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Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Property:Simulated Beach | Open Energy Information  

Open Energy Info (EERE)

Simulated Beach Simulated Beach Jump to: navigation, search Property Name Simulated Beach Property Type String Pages using the property "Simulated Beach" Showing 25 pages using this property. (previous 25) (next 25) 1 1.5-ft Wave Flume Facility + No + 10-ft Wave Flume Facility + No + 11-ft Wave Flume Facility + No + 2 2-ft Flume Facility + No + 3 3-ft Wave Flume Facility + No + 5 5-ft Wave Flume Facility + No + 6 6-ft Wave Flume Facility + No + A Alden Large Flume + No + Alden Small Flume + No + Alden Wave Basin + Yes + B Breakwater Research Facility + No + C Carderock Maneuvering & Seakeeping Basin + Yes + Carderock Tow Tank 2 + Yes + Carderock Tow Tank 3 + Yes + Chase Tow Tank + No + Coastal Harbors Modeling Facility + No + Coastal Inlet Model Facility + No +

2

Los Angeles and Long Beach Harbors Model | Open Energy Information  

Open Energy Info (EERE)

and Long Beach Harbors Model and Long Beach Harbors Model Jump to: navigation, search Basic Specifications Facility Name Los Angeles and Long Beach Harbors Model Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Wave Basin Length(m) 67.1 Beam(m) 79.2 Depth(m) 0.9 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.1 Maximum Wave Height(m) at Wave Period(s) 2.0 Wave Period Range(s) 2.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wave Direction Uni-Directional Simulated Beach Yes Description of Beach Point Fermin to Huntington Beach, CA Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities

3

Parameter assignment for improved connectivity and security in randomly deployed wireless sensor networks via hybrid omni/uni-directional antennas  

E-Print Network (OSTI)

Conguring a network system to operate at optimal levels of performance re-quires a comprehensive understanding of the eects of a variety of system parameterson crucial metrics like connectivity and resilience to network attacks. Traditionally,omni-directional antennas have been used for communication in wireless sensor net-works. In this thesis, a hybrid communication model is presented where-in, nodes ina network are capable of both omni-directional and uni-directional communication.The eect of such a model on performance in randomly deployed wireless sensor net-works is studied, specically looking at the eect of a variety of network parameterson network performance.The work in this thesis demonstrates that, when the hybrid communication modelis employed, the probability of 100% connectivity improves by almost 90% and thatof k-connectivity improves by almost 80% even at low node densities when comparedto the traditional omni-directional model. In terms of network security, it was foundthat the hybrid approach improves network resilience to the collision attack by almost85% and the cost of launching a successful network partition attack was increased byas high as 600%. The gains in connectivity and resilience were found to improve withincreasing node densities and decreasing antenna beamwidths.

Shankar, Sonu

2008-08-01T23:59:59.000Z

4

Ecological Impacts of Beach Grooming on Exposed Sandy Beaches  

E-Print Network (OSTI)

Beach Grooming on Exposed Sandy Beaches R/CZ-174 J.E. Dugan,of California, Santa Barbara Sandy beaches and associatedstructure and function of sandy beach ecosystems. We used a

Dugan, Jenifer E.; Hubbard, David M.; Page, Henry M.; Schimel, Joshua P.

2008-01-01T23:59:59.000Z

5

Ecological Impacts of Beach Grooming on Exposed Sandy Beaches  

E-Print Network (OSTI)

use of an exposed sandy beach in southern California.of grooming on exposed sandy beaches in southern California.of grooming on exposed sandy beaches in southern California.

Dugan, Jenifer

2003-01-01T23:59:59.000Z

6

Welcome to the Beach  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

the Beach the Beach Remember this is a "Working Group" Your participation is needed You will have home work Don't forget to have a least a little fun Be Present to Participate Put your cell phone on silent Store your blackberry If you really need to take a call or use your blackberry please step outside WASHINGTON UPDATE Federal Utility Partnership Working Group Meeting David McAndrew Cape Canaveral Cocoa Beach, Florida April 30, 2007 Presentation Overview  FEMP Happenings  Executive Order 13423  National Defense Authorization Act of 2007  Impact on UESCs  GSA Guidance on the use of the Areawide Changes at FEMP * David Rodgers Acting FEMP Program Manager * He is also Acting Deputy Assistant Secretary

7

California Beach Health: Evaluation of Grunion as an Indicator Species  

E-Print Network (OSTI)

California Grunion and Sandy Beaches: Considerations for theAbout Human Impacts on Sandy Beaches. Martin, K. Keynotescientists. Human Impacts on Sandy Beaches in California.

Martin, Karen

2008-01-01T23:59:59.000Z

8

Clean Cities: Long Beach Clean Cities coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Long Beach Clean Cities Coalition Long Beach Clean Cities Coalition The Long Beach Clean Cities coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. Long Beach Clean Cities coalition Contact Information Jannet Malig 562-860-2451 x2912 jmalig@cerritos.edu Rick Longobart 714-647-3348 rlongobart@santa-ana.org Clean Cities Coordinators Coord Jannet Malig Coord Coord Rick Longobart Coord Jannet Malig is a Clean Cities coordinator for Long Beach Clean Cities coalition. Long Beach Clean Cities Cerritos College 11111 New Falcon Way Cerritos, CA 90703 Rick Longobart is a Clean Cities coordinator for Long Beach Clean Cities coalition. Long Beach Clean Cities Finance & Management Services Agency 215 S. Center Street, Bldg #J M-83

9

Wisconsin Nuclear Profile - Point Beach Nuclear Plant  

U.S. Energy Information Administration (EIA) Indexed Site

Point Beach Nuclear Plant" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration...

10

Observations of the formation and maintenance of beach cusps on Del Monte Beach in Monterey, California .  

E-Print Network (OSTI)

??During the period of 5 April 2001 - 16 May 2001, topographic surveys of Del Monte beach in Monterey, California, were performed on a regular (more)

Miller, Gregory Chad.

2001-01-01T23:59:59.000Z

11

Lighthouse Solar Laguna Beach | Open Energy Information  

Open Energy Info (EERE)

Lighthouse Solar Laguna Beach Lighthouse Solar Laguna Beach Jump to: navigation, search Logo: Lighthouse Solar Laguna Beach Name Lighthouse Solar Laguna Beach Address 23151 Alcalde Dr. Suite 2-B Place Laguna Hills, CA Zip 92653 Sector Solar Phone number (949) 584-4800 Website http://www.lighthousesolar.com Coordinates 33.622678°, -117.725866° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.622678,"lon":-117.725866,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

12

Rip Channel Morphodynamics at Pensacola Beach, Florida  

E-Print Network (OSTI)

80% of all lifeguard related rescues along the beaches of northwest Florida are believed to be related to rip currents. A rip current is the strong flow of water, seaward extending from the beach to the breaker line. It has previously been shown that there are rip current hot spots at Pensacola Beach, forced by a ridge and swale topography offshore, but the annual evolution/behavior of these hotspots (i.e. location, size, frequency, and orientation) have not been examined in detail. Remote imagery from Casino Beach was rectified to a planar view in order to examine the rip channel characteristics. These characteristics were analyzed to determine variations and patterns on a daily, monthly, and seasonal basis and in relation to reset storms, wind and wave characteristics, and the beach states of Casino Beach in order to characterize the rip development and variation throughout a year. Beach states and rip configurations were impacted by many frontal storms and one tropical storm, which were classified as a reset storm when reconfigurations of the beach state and rips occurred. Given sufficient time between reset storms, the bar migrated onshore in a manner consistent with the Wright and Short (1984) model, transitioning from LBT, to RBB, and finally to TBR state. The lack of reset storms after March 2010 resulted in a large frequency of observed rip channels (64) between April and May. It is shown that these rip channels are clustered into 7 statistically significant groups based on their location alongshore at the 95 % confidence interval. It is argued that the rip channel clusters are a direct result of the wave forcing caused by the ridge and swale topography. This situation causes the bar to move onshore that without interruption of a reset storm will attach at certain locations creating a transverse bar and rip morphology. The bar appears to attach to the beach at consistent locations throughout the year creating similar rip locations and subsequently the rip clusters. The risk posed to beach users by these rip currents is concentrated in certain locations which are persistent throughout the year.

Labude, Daniel

2012-12-01T23:59:59.000Z

13

An integrated coastal modeling system for analyzing beach processes and beach restoration projects, SMC  

Science Conference Proceedings (OSTI)

A user-friendly system called coastal modeling system (SMC) has been developed by the Spanish Ministry of Environment and the University of Cantabria. The system includes several numerical models specifically developed for the application of the methodology ... Keywords: Beach nourishment, Beach project design, Coastal modeling, Coastal numerical model, Littoral GUI

M. Gonzlez; R. Medina; J. Gonzalez-Ondina; A. Osorio; F. J. Mndez; E. Garca

2007-07-01T23:59:59.000Z

14

New Sustainability Manager Delivers Savings for Delray Beach | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Sustainability Manager Delivers Savings for Delray Beach Sustainability Manager Delivers Savings for Delray Beach New Sustainability Manager Delivers Savings for Delray Beach July 30, 2010 - 3:13pm Addthis Metal halide light fixtures at Pompey Park are saving the City of Delray Beach money on its electricity bills. | Photo courtesy of the City of Delray Beach Metal halide light fixtures at Pompey Park are saving the City of Delray Beach money on its electricity bills. | Photo courtesy of the City of Delray Beach Delray Beach, Fla. had a good problem: Recovery Act funding to support the city's mission to reduce energy costs - but no seasoned pro to help realize those savings. Through an Energy Efficiency and Conservation Block Grant (EECBG), the South Florida city hired a former city manager to oversee projects that

15

Beaches Energy Services | Open Energy Information  

Open Energy Info (EERE)

Beaches Energy Services Beaches Energy Services Jump to: navigation, search Name Beaches Energy Services Place Florida Utility Id 9616 Utility Location Yes Ownership M NERC Location FRCC NERC FRCC Yes Activity Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Commercial General Service Demand - 60%-64% Load Factor Commercial General Service Demand - Load Factor 60%-64% - Photovoltaic customers Commercial General Service Demand - Load Factor 65%-69% Commercial General Service Demand - Load Factor 65%-69% - Photovoltaic customers

16

Wisconsin Nuclear Profile - Point Beach Nuclear Plant  

U.S. Energy Information Administration (EIA)

snpt3wi4046 506 3,954 89.2 PWR 512 4,336 96.7 1,018 8,291 93.0 Point Beach Nuclear Plant Unit Type Data for 2010 PWR = Pressurized Light Water Reactor. Note: Totals ...

17

Ormond Beach Triples Energy Cost Savings Projections | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Ormond Beach Triples Energy Cost Savings Projections Ormond Beach Triples Energy Cost Savings Projections Ormond Beach Triples Energy Cost Savings Projections July 9, 2013 - 1:56pm Addthis Thanks to funding from the Energy Department's Energy Efficiency and Conservation Block Grant Program, Ormond Beach was able to make energy efficiency upgrades to 16 city-owned buildings and is now saving more than $45,000 a year on its energy costs. | Photo courtesy of the City of Ormond Beach, Florida. Thanks to funding from the Energy Department's Energy Efficiency and Conservation Block Grant Program, Ormond Beach was able to make energy efficiency upgrades to 16 city-owned buildings and is now saving more than $45,000 a year on its energy costs. | Photo courtesy of the City of Ormond Beach, Florida. Christina Stowers

18

Ormond Beach Triples Energy Cost Savings Projections | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Ormond Beach Triples Energy Cost Savings Projections Ormond Beach Triples Energy Cost Savings Projections Ormond Beach Triples Energy Cost Savings Projections July 9, 2013 - 1:56pm Addthis Thanks to funding from the Energy Department's Energy Efficiency and Conservation Block Grant Program, Ormond Beach was able to make energy efficiency upgrades to 16 city-owned buildings and is now saving more than $45,000 a year on its energy costs. | Photo courtesy of the City of Ormond Beach, Florida. Thanks to funding from the Energy Department's Energy Efficiency and Conservation Block Grant Program, Ormond Beach was able to make energy efficiency upgrades to 16 city-owned buildings and is now saving more than $45,000 a year on its energy costs. | Photo courtesy of the City of Ormond Beach, Florida. Christina Stowers

19

Cleaning oil contaminated beaches with chemicals  

SciTech Connect

Oil-dispersing chemicals were treated for cleaning persistent-type crude oil from experimentally contaminated New Jersey coastal beaches and were found to be generally ineffective. Although they completely cleaned the surface of the oiled sand, they removed little of the total oil. Instead they caused the oil to penetrate more deeply into the underlying sand, thereby compounding the pollution problem by expanding the zone of pollution, complicating any subsequent mechanical removal and, possibly, causing the oil to persist longer. Chemical treatment failed to induce quicksand or cause perceptible erosion of beach sand. A decrease in the cohesiveness of the sand was observed, but this also occurred in the presence of oil alone and could not be attributed to the presence of chemical.

1969-08-01T23:59:59.000Z

20

Agassiz Beach Wind Farm | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Agassiz Beach Wind Farm Jump to: navigation, search Name Agassiz Beach Wind Farm Facility Agassiz Beach Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NAE/Enel North America Developer Northern Alternative Energy Energy Purchaser Xcel Energy Location Clay County MN Coordinates 46.8844°, -96.5042° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.8844,"lon":-96.5042,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

PSYCHO BEACH PARTY: A VOCAL AND PHYSICAL EXPLORATION OF GENDER.  

E-Print Network (OSTI)

??On September 24, 2009, Theatre VCU opened its production of Psycho Beach Party, written by Charles Busch and directed by Steve Perigard. In our production, (more)

Persinger, Megan

2010-01-01T23:59:59.000Z

22

Beaches Energy Services - Solar Water Heating Rebate Program | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Beaches Energy Services - Solar Water Heating Rebate Program Beaches Energy Services - Solar Water Heating Rebate Program Beaches Energy Services - Solar Water Heating Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Solar Water Heating Maximum Rebate One rebate per customer Rebates will not exceed purchase price Program Info State Florida Program Type Utility Rebate Program Rebate Amount Solar Water Heater: $500 Provider Beaches Energy Services Beaches Energy Services offers a solar water heating rebate to their residential customers. This $500 rebate applies to new systems which are properly installed and certified. New construction and solar pool heating systems do not qualify for the rebate payment. Systems must be installed by a licensed Florida contractor and must be FSEC certified. Rebates will not

23

New Smyrna Beach - Commercial Energy Efficiency Rebate Program | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

New Smyrna Beach - Commercial Energy Efficiency Rebate Program New Smyrna Beach - Commercial Energy Efficiency Rebate Program New Smyrna Beach - Commercial Energy Efficiency Rebate Program < Back Eligibility Commercial Fed. Government Industrial Local Government Nonprofit State Government Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Commercial Lighting Lighting Maximum Rebate LED Exit Signs: 5 units; $375 Window Solar Screens: $375 Insulation: $375 Program Info State Florida Program Type Utility Rebate Program Rebate Amount LED Exit Sign: 50% of sign costs, up to $75/sign Added Insulation: $0.125/sq. ft. of air conditioned space, up to $375 Window Solar Screens: $2/sq. ft., up to $375 Provider New Smyrna Beach Utilities Commission The Utilities Commission of New Smyrna Beach (UCNSB) is offering rebates to

24

ENERGY STAR Success Story VA Beach Convention Center  

NLE Websites -- All DOE Office Websites (Extended Search)

STAR Success Story: STAR Success Story: The Virginia Beach Convention Center Located in Virginia's most populous city, the Virginia Beach Convention Center (VBCC) comprises more than 516,000 square feet and typically hosts 400 events a year. Fully opened in 2007, the VBCC has served as the anchor for the successful revitalization of Virginia Beach's old beach district. With historical references and maritime themes integrated into the structure's modern design, the Center features many technological advances that make it a prime location for meetings, conferences, and trade shows. However, even with a newly constructed building, the VBCC has demonstrated an important energy management principle: all buildings, regardless of their age and building systems they employ, can reduce energy consumption, save money, and offset greenhouse gas

25

Eight: Heart of the City: Development at Redondo Beach  

E-Print Network (OSTI)

ibid. North-Hager, Eddie. Heart of City opponent wins RBKristin S. RB to Undo Heart of the City Zoning. DailyWayne. Where Did the Old Heart of Redondo Beach Go?

Moilanen, Renee

2006-01-01T23:59:59.000Z

26

Infragravity Edge Wave Observations on Two California Beaches  

Science Conference Proceedings (OSTI)

Wavenumber-frequency spectra of the infragravity (periods 20-200 sec) wave velocity field in the surf zone of two California beaches are estimated. Because the longshore arrays of biaxial electromagnetic current meters are relatively short (...

Joan Oltman-Shay; R. T. Guza

1987-05-01T23:59:59.000Z

27

Property:Description of Beach | Open Energy Information  

Open Energy Info (EERE)

Beach Beach Jump to: navigation, search Property Name Description of Beach Property Type Text Pages using the property "Description of Beach" Showing 24 pages using this property. A Alden Wave Basin + Designed as needed using commercially available sand/sediment C Carderock Maneuvering & Seakeeping Basin + Wave absorbers are a discontinuous 12 degree slope type made up of seven permeable layers of rectangular precast concrete bar panels resting on an impermeable beach, they are located along the full length of the two sides of the basin opposite the wavemaker units. Carderock Tow Tank 2 + The wave absorber spans the full width of the basin at the end opposite the wavemaker dome, the absorbers are a discontinuous 12 degree slope type made up of 12 permeable layers of rectangular precast concrete bar panels resting on an impermeable concrete slab supported by a structural steel framework, the center section of the absorber is of wood construction & can be raised and lowered as a unit to provide model access to and from the fitting-out dry dock located at the end of the basin.

28

Beach1 functionally antagonizes Rab11 during development and in regulating synaptic morphology  

E-Print Network (OSTI)

BEACH proteins comprise an evolutionarily conserved family characterized by the presence of a BEACH (Beige and Chediak-Higashi) domain of unknown function. They have been shown to play a role in a number of important ...

Khodosh, Rita

2005-01-01T23:59:59.000Z

29

New Smyrna Beach - Residential Energy Efficiency Rebate Program |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

New Smyrna Beach - Residential Energy Efficiency Rebate Program New Smyrna Beach - Residential Energy Efficiency Rebate Program New Smyrna Beach - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Sealing Your Home Ventilation Heat Pumps Insulation Design & Remodeling Windows, Doors, & Skylights Maximum Rebate Insulation: $375 Cool Roof: $375 Window Solar Screen: $375 Program Info Expiration Date 09/30/2013 State Florida Program Type Utility Rebate Program Rebate Amount Insulation: $0.125 per sq. ft. Window Solar Screen: $2 per sq. ft. Duct Leak Repair: 50% of cost, up to $200 AC/Heat Pump: $400 - $600 Cool Roof: $0.14/sq ft Solar Attic Fan: 25% of the cost, up to $200 Provider

30

Team New Jersey's Beach House Approaches Sustainable Design from a  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Team New Jersey's Beach House Approaches Sustainable Design from Team New Jersey's Beach House Approaches Sustainable Design from a Different Angle Team New Jersey's Beach House Approaches Sustainable Design from a Different Angle April 28, 2011 - 4:38pm Addthis Team New Jersey | Photo courtesy of 2011 Solar Decathlon Team New Jersey Team New Jersey | Photo courtesy of 2011 Solar Decathlon Team New Jersey Erin R. Pierce Erin R. Pierce Digital Communications Specialist, Office of Public Affairs How can I participate? The next Solar Decathlon will be held Sept. 23-Oct. 2, 2011, at the National Mall's West Potomac Park in Washington, D.C. In honor of the U.S Department of Energy's Solar Decathlon -- which challenges 20 collegiate teams to design, build and operate solar-powered houses that are cost-effective, energy-efficient and attractive -- we are

31

City of New Smyrna Beach, Florida (Utility Company) | Open Energy  

Open Energy Info (EERE)

Smyrna Beach, Florida (Utility Company) Smyrna Beach, Florida (Utility Company) Jump to: navigation, search Name New Smyrna Beach City of Place Florida Utility Id 13485 Utility Location Yes Ownership M NERC Location FRCC NERC FRCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Buying Transmission Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Bundled Services Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png GS-DERS Commercial GS-LDERS Commercial GS-NDERS (1 phase) Commercial GS-NDERS (3 phase) Commercial GSD-TURES Commercial

32

Team New Jersey's Beach House Approaches Sustainable Design from a  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Team New Jersey's Beach House Approaches Sustainable Design from Team New Jersey's Beach House Approaches Sustainable Design from a Different Angle Team New Jersey's Beach House Approaches Sustainable Design from a Different Angle April 28, 2011 - 4:38pm Addthis Team New Jersey | Photo courtesy of 2011 Solar Decathlon Team New Jersey Team New Jersey | Photo courtesy of 2011 Solar Decathlon Team New Jersey Erin R. Pierce Erin R. Pierce Digital Communications Specialist, Office of Public Affairs How can I participate? The next Solar Decathlon will be held Sept. 23-Oct. 2, 2011, at the National Mall's West Potomac Park in Washington, D.C. In honor of the U.S Department of Energy's Solar Decathlon -- which challenges 20 collegiate teams to design, build and operate solar-powered houses that are cost-effective, energy-efficient and attractive -- we are

33

Seal Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Seal Beach, California: Energy Resources Seal Beach, California: Energy Resources (Redirected from Seal Beach, CA) Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.7414064°, -118.1047866° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.7414064,"lon":-118.1047866,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

34

City of Vero Beach, Florida (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Vero Beach Vero Beach Place Florida Utility Id 19804 Utility Location Yes Ownership M NERC Location SERC NERC FRCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Service, Demand Commercial Commercial, Non-Demand Commercial Industrial Industrial Residential Residential Average Rates Residential: $0.1310/kWh Commercial: $0.1190/kWh Industrial: $0.1140/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=City_of_Vero_Beach,_Florida_(Utility_Company)&oldid=410370

35

ENERGY STAR Success Story: The Virginia Beach Convention Center | ENERGY  

NLE Websites -- All DOE Office Websites (Extended Search)

ENERGY STAR Success Story: The Virginia Beach Convention Center ENERGY STAR Success Story: The Virginia Beach Convention Center Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

36

Reflection of Ocean Surface Gravity Waves from a Natural Beach  

Science Conference Proceedings (OSTI)

The energy of seaward and shoreward propagating ocean surface gravity waves on a natural beach was estimated with data from an army of 24 bottom-mounted pressure sensors in 13-m water depth, 2 km from the North Carolina coast. Consistent with a ...

Steve Elgar; T. H. C. Herbers; R. T. Guza

1994-07-01T23:59:59.000Z

37

Palm Beach County Sees Energy-Smart Economic Growth | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Palm Beach County Sees Energy-Smart Economic Growth Palm Beach County Sees Energy-Smart Economic Growth Palm Beach County Sees Energy-Smart Economic Growth February 7, 2013 - 1:20pm Addthis Smart for Life received a loan from Palm Beach County’s revolving loan fund program to expand its production facility and boost its overall energy efficiency. | Photo courtesy of Craig Stephens, Palm Beach County. Smart for Life received a loan from Palm Beach County's revolving loan fund program to expand its production facility and boost its overall energy efficiency. | Photo courtesy of Craig Stephens, Palm Beach County. Christina Stowers Communications Specialist in the Office of Weatherization and Intergovernmental Program What are the key facts? After making energy efficiency upgrades, Smart for Life expects to

38

Minnetonka Beach, Minnesota: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Minnetonka Beach, Minnesota: Energy Resources Minnetonka Beach, Minnesota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 44.9396852°, -93.5766241° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.9396852,"lon":-93.5766241,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

39

Imperial Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Imperial Beach, California: Energy Resources Imperial Beach, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 32.5839444°, -117.1130849° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.5839444,"lon":-117.1130849,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

40

Hallandale Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Hallandale Beach, Florida: Energy Resources Hallandale Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.9812024°, -80.148379° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.9812024,"lon":-80.148379,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Estral Beach, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Estral Beach, Michigan: Energy Resources Estral Beach, Michigan: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9842117°, -83.2357621° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.9842117,"lon":-83.2357621,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

42

Bombay Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bombay Beach, California: Energy Resources Bombay Beach, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.3508667°, -115.7297152° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.3508667,"lon":-115.7297152,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

43

Hermosa Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Hermosa Beach, California: Energy Resources Hermosa Beach, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.8622366°, -118.3995194° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.8622366,"lon":-118.3995194,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

44

Palm Beach County, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Palm Beach County, Florida: Energy Resources Palm Beach County, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.6514503°, -80.2767327° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.6514503,"lon":-80.2767327,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

45

Westhampton Beach, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Westhampton Beach, New York: Energy Resources Westhampton Beach, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.808896°, -72.646469° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.808896,"lon":-72.646469,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

46

Jensen Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Jensen Beach, Florida: Energy Resources Jensen Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 27.2544906°, -80.2297697° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":27.2544906,"lon":-80.2297697,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

47

Vero Beach South, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Beach South, Florida: Energy Resources Beach South, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 27.615817°, -80.413357° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":27.615817,"lon":-80.413357,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

48

Newport Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Newport Beach, CA) Newport Beach, CA) Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.6189101°, -117.9289469° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.6189101,"lon":-117.9289469,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

49

Sunny Isles Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Sunny Isles Beach, Florida: Energy Resources Sunny Isles Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.9506481°, -80.1228227° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.9506481,"lon":-80.1228227,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

50

Delray Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Delray Beach, Florida: Energy Resources Delray Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.4614625°, -80.0728201° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.4614625,"lon":-80.0728201,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

51

Mastic Beach, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Mastic Beach, New York: Energy Resources Mastic Beach, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.7667655°, -72.8520476° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.7667655,"lon":-72.8520476,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

52

North Palm Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Beach, Florida: Energy Resources Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.8192°, -80.056669° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.8192,"lon":-80.056669,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

53

Jamaica Beach, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Jamaica Beach, Texas: Energy Resources Jamaica Beach, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.189684°, -94.9796456° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.189684,"lon":-94.9796456,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

54

Lake Erie Beach, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Beach, New York: Energy Resources Beach, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.6242256°, -79.0669829° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.6242256,"lon":-79.0669829,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

55

Moss Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Moss Beach, California: Energy Resources Moss Beach, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.5274401°, -122.5133117° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.5274401,"lon":-122.5133117,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

56

Huntington Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Huntington Beach, California: Energy Resources Huntington Beach, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.660297°, -117.9992265° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.660297,"lon":-117.9992265,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

57

Boynton Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Boynton Beach, Florida: Energy Resources Boynton Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.5253491°, -80.0664309° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.5253491,"lon":-80.0664309,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

58

Dover Beaches North, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Dover Beaches North, New Jersey: Energy Resources Dover Beaches North, New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.9912289°, -74.0637475° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.9912289,"lon":-74.0637475,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

59

Solana Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Solana Beach, California: Energy Resources Solana Beach, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 32.991155°, -117.2711481° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.991155,"lon":-117.2711481,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

60

Manhattan Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Manhattan Beach, California: Energy Resources Manhattan Beach, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.8847361°, -118.4109089° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.8847361,"lon":-118.4109089,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Point Pleasant Beach, New Jersey: Energy Resources | Open Energy  

Open Energy Info (EERE)

Pleasant Beach, New Jersey: Energy Resources Pleasant Beach, New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.0912268°, -74.0479146° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.0912268,"lon":-74.0479146,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

62

Apollo Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Beach, Florida: Energy Resources Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 27.7730836°, -82.4075935° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":27.7730836,"lon":-82.4075935,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

63

Pompano Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Pompano Beach, Florida: Energy Resources Pompano Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.2378597°, -80.1247667° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.2378597,"lon":-80.1247667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

64

Deerfield Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Deerfield Beach, Florida: Energy Resources Deerfield Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.3184123°, -80.0997657° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.3184123,"lon":-80.0997657,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

65

Long Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Long Beach, California: Energy Resources Long Beach, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.7669623°, -118.1892348° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.7669623,"lon":-118.1892348,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

66

Highland Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Highland Beach, Florida: Energy Resources Highland Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.3995204°, -80.0655977° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.3995204,"lon":-80.0655977,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

67

Pismo Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Pismo Beach, California: Energy Resources Pismo Beach, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 35.1427533°, -120.6412827° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.1427533,"lon":-120.6412827,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

68

Waimanalo Beach, Hawaii: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Waimanalo Beach, Hawaii: Energy Resources Waimanalo Beach, Hawaii: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 21.3402778°, -157.7027778° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":21.3402778,"lon":-157.7027778,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

69

Ocean Beach, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Beach, New York: Energy Resources Beach, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.6467664°, -73.1570589° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.6467664,"lon":-73.1570589,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

70

Ewa Beach, Hawaii: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Ewa Beach, Hawaii: Energy Resources Ewa Beach, Hawaii: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 21.3169°, -158.013199° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":21.3169,"lon":-158.013199,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

71

Jacksonville Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Jacksonville Beach, Florida: Energy Resources Jacksonville Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 30.2946859°, -81.3931396° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30.2946859,"lon":-81.3931396,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

72

Hillsboro Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Beach, Florida: Energy Resources Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.2939687°, -80.0789318° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.2939687,"lon":-80.0789318,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

73

Grover Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Grover Beach, California: Energy Resources Grover Beach, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 35.1216424°, -120.6212821° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.1216424,"lon":-120.6212821,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

74

Monument Beach, Massachusetts: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Monument Beach, Massachusetts: Energy Resources Monument Beach, Massachusetts: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7195502°, -70.6119755° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.7195502,"lon":-70.6119755,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

75

Wabasso Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Wabasso Beach, Florida: Energy Resources Wabasso Beach, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 27.7647502°, -80.3989397° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":27.7647502,"lon":-80.3989397,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

76

Sound Beach, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Sound Beach, New York: Energy Resources Sound Beach, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.9562099°, -72.9678811° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.9562099,"lon":-72.9678811,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

77

Geothermal energy at Long Beach Naval Shipyard and Naval Station and at Seal Beach Naval Weapons Station, California. Final report  

DOE Green Energy (OSTI)

The purpose of this project was to determine and evaluate sources of geothermal energy at two military bases in southern California, the Long Beach Naval Shipyard and Naval Station and the Seal Beach Naval Weapons Station. One part of the project focused on the natural geothermal characteristics beneath the naval bases. Another part focused on the geothermal energy produced by oilfield operations on and adjacent to each base. Results of the study are presented here for the US Department of the Navy to use in its program to reduce its reliance on petrolem by the development of different sources of energy. The study was accomplished under a cooperative agreement between the US Department of Energy's San Francisco Operations Office and the Department of the Navy's Naval Weapons Center, China Lake, California, for joint research and development of geothermal energy at military installations.

Higgins, C.T.; Chapman, R.H.

1984-01-01T23:59:59.000Z

78

Long wave runup on random beaches  

E-Print Network (OSTI)

The estimation of the maximum wave sunup height is a problem of practical importance. Most of the analytical and numerical studies are limited to a constant slope plain shore and to the classical Nonlinear Shallow Water (NSW) equations. However, in nature the shore is characterized by some roughness. In order to take into account the effects of the bottom rugosity various ad-hoc friction terms are usually used. In this paper we study the effect of the roughness of the bottom on the maximum runup height. A stochastic model is proposed to describe the bottom irregularity and its effect is quantified using Monte-Carlo simulations. For the discretization of the NSW equations we employ modern finite volume schemes. Moreover, the results of the random bottom model are compared with the more conventional approaches.

Dutykh, Denys; Mitsotakis, Dimitrios

2011-01-01T23:59:59.000Z

79

Dark Beaches FDOTs Continued Efforts to Implement Environmentally Sensitive Lighting Systems  

E-Print Network (OSTI)

address coastal roadway lighting and its impacts on adjacentUSA Abstract Artificial lighting has two important effectscontribute to many beach lighting problems. The existing

Broadwell, Ann

2007-01-01T23:59:59.000Z

80

Sands and environmental conditions impact the abundance and persistence of the fecal indicator bacteria Enterococcus at recreational beaches  

E-Print Network (OSTI)

The marine fecal indicator Enterococcus is measured at beaches to detect fecal contamination events, and beaches are closed to bathers when Enterococcus is found to exceed the federally mandated limit. This dissertation ...

Halliday, Elizabeth (Elizabeth Ann)

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

A resource complex for Sandy Neck Beach : an exploration in building on an ever-changing land  

E-Print Network (OSTI)

This thesis is an exploration into a spit of land, called Sandy Neck Beach on Cape Cod, Massachusetts. It is a barrier beach system which is experiencing many changes. These changes are manifest not only in its physical ...

Solarz, Cynthia L. (Cynthia Lynne)

1987-01-01T23:59:59.000Z

82

The nature of a site : urban and architectural design perspectives on the renovation of Revere Beach, Massachusetts  

E-Print Network (OSTI)

Through analyses and design studies, this thesis articulates qualities of environment and architecture that affect the redevelopment of an urban beach. Looking at Boston, Massachusetts' Revere Beach, it examines the impact ...

Katz, Jane Sarah

1985-01-01T23:59:59.000Z

83

Shoreface Morphodynamics, Back Beach Variability, and Implications of Future Sea-Level Rise for California's Sandy Shorelines  

E-Print Network (OSTI)

semidiurnal spring tidal cycles on a sandy beach, cycleson a sandy beach, Aust. J. Mar. Freshwater Res. 33:377-400.Change Data for the Sandy Shorelines of the California

Harden, Erika Lynne

2012-01-01T23:59:59.000Z

84

A numerical model simulation of longshore transport for Galveston Island  

E-Print Network (OSTI)

The shoreline changes, deposition patterns, and longshore transport rates were calculated for the coast of Galveston Island using a numerical model simulation. The model only simulated changes due to waves creating longshore currents. East Beach showed a net accretion pattern, with erosion confined to the eastern section of the area. Large accretion was found near the first groin indicating transport from east to west. The groin field fluctuated with erosion and accretion, with a net gain of shoreline. The unprotected beach in front of the seawall eroded almost completely away. West Beach had a net loss of shoreline overall. This was largely due to the shoreline erosion found at San Luis Pass. The majority of West Beach was frequently unstable, fluctuating between erosion and accretion.

Gilbreath, Stephen Alexander

1995-01-01T23:59:59.000Z

85

Maine Tow Tank | Open Energy Information  

Open Energy Info (EERE)

Tow Tank Tow Tank Jump to: navigation, search Basic Specifications Facility Name Maine Tow Tank Overseeing Organization University of Maine Hydrodynamics Hydrodynamic Testing Facility Type Tow Tank Length(m) 30.5 Beam(m) 2.4 Depth(m) 1.2 Cost(per day) Contact POC Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 3 Length of Effective Tow(m) 27.4 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.0 Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wave Direction Uni-Directional Simulated Beach Yes Description of Beach Simulated beach is framed with PVC/mesh. Has a 4:9 slope. Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities Wind Capabilities None Control and Data Acquisition

86

SAFL Channel | Open Energy Information  

Open Energy Info (EERE)

SAFL Channel SAFL Channel Jump to: navigation, search Basic Specifications Facility Name SAFL Channel Overseeing Organization University of Minnesota Hydrodynamics Hydrodynamic Testing Facility Type Channel Length(m) 84.0 Beam(m) 2.8 Depth(m) 1.8 Cost(per day) Contact POC Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 6.1 Length of Effective Tow(m) 76.0 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.4 Maximum Wave Length(m) 6.6 Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking No Wavemaking Description Programmable control of wave making is currently in development and will be available in fall of 2009. Wave Direction Uni-Directional Simulated Beach Yes Description of Beach Channel is sufficiently adaptable to allow simulation of beach

87

simulations  

E-Print Network (OSTI)

Part 1 of this two-part paper describes the analysis and 2D finite element (FE) simulations for a capacitive incremental position sensor for nanopositioning of microactuator systems with a displacement range of 100 m or more. Two related concepts for a capacitive incremental position sensor are presented. In an incremental capacitance measurement mode (ICMM), the periodic change in capacitance is measured to determine the relative displacement between two periodic geometries S1 and S2 with a gap distance of ?1 m. In a constant capacitance measurement mode (CCMM), the distance between S1 and S2 is controlled to keep the capacitance between S1 and S2 constant. Analysis and 2D finite element simulations show that the signal-to-noise ratio for CCMM can be>300 over ICMM and with less nonlinearity of the position sensor signal. This means that CCMM will perform better in accurate quadrature incremental position detection. A comparison with measurements shows that the 2D finite element simulation method is a useful tool that realistically predicts the capacitance versus displacement for different combinations of periodic geometries. (Some figures in this article are in colour only in the electronic version) 1.

A A Kuijpers; G J M Krijnen; R J Wiegerink; T S J Lammerink; M Elwenspoek

2006-01-01T23:59:59.000Z

88

State-Ocean City Beach Erosion Control District (Maryland) | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

State-Ocean City Beach Erosion Control District (Maryland) State-Ocean City Beach Erosion Control District (Maryland) State-Ocean City Beach Erosion Control District (Maryland) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maryland Program Type Siting and Permitting Provider Maryland Department of Natural Resources

89

MHL Tow Tank | Open Energy Information  

Open Energy Info (EERE)

Tow Tank Tow Tank Jump to: navigation, search Basic Specifications Facility Name MHL Tow Tank Overseeing Organization University of Michigan Hydrodynamics Hydrodynamic Testing Facility Type Tow Tank Length(m) 109.7 Beam(m) 6.7 Depth(m) 3.7 Cost(per day) $2000 (+ Labor/Materials) Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 6.7 Length of Effective Tow(m) 103.6 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.5 Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Regular and irregular wave spectrum Wave Direction Uni-Directional Simulated Beach Yes Description of Beach Concrete beach Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities Wind Capabilities None

90

MHL 2D Wind/Wave | Open Energy Information  

Open Energy Info (EERE)

MHL 2D Wind/Wave MHL 2D Wind/Wave Jump to: navigation, search Basic Specifications Facility Name MHL 2D Wind/Wave Overseeing Organization University of Michigan Hydrodynamics Hydrodynamic Testing Facility Type Tunnel Length(m) 35.1 Beam(m) 0.7 Depth(m) 1.2 Cost(per day) $2000 (+ Labor/Materials) Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.2 Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Regular and irregular wave spectrum Wave Direction Uni-Directional Simulated Beach Yes Description of Beach Removable beach Channel/Tunnel/Flume Channel/Tunnel/Flume Yes Recirculating No Wind Capabilities Wind Capabilities Yes Wind Velocity Range(m/s) 20.4

91

Building America Efficient Solutions for New Homes Case Study: Habitat for Humanity Palm Beach County, West Palm Beach, Florida  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2011, Building America assisted Habitat for Humanity of Palm 2011, Building America assisted Habitat for Humanity of Palm Beach County (HabitatPBC) in completing three high-performance prototype houses that achieved HERS index scores of less than 60, which is about 30% better than typical HabitatPBC construction, at a payback of less than 4 years. The HabitatPBC is planning to implement these strategies in future homes they build. This has the potential for significant and affordable energy savings as HabitatPBC has built more than 111 affordable houses and served an additional 125 families worldwide through their affiliation with HFH International (today serving >20 families a year). Building America (through the Florida Solar Energy Center, a member of the Pacific Northwest National Laboratory team) achieved

92

The Impact of Water Quality on Southern California Beach Recreation: A Finite Mixture Model Approach  

E-Print Network (OSTI)

estimate the e?ect of coastal water quality on beach choiceDemand Studies, 1968-1988; Water Resources Research, March,Measuring the bene?ts of water quality improvements in a

Hilger, James; Hanemann, W. Michael

2008-01-01T23:59:59.000Z

93

A Technique for Eliminating Water Returns from Lidar Beach Elevation Surveys  

Science Conference Proceedings (OSTI)

Airborne light detecting and ranging (lidar) systems can survey hundreds of kilometers of shoreline with high spatial resolution (several elevation estimates per square meter). Sequential surveys yield spatial change maps of beach and dune sand ...

Marissa L. Yates; R. T. Guza; Roberto Gutierrez; Richard Seymour

2008-09-01T23:59:59.000Z

94

Demonstration of an Ozone System at a Hospital Laundry Facility: Long Beach Medical Center  

Science Conference Proceedings (OSTI)

In its role as a powerful oxidant and biocide, ozone works in the context of laundry facilities to boost the cleaning activity of the various chemicals and chemical compounds. To be used in laundry operations, ozone must be introduced into the wash water via one of the ozone laundry systems available on the market today. This report highlights and quantifies the benefits of an ozone laundry system at the 134-bed Long Beach Medical Center (LBMC) in Long Beach, New York.

2007-08-31T23:59:59.000Z

95

DOE Solar Decathlon: News Blog » Blog Archive » Team New Jersey's Beach  

NLE Websites -- All DOE Office Websites (Extended Search)

Team New Jersey's Beach House Approaches Sustainable Design From a Team New Jersey's Beach House Approaches Sustainable Design From a Different Angle Thursday, April 28, 2011 By Erin Pierce Editor's Note: This entry has been cross-posted from DOE's Energy Blog. In honor of the U.S. Department of Energy Solar Decathlon-which challenges 20 collegiate teams to design, build, and operate solar-powered houses that are cost-effective, energy-efficient, and attractive-we are profiling each of the 20 teams participating in the competition. When it comes to picturing a beach house, you typically picture large windows to let in fresh air and sunlight or wide porches to connect the home to the outdoors. What probably doesn't come to mind is a home primarily made of precast concrete. However, Team New Jersey is doing exactly that-incorporating the age-old technology of concrete into its

96

Geothermal energy at Long Beach Naval Shipyard and Naval Station and at Seal Beach Naval Weapons Station, California. Final Report 1  

DOE Green Energy (OSTI)

The purpose of this project was to determine and evaluate sources of geothermal energy at two military bases in southern California, the Long Beach Naval Shipyard and Naval Station and the Seal Beach Naval Weapons Station. One part of the project focused on the natural geothermal characteristics beneath the naval bases. Another part focused on the geothermal energy produced by oilfield operations on and adjacent to each base. Results of the study are presented here for the US Department of the Navy to use in its program to reduce its reliance on petroleum by the development of different sources of energy. The project required research of various reports and data, both published and unpublished, particularly those of the California Department of Conservation, Division of Oil and Gas and of oil companies with leases on or adjacent to the naval bases. Important field investigations included the measurement of well-head temperatures of fluids produced from selected oil wells at each naval base and a detailed gravity survey of the Seal Beach naval base and vicinity. The well-head temperatures were needed to evaluate individual wells as sources of geothermal energy, while the gravity survey attempted to discover subsurface geologic structures that might contain geothermal fluids of temperatures higher than those predicted by the regional geothermal conditions.

Higgins, C.T.; Chapman, R.H.

1984-01-01T23:59:59.000Z

97

Florida (Pensacola Beach) dune restoration Project General Project DescriPtion  

E-Print Network (OSTI)

Offset for the Florida Dune Restoration Project is 105 DSAYs. estiMateD cost The estimated cost for this project is approximately $644,487. (Estimated costs for some of the projects were updated from thoseFlorida (Pensacola Beach) dune restoration Project General Project DescriPtion The project

98

Oil spill nears the beaches of Florida, and the leak may not be plugged before Christmas  

E-Print Network (OSTI)

Oil spill nears the beaches of Florida, and the leak may not be plugged before Christmas By David Gardner Last updated at 11:32 AM on 3rd June 2010 BP's giant oil slick was bearing down on Florida holidaymakers a year visit Florida and state leaders fear the oil will devastate a tourist industry

Belogay, Eugene A.

99

City of Long Beach This page outlines solar PV incentives, financing mechanisms, permitting process, and  

E-Print Network (OSTI)

/csi-latest-news/2167-why-pay-to-install-solar o Southern California Edison Solar Rooftop Program · This commercial energy grid. www.sce.com/solarleadership/solar-rooftop-program/ Property Assessed Clean Energy (PACECity of Long Beach This page outlines solar PV incentives, financing mechanisms, permitting process

100

Lakefront Tow Tank | Open Energy Information  

Open Energy Info (EERE)

Lakefront Tow Tank Lakefront Tow Tank Jump to: navigation, search Basic Specifications Facility Name Lakefront Tow Tank Overseeing Organization University of New Orleans Hydrodynamic Testing Facility Type Tow Tank Length(m) 36.6 Beam(m) 4.9 Depth(m) 1.8 Cost(per day) $1200 Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 2.7 Length of Effective Tow(m) 25.9 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.5 Maximum Wave Length(m) 22 Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Regular random and transient waves Spectra include ISSC, JONSWAP, Bretschneider, Pierson-Moskowitz and custom user-defined. Wave Direction Uni-Directional Simulated Beach Yes Description of Beach Aluminum segmented arch

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

DeFrees Small Wave Basin | Open Energy Information  

Open Energy Info (EERE)

Wave Basin Wave Basin Jump to: navigation, search Basic Specifications Facility Name DeFrees Small Wave Basin Overseeing Organization Cornell University Hydrodynamics Hydrodynamic Testing Facility Type Wave Basin Length(m) 15.0 Beam(m) 0.8 Depth(m) 0.9 Water Type Freshwater Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.3 Maximum Wave Height(m) at Wave Period(s) 3.0 Maximum Wave Length(m) 30 Wave Period Range(s) 3.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Computer controlled hydraulic paddle, arbitrary wave shape possible Wave Direction Uni-Directional Simulated Beach Yes Description of Beach 1:10 sloping glass with dissipative horsehair covering if needed

102

Ohmsett Tow Tank | Open Energy Information  

Open Energy Info (EERE)

Ohmsett Tow Tank Ohmsett Tow Tank Jump to: navigation, search Basic Specifications Facility Name Ohmsett Tow Tank Overseeing Organization Ohmsett Hydrodynamic Testing Facility Type Tow Tank Length(m) 203.0 Beam(m) 19.8 Depth(m) 2.4 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 3.4 Length of Effective Tow(m) 155.0 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.9 Maximum Wave Height(m) at Wave Period(s) 4.1 Maximum Wave Length(m) 18 Wave Period Range(s) 4.1 Current Velocity Range(m/s) 3.4 Programmable Wavemaking Yes Wavemaking Description Programmable frequency Wave Direction Uni-Directional Simulated Beach Yes Description of Beach Wave dampening at downstream end Channel/Tunnel/Flume

103

Hinsdale Wave Basin 1 | Open Energy Information  

Open Energy Info (EERE)

Hinsdale Wave Basin 1 Hinsdale Wave Basin 1 Jump to: navigation, search Basic Specifications Facility Name Hinsdale Wave Basin 1 Overseeing Organization Oregon State University Hydrodynamics Hydrodynamic Testing Facility Type Wave Basin Length(m) 104.0 Beam(m) 3.7 Depth(m) 4.6 Cost(per day) $3500 Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 1.8 Maximum Wave Height(m) at Wave Period(s) 10.0 Wave Period Range(s) 10.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Monochromatic waves (cnoidal, Stokes, Airy), solitary waves, user-defined free surface timeseries or board displacement timeseries for random waves Wave Direction Uni-Directional Simulated Beach Yes Description of Beach 12' by 12' concrete slabs anchored to flume walls

104

University of Iowa Wave Basin | Open Energy Information  

Open Energy Info (EERE)

University of Iowa Wave Basin University of Iowa Wave Basin Overseeing Organization University of Iowa Hydrodynamic Testing Facility Type Wave Basin Length(m) 40.0 Beam(m) 20.0 Depth(m) 3.0 Cost(per day) Contact POC Special Physical Features Towed 3DPIV; contactless motion tracking; free surface measurement mappingv Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 2.5 Length of Effective Tow(m) 25.0 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.6 Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Fully programmable for regular or irregular waves Wave Direction Uni-Directional Simulated Beach Yes Description of Beach Trusses overlaid with lattice and matting Channel/Tunnel/Flume

105

Microsoft Word - CX-Rogue-GoldBeach-DisconnectSwitch-FY13_WEB.docx  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8, 2013 8, 2013 REPLY TO ATTN OF: KEPR-4 SUBJECT: Environmental Clearance Memorandum Gregory L Vassallo Electical Engineer - TPCV-ALVEY Proposed Action: Rogue-Gold Beach No. 2 disconnect switch replacement Pollution Prevention and Abatement Project No.: 2411 Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B4.6 Additions and modifications to transmission facilities Location: Curry County, Oregon Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA and Coos-Curry Electric Cooperative, Inc. (Coos- Curry) have developed a joint plan to replace the existing B-1734 115-kilovolt, group-operated disconnect switch located at BPA's Gold Beach Substation with a new horizontally-mounted,

106

Gilgo-Oak Beach-Captree, New York: Energy Resources | Open Energy  

Open Energy Info (EERE)

Gilgo-Oak Beach-Captree, New York: Energy Resources Gilgo-Oak Beach-Captree, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.6466846°, -73.2706389° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.6466846,"lon":-73.2706389,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

107

Land-Side Equipment Electrification Opportunities at the Port of Long Beach, California  

Science Conference Proceedings (OSTI)

The air quality problems associated at the Ports, have become a widely discussed issue facing cargo handling in recent years. While growth is necessary for economic health, the pollution emitted is growing as well. This study gives an overview of the many aspects of the port that can be considered for electrification. The emphasis of the work is a complete review of the land side equipment at the Port of Long Beach, which primary equipment includes: terminal tractors, forklifts, top loaders, empty contai...

2006-01-30T23:59:59.000Z

108

Monitoring of Olympic National Park Beaches to determine fate and effects of spilled bunker C fuel oil  

SciTech Connect

On December 23, 1988, the barge Nestucca was accidentally struck by its tow, a Souse Brothers Towing Company tug, releasing approximately 230,000 gallons of Bunker C fuel oil and fouling beaches from Grays Harbor north to Vancouver Island. Affected beaches in Washington included a 40-mile-long strip that has been recently added to Olympic National Park. The purpose of the monitoring program documented in this report was to determine the fate of spilled Bunker C fuel oil on selected Washington coastal beaches. We sought to determine (1) how much oil remained in intertidal and shallow subtidal habitats following clean-up and weathering, (2) to what extent intertidal and/or shallow subtidal biotic assemblages have been contaminated, and (3) how rapidly the oil has left the ecosystem. 45 refs., 18 figs., 8 tabs.

Strand, J.A.; Cullinan, V.I.; Crecelius, E.A.; Fortman, T.J.; Citterman, R.J.; Fleischmann, M.L.

1990-10-01T23:59:59.000Z

109

HOME NEWS SPORTS BUSINESS OPINIONS ENTERTAINMENT HEALTH TRAVEL INFO CLASSIFIED ADSLong Beach, CA, 12/21/2006 Advertisement  

E-Print Network (OSTI)

it from truck diesel, said USC professor of engineering Constantinos Sioutas, who is leading the study Beach, which already has air pollution and wind monitors at two locations, said Robert Article Search, sulfur oxides and diesel particulate matter, but do not capture particulate matter for research, Kanter

Valero-Cuevas, Francisco

110

Proceedings of the 1998 Photovoltaic Performance and Reliability Workshop; Cocoa Beach, Florida; November 3-5, 1998  

SciTech Connect

This proceedings is the compilation of all papers presented at the 11th PV Performance and Reliability Workshop held at the Doubletree Hotel in Cocoa Beach, Florida, on November 3-5, 1998. The workshop was hosted by the Florida Solar Energy Center. This year's workshop included presentations from 29 speakers and had 110 attendees.

Kroposki, B.

1998-12-17T23:59:59.000Z

111

Proceedings of the 1998 Photovoltaic Performance and Reliability Workshop; Cocoa Beach, Florida; November 3-5, 1998  

DOE Green Energy (OSTI)

This proceedings is the compilation of all papers presented at the 11th PV Performance and Reliability Workshop held at the Doubletree Hotel in Cocoa Beach, Florida, on November 3-5, 1998. The workshop was hosted by the Florida Solar Energy Center. This year's workshop included presentations from 29 speakers and had 110 attendees.

Kroposki, B.

1998-12-17T23:59:59.000Z

112

Unusual sedimentation of a Galveston Bay wetland at Pine Gully, Seabrook, Texas: implications for beach renourishment  

E-Print Network (OSTI)

Excess sedimentation began affecting the wetland dynamics of Pine Gully in Seabrook, Texas during the first quarter of 2004. This sedimentation was sudden and became a serious problem for the dynamics of the Pine Gully wetland because the fine, well sorted, quartz rich sediments began plugging the main channel of the previously tidally dominated wetland. Progressive sedimentation has produced overbank deposits in the marine grasses, contributing to the death of wetland grasses by sediment chocking. The main purpose of this study is to determine the new source and mechanism of sedimentation in Pine Gully, document changes from sedimentation, and determine a solution to prevent future sedimentation. Sedimentation in Pine Gully and coastal areas adjacent to Pine Gully has occurred in a region that has experienced subsidence and sea level rise. The sedimentation in Pine Gully is a direct result of new and sustained sediment at the mouth of Pine Gully. These new sediments are transported into Pine Gully by displacement waves from ships moving through the Houston Ship Channel. Beach renourishment at Wright Beach, located a half mile north of Pine Gully, occurred as Pine Gully experienced sedimentation. Construction of a breakwater at the mouth of Pine Gully and subsequent removal of sediment in Pine Gully itself is ultimately the solution to revitalizing the wetland to its pre-sedimentation state. Replanting of native vegetation killed off by sedimentation is recommended and would hasten the recovery of the wetland. Documenting the effects of this unique sedimentation in Pine Gully has implications for the future. Beach renourishment or coastal projects that may contribute excess sediment to the coastline should be concerned with unintended effects they may cause. Although an historically eroding shoreline exists, the effects of excess sedimentation can be severe. A coastal study should be done before sediment is added to the shoreline to identify any areas within the sphere of influence of the project. Ecosystems determined to be within the sphere of influence by a coastal study should implement preventative measures at those locations to avoid an ecological disaster similar to that in Pine Gully.

Culver, Wesley Richard

2007-08-01T23:59:59.000Z

113

Field studies of beach cones as coastal erosion control/reversal devices for areas with significant oil and gas activities. [Annual report], February 24, 1992--February 23, 1993  

SciTech Connect

The primary objective of this project is to evaluate the utility of a device called the ``beach cone`` in combating coastal erosion. Seven initial sites were selected for testing beach cones in a variety of geometric configurations. Permits were obtained from the State of Louisiana and the US Army Corps of Engineers to perform the work associated with this study. Six hundred beach cones were actually installed at six of the sites in late July and early August, 1992. One of the initial sites was abandoned because it was found to be unsuitable for beach cone placement. The test sites have been observed for six months and preliminary findings indicate that beach cones accreted significant amounts of materials along the beach of a barrier island. At other test sites, accretion rates have been less dramatic but importantly, no significant additional erosion has occurred, which is a positive result. It is too soon to state the categorical success of the beach cones, but results to date are encouraging.

Law, V.J.

1993-03-15T23:59:59.000Z

114

MIT Tow Tank | Open Energy Information  

Open Energy Info (EERE)

MIT Tow Tank MIT Tow Tank Overseeing Organization Massachusetts Institute of Technology Hydrodynamics Hydrodynamic Testing Facility Type Tow Tank Length(m) 36.6 Beam(m) 2.4 Depth(m) 1.2 Water Type Saltwater Cost(per day) $750 Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 1.5 Length of Effective Tow(m) 27.4 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.1 Maximum Wave Height(m) at Wave Period(s) 3.0 Maximum Wave Length(m) 4.6 Wave Period Range(s) 3.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Arbitrary spectrum Wave Direction Uni-Directional Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities Wind Capabilities None Control and Data Acquisition

115

L-Shaped Flume Wave Basin | Open Energy Information  

Open Energy Info (EERE)

L-Shaped Flume Wave Basin L-Shaped Flume Wave Basin Jump to: navigation, search Basic Specifications Facility Name L-Shaped Flume Wave Basin Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Wave Basin Length(m) 76.2 Beam(m) 15.2 Depth(m) 1.8 Water Type Freshwater Special Physical Features Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.6 Maximum Wave Height(m) at Wave Period(s) 10.0 Wave Period Range(s) 10.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wave Direction Uni-Directional Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control sys

116

Davidson Laboratory Tow Tank | Open Energy Information  

Open Energy Info (EERE)

Laboratory Tow Tank Laboratory Tow Tank Jump to: navigation, search Basic Specifications Facility Name Davidson Laboratory Tow Tank Overseeing Organization Stevens Institute of Technology Hydrodynamic Testing Facility Type Tow Tank Length(m) 97.5 Beam(m) 4.9 Depth(m) 2.0 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 18.3 Length of Effective Tow(m) 30.5 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.5 Maximum Wave Height(m) at Wave Period(s) 4.0 Maximum Wave Length(m) 15.2 Wave Period Range(s) 4.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Menu driven selection of standard spectra or user specified Wave Direction Uni-Directional Simulated Beach Yes

117

Alden Small Flume | Open Energy Information  

Open Energy Info (EERE)

Flume Flume Jump to: navigation, search Basic Specifications Facility Name Alden Small Flume Overseeing Organization Alden Research Laboratory, Inc Hydrodynamic Testing Facility Type Flume Length(m) 17.1 Beam(m) 1.8 Depth(m) 1.8 Water Type Freshwater Cost(per day) $2500/week Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.2 Maximum Wave Length(m) Variable Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Period adjustable electronically, height adjustable mechanically Wave Direction Uni-Directional Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume Yes Velocity(m/s) >0.9 Recirculating No Wind Capabilities Wind Capabilities Yes

118

Coastal Inlet Model Facility | Open Energy Information  

Open Energy Info (EERE)

Inlet Model Facility Inlet Model Facility Jump to: navigation, search Basic Specifications Facility Name Coastal Inlet Model Facility Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Wave Basin Length(m) 103.6 Beam(m) 48.8 Depth(m) 0.6 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.2 Maximum Wave Height(m) at Wave Period(s) 2.3 Wave Period Range(s) 2.3 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wave Direction Uni-Directional Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control system

119

DeFrees Large Wave Basin | Open Energy Information  

Open Energy Info (EERE)

Large Wave Basin Large Wave Basin Jump to: navigation, search Basic Specifications Facility Name DeFrees Large Wave Basin Overseeing Organization Cornell University Hydrodynamics Hydrodynamic Testing Facility Type Wave Basin Length(m) 32.0 Beam(m) 0.6 Depth(m) 0.9 Water Type Freshwater Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.5 Maximum Wave Height(m) at Wave Period(s) 3.0 Maximum Wave Length(m) 64 Wave Period Range(s) 3.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Computer controlled 4m hydraulic wave paddle stroke allows a series of solitary waves to be generated; arbitrary wave shape possible Wave Direction Uni-Directional Simulated Beach Yes

120

Coastal Harbors Modeling Facility | Open Energy Information  

Open Energy Info (EERE)

Modeling Facility Modeling Facility Jump to: navigation, search Basic Specifications Facility Name Coastal Harbors Modeling Facility Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Wave Basin Length(m) 121.9 Beam(m) 48.8 Depth(m) 0.5 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.2 Maximum Wave Height(m) at Wave Period(s) 2.3 Wave Period Range(s) 2.3 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wave Direction Uni-Directional Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control system

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

DOE/EIS-0285/SA-134: Supplement Analysis for the Transmission System Vegetation Management Program FEIS (Bandon-Rogue-GoldBeach)(3/24/03)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4, 2003 4, 2003 REPLY TO ATTN OF: KEP/4 SUBJECT: Supplement Analysis for the Transmission System Vegetation Management Program FEIS (DOE/EIS-0285/SA-134-Bandon-Rogue-GoldBeach) Ben Tilley Natural Resource Specialist - TFE/Alvey Proposed Action: Vegetation Management for the Bandon-Rogue-Gold Beach transmission line corridor. This corridor includes the Bandon-Rogue #1 115 kV transmission line from Bandon Substation to Rogue Substation and the Rogue-Gold Beach #1 and #2 115kV transmission lines, starting at Rogue Substation and ending at Gold Beach Substation. In addition the project includes adjacent portions of the Fairview-Rogue #1 230 kV Transmission Line. Location: The project is located in the BPA Eugene Region, Coos and Curry Counties, Oregon.

122

Characterization and environmental studies of Pompano Beach anaerobic digestion facility. Semi-annual report  

DOE Green Energy (OSTI)

Anaerobic digestion of municipal waste has been demonstrated to be feasible in bench scale experiments by Pfeffer (1974). Approximately, 50% reduction in mass and production of 6000 ft/sup 3/ of gas/ton have been estimated. The gas composition is estimated to be 50% methane and 50% carbon monoxide. The technical and economic feasibility of anaerobic digestion with an ultimate objective of commercialization are discussed. A plant has been built at Pompano Beach, Florida on an existing shredding and landfill operation site. The plant design capacity is 100 tons/day. Two digesters have been constructed to be used in parallel. The process consists of primary shredding, metal separation, secondary shredding, air classification and digestion of light fraction. Sewage sludge was used to seed the initial mixture in the digester. The output slurry is vacuum filtered and the filter cake disposed on an existing landfill. The filtrate is recycled. Excess filtrate is sprayed on the landfill. At present the output gas is being flared. A flow chart for the plant is presented. It is imperative that environmental investigations be conducted on new energy technology prior to commercialization. A project was initiated to characterize all input and output streams and to assess the potential for ground water contamination by landfill disposal of effluents. Detailed chemical, biological and physical characterization efforts supported by leaching and modelling studies are being conducted to achieve the stated objectives. Some mutagenic studies were also conducted. The environmental investigations were started in August 1978. Sengupta et al (1979a) reported the first year's efforts.

Sengupta, S; Farooq, S; Gerrish, H P; Wong, K F; Daly, Jr, E L; Chriswell, C

1980-02-01T23:59:59.000Z

123

Building America Efficient Solutions for Existing Homes Case Study: Habitat for Humanity of Palm Beach County, Lake Worth, Florida  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Project Description Project Description Habitat for Humanity of Palm Beach County, working with Building America researchers from Pacific Northwest National Laboratory and the Florida Solar Energy Center, upgraded this previously unoccupied 1996 home in Lake Worth, Florida to achieve an estimated 39% improvement in energy efficiency. The 1,573-ft 2 slab-on-grade, single- family home received extensive energy upgrades during its conversion to affordable and efficient housing for low-income families. By replacing the home's water heater, using compact fluorescent lamps (CFLs), reducing air infiltration, adding more ceiling insulation, and installing a central air conditioner, the home's annual energy bills are

124

Proceedings of the ASHRAE/DOE/BTECC Conference, Thermal Performance of the Exterior Envelopes of Buildings VII, Clearwater Beach, Florida, December 7-11, 1998  

E-Print Network (OSTI)

of the Exterior Envelopes of Buildings VII, Clearwater Beach, Florida, December 7-11, 1998 The research reported and to increase comfort. This limited proof-of-concept test was designed to work out practical "bugs" and refine variation in daylight availability and solar radiation due to diurnal and seasonal changes in sun position

125

The Daytona Beach Wave of 34 July 1992: A Shallow-Water Gravity Wave Forced by a Propagating Squall Line  

Science Conference Proceedings (OSTI)

An unexpected run-up of the ocean along Daytona Beach, Florida, on 34 July 1992 was associated with at least one large ocean wave. The wave, which reached a height of about 3 m above normal tide, injured 75 people and damaged property along ...

Dean D. Churchill; Sam H. Houston; Nicholas A. Bond

1995-01-01T23:59:59.000Z

126

Carderock Tow Tank 2 | Open Energy Information  

Open Energy Info (EERE)

2 2 Overseeing Organization United States Naval Surface Warfare Center Hydrodynamic Testing Facility Type Tow Tank Length(m) 574.9 Beam(m) 15.5 Depth(m) 6.7 Water Type Freshwater Cost(per day) Contact POC Special Physical Features Carriage 2 is located on this basin Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 10.3 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.6 Maximum Wave Length(m) 12.2 Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Irregular waves with a spectrum resembling typical ocean wave patterns with appropriate scale reductions Wave Direction Uni-Directional Simulated Beach Yes Description of Beach The wave absorber spans the full width of the basin at the end opposite the wavemaker dome, the absorbers are a discontinuous 12 degree slope type made up of 12 permeable layers of rectangular precast concrete bar panels resting on an impermeable concrete slab supported by a structural steel framework, the center section of the absorber is of wood construction & can be raised and lowered as a unit to provide model access to and from the fitting-out dry dock located at the end of the basin.

127

Modeling & Simulation  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling & Simulation Modeling & Simulation Research into alternative forms of energy, especially energy security, is one of the major national security imperatives of this...

128

Network Simulation  

SciTech Connect

A detailed introduction to the design, implementation and use of network simulation tools is presented. The requirements and issues faced in the design of simulators for wired and wireless networks are discussed. Abstractions such as packet- and fluid-level network models are covered. Several existing simulations are given as examples, with details and rationales regarding design decisions presented. Issues regarding performance and scalability are discussed in detail, describing how one can utilize distributed simulation methods to increase the scale and performance of a simulation environment. Finally, a case study of two simulation tools is presented that have been developed using distributed simulation techniques. This text is essential to any student, researcher or network architect desiring a detailed understanding of how network simulation tools are designed, implemented, and used.

Fujimoto, Richard [ORNL; Perumalla, Kalyan S [ORNL; Riley, George F. [Georgia Institute of Technology

2006-01-01T23:59:59.000Z

129

Simulation Tools  

NLE Websites -- All DOE Office Websites (Extended Search)

Building simulation tool screen capture Building simulation tool screen capture Simulation Tools Researchers develop whole-building energy simulation software programs that allow architects and building engineers to design or retrofit buildings for maximum energy efficiency and occupant comfort. Programs developed by researchers include: the EnergyPlus whole building simulation program, the Modelica Buildings library for rapid prototyping and controls design, the Building Controls Virtual Test Bed for co-simulation and for model-based operation, and the GenOpt generic optimization program. Contacts Philip Haves PHaves@lbl.gov (510) 486-6512 Michael Wetter MWetter@lbl.gov (510) 486-6990 Links Simulation Research Group Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings

130

Avestar - Simulators  

NLE Websites -- All DOE Office Websites (Extended Search)

Meet Our Partners Simulators IGCC Gasification Combined Cycle NGCC SCOT Oxy-coal Shale Gas 3D Virtual IGCC Training How to Register for Training IGCC Gasification Combined...

131

Simulation tools  

E-Print Network (OSTI)

In the last two decades, simulation tools made a significant contribution to the great progress in development of power electronics. Time to market was shortened and development costs were reduced drastically. Falling costs, as well as improved speed and precision, opened new fields of application. Today, continuous and switched circuits can be mixed. A comfortable number of powerful simulation tools is available. The users have to choose the best suitable for their application. Here a simple rule applies: The best available simulation tool is the tool the user is already used to (provided, it can solve the task). Abilities, speed, user friendliness and other features are continuously being improvedeven though they are already powerful and comfortable. This paper aims at giving the reader an insight into the simulation of power electronics. Starting with a short description of the fundamentals of a simulation tool as well as properties of tools, several tools are presented. Starting with simplified models ...

Jenni, F

2006-01-01T23:59:59.000Z

132

Simulation: Thermodynamic  

E-Print Network (OSTI)

(by selectively reflecting), so system energy stays constant. -- Heat is generated by viscous action corresponds to vortex generation in similar fluid mechanical situations. But the high flow speed#12; ' & $ % Coupling Continuum to Molecular Dynamics Simulation: Reflecting Particle Method

Li, Ju

133

COMPARISON OF RAY TRACING SIMULATIONS AND ...  

Science Conference Proceedings (OSTI)

... The clusters due to the reflection from the wall with glass windows and the ... 2] C. Chong, C. Tan, D. Laurenson, S. McLaughlin, MA Beach, AR Nix ...

2008-03-04T23:59:59.000Z

134

Chase Tow Tank | Open Energy Information  

Open Energy Info (EERE)

Chase Tow Tank Chase Tow Tank Jump to: navigation, search Basic Specifications Facility Name Chase Tow Tank Overseeing Organization University of New Hampshire Hydrodynamics Hydrodynamic Testing Facility Type Tow Tank Length(m) 36.6 Beam(m) 3.7 Depth(m) 2.4 Cost(per day) Contact POC Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 2.5 Length of Effective Tow(m) 20.0 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.4 Maximum Wave Height(m) at Wave Period(s) 3.1 Wave Period Range(s) 3.1 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wave Direction Uni-Directional Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume None Wind Capabilities Wind Capabilities None Control and Data Acquisition Description National Instruments LabView-based data acquistion software/components. Optical measurement system for observing kinematics of a model under test in the wave mode.

135

Digestion Simulations  

NLE Websites -- All DOE Office Websites (Extended Search)

Digestion Simulations Digestion Simulations Name: Lisa Location: N/A Country: N/A Date: N/A Question: My 5th grade students are beginning an experiment next week and their hypothesis involves edibility(edibleness?). Is there a way to replicate the stomach in, say, a bottle?? Are there ways to test for edibleness(?) without actually ingesting the experiment yourself? Replies: I would not recommend the idea of a bottle stomach. The stomach digests only proteins anyway with HCl [pH 1.0] which is very, very strong acid that will burn seriously if in contact with skin. The intestine is just as much responsible for digestion of lipids [bile], carbohydrates and remaining proteins using enzymes, many of these you do not want to be handling, let alone purchase. As a high school teacher, I have lab exercises dealing with digestion, but I can not recommend any of these unless you are set up with a functional science laboratory and all the safety equipment necessary.

136

Simulation of Storm Occurrences Using Simulated Annealing  

Science Conference Proceedings (OSTI)

Modeling storm occurrences has become a vital part of hurricane prediction. In this paper, a method for simulating event occurrences using a simulated annealing algorithm is described. The method is illustrated using annual counts of hurricanes ...

Ravindra S. Lokupitiya; Leon E. Borgman; Richard Anderson-Sprecher

2005-11-01T23:59:59.000Z

137

Winter Simulation Conference  

Science Conference Proceedings (OSTI)

Welcome to the 2009 Winter Simulation Conference (WSC), recognized as the premiere international conference for simulation professionals in discrete and combined discrete-continuous simulation. WSC is always located in exciting and dynamic locations ...

Ann Dunkin; Ricki G. Ingalls

2009-12-01T23:59:59.000Z

138

Fire, Smoke, and Simulations  

Science Conference Proceedings (OSTI)

... NIST Technologies Help Improve Homeland Security. AVI file (Smokeview simulation animation). Initial Model for Fires in ...

2010-10-05T23:59:59.000Z

139

The ATLAS Simulation Infrastructure  

E-Print Network (OSTI)

The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid. This simulation requires many components, from the generators that simulate particle collisions, through packages simulating the response of the various detectors and triggers. All of these components come together under the ATLAS simulation infrastructure. In this paper, that infrastructure is discussed, including that supporting the detector description, interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors. Also described are the tools allowing the software validation, performance testing, and the validation of the simulated output against known physics processes.

The ATLAS Collaboration

2010-05-25T23:59:59.000Z

140

Radio Channel Simulator  

Radio Channel Simulator (RCSim) is a simulation package for making site-specific predictions of radio signal strength. The software computes received power atdiscrete grid points as a function of the transmitter location and propagation environment. ...

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Ad Hoc Distributed Simulations  

Science Conference Proceedings (OSTI)

An ad hoc distributed simulation is a collection of autonomous on-line simulations brought together to model an operational system. They offer the potential of increased accuracy, responsiveness, and robustness compared to centralized approaches. They ...

Richard Fujimoto; Michael Hunter; Jason Sirichoke; Mahesh Palekar; Hoe Kim; Wonho Suh

2007-06-01T23:59:59.000Z

142

Simulated Chromatographic Data  

Science Conference Proceedings (OSTI)

Simulated Chromatographic Data. Description/Summary: ... Data are provided in individual files that are packaged together in grouped zip files. ...

2012-10-09T23:59:59.000Z

143

Atomistic Simulation and ICME  

Science Conference Proceedings (OSTI)

The annual NIST workshops on "Atomistic Simulations for Industrial Needs" .... First Principles Modeling of Shape Memory Alloy Magnetic Refrigeration Materials.

144

Weld arc simulator  

DOE Patents (OSTI)

An arc voltage simulator for an arc welder permits the welder response to a variation in arc voltage to be standardized. The simulator uses a linear potentiometer connected to the electrode to provide a simulated arc voltage at the electrode that changes as a function of electrode position.

Burr, M.J.

1989-03-01T23:59:59.000Z

145

Air Shower Simulations  

SciTech Connect

Air shower simulations are a vital part of the design of air shower experiments and the analysis of their data. We describe the basic features of air showers and explain why numerical simulations are the appropriate approach to model the shower simulation. The CORSIKA program, the standard simulation program in this field, is introduced and its features, performance and limitations are discussed. The basic principles of hadronic interaction models and some gerneral simulation techniques are explained. Also a brief introduction to the installation and use of CORSIKA is given.

Alania, Marco; Gomez, Adolfo V. Chamorro [Centro de Tecnologias de Informacion y Comunicaciones, Universidad Nacional de Ingenieria, Lima (Peru); Araya, Ignacio J. [Departamento de Astronomia y Astrofisica, Pontificia Universidad Catolica de Chile, Av. Vicuna Mackenna 4860, Santiago (Chile); Huerta, Humberto Martinez; Flores, Alejandra Parra [Facultad de Ciencias Fisico Matematicas, Benemerita Universidad Autonoma de Puebla, Puebla (Mexico); Knapp, Johannes [School of Physics and Astronomy, University of Leeds, Leeds LS2 9JT (United Kingdom)

2009-04-30T23:59:59.000Z

146

An ontology for trajectory simulation  

Science Conference Proceedings (OSTI)

From the concept exploration for a weapon system to training simulators, from hardware-in-the-loop simulators to mission planning tools, trajectory simulations are used throughout the life cycle of a weapon system. A trajectory simulation can be defined ...

Umut Durak; Halit Oguztuzun; S. Kemal Ider

2006-12-01T23:59:59.000Z

147

Power Market Simulation Workshop  

Science Conference Proceedings (OSTI)

EPRI's first seminar on electricity market simulation provided a forum for discussion of potential modifications and applications for this new technology, specifically in the areas of market design and operations. The resounding messages heard from both speakers and participants were as follows: o The use of simulation for electricity markets has the potential to help society avoid devastating costs due to market flaws. o Market simulation can be broadly applied with a diverse set of potential users. o C...

2002-12-30T23:59:59.000Z

148

House Simulation Protocols Report  

Energy.gov (U.S. Department of Energy (DOE))

Building America's House Simulation Protocols report is designed to assist researchers in tracking the progress of multiyear, whole-building energy reduction against research goals for new and...

149

Ferrocyanide waste simulant characterization  

Science Conference Proceedings (OSTI)

Ferrocyanide waste simulants were prepared and characterized to help assess safety concerns associated with the ferrocyanide sludges stored in underground single-shell waste tanks at the Hanford Site. Simulants were prepared to represent the variety of ferrocyanide sludges stored in the storage tanks. Physical properties, chemical compositions, and thermodynamic properties of the simulants were determined. The simulants, as produced, were shown to not sustain propagating reactions when subjected to a strong ignition source. Additional testing and evaluations are recommended to assess safety concerns associated with postulated ferrocyanide sludge dry-out and exposure to external ignition sources.

Jeppson, D.W.; Wong, J.J.

1993-01-01T23:59:59.000Z

150

AVESTAR - Gasification Dynamic Simulator  

NLE Websites -- All DOE Office Websites (Extended Search)

Meet Our Partners Simulators IGCC Gasification Combined Cycle NGCC SCOT Oxy-coal Shale Gas 3D Virtual IGCC Training How to Register for Training IGCC Gasification Combined...

151

Dynamic Infrared Simulation.  

E-Print Network (OSTI)

?? The increased usage of infrared sensors by pilots has created a growing demand for simulated environments based on infrared radiation. This has led to (more)

Dehlin, Jonas

2006-01-01T23:59:59.000Z

152

A Molecular Simulation Study  

Science Conference Proceedings (OSTI)

Presentation Title, Enhanced CO2 Adsorption in Ti-exchanged Zirconium Organic Frameworks A Molecular Simulation Study. Author(s), Ravichandar Babarao...

153

Radiation detector spectrum simulator  

DOE Patents (OSTI)

A small battery operated nuclear spectrum simulator having a noise source generates pulses with a Gaussian distribution of amplitudes. A switched dc bias circuit cooperating therewith to generate several nominal amplitudes of such pulses and a spectral distribution of pulses that closely simulates the spectrum produced by a radiation source such as Americium 241.

Wolf, M.A.; Crowell, J.M.

1985-04-09T23:59:59.000Z

154

Radiation detector spectrum simulator  

SciTech Connect

A small battery operated nuclear spectrum simulator having a noise source nerates pulses with a Gaussian distribution of amplitudes. A switched dc bias circuit cooperating therewith generates several nominal amplitudes of such pulses and a spectral distribution of pulses that closely simulates the spectrum produced by a radiation source such as Americium 241.

Wolf, Michael A. (Los Alamos, NM); Crowell, John M. (Los Alamos, NM)

1987-01-01T23:59:59.000Z

155

Escorted free energy simulations  

Science Conference Proceedings (OSTI)

We describe a strategy to improve the efficiency of free energy estimates by reducing dissipation in nonequilibrium Monte Carlo simulations. This strategy generalizes the targeted free energyperturbation approach [C. Jarzynski

Suriyanarayanan Vaikuntanathan; Christopher Jarzynski

2011-01-01T23:59:59.000Z

156

Geology and Reservoir Simulation  

NLE Websites -- All DOE Office Websites (Extended Search)

Service: 1-800-553-7681 Geology and Reservoir Simulation Background Natural gas from shale is becoming ever more recognized as an abundant and economically viable fuel in the...

157

Image simulation using LOCUS  

SciTech Connect

The LOCUS data base program has been used to simulate images and to solve simple equations. This has been accomplished by making each record (which normally would represent a data entry)represent sequenced or random number pairs.

Strachan, J.D.; Roberts, J.A.

1989-09-01T23:59:59.000Z

158

Simulations and symbolic explanations  

Science Conference Proceedings (OSTI)

The following paper defines the problem of writing symbolic explanation facilities for computer simulations. Our approach towards this problem draws from an existing body of research on a related problem, that of writing an explanation facility for an ...

D H Helman; J L Bennett; A W Foster

1986-12-01T23:59:59.000Z

159

The Sky Simulator  

NLE Websites -- All DOE Office Websites (Extended Search)

framework. The sun is simulated with a 1,000-watt halogen lamp inside a parabolic mirror dish mounted on a track. It can assume any altitude angle from the horizon to the zenith....

160

Modeling & Simulation publications  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling & Simulation » Modeling & Simulation » Modeling & Simulation Publications Modeling & Simulation publications Research into alternative forms of energy, especially energy security, is one of the major national security imperatives of this century. Get Expertise David Harradine Physical Chemistry and Applied Spectroscopy Email Josh Smith Chemistry Email The inherent knowledge of transformation has beguiled sorcerers and scientists alike. D.A. Horner, F. Lambert, J.D. Kress, and L.A. Collins, "Transport properties of lithium hydride from quantum molecular dynamics and orbital-free molecular dynamics," Physical Review B - Condensed Matter and Materials Physics 80(2) (2009). J.D. Kress, D.A. Horner, and L.A. Collins, "Mixing rules for optical and transport properties of warm, dense matter," AIP Conference Proceedings 1195, 931-934 (2009).

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Applications of HRSG Simulation  

E-Print Network (OSTI)

Heat Recovery Steam Generators are widely used in cogeneration and combined cycle plants generating steam utilizing energy from gas turbine exhaust. Before planning cogen projects, consultants should study various options available in terms of steam parameters and select the optimum. Simulation helps plan such studies. In addition, useful "what if" studies can be performed without even designing the HRSG, thus saving valuable time. This article outlines the applications of HRSG simulation and how plant engineers, consultants can benefit from such studies.

Ganapathy, V. V.

1995-04-01T23:59:59.000Z

162

Theory Modeling and Simulation  

SciTech Connect

Los Alamos has a long history in theory, modeling and simulation. We focus on multidisciplinary teams that tackle complex problems. Theory, modeling and simulation are tools to solve problems just like an NMR spectrometer, a gas chromatograph or an electron microscope. Problems should be used to define the theoretical tools needed and not the other way around. Best results occur when theory and experiments are working together in a team.

Shlachter, Jack [Los Alamos National Laboratory

2012-08-23T23:59:59.000Z

163

Xyce parallel electronic simulator.  

Science Conference Proceedings (OSTI)

This document is a reference guide to the Xyce Parallel Electronic Simulator, and is a companion document to the Xyce Users' Guide. The focus of this document is (to the extent possible) exhaustively list device parameters, solver options, parser options, and other usage details of Xyce. This document is not intended to be a tutorial. Users who are new to circuit simulation are better served by the Xyce Users' Guide.

Keiter, Eric Richard; Mei, Ting; Russo, Thomas V.; Rankin, Eric Lamont; Schiek, Richard Louis; Thornquist, Heidi K.; Fixel, Deborah A.; Coffey, Todd Stirling; Pawlowski, Roger Patrick; Santarelli, Keith R.

2010-05-01T23:59:59.000Z

164

Computer simulation | Open Energy Information  

Open Energy Info (EERE)

2013 DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Computer simulation Citation wikipedia. Computer simulation Internet....

165

High Performance Computing: Modeling & Simulation  

NLE Websites -- All DOE Office Websites (Extended Search)

High Performance Computing: Modeling & Simulation High Performance Computing: Modeling & Simulation Express Licensing Adaptive Real-Time Methodology for Optimizing Energy-Efficient...

166

Computers in teaching science: To simulate or not to simulate?  

Science Conference Proceedings (OSTI)

Do computer simulations help students learn science? How can we tell? Are there negative implications of using simulations to teach students about real world phenomena? In this paper I describe my experience using a computer simulation on air resistance. In order to parse out the effects of using the computer simulation and of having an interactive learning environment

Richard N. Steinberg

2000-01-01T23:59:59.000Z

167

Computers in teaching science: To simulate or not to simulate?  

E-Print Network (OSTI)

Computers in teaching science: To simulate or not to simulate? Richard N. Steinberg City College of New York Phys. Ed. Res. Suppl. to Am. J. Phys. 68, S37-S41 (2000) Do computer simulations help students about real world phenomena? In this paper I describe my experience using a computer simulation

Steinberg, Richard N.

168

Advanced Simulation Capability for  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Simulation Capability for Simulation Capability for Environmental Management (ASCEM) ASCEM is being developed to provide a tool and approach to facilitate robust and standardized development of perfor- mance and risk assessments for cleanup and closure activi- ties throughout the EM complex. The ASCEM team is composed of scientists from eight National Laboratories. This team is leveraging Department of Energy (DOE) investments in basic science and applied research including high performance computing codes developed through the Advanced Scientific Computing Research and Advanced Simulation & Computing pro- grams as well as collaborating with the Offices of Science, Fossil Energy, and Nuclear Energy. Challenge Current groundwater and soil remediation challenges that will continue to be addressed in the next decade include

169

Flight code validation simulator  

Science Conference Proceedings (OSTI)

An End-To-End Simulation capability for software development and validation of missile flight software on the actual embedded computer has been developed utilizing a 486 PC, i860 DSP coprocessor, embedded flight computer and custom dual port memory interface hardware. This system allows real-time interrupt driven embedded flight software development and checkout. The flight software runs in a Sandia Digital Airborne Computer (SANDAC) and reads and writes actual hardware sensor locations in which IMU (Inertial Measurements Unit) data resides. The simulator provides six degree of freedom real-time dynamic simulation, accurate real-time discrete sensor data and acts on commands and discretes from the flight computer. This system was utilized in the development and validation of the successful premier flight of the Digital Miniature Attitude Reference System (DMARS) in January 1995 at the White Sands Missile Range on a two stage attitude controlled sounding rocket.

Sims, B.A.

1995-08-01T23:59:59.000Z

170

Simulating neural systems with Xyce.  

SciTech Connect

Sandia's parallel circuit simulator, Xyce, can address large scale neuron simulations in a new way extending the range within which one can perform high-fidelity, multi-compartment neuron simulations. This report documents the implementation of neuron devices in Xyce, their use in simulation and analysis of neuron systems.

Schiek, Richard Louis; Thornquist, Heidi K.; Mei, Ting; Warrender, Christina E.; Aimone, James Bradley; Teeter, Corinne; Duda, Alex M. [University of Illinois, Urbana-Champaign] University of Illinois, Urbana-Champaign

2012-12-01T23:59:59.000Z

171

Toroidal simulation magnet tests  

SciTech Connect

A number of different schemes for testing superconducting coils in a simulated tokamak environment are analyzed for their merits relative to a set of test criteria. Two of the concepts are examined in more detail: the so-called cluster test scheme, which employs two large background field coils, one on either side of the test coil, and the compact torus, a low-aspect ratio toroidal array of a small number of coils in which all of the coils are essentially test coils. Simulation of the pulsed fields of the tokamak is discussed briefly. (auth)

Walstrom, P.L.; Domm, T.C.

1975-01-01T23:59:59.000Z

172

Advanced Simulation and Computing  

National Nuclear Security Administration (NNSA)

NA-ASC-117R-09-Vol.1-Rev.0 NA-ASC-117R-09-Vol.1-Rev.0 Advanced Simulation and Computing PROGRAM PLAN FY09 October 2008 ASC Focal Point Robert Meisner, Director DOE/NNSA NA-121.2 202-586-0908 Program Plan Focal Point for NA-121.2 Njema Frazier DOE/NNSA NA-121.2 202-586-5789 A Publication of the Office of Advanced Simulation & Computing, NNSA Defense Programs i Contents Executive Summary ----------------------------------------------------------------------------------------------- 1 I. Introduction -------------------------------------------------------------------------------------------------------- 2 Realizing the Vision ------------------------------------------------------------------------------------------------- 2 The Future of the Nuclear Weapons Complex ---------------------------------------------------------------- 2

173

Simulation of geothermal subsidence  

DOE Green Energy (OSTI)

The results of an assessment of existing mathematical models for subsidence simulation and prediction are summarized. The following subjects are discussed: the prediction process, physical processes of geothermal subsidence, computational models for reservoir flow, computational models for deformation, proficiency assessment, and real and idealized case studies. (MHR)

Miller, I.; Dershowitz, W.; Jones, K.; Myer, L.; Roman, K.; Schauer, M.

1980-03-01T23:59:59.000Z

174

Ion trap simulation tools.  

Science Conference Proceedings (OSTI)

Ion traps present a potential architecture for future quantum computers. These computers are of interest due to their increased power over classical computers stemming from the superposition of states and the resulting capability to simultaneously perform many computations. This paper describes a software application used to prepare and visualize simulations of trapping and maneuvering ions in ion traps.

Hamlet, Benjamin Roger

2009-02-01T23:59:59.000Z

175

Simulation Data as Data Streams  

SciTech Connect

Computational or scientific simulations are increasingly being applied to solve a variety of scientific problems. Domains such as astrophysics, engineering, chemistry, biology, and environmental studies are benefiting from this important capability. Simulations, however, produce enormous amounts of data that need to be analyzed and understood. In this overview paper, we describe scientific simulation data, its characteristics, and the way scientists generate and use the data. We then compare and contrast simulation data to data streams. Finally, we describe our approach to analyzing simulation data, present the AQSim (Ad-hoc Queries for Simulation data) system, and discuss some of the challenges that result from handling this kind of data.

Abdulla, G; Arrighi, W; Critchlow, T

2003-11-18T23:59:59.000Z

176

Simulation of biochemical networks using COPASI: a complex pathway simulator  

Science Conference Proceedings (OSTI)

Simulation and modeling is becoming one of the standard approaches to understand complex biochemical processes. Therefore, there is a big need for software tools that allow access to diverse simulation and modeling methods as well as support for the ...

Sven Sahle; Ralph Gauges; Jrgen Pahle; Natalia Simus; Ursula Kummer; Stefan Hoops; Christine Lee; Mudita Singhal; Liang Xu; Pedro Mendes

2006-12-01T23:59:59.000Z

177

Simulation-based optimization: practical introduction to simulation optimization  

Science Conference Proceedings (OSTI)

The merging of optimization and simulation technologies has seen a rapid growth in recent years. A Google search on "Simulation Optimization" returns more than six thousand pages where this phrase appears. The content of these pages ranges from articles, ...

Jay April; Fred Glover; James P. Kelly; Manuel Laguna

2003-12-01T23:59:59.000Z

178

Simulation standards: a framework for standard modular simulation  

Science Conference Proceedings (OSTI)

The primary reason for building manufacturing simulations is to provide support tools that aid the manufacturing decision-making process. Simulations are typically a part of a case study commissioned by manufacturing management to address a particular ...

Charles McLean; Swee Leong

2002-12-01T23:59:59.000Z

179

Risk Analysis and Simulation  

NLE Websites -- All DOE Office Websites (Extended Search)

Analysis and Simulation Analysis and Simulation for Geologic Storage of CO 2 BEST PRACTICES for: 2013 Revised Edition Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The

180

Implicit Large Eddy Simulation  

National Nuclear Security Administration (NNSA)

Implicit Implicit Large Eddy Simulation (ILES) for High Reynolds Number Flows Len Margolin Applied Physics Division Los Alamos National Laboratory Collaborators: 1. Bill Rider (LANL) 2. Piotr Smolarkiewicz (NCAR) 3. Andrzej Wysogrodski (NCAR) 4. Fernando Grinstein (NRL) len@lanl.gov 1 Implicit Large Eddy Simulation Outline: * What is ILES? * What are its advantages? * Historical perspective * Why does it work? * Some examples len@lanl.gov 2 What is ILES ILES is the direct application of a fluid solver to a high Reynolds number fluid flow with no explicit turbulence model. · The truncation terms of the algorithm serve as an effective model of the effects of the unresolved scales. · Fluid solvers based on Nonoscillatory Finite Volume (NFV) approximations work effectively for ILES. · Fluid solvers based on pseudospectral methods, leapfrog methods, advective form methods, etc. do not work

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

The Simulation Intranet Architecture  

Science Conference Proceedings (OSTI)

The Simdarion Infranet (S1) is a term which is being used to dcscribc one element of a multidisciplinary distributed and distance computing initiative known as DisCom2 at Sandia National Laboratory (http ct al. 1998). The Simulation Intranet is an architecture for satisfying Sandia's long term goal of providing an end- to-end set of scrviccs for high fidelity full physics simu- lations in a high performance, distributed, and distance computing environment. The Intranet Architecture group was formed to apply current distributed object technologies to this problcm. For the hardware architec- tures and software models involved with the current simulation process, a CORBA-based architecture is best suited to meet Sandia's needs. This paper presents the initial desi-a and implementation of this Intranct based on a three-tier Network Computing Architecture(NCA). The major parts of the architecture include: the Web Cli- ent, the Business Objects, and Data Persistence.

Holmes, V.P.; Linebarger, J.M.; Miller, D.J.; Vandewart, R.L.

1998-12-02T23:59:59.000Z

182

Fast Simulation and Modeling  

Science Conference Proceedings (OSTI)

The "Fast Simulation and Modeling" (FSM) project of the IntelliGrid Consortium is developing a high-performance "look-ahead" capability for a self-healing grid8212one capable of automatically anticipating and responding to power system disturbances while continually optimizing its own performance. This project's roadmap assesses individual software solutions and equipment components that vendors will provide during the next 5 to 15 years and that electric power companies will adopt to realize FSM's self-...

2007-12-19T23:59:59.000Z

183

Radiation in Particle Simulations  

SciTech Connect

Hot dense radiative (HDR) plasmas common to Inertial Confinement Fusion (ICF) and stellar interiors have high temperature (a few hundred eV to tens of keV), high density (tens to hundreds of g/cc) and high pressure (hundreds of megabars to thousands of gigabars). Typically, such plasmas undergo collisional, radiative, atomic and possibly thermonuclear processes. In order to describe HDR plasmas, computational physicists in ICF and astrophysics use atomic-scale microphysical models implemented in various simulation codes. Experimental validation of the models used to describe HDR plasmas are difficult to perform. Direct Numerical Simulation (DNS) of the many-body interactions of plasmas is a promising approach to model validation but, previous work either relies on the collisionless approximation or ignores radiation. We present four methods that attempt a new numerical simulation technique to address a currently unsolved problem: the extension of molecular dynamics to collisional plasmas including emission and absorption of radiation. The first method applies the Lienard-Weichert solution of Maxwell's equations for a classical particle whose motion is assumed to be known. The second method expands the electromagnetic field in normal modes (planewaves in a box with periodic boundary-conditions) and solves the equation for wave amplitudes coupled to the particle motion. The third method is a hybrid molecular dynamics/Monte Carlo (MD/MC) method which calculates radiation emitted or absorbed by electron-ion pairs during close collisions. The fourth method is a generalization of the third method to include small clusters of particles emitting radiation during close encounters: one electron simultaneously hitting two ions, two electrons simultaneously hitting one ion, etc. This approach is inspired by the virial expansion method of equilibrium statistical mechanics. Using a combination of these methods we believe it is possible to do atomic-scale particle simulations of fusion ignition plasmas including the important effects of radiation emission and absorption.

More, R; Graziani, F; Glosli, J; Surh, M

2010-11-19T23:59:59.000Z

184

Performance simulation and prediction  

DOE Green Energy (OSTI)

Computational procedures useful during the passive solar design process are discussed. Analysis tools are described suitable for each of the three phases of design: rules of thumb for the concept development phase, quick-and-dirty techniques for the design development phase, and the monthly solar load ratio method for the final design phase. Issues are discussed regarding the role of simulation analysis during the design process.

Balcomb, J.D.

1979-01-01T23:59:59.000Z

185

Property:Wave Direction | Open Energy Information  

Open Energy Info (EERE)

Direction Direction Jump to: navigation, search Property Name Wave Direction Property Type String Pages using the property "Wave Direction" Showing 25 pages using this property. (previous 25) (next 25) A Alden Small Flume + Uni-Directional + Alden Wave Basin + Both + C Carderock Maneuvering & Seakeeping Basin + Both + Carderock Tow Tank 2 + Uni-Directional + Carderock Tow Tank 3 + Uni-Directional + Chase Tow Tank + Uni-Directional + Coastal Harbors Modeling Facility + Uni-Directional + Coastal Inlet Model Facility + Uni-Directional + Coastal Structures Modeling Complex + Both + D Davidson Laboratory Tow Tank + Uni-Directional + DeFrees Large Wave Basin + Uni-Directional + DeFrees Small Wave Basin + Uni-Directional + H Haynes Wave Basin + Both +

186

COLLABORATIVE: FUSION SIMULATION PROGRAM  

SciTech Connect

New York University, Courant Institute of Mathematical Sciences, participated in the ???¢????????Fusion Simulation Program (FSP) Planning Activities???¢??????? [http://www.pppl.gov/fsp], with C.S. Chang as the institutional PI. FSP???¢????????s mission was to enable scientific discovery of important new plasma phenomena with associated understanding that emerges only upon integration. This requires developing a predictive integrated simulation capability for magnetically-confined fusion plasmas that are properly validated against experiments in regimes relevant for producing practical fusion energy. Specific institutional goal of the New York University was to participate in the planning of the edge integrated simulation, with emphasis on the usage of large scale HPCs, in connection with the SciDAC CPES project which the PI was leading. New York University successfully completed its mission by participating in the various planning activities, including the edge physics integration, the edge science drivers, and the mathematical verification. The activity resulted in the combined report that can be found in http://www.pppl.gov/fsp/Overview.html. Participation and presentations as part of this project are listed in a separation file.

Chang, Choong Seock

2012-06-05T23:59:59.000Z

187

Virtual urban traffic network simulator  

E-Print Network (OSTI)

In this project, I designed and implemented a virtual urban traffic network simulator. The simulator serves as a testbed for human-subject experiments to determine driver behavior in road networks and also as a platform ...

Uh, Jason (Jason J.)

2011-01-01T23:59:59.000Z

188

A Simulation of Alberta Cumulus  

Science Conference Proceedings (OSTI)

A two-dimensional cloud model was used to simulate an Alberta, Canada, seeding experiment that was conducted on 24 July 1979, by the Alberta Research Council. The simulation reproduced some of the characteristics of the silver iodide seeded cloud ...

Fred J. Kopp

1988-05-01T23:59:59.000Z

189

Computer simulations of cardiac electrophysiology  

Science Conference Proceedings (OSTI)

CardioWave is a modular system for simulating wavefront conduction in the heart. These simulations may be used to investigate the factors that generate and sustain life-threatening arrhythmias such as ventricular fibrillation. The user selects a set ...

John B. Pormann; Craig S. Henriquez; John A. Board, Jr.; Donald J. Rose; David M. Harrild; Alexandra P. Henriquez

2000-11-01T23:59:59.000Z

190

Simulations of nanoscale spatial disorder  

E-Print Network (OSTI)

In this thesis, we detail the design, implementation, and testing of two simulations of nanometer scale disorder phenomena important for electronic device fabrication. We created a kinetic simulator for the surface assembly ...

Howe, Ethan (Ethan Gabriel Grief)

2006-01-01T23:59:59.000Z

191

Translation Effects on Simulated Tornadoes  

Science Conference Proceedings (OSTI)

A simulation of tornadoes translating over the ground was carried out in a modified Ward simulator. The purpose was to investigate the effects of translation on tornado dynamics. The results are as follows:

Chris J. Diamond; Eugene M. Wilkins

1984-09-01T23:59:59.000Z

192

Design of mechanical arterial simulator  

E-Print Network (OSTI)

A force controlled ultrasound probe is being explored as a new method of measuring blood pressure. An arterial simulator was designed and built for experiments. For this simulator, the vessels and bulk material were designed ...

Chai, Lauren (Lauren Amy)

2012-01-01T23:59:59.000Z

193

Simulation of Sextet Diquark Production  

E-Print Network (OSTI)

We present a method for simulating the production and decay of particles in the sextet representation of $SU(3)_C$ including the simulation of QCD radiation. First results from the Monte Carlo simulation of sextet diquark production at the LHC including both resonant and pair production are presented. We include limits on resonant diquark production from recent ATLAS results and perform the first simulation studies of the less model dependent pair production mechanism.

Peter Richardson; David Winn

2011-08-31T23:59:59.000Z

194

Residual Stresses and Numerical Simulation  

Science Conference Proceedings (OSTI)

Oct 28, 2013 ... Advances in Hydroelectric Turbine Manufacturing and Repair: Residual Stresses and Numerical Simulation Sponsored by: Metallurgical...

195

Circuit simulation: some humbling thoughts  

Science Conference Proceedings (OSTI)

A short, very personal note on circuit simulation is presented. It does neither include theoretical background on circuit simulation, nor offers an overview of available software, but just gives some general remarks for a discussion on circuit simulator needs in context to the design and development of accelerator beam instrumentation circuits and systems.

Wendt, Manfred; /Fermilab

2006-01-01T23:59:59.000Z

196

Bio-threat microparticle simulants  

SciTech Connect

A bio-threat simulant that includes a carrier and DNA encapsulated in the carrier. Also a method of making a simulant including the steps of providing a carrier and encapsulating DNA in the carrier to produce the bio-threat simulant.

Farquar, George Roy; Leif, Roald N

2012-10-23T23:59:59.000Z

197

Simulation in education and training  

Science Conference Proceedings (OSTI)

Historically, the use of simulation has been an important aspect of training in some fields (such as aviation). As the cost of computing power decreases simulation is now finding its way into training for other fields. As simulation moves into these ...

J. Peter Kincaid; Ken K. Westerlund

2009-12-01T23:59:59.000Z

198

Utility Analysis of Parallel Simulation  

Science Conference Proceedings (OSTI)

Parallel computers are used to execute discrete-event simulations in contexts where a serial computer is unable to provide answers fast enough, and/or is unable to hold the simulation state in memory. Traditional research in parallel simulation has focused ...

David M. Nicol

2003-06-01T23:59:59.000Z

199

Plasma Simulation Program  

SciTech Connect

Many others in the fusion energy and advanced scientific computing communities participated in the development of this plan. The core planning team is grateful for their important contributions. This summary is meant as a quick overview the Fusion Simulation Program's (FSP's) purpose and intentions. There are several additional documents referenced within this one and all are supplemental or flow down from this Program Plan. The overall science goal of the DOE Office of Fusion Energy Sciences (FES) Fusion Simulation Program (FSP) is to develop predictive simulation capability for magnetically confined fusion plasmas at an unprecedented level of integration and fidelity. This will directly support and enable effective U.S. participation in International Thermonuclear Experimental Reactor (ITER) research and the overall mission of delivering practical fusion energy. The FSP will address a rich set of scientific issues together with experimental programs, producing validated integrated physics results. This is very well aligned with the mission of the ITER Organization to coordinate with its members the integrated modeling and control of fusion plasmas, including benchmarking and validation activities. [1]. Initial FSP research will focus on two critical Integrated Science Application (ISA) areas: ISA1, the plasma edge; and ISA2, whole device modeling (WDM) including disruption avoidance. The first of these problems involves the narrow plasma boundary layer and its complex interactions with the plasma core and the surrounding material wall. The second requires development of a computationally tractable, but comprehensive model that describes all equilibrium and dynamic processes at a sufficient level of detail to provide useful prediction of the temporal evolution of fusion plasma experiments. The initial driver for the whole device model will be prediction and avoidance of discharge-terminating disruptions, especially at high performance, which are a critical impediment to successful operation of machines like ITER. If disruptions prove unable to be avoided, their associated dynamics and effects will be addressed in the next phase of the FSP.

Greenwald, Martin

2011-10-04T23:59:59.000Z

200

Maintenance simulation: Software issues  

SciTech Connect

The maintenance of a distributed software system in a production environment involves: (1) maintaining software integrity, (2) maintaining and database integrity, (3) adding new features, and (4) adding new systems. These issues will be discussed in general: what they are and how they are handled. This paper will present our experience with a distributed resource management system that accounts for resources consumed, in real-time, on a network of heterogenous computers. The simulated environments to maintain this system will be presented relate to the four maintenance areas.

Luk, C.H.; Jette, M.A.

1995-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

SEALING SIMULATED LEAKS  

Science Conference Proceedings (OSTI)

This report details the testing equipment, procedures and results performed under Task 7.2 Sealing Simulated Leaks. In terms of our ability to seal leaks identified in the technical topical report, Analysis of Current Field Data, we were 100% successful. In regards to maintaining seal integrity after pigging operations we achieved varying degrees of success. Internal Corrosion defects proved to be the most resistant to the effects of pigging while External Corrosion proved to be the least resistant. Overall, with limitations, pressure activated sealant technology would be a viable option under the right circumstances.

Michael A. Romano

2004-09-01T23:59:59.000Z

202

Fusion Simulation Program  

Science Conference Proceedings (OSTI)

Under this project, General Atomics (GA) was tasked to develop the experimental validation plans for two high priority ISAs, Boundary and Pedestal and Whole Device Modeling in collaboration with the theory, simulation and experimental communities. The following sections have been incorporated into the final FSP Program Plan (www.pppl.gov/fsp), which was delivered to the US Department of Energy (DOE). Additional deliverables by GA include guidance for validation, development of metrics to evaluate success and procedures for collaboration with experiments. These are also part of the final report.

Project Staff (V.S. Chan)

2012-02-29T23:59:59.000Z

203

NETL: Discrete Fracture Reservoir Simulation Software  

NLE Websites -- All DOE Office Websites (Extended Search)

Discrete Fracture Reservoir Simulation FRACGENNFFLOW Shale Gas Flow Simulation Shale Gas Flow Simulation FRACGENNFFLOW, a fractured reservoir modeling software developed by the...

204

Manet simulation studies: The incredibles  

E-Print Network (OSTI)

Simulation is the research tool of choice for a majority of the mobile ad hoc network (MANET) community. However, while the use of simulation has increased, the credibility of the simulation results has decreased. To determine the state of MANET simulation studies, we surveyed the 2000-2005 proceedings of the ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc). From our survey, we found significant shortfalls. We present the results of our survey in this paper. We then summarize common simulation study pitfalls found in our survey. Finally, we discuss the tools available that aid the development of rigorous simulation studies. We offer these results to the community with the hope of improving the credibility of MANET simulation-based studies. I.

Stuart Kurkowski; Tracy Camp; Michael Colagrosso

2005-01-01T23:59:59.000Z

205

Fading channel simulator  

DOE Patents (OSTI)

This invention relates to high frequency (HF) radio signal propagation through fading channels and, more particularly, to simulation of fading channels in order to characterize HF radio system performance in transmitting and receiving signals through such fading channels. Fading channel effects on a transmitted communication signal are simulated with both frequency and time variations using a channel scattering function to affect the transmitted signal. A conventional channel scattering function is converted to a series of channel realizations by multiplying the square root of the channel scattering function by a complex number of which the real and imaginary parts are each independent variables. The two-dimensional inverse-FFT of this complex-valued channel realization yields a matrix of channel coefficients that provide a complete frequency-time description of the channel. The transmitted radio signal is segmented to provide a series of transmitted signal and each segment is subject to FFT to generate a series of signal coefficient matrices. The channel coefficient matrices and signal coefficient matrices are then multiplied and subjected to inverse-FFT to output a signal representing the received affected radio signal. A variety of channel scattering functions can be used to characterize the response of a transmitter-receiver system to such atmospheric effects.

Argo, P.E.; Fitzgerald, T.J.

1991-12-31T23:59:59.000Z

206

Disens: scalable distributed sensor network simulation  

Science Conference Proceedings (OSTI)

Simulation is widely used for developing, evaluating and analyzing sensor network applications, especially when deploying a large scale sensor network remains expensive and labor intensive. However, due to its computation intensive nature, existent simulation ... Keywords: distributed simulation, sensor network, simulation

Ye Wen; Rich Wolski; Gregory Moore

2007-03-01T23:59:59.000Z

207

THERM NFRC Simulation Manual  

NLE Websites -- All DOE Office Websites (Extended Search)

/ WINDOW 6.3 / WINDOW 6.3 NFRC Simulation Manual Lawrence Berkeley National Laboratory July 2013 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product process, or service by its trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement,

208

Cellular array processing simulation  

Science Conference Proceedings (OSTI)

The cellular array processing simulation (CAPS) system is a high-level image language that runs on a multiprocessor configuration. CAPS is interpretively decoded on a conventional minicomputer with all image operation instructions executed on an array processor. CAPS was designed to be both modular and table driven so that it can be easily maintained and modified. CAPS uses the image convolution operator as one of its primitives and performs this cellular operation by decomposing it into parallel image steps. Among its features is the ability to observe the imagery in real time as a user's algorithm is executed. CAPS also contains a language processor that permits users to develop re-entrant image processing subroutines or algorithms. 4 references.

Lee, H.C.; Preston, E.W.

1981-01-01T23:59:59.000Z

209

Lattice Boltzmann Simulation Optimization  

NLE Websites -- All DOE Office Websites (Extended Search)

Boltzmann Boltzmann Simulation Optimization on Leading Multicore Platforms Selected as Best Paper in Application Track, IPDPS 2008, April 14-28, Miami, Florida, USA Samuel Williams † , Jonathan Carter , Leonid Oliker John Shalf , Katherine Yelick † CRD/NERSC, Lawrence Berkeley National Laboratory Berkeley, CA 94720 † CS Division, University of California at Berkeley, Berkeley, CA 94720 {SWWilliams, JTCarter, LOliker, JShalf, KAYelick}@lbl.gov Abstract We present an auto-tuning approach to optimize ap- plication performance on emerging multicore architec- tures. The methodology extends the idea of search- based performance optimizations, popular in linear al- gebra and FFT libraries, to application-specific com- putational kernels. Our work applies this strategy to a lattice Boltzmann application (LBMHD) that histor- ically has made poor use of scalar microprocessors

210

Advanced Simulation Capability for Environmental Management  

Multi-Process High Performance Computing Simulator Modular simulation capability for barrier and waste form degradation, multiphase flow and reactive ...

211

Quantum to Atomistic Simulations - Programmaster.org  

Science Conference Proceedings (OSTI)

Computational Modeling and Simulation of Advanced Materials for Energy Applications: Quantum to Atomistic Simulations Sponsored by: TMS/ASM:...

212

Non-detonable explosive simulators  

DOE Patents (OSTI)

A simulator which is chemically equivalent to an explosive, but is not detonable. The simulator has particular use in the training of explosives detecting dogs and calibrating sensitive analytical instruments. The explosive simulants may be fabricated by different techniques, a first involves the use of standard slurry coatings to produce a material with a very high binder to explosive ratio without masking the explosive vapor, and the second involves coating inert beads with thin layers of explosive molecules. 5 figs.

Simpson, R.L.; Pruneda, C.O.

1994-11-01T23:59:59.000Z

213

Non-detonable explosive simulators  

DOE Patents (OSTI)

A simulator which is chemically equivalent to an explosive, but is not detonable. The simulator has particular use in the training of explosives detecting dogs and calibrating sensitive analytical instruments. The explosive simulants may be fabricated by different techniques, a first involves the use of standard slurry coatings to produce a material with a very high binder to explosive ratio without masking the explosive vapor, and the second involves coating inert beads with thin layers of explosive molecules.

Simpson, Randall L. (Livermore, CA); Pruneda, Cesar O. (Livermore, CA)

1994-01-01T23:59:59.000Z

214

NIST Standard Reference Simulation Website  

Science Conference Proceedings (OSTI)

... simulations, that can be treated similar to "standard reference data ... techniques and compiled by NIST under the Standards Reference Data Program. ...

2013-08-27T23:59:59.000Z

215

Computer interactive resistance simulator (CIRS)  

DOE Patents (OSTI)

A system for simulating the insertion of electric resistance values of either positive or negative quantity into an electric circuit and for cancelling drift errors therefrom.

Mayn, Bobby G. (Pleasanton, CA)

1976-01-01T23:59:59.000Z

216

Computational simulation of aerosol behaviour.  

E-Print Network (OSTI)

??In this thesis, computational methods have been developed for the simulation of aerosol dynamics and transport. Two different coupled aerosol-computational fluid dynamics (CFD) models are (more)

Pyyknen, Jouni

2002-01-01T23:59:59.000Z

217

Simulation I - Programmaster.org  

Science Conference Proceedings (OSTI)

Feb 15, 2010 ... Molecular dynamics Simulation of Nucleation Process: Ramanarayan Hariharaputran1; David Wu1; 1Institute of High Performance Computing,...

218

Logic Simulation Using Graphics Processors.  

E-Print Network (OSTI)

??Logic Simulation is widely used to verify the logical correctness of hardware designs. In this work, we present the implementation of a generic graphics processor (more)

Perinkulam, Atchuthan S

2007-01-01T23:59:59.000Z

219

LAMMPS Molecular Dynamics Simulator - TMS  

Science Conference Proceedings (OSTI)

Nov 8, 2007 ... LAMMPS stands for Large-scale Atomic/Molecular Massively Parallel Simulator. LAMMPS has potentials for soft materials (biomolecules,...

220

Real time wind turbine simulator.  

E-Print Network (OSTI)

??A novel dynamic real-time wind turbine simulator (WTS) is developed in this thesis, which is capable of reproducing dynamic behavior of real wind turbine. The (more)

Gong, Bing

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Occupancy Simulation Schedule Appendix C -Occupancy Simulation Schedule  

E-Print Network (OSTI)

into the electrical panel for run times commensurate with identified use profiles. The profiles enabled sought Figure C.1 and Figure C.2 present the load simulation and occupancy schedules for the lab homes highly insulating windows demonstration. The bases for occupancy simulation were data and analysis developed

222

Jefferson Lab Science Series - Where's the Beach?  

NLE Websites -- All DOE Office Websites (Extended Search)

What Is CEBAF All About? Previous Video (What Is CEBAF All About?) Science Series Video Archive Next Video (Superconducting BAYCO Bits) Superconducting BAYCO Bits Where's the...

223

CALIFORNIA STATE UNIVERSITY, LONG BEACH UPWARD BOUND  

E-Print Network (OSTI)

percent of their caseload from the time limit. Elimination of existing state waivers: Under pre-1996 AFDC does not include food stamps, medicaid and other support services.) Total AFDC/TANF recipients by state

Sorin, Eric J.

224

Foam drilling simulator  

E-Print Network (OSTI)

Although the use of compressible drilling fluids is experiencing growth, the flow behavior and stability properties of drilling foams are more complicated than those of conventional fluids. In contrast with conventional mud, the physical properties of foam change along the wellbore. Foam physical and thermal properties are strongly affected by pressure and temperature. Many problems associated with field applications still exist, and a precise characterization of the rheological properties of these complex systems needs to be performed. The accurate determination of the foam properties in circulating wells helps to achieve better estimation of foam rheology and pressure. A computer code is developed to process the data and closely simulate the pressure during drilling a well. The model also offers a detailed discussion of many aspects of foam drilling operations and enables the user to generate many comparative graphs and tables. The effects of some important parameters such as: back-pressure, rate of penetration, cuttings concentration, cuttings size, and formation water influx on pressure, injection rate, and velocity are presented in tabular and graphical form. A discretized heat transfer model is formulated with an energy balance on a control volume in the flowing fluid. The finite difference model (FDM) is used to write the governing heat transfer equations in discretized form. A detailed discussion on the determination of heat transfer coefficients and the solution approach is presented. Additional research is required to analyze the foam heat transfer coefficient and thermal conductivity.

Paknejad, Amir Saman

2005-12-01T23:59:59.000Z

225

Simulating nanoscale semiconductor devices.  

SciTech Connect

The next generation of electronic devices will be developed at the nanoscale and molecular level, where quantum mechanical effects are observed. These effects must be accounted for in the design process for such small devices. One prototypical nanoscale semiconductor device under investigation is a resonant tunneling diode (RTD). Scientists are hopeful the quantum tunneling effects present in an RTD can be exploited to induce and sustain THz frequency current oscillations. To simulate the electron transport within the RTD, the Wigner-Poisson equations are used. These equations describe the time evolution of the electrons distribution within the device. In this paper, this model and a parameter study using this model will be presented. The parameter study involves calculating the steady-state current output from the RTD as a function of an applied voltage drop across the RTD and also calculating the stability of that solution. To implement the parameter study, the computational model was connected to LOCA (Library of Continuation Algorithms), a part of Sandia National Laboratories parallel solver project, Trilinos. Numerical results will be presented.

Salinger, Andrew Gerhard; Zhao, P. (North Carolina State University, Raleigh, NC); Woolard, D. L. (U. S. Army Research Laboratory, NC); Kelley, C. Tim (North Carolina State University, Raleigh, NC); Lasater, Matthew S. (North Carolina State University, Raleigh, NC)

2005-03-01T23:59:59.000Z

226

TERAPIXEL IMAGING OF COSMOLOGICAL SIMULATIONS  

SciTech Connect

The increasing size of cosmological simulations has led to the need for new visualization techniques. We focus on smoothed particle hydrodynamic (SPH) simulations run with the GADGET code and describe methods for visually accessing the entire simulation at full resolution. The simulation snapshots are rastered and processed on supercomputers into images that are ready to be accessed through a Web interface (GigaPan). This allows any scientist with a Web browser to interactively explore simulation data sets in both spatial and temporal dimensions and data sets which in their native format can be hundreds of terabytes in size or more. We present two examples, the first a static terapixel image of the MassiveBlack simulation, a P-GADGET SPH simulation with 65 billion particles, and the second an interactively zoomable animation of a different simulation with more than 1000 frames, each a gigapixel in size. Both are available for public access through the GigaPan Web interface. We also make our imaging software publicly available.

Feng Yu; Croft, Rupert A. C.; Di Matteo, Tiziana; Khandai, Nishikanta [Bruce and Astrid McWilliams Center for Cosmology, Carnegie Mellon University, Pittsburgh, PA 15213 (United States); Sargent, Randy; Nourbakhsh, Illah; Dille, Paul; Bartley, Chris [Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 (United States); Springel, Volker [Heidelberger Institut fuer Theoretische Studien, Schloss-Wolfsbrunnenweg 35, 69118 Heidelberg (Germany); Jana, Anirban [Pittsburgh Supercomputing Center, Pittsburgh, PA 15213 (United States); Gardner, Jeffrey, E-mail: yfeng1@andrew.cmu.edu [Physics Department, University of Washington, Seattle, WA 98195 (United States)

2011-12-01T23:59:59.000Z

227

BEST: Biochemical Engineering Simulation Technology  

DOE Green Energy (OSTI)

The idea of developing a process simulator that can describe biochemical engineering (a relatively new technology area) was formulated at the National Renewable Energy Laboratory (NREL) during the late 1980s. The initial plan was to build a consortium of industrial and U.S. Department of Energy (DOE) partners to enhance a commercial simulator with biochemical unit operations. DOE supported this effort; however, before the consortium was established, the process simulator industry changed considerably. Work on the first phase of implementing various fermentation reactors into the chemical process simulator, ASPEN/SP-BEST, is complete. This report will focus on those developments. Simulation Sciences, Inc. (SimSci) no longer supports ASPEN/SP, and Aspen Technology, Inc. (AspenTech) has developed an add-on to its ASPEN PLUS (also called BioProcess Simulator [BPS]). This report will also explain the similarities and differences between BEST and BPS. ASPEN, developed by the Massachusetts Institute of Technology for DOE in the late 1970s, is still the state-of-the-art chemical process simulator. It was selected as the only simulator with the potential to be easily expanded into the biochemical area. ASPEN/SP, commercially sold by SimSci, was selected for the BEST work. SimSci completed work on batch, fed-batch, and continuous fermentation reactors in 1993, just as it announced it would no longer commercially support the complete ASPEN/SP product. BEST was left without a basic support program. Luckily, during this same time frame, AspenTech was developing a biochemical simulator with its version of ASPEN (ASPEN PLUS), which incorporates most BEST concepts. The future of BEST will involve developing physical property data and models appropriate to biochemical systems that are necessary for good biochemical process design.

Not Available

1996-01-01T23:59:59.000Z

228

Hybrid simulation models - When, Why, How?  

Science Conference Proceedings (OSTI)

Agent-Based Modeling and Simulation (ABMS) and System Dynamics (SD) are two popular simulation paradigms. Despite their common goal, these simulation methods are rarely combined and there has been a very low amount of joint research in these fields. ... Keywords: Agent-Based Modeling and Simulation, Artificial intelligence, Expert Systems, Hybrid simulation models, System Dynamics

Lauri Lttil; Per Hilletofth; Bishan Lin

2010-12-01T23:59:59.000Z

229

Mixed-Technology System-Level Simulation  

Science Conference Proceedings (OSTI)

This paper describes a computationally efficient method to simulate mixed-domain systems under the requirements of a system-level framework. The approach is the combined use of Modified Nodal Analysis (MNA) for the representation of a mixed-technology ... Keywords: MEM simulation, microsystem modeling and simulation, modified nodal analysis (MNA), optical MEM CAD tool, optoelectronic simulation, piecewise linear simulation (PWL)

J. A. Martinez; T. P. Kurzweg; S. P. Levitan; P. J. Marchand; D. M. Chiarulli

2001-10-01T23:59:59.000Z

230

Validation of a Geothermal Simulator  

DOE Green Energy (OSTI)

A geothermal simulator, TETRAD, is validated against the Stanford Geothermal Problem Set. The governing equations, formulation, and solution technique employed by TETRAD are first outlined. Each problem in the Stanford Problem Set is then discussed in detail, and results from the simulations are presented. The results obtained using TETRAD are compared against several other geothermal simulators. Favorable comparison between results indicates that TETRAD is capable of solving the highly non-linear equations describing the flow of mass and energy in porous media. This validation exercise allows for the use of TETRAD in studying geothermal problems with a high degree of confidence.

Shook, G.M.; Faulder, D.D.

1991-10-01T23:59:59.000Z

231

Numerical wind speed simulation model  

DOE Green Energy (OSTI)

A relatively simple stochastic model for simulating wind speed time series that can be used as an alternative to time series from representative locations is described in this report. The model incorporates systematic seasonal variation of the mean wind, its standard deviation, and the correlation speeds. It also incorporates systematic diurnal variation of the mean speed and standard deviation. To demonstrate the model capabilities, simulations were made using model parameters derived from data collected at the Hanford Meteorology Station, and results of analysis of simulated and actual data were compared.

Ramsdell, J.V.; Athey, G.F.; Ballinger, M.Y.

1981-09-01T23:59:59.000Z

232

Applications of agent based simulation  

Science Conference Proceedings (OSTI)

This paper provides a survey and analysis of applications of Agent Based Simulation (ABS). A framework for describing and assessing the applications is presented and systematically applied. A general conclusion from the study is that even if ABS seems ...

Paul Davidsson; Johan Holmgren; Hans Kyhlbck; Dawit Mengistu; Marie Persson

2006-05-01T23:59:59.000Z

233

Numerical Simulations of Maritime Frontogenesis  

Science Conference Proceedings (OSTI)

A hydrostatic primitive equation model initialized in a highly baroclinically unstable state was used to simulate maritime cyclogenesis and frontogenesis. In order to identify boundary layer physical processes important in maritime frontogenesis, ...

William T. Thompson; R. T. Williams

1997-01-01T23:59:59.000Z

234

Physics and detector simulation requirements  

Science Conference Proceedings (OSTI)

This document describes the computing environment needed to meet the requirements for high energy physics Monte Carlo Calculations for the simulation of Superconducting Super Collider Laboratory physics and detectors. (AIP)

Computer Acquisition Working Group

1990-01-01T23:59:59.000Z

235

Monte Carlo Simulation of Solidification  

Science Conference Proceedings (OSTI)

m>= (2+ cod).( l- cose)2. 4. (3). In the simulation, it is assumed that the nucleation in a cell (iJ) would not take place until the accumulation of nucleation (Ni)...

236

Computer Simulation Center in Internet  

E-Print Network (OSTI)

The general description of infrastructure and content of SciShop.ru computer simulation center is given. This resource is a new form of knowledge generation and remote education using modern Cloud Computing technologies.

Tarnavsky, G A

2011-01-01T23:59:59.000Z

237

Simulation aids cogeneration system analysis  

Science Conference Proceedings (OSTI)

Cogeneration systems using gas turbines and heat-recovery steam generators (HRSGs) are widely used in chemical process industries (CPI) plants. Because these plants are quite expensive and the HRSG is an important part of the system, it is prudent to analyze the heat-recovery system or simulate its performance well in advance of finalizing plant specifications. Simulation is a method of predicting the performance of the HRSG under different operating modes and gas and steam conditions without physically designing the equipment. Such a study will provide the engineer with valuable information about the HRSG and its performance capabilities. The simulation results could influence the choice of steam system parameters and the selection of the steam or gas turbine. In addition, one may also obtain information about the performance of the HRSG and the cogeneration system. This article explains what HRSG simulation is and the basic methodology. Its applications are then illustrated through several examples.

Ganapathy, V.

1993-10-01T23:59:59.000Z

238

Simulation data as data streams  

Science Conference Proceedings (OSTI)

Computational or scientific simulations are increasingly being applied to solve a variety of scientific problems. Domains such as astrophysics, engineering, chemistry, biology, and environmental studies are benefiting from this important capability. ...

Ghaleb Abdulla; Terence Critchlow; William Arrighi

2004-03-01T23:59:59.000Z

239

Factor Separation in Numerical Simulations  

Science Conference Proceedings (OSTI)

A simple method is developed for computing the interactions among various factors influencing the atmospheric circulations. It is shown how numerical simulations can be utilized to obtain the pure contribution of any factor to any predicted field,...

U. Stein; P. Alpert

1993-07-01T23:59:59.000Z

240

Robust simulation of lamprey tracking  

Science Conference Proceedings (OSTI)

Biologically realistic computer simulation of vertebrates is a challenging problem with exciting applications in computer graphics and robotics. Once the mechanics of locomotion are available it is interesting to mediate this locomotion with higher level ...

Matthew Beauregard; Paul J. Kennedy

2006-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Catching Carbon with Computer Simulations  

NLE Websites -- All DOE Office Websites (Extended Search)

CRD and Material Sciences Researchers Receive 2 Million to Develop Efficient Carbon Capture Simulation Tools Contact: Linda Vu, lvu@lbl.gov , 510-495-2402 Share September 30,...

242

Confidence in ASCI scientific simulations  

SciTech Connect

The US Department of Energy`s (DOE) Accelerated Strategic Computing Initiative (ASCI) program calls for the development of high end computing and advanced application simulations as one component of a program to eliminate reliance upon nuclear testing in the US nuclear weapons program. This paper presents results from the ASCI program`s examination of needs for focused validation and verification (V and V). These V and V activities will ensure that 100 TeraOP-scale ASCI simulation code development projects apply the appropriate means to achieve high confidence in the use of simulations for stockpile assessment and certification. The authors begin with an examination of the roles for model development and validation in the traditional scientific method. The traditional view is that the scientific method has two foundations, experimental and theoretical. While the traditional scientific method does not acknowledge the role for computing and simulation, this examination establishes a foundation for the extension of the traditional processes to include verification and scientific software development that results in the notional framework known as Sargent`s Framework. This framework elucidates the relationships between the processes of scientific model development, computational model verification and simulation validation. This paper presents a discussion of the methodologies and practices that the ASCI program will use to establish confidence in large-scale scientific simulations. While the effort for a focused program in V and V is just getting started, the ASCI program has been underway for a couple of years. The authors discuss some V and V activities and preliminary results from the ALEGRA simulation code that is under development for ASCI. The breadth of physical phenomena and the advanced computational algorithms that are employed by ALEGRA make it a subject for V and V that should typify what is required for many ASCI simulations.

Ang, J.A.; Trucano, T.G. [Sandia National Labs., Albuquerque, NM (United States); Luginbuhl, D.R. [Dept. of Energy, Washington, DC (United States)

1998-06-01T23:59:59.000Z

243

Proceedings of the Winter Simulation Conference  

Science Conference Proceedings (OSTI)

Welcome to the 2012 Winter Simulation Conference (WSC), recognized as the premiere international conference for simulation professionals in discrete and combined discrete-continuous simulation. Our venue of Berlin this year continues the trend of new ...

Oliver Rose; Adelinde M. Uhrmacher

2012-12-01T23:59:59.000Z

244

System dynamics simulation of the telecom industry  

E-Print Network (OSTI)

The primary goal of this research effort was to integrate several pieces of relatively simple dynamics simulations into a full blown system dynamics simulation of the telecom industry. The economic simulation model was ...

Shapira, Gil, 1971-

2004-01-01T23:59:59.000Z

245

Efficient simulation-based discrete optimization  

Science Conference Proceedings (OSTI)

In many practical applications of simulation it is desirable to optimize the levels of integer or binary variables that are inputs for the simulation model. In these cases, the objective function must often be estimated through an expensive simulation ...

Seth D. Guikema; Rachel A. Davidson; Zehra a?nan

2004-12-01T23:59:59.000Z

246

An advanced fuel cell simulator  

E-Print Network (OSTI)

Fuel cell power generation systems provide a clean alternative to the conventional fossil fuel based systems. Fuel cell systems have a high e?ciency and use easily available hydrocarbons like methane. Moreover, since the by-product is water, they have a very low environmental impact. The fuel cell system consists of several subsystems requiring a lot of e?ort from engineers in diverse areas. Fuel cell simulators can provide a convenient and economic alternative for testing the electrical subsystems such as converters and inverters. This thesis proposes a low-cost and an easy-to-use fuel cell simulator using a programmable DC supply along with a control module written in LabVIEW. This simulator reproduces the electrical characteristics of a 5kW solid oxide fuel cell (SOFC) stack under various operating conditions. The experimental results indicate that the proposed simulator closely matches the voltage-current characteristic of the SOFC system under varying load conditions. E?ects of non-electrical parameters like hydrogen ?ow rate are also modeled and these parameters are taken as dynamic inputs from the user. The simulator is customizable through a graphical user interface and allows the user to model other types of fuel cells with the respective voltage-current data. The simulator provides an inexpensive and accurate representation of a solid oxide fuel cell under steady state and transient conditions and can replace an actual fuel cell during testing of power conditioning equipment.

Acharya, Prabha Ramchandra

2004-08-01T23:59:59.000Z

247

Building Technologies Office: House Simulation Protocols Report  

NLE Websites -- All DOE Office Websites (Extended Search)

House Simulation House Simulation Protocols Report to someone by E-mail Share Building Technologies Office: House Simulation Protocols Report on Facebook Tweet about Building Technologies Office: House Simulation Protocols Report on Twitter Bookmark Building Technologies Office: House Simulation Protocols Report on Google Bookmark Building Technologies Office: House Simulation Protocols Report on Delicious Rank Building Technologies Office: House Simulation Protocols Report on Digg Find More places to share Building Technologies Office: House Simulation Protocols Report on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Research Innovations Research Tools Building Science Education Climate-Specific Guidance Solution Center

248

MAPPING HVAC SYSTEMS FOR SIMULATION IN ENERGYPLUS  

E-Print Network (OSTI)

LBNL-XXXXX MAPPING HVAC SYSTEMS FOR SIMULATION IN ENERGYPLUSof California. MAPPING HVAC SYSTEMS FOR SIMULATION INpresent a conventional view of HVAC systems to the user, and

Basarkar, Mangesh

2013-01-01T23:59:59.000Z

249

Theory, Modeling & Simulation | More Science | ORNL  

NLE Websites -- All DOE Office Websites (Extended Search)

Theory, Modeling and Simulation SHARE Theory, Modeling and Simulation ORNL conducts a broad range of theoretical research in the physical sciences with over 60 staff members and...

250

Theory, Modeling & Simulation | More Science | ORNL  

NLE Websites -- All DOE Office Websites (Extended Search)

Materials Theory and Simulation SHARE Materials Theory and Simulation ORNL conducts a broad range of theoretical research in the physical sciences with over 60 staff members and...

251

Zero Power Reactor simulation | Argonne National Laboratory  

NLE Websites -- All DOE Office Websites (Extended Search)

Zero Power Reactor simulation Share Description Ever wanted to see a nuclear reactor core in action? Here's a detailed simulation of the Zero Power Reactor experiment, run by...

252

Computer-Simulation-Assisted Lean Manufacturing Training.  

E-Print Network (OSTI)

??This thesis assesses the potential of using computer simulation to aid existing lean manufacturing training methods such as lecture and live simulation. An investigation of (more)

Wang, Luoding 1970-

2005-01-01T23:59:59.000Z

253

Simulating Complex Window Systems using BSDF Data  

E-Print Network (OSTI)

Simulating Complex Window Systems using BSDF Data MariaJune 2009 Simulating Complex Window Systems using BSDF Datathe performance of conventional window systems. Complex

Konstantoglou, Maria

2011-01-01T23:59:59.000Z

254

A Simulator for Timed CSP  

E-Print Network (OSTI)

Time is an integral aspect of computer systems. It is essential for modelling a systems performance, but may also affect its safety or security. Timed CSP [Sch00] conservatively extends the process algebra CSP with timed primitives, where real numbers ? 0 model how time passes with reference to a single, conceptually global, clock. While there have been approaches for model checking Timed CSP ([Sch00, DHSZ06]), to the best of our knowledge we are the first to present a simulator for Timed CSP. Here, we restrict time to rational values only. Theoretically, this limits the expressibility of the language. Practically, this limitation turns out to be negligible (for instance all examples of Schneiders book [Sch00] can be dealt with in our simulator). The simulator is the outcome of an undergraduate project at Swansea University [Dra11]. Our Timed CSP simulator extends the open source tool ProB [Leu]. ProBs CSP simulator works as follows: The CSP specification is analyzed by a parser (written in Haskell) and translated to a representation in Prolog. A CSP Interpreter (in Prolog) stores the firing rules of CSPs operational semantics. The Simulator (also in Prolog) determines the actions available and the resultant states. A GUI (written in Tcl/Tk) allows the user to interact with the Simulator. Timed CSP is closed under rational time [DNR11]. Consider, for example, the following firing rule ( t ? stands for a timed transition of duration t): P d? ? P ? (P ?d Q) d?

Marc Dragon; Andy Gimblett; Markus Roggenbach; Jens Bendisposto; Cliff Jones; Michael Leuschel; Er Romanovsky; Tiziana Margaria; Julia Padberg; Gabriele Taentzer; Marc Dragon; Andy Gimblett; Markus Roggenbach

2011-01-01T23:59:59.000Z

255

Stochastic models: theory and simulation.  

SciTech Connect

Many problems in applied science and engineering involve physical phenomena that behave randomly in time and/or space. Examples are diverse and include turbulent flow over an aircraft wing, Earth climatology, material microstructure, and the financial markets. Mathematical models for these random phenomena are referred to as stochastic processes and/or random fields, and Monte Carlo simulation is the only general-purpose tool for solving problems of this type. The use of Monte Carlo simulation requires methods and algorithms to generate samples of the appropriate stochastic model; these samples then become inputs and/or boundary conditions to established deterministic simulation codes. While numerous algorithms and tools currently exist to generate samples of simple random variables and vectors, no cohesive simulation tool yet exists for generating samples of stochastic processes and/or random fields. There are two objectives of this report. First, we provide some theoretical background on stochastic processes and random fields that can be used to model phenomena that are random in space and/or time. Second, we provide simple algorithms that can be used to generate independent samples of general stochastic models. The theory and simulation of random variables and vectors is also reviewed for completeness.

Field, Richard V., Jr.

2008-03-01T23:59:59.000Z

256

Radiation in molecular dynamic simulations  

DOE Green Energy (OSTI)

Hot dense radiative (HDR) plasmas common to Inertial Confinement Fusion (ICF) and stellar interiors have high temperature (a few hundred eV to tens of keV), high density (tens to hundreds of g/cc) and high pressure (hundreds of Megabars to thousands of Gigabars). Typically, such plasmas undergo collisional, radiative, atomic and possibly thermonuclear processes. In order to describe HDR plasmas, computational physicists in ICF and astrophysics use atomic-scale microphysical models implemented in various simulation codes. Experimental validation of the models used to describe HDR plasmas are difficult to perform. Direct Numerical Simulation (DNS) of the many-body interactions of plasmas is a promising approach to model validation but, previous work either relies on the collisionless approximation or ignores radiation. We present a new numerical simulation technique to address a currently unsolved problem: the extension of molecular dynamics to collisional plasmas including emission and absorption of radiation. The new technique passes a key test: it relaxes to a blackbody spectrum for a plasma in local thermodynamic equilibrium. This new tool also provides a method for assessing the accuracy of energy and momentum exchange models in hot dense plasmas. As an example, we simulate the evolution of non-equilibrium electron, ion, and radiation temperatures for a hydrogen plasma using the new molecular dynamics simulation capability.

Glosli, J; Graziani, F; More, R; Murillo, M; Streitz, F; Surh, M

2008-10-13T23:59:59.000Z

257

Simulator for Microlens Planet Surveys  

E-Print Network (OSTI)

We summarize the status of a computer simulator for microlens planet surveys. The simulator generates synthetic light curves of microlensing events observed with specified networks of telescopes over specified periods of time. Particular attention is paid to models for sky brightness and seeing, calibrated by fitting to data from the OGLE survey and RoboNet observations in 2011. Time intervals during which events are observable are identified by accounting for positions of the Sun and the Moon, and other restrictions on telescope pointing. Simulated observations are then generated for an algorithm that adjusts target priorities in real time with the aim of maximizing planet detection zone area summed over all the available events. The exoplanet detection capability of observations was compared for several telescopes.

Ipatov, Sergei I; Alsubai, Khalid A; Bramich, Daniel M; Dominik, Martin; Hundertmark, Markus P G; Liebig, Christine; Snodgrass, Colin D B; Street, Rachel A; Tsapras, Yiannis

2013-01-01T23:59:59.000Z

258

Simulating chemistry using quantum computers  

E-Print Network (OSTI)

The difficulty of simulating quantum systems, well-known to quantum chemists, prompted the idea of quantum computation. One can avoid the steep scaling associated with the exact simulation of increasingly large quantum systems on conventional computers, by mapping the quantum system to another, more controllable one. In this review, we discuss to what extent the ideas in quantum computation, now a well-established field, have been applied to chemical problems. We describe algorithms that achieve significant advantages for the electronic-structure problem, the simulation of chemical dynamics, protein folding, and other tasks. Although theory is still ahead of experiment, we outline recent advances that have led to the first chemical calculations on small quantum information processors.

Ivan Kassal; James D. Whitfield; Alejandro Perdomo-Ortiz; Man-Hong Yung; Aln Aspuru-Guzik

2010-07-15T23:59:59.000Z

259

Heat Recovery Steam Generator Simulation  

E-Print Network (OSTI)

The paper discusses the applications of Heat Recovery Steam Generator Simulation. Consultants, plant engineers and plant developers can evaluate the steam side performance of HRSGs and arrive at the optimum system which matches the needs of the process plant, cogeneration or combined cycle plant. There is no need to design the HRSG per se and hence simulation is a valuable tool for anyone interested in evaluating the HRSG performance even before it is designed. It can also save a lot of time for specification writers as they need not guess how the steam side performance will vary with different gas/steam parameters. A few examples are given to show how simulation methods can be applied to real life problems.

Ganapathy, V.

1993-03-01T23:59:59.000Z

260

Efficient Mushroom Cloud Simulation on GPU  

Science Conference Proceedings (OSTI)

In this paper, we present a method to simulate the Mushroom Cloud efficient on GPU using advanced particle system, and our particle system is a state-preserving simulation system. We provide the visual-only model of Mushroom Cloud and we divide the Mushroom ... Keywords: Floating Point Textures, GPU (Graphics Processing Unit), Mushroom Cloud simulation, particle system, state-preserving simulation

Xingquan Cai; Jinhong Li; Zhitong Su

2008-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

JILA Researchers Discover Atomic Clock Can Simulate ...  

Science Conference Proceedings (OSTI)

... Artist's conception of interactions among atoms in JILA's strontium atomic clock during a quantum simulation experiment. ...

2013-08-20T23:59:59.000Z

262

Measurement of simulation speed: its relation to simulation accuracy  

E-Print Network (OSTI)

mainly by the time step. For non-spiking neurons, this means not larger than 100 usec for a reasonable physiological simulations we don't need better accuracy than 2-5%, time steps on the order of 100 usec

Pennsylvania, University of

263

Water simulation of sodium reactors  

Science Conference Proceedings (OSTI)

The thermal hydraulic simulation of a large sodium reactor by a scaled water model is examined. The Richardson Number, friction coefficient and the Peclet Number can be closely matched with the water system at full power and the similarity is retained for buoyancy driven flows. The simulation of thermal-hydraulic conditions in a reactor vessel provided by a scaled water experiment is better than that by a scaled sodium test. Results from a correctly scaled water test can be tentatively extrapolated to a full size sodium system.

Grewal, S.S.; Gluekler, E.L.

1981-06-28T23:59:59.000Z

264

Simulation-assisted inductive learning  

Science Conference Proceedings (OSTI)

Learning by induction can require a large number of training examples. We show the power of using a simulator to generate training data and test data in learning rules for an expert system. The induction program is RL, a simplified version of Meta-DENDRAL. The expert system is ABLE, a rule-based system that identifies and located errors in particle beam lines used in high energy physics. A simulator of beam lines allowed forming and testing rules on sufficient numbers of cases that ABLE's performance is demonstrably accurate and precise. 13 refs., 2 figs.

Buchanan, B.G.; Sullivan, J.; Cheng, Tze-Pin; Clearwater, S.H.

1988-01-01T23:59:59.000Z

265

Universal digital quantum simulation with trapped ions  

E-Print Network (OSTI)

A digital quantum simulator is an envisioned quantum device that can be pro- grammed to efficiently simulate any other local system. We demonstrate and investigate the digital approach to quantum simulation in a system of trapped ions. Using sequences of up to 100 gates and 6 qubits, the full time dynamics of a range of spin systems are digitally simulated. Interactions beyond those naturally present in our simulator are accurately reproduced and quantitative bounds are provided for the overall simulation quality. Our results demon- strate the key principles of digital quantum simulation and provide evidence that the level of control required for a full-scale device is within reach.

B. P. Lanyon; C. Hempel; D. Nigg; M. Mller; R. Gerritsma; F. Zhringer; P. Schindler; J. T. Barreiro; M. Rambach; G. Kirchmair; M. Hennrich; P. Zoller; R. Blatt; C. F. Roos

2011-09-07T23:59:59.000Z

266

An Interactive Simulation Framework for Burning Objects  

E-Print Network (OSTI)

We present a simulation framework to integrate several aspects of the combustion and burning process in a unified and modular manner. A simple three gas flame model is used to simulate a combustion process, while air motion is simulated as a single moving fluid. Solid objects inside the simulation domain can catch fire and start burning. Heat information is transferred from the fluid simulator to a solid simulator, while the solid simulator injects fuel into the fluid simulation. We also present a simple yet effective method for modeling of object decomposition under combustion using level set methods. The interaction between modules is presented as well as a discussion of fluid-solid coupling. All simulation modules run together at interactive rates, enabling the user to tweak the simulation parameters and setup for desired behavior 1. 1

Zeki Melek; John Keyser

2005-01-01T23:59:59.000Z

267

Numerical Simulations of Black Holes  

E-Print Network (OSTI)

Numerical Simulations of Black Holes 26 Aug 2009 Frank Herrmann (fherrman@umd.edu) Department · merger of compact objects Much more than just black hole evolutions · Formulations · Hyperboloidal)/2.0; . . . high arithmetic intensity Operator Number of times used 12,961 + 5,398 - 3,438 / 69 14 #12;Black Hole

Maryland at College Park, University of

268

Particle simulations of space weather  

Science Conference Proceedings (OSTI)

We review the application of particle simulation techniques to the full kinetic study of space weather events. We focus especially on the methods designed to overcome the difficulties created by the tremendous range of time and space scales present in ... Keywords: Adaptive, Implicit, Particle-in-cell, Space weather

Giovanni Lapenta

2012-02-01T23:59:59.000Z

269

Simulation of Shot Peen Forming  

Science Conference Proceedings (OSTI)

Figure: ...balls, 4.0 mm diam, v B =6.1 m/s; stochastically distributed shot impacts; control of kinetic energy of single impacts with calculation of the contact, three-dimensional mesh; fine discretization in the middle of the sample; elastic-plastic material behaviour. (a) Before the simulation. (b) After the...

270

Xyce parallel electronic simulator design.  

Science Conference Proceedings (OSTI)

This document is the Xyce Circuit Simulator developer guide. Xyce has been designed from the 'ground up' to be a SPICE-compatible, distributed memory parallel circuit simulator. While it is in many respects a research code, Xyce is intended to be a production simulator. As such, having software quality engineering (SQE) procedures in place to insure a high level of code quality and robustness are essential. Version control, issue tracking customer support, C++ style guildlines and the Xyce release process are all described. The Xyce Parallel Electronic Simulator has been under development at Sandia since 1999. Historically, Xyce has mostly been funded by ASC, the original focus of Xyce development has primarily been related to circuits for nuclear weapons. However, this has not been the only focus and it is expected that the project will diversify. Like many ASC projects, Xyce is a group development effort, which involves a number of researchers, engineers, scientists, mathmaticians and computer scientists. In addition to diversity of background, it is to be expected on long term projects for there to be a certain amount of staff turnover, as people move on to different projects. As a result, it is very important that the project maintain high software quality standards. The point of this document is to formally document a number of the software quality practices followed by the Xyce team in one place. Also, it is hoped that this document will be a good source of information for new developers.

Thornquist, Heidi K.; Rankin, Eric Lamont; Mei, Ting; Schiek, Richard Louis; Keiter, Eric Richard; Russo, Thomas V.

2010-09-01T23:59:59.000Z

271

Tutorial: Parallel Simulation on Supercomputers  

Science Conference Proceedings (OSTI)

This tutorial introduces typical hardware and software characteristics of extant and emerging supercomputing platforms, and presents issues and solutions in executing large-scale parallel discrete event simulation scenarios on such high performance computing systems. Covered topics include synchronization, model organization, example applications, and observed performance from illustrative large-scale runs.

Perumalla, Kalyan S [ORNL

2012-01-01T23:59:59.000Z

272

2, 14671508, 2002 simulations of  

E-Print Network (OSTI)

the activity parameterization of the nucleation rate by Koop et al. (2000). The simulations are constrained on the time history of relative humidity with respect to ice, aerosol size distribution, partitioning of water10 between gas and particle phase, onset times of freezing, freezing threshold relative humidities

Paris-Sud XI, Université de

273

Fluctuations in molecular dynamics simulations  

Science Conference Proceedings (OSTI)

Statistical fluctuations of a system about its equilibrium state, monitored in a molecular dynamics simulation, are an effective means of computing the thermodynamic and kinetic properties of interfaces in metals and alloys. In this work, three applications ... Keywords: Fluctuations, Grain boundaries, Interfaces, Interfacial free energy, Mobility, Molecular dynamics

J. J. Hoyt; Z. T. Trautt; M. Upmanyu

2010-03-01T23:59:59.000Z

274

Cloning Parallel Simulations MARIA HYBINETTE  

E-Print Network (OSTI)

). Our performance results with a commercial air traffic control sim- ulation demonstrate that cloning parallel simulations can or do play a role include air traffic control, gaming strategy and battle is by permission of the ACM, Inc. To copy otherwise, to republish, to post on servers, or to redistribute to lists

Hybinette, Maria

275

Fusion Simulation Project Workshop Report  

E-Print Network (OSTI)

for tokamak operation, disruptions, energetic particle stability and confinement, turbulent transport to performance projections and operational limits. The Fusion Simulation Project, which will focus on tokamak and transient heat loads on the divertor . . . . . 17 2.1.3 Tritium migration and impurity transport

Gropp, Bill

276

MONITORING AND MODELING NEARSHORE DREDGE DISPOSAL FOR INDIRECT BEACH NOURISHMENT, OCEAN BEACH, SAN  

E-Print Network (OSTI)

); flagrockfish,PlatformGrace(DonnaSchroeder);young- of-the-year cowcod,shell mound,Platform Gail (Milton Love habitat for fishes. The seafloor surrounding a platform is littered with mussel shells. This "shell mound" (also called "mussel mound" or "shell hash") is created when living mussels,and other invertebrates

277

Reservoir management using streamline simulation  

E-Print Network (OSTI)

Geostatistical techniques can generate fine-scale description of reservoir properties that honor a variety of available data. The differences among multiple geostatistical realizations indicate the presence of uncertainty due to the lack of information and sparsity of data. Quantifying this uncertainty in terms of reservoir performance forecast poses a major reservoir management challenge. One solution to this problem is flow simulation of a large number of these plausible reservoir descriptions. However, this approach is not feasible in practice because of the computational costs associated with multiple detailed flow simulations. Other major reservoir management challenges include the determination of the swept and unswept areas at a particular time of interest in the life of a reservoir. Until now, sweep efficiency correlations have generally been limited to homogeneous 2-D cases. Calculating volumetric sweep efficiency in a 3-D heterogeneous reservoir is difficult due to the inherent complexity of multiple layers and arbitrary well configurations. Identifying the swept and unswept areas is primarily important for making a decision on the infill locations. Most of the mature reservoirs all over the world are under waterflood. Managing a waterflood requires an understanding of how injection wells displace oil to producing wells. By quantifying the fluid movements, the displacement process can be actively managed. Areas that are not being swept can be developed, and inefficiencies, such as water cycling, can be removed. Conventional simulation provides general answers to almost all of these problems, however time constraint prohibits using a detailed model to capture complexities for each well. Three dimensional streamline simulation can meet most of these reservoir management challenges. Moreover use of fast streamline-based simulation technique offers significant potential in terms of computational efficiency. Its high performance simulation speed makes it well suited for describing flow characteristics for high resolution reservoir models and can be used on a routine basis to make effective and efficient reservoir management decisions. In this research, we extend the capability of streamline simulation as an efficient tool for reservoir management purposes. We show its application in terms of swept volume calculations, ranking of stochastic reservoir models, pattern rate allocation and reservoir performance forecasting under uncertainty.

Choudhary, Manoj Kumar

2000-01-01T23:59:59.000Z

278

Teaching the classics of simulation to beginners, panel: teaching the classics of simulation to beginners (panel)  

Science Conference Proceedings (OSTI)

In order to get more people to use and understand simulation, improved teaching of simulation to beginners is important. The panel members share their experience in teaching the classic systems of simulation, used for several decades, to novice students.

Ingolf Sthl; Raymond R. Hill; Joan M. Donohue; Henry Herper; Catherine M. Harmonosky; W. David Kelton

2003-12-01T23:59:59.000Z

279

Predictive Simulation | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Predictive Predictive Simulation Predictive Simulation Empirical To First Principle Models Computing tools currently used in nuclear industry and regulatory practice are based primarily on empirical math models to approximate, or fit, existing experimental data. Many have a pedigree reaching back to the 1970s and 1980s and were designed to support decision making and evaluate everything from behavior of individual fuel pellets to severe accident scenarios for an entire power plant. Programs like SAPHIRE, FRAPCON, RELAP5, and MELCOR are just a few examples of current computing tools used in the regulation and operation of nuclear power plants. While these conventional tools have been updated for today's technology, they still suffer from limitations of their original

280

Computer simulation and scientific visualization  

SciTech Connect

The simulation of processes in engineering and the physical sciences has progressed rapidly over the last several years. With rapid developments in supercomputers, parallel processing, numerical algorithms and software, scientists and engineers are now positioned to quantitatively simulate systems requiring many billions of arithmetic operations. The need to understand and assimilate such massive amounts of data has been a driving force in the development of both hardware and software to create visual representations of the underling physical systems. In this paper, and the accompanying videotape, the evolution and development of the visualization process in scientific computing will be reviewed. Specific applications and associated imaging hardware and software technology illustrate both the computational needs and the evolving trends. 6 refs.

Weber, D.P.; Moszur, F.M.

1990-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Multiscale Stochastic Simulation and Modeling  

Science Conference Proceedings (OSTI)

Acceleration driven instabilities of fluid mixing layers include the classical cases of Rayleigh-Taylor instability, driven by a steady acceleration and Richtmyer-Meshkov instability, driven by an impulsive acceleration. Our program starts with high resolution methods of numerical simulation of two (or more) distinct fluids, continues with analytic analysis of these solutions, and the derivation of averaged equations. A striking achievement has been the systematic agreement we obtained between simulation and experiment by using a high resolution numerical method and improved physical modeling, with surface tension. Our study is accompanies by analysis using stochastic modeling and averaged equations for the multiphase problem. We have quantified the error and uncertainty using statistical modeling methods.

James Glimm; Xiaolin Li

2006-01-10T23:59:59.000Z

282

Visually simulating realistic fluid motion  

E-Print Network (OSTI)

In this thesis we investigate various methods for visually simulating fluid flow. The focus is on implementing effective fluid simulation within an interactive animation system. Two implementations have been developed based on derivations and simplifications of the Navier-Stokes' equations. The first implementation is the most accurate and follows the physics of fluid dynamics more closely. However, the high computation times incurred by this implementation make it inappropriate as an interactive method. The second approach is not as accurate as the first one, however it incurs lower computation times. This second method is only able to model a subset of the total fluid behavior. The second method has been integrated into an interactive modeling and animation environment. Several examples are included.

Naithani, Priyanka

2002-01-01T23:59:59.000Z

283

Simulation Research Group, LBNL, USA  

NLE Websites -- All DOE Office Websites (Extended Search)

* T. Hong () Simulation Research Group, LBNL, USA e-mail: thong@lbl.gov Building Energy Benchmarking between the United States and China: Methods and Challenges Tianzhen Hong 1,* , Le Yang 2 , Jianjun Xia 2 , Wei Feng 1 1 Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA 2 Tsinghua University, Beijing 100084, China Abstract. Currently, buildings in the U.S. account for more than 40% of total primary energy. In China the

284

Reversible Simulations of Elastic Collisions  

Science Conference Proceedings (OSTI)

Consider a system of N identical hard spherical particles moving in a d-dimensional box and undergoing elastic, possibly multi-particle, collisions. We develop a new algorithm that recovers the pre-collision state from the post-collision state of the system, across a series of consecutive collisions, \\textit{with essentially no memory overhead}. The challenge in achieving reversibility for an n-particle collision (where, in general, nN) arises from the presence of nd-d-1 degrees of freedom (arbitrary angles) during each collision, as well as from the complex geometrical constraints placed on the colliding particles. To reverse the collisions in a traditional simulation setting, all of the particular realizations of these degrees of freedom (angles) during the forward simulation must be tracked. This requires memory proportional to the number of collisions, which grows very fast with N and d, thereby severely limiting the \\textit{de facto} applicability of the scheme. This limitation is addressed here by first performing a pseudo-randomization of angles, which ensures determinism in the reverse path for any values of n and d. To address the more difficult problem of geometrical and dynamic constraints, a new approach is developed which correctly samples the constrained phase space. Upon combining the pseudo-randomization with correct phase space sampling, perfect reversibility of collisions is achieved, as illustrated for nn=2, d=3. This result enables, for the first time, reversible simulations of elastic collisions with essentially zero memory accumulation. In principle, the approach presented here could be generalized to larger values of n, which would be of definite interest for molecular dynamics simulations at high densities.

Perumalla, Kalyan S [ORNL; Protopopescu, Vladimir A [ORNL

2013-01-01T23:59:59.000Z

285

Modeling and Simulation for Safeguards  

SciTech Connect

The purpose of this talk is to give an overview of the role of modeling and simulation in Safeguards R&D and introduce you to (some of) the tools used. Some definitions are: (1) Modeling - the representation, often mathematical, of a process, concept, or operation of a system, often implemented by a computer program; (2) Simulation - the representation of the behavior or characteristics of one system through the use of another system, especially a computer program designed for the purpose; and (3) Safeguards - the timely detection of diversion of significant quantities of nuclear material. The role of modeling and simulation are: (1) Calculate amounts of material (plant modeling); (2) Calculate signatures of nuclear material etc. (source terms); and (3) Detector performance (radiation transport and detection). Plant modeling software (e.g. FACSIM) gives the flows and amount of material stored at all parts of the process. In safeguards this allow us to calculate the expected uncertainty of the mass and evaluate the expected MUF. We can determine the measurement accuracy required to achieve a certain performance.

Swinhoe, Martyn T. [Los Alamos National Laboratory

2012-07-26T23:59:59.000Z

286

User manual for Timed-CSP Simulator  

E-Print Network (OSTI)

Timed Csp Simulator is based on the presentation of Timed Csp in [4]. For a brief discussion of the tool architecture see [1, 2]. The semantical questions regarding simulating Timed Csp are discussed in [3].

Hoang Nga Nguyen; Markus Roggenbach

2012-01-01T23:59:59.000Z

287

Enhancing business process management with simulation optimization  

Science Conference Proceedings (OSTI)

A growing number of business process management software vendors are offering simulation capabilities to extend their modeling functions and enhance their analytical proficiencies. Simulation is promoted to enable examination and testing of decisions ...

Jay April; Marco Better; Fred Glover; James Kelly; Manuel Laguna

2006-12-01T23:59:59.000Z

288

Simulations of Electric Fields within a Thunderstorm  

Science Conference Proceedings (OSTI)

Numerical simulations based on a three-dimensional model for the electric fields in a thunderstorm are presented. In some of the simulations, we solve problems with known analytical solutions in order to determine the relevant physical properties ...

William W. Hager; John S. Nisbet; John R. Kasha; Wei-Chang Shann

1989-12-01T23:59:59.000Z

289

Simulating control of the ankle joint  

E-Print Network (OSTI)

Computing environments such as Matlab that are conventionally used to simulate dynamics of rigid body systems can be used to model interactions between the system and its environment. However, creating these simulations ...

Vasquez, Rebecca (Rebecca Ann)

2012-01-01T23:59:59.000Z

290

A Web-Based Virtual Lighting Simulator  

NLE Websites -- All DOE Office Websites (Extended Search)

A Web-Based Virtual Lighting Simulator Title A Web-Based Virtual Lighting Simulator Publication Type Conference Paper LBNL Report Number LBNL-51065 Year of Publication 2002 Authors...

291

Using Simulation Models for Building Commissioning  

E-Print Network (OSTI)

The International Energy Agency ECBCS Annex 40 Commissioning of Buildings and HVAC Systems for Improved Energy Performance task investigating Use of Whole Building Simulation in Commissioning has identified the following applications of whole simulation in the commissioning process: 1) during the design process; 2) in post-construction commissioning of new buildings; 3) design simulation for ongoing commissioning; 4) calibrated simulation for retro commissioning; 5) calibrated simulation for on-going commissioning; and 6) simulation to evaluate new control code. These applications are discussed and examples of each of these applications are provided. The only one of these which has been applied in routine commissioning projects is the use of calibrated simulation for retro commissioning. The other examples have been applied in a research setting, and costs must be lowered for routine application, but there appears to be potential for significant application of simulation in the commissioning process.

Claridge, D. E.

2004-01-01T23:59:59.000Z

292

A Functional Simulator of Spacecraft Resources  

Science Conference Proceedings (OSTI)

The SPAcecraft SIMulator (SPASIM) simulates the functions and resources of a spacecraft to quickly perform Phase A trade-off analyses and uncover any operational bottlenecks during any part of the mission. Failure modes and operational contingencies ...

Liceaga Carlos A.; Troutman Patrick A.

1997-04-01T23:59:59.000Z

293

Behavioral simulations in MapReduce  

Science Conference Proceedings (OSTI)

In many scientific domains, researchers are turning to large-scale behavioral simulations to better understand real-world phenomena. While there has been a great deal of work on simulation tools from the high-performance computing community, behavioral ...

Guozhang Wang; Marcos Vaz Salles; Benjamin Sowell; Xun Wang; Tuan Cao; Alan Demers; Johannes Gehrke; Walker White

2010-09-01T23:59:59.000Z

294

Computer simulation of neutron capture therapy.  

E-Print Network (OSTI)

Analytical methods are developed to simulate on a large digital computer the production and use of reactor neutron beams f or boron capture therapy of brain tumors. The simulation accounts for radiation dose distributions ...

Olson, Arne Peter

1967-01-01T23:59:59.000Z

295

IMPACT simulation and the SNS linac beam  

E-Print Network (OSTI)

dynamics studies of the SNS linac systems were performedIMPACT SIMULATION AND THE SNS LINAC BEAM * Y. Zhang 1 , J.tracking simulations for the SNS linac beam dynamics studies

Zhang, Y.

2009-01-01T23:59:59.000Z

296

Computer Simulations of Protein Dynamics and Thermodynamics  

Science Conference Proceedings (OSTI)

The computational challenges of producing realistic biomedical simulations are reviewed. Techniques for applying classical mechanics simulation methods to proteins and ways to solve Newton's equations are discussed. Two recent applications of these methods ...

David Case

1993-10-01T23:59:59.000Z

297

Proceedings of the 2009 Spring Simulation Multiconference  

Science Conference Proceedings (OSTI)

Welcome to the 2009 Spring Simulation Multiconference (SpringSim'09), in beautiful San Diego! SpringSim 2009 --- sponsored by The Society for Modeling and Simulation International (SCS), in collaboration with ACM/SIGSIM, brings together various Symposia, ...

Gabriel Wainer; Cliff Shaffer; Robert McGraw; Michael J. Chinni

2009-03-01T23:59:59.000Z

298

THERM 2.1 NFRC simulation manual  

E-Print Network (OSTI)

Heat Transfer Code Users Manual and Thermal Property DataTHERM 2.1 NFRC Simulation Manual JULY 2000 4. SUMMARY OFTHERM 2.1 NFRC Simulation Manual JULY 2000 9.5 Problem 4:

2000-01-01T23:59:59.000Z

299

Simulation of composite I/O automata  

E-Print Network (OSTI)

The IOA simulator is a tool that has been developed in the Theory of Distributed Systems group at MIT. This tool simulates the execution of automata described by the IOA language. It generates logs of execution traces and ...

Solovey, Edward, 1979-

2003-01-01T23:59:59.000Z

300

Simulation of timed input/output automata  

E-Print Network (OSTI)

This Master of Engineering Thesis describes the design, implementation, and usage of the TIOA Simulator. The TIOA Simulator, along with the other components of the TIOA Toolset aims to provide a framework for developing ...

Mavrommatis, Panayiotis P

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Sensitivity of Simulated Climate to Model Resolution  

Science Conference Proceedings (OSTI)

Dynamical measures of the climate (e.g., winds, eddy fluxes) simulated by a general circulation model are compared at different horizontal and vertical resolutions for the December, January, and February period. The simulations of the troposphere ...

Byron A. Boville

1991-05-01T23:59:59.000Z

302

Large Scale Simulation of Particulate Flows  

Science Conference Proceedings (OSTI)

Simulations of particles in fluid flows are of great interest to numerous industries using sedimentation, fluidization, lubricated transport, and hydraulic fracturing of hydrocarbon reservoirs. Simulating incompressible viscoelastic flows with millions ...

Ahmed H. Sameh; Vivek Sarin

1999-04-01T23:59:59.000Z

303

FAST Simulation of Seismic Wind Turbine Response  

DOE Green Energy (OSTI)

This paper discusses recent additions to the computer simulation code FAST that allow a user to consider seismic loads.

Prowell, I.; Elgamal, A.; Jonkman, J.

2010-03-01T23:59:59.000Z

304

Numerical Simulation of Thermomechanical Processes Coupled ...  

Science Conference Proceedings (OSTI)

Atomistic Simulation Studies of Materials Interfaces: Recent Insights and .... Thermochemical Models and Phase Equilibria of Urania Rare Earth Fluorite Phases.

305

Complete Automation and Distribution of Parallel Simulation ...  

Science Conference Proceedings (OSTI)

... materials science, many problems require the execution of numerous parallel simulation tasks on High Performance Computing (HPC) resources. ...

2013-07-18T23:59:59.000Z

306

Beyond Quantum Simulation: JILA Physicists Create 'Crystal' ...  

Science Conference Proceedings (OSTI)

... Illustration of the interaction energies between ultracold ... Darker colors indicate higher interaction energy. ... simulators, which typically use atoms. ...

2013-09-18T23:59:59.000Z

307

Method for simulating discontinuous physical systems - Energy ...  

The mathematical foundations of conventional numerical simulation of physical systems provide no consistent ... Energy Innovation Portal ... Property Management and ...

308

Nuclear lattice simulations: Status and perspectives  

E-Print Network (OSTI)

I review the present status of nuclear lattice simulations. This talk is dedicated to the memory of Gerald E. Brown.

Meiner, Ulf-G

2013-01-01T23:59:59.000Z

309

Modeling, Simulation, Ceramics, and Chemical Processing  

Science Conference Proceedings (OSTI)

Mar 3, 2011 ... Typical applications include aerospace, robotic manipulators, motion simulators, injection molding, CNC machines and material testing...

310

SLUDGE BATCH 6/TANK 40 SIMULANT CHEMICAL PROCESS CELL SIMULATIONS  

SciTech Connect

Phase III simulant flowsheet testing was completed using the latest composition estimates for SB6/Tank 40 feed to DWPF. The goals of the testing were to determine reasonable operating conditions and assumptions for the startup of SB6 processing in the DWPF. Testing covered the region from 102-159% of the current DWPF stoichiometric acid equation. Nitrite ion concentration was reduced to 90 mg/kg in the SRAT product of the lowest acid run. The 159% acid run reached 60% of the DWPF Sludge Receipt and Adjustment Tank (SRAT) limit of 0.65 lb H2/hr, and then sporadically exceeded the DWPF Slurry Mix Evaporator (SME) limit of 0.223 lb H2/hr. Hydrogen generation rates peaked at 112% of the SME limit, but higher than targeted wt% total solids levels may have been partially responsible for rates seen. A stoichiometric factor of 120% met both objectives. A processing window for SB6 exists from 102% to something close to 159% based on the simulant results. An initial recommendation for SB6 processing is at 115-120% of the current DWPF stoichiometric acid equation. The addition of simulated Actinide Removal Process (ARP) and Modular Caustic Side Solvent Extraction Unit (MCU) streams to the SRAT cycle had no apparent impact on the preferred stoichiometric factor. Hydrogen generation occurred continuously after acid addition in three of the four tests. The three runs at 120%, 118.4% with ARP/MCU, and 159% stoichiometry were all still producing around 0.1 lb hydrogen/hr at DWPF scale after 36 hours of boiling in the SRAT. The 120% acid run reached 23% of the SRAT limit and 37% of the SME limit. Conversely, nitrous oxide generation was subdued compared to previous sludge batches, staying below 29 lb/hr in all four tests or about a fourth as much as in comparable SB4 testing. Two processing issues, identified during SB6 Phase II flowsheet testing and qualification simulant testing, were monitored during Phase III. Mercury material balance closure was impacted by acid stoichiometry, and significant mercury was not accounted for in the highest acid run. Coalescence of elemental mercury droplets in the mercury water wash tank (MWWT) appeared to degrade with increasing stoichiometry. Observations were made of mercury scale formation in the SRAT condenser and MWWT. A tacky mercury amalgam with Rh, Pd, and Cu, plus some Ru and Ca formed on the impeller at 159% acid. It contained a significant fraction of the available Pd, Cu, and Rh as well as about 25% of the total mercury charged. Free (elemental) mercury was found in all of the SME products. Ammonia scrubbers were used during the tests to capture off-gas ammonia for material balance purposes. Significant ammonium ion formation was again observed during the SRAT cycle, and ammonia gas entered the off-gas as the pH rose during boiling. Ammonium ion production was lower than in the SB6 Phase II and the qualification simulant testing. Similar ammonium ion formation was seen in the ARP/MCU simulation as in the 120% flowsheet run. A slightly higher pH caused most of the ammonium to vaporize and collect in the ammonia scrubber reflux solution. Two periods of foaminess were noted. Neither required additional antifoam to control the foam growth. A steady foam layer formed during reflux in the 120% acid run. It was about an inch thick, but was 2-3 times more volume of bubbles than is typically seen during reflux. A similar foam layer also was seen during caustic boiling of the simulant during the ARP addition. While frequently seen with the radioactive sludge, foaminess during caustic boiling with simulants has been relatively rare. Two further flowsheet tests were performed and will be documented separately. One test was to evaluate the impact of process conditions that match current DWPF operation (lower rates). The second test was to evaluate the impact of SRAT/SME processing on the rheology of a modified Phase III simulant that had been made five times more viscous using ultrasonication.

Koopman, David

2010-04-28T23:59:59.000Z

311

Toward Optimizing Particle-Simulation Systems  

Science Conference Proceedings (OSTI)

Optimized event-driven particle collision simulation is on demand to study the behavior of systems consisted of moving objects. This paper discusses the design and implementation issues of such simulation systems with various optimizations such as discrete ... Keywords: Particle collision, event-driven simulation, lazy determination

Hai Jiang; Hung-Chi Su; Bin Zhang

2007-05-01T23:59:59.000Z

312

Cognitive simulators for medical education and training  

Science Conference Proceedings (OSTI)

Simulators for honing procedural skills (such as surgical skills and central venous catheter placement) have proven to be valuable tools for medical educators and students. While such simulations represent an effective paradigm in surgical education, ... Keywords: Cognitive training, Decision making, Medical education and training, Multitasking, Simulation

Kanav Kahol; Mithra Vankipuram; Marshall L. Smith

2009-08-01T23:59:59.000Z

313

A new algorithm for gas network simulation  

Science Conference Proceedings (OSTI)

The simulation of natural gas networks has a growing importance for operators of networks. In this paper a new simulation algorithm based on the node potential analysis is presented. The approach is to evaluate analogies between electrical circuits and ... Keywords: algorithms, gas, modeling, networks, nonlinearities, simulation

Jens Rdiger; Jurij Schiebelbein; Rainhart Lunderstdt; Joachim Horn

2006-02-01T23:59:59.000Z

314

Simulation models for photogate active pixel sensor  

Science Conference Proceedings (OSTI)

The constant reduction in the transistors sizes for the design and the integration of smart sensors on chip requires accurate simulations of electrical characteristics. To this end, new simulation models of photogate active pixel sensor for CMOS imagers ... Keywords: modelling and simulation, optoelectronic devices, photogate active pixel sensor

B. Casadei; C. Dufaza; L. Martin

2005-07-01T23:59:59.000Z

315

Confronting global issues: a multipurpose IR simulation  

Science Conference Proceedings (OSTI)

This article describes an international relations simulation that focuses on threats of transnational insurgent organizations, the future of the Iraqi regime, and the effect of globalization on foreign policies. It contains both the Simulation Director's ... Keywords: Iraq, foreign policy, globalization, international conflict, international relations simulations, negotiation, terrorism

Stephen M. Shellman; Krsad Turan

2006-03-01T23:59:59.000Z

316

Numeric simulation of faults in electrical networks  

Science Conference Proceedings (OSTI)

In the paper is presented a virtual simulator for three-phased medium voltage electric circuits. The simulator allows analyzing transient regimes caused by the faults produced in electric distribution networks (simple grounding, double grounding, broken ... Keywords: faults in electric network, numerical simulation, three phased circuits, transient regimes

Toader Dumitru; Haragus Stefan; Blaj Constantin

2009-03-01T23:59:59.000Z

317

Participatory, embodied, multi-agent simulation  

Science Conference Proceedings (OSTI)

We will demonstrate the integration of a software-based multi-agent modeling platform with a participatory simulation environment and real-time control over a physical agent (robot). Both real and virtual participants will be able to act as agents in ... Keywords: embedded agents, multi-agent simulation, participatory simulation, robotics, sensors

Paulo Blikstein; William Rand; Uri Wilensky

2006-05-01T23:59:59.000Z

318

Advanced reservoir simulation using soft computing  

Science Conference Proceedings (OSTI)

Reservoir simulation is a challenging problem for the oil and gas industry. A correctly calibrated reservoir simulator provides an effective tool for reservoir evaluation that can be used to obtain essential reservoir information. A long-standing problem ... Keywords: fuzzy control, history matching, parallel processing, reservoir simulation

G. Janoski; F.-S. Li; M. Pietrzyk; A. H. Sung; S.-H. Chang; R. B. Grigg

2000-06-01T23:59:59.000Z

319

Molecular Simulation of Nanofluids Mark J. Biggs  

E-Print Network (OSTI)

Molecular Simulation of Nanofluids Mark J. Biggs School of Chemical Engineering, The University. As the molecules and interactions between them are explicitly modelled in these `molecular simulations', they may the volumes and timescales accessible to molecular simulation are small on the macroscale, they are ideally

Adler, Joan

320

THERM 5 / WINDOW 5 NFRC simulation manual  

E-Print Network (OSTI)

2003 T H E R M 5 / W I N D O W 5 N F R C Simulation ManualO W 5 N F R C Simulation Manual June 2003 Contents 5.4 SolarD O W 5 N F R C Simulation Manual June 2003 Contents 8.2.3.

Mitchell, Robin; Kohler, Christian; Arasteh, Dariush; Carmody, John; Huizenga, Charlie; Curcija, Dragan

2003-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

LES algorithm for turbulent reactive flows simulation  

Science Conference Proceedings (OSTI)

The paper presents the development and implementation of a Large Eddy Simulation numerical algorithm for simulating turbulent reactive flows. The numerical algorithm is based on a 5 step modified Runge - Kutta numerical scheme with a dual time stepping ... Keywords: Runge - Kutta numerical scheme, large eddy simulation, linear eddy model

Ionut Porumbel; Cristian Crl?nescu; Florin Gabriel Florean; Constantin Eusebiu Hritcu

2010-10-01T23:59:59.000Z

322

Computer Simulation of Scale Formation  

DOE Green Energy (OSTI)

This paper summarizes results of recent analyses performed by Battelle-Northwest in EPRI project RP 653-3: Computer Simulation of Scaling in Geothermal Systems. The results reported here are drawn primarily from case evaluations performed over the 12 months since the preceding EPRI Geothermal Symposium held in Monterey in June 1979. The present project is a continuation of a previous project designated RP 653-1. The ultimate objective of research performed in this project is to develop analytical tools (computer codes) and the supporting thermophysical and chemical data base that can be used to predict scaling and corrosion in geothermal power generating systems.

Lessor, D.L.; Kreid, D.K.

1980-12-01T23:59:59.000Z

323

Lighting Design By Simulated Annealing  

E-Print Network (OSTI)

In this paper, we present a lighting design framework for glossy real objects, starting from the reflectance field of an object. Using existing digital imaging software, the lighting designer paints the desired illumination distribution on a photograph of an object. This painted-on illumination is used to determine the light intensities which produce a shading of the real object matching the desired illumination distribution. Certain areas in the painted image can be favored among others by weighting their importance in the optimization algorithm. Our optimization algorithm is driven by a simulated annealing approach to find fixed-sized lighting combinations and accompagnying intensities.

F. Anrys; P. Dutr

2004-01-01T23:59:59.000Z

324

Autonomie Automotive Simulation Tool | Open Energy Information  

Open Energy Info (EERE)

Autonomie Automotive Simulation Tool Autonomie Automotive Simulation Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Autonomie Automotive Simulation Tool Agency/Company /Organization: Argonne National Laboratory Focus Area: Economic Development, Vehicles Phase: Create a Vision Topics: Pathways analysis Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.transportation.anl.gov/modeling_simulation/PSAT/autonomie.html OpenEI Keyword(s): Energy Efficiency and Renewable Energy (EERE) Tools Language: English References: Autonomie[1] Rapidly evaluate new powertrain and propulsion technologies for improving fuel economy through virtual design and analysis in a math-based simulation environment. Argonne has developed a new tool, called Autonomie, to accelerate the

325

Advanced Simulation Capability for Environmental Management (ASCEM) |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Advanced Simulation Capability for Environmental Management (ASCEM) Advanced Simulation Capability for Environmental Management (ASCEM) Advanced Simulation Capability for Environmental Management (ASCEM) Advanced Simulation Capability for Environmental Management (ASCEM) ASCEM is being developed to provide a tool and approach to facilitate robust and standardized development of performance and risk assessments for cleanup and closure activities throughout the EM complex. The ASCEM team is composed of scientists from eight National Laboratories. This team is leveraging Department of Energy (DOE) investments in basic science and applied research including high performance computing codes developed through the Advanced Scientific Computing Research and Advanced Simulation & Computing programs as well as collaborating with the Offices of Science,

326

Advanced Modeling & Simulation | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Advanced Modeling & Simulation Advanced Modeling & Simulation Advanced Modeling & Simulation Advanced Modeling & Simulation ADVANCING THE STATE OF THE ART Innovation advances science. Historically, innovation resulted almost exclusively from fundamental theories combined with observation and experimentation over time. With advancements in engineering, computing power and visualization tools, scientists from all disciplines are gaining insights into physical systems in ways not possible with traditional approaches alone. Modeling and simulation has a long history with researchers and scientists exploring nuclear energy technologies. In fact, the existing fleet of currently operating reactors was licensed with computational tools that were produced or initiated in the 1970s. Researchers and scientists in

327

Phase-Field Simulations of Elastic and Plastic Properties of ...  

Science Conference Proceedings (OSTI)

Cyber-Enabled Ab Initio Simulations in Nanohub.org: Simulation Tools and Learning Modules Cyber-Enabled Materials Simulations Via Nanohub.org.

328

Building Technologies Office: EnergyPlus Energy Simulation Software  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Account Sign In EnergyPlus Energy Simulation Software Search Search Help EnergyPlus Energy Simulation Software EERE Building Technologies Office EnergyPlus Energy Simulation...

329

Simulated nuclear reactor fuel assembly  

DOE Patents (OSTI)

An apparatus for electrically simulating a nuclear reactor fuel assembly. It includes a heater assembly having a top end and a bottom end and a plurality of concentric heater tubes having electrical circuitry connected to a power source, and radially spaced from each other. An outer target tube and an inner target tube is concentric with the heater tubes and with each other, and the outer target tube surrounds and is radially spaced from the heater tubes. The inner target tube is surrounded by and radially spaced from the heater tubes and outer target tube. The top of the assembly is generally open to allow for the electrical power connection to the heater tubes, and the bottom of the assembly includes means for completing the electrical circuitry in the heater tubes to provide electrical resistance heating to simulate the power profile in a nuclear reactor. The embedded conductor elements in each heater tube is split into two halves for a substantial portion of its length and provided with electrical isolation such that each half of the conductor is joined at one end and is not joined at the other end.

Berta, Victor T. (Idaho Falls, ID)

1993-01-01T23:59:59.000Z

330

Multiphysics simulations: challenges and opportunities.  

SciTech Connect

This report is an outcome of the workshop Multiphysics Simulations: Challenges and Opportunities, sponsored by the Institute of Computing in Science (ICiS). Additional information about the workshop, including relevant reading and presentations on multiphysics issues in applications, algorithms, and software, is available via https://sites.google.com/site/icismultiphysics2011/. We consider multiphysics applications from algorithmic and architectural perspectives, where 'algorithmic' includes both mathematical analysis and computational complexity and 'architectural' includes both software and hardware environments. Many diverse multiphysics applications can be reduced, en route to their computational simulation, to a common algebraic coupling paradigm. Mathematical analysis of multiphysics coupling in this form is not always practical for realistic applications, but model problems representative of applications discussed herein can provide insight. A variety of software frameworks for multiphysics applications have been constructed and refined within disciplinary communities and executed on leading-edge computer systems. We examine several of these, expose some commonalities among them, and attempt to extrapolate best practices to future systems. From our study, we summarize challenges and forecast opportunities. We also initiate a modest suite of test problems encompassing features present in many applications.

Keyes, D.; McInnes, L. C.; Woodward, C.; Gropp, W.; Myra, E.; Pernice, M. (Mathematics and Computer Science); (KAUST and Columbia Univ.); (Lawrence Livermore National Laboratory); (Univ. of Illinois at Urbana-Champaign); (Univ. of Mich.); (Idaho National Lab.)

2012-11-29T23:59:59.000Z

331

RPM-SIM Simulator: A Comparison of Simulated Versus Recorded Data (Preprint)  

Science Conference Proceedings (OSTI)

This paper compares simulated versus recorded data for the RPM-SIM simulator, developed at the National Renewable Energy Laboratory's National Wind Technology Center. The simulator was used to study the system dynamics of a wind/diesel hybrid power system. We also provide information on newly developed simulator modules that will be released. The simulator performed extremely well, demonstrating flexibility in making modifications and including specialized modules required for problem solving. We also outline several possible applications for this tool.

Bialasiewicz, J.T.; Muljadi, E.; Nix, G.; Drouilhet, S.

2001-07-25T23:59:59.000Z

332

XML-based resources for simulation  

SciTech Connect

As simulations and the machines they run on become larger and more complex the inputs and outputs become more unwieldy. Increased complexity makes the setup of simulation problems difficult. It also contributes to the burden of handling and analyzing large amounts of output results. Another problem is that among a class of simulation codes (such as those for physical system simulation) there is often no single standard format or resource for input data. To run the same problem on different simulations requires a different setup for each simulation code. The extensible Markup Language (XML) is used to represent a general set of data resources including physical system problems, materials, and test results. These resources provide a 'plug and play' approach to simulation setup. For example, a particular material for a physical system can be selected from a material database. The XML-based representation of the selected material is then converted to the native format of the simulation being run and plugged into the simulation input file. In this manner a user can quickly and more easily put together a simulation setup. In the case of output data, an XML approach to regression testing includes tests and test results with XML-based representations. This facilitates the ability to query for specific tests and make comparisons between results. Also, output results can easily be converted to other formats for publishing online or on paper.

Kelsey, R. L. (Robert L.); Riese, J. M. (Jane M.); Young, G. A. (Ginger A.)

2004-01-01T23:59:59.000Z

333

Multiphysics Simulations: Challenges and Opportunities  

Science Conference Proceedings (OSTI)

We consider multiphysics applications from algorithmic and architectural perspectives, where "algorithmic" includes both mathematical analysis and computational complexity, and "architectural" includes both software and hardware environments. Many diverse multiphysics applications can be reduced, en route to their computational simulation, to a common algebraic coupling paradigm. Mathematical analysis of multiphysics coupling in this form is not always practical for realistic applications, but model problems representative of applications discussed herein can provide insight. A variety of software frameworks for multiphysics applications have been constructed and refined within disciplinary communities and executed on leading-edge computer systems. We examine several of these, expose some commonalities among them, and attempt to extrapolate best practices to future systems. From our study, we summarize challenges and forecast opportunities.

Michael Pernice

2013-02-01T23:59:59.000Z

334

Simulating Price Responsive Distributed Resources  

SciTech Connect

Distributed energy resources (DER) include distributed generation, storage, and responsive demand. The integration of DER into the power system control framework is part of the evolutinary advances that allow these resources to actively particpate in the energy balance equation. Price can provide a powerful signal for independent decision-making in distributed control strategies. To study the impact of price responsive DER on the electric power system requires generation and load models that can capture the dynamic coupling between the energy market and the physical operation of the power system in appropriate time frames. This paper presents modeling approaches for simulating electricity market price responsive DER, and introduces a statistical mechanics approach to modeling the aggregated response of a transformed electric system of pervasive, transacting DER.

Lu, Ning; Chassin, David P.; Widergren, Steven E.

2004-10-15T23:59:59.000Z

335

Multiphysics Simulations: Challenges and Opportunities  

SciTech Connect

We consider multiphysics applications from algorithmic and architectural perspectives, where algorithmic includes both mathematical analysis and computational complexity, and architectural includes both software and hardware environments. Many diverse multiphysics applications can be reduced, en route to their computational simulation, to a common algebraic coupling paradigm. Mathematical analysis of multiphysics coupling in this form is not always practical for realistic applications, but model problems representative of applications discussed herein can provide insight. A variety of software frameworks for multiphysics applications have been constructed and refined within disciplinary communities and executed on leading-edge computer systems. We examine several of these, expose some commonalities among them, and attempt to extrapolate best practices to future systems. From our study, we summarize challenges and forecast opportunities.

Keyes, David; McInnes, Lois C.; Woodward, Carol; Gropp, William; Myra, Eric; Pernice, Michael; Bell, John; Brown, Jed; Clo, Alain; Connors, Jeffrey; Constantinescu, Emil; Estep, Don; Evans, Kate; Farhat, Charbel; Hakim, Ammar; Hammond, Glenn E.; Hansen, Glen; Hill, Judith; Isaac, Tobin; Jiao, Xiangmin; Jordan, Kirk; Kaushik, Dinesh; Kaxiras, Efthimios; Koniges, Alice; Lee, Ki Hwan; Lott, Aaron; Lu, Qiming; Magerlein, John; Maxwell, Reed M.; McCourt, Michael; Mehl, Miriam; Pawlowski, Roger; Randles, Amanda; Reynolds, Daniel; Riviere, Beatrice; Rude, Ulrich; Scheibe, Timothy D.; Shadid, John; Sheehan, Brendan; Shephard, Mark; Siegel, Andrew; Smith, Barry; Tang, Xianzhu; Wilson, Cian; Wohlmuth, Barbara

2013-02-12T23:59:59.000Z

336

Assessment of Molecular Modeling & Simulation  

Science Conference Proceedings (OSTI)

This report reviews the development and applications of molecular and materials modeling in Europe and Japan in comparison to those in the United States. Topics covered include computational quantum chemistry, molecular simulations by molecular dynamics and Monte Carlo methods, mesoscale modeling of material domains, molecular-structure/macroscale property correlations like QSARs and QSPRs, and related information technologies like informatics and special-purpose molecular-modeling computers. The panel's findings include the following: The United States leads this field in many scientific areas. However, Canada has particular strengths in DFT methods and homogeneous catalysis; Europe in heterogeneous catalysis, mesoscale, and materials modeling; and Japan in materials modeling and special-purpose computing. Major government-industry initiatives are underway in Europe and Japan, notably in multi-scale materials modeling and in development of chemistry-capable ab-initio molecular dynamics codes.

None

2002-01-03T23:59:59.000Z

337

Benchmarking ICRF simulations for ITER  

DOE Green Energy (OSTI)

Abstract Benchmarking of full-wave solvers for ICRF simulations is performed using plasma profiles and equilibria obtained from integrated self-consistent modeling predictions of four ITER plasmas. One is for a high performance baseline (5.3 T, 15 MA) DT H-mode plasma. The others are for half-field, half-current plasmas of interest for the pre-activation phase with bulk plasma ion species being either hydrogen or He4. The predicted profiles are used by seven groups to predict the ICRF electromagnetic fields and heating profiles. Approximate agreement is achieved for the predicted heating power partitions for the DT and He4 cases. Profiles of the heating powers and electromagnetic fields are compared.

R. V. Budny, L. Berry, R. Bilato, P. Bonoli, M. Brambilla, R.J. Dumont, A. Fukuyama, R. Harvey, E.F. Jaeger, E. Lerche, C.K. Phillips, V. Vdovin, J. Wright, and members of the ITPA-IOS

2010-09-28T23:59:59.000Z

338

Simulating a Nationally Representative Housing Sample Using EnergyPlus  

E-Print Network (OSTI)

home; our simulations attempt to reproduce this equipment. On the heating side, we simulate electric, gas, or oil

Hopkins, Asa S.

2011-01-01T23:59:59.000Z

339

A Modeling Tool for the Precipitation Simulations of Superalloys ...  

Science Conference Proceedings (OSTI)

simulate the complicated precipitations and microstructure .... The kinetic simulation employs three models to treat three ..... Thermochemistry 26, 175 (

340

Yankee Rowe simulator core model validation  

Science Conference Proceedings (OSTI)

This paper presents the validation of the Yankee Rowe simulator core model. Link-Miles Simulation Corporation is developing the Yankee Rowe simulator and Yankee Atomic Electric Company is involved in input and benchmark data generation, as well as simulator validation. Core model validation by Yankee comprises three tasks: (1) careful generation of fuel reactivity characteristics (B constants); (2) nonintegrated core model testing; and (3) fully integrated core model testing. Simulator core model validation and verification is a multistage process involving input and benchmark data generation as well as interactive debugging. Core characteristics were brought within acceptable criteria by this process. This process was achieved through constant communication between Link-Miles and Yankee engineers. Based on this validation, the Yankee Rowe simulator core model is found to be acceptable for training purposes.

Napolitano, M.E.

1990-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Intelligent interface for design and simulation  

Science Conference Proceedings (OSTI)

We are developing a system composed of intelligent interfaces, expert systems, and databases that uses artificial intelligence techniques to simplify the use of large simulation codes and to help design complicated physical devices. The simulation codes are used in analyzing and designing weapons, and the devices are themselves parts of weapon systems. From a designer's point of view, the simulation process is the same no matter what is being simulated. In the course of developing two intelligent interfaces for the design of nuclear weapons, we have found that data-driven programming is a useful technique for implementing an open-ended user interface to assist the designer. We discuss the simulation process as it is done now and as it could be done with intelligent interfaces. We then discuss the use of data-driven programming in a database environment to support an interface for an arbitrary number of simulation codes. 3 figs.

Draisin, W.; Peter, E.

1986-01-01T23:59:59.000Z

342

Multi-Agent Simulation Using SWARM  

E-Print Network (OSTI)

The field of social simulation and agent base simulation modelling techniques is growing. With it grows the need for simulation tools. A way to reduce the effort of software development is to utilize generlized agent developmet tools. Today there exists tools that are based on the object oriented paradigm that provide libraries and graphical wizards. In this paper we introduce the Swarm tool. It was developed at the Santa Fe Institute. It is an agent simulation tool designed to help researchers in building multi-agent simulation models. It also offers a useful graphical representation of the simulation results. A brief overview of the steps to build agent based models is also represented. 1.

Course Name Agent-based; Ibrahim Jadalowen

2003-01-01T23:59:59.000Z

343

International symposium on fuel rod simulators: development and application  

SciTech Connect

Separate abstracts are included for each of the papers presented concerning fuel rod simulator operation and performance; simulator design and evaluation; clad heated fuel rod simulators and fuel rod simulators for cladding investigations; fuel rod simulator components and inspection; and simulator analytical modeling. Ten papers have previously been input to the Energy Data Base.

McCulloch, R.W. (comp.)

1981-05-01T23:59:59.000Z

344

Optical Simulation for V0A  

Science Conference Proceedings (OSTI)

The V0A detector is one of the forward detectors that will be used for trigger in the ALICE experiment at CERN. Simulation results of the optical response of the V0A elements are presented in this work. The simulations are based on the LITRANI package. The simulation results guarantee a flat response of the whole detector as well as within each cell of the array.

Perez Lara, Carlos; Gago Medina, Alberto [Pontificia Universidad Catolica del Peru, Departamento de Ciencias, Seccion Fisica (Peru); Herrera Corral, Gerardo [Centro de Investigacion y de Estudios Avanzados: Departamento de Fisica (Peru)

2006-09-25T23:59:59.000Z

345

Molecular simulation of adsorbed natural gas  

SciTech Connect

Absorbed natural gas is being investigated as a substitute for gasoline., The most important factor in engineering studies is the maximum storage capacity of adsorbents for natural gas. Monte Carlo calculations were performed to simulate the adsorption of natural gas on activated carbon. Adsorption isotherms, storage capacities, and isoteric heats were determined from simulations and compared with experimental data. Simulations predict a maximum storage capacity of 244 V/V at 35 atm.

Matranga, K.R.; Stella, A.; Myers, A.L.; Glandt, E.D. (Univ. of Pennsylvania, Philadelphia (United States))

1992-11-01T23:59:59.000Z

346

Explosive simulants for testing explosive detection systems  

DOE Patents (OSTI)

Explosives simulants that include non-explosive components are disclosed that facilitate testing of equipment designed to remotely detect explosives. The simulants are non-explosive, non-hazardous materials that can be safely handled without any significant precautions. The simulants imitate real explosives in terms of mass density, effective atomic number, x-ray transmission properties, and physical form, including moldable plastics and emulsions/gels.

Kury, John W. (Danville, CA); Anderson, Brian L. (Lodi, CA)

1999-09-28T23:59:59.000Z

347

Simulation and design of solar thermal processes  

DOE Green Energy (OSTI)

Research on simulation using TRNSYS and FCHART methods is described including systems analysis, user services, design procedures, and model validation. (MHR)

Not Available

1979-10-31T23:59:59.000Z

348

Development and Demonstration of Ultrafiltration Simulants  

SciTech Connect

According to Bechtel National, Inc. (BNI) Test Specification 24590-PTF-TSP-RT-06-006, Rev 0, Simulant Development to Support the Development and Demonstration of Leaching and Ultrafiltration Pretreatment Processes, simulants for boehmite, gibbsite, and filtration are to be developed that can be used in subsequent bench and integrated testing of the leaching/filtration processes for the waste treatment plant (WTP). These simulants will then be used to demonstrate the leaching process and to help refine processing conditions which may impact safety basis considerations (Smith 2006). This report documents the results of the filtration simulant development.

Russell, Renee L.; Billing, Justin M.; Peterson, Reid A.; Rinehart, Donald E.; Smith, Harry D.

2009-02-24T23:59:59.000Z

349

Building Technologies Office: House Simulation Protocols Report  

NLE Websites -- All DOE Office Websites (Extended Search)

Protocols Report This image shows a cover of a report titled "Building America House Simulation Protocols." The Building America logo is shown in the lower left corner of...

350

VISUALIZATION: Animations from Simulations Using the ... - TMS  

Science Conference Proceedings (OSTI)

Apr 27, 2007 ... This web resource from Christophe Martin of the GPM2 Laboratory provides a simulation of the compaction and sintering of particulate...

351

Modeling and Simulation Applied to Metals Processing  

Science Conference Proceedings (OSTI)

This symposium will provide an overview of various fundamental materials ... modeling and simulation area they have detailed in the handbooks and the latest ...

352

Posters Comparison Between General Circulation Model Simulation...  

NLE Websites -- All DOE Office Websites (Extended Search)

triangulation interpolation. For the GCM simulation, the monthly mean surface latent heat flux is sampled at the grid points closest to the buoy sites, then interpolated the...

353

Sandia National Laboratories: Advanced Simulation and Computing...  

NLE Websites -- All DOE Office Websites (Extended Search)

tools for innovative product engineering. Engineering Physics Integrated Codes Sierra Mechanics Sierra is Sandia's engineering mechanics simulation code suite. This suite includes...

354

Materials Theory, Modeling and Simulation | ORNL  

NLE Websites -- All DOE Office Websites (Extended Search)

Functional Materials for Energy Chemistry and Physics at Interfaces Materials Synthesis from Atoms to Systems Materials Characterization Materials Theory and Simulation Quantum...

355

The Operational Risk Simulation Model (ORSIM)  

Science Conference Proceedings (OSTI)

The Operational Risk Simulation Model (ORSIM) permits power plant owners to understand the implications of new operational policies and unanticipated demands on the organization.

2006-03-30T23:59:59.000Z

356

Modelica-based Modeling and Simulation  

NLE Websites -- All DOE Office Websites (Extended Search)

LBNL-5065E Co-Simulation of Building Energy and Control Systems with the Building Controls Virtual Test Bed Michael Wetter Environmental Energy Technologies Division September...

357

Coal bed methane reservoir simulation studies.  

E-Print Network (OSTI)

??The purpose of this study is to perform simulation studies for a specific coal bed methane reservoir. First, the theory and reservoir engineering aspects of (more)

Karimi, Kaveh

2005-01-01T23:59:59.000Z

358

Simulation tool for P25 ISSI protocols  

Science Conference Proceedings (OSTI)

... be used to simulate networks containing many RFSSs and several hundred Subscriber Units (SUs) generating both talk group calls and unit to unit ...

2011-10-17T23:59:59.000Z

359

MHK Reference Model: Relevance to Computer Simulation  

NLE Websites -- All DOE Office Websites (Extended Search)

July 9 th , 2012 SAND Number: 2012-5508P MHK Reference Model: Relevance to Computer Simulation Reference Model Partners Oregon State University NNMREC University of...

360

DL_POLY Molecular Simulation Package  

Science Conference Proceedings (OSTI)

Jan 8, 2008 ... DL_POLY is a general purpose serial and parallel molecular dynamics simulation package developed at Daresbury Laboratory by W. Smith,...

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

CFD Modeling and Simulation in Materials Processing  

Science Conference Proceedings (OSTI)

Jul 31, 2011 ... A Coupled CFD-Thermodynamic-Kinetic Model to Simulate a Gas Stirred ... on Thermal and Thermosolutal Natural Convection in Liquid Alloys.

362

Nuclear Systems Modeling, Simulation & Validation | Nuclear Science...  

NLE Websites -- All DOE Office Websites (Extended Search)

Research Areas Fuel Cycle Science & Technology Fusion Nuclear Science Isotope Development and Production Nuclear Security Science & Technology Nuclear Systems Modeling, Simulation...

363

New Aerodynamics Simulations Provide Better Understanding of...  

NLE Websites -- All DOE Office Websites (Extended Search)

lates the region within and immediately surrounding the wind plant, with a mesoscale weather forecasting tool that simulates the weather on a scale of a few hundred kilometers...

364

Development and Characterization of Boehmite Component Simulant  

SciTech Connect

According to Bechtel National Inc.s (BNIs) Test Specification 24590-PTF-TSP-RT-06-006, Rev 0, Simulant Development to Support the Development and Demonstration of Leaching and Ultrafiltration Pretreatment Processes, simulants for boehmite, gibbsite, and filtration are to be developed that can be used in subsequent bench and integrated testing of the leaching/filtration processes. These simulants will then be used to demonstrate the leaching process and to help refine processing conditions that may impact safety basis considerations (Smith 2006). This report documents the results of the boehmite simulant development.

Russell, Renee L.; Peterson, Reid A.; Smith, Harry D.; Rinehart, Donald E.; Aker, Pamela M.; Buck, Edgar C.

2009-03-10T23:59:59.000Z

365

Bay Area Simulation and Ramp Metering Study  

E-Print Network (OSTI)

and testing new ramp metering strategies, ranging fromArea Simulation and Ramp Metering Study Initial Projectfor Evaluating Ramp Metering Algorithm, University of

Gardes, Yonnel; May, Adolf D.; Dahlgren, Joy; Skarbardonis, Alex

2002-01-01T23:59:59.000Z

366

Modeling and Simulation Tools for Emergency Management ...  

Science Conference Proceedings (OSTI)

... ANL-Models Span the Deployment Spectrum and can be Used in ... modeling and simulation results in a ... constructing and running agent-based ...

367

Nuclear Systems Modeling, Simulation & Validation | ORNL  

NLE Websites -- All DOE Office Websites (Extended Search)

from single processors to the world's largest supercomputers. The DOE Nuclear Energy Hub (CASL, the Consortium for Advanced Simulation of Light Water Reactors) is a prominent...

368

Nuclear Systems Modeling & Simulation | More Science | ORNL  

NLE Websites -- All DOE Office Websites (Extended Search)

from single processors to the world's largest supercomputers. The DOE Nuclear Energy Hub (CASL, the Consortium for Advanced Simulation of Light Water Reactors) is a prominent...

369

Comparison of In-Canopy Flux Footprints between Large-Eddy Simulation and the Lagrangian Simulation  

Science Conference Proceedings (OSTI)

Flux footprints for neutral shear-driven canopy flows are evaluated using large-eddy simulation (LES) and a Lagrangian stochastic (LS) model. The Lagrangian stochastic model is driven by flow statistics derived from the large-eddy simulation. LES ...

T. V. Prabha; M. Y. Leclerc; D. Baldocchi

2008-08-01T23:59:59.000Z

370

Simulation for emergency response: a framework for modeling and simulation for emergency response  

Science Conference Proceedings (OSTI)

A number of modeling and simulation tools have been developed and more are being developed for emergency response applications. The available simulation tools are meant mostly for standalone use. Addressing an emergency incident requires addressing multiple ...

Sanjay Jain; Charles McLean

2003-12-01T23:59:59.000Z

371

MIT Device Simulation WebLab : an online simulator for microelectronic devices  

E-Print Network (OSTI)

In the field of microelectronics, a device simulator is an important engineering tool with tremendous educational value. With a device simulator, a student can examine the characteristics of a microelectronic device described ...

Solis, Adrian (Adrian Orbita)

2005-01-01T23:59:59.000Z

372

Future of the simulation industry, panel: the future of the simulation industry  

Science Conference Proceedings (OSTI)

Seven panelists representing a wide area of simulation interest address the future of the simulation industry. The panelists raise a host of issues. But, they also offer solutions addressing the issues that they raise.

Jerry Banks; Joseph C. Hugan; Peter Lendermann; Charles McLean; Ernest H. Page; C. Dennis Pegden; Onur Ulgen; James R. Wilson

2003-12-01T23:59:59.000Z

373

Well simulation using Refrigerant 114  

DOE Green Energy (OSTI)

A simple method for the investigation of thermodynamic (substance) similarity in the two-phase domain is introduced based on the assumptions of a simplified model fluid. According to this method, the investigation of the conditions for thermodynamic similarity between substances in the two-phase region reveals the important role the latent heat of evaporation (h/sub fg/) plays in the definition of the property scales. These greatly influence the dynamic and geometric similarity of the process under investigation. The introduction of the thermodynamic similarity property scales into the energy conservation equations for a certain process (e.g., flow up a geothermal well) brings forth a thermodynamic length scale and kinetic energy scale. Refrigerant 114 has been examined for similarity with water substance according to this method and found to be adequate for geothermal well simulation in the laboratory. Low pressures and temperatures and a substantial reduction of mass flow rates and geometric scales are a few of the advantages of using R114 for such experiments.

Nikitopoulos, D.E.; Dickinson, D.A.; DiPippo, R.; Maeder, P.F.

1984-06-01T23:59:59.000Z

374

Simulating Collisions for Hydrokinetic Turbines  

SciTech Connect

Evaluations of blade-strike on an axial-flow Marine Hydrokinetic turbine were conducted using a conventional methodology as well as an alternative modeling approach proposed in the present document. The proposed methodology integrates the following components into a Computa- tional Fluid Dynamics (CFD) model: (i) advanced eddy-resolving flow simulations, (ii) ambient turbulence based on field data, (iii) moving turbine blades in highly transient flows, and (iv) Lagrangian particles to mimic the potential fish pathways. The sensitivity of blade-strike prob- ability to the following conditions was also evaluated: (i) to the turbulent environment, (ii) to fish size and (iii) to mean stream flow velocity. The proposed methodology provided fraction of collisions and offered the capability of analyzing the causal relationships between the flow envi- ronment and resulting strikes on rotating blades. Overall, the conventional methodology largely overestimates the probability of strike, and lacks the ability to produce potential fish and aquatic biota trajectories as they interact with the rotating turbine. By using a set of experimental corre- lations of exposure-response of living fish colliding on moving blades, the occurrence, frequency and intensity of the particle collisions was next used to calculate the survival rate of fish crossing the MHK turbine. This step indicated survival rates always greater than 98%. Although the proposed CFD framework is computationally more expensive, it provides the advantage of evaluating multiple mechanisms of stress and injury of hydrokinetic turbine devices on fish.

Richmond, Marshall C.; Romero Gomez, Pedro DJ; Rakowski, Cynthia L.

2013-10-01T23:59:59.000Z

375

A coal export simulation model  

SciTech Connect

Uncertainty of future energy supplies has forced industrial nations to diversify both their energy mix and their energy sources of supply. As a result, U.S. coal exports have grown substantially during the past several years. Projected long-term worldwide economic growth suggests that a well-established trend has been set for increased foreign demand for U.S. coal. As export volumes increase the need for careful planning to prevent bottlenecks and to provide for the uninterrupted flow of coal increases. It also will place increased emphasis on identifying the most economic transportation alternatives. These planning and evaluation functions are greatly facilitated if a systematic method is available for modeling the complex interactions of a coal export system. One such model, developed by the Anaconda Minerals Company, is the Coal Export model. This model simulates the movement of coal by transportation equipment (trains, ships, barges, etc.) from an originating mine site to a destination port via an intermediate port facility. Stockpile sizing and the selection of transportation equipment can be optimized with the aid of this model. Also, the impact of various operating policies for ship and train scheduling and for administering stockpiles can be predicted. Evaluating these issues can help to determine the most economic way to move a desired amount of coal from the originating mine site to the destination port.

Bydlon, T.J.; Tyber, H.B.

1982-09-01T23:59:59.000Z

376

Simulations of highly reactive fluids  

SciTech Connect

We report density functional molecular dynamics simulations to determine the early chemical events of hot (T = 3000 K) and dense (1.97 g/cm{sup 3}, V/V{sub 0} = 0.68) nitromethane (CH{sub 3}NO{sub 2}). The first step in the decomposition process is an intermolecular proton abstraction mechanism that leads to the formation of CH{sub 3}NO{sub 2}H and the aci ion H{sub 2}CNO{sub 2}{sup -}, in support of evidence from static high-pressure and shock experiments. An intramolecular hydrogen transfer that transforms nitromethane into the aci acid form, CH{sub 2}NO{sub 2}H, accompanies this event. This is the first confirmation of chemical reactivity with bond selectivity for an energetic material near the condition of fully reacted specimen. We also report the decomposition mechanism followed up to the formation of H{sub 2}O as the first stable product.

Fried, L E; Manaa, M R; Reed, E J

2005-07-21T23:59:59.000Z

377

SIMULATION OF RESIDENTIAL HVAC SYSTEM PERFORMANCE  

E-Print Network (OSTI)

1 LBNL-47622 SIMULATION OF RESIDENTIAL HVAC SYSTEM PERFORMANCE Walker, I., Siegel, J ..................................................... 9 #12;3 ABSTRACT In many parts of North America residential HVAC systems are installed outside of the simulations is that they are dynamic - which accounts for cyclic losses from the HVAC system and the effect

378

Drilling optimization using drilling simulator software  

E-Print Network (OSTI)

Drilling operations management will face hurdles to reduce costs and increase performance, and to do this with less experience and organizational drilling capacity. A technology called Drilling Simulators Software has shown an extraordinary potential to improve the drilling performance and reduce risk and cost. Different approaches have been made to develop drilling-simulator software. The Virtual Experience Simulator, geological drilling logs, and reconstructed lithology are some of the most successful. The drilling simulations can run multiple scenarios quickly and then update plans with new data to improve the results. Its storage capacity for retaining field drilling experience and knowledge add value to the program. This research shows the results of using drilling simulator software called Drilling Optimization Simulator (DROPS) in the evaluation of the Aloctono block, in the Pirital field, eastern Venezuela. This formation is characterized by very complex geology, containing faulted restructures, large dips, and hard and abrasive rocks. The drilling performance in this section has a strong impact in the profitability of the field. A number of simulations using geological drilling logs and the concept of the learning curve defined the optimum drilling parameters for the block. The result shows that DROPS has the capability to simulate the drilling performance of the area with reasonable accuracy. Thus, it is possible to predict the drilling performance using different bits and the learning-curve concept to obtain optimum drilling parameters. All of these allow a comprehensive and effective cost and drilling optimization.

Salas Safe, Jose Gregorio

2003-05-01T23:59:59.000Z

379

Tips for successful practice of simulation  

Science Conference Proceedings (OSTI)

Succeeding with a technology as powerful as simulation involves much more than the technical aspects you may have been trained in. The parts of a simulation study that are outside the realm of modeling and analysis can make or break the project. ...

David T. Sturrock

2008-12-01T23:59:59.000Z

380

Performance Measurement in Simulation-Based Training  

Science Conference Proceedings (OSTI)

Simulation-based training (SBT) is a methodology for providing systematic and structured learning experiences. The effectinvess of this methodology is dependent on the quality of performance measurement practices in place. Performance measurement during ... Keywords: SBT, best practices, causes, corrective feedback, design, diagnosis, diagnostic measurment, effectiveness, feedback, methdologies, performance, performance diagnosis, performance measurement, remediatiopn, simulation-based training, team performance, teams, theoretical foundations

Eduardo Salas; Michael A. Rosen; Janet D. Held; Johnny J. Weissmuller

2009-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

The Jacobian factor in free energy simulations  

Science Conference Proceedings (OSTI)

The role of Jacobian factors in free energy simulations is described. They provide a simple interpretation of moment of inertia correction and dynamic stretch free energy terms in such simulations. Since the relevant Jacobian factors can often be evaluated analytically by use of the configurational partition function of a polyatomic molecule

Stefan Boresch; Martin Karplus

1996-01-01T23:59:59.000Z

382

Domain reduction method for atomistic simulations  

Science Conference Proceedings (OSTI)

In this paper, a quasi-static formulation of the method of multi-scale boundary conditions (MSBCs) is derived and applied to atomistic simulations of carbon nano-structures, namely single graphene sheets and multi-layered graphite. This domain reduction ... Keywords: atomistic simulation, carbon nano-structures, deformable boundary, domain reduction, graphite, multi-scale modeling, nano-indentation

Sergey N. Medyanik; Eduard G. Karpov; Wing Kam Liu

2006-11-01T23:59:59.000Z

383

Proceedings of the 2008 Spring simulation multiconference  

Science Conference Proceedings (OSTI)

On behalf of the Organizing Committee we welcome you to the 2008 Spring Simulation Multiconference (SpringSim'08), sponsored by The Society for Modeling and Simulation International (SCS) in collaboration with ACM/SIGSIM. SpringSim'08 brings together ...

Hassan Rajaei

2008-04-01T23:59:59.000Z

384

Milestone M4900: Simulant Mixing Analytical Results  

SciTech Connect

This report addresses Milestone M4900, ''Simulant Mixing Sample Analysis Results,'' and contains the data generated during the ''Mixing of Process Heels, Process Solutions, and Recycle Streams: Small-Scale Simulant'' task. The Task Technical and Quality Assurance Plan for this task is BNF-003-98-0079A. A report with a narrative description and discussion of the data will be issued separately.

Kaplan, D.I.

2001-07-26T23:59:59.000Z

385

Machining processes simulation: specific finite element aspects  

Science Conference Proceedings (OSTI)

The paper presents a simulation tool designed to predict form errors of part surfaces obtained by face milling and turning processes. For these operations, the form error is often due to the flexibility of the workpiece and its supports. The finite element ... Keywords: finite elements, milling, simulation, turning

Luc Masset; Jean-Francois Debongnie

2004-07-01T23:59:59.000Z

386

The development of Urban Crime Simulator  

Science Conference Proceedings (OSTI)

Based on routine activities theory, deviant places theory, and neighborhood life cycle concepts, this paper describes the development of an Urban Crime Simulator (UCS) that was developed to allow estimation for changes in property crime rates in urban ... Keywords: crime, deviant places theory, neighborhood life cycle, routine activities theory, simulation, urban growth

Jay Lee; Chaoqing Yu

2010-06-01T23:59:59.000Z

387

Sonderforschungsbereich 393 Parallele Numerische Simulation fur  

E-Print Network (OSTI)

393 NUMERISCHE PARALLELE SIMULATION SN ARBEITS­ UND ERGEBNISBERICHT 2004 ­ 2005 #12;#12;ARBEITS­ UND ERGEBNISBERICHT 2004­2005 SFB 393 Deutsche Forschungsgemeinschaft -- Sonderforschungsbereiche -- ¨uber Magnifizenz SIMULATION SN #12;#12;Inhaltsverzeichnis 1 Allgemeiner Teil/Zusammenfassung 5 1.1 Wissenschaftliche

Chemnitz, Technische Universität

388

Dimensions of credibility in models and simulations  

Science Conference Proceedings (OSTI)

Based on the National Aeronautics and Space Administration's (NASA's) work in developing a standard for models and simulations (M&S), the subject of credibility in M&S became a distinct focus. This is an indirect result from the Space Shuttle Columbia ... Keywords: NASA, credibility, models, robustness, simulations, standard, uncertainty, validation, verification

Martin J. Steele

2008-06-01T23:59:59.000Z

389

PRODCOST: an electric utility generation simulation code  

SciTech Connect

The PRODCOST computer code simulates the operation of an electric utility generation system. Through a probabilistic simulation the expected energy production, fuel consumption, and cost of operation for each plant are determined. Total system fuel consumption, energy generation by type, total generation costs, as well as system loss of load probability and expected unserved energy are also calculated.

Hudson, II, C. R.; Reynolds, T. M.; Smolen, G. R.

1981-02-01T23:59:59.000Z

390

Computational Methods for Simulating Quantum Computers  

E-Print Network (OSTI)

This review gives a survey of numerical algorithms and software to simulate quantum computers.It covers the basic concepts of quantum computation and quantum algorithms and includes a few examples that illustrate the use of simulation software for ideal and physical models of quantum computers.

H. De Raedt; K. Michielsen

2004-06-27T23:59:59.000Z

391

Drawing graphs nicely using simulated annealing  

Science Conference Proceedings (OSTI)

The paradigm of simulated annealing is applied to the problem of drawing graphs nicely. Our algorithm deals with general undirected graphs with straight-line edges, and employs several simple criteria for the aesthetic quality of the result. ... Keywords: aesthetics, graph drawing, simulated annealing

Ron Davidson; David Harel

1996-10-01T23:59:59.000Z

392

MaGate Simulator: A Simulation Environment for a Decentralized Grid Scheduler  

Science Conference Proceedings (OSTI)

This paper presents a simulator for of a decentralized modular grid scheduler named MaGate. MaGate's design emphasizes scheduler interoperability by providing intelligent scheduling serving the grid community as a whole. Each MaGate scheduler instance ... Keywords: Grid Scheduling, MaGate Simulator, Simulation, SmartGRID

Ye Huang; Amos Brocco; Michele Courant; Beat Hirsbrunner; Pierre Kuonen

2009-08-01T23:59:59.000Z

393

NREL: Energy Storage - Modeling and Simulation  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling and Simulation Modeling and Simulation Two NREL researchers are silhouetted in front of computer screens displaying thermal model images. NREL modeling and simulation experts use an extensive portfolio of validated tools to assess ES solutions for advanced vehicles. Photo by Dennis Schroeder, NREL/PIX 22009 Multi-physics simulation of energy storage (ES) devices provides a less expensive, faster, and more controlled alternative to in-lab testing in the early stages of research and development (R&D)-which eventually leads to longer lasting, dependable and powerful batteries. NREL is a recognized leader in systems-level thermal design, performance, lifespan, reliability, and safety modeling and simulation. The lab's 1-D and 3-D steady-state and transient multi-physics models are used to examine heat transfer,

394

House Simulation Protocols Report | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Residential Buildings » Building America » House Simulation Residential Buildings » Building America » House Simulation Protocols Report House Simulation Protocols Report This image shows a cover of a report titled Building America House Simulation Protocols. The Building America logo is shown in the lower left corner of the report cover. Building America's House Simulation Protocols report is designed to assist researchers in tracking the progress of multiyear, whole-building energy reduction against research goals for new and existing homes. These protocols are preloaded into BEopt and use a consistent approach for defining a reference building, so that all projects can be compared to each other. The steps involved in conducting performance analysis include: Defining the appropriate reference building Various climate regions, house sizes, and house ages require slightly

395

Whole Building Energy Simulation | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Simulation Energy Simulation Whole Building Energy Simulation October 16, 2013 - 4:39pm Addthis Whole building energy simulation, also referred to as energy modeling, can and should be incorporated early during project planning to provide energy impact feedback for which design considerations may be pursued. Whole building energy simulation software adequately assesses the interactions between complex building systems and equally complex schedules and utility rates structures for projects in specific locations throughout the world. Energy models incorporate actual building construction, internal load sources, and associated schedules using annual hourly weather data specific to the project location. These models can be used early in the design process when little information is known and updated, continually

396

Monte Carlo Simulation for Particle Detectors  

E-Print Network (OSTI)

Monte Carlo simulation is an essential component of experimental particle physics in all the phases of its life-cycle: the investigation of the physics reach of detector concepts, the design of facilities and detectors, the development and optimization of data reconstruction software, the data analysis for the production of physics results. This note briefly outlines some research topics related to Monte Carlo simulation, that are relevant to future experimental perspectives in particle physics. The focus is on physics aspects: conceptual progress beyond current particle transport schemes, the incorporation of materials science knowledge relevant to novel detection technologies, functionality to model radiation damage, the capability for multi-scale simulation, quantitative validation and uncertainty quantification to determine the predictive power of simulation. The R&D on simulation for future detectors would profit from cooperation within various components of the particle physics community, and synerg...

Pia, Maria Grazia

2012-01-01T23:59:59.000Z

397

A generic reaction-based biogeochemical simulator  

SciTech Connect

This paper presents a generic biogeochemical simulator, BIOGEOCHEM. The simulator can read a thermodynamic database based on the EQ3/EQ6 database. It can also read user-specified equilibrium and kinetic reactions (reactions not defined in the format of that in EQ3/EQ6 database) symbolically. BIOGEOCHEM is developed with a general paradigm. It overcomes the requirement in most available reaction-based models that reactions and rate laws be specified in a limited number of canonical forms. The simulator interprets the reactions, and rate laws of virtually any type for input to the MAPLE symbolic mathematical software package. MAPLE then generates Fortran code for the analytical Jacobian matrix used in the Newton-Raphson technique, which are compiled and linked into the BIOGEOCHEM executable. With this feature, the users are exempted from recoding the simulator to accept new equilibrium expressions or kinetic rate laws. Two examples are used to demonstrate the new features of the simulator.

Fang, Yilin; Yabusaki, Steven B.; Yeh, Gour T.; C.T. Miller, M.W. Farthing, W.G. Gray, and G.F. Pinder

2004-06-17T23:59:59.000Z

398

Simulations of carbon fiber composite delamination tests  

Science Conference Proceedings (OSTI)

Simulations of mode I interlaminar fracture toughness tests of a carbon-reinforced composite material (BMS 8-212) were conducted with LSDYNA. The fracture toughness tests were performed by U.C. Berkeley. The simulations were performed to investigate the validity and practicality of employing decohesive elements to represent interlaminar bond failures that are prevalent in carbon-fiber composite structure penetration events. The simulations employed a decohesive element formulation that was verified on a simple two element model before being employed to perform the full model simulations. Care was required during the simulations to ensure that the explicit time integration of LSDYNA duplicate the near steady-state testing conditions. In general, this study validated the use of employing decohesive elements to represent the interlaminar bond failures seen in carbon-fiber composite structures, but the practicality of employing the elements to represent the bond failures seen in carbon-fiber composite structures during penetration events was not established.

Kay, G

2007-10-25T23:59:59.000Z

399

Flexible Residential Smart Grid Simulation Framework  

E-Print Network (OSTI)

Different scheduling and coordination algorithms controlling household appliances operations can potentially lead to energy consumption reduction and/or load balancing in conjunction with different electricity pricing methods used in smart grid programs. In order to easily implement different algorithms and evaluate their efficiency against other ideas, a flexible simulation framework is desirable in both research and business fields. However, such a platform is currently lacking or underdeveloped. In this thesis, we provide a simulation framework to focus on demand side residential energy consumption coordination in response to different pricing methods. This simulation framework, equipped with an appliance consumption library using realistic values, aims to closely represent the average usage of different types of appliances. The simulation results of traditional usage yield close matching values compared to surveyed real life consumption records. Several sample coordination algorithms, pricing schemes, and communication scenarios are also implemented to illustrate the use of the simulation framework.

Wang Xiang; Thomas Kunz; Marc St-hilaire; Wang Xiang

2013-01-01T23:59:59.000Z

400

Building Energy Software Tools Directory: Frame Simulator  

NLE Websites -- All DOE Office Websites (Extended Search)

Frame Simulator Frame Simulator Frame Simulator logo Frame Simulator makes calculation of the thermal transmittance in windows and building components an extremely easy process. It can be used to: analyze how heat flows through building components and fenestrations estimate surface temperatures and predict condensation problems discover weak points in window frames calculate thermal transmittance Uf and linear conductance Lf2d of any type of window frame as well as the Uw thermal transmittance of entire complex fenestration. Precise simulation of the heat transfer is performed using a two-dimensional numerical method for steady state boundary conditions conforming to ISO 10077-2 (finite elements). Screen Shots Keywords 2D, heat transfer, thermal analysis, thermal transmittance, thermal

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

An Evaluation of the Network Simulators in Large-Scale Distributed Simulations  

Science Conference Proceedings (OSTI)

This is a survey paper about the state-of-the-art in large-scale network simulation. Networks for the smart grids are characterized by millions of sensor nodes exchanging information about the status of the grid. This information exchange must be realized reliably and efficiently due to the mission critical nature of the power grid. Hence, the applications and the network protocols developed for the smart grid need go through rigorous testing and analysis before deployment. Developers usually do not have access to such a large-scale network that can be used as a controlled test-bed; therefore, network simulation becomes an essential tool for testing. Network simulation is a well studied problem in the literature and there are various widely used network simulators. These simulators can be adopted for testing applications and protocols of the smart grid. Due to the scale of these networks, parallel/distributed simulations need to be conducted. Even though most network simulators support distributed simulations, generating a large-scale network model to simulate can still be a cumbersome task. In this survey, we describe a selection of commonly used network simulators and evaluate them with respect to the following features that can aid users in distributed simulations of large-scale networks: transparency of setting up distributed simulation, automated topology generation, information hiding, lightweight routing protocols, network error simulation, evaluation of the network model during simulation and trace analysis tools. As a complementary result, we identify two issues with network simulators that can be addressed with runtime steering methods.

Ciraci, Selim; Akyol, Bora A.

2011-11-13T23:59:59.000Z

402

MSPI False Indication Probability Simulations  

Science Conference Proceedings (OSTI)

This paper examines false indication probabilities in the context of the Mitigating System Performance Index (MSPI), in order to investigate the pros and cons of different approaches to resolving two coupled issues: (1) sensitivity to the prior distribution used in calculating the Bayesian-corrected unreliability contribution to the MSPI, and (2) whether (in a particular plant configuration) to model the fuel oil transfer pump (FOTP) as a separate component, or integrally to its emergency diesel generator (EDG). False indication probabilities were calculated for the following situations: (1) all component reliability parameters at their baseline values, so that the true indication is green, meaning that an indication of white or above would be false positive; (2) one or more components degraded to the extent that the true indication would be (mid) white, and false would be green (negative) or yellow (negative) or red (negative). In key respects, this was the approach taken in NUREG-1753. The prior distributions examined were the constrained noninformative (CNI) prior used currently by the MSPI, a mixture of conjugate priors, the Jeffreys noninformative prior, a nonconjugate log(istic)-normal prior, and the minimally informative prior investigated in (Kelly et al., 2010). The mid-white performance state was set at ?CDF = ?10 ? 10-6/yr. For each simulated time history, a check is made of whether the calculated ?CDF is above or below 10-6/yr. If the parameters were at their baseline values, and ?CDF > 10-6/yr, this is counted as a false positive. Conversely, if one or all of the parameters are set to values corresponding to ?CDF > 10-6/yr but that time historys ?CDF histories (100,000). Results are presented for a set of base case parameter values, and three sensitivity cases in which the number of FOTP demands was reduced, along with the Birnbaum importance of the FOTP.

Dana Kelly; Kurt Vedros; Robert Youngblood

2011-03-01T23:59:59.000Z

403

A numerical sensitivity analysis of streamline simulation  

E-Print Network (OSTI)

Nowadays, field development strategy has become increasingly dependent on the results of reservoir simulation models. Reservoir studies demand fast and efficient results to make investment decisions that require a reasonable trade off between accuracy and simulation time. One of the suitable options to fulfill this requirement is streamline reservoir simulation technology, which has become very popular in the last few years. Streamline (SL) simulation provides an attractive alternative to conventional reservoir simulation because SL offers high computational efficiency and minimizes numerical diffusion and grid orientation effects. However, streamline methods have weaknesses incorporating complex physical processes and can also suffer numerical accuracy problems. The main objective of this research is to evaluate the numerical accuracy of the latest SL technology, and examine the influence of different factors that may impact the solution of SL simulation models. An extensive number of numerical experiments based on sensitivity analysis were performed to determine the effects of various influential elements on the stability and results of the solution. Those experiments were applied to various models to identify the impact of factors such as mobility ratios, mapping of saturation methods, number of streamlines, time step sizes, and gravity effects. This study provides a detailed investigation of some fundamental issues that are currently unresolved in streamline simulation.

Chaban Habib, Fady Ruben

2004-12-01T23:59:59.000Z

404

Composite Lighting Simulations with Lighting Networks  

E-Print Network (OSTI)

A whole variety of different techniques for simulating global illumination in virtual environments have been developed over recent years. Each technique, including Radiosity, Monte-Carlo ray- or photon tracing, and directional-dependent Radiance computations, is best suited for simulating only some special case environments. None of these techniques is currently able to efficiently simulate all important lighting effects in non-trivial scenes. In this paper, we describe a new approach for efficiently combining different global illumination algorithms to yield a composite lighting simulation: Lighting Networks. Lighting Networks can exploit the advantages of each algorithm and can combine them in such a way as to simulate lighting effects that could only be computed at great costs by any single algorithm. Furthermore, this approach allows a user to configure the Lighting Network to compute only specific lighting effects that are important for a given task, while avoiding a costly simulation of the full global illumination in a scene. We show how the light paths computed by a Lighting Network can be described using regular expressions. This mapping allows us to analyze the composite lighting simulation and ensure completeness and redundant-free computations. Several examples demonstrate the advantages and unique lighting effects that can be obtained using this technique. 1

Philipp Slusallek; Marc Stamminger; Wolfgang Heidrich; Jan-Christian Popp; Hans-peter Seidel

1998-01-01T23:59:59.000Z

405

Assembly flow simulation of a radar  

Science Conference Proceedings (OSTI)

A discrete event simulation model has been developed to predict the assembly flow time of a new radar product. The simulation was the key tool employed to identify flow constraints. The radar, production facility, and equipment complement were designed, arranged, and selected to provide the most manufacturable assembly possible. A goal was to reduce the assembly and testing cycle time from twenty-six weeks to six weeks. A computer software simulation package (SLAM II) was utilized as the foundation a for simulating the assembly flow time. FORTRAN subroutines were incorporated into the software to deal with unique flow circumstances that were not accommodated by the software. Detailed information relating to the assembly operations was provided by a team selected from the engineering, manufacturing management, inspection, and production assembly staff. The simulation verified that it would be possible to achieve the cycle time goal of six weeks. Equipment and manpower constraints were identified during the simulation process and adjusted as required to achieve the flow with a given monthly production requirement. The simulation is being maintained as a planning tool to be used to identify constraints in the event that monthly output is increased. ``What-if`` studies have been conducted to identify the cost of reducing constraints caused by increases in output requirement.

Rutherford, W.C.; Biggs, P.M.

1993-10-01T23:59:59.000Z

406

History match simulation of Serrazzano geothermal reservoir  

DOE Green Energy (OSTI)

The simulator SHAFT79 of Lawrence Berkeley Laboratory has been applied to field-wide distributed parameter simulation of the vapor-dominated geothermal reservoir at Serrazzano, Italy. Using a three-dimensional geologically accurate mesh and detailed flow rate data from 19 producing wells, a period of 15.5 years (from 1959 to 1975) has been simulated. The reservoir model used is based on field measurements of temperatures and pressures, laboratory data for core samples, and available geological and hydrological information. The main parameters determined (adjusted) during development of the simulation are permeabilities and much of the initial conditions. Simulated patterns of pressure decline show semi-quantitative agreement with field observations. The simulation suggests that there is cold water recharge and/or incomplete heat transfer from he rock due to fractures in the margins of the reservoir, and some steam flowing to the main well field originates from deep fractures rather than from boiling in the two-phase zones modeled. Simulation methodology and ambiguity of parameter determination is discussed.

Pruess, K.; Weres, O.; Schroeder, R.; Marconcini, R.; Neri, G.

1980-08-01T23:59:59.000Z

407

SLUDGE BATCH 6/TANK 51 SIMULANT CHEMICAL PROCESS CELL SIMULATIONS  

DOE Green Energy (OSTI)

Qualification simulant testing was completed to determine appropriate processing conditions and assumptions for the Sludge Batch 6 (SB6) Shielded Cells demonstration of the DWPF flowsheet using the qualification sample from Tank 51 for SB6 after SRNL washing. It was found that an acid addition window of 105-139% of the DWPF acid equation (100-133% of the Koopman minimum acid equation) gave acceptable Sludge Receipt and Adjustment Tank (SRAT) and Slurry Mix Evaporator (SME) results for nitrite destruction and hydrogen generation. Hydrogen generation occurred continuously after acid addition in three of the four tests. The three runs at 117%, 133%, and 150% stoichiometry (Koopman) were all still producing around 0.1 lb hydrogen/hr at DWPF scale after 42 hours of boiling in the SRAT. The 150% acid run reached 110% of the DWPF SRAT limit of 0.65 lb H{sub 2}/hr, and the 133% acid run reached 75% of the DWPF SME limit of 0.223 lb H{sub 2}/hr. Conversely, nitrous oxide generation was subdued compared to previous sludge batches, staying below 25 lb/hr in all four tests or about a fourth as much as in comparable SB4 testing. Two other processing issues were noted. First, incomplete mercury suspension impacted mercury stripping from the SRAT slurry. This led to higher SRAT product mercury concentrations than targeted (>0.45 wt% in the total solids). Associated with this issue was a general difficulty in quantifying the mass of mercury in the SRAT vessel as a function of time, especially as acid stoichiometry increased. About ten times more mercury was found after drying the 150% acid SME product to powder than was indicated by the SME product sample results. Significantly more mercury was also found in the 133% acid SME product samples than was found during the SRAT cycle sampling. It appears that mercury is segregating from the bulk slurry in the SRAT vessel, as mercury amalgam deposits for example, and is not being resuspended by the agitators. The second processing issue was significant ammonium ion formation as the acid stoichiometry was increased due to the high noble metal-high mercury feed conditions. Ammonium ion was found partitioned between the SRAT product slurry and the condensate from the lab-scale off-gas chiller downstream of the SRAT condenser. The ammonium ion was produced from nitrate ion by formic acid. Formate losses increased with increasing acid stoichiometry reaching 40% at the highest stoichiometry tested. About a third of the formate loss at higher acid stoichiometries appeared to be due to ammonia formation. The full extent of ammonia formation was not determined in these tests, since uncondensed ammonia vapor was not quantified; but total formation was bounded by the combined loss of nitrite and nitrate. Nitrate losses during ammonia formation led to nitrite-to-nitrate conversion values that were negative in three of the four tests. The negative results were an artifact of the calculation that assumes negligible SRAT nitrate losses. The sample data after acid addition indicated that some of the initial nitrite was converted to nitrate, so the amount of nitrate destroyed included nitrite converted to nitrate plus some of the added nitrate from the sludge and nitric acid. It is recommended that DWPF investigate the impact of SME product ammonium salts on melter performance (hydrogen, redox). It was recommended that the SB6 Shielded Cells qualification run be performed at 115% acid stoichiometry and allow about 35 hours of boiling for mercury stripping at the equivalent of a 5,000 lb/hr boil-up rate.

Koopman, David; Best, David

2010-04-28T23:59:59.000Z

408

MSPI False Indication Probability Simulations  

SciTech Connect

This paper examines false indication probabilities in the context of the Mitigating System Performance Index (MSPI), in order to investigate the pros and cons of different approaches to resolving two coupled issues: (1) sensitivity to the prior distribution used in calculating the Bayesian-corrected unreliability contribution to the MSPI, and (2) whether (in a particular plant configuration) to model the fuel oil transfer pump (FOTP) as a separate component, or integrally to its emergency diesel generator (EDG). False indication probabilities were calculated for the following situations: (1) all component reliability parameters at their baseline values, so that the true indication is green, meaning that an indication of white or above would be false positive; (2) one or more components degraded to the extent that the true indication would be (mid) white, and false would be green (negative) or yellow (negative) or red (negative). In key respects, this was the approach taken in NUREG-1753. The prior distributions examined were the constrained noninformative (CNI) prior used currently by the MSPI, a mixture of conjugate priors, the Jeffreys noninformative prior, a nonconjugate log(istic)-normal prior, and the minimally informative prior investigated in (Kelly et al., 2010). The mid-white performance state was set at ?CDF = ?10 ? 10-6/yr. For each simulated time history, a check is made of whether the calculated ?CDF is above or below 10-6/yr. If the parameters were at their baseline values, and ?CDF > 10-6/yr, this is counted as a false positive. Conversely, if one or all of the parameters are set to values corresponding to ?CDF > 10-6/yr but that time historys ?CDF < 10-6/yr, this is counted as a false negative indication. The false indication (positive or negative) probability is then estimated as the number of false positive or negative counts divided by the number of time histories (100,000). Results are presented for a set of base case parameter values, and three sensitivity cases in which the number of FOTP demands was reduced, along with the Birnbaum importance of the FOTP.

Dana Kelly; Kurt Vedros; Robert Youngblood

2011-03-01T23:59:59.000Z

409

Discrete-event simulation in Java: a practitioner's experience  

Science Conference Proceedings (OSTI)

The experience of a simulation practitioner with development of a new Java simulation engine and its application to a large simulation model is described. Our simulation engine is implemented as a simple extension of the Java programming language and ... Keywords: Java, discrete-event simulation, parallel processing, practitioner, supply chain

D. H. King; Harvey S. Harrison

2010-07-01T23:59:59.000Z

410

Dynamics Simulation in a Wave Environment  

NLE Websites -- All DOE Office Websites (Extended Search)

Coupled Dynamic Simulation in a Wave Coupled Dynamic Simulation in a Wave Environment (Navatek, AEGIR, and WECs) Marine and Hydrokinetics Instrumentation Workshop 9 July 2012 David Kring, Navatek Ltd. Presentation Overview * Introduction to Navatek * AEGIR brief: resistance, seakeeping, global and local loads a 3D, NURBS-based, high-order, Rankine boundary element method ... from same lab as at MIT as WAMIT and SWAN, with pFFT acceleration coupling with controls, structures, aerodynamics, power take-offs * Some WEC applications at Navatek 2 Honolulu, Hawaii, USA Company Background A "Research Shipyard" based in Honolulu, HI Combining simulation-based design with prototype construction

411

Simulation of time evolution with the MERA  

E-Print Network (OSTI)

We describe an algorithm to simulate time evolution using the Multi-scale Entanglement Renormalization Ansatz (MERA) and test it by studying a critical Ising chain with periodic boundary conditions and with up to L ~ 10^6 quantum spins. The cost of a simulation, which scales as L log(L), is reduced to log(L) when the system is invariant under translations. By simulating an evolution in imaginary time, we compute the ground state of the system. The errors in the ground state energy display no evident dependence on the system size. The algorithm can be extended to lattice systems in higher spatial dimensions.

Matteo Rizzi; Simone Montangero; Guifre' Vidal

2007-06-06T23:59:59.000Z

412

Towards Flexible Exascale Stream Processing System Simulation  

Science Conference Proceedings (OSTI)

Stream processing is an important emerging computational model for performing complex operations on and across multi-source, high-volume, unpredictable dataflows. We present Flow, a platform for parallel and distributed stream processing system simulation that provides a flexible modeling environment for analyzing stream processing applications. The Flow stream processing system simulator is a high-performance, scalable simulator that automatically parallelizes chunks of the model space and incurs near-zero synchronization overhead for acyclic stream application graphs. We show promising parallel and distributed event rates exceeding 149 million events per second on a cluster with 512 processor cores.

Li, Cheng-Hong [IBM T. J. Watson Research Center; Nair, Ravi [IBM T. J. Watson Research Center; Ohba, Noboyuki [IBM Research, Japan; Shvadron, Uzi [IBM Corporation, Haifa Research Center; Zaks, Ayal [IBM Corporation, Haifa Research Center; Schenfeld, Eugen [IBM T. J. Watson Research Center

2012-01-01T23:59:59.000Z

413

Simulating permanent magnet brushless motors in DYMOLA  

E-Print Network (OSTI)

Multi-domain dynamic simulation is becoming an issue in the design of high performance mechatronic systems, where advances are foreseen only if the mutual interaction of different parts of the system is well understood. The modelling environment provided by DYMOLA with Modelica language proved to be ideal for studying the mutual effects of mechanics, elec- tronics and control in a brushless motor, whose model has been conceived as one of the building blocks of a wider project, aimed at simulating a complete machining centre. Details on the model of the brushless motor as well as on its simulation are given in the present pa- per.

G. Ferretti; G. Magnani; P. Rocco; L. Bonometti; M. Maraglino

2002-01-01T23:59:59.000Z

414

Auction market simulator for price based operation  

Science Conference Proceedings (OSTI)

Through the passage of new public utility regulatory policies, the Federal Energy Regulatory Commission (FERC) encourages an open market system for price based operation. A previous paper describes a framework for price based operation and the associated technical issues in an auction market structure. This paper presents an auction market simulator to experimentally study the aspects of power system operation in price-based environment. The proposed simulator can also be used as a tool to train the system operators how to perform electric power transaction in the deregulated environment. This paper presents the simulation results of auction market for price based operation in the 24-bus, 10-generator IEEE Reliability Test System.

Kumar, J.; Sheble, G. [Iowa State Univ., Ames, IA (United States). Dept. of Electrical and Computer Engineering

1998-02-01T23:59:59.000Z

415

Advanced Process Engineering Co-simulation  

NLE Websites -- All DOE Office Websites (Extended Search)

7 7 AdvAnced Process engineering co-simulAtion Description The National Energy Technology Laboratory (NETL) and its R&D collaboration partners are developing the Advanced Process Engineering Co-Simulator (APECS) as an innovative software tool that combines process simulation with high-fidelity equipment models based on computational fluid dynamics (CFD). Winner of a 2004 R&D 100 Award and a 2007 Federal Laboratory Consortium (FLC) Excellence in Technology Transfer Award, this powerful co-simulation technology, for the first time, provides the necessary level of detail and accuracy essential for engineers to analyze and optimize the coupled fluid flow, heat and mass transfer, and chemical reactions that drive overall plant performance. Combined with advanced visualization and high-performance computing,

416

Climatological Extremes of Simulated Annual Mean Rainfall  

Science Conference Proceedings (OSTI)

The Commonwealth Scientific and Industrial Research Organisation (CSIRO) Mark 2 global coupled climatic model has been used to generate a 10 000-yr simulation of present climate. The resultant dataset has been used to investigate a number of ...

B. G. Hunt

2006-10-01T23:59:59.000Z

417

Phonostat: Thermostatting phonons in molecular dynamics simulations  

E-Print Network (OSTI)

Thermostat algorithms in a molecular dynamics simulation maintain an average temperature of a system by regulating the atomic velocities rather than the internal degrees of freedom. Herein, we present a phonostat algorithm ...

Raghunathan, Rajamani

418

Simulation of synchrotron motion with rf noise  

Science Conference Proceedings (OSTI)

The theoretical formulation is described that is behind an algorithm for synchrotron phase-space tracking with rf noise and some preliminary simulation results of bunch diffusion under rf noise obtained by actual tracking.

Leemann, B.T.; Forest, E.; Chattopadhyay, S.

1986-08-01T23:59:59.000Z

419

A Distributed Application for Monte Carlo Simulations  

Science Conference Proceedings (OSTI)

The present paper implements a cluster of workstation (COW) structure and also an application that will demonstrate the advantages and benefits of such a structure. The application is a message - passing - based parallel program, which simulates in parallel ...

Nicolae Tapus; Mihai Burcea; Vlad Staicu

2001-09-01T23:59:59.000Z

420

Electron Cloud Simulations with PyECLOUD  

E-Print Network (OSTI)

PyECLOUD is a newly developed code for the simulation of the electron cloud (EC) build-up in particle accelerators. Almost entirely written in Python, it is mostly based on the physical models already used in the ECLOUD code but, thanks to the implementation of new optimized algorithms, it exhibits a significantly improved performance in accuracy, speed, reliability and flexibility. PyECLOUD simulations have been already broadly employed for benchmarking the EC observations in the Large Hadron Collider (LHC). Thanks to the new feature of running EC simulations with bunch-by-bunch length and intensity data from machine measurements, the scrubbing process of the LHC beam pipes could be reconstructed from heat load measurements in the cryogenic dipoles. In addition, PyECLOUD simulations also provide the estimation of the bunch-by-bunch energy loss, which can be compared with the measurements of the stable phase shift.

Iadarola, G

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

The inversion algorithm for digital simulation  

Science Conference Proceedings (OSTI)

The inversion algorithm is an event-driven algorithm, whose performance rivals or exceeds that of levelized compiled code simulation, even at activity rates of 50% or more. The inversion algorithm has several unique features, the most remarkable of which ...

P. M. Maurer

2006-11-01T23:59:59.000Z

422

Atomistic Simulation of Creep in a Nanocrystal  

E-Print Network (OSTI)

We describe a method to simulate on macroscopic time scales the stress relaxation in an atomistic nanocrystal model under an imposed strain. Using a metadynamics algorithm for transition state pathway sampling we follow ...

Lau, Timothy T.

423

Atomistic Simulation of Slow Grain Boundary Motion  

E-Print Network (OSTI)

Existing atomistic simulation techniques to study grain boundary motion are usually limited to either high velocities or temperatures and are difficult to compare to realistic experimental conditions. Here we introduce an ...

Deng, Chuang

424

VORPAL Simulations Relevant to Coherent Electron Cooling  

SciTech Connect

Coherent electron cooling (CEC)* combines the best features of electron cooling and stochastic cooling, via free-electron laser technology**, to offer the possibility of cooling high-energy hadron beams with order-of-magnitude shorter cooling times. Many technical difficulties must be resolved via full-scale 3D simulations, before the CEC concept can be validated experimentally. VORPAL is the ideal code for simulating the modulator and kicker regions, where the electron and hadron beams will co-propagate as in a conventional electron cooling section. Unlike previous VORPAL simulations*** of electron cooling physics, where dynamical friction on the ions was the key metric, it is the details of the electron density wake driven by each ion in the modulator section that must be understood, followed by strong amplification in the FEL. We present some initial simulation results. In particular, we compare the semi-analytic binary collision model with electrostatic particle-in-cell (PIC).

Bell, G.I.; Bruhwiler, D.L.; Sobol, A.V.; Ben-Zvi, Ilan; Litvinenko, Vladimir; Derbenev, Yaroslav

2008-07-01T23:59:59.000Z

425

VORPAL simulations relevant to coherent electron cooling  

Science Conference Proceedings (OSTI)

Coherent electron cooling (CEC) [1] combines the best features of electron cooling and stochastic cooling, via free-electron laser technology [2], to offer the possibility of cooling high-energy hadron beams with order-of-magnitude shorter cooling times. Many technical difficulties must be resolved via full-scale 3D simulations, before the CEC concept can be validated experimentally. VORPAL is the ideal code for simulating the modulator and kicker regions, where the electron and hadron beams will co-propagate as in a conventional electron cooling section. Unlike previous VORPAL simulations [3] of electron cooling physics, where dynamical friction on the ions was the key metric, it is the details of the electron density wake driven by each ion in the modulator section that must be understood, followed by strong amplification in the FEL. We present some initial simulation results.

Bell,G.; Bruhwiler, D.; Sobol, A.; Ben-Zvi, I.; Litvinenko, V.; Derbenev, Y.

2008-06-23T23:59:59.000Z

426

SAFARI 2000 MODIS Airborne Simulator Data  

NLE Websites -- All DOE Office Websites (Extended Search)

Airborne Simulator Data Airborne Simulator Data The ORNL DAAC announces the release of a new SAFARI 2000 data set. The data set "SAFARI 2000 MODIS Airborne Simulator Data, Southern Africa, Dry Season 2000" contains MODIS Airborne Simulator (MAS) multispectral data collected during the SAFARI 2000 project. Twenty flights with the MAS instrument were undertaken over Southern Africa by the NASA ER-2 aircraft during August and September 2000. The MAS spectrometer collects 50 multispectral bands at 16-bit resolution with a ground resolution of 50 meters from 20,000 meters altitude and a cross track scan width of 85.92 degrees. This data set is organized by flight, and each flight consists of several straight-line segments called tracks. There is a MAS multispectral data file for each track. The data are available in Hierarchical Data Format

427

Modeling and Simulation Data Generation.pub  

NLE Websites -- All DOE Office Websites (Extended Search)

Simulation Data Simulation Data Generation Oak Ridge National Laboratory managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract number DE-AC05-00OR22725 Research Areas Freight Flows Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies Research Brief A n ORNL team supported the Rapid Data Generation (RDG) Project from 2009 to 2012. This work was performed for the Joint Training Integration and Evaluation Center and the Modeling and Simulation Coordination Office. The objective of RDG is to reduce the resources required to produce, integrate, and correlate data, eliminate or reduce duplicative efforts, and promote data commonality for modeling and simulation (M&S) activities across the Department of

428

Simulated liquid argon interactions with neutrons  

E-Print Network (OSTI)

The GEANT4 physics simulation program is known to have errors in how hadronic interactions are implemented. This has the potential to cause errors in the Monte Carlos used to determine the expected neutron backgrounds in ...

Harrington, Kathleen M

2012-01-01T23:59:59.000Z

429

Simulation based decision for steelmaking operations challenges  

Science Conference Proceedings (OSTI)

Companhia Siderrgica de Tubaro CST, is investing to expand production level in 50%, adding new equipment and altering production process. Simulation is widely used in CST, mainly in strategic phases prior to capital investment. A previous ...

Marcelo Moretti Fioroni; Luiz Augusto G. Franzese; Edson Luis M. Harano; Benedito Pedro Costhek; Joo Bosco Mendes; Joeli Cuzzuol; Juliana de Souza Lima; Ricardo Baeta Santos; Robson Jacinto Coelho; Adriano Csar Silva; Odair Jos Kimsr

2005-12-01T23:59:59.000Z

430

Climate Change in California: Trends, Interpretation, Simulations...  

NLE Websites -- All DOE Office Websites (Extended Search)

in California: Trends, Interpretation, Simulations and Impacts Speaker(s): Philip B. Duffy Date: May 19, 2006 - 12:00pm Location: Bldg. 90 This talk will discuss some of my recent...

431

Communication cost of simulating entanglement swapping  

E-Print Network (OSTI)

Entanglement appears in two different ways in quantum mechanics, namely as a property of states and as a property of measurement outcomes in joint measurements. By combining these two aspects of entanglement, it is possible to generate nonlocality between particles that never interacted, using the protocol of entanglement swapping. We investigate the communication cost of classically simulating this process. While the communication cost of simulating nonlocal correlations of entangled states appears to be generally quite low, we show here that infinite communication is required to simulate entanglement swapping. This result is derived in the scenario of bilocality, where distant sources of particles are assumed to be independent, and takes advantage of a previous result of Massar et al. [Phys. Rev. A {\\bf 63}, 052305 (2001)]. Our result implies that any classical model simulating entanglement swapping must either assume that (i) infinite shared randomness is available between any two locations in the universe, or that (ii) infinite communication takes place.

Nicolas Brunner; Cyril Branciard; Nicolas Gisin; Denis Rosset

2011-03-25T23:59:59.000Z

432

Phase-field Simulations/Molecular Dynamics  

Science Conference Proceedings (OSTI)

The sharp interface model was used to determine the SLI free energy and its anisotropy by fitting to the MD data. Finally, the MD simulation of the B2 growth...

433

Simulation analysis of marine terminal investments  

Science Conference Proceedings (OSTI)

A common problem in the oil industry is the optimization of terminal facilities to minimize delays in servicing incoming tankers. In Exxon Corporation, simulation has been successfully applied to marine terminal studies since the early nineteen sixties. ...

David W. Graff

1973-01-01T23:59:59.000Z

434

Refinery burner simulation design architecture summary.  

SciTech Connect

This report describes the architectural design for a high fidelity simulation of a refinery and refinery burner, including demonstrations of impacts to the refinery if errors occur during the refinery process. The refinery burner model and simulation are a part of the capabilities within the Sandia National Laboratories Virtual Control System Environment (VCSE). Three components comprise the simulation: HMIs developed with commercial SCADA software, a PLC controller, and visualization software. All of these components run on different machines. This design, documented after the simulation development, incorporates aspects not traditionally seen in an architectural design, but that were utilized in this particular demonstration development. Key to the success of this model development and presented in this report are the concepts of the multiple aspects of model design and development that must be considered to capture the necessary model representation fidelity of the physical systems.

Pollock, Guylaine M.; McDonald, Michael James; Halbgewachs, Ronald D.

2011-10-01T23:59:59.000Z

435

Monte Carlo simulation in financial engineering  

Science Conference Proceedings (OSTI)

This paper reviews the use of Monte Carlo simulation in the field of financial engineering. It focuses on several interesting topics and introduces their recent development, including path generation, pricing American-style derivatives, evaluating Greeks ...

Nan Chen; L. Jeff Hong

2007-12-01T23:59:59.000Z

436

Modeling and Simulating Metal-Forming Equipment  

Science Conference Proceedings (OSTI)

Note in Figure 2 that the fundamental blocks in the forging process simulation .... for the engineer to answer questions concerning the wisdom of possibly adding a ... Harry N. Norton, Handbook of Transducers for Electronic Measuring Systems...

437

Challenges of Energy Simulation for Sustainable Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

Challenges of Energy Simulation for Sustainable Buildings Speaker(s): Tianzhen Hong Date: September 10, 2007 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact: Philip Haves...

438

A simulation of the FASTBUS protocols  

E-Print Network (OSTI)

FASTBUS is a standard bus system being developed for high speed data acquisition and processing in the next generation of large scale physics experiments. Prototypes are being built according to a draft specification. The FASTBUS protocols have been simulated using a powerful software tool which is a computer description language. This Instruction Set Processor Specification language, ISPS, has been used in the design and development of several microprocessor systems. Its applications are diverse, including automated design and the generation of machine relative software, as well as simulation. The results of the FASTBUS simulation are presented, with an overview of the ISPS hardware description language. An additional facility is discussed, which supplements the simulation by providing a visual presentation of the FASTBUS signals, that is, a timing-graph generator.

Booth, A W

1981-01-01T23:59:59.000Z

439

Numerical Simulation of Sudden Stratospheric Warmings  

Science Conference Proceedings (OSTI)

A mechanistic, quasi-geostrophic, semi-spectral model with a self-consistent calculation of the mean zonal flow fields is used to numerically simulate sudden stratospheric warmings generated by a single zonal harmonic (m) planetary wave. The ...

Mark R. Schoeberl; Darrell F. Strobel

1980-01-01T23:59:59.000Z

440

Polarization transmission at RHIC, numerical simulations  

SciTech Connect

Typical tracking simulations regarding the transmission of the polarization in the proton-proton collider RHIC are discussed. They participate in general studies aimed at understanding and improving polarization performances during polarized proton-proton runs.

Meot F.; Bai, M.; Liu, C.; Minty, M.; Ranjbar, V.

2012-05-20T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

A Data Center Energy Efficiency Simulation Tool  

NLE Websites -- All DOE Office Websites (Extended Search)

A Data Center Energy Efficiency Simulation Tool Speaker(s): Zahl Limbuwala Date: July 16, 2009 - 12:00pm Location: 90-3122 This talk will be an introduction to the BCS Data Centre...

442

Monte Carlo simulation in systems biology  

E-Print Network (OSTI)

2 The history of Monte Carlo Sampling in Systems Biology 1.1simulation tools: the systems biology workbench and biospiceCellular and Molecular Biology. ASM Press, Washington

Schellenberger, Jan

2010-01-01T23:59:59.000Z

443

The systems biology simulation core algorithm  

E-Print Network (OSTI)

Keller et al. : The systems biology simulation core algo-rithm. BMC Systems Biology 2013 7:55. Page 16 of 16 SubmitMacilwain C: Systems biology: evolving into the mainstream.

2013-01-01T23:59:59.000Z

444

Urban Behavioral Simulation and 3D Visualization  

NLE Websites -- All DOE Office Websites (Extended Search)

UrbanSim is a micro-simulation model system that represents the location choices of households and firms within the region, and the choices of real estate developers to construct...

445

Large-Eddy Simulation of Contrails  

Science Conference Proceedings (OSTI)

Numerical simulations of contrails have been performed to investigate the role of various external parameters and physical processes in the life cycle of contrails. The general idea underlying the model is that of a large-eddy model. The model ...

Andreas Chlond

1998-03-01T23:59:59.000Z

446

Transient fault modeling and fault injection simulation  

E-Print Network (OSTI)

An accurate transient fault model is presented in this thesis. A 7-term exponential current upset model is derived from the results of a device-level, 3-dimensional, single-event-upset simulation. A curve-fitting algorithm is used to extract the numerical model from the empirical data. The model is implemented in a HSPICE simulation environment as a current-injection source for fault simulation. The current transient model is used to conduct electrical-level fault injection simulations on a static RAM cell and subcircuits from two commercial microprocessors. The results from the 7-term exponential model are compared with the results from the widely accepted double-exponential transient model. The experimental data indicate that, for a given charge level, the 7-term exponential fault model results in a higher chance of having a latch error. More importantly, different latch-error patterns are captured from the target circuits under the new fault model.

Yuan, Xuejun

1996-01-01T23:59:59.000Z

447

Convective Control of ENSO Simulated in MIROC  

Science Conference Proceedings (OSTI)

The high sensitivity of the El NioSouthern Oscillation (ENSO) to cumulus convection is examined by means of a series of climate simulations using an updated version of the Model for Interdisciplinary Research on Climate (MIROC), called MIROC5. ...

Masahiro Watanabe; Minoru Chikira; Yukiko Imada; Masahide Kimoto

2011-01-01T23:59:59.000Z

448

Transportation Analysis, Modeling, and Simulation (TAMS) Application  

E-Print Network (OSTI)

Transportation Analysis, Modeling, and Simulation (TAMS) Application Center for Transportation Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies T he Center for Transportation Analysis (CTA) TAMS application is a web-based tool that supports

449

An online transportation system simulation testbed  

Science Conference Proceedings (OSTI)

A testbed for evaluation of online distributed simulations of transportation system infrastructures is described that includes a modest portion of an urban road network in the midtown region of Atlanta, Georgia. The testbed includes sensors, servers, ...

Brandon Baker; Edward Hagle; Toyan Harvey; Kendra Jones; Michael Pieper; Benjamin Stensland; Prashant Thiruvengadachari; Eric Thompson; Jewel Watts; Javier Young; Randall Guensler; Michael Hunter; Richard Fujimoto

2009-12-01T23:59:59.000Z

450

Simulated Space Environmental Testing on Thin Films  

Science Conference Proceedings (OSTI)

An exploratory program has been conducted, to irradiate some mature commercial and some experimental polymer films with radiation simulating certain Earth orbits, and to obtain data about the response of each test film''s reflective and tensile properties. ...

Russell Dennis A.; Fogdall Larry B.; Bohnhoff Gail

2000-04-01T23:59:59.000Z

451

Quantum Circuit Simulation, 1st edition  

Science Conference Proceedings (OSTI)

Quantum Circuit Simulation covers the fundamentals of linear algebra and introduces basic concepts of quantum physics needed to understand quantum circuits and algorithms. It requires only basic familiarity with algebra, graph algorithms and computer ...

George F. Viamontes; Igor L. Markov; John P. Hayes

2009-12-01T23:59:59.000Z

452

Numerical Simulation of Macrosegregation Formation during ...  

Science Conference Proceedings (OSTI)

Direct Numerical Simulation of Inclusion Turbulent Deposition at Liquid ... Flow and Shrinkage Pipe Formation on Macrosegregation of Investment Cast -TiAl Alloys ... Numerical Modeling of the Interaction between a Foreign Particle an...

453

Realistic hair simulation: animation and rendering  

Science Conference Proceedings (OSTI)

The last five years have seen a profusion of innovative solutions to one of the most challenging tasks in character synthesis: hair simulation. This class covers both recent and novel research ideas in hair animation and rendering, and presents time ...

Florence Bertails; Sunil Hadap; Marie-Paule Cani; Ming Lin; Tae-Yong Kim; Steve Marschner; Kelly Ward; Zoran Ka?i?-Alesi?

2008-08-01T23:59:59.000Z

454

A low cost high flux solar simulator  

E-Print Network (OSTI)

A low cost, high flux, large area solar simulator has been designed, built and characterized for the purpose of studying optical melting and light absorption behavior of molten salts. Seven 1500 W metal halide outdoor ...

Codd, Daniel S.

455

Combining sustainability criteria with discrete event simulation  

Science Conference Proceedings (OSTI)

This paper attempts to highlight shortcomings in the concept of sustainability and ways to make the concept more workable by presenting the development of an Environmental Management Information System (EMIS) as a combination of discrete event simulation ...

Andi H. Widok; Volker Wohlgemuth; Bernd Page

2011-12-01T23:59:59.000Z

456

Modeling and Simulation of ATM Traffic Management  

Science Conference Proceedings (OSTI)

This paper discusses modeling and simulation of ATMTraffic Management. It presents a survey on therequirements needed for such task considering previouswork in the area. The survey encloses the followingtopics: the modeling approach; the requirements ...

Antnio Marcos Alberti; Mauricio Luis Bottoli; Gean Davis Breda; Leonardo de Souza Mendes

2004-04-01T23:59:59.000Z

457

Simulating the scheduling of parallel supercomputer applications  

SciTech Connect

An Event Driven Simulator for Evaluating Multiprocessing Scheduling (EDSEMS) disciplines is presented. The simulator is made up of three components: machine model; parallel workload characterization ; and scheduling disciplines for mapping parallel applications (many processes cooperating on the same computation) onto processors. A detailed description of how the simulator is constructed, how to use it and how to interpret the output is also given. Initial results are presented from the simulation of parallel supercomputer workloads using Dog-Eat-Dog,'' Family'' and Gang'' scheduling disciplines. These results indicate that Gang scheduling is far better at giving the number of processors that a job requests than Dog-Eat-Dog or Family scheduling. In addition, the system throughput and turnaround time are not adversely affected by this strategy. 10 refs., 8 figs., 1 tab.

Seager, M.K.; Stichnoth, J.M.

1989-09-19T23:59:59.000Z

458

THERM 5 / WINDOW 5 NFRC simulation manual  

SciTech Connect

This document, the ''THERM 5/WINDOW 5 NFRC Simulation Manual', discusses how to use the THERM and WINDOW programs to model products for NFRC certified simulations and assumes that the user is already familiar with those programs. In order to learn how to use these programs, it is necessary to become familiar with the material in both the ''THERM User's Manual'' and the ''WINDOW User's Manual''. In general, this manual references the User's Manuals rather than repeating the information. If there is a conflict between either of the User Manual and this ''THERM 5/''WINDOW 5 NFRC Simulation Manual'', the ''THERM 5/WINDOW 5 NFRC Simulation Manual'' takes precedence. In addition, if this manual is in conflict with any NFRC standards, the standards take precedence. For example, if samples in this manual do not follow the current taping and testing NFRC standards, the standards not the samples in this manual, take precedence.

Mitchell, Robin; Kohler, Christian; Arasteh, Dariush; Carmody, John; Huizenga, Charlie; Curcija, Dragan

2003-06-01T23:59:59.000Z

459

Efficient classical simulation of spin networks  

E-Print Network (OSTI)

In general, quantum systems are believed to be exponentially hard to simulate using classical computers. It is in these hard cases where we hope to find quantum algorithms that provide speed up over classical algorithms. ...

Sylvester, Igor Andrade

2006-01-01T23:59:59.000Z

460

Climate Model for Winter Wheat Yield Simulation  

Science Conference Proceedings (OSTI)

Winter wheat yields were simulated by a model requiring climatic data as input for estimating crop evapotranspiration and phenological development. An assumed relationship between the winter wheat yields and the amount and timing of crop water ...

Kenneth G. Hubbard; R. J. Hanks

1983-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Downscaling of Seasonal Precipitation for Crop Simulation  

Science Conference Proceedings (OSTI)

A nonhomogeneous hidden Markov model (NHMM) is used to make stochastic simulations of MarchAugust daily rainfall at 10 stations over the southeastern United States, 192398. Station-averaged observed daily rainfall amount is prescribed as an ...

Andrew W. Robertson; Amor V. M. Ines; James W. Hansen

2007-06-01T23:59:59.000Z

462

Simulation Research for Low Energy Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

90-4133 Seminar HostPoint of Contact: David Lorenzetti Buildings consume 40% of primary energy in the U.S. This seminar introduces our research in simulation tools for...

463

Power electronics system modeling and simulation  

SciTech Connect

This paper introduces control system design based softwares, SIMNON and MATLAB/SIMULINK, for power electronics system simulation. A complete power electronics system typically consists of a rectifier bridge along with its smoothing capacitor, an inverter, and a motor. The system components, featuring discrete or continuous, linear or nonlinear, are modeled in mathematical equations. Inverter control methods,such as pulse-width-modulation and hysteresis current control, are expressed in either computer algorithms or digital circuits. After describing component models and control methods, computer programs are then developed for complete systems simulation. Simulation results are mainly used for studying system performances, such as input and output current harmonics, torque ripples, and speed responses. Key computer programs and simulation results are demonstrated for educational purposes.

Lai, Jih-Sheng

1994-12-31T23:59:59.000Z

464

Research Statement: Multiresolution in Graphics and Simulation  

E-Print Network (OSTI)

Introduction and Summary The primary goal of my research is to develop simple computational models for simulating the behavior of physical systems. I draw on ideas from graphics, applied mathematics, di#erential geometry, and engineering. My research shows that simple approaches need not sacrifice accuracy or performance. Simple approaches lead to more insight, wider adoption by the scientific computing community, and the opportunity to pursue more ambitious applications to mechanical engineering, medicine, biology, and computer graphics. With this philosophy in mind I am focusing on two key aspects of simulation. First, to improve scalability of simulators with respect to large datasets and high geometric complexity, I am developing a framework for adaptive multiresolution simulation. Second, I am developing discrete models: geometric descriptions of physical phenomena distilled into their most fundamental form. Figure 1: Example applications which benefit from our multiresolution s

Eitan Grinspun

2004-01-01T23:59:59.000Z

465

Active control for turbulent premixed flame simulations  

E-Print Network (OSTI)

Poinsot, T. J. , Combust. Flame, 121:395417 [8] Trouve, A.Rutland, C. J. , Combust. Flame, 102:447461 (1995). [10]Control for Turbulent Premixed Flame Simulations J. B. Bell,

Bell, John B.; Day, Marcus S.; Grcar, Joseph F.; Lijewski, Michael J.

2004-01-01T23:59:59.000Z

466

PLATO: a new piecewise linear simulation tool  

Science Conference Proceedings (OSTI)

This paper describes the basic concepts of a new piecewise linear circuit simulation program called PLATO. Piecewise linear modeling is a very generic and powerful approach to the modeling of electronic components. It allows for the use of macro modeling ...

M. T. van Stiphout; J. T. J. van Eijndhoven; H. W. Buurman

1990-03-01T23:59:59.000Z

467

Verification and validation of simulation models  

Science Conference Proceedings (OSTI)

In this paper we discuss verification and validation of simulation models. Four different approaches to deciding model validity are described; two different paradigms that relate verification and validation to the model development process are presented; ...

Robert G. Sargent

2009-12-01T23:59:59.000Z

468

FUEL ASSEMBLY SHAKER TEST SIMULATION  

SciTech Connect

This report describes the modeling of a PWR fuel assembly under dynamic shock loading in support of the Sandia National Laboratories (SNL) shaker test campaign. The focus of the test campaign is on evaluating the response of used fuel to shock and vibration loads that a can occur during highway transport. Modeling began in 2012 using an LS-DYNA fuel assembly model that was first created for modeling impact scenarios. SNLs proposed test scenario was simulated through analysis and the calculated results helped guide the instrumentation and other aspects of the testing. During FY 2013, the fuel assembly model was refined to better represent the test surrogate. Analysis of the proposed loads suggested the frequency band needed to be lowered to attempt to excite the lower natural frequencies of the fuel assembly. Despite SNLs expansion of lower frequency components in their five shock realizations, pretest predictions suggested a very mild dynamic response to the test loading. After testing was completed, one specific shock case was modeled, using recorded accelerometer data to excite the model. Direct comparison of predicted strain in the cladding was made to the recorded strain gauge data. The magnitude of both sets of strain (calculated and recorded) are very low, compared to the expected yield strength of the Zircaloy-4 material. The model was accurate enough to predict that no yielding of the cladding was expected, but its precision at predicting micro strains is questionable. The SNL test data offers some opportunity for validation of the finite element model, but the specific loading conditions of the testing only excite the fuel assembly to respond in a limited manner. For example, the test accelerations were not strong enough to substantially drive the fuel assembly out of contact with the basket. Under this test scenario, the fuel assembly model does a reasonable job of approximating actual fuel assembly response, a claim that can be verified through direct comparison of model results to recorded test results. This does not offer validation for the fuel assembly model in all conceivable cases, such as high kinetic energy shock cases where the fuel assembly might lift off the basket floor to strike to basket ceiling. This type of nonlinear behavior was not witnessed in testing, so the model does not have test data to be validated against.a basis for validation in cases that substantially alter the fuel assembly response range. This leads to a gap in knowledge that is identified through this modeling study. The SNL shaker testing loaded a surrogate fuel assembly with a certain set of artificially-generated time histories. One thing all the shock cases had in common was an elimination of low frequency components, which reduces the rigid body dynamic response of the system. It is not known if the SNL test cases effectively bound all highway transportation scenarios, or if significantly greater rigid body motion than was tested is credible. This knowledge gap could be filled through modeling the vehicle dynamics of a used fuel conveyance, or by collecting acceleration time history data from an actual conveyance under highway conditions.

Klymyshyn, Nicholas A.; Sanborn, Scott E.; Adkins, Harold E.; Hanson, Brady D.

2013-05-30T23:59:59.000Z

469

Novel Simulated moving bed technologies  

DOE Green Energy (OSTI)

Cellulose and hemicellulose from plants and other biomass can be hydrolyzed to produce sugars (i.e. glucose and xylose). Once these sugars are separated from other impurities, they can serve as feedstock in fermentation to produce ethanol (as fuels), lactic acid, or other valuable chemicals. The need for producing fuels and chemicals from renewable biomass has become abundantly clear over the last decade. However, the cost of producing fermentable sugars from biomass hydrolyzate using existing technology is relatively high and has been a major obstacle. The objective of this project is to develop an efficient and economical simulated moving bed (SMB) process to recover fermentable sugars from biomass hydrolyzate. Sulfuric acid can hydrolyze the cellulose and hemicellulose in biomass to sugars, but this process can generate byproducts such as acetic acid, and can lead to further degradation of the xylose to furfural and glucose to hydroxymethyl furfural (HMF). Also, lignin and other compounds in the biomass will degrade to various phenolic compounds. If the concentrations of these compounds exceed certain threshold levels, they will be toxic to the downstream fermentation, and will severely limit the usefulness of the derived sugars. Standard post-hydrolysis processing involves neutralization of sulfuric acid, usually with lime (calcium hydroxide). A study by Wooley et al.showed that the limed hydrolyzate gave a low ethanol yield in fermentation test (20% of theoretical yield compared to 77% of theoretical yield from fermentation of pure sugars). They showed that instead of adding lime, an ion exclusion chromatography process could be used to remove acids, as well as to isolate the sugars from the biomass hydrolyzate. In this project, we investigated the feasibility of developing an economical SMB process based on (1) a polymeric adsorbent, Dowex99, which was used by Wooley et al., (2) a second polymeric adsorbent, poly-4-vinyl pyridine (or PVP in short, Reilly Industries Inc., Indianapolis, IN), which has been used for organic acid separations, and (3) an activated carbon adsorbent. The adsorption isotherms and mass transfer parameters of the two polymeric adsorbents were estimated using single-component pulse tests and frontal tests. The parameters were then validated using batch elution chromatography test of a corn-stover hydrolyzate, which was provided gratis by NREL. The sugars recovered in batch chromatography were then fermented using yeast developed at Dr. Ho's LORRE laboratory. A standard mixture of pure sugars and an overlimed corn-stover hydrolyzate were fermented using the same procedure simultaneously. The fermentability of the overlimed hydrolyzate was the worst, and that of the sugars recovered using the PVP column was similar to that of the pure sugar mixture. The sugars recovered using the Dowex99 column had an intermediate fermentability. Since the sugars were the ''center cut'' in the Dowex99 column, a tandem SMB (two SMB's in series) design was needed to obtain sugars of high purity. By contrast, sugars were the fast-moving components in the PVP column, and only a single SMB was needed to recover sugars from the hydrolyzate. The impurities, such as sulfuric acid, acetic acid, HMF, and furfural, had higher affinities for PVP. Caustic regeneration was needed to efficiently remove these impurities from PVP. Therefore, a five-zone SMB, which includes a regeneration zone and a reequilibration zone, was developed. The isotherms and mass transfer parameters estimated from batch chromatography experiments were used in the design of SMB processes. A Standing Wave Design method was developed for the five-zone SMB and the tandem SMB. Cost analysis was carried out based on the resulting operating conditions. The analysis showed that the PVP five-zone SMB process was more economical than the Dowex99 tandem SMB process. The cost analysis also showed that elution and equipment costs are dominant for the Dowex99 SMB and the regeneration cost is dominant (60%) for the PVPSMB. Both the cost analysis and the fermentatio

Purdue University

2003-12-30T23:59:59.000Z

470

Simulation of dose reduction in tomosynthesis  

Science Conference Proceedings (OSTI)

Purpose: Methods for simulating dose reduction are valuable tools in the work of optimizing radiographic examinations. Using such methods, clinical images can be simulated to have been collected at other, lower, dose levels without the need of additional patient exposure. A recent technology introduced to healthcare that needs optimization is tomosynthesis, where a number of low-dose projection images collected at different angles is used to reconstruct section images of an imaged object. The aim of the present work was to develop a method of simulating dose reduction for digital radiographic systems, suitable for tomosynthesis. Methods: The developed method uses information about the noise power spectrum (NPS) at the original dose level and the simulated dose level to create a noise image that is added to the original image to produce an image that has the same noise properties as an image actually collected at the simulated dose level. As the detective quantum efficiency (DQE) of digital detectors operating at the low dose levels used for tomosynthesis may show a strong dependency on the dose level, it is important that a method for simulating dose reduction for tomosynthesis takes this dependency into account. By applying an experimentally determined relationship between pixel mean and pixel variance, variations in both dose and DQE in relevant dose ranges are taken into account. Results: The developed method was tested on a chest tomosynthesis system and was shown to produce NPS of simulated dose-reduced projection images that agreed well with the NPS of images actually collected at the simulated dose level. The simulated dose reduction method was also applied to tomosynthesis examinations of an anthropomorphic chest phantom, and the obtained noise in the reconstructed section images was very similar to that of an examination actually performed at the simulated dose level. Conclusions: In conclusion, the present article describes a method for simulating dose reduction suitable for tomosynthesis. However, the method applies equally well to any digital radiographic system, although the benefits of correcting for DQE variations may be smaller.

Svalkvist, Angelica; Baath, Magnus [Department of Radiation Physics, University of Gothenburg, SE-413 45 Gothenburg (Sweden) and Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, SE-413 45 Gothenburg (Sweden)

2010-01-15T23:59:59.000Z

471

A multi-feedzone wellbore simulator  

DOE Green Energy (OSTI)

A multi-feedzone wellbore simulator has been developed. This computer code is quite general as it enables one to compute downhole conditions in wells with an arbitrary number of feedzones during discharge or injection. The simulator is applied to flowing pressure and temperature surveys from various wells in Mexico, Iceland and Kenya. It is demonstrated that such a model can be used to estimate flow rates and enthalpies of individual feedzones.

Bjornsson, G.; Bodvarsson, G.S.

1987-06-01T23:59:59.000Z

472

PV array simulator development and validation.  

Science Conference Proceedings (OSTI)

The ability to harvest all available energy from a photovoltaic (PV) array is essential if new system developments are to meet levelized cost of energy targets and achieve grid parity with conventional centralized utility power. Therefore, exercising maximum power point tracking (MPPT) algorithms, dynamic irradiance condition operation and startup and shutdown routines and evaluating inverter performance with various PV module fill-factor characteristics must be performed with a repeatable, reliable PV source. Sandia National Laboratories is collaborating with Ametek Programmable Power to develop and demonstrate a multi-port TerraSAS PV array simulator. The simulator will replicate challenging PV module profiles, enabling the evaluation of inverter performance through analyses of the parameters listed above. Energy harvest algorithms have traditionally implemented methods that successfully utilize available energy. However, the quantification of energy capture has always been difficult to conduct, specifically when characterizing the inverter performance under non-reproducible dynamic irradiance conditions. Theoretical models of the MPPT algorithms can simulate capture effectiveness, but full validation requires a DC source with representative field effects. The DC source being developed by Ametek and validated by Sandia is a fully integrated system that can simulate an IV curve from the Solar Advisor Model (SAM) module data base. The PV simulator allows the user to change the fill factor by programming the maximum power point voltage and current parameters and the open circuit voltage and short circuit current. The integrated PV simulator can incorporate captured irradiance and module temperature data files for playback, and scripted profiles can be generated to validate new emerging hardware embedded with existing and evolving MPPT algorithms. Since the simulator has multiple independent outputs, it also has the flexibility to evaluate an inverter with multiple MPPT DC inputs. The flexibility of the PV simulator enables the validation of the inverter's capability to handle vastly different array configurations.

Kuszmaul, Scott S.; Gonzalez, Sigifredo; Lucca, Roberto (Ametek Programmable Power, San Diego, CA); Deuel, Don (Ametek Programmable Power, San Diego, CA)

2010-06-01T23:59:59.000Z

473

Understanding enzyme catalysis using computer simulation  

SciTech Connect

Enzymes catalyze biochemical reactions with remarkable specificity and efficiency, usually under physiological conditions. Computer simulation is a powerful tool for understanding enzyme catalytic mechanisms, particularly in cases where standard experimental techniques may be of limited utility. Here, we present an overview of the application of computer simulation techniques to understanding enzyme catalytic mechanisms. Examples using quantum chemical methods, as well as combined quantum mechanical/classical mechanical approaches, are provided.

Parks, Jerry M [ORNL; Imhof, Petra [ORNL; Smith, Jeremy C [ORNL

2010-01-01T23:59:59.000Z

474

Numerical techniques of rigid body simulation  

E-Print Network (OSTI)

In recent years, the modeling of physical phenomena has become an integral part of computer applications in diverse areas from engineering to entertainment. This thesis focuses on a particular aspect of this modeling, the simulation of rigid bodies. Complicated simulations require the development of sophisticated collision detection systems and numerical techniques. Previous work in the field has almost exclusively been restricted to geometries that are convex or a union of convex pieces. One of the goals of this thesis is overcoming this restriction. Collision detection is only one of the many hurdles which arise in simulating collisions between rigid bodies. To calculate the appropriate response of colliding bodies, the point of contact between the bodies must be determined. Methods of contact point determination will also be discussed. This thesis also explores the issues of resolving simultaneous collisions and resting contact via the formulation of a linear complementarity problem (LCP). This method maintains the physical validity of the simulator, unlike penalty methods which are often used. Impulse based methods for resting contacts have been proposed and implemented by others, but cannot simulate simple structures, such as a stack of blocks. The LCP formulation allows these types of configurations, which are successfully simulated in this thesis. The culmination of this thesis is the development of a rigid body simulator. The numerical methods and algorithms employed are discussed and are compared to alternative techniques. The intention is that the reader use this thesis and its references to ease the process of writing a new simulator and gain insight into the methods used.

Eberle, David Michael

2001-01-01T23:59:59.000Z

475

3D visualization of port simulation.  

SciTech Connect

Affordable and realistic three dimensional visualization technology can be applied to large scale constructive simulations such as the port simulation model, PORTSIM. These visualization tools enhance the experienced planner's ability to form mental models of how seaport operations will unfold when the simulation model is implemented and executed. They also offer unique opportunities to train new planners not only in the use of the simulation model but on the layout and design of seaports. Simulation visualization capabilities are enhanced by borrowing from work on interface design, camera control, and data presentation. Using selective fidelity, the designers of these visualization systems can reduce their time and efforts by concentrating on those features which yield the most value for their simulation. Offering the user various observational tools allows the freedom to simply watch or engage in the simulation without getting lost. Identifying the underlying infrastructure or cargo items with labels can provide useful information at the risk of some visual clutter. The PortVis visualization expands the PORTSIM user base which can benefit from the results provided by this capability, especially in strategic planning, mission rehearsal, and training. Strategic planners will immediately reap the benefits of seeing the impact of increased throughput visually without keeping track of statistical data. Mission rehearsal and training users will have an effective training tool to supplement their operational training exercises which are limited in number because of their high costs. Having another effective training modality in this visualization system allows more training to take place and more personnel to gain an understanding of seaport operations. This simulation and visualization training can be accomplished at lower cost than would be possible for the operational training exercises alone. The application of PORTSIM and PortVis will lead to more efficient planning overall and ultimately increase port utilization and throughput, decreasing the amount of time required to transport cargo from its origin to its final destination.

Horsthemke, W. H.; Macal, C. M.; Nevins, M. R.

1999-06-14T23:59:59.000Z

476

Tankathon-A Process Plant Simulation  

E-Print Network (OSTI)

Tankathon is a simulation of a process plant in a computer generated environment. Interaction and control in three dimensional control systems are studied. The simulated "process" consists of seven tanks containing a "liquid" flowing from tanks to tanks. The goal of the "plant manager", the user, is to keep the tanks from draining or overflowing. The user can interact with valves in the pipes connecting the tanks in order to regulate the liquid flow and check the flow rate.

Kai-Mikael J-Aro

1992-01-01T23:59:59.000Z

477

More Issues of Building Energy Simulation  

E-Print Network (OSTI)

The paper investigates the development of building energy simulation software. It is shown that such applications can be used for energy forecasting, system design and operations, and energy evaluation. Several energy simulation methods are analyzed and compared, and the predominance of the Z-transfer function method is indicated on dynamic calculation of energy consumption of heating and air-conditioning systems. The paper discusses the means to deal with several complex problems, such as thermal bridge, external sunshade, and meteorological data.

Kang, Z.; Zhao, J.

2006-01-01T23:59:59.000Z

478

Dynamic simulation recalls condensate piping event  

Science Conference Proceedings (OSTI)

This article describes how experience gained from simulating and reconstructing a condensate piping event will be used by Consolidated Edison to analyze control system problems. A cooperative effort by Con Edison and the Chemical Engineering Department at Polytechnic University used modular modeling system to investigate the probable cause of a Con Edison condensate piping event. Con Edison commissioned the work to serve as a case study for the more general problem of control systems analysis using dynamic simulation and MMS.

Farrell, R.J.; Reneberg, K.O. (Polytechnic Univ., Brooklyn, NY (United States)); Moy, H.C. (Consolidated Edison Co., New York, NY (United States))

1994-05-01T23:59:59.000Z

479

International comparison of passive solar simulation codes  

DOE Green Energy (OSTI)

Two software-software comparisons of passive solar simulation codes have been conducted by the Passive Solar Applications Group of the Committee on the Challenges to Modern Society. These exercises have involved the simulation of hypothetical Trombe wall and direct gain buildings located in Madison, Wisconsin. The countries that have participated in the exercise include Canada, Denmark, France, and the United States. All results available at the time of writing are discussed in this report.

Wray, W.O.

1980-01-01T23:59:59.000Z

480

Development Plan for the Fuel Cycle Simulator  

Science Conference Proceedings (OSTI)

The Fuel Cycle Simulator (FCS) project was initiated late in FY-10 as the activity to develop a next generation fuel cycle dynamic analysis tool for achieving the Systems Analysis Campaign 'Grand Challenge.' This challenge, as documented in the Campaign Implementation Plan, is to: 'Develop a fuel cycle simulator as part of a suite of tools to support decision-making, communication, and education, that synthesizes and visually explains the multiple attributes of potential fuel cycles.'

Brent Dixon

2011-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "uni-directional simulated beach" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Finite element simulation of microphotonic lasing system  

SciTech Connect

We present a method for performing time domain simulations of a microphotonic system containing a four level gain medium based on the finite element method. This method includes an approximation that involves expanding the pump and probe electromagnetic fields around their respective carrier frequencies, providing a dramatic speedup of the time evolution. Finally, we present a two dimensional example of this model, simulating a cylindrical spaser array consisting of a four level gain medium inside of a metal shell.

Fietz, Chris; Soukoulis, Costas M.

2012-05-04T23:59:59.000Z

482

TEST & MOTION SIMULATION SYSTEMSSERVOTEST Tailored Solutions For Your Servohydraulic  

E-Print Network (OSTI)

TEST & MOTION SIMULATION SYSTEMSSERVOTEST SERVOTEST ACTUATORS Tailored Solutions For Your Servohydraulic Test And Motion Simulation System Requirements #12;TEST & MOTION SIMULATION SYSTEMSSERVOTEST qualified engineers · Founded in 1958 as a Consultancy to service the growing test market · International

483

Skill, Correction, and Downscaling of GCM-Simulated Precipitation  

Science Conference Proceedings (OSTI)

The ability of general circulation models (GCMs) to correctly simulate precipitation is usually assessed by comparing simulated mean precipitation with observed climatologies. However, to what extent the skill in simulating average precipitation ...

Jonathan M. Eden; Martin Widmann; David Grawe; Sebastian Rast

2012-06-01T23:59:59.000Z

484

Simulating Upwelling in a Large Lake Using Slippery Sacks  

Science Conference Proceedings (OSTI)

A Lagrangian numerical model is used to simulate upwelling in an idealized large lake. This simulation is carried out to test the model's potential for simulating lake and ocean circulations.

Patrick T. Haertel; David A. Randall; Tommy G. Jensen

2004-01-01T23:59:59.000Z

485

Materialized community ground models for large-scale earthquake simulation  

Science Conference Proceedings (OSTI)

Large-scale earthquake simulation requires source datasets which describe the highly heterogeneous physical characteristics of the earth in the region under simulation. Physical characteristic datasets are the first stage in a simulation pipeline which ...

Steven W. Schlosser; Michael P. Ryan; Ricardo Taborda; Julio Lpez; David R. O'Hallaron; Jacobo Bielak

2008-11-01T23:59:59.000Z

486

Advanced concepts in large-scale network simulation  

Science Conference Proceedings (OSTI)

This tutorial paper reviews existing concepts and future directions in selected areas related to simulation of large-scale networks. It covers specifically topics in traffic modeling, simulation of routing, network emulation, and real-time simulation.

David M. Nicol; Michael Liljenstam; Jason Liu

2005-12-01T23:59:59.000Z

487

Analysis of multi-domain complex simulation studies  

Science Conference Proceedings (OSTI)

Complex simulations are increasingly important in systems analysis and design. In some cases simulations can be exhaustively validated against experiment and taken to be implicitly accurate. However, in domains where only limited validation of the simulations ...

James R. Gattiker; Earl Lawrence; David Higdon

2006-05-01T23:59:59.000Z

488

Advanced wellbore thermal simulator GEOTEMP2 research report  

DOE Green Energy (OSTI)

The development of the GEOTEMP2 wellbore thermal simulator is described. The major technical features include a general purpose air and mist drilling simulator and a two-phase steam flow simulator that can model either injection or production.

Mitchell, R.F.

1982-02-01T23:59:59.000Z

489

Accelerating Spatially Explicit Simulations of Spread of Lyme Disease  

Science Conference Proceedings (OSTI)

The factors influencing spread of Lyme disease are often studied using computer-based simulations and spatially explicit models. However, simulating large and complex models is a time consuming task, even when parallel simulation techniques are employed. ...

Dhananjai M. Rao; Philip A. Wilsey

2005-04-01T23:59:59.000Z

490

Proceedings of the 40th Conference on Winter Simulation  

Science Conference Proceedings (OSTI)

The Winter Simulation Conference (WSC) is recognized as the premiere international conference for simulation professionals in discrete and combined discrete-continuous simulation. WSC is always located in stimulating locations, and in 2008 we are delighted ...

Thomas Jefferson; John W. Fowler; Ricki G. Ingalls; Scott Mason; Ray Hill; Lars Mnch; Oliver Rose

2008-12-01T23:59:59.000Z

491

Proceedings of the 38th conference on Winter simulation  

Science Conference Proceedings (OSTI)

The Winter Simulation Conference (WSC) is recognized as the premiere international conference for simulation professionals in discrete and combined discrete-continuous simulation; WSC is always located in stimulating locations, in 2006 we are delighted ...

L. Felipe Perrone; Barry G. Lawson; Jason Liu; Frederick P. Wieland; David Nicol; Richard Fujimoto

2006-12-01T23:59:59.000Z

492

The Potential Predictability in a 14-Year GCM Simulation  

Science Conference Proceedings (OSTI)

A 14-yr simulation of a GCM forced by observed SST and sea ice is compared with observations as well as a GCM simulation that used climatological surface conditions. The low frequency (periods > 2 months) behavior in both simulations and ...

Wesley Ebisuzaki

1995-11-01T23:59:59.000Z

493

Modeling ground soldier situational awareness for constructive simulation with rules  

Science Conference Proceedings (OSTI)

The behavior models that control simulated warfighters in most modeling and simulation (M&S) efforts are fairly simple, relying predominantly on behavior scripting and simple rules to produce actions. As a result, the simulated entities do not reflect ...

Scott Neal Reilly; James Niehaus; Peter Weyhrauch

2010-12-01T23:59:59.000Z

494

Programmable quantum simulation by dynamic Hamiltonian engineering  

E-Print Network (OSTI)

Quantum simulation is a promising near term application for mesoscale quantum information processors, with the potential to solve computationally intractable problems at the scale of just a few dozen interacting quantum systems. Recent experiments in a range of technical platforms have demonstrated the basic functionality of quantum simulation applied to quantum magnetism, quantum phase transitions, and relativistic quantum mechanics. In all cases, the underlying hardware platforms restrict the achievable inter-particle interaction, forming a serious constraint on the ability to realize a versatile, programmable, quantum simulator. In this work, we address this problem by developing novel sequences of unitary operations that engineer desired effective Hamiltonians in the time-domain. The result is a hybrid programmable analog simulator permitting a broad class of interacting spin-lattice models to be generated starting only with an arbitrary native inter-particle interaction and single-qubit addressing. Building on previous work proving that universal simulation is possible using both entangling gates and single-qubit unitaries, we show how determining the relevant hardware "program" of unitary pulses to implement an arbitrary spin Hamiltonian on such a simulator can be formulated as a linear program that runs in polynomial time and scales efficiently in hardware resources. Our analysis extends from circuit model quantum information to adiabatic quantum evolutions, where our approach allows for the creation of non-native ground state solutions to a computation.

David L. Hayes; Steven T. Flammia; Michael J. Biercuk

2013-09-26T23:59:59.000Z

495

The Philosophy and Epistemology of Simulation: A Review  

Science Conference Proceedings (OSTI)

The philosophical literature on simulations has increased dramatically during the past 40 years. Many of its main topics are epistemological. For example, philosophers consider how the results of simulations help explain natural phenomena. This essay??s ... Keywords: Monte Carlo simulation, Nash equilibrium, agent-based simulation, analytic solution, cellular automaton, computation, equation-based simulation, experiment, explanation, model, partial explanation, policy formation, potential explanation, prediction, proof, replicator dynamics, representation, robustness, simulation, theory

Till Grne-Yanoff; Paul Weirich

2010-02-01T23:59:59.000Z

496

A New Method for Treating Wells in Reservoir Simulation.  

E-Print Network (OSTI)

??A new method for formulating finite difference equations for reservoir simulation has been developed. It can be applied throughout the entire simulated reservoir or to (more)

Gessel, Gregory M 1980-

2007-01-01T23:59:59.000Z

497

Particle Tracking and Simulation on the .NET Framework  

E-Print Network (OSTI)

to EPAC 2006 PARTICLE TRACKING AND SIMULATION ON THE .NET94720, USA Abstract Particle tracking and simulation studieswas measured using three tracking programs on a simplified

Nishimura, Hiroshi; Scarvie, Tom

2006-01-01T23:59:59.000Z

498

Most Cited Papers, Journal of Building Performance Simulation  

NLE Websites -- All DOE Office Websites (Extended Search)

Most Cited Papers, Journal of Building Performance Simulation September 18, 2013 Michael Wetter The Department of Energy-funded scientific paper "Co-simulation of building energy...

499

Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

and Simulation (NEAMS) Software Verification and Validation (V&V) Plan Requirements Nuclear Energy Advanced Modeling and Simulation (NEAMS) Software Verification and...

500

Co-simulation of innovative integrated HVAC systems in buildings  

E-Print Network (OSTI)

Canada: International Building Perfor- mance SimulationExternal coupling between building energy simulation andexternal coupling of building energy and air ow modeling

Trcka, Marija

2010-01-01T23:59:59.000Z