Coriolis online 19 December 2012 Keywords: Boussinesq wave model Tsunami Dispersive effect Coriolis effect a bKutta scheme in time. In the context of tsunami generation and propagation over trans-oceanic distances
Dispersion modeling of ground-level area sources of particulate
Fritz, Bradley Keith
1998-01-01
The use of dispersion modeling by State Air Pollution hics. Regulatory Agencies (SAPRAS) is increasing. Dispersion modeling provides a quick and efficient means of determining the downwind impact of pollutant release from a source. The SAPRAS...
Dispersed Fluid Flow in Fractured Reservoirs- an Analysis of...
Dispersed Fluid Flow in Fractured Reservoirs- an Analysis of Tracer-Determined Residence Time Distributions Jump to: navigation, search OpenEI Reference LibraryAdd to library...
Urban dispersion : challenges for fast response modeling
Brown, M. J. (Michael J.)
2004-01-01
There is renewed interest in urban dispersion modeling due to the need for tools that can be used for responding to, planning for, and assessing the consequences of an airborne release of toxic materials. Although not an everyday phenomenon, releases of hazardous gases and aerosols have occurred in populated urban environments and are potentially threatening to human life. These releases may stem from on-site accidents as in the case of industrial chemical releases, may result during transport of hazardous chemicals as in tanker truck or railroad spills, or may be premeditated as in a chemical, biological, or radiological (CBR) agent terrorist attack. Transport and dispersion in urban environments is extremely complicated. Buildings alter the flow fields and deflect the wind, causing updrafts and downdrafts, channeling between buildings, areas of calm winds adjacent to strong winds, and horizontally and vertically rotating-eddies between buildings, at street corners, and other places within the urban canopy (see review by Hosker, 1984). Trees, moving vehicles, and exhaust vents among other things further complicate matters. The distance over which chemical, biological, or radiological releases can be harmful varies from tens of meters to many kilometers depending on the amount released, the toxicity of the agent, and the atmospheric conditions. As we will show later, accounting for the impacts of buildings on the transport and dispersion is crucial in estimating the travel direction, the areal extent, and the toxicity levels of the contaminant plume, and ultimately for calculating exposures to the population.
Analysis of Tracer Dispersion During a Prescribed Forest Burn
Collins, Gary S.
to manage global warming (Wiedinmyer, 2010) As land managers consider increased burning, air quality our understanding of pollutant emission rates associated with prescribed forest burns. Methods Site tracer and pollutant dispersion patterns. Modeling The WindTrax stochastic particle dispersion model
A study of micro fiber dispersion using digital image analysis
Hendrarsakti, Jooned
2004-11-15
of this dissertation is to investigate the use of texture analysis as a tool to micro fiber dispersion measurement. Micro fiber dispersion can be found in many applications such as in paper and industry powder engineering. Three cases related to micro fiber...
Atmospheric Dispersion Modeling in Safety Analyses; GENII
Office of Environmental Management (EM)
Comparison 9 GENII Dispersion Adjustments Plume rise from buoyancy andor momentum Wind Speed Profiling Adjusts the measured wind speed to final plume height Diabatic wind...
Performance Analysis of Dispersed Spectrum Cognitive Radio Systems
Mohammad, Muneer
2011-02-22
Dispersed spectrum cognitive radio systems represent a promising approach to exploit the utilization of spectral resources to full extent. Therefore, the performance analysis of such systems is conducted in this research. The Average symbol error...
Dense gas dispersion modeling for aqueous releases
Lara, Armando
1999-01-01
concern since they disperse at ground level. Toxic or combustible materials with boiling points below ambient temperature, such as chlorine and ammonia, are usually stored or transported as a saturated liquid. A release from such a system is likely...
Modelling long-distance seed dispersal in heterogeneous landscapes.
Levey, Douglas, J.; Tewlsbury, Joshua, J.; Bolker, Benjamin, M.
2008-01-01
1. Long-distance seed dispersal is difficult to measure, yet key to understanding plant population dynamics and community composition. 2. We used a spatially explicit model to predict the distribution of seeds dispersed long distances by birds into habitat patches of different shapes. All patches were the same type of habitat and size, but varied in shape. They occurred in eight experimental landscapes, each with five patches of four different shapes, 150 m apart in a matrix of mature forest. The model was parameterized with smallscale movement data collected from field observations of birds. In a previous study we validated the model by testing its predictions against observed patterns of seed dispersal in real landscapes with the same types and spatial configuration of patches as in the model. 3. Here we apply the model more broadly, examining how patch shape influences the probability of seed deposition by birds into patches, how dispersal kernels (distributions of dispersal distances) vary with patch shape and starting location, and how movement of seeds between patches is affected by patch shape. 4. The model predicts that patches with corridors or other narrow extensions receive higher numbers of seeds than patches without corridors or extensions. This pattern is explained by edgefollowing behaviour of birds. Dispersal distances are generally shorter in heterogeneous landscapes (containing patchy habitat) than in homogeneous landscapes, suggesting that patches divert the movement of seed dispersers, ‘holding’ them long enough to increase the probability of seed defecation in the patches. Dispersal kernels for seeds in homogeneous landscapes were smooth, whereas those in heterogenous landscapes were irregular. In both cases, long-distance (> 150 m) dispersal was surprisingly common, usually comprising approximately 50% of all dispersal events. 5. Synthesis . Landscape heterogeneity has a large influence on patterns of long-distance seed dispersal. Our results suggest that long-distance dispersal events can be predicted using spatially explicit modelling to scale-up local movements, placing them in a landscape context. Similar techniques are commonly used by landscape ecologists to model other types of movement; they offer much promise to the study of seed dispersal.
Particulate dispersion apparatus for the validation of plume models
Bala, William D
2001-01-01
The purpose of this thesis is to document design, development, and fabrication of a transportable source of dry aerosol to improve testing and validation of atmospheric plume models. The proposed dispersion apparatus is intended to complement...
DEVELOPMENT OF AN FDTD TOOL FOR MODELING OF DISPERSIVE MEDIA
Koledintseva, Marina Y.
.122; =2.91E-11 s; e = 2.257E-3 S/m. Copper planes were modeled as PEC plates. The excitation sourceDEVELOPMENT OF AN FDTD TOOL FOR MODELING OF DISPERSIVE MEDIA Part II. Examples of the EZ-FDTD modeling and measurements. Jianmin Zhang, Jing Wu, Marina Y. Koledintseva, James L. Drewniak, University
Data Assimilation in Variable Dimension Dispersion Models using Particle Filters
Singh, Tarunraj
Data Assimilation in Variable Dimension Dispersion Models using Particle Filters K. V. Umamaheswara at Buffalo Buffalo, NY, U.S.A. peter@buffalo.edu Abstract-- Data assimilation in the context of puff based models usually lead to high dimensional space-gridded state space models. In the case of puff based
Diffusion and Dispersion Characterization of a Numerical Tsunami Model
Tolkova, Elena
Diffusion and Dispersion Characterization of a Numerical Tsunami Model David Burwell, Elena Tolkova and Arun Chawla February 6, 2007 1 Introduction Method Of Splitting Tsunami (MOST) is a depth averaged long wave tsunami inundation model that was originally developed by Titov and Synolakis (1995) for 1D
Coupling traffic models on networks and urban dispersion models for simulating sustainable
Ceragioli, Francesca
models for modeling and testing different traffic scenarios, in order to define the impact on air quality it with the urban dispersion model Sirane. Keywords: urban air quality, macroscopic traffic models, road networks, pollutant dispersion models, traffic emissions control. AMS subject classification: 35L65, 35L67, 60K30, 90B
Use and Application of the ARCON96 Dispersion Model at the Y-12 Complex
Walker, D.A.; Lee, D.W.; Miller, R.L.
2001-06-04
The Atmospheric Relative Concentrations in Building Wakes computer code (ARCON96) was developed for the U.S. Nuclear Regulatory Commission (NRC) to calculate normalized concentrations in plumes from nuclear power plants at control room air intakes in the vicinity of hypothetical accidental releases. ARCON96 implements a straight-line Gaussian dispersion model with dispersion coefficients that are modified to account for low-wind-speed meander and building wake effects. These two modifications to the dispersion coefficients were benchmarked and justified in the ARCON96 code documentation. The code calculates {chi}/Q values (normalized concentrations) consistent with the methodology defined in NRC Regulatory Guide (RG) 1.145, position 3. Based on recent U. S. Department of Energy (DOE) acceptance of NRC RG 1.145, position 3 methodology for performing accident dispersion analyses, BWXT Y-12 L.L.C. evaluated the potential use and application for performing dispersion analyses at the Y-12 Complex. Using site specific meteorology inputs, a generic analysis (assuming ground-level releases) was performed to develop site-wide normalized concentrations for various distances to be used in consequence screening analyses. Additionally, the results were compared to other dispersion analysis models for confirmation of the results.
Model hydrocracking reactions over monometallic and bimetallic dispersed catalysts
Schmidt, E.; Song, C. [Penn State Univ., University Park, PA (United States)
1994-12-31
Coal liquefaction involves the cleavage of methylene and dimethylene bridges connecting polycyclic aromatic units. The selected compound for model reactions is 4-(1-naphthylmethyl)bibenzyl (NMBB). This work describes the synthesis and screening of several metallic complex precursors as dispersed catalysts for hydrocracking of NMBB.
GIS and plume dispersion modeling for population exposure assessment
Archer, Jeffrey Keith
1998-01-01
al. 1995, Maslia, et al. 1994). A study of the Monticello power plant in northeast Texas was conducted using the SCREEN3 mathematical plume dispersion model, US Census Bureau demographic data, and a GIS to examine the effects of the plant output...
AIR DISPERSION MODELING AT THE WASTE ISOLATION PILOT PLANT
Rucker, D.F.
2000-08-01
One concern at the Waste Isolation Pilot Plant (WIPP) is the amount of alpha-emitting radionuclides or hazardous chemicals that can become airborne at the facility and reach the Exclusive Use Area boundary as the result of a release from the Waste Handling Building (WHB) or from the underground during waste emplacement operations. The WIPP Safety Analysis Report (SAR), WIPP RCRA Permit, and WIPP Emergency Preparedness Hazards Assessments include air dispersion calculations to address this issue. Meteorological conditions at the WIPP facility will dictate direction, speed, and dilution of a contaminant plume of respirable material due to chronic releases or during an accident. Due to the paucity of meteorological information at the WIPP site prior to September 1996, the Department of Energy (DOE) reports had to rely largely on unqualified climatic data from the site and neighboring Carlsbad, which is situated approximately 40 km (26 miles) to the west of the site. This report examines the validity of the DOE air dispersion calculations using new meteorological data measured and collected at the WIPP site since September 1996. The air dispersion calculations in this report include both chronic and acute releases. Chronic release calculations were conducted with the EPA-approved code, CAP88PC and the calculations showed that in order for a violation of 40 CFR61 (NESHAPS) to occur, approximately 15 mCi/yr of 239Pu would have to be released from the exhaust stack or from the WHB. This is an extremely high value. Hence, it is unlikely that NESHAPS would be violated. A site-specific air dispersion coefficient was evaluated for comparison with that used in acute dose calculations. The calculations presented in Section 3.2 and 3.3 show that one could expect a slightly less dispersive plume (larger air dispersion coefficient) given greater confidence in the meteorological data, i.e. 95% worst case meteorological conditions. Calculations show that dispersion will decrease slightly if a more stable wind class is assumed, where very little vertical mixing occurs. It is recommended that previous reports which used fixed values for calculating the air dispersion coefficient be updated to reflect the new meteorological data, such as the WIPP Safety Analysis Report and the WIPP Emergency Preparedness Hazards Assessment. It is also recommended that uncertainty be incorporated into the calculations so that a more meaningful assessment of risk during accidents can be achieved.
Creation of the model and implementation of the simulation of dispersion of air pollution in urban
Bargiela, Andrzej
Creation of the model and implementation of the simulation of dispersion of air pollution in urban..............................................................................................................1 1.2. Types of models of dispersion of air pollution was creation of the mathematical model and application of the simulation of dispersion of vehicular air
The Lagrangian particle dispersion model FLEXPART-WRF VERSION 3.1
Brioude, J.; Arnold, D.; Stohl, A.; Cassiani, M.; Morton, Don; Seibert, P.; Angevine, W. M.; Evan, S.; Dingwell, A.; Fast, Jerome D.; Easter, Richard C.; Pisso, I.; Bukhart, J.; Wotawa, G.
2013-11-01
The Lagrangian particle dispersion model FLEXPART was originally designed for cal- culating long-range and mesoscale dispersion of air pollutants from point sources, such as after an accident in a nuclear power plant. In the meantime FLEXPART has evolved into a comprehensive tool for atmospheric transport modeling and analysis at different scales. This multiscale need from the modeler community has encouraged new developments in FLEXPART. In this document, we present a version that works with the Weather Research and Forecasting (WRF) mesoscale meteoro- logical model. Simple procedures on how to run FLEXPART-WRF are presented along with special options and features that differ from its predecessor versions. In addition, test case data, the source code and visualization tools are provided to the reader as supplementary material.
Mathematical modeling of air pollution emissions and dispersion near intersections
Nelli, James Patrick
1982-01-01
Administration (PHWA) RFP No. DTPB61-80-8-00340 under Texas Transportation Institute (TTI) Project So. 2-8-81-541 and is intended to provide an improved perspective in the analysis of highway air pollution hot spots. The study was directed toward... of the free-flowing traffic. Since the dispersion nomographs were derived for a receptor height of 1. 8 metres (5. 9 ft), additional nomographs are presented relating roadway/receptor separa- tion and actual receptor height to a height correction factor, z...
Air Dispersion Modeling for Building 3026C/D Demolition
Ward, Richard C; Sjoreen, Andrea L; Eckerman, Keith F
2010-06-01
This report presents estimates of dispersion coefficients and effective dose for potential air dispersion scenarios of uncontrolled releases from Oak Ridge National Laboratory (ORNL) buildings 3026C, 3026D, and 3140 prior to or during the demolition of the 3026 Complex. The Environmental Protection Agency (EPA) AERMOD system1-6 was used to compute these estimates. AERMOD stands for AERMIC Model, where AERMIC is the American Meteorological Society-EPA Regulatory Model Improvement Committee. Five source locations (three in building 3026D and one each in building 3026C and the filter house 3140) and associated source characteristics were determined with the customer. In addition, the area of study was determined and building footprints and intake locations of air-handling systems were obtained. In addition to the air intakes, receptor sites consisting of ground level locations on four polar grids (50 m, 100 m, 200 m, and 500 m) and two intersecting lines of points (50 m separation), corresponding to sidewalks along Central Avenue and Fifth Street. Three years of meteorological data (2006 2008) were used each consisting of three datasets: 1) National Weather Service data; 2) upper air data for the Knoxville-Oak Ridge area; and 3) local weather data from Tower C (10 m, 30 m and 100 m) on the ORNL reservation. Annual average air concentration, highest 1 h average and highest 3 h average air concentrations were computed using AERMOD for the five source locations for the three years of meteorological data. The highest 1 h average air concentrations were converted to dispersion coefficients to characterize the atmospheric dispersion as the customer was interested in the most significant response and the highest 1 h average data reflects the best time-averaged values available from the AERMOD code. Results are presented in tabular and graphical form. The results for dose were obtained using radionuclide activities for each of the buildings provided by the customer.7 Radiation dose was calculated assuming complete release of the building inventory as information was lacking regarding the portion of the building inventory expected to be released. Thus the results are derived using an extremely conservative release as documented in the Preliminary Hazard Screening report.7 To more closely approximate the result of a release, one must estimate the fraction of the total inventory released and multiply the results described above by that fraction. An example of how this calculation is accomplished is provided. Should an actual uncontrolled release occur, the results of this modeling effort could only be used to establish a rough order-of-magnitude for the event.
Bayesian Network Analysis of Radiological Dispersal Device Acquisitions
Hundley, Grant Richard
2012-02-14
It remains unlikely that a terrorist organization could produce or procure an actual nuclear weapon. However, the construction of a radiological dispersal device (RDD) from commercially produced radioactive sources and conventional explosives could...
Lithospheric Thickness Modeled from Long Period Surface Wave Dispersion
Pasyanos, M E
2008-05-15
The behavior of surface waves at long periods is indicative of subcrustal velocity structure. Using recently published dispersion models, we invert surface wave group velocities for lithospheric structure, including lithospheric thickness, over much of the Eastern Hemisphere, encompassing Eurasia, Africa, and the Indian Ocean. Thicker lithosphere under Precambrian shields and platforms are clearly observed, not only under the large cratons (West Africa, Congo, Baltic, Russia, Siberia, India), but also under smaller blocks like the Tarim Basin and Yangtze craton. In contrast, it is found that remobilized Precambrian structures like the Saharan Shield and Sino-Korean Paraplatform do not have well-established lithospheric keels. The thinnest lithospheric thickness is found under oceanic and continental rifts, as well as along convergence zones. We compare our results to thermal models of continental lithosphere, lithospheric cooling models of oceanic lithosphere, lithosphere-asthenosphere boundary (LAB) estimates from S-wave receiver functions, and velocity variations of global tomography models. In addition to comparing results for the broad region, we examine in detail the regions of Central Africa, Siberia, and Tibet. While there are clear differences in the various estimates, overall the results are generally consistent. Inconsistencies between the estimates may be due to a variety of reasons including lateral and depth resolution differences and the comparison of what may be different lithospheric features.
Analysis of Thermal Dispersion in an Array of Parallel Plates with Fully-Developed Laminar Flow
Fleck, Norman A.
basic heat transfer problems are addressed, each for steady fully-developed laminar fluid flow: (a1 Analysis of Thermal Dispersion in an Array of Parallel Plates with Fully-Developed Laminar Flow dispersion, parallel plate array, fully-developed laminar flow, Peclet number #12;2 Notation a molecular
Weakly dispersive hydraulic flows in a contraction --Nonlinear stability analysis
Ee, Bernard Kuowei
match an asymptotically flat upstream subcritical state with a similar downstream supercritical state of hydraulic transitions connecting upstream solitary wave-trains and a downstream plateau or steady downstream and their corresponding linear stability were considered. Let the upstream and downstream height of a weakly dispersive
Liquefied Natural Gas (LNG) Vapor Dispersion Modeling with Computational Fluid Dynamics Codes
Qi, Ruifeng
2012-10-19
Federal regulation 49 CFR 193 and standard NFPA 59A require the use of validated consequence models to determine the vapor cloud dispersion exclusion zones for accidental liquefied natural gas (LNG) releases. For modeling purposes, the physical...
Lee, S.; Keener, T.C. [University of Cincinnati, Cincinnati, OH (United States). Dept. of Civil and Environmental Engineering
2009-09-15
Mercury emissions from coal-fired power plants are estimated to contribute to approximately 46% of the total US anthropogenic mercury emissions and required to be regulated by maximum achievable control technology (MACT) standards. Dispersion modeling of mercury emissions using the AERMOD model and the industrial source complex short term (ISCST3) model was conducted for two representative coal-fired power plants at Coshocton and Manchester, Ohio. Atmospheric mercury concentrations, dry mercury deposition rates, and wet mercury deposition rates were predicted in a 5 x 5 km area surrounding the Coonesville and JM Stuart coal-fired power plants. In addition, the analysis results of meteorological parameters showed that wet mercury deposition is dependent on precipitation, but dry mercury deposition is influenced by various meteorological factors. 8 refs., 5 figs., 3 tabs.
Shinozuka, Masanobu
GIS-Based Hazardous Gas Dispersion, Simulations and Analysis Debasis Karmakar, Samit Ray Chaudhuri methodology to be developed for hazardous gas dispersion connecting Disaster Simulation and Trace with GIS of Gas Dispersion Affected Area Overlaid on Satellite Image (using ArcGIS 9.2) Scenario-based Simulation
Nonlocal extension of the dispersive-optical-model to describe data below the Fermi energy
W. H. Dickhoff; D. Van Neck; S. J. Waldecker; R. J. Charity; L. G. Sobotka
2010-10-07
Present applications of the dispersive-optical-model analysis are restricted by the use of a local but energy-dependent version of the generalized Hartree-Fock potential. This restriction is lifted by the introduction of a corresponding nonlocal potential without explicit energy dependence. Such a strategy allows for a complete determination of the nucleon propagator below the Fermi energy with access to the expectation value of one-body operators (like the charge density), the one-body density matrix with associated natural orbits, and complete spectral functions for removal strength. The present formulation of the dispersive optical model (DOM) therefore allows the use of elastic electron-scattering data in determining its parameters. Application to ${}^{40}$Ca demonstrates that a fit to the charge radius leads to too much charge near the origin using the conventional assumptions of the functional form of the DOM. A corresponding incomplete description of high-momentum components is identified, suggesting that the DOM formulation must be extended in the future to accommodate such correlations properly. Unlike the local version, the present nonlocal DOM limits the location of the deeply-bound hole states to energies that are consistent with (\\textit{e,e}$^{\\prime}$\\textit{p}) and (\\textit{p,2p}) data.
Atmospheric Dispersion Modeling: Challenges of the Fukushima Daiichi Response
Sugiyama, Gayle [Lawrence Livermore National Laboratory; Nasstrom, John [Lawrence Livermore National Laboratory; Pobanz, Brenda [Lawrence Livermore National Laboratory; Foster, Kevin [Lawrence Livermore National Laboratory; Simpson, Matthew [Lawrence Livermore National Laboratory; Vogt, Phil [Lawrence Livermore National Laboratory; Aluzzi, Fernando [Lawrence Livermore National Laboratory; Homann, Steve [Lawrence Livermore National Laboratory
2012-05-01
The U.S. Department of Energy’s (DOE) National Atmospheric Release Advisory Center (NARAC) provided a wide range of predictions and analyses as part of the response to the Fukushima Daiichi Nuclear Power Plant accident. This work encompassed: weather forecasts and atmospheric transport predictions, estimates of possible dose in Japan based on hypothetical U.S. Nuclear Regulatory Commission scenarios of potential radionuclide releases, predictions of possible plume arrival times and dose levels at U.S. locations, and source estimation and plume model refinement. An overview of NARAC response activities is provided, along with a more in-depth discussion of some of NARAC’s preliminary source reconstruction analyses. NARAC optimized the overall agreement of model predictions to dose rate measurements using statistical comparisons of data and model values paired in space and time. Estimated emission rates varied depending on the choice of release assumptions (e.g., time-varying vs. constant release rates), the radionuclide mix, meteorology, and/or the radiological data used in the analysis. Results were found to be consistent with other studies within expected uncertainties, despite the application of different source estimation methodologies and the use of significantly different radiological measurement data. A discussion of some of the operational and scientific challenges encountered during the response, along with recommendations for future work, is provided.
Air dispersion modeling of particulate matter from ground-level area sources
Meister, Michael Todd
2000-01-01
State Air Pollution Regulatory Agencies (SAPRAs) often use dispersion modeling to predict downwind concentrations of particulate matter (PM) from a facility. As such, a facility may be granted or denied an operating permit ...
Price, Jacqueline Elaine
2004-11-15
Engineering directly impacts current and future regulatory policy decisions. The foundation of air pollution control and air pollution dispersion modeling lies in the math, chemistry, and physics of the environment. ...
Broader source: Energy.gov [DOE]
DOE modeling and analysis activities focus on reducing uncertainties and improving transparency in photovoltaics (PV) and concentrating solar power (CSP) performance modeling. The overall goal of...
Particle dispersion in homogeneous turbulence using the one-dimensional turbulence model
Sun, Guangyuan, E-mail: gysungrad@gmail.com; Lignell, David O., E-mail: davidlignell@byu.edu [Chemical Engineering Department, Brigham Young University, Provo, Utah 84602 (United States); Hewson, John C., E-mail: jchewso@sandia.gov [Fire Science and Technology Department, Sandia National Laboratories, Albuquerque, New Mexico 87123 (United States); Gin, Craig R., E-mail: cgin@math.tamu.edu [Department of Mathematics, Texas A and M University, College Station, Texas 77843 (United States)
2014-10-15
Lagrangian particle dispersion is studied using the one-dimensional turbulence (ODT) model in homogeneous decaying turbulence configurations. The ODT model has been widely and successfully applied to a number of reacting and nonreacting flow configurations, but only limited application has been made to multiphase flows. Here, we present a version of the particle implementation and interaction with the stochastic and instantaneous ODT eddy events. The model is characterized by comparison to experimental data of particle dispersion for a range of intrinsic particle time scales and body forces. Particle dispersion, velocity, and integral time scale results are presented. The particle implementation introduces a single model parameter ?{sub p}, and sensitivity to this parameter and behavior of the model are discussed. Good agreement is found with experimental data and the ODT model is able to capture the particle inertial and trajectory crossing effects. These results serve as a validation case of the multiphase implementations of ODT for extensions to other flow configurations.
Popov, Alexander K
2015-01-01
Comparative analysis of second harmonic generation in ordinary and backward-wave settings is presented. Extraordinary properties of frequency doubling nonlinear optical reflectivity and pulse shaping through phase matching of ordinary and backward electromagnetic waves in the nanowaveguides with mixed negative/positive spatial dispersion is demonstrated with numerical simulations.
Analysis of Pollutant and Tracer Dispersion During a Prescribed Forest Burn
Collins, Gary S.
Analysis of Pollutant and Tracer Dispersion During a Prescribed Forest Burn Y. Wu1, G. Allwine1, X the potential for catastrophic wildfires and to improve the health of forests, however, emissions of pollutants from prescribed fires contribute to local and regional air quality issues and health impacts. Emissions
Danko, G.; Birkholzer, J.T.; Bahrami, D.; Halecky, N.
2009-10-01
A coupled thermal-hydrologic-airflow model is developed, solving for the transport processes within a waste emplacement drift and the surrounding rockmass together at the proposed nuclear waste repository at Yucca Mountain. Natural, convective air flow as well as heat and mass transport in a representative emplacement drift during post-closure are explicitly simulated, using the MULTIFLUX model. The conjugate, thermal-hydrologic transport processes in the rockmass are solved with the TOUGH2 porous-media simulator in a coupled way to the in-drift processes. The new simulation results show that large-eddy turbulent flow, as opposed to small-eddy flow, dominate the drift air space for at least 5000 years following waste emplacement. The size of the largest, longitudinal eddy is equal to half of the drift length, providing a strong axial heat and moisture transport mechanism from the hot to the cold drift sections. The in-drift results are compared to those from simplified models using a surrogate, dispersive model with an equivalent dispersion coefficient for heat and moisture transport. Results from the explicit, convective velocity simulation model provide higher axial heat and moisture fluxes than those estimated from the previously published, simpler, equivalent-dispersion models, in addition to showing differences in temperature, humidity and condensation rate distributions along the drift length. A new dispersive model is also formulated, giving a time- and location-variable function that runs generally about ten times higher in value than the highest dispersion coefficient currently used in the Yucca Mountain Project as an estimate for the equivalent dispersion coefficient in the emplacement drift. The new dispersion coefficient variation, back-calculated from the convective model, can adequately describe the heat and mass transport processes in the emplacement drift example.
ALTERNATIVES OF MACCS2 IN LANL DISPERSION ANALYSIS FOR ONSITE AND OFFSITE DOSES
Wang, John HC [Los Alamos National Laboratory
2012-05-01
In modeling atmospheric dispersion to determine accidental release of radiological material, one of the common statistical analysis tools used at Los Alamos National Laboratory (LANL) is MELCOR Accident Consequence Code System, Version 2 (MACCS2). MACCS2, however, has some limitations and shortfalls for both onsite and offsite applications. Alternative computer codes, which could provide more realistic calculations, are being investigated for use at LANL. In the Yucca Mountain Project (YMP), the suitability of MACCS2 for the calculation of onsite worker doses was a concern; therefore, ARCON96 was chosen to replace MACCS2. YMP's use of ARCON96 provided results which clearly demonstrated the program's merit for onsite worker safety analyses in a wide range of complex configurations and scenarios. For offsite public exposures, the conservatism of MACCS2 on the treatment of turbulence phenomena at LANL is examined in this paper. The results show a factor of at least two conservatism in calculated public doses. The new EPA air quality model, AERMOD, which implements advanced meteorological turbulence calculations, is a good candidate for LANL applications to provide more confidence in the accuracy of offsite public dose projections.
Analysis in temporal regime of dispersive invisible structures designed from transformation optics
Gralak, B; Avril, B; Diatta, A; Guenneau, S
2016-01-01
A simple invisible structure made of two anisotropic layers is analyzed theoretically in temporal regime. The frequency dispersion is introduced and analytic expression of the transient part of the field is derived for large times when the structure is illuminated by a causal excitation. This expression shows that the limiting amplitude principle applies with transient fields decaying as the power -3/4 of the time. The quality of the cloak is then reduced at short times and remains preserved at large times. The one-dimensional theoretical analysis is supplemented with full-wave numerical simulations in two-dimensional situations which confirm the effect of dispersion.
A Dispersion Model for the Hepatic Uptake and Elimination of 2,3,7,8Tetrachlorodibenzopdioxin,3,7,8tetrachlorodibenzopdioxin (TCDD) in the liver is presented. The model is adapted from the general dispersion model,3,7,8tetrachloro dibenzopdioxin (TCDD), liver transport models, nonlinear partial differential equations, delay
Far-field dispersal modeling for fuel-air-explosive devices
Glass, M.W.
1990-05-01
A computer model for simulating the explosive dispersal of a fuel agent in the far-field regime is described and is applied to a wide variety of initial conditions to judge their effect upon the resulting fuel/air cloud. This work was directed toward modeling the dispersal process associated with Fuel-Air-Explosives devices. The far-field dispersal regime is taken to be that time after the initial burster charge detonation in which the shock forces no longer dominate the flow field and initial canister and fuel mass breakup has occurred. The model was applied to a low vapor pressure fuel, a high vapor pressure fuel and a solid fuel. A strong dependence of the final cloud characteristics upon the initial droplet size distribution was demonstrated. The predicted fuel-air clouds were highly non-uniform in concentration. 18 refs., 86 figs., 4 tabs.
Blood-Forsythe, Martin A; DiStasio, Robert A; Car, Roberto; Aspuru-Guzik, Alán
2015-01-01
Accurate treatment of the long-range electron correlation energy, including van der Waals (vdW) or dispersion interactions, is essential for describing the structure, dynamics, and function of a wide variety of systems. Among the most accurate models for including dispersion into density functional theory (DFT) is the range-separated many-body dispersion (MBD) method [A. Ambrossetti et al., J. Chem. Phys. 140, 18A508 (2014)], in which the correlation energy is modeled at short-range by a semi-local density functional and at long-range by a model system of coupled quantum harmonic oscillators. In this work, we develop analytical gradients of the MBD energy with respect to nuclear coordinates, including all implicit coordinate dependencies arising from the partitioning of the charge density into Hirshfeld effective volumes. To demonstrate the efficiency and accuracy of these MBD gradients for geometry optimizations of systems with intermolecular and intramolecular interactions, we optimized conformers of the be...
Chow, Fotini K.
2009-01-01
Modeling the effects of topography and wind on atmosphericof dispersion in idealized topographies shows that CO 2 canSimulation of a variety of topographies, winds, and release
Zettlemoyer, M.D.
1990-01-01
The Air Force Toxic Chemical Dispersion (AFTOX) model is a Gaussian puff dispersion model that predicts plumes, concentrations, and hazard distances of toxic chemical spills. A measurement uncertainty propagation formula derived by Freeman et al. (1986) is used within AFTOX to estimate resulting concentration uncertainties due to the effects of data input uncertainties in wind speed, spill height, emission rate, and the horizontal and vertical Gaussian dispersion parameters, and the results are compared to true uncertainties as estimated by standard deviations computed by Monte Carlo simulations. The measurement uncertainty uncertainty propagation formula was found to overestimate measurement uncertainty in AFTOX-calculated concentrations by at least 350 percent, with overestimates worsening with increasing stability and/or increasing measurement uncertainty.
Identification of parameters in building concentration dispersion model
Calogine, D; Ndoumbe, S; Rivière, C; Miranville, F
2012-01-01
The aim of this work is to simulate the pollutants transport in buildings. Focusing mainly on the presence of CO2, firstly we resolve the airflow equations for two typical validation cases, the Rao case and the IEA case. These numerical results are compared to the most known software and they are used to evaluate of the evolution of CO2 concentration in the different rooms. In order to obtain the different parameters and filters of the proposed model we use a statistical method based on Bayesian inference. The final comparison of results is coherent but a complementary experimental procedure is necessary to calibrate and refine the model
Papin, Pallas A.
2012-06-01
Uranium-niobium alloys play an important role in the nation's nuclear stockpile. It is possible to chemically quantify this alloy at a micron scale by using a technique know as wavelength dispersive spectroscopy. This report documents how this technique was used and how it is possible to reproduce measurements of this type. Discussion regarding the accuracy and precision of the measurements, the development of standards, and the comparison of different ways to model the matrices are all presented.
Small-scale methane dispersion modelling for possible plume sources on the surface of Mars
Strong, Kimberly
Small-scale methane dispersion modelling for possible plume sources on the surface of Mars K. S 2012; published 11 October 2012. [1] Intense interest in the characteristics of a methane source Laboratory and future landers and orbiters will be tasked with understanding the sources of methane
FPGA Based Real-time Network Traffic Analysis using Traffic Dispersion Patterns
Khan, F; Gokhale, M; Chuah, C N
2010-03-26
The problem of Network Traffic Classification (NTC) has attracted significant amount of interest in the research community, offering a wide range of solutions at various levels. The core challenge is in addressing high amounts of traffic diversity found in today's networks. The problem becomes more challenging if a quick detection is required as in the case of identifying malicious network behavior or new applications like peer-to-peer traffic that have potential to quickly throttle the network bandwidth or cause significant damage. Recently, Traffic Dispersion Graphs (TDGs) have been introduced as a viable candidate for NTC. The TDGs work by forming a network wide communication graphs that embed characteristic patterns of underlying network applications. However, these patterns need to be quickly evaluated for mounting real-time response against them. This paper addresses these concerns and presents a novel solution for real-time analysis of Traffic Dispersion Metrics (TDMs) in the TDGs. We evaluate the dispersion metrics of interest and present a dedicated solution on an FPGA for their analysis. We also present analytical measures and empirically evaluate operating effectiveness of our design. The mapped design on Virtex-5 device can process 7.4 million packets/second for a TDG comprising of 10k flows at very high accuracies of over 96%.
FIREPLUME model for plume dispersion from fires: Application to uranium hexafluoride cylinder fires
Brown, D.F.; Dunn, W.E. [Univ. of Illinois, Champaign-Urbana, IL (United States). Dept. of Mechanical Engineering; Policastro, A.J.; Maloney, D. [Argonne National Lab., IL (United States)
1997-06-01
This report provides basic documentation of the FIREPLUME model and discusses its application to the prediction of health impacts resulting from releases of uranium hexafluoride (UF{sub 6}) in fires. The model application outlined in this report was conducted for the Draft Programmatic Environmental Impact Statement for Alternative Strategies for the Long-Term Management and Use of Depleted UF{sub 6}. The FIREPLUME model is an advanced stochastic model for atmospheric plume dispersion that predicts the downwind consequences of a release of toxic materials from an explosion or a fire. The model is based on the nonbuoyant atmospheric dispersion model MCLDM (Monte Carlo Lagrangian Dispersion Model), which has been shown to be consistent with available laboratory and field data. The inclusion of buoyancy and the addition of a postprocessor to evaluate time-varying concentrations lead to the current model. The FIREPLUME model, as applied to fire-related UF{sub 6} cylinder releases, accounts for three phases of release and dispersion. The first phase of release involves the hydraulic rupture of the cylinder due to heating of the UF{sub 6} in the fire. The second phase involves the emission of material into the burning fire, and the third phase involves the emission of material after the fire has died during the cool-down period. The model predicts the downwind concentration of the material as a function of time at any point downwind at or above the ground. All together, five fire-related release scenarios are examined in this report. For each scenario, downwind concentrations of the UF{sub 6} reaction products, uranyl fluoride and hydrogen fluoride, are provided for two meteorological conditions: (1) D stability with a 4-m/s wind speed, and (2) F stability with a 1-m/s wind speed.
Palo, P.A.; Meggitt, D.J.; Nordell, W.J.
1983-05-01
This paper presents a summary of the development and validation of undersea cable dynamics computer models by the Naval Civil Engineering Laboratory (NCEL) under the sponsorship of the Naval Facilities Engineering Command. These models allow for the analysis of both small displacement (strumming) and large displacement (static and dynamic) deformations of arbitrarily configured cable structures. All of the large displacement models described in this paper are available to the public. This paper does not emphasize the theoretical development of the models (this information is available in other references) but emphasizes the various features of the models, the comparisons between model output and experimental data, and applications for which the models have been used.
A Nano-Quantum Photonic Model for Justification of Dispersion in Single Crystal Film of NPP
Hassan Kaatuzian; AliAkbar Wahedy Zarch
2006-11-28
In this paper, we present a nano-quantum photonic model for justification of normal dispersion in a thin crystal film of NPP. In this method, we assume a laser beam consists of a flow of energetic particles. By precise analyzing of photon interaction with pi-electron system of benzene ring in NPP crystal, we will attain refractive index (RI) in any wavelength and compare the results with experimental data.
Backstrom, Lars
2013-01-01
A crucial task in the analysis of on-line social-networking systems is to identify important people --- those linked by strong social ties --- within an individual's network neighborhood. Here we investigate this question for a particular category of strong ties, those involving spouses or romantic partners. We organize our analysis around a basic question: given all the connections among a person's friends, can you recognize his or her romantic partner from the network structure alone? Using data from a large sample of Facebook users, we find that this task can be accomplished with high accuracy, but doing so requires the development of a new measure of tie strength that we term `dispersion' --- the extent to which two people's mutual friends are not themselves well-connected. The results offer methods for identifying types of structurally significant people in on-line applications, and suggest a potential expansion of existing theories of tie strength.
Burkes, Douglas; Casella, Andrew M.; Huber, Tanja K.
2015-01-01
The Global Threat Reduction Initiative Program continues to develop existing and new plate- and rod-type research and test reactor fuels with maximum attainable uranium loadings capable of potentially converting a number of the world’s remaining high-enriched uranium fueled reactors to low-enriched uranium fuel. Currently, the program is focused on assisting with the development and qualification of an even higher density fuel type consisting of a uranium-molybdenum (U-Mo) alloy dispersed in an aluminum matrix. Thermal conductivity is an important consideration in determining the operational temperature of the fuel plate and can be influenced by interaction layer formation between the fuel and matrix, porosity that forms during fabrication of the fuel plates, and upon the concentration of the dispersed phase within the matrix. This paper develops and validates a simple model to study the influence of interaction layer formation and conductivity, fuel particle size, and volume fraction of fuel dispersed in the matrix on the effective conductivity of the composite. The model shows excellent agreement with results previously presented in the literature. In particular, the thermal conductivity of the interaction layer does not appear to be important in determining the overall conductivity of the composite, while formation of the interaction layer and subsequent consumption of the matrix reveals a rather significant effect. The effective thermal conductivity of the composite can be influenced by the fuel particle distribution by minimizing interaction layer formation and preserving the higher thermal conductivity matrix.
Gross, George
IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 19, NO. 1, MARCH 2004 151 Production Cost Analysis the appli- cability and production cost analysis of dispersed generation (DG) resources in a transmission movement, public protest against the construction of additional transmission facilities, and the resulting
C. RATTI; ET AL
2001-03-01
Models to estimate pollution dispersion and wind flow in cities (both at the city-scale and above) require a parametrical description of the urban canopy. For instance, two key parameters are the aerodynamic roughness length z{sub 0} and the zero-plane displacement height z{sub d}, which are related, amongst others, to the surface drag coefficient, the scale and intensity of turbulence, the depth of the roughness sub-layer and the wind speed profile. The calculation of z{sub 0} and z{sub d}, however, is not straightforward. The classical way to estimate them in open terrain is based on the measurement of wind profile data from a tall mast or, less accurately, on the inference from published roughness values for similar terrain elsewhere (Davenport, 1960; Davenport et al., 2000). Both methods, however, are very difficult to apply to cities, due to the considerable height where wind measurements should be taken (well above the urban canopy) and to the irregularities of urban texture. A promising alternative that has become available in recent years, due to increasing computing resources and the availability of high-resolution 3-D databases in urban areas, is based on the calculation of z{sub 0} and z{sub d} from the analysis and measure of the city geometry (urban morphometry). This method is reviewed for instance in Grimmond and Oke (1999), where values are calculated using different formulas and then compared with the results of field measurements. Urban morphometry opens up a new range of parameters that can easily be calculated in urban areas and used as input for meso-scale and urban dispersion models. This paper reviews a number of them and shows how they could be calculated from urban Digital Elevation Models (DEM) using image-processing techniques. It builds up on the recent work by Ratti et al. 2000, extending the number of case studies cities: London, Toulouse, Berlin, Salt Lake City and Los Angeles.
Hodgin, C.R.
1991-11-06
This document contains copies of the vugraphs used by C. R. Hodgin for the November 6, 1991 presentation summarizing the process to be used for evaluation of the Emergency Response Dispersion Model. (MHB)
Disordered locality and Lorentz dispersion relations: an explicit model of quantum foam
Francesco Caravelli; Fotini Markopoulou
2012-07-04
Using the framework of Quantum Graphity, we construct an explicit model of a quantum foam, a quantum spacetime with spatial non-local links. The states depend on two parameters: the minimal size of the link and their density with respect to this length. Macroscopic Lorentz invariance requires that the quantum superposition of spacetimes is suppressed by the length of these non-local links. We parametrize this suppression by the distribution of non-local links lengths in the quantum foam. We discuss the general case and then analyze two specific natural distributions. Corrections to the Lorentz dispersion relations are calculated using techniques developed in previous work.
Nielson, K. K.; Sanders, R. W.
1982-04-01
SAP3 is a dual-function FORTRAN computer program which performs peak analysis of energy-dispersive x-ray fluorescence spectra and then quantitatively interprets the results of the multielement analysis. It was written for mono- or bi-chromatic excitation as from an isotopic or secondary excitation source, and uses the separate incoherent and coherent backscatter intensities to define the bulk sample matrix composition. This composition is used in performing fundamental-parameter matrix corrections for self-absorption, enhancement, and particle-size effects, obviating the need for specific calibrations for a given sample matrix. The generalized calibration is based on a set of thin-film sensitivities, which are stored in a library disk file and used for all sample matrices and thicknesses. Peak overlap factors are also determined from the thin-film standards, and are stored in the library for calculating peak overlap corrections. A detailed description is given of the algorithms and program logic, and the program listing and flow charts are also provided. An auxiliary program, SPCAL, is also given for use in calibrating the backscatter intensities. SAP3 provides numerous analysis options via seventeen control switches which give flexibility in performing the calculations best suited to the sample and the user needs. User input may be limited to the name of the library, the analysis livetime, and the spectrum filename and location. Output includes all peak analysis information, matrix correction factors, and element concentrations, uncertainties and detection limits. Twenty-four elements are typically determined from a 1024-channel spectrum in one-to-two minutes using a PDP-11/34 computer operating under RSX-11M.
Platfoot, J.H.; Wendel, M.W.; Williams, P.T.
1996-10-01
This report describes the simulation of the dispersion and dilution of dissolved or finely suspended contaminants entering the Clinch river from White Oak Creek. The work is accomplished through the application of a commercial computational fluid dynamics (CFD) solver. This study assumes that contaminants originating in the White Oak Creed watershed, which drains Oak Ridge National Laboratory, will eventually reach the mouth of White Oak Creek and be discharged into the clinch River. The numerical model was developed to support the analysis of the off-site consequences of releases from the ORNL liquid low-level waste system. The system contains storage tanks and transfer lines in Bethel Valley and Melton Valley. Under certain failure modes, liquid low-level waste could be released to White Oak Creek or Melton Branch to White Oak Creek and eventually be discharged to the Clinch River. Since the Clinch River has unrestricted access by the public and water usage from the Clinch River is not controlled by the Department of Energy, such a liquid low-level waste spill would create the possibility of public exposure to the contaminant. This study is limited to the dispersion of the contaminants downstream of the confluence of White Oak Creek.
Stølen, Ketil
1 123 Model-Driven Risk Analysis The CORAS Approach | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | >springer.com ISBN 978-3-642-12322-1 Model-DrivenRiskAnalysis Mass Soldal Lund Bjørnar Solhaug Ketil Stølen Lund·Solhaug Stølen Lund · Solhaug · Stølen Model-Driven Risk Analysis The term"risk"is known from many
Lee, S.
2011-05-05
The Savannah River Remediation (SRR) Organization requested that Savannah River National Laboratory (SRNL) develop a Computational Fluid Dynamics (CFD) method to mix and blend the miscible contents of the blend tanks to ensure the contents are properly blended before they are transferred from the blend tank; such as, Tank 50H, to the Salt Waste Processing Facility (SWPF) feed tank. The work described here consists of two modeling areas. They are the mixing modeling analysis during miscible liquid blending operation, and the flow pattern analysis during transfer operation of the blended liquid. The transient CFD governing equations consisting of three momentum equations, one mass balance, two turbulence transport equations for kinetic energy and dissipation rate, and one species transport were solved by an iterative technique until the species concentrations of tank fluid were in equilibrium. The steady-state flow solutions for the entire tank fluid were used for flow pattern analysis, for velocity scaling analysis, and the initial conditions for transient blending calculations. A series of the modeling calculations were performed to estimate the blending times for various jet flow conditions, and to investigate the impact of the cooling coils on the blending time of the tank contents. The modeling results were benchmarked against the pilot scale test results. All of the flow and mixing models were performed with the nozzles installed at the mid-elevation, and parallel to the tank wall. From the CFD modeling calculations, the main results are summarized as follows: (1) The benchmark analyses for the CFD flow velocity and blending models demonstrate their consistency with Engineering Development Laboratory (EDL) and literature test results in terms of local velocity measurements and experimental observations. Thus, an application of the established criterion to SRS full scale tank will provide a better, physically-based estimate of the required mixing time, and elevation of transfer pump for minimum sludge disturbance. (2) An empirical equation for a tank with no cooling coils agrees reasonably with the current modeling results for the dual jet. (3) From the sensitivity study of the cooling coils, it was found that the tank mixing time for the coiled tank was about two times longer than that of the tank fluid with no coils under the 1/10th scale, while the coiled tank required only 50% longer than the one without coils under the full scale Tank 50H. In addition, the time difference is reduced when the pumping U{sub o}d{sub o} value is increased for a given tank. (4) The blending time for T-shape dual jet pump is about 20% longer than that of 15{sup o} upward V-shape pump under the 1/10th pilot-scale tank, while the time difference between the two pumps is about 12% for the full-scale Tank 50H. These results are consistent with the literature information. (5) A transfer pump with a solid-plate suction screen operating at 130 gpm can be located 9.5 inches above settled sludge for 2 in screen height in a 85 ft waste tank without disturbing any sludge. Detailed results are summarized in Table 13. Final pump performance calculations were made by using the established CW pump design, and operating conditions to satisfy the two requirements of minimum sludge disturbance, and adequate blending of tank contents. The final calculation results show that the blending times for the coiled and uncoiled tanks coupled with the CW pump design are 159 and 83 minutes, respectively. All the results are provided in Table 16.
Dispersant solutions for dispersing hydrocarbons
Tyndall, R.L.
1997-03-11
A dispersant solution includes a hydrocarbon dispersing solution derived from a bacterium from ATCC 75527, ATCC 75529, or ATCC 55638.
Dispersant solutions for dispersing hydrocarbons
Tyndall, Richard L. (Clinton, TN)
1997-01-01
A dispersant solution includes a hydrocarbon dispersing solution derived from a bacterium from ATCC 75527, ATCC 75529, or ATCC 55638.
Air Dispersion Modeling of Mine Waste in the Southeast Missouri Old Lead Belt
Abbott, Michael Lehman
1999-10-01
Past lead ore processing conducted in the Southeast Missouri Old Lead Belt since the 1700s has left numerous large areas of lead contamination in elevated piles of fine gravel waste called “chat” and dried-out tailings ponds. Wind suspension and atmospheric dispersion are known to transport these materials to the surrounding communities where the lead could pose a human health threat through inhalation or ingestion of the deposited contamination. The purpose of this study was to estimate potential wind suspension rates, perform dispersion modeling of the tailings and chat sources, and determine ground surface deposition rates and potential soil concentrations of lead in the surrounding areas. The results can be used to prioritize soil sampling locations, site air monitors, help identify the source of soil lead contamination, and to help develop remediation plans. Numerous, large complex sources in the region were parameterized into 33 area sources with the aid of digital aerial photos, digitized typographic maps, Geographic Information Systems (GIS) software, and site inspections. An AP-42 particulate emission model was used to estimate lower- and upper-bound hourly emission rates using six years of hourly wind speed data obtained from the St. Louis Airport. The emissions model accounted for wind speed, precipitation, source-specific aggregate size, fraction of vegetation cover, and site-specific lead concentrations. An alternative simplified method to calculate emissions from elevated chat piles was developed. The Fugitive Dust Model (FDM) was then used to calculate long-term average and maximum 24-hour deposition rates of lead over a 200 km2 region. Soil concentrations were estimated from modeled deposition rates, time of deposition (80 y) and an assumed surface (0-5.08 cm) mixing depth. Model performance was evaluated by comparing lower- and upper- bound modeled predictions to both air and soil sampling data obtained at two sites. The predicted-to-observed (P/O) ratios calculated using the geometric mean of the lower- and upper-bound modeled concentrations ranged from a low of 0.84 at 300 m to a high of 1.4 at 1800 m, with an average of 1.1. The P/O ratios tended to increase slightly at distances beyond about 1 km. These P/O ratios demonstrate exceptional model performance for the particular sampling transect (location and direction) investigated.
On linear stability and dispersion for crystals in the Schroedinger-Poisson model
Alexander Komech; Elena Kopylova
2015-08-22
We consider the Schr\\"odinger-Poisson-Newton equations as a model of crystals. Our basic results are the stability and the dispersion decay for the linearized dynamics at the ground state for crystals with a cubic lattice and one ion per cell. This linearization is a Hamilton system with nonselfadjoint (and even nonsymmetric) generator. We diagonalize this Hamilton generator in the Bloch representation using our theory of spectral resolution of the Hamilton ope\\-rators with positive definite energy \\ci{KK2014a,KK2014b}. Using this spectral resolution, we establish the stability the dispersion decay. Our key result is the energy positivity of the Bloch generators for small elementary charge $e>0$ under a novel Wiener-type condition on the ion charge density. The corresponding examples are given. To prove the positivity we construct the asymptotics of the ground state as $e\\to 0$ and show that the minimal zero eigenvalue, corresponding to $e=0$, bifurcates into positive eigenvalues $\\sim e^2$.
Apte, Sourabh V.
2007 Modeling Volumetric Coupling of the Dispersed Phase using the Eulerian-Lagrangian Approach Ehsan the flow due to dispersed phase and is termed as volumetric coupling. The size of the dispersed phase regions. The volumetric coupling approach is first validated with analytical studies for flow induced
HGSYSTEMUF6. Model for Simulating Dispersion due to Atmospheric Release of UF6
Hanna, G; Chang, J.C.; Zhang, J.X.; Bloom, S.G.; Goode, W.D. Jr; Lombardi, D.A.; Yambert, M.W.
1998-08-01
HGSYSTEMUF6 is a suite of models designed for use in estimating consequences associated with accidental, atmospheric release of Uranium Hexafluoride (UF6) and its reaction products, namely Hydrogen Fluoride (HF), and other non-reactive contaminants which are either negatively, neutrally, or positively buoyant. It is based on HGSYSTEM Version 3.0 of Shell Research LTD., and contains specific algorithms for the treatment of UF6 chemistry and thermodynamics. HGSYSTEMUF6 contains algorithms for the treatment of dense gases, dry and wet deposition, effects due to the presence of buildings (canyon and wake), plume lift-off, and the effects of complex terrain. The models components of the suite include (1) AEROPLUME/RK, used to model near-field dispersion from pressurized two-phase jet releases of UF6 and its reaction products, (2) HEGADAS/UF6 for simulating dense, ground based release of UF6, (3) PGPLUME for simulation of passive, neutrally buoyant plumes (4) UF6Mixer for modeling warm, potentially reactive, ground-level releases of UF6 from buildings, and (5) WAKE, used to model elevated and ground-level releases into building wake cavities of non-reactive plumes that are either neutrally or positively buoyant.
Bearon, Rachel
mask Biomicrofluidics 5, 022204 (2011) Analytical solution on Magnus wind turbine power performanceBiased swimming cells do not disperse in pipes as tracers: A population model based on microscale: A population model based on microscale behaviour R. N. Bearon,1,a) M. A. Bees,2 and O. A. Croze3 1 Department
Rose, William I.
A multidisciplinary effort to assign realistic source parameters to models of volcanic ash: volcanic eruption aircraft volcanic plumes ash clouds During volcanic eruptions, volcanic ash transport and dispersion models (VATDs) are used to forecast the location and movement of ash clouds over hours to days
Dali, Sarabjyot Singh
2009-06-02
with Yukawa potential were computed by Monte Carlo (MC) simulations and numerical solution of the coupled Ornstein Zernike equations. In monodisperse dispersions of particle diameter 144 nm the isotropic scattering coefficient versus ionic strength show...
12.141 Electron Microprobe Analysis by Wavelength Dispersive X-ray Spectrometry, January (IAP) 2006
Chatterjee, Nilanjan
Introduction to the theory of x-ray microanalysis through the electron microprobe including ZAF matrix corrections. Techniques to be discussed are wavelength and energy dispersive spectrometry, scanning backscattered ...
Lattice vibrations in the Frenkel-Kontorova model. I. Phonon dispersion, number density, and energy
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Meng, Qingping; Wu, Lijun; Welch, David O.; Zhu, Yimei
2015-06-17
We studied the lattice vibrations of two inter-penetrating atomic sublattices via the Frenkel-Kontorova (FK) model of a linear chain of harmonically interacting atoms subjected to an on-site potential, using the technique of thermodynamic Green's functions based on quantum field-theoretical methods. General expressions were deduced for the phonon frequency-wave-vector dispersion relations, number density, and energy of the FK model system. In addition, as the application of the theory, we investigated in detail cases of linear chains with various periods of the on-site potential of the FK model. Some unusual but interesting features for different amplitudes of the on-site potential of themore »FK model are discussed. In the commensurate structure, the phonon spectrum always starts at a finite frequency, and the gaps of the spectrum are true ones with a zero density of modes. In the incommensurate structure, the phonon spectrum starts from zero frequency, but at a non-zero wave vector; there are some modes inside these gap regions, but their density is very low. In our approximation, the energy of a higher-order commensurate state of the one-dimensional system at a finite temperature may become indefinitely close to the energy of an incommensurate state. This finding implies that the higher-order incommensurate-commensurate transitions are continuous ones and that the phase transition may exhibit a “devil's staircase” behavior at a finite temperature.« less
Williams, W.R.
1985-03-01
Calculational methods and computer programs for the analysis of source terms for postulated releases of UF{sub 6} are presented. Required thermophysical properties of UF{sub 6}, HF, and H{sub 2}O are described in detail. UF{sub 6} reacts with moisture in the ambient environment to form HF and H{sub 2}O. The coexistence of HF and H{sub 2}O significantly alters their pure component properties, and HF vapor polymerizes. Transient compartment models for simulating UF{sub 6} releases inside gaseous diffusion plant feed and withdrawl buildings and cascade buildings are also described. The basic compartment model mass and energy balances are supported by simple heat transfer, ventilation system, and deposition models. A model that can simulate either a closed compartment or a steady-state ventilation system is also discussed. The transient compartment models provide input to an atmospheric dispersion model as output.
A CFD-based wind solver for a fast response transport and dispersion model
Gowardhan, Akshay A; Brown, Michael J; Pardyjak, Eric R; Senocak, Inanc
2010-01-01
In many cities, ambient air quality is deteriorating leading to concerns about the health of city inhabitants. In urban areas with narrow streets surrounded by clusters of tall buildings, called street canyons, air pollution from traffic emissions and other sources is difficult to disperse and may accumulate resulting in high pollutant concentrations. For various situations, including the evacuation of populated areas in the event of an accidental or deliberate release of chemical, biological and radiological agents, it is important that models should be developed that produce urban flow fields quickly. For these reasons it has become important to predict the flow field in urban street canyons. Various computational techniques have been used to calculate these flow fields, but these techniques are often computationally intensive. Most fast response models currently in use are at a disadvantage in these cases as they are unable to correlate highly heterogeneous urban structures with the diagnostic parameterizations on which they are based. In this paper, a fast and reasonably accurate computational fluid dynamics (CFD) technique that solves the Navier-Stokes equations for complex urban areas has been developed called QUIC-CFD (Q-CFD). This technique represents an intermediate balance between fast (on the order of minutes for a several block problem) and reasonably accurate solutions. The paper details the solution procedure and validates this model for various simple and complex urban geometries.
Ciolek, J.T. Jr.
1993-10-01
The Rocky Flats Plant, located approximately 26 km northwest of downtown Denver, Colorado, has developed an emergency response atmospheric dispersion model for complex terrain applications. Plant personnel would use the model, known as the Terrain-Responsive Atmospheric Code (TRAC) (Hodgin 1985) to project plume impacts and provide off-site protective action recommendations to the State of Colorado should a hazardous material release occur from the facility. The Colorado Department of Health (CDH) entered into an interagency agreement with the Rocky Flats Plant prime contractor, EG&G Rocky Flats, and the US Department of Energy to evaluate TRAC as an acceptable emergency response tool. After exhaustive research of similar evaluation processes from other emergency response and regulatory organizations, the interagency committee devised a formal acceptance process. The process contains an evaluation protocol (Hodgin and Smith 1992), descriptions of responsibilities, an identified experimental data set to use in the evaluation, and judgment criteria for model acceptance. The evaluation protocol is general enough to allow for different implementations. This paper explains one implementation, shows protocol results for a test case, and presents results of a comparison between versions of TRAC with different wind Field codes: a two dimensional mass consistent code called WINDS (Fosberg et al. 1976) that has been extended to three dimensions, and a fully 3 dimensional mass conserving code called NUATMOS (Ross and Smith 1987, Ross et al. 1988).
Hanna, S.R.; Chang, J.C.
1997-01-01
The HGSYSTEM/UF{sub 6} model was developed for use in preparing Safety Analysis Reports (SARs) by estimating the consequences of possible accidental releases of UF{sub 6} to the atmosphere at the gaseous diffusion plants (GDPs) located in Portsmouth, Ohio, and Paducah, Kentucky. Although the latter report carries a 1996 date, the work that is described was completed in late 1994. When that report was written, the primary release scenarios of interest were thought to be gas pipeline and liquid tank ruptures over open terrain away from the influence of buildings. However, upon further analysis of possible release scenarios, the developers of the SARs decided it was necessary to also consider accidental releases within buildings. Consequently, during the fall and winter of 1995-96, modules were added to HGSYSTEM/UF{sub 6} to account for flow and dispersion around buildings. The original HGSYSTEM/UF{sub 6} model also contained a preliminary method for accounting for the possible lift-off of ground-based buoyant plumes. An improved model and a new set of wind tunnel data for buoyant plumes trapped in building recirculation cavities have become available that appear to be useful for revising the lift-off algorithm and modifying it for use in recirculation cavities. This improved lift-off model has been incorporated in the updated modules for dispersion around buildings.
Hanna, Steven
Surface energy fluxes, at averaging times from 10 min to 1 h, are needed as inputs to most state-of-the-art dispersion models. The sensible heat flux is a major priority, because it is combined with the momentum flux to ...
Plume Rise and Dispersion of Emissions from Low Level Buoyant Sources in Urban Areas
Pournazeri, Sam
2012-01-01
fluid modeling of liquefied natural gas cloud dispersion -fluid modeling of liquefied natural gas cloud dispersion -
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Center (PV RTC), Photovoltaic Systems Evaluation Laboratory (PSEL), Renewable Energy, SMART Grid, Solar, Solar Newsletter, SunShot, Systems Analysis, Systems...
Innovative Corridors Initiative: Business Model Analysis
Shaheen, Susan; Lingham, Viginia; Finson, Rachel S.
2007-01-01
Wenger, Joyce. Business Models for Vehicle InfrastructureCorridors Initiative: Business Model Analysis Rachel S.Corridors Initiative: Business Model Analysis Task Order
Hunter, C.
2012-03-28
Several of the most common methods for estimating Pasquill-Gifford (PG) stability (turbulence) class were evaluated for use in modeling the radiological consequences of SRS accidental releases using the MELCOR Accident Consequence Code System, Ver. 2 (MACCS2). Evaluation criteria included: (1) the ability of the method to represent diffusion characteristics above a predominantly forested landscape at SRS, (2) suitability of the method to provide data consistent with the formulation of the MACCS2 model, and (3) the availability of onsite meteorological data to support implementation of the method The evaluation resulted in a recommendation that PG stability classification for regulatory applications at SRS should be based on measurements of the standard deviation of the vertical component of wind direction fluctuations, {sigma}{sub e}, collected from the 61-m level of the SRS meteorological towers, and processed in full accordance with EPA-454/R-99-005 (EPA, 2000). This approach provides a direct measurement that is fundamental to diffusion and captures explicitly the turbulence generated by both mechanical and buoyant forces over the characteristic surface (forested) of SRS. Furthermore, due to the potentially significant enhancement of horizontal fluctuations in wind direction from the occurrence of meander at night, the use of {sigma}{sub e} will ensure a reasonably conservative estimate of PG stability class for use in dispersion models that base diffusion calculations on a single value of PG stability class. Furthermore, meteorological data bases used as input for MACCS2 calculations should contain hourly data for five consecutive annual periods from the most recent 10 years.
Microscopic self-energy calculations and dispersive optical-model potentials
S. J. Waldecker; C. Barbieri; W. H. Dickhoff
2011-05-21
Nucleon self-energies for 40Ca, 48Ca, 60Ca isotopes are generated with the microscopic Faddeev-random-phase approximation (FRPA). These self-energies are compared with potentials from the dispersive optical model (DOM) that were obtained from fitting elastic-scattering and bound-state data for 40Ca and 48Ca. The \\textit{ab initio} FRPA is capable of explaining many features of the empirical DOM potentials including their nucleon asymmetry dependence. The comparison furthermore provides several suggestions to improve the functional form of the DOM potentials, including among others the exploration of parity and angular momentum dependence. The non-locality of the FRPA imaginary self-energy, illustrated by a substantial orbital angular momentum dependence, suggests that future DOM fits should consider this feature explicitly. The roles of the nucleon-nucleon tensor force and charge-exchange component in generating the asymmetry dependence of the FPRA self-energies are explored. The global features of the FRPA self-energies are not strongly dependent on the choice of realistic nucleon-nucleon interaction.
Scalar potential model of galaxy central mass and central velocity dispersion
John C. Hodge
2006-11-22
The galaxy central mass $M_\\mathrm{c}$ and central velocity dispersion $\\sigma_\\mathrm{c}$ have been found to correlate with large scale galaxy parameters for samples of galaxies with a limited range of characteristics. A scalar potential model (SPM) that derived from considerations of galaxy clusters, of redshift, of discrete redshift, of H{\\scriptsize{I}} rotation curves (RCs) of spiral galaxies and of RC asymmetry is applied to central region parameters. The $\\sigma_\\mathrm{c}$ and $ M_\\mathrm{c}$ are found to correlate to the host galaxy's and neighboring galaxy's B band luminosity. The sample included galaxies with rising, flat and declining RCs; galaxies with a wide range of characteristics; and galaxies excluded from samples of other studies of $\\sigma_\\mathrm{c}$ relationships. The equations have the same form as the SPM equations for the parameters of the H{\\scriptsize{I}} RCs. Because the SPM is consistent with $M_\\mathrm{c}$ and $\\sigma_\\mathrm{c}$ observations of the sample galaxies, the Sources and Sinks act as monopoles at the center of the galaxies around them. This suggests the outward scalar potential force of a Source holds the $M_\\mathrm{c}$ from collapse into a supermassive black hole.
An analysis of uranium dispersal and health effects using a Gulf War case study.
Marshall, Albert Christian
2005-07-01
The study described in this report used mathematical modeling to estimate health risks from exposure to depleted uranium (DU) during the 1991 Gulf War for both U.S. troops and nearby Iraqi civilians. The analysis found that the risks of DU-induced leukemia or birth defects are far too small to result in an observable increase in these health effects among exposed veterans or Iraqi civilians. Only a few veterans in vehicles accidentally struck by U.S. DU munitions are predicted to have inhaled sufficient quantities of DU particulate to incur any significant health risk (i.e., the possibility of temporary kidney damage from the chemical toxicity of uranium and about a 1% chance of fatal lung cancer). The health risk to all downwind civilians is predicted to be extremely small. Recommendations for monitoring are made for certain exposed groups. Although the study found fairly large calculational uncertainties, the models developed and used are generally valid. The analysis was also used to assess potential uranium health hazards for workers in the weapons complex. No illnesses are projected for uranium workers following standard guidelines; nonetheless, some research suggests that more conservative guidelines should be considered.
A model for P-wave attenuation and dispersion in a porous medium ...
lll
2005-09-05
with a liquid this material exhibits significant attenuation and velocity dispersion ... instances, natural fractures control the permeability of the reservoir, and hence the ...... anisotropic layered fluid- and gas-saturated sediments, Geophysics, 62,.
Model and laboratory study of dispersion in flows with submerged vegetation
Murphy, E.
Vegetation is ubiquitous in rivers, estuaries, and wetlands, strongly influencing water conveyance and mass transport. The plant canopy affects mean and turbulent flow structure, and thus both advection and dispersion. ...
Study of the Effects of Obstacles in Liquefied Natural Gas (LNG) Vapor Dispersion using CFD Modeling
Ruiz Vasquez, Roberto
2012-10-19
The evaluation of the potential hazards related with the operation of an LNG terminal includes possible release scenarios with the consequent flammable vapor dispersion within the facility; therefore, it is important to know the behavior...
Application of Computational Fluid Dynamics in the Forced Dispersion Modeling of LNG Vapor Clouds
Kim, Byung-Kyu
2013-05-31
The safety and security of liquefied natural gas (LNG) facilities has prompted the need for continued study of LNG mitigation systems. Water spray systems are widely recognized as an effective measure for dispersing LNG vapor clouds. Currently...
Structural Analysis of Combustion Models
Tóth, J; Zsély, I
2013-01-01
Using ReactionKinetics, a Mathematica based package a few dozen detailed models for combustion of hydrogen, carbon monoxide and methanol are investigated. Essential structural characteristics are pulled out, and similarities and differences of the mechanisms are highlighted. These investigations can be used before or parallel with usual numerical investigations, such as pathway analysis, sensitivity analysis, parameter estimation, or simulation.
Droppo, James G.; Napier, Bruce A.; Rishel, Jeremy P.; Bloom, Richard W.
2011-06-22
The current cleanup of structures related to cold-war production of nuclear materials includes the need to demolish a number of highly alpha-contaminated structures. The process of planning for the demolition of such structures includes unique challenges related to ensuring the protection of both workers and the public. Pre-demolition modeling analyses were conducted to evaluate potential exposures resulting from the proposed demolition of a number of these structures. Estimated emission rates of transuranic materials during demolition are used as input to an air-dispersion model. The climatological frequencies of occurrence of peak air and surface exposures at locations of interest are estimated based on years of hourly meteorological records. The modeling results indicate that downwind deposition is the main operational limitation for demolition of a highly alpha-contaminated building. The pre-demolition modeling directed the need for better contamination characterization and/or different demolition methods—and in the end, provided a basis for proceeding with the planned demolition activities. Post-demolition modeling was also conducted for several contaminated structures, based on the actual demolition schedule and conditions. Comparisons of modeled and monitoring results are shown. Recent monitoring data from the demolition of a UO3 plant shows increments in concentrations that were previously identified in the pre-demolition modeling predictions; these comparisons confirm the validity and value of the pre-demolition source-term and air dispersion computations for planning demolition activities for other buildings with high levels of radioactive contamination.
Wang, Yuqing
The three-dimensional (3D) Rossby wave energy dispersion of a tropical cyclone (TC) is studied using of the beta effect. A synoptic-scale wave train forms in its wake a few days later. The energy energy. Because of the vertical differential inertial stability, the upper-level wave train develops
Image Analysis Model-Based Methods
Wolfe, Patrick J.
Model-Based Methods Comparing and Evaluating Models Summary Further Reading Data Collection ScientificImage Analysis Model-Based Methods Comparing and Evaluating Models Summary Further Reading Fully Low-Count Image Analysis #12;Image Analysis Model-Based Methods Comparing and Evaluating Models
Sermeus, J.; Glorieux, C.; Sinha, R.; Vereecken, P. M.; Vanstreels, K.
2014-07-14
MnO{sub 2} is a material of interest in the development of high energy-density batteries, specifically as a coating material for internal 3D structures, thus ensuring rapid energy deployment. Its electrochemical properties have been mapped extensively, but there are, to the best of the authors' knowledge, no records of the elastic properties of thin film MnO{sub 2}. Impulsive stimulated thermal scattering (ISTS), also known as the heterodyne diffraction or transient grating technique, was used to determine the Young's modulus (E) and porosity (?) of a 500?nm thick MnO{sub 2} coating on a Si(001) substrate. ISTS is an all optical method that is able to excite and detect surface acoustic waves (SAWs) on opaque samples. From the measured SAW velocity dispersion, the Young's modulus and porosity were determined to be E?=?25?±?1?GPa and ?=42±1%, respectively. These values were confirmed by independent techniques and determined by a most-squares analysis of the carefully fitted SAW velocity dispersion. This study demonstrates the ability of the presented technique to determine the elastic parameters of a thin, porous film on an anisotropic substrate.
Climate Analysis, Monitoring, and Modeling
Climate Analysis, Monitoring, and Modeling Environmental Research Area PIER Environmental Research www.energy.ca.gov/research/ environmental August 2012 The Issue Climate change is a daunting challenge health. The energy sector will not be spared. The potential repercussions of climate change include
Xavier Busch
2014-11-06
The two main predictions of quantum field theory in curved space-time, namely Hawking radiation and cosmological pair production, have not been directly tested and involve ultra high energy configurations. As a consequence, they should be considered with caution. Using the analogy with condensed matter systems, their analogue versions could be tested in the lab. Moreover, the high energy behavior of these systems is known and involves dispersion and dissipation, which regulate the theory at short distances. When considering experiments which aim to test the above predictions, there will also be a competition between the stimulated emission from thermal noise and the spontaneous emission out of vacuum. In order to measure these effects, one should thus compute the consequences of UV dispersion and dissipation, and identify observables able to establish that the spontaneous emission took place. In this thesis, we first analyze the effects of dispersion and dissipation on both Hawking radiation and pair particle production. To get explicit results, we work in the context of de Sitter space. Using the extended symmetries of the theory in such a background, exact results are obtained. These are then transposed to the context of black holes using the correspondence between de Sitter space and the black hole near horizon region. To introduce dissipation, we consider an exactly solvable model producing any decay rate. We also study the quantum entanglement of the particles so produced. In a second part, we consider explicit condensed matter systems, namely Bose Einstein condensates and exciton-polariton systems. We analyze the effects of dissipation on entanglement produced by the dynamical Casimir effect. As a final step, we study the entanglement of Hawking radiation in the presence of dispersion for a generic analogue system.
DENSE MULTIPHASE FLOW SIMULATION: CONTINUUM MODEL FOR POLY-DISPERSED SYSTEMS USING KINETIC THEORY
Moses Bogere
2011-08-31
The overall objective of the project was to verify the applicability of the FCMOM approach to the kinetic equations describing the particle flow dynamics. For monodispersed systems the fundamental equation governing the particle flow dynamics is the Boltzmann equation. During the project, the FCMOM was successfully applied to several homogeneous and in-homogeneous problems in different flow regimes, demonstrating that the FCMOM has the potential to be used to solve efficiently the Boltzmann equation. However, some relevant issues still need to be resolved, i.e. the homogeneous cooling problem (inelastic particles cases) and the transition between different regimes. In this report, the results obtained in homogeneous conditions are discussed first. Then a discussion of the validation results for in-homogeneous conditions is provided. And finally, a discussion will be provided about the transition between different regimes. Alongside the work on development of FCMOM approach studies were undertaken in order to provide insights into anisotropy or particles kinetics in riser hydrodynamics. This report includes results of studies of multiphase flow with unequal granular temperatures and analysis of momentum re-distribution in risers due to particle-particle and fluid-particle interactions. The study of multiphase flow with unequal granular temperatures entailed both simulation and experimental studies of two particles sizes in a riser and, a brief discussion of what was accomplished will be provided. And finally, a discussion of the analysis done on momentum re-distribution of gas-particles flow in risers will be provided. In particular a discussion of the remaining work needed in order to improve accuracy and predictability of riser hydrodynamics based on two-fluid models and how they can be used to model segregation in risers.
12.141 Electron Microprobe Analysis by Wavelength Dispersive X-ray Spectrometry, January IAP 2010
Chatterjee, Nilanjan
2010-01-01
This lab-oriented course introduces the student to the subject of X-ray spectrometry and micro-scale chemical quantitative analysis of solid samples through an intensive series of hands-on laboratory exercises that use the ...
Biswajit Pandey; Somnath Bharadwaj
2005-01-19
The anisotropies in the galaxy two-point correlation function measured from redshift surveys exhibits deviations from the predictions of the linear theory of redshift space distortion on scales as large 20 Mpc/h where we expect linear theory to hold in real space. Any attempt at analyzing the anisotropies in the redshift correlation function and determining the linear distortion parameter \\beta requires these deviations to be correctly modeled and taken into account. These deviations are usually attributed to galaxy random motions and these are incorporated in the analysis through a phenomenological model where the linear redshift correlation is convolved with the random pairwise velocity distribution function along the line of sight. We show that a substantial part of the deviations arise from non-linear effects in the mapping from real to redshift space caused by the coherent flows. Models which incorporate this effect provide a better fit to N-body results as compared to the phenomenological model which has only the effect of random motions. We find that the pairwise velocity dispersion predicted by all the models that we have considered are in excess of the values determined directly from the N-body simulations. This indicates a shortcoming in our understanding of the statistical properties of peculiar velocities and their relation to redshift distortion.
Lee, S.
2011-05-17
The process of recovering the waste in storage tanks at the Savannah River Site (SRS) typically requires mixing the contents of the tank to ensure uniformity of the discharge stream. Mixing is accomplished with one to four dual-nozzle slurry pumps located within the tank liquid. For the work, a Tank 48 simulation model with a maximum of four slurry pumps in operation has been developed to estimate flow patterns for efficient solid mixing. The modeling calculations were performed by using two modeling approaches. One approach is a single-phase Computational Fluid Dynamics (CFD) model to evaluate the flow patterns and qualitative mixing behaviors for a range of different modeling conditions since the model was previously benchmarked against the test results. The other is a two-phase CFD model to estimate solid concentrations in a quantitative way by solving the Eulerian governing equations for the continuous fluid and discrete solid phases over the entire fluid domain of Tank 48. The two-phase results should be considered as the preliminary scoping calculations since the model was not validated against the test results yet. A series of sensitivity calculations for different numbers of pumps and operating conditions has been performed to provide operational guidance for solids suspension and mixing in the tank. In the analysis, the pump was assumed to be stationary. Major solid obstructions including the pump housing, the pump columns, and the 82 inch central support column were included. The steady state and three-dimensional analyses with a two-equation turbulence model were performed with FLUENT{trademark} for the single-phase approach and CFX for the two-phase approach. Recommended operational guidance was developed assuming that local fluid velocity can be used as a measure of sludge suspension and spatial mixing under single-phase tank model. For quantitative analysis, a two-phase fluid-solid model was developed for the same modeling conditions as the single-phase model. The modeling results show that the flow patterns driven by four pump operation satisfy the solid suspension requirement, and the average solid concentration at the plane of the transfer pump inlet is about 12% higher than the tank average concentrations for the 70 inch tank level and about the same as the tank average value for the 29 inch liquid level. When one of the four pumps is not operated, the flow patterns are satisfied with the minimum suspension velocity criterion. However, the solid concentration near the tank bottom is increased by about 30%, although the average solid concentrations near the transfer pump inlet have about the same value as the four-pump baseline results. The flow pattern results show that although the two-pump case satisfies the minimum velocity requirement to suspend the sludge particles, it provides the marginal mixing results for the heavier or larger insoluble materials such as MST and KTPB particles. The results demonstrated that when more than one jet are aiming at the same position of the mixing tank domain, inefficient flow patterns are provided due to the highly localized momentum dissipation, resulting in inactive suspension zone. Thus, after completion of the indexed solids suspension, pump rotations are recommended to avoid producing the nonuniform flow patterns. It is noted that when tank liquid level is reduced from the highest level of 70 inches to the minimum level of 29 inches for a given number of operating pumps, the solid mixing efficiency becomes better since the ratio of the pump power to the mixing volume becomes larger. These results are consistent with the literature results.
Analysis of Water Modeling of Air Entrainment
Beckermann, Christoph
Analysis of Water Modeling of Air Entrainment S.C. Jain Professor and Research Engineer Dept. Civil, C., "Analysis of Water Modeling of Air Entrainment," in Proceedings of the 48th SFSA Technical An analysis is reported of the water modeling experiments of Bates et al. (1994) to study air entrainment
Application of a one-dimensional dynamic model to estuarine dispersion problems
Benson, Clark Alan
1974-01-01
Criteria and Boundary Conditions Aspects of the Computer Model 28 34 39 IV. MODEL APPLICATION TO THE CORPUS CHRISTI HARBOR CHANNEL. . . . . . . . . . . . , ~ ~ . ~ 44 Description of the Physical and Chemical System Modeling Considerations Model... of pollutants into estuaries are oxygen depletion, odors, and coloration. 1'| Styl f th J 1 f ~Stt ~E1 t ~ASCE h been followed. Studies of estuarine systems have f'ound them to be a complex blend of physical, chemical, biological, and hydraulic factors...
Gas ejector modeling for design and analysis
Liao, Chaqing
2009-05-15
A generalized ejector model was successfully developed for gas ejector design and performance analysis. Previous 1-D analytical models can be derived from this new comprehensive model as particular cases. For the first ...
Environmental Pollution Air Pollution Dispersion Practical Air Pollution Dispersion
Moncrieff, John B.
Environmental Pollution Air Pollution Dispersion 1 of 5 Practical Air Pollution Dispersion in the lectures how such models can be used to explain observed concentrations of air pollutants in an area and to test `what-if' scenarios for pollution control and reduction. You will use the Gaussian Plume Model
Scapin, M; Peroni, M
2011-01-01
The main objective of this paper is getting strain-hardening, thermal and strain-rate parameters for a material model in order to correctly reproduce the deformation process that occurs in high strain-rate scenario, in which the material reaches also high levels of plastic deformation and temperature. In particular, in this work the numerical inverse method is applied to extract material strength parameters from experimental data obtained via mechanical tests at different strain-rates (from quasi-static loading to high strain-rate) and temperatures (between 20 C and 1000 C) for an alumina dispersion strengthened copper material, which commercial name is GLIDCOP. Thanks to its properties GLIDCOP finds several applications in particle accelerator technologies, where problems of thermal management, combined with structural requirements, play a key role. Currently, it is used for the construction of structural and functional parts of the particle beam collimation system. Since the extreme condition in which the m...
Burk, David Edward
2005-08-29
of the RDD debris. The objective of this research was to benchmark a forward model methodology for predicting isotopic composition of spent nuclear fuel used in an RDD while at the same time optimizing the fidelity of the model to reduce computational time...
Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel...
Broader source: Energy.gov (indexed) [DOE]
and individual summaries of the models and tools used for systems analysis of hydrogen and fuel cells. View the Overview Fact Sheet and Individual Summaries Overview Fact...
3D weak-dispersion reverse time migration using a stereo-modeling operator
Li, Jingshuang
Reliable 3D imaging is a required tool for developing models of complex geologic structures. Reverse time migration (RTM), as the most powerful depth imaging method, has become the preferred imaging tool because of its ...
Crediting Tritium Deposition in Accident Analysis
Murphy, C.E. Jr.
2001-06-20
This paper describes the major aspects of tritium dispersion phenomenology, summarizes deposition attributes of the computer models used in the DOE Complex for tritium dispersion, and recommends an approach to account for deposition in accident analysis.
Time delay for dispersive systems in quantum scattering theory. I. The Friedrichs model
Rafael Tiedra de Aldecoa
2008-04-08
We present a method for proving the existence of time delay (defined in terms of sojourn times) as well as its identity with Eisenbud-Wigner time delay in the case of the Friedrichs model. We show that this method applies to scattering by finite rank potentials.
VALDRIFT 1.0: A valley atmospheric dispersion model with deposition
Allwine, K.J.; Bian, X.; Whiteman, C.D.
1995-05-01
VALDRIFT version 1.0 is an atmospheric transport and diffusion model for use in well-defined mountain valleys. It is designed to determine the extent of ddft from aedal pesticide spraying activities, but can also be applied to estimate the transport and diffusion of various air pollutants in valleys. The model is phenomenological -- that is, the dominant meteorological processes goveming the behavior of the valley atmosphere are formulated explicitly in the model, albeit in a highly parameterized fashion. The key meteorological processes treated are: (1) nonsteady and nonhomogeneous along-valley winds and turbulent diffusivities, (2) convective boundary layer growth, (3) inversion descent, (4) noctumal temperature inversion breakup, and (5) subsidence. The model is applicable under relatively cloud-free, undisturbed synoptic conditions and is configured to operate through one diumal cycle for a single valley. The inputs required are the valley topographical characteristics, pesticide release rate as a function of time and space, along-valley wind speed as a function of time and space, temperature inversion characteristics at sunrise, and sensible heat flux as a function of time following sunrise. Default values are provided for certain inputs in the absence of detailed observations. The outputs are three-dimensional air concentration and ground-level deposition fields as a function of time.
Computational fluid dynamics for LNG vapor dispersion modeling: a key parameters study
Cormier, Benjamin Rodolphe
2009-05-15
The increased demand for liquefied natural gas (LNG) has led to the construction of several new LNG terminals in the United States (US) and around the world. To ensure the safety of the public, consequence modeling is used to estimate the exclusion...
Air Dispersion Modeling of Radioactive Releases During Proposed PFP Complex Demolition Activities
Napier, Bruce A.; Droppo, James G.; Rishel, Jeremy P.
2011-01-11
This report is part of the planning process for the demolition of the 234-5Z, 236-Z, 242-Z, and 291-Z-1 structures at the Plutonium Finishing Plant (PFP) on the Hanford Site. Pacific Northwest National Laboratory (PNNL) supports the U.S. Department of Energy (DOE) and the CH2M HILL Plateau Remediation Company (CHPRC) demolition planning effort by making engineering estimates of potential releases for various potential demolition alternatives. This report documents an analysis considering open-air demolition using standard techniques. It does not document any decisions about the decommissioning approaches; it is expected that this report will be revisited as the final details of the demolition are developed.
Modeling the Integrated Performance of Dispersion and Monolithic U-Mo Based Fuels
Daniel M. Wachs; Douglas E. Burkes; Steven L. Hayes; Karen Moore; Greg Miller; Gerard Hofman; Yeon Soo Kim
2006-10-01
The evaluation and prediction of integrated fuel performance is a critical component of the Reduced Enrichment for Research and Test Reactors (RERTR) program. The PLATE code is the primary tool being developed and used to perform these functions. The code is being modified to incorporate the most recent fuel/matrix interaction correlations as they become available for both aluminum and aluminum/silicon matrices. The code is also being adapted to treat cylindrical and square pin geometries to enhance the validation database by including the results gathered from various international partners. Additional modeling work has been initiated to evaluate the thermal and mechanical performance requirements unique to monolithic fuels during irradiation.
Application of Finite Mixture Models for Vehicle Crash Data Analysis
Park, Byung Jung
2010-07-14
Developing sound or reliable statistical models for analyzing vehicle crashes is very important in highway safety studies. A difficulty arises when crash data exhibit overdispersion. Over-dispersion caused by unobserved ...
Duputel, Zacharie
tractable on a common field computer, to constrain the 1D vertical profile of shear velocities, and static seismic corrections in shear-wave profiling e.g., Mari, 1984 . MASW is based on a frequency multimode dispersion data. Several methods have been de- veloped to isolate the different modes from seismic
Modeling Solar Activity Bayesian Analysis of Stellar Evolution
Wolfe, Patrick J.
Modeling Solar Activity Bayesian Analysis of Stellar Evolution Astrostatistical Analysis in Solar, David Astrostatistical Analysis in Solar and Stellar Physics #12;Modeling Solar Activity Bayesian Analysis of Stellar Evolution Outline 1 Modeling Solar Activity Background Morphological Feature Extraction
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Embry, Irucka; Roland, Victor; Agbaje, Oluropo; Watson, Valetta; Martin, Marquan; Painter, Roger; Byl, Tom; Sharpe, Lonnie
2013-01-01
A new residence-time distribution (RTD) function has been developed and applied to quantitative dye studies as an alternative to the traditional advection-dispersion equation (AdDE). The new method is based on a jointly combined four-parameter gamma probability density function (PDF). The gamma residence-time distribution (RTD) function and its first and second moments are derived from the individual two-parameter gamma distributions of randomly distributed variables, tracer travel distance, and linear velocity, which are based on their relationship with time. The gamma RTD function was used on a steady-state, nonideal system modeled as a plug-flow reactor (PFR) in the laboratory to validate themore »effectiveness of the model. The normalized forms of the gamma RTD and the advection-dispersion equation RTD were compared with the normalized tracer RTD. The normalized gamma RTD had a lower mean-absolute deviation (MAD) (0.16) than the normalized form of the advection-dispersion equation (0.26) when compared to the normalized tracer RTD. The gamma RTD function is tied back to the actual physical site due to its randomly distributed variables. The results validate using the gamma RTD as a suitable alternative to the advection-dispersion equation for quantitative tracer studies of non-ideal flow systems.« less
Office of Environmental Management (EM)
via curves - Pasquill curves (which are prairie grass 3 cm based) + Time Dependent Wind Speed, x & Stability Class as a function of (y, z) Input MACCs Output Wind data...
LeClair, Robert J.; Boileau, Michel M.; Wang Yinkun [Department of Physics and Astronomy, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario, P3E 2C6 (Canada) and Biomolecular Sciences Program, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario, P3E 2C6 (Canada); Department of Physics and Astronomy, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario, P3E 2C6 (Canada); Department of Physics and Astronomy, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario, P3E 2C6 (Canada)
2006-04-15
The goal of this work is to develop a technique to measure the x-ray diffraction signals of breast biopsy specimens. A biomedical x-ray diffraction technology capable of measuring such signals may prove to be of diagnostic use to the medical field. Energy dispersive x-ray diffraction measurements coupled with a semianalytical model were used to extract the differential linear scattering coefficients [{mu}{sub s}(x)] of breast tissues on absolute scales. The coefficients describe the probabilities of scatter events occurring per unit length of tissue per unit solid angle of detection. They are a function of the momentum transfer argument, x=sin({theta}/2)/{lambda}, where {theta}=scatter angle and {lambda}=incident wavelength. The technique was validated by using a 3 mm diameter 50 kV polychromatic x-ray beam incident on a 5 mm diameter 5 mm thick sample of water. Water was used because good x-ray diffraction data are available in the literature. The scatter profiles from 6 deg. to 15 deg. in increments of 1 deg. were measured with a 3 mmx3 mmx2 mm thick cadmium zinc telluride detector. A 2 mm diameter Pb aperture was placed on top of the detector. The target to detector distance was 29 cm and the duration of each measurement was 10 min. Ensemble averages of the results compare well with the gold standard data of A. H. Narten [''X-ray diffraction data on liquid water in the temperature range 4 deg. C-200 deg. C, ORNL Report No. 4578 (1970)]. An average 7.68% difference for which most of the discrepancies can be attributed to the background noise at low angles was obtained. The preliminary measurements of breast tissue are also encouraging.
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesa delAnalysisCapabilities
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
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Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesaAnalysis Permalink
Taitel, Y. (Tel-Aviv Univ., Israel); Bornea, D.; Dukler, A.E.
1980-05-01
Models for predicting flow patterns in steady upward gas-liquid flow in vertical tubes (such as production-well tubing) delineate the transition boundaries between each of the four basic flow patterns for gas-liquid flow in vertical tubes: bubble, slug, churn, and dispersed-annular. Model results suggest that churn flow is the development region for the slug pattern and that bubble flow can exist in small pipes only at high liquid rates, where turbulent dispersion forces are high. Each transition depends on the flow-rate pair, fluid properties, and pipe size, but the nature of the dependence is different for each transition because of differing control mechanisms. The theoretical predictions are in reasonably good agreement with a variety of published flow maps based on experimental data.
Mallet, Vivien
resolution modelling tools like Urban'Air well reproduce the spatial distribution of atmospheric pollutants OF THE SYSTEM The "Votre Air" project has been designed to monitor the atmospheric pollution over Paris center of pollutants concentrations computed by the air dispersion model are immediately corrected by the assimilation
Shear dispersion in dense granular flows
DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)
Christov, Ivan C.; Stone, Howard A.
2014-04-18
We formulate and solve a model problem of dispersion of dense granular materials in rapid shear flow down an incline. The effective dispersivity of the depth-averaged concentration of the dispersing powder is shown to vary as the Péclet number squared, as in classical Taylor–Aris dispersion of molecular solutes. An extension to generic shear profiles is presented, and possible applications to industrial and geological granular flows are noted.
Stochastic multiscale models for fracture analysis of functionally graded materials
Rahman, Sharif
Stochastic multiscale models for fracture analysis of functionally graded materials Arindam three multiscale models, including sequential, invasive, and concurrent models, for fracture analysis methods for fracture reliability analysis. The par- ticle volume fractions, defined by a generic
Mathematical Model Analysis for Hg Flow
McDonald, Kirk
Mathematical Model Analysis for Hg Flow Yan Zhan SUNYSB April 20th, 2010 #12;Outline · Introduction Mechanism of Jet Breakup & Atomization Dynamic Problems in Hg Target Flow · Mathematical Model for Hg Flow Parameters Incompressible Flow (No MHD) Incompressible Flow (MHD) Proton Beam Energy Conversion
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSampleLignin-Feasting MicrobeMesa
Combustion instability modeling and analysis
Santoro, R.J.; Yang, V.; Santavicca, D.A.; Sheppard, E.J.
1995-12-31
It is well known that the two key elements for achieving low emissions and high performance in a gas turbine combustor are to simultaneously establish (1) a lean combustion zone for maintaining low NO{sub x} emissions and (2) rapid mixing for good ignition and flame stability. However, these requirements, when coupled with the short combustor lengths used to limit the residence time for NO formation typical of advanced gas turbine combustors, can lead to problems regarding unburned hydrocarbons (UHC) and carbon monoxide (CO) emissions, as well as the occurrence of combustion instabilities. The concurrent development of suitable analytical and numerical models that are validated with experimental studies is important for achieving this objective. A major benefit of the present research will be to provide for the first time an experimentally verified model of emissions and performance of gas turbine combustors. The present study represents a coordinated effort between industry, government and academia to investigate gas turbine combustion dynamics. Specific study areas include development of advanced diagnostics, definition of controlling phenomena, advancement of analytical and numerical modeling capabilities, and assessment of the current status of our ability to apply these tools to practical gas turbine combustors. The present work involves four tasks which address, respectively, (1) the development of a fiber-optic probe for fuel-air ratio measurements, (2) the study of combustion instability using laser-based diagnostics in a high pressure, high temperature flow reactor, (3) the development of analytical and numerical modeling capabilities for describing combustion instability which will be validated against experimental data, and (4) the preparation of a literature survey and establishment of a data base on practical experience with combustion instability.
Analysis of RADTRAN transportation model
Resnikoff, M. [Radioactive Waste Management Associates, New York, NY (United States)
1990-10-01
This paper reviews the RADTRAN computer model, used to estimate the risks of transporting waste to a high-level repository. Ignoring high consequence accidents, human error, sabotage, realistic accident scenarios and recent health effects data leads to an underestimate of potential health effects. Potential economic costs following an accident in a rural area are low compared to a scale-up of the Palomares, Spain clean-up and other estimates. The author states that these costs can vary widely depending on the accident locale and whether certain direct and indirect costs are included.
Sandia Energy - Modeling & Analysis
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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid ActionModeling
Sandia Energy - Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &Water Power&Grid ActionModeling
Sandia Energy - Techno-Economic Modeling, Analysis, and Support
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Modeling, Analysis, and Support Home Stationary Power Energy Conversion Efficiency Wind Energy Special Programs Techno-Economic Modeling, Analysis, and Support Techno-Economic...
Grid Monitoring, Modeling, and Analysis | ornl.gov
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Grid Monitoring, Modeling, and Analysis SHARE Grid Monitoring, Modeling, and Analysis The electric power industry has undergone extensive changes over the past several decades and...
Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM...
Office of Environmental Management (EM)
Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results Improvements to Hydrogen Delivery Scenario Analysis Model (HDSAM) and Results This presentation by...
Static Model Analysis with Lattice-based Ontologies
Lickly, Ben
2012-01-01
3 Static Analysis 3.1 Heuristics-based tools . . . . .Ontology Framework for Static Model Analysis”. In: EMSOFT ’Murawski and Kwangkeun Yi. “Static Monotonicity Analysis for
A. V. Anisovich; V. A. Sadovnikova
1999-12-22
The nucleon-nucleon interaction in the region of the nucleon kinetic energy up to 1000 MeV is analysed together with the reaction $\\gamma d \\to pn$ in the photon energy range $E_{\\gamma}=0-400$ MeV. Nine nucleon-nucleon $s$-channel partial amplitudes are reconstructed in the dispersion relation $N/D$ method: $^1S_0$, $^3S_1-^3D_1$, $^3P_0$, $^1P_1$, $^3P_1$, $^3P_2$, $^1D_2$, $^3D_2$ and $^3F_3$. Correspondingly, the dispersive representation of partial amplitudes $N\\Delta \\to pn$, $NN^* \\to pn$ and $NN\\pi \\to pn$ is given. Basing on that, we have performed parameter-free calculation of the amplitude $\\gamma d \\to pn$, taking into account: $(i)$ pole diagram, $(ii)$ nucleon-nucleon final-state rescattering $\\gamma d \\to pn \\to pn$, and $(iii)$ inelastic final-state rescatterings $\\gamma d \\to N\\Delta(1232) \\to pn$, $\\gamma d \\to NN^*(1400) \\to pn$ and $\\gamma d \\to NN\\pi \\to pn$. The $\\gamma d \\to pn$ partial amplitudes for nine above-mentioned channels are found. It is shown that the process $\\gamma d \\to pn \\to pn$ is significant for the waves $^1S_0$, $^3P_0$, $^3P_1$, at $E_{\\gamma} =50 -100$ MeV, while $\\gamma d \\to N\\Delta \\to pn$ for the waves $^3P_2$, $^1D_2$,$^3F_3$ dominates at $E_{\\gamma} > 300$ MeV. Meson exchange current contributions into the deuteron disintegration are estimated: they are significant at $E_\\gamma =100-400$ MeV.
Update 1 to: A Dispersion Modeling Analysis of Downwash from Mirant's
Broader source: Energy.gov (indexed) [DOE]
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyThe U.S.Laclede GasEfficiency|Feed|DepartmentThe UnitedUpcoming Webinars
Update 2 to: A Dispersion Modeling Analysis of Downwash from Mirant's
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLEStatutoryin theNuclear Energy ResearchKansasDepartmentJ
Update 3 to: A Dispersion Modeling Analysis of Downwash from Mirant's
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Update 4 to: A Dispersion Modeling Analysis of Downwash from Mirant's
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLEStatutoryin theNuclear Energy ResearchKansasDepartmentJPotomac
Update 5 to: A Dispersion Modeling Analysis of Downwash from Mirant's
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OF APPLICABLEStatutoryin theNuclear Energy
Modeling and Analysis ofModeling and Analysis of Hybrid Control SystemsHybrid Control Systems
Johansson, Karl Henrik
Modeling and Analysis ofModeling and Analysis of Hybrid Control SystemsHybrid Control Systems Karl.kth.se/~kallej MOVEP 2006, Bordeaux, France Karl H. Johansson, Hybrid control systems, MOVEP, Bordeaux on commands and autonomous actions #12;Karl H. Johansson, Hybrid control systems, MOVEP, Bordeaux, 2006
Grujicic, Mica
1999-01-01
Materials Science and Engineering A265 (1999) 285300 Crystal plasticity analysis of the effect element analysis based on the crystal plasticity theory was carried out to investigate the deformation Science S.A. All rights reserved. Keywords: Crystal plasticity theory; Deformation; Fracture; Lamellar k
Available instrumentation: Instrument Model/features Analysis
Eberhard, Marc O.
Available instrumentation: Instrument Model/features Analysis ICP-MS Perkin Elmer ELAN-DRCe with optional front-end Perkin Elmer series 200 HPLC. Available DRC gases include NH3 and O2. Virtually any element, notably metals. The instrument is equipped with a dedicated HPLC that allows differentiation
Applying Dataflow Analysis to Models Christian Saad
Bauer, Bernhard
] (based on the Eclipse Modeling Framework, EMF) Use dataflow analysis as a generic "programming language.all_predecessors()->including(self.name); ar d S t(St i ) nce Depen Detect strongly connected components (SCC) var pred : Set(String) := self
Aalborg Universitet Analysis and Modeling of Transformerless Photovoltaic Inverter Systems
Kerekes, Tamas
Aalborg Universitet Analysis and Modeling of Transformerless Photovoltaic Inverter Systems Kerekes and Modeling of Transformerless Photovoltaic Inverter Systems. Aalborg Universitet: Institut for Energiteknik from vbn.aau.dk on: juli 05, 2015 #12;Analysis and Modeling of Transformerless Photovoltaic Inverter
L. A. Falkovsky
2007-08-11
Taking into account the constraints imposed by the lattice symmetry, the phonon dispersion is calculated for graphene with interactions between the first and second nearest neighbors in the framework of the Born-von Karman model. Analytical expressions are obtained for the out-of-plane (bending) modes determined only by two force constants as well as for the in-plane modes with four force constants. Values of the force constants are found in fitting to elastic constants and Raman frequencies observed in graphite.
A. Gama Goicochea; M. A. Balderas Altamirano; R. Lopez-Esparza; M. A. Waldo; E. Perez
2015-06-20
The connection between fundamental interactions acting in molecules in a fluid and macroscopically measured properties, such as the viscosity between colloidal particles coated with polymers, is studied here. The role that hydrodynamic and Brownian forces play in colloidal dispersions is also discussed. It is argued that many body systems in which all these interactions take place can be accurately solved using computational simulation tools. One of those modern tools is the technique known as dissipative particle dynamics, which incorporates Brownian and hydrodynamic forces, as well as basic conservative interactions. A case study is reported, as an example of the applications of this technique, which consists of the prediction of the viscosity and friction between two opposing parallel surfaces covered with polymer chains, under the influence of a steady flow. This work is intended to serve as an introduction to the subject of colloidal dispersions and computer simulations, for last year undergraduate students and beginning graduate students who are interested in beginning research in soft matter systems. To that end, a computational code is included that students can use right away to study complex fluids in equilibrium.
Hydrogen Delivery Scenario Analysis Model (HDSAM)
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool Fits the Bill FinancingDepartment ofPowerScenario Analysis Model (HDSAM) (Argonne
Technical Cost Modeling - Life Cycle Analysis Basis for Program...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
- Life Cycle Analysis Basis for Program Focus Technical Cost Modeling - Life Cycle Analysis Basis for Program Focus Polymer Composites Research in the LM Materials Program Overview...
Broadband dispersion extraction using simultaneous sparse penalization
Saligrama, Venkatesh
the borehole and thus dispersion analysis is of considerable interest to the geophysical and oilfield services community. A brief survey of borehole acoustic waves and their use in mechanical characterization is a function of frequency. This function characterizes the mode and is referred to as a dispersion curve
TSPA Model Development and Sensitivity Analysis of Processes...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
TSPA Model Development and Sensitivity Analysis of Processes Affecting Performance of a Salt Repository for Disposal of Heat-Generating Nuclear Waste TSPA Model Development and...
Modeling Masticatory Muscle Force in Finite Element Analysis
Modeling Masticatory Muscle Force in Finite Element Analysis: Sensitivity Analysis Using Principal: electromyography; muscle force; mastication; primates; principal coordinates analysis; finite element analysis Our Origins, University of Arizona, Tempe, Arizona ABSTRACT Our work on a finite element model of the skull
A Denotational Model for Component-Based Risk Analysis
Stølen, Ketil
A Denotational Model for Component-Based Risk Analysis Gyrd Brændeland1,2, , Atle Refsdal2 by traditional risk analysis methods. This paper ad- dresses this problem from a theoretical perspective by proposing a deno- tational model for component-based risk analysis. In order to model the probabilistic
Helton, J.C.; Johnson, J.D.; McKay, M.D.; Shiver, A.W.; Sprung, J.L.
1995-01-01
Uncertainty and sensitivity analysis techniques based on Latin hypercube sampling, partial correlation analysis and stepwise regression analysis are used in an investigation with the MACCS model of the early health effects associated with a severe accident at a nuclear power station. The primary purpose of this study is to provide guidance on the variables to be considered in future review work to reduce the uncertainty in the important variables used in the calculation of reactor accident consequences. The effects of 34 imprecisely known input variables on the following reactor accident consequences are studied: number of early fatalities, number of cases of prodromal vomiting, population dose within 10 mi of the reactor, population dose within 1000 mi of the reactor, individual early fatality probability within 1 mi of the reactor, and maximum early fatality distance. When the predicted variables are considered collectively, the following input variables were found to be the dominant contributors to uncertainty: scaling factor for horizontal dispersion, dry deposition velocity, inhalation protection factor for nonevacuees, groundshine shielding factor for nonevacuees, early fatality hazard function alpha value for bone marrow exposure, and scaling factor for vertical dispersion.
MODELING ANALYSIS FOR GROUT HOPPER WASTE TANK
Lee, S.
2012-01-04
The Saltstone facility at Savannah River Site (SRS) has a grout hopper tank to provide agitator stirring of the Saltstone feed materials. The tank has about 300 gallon capacity to provide a larger working volume for the grout nuclear waste slurry to be held in case of a process upset, and it is equipped with a mechanical agitator, which is intended to keep the grout in motion and agitated so that it won't start to set up. The primary objective of the work was to evaluate the flow performance for mechanical agitators to prevent vortex pull-through for an adequate stirring of the feed materials and to estimate an agitator speed which provides acceptable flow performance with a 45{sup o} pitched four-blade agitator. In addition, the power consumption required for the agitator operation was estimated. The modeling calculations were performed by taking two steps of the Computational Fluid Dynamics (CFD) modeling approach. As a first step, a simple single-stage agitator model with 45{sup o} pitched propeller blades was developed for the initial scoping analysis of the flow pattern behaviors for a range of different operating conditions. Based on the initial phase-1 results, the phase-2 model with a two-stage agitator was developed for the final performance evaluations. A series of sensitivity calculations for different designs of agitators and operating conditions have been performed to investigate the impact of key parameters on the grout hydraulic performance in a 300-gallon hopper tank. For the analysis, viscous shear was modeled by using the Bingham plastic approximation. Steady state analyses with a two-equation turbulence model were performed. All analyses were based on three-dimensional results. Recommended operational guidance was developed by using the basic concept that local shear rate profiles and flow patterns can be used as a measure of hydraulic performance and spatial stirring. Flow patterns were estimated by a Lagrangian integration technique along the flow paths from the material feed inlet.
Office of Energy Efficiency and Renewable Energy (EERE)
The Nuclear Regulatory Commission’s (NRC’s) code for predicting off-siteconsequences, MACCS2 (Chanin, et al. 1998) (MELCOR Accident Consequence CodeSystem, Version 2), uses a simplified model for...
Dynamical Systems Analysis of Various Dark Energy Models
Nandan Roy
2015-11-25
In this thesis, we used dynamical systems analysis to find the qualitative behaviour of some dark energy models. Specifically, dynamical systems analysis of quintessence scalar field models, chameleon scalar field models and holographic models of dark energy are discussed in this thesis.
Dynamical Systems Analysis of Various Dark Energy Models
Roy, Nandan
2015-01-01
In this thesis, we used dynamical systems analysis to find the qualitative behaviour of some dark energy models. Specifically, dynamical systems analysis of quintessence scalar field models, chameleon scalar field models and holographic models of dark energy are discussed in this thesis.
Nanostructured electrodes for organic bulk heterojunction solar cells: Model study using carbon for organic pseudo-bilayer solar cells J. Appl. Phys. 112, 084511 (2012) Addition of regiorandom poly(3 (2012) Tunable open-circuit voltage in ternary organic solar cells Appl. Phys. Lett. 101, 163302 (2012
Gorenz, Heather M. (Albuquerque, NM); Brockmann, John E. (Albuquerque, NM); Lucero, Daniel A. (Albuquerque, NM)
2011-09-20
A powder dispersion method and apparatus comprising an air eductor and a powder dispensing syringe inserted into a suction connection of the air eductor.
Turing Machine as an ecological model for Task Analysis
Frénod, Emmanuel
1 Turing Machine as an ecological model for Task Analysis Thierry Morineau, Emmanuel Frénod model is based on the Turing Machine formalism and takes into account the variety of situations that can opening a door. Keywords: Cognitive work analysis, task analysis, Turing machine, affordance #12;3 1
Research Article Automating Risk Analysis of Software Design Models
Miller, Barton P.
Research Article Automating Risk Analysis of Software Design Models Maxime Frydman,1 Guifré Ruiz,2 to reduce the need for costly human expertise to perform risk analysis in software, which is common of these secure development methodologies share one essential risk analysis activity, called threat modeling [4
Modeling Elastic Properties in Finite-Element Analysis: How Much
Modeling Elastic Properties in Finite- Element Analysis: How Much Precision Is Needed to Produce analysis was investigated using a finite-element model of a Macaca fascicularis skull. Four finite-element realistically using the orthotropic elastic properties employed in analysis 4. Results suggest that finite-element
MnO spin-wave dispersion curves from neutron powder diffraction
Goodwin, Andrew L.; Dove, Martin T.; Tucker, Matthew G.; Keen, David A.
2007-02-15
We describe a model-independent approach for the extraction of spin-wave dispersion curves from powder neutron total scattering data. Our approach is based on a statistical analysis of real-space spin configurations to calculate spin-dynamical quantities. The RMCPROFILE implementation of the reverse Monte Carlo refinement process is used to generate a large ensemble of supercell spin configurations from MnO powder diffraction data collected at 100 K. Our analysis of these configurations gives spin-wave dispersion curves for MnO that agree well with those determined independently using neutron triple-axis spectroscopic techniques.
Determination of dispersivities from a natural-gradient dispersion test
Hoover, Caroline Marie
1985-01-01
Model DESCRIPTION OF THE NATURAL-GRADIENT DISPERSION TEST. Site Geology. Methodology Summary of Results. APPLICATION OF METHODS. Ideal Pl ume Study. Characterization of the Iterative Diagrams. . . Sensitivity Analyses. Field Tracer Study... with contaminant hydrogeology. Cherry et al. (1975) defines contaminant hydrogeology as the application of hydrogeological and geochemical theory and practice to the protection of aquifers and surface waters from contamination, and to the design and monitoring...
SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR
SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR HEAT PUMP By ARUN SHENOY Bachelor December, 2004 #12;SIMULATION, MODELING AND ANALYSIS OF A WATER TO AIR HEAT PUMP Thesis Approved................................................................3 2.1. Equation fit water to air heat pump and chiller models...............................3 2
AN INTRODUCTION TO HYBRID SYSTEM MODELING, ANALYSIS, AND CONTROL
Pappas, George J.
AN INTRODUCTION TO HYBRID SYSTEM MODELING, ANALYSIS, AND CONTROL JOHN LYGEROS, GEORGE PAPPAS as models of large scale systems. We provide an overview of modeling, analysis, and controller synthesis automatically. Finally, we review a method for designing controllers for hybrid systems with reachability
Model-independent analysis of the Fermilab Tevatron turn-by-turn beam position monitor measurements
Petrenko, A.V.; Valishev, A.A.; Lebedev, V.A.; /Fermilab
2011-09-01
Coherent transverse beam oscillations in the Tevatron were analyzed with the model-independent analysis (MIA) technique. This allowed one to obtain the model-independent values of coupled betatron amplitudes, phase advances, and dispersion function around the ring from a single dipole kick measurement. In order to solve the MIA mode mixing problem which limits the accuracy of determination of the optical functions, we have developed a new technique of rotational MIA mode untangling. The basic idea is to treat each beam position monitor (BPM) as two BPMs separated in a ring by exactly one turn. This leads to a simple criterion of MIA mode separation: the betatron phase advance between any BPM and its counterpart shifted by one turn should be equal to the betatron tune and therefore should not depend on the BPM position in the ring. Furthermore, we describe a MIA-based technique to locate vibrating magnets in a storage ring.
LeClair, Robert J.; Wang Yinkun; Zhao Peiying; Boileau, Michel; Wang, Lilie; Fleurot, Fabrice [Department of Physics and Astronomy, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada) and Biomolecular Sciences Program, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada); Department of Physics and Astronomy, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada)
2006-05-15
A CdZnTe detector (CZTD) can be very useful for measuring diagnostic x-ray spectra. The semiconductor detector does, however, exhibit poor hole transport properties and fluorescence generation upon atomic de-excitations. This article describes an analytic model to characterize these two phenomena that occur when a CZTD is exposed to diagnostic x rays. The analytical detector response functions compare well with those obtained via Monte Carlo calculations. The response functions were applied to 50, 80, and 110 kV x-ray spectra. Two 50 kV spectra were measured; one with no filtration and the other with 1.35 mm Al filtration. The unfiltered spectrum was numerically filtered with 1.35 mm of Al in order to see whether the recovered spectrum resembled the filtered spectrum actually measured. A deviation curve was obtained by subtracting one curve from the other on an energy bin by bin basis. The deviation pattern fluctuated around the zero line when corrections were applied to both spectra. Significant deviations from zero towards the lower energies were observed when the uncorrected spectra were used. Beside visual observations, the exposure obtained using the numerically attenuated unfiltered beam was compared to the exposure calculated with the actual filtered beam. The percent differences were 0.8% when corrections were applied and 25% for no corrections. The model can be used to correct diagnostic x-ray spectra measured with a CdZnTe detector.
Shu Tao; Xinrong Li; Yu Yang; Raymond M. Coveney, Jr.; Xiaoxia Lu; Haitao Chen; Weiran Shen [Peking University, Beijing (China). Laboratory for Earth Surface Processes, College of Environmental Sciences
2006-08-01
A USEPA procedure, ISCLT3 (Industrial Source Complex Long-Term), was applied to model the spatial distribution of polycyclic aromatic hydrocarbons (PAHs) emitted from various sources including coal, petroleum, natural gas, and biomass into the atmosphere of Tianjin, China. Benzo(a)pyrene equivalent concentrations (BaPeq) were calculated for risk assessment. Model results were provisionally validated for concentrations and profiles based on the observed data at two monitoring stations. The dominant emission sources in the area were domestic coal combustion, coke production, and biomass burning. Mainly because of the difference in the emission heights, the contributions of various sources to the average concentrations at receptors differ from proportions emitted. The shares of domestic coal increased from {approximately} 43% at the sources to 56% at the receptors, while the contributions of coking industry decreased from {approximately} 23% at the sources to 7% at the receptors. The spatial distributions of gaseous and particulate PAHs were similar, with higher concentrations occurring within urban districts because of domestic coal combustion. With relatively smaller contributions, the other minor sources had limited influences on the overall spatial distribution. The calculated average BaPeq value in air was 2.54 {+-} 2.87 ng/m{sup 3} on an annual basis. Although only 2.3% of the area in Tianjin exceeded the national standard of 10 ng/m{sup 3}, 41% of the entire population lives within this area. 37 refs., 9 figs.
Sensitivity Analysis Methodology for a Complex System Computational Model
1 Sensitivity Analysis Methodology for a Complex System Computational Model James J. Filliben of computational models to serve as predictive surrogates for the system. The use of such models increasingly) of a computational model for a complex system is always an essential component in accepting/rejecting such a model
Dispersion strengthened copper
Sheinberg, H.; Meek, T.T.; Blake, R.D.
1990-01-09
A composition of matter is described which is comprised of copper and particles which are dispersed throughout the copper, where the particles are comprised of copper oxide and copper having a coating of copper oxide. A method for making this composition of matter is also described. This invention relates to the art of powder metallurgy and, more particularly, it relates to dispersion strengthened metals.
Bioproduct Life Cycle Analysis with the GREET Model
Office of Energy Efficiency and Renewable Energy (EERE)
Breakout Session 2B—Integration of Supply Chains II: Bioproducts—Enabling Biofuels and Growing the Bioeconomy Bioproduct Life Cycle Analysis with the GREET Model Jennifer B. Dunn, Biofuel Life Cycle Analysis Team Lead, Argonne National Laboratory
Phonon dispersion of graphene revisited
Sahoo, Rasmita, E-mail: sahoorasmita@yahoo.com; Mishra, Rashmi Ranjan [Birla Institute of Technology and Science, Department of Physics (India)
2012-05-15
The phonon dispersion of graphene is derived by using a simple mass spring model and considering up to the first, second, third, and fourth nearest-neighbor interactions. The results obtained from different nearest-neighbor interactions are compared and it is shown that the k{sup 2} dependence for the out-of-plane transverse acoustic mode obtained in other sophisticated methods as well as experiment occurs only after including the fourth nearest-neighbor interaction.
Electromagnetic Media with no Dispersion Equation
Ismo V. Lindell; Alberto Favaro
2013-03-25
It has been known through some examples that parameters of an electromagnetic medium can be so defined that there is no dispersion equation (Fresnel equation) to restrict the choice of the wave vector of a plane wave in such a medium, i.e., that the dispersion equation is satisfied identically for any wave vector. In the present paper, a more systematic study to define classes of media with no dispersion equation is attempted. The analysis makes use of coordinate-free four-dimensional formalism in terms of multivectors, multiforms and dyadics.
Fully Coupled Electromechanical Elastodynamic Model for Guided Wave Propagation Analysis
Borkowski, Luke; Chattopadhyay, Aditi
2013-01-01
Physics-based computational models play a key role in the study of wave propagation for structural health monitoring (SHM) and the development of improved damage detection methodologies. Due to the complex nature of guided waves, accurate and efficient computation tools are necessary to investigate the mechanisms responsible for dispersion, coupling, and interaction with damage. In this paper, a fully coupled electromechanical elastodynamic model for wave propagation in a heterogeneous, anisotropic material system is developed. The final framework provides the full three dimensional displacement and electrical potential fields for arbitrary plate and transducer geometries and excitation waveform and frequency. The model is validated theoretically and proven computationally efficient. Studies are performed with surface bonded piezoelectric sensors to gain insight into the physics of experimental techniques used for SHM. Collocated actuation of the fundamental Lamb wave modes is modeled over a range of frequenc...
Flexible regression models for ROC and risk analysis, with or without a gold standard.
Branscum, AJ; Johnson, WO; Hanson, TE; Baron, AT
2015-01-01
models for ROC and risk analysis, with or without a goldor biomarkers and risk analysis. The models and methods are
Studies of Neurological Transmission Analysis Hierarchical Bayesian Mixture Models
West, Mike
Studies of Neurological Transmission Analysis using Hierarchical Bayesian Mixture Models MIKE WEST of individual neuro transmitter release sites at nerve junctions. Models attempt to capture scientific features, with result ing neurophysiological insights in some recently generated experimental contexts. Further
Modeling and Analysis of CSP Systems (Fact Sheet)
Not Available
2010-08-01
Fact sheet describing NREL CSP Program capabilities in the area of modeling and analysis of CSP systems: assessing the solar resource, predicting performance and cost, studying environmental impact, and developing modeling software packages.
The conservation planning analysis model. Final report
Not Available
1993-12-31
This paper contains the source code for a program on conservation planning analysis for residential, commercial and industrial customers.
Ultraviolet Communication Network Modeling and Analysis
Wang, Leijie
2011-01-01
and NLOS UV Communication System Model . . . . . . 3.2.15.3 UV Communication Link and TransceiverUV NLOS communication system model in coplanar
Vaghetto, Rodolfo
2012-07-16
An experimental activity was performed to observe and study the effects of graphite dispersion and deposition on thermal hydraulic phenomena in a Reactor Cavity Cooling System (RCCS). The small scale RCCS experimental facility (16.5cm x 16.5cm x 30...
Analysis and Clustering of Model Clones: An Automotive Industrial Experience
Cordy, James R.
Analysis and Clustering of Model Clones: An Automotive Industrial Experience Manar H. Alalfi, James similarity in industrial automotive models. We apply our model clone detection tool, SIMONE, to identify and suggests better ways to maintain them. I. INTRODUCTION In todays automotive industry, models are widely
Dispersion strengthened copper
Sheinberg, Haskell (Los Alamos, NM); Meek, Thomas T. (Knoxville, TN); Blake, Rodger D. (Santa Fe, NM)
1990-01-01
A composition of matter comprised of copper and particles which are dispersed throughout the copper, where the particles are comprised of copper oxide and copper having a coating of copper oxide, and a method for making this composition of matter.
Dispersion strengthened copper
Sheinberg, Haskell (Los Alamos, NM); Meek, Thomas T. (Knoxville, TN); Blake, Rodger D. (Santa Fe, NM)
1989-01-01
A composition of matter comprised of copper and particles which are dispersed throughout the copper, where the particles are comprised of copper oxide and copper having a coating of copper oxide, and a method for making this composition of matter.
Yoder, Graydon L.
1980-01-01
Dispersed flow consists of small liquid droplets entrained in a flowing vapor. This flow regime can occur in cryogenic equipment, in steam generators, and during nuclear reactor loss of coolant accidents. A theoretical ...
Exploiting Behavior Models for Availability Analysis of Interactive Systems
Cengarle, María Victoria
Exploiting Behavior Models for Availability Analysis of Interactive Systems Maximilian Junker Technische Universit¨at M¨unchen Abstract--We propose an approach for availability analysis that directly are reduced effort as no dedicated availability models need to be created as well as precise results due
Analyses of High Pressure Molten Debris Dispersion for a Typical PWR Plant
Osamu KAawabata; Mitsuhiro Kajimoto [Japan Nuclear Energy Safety Organization (Japan)
2006-07-01
In such severe core damage accident, as small LOCAs with no ECCS injection or station blackout, in which the primary reactor system remains pressurized during core melt down, certain modes of vessel failure would lead to a high pressure ejection of molten core material. In case of a local failure of the lower head, the molten materials would initially be ejected into the cavity beneath the pressure vessel may subsequently be swept out from the cavity to the containment atmosphere and it might cause the early containment failure by direct contact of containment steel liner with core debris. When the contribution of a high-pressure scenario in a core damage frequency increases, early conditional containment failure probability may become large. In the present study, the verification analysis of PHOENICS code and the combining analysis with MELCOR and PHOENICS codes were performed to examine the debris dispersion behavior during high pressure melt ejection. The PHOENICS code which can treat thermal hydraulic phenomena, was applied to the verification analysis for melt dispersion experiments conducted by the Purdue university in the United States. A low pressure melt dispersion experiment at initial pressure 1.4 MPas used metal woods as a molten material was simulated. The analytical results with molten debris dispersion mostly from the model reactor cavity compartment showed an agreement with the experimental result, but the analysis result of a volumetric median diameter of the airborne debris droplets was estimated about 1.5 times of the experimental result. The injection rates of molten debris and steam after reactor vessel failure for a typical PWR plant were analyzed using the MELCOR code. In addition, PHOENICS was applied to a 3D analysis for debris dispersion with low primary pressure at the reactor vessel failure. The analysis result showed that almost all the molten debris were dispersed from the reactor vessel cavity compartment by about 45 seconds after the start of steam release. (authors)
Non resonant transmission modelling with Statistical modal Energy distribution Analysis
Boyer, Edmond
be used as an alternative to Statistical Energy Analysis for describing subsystems with low modal overlap1 Non resonant transmission modelling with Statistical modal Energy distribution Analysis L. Maxit Capelle, F-69621 Villeurbanne Cedex, France Statistical modal Energy distribution Analysis (SmEdA) can
Sensitivity Analysis of the Gap Heat Transfer Model in BISON.
Swiler, Laura Painton; Schmidt, Rodney C.; Williamson, Richard; Perez, Danielle
2014-10-01
This report summarizes the result of a NEAMS project focused on sensitivity analysis of the heat transfer model in the gap between the fuel rod and the cladding used in the BISON fuel performance code of Idaho National Laboratory. Using the gap heat transfer models in BISON, the sensitivity of the modeling parameters and the associated responses is investigated. The study results in a quantitative assessment of the role of various parameters in the analysis of gap heat transfer in nuclear fuel.
Full-System Power Analysis and Modeling for Server Environments
Kozyrakis, Christos
Full-System Power Analysis and Modeling for Server Environments Dimitris Economou, Suzanne Rivoire consumption trends and developing simple yet accurate models to predict full-system power. We study to generate a model by correlating AC power measurements with user-level system utilization metrics. We
Modelling and Analysis of Wireless Sensor Networks with Energy
Modelling and Analysis of Wireless Sensor Networks with Energy Harvesting Capabilities Nan Wu and energy harvesting may exceed the gain by using them. So, it can be seen as a trade-off in Wireless Sensor a generic modelling framework which can be used to model and analyze energy harvesting aware Wireless Sensor
Fuel Cell System Improvement for Model-Based Diagnosis Analysis
Paris-Sud XI, Université de
Fuel Cell System Improvement for Model-Based Diagnosis Analysis Philippe Fiani & Michel Batteux of a model of a fuel cell system, in order to make it usable for model- based diagnosis methods. A fuel cell for the fuel cell stack but also for the system environment. In this paper, we present an adapted library which
ParaText : scalable text modeling and analysis.
Dunlavy, Daniel M.; Stanton, Eric T.; Shead, Timothy M.
2010-06-01
Automated processing, modeling, and analysis of unstructured text (news documents, web content, journal articles, etc.) is a key task in many data analysis and decision making applications. As data sizes grow, scalability is essential for deep analysis. In many cases, documents are modeled as term or feature vectors and latent semantic analysis (LSA) is used to model latent, or hidden, relationships between documents and terms appearing in those documents. LSA supplies conceptual organization and analysis of document collections by modeling high-dimension feature vectors in many fewer dimensions. While past work on the scalability of LSA modeling has focused on the SVD, the goal of our work is to investigate the use of distributed memory architectures for the entire text analysis process, from data ingestion to semantic modeling and analysis. ParaText is a set of software components for distributed processing, modeling, and analysis of unstructured text. The ParaText source code is available under a BSD license, as an integral part of the Titan toolkit. ParaText components are chained-together into data-parallel pipelines that are replicated across processes on distributed-memory architectures. Individual components can be replaced or rewired to explore different computational strategies and implement new functionality. ParaText functionality can be embedded in applications on any platform using the native C++ API, Python, or Java. The ParaText MPI Process provides a 'generic' text analysis pipeline in a command-line executable that can be used for many serial and parallel analysis tasks. ParaText can also be deployed as a web service accessible via a RESTful (HTTP) API. In the web service configuration, any client can access the functionality provided by ParaText using commodity protocols ... from standard web browsers to custom clients written in any language.
Performance analysis and modeling of GYRO
Lively, Charles Wesley, III
2006-10-30
and the system used for execution. In particular, models can be used to predict the relative performance of different systems used to execute an application. Recently, a significant effort has been devoted to gaining a more detailed understanding...
Bayesian models for DNA microarray data analysis
Lee, Kyeong Eun
2005-08-29
Selection of signi?cant genes via expression patterns is important in a microarray problem. Owing to small sample size and large number of variables (genes), the selection process can be unstable. This research proposes a hierarchical Bayesian model...
Hierarchical Modeling and Analysis of Embedded Systems
Esposito, Joel M.
concerning vehicle coordination. Keywords--Embedded control systems, formal analysis tools, hybrid systems, modular design. I. INTRODUCTION An embedded system typically consists of a collection of digital programs. This approach to system design largely ignores the problem of implementing control laws as a piece of software
Modeling and Analysis of Two-Part Type Manufacturing Systems
Jang, Young Jae
This paper presents a model and analysis of a synchronous tandem flow line that produces different part types on unreliable machines. The machines operate according to a static priority rule, operating on the highest ...
Dating Concurrent Objects: Real-Time Modeling and Schedulability Analysis
Johnsen, Einar Broch
. This research is partly funded by the EU projects IST-33826 CREDO: Modeling and Analysis of Evolutionary Structures for Distributed Services (http://credo.cwi.nl) and FP7-231620 HATS: Highly Adaptable and Trust
Gaussian Observation Hidden Markov models for EEG analysis
Penny, Will
Gaussian Observation Hidden Markov models for EEG analysis William D. Penny and Stephen J. Roberts, Imperial College of Science, Technology and Medicine, London SW7 2BT., U.K. w.penny@ic.ac.uk, s
Dennis D. Keiser, Jr.; Jan-Fong Jue; Brandon D. Miller; Jian Gan; Adam B. Robinson; Pavel Medvedev; James Madden; Dan Wachs; Mitch Meyer
2014-04-01
In order to investigate how the microstructure of fuel/matrix-interaction (FMI) layers change during irradiation, different U–7Mo dispersion fuel plates have been irradiated to high fission density and then characterized using scanning electron microscopy (SEM). Specifially, samples from irradiated U–7Mo dispersion fuel elements with pure Al, Al–2Si and AA4043 (~4.5 wt.%Si) matrices were SEM characterized using polished samples and samples that were prepared with a focused ion beam (FIB). Features not observable for the polished samples could be captured in SEM images taken of the FIB samples. For the Al matrix sample, a relatively large FMI layer develops, with enrichment of Xe at the FMI layer/Al matrix interface and evidence of debonding. Overall, a significant penetration of Si from the FMI layer into the U–7Mo fuel was observed for samples with Si in the Al matrix, which resulted in a change of the size (larger) and shape (round) of the fission-gas bubbles. Additionally, solid-fission-product phases were observed to nucleate and grow within these bubbles. These changes in the localized regions of the microstructure of the U–7Mo may contribute to changes observed in the macroscopic swelling of fuel plates with Al–Si matrices.
Modeling and analysis of multiclass thresholdbased queues with hysteresis using
Tuffin, Bruno
of communiÂ cation networks. The analysis is done using Stochastic Petri Nets and Fluid Stochastic Petri NetsModeling and analysis of multiÂclass thresholdÂbased queues with hysteresis using Stochastic Petri is transparent using an available Petri net package. Numerous numerical illustrations are given in order
Spatial Models for Groundwater Behavioral Analysis in Regions of Maharashtra
Sohoni, Milind
Spatial Models for Groundwater Behavioral Analysis in Regions of Maharashtra M.Tech Dissertation In this project we have performed spatial analysis of groundwater data in Thane and Latur districts of Maharashtra Groundwater Survey and Development Agency, Maharashtra), shape files for watershed boundaries and drainage
Shape Analysis through Predicate Abstraction and Model Checking
Namjoshi, Kedar
Shape Analysis through Predicate Abstraction and Model Checking Dennis Dams and Kedar S. Namjoshi framework with the analysis of some "classical" list manipulation programs, using our implementa- tion on a "classical" list reversal program. A detailed de- scription of the experiments, including input and result
Paris-Sud XI, Université de
Sensitivity analysis of conceptual model calibration to initialisation bias. Application to karst models. The propagation of uncertainty in the initial conditions is shown to depend on both model associated with long-term memory reservoir and fast discharge models, they may generate a substantial
MODELING HUMAN RELIABILITY ANALYSIS USING MIDAS
Ronald L. Boring; Donald D. Dudenhoeffer; Bruce P. Hallbert; Brian F. Gore
2006-05-01
This paper summarizes an emerging collaboration between Idaho National Laboratory and NASA Ames Research Center regarding the utilization of high-fidelity MIDAS simulations for modeling control room crew performance at nuclear power plants. The key envisioned uses for MIDAS-based control room simulations are: (i) the estimation of human error with novel control room equipment and configurations, (ii) the investigative determination of risk significance in recreating past event scenarios involving control room operating crews, and (iii) the certification of novel staffing levels in control rooms. It is proposed that MIDAS serves as a key component for the effective modeling of risk in next generation control rooms.
Critical National Infrastructure Reliability Modeling and Analysis
. · Telecommunications: Congestion or disruption of key communications nodes by fire, wind, water, or sabotage · Power of Homeland Security is protection of our critical national infrastructures including power, communications, transportation, and water. This paper presents models to quantify the interdependencies of critical
Water Budget Analysis and Groundwater Inverse Modeling
Farid Marandi, Sayena
2012-07-16
and seasonality of local/regional hydrological processes. The model involved a transient two- dimensional hydrogeological simulation of the multi-layered aquifer. In the second part of the thesis, a Markov Chain Monte Carlo (MCMC) method were developed to estimate...
A Spatial Analysis of Multivariate Output from Regional Climate Models
Sain, Steve
, Columbus, OH 43210, ncressie@stat.osu.edu. 1 #12;1 Introduction Many processes in the Earth system cannot, etc. Climate models attempt to represent this system, as well as to incorporate anthropogenic forcingsA Spatial Analysis of Multivariate Output from Regional Climate Models Stephan R. Sain,1 Reinhard
Multilayer Network Model for Analysis and Management of Change Propagation
de Weck, Olivier L.
1 Multilayer Network Model for Analysis and Management of Change Propagation Michael C. Pasqual · Olivier L. de Weck Abstract A pervasive problem for engineering change management is the phenomenon and management of change propagation using the model. The repository includes a few novel tools and metrics, most
MARKET SYSTEMS MODELING FOR PUBLIC VERSUS PRIVATE TRADEOFF ANALYSIS IN
Papalambros, Panos
MARKET SYSTEMS MODELING FOR PUBLIC VERSUS PRIVATE TRADEOFF ANALYSIS IN OPTIMAL VEHICLE DESIGN from a market system approach that includes the ability to change vehicle design are most valuable&D investment. Additionally, integrating engineering design models in a market system context begins to provide
ANALYSIS OF HEPATITIS C VIRUS INFECTION MODELS WITH HEPATOCYTE HOMEOSTASIS
Reluga, Tim
ANALYSIS OF HEPATITIS C VIRUS INFECTION MODELS WITH HEPATOCYTE HOMEOSTASIS TIMOTHY C. RELUGA ALAMOS NATIONAL LABORATORY LOS ALAMOS, NM 87545 Abstract. Recently, we developed a model for hepatitis C infections with hepatotropic viruses, such as hepatitis B virus. Key words. HCV, viral dynamics, bifurcation
Fair Internet traffic integration: network flow models and analysis
Kelly, Frank
Fair Internet traffic integration: network flow models and analysis Peter Key, Laurent Massoulié the integration of two types of Internet traffic, elastic file transfers and streaming traffic. Previous studies have concentrated on just one type of traffic, such as the flow level models of Internet congestion
Modeling and Analysis of WAP Performance over Wireless Links
Shen, Xuemin "Sherman"
Modeling and Analysis of WAP Performance over Wireless Links Humphrey Rutagemwa, Student Member the performance behaviors of wireless application protocol (WAP) over wireless links is proposed. A Rayleigh fading channel model is used to characterize the behaviors of wireless channel. Mathematical expressions
Matrix Modeling Methods for Spaceflight Campaign Logistics Analysis
de Weck, Olivier L.
Matrix Modeling Methods for Spaceflight Campaign Logistics Analysis Afreen Siddiqi and Olivier L-based modeling approach for analyzing spaceflight campaign logistics. A campaign is considered to be a series logistics properties. A logistics strategy index is proposed for quantifying manifesting strategies
Compartmentalization analysis using discrete fracture network models
La Pointe, P.R.; Eiben, T.; Dershowitz, W.; Wadleigh, E.
1997-08-01
This paper illustrates how Discrete Fracture Network (DFN) technology can serve as a basis for the calculation of reservoir engineering parameters for the development of fractured reservoirs. It describes the development of quantitative techniques for defining the geometry and volume of structurally controlled compartments. These techniques are based on a combination of stochastic geometry, computational geometry, and graph the theory. The parameters addressed are compartment size, matrix block size and tributary drainage volume. The concept of DFN models is explained and methodologies to compute these parameters are demonstrated.
Sandia Energy - PV Modeling & Analysis
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)Geothermal Energy &WaterNew CREWOnline Abstracts andPV Modeling &
Thermorheological properties of nanostructured dispersions
Gordon, Jeremy B
2007-01-01
Nanostructured dispersions, which consist of nanometer-sized particles, tubes, sheets, or droplets that are dispersed in liquids, have exhibited substantially higher thermal conductivities over those of the liquids alone. ...
Dispersivity estimates from a tracer experiment in a sandy aquifer
Mallants, D.; Espino, A.; Van Hoorick, M.; Feyen, J.; Vandenberghe, N.; Loy, W.
2000-04-01
The success or failure of transport models in predicting the migration of a contaminant plume is ground water depends to a large extent on the quality of flow and transport parameters used. In this study, the authors investigate the spatial variability in the tracer velocity and dispersivity in a shallow sandy aquifer in northern Belgium. Based on hydraulic conductivity measurements on cores sampled along a vertical profile, the aquifer was found to be mildly heterogeneous, i.e., with the variance of the log-transformed conductivity K, {sigma}{sup 2}{sub lnK}, equal to 0.22. By means of a natural gradient tracer experiment, transport of a chloride tracer was investigated in a three-dimensional network of multilevel point samplers (MLS). Least squares fitting of a two-dimensional transport model to the individual breakthrough curves resulted in an average longitudinal dispersivity that was 10 times larger than the transverse dispersivity. The results further showed the existence of a dispersion-scale effect whereby the depth-averaged longitudinal dispersivity increases with increasing travel distance. The average longitudinal dispersivity corresponding to a travel distance of 10 m was equal to 0.2 m. The authors finally show that theoretical expressions for the macroscopic dispersivity tensor, which require input on hydraulic conductivity heterogeneity, could be used here to approximate the observed dispersive behavior. These conceptually simple models are useful to estimate macroscopic dispersivities when no tracer data are available.
Nozzle for electric dispersion reactor
Sisson, Warren G. (Oak Ridge, TN); Harris, Michael T. (Knoxville, TN); Scott, Timothy C. (Knoxville, TN); Basaran, Osman A. (Oak Ridge, TN)
1996-01-01
A nozzle for an electric dispersion reactor includes two coaxial cylindrical bodies, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode.
Nozzle for electric dispersion reactor
Sisson, Warren G. (Oak Ridge, TN); Basaran, Osman A. (Oak Ridge, TN); Harris, Michael T. (Knoxville, TN)
1998-01-01
A nozzle for an electric dispersion reactor includes two concentric electrodes, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode.
Nozzle for electric dispersion reactor
Sisson, Warren G. (Oak Ridge, TN); Harris, Michael T. (Knoxville, TN); Scott, Timothy C. (Knoxville, TN); Basaran, Osman A. (Oak Ridge, TN)
1998-01-01
A nozzle for an electric dispersion reactor includes two coaxial cylindrical bodies, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode.
Nozzle for electric dispersion reactor
Sisson, W.G.; Harris, M.T.; Scott, T.C.; Basaran, O.A.
1996-04-02
A nozzle for an electric dispersion reactor includes two coaxial cylindrical bodies, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode. 5 figs.
Nozzle for electric dispersion reactor
Sisson, W.G.; Harris, M.T.; Scott, T.C.; Basaran, O.A.
1998-06-02
A nozzle for an electric dispersion reactor includes two coaxial cylindrical bodies, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode. 5 figs.
Nozzle for electric dispersion reactor
Sisson, W.G.; Basaran, O.A.; Harris, M.T.
1998-04-14
A nozzle for an electric dispersion reactor includes two concentric electrodes, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode. 4 figs.
Nozzle for electric dispersion reactor
Sisson, W.G.; Basaran, O.A.; Harris, M.T.
1995-11-07
A nozzle for an electric dispersion reactor includes two concentric electrodes, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode. 4 figs.
Nozzle for electric dispersion reactor
Sisson, Warren G. (Oak Ridge, TN); Basaran, Osman A. (Oak Ridge, TN); Harris, Michael T. (Knoxville, TN)
1995-01-01
A nozzle for an electric dispersion reactor includes two concentric electrodes, the inner one of the two delivering disperse phase fluid into a continuous phase fluid. A potential difference generated by a voltage source creates a dispersing electric field at the end of the inner electrode.
A model waste analysis plan for commercial BIF facilities
Gossmann, D.; Woodford, J.
1997-12-31
EPA`s guidance, to date, of Waste Analysis Plans has failed to provide specific recommendations for the special needs of commercial BIF facilities. EPA has instead focused primarily on traditional incinerator and landfill options for hazardous waste management. In order to fill this gap, a model waste analysis plan for commercial BIF facilities is developed along with the rationale for key features. 5 tabs.
On two-sample data analysis by exponential model
Choi, Sujung
2005-11-01
............... 49 5.1.Introduction......................... 49 5.2. Radon Cancer Data . . . . . . . . . . . . . . . . . . . . . 49 5.3. Explanatory Data Analysis . . . . . . . . . . . . . . . . . 51 5.4. Two-sample Data Analysis Using Exponential Model Approach... .......................... 51 5.5. Summary and Discussion: Radon Cancer Data . . . . . . 53 5.6. Simulation Results . . . . . . . . . . . . . . . . . . . . . 63 5.6.1. Case 1: Same Distributions, Same Locations, andSameScales................... 65 5.6.2. Case 2: Same Locations...
Sensitivity analysis of the fission gas behavior model in BISON.
Swiler, Laura Painton; Pastore, Giovanni; Perez, Danielle; Williamson, Richard
2013-05-01
This report summarizes the result of a NEAMS project focused on sensitivity analysis of a new model for the fission gas behavior (release and swelling) in the BISON fuel performance code of Idaho National Laboratory. Using the new model in BISON, the sensitivity of the calculated fission gas release and swelling to the involved parameters and the associated uncertainties is investigated. The study results in a quantitative assessment of the role of intrinsic uncertainties in the analysis of fission gas behavior in nuclear fuel.
Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis
Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.
2014-01-01
ESL-PA-14-07-03 Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis Authors: Sandeep Kota; Jeff S. Haberl, Ph.D.; Mark J. Clayton, Ph.D.; Wei Yan, Ph.D. Corresponding Author: Wei Yan, Ph.D. Telephone: 1 979 8450584.... Email: wyan@tamu.edu Department of Architecture, Texas A&M University, College Station, Texas. ESL-PA-14-07-03 Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis Abstract: Daylighting is an important aspect...
Liquid-glass Transition in Charge-stabilized Colloidal Dispersions
Liquid-glass Transition in Charge-stabilized Colloidal Dispersions S.K. Lai, G.F. Wang and W Abstract. We model the inter-colloidal interactions in a charge-stabilized col- loidal dispersion by a hard the loci of the liquid-glass transition phase boundary for a salt-free suspension of charged colloids
Uncertainty and sensitivity analysis for photovoltaic system modeling.
Hansen, Clifford W.; Pohl, Andrew Phillip; Jordan, Dirk
2013-12-01
We report an uncertainty and sensitivity analysis for modeling DC energy from photovoltaic systems. We consider two systems, each comprised of a single module using either crystalline silicon or CdTe cells, and located either at Albuquerque, NM, or Golden, CO. Output from a PV system is predicted by a sequence of models. Uncertainty in the output of each model is quantified by empirical distributions of each model's residuals. We sample these distributions to propagate uncertainty through the sequence of models to obtain an empirical distribution for each PV system's output. We considered models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane-of-array irradiance; (2) estimate effective irradiance from plane-of-array irradiance; (3) predict cell temperature; and (4) estimate DC voltage, current and power. We found that the uncertainty in PV system output to be relatively small, on the order of 1% for daily energy. Four alternative models were considered for the POA irradiance modeling step; we did not find the choice of one of these models to be of great significance. However, we observed that the POA irradiance model introduced a bias of upwards of 5% of daily energy which translates directly to a systematic difference in predicted energy. Sensitivity analyses relate uncertainty in the PV system output to uncertainty arising from each model. We found that the residuals arising from the POA irradiance and the effective irradiance models to be the dominant contributors to residuals for daily energy, for either technology or location considered. This analysis indicates that efforts to reduce the uncertainty in PV system output should focus on improvements to the POA and effective irradiance models.
PACKAGE IMPACT MODELS AS A PRECURSOR TO CLADDING ANALYSIS
Klymyshyn, Nicholas A.; Adkins, Harold E.; Bajwa, Christopher S.; Piotter, Jason
2013-02-01
The evaluation of spent nuclear fuel storage casks and transportation packages under impact loading is an important safety topic that is reviewed as part of cask and package certification by the United States Nuclear Regulatory Commission. Explicit dynamic finite element models of full systems are increasingly common in industry for determining structural integrity during hypothetical drop accidents. Full cask and package model results are also used as the loading basis for single fuel pin impact models, which evaluate the response of fuel cladding under drop conditions. In this paper, a simplified package system is evaluated to illustrate several important structural dynamic phenomena, including the effect of gaps between components, the difference in local response at various points on a package during impact, and the effect of modeling various simplified representations of the basket and fuel assemblies. This paper focuses on the package impact analysis, and how loading conditions for a subsequent fuel assembly or fuel cladding analysis can be extracted.
The integration of dispersed asylum seekers in Glasgow
Rosenberg, Alexandra
This thesis is an analysis of the integration of dispersed asylum seekers in Glasgow. It is a qualitative case study that uses data from participant observation with community groups, interviews with asylum seekers and ...
Phase space analysis of some interacting Chaplygin gas models
M. Khurshudyan; R. Myrzakulov
2015-09-08
The goal of this paper is to discuss phase space analysis of some interacting Chaplygin gas models in General Relativity. Chaplygin gas is one of the fluids actively considered in modern cosmology due to the fact that it is a joint model of dark energy and dark matter. In this paper we have considered various forms of interaction term Q including linear and non linear sign changeable interactions. For each case late time attractors for the field equations are found.
Water Rights Analysis Package (WRAP) Daily Modeling System
Wurbs, R.; Hoffpauir, R.
2012-10-01
Modeling System TR-430 Texas Water Resources Institute College Station, Texas August 2012 by Ralph A. Wurbs and Richard J. Hoffpauir Texas A&M University Water Rights Analysis Package (WRAP) Daily Modeling System...-9-89809 (2008-2011) Contract 582-12-10220 (2011-2013) Technical Report No. 430 Texas Water Resources Institute The Texas A&M University System College Station, Texas 77843-2118 August 2012 ii iii TABLE OF CONTENTS Chapter 1 Water...
Network and adaptive system of systems modeling and analysis.
Lawton, Craig R.; Campbell, James E. Dr.; Anderson, Dennis James; Eddy, John P.
2007-05-01
This report documents the results of an LDRD program entitled ''Network and Adaptive System of Systems Modeling and Analysis'' that was conducted during FY 2005 and FY 2006. The purpose of this study was to determine and implement ways to incorporate network communications modeling into existing System of Systems (SoS) modeling capabilities. Current SoS modeling, particularly for the Future Combat Systems (FCS) program, is conducted under the assumption that communication between the various systems is always possible and occurs instantaneously. A more realistic representation of these communications allows for better, more accurate simulation results. The current approach to meeting this objective has been to use existing capabilities to model network hardware reliability and adding capabilities to use that information to model the impact on the sustainment supply chain and operational availability.
Wind energy conversion system analysis model (WECSAM) computer program documentation
Downey, W T; Hendrick, P L
1982-07-01
Described is a computer-based wind energy conversion system analysis model (WECSAM) developed to predict the technical and economic performance of wind energy conversion systems (WECS). The model is written in CDC FORTRAN V. The version described accesses a data base containing wind resource data, application loads, WECS performance characteristics, utility rates, state taxes, and state subsidies for a six state region (Minnesota, Michigan, Wisconsin, Illinois, Ohio, and Indiana). The model is designed for analysis at the county level. The computer model includes a technical performance module and an economic evaluation module. The modules can be run separately or together. The model can be run for any single user-selected county within the region or looped automatically through all counties within the region. In addition, the model has a restart capability that allows the user to modify any data-base value written to a scratch file prior to the technical or economic evaluation. Thus, any user-supplied data for WECS performance, application load, utility rates, or wind resource may be entered into the scratch file to override the default data-base value. After the model and the inputs required from the user and derived from the data base are described, the model output and the various output options that can be exercised by the user are detailed. The general operation is set forth and suggestions are made for efficient modes of operation. Sample listings of various input, output, and data-base files are appended. (LEW)
Dispersion of Passive Tracers in the Surfzone
Fedderson, Falk; Guza, Robert T.
2007-01-01
Dispersion of passive tracers in the surfzone Feddersen andThe dispersion of passive tracers, such as pollutants, in
Multi-State Load Models for Distribution System Analysis
Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P.
2011-11-01
Recent work in the field of distribution system analysis has shown that the traditional method of peak load analysis is not adequate for the analysis of emerging distribution system technologies. Voltage optimization, demand response, electric vehicle charging, and energy storage are examples of technologies with characteristics having daily, seasonal, and/or annual variations. In addition to the seasonal variations, emerging technologies such as demand response and plug in electric vehicle charging have the potential to send control signals to the end use loads which will affect how they consume energy. In order to support time-series analysis over different time frames and to incorporate potential control signal inputs it is necessary to develop detailed end use load models which accurately represent the load under various conditions, and not just during the peak load period. This paper will build on previous work on detail end use load modeling in order to outline the method of general multi-state load models for distribution system analysis.
VHTR Prismatic Super Lattice Model for Equilibrium Fuel Cycle Analysis
G. S. Chang
2006-09-01
The advanced Very High Temperature gas-cooled Reactor (VHTR), which is currently being developed, achieves simplification of safety through reliance on innovative features and passive systems. One of the VHTRs innovative features is the reliance on ceramic-coated fuel particles to retain the fission products under extreme accident conditions. The effect of the random fuel kernel distribution in the fuel prismatic block is addressed through the use of the Dancoff correction factor in the resonance treatment. However, if the fuel kernels are not perfect black absorbers, the Dancoff correction factor is a function of burnup and fuel kernel packing factor, which requires that the Dancoff correction factor be updated during Equilibrium Fuel Cycle (EqFC) analysis. An advanced Kernel-by-Kernel (K-b-K) hexagonal super lattice model can be used to address and update the burnup dependent Dancoff effect during the EqFC analysis. The developed Prismatic Super Homogeneous Lattice Model (PSHLM) is verified by comparing the calculated burnup characteristics of the double-heterogeneous Prismatic Super Kernel-by-Kernel Lattice Model (PSK-b-KLM). This paper summarizes and compares the PSHLM and PSK-b-KLM burnup analysis study and results. This paper also discusses the coupling of a Monte-Carlo code with fuel depletion and buildup code, which provides the fuel burnup analysis tool used to produce the results of the VHTR EqFC burnup analysis.
Settlement Prediction, Gas Modeling and Slope Stability Analysis
Politècnica de Catalunya, Universitat
Settlement Prediction, Gas Modeling and Slope Stability Analysis in Coll Cardús Landfill Li Yu UNIVERSIDAD POLITÉCNICA DE CATALUÑA April, 2007 GEOMODELS #12;Introduction to Coll Cardús landfill Prediction of settlement in Coll Cardús landfill 1) Settlement prediction by empirical method 2) Settlement prediction
Modelling and Analysis of Phase Variation in Bacterial Colony Growth
Gilbert, David
Modelling and Analysis of Phase Variation in Bacterial Colony Growth Ovidiu P^arvu1 , David Gilbert, Brandenburg University of Technology monika.heiner@informatik.tu-cottbus.de 3 Harbin Institute of Technology case study, namely phase variation patterning in bacterial colony growth, forming circular colonies
Thermodynamics cycle analysis and numerical modeling of thermoelastic cooling systems
Rubloff, Gary W.
Thermodynamics cycle analysis and numerical modeling of thermoelastic cooling systems Suxin Qian level. However, a thermoelastic cooling system integrated with heat transfer fluid loops have not been;2012) (a.k.a. elastocaloric cooling). These solid-state cooling systems offer us alternatives to eliminate
Numerical modelling and analysis of a room temperature magnetic
and analysis of a room temperature magnetic refrigeration system Department: Fuel Cells and Solid State are separated by channels of a heat transfer fluid. The time-dependent model solves the momentum and continuity equations of the flow of the heat transfer fluid and the coupled energy equations of the heat transfer
Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors
Juusola, Mikko
describe accurately the observed adaptation process at each new level of changing light inputs. GeneralizedData Modelling for Analysis of Adaptive Changes in Fly Photoreceptors Uwe Friederich1,2 , Daniel://www.shef.ac.uk/acse Abstract. Adaptation is a hallmark of sensory processing. We studied neural adaptation in intracellular
Thermal effects in adhesive contact: modelling and analysis Elena Bonetti
Rossi, Riccarda
Thermal effects in adhesive contact: modelling and analysis Elena Bonetti , Giovanna Bonfanti , Riccarda Rossi Abstract In this paper, we consider a contact problem with adhesion between a viscoelastic equations, describing the evolution of the temperatures of the body and of the adhesive material. Our main
Model-Based Dependability Analysis of Programmable Drug Infusion Pumps
Sankaranarayanan, Sriram
Model-Based Dependability Analysis of Programmable Drug Infusion Pumps Sriram Sankaranarayanan.lastname@colorado.edu Abstract. Infusion pumps are commonly used in home/hospital care to inject drugs into a patient a case-study involving an infusion pump used to manage pain through the infusion of analgesic drugs
Waste-To-Energy Feasibility Analysis: A Simulation Model
Sekhon, Jasjeet S.
Waste- To- Energy Feasibility Analysis: A Simulation Model Viet- An Duong College of Engineering://www.funginstitute.berkeley.edu/sites/default/ les/WasteToEnergy.pdf May 1, 2014 130 Blum Hall #5580 Berkeley, CA 94720-5580 | (510) 664-4337 | www-4337 | www.funginstitute.berkeley.edu #12;Abstract: The search for renewable and clean energies is one
Atmospheric Dispersion Lecture Atmospheric Local-Scale Dispersion Modelling.
heterogeneous temperature and pressure fields. Local heat flux depends on the position of the point to the sun-resting global circulation of air masses is the unequal distribution of solar heat flux to the earth surface). The temperature depends on the heat transfer and capacity characteristics of the surface (sea, soil, desert
Analysis of a chaotic spiking neural model: The NDS neuron
Mohammad Alhawarat; Waleed Nazih; Mohammad Eldesouki
2014-08-16
Further analysis and experimentation is carried out in this paper for a chaotic dynamic model, viz. the Nonlinear Dynamic State neuron (NDS). The analysis and experimentations are performed to further understand the underlying dynamics of the model and enhance it as well. Chaos provides many interesting properties that can be exploited to achieve computational tasks. Such properties are sensitivity to initial conditions, space filling, control and synchronization.Chaos might play an important role in information processing tasks in human brain as suggested by biologists. If artificial neural networks (ANNs) is equipped with chaos then it will enrich the dynamic behaviours of such networks. The NDS model has some limitations and can be overcome in different ways. In this paper different approaches are followed to push the boundaries of the NDS model in order to enhance it. One way is to study the effects of scaling the parameters of the chaotic equations of the NDS model and study the resulted dynamics. Another way is to study the method that is used in discretization of the original R\\"{o}ssler that the NDS model is based on. These approaches have revealed some facts about the NDS attractor and suggest why such a model can be stabilized to large number of unstable periodic orbits (UPOs) which might correspond to memories in phase space.
Infiltration modeling guidelines for commercial building energy analysis
Gowri, Krishnan; Winiarski, David W.; Jarnagin, Ronald E.
2009-09-30
This report presents a methodology for modeling air infiltration in EnergyPlus to account for envelope air barrier characteristics. Based on a review of various infiltration modeling options available in EnergyPlus and sensitivity analysis, the linear wind velocity coefficient based on DOE-2 infiltration model is recommended. The methodology described in this report can be used to calculate the EnergyPlus infiltration input for any given building level infiltration rate specified at known pressure difference. The sensitivity analysis shows that EnergyPlus calculates the wind speed based on zone altitude, and the linear wind velocity coefficient represents the variation in infiltration heat loss consistent with building location and weather data.
Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K. R.; Venkatesh, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wi
2009-09-01
Energy system modeling can be intentionally or unintentionally misused by decision-makers. This report describes how both can be minimized through careful use of models and thorough understanding of their underlying approaches and assumptions. The analysis summarized here assesses the impact that model and data choices have on forecasting energy systems by comparing seven different electric-sector models. This analysis was coordinated by the Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP), a collaboration among governmental, academic, and nongovernmental participants.
Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K. R.; Venkatesh, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.
2009-09-01
Energy system modeling can be intentionally or unintentionally misused by decision-makers. This report describes how both can be minimized through careful use of models and thorough understanding of their underlying approaches and assumptions. The analysis summarized here assesses the impact that model and data choices have on forecasting energy systems by comparing seven different electric-sector models. This analysis was coordinated by the Renewable Energy and Efficiency Modeling Analysis Partnership (REMAP), a collaboration among governmental, academic, and nongovernmental participants.
A Linear Circuit Model For Social Influence Analysis
Xiang, Biao; Liu, Qi; Xiong, Hui
2012-01-01
Understanding the behaviors of information propagation is essential for the effective exploitation of social influence in social networks. However, few existing influence models are both tractable and efficient for describing the information propagation process and quantitatively measuring social influence. To this end, in this paper, we develop a linear social influence model, named Circuit due to its close relation to the circuit network. Based on the predefined four axioms of social influence, we first demonstrate that our model can efficiently measure the influence strength between any pair of nodes. Along this line, an upper bound of the node(s)' influence is identified for potential use, e.g., reducing the search space. Furthermore, we provide the physical implication of the Circuit model and also a deep analysis of its relationships with the existing methods, such as PageRank. Then, we propose that the Circuit model provides a natural solution to the problems of computing each single node's authority a...
Formal Modelling and Analysis of Business Information Applications with Fault Tolerant Middleware
Southampton, University of
COMPUTING SCIENCE Formal Modelling and Analysis of Business Information Applications with Fault to prove properties of models of business protocols and expose weaknesses of certain middleware.. Formal Modelling and Analysis of Business Information Applications with Fault Tolerant Middleware [By] J
On the Numerical Dispersion of Electromagnetic Particle-In-Cell Code : Finite Grid Instability
Meyers, Michael David; Huang, Chengkun; Zeng, Yong; Yi, Sunghwan; Albright, Brian James
2014-07-15
The Particle-In-Cell (PIC) method is widely used in relativistic particle beam and laser plasma modeling. However, the PIC method exhibits numerical instabilities that can render unphysical simulation results or even destroy the simulation. For electromagnetic relativistic beam and plasma modeling, the most relevant numerical instabilities are the finite grid instability and the numerical Cherenkov instability. We review the numerical dispersion relation of the electromagnetic PIC algorithm to analyze the origin of these instabilities. We rigorously derive the faithful 3D numerical dispersion of the PIC algorithm, and then specialize to the Yee FDTD scheme. In particular, we account for the manner in which the PIC algorithm updates and samples the fields and distribution function. Temporal and spatial phase factors from solving Maxwell's equations on the Yee grid with the leapfrog scheme are also explicitly accounted for. Numerical solutions to the electrostatic-like modes in the 1D dispersion relation for a cold drifting plasma are obtained for parameters of interest. In the succeeding analysis, we investigate how the finite grid instability arises from the interaction of the numerical 1D modes admitted in the system and their aliases. The most significant interaction is due critically to the correct representation of the operators in the dispersion relation. We obtain a simple analytic expression for the peak growth rate due to this interaction.
Integration of Facility Modeling Capabilities for Nuclear Nonproliferation Analysis
Humberto E. Garcia
2012-01-01
Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modeling tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.
INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS
Gorensek, M.; Hamm, L.; Garcia, H.; Burr, T.; Coles, G.; Edmunds, T.; Garrett, A.; Krebs, J.; Kress, R.; Lamberti, V.; Schoenwald, D.; Tzanos, C.; Ward, R.
2011-07-18
Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modeling tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.
Detailed End Use Load Modeling for Distribution System Analysis
Schneider, Kevin P.; Fuller, Jason C.
2010-04-09
The field of distribution system analysis has made significant advances in the past ten years. It is now standard practice when performing a power flow simulation to use an algorithm that is capable of unbalanced per-phase analysis. Recent work has also focused on examining the need for time-series simulations instead of examining a single time period, i.e., peak loading. One area that still requires a significant amount of work is the proper modeling of end use loads. Currently it is common practice to use a simple load model consisting of a combination of constant power, constant impedance, and constant current elements. While this simple form of end use load modeling is sufficient for a single point in time, the exact model values are difficult to determine and it is inadequate for some time-series simulations. This paper will examine how to improve simple time invariant load models as well as develop multi-state time variant models.
Investigation of Flow, Turbulence, and Dispersion within Built Environments
Pan, Hansheng
2011-01-01
Statistical Modeling for Analysis of Air Quality in UrbanStatistical Modeling for Analysis of Air Quality in Urban
Peer Review of NRC Standardized Plant Analysis Risk Models
Anthony Koonce; James Knudsen; Robert Buell
2011-03-01
The Nuclear Regulatory Commission (NRC) Standardized Plant Analysis Risk (SPAR) Models underwent a Peer Review using ASME PRA standard (Addendum C) as endorsed by NRC in Regulatory Guide (RG) 1.200. The review was performed by a mix of industry probabilistic risk analysis (PRA) experts and NRC PRA experts. Representative SPAR models, one PWR and one BWR, were reviewed against Capability Category I of the ASME PRA standard. Capability Category I was selected as the basis for review due to the specific uses/applications of the SPAR models. The BWR SPAR model was reviewed against 331 ASME PRA Standard Supporting Requirements; however, based on the Capability Category I level of review and the absence of internal flooding and containment performance (LERF) logic only 216 requirements were determined to be applicable. Based on the review, the BWR SPAR model met 139 of the 216 supporting requirements. The review also generated 200 findings or suggestions. Of these 200 findings and suggestions 142 were findings and 58 were suggestions. The PWR SPAR model was also evaluated against the same 331 ASME PRA Standard Supporting Requirements. Of these requirements only 215 were deemed appropriate for the review (for the same reason as noted for the BWR). The PWR review determined that 125 of the 215 supporting requirements met Capability Category I or greater. The review identified 101 findings or suggestions (76 findings and 25 suggestions). These findings or suggestions were developed to identify areas where SPAR models could be enhanced. A process to prioritize and incorporate the findings/suggestions supporting requirements into the SPAR models is being developed. The prioritization process focuses on those findings that will enhance the accuracy, completeness and usability of the SPAR models.
Radiolysis Model Sensitivity Analysis for a Used Fuel Storage Canister
Wittman, Richard S.
2013-09-20
This report fulfills the M3 milestone (M3FT-13PN0810027) to report on a radiolysis computer model analysis that estimates the generation of radiolytic products for a storage canister. The analysis considers radiolysis outside storage canister walls and within the canister fill gas over a possible 300-year lifetime. Previous work relied on estimates based directly on a water radiolysis G-value. This work also includes that effect with the addition of coupled kinetics for 111 reactions for 40 gas species to account for radiolytic-induced chemistry, which includes water recombination and reactions with air.
Modeling air pollution in the Tracking and Analysis Framework (TAF)
Shannon, J.D.
1998-12-31
The Tracking and Analysis Framework (TAF) is a set of interactive computer models for integrated assessment of the Acid Rain Provisions (Title IV) of the 1990 Clean Air Act Amendments. TAF is designed to execute in minutes on a personal computer, thereby making it feasible for a researcher or policy analyst to examine quickly the effects of alternate modeling assumptions or policy scenarios. Because the development of TAF involves researchers in many different disciplines, TAF has been given a modular structure. In most cases, the modules contain reduced-form models that are based on more complete models exercised off-line. The structure of TAF as of December 1996 is shown. Both the Atmospheric Pathways Module produce estimates for regional air pollution variables.
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models
Sarkar, Sudeep
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models Leonid V. Tsap finite element models. The method is based on the iterative analysis of the differences betweenÃPhysically-based vision, deformable models, nonrigid motion analysis, biomedical applications, finite element analysis. Ã¦
Solid waste integrated cost analysis model: 1991 project year report
Not Available
1991-01-01
The purpose of the City of Houston's 1991 Solid Waste Integrated Cost Analysis Model (SWICAM) project was to continue the development of a computerized cost analysis model. This model is to provide solid waste managers with tool to evaluate the dollar cost of real or hypothetical solid waste management choices. Those choices have become complicated by the implementation of Subtitle D of the Resources Conservation and Recovery Act (RCRA) and the EPA's Integrated Approach to managing municipal solid waste;. that is, minimize generation, maximize recycling, reduce volume (incinerate), and then bury (landfill) only the remainder. Implementation of an integrated solid waste management system involving all or some of the options of recycling, waste to energy, composting, and landfilling is extremely complicated. Factors such as hauling distances, markets, and prices for recyclable, costs and benefits of transfer stations, and material recovery facilities must all be considered. A jurisdiction must determine the cost impacts of implementing a number of various possibilities for managing, handling, processing, and disposing of waste. SWICAM employs a single Lotus 123 spreadsheet to enable a jurisdiction to predict or assess the costs of its waste management system. It allows the user to select his own process flow for waste material and to manipulate the model to include as few or as many options as he or she chooses. The model will calculate the estimated cost for those choices selected. The user can then change the model to include or exclude waste stream components, until the mix of choices suits the user. Graphs can be produced as a visual communication aid in presenting the results of the cost analysis. SWICAM also allows future cost projections to be made.
Energy conserving Anisotropic Anhysteretic Magnetic Modelling for Finite Element Analysis
Jens Krause
2012-12-20
To model ferromagnetic material in finite element analysis a correct description of the constitutive relationship (BH-law) must be found from measured data. This article proposes to use the energy density function as a centrepiece. Using this function, which turns out to be a convex function of the flux density, guarantees energy conservative modelling. The magnetic field strength can be seen as a derivative with respect to the flux density. Especially for anisotropic materials (from lamination and/or grain orientation) this method has advantages. Strictly speaking this method is only valid for anhysteretic and thermodynamically stable material.
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)
Not Available
2015-01-01
NREL has developed a tool -- the System Advisor Model (SAM) -- that can help decision makers analyze cost, performance, and financing of any size grid-connected solar, wind, or geothermal power project. Manufacturers, engineering and consulting firms, research and development firms, utilities, developers, venture capital firms, and international organizations use SAM for end-to-end analysis that helps determine whether and how to make investments in renewable energy projects.
Water Rights Analysis Package (WRAP) Modeling System Users Manual
Wurbs, Ralph A.
2005-01-01
System Users Manual by Ralph A. Wurbs Civil Engineering Department Texas A&M University TR-256 Texas Water Resources Institute College Station, Texas April 2005 Water Rights Analysis Package (WRAP) Modeling System Users Manual... The Texas A&M University System College Station, Texas 77843-2118 First Edition, August 2003 Second Edition, April 2005 Mention of a trademark or a proprietary product does not constitute a guarantee or a warranty of the product by the Texas...
Hydrogen Demand and Resource Analysis (HyDRA) Model
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool Fits the Bill FinancingDepartment ofPowerScenario Analysis Model (HDSAM)
Stochastic particle models and methods in risk analysis P. Del Moral (INRIA research team ALEA)
Del Moral , Pierre
Stochastic particle models and methods in risk analysis P. Del Moral (INRIA research team ALEA efficiency, food risk analysis, bacterial propagations. System reliability : production chains, offshore
Validation Analysis of the Shoal Groundwater Flow and Transport Model
A. Hassan; J. Chapman
2008-11-01
Environmental restoration at the Shoal underground nuclear test is following a process prescribed by a Federal Facility Agreement and Consent Order (FFACO) between the U.S. Department of Energy, the U.S. Department of Defense, and the State of Nevada. Characterization of the site included two stages of well drilling and testing in 1996 and 1999, and development and revision of numerical models of groundwater flow and radionuclide transport. Agreement on a contaminant boundary for the site and a corrective action plan was reached in 2006. Later that same year, three wells were installed for the purposes of model validation and site monitoring. The FFACO prescribes a five-year proof-of-concept period for demonstrating that the site groundwater model is capable of producing meaningful results with an acceptable level of uncertainty. The corrective action plan specifies a rigorous seven step validation process. The accepted groundwater model is evaluated using that process in light of the newly acquired data. The conceptual model of ground water flow for the Project Shoal Area considers groundwater flow through the fractured granite aquifer comprising the Sand Springs Range. Water enters the system by the infiltration of precipitation directly on the surface of the mountain range. Groundwater leaves the granite aquifer by flowing into alluvial deposits in the adjacent basins of Fourmile Flat and Fairview Valley. A groundwater divide is interpreted as coinciding with the western portion of the Sand Springs Range, west of the underground nuclear test, preventing flow from the test into Fourmile Flat. A very low conductivity shear zone east of the nuclear test roughly parallels the divide. The presence of these lateral boundaries, coupled with a regional discharge area to the northeast, is interpreted in the model as causing groundwater from the site to flow in a northeastward direction into Fairview Valley. Steady-state flow conditions are assumed given the absence of groundwater withdrawal activities in the area. The conceptual and numerical models were developed based upon regional hydrogeologic investigations conducted in the 1960s, site characterization investigations (including ten wells and various geophysical and geologic studies) at Shoal itself prior to and immediately after the test, and two site characterization campaigns in the 1990s for environmental restoration purposes (including eight wells and a year-long tracer test). The new wells are denoted MV-1, MV-2, and MV-3, and are located to the northnortheast of the nuclear test. The groundwater model was generally lacking data in the north-northeastern area; only HC-1 and the abandoned PM-2 wells existed in this area. The wells provide data on fracture orientation and frequency, water levels, hydraulic conductivity, and water chemistry for comparison with the groundwater model. A total of 12 real-number validation targets were available for the validation analysis, including five values of hydraulic head, three hydraulic conductivity measurements, three hydraulic gradient values, and one angle value for the lateral gradient in radians. In addition, the fracture dip and orientation data provide comparisons to the distributions used in the model and radiochemistry is available for comparison to model output. Goodness-of-fit analysis indicates that some of the model realizations correspond well with the newly acquired conductivity, head, and gradient data, while others do not. Other tests indicated that additional model realizations may be needed to test if the model input distributions need refinement to improve model performance. This approach (generating additional realizations) was not followed because it was realized that there was a temporal component to the data disconnect: the new head measurements are on the high side of the model distributions, but the heads at the original calibration locations themselves have also increased over time. This indicates that the steady-state assumption of the groundwater model is in error. To test the robustness of the model d
Comparative analysis of existing models for power-grid synchronization
Nishikawa, Takashi
2015-01-01
The dynamics of power-grid networks is becoming an increasingly active area of research within the physics and network science communities. The results from such studies are typically insightful and illustrative, but are often based on simplifying assumptions that can be either difficult to assess or not fully justified for realistic applications. Here we perform a comprehensive comparative analysis of three leading models recently used to study synchronization dynamics in power-grid networks -- a fundamental problem of practical significance given that frequency synchronization of all power generators in the same interconnection is a necessary condition for a power grid to operate. We show that each of these models can be derived from first principles within a common framework based on the classical model of a generator, thereby clarifying all assumptions involved. This framework allows us to view power grids as complex networks of coupled second-order phase oscillators with both forcing and damping terms. U...
de Weck, Olivier L.
System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After;System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies Developing new aftertreatment technologies to meet emission regulations for diesel engines is a growing
New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants January 31, 2012 - 2:09pm Addthis The...
Advanced Combustion/Modeling and Analysis Toward HCCI/PCCI in...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
CombustionModeling and Analysis Toward HCCIPCCI in a 60% Efficient Free-Piston Engine Advanced CombustionModeling and Analysis Toward HCCIPCCI in a 60% Efficient Free-Piston...
Critical Updates to the Hydrogen Analysis Production Model (H2A...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Critical Updates to the Hydrogen Analysis Production Model (H2A v3) Presentation slides from the February 8,...
Responsibility Modelling for Risk Analysis Russell Lock, Tim Storer & Ian Sommerville
Sommerville, Ian
Responsibility Modelling for Risk Analysis Russell Lock, Tim Storer & Ian Sommerville School INTRODUCTION Existing risk analysis techniques commonly focus on the interaction of technical aspects election process. We believe Responsibilities are a natural form of expression for risk analysis within
THE EFFECT OF TRANSVERSE MIXING ON TRACER DISPERSION
Stanford University
Hardware Data Acquisition And Analysis Software Experimental Procedure Analysis Procedure Results: Taylor. The theoretical response for linear Taylor dispersion was matched to the data to determine the non-linear Of Tracer Valve Constant-pressure Reservoir Design Schematic Drawing Of Electrode Circuit Results: Run 16
Synchrony of Seed Dispersal, Hydrology and Local Climate in a
Battles, John
as a model system, we quantified and modeled propa- gule availability for Populus fremontii (POFR), Salix gooddingii (SAGO), and Salix exigua (SAEX), the tree and shrub species that dominate near-channel riparian: phenology; seed dispersal; degree- day model; seed longevity; germination; Populus; Salix; seedling
Short communication Study of pollution dispersion in urban areas using
Yu, Peter K.N.
wind directions and wind speeds. 2. Model validation The developed models have to be verified before they can be applied to real life simulations. To test the performance of the present wind field modelShort communication Study of pollution dispersion in urban areas using Computational Fluid Dynamics
Bak, Claus Leth
Aalborg Universitet Harmonic Resonances in Wind Power Plants: Modeling, Analysis and Active. (2015). Harmonic Resonances in Wind Power Plants: Modeling, Analysis and Active Mitigation Methods from vbn.aau.dk on: juli 04, 2015 #12;Harmonic Resonances in Wind Power Plants: Modeling, Analysis
Aalborg Universitet Model Order Reductions for Stability Analysis of Islanded Microgrids with Droop
Vasquez, Juan Carlos
Aalborg Universitet Model Order Reductions for Stability Analysis of Islanded Microgrids with Droop. C., & Guerrero, J. M. (2015). Model Order Reductions for Stability Analysis of Islanded Microgrids.aau.dk on: juli 07, 2015 #12;1 Model Order Reductions for Stability Analysis of Islanded Microgrids
Motility of a Model Bristle-Bot: a Theoretical Analysis
Giancarlo Cicconofri; Antonio DeSimone
2014-10-22
Bristle-bots are legged robots that can be easily made out of a toothbrush head and a small vibrating engine. Despite their simple appearance, the mechanism enabling them to propel themselves by exploiting friction with the substrate is far from trivial. Numerical experiments on a model bristle-bot have been able to reproduce such a mechanism revealing, in addition, the ability to switch direction of motion by varying the vibration frequency. This paper provides a detailed account of these phenomena through a fully analytical treatment of the model. The equations of motion are solved through an expansion in terms of a properly chosen small parameter. The convergence of the expansion is rigorously proven. In addition, the analysis delivers formulas for the average velocity of the robot and for the frequency at which the direction switch takes place. A quantitative description of the mechanism for the friction modulation underlying the motility of the bristle-bot is also provided.
Material model calibration through indentation test and stochastic inverse analysis
Buljak, Vladimir
2015-01-01
Indentation test is used with growing popularity for the characterization of various materials on different scales. Developed methods are combining the test with computer simulation and inverse analyses to assess material parameters entering into constitutive models. The outputs of such procedures are expressed as evaluation of sought parameters in deterministic sense, while for engineering practice it is desirable to assess also the uncertainty which affects the final estimates resulting from various sources of errors within the identification procedure. In this paper an experimental-numerical method is presented centered on inverse analysis build upon data collected from the indentation test in the form of force-penetration relationship (so-called indentation curve). Recursive simulations are made computationally economical by an a priori model reduction procedure. Resulting inverse problem is solved in a stochastic context using Monte Carlo simulations and non-sequential Extended Kalman filter. Obtained re...
Power-law Spatial Dispersion from Fractional Liouville Equation
Vasily E. Tarasov
2013-07-18
A microscopic model in the framework of fractional kinetics to describe spatial dispersion of power-law type is suggested. The Liouville equation with the Caputo fractional derivatives is used to obtain the power-law dependence of the absolute permittivity on the wave vector. The fractional differential equations for electrostatic potential in the media with power-law spatial dispersion are derived. The particular solutions of these equations for the electric potential of point charge in this media are considered.
Power-law spatial dispersion from fractional Liouville equation
Tarasov, Vasily E. [Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119991 (Russian Federation)] [Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119991 (Russian Federation)
2013-10-15
A microscopic model in the framework of fractional kinetics to describe spatial dispersion of power-law type is suggested. The Liouville equation with the Caputo fractional derivatives is used to obtain the power-law dependence of the absolute permittivity on the wave vector. The fractional differential equations for electrostatic potential in the media with power-law spatial dispersion are derived. The particular solutions of these equations for the electric potential of point charge in this media are considered.
Nonstandard Analysis Applied to Advanced Undergraduate Mathematics - Infinitesimal Modeling
Robert A. Herrmann
2007-12-02
This is a Research and Instructional Development Project from the U. S. Naval Academy. In this monograph, the basic methods of nonstandard analysis for n-dimensional Euclidean spaces are presented. Specific rules are deveoped and these methods and rules are applied to rigorous integral and differential modeling. The topics include Robinson infinitesimals, limited and infinite numbers; convergence theory, continuity, *-transfer, internal definition, hyprefinite summation, Riemann-Stieltjes integration over Jordan-measurable regions; modeling with integrals via Infinite Sum Theorems; the nonstandard integral modeling rules - the method of constants, the methods of max. and min., and the hyperfinite sum; pure infinitesimal integral modeling via geometric elements; microgeometry, line and surface integrals, gauge integrals, fluxions and their relations to dynamic geometry. These rigorous results are also applied to lengths of curves, areas and volumes for Jordan-measurable regions, incompressible fluids, moments of inertia, electric field vectors, force fields and very elementary physics. Also presented are rigorous differential derivations for the partial differential equations for internal heat transfer and the vibrating membrane. All results are rigorously established and, mostly, all proofs appear in the appendix.
Parallel and Statistical Analysis and Modeling of Nanometer VLSI Systems
Liu, Xue-Xin
2013-01-01
for reduced order analysis of linear circuit with multipleWorst case analysis of linear analog circuit performancelinear analog circuits under parameter variations by robust interval analysis.
Modeling capsid self-assembly: Design and analysis
D. C. Rapaport
2010-06-22
A series of simulations aimed at elucidating the self-assembly dynamics of spherical virus capsids is described. This little-understood phenomenon is a fascinating example of the complex processes that occur in the simplest of organisms. The fact that different viruses adopt similar structural forms is an indication of a common underlying design, motivating the use of simplified, low-resolution models in exploring the assembly process. Several versions of a molecular dynamics approach are described. Polyhedral shells of different sizes are involved, the assembly pathways are either irreversible or reversible, and an explicit solvent is optionally included. Model design, simulation methodology and analysis techniques are discussed. The analysis focuses on the growth pathways and the nature of the intermediate states, properties that are hard to access experimentally. Among the key observations are that efficient growth proceeds by means of a cascade of highly reversible stages, and that while there are a large variety of possible partial assemblies, only a relatively small number of strongly bonded configurations are actually encountered.
Yield Modeling and Analysis of a Clockless Asynchronous Wave Pipeline with Pulse Faults
Ayers, Joseph
Yield Modeling and Analysis of a Clockless Asynchronous Wave Pipeline with Pulse Faults T. Feng fault model and its modeling and analysis methods in a clockless asynchronous wave pipeline fault rate model for establishing a sound theoretical foundation for clockless wave pipeline design
Carbajo, Juan; Jeong, Hae-Yong; Wigeland, Roald; Corradini, Michael; Schmidt, Rodney Cannon; Thomas, Justin; Wei, Tom; Sofu, Tanju; Ludewig, Hans; Tobita, Yoshiharu; Ohshima, Hiroyuki; Serre, Frederic
2011-06-01
This report summarizes the results of an expert-opinion elicitation activity designed to qualitatively assess the status and capabilities of currently available computer codes and models for accident analysis and reactor safety calculations of advanced sodium fast reactors, and identify important gaps. The twelve-member panel consisted of representatives from five U.S. National Laboratories (SNL, ANL, INL, ORNL, and BNL), the University of Wisconsin, the KAERI, the JAEA, and the CEA. The major portion of this elicitation activity occurred during a two-day meeting held on Aug. 10-11, 2010 at Argonne National Laboratory. There were two primary objectives of this work: (1) Identify computer codes currently available for SFR accident analysis and reactor safety calculations; and (2) Assess the status and capability of current US computer codes to adequately model the required accident scenarios and associated phenomena, and identify important gaps. During the review, panel members identified over 60 computer codes that are currently available in the international community to perform different aspects of SFR safety analysis for various event scenarios and accident categories. A brief description of each of these codes together with references (when available) is provided. An adaptation of the Predictive Capability Maturity Model (PCMM) for computational modeling and simulation is described for use in this work. The panel's assessment of the available US codes is presented in the form of nine tables, organized into groups of three for each of three risk categories considered: anticipated operational occurrences (AOOs), design basis accidents (DBA), and beyond design basis accidents (BDBA). A set of summary conclusions are drawn from the results obtained. At the highest level, the panel judged that current US code capabilities are adequate for licensing given reasonable margins, but expressed concern that US code development activities had stagnated and that the experienced user-base and the experimental validation base was decaying away quickly.
RIVERWARE'S INTEGRATED MODELING AND ANALYSIS TOOLS FOR LONG-TERM PLANNING UNDER UNCERTAINTY
RIVERWARE'S INTEGRATED MODELING AND ANALYSIS TOOLS FOR LONG- TERM PLANNING UNDER UNCERTAINTY and reservoir operations under hydrologic uncertainty benefits from modeling capabilities that include 1-objective river and reservoir modeling tool that can represent various planning alternatives and easily run
Babiker, Mustafa H.M.; Reilly, John M.; Mayer, Monika.; Eckaus, Richard S.; Sue Wing, Ian.; Hyman, Robert C.
The Emissions Prediction and Policy Analysis (EPPA) model is a component of the MIT Integrated Earth Systems Model (IGSM). Here, we provide an overview of the model accessible to a broad audience and present the detailed ...
A Forward Looking Version of the MIT Emissions Prediction and Policy Analysis (EPPA) Model
Babiker, Mustafa M.H.
This paper documents a forward looking multi-regional general equilibrium model developed from the latest version of the recursive-dynamic MIT Emissions Prediction and Policy Analysis (EPPA) model. The model represents ...
The MIT Emissions Prediction and Policy Analysis (EPPA) Model: Version 4
Paltsev, Sergey.
The Emissions Prediction and Policy Analysis (EPPA) model is the part of the MIT Integrated Global Systems Model (IGSM) that represents the human systems. EPPA is a recursive-dynamic multi-regional general equilibrium model ...
Dark solitons in dual-core waveguides with dispersive coupling
Kartashov, Yaroslav V; Malomed, Boris A
2015-01-01
We report on new types of two-component one-dimensional dark solitons (DSs) in a model of a dual-core waveguide with normal group-velocity dispersion and Kerr nonlinearity in both cores, the coupling between which is dispersive too. In the presence of the dispersive coupling, quiescent DSs supported by the zero-frequency background are always gray, being stable with the out-of-phase background, i.e., for opposite signs of the fields in the cores. On the contrary, the background with a nonzero frequency supports quiescent black solitons which may be stable for both out- and in-phase backgrounds, if the dispersive coupling is sufficiently strong. Only DSs supported by the out-of-phase background admit an extension to the case of nonzero phase mismatch between the cores.
Markov Modeling with Soft Aggregation for Safety and Decision Analysis
COOPER,J. ARLIN
1999-09-01
The methodology in this report improves on some of the limitations of many conventional safety assessment and decision analysis methods. A top-down mathematical approach is developed for decomposing systems and for expressing imprecise individual metrics as possibilistic or fuzzy numbers. A ''Markov-like'' model is developed that facilitates combining (aggregating) inputs into overall metrics and decision aids, also portraying the inherent uncertainty. A major goal of Markov modeling is to help convey the top-down system perspective. One of the constituent methodologies allows metrics to be weighted according to significance of the attribute and aggregated nonlinearly as to contribution. This aggregation is performed using exponential combination of the metrics, since the accumulating effect of such factors responds less and less to additional factors. This is termed ''soft'' mathematical aggregation. Dependence among the contributing factors is accounted for by incorporating subjective metrics on ''overlap'' of the factors as well as by correspondingly reducing the overall contribution of these combinations to the overall aggregation. Decisions corresponding to the meaningfulness of the results are facilitated in several ways. First, the results are compared to a soft threshold provided by a sigmoid function. Second, information is provided on input ''Importance'' and ''Sensitivity,'' in order to know where to place emphasis on considering new controls that may be necessary. Third, trends in inputs and outputs are tracked in order to obtain significant information% including cyclic information for the decision process. A practical example from the air transportation industry is used to demonstrate application of the methodology. Illustrations are given for developing a structure (along with recommended inputs and weights) for air transportation oversight at three different levels, for developing and using cycle information, for developing Importance and Sensitivity measures for soil aggregation, for developing dependence methodology, for constructing early alert logic, for tracking trends, for relating the Markov model to other (e.g., Reason) models, for developing and demonstrating rudimentary laptop software, and for developing an input/output display methodology.
Modeling and analysis of water-hammer in coaxial pipes
Cesana, Pierluigi
2015-01-01
The fluid-structure interaction is studied for a system composed of two coaxial pipes in an annular geometry, for both homogeneous isotropic metal pipes and fiber-reinforced (anisotropic) pipes. Multiple waves, traveling at different speeds and amplitudes, result when a projectile impacts on the water filling the annular space between the pipes. In the case of carbon fiber-reinforced plastic thin pipes we compute the wavespeeds, the fluid pressure and mechanical strains as functions of the fiber winding angle. This generalizes the single-pipe analysis of J. H. You, and K. Inaba, Fluid-structure interaction in water-filled pipes of anisotropic composite materials, J. Fl. Str. 36 (2013). Comparison with a set of experimental measurements seems to validate our models and predictions.
Probabilistic Analysis of Onion Routing in a Black-box Model JOAN FEIGENBAUM, Yale University
, Tor 1. INTRODUCTION Every day, half a million people use the onion-routing network Tor [Dingledine etA Probabilistic Analysis of Onion Routing in a Black-box Model JOAN FEIGENBAUM, Yale University a probabilistic analysis of onion routing. The analysis is presented in a black-box model of anonymous
A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis
Grossmann, Ignacio E.
A Mathematical Programming Model for Optimal Layout Considering Quantitative Risk Analysis Nancy risk analysis; Plant layout *Corresponding author. Phone: +52-461-611-7575 Ext. 5577. E-mail: arturo of plant layout with safety considerations. The model considers a quantitative risk analysis to take safety
Printed circuit dispersive transmission line
Ikezi, H.; Lin-Liu, Y.R.; DeGrassie, J.S.
1991-08-27
A printed circuit dispersive transmission line structure is disclosed comprising an insulator, a ground plane formed on one surface of the insulator, a first transmission line formed on a second surface of the insulator, and a second transmission line also formed on the second surface of the insulator and of longer length than the first transmission line and periodically intersecting the first transmission line. In a preferred embodiment, the transmission line structure exhibits highly dispersive characteristics by designing the length of one of the transmission line between two adjacent periodic intersections to be longer than the other. 5 figures.
Printed circuit dispersive transmission line
Ikezi, Hiroyuki (Rancho Santa Fe, CA); Lin-Liu, Yuh-Ren (San Diego, CA); DeGrassie, John S. (Encinitas, CA)
1991-01-01
A printed circuit dispersive transmission line structure is disclosed comprising an insulator, a ground plane formed on one surface of the insulator, a first transmission line formed on a second surface of the insulator, and a second transmission line also formed on the second surface of the insulator and of longer length than the first transmission line and periodically intersecting the first transmission line. In a preferred embodiment, the transmission line structure exhibits highly dispersive characteristics by designing the length of one of the transmission line between two adjacent periodic intersections to be longer than the other.
Dispersion-compensated fresnel lens
Johnson, Kenneth C. (1215 Brewster Dr., El Cerrito, CA 94530)
1992-01-01
A transmission grating is used to reduce chromatic aberration in a Fresnel lens, wherein the lens chromatic dispersion is offset and substantially canceled by the grating's diffraction-induced dispersion. The grating comprises a Fresnel-type pattern of microscopic facets molded directly into the lens surface. The facets would typically have a profile height of around 4.multidot.10.sup.-5 inch and a profile width of at least 10.sup.-3 inch. In its primary intended application, the invention would function to improve the optical performance of a Fresnel lens used to concentrate direct sunlight.
Dispersion-compensated Fresnel lens
Johnson, K.C.
1992-11-03
A transmission grating is used to reduce chromatic aberration in a Fresnel lens, wherein the lens chromatic dispersion is offset and substantially canceled by the grating's diffraction-induced dispersion. The grating comprises a Fresnel-type pattern of microscopic facets molded directly into the lens surface. The facets would typically have a profile height of around 4[times]10[sup [minus]5] inch and a profile width of at least 10[sup [minus]3] inch. In its primary intended application, the invention would function to improve the optical performance of a Fresnel lens used to concentrate direct sunlight. 10 figs.
Efficiency of dispersive wave generation in dual concentric core microstructured fiber
Modotto, Daniele; Krupa, Katarzyna; Manili, Gabriele; Minoni, Umberto; Tonello, Alessandro; Couderc, Vincent; Barthélémy, Alain; Labruyère, Alexis; Shalaby, Badr Mohammed; Leproux, Philippe; Wabnitz, Stefan; Aceves, Alejandro B
2015-01-01
We describe the generation of powerful dispersive waves that are observed when pumping a dual concentric core microstructured fiber by means of a sub-nanosecond laser emitting at the wavelength of~1064 nm. The presence of three zeros in the dispersion curve, their spectral separation from the pump wavelength, and the complex dynamics of solitons originated by the pump pulse break-up, all contribute to boost the amplitude of the dispersive wave on the long-wavelength side of the pump. The measured conversion efficiency towards the dispersive wave at 1548 nm is as high as 50%. Our experimental analysis of the output spectra is completed by the acquisition of the time delays of the different spectral components. Numerical simulations and an analytical perturbative analysis identify the central wavelength of the red-shifted pump solitons and the dispersion profile of the fiber as the key parameters for determining the efficiency of the dispersive wave generation process.
Dual-use tools and systematics-aware analysis workflows in the ATLAS Run-II analysis model
FARRELL, Steven; The ATLAS collaboration
2015-01-01
The ATLAS analysis model has been overhauled for the upcoming run of data collection in 2015 at 13 TeV. One key component of this upgrade was the Event Data Model (EDM), which now allows for greater flexibility in the choice of analysis software framework and provides powerful new features that can be exploited by analysis software tools. A second key component of the upgrade is the introduction of a dual-use tool technology, which provides abstract interfaces for analysis software tools to run in either the Athena framework or a ROOT-based framework. The tool interfaces, including a new interface for handling systematic uncertainties, have been standardized for the development of improved analysis workflows and consolidation of high-level analysis tools. This presentation will cover the details of the dual-use tool functionality, the systematics interface, and how these features fit into a centrally supported analysis environment.
Dual-use tools and systematics-aware analysis workflows in the ATLAS Run-2 analysis model
FARRELL, Steven; The ATLAS collaboration; Calafiura, Paolo; Delsart, Pierre-Antoine; Elsing, Markus; Koeneke, Karsten; Krasznahorkay, Attila; Krumnack, Nils; Lancon, Eric; Lavrijsen, Wim; Laycock, Paul; Lei, Xiaowen; Strandberg, Sara Kristina; Verkerke, Wouter; Vivarelli, Iacopo; Woudstra, Martin
2015-01-01
The ATLAS analysis model has been overhauled for the upcoming run of data collection in 2015 at 13 TeV. One key component of this upgrade was the Event Data Model (EDM), which now allows for greater flexibility in the choice of analysis software framework and provides powerful new features that can be exploited by analysis software tools. A second key component of the upgrade is the introduction of a dual-use tool technology, which provides abstract interfaces for analysis software tools to run in either the Athena framework or a ROOT-based framework. The tool interfaces, including a new interface for handling systematic uncertainties, have been standardized for the development of improved analysis workflows and consolidation of high-level analysis tools. This paper will cover the details of the dual-use tool functionality, the systematics interface, and how these features fit into a centrally supported analysis environment.
Modeling and Analysis of AGS (1998) Thermal Shock Experiments
Haines, J.R.; Kim, S.H.; Taleyarkhan, R.P.
1999-11-14
An overview is provided on modeling and analysis of thermal shock experiments conducted during 1998 with high-energy, short-pulse energy deposition in a mercury filled container in the Alternating Gradient Synchrotron (AGS) facility at Brookhaven National Laboratory (BNL). The simulation framework utilized along with the results of simulations for pressure and strain profiles are presented. While the magnitude of penk strain predictions versus data are in reasonable agreement, the temporal variations were found to differ significantly in selected cases, indicating lack of modeling of certain physical phenomena or due to uncertainties in the experimental data gathering techniques. Key thermal-shock related issues and uncertainties are highlighted. Specific experiments conducted at BNL's AGS facility during 1998 (the subject of this paper) involved high-energy (24 GeV) proton energy deposition in the mercury target over a time frame of - 0.1s. The target consisted of an - 1 m. long cylindrical stainless steel shell with a hemispherical dome at the leading edge. It was filled with mercury at room temperature and pressure. Several optical strain gages were attached to the surface of the steel target. Figure 1 shows a schematic representation of the test vessel along with the main dimensions and positions of three optical strain gages at which meaningful data were obtained. As
Analysis of real-time reservoir monitoring : reservoirs, strategies, & modeling.
Mani, Seethambal S.; van Bloemen Waanders, Bart Gustaaf; Cooper, Scott Patrick; Jakaboski, Blake Elaine; Normann, Randy Allen; Jennings, Jim; Gilbert, Bob; Lake, Larry W.; Weiss, Chester Joseph; Lorenz, John Clay; Elbring, Gregory Jay; Wheeler, Mary Fanett; Thomas, Sunil G.; Rightley, Michael J.; Rodriguez, Adolfo; Klie, Hector; Banchs, Rafael; Nunez, Emilio J.; Jablonowski, Chris
2006-11-01
The project objective was to detail better ways to assess and exploit intelligent oil and gas field information through improved modeling, sensor technology, and process control to increase ultimate recovery of domestic hydrocarbons. To meet this objective we investigated the use of permanent downhole sensors systems (Smart Wells) whose data is fed real-time into computational reservoir models that are integrated with optimized production control systems. The project utilized a three-pronged approach (1) a value of information analysis to address the economic advantages, (2) reservoir simulation modeling and control optimization to prove the capability, and (3) evaluation of new generation sensor packaging to survive the borehole environment for long periods of time. The Value of Information (VOI) decision tree method was developed and used to assess the economic advantage of using the proposed technology; the VOI demonstrated the increased subsurface resolution through additional sensor data. Our findings show that the VOI studies are a practical means of ascertaining the value associated with a technology, in this case application of sensors to production. The procedure acknowledges the uncertainty in predictions but nevertheless assigns monetary value to the predictions. The best aspect of the procedure is that it builds consensus within interdisciplinary teams The reservoir simulation and modeling aspect of the project was developed to show the capability of exploiting sensor information both for reservoir characterization and to optimize control of the production system. Our findings indicate history matching is improved as more information is added to the objective function, clearly indicating that sensor information can help in reducing the uncertainty associated with reservoir characterization. Additional findings and approaches used are described in detail within the report. The next generation sensors aspect of the project evaluated sensors and packaging survivability issues. Our findings indicate that packaging represents the most significant technical challenge associated with application of sensors in the downhole environment for long periods (5+ years) of time. These issues are described in detail within the report. The impact of successful reservoir monitoring programs and coincident improved reservoir management is measured by the production of additional oil and gas volumes from existing reservoirs, revitalization of nearly depleted reservoirs, possible re-establishment of already abandoned reservoirs, and improved economics for all cases. Smart Well monitoring provides the means to understand how a reservoir process is developing and to provide active reservoir management. At the same time it also provides data for developing high-fidelity simulation models. This work has been a joint effort with Sandia National Laboratories and UT-Austin's Bureau of Economic Geology, Department of Petroleum and Geosystems Engineering, and the Institute of Computational and Engineering Mathematics.
Development of a natural Gas Systems Analysis Model (GSAM)
Godec, M.; Haas, M.; Pepper, W.; Rose, J.
1993-12-31
Recent dramatic changes in natural gas markets have significant implications for the scope and direction of DOE`s upstream as well as downstream natural gas R&D. Open access transportation changes the way gas is bought and sold. The end of the gas deliverability surplus requires increased reserve development above recent levels. Increased gas demand for power generation and other new uses changes the overall demand picture in terms of volumes, locations and seasonality. DOE`s Natural Gas Strategic Plan requires that its R&D activities be evaluated for their ability to provide adequate supplies of reasonably priced gas. Potential R&D projects are to be evaluated using a full fuel cycle, benefit-cost approach to estimate likely market impact as well as technical success. To assure R&D projects are evaluated on a comparable basis, METC has undertaken the development of a comprehensive natural gas technology evaluation framework. Existing energy systems models lack the level of detail required to estimate the impact of specific upstream natural gas technologies across the known range of geological settings and likely market conditions. Gas Systems Analysis Model (GSAM) research during FY 1993 developed and implemented this comprehensive, consistent natural gas system evaluation framework. Rather than a isolated research activity, however, GSAM represents the integration of many prior and ongoing natural gas research efforts. When complete, it will incorporate the most current resource base description, reservoir modeling, technology characterization and other geologic and engineering aspects developed through recent METC and industry gas R&D programs.
Analysis of Software Evolvability in Quality Models Hongyu Pei Breivold1, Ivica Crnkovic2
Becker, Steffen
Analysis of Software Evolvability in Quality Models Hongyu Pei Breivold1, Ivica Crnkovic2 1ABB analyze several existing quality models for the purpose of evaluating how software evolvability is that although none of the existing quality models is dedicated to the analysis of software evolvability, we can
Driver Models For Timing And Noise Analysis Bogdan Tutuianu and Ross Baldick
Baldick, Ross
Driver Models For Timing And Noise Analysis Bogdan Tutuianu and Ross Baldick Abstract and ways to model and analyze it is given in [23]. Other tools and methodologies for functional noise analysis are proposed in [19], [10] and [1]. Special circuit modeling techniques to asses global noise
Formal Modelling and Analysis of Business Information Applications with Fault Tolerant Middleware
Southampton, University of
Formal Modelling and Analysis of Business Information Applications with Fault Tolerant Middleware properties of models of business pro- tocols and expose weaknesses of certain middleware con- figurations is that of gaining the bene- fits of formal modelling and analysis in the development of SOA-based business
Modeling and Analysis of Large-Scale On-Chip Interconnects
Feng, Zhuo
2010-07-14
dimensional process-voltage-temperature (PVT) variations demand much more modeling and analysis efforts than ever before, while the analysis of large scale on-chip interconnects that requires solving tens of millions of unknowns imposes great challenges...
Modeling and Analysis of Natural Gas and Gasoline In A High Compressio...
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
and Analysis of Natural Gas and Gasoline In A High Compression Ratio High Efficiency ICRE Modeling and Analysis of Natural Gas and Gasoline In A High Compression Ratio High...
Structural Equation Modelling for Causal Analysis Applied to Transport Systems
Schlingloff, Holger
barrier (SBA), fault tree (FTA) and failure mode and effect analysis (FMEA) into one method. Our approach Analysis (FTA), Failure Mode and Effect Analysis (FMEA), Event Tree Analysis (ETA) or Safety Barrier]). The probably most familiar methods FTA and FMEA are widely used in industry due to their intuitive
Office of Energy Efficiency and Renewable Energy (EERE)
Pumped Storage Hydropower (Detailed Analysis to Demonstrate Value)-Modeling and Analysis of Value of Advanced Pumped Storage Hydropower in the U.S.
Yang, Dihang
2015-01-01
ECDLL Noise Analysis . . . . . . . .discrete-time phase noiseLine (MDL) Phase Noise Model . . . . . . . . . . . . . . .
Toward a Security Domain Model for Static Analysis and Verification of Information Systems
Toward a Security Domain Model for Static Analysis and Verification of Information Systems Alan Shaffer, Mikhail Auguston, Cynthia Irvine, Tim Levin Computer Science Department Naval Postgraduate School
Webinar: DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model
Broader source: Energy.gov [DOE]
Video recording and text version of the webinar titled, DOE Launches JOBS and Economic Impacts of Fuel Cells (JOBS FC) Analysis Model, originally presented on May 22, 2012.
2013 CEF RUN - PHASE 1 DATA ANALYSIS AND MODEL VALIDATION
Choi, A.
2014-05-08
Phase 1 of the 2013 Cold cap Evaluation Furnace (CEF) test was completed on June 3, 2013 after a 5-day round-the-clock feeding and pouring operation. The main goal of the test was to characterize the CEF off-gas produced from a nitric-formic acid flowsheet feed and confirm whether the CEF platform is capable of producing scalable off-gas data necessary for the revision of the DWPF melter off-gas flammability model; the revised model will be used to define new safety controls on the key operating parameters for the nitric-glycolic acid flowsheet feeds including total organic carbon (TOC). Whether the CEF off-gas data were scalable for the purpose of predicting the potential flammability of the DWPF melter exhaust was determined by comparing the predicted H{sub 2} and CO concentrations using the current DWPF melter off-gas flammability model to those measured during Phase 1; data were deemed scalable if the calculated fractional conversions of TOC-to-H{sub 2} and TOC-to-CO at varying melter vapor space temperatures were found to trend and further bound the respective measured data with some margin of safety. Being scalable thus means that for a given feed chemistry the instantaneous flow rates of H{sub 2} and CO in the DWPF melter exhaust can be estimated with some degree of conservatism by multiplying those of the respective gases from a pilot-scale melter by the feed rate ratio. This report documents the results of the Phase 1 data analysis and the necessary calculations performed to determine the scalability of the CEF off-gas data. A total of six steady state runs were made during Phase 1 under non-bubbled conditions by varying the CEF vapor space temperature from near 700 to below 300°C, as measured in a thermowell (T{sub tw}). At each steady state temperature, the off-gas composition was monitored continuously for two hours using MS, GC, and FTIR in order to track mainly H{sub 2}, CO, CO{sub 2}, NO{sub x}, and organic gases such as CH{sub 4}. The standard deviation of the average vapor space temperature during each steady state ranged from 2 to 6°C; however, those of the measured off-gas data were much larger due to the inherent cold cap instabilities in the slurry-fed melters. In order to predict the off-gas composition at the sampling location downstream of the film cooler, the measured feed composition was charge-reconciled and input into the DWPF melter off-gas flammability model, which was then run under the conditions for each of the six Phase 1 steady states. In doing so, it was necessary to perform an overall heat/mass balance calculation from the melter to the Off-Gas Condensate Tank (OGCT) in order to estimate the rate of air inleakage as well as the true gas temperature in the CEF vapor space (T{sub gas}) during each steady state by taking into account the effects of thermal radiation on the measured temperature (T{sub tw}). The results of Phase 1 data analysis and subsequent model runs showed that the predicted concentrations of H{sub 2} and CO by the DWPF model correctly trended and further bounded the respective measured data in the CEF off-gas by over predicting the TOC-to-H{sub 2} and TOC-to-CO conversion ratios by a factor of 2 to 5; an exception was the 7X over prediction of the latter at T{sub gas} = 371°C but the impact of CO on the off-gas flammability potential is only minor compared to that of H{sub 2}. More importantly, the seemingly-excessive over prediction of the TOC-to-H{sub 2} conversion by a factor of 4 or higher at T{sub gas} < ~350°C was attributed to the conservative antifoam decomposition scheme added recently to the model and therefore is considered a modeling issue and not a design issue. At T{sub gas} > ~350°C, the predicted TOC-to-H{sub 2} conversions were closer to but still higher than the measured data by a factor of 2, which may be regarded as adequate from the safety margin standpoint. The heat/mass balance calculations also showed that the correlation between T{sub tw} and T{sub gas} in the CEF vapor space was close to that of the ½ scale SGM, whose data were ta
A BIOENERGETIC MODEL FOR THE ANALYSIS OF FEEDING AND SURVIVAL POTENTIAL OF WINTER FLOUNDER,
A BIOENERGETIC MODEL FOR THE ANALYSIS OF FEEDING AND SURVIVAL POTENTIAL OF WINTER FLOUNDER A bioenergetic model was developed which simulated effects of temperature, prey density, and larval size
On a tensor-based finite element model for the analysis of shell structures
Arciniega Aleman, Roman Augusto
2006-04-12
In the present study, we propose a computational model for the linear and nonlinear analysis of shell structures. We consider a tensor-based finite element formulation which describes the mathematical shell model in a ...
Bardhan, Jaydeep Porter, 1978-
2006-01-01
This thesis presents a set of numerical techniques that extend and improve computational modeling approaches for biomolecule analysis and design. The presented research focuses on surface formulations of modeling problems ...
Analysis and behavioral modeling of the Finite State Machines of the Xpress Transfer Protocol
Madduri, Venkateswara Rao
1994-01-01
. This research focuses on the analysis and behavioral modeling of the Finite State Machines of the XTP. The simulation language used is the Verilog Hardware Description Language. We have modeled XTP Finite State Machines as a set of communicating, concurrent...
Reliability Analysis of Settlement Using an Updated Probabilistic Unified Soil Compression Model
Ambrose, Avery
2012-02-14
unified soil compression model. The model is then used to estimate the settlement of an embankment. Lastly, a reliability analysis of settlement is carried out on the settlement estimate of the embankment. The new probabilistic unified soil compression...
Modeling and analysis of a maneuvering aircraft and cable towed body with wake effects
Hall, Jacob Thomas
2010-01-01
This thesis report covers the analysis and modeling of a cable towed endbody that incorporates an aircraft, wake effects, a towline, and a tow body. The aircraft is modeled as a generic tactical aircraft which is able to ...
The ICF, Inc. coal and electric utilities model : an analysis and evaluation
Wood, David O.
1981-01-01
v.1. The Electric Power Research Institute (EPRI) is sponsoring a series of evaluations of important energy policy and electric utility industry models by the MIT Energy Model Analysis Program (EMAP). The subject of this ...
Cross-industry Performance Modeling: Toward Cooperative Analysis
Reece, Wendy Jane; Blackman, Harold Stabler
1998-10-01
One of the current unsolved problems in human factors is the difficulty in acquiring information from lessons learned and data collected among human performance analysts in different domains. There are several common concerns and generally accepted issues of importance for human factors, psychology and industry analysts of performance and safety. Among these are the need to incorporate lessons learned in design, to carefully consider implementation of new designs and automation, and the need to reduce human performance-based contributions to risk. In spite of shared concerns, there are several roadblocks to widespread sharing of data and lessons learned from operating experience and simulation, including the fact that very few publicly accessible data bases exist (Gertman & Blackman, 1994, and Kirwan, 1997). There is a need to draw together analysts and analytic methodologies to comprise a centralized source of data with sufficient detail to be meaningful while ensuring source anonymity. We propose that a generic source of performance data and a multi-domain data store may provide the first steps toward cooperative performance modeling and analysis across industries.
Modeling and analysis of an ultra-stable subluminal laser
Zhou, Zifan; Zhou, Minchuan; Wang, Ye; Heifetz, Alexander; Shahriar, Selim M
2015-01-01
We describe a subluminal laser which is extremely stable against perturbations. It makes use of a composite gain spectrum consisting of a broad background along with a narrow peak. The stability of the laser, defined as the change in frequency as a function of a change in the cavity length, is enhanced by a factor given by the group index, which can be as high as 105 for experimentally realizable parameters. We also show that the fundamental linewidth of such a laser is expected to be smaller by the same factor. We first present an analysis where the gain profile is modeled as a superposition of two Lorentzian functions. We then present a numerical study based on a physical scheme for realizing the composite gain profile. In this scheme, the broad gain is produced by a high pressure buffer-gas loaded cell of rubidium vapor. The narrow gain is produced by using a Raman pump in a second rubidium vapor cell, where optical pumping is used to produce a Raman population inversion. We show close agreement between th...
Integration of facility modeling capabilities for nuclear nonproliferation analysis
Burr, Tom [Los Alamos National Laboratory (LANL); Gorensek, M. B. [Savannah River National Laboratory (SRNL); Krebs, John [Argonne National Laboratory (ANL); Kress, Reid L [ORNL; Lamberti, Vincent [Y-12 National Security Complex; Schoenwald, David [ORNL; Ward, Richard C [ORNL
2012-01-01
Developing automated methods for data collection and analysis that can facilitate nuclearnonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facilitymodeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facilitymodeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facilitymodelingcapabilities and illustrates how they could be integrated and utilized for nonproliferationanalysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facilitymodeling tools. After considering a representative sampling of key facilitymodelingcapabilities, the proposed integration framework is illustrated with several examples.
Modeling velocity dispersion In Gypsy site, Oklahoma
Alsaadan, Sami Ibrahim
2010-01-01
Discrepancies in interval velocities estimated from vertical well measurements made with different source central frequencies at Gypsy site could be primarily explained in terms of intrinsic attenuation. Four intervals ...
1996-12-01
Volume VII of the documentation for the Phase I Data Analysis Task performed in support of the current Regional Flow Model, Transport Model, and Risk Assessment for the Nevada Test Site Underground Test Area Subproject contains the tritium transport model documentation. Because of the size and complexity of the model area, a considerable quantity of data was collected and analyzed in support of the modeling efforts. The data analysis task was consequently broken into eight subtasks, and descriptions of each subtask's activities are contained in one of the eight volumes that comprise the Phase I Data Analysis Documentation.
Thermal analysis and air flow modelling of electrical machines
Chong, Yew Chuan
2015-06-29
Thermal analysis is an important topic that can affect the electrical machine performance, reliability, lifetime and efficiency. In order to predict the electrical machine thermal performance accurately, thermal analysis ...
Sensitivity analysis of a dynamic model for submerged arc silicon furnaces.
Foss, Bjarne A.
Sensitivity analysis of a dynamic model for submerged arc silicon furnaces. B. F. Lund1 , B. A for a dynamic model of submerged arc silicon furnaces. The model we study, called "Simod", was developed updating a nonlinear, dynamic model of a silicon furnace. We have identified a parameter set that has
Automated Analysis of Software Designs with Graphic Quality Models Department of Computer Science
Zhu, Hong
Automated Analysis of Software Designs with Graphic Quality Models QIAN ZHANG Department@brookes.ac.uk Abstract: Software quality models play a significant role in software quality assurance. Based on our previous work on graphic modelling of software quality, this paper extends the quality modelling language
Free Body Analysis, Beam Mechanics, and Finite Element Modeling of the Mandible of Alligator
Free Body Analysis, Beam Mechanics, and Finite Element Modeling of the Mandible of Alligator arm mechanics, 2D and 3D beam mod- els, and three high-resolution finite element models- pared with the beam models, the Alligator finite element models exhibited less spatial variability
Skogestad, Sigurd
Sensitivity Analysis of Optimal Operation of an Activated Sludge Process Model for Economic operation conducted on an activated sludge process model based on the test-bed benchmark simulation model no. 1 (BSM1) and the activated sludge model no. 1 (ASM1). The objective is to search for a control
Application of Gaussian Process Modeling to Analysis of Functional Unreliability
R. Youngblood
2014-06-01
This paper applies Gaussian Process (GP) modeling to analysis of the functional unreliability of a “passive system.” GPs have been used widely in many ways [1]. The present application uses a GP for emulation of a system simulation code. Such an emulator can be applied in several distinct ways, discussed below. All applications illustrated in this paper have precedents in the literature; the present paper is an application of GP technology to a problem that was originally analyzed [2] using neural networks (NN), and later [3, 4] by a method called “Alternating Conditional Expectations” (ACE). This exercise enables a multifaceted comparison of both the processes and the results. Given knowledge of the range of possible values of key system variables, one could, in principle, quantify functional unreliability by sampling from their joint probability distribution, and performing a system simulation for each sample to determine whether the function succeeded for that particular setting of the variables. Using previously available system simulation codes, such an approach is generally impractical for a plant-scale problem. It has long been recognized, however, that a well-trained code emulator or surrogate could be used in a sampling process to quantify certain performance metrics, even for plant-scale problems. “Response surfaces” were used for this many years ago. But response surfaces are at their best for smoothly varying functions; in regions of parameter space where key system performance metrics may behave in complex ways, or even exhibit discontinuities, response surfaces are not the best available tool. This consideration was one of several that drove the work in [2]. In the present paper, (1) the original quantification of functional unreliability using NN [2], and later ACE [3], is reprised using GP; (2) additional information provided by the GP about uncertainty in the limit surface, generally unavailable in other representations, is discussed; (3) a simple forensic exercise is performed, analogous to the inverse problem of code calibration, but with an accident management spin: given an observation about containment pressure, what can we say about the system variables? References 1. For an introduction to GPs, see (for example) Gaussian Processes for Machine Learning, C. E. Rasmussen and C. K. I. Williams (MIT, 2006). 2. Reliability Quantification of Advanced Reactor Passive Safety Systems, J. J. Vandenkieboom, PhD Thesis (University of Michigan, 1996). 3. Z. Cui, J. C. Lee, J. J. Vandenkieboom, and R. W. Youngblood, “Unreliability Quantification of a Containment Cooling System through ACE and ANN Algorithms,” Trans. Am. Nucl. Soc. 85, 178 (2001). 4. Risk and Safety Analysis of Nuclear Systems, J. C. Lee and N. J. McCormick (Wiley, 2011). See especially §11.2.4.
Application of Bayesian Hierarchical Models in Genetic Data Analysis
Zhang, Lin
2012-08-15
: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 4 2.1 Introduction : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 4 2.2 Probability Model : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 7 2.2.1 Bayesian Gaussian Graphical Models : : : : : : : : : : : : : : 8 2....2.2 Hierarchical Model : : : : : : : : : : : : : : : : : : : : : : : : 10 2.2.3 GO-based Prior for G : : : : : : : : : : : : : : : : : : : : : : 11 2.3 Model Selection Using False Discovery Rates : : : : : : : : : : : : : : 13 2.4 Simulation Study...
Dispersion enhanced metal/zeolite catalysts
Sachtler, W.M.H.; Tzou, M.S.; Jiang, H.J.
1987-03-31
Dispersion stabilized zeolite supported metal catalysts are provided as bimetallic catalyst combinations. The catalyst metal is in a reduced zero valent form while the dispersion stabilizer metal is in an unreduced ionic form. Representative catalysts are prepared from platinum or nickel as the catalyst metal and iron or chromium dispersion stabilizer.
ACTINIDE REMOVAL PROCESS SAMPLE ANALYSIS, CHEMICAL MODELING, AND FILTRATION EVALUATION
Martino, C.; Herman, D.; Pike, J.; Peters, T.
2014-06-05
Filtration within the Actinide Removal Process (ARP) currently limits the throughput in interim salt processing at the Savannah River Site. In this process, batches of salt solution with Monosodium Titanate (MST) sorbent are concentrated by crossflow filtration. The filtrate is subsequently processed to remove cesium in the Modular Caustic Side Solvent Extraction Unit (MCU) followed by disposal in saltstone grout. The concentrated MST slurry is washed and sent to the Defense Waste Processing Facility (DWPF) for vitrification. During recent ARP processing, there has been a degradation of filter performance manifested as the inability to maintain high filtrate flux throughout a multi-batch cycle. The objectives of this effort were to characterize the feed streams, to determine if solids (in addition to MST) are precipitating and causing the degraded performance of the filters, and to assess the particle size and rheological data to address potential filtration impacts. Equilibrium modelling with OLI Analyzer{sup TM} and OLI ESP{sup TM} was performed to determine chemical components at risk of precipitation and to simulate the ARP process. The performance of ARP filtration was evaluated to review potential causes of the observed filter behavior. Task activities for this study included extensive physical and chemical analysis of samples from the Late Wash Pump Tank (LWPT) and the Late Wash Hold Tank (LWHT) within ARP as well as samples of the tank farm feed from Tank 49H. The samples from the LWPT and LWHT were obtained from several stages of processing of Salt Batch 6D, Cycle 6, Batch 16.
Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid
Hansen, René Rydhof
Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid Fault Risø National Laboratory Vestas Wind Systems A/S #12;#12;I Modelling and Analysis of Variable Speed Wind Turbines with Induction Generator during Grid Fault by Sigrid M. Bolik Institute of Energy
Analysis of the Chatter Instability in a Nonlinear Model for Drilling
Campbell, Sue Ann
Analysis of the Chatter Instability in a Nonlinear Model for Drilling Sue Ann Campbell Department stability analysis of a nonlinear model for chatter vibration in a drilling operation. The results build our, drilling, centre manifold reduction 1 #12;INTRODUCTION INTRODUCTION In a metal cutting operation
Macro-System Model for Hydrogen Energy Systems Analysis in Transportation: Preprint
Diakov, V.; Ruth, M.; Sa, T. J.; Goldsby, M. E.
2012-06-01
The Hydrogen Macro System Model (MSM) is a simulation tool that links existing and emerging hydrogen-related models to perform rapid, cross-cutting analysis. It allows analysis of the economics, primary energy-source requirements, and emissions of hydrogen production and delivery pathways.
HASARD: A Model-Based Method for Quality Analysis of Software Architecture
Zhu, Hong
HASARD: A Model-Based Method for Quality Analysis of Software Architecture Hong Zhu Department for the analysis of software quality as entailed in software architectural designs. In this method, quality hazards architectural designs to predict their quality. 1.1 Motivation Software architecture is a structural model
Analysis and Reduction of Power Grid Models under Uncertainty Sandia National Laboratories
Levi, Anthony F. J.
1.30pm Analysis and Reduction of Power Grid Models under Uncertainty Habib Najm Sandia National Laboratories Abstract The increased utilization of alternative energy sources requires that evolving power grid Uncertainty Eigenproblem Closure Analysis and Reduction of Power Grid Models under Uncertainty H.N. Najm
Economics Definitions, Methods, Models, and Analysis Procedures for Homeland Security Applications
Economics Definitions, Methods, Models, and Analysis Procedures for Homeland Security Applications, Programmer Computational Economics Group January 29, 2010 SAND2010-4315 #12;2 This page intentionally blank #12;3 Economics Definitions, Methods, Models, and Analysis Procedures for Homeland Security
System and method for detection of dispersed broadband signals
Qian, Shie (Austin, TX); Dunham, Mark E. (Los Alamos, NM)
1999-06-08
A system and method for detecting the presence of dispersed broadband signals in real time. The present invention utilizes a bank of matched filters for detecting the received dispersed broadband signals. Each matched filter uses a respective robust time template that has been designed to approximate the dispersed broadband signals of interest, and each time template varies across a spectrum of possible dispersed broadband signal time templates. The received dispersed broadband signal x(t) is received by each of the matched filters, and if one or more matches occurs, then the received data is determined to have signal data of interest. This signal data can then be analyzed and/or transmitted to Earth for analysis, as desired. The system and method of the present invention will prove extremely useful in many fields, including satellite communications, plasma physics, and interstellar research. The varying time templates used in the bank of matched filters are determined as follows. The robust time domain template is assumed to take the form w(t)=A(t)cos{2.phi.(t)}. Since the instantaneous frequency f(t) is known to be equal to the derivative of the phase .phi.(t), the trajectory of a joint time-frequency representation of x(t) is used as an approximation of .phi.'(t).
System and method for detection of dispersed broadband signals
Qian, S.; Dunham, M.E.
1999-06-08
A system and method for detecting the presence of dispersed broadband signals in real time are disclosed. The present invention utilizes a bank of matched filters for detecting the received dispersed broadband signals. Each matched filter uses a respective robust time template that has been designed to approximate the dispersed broadband signals of interest, and each time template varies across a spectrum of possible dispersed broadband signal time templates. The received dispersed broadband signal x(t) is received by each of the matched filters, and if one or more matches occurs, then the received data is determined to have signal data of interest. This signal data can then be analyzed and/or transmitted to Earth for analysis, as desired. The system and method of the present invention will prove extremely useful in many fields, including satellite communications, plasma physics, and interstellar research. The varying time templates used in the bank of matched filters are determined as follows. The robust time domain template is assumed to take the form w(t)=A(t)cos[l brace]2[phi](t)[r brace]. Since the instantaneous frequency f(t) is known to be equal to the derivative of the phase [phi](t), the trajectory of a joint time-frequency representation of x(t) is used as an approximation of [phi][prime](t). 10 figs.
C. AMMERMAN; J. BERNARDIN
1999-11-01
This report presents results for design and analysis of the hot model water cooling system for the Spallation Neutron Source (SNS) coupled-cavity linac (CCL). The hot model, when completed, will include segments for both the CCL and coupled-cavity drift-tube linac (CCDTL). The scope of this report encompasses the modeling effort for the CCL portion of the hot model. This modeling effort employed the SINDA/FLUINT network modeling tool. This report begins with an introduction of the SNS hot model and network modeling using SINDA/FLUINT. Next, the development and operation of the SINDA/FLUINT model are discussed. Finally, the results of the SINDA/FLUINT modeling effort are presented and discussed.
Heavy tailed K distributions imply a fractional advection dispersion equation
Meerschaert, Mark M.
Dispersion Equation (FADE) to model contaminant transport in porous media. This equation characterizes, and Particle Jumps Equations of contaminant transport in porous media are based on assumptions about hydraulic governing groundwater flow (e.g., Freeze and Cherry, 1979): h K v - = (1) where v is average velocity
3D MEMS Simulation Modeling Using Modified Nodal Analysis J. V. Clark, N. Zhou, D. Bindel,
California at Berkeley, University of
3D MEMS Simulation Modeling Using Modified Nodal Analysis J. V. Clark, N. Zhou, D. Bindel, L, and experimental verification of several MEMS devices are presented. Simulated results include 3D mode analysis. To simulate the performance of these MEMS devices a modified nodal analysis approach is used to formulate
Lin, Liwei
Introduction to Finite Element Modeling Engineering analysis of mechanical systems have been of the FEM (don't misuse the FEM - a numerical tool) Finite Element Analysis A typical finite element quantities (e.g., strains and stresses) at selected elements Basic Theory The way finite element analysis
Probabilistic finite element analysis of a craniofacial finite element model Michael A. Berthaume a s t r a c t We employed a probabilistic finite element analysis (FEA) method to determine how 2011 Accepted 18 January 2012 Available online 27 January 2012 Keywords: Probabilistic analysis Finite
H2A Hydrogen Delivery Infrastructure Analysis Models and Conventional...
Broader source: Energy.gov (indexed) [DOE]
An in-depth comparative analysis of promising infrastructure options for hydrogen delivery and distribution to refueling stations from central, semi-central, and distributed...
Hydrogen Technology Analysis: H2A Production Model Update (Presentation)
Ramsden, T.
2007-05-15
This presentation by Todd Ramsden at the 2007 DOE Hydrogen Program Annual Merit Review Meeting provides information about NREL's hydrogen technology analysis activities.
Modeling aviation's global emissions, uncertainty analysis, and applications to policy
Lee, Joosung Joseph, 1974-
2005-01-01
(cont.) fuel burn results below 3000 ft. For emissions, the emissions indices were the most influential uncertainties for the variance in model outputs. By employing the model, this thesis examined three policy options for ...
Modeling control room crews for accident sequence analysis
Huang, Y. (Yuhao)
1991-01-01
This report describes a systems-based operating crew model designed to simulate the behavior of an nuclear power plant control room crew during an accident scenario. This model can lead to an improved treatment of potential ...
Functional ANOVA Models: Convex-concave approach and concurvity analysis
theme is that the occurrence of concurvity obstructs the interpretation of the models studied in both in [1], which provide an extension of the standard linear regression model while retaining the non
The relation between seismic P- and S-wave velocity dispersion in saturated rocks
Mavko, G. [Stanford Univ., CA (United States). Dept. of Geophysics] [Stanford Univ., CA (United States). Dept. of Geophysics; Jizba, D. [CSTJF, Pau (France)] [CSTJF, Pau (France)
1994-01-01
Seismic velocity dispersion in fluid-saturated rocks appears to be dominated by two mechanisms: the large scale mechanism modeled by Biot, and the local flow or squirt mechanism. The two mechanisms can be distinguished by the ratio of P- to S-wave dispersions, or more conveniently, by the ratio of dynamic bulk to shear compliance dispersions derived from the wave velocities. The authors` formulation suggests that when local flow dominates, the dispersion of the shear compliance will be approximately 4/15 the dispersion of the compressibility. When the Biot mechanism dominates, the constant of proportionality is much smaller. Their examination of ultrasonic velocities from 40 sandstones and granites shows that most, but not all, of the samples were dominated by local flow dispersion, particularly at effective pressures below 40 MPa.
From Whiteboard to Model: A Preliminary Analysis Praveen Paritosh1
Forbus, Kenneth D.
such as the migration of killer bees and the efficacy of carbon sequestration. Unlike theories, models describe specific
A Pragmatic Business Analysis Model for Telecom Operators
Kwete, Eric Kwete Mwana
2010-05-14
................................................................................................................................... 33 Cost Analysis – Labor .............................................................................................................................. 34 Cost Analysis – CapEx... is to develop ways to reduce Operational Expenditure (OpEx). The impact of OpEx savings strategies could well benefit Capital Expenditure (CapEx) forecasts. For example, choosing to disconnect underutilized T1 circuits could save ports on a switch hence...
Analysis Model for Domestic Hot Water Distribution Systems: Preprint
Maguire, J.; Krarti, M.; Fang, X.
2011-11-01
A thermal model was developed to estimate the energy losses from prototypical domestic hot water (DHW) distribution systems for homes. The developed model, using the TRNSYS simulation software, allows researchers and designers to better evaluate the performance of hot water distribution systems in homes. Modeling results were compared with past experimental study results and showed good agreement.
Spread of North American wind-dispersed trees in future environments
He, Yanping
LETTER Spread of North American wind-dispersed trees in future environments Ran Nathan,1 * Nir a formidable challenge to be confronted. We modelled the spread of North American wind- dispersed trees species, predicted wind-driven spread will match future climate changes, conditioned on seed abscission
Tsunami waveform inversion including dispersive waves: the 2004 earthquake off Kii Peninsula, Japan
Furumura, Takashi
Click Here for Full Article Tsunami waveform inversion including dispersive waves: the 2004 are often assumed to model tsunamis, but the wavelength of the initial water height distribution produced, is sometimes not much greater than the water depth. The resulting tsunami may have a dispersive character
Economics definitions, methods, models, and analysis procedures for Homeland Security applications.
Ehlen, Mark Andrew; Loose, Verne William; Vargas, Vanessa N.; Smith, Braeton J.; Warren, Drake E.; Downes, Paula Sue; Eidson, Eric D.; Mackey, Greg Edward
2010-01-01
This report gives an overview of the types of economic methodologies and models used by Sandia economists in their consequence analysis work for the National Infrastructure Simulation&Analysis Center and other DHS programs. It describes the three primary resolutions at which analysis is conducted (microeconomic, mesoeconomic, and macroeconomic), the tools used at these three levels (from data analysis to internally developed and publicly available tools), and how they are used individually and in concert with each other and other infrastructure tools.
Global horizontal irradiance clear sky models : implementation and analysis.
Stein, Joshua S.; Hansen, Clifford W.; Reno, Matthew J.
2012-03-01
Clear sky models estimate the terrestrial solar radiation under a cloudless sky as a function of the solar elevation angle, site altitude, aerosol concentration, water vapor, and various atmospheric conditions. This report provides an overview of a number of global horizontal irradiance (GHI) clear sky models from very simple to complex. Validation of clear-sky models requires comparison of model results to measured irradiance during clear-sky periods. To facilitate validation, we present a new algorithm for automatically identifying clear-sky periods in a time series of GHI measurements. We evaluate the performance of selected clear-sky models using measured data from 30 different sites, totaling about 300 site-years of data. We analyze the variation of these errors across time and location. In terms of error averaged over all locations and times, we found that complex models that correctly account for all the atmospheric parameters are slightly more accurate than other models, but, primarily at low elevations, comparable accuracy can be obtained from some simpler models. However, simpler models often exhibit errors that vary with time of day and season, whereas the errors for complex models vary less over time.
Modelling, Reduction and Analysis of Markov Automata Dennis Guck1,3
Vellekoop, Michel
Hermanns2 , Joost-Pieter Katoen1,3 and Mark Timmer3 1 Software Modelling and Verification, RWTH Aachen power has thus far precluded them from effective analysis by probabilistic (and statisti- cal) model can thus model action transitions as in labelled transition systems, probabilistic branching, as well
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models
Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models and characterize capacity fade in lithium-ion batteries. As a comple- ment to approaches to mathematically model been made in developing lithium-ion battery models that incor- porate transport phenomena
Monte Carlo Adaptive Technique for Sensitivity Analysis of a Large-scale Air Pollution Model
Dimov, Ivan
Monte Carlo Adaptive Technique for Sensitivity Analysis of a Large-scale Air Pollution Model Ivan of input parameters contribution into output variability of a large- scale air pollution model]. This model simulates the transport of air pollutants and has been developed by Dr. Z. Zlatev and his
Gosavi, Abhijit
Pollution Control in a Manufacturing System Stochastic Models for Analysis and Control of Air Pollution in a Manufacturing System Jan, 1, 2005 Technical Report SOPTL-05-01 Missouri University of Science models that can be used for controlling pollution in a manufacturing system. The models are developed
PowerPerformance Modeling and Tradeoff Analysis for a High End Microprocessor
Singh, Jaswinder Pal
PowerÂPerformance Modeling and Tradeoff Analysis for a High End Microprocessor David Brooks@us.ibm.com Abstract We describe a new powerÂperformance modeling toolkit, developed to aid in the evaluation and definiÂ tion of future powerÂefficient, PowerPC TM processors. The base performance models in use
A Model-Driven Approach to Service Performance Prediction and Analysis
de Lara, Juan
the analysis or simulation of the original model. An important issue in systems validation, and in particular, to identify performance bottlenecks and load limits. If this activity is done in the modelling phase BPEL [A07] models, which are annotated by a profiling engineer with performance estimations
Sensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming
Topaloglu, Huseyin
of fleet management models is to make the vehicle repositioning and vehicle-to-load assignment decisions soSensitivity Analysis of a Dynamic Fleet Management Model Using Approximate Dynamic Programming present tractable algorithms to assess the sensitivity of a stochastic dynamic fleet management model
ARTICLE Communicatedby JohnRime1 Analysis of Neuron Models with
Columbia University
ARTICLE Communicatedby JohnRime1 Analysis of Neuron Models with Dynamically Regulated ConductancesSystems, Brandeis University, Waltham,MA 02254 USA We analyze neuron models in which the maximal conductances and modify membrane channels in real neurons. Regulated model neurons maintain a constant averagelevel
Paper No. 9.06 1 NEWMARKIAN ANALYSIS OF LIQUEFIED FLOW IN CENTRIFUGE MODEL
Haigh, Stuart
Paper No. 9.06 1 NEWMARKIAN ANALYSIS OF LIQUEFIED FLOW IN CENTRIFUGE MODEL EARTHQUAKES S.K. Haigh S-pressure history either predicted using a suitable constitutive model, or measured during a centrifuge or shaking displacements using this procedure and displacements measured in centrifuge model tests with the same pore
A polymer model with long-range interactions: analysis and applications to the chromatin structure
Holcman, David
A polymer model with long-range interactions: analysis and applications to the chromatin structure consists of the DNA and its hierarchy of interact- ing molecules that can be modeled as a complex polymer. To describe the chromatin dynamic, we develop and analyze here a polymer model that accounts for long range
Distributed lyapunov functions in analysis of graph models of software
Roozbehani, Mardavij
In previous works, the authors introduced a framework for software analysis, which is based on optimization of Lyapunov invariants. These invariants prove critical software properties such as absence of overflow and ...
Biomass Scenario Model, BETO Analysis Platform Peer Review (Presentati...
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
bio-oil techno- economic analyses o Aviation biofuels and the European Union emissions trading system (ETS) o Light-duty-vehicle (LDV) ethanol-demand scenario analysis o Long...
CARMEN [Code, Analysis, Repository & Modelling for e-Neuroscience]
Pryor, Graham
The CARMEN pilot project seeks to create a virtual laboratory for experimental neurophysiology, enabling the sharing and collaborative exploitation of data, analysis code and expertise. This study by the DCC contributes ...
Lurking Pathway Prediction And Pathway ODE Model Dynamic Analysis
Zhang, Rengjing
2013-11-18
Signaling pathway analysis is so important to study the causes of diseases and the treatment of drugs. Finding the lurking pathway from ligand to signature is a significant issue in studying the mechanism of how the cell response...
Statistical Analysis of Semiparametric Models in Accelerated Life Testing
: Accelerated life models, additive accumulation of damages, generalized proportional hazards, semiparametrictofailure of items under the stress x(\\Delta) is deøned by a nonnegative absolutely continuous random variable T x models with random covariates. The proportion F x(\\Delta) (t) of items from\\Omega which fail until
Analysis of some properties for a basic Petri net model
Fortis, Alexandra Emilia
2009-01-01
The formalism of the models with Petri networks provides a sound theoretical base, supported by powerful mathematical methods able to extract information necessary for the formalism and simulation of the real system that provides features of competition and synchronization. The paper presents a model based on a Petri net, in order to extract information relative to the technological producing process of a food additive.
Cognitive Modeling Formulation and Analysis of Dynamic Systems
Bremen, Universität
trajectories produced by a local generator. #12;7 Logistic Growth Model Define p(t) as the probability affects the output (or, vice-versa, what inputs should be given to generate a desired output for the n-element binary valued lists. The state space of a brain model is the set of points contained
Security Analysis and Improvement Model for Web-based Applications
Wang, Yong
2010-01-14
to the current states in software systems and hardware systems, and independent of web application system states in the past. Therefore, the web-based applications can be approximately modeled by the Markov Process Model. The web-based applications can...
Powder diffraction studies using anomalous dispersion
Cox, D.E. [Brookhaven National Lab., Upton, NY (United States); Wilkinson, A.P. [California Univ., Santa Barbara, CA (United States). Dept. of Materials
1993-05-01
With the increasing availability and accessibility of high resolution powder diffractometers at many synchrotron radiation sources throughout the world, there is rapidly-growing interest in the exploitation of anomalous dispersion techniques for structural studies of polycrystalline materials. In conjunction with the Rietveld profile method for structure refinement, such studies are especially useful for the determination of the site distributions of two or more atoms which are near neighbors in the periodic table, or atoms which are distributed among partially occupied sites. Additionally, it is possible to (1) determine the mean-square displacements associated with different kinds of atoms distributed over a single set of sites, (2) distinguish between different oxidation states and coordination geometries of a particular atom in a compound and (3) to determine f` for a wide range of atomic species as a function of energy in the vicinity of an absorption edge. Experimental methods for making anomalous dispersion measurements are described in some detail, including data collection strategies, data analysis and correlation problems, possible systematic errors, and the accuracy of the results. Recent work in the field is reviewed, including cation site-distribution studies (e.g. doped high {Tc} superconductors, ternary alloys, FeCo{sub 2}(PO{sub 4}){sub 3}, FeNi{sub 2}BO{sub 5}), oxidation-state contrast (e.g. YBa{sub 2}Cu{sub 3}O{sub 6+x}, Eu{sub 3}O{sub 4}, GaCl{sub 2}, Fe{sub 2}PO{sub 5}), and the effect of coordination geometry (e.g. Y{sub 3}Ga{sub 5}O{sub l2}).
Powder diffraction studies using anomalous dispersion
Cox, D.E. (Brookhaven National Lab., Upton, NY (United States)); Wilkinson, A.P. (California Univ., Santa Barbara, CA (United States). Dept. of Materials)
1993-01-01
With the increasing availability and accessibility of high resolution powder diffractometers at many synchrotron radiation sources throughout the world, there is rapidly-growing interest in the exploitation of anomalous dispersion techniques for structural studies of polycrystalline materials. In conjunction with the Rietveld profile method for structure refinement, such studies are especially useful for the determination of the site distributions of two or more atoms which are near neighbors in the periodic table, or atoms which are distributed among partially occupied sites. Additionally, it is possible to (1) determine the mean-square displacements associated with different kinds of atoms distributed over a single set of sites, (2) distinguish between different oxidation states and coordination geometries of a particular atom in a compound and (3) to determine f' for a wide range of atomic species as a function of energy in the vicinity of an absorption edge. Experimental methods for making anomalous dispersion measurements are described in some detail, including data collection strategies, data analysis and correlation problems, possible systematic errors, and the accuracy of the results. Recent work in the field is reviewed, including cation site-distribution studies (e.g. doped high [Tc] superconductors, ternary alloys, FeCo[sub 2](PO[sub 4])[sub 3], FeNi[sub 2]BO[sub 5]), oxidation-state contrast (e.g. YBa[sub 2]Cu[sub 3]O[sub 6+x], Eu[sub 3]O[sub 4], GaCl[sub 2], Fe[sub 2]PO[sub 5]), and the effect of coordination geometry (e.g. Y[sub 3]Ga[sub 5]O[sub l2]).
Dispersion of swimming algae in laminar and turbulent channel flows: theory and simulations
Croze, O A; Ahmed, M; Bees, M A; Brandt, L
2012-01-01
Algal swimming is often biased by environmental cues, e.g. gravitational and viscous torques drive cells towards downwelling fluid (gyrotaxis). In view of biotechnological applications, it is important to understand how such biased swimming affects cell dispersion in a flow. Here, we study the dispersion of gyrotactic swimming algae in laminar and turbulent channel flows. By direct numerical simulation (DNS) of cell motion within upwelling and downwelling channel flows, we evaluate time-dependent measures of dispersion for increasing values of the flow Peclet (Reynolds) numbers, Pe (Re). Furthermore, we derive an analytical `swimming Taylor-Aris dispersion' theory, using flow-dependent transport parameters given by existing microscopic models. In the laminar regime, DNS results and analytical predictions compare very well, providing the first confirmation that cells' response to flow is best described by the generalized-Taylor-dispersion microscopic model. We predict that cells drift along a channel faster th...
THREE-DIMENSIONAL THERMAL MODELING ANALYSIS OF CST MEDIA FOR THE SMALL ION EXCHANGE PROJECT
Lee, S.; King, W.
2011-09-12
The Small Column Ion Exchange (SCIX) project is designed to accelerate closure of High Level Waste (HLW) tanks at the Savannah River Site (SRS). The SRS tanks store HLW in three forms: sludge, saltcake, and supernate. An in-tank ion exchange process is being designed to treat supernate and dissolved saltcake waste. Through this process, radioactive cesium from the salt solution is adsorbed into Crystalline Silicotitanate (CST) ion exchange media packed within a flow-through column. A packed column loaded with radioactive cesium generates significant heat from radiolytic decay. The waste supernate solution within the ion exchange bed will boil around 120 C. Solution superheating above the boiling point within the column could lead to violent hazardous energy releases. System heating from loaded CST is also of concern in other process modules, such as the waste tank. Due to tank structural integrity concerns, the wall temperature limit for the SRS waste tanks is 100 C. The transfer of cesium-loaded CST to the tank could result in localized hot spots on the tank floor and walls which may exceed this limit. As a result, thermal modeling calculations have been conducted to predict the maximum temperatures achievable both in the column and in the waste tank. As specified in the associated Technical Task Plan, one objective of the present work was to compute temperature distributions within the ion exchange column module under accident scenarios including loss of salt solution flow through the bed and loss of coolant system flow. The column modeling domain and the scope of the calculations in this case were broadened relative to previous two-dimensional calculations to include vertical temperature distributions within the packed bed of ion exchange media as well as the upper column plenum region containing only fluid. The baseline design conditions and in-column modeling domain for the ion-exchange column module are shown in Figure 1. These evaluations assumed the maximum bounding cesium loading considered possible based on current knowledge regarding CST media and the anticipated feed compositions. Since this cesium loading was considerably higher than the nominal loading conditions in SRS waste, cases with lower loading were also evaluated. Modeling parameters were the same as those used previously unless otherwise indicated. The current model does not capture multi-phase cooling mechanisms operative when solution boiling occurs. This feature is conservative in the sense that it does not account for the large cooling effects associated with phase transfer. However, the potential transfer of heat to the plenum region associated with vertical bubble ascension through the column during boiling is also neglected. Thermal modeling calculations were also performed for the entire waste storage tank for the case where loaded and ground CST was transferred to the tank. The modeling domain used for the in-tank calculations is provided in Figure 2. The in-tank domain is based on SRS Tank 41, which is a Type-IIIA tank. Temperature distributions were evaluated for cylindrical, ground CST mounds located on the tank floor. Media grinding is required prior to vitrification processing of the CST in the SRS Defense Waste Processing Facility (DWPF). The location of the heat source region on the tank floor due to the accumulation of CST material was assumed to be just under the grinder. The shape of the CST mound was assumed to be cylindrical. This shape is believed to be most representative of the actual mound shape formed in the tank, given that submersible mixing pumps will be available for media dispersion. Alternative configurations involving other geometrical shapes for the CST mound were evaluated in the previous work. Sensitivity analysis for the in-tank region was performed for different amounts of CST media. As was the case for the in-column model, the in-tank model does not include multi-phase cooling mechanisms operative when solution boiling occurs. The in-column and the in-tank evaluations incorporated recently updated maximum cesi
Methods for dispersing hydrocarbons using autoclaved bacteria
Tyndall, Richard L. (Clinton, TN)
1996-01-01
A method of dispersing a hydrocarbon includes the steps: providing a bacterium selected from the following group: ATCC 85527, ATCC 75529, and ATCC 55638, a mutant of any one of these bacteria possessing all the identifying characteristics of any one of these bacteria, and mixtures thereof; autoclaving the bacterium to derive a dispersant solution therefrom; and contacting the dispersant solution with a hydrocarbon to disperse the hydrocarbon. Moreover, a method for preparing a dispersant solution includes the following steps: providing a bacterium selected from the following group: ATCC 75527, ATCC 75529, and ATCC 55638, a mutant of any one of these bacteria possessing all the identifying characteristics of any one of these bacteria, and mixtures thereof; and autoclaving the bacterium to derive a dispersant solution therefrom.
Methods for dispersing hydrocarbons using autoclaved bacteria
Tyndall, R.L.
1996-11-26
A method of dispersing a hydrocarbon includes the following steps: providing a bacterium selected from the following group: ATCC 85527, ATCC 75529, and ATCC 55638, a mutant of any one of these bacteria possessing all the identifying characteristics of any one of these bacteria, and mixtures; autoclaving the bacterium to derive a dispersant solution; and contacting the dispersant solution with a hydrocarbon to disperse the hydrocarbon. Moreover, a method for preparing a dispersant solution includes the following steps: providing a bacterium selected from the following group: ATCC 75527, ATCC 75529, and ATCC 55638, a mutant of any one of these bacteria possessing all the identifying characteristics of any one of these bacteria, and mixtures; and autoclaving the bacterium to derive a dispersant solution.
Polyfunctional dispersants for controlling viscosity of phyllosilicates
Chaiko, David J.
2006-07-25
This invention provides phyllosilicates and polyfunctional dispersants which can be manipulated to selectively control the viscosity of phyllosilicate slurries. The polyfunctional dispersants used in the present invention, which include at least three functional groups, increase the dispersion and exfoliation of phyllosilicates in polymers and, when used in conjunction with phyllosilicate slurries, significantly reduce the viscosity of slurries having high concentrations of phyllosilicates. The functional groups of the polyfunctional dispersants are capable of associating with multivalent metal cations and low molecular weight organic polymers, which can be manipulated to substantially increase or decrease the viscosity of the slurry in a concentration dependent manner. The polyfunctional dispersants of the present invention can also impart desirable properties on the phyllosilicate dispersions including corrosion inhibition and enhanced exfoliation of the phyllosilicate platelets.
I. M. Neklyudov; O. P. Ledenyov; L. I. Fedorova; P. Ya. Poltinin
2013-02-18
The main purpose of research is to determine the influence by the small dispersive coal dust particles of the different fractional consistence on the technical characteristics of the vertical iodine air filter at nuclear power plant. The research on the transport properties of the small dispersive coal dust particles in the granular filtering medium of absorber in the vertical iodine air filter is completed in the case, when the modeled aerodynamic conditions are similar to the real aerodynamic conditions. It is shown that the appearance of the different fractional consistence of small dispersive coal dust particles with the decreasing dimensions down to the micro and nano sizes at the action of the air dust aerosol stream normally results in a significant change of distribution of the small dispersive coal dust particles masses in the granular filtering medium of an absorber in the vertical iodine air filter, changing the vertical iodine air filter aerodynamic characteristics. The precise characterization of the aerodynamic resistance of a model of the vertical iodine air filter is completed. The comparative analysis of the technical characteristics of the vertical and horizontal iodine air filters is also made.
GENETICS, BREEDING, AND MODELING Use of Lactation Curves for Analysis
Yandell, Brian S.
Department of Agricultural Economics. 4Department of Dairy Science. plot model, LHG = lactation within a herd lactation within a herd group (LHG) (10, 22, 23). Primiparous cows are more persistent, and lactation curves
Analysis of Attic Radiant Barrier Systems Using Mathematical Models
Fairey, P.; Swami, M.
1988-01-01
During the past six years, the Florida Solar Energy Center (FSEC) has conducted extensive experimental research on radiant barrier systems (RBS). This paper presents recent research on the development of mathematical attic models. Two levels...
Computer Modeling of Violent Intent: A Content Analysis Approach
Sanfilippo, Antonio P.; Mcgrath, Liam R.; Bell, Eric B.
2014-01-03
We present a computational approach to modeling the intent of a communication source representing a group or an individual to engage in violent behavior. Our aim is to identify and rank aspects of radical rhetoric that are endogenously related to violent intent to predict the potential for violence as encoded in written or spoken language. We use correlations between contentious rhetoric and the propensity for violent behavior found in documents from radical terrorist and non-terrorist groups and individuals to train and evaluate models of violent intent. We then apply these models to unseen instances of linguistic behavior to detect signs of contention that have a positive correlation with violent intent factors. Of particular interest is the application of violent intent models to social media, such as Twitter, that have proved to serve as effective channels in furthering sociopolitical change.
Parallel and Statistical Analysis and Modeling of Nanometer VLSI Systems
Liu, Xue-Xin
2013-01-01
4 MOR and GPU based power grid simulation 4.14.2.1 The problem of power grid simulation . . . . . 4.2.2An RLC model of power grid network. . . . .
Stochastic Modeling and Analysis of Pathway Regulation and Dynamics
Zhao, Chen
2012-07-16
called masters or canalizing genes. Characterizing and detecting such genes are thus highly valuable for the treatment of cancer. Chapter II is devoted to this task, where we present a Bayesian framework to model pathway interactions and then study...
Equalized on-chip interconnect : modeling, analysis, and design
Kim, Byungsub, 1978-
2010-01-01
This thesis work explores the use of equalization techniques to improve throughput and reduce power consumption of on-chip interconnect. A theoretical model for an equalized on-chip interconnect is first suggested to provide ...
Steady state load models for power system analysis
Cresswell, Charles
2009-01-01
The last full review of load models used for power system studies occurred in the 1980s. Since then, new types of loads have been introduced and system load mix has changed considerably. The examples of newly introduced ...
Annual Report On Regional Aquifer Modeling And Data Analysis
Lu, Zhiming
.................................................................................. 13 3.1 Estimates based on 2-D flow, measured hydraulic gradients and field-based hydraulic........................................................................... 19 4.2 Model Calibrations, Using New Water Level Data from R-wells
An Analysis of TRL-Based Cost and Schedule Models
Kenley, C. Robert
2012-04-30
The GAO's, NASA's, and the DoD's adoption of the technology readiness level (TRL) scale to improve technology management has led to the emergence of many TRL-based models that are used to monitor technology maturation, ...
Thermomechanics of hydrogen storage in metallic hydrides: modeling and analysis
Tomas Roubicek; Giuseppe Tomassetti
2013-09-12
A thermodynamically consistent mathematical model for hydrogen adsorption in metal hydrides is proposed. Beside hydrogen diffusion, the model accounts for phase transformation accompanied by hysteresis, swelling, temperature and heat transfer, strain, and stress. We prove existence of solutions of the ensuing system of partial differential equations by a carefully-designed, semi-implicit approximation scheme. A generalization for a drift-diffusion of multi-component ionized "gas" is outlined, too.
Robust Efficient Frontier Analysis with a Separable Uncertainty Model
2007-11-29
We consider MV analysis with n risky assets held over a period of time. ..... since it is the pointwise infimum of a family of linear functions. ...... for Circuit & System Solutions award 2003-CT-888, by JPL award I291856, by the Precourt. Institute ...
A Model-Theoretic Approach to Ordinal Analysis
Avigad, Jeremy
by Kot- larski and Ratajczyk (see [14, 19]). As a by-product, these methods also provide natural of an -large set of natural numbers. In con- trast to syntactic approaches that use cut elimination, and the extraction of constructive information from classical proofs. Since Gentzen, ordinal analysis has been
Modeling, analysis and simulation of "AC inductor" based converters
for current sourcing applications, such as battery chargers, where differences between the average input.g. 2-8]. II. LARGE SIGNAL ANALYSIS OF THE "AC INDUCTOR" BASED CHARGERS To describe the behavior of AC inductor topologies, we first consider the non-isolated charger shown in Fig. 1. Isolation can be obtained
Design theoretic analysis of three system modeling frameworks.
McDonald, Michael James
2007-05-01
This paper analyzes three simulation architectures from the context of modeling scalability to address System of System (SoS) and Complex System problems. The paper first provides an overview of the SoS problem domain and reviews past work in analyzing model and general system complexity issues. It then identifies and explores the issues of vertical and horizontal integration as well as coupling and hierarchical decomposition as the system characteristics and metrics against which the tools are evaluated. In addition, it applies Nam Suh's Axiomatic Design theory as a construct for understanding coupling and its relationship to system feasibility. Next it describes the application of MATLAB, Swarm, and Umbra (three modeling and simulation approaches) to modeling swarms of Unmanned Flying Vehicle (UAV) agents in relation to the chosen characteristics and metrics. Finally, it draws general conclusions for analyzing model architectures that go beyond those analyzed. In particular, it identifies decomposition along phenomena of interaction and modular system composition as enabling features for modeling large heterogeneous complex systems.
Shi, Z.; Thomey, M. L.; Mowll, W.; Litvak, M.; Brunsell, Nathaniel A.; Collins, S. L.; Pockman, W. T.; Smith, M. D.; Knapp, A. K.; Luo, Y.
2014-02-04
Extremes in climate may severely impact ecosystem structure and function, with both the magnitude and rate of response differing among ecosystem types and processes. We conducted a modeling analysis of the effects of extreme ...
Failure Analysis and Reliability Model Development for Microsystems-Enabled Photovoltaics
Failure Analysis and Reliability Model Development for Microsystems- Enabled Photovoltaics Benjamin, 87185, USA Abstract -- Microsystems-enabled photovoltaics (MEPV) has great potential to meet increasing demands for light-weight, photovoltaic solutions with high power density and efficiency. This paper
CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions
Webster, Tom; Benedek, Corinne; Bauman, Fred
2008-01-01
Building Maintenance and Repair Cost Reference. ” WhitestoneJ. Wallis and H. Lin. 2008. “CBE UFAD Cost Analysis Tool:UFAD First Cost Model, Issues and Assumptions. ” Center for
Wiggins, Vince L.
1996-01-01
recently demonstrated capabilities in areas important to personnel research such as statistical analysis, decision modeling, control, and forecasting. An extensive review of the neural network literature indicates that these networks have proven superior...
Zhu, Hong
Analysis to Software Quality Modelling Hong Zhu, Yanlong Zhang, Qingning Huo and Sue Greenwood Dept | sgreenwood) @brookes.ac.uk Abstract Quality is a fundamental concept in software and information system for understanding, measuring and predicting qualities of software and information systems. It has been recognised
A Model of the Statistical Power of Comparative Genome Sequence Analysis
Eddy, Sean
A Model of the Statistical Power of Comparative Genome Sequence Analysis Sean R. Eddy Howard Hughes, Missouri, United States of America Comparative genome sequence analysis is powerful, but sequencing genomes is expensive. It is desirable to be able to predict how many genomes are needed for comparative genomics
A model of the statistical power of comparative genome sequence analysis
Eddy, Sean
A model of the statistical power of comparative genome sequence analysis Sean R. Eddy Howard Hughes genome sequence analysis is powerful, but sequencing genomes is expensive. It is desirable to be able to predict how many genomes are needed to achieve a particular statistical power in comparative analyses
Modeling and Analysis of Thread-Pools ? in an Industrial Communication Platform
Yi, Wang
the use of the Credo tool suite in order to capture the various aspects of thread pools and provide a general framework for their analysis. The Credo tool suite offers a methodology for the top-down design by the EU-project IST-33826 Credo: Modeling and analysis of evolutionary structures for distributed services
Smart balloon observations over the North Atlantic: O3 data analysis and modeling
Thompson, Anne
Smart balloon observations over the North Atlantic: O3 data analysis and modeling Huiting Mao,1) field campaign in JulyAugust 2004. Our analysis utilized measurements of O3 from three smart balloons. Talbot, D. Troop, R. Johnson, S. Businger, and A. M. Thompson (2006), Smart balloon observations over
Linear Compositional Delay Model for the Timing Analysis of Sub-Powered Combinational Circuits
Linear Compositional Delay Model for the Timing Analysis of Sub-Powered Combinational Circuits the propagation delay through nanometer CMOS circuits is highly desirable. Statistical Static Timing Analysis to accurately capture the circuit behaviour. In view of this we introduce an Inverse Gaussian Distribution (IGD
Post-Click Conversion Modeling and Analysis for Non-Guaranteed Delivery Display Advertising
Rosales, Rómer E.
Post-Click Conversion Modeling and Analysis for Non-Guaranteed Delivery Display Advertising Rómer advertising, the click-trough rate (CTR) has been traditionally a key measure of ad/ cam- paign effectiveness advertising. In particular we focus on the post-click conversion (PCC) problem or the analysis of con
Efficiency analysis of a pneu-mechanical Wave Energy Converter : model of the device losses,
Psaltis, Demetri
ENAC/ Efficiency analysis of a pneu-mechanical Wave Energy Converter : model of the device losses. Van Herle 1 Mots Clés: Efficiency Analysis, Power Take Off, Renewable Energy, WEC, Wave Energy. 1 have been focused on the efficiency of the different technologies on a test rig and building
A MultiPhase Power Flow Model for Grid Analysis A. P. Sakis Meliopoulos
A MultiPhase Power Flow Model for µµµµGrid Analysis A. P. Sakis Meliopoulos School of Electrical power system with distributed energy sources forming a microgrid (µGrid). The µGrid is a radial multiphase power flow analysis method that provides exact solution to the operation of the µGrid under steady
An analysis of humor orientation on Facebook: A lens model approach
Pennington, Natalie; Hall, Jeffrey A.
2014-02-01
This article presents the results of a mixed method analysis of the use and perception of humor orientation (HO) on Facebook (FB) profiles (N?=?100). Results of the lens model analysis suggest that a variety of profile cues, not just those directly...
Challenges in the Modeling and Quantitative Analysis of Safety-Critical Automotive Systems!
Leue, Stefan
Challenges in the Modeling and Quantitative Analysis of Safety-Critical Automotive Systems! #12;Joint work with! 2! Matthias Kuntz and Bernd Reh TRW Automotive Stefan Leue Univeristy of Konstanz #12;Outline! ! Safety-Critical Automotive Systems! Safety Analysis Methods in the Automotive Domain
Kaon dispersion relation and flow in relativistic heavy-ion collisions
Li, Ba; Ko, Che Ming.
1996-01-01
Within the framework of a relativistic transport model (ART) for heavy-ion collisions at AGS energies, we examine the effects of a kaon dispersion relation on the transverse flow of kaons and their transverse momentum and ...
Particle dispersion within zonal jets in two-layer beta-plane turbulence
Roman, Jennifer Claire
1996-01-01
Passive tracer dispersion is studied in a two-layer, quasigeostrophic, betaplane model in which persistent, steady, zonal jets are observed. Particle trajectories and statistics are examined for barriers to or mechanisms for mixing. Simulations...
Simulation of accidental UF/sub 6/ releases in support of the safety analysis effort
Just, R.A.
1986-01-01
The safety analysis of the US uranium enrichment facilities requires that postulated accidental releases of UF/sub 6/ be simulated. In order to predict the human health consequences of a postulated UF/sub 6/ release, two types of information are needed: (1) predicted toxicant concentrations and exposure durations at pertinent locations (calculated by a dispersion model), and (2) toxicity data which support the assessment of the human health consequences of a known exposure to a mixture of UF/sub 6/ and UF/sub 6/ hydrolysis products. This report describes the development of a Gaussian dispersion model for simulating UF/sub 6/ dispersion and the plans for developing a puff dispersion model.
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)
Not Available
2011-10-01
The energy market is diversifying. In addition to traditional power sources, decision makers can choose among solar, wind, and geothermal technologies as well. Each of these technologies has complex performance characteristics and economics that vary with location and other project specifics, making it difficult to analyze the viability of such projects. But that analysis is easier now, thanks to the National Renewable Energy Laboratory (NREL).
Structural Modeling and Analysis of Structures in Aorta Images
Xu, Hai
2012-10-19
). ........................ 10 Figure 4. A synthetic binary image consisting of five sinusoidal curves was used to verify the accuracy of my Radon Transform (RT) algorithm. ............ 14 Figure 5. Computed angle for the principal (circumferential) direction estimated...) thickness across the arterial wall. In this dissertation, I propose an image analysis scheme to delineate spatial patterns of EL such as changes in its thickness across the arterial wall. Key features of my scheme include: 1) a Radon Transform based...
Analysis and Modeling of Parasitic Capacitances in Advanced Nanoscale Devices
Bekal, Prasanna
2012-07-16
Graphics Corporation, 2011. [7] ?Predictive Technology Model (PTM).? [Online]. http://ptm.asu.edu [8] H.-H. Tsai, C.-L. Yu, and C.-Y. Wu, ?A Bird's Beak Reduction Technique for LOCOS in VLSI Fabrication,? IEEE Electron Device Letters, vol. 7, no. 2, pp... AND MODELING OF PARASITIC CAPACITANCES IN ADVANCED NANOSCALE DEVICES A Thesis by PRASANNA BEKAL Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE...
On the application of computational fluid dynamics codes for liquefied natural gas dispersion.
Luketa-Hanlin, Anay Josephine; Koopman, Ronald P.; Ermak, Donald
2006-02-01
Computational fluid dynamics (CFD) codes are increasingly being used in the liquefied natural gas (LNG) industry to predict natural gas dispersion distances. This paper addresses several issues regarding the use of CFD for LNG dispersion such as specification of the domain, grid, boundary and initial conditions. A description of the k-{var_epsilon} model is presented, along with modifications required for atmospheric flows. Validation issues pertaining to the experimental data from the Burro, Coyote, and Falcon series of LNG dispersion experiments are also discussed. A description of the atmosphere is provided as well as discussion on the inclusion of the Coriolis force to model very large LNG spills.
In silico metabolic pathway modeling and analysis of Mycoplasma pneumoniae
or microorganism. This method can be accomplished by step-by-step approach to resolve and verify the uncertainties of the metabolic model [2, 5]. Mycoplasma pneumoniae is a pathogen causing atypical pneumonia in human beings, and pathogenicity related studies have been extensively carried out [3]. Basic studies of M. pneumoniae were
High Resolution PV Power Modeling for Distribution Circuit Analysis
Norris, B. L.; Dise, J. H.
2013-09-01
NREL has contracted with Clean Power Research to provide 1-minute simulation datasets of PV systems located at three high penetration distribution feeders in the service territory of Southern California Edison (SCE): Porterville, Palmdale, and Fontana, California. The resulting PV simulations will be used to separately model the electrical circuits to determine the impacts of PV on circuit operations.
Analysis of a finite element formulation for modelling phase separation
Wells, G N; Garikipati, Krishna
2007-01-01
The Cahn-Hilliard equation is of importance in materials science and a range of other fields. It represents a diffuse interface model for simulating the evolution of phase separation in solids and fluids, and is a nonlinear fourth-order parabolic...
Modeling an optical magnetometer with electronic circuits Analysis and optimization
, and bandwidths of the sensors, as well as their different sizes, prices, and maintenance costs [1]. Currently 6 3.2 Model verification 7 3.3 Different detection scheme in self-oscillation mode 8 3.3.1 Pump-probe arrangement with balanced polarimeter 8 3.3.2 Pump-probe arrangement with nearly-crossed polarizer 9 3
Water Rights Analysis Package (WRAP) Modeling System Reference Manual
Wurbs, R.
2012-10-01
Inflows and Outflows ............................................................................................... 96 Hydroelectric Energy Generation ....................................................................................... 96 Instream... contributed to development and improvement of the model. The original WRAP, initially called TAMUWRAP, stemmed from a 1986-1988 research project at Texas A&M University, entitled Optimizing Reservoir System Operations, which was sponsored by a federal...
Modeling Techniques for a Risk Analysis Methodology for Software Systems
instrumentation and control (I&C) systems for nuclear power plant system upgrades. (Arndt 2002) These approaches for nuclear power plant system upgrades. These approaches are directed towards analyzing the change in risk, System Modeling, UML, Z, EVES, Fault Trees #12;3 Abstract The U.S. Nuclear Regulatory Commission (NRC
Analysis of WACSIS data using a directional hybrid wave model
Zhang, Shaosong
2007-04-25
and consistent estimates of the energy spreading parameter and mean wave direction of directional seas based on a cosine-2s model. In this approach, a Maximum Likelihood Method (MLM) is employed. Because it is more tolerant of errors in the estimated cross...
Water Rights Analysis Package (WRAP) Modeling System Users Manual
Wurbs, R
2012-10-01
........................................................................................... 88 TSR Record ? Repeat of Another Target Series ............................................................. 89 WS Record ? Reservoir Storage Associated with a Water Right .................................. 90 HP Record ? Hydroelectric Power..., and hydroelectric power requirements. Water balance computations are performed for each month of the hydrologic simulation period. Flexibility is provided for adaptation to a broad range of modeling approaches. Typically, a simulation will be based...
Nuisance Source Population Modeling for Radiation Detection System Analysis
Sokkappa, P; Lange, D; Nelson, K; Wheeler, R
2009-10-05
A major challenge facing the prospective deployment of radiation detection systems for homeland security applications is the discrimination of radiological or nuclear 'threat sources' from radioactive, but benign, 'nuisance sources'. Common examples of such nuisance sources include naturally occurring radioactive material (NORM), medical patients who have received radioactive drugs for either diagnostics or treatment, and industrial sources. A sensitive detector that cannot distinguish between 'threat' and 'benign' classes will generate false positives which, if sufficiently frequent, will preclude it from being operationally deployed. In this report, we describe a first-principles physics-based modeling approach that is used to approximate the physical properties and corresponding gamma ray spectral signatures of real nuisance sources. Specific models are proposed for the three nuisance source classes - NORM, medical and industrial. The models can be validated against measured data - that is, energy spectra generated with the model can be compared to actual nuisance source data. We show by example how this is done for NORM and medical sources, using data sets obtained from spectroscopic detector deployments for cargo container screening and urban area traffic screening, respectively. In addition to capturing the range of radioactive signatures of individual nuisance sources, a nuisance source population model must generate sources with a frequency of occurrence consistent with that found in actual movement of goods and people. Measured radiation detection data can indicate these frequencies, but, at present, such data are available only for a very limited set of locations and time periods. In this report, we make more general estimates of frequencies for NORM and medical sources using a range of data sources such as shipping manifests and medical treatment statistics. We also identify potential data sources for industrial source frequencies, but leave the task of estimating these frequencies for future work. Modeling of nuisance source populations is only useful if it helps in understanding detector system performance in real operational environments. Examples of previous studies in which nuisance source models played a key role are briefly discussed. These include screening of in-bound urban traffic and monitoring of shipping containers in transit to U.S. ports.
High-throughput generation, optimization and analysis of genome-scale metabolic models.
Henry, C. S.; DeJongh, M.; Best, A. A.; Frybarger, P. M.; Linsay, B.; Stevens, R. L.
2010-09-01
Genome-scale metabolic models have proven to be valuable for predicting organism phenotypes from genotypes. Yet efforts to develop new models are failing to keep pace with genome sequencing. To address this problem, we introduce the Model SEED, a web-based resource for high-throughput generation, optimization and analysis of genome-scale metabolic models. The Model SEED integrates existing methods and introduces techniques to automate nearly every step of this process, taking {approx}48 h to reconstruct a metabolic model from an assembled genome sequence. We apply this resource to generate 130 genome-scale metabolic models representing a taxonomically diverse set of bacteria. Twenty-two of the models were validated against available gene essentiality and Biolog data, with the average model accuracy determined to be 66% before optimization and 87% after optimization.
Timevarying coe#cient models for the analysis of air pollution and health outcome data
Bath, University of
Timevarying coe#cient models for the analysis of air pollution and health outcome data Duncan Lee and Gavin Shaddick Abstract In this paper, a timevarying coe#cient model is developed for air pollution and mortality data, which allows for an interaction between the e#ect of air pollution and time. Such temporal e
Integrated Modeling, Finite-Element Analysis, and Engineering Design for Thin-Shell
Schroeder, Peter
Integrated Modeling, Finite-Element Analysis, and Engineering Design for Thin-Shell Structures transfer between the geometric design and finite-element anal- ysis tools. No cumbersome remodeling.S.A. Abstract Many engineering design applications require geometric modeling and mechanical simulation of thin
Analysis of Molten Carbonate Fuel Cell Performance Using a Three-Phase Homogeneous Model
Popov, Branko N.
Analysis of Molten Carbonate Fuel Cell Performance Using a Three-Phase Homogeneous Model N-phase homogeneous model was developed to simulate the performance of the molten carbonate fuel cell MCFC cathode received June 18, 2002. Available electronically November 15, 2002. Molten carbonate fuel cells MCFCs
Power Systems Engineering Research Center Modeling, Analysis and Deployment of High PV
Van Veen, Barry D.
Power Systems Engineering Research Center Modeling, Analysis and Deployment of High PV Penetration with field measurements. The model corresponds to an actual PV and DAS installation by Arizona Public Service and about 125 rooftop residential PV systems and two large scale PV systems. The total installed PV capacity
Mathematical Analysis of a model describing the invasion of bacteria in burn wounds #
Eindhoven, Technische Universiteit
and references). The rapid development of antibiotic resistance among bacteria has added urgency to the taskMathematical Analysis of a model describing the invasion of bacteria in burn wounds # D. Hilhorst arises as a model for host tissue degradation by bacteria and involves a parameter describing
Analysis and Simulation of a Meso-scale Model of Diffusive Resistance of Bacterial Biofilms to
Demaret, Laurent
Analysis and Simulation of a Meso-scale Model of Diffusive Resistance of Bacterial Biofilms Most bacteria live in biofilm communities, which offer protection against harmful external impacts mathematical model that focuses on the diffusive resistance that a growing biofilm exerts against penetration
Mathematical Analysis of a model describing the invasion of bacteria in burn wounds
Eindhoven, Technische Universiteit
and references). The rapid development of antibiotic resistance among bacteria has added urgency to the taskMathematical Analysis of a model describing the invasion of bacteria in burn wounds D. Hilhorst arises as a model for host tissue degradation by bacteria and involves a parameter describing
Realistic Plant Modeling from Images based on Analysis-by-Synthesis
Grigoras, .Romulus
Realistic Plant Modeling from Images based on Analysis-by-Synthesis Anonymous Paper ID 019 Abstract. Plants are essential elements of virtual worlds to get pleas- ant and realistic 3D environments. Even to high complexity of plant topology, dedicated methods for gen- erating 3D plant models must be devised
Nagurney, Anna
A Network Equilibrium Framework for Internet Advertising: Models, Qualitative Analysis engaged in Internet advertising among multiple websites. The model allows for the determination of both the equilibrium online advertising budget as well as the advertising expenditures on the different websites. We
THIN-FILM FLOWS WITH WALL SLIP: AN ASYMPTOTIC ANALYSIS OF HIGHER ORDER GLACIER FLOW MODELS
Fournier, John J.F.
THIN-FILM FLOWS WITH WALL SLIP: AN ASYMPTOTIC ANALYSIS OF HIGHER ORDER GLACIER FLOW MODELS, Cambridge, CB3 0ET, UK) [Received 6 January 2009. Revise 6 November 2009] Summary Free-surface thin film of the flow. Conversely, membrane or `free film' models are appropriate in situations where there is rapid
A topological analysis of the magnetic breakout model for an eruptive solar flare
Priest, Eric
A topological analysis of the magnetic breakout model for an eruptive solar flare BY RHONA MACLEAN model gives an elegant explanation for the onset of an eruptive solar flare, involving magnetic types of bifurcation. Keywords: solar flare; magnetic breakout; magnetic topology; solar corona 1
The Smooth Curvature Flexure Model: An Accurate, Low-Dimensional Approach for Robot Analysis
Haller, Gary L.
The Smooth Curvature Flexure Model: An Accurate, Low-Dimensional Approach for Robot Analysis Lael presents a new and comprehensive method of modeling robots having highly flexible members such as flexure of robotic hardware. A number of studies into the behavior of flexible link robots have been conducted, often
Modeling and Analysis of Energy Harvesting Nodes in Wireless Sensor Networks
Sikdar, Biplab
Modeling and Analysis of Energy Harvesting Nodes in Wireless Sensor Networks Alireza Seyedi for energy harvesting nodes in wireless sensor networks is proposed. Using the pre- sented model, the probability of event loss due to energy run out as well as an analytical vulnerability metric, namely average
Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with
Bhatia, Sangeeta
Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex@tum.de Abstract--In this paper, we propose a new real-time retail pricing model characterized by ex and robustness properties than pure exant´e pricing. Index Terms--Real-Time Pricing, Market Stability, Economic
A Supply Chain Network Economy: Modeling and Qualitative Analysis Ding Zhang and June Dong
Nagurney, Anna
A Supply Chain Network Economy: Modeling and Qualitative Analysis Ding Zhang and June Dong School a general network model for a supply chain economy since it is now recognized that when it comes. This chapter is organized as follows. In Section 2, we introduce the concept of a supply chain economy
Analysis of a temperature-dependent model for adhesive contact with Elena Bonetti
Rossi, Riccarda
Analysis of a temperature-dependent model for adhesive contact with friction Elena Bonetti , Giovanna Bonfanti , and Riccarda Rossi Abstract We propose a model for (unilateral) contact with adhesion´emond's approach, adhesion is described in terms of a surface damage parameter . The related equations
Dinner, Aaron
The Thermodynamics and Kinetics of Protein Folding: A Lattice Model Analysis of Multiple Pathways; In Final Form: May 5, 1999 The kinetics and thermodynamics of folding of a representative sequence of a 125-residue protein model subject to Monte Carlo dynamics on a simple cubic lattice were investigated
Monte Carlo model for analysis of thermal runaway electrons in streamer tips in transient luminous
Pasko, Victor
Monte Carlo model for analysis of thermal runaway electrons in streamer tips in transient luminous in transient luminous events (TLEs) termed sprites, which occur in the altitude range 4090 km in the Earth modeling results indicate that the $10 Ek fields are able to accelerate a fraction of low-energy (several e
Geosciences: Integrated Analysis for Development of 3D Models of Earth
Ward, Karen
Geosciences: Integrated Analysis for Development of 3D Models of Earth Structure PI: Aaron A Potrillo Seismic Experiment Gravity and Magnetics #12; Joint inversion of several datasets allows Employ optimization schemes to improve current methods Single inversion dataset #2 Improved model
Modeling and Analysis of Detection Time Trade-offs for Channel Searching in Cognitive
Roy, Sumit
and correlated channel model. We then highlight a key trade-off underlying the overall mean time to detect a free1 Modeling and Analysis of Detection Time Trade-offs for Channel Searching in Cognitive Radio, search scheme, sensing trade-off, optimal detection time. I. INTRODUCTION Large segments of the radio
Formal Modelling and Analysis of Business Information Applications with Fault Tolerant Middleware
Southampton, University of
Formal Modelling and Analysis of Business Information Applications with Fault Tolerant Middleware and the open Rodin tools platform to prove properties of models of business protocols and expose weaknesses are critical to the func- tioning of many businesses; designing them to be dependable is a challenging
Koutsoukos, Xenofon D.
Biodiesel Sim: Crowdsourcing Simulations for Complex Model Analysis Derek Riley, Xiaowei Zhang Computation, Biodiesel Abstract Biodiesel is an alternative fuel source that can be easily made by novices of the proces- sor. A biodiesel processor is a complex system that can be modeled and simulated using formal
A column based variance analysis approach to static reservoir model upgridding
Talbert, Matthew Brandon
2008-10-10
number of layers is then selected based on an analysis resulting in a minimum loss of heterogeneity. We demonstrate the validity of the optimal gridding by applying our method to a history matched waterflood in a structurally complex and faulted... distribution ............................................ 19 9 81 layer model, Sand A permeability distribution ..................................... 20 10 81 layer model, Sand B permeability distribution ...................................... 20...
Int. J. , Vol. x, No. x, xxxx 1 Modelling and Analysis of Service Parts Logistics Systems
Rossetti, Manuel D.
Int. J. , Vol. x, No. x, xxxx 1 Modelling and Analysis of Service Parts Logistics Systems Fernando, the behaviour of the service parts logistics system (SPLS) is approximated with a modified M/G/1 HOL queuing policy. Keywords: Service parts logistics, optimisation, genetic algorithms, M/G/1 queuing model
Delay correlation analysis and representation for vital complaint VHDL models
Rich, Marvin J.; Misra, Ashutosh
2004-11-09
A method and system unbind a rise/fall tuple of a VHDL generic variable and create rise time and fall time generics of each generic variable that are independent of each other. Then, according to a predetermined correlation policy, the method and system collect delay values in a VHDL standard delay file, sort the delay values, remove duplicate delay values, group the delay values into correlation sets, and output an analysis file. The correlation policy may include collecting all generic variables in a VHDL standard delay file, selecting each generic variable, and performing reductions on the set of delay values associated with each selected generic variable.
Hydrogen Analysis (H2A) Production Component Model
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Financing Tool Fits the Bill FinancingDepartment ofPower OutagesWouldHydraulic InstituteAnalysis
project development. The TAMS application integrates custom simulation and modeling applications with data gases, increasing the use of renewable energy, and improving overall security and system resiliency, modeling, simulation, and visualization tools. The TAMS application was developed to help the United States
Method of dispersing a hydrocarbon using bacteria
Tyndall, Richard L. (Clinton, TN)
1996-01-01
New protozoan derived microbial consortia and method for their isolation are provided. Consortia and bacteria isolated therefrom are useful for treating wastes such as trichloroethylene and trinitrotoluene. Consortia, bacteria isolated therefrom, and dispersants isolated therefrom are useful for dispersing hydrocarbons such as oil, creosote, wax, and grease.
Method of dispersing a hydrocarbon using bacteria
Tyndall, R.L.
1996-09-24
A new protozoan derived microbial consortia and method for their isolation are provided. The isolated consortia and bacteria are useful for treating wastes such as trichloroethylene and trinitrotoluene. The isolated consortia, bacteria, and dispersants are useful for dispersing hydrocarbons such as oil, creosote, wax, and grease.
Electrical properties of dispersions of graphene in mineral oil
Monteiro, O. R.
2014-02-03
Dispersions of graphene in mineral oil have been prepared and electrical conductivity and permittivity have been measured. The direct current (DC) conductivity of the dispersions depends on the surface characteristics of the graphene platelets and followed a percolation model with a percolation threshold ranging from 0.05 to 0.1?wt. %. The difference in DC conductivities can be attributed to different states of aggregation of the graphene platelets and to the inter-particle electron transfer, which is affected by the surface radicals. The frequency-dependent conductivity (?(?)) and permittivity (?(?)) were also measured. The conductivity of dispersions with particle contents much greater than the percolation threshold remains constant and equal to the DC conductivity at low frequencies ? with and followed a power-law ?(?)???{sup s} dependence at very high frequencies with s?0.9. For dispersions with graphene concentration near the percolation threshold, a third regime was displayed at intermediate frequencies indicative of interfacial polarization consistent with Maxwell-Wagner effect typically observed in mixtures of two (or more) phases with very distinct electrical and dielectric properties.
Gross-Neveu and Thirring models. Covariant Gaussian analysis
Rosenstein, B.; Kovner, A.
1989-07-15
Two-dimensional fermionic theories, the SU(/ital N/) Gross-Neveu and themassive Thirring models, are analyzed in the covariant Gaussian approximation.In the Gross-Neveu model we find three phases (renormalizations). In one ofthem the results coincide with the leading order in 1//ital N/ expansion. Inthe other two phases the gap equation has no solution and there are nofermionic excitations in the spectrum of the theory. It is argued that thoserenormalizations are relevant for /ital N/=1,2. The massive Thirringmodel is found to possess a line of ultraviolet fixed points. In the limit/ital m//sub /ital b///r arrow/0 the axial symmetry is not broken. The 2/r arrow/2/ital S/-matrix element for the nonasymptotically free phase is calculated andit qualitatively agrees with the exact expression. We also find anasymptotically free phase with vanishing bare coupling.
Thermomechanics of damageable materials under diffusion:modeling and analysis
Tomas Roubicek; Giuseppe Tomassetti
2014-12-16
We propose a thermodynamically consistent general-purpose model describing diffusion of a solute or a fluid in a solid undergoing possible phase transformations and damage, beside possible visco-inelastic processes. Also heat generation/consumption/transfer is considered. Damage is modelled as rate-independent. The applications include metal-hydrogen systems with metal/hydride phase transformation, poroelastic rocks, structural and ferro/para-magnetic phase transformation, water and heat transport in concrete, and, if diffusion is neglected, plasticity with damage and viscoelasticity, etc. For the ensuing system of partial differential equations and inclusions, we prove existence of solutions by a carefully devised semi-implicit approximation scheme of the fractional-step type.
Modeling and Analysis of Solar Radiation Potentials on Building Rooftops
Omitaomu, Olufemi A [ORNL; Kodysh, Jeffrey B [ORNL; Bhaduri, Budhendra L [ORNL
2012-01-01
The active application of photovoltaic for electricity generation could effectively transform neighborhoods and commercial districts into small, localized power plants. This application, however, relies heavily on an accurate estimation of the amount of solar radiation that is available on individual building rooftops. While many solar energy maps exist at higher spatial resolution for concentrated solar energy applications, the data from these maps are not suitable for roof-mounted photovoltaic for several reasons, including lack of data at the appropriate spatial resolution and lack of integration of building-specific characteristics into the models used to generate the maps. To address this problem, we have developed a modeling framework for estimating solar radiation potentials on individual building rooftops that is suitable for utility-scale applications as well as building-specific applications. The framework uses light detection and ranging (LIDAR) data at approximately 1-meter horizontal resolution and 0.3-meter vertical resolution as input for modeling a large number of buildings quickly. One of the strengths of this framework is the ability to parallelize its implementation. Furthermore, the framework accounts for building specific characteristics, such as roof slope, roof aspect, and shadowing effects, that are critical to roof-mounted photovoltaic systems. The resulting data has helped us to identify the so-called solar panel sweet spots on individual building rooftops and obtain accurate statistics of the variation in solar radiation as a function of time of year and geographical location.
Analysis of spherically symmetric black holes in Braneworld models
A. B. Pavan
2010-05-25
Research on black holes and their physical proprieties has been active on last 90 years. With the appearance of the String Theory and the Braneworld models as alternative descriptions of our Universe, the interest on black holes, in these context, increased. In this work we studied black holes in Braneworld models. A class of spherically symmetric black holes is investigaded as well its stability under general perturbations. Thermodynamic proprieties and quasi-normal modes are discussed. The black holes studied are the SM (zero mass) and CFM solutions, obtained by Casadio {\\it et al.} and Bronnikov {\\it et al.}. The geometry of bulk is unknown. However the Campbell-Magaard Theorem guarantees the existence of a 5-dimensional solution in the bulk whose projection on the brane is the class of black holes considered. They are stable under scalar perturbations. Quasi-normal modes were observed in both models. The tail behavior of the perturbations is the same. The entropy upper bound of a body absorved by the black holes studied was calculated. This limit turned out to be independent of the black hole parameters.
Awadalla, N.G.; Eaton, S.C.F.
1996-09-04
This document is the verification and validation final report for the Decision Analysis Model for Assessment of Tank Waste Remediation System Waste Treatment Strategies. This model is also known as the INSIGHT Model.
A multifaceted approach to applying dispersants
Crain, O.L.
1982-10-01
A comprehensive oil spill response plan has been developed partially to deal with accidental discharges of oil into the Arabian Gulf. The spill response capabilities of contractor companies in the area are fairly limited. The response plan relies on chemical agents and recovery as cleanup tools. The key to effective response is a rapid response and deployment of cleanup equipment. Initially, marine vessels equipped with portable dispersant spray booms patterned after the Warren Springs equipment were used. To improve existing oil spill response, an extensive modernization of dispersant deployment equipment has been developed. The areas of modernization include upgrading the marine vessel equipment, dedicating boats and vessels of opportunity for dispersant application, using helicopters for spill response, using large fixed-wing aircraft for spill response, and establishing dispersant and refueling stockpiles. This paper discusses the use of dispersants in response to an oil spill. It is intended not as a scientific paper but as a paper on a local response capability.
Development of a UF{sub 6} cylinder transient heat transfer/stress analysis model
Williams, W.R. [Martin Marietta Energy Systems, Inc., Oak Ridge, TN (United States)
1991-12-31
A heat transfer/stress analysis model is being developed to simulate the heating to a point of rupture of a cylinder containing UF{sub 6} when it is exposed to a fire. The assumptions underlying the heat transfer portion of the model, which has been the focus of work to date, will be discussed. A key aspect of this model is a lumped parameter approach to modeling heat transfer. Preliminary results and future efforts to develop an integrated thermal/stress model will be outlined.
Characteristics of identifying linear dynamic models from impulse response data using Prony analysis
Trudnowski, D.J.
1992-12-01
The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general rules-of-thumb'' for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.
Characteristics of identifying linear dynamic models from impulse response data using Prony analysis
Trudnowski, D.J.
1992-12-01
The purpose of the study was to investigate the characteristics of fitting linear dynamic models to the impulse response of oscillatory dynamic systems using Prony analysis. Many dynamic systems exhibit oscillatory responses with multiple modes of oscillations. Although the underlying dynamics of such systems are often nonlinear, it is frequently possible and very useful to represent the system operating about some set point with a linear model. Derivation of such linear models can be done using two basic approaches: model the system using theoretical derivations and some linearization method such as a Taylor series expansion; or use a curve-fitting technique to optimally fit a linear model to specified system response data. Prony analysis belongs to the second class of system modeling because it is a method of fitting a linear model to the impulse response of a dynamic system. Its parallel formulation inherently makes it well suited for fitting models to oscillatory system data. Such oscillatory dynamic effects occur in large synchronous-generator-based power systems in the form of electromechanical oscillations. To study and characterize these oscillatory dynamics, BPA has developed computer codes to analyze system data using Prony analysis. The objective of this study was to develop a highly detailed understanding of the properties of using Prony analysis to fit models to systems with characteristics often encountered in power systems. This understanding was then extended to develop general ``rules-of-thumb`` for using Prony analysis. The general characteristics were investigated by performing fits to data from known linear models under controlled conditions. The conditions studied include various mathematical solution techniques; different parent system configurations; and a large variety of underlying noise characteristics.
Wetland model in an earth systems modeling framework for regional environmental policy analysis
Awadalla, Sirein Salah
2011-01-01
The objective of this research is to investigate incorporating a wetland component into a land energy and water fluxes model, the Community Land Model (CLM). CLM is the land fluxes component of the Integrated Global Systems ...
Modeling and estimation in Gaussian graphical models : maximum-entropy methods and walk-sum analysis
Chandrasekaran, Venkat
2007-01-01
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fields such as computer vision, image processing, ...