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Note: This page contains sample records for the topic "beach harbors model" from the National Library of EnergyBeta (NLEBeta).
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1

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

2

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

3

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

4

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 +

5

Modeling the Variability of Sydney Harbor Wind Measurements  

Science Conference Proceedings (OSTI)

The time-dependent behavior in the variability of wind measurements is investigated using bivariate generalized autoregressive conditional heteroscedastic models. These models express the current level of short-timescale wind variability in terms ...

Edward Cripps; William T. M. Dunsmuir

2003-08-01T23:59:59.000Z

6

Harboring chaos  

E-Print Network (OSTI)

Hurricane shelters have become the unknown point of last resort for many coastal communities. Harboring displaced populations during a hurricane and it's chaotic aftermath are no longer seen as a need in a coastal communities ...

Anderson, Jeffrey A. (Jeffrey Arthur)

2007-01-01T23:59:59.000Z

7

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

8

Presence of harbor porpoises near a pile driving site and modeling of cumulative acoustic effects.  

Science Conference Proceedings (OSTI)

The construction of the a small wind farm in the southern North Sea has just been completed. Possible effects on harbor porpoise (Phocoena phocoena) distribution and habitat use caused by the pile driving impulses emitted during the installation of the foundations for 12 offshore wind turbines (OWTs) were assessed by ship surveys

Klaus Lucke; Paul. A. Lepper; Michael Daehne; Ursula Siebert

2011-01-01T23:59:59.000Z

9

A non-invasive approach to study lifetime exposure and bioaccumulation of PCBs in protected marine mammals: PBPK modeling in harbor porpoises  

Science Conference Proceedings (OSTI)

In the last decade, physiologically based pharmacokinetic (PBPK) models have increasingly been developed to explain the kinetics of environmental pollutants in wildlife. For marine mammals specifically, these models provide a new, non-destructive tool that enables the integration of biomonitoring activities and in vitro studies. The goals of the present study were firstly to develop PBPK models for several environmental relevant PCB congeners in harbor porpoises (Phocoena phocoena), a species that is sensitive to pollution because of its limited metabolic capacity for pollutant transformation. These models were tested using tissue data of porpoises from the Black Sea. Secondly, the predictive power of the models was investigated for time trends in the PCB concentrations in North Sea harbor porpoises between 1990 and 2008. Thirdly, attempts were made to assess metabolic capacities of harbor porpoises for the investigated PCBs. In general, results show that parameter values from other species (rodents, humans) are not always suitable in marine mammal models, most probably due to differences in physiology and exposure. The PCB 149 levels decrease the fastest in male harbor porpoises from the North Sea in a time period of 18 years, whereas the PCB 101 levels decrease the slowest. According to the models, metabolic breakdown of PCB 118 is probably of lesser importance compared to other elimination pathways. For PCB 101 and 149 however, the presence of their metabolites can be attributed to bioaccumulation of metabolites from the prey and to metabolic breakdown of the parent compounds in the harbor porpoises. - Highlights: > PBPK modeling was used to study the kinetics of several PCBs in a marine mammal. > Harbor porpoises are sensitive to pollution and therefore ideal model organisms. > Black Sea data were used for parameterization. > North Sea data for assessing temporal trends (1990-2008). > PBPK modeling is a non-invasive and non-destructive tool.

Weijs, Liesbeth, E-mail: liesbeth.weijs@ua.ac.be [Laboratory for Ecophysiology, Biochemistry and Toxicology, Department of Biology, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp (Belgium); Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk (Belgium); Covaci, Adrian [Laboratory for Ecophysiology, Biochemistry and Toxicology, Department of Biology, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp (Belgium); Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk (Belgium); Yang, Raymond S.H. [Quantitative and Computational Toxicology Group, Department of Environmental and Radiological Health Sciences, Colorado State University, 1680 Campus Delivery, Fort Collins, CO 80523 (United States); Das, Krishna [Laboratory for Oceanology-MARE Center, University of Liege, 4000 Liege (Belgium); Blust, Ronny [Laboratory for Ecophysiology, Biochemistry and Toxicology, Department of Biology, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp (Belgium)

2011-10-15T23:59:59.000Z

10

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

11

Proceedings of the Predator-Prey Modeling Workshop : Workshop Proceedings May 16-19, 1989, University of Washington Friday Harbor Laboratory in Friday Harbor, Washington.  

SciTech Connect

This report summarizes the results of a workshop held to receive expert advice and review existing Columbia River models that include juvenile salmonid predation components and, if warranted, recommend alternate modeling approaches. The workshop was limited to models or modeling approaches that may have practical application to the specific problems of increasing survival of juvenile salmonids in the Columbia and Snake rivers by reducing predation losses. The US Fish and Wildlife Service (FWS) and the Oregon Department of Fish and Wildlife (ODFW) under interagency agreements with the Bonneville Power Administration (BPA) conducted a multi-year study of the impact of predator populations on juvenile salmonids in the John Day Reservoir of the Columbia River. The studies were part of BPA's implementation of the Northwest Power Planning Council's (NPPC) Fish and Wildlife Program, designed to protect and enhance production of salmon as mitigation for losses caused by hydroelectric development. The FWS agreement with BPA includes provisions for refinement or development of models to understand the dynamics of predation on juvenile salmon as a basis for considering active intervention to reduce predation losses. The BPA sponsored the workshop that included a review of existing and proposed modeling approaches, identification of model development needs, and identification of data needs to support modeling efforts. Pacific Northwest Laboratory (PNL) provided workshop design, facilitation, and support services including preparation of this summary. 16 refs., 15 figs., 5 tabs.

Fickeisen, Duane H.; Dauble, Dennis D.; Neitzel, D.A.

1989-09-01T23:59:59.000Z

12

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

13

Toward autonomous harbor surveillance  

E-Print Network (OSTI)

In this thesis we address the problem of drift-free navigation for underwater vehicles performing harbor surveillance and ship hull inspection. Maintaining accurate localization for the duration of a mission is important ...

Johannsson, Hordur

2010-01-01T23:59:59.000Z

14

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

15

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

16

Rock Harbor UNITED STATES  

E-Print Network (OSTI)

Passage Conglomerate Bay Five Finger Bay Lane Cove Stockly Bay Lake Ojibway Siskiwit River Creek Little River Washington Moskey M cCargoe Cove Robinson Bay Amygdaloid Channel Pickerel Cove Chippewa Harbor Crystal Cove Belle Isle Canoe Rocks Caribou Island Saginaw Point Tookers Island The Palisades Raspberry

17

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

18

Harbor Wind | Open Energy Information  

Open Energy Info (EERE)

Harbor Wind Harbor Wind Facility Harbor Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Harbor Wind LLC Developer Revolution Energy Location Corpus Christi TX Coordinates 27.83061326°, -97.43418217° 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":27.83061326,"lon":-97.43418217,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

19

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

20

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.

Note: This page contains sample records for the topic "beach harbors model" 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

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

22

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...

23

Navigable Waters, Harbors and Navigation (Wisconsin)  

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

This statute details regulations relevant to navigable waterways and harbors. Depending on the project design of a proposed dam or hydropower structure, some of these regulations may apply.

24

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

25

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":""}]}

26

Safe Harbor Water Power Corp | Open Energy Information  

Open Energy Info (EERE)

Harbor Water Power Corp Jump to: navigation, search Name Safe Harbor Water Power Corp Place Pennsylvania Utility Id 16537 Utility Location Yes Ownership I NERC Location RFC NERC...

27

Grays Harbor Demonstration Project | Open Energy Information  

Open Energy Info (EERE)

Demonstration Project Demonstration Project Jump to: navigation, search Name Grays Harbor Demonstration Project Facility Grays Harbor Demonstration Project Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Grays Harbor Ocean Energy Company LLC Developer Grays Harbor Ocean Energy Company LLC Location Pacific Ocean Coordinates 46.858°, -124.187° 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":46.858,"lon":-124.187,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

28

Building Energy Audit Report for Pearl Harbor, HI  

Science Conference Proceedings (OSTI)

A building energy audit was performed by a team of engineers from Pacific Northwest National Laboratory (PNNL) under contract to the Department of Energy/Federal Energy Management Program (FEMP). The effort used the Facility Energy Decision System (FEDS) model to determine how energy is consumed at selected Pearl Harbor buildings, identify cost-effective energy retrofit measures, and calculate the potential energy and cost savings. This report documents the findings of that assessment.

Brown, Daryl R.; Chvala, William D.; De La Rosa, Marcus I.; Dixon, Douglas R.

2010-09-30T23:59:59.000Z

29

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

30

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

31

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 ...

32

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

33

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

34

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

35

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":""}]}

36

Old Harbor Scammon Bay Hydro Feasibility  

DOE Green Energy (OSTI)

The grantee, Alaska Village Electric Cooperative (AVEC), is a non-profit member owned rural electric generation and distribution cooperative. The proposed Project is located near the community of Old Harbor, Alaska. Old Harbor is on the southeastern coast of Kodiak Island, approximately 70 miles southwest of the City of Kodiak and 320 miles southwest of Anchorage. In 1998 sufficient information had been developed to apply for a license to construct the project and the cost was estimated to be $2,445,000 for a 500 KW project on Lagoon Creek. Major features of the project included an eight-foot high diversion dam on Mountain Creek, a desander box, a 9,800-foot long penstock to the powerhouse on Lagoon Creek, and a 5,500-foot long access road. It was also anticipated that the project could provide an additional source of water to Old Harbor. The report details the history and lessons learned in designing and permiting the proposed hydroelectric facility.

Brent Petrie

2007-06-27T23:59:59.000Z

37

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

38

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

39

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

40

Burns Harbor, Indiana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

with form History Share this page on Facebook icon Twitter icon Burns Harbor, Indiana: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates...

Note: This page contains sample records for the topic "beach harbors model" 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

Urban aerosols harbor diverse and dynamic bacterial populations  

Urban aerosols harbor diverse and dynamic bacterial populations Eoin L. Brodie, Todd Z. DeSantis, Jordan P. Moberg Parker, Ingrid X. Zubietta, Yvette M. Piceno, and ...

42

Grays Harbor PUD - Net Metering | Department of Energy  

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

Net Metering Net Metering Grays Harbor PUD - Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State District of Columbia Program Type Net Metering Provider Grays Harbor PUD Grays Harbor PUD's net-metering program differs slightly from what is required by Washington state law in that Grays Harbor PUD reimburses customers for net excess generation (NEG), at the end of each year, at 50% of the utility's retail rate. State law allows utilities to require customers to surrender NEG to the utility, without reimbursement, at the end of a 12-month billing cycle. Grays Harbor PUD has voluntarily gone

43

Grays Harbor PUD - Solar Water Heater Rebate | Department of Energy  

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

Grays Harbor PUD - Solar Water Heater Rebate Grays Harbor PUD - Solar Water Heater Rebate Grays Harbor PUD - Solar Water Heater Rebate < Back Eligibility Commercial Industrial Residential Savings Category Heating & Cooling Solar Water Heating Program Info State District of Columbia Program Type Utility Rebate Program Rebate Amount $600 Provider Grays Harbor PUD Since October 2001, Grays Harbor PUD has offered a rebate program for the installation of solar water heaters. Rebates of $600 are available for the installation of solar collectors of 40 square feet or more. Only customers who currently use electricity for hot water are eligible. This rebate is available on a case-by-case basis, so you must contact the utility in order to take advantage of it. Customers may choose a [http://dsireusa.org/incentives/incentive.cfm?Incentive_Code=WA09F&re=1&ee=1

44

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

45

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

46

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

47

Hawaii Department of Transportation Harbors Divsion | Open Energy  

Open Energy Info (EERE)

Harbors Divsion Harbors Divsion Jump to: navigation, search Name Hawaii Department of Transportation Harbors Division Address Hale Awa Ku Moku Building 79 South Nimitz Highway Place Honolulu, Hawaii Zip 96813 Website http://hawaii.gov/dot/harbors/ Coordinates 21.308487°, -157.864609° 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":21.308487,"lon":-157.864609,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

48

Imaging sonar-aided navigation for autonomous underwater harbor surveillance  

E-Print Network (OSTI)

In this paper we address the problem of drift-free navigation for underwater vehicles performing harbor surveillance and ship hull inspection. Maintaining accurate localization for the duration of a mission is important ...

Johannsson, Hordur

49

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

50

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

51

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

52

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

53

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":""}]}

54

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

55

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

56

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

57

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

58

Grays Harbor PUD - Residential Energy Efficiency Rebate Program |  

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

Grays Harbor PUD - Residential Energy Efficiency Rebate Program Grays Harbor PUD - Residential Energy Efficiency Rebate Program Grays Harbor PUD - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Sealing Your Home Ventilation Heat Pumps Water Heating Windows, Doors, & Skylights Program Info State District of Columbia Program Type Utility Rebate Program Rebate Amount Air Source Heat Pump: $700 Ground-Source Heat Pump: $1,500 Ground Source Heat Pump (with Desuperheater):$1,700 Ductless Mini-Split Heat Pump: $1,500 Duct Testing and Sealing: $400 - $500 Insulation: $0.40 - $0.50/sq ft Windows: $6.00 per square foot Energy Star / NEEM Certified Manufactured Home: $800

59

Village of Oak Harbor, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Oak Harbor Oak Harbor Place Ohio Utility Id 13932 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes ISO MISO 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 General Service- Single Phase Commercial General Service- Three Phase Commercial Residential Service Residential Average Rates Residential: $0.1080/kWh Commercial: $0.1160/kWh Industrial: $0.0909/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Village_of_Oak_Harbor,_Ohio_(Utility_Company)&oldid=41204

60

Friday Harbor, Washington: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Friday Harbor, Washington: Energy Resources Friday Harbor, Washington: Energy Resources (Redirected from Friday Harbor, WA) Jump to: navigation, search Equivalent URI DBpedia Coordinates 48.5342662°, -123.0171242° 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":48.5342662,"lon":-123.0171242,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "beach harbors model" 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

City of Harbor Springs, Michigan (Utility Company) | Open Energy  

Open Energy Info (EERE)

Harbor Springs, Michigan (Utility Company) Harbor Springs, Michigan (Utility Company) Jump to: navigation, search Name Harbor Springs City of Place Michigan Utility Id 8083 Utility Location Yes Ownership M NERC Location RFC NERC RFC 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 Inside City Commercial Commercial Outside City Commercial Demand Inside City Commercial Demand Outside City Commercial Energy Optimization Plan Surcharge Rates: Commercial Commercial Energy Optimization Plan Surcharge Rates: Residential Residential Residential Inside City Residential Residential Outside City Residential

62

Grays Harbor PUD - Residential Energy Efficiency Loan Program | Department  

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

Residential Energy Efficiency Loan Program Residential Energy Efficiency Loan Program Grays Harbor PUD - Residential Energy Efficiency Loan Program < Back Eligibility Installer/Contractor Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heating & Cooling Commercial Heating & Cooling Heat Pumps Windows, Doors, & Skylights Maximum Rebate $20,000 Air-Source Heat Pump: $10,000 Ground Source Heat Pump w/Desuperheater: $15,000 Ductless Mini-Split Heat Pump: $8,500 Duct Sealing: $2,500 Insulation: $2 per square foot Windows: $40 per square foot Program Info State District of Columbia Program Type Utility Loan Program Rebate Amount $500 - $20,000 Provider Grays Harbor PUD Grays Harbor PUD works with local lending institutions to provide low-interest loans to customers for energy efficiency projects. A

63

Grays Harbor PUD - Solar Water Heater Loan | Department of Energy  

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

Solar Water Heater Loan Solar Water Heater Loan Grays Harbor PUD - Solar Water Heater Loan < Back Eligibility Residential Savings Category Heating & Cooling Solar Water Heating Maximum Rebate not specified Program Info State District of Columbia Program Type Utility Loan Program Rebate Amount not specified Provider Grays Harbor PUD Since October 2001, Grays Harbor PUD has offered a low-interest loan program (currently 4.0%) for the installation of solar water heaters. Loans are available for the installation of solar collectors of 40 square feet or more. The loans are provided through local lenders, with interest subsidized by the PUD. Only customers who currently use electricity for hot water are eligible. Pre-approval is required for this loan and loan amounts are determined on a case-by-case basis.

64

Grays Harbor PUD - Non-Residential Energy Efficiency Rebate Program |  

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

Grays Harbor PUD - Non-Residential Energy Efficiency Rebate Program Grays Harbor PUD - Non-Residential Energy Efficiency Rebate Program Grays Harbor PUD - Non-Residential Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Industrial Institutional Local Government Schools Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate Verifiable Savings: up to 70% of project cost Heat Pumps/Air Conditioners: 50% of actual project cost Economizers: 50% of actual economizer system installed cost Program Info State District of Columbia Program Type Utility Rebate Program Rebate Amount Verifiable Savings: $0.17/kWh, based upon annual kilowatt-hours saved Heat Pumps/Air Conditioners: $200 per ton X minimum or actual SEER

65

PUD No 1 of Grays Harbor Cnty | Open Energy Information  

Open Energy Info (EERE)

Grays Harbor Cnty Grays Harbor Cnty Jump to: navigation, search Name PUD No 1 of Grays Harbor Cnty Place Washington Utility Id 7548 Utility Location Yes Ownership P NERC Location WECC NERC WECC Yes Operates Generating Plant Yes Activity Distribution Yes Activity Wholesale Marketing Yes Activity Retail Marketing 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 INDUSTRIAL CUSTOMERS WITH GENERATION USED TO SERVE LOAD Schedule 96.3 Industrial Service Rate Schedule 84 Industrial Industrial Service Rate Schedule 84 B Commercial Irrigation Schedule 94 Commercial LARGE GENERAL SERVICE RATE 1 Industrial

66

Gig Harbor, Washington: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Gig Harbor, Washington: Energy Resources Gig Harbor, Washington: Energy Resources (Redirected from Gig Harbor, WA) Jump to: navigation, search Equivalent URI DBpedia Coordinates 47.329264°, -122.5801293° 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":47.329264,"lon":-122.5801293,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

67

City of Two Harbors, Minnesota (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Two Harbors, Minnesota (Utility Company) Two Harbors, Minnesota (Utility Company) Jump to: navigation, search Name City of Two Harbors Place Minnesota Utility Id 19321 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes Operates Generating Plant Yes Activity Generation 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 Large commercial service rate Commercial Residential service rate Residential Security Lights Lighting Security Lights w/pole setting Lighting Small commercial service rate Commercial Average Rates Residential: $0.0996/kWh Commercial: $0.1010/kWh Industrial: $0.1030/kWh

68

Sackets Harbor, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Sackets Harbor, New York: Energy Resources Sackets Harbor, New York: Energy Resources (Redirected from Sackets Harbor, NY) Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.9461707°, -76.1190929° 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":43.9461707,"lon":-76.1190929,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

69

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

70

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

71

Evolutionary system with precedence constraints for ore harbor schedule optimization  

Science Conference Proceedings (OSTI)

This work proposes and evaluates an evolutionary system using genetic algorithms and directed graphs for the optimization of a scheduling problem for ore loading of ships in a harbor. In this kind of problem, some tasks are constrained in such a way ...

Andr V. Abs Da Cruz; Marley M. B. R. Vellasco; Marco Aurlio C. Pacheco

2008-03-01T23:59:59.000Z

72

Numerical Analysis of a Floating Harbor System and Comparison with Experimental Results  

E-Print Network (OSTI)

As a comparative study, the global performance of two cases for a floating harbor system are researched by numerical analysis and compared with results from experiments: one is a two-body case such that a floating quay is placed next to a fixed quay, a normal harbor, and the other is a three-body case such that a container ship is posed in the middle of the floating quay and the fixed quay. The numerical modeling is built based on the experimental cases. Mooring system used in the experiments is simplified to sets of linear springs, and gaps between adjacent bodies are remarkably narrow as 1.3m~1.6m with reference to large scales of the floating structures; a water plane of the fixed quay is 480m160m, and the ship is 15000 TEU (twenty-foot equivalent unit) class. With the experiment-based models, numerical analysis is implemented on two domains: frequency domain using a three dimensional constant panel method, WAMIT, and time domain using a coupled dynamic analysis program of moored floating structures, CHARM3D/HARP. Following general processes of the two main tools, additional two calibrations are implemented if necessary: revision of external stiffness and estimation of damping coefficients. The revision of the external stiffness is conducted to match natural frequency of the simulation with that of the experiment; to find out natural frequencies RAO comparison is used. The next, estimation of damping coefficients is carried out on time domain to match the responses of the simulation with those of the experiment. After optimization of the numerical analysis, a set of experimental results from regular wave tests is compared with RAO on frequency domain, and results from an irregular wave test of the experiment are compared with response histories of simulation on time domain. In addition, fender forces are compared between the simulation and experiment. Based on response histories relative motions of the floating quay and container ship are compared. And the floating harbor system, the three-body case, is compared with a conventional harbor system, a fixed quay on the portside of the container ship, in terms of motions of the container ship. As an additional simulation, the three-body case is investigated on an operating sea state condition. From the present research, the experimental results are well matched with the numerical results obtained from the simulation tools optimized to the experiments. In addition, the floating harbor system show more stable motions of the container ship than the conventional harbor system, and the floating harbor system in the operating sea state condition have motions even smaller enough to operate in term of relative motions between the floating quay and the container ship.

Kang, Heonyong

2010-05-01T23:59:59.000Z

73

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":""}]}

74

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

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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":""}]}

75

Newport Beach, California: Energy Resources | Open Energy Information  

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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":""}]}

76

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

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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":""}]}

77

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":""}]}

78

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

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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":""}]}

79

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

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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":""}]}

80

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":""}]}

Note: This page contains sample records for the topic "beach harbors model" 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

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":""}]}

82

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":""}]}

83

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":""}]}

84

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":""}]}

85

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":""}]}

86

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":""}]}

87

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":""}]}

88

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":""}]}

89

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":""}]}

90

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":""}]}

91

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":""}]}

92

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":""}]}

93

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":""}]}

94

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":""}]}

95

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":""}]}

96

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":""}]}

97

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":""}]}

98

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":""}]}

99

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":""}]}

100

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":""}]}

Note: This page contains sample records for the topic "beach harbors model" 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

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":""}]}

102

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":""}]}

103

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":""}]}

104

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":""}]}

105

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":""}]}

106

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":""}]}

107

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":""}]}

108

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":""}]}

109

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":""}]}

110

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":""}]}

111

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":""}]}

112

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

113

Cold Spring Harbor, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Cold Spring Harbor, New York: Energy Resources Cold Spring Harbor, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.8714873°, -73.456788° 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":40.8714873,"lon":-73.456788,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

114

Egg Harbor City, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Egg Harbor City, New Jersey: Energy Resources Egg Harbor City, New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.5287282°, -74.6479364° 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":39.5287282,"lon":-74.6479364,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

115

Fairport Harbor, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Fairport Harbor, Ohio: Energy Resources Fairport Harbor, Ohio: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7500431°, -81.2739916° 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":41.7500431,"lon":-81.2739916,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

116

Dering Harbor, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Dering Harbor, New York: Energy Resources Dering Harbor, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.092877°, -72.3467497° 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":41.092877,"lon":-72.3467497,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

117

Green Harbor-Cedar Crest, Massachusetts: Energy Resources | Open Energy  

Open Energy Info (EERE)

Harbor-Cedar Crest, Massachusetts: Energy Resources Harbor-Cedar Crest, Massachusetts: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.0765351°, -70.6603435° 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":42.0765351,"lon":-70.6603435,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

118

Grays Harbor County, Washington: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Grays Harbor County, Washington: Energy Resources Grays Harbor County, Washington: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 46.9953526°, -123.7012468° 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":46.9953526,"lon":-123.7012468,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

119

Laurence Harbor, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Laurence Harbor, New Jersey: Energy Resources Laurence Harbor, New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.4567735°, -74.2465338° 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":40.4567735,"lon":-74.2465338,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

120

Northwest Harbor, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Harbor, New York: Energy Resources Harbor, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.0098216°, -72.2211911° 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":41.0098216,"lon":-72.2211911,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "beach harbors model" 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

Sag Harbor, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Sag Harbor, New York: Energy Resources Sag Harbor, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.9978773°, -72.2925819° 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":40.9978773,"lon":-72.2925819,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

122

Lloyd Harbor, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Lloyd Harbor, New York: Energy Resources Lloyd Harbor, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.9034315°, -73.4598432° 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":40.9034315,"lon":-73.4598432,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

123

Keego Harbor, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Keego Harbor, Michigan: Energy Resources Keego Harbor, Michigan: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.6080884°, -83.3438247° 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":42.6080884,"lon":-83.3438247,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

124

MHK Projects/Castine Harbor Badaduce Narrows | Open Energy Information  

Open Energy Info (EERE)

Castine Harbor Badaduce Narrows Castine Harbor Badaduce Narrows < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","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":43.9294,"lon":-68.6172,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

125

Herald Harbor, Maryland: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Herald Harbor, Maryland: Energy Resources Herald Harbor, Maryland: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.0537214°, -76.5691304° 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":39.0537214,"lon":-76.5691304,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

126

Palm Harbor, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Palm Harbor, Florida: Energy Resources Palm Harbor, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 28.0780718°, -82.7637127° 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":28.0780718,"lon":-82.7637127,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

127

Bay Harbor Islands, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Harbor Islands, Florida: Energy Resources Harbor Islands, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.8875948°, -80.1311564° 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":25.8875948,"lon":-80.1311564,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

128

MHK Projects/Newfound Harbor Project | Open Energy Information  

Open Energy Info (EERE)

Newfound Harbor Project Newfound Harbor Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","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":24.5557,"lon":-81.7826,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

129

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

130

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

131

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

132

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

133

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

134

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

135

Grays Harbor Ocean Energy Company | Open Energy Information  

Open Energy Info (EERE)

Ocean Energy Company Ocean Energy Company Jump to: navigation, search Name Grays Harbor Ocean Energy Company Place Seattle, Washington Zip 98105 Sector Renewable Energy, Wind energy Product Grays Harbor has started a demonstration project for offshore wind/wave renewable power generation in Washington State and has applied for up to 1GW in permits for wave projects around the US. Coordinates 47.60356°, -122.329439° 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":47.60356,"lon":-122.329439,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

136

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

137

Ecological evaluation of proposed dredged material from Richmond Harbor  

Science Conference Proceedings (OSTI)

During the summer of 1991, Battelle/Marine Sciences Laboratory (MSL) was contracted to conduct sampling and testing of sediments proposed for dredging of Richmond Harbor, California. The MSL collected sediment cores to a depth of [minus]40 ft MLLW ([minus]38 ft + 2 ft overdepth) from 28 (12-in. core) and 30 (4-in. core) stations. The sediment cores were allocated to six composite samples referred to as sediment treatments, which were then subjected to physical, chemical, toxicological, and bioaccumulation testing. Physical and chemical parameters included grain size, total organic carbon (TOC), total volatile solids (TVS), oil and grease, total petroleum hydrocarbons (TPH), polynuclear aromatic hydrocarbons (PAH), chlorinated pesticides, polychlorinated biphenyis (PCBs), priority pollutant metals, and butyltins. The results from the test treatments were compared to results from five reference treatments representative of potential in-bay and offshore disposal sites.

Pinza, M R; Ward, J A; Mayhew, H L; Word, J Q; Niyogi, D K; Kohn, N P [Battelle/Marine Sciences Lab., Sequim, WA (United States)

1992-10-01T23:59:59.000Z

138

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

139

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

140

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

Note: This page contains sample records for the topic "beach harbors model" 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

Konocti Harbor Inn Pool & Spa Low Temperature Geothermal Facility | Open  

Open Energy Info (EERE)

Konocti Harbor Inn Pool & Spa Low Temperature Geothermal Facility Konocti Harbor Inn Pool & Spa Low Temperature Geothermal Facility Jump to: navigation, search Name Konocti Harbor Inn Pool & Spa Low Temperature Geothermal Facility Facility Konocti Harbor Inn Sector Geothermal energy Type Pool and Spa Location Kelseyville, California Coordinates 38.9779531°, -122.8394375° 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":[]}

142

The Coupling between Harbor Seiches at Palawan Island and Sulu Sea Internal Solitons  

Science Conference Proceedings (OSTI)

Between 1989 and 1991 the authors made observations that confirm and elucidate the coupling between harbor seiches at Puerto Princesa on Palawan Island in the Philippines and tide-generated internal solitons in the Sulu Sea. Published tidal ...

Graham S. Giese; David C. Chapman; Margaret Goud Collins; Rolu Encarnacion; Gil Jacinto

1998-12-01T23:59:59.000Z

143

A Simple Reactive Obstacle Avoidance Algorithm and Its Application in Singapore Harbor  

E-Print Network (OSTI)

Autonomous surface craft (ASC) are increasingly attractive as a means for performing harbor operations including monitoring and inspection. However, due to the presence of many fixed and moving structures such as pilings, ...

Bandyophadyay, Tirthankar

2013-04-24T23:59:59.000Z

144

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

145

Modeling of nearshore hydrodynamics for sediment transport calculations  

E-Print Network (OSTI)

This thesis analyzes and improves Tajima's (2004) nearshore hydrodynamic model. Tajima's simple model accurately predicts long-shore sediment transport along long, straight beaches, while cross-shore transport predictions ...

Gonzalez-Rodriguez, David, Ph. D. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

146

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

147

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

148

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.

149

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

150

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

151

Harbor Branch researcher on top of bottom life ahead of oil spill  

E-Print Network (OSTI)

Harbor Branch researcher on top of bottom life ahead of oil spill By Ed Killer Saturday, June 12 like if touched by an underwater plume of oil. No doubt, much of it would be gone forever. Reed inhabiting the reefs, Reed hoped the oil would not be swept around the tip of Florida and onto the fragile

Belogay, Eugene A.

152

Impact evaluation of an Energy $avings Plan project at Columbia Harbor Lumber Company  

SciTech Connect

This impact evaluation of an energy conservation measure (ECM) that was recently installed at Columbia Harbor Lumber Company (Columbia Harbor Lumber), Chehalis, Washington, was conducted for the Bonneville Power Administration (Bonneville) as part of an evaluation of its Energy Savings Plan (ESP) Program. The Program makes acquisition payments to firms that install energy conservation measures in their industrial processes. The objective of this impact evaluation was to assess how much electrical energy is being saved at Columbia Harbor Lumber as a result of the ESP and to determine how much the savings cost Bonneville and the region. The impact of the ECM was evaluated with a combination of engineering analysis, financial analysis, interviews, and submittal reviews (Columbia Harbor Lumber's Completion Report and Proposal). The ECM itself consists of an adjustable speed drive for controlling the speed of nine fans on a lumber drying kiln. Energy savings resulting from this ECM are expected to be 286,500 kWh/yr. On a per unit of output basis, this ECM will save 0.053 kWh/board foot, a 48% reduction. The ECM cost $24,086 to install, and Columbia Harbor Lumber received payment of $19,269 from Bonneville for the acquisition of energy savings. In all likelihood, this ECM would have been installed even without the acquisition payment from Bonneville. The levelized cost of these energy savings to Bonneville will be 5.6 mills/kWh over the ECM's expected 15-year life, and the levelized cost to the region will be 7.4 mills/kWh.

Spanner, G.E.; Sullivan, G.P.

1992-02-01T23:59:59.000Z

153

Impact evaluation of an Energy $avings Plan project at Columbia Harbor Lumber Company  

SciTech Connect

This impact evaluation of an energy conservation measure (ECM) that was recently installed at Columbia Harbor Lumber Company (Columbia Harbor Lumber), Chehalis, Washington, was conducted for the Bonneville Power Administration (Bonneville) as part of an evaluation of its Energy Savings Plan (ESP) Program. The Program makes acquisition payments to firms that install energy conservation measures in their industrial processes. The objective of this impact evaluation was to assess how much electrical energy is being saved at Columbia Harbor Lumber as a result of the ESP and to determine how much the savings cost Bonneville and the region. The impact of the ECM was evaluated with a combination of engineering analysis, financial analysis, interviews, and submittal reviews (Columbia Harbor Lumber`s Completion Report and Proposal). The ECM itself consists of an adjustable speed drive for controlling the speed of nine fans on a lumber drying kiln. Energy savings resulting from this ECM are expected to be 286,500 kWh/yr. On a per unit of output basis, this ECM will save 0.053 kWh/board foot, a 48% reduction. The ECM cost $24,086 to install, and Columbia Harbor Lumber received payment of $19,269 from Bonneville for the acquisition of energy savings. In all likelihood, this ECM would have been installed even without the acquisition payment from Bonneville. The levelized cost of these energy savings to Bonneville will be 5.6 mills/kWh over the ECM`s expected 15-year life, and the levelized cost to the region will be 7.4 mills/kWh.

Spanner, G.E.; Sullivan, G.P.

1992-02-01T23:59:59.000Z

154

Using a Business Process Model as a Central Organizing Construct for an Undergraduate Weather Forecasting Course  

Science Conference Proceedings (OSTI)

For the last five years, the author has employed a business process model as a central organizing construct for the senior-level Forecasting Techniques course at Embry- Riddle Aeronautical University's Daytona Beach, Florida, campus. The process model ...

John M. Lanicci

2012-05-01T23:59:59.000Z

155

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,

156

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":""}]}

157

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

158

Head of the Harbor, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

of the Harbor, New York: Energy Resources of the Harbor, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.9034315°, -73.1578885° 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":40.9034315,"lon":-73.1578885,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

159

MHK Projects/Grays Harbor Ocean Energy and Coastal Protection | Open Energy  

Open Energy Info (EERE)

Grays Harbor Ocean Energy and Coastal Protection Grays Harbor Ocean Energy and Coastal Protection < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","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":47.4651,"lon":-124.367,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

160

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

Note: This page contains sample records for the topic "beach harbors model" 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

An investigation of the feasibility of building a harbor on the West coast of South America using explosive power of nuclear weapons, a preliminary report  

SciTech Connect

There is an interest in discovering the various peace time uses of nuclear explosives. One of the proposals is the building of harbors. There are several ports along the west coast of South America where lighterage is necessary. This implies a need for expanded harbor facilities. The problem is to find a good location for creating a harbor, and the feasibility of accomplishing this with the use of nuclear force. Feasibility includes blast effects, radiation hazards, the number of weapons needed, and economic considerations. Economic considerations include the cost of treating a harbor of sufficient depth and area, the building of harbor facilities, and the estimated savings and advantages of the new harbor. Several meetings were held with naval personnel of the Military Liaison group at UCRL to discuss the general problems of harbors. Thirty-three different ports were given a preliminary investigation.

Zodtner, H. H.

1971-12-31T23:59:59.000Z

162

Atmospheric Turbulence above Coastal Waters: Determination of Stability Classes and a Simple Model for Offshore Flow Including Advection and Dissipation  

Science Conference Proceedings (OSTI)

Atmospheric turbulence intensities and timescales have been measured for one year and modeled in a shoreline environment. Measurements were carded out at two sites on both sides of the shoreline, about 10 km from the beach. The frequency ...

Hans J. Erbrink; Rudy D. A. Scholten

1995-10-01T23:59:59.000Z

163

Global performance analysis of floating harbor and container ship for loading and offloading operation  

E-Print Network (OSTI)

The feasibility and general performance of a floating harbor system is studied with regard to the relative motion of a floating quay and a container ship. A 350[m] 160[m] box-type barge is selected as the floating harbor and it is positioned by a dolphin mooring system. The container ship is tied to the land wall by hawsers. The hydrodynamic interactions between floating bodies and a fixed quay wall in close proximity with a side-by-side arrangement are investigated. A three dimensional wave-body diffraction/radiation panel program WAMIT is used for the calculation of hydrodynamic information and response amplitude operators (RAO) of the three bodies in frequency domain. Subsequently, the vessel-mooring coupled dynamic analysis program WINPOST is employed to produce motion time histories in time domain. The frequency-domain RAO is successfully compared with time-domain RAO in case viscous forces are neglected. Compared to Brajesh Kumars (2005) study, 1212 full hydrodynamic interactions between the two floating bodies are included and dynamic wind loading is considered in addition to wave and current loadings. All the relative motion statistics are calculated from the respective motion time histories for a typical operational condition and a typical survival condition. The relative motion between the interacting bodies is small in the operational condition to ensure the efficacy of container loading and offloading operation from both sides of the ship while the loading and offloading operation is not available in the survival condition.

Lim, Sung Ho

2007-12-01T23:59:59.000Z

164

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

165

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

166

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

167

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

168

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

169

Microsoft Word - CX-Sacajawea-SunHarborCascadeSteelTapPropertyTransferFY12_WEB.doc  

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

20, 2012 20, 2012 REPLY TO ATTN OF: KEPR-4 SUBJECT: Environmental Clearance Memorandum Joan Kendall Realty Specialist - TERR-3 Proposed Action: Acquisition and Disposition of Property Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): Appendix B1.24, Property transfers. Location: Walla Walla County, WA; Yamhill County, OR Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA proposes to dispose of one property and acquire another property in its service territory: Sacajawea-Sun Harbor: BPA proposes to dispose of 2.02 miles of its Sacajawea-Sun Harbor 115-kilovolt (kV) transmission line, associated easement rights, and its Sun Harbor Substation to the Columbia Rural Electric Association (CREA). The transmission line and substation are

170

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

E-Print Network (OSTI)

Crystal Cove Corona Del Mar Balboa Newport Santa Ana RiverCrystal Cove Corona Del Mar Balboa Newport Santa Ana River

Hilger, James; Hanemann, W. Michael

2008-01-01T23:59:59.000Z

171

Microsoft Word - CX-Amended-Sac-Sub-IceHarbor-Fiber.doc  

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

(Amended) (Amended) Chad Hamel Project Manager - TEP-TPP-1 Proposed Action: Sacajawea Substation - Ice Harbor Dam Fiber Project (Amended) Budget Information: Work Order 00195734, Task 3 Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B4.7 Adding fiber optic cable to transmission structures or burying fiber optic cable in existing transmission line rights-of-way. Location: Walla Walla County, Washington Township 9 North, Range 31 East, Sections 24, 25 Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: An environmental clearance memorandum was prepared for the project on June 1, 2007. The original document has been amended in order to more fully describe the proposed work and changes to the original project description:

172

Eelgrass (Zostera marina L.) transplant monitoring in Grays Harbor, Washington, after 29 months  

DOE Green Energy (OSTI)

In 1992, the US Army Corps of Engineers-Seattle District, placed oyster shell on tidal flats to mitigate for Dungeness crab mortalities caused by dredging in Grays Harbor, Washington, in 1990. Shell placement damaged isolated patches of eelgrass. To help assess the potential for the recovery of eelgrass in plots that may have been significantly affected, eelgrass transplanting experiments were initiated in 1990. Eelgrass was transplanted into 16 ponded areas that were created by the uneven placement of the shell. Transplanting was carried out in spring 1990, and sampling of the survival of the transplants was conducted in August of 1990 and 1991. Quantitative samples collected August 1992 indicated that transplanted eelgrass increased significantly in terms of shoot abundance since transplantation. The variation and rate of increase in shoot abundance among transplant plots can be partially explained by desiccation stress, with deeper ponds showing enhanced growth rate and plant size.

Thom, R.M.

1993-01-01T23:59:59.000Z

173

Eelgrass (Zostera marina L. ) transplant monitoring in Grays Harbor, Washington, after 29 months  

DOE Green Energy (OSTI)

In 1992, the US Army Corps of Engineers-Seattle District, placed oyster shell on tidal flats to mitigate for Dungeness crab mortalities caused by dredging in Grays Harbor, Washington, in 1990. Shell placement damaged isolated patches of eelgrass. To help assess the potential for the recovery of eelgrass in plots that may have been significantly affected, eelgrass transplanting experiments were initiated in 1990. Eelgrass was transplanted into 16 ponded areas that were created by the uneven placement of the shell. Transplanting was carried out in spring 1990, and sampling of the survival of the transplants was conducted in August of 1990 and 1991. Quantitative samples collected August 1992 indicated that transplanted eelgrass increased significantly in terms of shoot abundance since transplantation. The variation and rate of increase in shoot abundance among transplant plots can be partially explained by desiccation stress, with deeper ponds showing enhanced growth rate and plant size.

Thom, R.M.

1993-01-01T23:59:59.000Z

174

Marketplace Assessment Metric Labeling on Packages in ...  

Science Conference Proceedings (OSTI)

... Harbor Freight Devcon 5 Minute Epoxy 2 ITW Performance Riviera Beach, FL 1 net ... Harbor Freight Aquapel Glass Treatment 2 PPG Industries, Inc. ...

2010-07-27T23:59:59.000Z

175

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.

176

Quantification of total mercury in liver and heart tissue of Harbor Seals (Phoca vitulina) from Alaska USA  

SciTech Connect

This study quantified the Hg levels in the liver (n=98) and heart (n=43) tissues of Harbor Seals (Phoca vitulina) (n=102) harvested from Prince William Sound and Kodiak Island Alaska. Mercury tissue dry weight (dw) concentrations in the liver ranged from 1.7 to 393 ppm dw, and in the heart from 0.19 to 4.99 ppm dw. Results of this study indicate liver and heart tissues' Hg ppm dw concentrations significantly increase with age. Male Harbor Seals bioaccumulated Hg in both their liver and heart tissues at a significantly faster rate than females. The liver Hg bioaccumulation rates between the harvest locations Kodiak Island and Prince William Sound were not found to be significantly different. On adsorption Hg is transported throughout the Harbor Seal's body with the partition coefficient higher for the liver than the heart. No significant differences in the bio-distribution (liver:heart Hg ppm dw ratios (n=38)) values were found with respect to either age, sex or geographic harvest location. In this study the age at which Hg liver and heart bioaccumulation levels become significantly distinct in male and female Harbor Seals were identified through a Tukey's analysis. Of notably concern to human health was a male Harbor Seal's liver tissue harvested from Kodiak Island region. Mercury accumulation in this sample tissue was determined through a Q-test to be an outlier, having far higher Hg concentrarion (liver 392 Hg ppm dw) than the general population sampled. - Highlights: Black-Right-Pointing-Pointer Mercury accumulation in the liver and heart of seals exceed food safety guidelines. Black-Right-Pointing-Pointer Accumulation rate is greater in males than females with age. Black-Right-Pointing-Pointer Liver mercury accumulation is greater than in the heart tissues. Black-Right-Pointing-Pointer Mercury determination by USA EPA Method 7473 using thermal decomposition.

Marino, Kady B. [Department of Chemistry, Roger Williams University, Bristol, RI 02809 (United States)] [Department of Chemistry, Roger Williams University, Bristol, RI 02809 (United States); Hoover-Miller, Anne; Conlon, Suzanne; Prewitt, Jill [Alaska SeaLife Center, City of Seward, AK (United States)] [Alaska SeaLife Center, City of Seward, AK (United States); O'Shea, Stephen K., E-mail: soshea@rwu.edu [Department of Chemistry, Roger Williams University, Bristol, RI 02809 (United States)

2011-11-15T23:59:59.000Z

177

New York/New Jersey Intra Harbor Petroleum Supplies Following Hurricane Sandy: Summary of Impacts Through November 13, 2012  

Gasoline and Diesel Fuel Update (EIA)

New York/New Jersey Intra New York/New Jersey Intra Harbor Petroleum Supplies Following Hurricane Sandy: Summary of Impacts Through November 13, 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | New York/New Jersey Intra Harbor Petroleum Supplies Following Hurricane Sandy: Summary of Impacts Through November 13, 2012 i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or

178

Ecological evaluation of proposed dredged material from Wilmington Harbor and Military Ocean Terminal, Sunny Point, North Carolina  

SciTech Connect

This report is intended to provide information required to address potential ecological effects of the proposed disposal of Wilmington Harbor and Military Ocean Terminal, Sunny Point (MOTSU), North Carolina, sediments in the ocean. The report is divided into five sections. Section 1.0 is the introduction containing a brief overview of the study and the study objectives. Section 2.0 describes the methods and materials used for sample collection, processing, toxicological and bioaccumulation testing, physical/chemical analysis of sediments and tissues, data analysis, and quality assurance procedures. Section 3.0 presents the results of field collections, sediment chemistry, toxicological testing, and tissue chemistry resulting from bioaccumulation exposures. Section 4.0 presents a discussion of the results and summary conclusions concerning the acceptability of the Wilmington Harbor and MOTSU dredged material for ocean disposal. Section 5.0 lists the literature cited in support of this document. A series of appendixes contain detailed data listings.

Ward, J.A.; Pinza, M.R.; Barrows, M.E.; Word, J.Q. [Battelle/Marine Sciences Lab., Sequim, WA (US)

1993-07-01T23:59:59.000Z

179

Ecological Modelling 117 (1999) 261267 Modeling bird mortality associated with the M/V Citrus oil spill  

E-Print Network (OSTI)

Ecological Modelling 117 (1999) 261­267 Modeling bird mortality associated with the M/V Citrus oil of Ornithology, American Museum of Natural History, Central Park West at 79th Street, New York NY 10024, USA/V Citrus oil spill in February 1996. Most of the islands beaches were searched on an irregular schedule

Rockwell, Robert F.

180

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

Note: This page contains sample records for the topic "beach harbors model" 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

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

182

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

183

Atmospheric Response to Local Upwelling in the Vicinity of New YorkNew Jersey Harbor  

Science Conference Proceedings (OSTI)

Multiply nested urbanized mesoscale model [Coupled OceanAtmosphere Mesoscale Prediction System (COAMPS)] simulations of the New YorkNew Jersey metropolitan region are conducted for 411 July 2004. The simulations differ only in their ...

Julie Pullen; Teddy Holt; Alan F. Blumberg; Robert D. Bornstein

2007-07-01T23:59:59.000Z

184

McNary Dam, Ice Harbor Dam, and Lower Monumental Dam Smolt Monitoring Program; 1996 Annual Report.  

DOE Green Energy (OSTI)

The Washington Department of Fish & Wildlife (WDFW) assumed responsibility for the Smolt Monitoring Program at McNary Dam on the Columbia River in 1990 and at the new juvenile collection facility at Lower Monumental Dam on the Snake River in 1993. In 1996, Smolt Monitoring Program activities also began at the new juvenile collection facility located at Ice Harbor Dam. This report summarizes the 1996 Smolt Monitoring work at all three sites. The work at Ice Harbor consisted of Gas Bubble Trauma (GBT) monitoring only. In general, the 1996 passage season at both the McNary and Lower Monumental sites can be characterized by reduced passage of juveniles through the collection systems due to elevated river flows and spill, and low (<1%) overall facility mortality rates most likely resulting from cooler water temperatures. In accordance with the National Marine Fisheries Service recommendations (NMFS, 1995) all spring migrants were bypassed at McNary Dam in 1996. Mechanical problems within the McNary collection system resulted in collection and sampling activities being delayed until April 18 at this site, while sampling and collection began on the scheduled starting date of April 1 at Lower Monumental Dam. Monitoring operations were conducted through December 14 at McNary Dam and through October 28 at Lower Monumental Dam. An ongoing transportation evaluation summer migrant marking program was conducted at McNary Dam in 1996 by the NMFS. This necessitated the sampling of 394,211 additional fish beyond the recommended sampling guidelines. All total, 509,237 and 31,219 juvenile salmonids were anesthetized and individually counted, examined for scale loss, injuries, and brands by WDFW Smolt Monitoring personnel in 1996 at McNary Dam and Lower Monumental Dam, respectively.

Hillson, Todd; Lind, Sharon; Price, William (Washington Department of Fish and Wildlife, Olympia, WA)

1997-07-01T23:59:59.000Z

185

MODELING SECURITY IN CYBER-PHYSICAL SYSTEMS  

E-Print Network (OSTI)

network at the Davis-Besse nuclear power plant in Oak Harbor, Ohio, was infected [39]. There have been-physical systems, threat models, protocols for treaty verification. 1. Introduction The rapid growth of information) sys- tems that monitor power, gas/oil transportation, water and waste-water distribution. Such systems

Burmester, Mike

186

U.S. DEPARTMENT OF ENERGY - NETL CATEGORICAL EXCLUSION (CX) DESIGNATIO...  

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

offshore, Long Beach Harbor, California Characterization of Pilocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for large Scale Geologic Storage of CO2....

187

NETL F 451.1-1/1 Categorical Exclusion (CX) Designation Form  

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

Offshore Long Beach Harbor, CA Characterization of Pilocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Project awarded under ARRA DE-FOA0000033. NEPA...

188

Three-Dimensional Tsunami Modeling Using GPU-SPHysics  

E-Print Network (OSTI)

With the devastating effects of the 2004 Sumatra Tsunami, tsunami research is at an all time high. Tsunami forecasting and modeling has become exceedingly important in the anticipation of major disasters. Tsunami inundation modeling, how a tsunami invades a coastal area, is an extremely useful tool for the prevention of major disaster in tsunami laden zones. Using a new free-surface hydrodynamic modeling code called GPUSPHysics, accurate inundation and propagation models of tsunamis can be modeled at very high resolutions. GPU-SPHysics takes advantage of the extremely powerful computational power of a GPU (Graphics Processing Unit) and calculates the dynamics of fluids based on SPH (Smoothed Particle Hydrodynamics). The implementation of SPH on the GPU not only creates accurate, three-dimensional models but stunning visualizations of a tsunami wave breaking on beaches or other structures. Using the data from these models, coastal communities will be well prepared for any magnitude of tsunami that they may encounter by adjusting their infrastructure and disaster preparation to accommodate for this common disaster and potentially save many lives. To utilize GPU-SPHysics? models accurately, they must first be verified. NOAA (The National Oceanic and Atmospheric Administration) has provided benchmarks for tsunami inundation and propagation models. These benchmarks consist of analytic tests, laboratory tests and field tests. A key benchmark for GPU-SPHysics to be verified against is the solitary wave inundation on a sloping beach experiment. The solitary wave best represents the leading wave of a tsunami; hence it is vital to test other inundations that involve more complex structures than sloping beaches. Through visual analysis, the GPU-SPHysics solitary wave model, accurate to a small deviation, has been verified using the analytic calculation for maximum runup as provided by Synolakis. To verify other benchmarks provided by NOAA, GPU-SPHysics must be tested against multiple experiments. Once GPU-SPHysics has been verified for multiple data sets, it can be considered an accurate tool for hazard analysis.

Munoz, Andrew J.

2010-05-01T23:59:59.000Z

189

Models  

E-Print Network (OSTI)

A very typical statistical/econometric model assumes something like yt ? i.i.d. f (y, x, ?) (1) where f () is a parametric family known up to parameters ?. Parameter estimation: maximum likelihood ?n = arg max ? ln f (Yt, Xt, ?) (2) t What if the basic model assumptions of (1) are violated? The parametric family may not contain the true model f0(x, y) that generated the data; or the data may not be i.i.d.; etc. Misspecified

Stas Kolenikov; U Of Missouri; U Of Missouri

2007-01-01T23:59:59.000Z

190

Data Overview for Sensor Fish Samples Acquired at Ice Harbor, John Day, and Bonneville II Dams in 2005, 2006, and 2007  

DOE Green Energy (OSTI)

The purpose of this work was to acquire Sensor Fish data on turbine passage at Bonneville II, John Day, and Ice Harbor dams for later analysis and use. The original data sets have been entered into a database and are being maintained by Pacific Northwest National Laboratory pending delivery to the U.S. Army Corps of Engineers when requested. This report provides documentation for the data sets acquired and details about the operations of the Sensor Fish and interpretation of Sensor Fish data that will be necessary for later use of the acquired data. A limited review of the acquired data was conducted to assess its quality and to extract information that might prove useful to its later use.

Carlson, Thomas J.; Duncan, Joanne P.; Deng, Zhiqun

2008-03-12T23:59:59.000Z

191

A Simulation Study Using a Local Ensemble Transform Kalman Filter for Data Assimilation in New York Harbor  

Science Conference Proceedings (OSTI)

Data assimilation approaches that use ensembles to approximate a Kalman filter have many potential advantages for oceanographic applications. To explore the extent to which this holds, the Estuarine and Coastal Ocean Model (ECOM) is coupled with ...

Ross N. Hoffman; Rui M. Ponte; Eric J. Kostelich; Alan Blumberg; Istvan Szunyogh; Sergey V. Vinogradov; John M. Henderson

2008-09-01T23:59:59.000Z

192

Modeling  

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

ALE-AMR ALE-AMR code Wangyi Liu, John Bernard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder June 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid equations is an additional term in the stress tensor. We show results of applying the model to an expanding Al droplet surrounded by an Al vapor, where additional droplets are created. 1 Introduction The Neutralized Drift Compression Experiment II (NDCX II) is an induction accelerator planned for initial commissioning in 2012. The final design calls for a 3 MeV, Li+ ion beam, delivered in a bunch with characteristic pulse duration of 1 ns, and transverse dimension of order 1 mm. The

193

A-e Services to perform a cathodic protection survey of the bulk fuel terminals at N. S. C. Pearl Harbor, Hawaii. Volume II  

SciTech Connect

This section includes one 25,000 bbl, two 80,000 bbl, and two 150,000 bbl tanks in the Pearl City Tank Farm. Tanks in the upper tank farm consist of six 150,000 bbl tanks, eight underground diesel storage tanks at building 60, four 10,000 bbl underground surge tanks, two ballast tanks, two diesel tanks, one hot settling tank and one diesel flotation tank. Four 50,000 bbl tanks and one 80,000 bbl tank at the middle tank farm are included along with four 50,000 bbl tanks at the lower tank farm. One outdoor ballast tank and one water storage tank at the Stilling Basin and associated piping are also included. The existing impressed current type of cathodic protection system and the existing sacrificial type of cathodic protection system are considered and three POL lines located in the lower Red Hill Tunnel from the Red Hill storage tanks to the Pearl Harbor Naval Base are included.

1982-06-01T23:59:59.000Z

194

Sectional Model Flume Facilities | Open Energy Information  

Open Energy Info (EERE)

Sectional Model Flume Facilities Sectional Model Flume Facilities Jump to: navigation, search Basic Specifications Facility Name Sectional Model Flume Facilities Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Flume Length(m) 21.3 Beam(m) 1.4 Depth(m) 2.4 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None 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 No Simulated Beach No Channel/Tunnel/Flume Channel/Tunnel/Flume Yes Recirculating No Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control system Cameras None Available Sensors Flow, Pressure Range(psi), Turbulence, Velocity, Wave Probe

195

Coastal Structures Modeling Complex | Open Energy Information  

Open Energy Info (EERE)

Structures Modeling Complex Structures Modeling Complex Jump to: navigation, search Basic Specifications Facility Name Coastal Structures Modeling Complex Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Wave Basin Length(m) 54.9 Beam(m) 35.4 Depth(m) 1.4 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.3 Wave Period Range(s) 0.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wave Direction Both 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 Cameras None

196

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

197

San Pedro Bay Delta, in Southern California Shore and Shore Use Changes During Past 1-1/2 Centuries from a Coastal Engineering Perspective  

E-Print Network (OSTI)

lowlands are given. The subsidence ranged from 0.002 ft. /California, USA," in Land Subsidence. Proceedings a/theJames, and U.S. Grant, "Subsidence in the Long Beach Harbor

Wiegel, Robert L.

2009-01-01T23:59:59.000Z

198

Evaluation of Generic EBS Design Concepts and Process Models Implications  

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

Generic EBS Design Concepts and Process Models Generic EBS Design Concepts and Process Models Implications to EBS Design Optimization Evaluation of Generic EBS Design Concepts and Process Models Implications to EBS Design Optimization The assessment of generic Engineered Barrier System (EBS) concepts and design optimization to harbor various disposal configurations and waste types needs advanced approaches and methods to analyze barrier performance. The report addresses: 1) Overview of the importance of Thermal-Hydrological-Mechanical-Chemical (THMC) processes to barrier performance, and international collaborations; 2) THMC processes in clay barriers; 3) experimental studies of clay stability and clay-metal interactions at high temperatures and pressures; 4) thermodynamic modeling and database development; 5) Molecular Dynamics (MD) study of clay

199

Health hazard evaluation report No. HHE-80-233-793, Davis Bessie Nuclear Power Station, Toledo Edison Company, United Engineers and Contractors Company (UE and C), Oak Harbor, Ohio  

Science Conference Proceedings (OSTI)

Personal air samples were analyzed and employees were given medical evaluations at Davis Bessie Nuclear Power Station (SIC-4911) in Oak Harbor, Ohio. Requests for evaluation were made by a union representative of the United Engineers and Contractors and a union representative of employees of Toledo Edison Company, working on site at the power station, to evaluate employee skin and scalp problems due to exposure to ceramic wood fibers. Preliminary surveys were conducted on September 24 and 25, 1980 and a follow-up survey was performed on October 16, 1980. Environmental evaluation consisted of gravimetric analyses of personal air samples for airborne ceramic wool fibers. A total of 400 production and maintenance workers and varying numbers of construction workers were exposed to the fibers during installation of insulation which was completed at the time of the survey. The three personal air samples showed no accumulation of particulates and fibers detected were nonrespirable. Medical evaluations were conducted in 52 workers and scalp scrapings were obtained from 43 workers. Thirty seven workers had histories suggestive of irritant dermatitis of the scalp; 24 workers had physical findings consistent with the diagnosis. Of the 43 scalp samples, 18 were contaminated with organisms of the gut, perineum, skin or respiratory tract. Dermatitis was directly related to the history of dust exposure. The authors conclude that a potential health hazard exists for employees from exposure to ceramic wool fiber. Recommendations include provision of handwashing facilities and protective clothing for employees, and installation of an impermeable covering for the ceramic wool fiber.

Cone, J.; Hartle, R.

1981-01-01T23:59:59.000Z

200

PROCESS KNOWLEDGE DATA GATHERING AND REPORTING IN SUPPORT OF DECOMMISSIONING Health Physics Society Annual Meeting West Palm Beach, Florida June 27, 2011  

SciTech Connect

Summary of recent ORAU decommissioning activities at the Oak Ridge National Laboratory (ORNL) and the East Tennessee Technology Park (ETTP). Project objective was to generate approved Waste Lot Profiles for legacy facilities scheduled for demolition and shipment to the Environmental Management Waste Management Facility (EMWMF) or appropriate alternate facility. The form and content of process knowledge (PK) reports were developed with input from the EMWMF Waste Acceptance Criteria (WAC) Attainment Team and regulators. PK may be defined as the knowledge of the design and the history of operations that occurs during the life cycle of a facility (paraphrased from SRNL guidance) - similar to the MARSSIM historical site assessment. Some types of PK data used to decommission ORNL and ETTP facilities include: (1) Design drawings; (2) Historical documents [e.g., History of the Oak Ridge National Laboratory by Thomas (1963) and A Brief History of the Chemical Technical Division (ORNL/M-2733)]; (3) Historical photographs; (4) Radiological survey reports; (5) Facility-specific databases - (a) Spill history, (b) Waste Information Tracking System (WITS), and (c) Hazardous Materials Management Information System (HMMIS); (6) Facility walkdown summary reports; and (7) Living memory data. Facility walkdowns are critical for worker safety planning and to assure on-the-ground-conditions match historical descriptions. For Oak Ridge operations, investigators also document the nature and number of items requiring special handling or disposition planning, such as the following: (1) Items containing polychlorinated biphenyls, asbestos, lead, or refrigerants; (2) Items with physical WAC restriction (e.g., large items, pipes, and concrete); and (3) Too 'hot' for EMWMF. Special emphasis was made to interview facility managers, scientists, technicians, or anyone with direct knowledge of process-related activities. Interviews often led to more contact names and reports but also offered anecdotal accounts of releases, process-related operations, maintenance activities, and other relevant information not addressed in the written record. 'Fun' part of PK data gathering. Often got not-so-useful information such as, 'The operations manager was a jerk and we all hated him.' PK data are used to indicate the presence or absence of contaminants. Multiple lines of investigation are necessary for characterization planning and to help determine which disposal facility is best suited for targeted wastes. The model used by ORAU assisted remediation contractors and EMWMF managers by identifying anomalous waste and items requiring special handling.

David A. King

2011-06-27T23:59:59.000Z

Note: This page contains sample records for the topic "beach harbors model" 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

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...

202

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.

203

Quantum Circuit Model Topological Model  

E-Print Network (OSTI)

Quantum Circuit Model Topological Model Comparison of Models Topological Quantum Computation Eric Rowell Texas A&M University October 2010 Eric Rowell Topological Quantum Computation #12;Quantum Circuit Model Topological Model Comparison of Models Outline 1 Quantum Circuit Model Gates, Circuits

Rowell, Eric C.

204

Observations and a Model of Undertow over the Inner Continental Shelf  

Science Conference Proceedings (OSTI)

Onshore volume transport (Stokes drift) due to surface gravity waves propagating toward the beach can result in a compensating Eulerian offshore flow in the surf zone referred to as undertow. Observed offshore flows indicate that wave-driven ...

Steven J. Lentz; Melanie Fewings; Peter Howd; Janet Fredericks; Kent Hathaway

2008-11-01T23:59:59.000Z

205

Energy Research and Development Division FINAL PROJECT REPORT  

E-Print Network (OSTI)

Energy Research and Development Division FINAL PROJECT REPORT THE ICHTHYOPLANKTON OF KING HARBOR, REDONDO BEACH, CALIFORNIA 19742006 APRIL 2008 CEC5002013053 Prepared for: California Energy Angeles, CA 90041 Contract Number: 500-04-025 Prepared for: California Energy Commission Joseph O

206

Model Validation  

Science Conference Proceedings (OSTI)

...thus establishing appropriate and important benchmarks. Benchmarking can go beyond validation and also measure relative computational speed, accuracy, and breadth for available modeling approaches and implementations, providing valuable information for users to discern the best models and for modelers...

207

CRC handbook of coastal processes and erosion  

Science Conference Proceedings (OSTI)

This text includes the following contents: Beach Processes - Erosion - An Introduction. Edge Waves and the Configuration of the Shoreline. Morphodynamics of Beaches and Surf Zones in Australia. The Erosion of Siletz Spit, Oregon. Barrier Islands. Patterns and Prediction of Shoreline Change. Models for Beach Profile Response. Erosion on the Great Lakes Due to Changes in the Water Level. Coastal Erosion in Response to the Construction of Jetties and Breakwaters. Computer Models of Shoreline Changes. Principles of Beach Nourishment. Processes of Sea Cliff and Platform Erosion. Beach Processes and Sea Cliff Erosion in San Diego County, California. Erosion of the United States Shoreline. Index.

Komar, P.D.

1983-01-01T23:59:59.000Z

208

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...

209

Context: Modeling  

Science Conference Proceedings (OSTI)

... Yang, JC; Huber, ML; Boyer, CI; 1995. Modeling of Hydrogen Fluoride Formation From Flame Suppressants During Combustion.. ...

2013-05-03T23:59:59.000Z

210

Modeling Portal  

Science Conference Proceedings (OSTI)

... News And Events. 24th NIST Computer Modeling Workshop. New Quantum Computing Algorithm Could Simulate Giant Particle Accelerators. ...

2011-02-14T23:59:59.000Z

211

Harbor Hills, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

39.9367314°, -82.4351542° 39.9367314°, -82.4351542° 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":39.9367314,"lon":-82.4351542,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

212

Oak Harbor, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Ohio: Energy Resources Ohio: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.5067173°, -83.1465875° 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":41.5067173,"lon":-83.1465875,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

213

Benton Harbor, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

1167065°, -86.4541894° 1167065°, -86.4541894° 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":42.1167065,"lon":-86.4541894,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

214

Lake Harbor, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

93122°, -80.8145058° 93122°, -80.8145058° 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":26.693122,"lon":-80.8145058,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

215

Stone Harbor, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

0509468°, -74.7579418° 0509468°, -74.7579418° 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":39.0509468,"lon":-74.7579418,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

216

Harbor View, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

6933811°, -83.4443765° 6933811°, -83.4443765° 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":41.6933811,"lon":-83.4443765,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

217

Center Harbor, New Hampshire: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

7097966°, -71.4603513° 7097966°, -71.4603513° 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":43.7097966,"lon":-71.4603513,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

218

Pages that link to "Grays Harbor Ocean Energy Company" | Open...  

Open Energy Info (EERE)

(20 | 50 | 100 | 250 | 500) Washington's 7th congressional district ( links) Seattle, Washington ( links) King County, Washington ( links) List of Companies...

219

Integrated Culture of Seaweeds and Red Abalone in Monterey Harbor  

E-Print Network (OSTI)

Project Hypotheses (1) Red algae and kelp can be effectivelyminimum quantity of red algae necessary to enhance abalonead libitum kelp plus 2.5% red algae per week; (3) ad libitum

Graham, Michael H.

2008-01-01T23:59:59.000Z

220

Grays Harbor PUD - Residential Energy Efficiency Loan Program...  

Open Energy Info (EERE)

Building Insulation, DuctAir sealing, Heat pumps, Programmable Thermostats, Windows, Geothermal Heat Pumps Active Incentive Yes Implementing Sector Utility Energy...

Note: This page contains sample records for the topic "beach harbors model" 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

Grays Harbor PUD - Residential Energy Efficiency Rebate Program...  

Open Energy Info (EERE)

DuctAir sealing, Heat pumps, Programmable Thermostats, Refrigerators, Water Heaters, Windows, Geothermal Heat Pumps Active Incentive Yes Implementing Sector Utility Energy...

222

Project Name Work Description -as Approv Aug 09 Anchorage Harbor,  

E-Print Network (OSTI)

in Gilchrist, Texas. Floodwaters from Hurricane Ike reportedly rose as high as eight feet in some areas causing operations at 29 of our 178 parks and access areas. We also con- sidered making the recreation season shorter- sibility of the administration and maintenance of selected areas. These actions led to the leasing of nine

US Army Corps of Engineers

223

HARBOR BRANCH OCEANOGRAPHIC INSTITUTE AT FLORIDA ATLANTIC UNIVERSITY  

E-Print Network (OSTI)

and HQ40 dissolved oxygen meters, YSI salinity and conductivity meters, PointfourTM CO2 meter, a CO2 gas meter, a gas tensionometer, YSI multiprobe meter, nine YSI 5200 water quality monitor and control with a temperaturecontrolled centrifuge, microhematocrit centrifuge, tissue homogenizers, freeze dryer, ultracold freezer

Fernandez, Eduardo

224

Harbor seals (Phoca vitulina) in Alaska occupy a geographically exten-  

E-Print Network (OSTI)

to a large-format aerial photography method to esti- mate seal abundance. During each aerial survey, shore of similar size. Aerial photography provided a permanent record of each survey, allowing both a reconcilia) from 1992 to 2001 in Johns Hopkins Inlet, the primary breeding site, which Comparison of survey methods

225

Numerical Modeling  

Science Conference Proceedings (OSTI)

Feb 28, 2011... or field repair, durability, weight and cost efficiency, and extreme climate. ... Cohesive zone model is implemented to investigate the interfacial...

226

PREDICTIVE MODELS  

Science Conference Proceedings (OSTI)

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding; 2) carbon dioxide miscible flooding; 3) in-situ combustion; 4) polymer flooding; and 5) steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.

Ray, R.M. (DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States))

1988-10-01T23:59:59.000Z

227

Biosystems Modeling  

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

Biosystems Modeling Biosystems Modeling Phantoms We are a leader nationally and internationally in the development of models and methods for predicting the behavior of radionuclides and chemicals in the body, assessing the health effects of environmental hazards, and determining the exposure-dose relationships for environmental pollutants. Our work has been a key resource to the medical community in providing the basis for dose estimates in nuclear medicine. Our tools and skills are also applicable to the areas of occupational health and safety, public health and safety, radiation protection, environmental dosimetry, and battlefield effects. Our technology base includes mathematical modeling, bone dosimetry, phantom development, and neutron dosimetry. Please direct any questions concerning the Biosystems Modeling Group to:

228

ISDAC Modeling  

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

Modeling Modeling Modeling of aerosol effects on Arctic stratiform clouds: Preliminary results from the ISDAC case study (poster 13J) Mikhail Ovchinnikov, Steve Ghan, Jiwen Fan, Xiaohong Liu (PNNL), Alexei Korolev, Peter Liu (Env. Canada) Shaocheng Xie (LLNL), Hugh Morrison (NCAR), ISDAC PI's, and members of the CMWG 2 Indirect Semi-Direct Aerosol Campaign Science questions: How do properties of the arctic aerosol during April differ from those measured during the MPACE in October? To what extent do the different properties of the arctic aerosol during April produce differences in the microphysical and macrophysical properties of clouds and the surface energy balance? To what extent can cloud models and the cloud parameterizations used in climate models simulate the sensitivity of arctic clouds and

229

OSPREY Model  

SciTech Connect

The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.

Veronica J. Rutledge

2013-01-01T23:59:59.000Z

230

Woodland Beach, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Michigan: Energy Resources Michigan: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.9400451°, -83.3132639° 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":41.9400451,"lon":-83.3132639,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

231

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

Open Energy Info (EERE)

New Jersey: Energy Resources New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.9556738°, -74.074303° 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":39.9556738,"lon":-74.074303,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

232

Juno Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

8797819°, -80.0533743° 8797819°, -80.0533743° 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":26.8797819,"lon":-80.0533743,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

233

Newport Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

3.6189101°, -117.9289469° 3.6189101°, -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":""}]}

234

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

Open Energy Info (EERE)

9331488°, -80.1625463° 9331488°, -80.1625463° 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":25.9331488,"lon":-80.1625463,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

235

Beach Haven, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

New Jersey: Energy Resources New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.5592848°, -74.2431962° 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":39.5592848,"lon":-74.2431962,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

236

North Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

27.7883605°, -80.4142177° 27.7883605°, -80.4142177° 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":27.7883605,"lon":-80.4142177,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

237

Beach Haven West, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Haven West, New Jersey: Energy Resources Haven West, New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.6698413°, -74.2318071° 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":39.6698413,"lon":-74.2318071,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

238

Atlantic Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

344077°, -81.398696° 344077°, -81.398696° 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":30.3344077,"lon":-81.398696,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

239

North Beach Haven, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Haven, New Jersey: Energy Resources Haven, New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.5731739°, -74.2315292° 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":39.5731739,"lon":-74.2315292,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

240

Seal Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search 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":""}]}

Note: This page contains sample records for the topic "beach harbors model" 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

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

Open Energy Info (EERE)

24°, -80.0533746° 24°, -80.0533746° 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":26.7153424,"lon":-80.0533746,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

242

Riviera Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

7753405°, -80.0580969° 7753405°, -80.0580969° 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":26.7753405,"lon":-80.0580969,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

243

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

Open Energy Info (EERE)

8233946°, -80.1386547° 8233946°, -80.1386547° 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":26.8233946,"lon":-80.1386547,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

244

Palm Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

06°, -80.0364297° 06°, -80.0364297° 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":26.7056206,"lon":-80.0364297,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

245

Winter Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

191964°, -80.4206071° 191964°, -80.4206071° 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":27.7191964,"lon":-80.4206071,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

246

Diamond Beach, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

8.9595572°, -74.8523914° 8.9595572°, -74.8523914° 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":38.9595572,"lon":-74.8523914,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

247

Salton Sea Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

3750346°, -116.0119455° 3750346°, -116.0119455° 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":33.3750346,"lon":-116.0119455,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

248

Vero Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

6386434°, -80.3972736° 6386434°, -80.3972736° 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":27.6386434,"lon":-80.3972736,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

249

Redondo Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

8491816°, -118.3884078° 8491816°, -118.3884078° 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":33.8491816,"lon":-118.3884078,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

250

Virginia Beach County, Virginia: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

County, Virginia: Energy Resources County, Virginia: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 36.7689068°, -76.0391909° 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":36.7689068,"lon":-76.0391909,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

251

Pine Beach, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

9.9359515°, -74.1709735° 9.9359515°, -74.1709735° 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":39.9359515,"lon":-74.1709735,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

252

Riviera Beach, Maryland: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

667757°, -76.5080177° 667757°, -76.5080177° 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":39.1667757,"lon":-76.5080177,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

253

Neptune Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

30.311908°, -81.3964734° 30.311908°, -81.3964734° 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":30.311908,"lon":-81.3964734,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

254

Village of Beach City, Ohio (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

City City Place Ohio Utility Id 1386 Utility Location Yes Ownership M NERC Location RFC NERC RFC Yes RTO PJM Yes Activity Buying 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 All Electric-In Commercial All Electric-Out Commercial Commercial Commercial Industrial Industrial RESIDENTlAL-IN Residential RESIDENTlAL-OUT Residential Sewer Plant Commercial Average Rates Residential: $0.0906/kWh Commercial: $0.0885/kWh Industrial: $0.0876/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from

255

Highland Beach, Maryland: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

303911°, -76.4657918° 303911°, -76.4657918° 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":38.9303911,"lon":-76.4657918,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

256

Craig Beach, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

41.1170017°, -80.9834247° 41.1170017°, -80.9834247° 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":41.1170017,"lon":-80.9834247,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

257

Laguna Beach, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

5422475°, -117.7831104° 5422475°, -117.7831104° 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":33.5422475,"lon":-117.7831104,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

258

Beach City, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

159°, -81.5809564° 159°, -81.5809564° 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":40.6531159,"lon":-81.5809564,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

259

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

Open Energy Info (EERE)

588958°, -80.0386522° 588958°, -80.0386522° 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":26.588958,"lon":-80.0386522,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

260

Fairfield Beach, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

39.9158975°, -82.4751561° 39.9158975°, -82.4751561° 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":39.9158975,"lon":-82.4751561,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "beach harbors model" 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

Miami Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

790654°, -80.1300455° 790654°, -80.1300455° 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":25.790654,"lon":-80.1300455,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

262

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

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

of their age and building systems they employ, can reduce energy consumption, save money, and offset greenhouse gas emissions by implementing low-cost, high-return energy...

263

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

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

including installing new electrical wiring, lighting, insulation, a solar hot water heater and an air-conditioning system. Additionally, the company installed a new...

264

California Beach Health: Evaluation of Grunion as an Indicator Species  

E-Print Network (OSTI)

Non-Tidal Rhythms. Author: Martin, K. L. M. Date: 2007 Bookharm grunion eggs? Authors: K. Martin, T. Speer-Blank, R.M. H. Horn, and K. L. M. Martin. Date: 2006 Bok Name: L.

Martin, Karen

2008-01-01T23:59:59.000Z

265

World Catalog of the Beach-Fly Family Canacidae (Diptera)  

E-Print Network (OSTI)

lessoni Australia NA EU556308 EU556266 Autropeplea ollula Philippines NA NA U82067 Autropeplea tomentosa, Quifangondo AF503573 AM921961 AY029550 Bullastra cumingiana Philippines, Luzon NA EU556314 U82068 Fossaria HQ283241 Lymnaea fuscus Germany, Westfallen AJ626855 AJ319622 NA Lymnaea gen. sp. Hawaii, Kauai NA NA

Mathis, Wayne N.

266

Beaches Energy Services - Solar Water Heating Rebate Program...  

Open Energy Info (EERE)

Incentive Programs Amount Solar Water Heater: 500 Equipment Requirements Must be Florida Solar Energy Center (FSEC) certified All system components must be new Systems must be...

267

Post-Earthquake Fire and Lifelines Workshop; Long Beach ...  

Science Conference Proceedings (OSTI)

... Don Manning, Chief Engineer, Los Angeles City Fire ... The poor performance of a substation due to ... surfaced as a weak link in upgraded substations. ...

1997-09-03T23:59:59.000Z

268

California Beach Health: Evaluation of Grunion as an Indicator Species  

E-Print Network (OSTI)

possible outcomes of desalination plants and ocean outletsabout possible impacts of desalination plants on grunion. An

Martin, Karen

2008-01-01T23:59:59.000Z

269

California Beach Health: Evaluation of Grunion as an Indicator Species  

E-Print Network (OSTI)

Tidepools. University of California Press. Page Numbers: Pp.previous dearth of data on California Grunion, we became theDevelopmental Staging of California Grunion in Normal and

Martin, Karen

2008-01-01T23:59:59.000Z

270

City of Long Beach - Residential Energy Efficiency and Solar...  

Open Energy Info (EERE)

condominiums, and livework units who purchase certain energy efficient appliances. Homeowners who install Energy Star certified windows, doors, skylights, roofs, tankless water...

271

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

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

together how the whole process pans out," said NJIT student and Project Architecture, Jordan Tait. New Jersey is the first team in the Solar Decathlon competition to use pre-cast...

272

Detroit Beach, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

311563°, -83.3268753° 311563°, -83.3268753° 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":41.9311563,"lon":-83.3268753,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

273

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

Open Energy Info (EERE)

7781183°, -80.0355962° 7781183°, -80.0355962° 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":26.7781183,"lon":-80.0355962,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

274

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

Open Energy Info (EERE)

4°, -80.2306019° 4°, -80.2306019° 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":26.7083984,"lon":-80.2306019,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

275

Golden Beach, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

5.9650919°, -80.1222671° 5.9650919°, -80.1222671° 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":25.9650919,"lon":-80.1222671,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

276

PGMA Model  

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

PGMA Model PGMA Model PM-G1-F1-012802.doc Revised January 28, 2002 Page 1 The PGMA (Policy, Guidance, Metrics, Assessments) was originally conceived as a model to provide the framework for developing the components for DOE Information Technology (IT) related policies. Its specific purpose is to drive the development of the four components and ensure a corresponding element within each component. The model components are: POLICY C A concise statement supporting the Department=s needs for quality business solutions. C Link to existing IT policy statements without redundancy. GUIDANCE C Documentation, templates, references, checklists, training, (using Web and other means) to provide implementation mechanisms and techniques for policy adherence.

277

Modelling I  

Science Conference Proceedings (OSTI)

Mar 15, 2012 ... Current Distribution and Lorentz Field Modelling Using Cathode Designs: A ... The electrical conductivity of the cathode-block and the collector bar is so ... load, creating a very uneven current distribution within the cathode.

278

Modelling approaches  

Science Conference Proceedings (OSTI)

Understanding and mitigating risks and threats to critical infrastructures relies heavily on the ability to construct and validate models often involving physical systems or even human intervention. This, together with the wide range of scales from critical ...

Nils Kalstad Svendsen; Stephen D. Wolthusen

2012-01-01T23:59:59.000Z

279

Batteries - Modeling  

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

Battery Modeling Over the last few decades, a broad range of battery technologies have been examined at Argonne for transportation applications. Today the focus is on lithium-ion...

280

PREDICTIVE MODELS  

SciTech Connect

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2) carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3) in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4) polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5) steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.

Ray, R.M. (DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States))

1986-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "beach harbors model" 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

Model replication: transformations to address model scalability  

Science Conference Proceedings (OSTI)

In model-driven engineering, it is often desirable to evaluate different design alternatives as they relate to scalability issues of the modeled system. A typical approach to address scalability is model replication, which starts by creating base models ... Keywords: domain-specific modeling, model transformation, model-driven engineering, scalability

Yuehua Lin; Jeff Gray; Jing Zhang; Steve Nordstrom; Aniruddha Gokhale; Sandeep Neema; Swapna Gokhale

2008-11-01T23:59:59.000Z

282

Face recognition using Hidden Markov Models  

E-Print Network (OSTI)

to be identified by simply walking past a surveillance camera. Hutcheson [38J reported that NeuroMet ric Vision Systems Inc., Pompano Beach, Florida, has designed a single-camera system with one DSP card, one frame grabber and a 5,000 face database, the cost... together by arcs and each time that a state j is entered, an observation is generated according to the multivariate Gaussian distribution bj ( Ot) with mean J-tj and covariance matrix Vj associated with that state. The arcs themselves have transition...

Samaria, Ferdinando Silvestro

1995-02-14T23:59:59.000Z

283

Criticality Model  

Science Conference Proceedings (OSTI)

The ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003) presents the methodology for evaluating potential criticality situations in the monitored geologic repository. As stated in the referenced Topical Report, the detailed methodology for performing the disposal criticality analyses will be documented in model reports. Many of the models developed in support of the Topical Report differ from the definition of models as given in the Office of Civilian Radioactive Waste Management procedure AP-SIII.10Q, ''Models'', in that they are procedural, rather than mathematical. These model reports document the detailed methodology necessary to implement the approach presented in the Disposal Criticality Analysis Methodology Topical Report and provide calculations utilizing the methodology. Thus, the governing procedure for this type of report is AP-3.12Q, ''Design Calculations and Analyses''. The ''Criticality Model'' is of this latter type, providing a process evaluating the criticality potential of in-package and external configurations. The purpose of this analysis is to layout the process for calculating the criticality potential for various in-package and external configurations and to calculate lower-bound tolerance limit (LBTL) values and determine range of applicability (ROA) parameters. The LBTL calculations and the ROA determinations are performed using selected benchmark experiments that are applicable to various waste forms and various in-package and external configurations. The waste forms considered in this calculation are pressurized water reactor (PWR), boiling water reactor (BWR), Fast Flux Test Facility (FFTF), Training Research Isotope General Atomic (TRIGA), Enrico Fermi, Shippingport pressurized water reactor, Shippingport light water breeder reactor (LWBR), N-Reactor, Melt and Dilute, and Fort Saint Vrain Reactor spent nuclear fuel (SNF). The scope of this analysis is to document the criticality computational method. The criticality computational method will be used for evaluating the criticality potential of configurations of fissionable materials (in-package and external to the waste package) within the repository at Yucca Mountain, Nevada for all waste packages/waste forms. The criticality computational method is also applicable to preclosure configurations. The criticality computational method is a component of the methodology presented in ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003). How the criticality computational method fits in the overall disposal criticality analysis methodology is illustrated in Figure 1 (YMP 2003, Figure 3). This calculation will not provide direct input to the total system performance assessment for license application. It is to be used as necessary to determine the criticality potential of configuration classes as determined by the configuration probability analysis of the configuration generator model (BSC 2003a).

A. Alsaed

2004-09-14T23:59:59.000Z

284

Century Model Product Available  

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

Century Model Available The ORNL DAAC announces the availability of a new model product. The model product "CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4...

285

Nuclear Models  

SciTech Connect

The atomic nucleus is a typical example of a many-body problem. On the one hand, the number of nucleons (protons and neutrons) that constitute the nucleus is too large to allow for exact calculations. On the other hand, the number of constituent particles is too small for the individual nuclear excitation states to be explained by statistical methods. Another problem, particular for the atomic nucleus, is that the nucleon-nucleon (n-n) interaction is not one of the fundamental forces of Nature, and is hard to put in a single closed equation. The nucleon-nucleon interaction also behaves differently between two free nucleons (bare interaction) and between two nucleons in the nuclear medium (dressed interaction).Because of the above reasons, specific nuclear many-body models have been devised of which each one sheds light on some selected aspects of nuclear structure. Only combining the viewpoints of different models, a global insight of the atomic nucleus can be gained. In this chapter, we revise the the Nuclear Shell Model as an example of the microscopic approach, and the Collective Model as an example of the geometric approach. Finally, we study the statistical properties of nuclear spectra, basing on symmetry principles, to find out whether there is quantum chaos in the atomic nucleus. All three major approaches have been rewarded with the Nobel Prize of Physics. In the text, we will stress how each approach introduces its own series of approximations to reduce the prohibitingly large number of degrees of freedom of the full many-body problem to a smaller manageable number of effective degrees of freedom.

Fossion, Ruben [Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Apartado Postal 70-543, Mexico D. F., C.P. 04510 (Mexico)

2010-09-10T23:59:59.000Z

286

Modelling osteomyelitis  

E-Print Network (OSTI)

-related Figure 2 Box plot representation of the gene expression of 82 genes corresponding to a) 48 osteomyelitis infected patients and b) 27 healthy controls). Li et al. BMC Bioinformatics 2012, 13(Suppl 14):S12 http... (2):206-215. 11. Li P, Merelli E, Paoletti N: Multiple verification in computational modeling of bone pathologies. CompMod 2011, 82-96. Li et al. BMC Bioinformatics 2012, 13(Suppl 14):S12 http://www.biomedcentral.com/bmcbioinformatics/supplements/13/S14/S12 Page...

Li, Pietro; Paoletti, Nicola; Moni, Mohammad A; Atwell, Kathryn; Merelli, Emanuela; Viceconti, Marco

2012-09-07T23:59:59.000Z

287

MODEL BASED ENTERPRISE  

Science Conference Proceedings (OSTI)

... Model 3564 STEELSHED, inc Model A-G22 HD Model 65-1 DIY Model AB344 ... 23 Bill identifies DIY Model AB344 as his choice and procures the ...

2010-12-21T23:59:59.000Z

288

Introducing the starlet sea anemone Nematostella vectensis as a model for investigating microbial mediation of health and disease in hexacorals  

E-Print Network (OSTI)

All animals in their natural state harbor complex communities of microbes including those that are beneficial (symbionts), neutral, or harmful (pathogens). The dynamic interactions between animals and their microbiota often ...

Har, Jia Yi

2009-01-01T23:59:59.000Z

289

Generative model transformer  

Science Conference Proceedings (OSTI)

The Generative Model Transformer (GMT) project is an Open Source initiative to build a Model Driven Architecure tool that allows fully customisable Platform Independent Models, Platform Description Models, Texture Mappings, and Refinement Transformations. ... Keywords: QVT, domain-specific languages, generative model transformer (GMT), model driven architecture (MDA), model transformation, open source

Jorn Bettin; Ghica van Emde Boas

2003-10-01T23:59:59.000Z

290

Hydrogen Delivery Analysis Models  

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

model for delivery system component costs and performance: Components Model Delivery scenario model for Urban and Rural Interstate markets and demand levels (Mkt....

291

Model interoperability in building information modelling  

Science Conference Proceedings (OSTI)

The exchange of design models in the design and construction industry is evolving away from 2-dimensional computer-aided design (CAD) and paper towards semantically-rich 3-dimensional digital models. This approach, known as Building Information Modelling ... Keywords: Building Information Modelling, Interoperability

Jim Steel; Robin Drogemuller; Bianca Toth

2012-02-01T23:59:59.000Z

292

I&C Modeling in SPAR Models  

SciTech Connect

The Standardized Plant Analysis Risk (SPAR) models for the U.S. commercial nuclear power plants currently have very limited instrumentation and control (I&C) modeling [1]. Most of the I&C components in the operating plant SPAR models are related to the reactor protection system. This was identified as a finding during the industry peer review of SPAR models. While the Emergency Safeguard Features (ESF) actuation and control system was incorporated into the Peach Bottom Unit 2 SPAR model in a recent effort [2], various approaches to expend resources for detailed I&C modeling in other SPAR models are investigated.

John A. Schroeder

2012-06-01T23:59:59.000Z

293

2002 EIA Models Directory  

U.S. Energy Information Administration (EIA)

The Personal Computer International Nuclear Model (PCINM) is a deterministic model used by the Energy Information Administration (EIA) to project ...

294

cell probe model  

Science Conference Proceedings (OSTI)

NIST. cell probe model. (definition). Definition: A model of computation where the cost of a computation is measured by the ...

2013-05-08T23:59:59.000Z

295

Use Our Model  

Science Conference Proceedings (OSTI)

... Use Our ModelContact Us. *. Bookmark and Share. Use Our Model. to Translate Research into the Classroom. The paper ...

2013-01-16T23:59:59.000Z

296

Transformer Modeling in the Common Information Model  

Science Conference Proceedings (OSTI)

The Common Information Model (CIM) International Electrotechnical Commission (IEC) 61970 model contains transformers. However, the modeling was based on the needs and requirements defined primarily by the transmission users. Because the CIM has been expanded into distribution and the distribution control center, there is a need to review the transformer model and ensure that the needs and requirements of both transmission and distribution are defined and included. This report proposes method to model tra...

2010-05-31T23:59:59.000Z

297

CALPHAD Modeling of Homogeneity Ranges  

Science Conference Proceedings (OSTI)

... Systems Page 3. Model Descriptions Stoichiometric model ? solids with fixed concentration Regular solution type model ? liquids ...

2009-05-28T23:59:59.000Z

298

Numerical Modeling of Coupled Groundwater and Surface Water Interactions in an Urban Setting  

Science Conference Proceedings (OSTI)

The Dominguez Channel Watershed (DCW), located in the southern portion of Los Angeles County (Figure A.1), drains about 345 square miles into the Los Angeles Harbor. The cities and jurisdictions in DCW are shown in Figure A.2. The largest of these include the cities of Los Angeles, Carson, and Torrance. This watershed is unique in that 93% of its land area is highly developed (i.e. urbanized). The watershed boundaries are defined by a complex network of storm drains and flood control channels, rather than being defined by natural topography. Table (1) shows a summary of different land uses in the Dominguez Channel Watershed (MEC, 2004). The Dominguez Watershed has the highest impervious area of all watersheds in the Los Angeles region. The more impervious the surface, the more runoff is generated during a storm. Storm water runoff can carry previously accumulated contaminants and transport them into receiving water systems. Point sources such as industrial wastewater and municipal sewage as well as urban runoff from commercial, residential, and industrial areas are all recognized as contributors to water quality degradation at DWC. Section 303(d) of the 1972 Federal Clean Water Act (CWA) requires states to identify and report all waters not meeting water quality standards and to develop action plans to pursue the water quality objectives. These plans specify the maximum amount of a given pollutant that the water body of concern can receive and still meet water quality standards. Such plans are called Total Maximum Daily Loads (TMDLs). TMDLs also specify allocations of pollutant loadings to point and non-point sources taking into account natural background pollutant levels. This demonstrates the importance of utilizing scientific tools, such as flow and transport models, to identify contaminant sources, understand integrated flow paths, and assess the effectiveness of water quality management strategies. Since overland flow is a very important component of the water balance and hydrology of DCW, a parallel, distributed watershed model that treats flow in groundwater and surface water in a dynamically coupled manner will be used to build a flow model of the watershed. This coupled model forms the basis for modeling and understanding the transport of contaminants through the Dominguez Channel Watershed, which can be used in designing and implementing TMDLs to manage the water quality in this basin. In this report, the coupled surface water-groundwater flow model of DCW will be presented. This flow model was calibrated against a storm that occurred in February 21st, 2004. The model and approach are explained further in the following sections.

Rihani, J F; Maxwell, R M

2007-09-26T23:59:59.000Z

299

Econometric structural models : a model selection approach.  

E-Print Network (OSTI)

??Using a model selection approach, this thesis proposes a constructive data-and-theory-combined procedure to identify model structures in the framework of a linear simultaneous equations system (more)

Chen, Pu

2002-01-01T23:59:59.000Z

300

The Common Land Model  

Science Conference Proceedings (OSTI)

The Common Land Model (CLM) was developed for community use by a grassroots collaboration of scientists who have an interest in making a general land model available for public use and further development. The major model characteristics include ...

Yongjiu Dai; Xubin Zeng; Robert E. Dickinson; Ian Baker; Gordon B. Bonan; Michael G. Bosilovich; A. Scott Denning; Paul A. Dirmeyer; Paul R. Houser; Guoyue Niu; Keith W. Oleson; C. Adam Schlosser; Zong-Liang Yang

2003-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "beach harbors model" 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

Modeling of geothermal systems  

DOE Green Energy (OSTI)

During the last decade the use of numerical modeling for geothermal resource evaluation has grown significantly, and new modeling approaches have been developed. In this paper we present a summary of the present status in numerical modeling of geothermal systems, emphasizing recent developments. Different modeling approaches are described and their applicability discussed. The various modeling tasks, including natural-state, exploitation, injection, multi-component and subsidence modeling, are illustrated with geothermal field examples. 99 refs., 14 figs.

Bodvarsson, G.S.; Pruess, K.; Lippmann, M.J.

1985-03-01T23:59:59.000Z

302

Reformulated Gasoline Complex Model  

Gasoline and Diesel Fuel Update (EIA)

Refiners Switch to Reformulated Refiners Switch to Reformulated Gasoline Complex Model Contents * Summary * Introduction o Table 1. Comparison of Simple Model and Complex Model RFG Per Gallon Requirements * Statutory, Individual Refinery, and Compliance Baselines o Table 2. Statutory Baseline Fuel Compositions * Simple Model * Complex Model o Table 3. Complex Model Variables * Endnotes Related EIA Short-Term Forecast Analysis Products * RFG Simple and Complex Model Spreadsheets * Areas Particpating in the Reformulated Gasoline Program * Environmental Regulations and Changes in Petroleum Refining Operations * Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model * Reformulated Gasoline Foreign Refinery Rules * Demand, Supply, and Price Outlook for Reformulated Motor Gasoline, 1995 , (Adobe

303

Modelling II and Measurement  

Science Conference Proceedings (OSTI)

Mar 15, 2012 ... Modeling Cathode Cooling Due to Power Interruption: Marc Dupuis1; Alton ... Modeling the Mass and Energy Balance of Different Aluminium...

304

Molegro Data Modeller  

Science Conference Proceedings (OSTI)

Dec 18, 2007 ... Molegro Data Modeller is a cross-platform application for Data Mining, Data Modelling, and Data Visualization. Features at a glance:

305

2002 EIA Models Directory  

U.S. Energy Information Administration (EIA)

DRI Model of the U.S. Economy. Ron Earley (202) 586-1398. World Oil Refining, Logistics, and Demand Model. Dan Butler (202) 586-9503 ...

306

ROCK PROPERTIES MODEL ANALYSIS MODEL REPORT  

SciTech Connect

The purpose of this Analysis and Model Report (AMR) is to document Rock Properties Model (RPM) 3.1 with regard to input data, model methods, assumptions, uncertainties and limitations of model results, and qualification status of the model. The report also documents the differences between the current and previous versions and validation of the model. The rock properties models are intended principally for use as input to numerical physical-process modeling, such as of ground-water flow and/or radionuclide transport. The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. This work was conducted in accordance with the following planning documents: WA-0344, ''3-D Rock Properties Modeling for FY 1998'' (SNL 1997, WA-0358), ''3-D Rock Properties Modeling for FY 1999'' (SNL 1999), and the technical development plan, Rock Properties Model Version 3.1, (CRWMS M&O 1999c). The Interim Change Notice (ICNs), ICN 02 and ICN 03, of this AMR were prepared as part of activities being conducted under the Technical Work Plan, TWP-NBS-GS-000003, ''Technical Work Plan for the Integrated Site Model, Process Model Report, Revision 01'' (CRWMS M&O 2000b). The purpose of ICN 03 is to record changes in data input status due to data qualification and verification activities. These work plans describe the scope, objectives, tasks, methodology, and implementing procedures for model construction. The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. The work scope for this activity consists of the following: (1) Conversion of the input data (laboratory measured porosity data, x-ray diffraction mineralogy, petrophysical calculations of bound water, and petrophysical calculations of porosity) for each borehole into stratigraphic coordinates; (2) Re-sampling and merging of data sets; (3) Development of geostatistical simulations of porosity; (4) Generation of derivative property models via linear coregionalization with porosity; (5) Post-processing of the simulated models to impart desired secondary geologic attributes and to create summary and uncertainty models; and (6) Conversion of the models into real-world coordinates. The conversion to real world coordinates is performed as part of the integration of the RPM into the Integrated Site Model (ISM) 3.1; this activity is not part of the current analysis. The ISM provides a consistent volumetric portrayal of the rock layers, rock properties, and mineralogy of the Yucca Mountain site and consists of three components: (1) Geologic Framework Model (GFM); (2) RPM, which is the subject of this AMR; and (3) Mineralogic Model. The interrelationship of the three components of the ISM and their interface with downstream uses are illustrated in Figure 1. Figure 2 shows the geographic boundaries of the RPM and other component models of the ISM.

Clinton Lum

2002-02-04T23:59:59.000Z

307

PREDICTIVE MODELS. Enhanced Oil Recovery Model  

SciTech Connect

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1 chemical flooding; 2 carbon dioxide miscible flooding; 3 in-situ combustion; 4 polymer flooding; and 5 steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.

Ray, R.M. [DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States)

1992-02-26T23:59:59.000Z

308

Surveying navigation modelling approaches  

Science Conference Proceedings (OSTI)

Recently, a number of authors who work on web application modelling have paid attention to the ideas regarding separation of concerns that underlie aspect-orientation, as well as some ideas that come from the model-driven development community. ... Keywords: internet, navigation modelling, separation of concerns, web application modelling, web engineering, web navigation

Antonia M. Reina-Quintero

2009-01-01T23:59:59.000Z

309

OSHWPP model programs guide  

SciTech Connect

Descriptions of model occupational health and safety programs implemented at DOE facilities are presented.

NONE

1995-06-01T23:59:59.000Z

310

Simplifying environmental model reuse  

Science Conference Proceedings (OSTI)

The environmental modelling community has developed many models with varying levels of complexity and functionality. Many of these have overlapping problem domains, have very similar 'science' and yet are not compatible with each other. The modelling ... Keywords: APSIM, Component, Framework independent, Interoperability, Model, Simulation

Dean P. Holzworth; Neil I. Huth; Peter G. de Voil

2010-02-01T23:59:59.000Z

311

Model Theory and Quantum  

E-Print Network (OSTI)

Model Theory and Quantum Groups Sonia L'Innocente Model Theory and Quantum Groups Sonia L'Innocente (University of Mons) Model Theory and Quantum Groups 1 / 40 #12;Model Theory and Quantum Groups Sonia L quantum plane, submitted. This work is inspired by Ivo Herzog's paper: The pseudo-finite dimensional

Mons-Hainaut, Université de

312

Control physical models  

Science Conference Proceedings (OSTI)

This paper describes design of model physical model of rectification column. Physical model is appointed as a demonstration system control for distillation by means of control system SIMATIC PCS7 from company SIEMENS. The SIMATIC PCS7 Process control ... Keywords: description, distillation, physical model, process control system

Tom Dvo?k; Jan Blek

2005-03-01T23:59:59.000Z

313

Model Products Available  

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

Available Available Archiving environmental data products has become recognized as a vital research practice: it improves our ability to reproduce results and perform additional analyses while saving the cost of redundant data collection activities. The same rationale applies to archiving numerical models. Archived models will provide the methodological detail of numerical modeling studies to recreate published modeling results, enabling the synthesis of results across modeling studies and the investigation of new hypotheses. In addition, archived models will allow determination of uncertainties for comparison with results from other models in assessment / policy studies. The model source code will also allow others to see how models treat individual processes. We are creating a two-tiered archive for numerical models. The first tier

314

Building Energy Modeling Library  

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

Modeling (BEM) Modeling (BEM) Library TDM - Amir Roth Ellen Franconi Rocky Mountain Institute Efranconi@rmi.org 303-567-8609 April 2, 2013 Photo by : Dennis Schroeder, NREL 23250 2 | Building Technologies Office eere.energy.gov Project Overview Building Energy Modeling (BEM) Library * Define and develop a best-practices BEM knowledge repository to improve modeling consistency and address training gaps * Raise energy modeling industry "techniques" to the same

315

Model interoperability via Model Driven Development  

Science Conference Proceedings (OSTI)

Among the factors that contribute to the inherent complexity of the software development process is the gap between the design and the formal analysis domains. Software design is often considered a human oriented task while the analysis phase draws on ... Keywords: Model Driven Development, Model interoperability, Petri Nets, Software development, UML

Mohamed A. Ameedeen; Behzad Bordbar; Rachid Anane

2011-03-01T23:59:59.000Z

316

Multiple model inference.  

SciTech Connect

This paper compares three approaches for model selection: classical least squares methods, information theoretic criteria, and Bayesian approaches. Least squares methods are not model selection methods although one can select the model that yields the smallest sum-of-squared error function. Information theoretic approaches balance overfitting with model accuracy by incorporating terms that penalize more parameters with a log-likelihood term to reflect goodness of fit. Bayesian model selection involves calculating the posterior probability that each model is correct, given experimental data and prior probabilities that each model is correct. As part of this calculation, one often calibrates the parameters of each model and this is included in the Bayesian calculations. Our approach is demonstrated on a structural dynamics example with models for energy dissipation and peak force across a bolted joint. The three approaches are compared and the influence of the log-likelihood term in all approaches is discussed.

Swiler, Laura Painton; Urbina, Angel

2010-07-01T23:59:59.000Z

317

Energy-consumption modelling  

SciTech Connect

A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.

Reiter, E.R.

1980-01-01T23:59:59.000Z

318

Predicting the behavior of nearshore feeder berms in the vicinity of Morro Bay, California  

E-Print Network (OSTI)

Being able to predict the final disposition of dredged material mounds is important in the planning of dredging operations. A computerized mathematical model, based on the sediment movement equations of Ackers and White, has been developed by the US Army Corps of Engineers. The model, called Long Term FATE (LTFATE), is a useful tool for making such predictions. The primary objective of this study is to compare the output from LTFATE with the actual movement of dredged material placement mounds placed in the vicinity of Morro Bay, CA in 1990. The secondary objective is to determine a mound shape that would provide the greatest benefit as a feeder berm, causing accretion on the nearby beach. The channel to the harbor at Morro Bay must be dredged on a regular basis, and the dredged material has historically been placed in a high-energy, nearshore area approximately 3 km (1.9 m) from the channel, and 200 m (650 ft) offshore of the MLW line. LTFATE was calibrated by being applied to two geometrically regularly shaped mounds: a cone, 200 m (660 ft) in diameter, and a log-shaped berm, 200 m (660 ft) x 400 m (1310 ft). These mounds were placed on a flat seabed. The model inputs were environmental variables measured during a study at Morro Bay in 1990. The Advanced Ocean Circulation Model ADCIRC was used to generate the wave heights and water levels. The model was then applied to the bathymetry of the mounds placed at Morro Bay, and the output compared to that measured at the site at the end of a five-month study. The mound movement predicted by the model differs from that shown by the final bathymetric study at Morro Bay, both in change of mound height and displacement of mound center of mass. Several reasons for these differences are given in the study. It is also shown that of the three mound configurations, for a given set of parameters, the log-shaped berm has the greatest horizontal displacement, indicating that if placed normal to the prevailing current and the shoreline, it would provide the greatest amount of sediment to accrete an adjacent beach.

Simon, Peter Arthur

2000-01-01T23:59:59.000Z

319

Model Validation Bernie Lesieutre  

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

Model Validation Model Validation Bernie Lesieutre University of Wisconsin lesieutre@wisc.edu 27 June 2013 Washington, DC DOE/OE Transmission Reliability Program 2 Project Objectives To Develop techniques and tools for PMU- and feature-based power system model validation. Background: Our prior proof-of-concept research demonstrated that feature-based sensitivity models can be used to calibrate power system dynamic models. This was applied to the WECC composite load model for oscillatory and FIDVR events. 3 Project Objectives PSLF simulation features features Sensitivity Model (parameters) Measured Data Simulated Data Features Error Adjust Parameters Technical Approach 4 Project Objectives Current Research: Use PMU data to calibrate power plant models. Four Tasks:

320

Sodar in Dispersion Modeling  

Science Conference Proceedings (OSTI)

Usefulness of sodar data for dispersion modeling has been highlighted. A case study of using sodar data in a simple Gaussian dispersion model to calculate ground-level concentration of particulate matter emitted from a cement plant has been ...

B. S. Gera; D. R. Pahwa; Neeraj Saxena; Gurbir Singh; Rakesh Aggarwal

1996-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "beach harbors model" 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

Modeling teleological interpretation  

Science Conference Proceedings (OSTI)

The paper presents a model of teleological interpretation of statutory legal rules as well as an example of the genuine law case, which has been modeled with use of established methodology. Keywords: argumentation, reasoning, teleological interpretation

Tomasz Zurek, Micha? Araszkiewicz

2013-06-01T23:59:59.000Z

322

Progress in Paleoclimate Modeling  

Science Conference Proceedings (OSTI)

This paper briefly surveys areas of paleoclimate modeling notable for recent progress. New ideas, including hypotheses giving a pivotal role to sea ice, have revitalized the low-order models used to simulate the time evolution of glacial cycles ...

Mark A. Cane; Pascale Braconnot; Amy Clement; Hezi Gildor; Sylvie Joussaume; Masa Kageyama; Myriam Khodri; Didier Paillard; Simon Tett; Eduardo Zorita

2006-10-01T23:59:59.000Z

323

Scenario Driven Data Modelling  

... an alert is generated that allows humans to query the model and a stored version of the data that matched the model. The high level steps of SDDM are as follows: ...

324

Modeling and Forecasting Aurora  

Science Conference Proceedings (OSTI)

Modeling the physical processes needed for forecasting space-weather events requires multiscale modeling. This article discusses several modelsresearchers use to treat the various auroral processes that influence space weather.

Dirk Lummerzheim

2007-01-01T23:59:59.000Z

325

Advanced material appearance modeling  

Science Conference Proceedings (OSTI)

For many years, appearance models in computer graphics focused on general models for reflectance functions coupled with texture maps. Recently, it has been recognized that even very common materials such as hair, skin, fabric, and rusting metal require ...

Julie Dorsey; Holly Rushmeier

2009-08-01T23:59:59.000Z

326

Facial modeling and animation  

Science Conference Proceedings (OSTI)

In this course we present an overview of the concepts and current techniques in facial modeling and animation. We introduce this research area by its history and applications. As a necessary prerequisite for facial modeling, data acquisition is discussed ...

Jrg Haber; Demetri Terzopoulos

2004-08-01T23:59:59.000Z

327

Anomaly General Circulation Models  

Science Conference Proceedings (OSTI)

Anomally models based on a spectral general circulation model (GCM) are formulated and applied to study of low-frequency atmospheric variability in the extratropics, and long-range forecasting research. A steady linear version of the anomaly ...

A. Navarra; K. Miyakoda

1988-05-01T23:59:59.000Z

328

Simple Models of Stratification  

Science Conference Proceedings (OSTI)

Simple analytical and numerical models of gratified circulation are discussed. The models are driven by buoyancy and mechanical forcing, and buoyancy diffusion is parameterized in term of diapycnal mass fluxes. The interior responds in typical ...

William K. Dewar

1991-12-01T23:59:59.000Z

329

AVESTAR® - Dynamic Modeling  

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

Dynamic Modeling Dynamic Modeling The AVESTAR team is pursuing research on the dynamic modeling and simulation of advanced energy systems ranging from power plants to power grids. Dynamic models provide a continuous view of energy systems in action by calculating their transient behavior over time. Plant-wide Models For power plants, dynamic models are used to analyze a wide variety of operating scenarios, including normal base load operation, startup, shutdown, feedstock switchovers, cycling, and load-following. Dynamic process and control models are also essential for analyzing plant responses to setpoint changes and disturbances, as well as malfunctions and abnormal situations. Other applications of plant-wide dynamic models include controllability and operational flexibility analyses, environmental studies, safety evaluations, and risk mitigation.

330

Combining climate model output via model correlations  

Science Conference Proceedings (OSTI)

Apr 9, 2010 ... we fit a statistical model linking the ensemble members explicitly through the .... for the domain (winds, temperature, moisture, etc.) are obtained .... ever, there are different dynamical features to the indi- .... Further, it is possible.

331

PREDICTIVE MODELS. Enhanced Oil Recovery Model  

SciTech Connect

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1 chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2 carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3 in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4 polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5 steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.

Ray, R.M. [DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States)

1992-02-26T23:59:59.000Z

332

Fuel Modeling II  

Science Conference Proceedings (OSTI)

Mar 4, 2013 ... Integrated Computational Modeling of Materials for Nuclear Energy: ... Continuum Theory of Defects and Materials Response to Irradiation:...

333

Boron: Modeling, Superconductivity  

Science Conference Proceedings (OSTI)

Oct 8, 2012 ... Boron, Boron Compounds, and Boron Nanomaterials: Structure, Properties, Processing and Applications: Boron: Modeling, Superconductivity

334

Modeling the Pacific Ocean  

SciTech Connect

Two numerical models utilizing primitive equations (two momentum equations and a mass continuity equation) simulate the oceanography of the Pacific Ocean from 20{degrees}S to 50{degrees}N. The authors examine the abundant model data through visualization , by animating the appropriate model fields and viewing the time history of each model simulation as a color movie. The animations are used to aid understanding of ocean circulation.

Johnson, M.A.; O' Brien, J.J. (Mesoscale Air-Sea Interaction Group, Florida State Univ., Tallahassee, FL (US))

1990-01-01T23:59:59.000Z

335

Manufacturing Modeling and Simulation  

Science Conference Proceedings (OSTI)

... An integrated data model for manufacturing activities will be defined ... Measurement science techniques, including classic statistics, will be applied ...

2013-01-04T23:59:59.000Z

336

The Java memory model  

Science Conference Proceedings (OSTI)

This paper describes the new Java memory model, which has been revised as part of Java 5.0. The model specifies the legal behaviors for a multithreaded program; it defines the semantics of multithreaded Java programs and partially determines legal implementations ... Keywords: Java, concurrency, memory model, multithreading

Jeremy Manson; William Pugh; Sarita V. Adve

2005-01-01T23:59:59.000Z

337

A Holographic Energy Model  

E-Print Network (OSTI)

We suggest a holographic energy model in which the energy coming from spatial curvature, matter and radiation can be obtained by using the particle horizon for the infrared cut-off. We show the consistency between the holographic dark-energy model and the holographic energy model proposed in this paper. Then, we give a holographic description of the universe.

P. Huang; Yong-Chang Huang

2012-12-30T23:59:59.000Z

338

A Holographic Energy Model  

E-Print Network (OSTI)

We suggest a holographic energy model in which the energy coming from spatial curvature, matter and radiation can be obtained by using the particle horizon for the infrared cut-off. We show the consistency between the holographic dark-energy model and the holographic energy model proposed in this paper. Then, we give a holographic description of the universe.

Huang, P

2013-01-01T23:59:59.000Z

339

Texture enhanced appearance models  

Science Conference Proceedings (OSTI)

Statistical region-based registration methods such as the active appearance model (AAM) are used for establishing dense correspondences in images. At low resolution, images correspondences can be recovered reliably in real-time. However, as resolution ... Keywords: Active appearance models, Atlases, Deformable models, Dimensionality reduction, Face images, Registration, Wavelets, Wedgelets

Rasmus Larsen; Mikkel B. Stegmann; Sune Darkner; Sren Forchhammer; Timothy F. Cootes; Bjarne Kjr Ersbll

2007-04-01T23:59:59.000Z

340

A Smooth Cloud Model  

Science Conference Proceedings (OSTI)

In this paper a large-eddy smooth cloud (SC) model will be presented with smooth implying that the entire model converges under a Newton-based solution procedure or that time scales within the SC model are being resolved. Besides ensuring that ...

J. M. Reisner; C. A. Jeffery

2009-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "beach harbors model" 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

Argonne GREET Model  

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

Laboratory Transportation Technology R&D Center DOE Logo Laboratory Transportation Technology R&D Center DOE Logo About TTRDC Mission Experts Facilities Tools Publications Awards Media Center Site Index Search TTRDC ... Search Argonne Home > Transportation Technology R & D Center > Modeling_simulation > Alternative Fuels Autonomie Batteries Engines Green Racing ... ... GREET * Fuel-Cycle Model * Power Water Model * Copyright Statement * Mini-tool and Results * Vehicle-Cycle Model * Publications * AFLEET Tool * Fleet Footprint Calculator * Travel Carbon Calculator * Workshops * Contact ... ... Hybrid Electric Vehicles Hydrogen & Fuel Cells Materials Modeling, Simulation & Software Plug-In Hybrid Electric Vehicles PSAT Smart Grid Student Competitions Transportation Research and Analysis Computing Center

342

Solar information process model  

DOE Green Energy (OSTI)

The MITRE Solar Information Process Model (SIP) is a computerized model that simulates information processes in solar markets. As such, it represents a useful tool in the formulation of solar information outreach programs. For each market investigated, SIP model outputs include prioritized listings of the information needs of key decision makers and other strategically important market participants, and related information flow paths. This report provides macro-descriptions of the model and its logic together with a detailed illustrative example of its application. It also presents the findings and conclusions resulting from utilization of the model in the analysis of information processes in eight solar markets within the residential, commercial and agricultural sectors.

Hewett, R.; Spewak, P.

1978-12-01T23:59:59.000Z

343

Numerical simulation of three-dimensional breaking waves on a gravel slope using a two-phase flow Navier-Stokes model  

Science Conference Proceedings (OSTI)

Wave breaking is mainly a three-dimensional flow problem characterized by wave energy dissipation due to turbulence. The understanding of the wave breaking mechanism on a beach is essential in studying coastal processes. The complexity of the wave-induced ... Keywords: CFD, Porous medium, Two phase, VOF, Wave breaking

P. Higuera; M. Del Jesus; J. L. Lara; I. J. Losada; Y. Guanche; G. Barajas

2013-07-01T23:59:59.000Z

344

Solar radiation model validation  

Science Conference Proceedings (OSTI)

Several mathematical models have been developed within the past few years which estimate the solar radiation from other weather variables. Some of these models have been used to generate data bases which are extensively used in the design and analysis of solar system. Three of these solar radiation models have been used in developing the Augmented SOLMET Solar Data Tapes for the 26 SOLMET sites and the 222 ERSATZ Solar Data Tapes. One of the models, a theoretical one, predicts the solar noon radiation for clear sky conditions from the optical air mass, precipitable water vapor and turbidity variables. A second model, an empirical one, predicts the hourly total horizontal radiation from meteorological variables. And, a third model, also an empirical one, predicts the hourly direct normal radiation from the hourly total horizontal radiation. A study of the accuracy of these three solar radiation models is reported here. To assess the accuracy of these models, data were obtained from several US National Weather Service Stations and other sources, used the models to estimate the solar-radiation, and then compared the modeled radiation values with observed radiation values. The results of these comparisons and conclusions regarding the accuracy of the models are presented.

Hall, I.J.; Prairie, R.R.; Anderson, H.E.; Boes, E.C.

1980-10-01T23:59:59.000Z

345

Rail-transportation modeling  

Science Conference Proceedings (OSTI)

Many different types of transportation models are used to model coal transportation by rail. To obtain realistic results, it is usually necessary to consider other modes in addition to rail and other commodities in addition to coal. For example, to know the potential bottlenecks on the rail system it is necessary to predict the total level of freight movement on the rail system. This requires modeling the movements of other commodities in addition to coal. To predict the levels of flows of both coal and non-coal commodities on the rail system, it is necessary to predict the share of total flows carried by rail. This requires accurate modeling of competing modes. To develop accurate rate models it is also necessary to have information on competing modes. This paper presents a collection of transportation models used to model the various aspects of coal transportation by rail and shows how they interact.

Tobin, R.L.

1982-01-01T23:59:59.000Z

346

Foam process models.  

Science Conference Proceedings (OSTI)

In this report, we summarize our work on developing a production level foam processing computational model suitable for predicting the self-expansion of foam in complex geometries. The model is based on a finite element representation of the equations of motion, with the movement of the free surface represented using the level set method, and has been implemented in SIERRA/ARIA. An empirically based time- and temperature-dependent density model is used to encapsulate the complex physics of foam nucleation and growth in a numerically tractable model. The change in density with time is at the heart of the foam self-expansion as it creates the motion of the foam. This continuum-level model uses an homogenized description of foam, which does not include the gas explicitly. Results from the model are compared to temperature-instrumented flow visualization experiments giving the location of the foam front as a function of time for our EFAR model system.

Moffat, Harry K.; Noble, David R.; Baer, Thomas A. (Procter & Gamble Co., West Chester, OH); Adolf, Douglas Brian; Rao, Rekha Ranjana; Mondy, Lisa Ann

2008-09-01T23:59:59.000Z

347

Model documentation: household model of energy  

Science Conference Proceedings (OSTI)

The Household Model of Energy is an econometric model, meaning that energy use is determined quantitatively with the use of economic variables such as fuel prices and income. HOME is also primarily a structural model, meaning that energy use is determined as the result of interactions of intermediate components such as the number of households, the end use fuel shares and the energy use per household. HOME forecasts energy consumption in all occupied residential structures (households) in the United States on an annual basis through 1990. The forecasts are made based upon a number of initial conditions in 1980, various estimated elasticities, various parameters and assumptions, and a set of forecasted fuel prices and income. In addition to the structural detail, HOME operates on a more disaggregated level. This includes four end-use services (space heating, water heating, air conditioning, and others), up to seven fuel/technology types (dependent upon the end use service), two housing types, four structure vintages, and four Census regions. When the model is run as a module in IFFS, a sharing scheme further disaggregates the model to 10 Federal regions.

Holte, J.A.

1984-02-01T23:59:59.000Z

348

Journeys Beyond the Standard Model  

E-Print Network (OSTI)

Chapter 1 Introduction The Standard Model (SM) of Particleresults of searches for the standard model Higgs boson in ppunderstand new physics. The Standard Model is incom- plete;

Elor, Gilly

2013-01-01T23:59:59.000Z

349

A Little Twin Higgs Model  

E-Print Network (OSTI)

introduced in these twin Higgs models. We leave thesequartic into the left-right twin Higgs model, leading to amechanism to the mirror twin Higgs model and established

Goh, Hock-Seng

2008-01-01T23:59:59.000Z

350

Jenseits des Standard Modells  

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

The Standard Model The Standard Model Unngelöste Rätsel Jenseits des Standard Modells Das Standard Modell gibt auf viele Fragen, über Struktur und Stabilität der Materie eine Antwort. Dazu braucht es nur die sechs Sorten von Quarks und Leptonen und die vier fundamentalen Kräfte. Aber das Standard Modell ist nicht vollständig; es gibt noch viele unbeantwortete Fragen. Eigentlich sollten wir aus Gründen der Symmetrie im Weltraum gleichviel Materie wie Antimaterie beobachten. Wir finden aber praktisch nur normale Materie! Warum? Woraus besteht die "Dunkle Materie", die wir nicht sehen können, die aber im Universum sichtbare Gravitationswirkungen zeigt? Warum kann das Standard Modell die Massen der Teilchen nicht vorhersagen? Sind Quarks and Leptonen wirklich fundamentae Teilchen, oder sind sie aus noch elementareren Partikeln aufgebaut?

351

Model-free Model-fitting and Predictive Distributions  

E-Print Network (OSTI)

Politis, D.N. (2007a). Model-free vs. model-based volatilityPolitis, D.N. (2007b). Model-free prediction, in Bulletin ofFurthermore, the model-free prediction principle can be

Politis, Dimitris N

2010-01-01T23:59:59.000Z

352

Improved steamflood analytical model  

E-Print Network (OSTI)

The Jeff Jones steamflood model incorporates oil displacement by steam as described by Myhill and Stegemeier, and a three-component capture factor based on empirical correlations. The main drawback of the model however is the unsatisfactory prediction of the oil production peak: usually significantly lower than the actual. Our study focuses on improving this aspect of the Jeff Jones model. In our study, we simulated the production performance of a 5-spot steamflood pattern unit and compared the results against those based on the Jeff Jones model. Three reservoir types were simulated using 3-D Cartesian black oil models: Hamaca (9?°API), San Ardo (12?°API) and that based on the SPE fourth comparative solution project (14?°API). In the first two field cases, a 45x23x8 model was used that represented 1/8 of a 10-acre 5-spot pattern unit, using typical rock and reservoir fluid properties. In the SPE project case, three models were used: 23x12x12 (2.5 ac), 31x16x12 (5 ac) and 45x23x8 (10 ac), that represented 1/8 of a 5-spot pattern unit. To obtain a satisfactory match between simulation and Jeff Jones analytical model results of the start and height of the production peak, the following refinements to the Jeff Jones model were necessary. First, the dimensionless steam zone size AcD was modified to account for decrease in oil viscosity during steamflood and its dependence on the steam injection rate. Second, the dimensionless volume of displaced oil produced VoD was modified from its square-root format to an exponential form. The modified model gave very satisfactory results for production performance up to 20 years of simulated steamflood, compared to the original Jeff Jones model. Engineers will find the modified model an improved and useful tool for prediction of steamflood production performance.

Chandra, Suandy

2005-08-01T23:59:59.000Z

353

HOMER Micropower Optimization Model  

DOE Green Energy (OSTI)

NREL has developed the HOMER micropower optimization model. The model can analyze all of the available small power technologies individually and in hybrid configurations to identify least-cost solutions to energy requirements. This capability is valuable to a diverse set of energy professionals and applications. NREL has actively supported its growing user base and developed training programs around the model. These activities are helping to grow the global market for solar technologies.

Lilienthal, P.

2005-01-01T23:59:59.000Z

354

Transport Model with Quasipions  

E-Print Network (OSTI)

We extend the normal transport model to include the medium effect on pions by treating them as quasiparticles. The property of the quasipion is determined using the delta-hole model. Modelling heavy-ion collisions at intermediate energies with the new transport equations, we find that it leads to an enhanced production of pions with low kinetic energies. This gives a plausible explanation for the observed enhancement of soft pions in the Bevalac experiments.

Xiong, L.; Ko, Che Ming; Koch, V.

1993-01-01T23:59:59.000Z

355

Introduction to Graphical Modelling  

E-Print Network (OSTI)

The aim of this chapter is twofold. In the first part we will provide a brief overview of the mathematical and statistical foundations of graphical models, along with their fundamental properties, estimation and basic inference procedures. In particular we will develop Markov networks (also known as Markov random fields) and Bayesian networks, which comprise most past and current literature on graphical models. In the second part we will review some applications of graphical models in systems biology.

Scutari, Marco

2010-01-01T23:59:59.000Z

356

Testing model assumptions in functional regression models  

Science Conference Proceedings (OSTI)

In the functional regression model where the responses are curves, new tests for the functional form of the regression and the variance function are proposed, which are based on a stochastic process estimating L^2-distances. Our approach avoids the explicit ... Keywords: 62G10, Functional data, Goodness-of-fit tests, Parametric bootstrap, Tests for heteroscedasticity

Axel Bcher; Holger Dette; Gabriele Wieczorek

2011-11-01T23:59:59.000Z

357

Autotune Building Energy Models  

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

Autotune Building Energy Models Autotune Building Energy Models Joshua New Oak Ridge National Laboratory newjr@ornl.gov, 865-241-8783 April 2, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * "All (building energy) models are wrong, but some are useful" - 22%-97% different from utility data for 3,349 buildings * More accurate models are more useful - Error from inputs and algorithms for practical reasons - Useful for cost-effective energy efficiency (EE) at speed and scale

358

Fuel Modeling I  

Science Conference Proceedings (OSTI)

Mar 4, 2013 ... Integrated Computational Modeling of Materials for Nuclear Energy: Fuel ... in the incorporation of rare gas fission products such as Kr and Xe.

359

MODEL ONLY - LANL  

model only doe/nnsa master june 1, 2006 1 lanl modular crada stevenson-wydler (15 usc 3710) cooperative research and development agreement (hereinafter "crada") no ...

360

Models of Holographic superconductivity  

E-Print Network (OSTI)

We construct general models for holographic superconductivity parametrized by three couplings which are functions of a real scalar field and show that under general assumptions they describe superconducting phase transitions. While some features are universal and model independent, important aspects of the quantum critical behavior strongly depend on the choice of couplings, such as the order of the phase transition and critical exponents of second-order phase transitions. In particular, we study a one-parameter model where the phase transition changes from second to first order above some critical value of the parameter and a model with tunable critical exponents.

Francesco Aprile; Jorge G. Russo

2009-12-02T23:59:59.000Z

Note: This page contains sample records for the topic "beach harbors model" 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

Modeling & Simulation - Fuel Cells  

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

GCTool Computer Model Helps Focus Fuel Cell Vehicle Research Somewhere near Detroit, an automotive engineer stares at the ceiling, wondering how to squeeze 1% more efficiency out...

362

SOME OCEAN MODEL FUNDAMENTALS  

E-Print Network (OSTI)

The purpose of these lectures is to present elements of the equations and algorithms used in numerical models of the large-scale ocean circulation. Such models generally integrate the oceans primitive equations, which are based on Newtons Laws applied to a continuum fluid under hydrostatic balance in a spherical geometry, along with linear irreversible thermodynamics and subgrid scale (SGS) parameterizations. During formulations of both the kinematics and dynamics, we highlight issues related to the use of a generalized vertical coordinate. The vertical coordinate is arguably the most critical element determining how a model is designed and applications to which a model is of use.

Stephen M. Griffies

2005-01-01T23:59:59.000Z

363

Advanced Mixing Models  

Propose mixing indicators. Turbulence kinetic energy ... (Turbulence intensity observed at Point 8 in Tank B & C) Advanced Mixing Models. Computational Sciences. 13.

364

Regional Climate Information & Modeling  

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

Information & Modeling Print E-mail The specific impacts and vulnerabilities posed by climate change are largely defined by regional differences 9in things like geography,...

365

The Four Step Model  

E-Print Network (OSTI)

of models of trip generation, distribution, and diversion inspecified through generation, distribution, mode choice, andestimate trip generation, trip distribution, and mode choice

McNally, Michael G.

2008-01-01T23:59:59.000Z

366

Modelling household electricity consumption.  

E-Print Network (OSTI)

??A number of conclusions are drawn, however given the limited and non-representative na- ture of the data on which the model is calibrated, these can (more)

de la Rue, Philip Martin

2010-01-01T23:59:59.000Z

367

Matrix models - Springer  

Science Conference Proceedings (OSTI)

Duijndam WAL, Duijn P van (1975 b) The influence of chromatin compactness on the stoichiometry of the Feulgen-Schiff proce- dure studied in model films.

368

Practical Models Supporting  

Practical Models Supporting Remediation of Chlorinated Solvents Training Course. The Center for Sustainable Soil and Groundwater Solutions holds training courses on ...

369

History of Geochemical Modeling  

Science Conference Proceedings (OSTI)

Table 1   Sources of geochemical modeling software...www.telusplanet.net/public/geogams/index SOLVEQ/CHILLER Mark H. Reed Department of Geological

370

Fragen zum Standard Modell  

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

Quiz What is Fundamental? Fragen zum Standard Modell Frage: Aus wievielen elementaren Teilchen sind die mehr als hundert bekannten Teilchen aufgebaut? Antwort 6 Quarks, 6 Leptonen,...

371

Photovoltaics Business Models  

DOE Green Energy (OSTI)

This report summarizes work to better understand the structure of future photovoltaics business models and the research, development, and demonstration required to support their deployment.

Frantzis, L.; Graham, S.; Katofsky, R.; Sawyer, H.

2008-02-01T23:59:59.000Z

372

Modeling and Simulation  

Science Conference Proceedings (OSTI)

"Applying Technical Cost Modeling to the Metals Industry" (Overview), R. Bhatkal and J. Busch, April 1998, pp. 27-28. "Assessing the Affordability of Emerging...

373

Photovoltaic array performance model.  

DOE Green Energy (OSTI)

This document summarizes the equations and applications associated with the photovoltaic array performance model developed at Sandia National Laboratories over the last twelve years. Electrical, thermal, and optical characteristics for photovoltaic modules are included in the model, and the model is designed to use hourly solar resource and meteorological data. The versatility and accuracy of the model has been validated for flat-plate modules (all technologies) and for concentrator modules, as well as for large arrays of modules. Applications include system design and sizing, 'translation' of field performance measurements to standard reporting conditions, system performance optimization, and real-time comparison of measured versus expected system performance.

Kratochvil, Jay A.; Boyson, William Earl; King, David L.

2004-08-01T23:59:59.000Z

374

Simulation and Modeling  

Science Conference Proceedings (OSTI)

Mar 6, 2013... 5Key Laboratory of Unconventional Metallurgy, Kunming University of ... fluid flow and fuel oil heat and mass transfer mathematical model for...

375

Nuclear Fuels - Modeling  

Science Conference Proceedings (OSTI)

Mar 12, 2012... for the Current and Advanced Nuclear Reactors: Nuclear Fuels - Modeling .... Using density functional theory (DFT), we have predicted that...

376

Lagrangian Drifter Dispersion in the Surf Zone: Directionally Spread, Normally Incident Waves  

Science Conference Proceedings (OSTI)

Lagrangian drifter statistics in a surf zone wave and circulation model are examined and compared to single- and two-particle dispersion statistics observed on an alongshore uniform natural beach with small, normally incident, directionally ...

Matthew Spydell; Falk Feddersen

2009-04-01T23:59:59.000Z

377

Local model network identification for online engine modelling  

Science Conference Proceedings (OSTI)

In this paper an evolving local model network (LMN) which is especially suited for engine modelling is presented and discussed. The incremental construction of the model tree allows to gradually increase the model complexity while a proper initialisation ... Keywords: Engine modelling, Incremental learning, Local model network, Online learning

Christoph Hametner; Stefan Jakubek

2013-01-01T23:59:59.000Z

378

Transforming object-oriented models to process-oriented models  

Science Conference Proceedings (OSTI)

Object-oriented modelling is an established approach to document the information systems. In an object model, a system is captured in terms of object types and associations, state machines, collaboration diagrams, etc. Process modeling on the other hand, ... Keywords: model transformation, object model, process model

Guy Redding; Marlon Dumas; Arthur H. M. Ter Hofstede; Adrian Iordachescu

2007-09-01T23:59:59.000Z

379

Generic-model based human-body modeling  

Science Conference Proceedings (OSTI)

This paper presents a generic-model based human-body modeling method which take the anatomical structure of the human body into account. The generic model contains anatomical structure of bones and muscles of the human body. For a given target skin mesh, ... Keywords: anatomically-based modeling, generic model, human body modeling

Xiaomao Wu; Lizhuang Ma; Ke-Sen Huang; Yan Gao; Zhihua Chen

2005-09-01T23:59:59.000Z

380

Groundwater Model Validation  

SciTech Connect

Models have an inherent uncertainty. The difficulty in fully characterizing the subsurface environment makes uncertainty an integral component of groundwater flow and transport models, which dictates the need for continuous monitoring and improvement. Building and sustaining confidence in closure decisions and monitoring networks based on models of subsurface conditions require developing confidence in the models through an iterative process. The definition of model validation is postulated as a confidence building and long-term iterative process (Hassan, 2004a). Model validation should be viewed as a process not an end result. Following Hassan (2004b), an approach is proposed for the validation process of stochastic groundwater models. The approach is briefly summarized herein and detailed analyses of acceptance criteria for stochastic realizations and of using validation data to reduce input parameter uncertainty are presented and applied to two case studies. During the validation process for stochastic models, a question arises as to the sufficiency of the number of acceptable model realizations (in terms of conformity with validation data). Using a hierarchical approach to make this determination is proposed. This approach is based on computing five measures or metrics and following a decision tree to determine if a sufficient number of realizations attain satisfactory scores regarding how they represent the field data used for calibration (old) and used for validation (new). The first two of these measures are applied to hypothetical scenarios using the first case study and assuming field data consistent with the model or significantly different from the model results. In both cases it is shown how the two measures would lead to the appropriate decision about the model performance. Standard statistical tests are used to evaluate these measures with the results indicating they are appropriate measures for evaluating model realizations. The use of validation data to constrain model input parameters is shown for the second case study using a Bayesian approach known as Markov Chain Monte Carlo. The approach shows a great potential to be helpful in the validation process and in incorporating prior knowledge with new field data to derive posterior distributions for both model input and output.

Ahmed E. Hassan

2006-01-24T23:59:59.000Z

Note: This page contains sample records for the topic "beach harbors model" 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

Biosphere Process Model Report  

Science Conference Proceedings (OSTI)

To evaluate the postclosure performance of a potential monitored geologic repository at Yucca Mountain, a Total System Performance Assessment (TSPA) will be conducted. Nine Process Model Reports (PMRs), including this document, are being developed to summarize the technical basis for each of the process models supporting the TSPA model. These reports cover the following areas: (1) Integrated Site Model; (2) Unsaturated Zone Flow and Transport; (3) Near Field Environment; (4) Engineered Barrier System Degradation, Flow, and Transport; (5) Waste Package Degradation; (6) Waste Form Degradation; (7) Saturated Zone Flow and Transport; (8) Biosphere; and (9) Disruptive Events. Analysis/Model Reports (AMRs) contain the more detailed technical information used to support TSPA and the PMRs. The AMRs consists of data, analyses, models, software, and supporting documentation that will be used to defend the applicability of each process model for evaluating the postclosure performance of the potential Yucca Mountain repository system. This documentation will ensure the traceability of information from its source through its ultimate use in the TSPA-Site Recommendation (SR) and in the National Environmental Policy Act (NEPA) analysis processes. The objective of the Biosphere PMR is to summarize (1) the development of the biosphere model, and (2) the Biosphere Dose Conversion Factors (BDCFs) developed for use in TSPA. The Biosphere PMR does not present or summarize estimates of potential radiation doses to human receptors. Dose calculations are performed as part of TSPA and will be presented in the TSPA documentation. The biosphere model is a component of the process to evaluate postclosure repository performance and regulatory compliance for a potential monitored geologic repository at Yucca Mountain, Nevada. The biosphere model describes those exposure pathways in the biosphere by which radionuclides released from a potential repository could reach a human receptor. Collectively, the potential human receptor and exposure pathways form the biosphere model. More detailed technical information and data about potential human receptor groups and the characteristics of exposure pathways have been developed in a series of AMRs and Calculation Reports.

J. Schmitt

2000-05-25T23:59:59.000Z

382

Epidemic modeling techniques for smallpox  

E-Print Network (OSTI)

Infectious disease models predict the impact of outbreaks. Discrepancies between model predictions stem from both the disease parameters used and the underlying mathematics of the models. Smallpox has been modeled extensively ...

McLean, Cory Y. (Cory Yuen Fu)

2004-01-01T23:59:59.000Z

383

Model Driven Security Functional Testing  

Science Conference Proceedings (OSTI)

Model Driven Security Functional Testing. Summary: Model-Driven Engineering (MDE) is emerging as a promising approach ...

2013-01-15T23:59:59.000Z

384

Modeling for Insights  

Science Conference Proceedings (OSTI)

System Dynamics is a computer-aided approach to evaluating the interrelationships of different components and activities within complex systems. Recently, System Dynamics models have been developed in areas such as policy design, biological and medical modeling, energy and the environmental analysis, and in various other areas in the natural and social sciences. The real power of System Dynamic modeling is gaining insights into total system behavior as time, and system parameters are adjusted and the effects are visualized in real time. System Dynamic models allow decision makers and stakeholders to explore long-term behavior and performance of complex systems, especially in the context of dynamic processes and changing scenarios without having to wait decades to obtain field data or risk failure if a poor management or design approach is used. The Idaho National Laboratory recently has been developing a System Dynamic model of the US Nuclear Fuel Cycle. The model is intended to be used to identify and understand interactions throughout the entire nuclear fuel cycle and suggest sustainable development strategies. This paper describes the basic framework of the current model and presents examples of useful insights gained from the model thus far with respect to sustainable development of nuclear power.

Jacob J. Jacobson; Gretchen Matthern

2007-04-01T23:59:59.000Z

385

Nonparametric combinatorial sequence models  

Science Conference Proceedings (OSTI)

This work considers biological sequences that exhibit combinatorial structures in their composition: groups of positions of the aligned sequences are "linked" and covary as one unit across sequences. If multiple such groups exist, complex interactions ... Keywords: Chinese restaurant franchise, Chinese restaurant process, MHC binding, mixture models, sequence models

Fabian L. Wauthier; Michael I. Jordan; Nebojsa Jojic

2011-03-01T23:59:59.000Z

386

Articular human joint modelling  

Science Conference Proceedings (OSTI)

The work reported in this paper encapsulates the theories and algorithms developed to drive the core analysis modules of the software which has been developed to model a musculoskeletal structure of anatomic joints. Due to local bone surface and contact ... Keywords: 6DOF, Joint Modelling, Software, Tissue wrapping, bilateral, constraints, forced contact based articulation, unilateral

Ibrahim i. Esat; Neviman Ozada

2010-03-01T23:59:59.000Z

387

Modeling the Loss Distribution  

Science Conference Proceedings (OSTI)

In this paper, we focus on modeling and predicting the loss distribution for credit risky assets such as bonds and loans. We model the probability of default and the recovery rate given default based on shared covariates. We develop a new class of default ... Keywords: Basel II, default prediction, loss distribution, recovery rates

Sudheer Chava; Catalina Stefanescu; Stuart Turnbull

2011-07-01T23:59:59.000Z

388

Solar radiation modelling  

Science Conference Proceedings (OSTI)

The Sun is the main energy source of the life on the Earth. Thus, solar radiation energy data and models are important for many areas of research and applications. Many parameters influence the amount of solar energy at a particular standing point of ... Keywords: Digital elevation model, Energy of quasiglobal radiation, Meteorology, Shadows, Virtual Sun motion

Klemen Zakek; Toma Podobnikar; Kritof Otir

2005-03-01T23:59:59.000Z

389

Composite Load Model Evaluation  

Science Conference Proceedings (OSTI)

The WECC load modeling task force has dedicated its effort in the past few years to develop a composite load model that can represent behaviors of different end-user components. The modeling structure of the composite load model is recommended by the WECC load modeling task force. GE Energy has implemented this composite load model with a new function CMPLDW in its power system simulation software package, PSLF. For the last several years, Bonneville Power Administration (BPA) has taken the lead and collaborated with GE Energy to develop the new composite load model. Pacific Northwest National Laboratory (PNNL) and BPA joint force and conducted the evaluation of the CMPLDW and test its parameter settings to make sure that: the model initializes properly, all the parameter settings are functioning, and the simulation results are as expected. The PNNL effort focused on testing the CMPLDW in a 4-bus system. An exhaustive testing on each parameter setting has been performed to guarantee each setting works. This report is a summary of the PNNL testing results and conclusions.

Lu, Ning; Qiao, Hong (Amy)

2007-09-30T23:59:59.000Z

390

Models for universal usability  

Science Conference Proceedings (OSTI)

This paper discusses how model-based approaches can support designers and developers to address a number of challenges raised by universal usability, such as the possibility of obtaining user interfaces able to adapt to any device and usability evaluation ... Keywords: abstract user interfaces, authoring environments, heterogeneous clients, multi-platform user interfaces, remote evaluation, task Models

Fabio Patern

2003-11-01T23:59:59.000Z

391

Fitting Zodiacal Models  

E-Print Network (OSTI)

Models of the zodiacal light are necessary to convert measured data taken from low Earth orbit into the radiation field outside the solar system. The uncertainty in these models dominates the overall uncertainty in determining the extragalactic background light for wavelengths < 100 microns.

Edward L. Wright

2001-06-22T23:59:59.000Z

392

model | OpenEI  

Open Energy Info (EERE)

model model Dataset Summary Description NREL's Research and Support Facility (RSF) energy model for 2011. Source NREL Date Released February 07th, 2013 (10 months ago) Date Updated Unknown Keywords 2011 energy model NREL RSF Data text/csv icon rsf_energy_model_2011.csv (csv, 772 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating. Dataset Summary Description

393

Thermodynamic Modeling Studies  

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

Modeling Studies Modeling Studies J. Lindner, L. T. Smith, J. C. Luthe, L. Pearson. R. K. Toghiani, Y. Xia, and P. Naik Institute for Clean Energy Technology Mississippi State University May 20,2009 Initial Tank Composition Remove liquid to reflect undrained saltcake Stage 1 Dissolution Remove transfer stream 1 liquids transfer stream 0 liquids recycle solids liquids transfer stream 1 liquids recycle solids Next Stage of Dissolution DWPF recycle Thermodynamic Modeling Studies 2 Overview of Presentation * Database Activities and Needs * C farm retrievals and neural network development * Thermodynamic data and computational methods for liquid waste flowsheet modeling (SRS) * Aluminum solubility studies Thermodynamic Modeling Studies 3 Database Activities and Needs * Earlier a mid-term study addressed the solubility of a number of systems if

394

XAFS Model Compound Library  

DOE Data Explorer (OSTI)

The XAFS Model Compound Library contains XAFS data on model compounds. The term "model" compounds refers to compounds of homogeneous and well-known crystallographic or molecular structure. Each data file in this library has an associated atoms.inp file that can be converted to a feff.inp file using the program ATOMS. (See the related Searchable Atoms.inp Archive at http://cars9.uchicago.edu/~newville/adb/) This Library exists because XAFS data on model compounds is useful for several reasons, including comparing to unknown data for "fingerprinting" and testing calculations and analysis methods. The collection here is currently limited, but is growing. The focus to date has been on inorganic compounds and minerals of interest to the geochemical community. [Copied, with editing, from http://cars9.uchicago.edu/~newville/ModelLib/

Newville, Matthew

395

Criticality Model Report  

Science Conference Proceedings (OSTI)

The purpose of the ''Criticality Model Report'' is to validate the MCNP (CRWMS M&O 1998h) code's ability to accurately predict the effective neutron multiplication factor (k{sub eff}) for a range of conditions spanned by various critical configurations representative of the potential configurations commercial reactor assemblies stored in a waste package may take. Results of this work are an indication of the accuracy of MCNP for calculating eigenvalues, which will be used as input for criticality analyses for spent nuclear fuel (SNF) storage at the proposed Monitored Geologic Repository. The scope of this report is to document the development and validation of the criticality model. The scope of the criticality model is only applicable to commercial pressurized water reactor fuel. Valid ranges are established as part of the validation of the criticality model. This model activity follows the description in BSC (2002a).

J.M. Scaglione

2003-03-12T23:59:59.000Z

396

Use dispersion modeling update  

SciTech Connect

This paper discusses EPA's long-awaited update to the Industrial Source Complex (ISC) dispersion models which provides computer-software to comply with National Ambient Air Quality Standards. Moreover, the ISC2 models's Fortran codes are available from EPA at no cost, in a form compatible with desktop computers. This is a plus for hydrocarbon processing industry (HPI) environmental control professionals. ISC2 will be used for all future regulatory applications where dispersion modeling is required for facilities in simple terrain. Process engineers sometimes use ISC models and are often called upon to assist in developing emissions estimates that the program uses to calculate air quality impacts. The model challenges users because it can represent a variety of configurations for emissions sources. Title III of the Clean Air Act Amendments is an entirely new section dealing with air toxics such as those in the HPI. EPA is required to develop a list of maximum achievable control technologies (MACT) for these compounds.

Freiman, J.P.; Hill, J. (Bechtel Environmental, Inc., Houston, TX (US))

1992-08-01T23:59:59.000Z

397

VENTILATION MODEL REPORT  

SciTech Connect

The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their postclosure analyses.

V. Chipman

2002-10-31T23:59:59.000Z

398

Direct insolation models  

DOE Green Energy (OSTI)

Several recently published models of the direct component of the broadband insolation are compared for clear sky conditions. The comparison includes seven simple models and one rigorous model that is used as a basis for determining accuracy. Where possible, the comparison is made between the results of each model for each atmospheric constituent (H/sub 2/O, CO/sub 2/, O/sub 3/, O/sub 2/, aerosol and molecular scattering) separately as well as for the combined effect of all of the constituents. Two optimum simple models of varying degrees of complexity are developed as a result of this comparison. The study indicates: aerosols dominate the attenuation of the direct beam for reasonable atmospheric conditions; molecular scattering is next in importance; water vapor is an important absorber; and carbon dioxide and oxygen are relatively unimportant as attenuators of the broadband solar energy.

Bird, R.; Hulstrom, R.L.

1980-01-01T23:59:59.000Z

399

Global ice sheet modeling  

Science Conference Proceedings (OSTI)

The University of Maine conducted this study for Pacific Northwest Laboratory (PNL) as part of a global climate modeling task for site characterization of the potential nuclear waste respository site at Yucca Mountain, NV. The purpose of the study was to develop a global ice sheet dynamics model that will forecast the three-dimensional configuration of global ice sheets for specific climate change scenarios. The objective of the third (final) year of the work was to produce ice sheet data for glaciation scenarios covering the next 100,000 years. This was accomplished using both the map-plane and flowband solutions of our time-dependent, finite-element gridpoint model. The theory and equations used to develop the ice sheet models are presented. Three future scenarios were simulated by the model and results are discussed.

Hughes, T.J.; Fastook, J.L. [Univ. of Maine, Orono, ME (United States). Institute for Quaternary Studies

1994-05-01T23:59:59.000Z

400

Modelling the carbon system  

E-Print Network (OSTI)

ABSTRACT. Claims that forest cutting (luring the last few decades has contributed significantly to the buildup in atmospheric CO2 have cast doubt on the validity of models used to estimate CO. uptake by the ocean. In this paper we review the existing models and conclude that the box-diffusion model of Oeschger and his co-workers provides an excellent fit to the average distributions of natural and bomb-produced radiocarbon. We also take the first steps toward a more detailed ocean model which takes into account upwelling in the equatorial zone and deep water formation in the polar zone. The model is calibrated using the distribution of bomb-produced and cosmic ray-produced radiocarbon in the ocean. Preliminary calculations indicate that the fossil fuel CO2 uptake by this model will be greater than that by the box-diffusion model of Oeschger and others (1975) but not great enough to accommodate a significant decline in the mass of the terrestrial biosphere over the past two decades.

Wallace S Broecker; Tsung-hung Peng; Richard Engh

1980-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "beach harbors model" 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

SPAR Model Structural Efficiencies  

SciTech Connect

The Nuclear Regulatory Commission (NRC) and the Electric Power Research Institute (EPRI) are supporting initiatives aimed at improving the quality of probabilistic risk assessments (PRAs). Included in these initiatives are the resolution of key technical issues that are have been judged to have the most significant influence on the baseline core damage frequency of the NRCs Standardized Plant Analysis Risk (SPAR) models and licensee PRA models. Previous work addressed issues associated with support system initiating event analysis and loss of off-site power/station blackout analysis. The key technical issues were: Development of a standard methodology and implementation of support system initiating events Treatment of loss of offsite power Development of standard approach for emergency core cooling following containment failure Some of the related issues were not fully resolved. This project continues the effort to resolve outstanding issues. The work scope was intended to include substantial collaboration with EPRI; however, EPRI has had other higher priority initiatives to support. Therefore this project has addressed SPAR modeling issues. The issues addressed are SPAR model transparency Common cause failure modeling deficiencies and approaches Ac and dc modeling deficiencies and approaches Instrumentation and control system modeling deficiencies and approaches

John Schroeder; Dan Henry

2013-04-01T23:59:59.000Z

402

Analytical Modeling | Open Energy Information  

Open Energy Info (EERE)

Analytical Modeling Analytical Modeling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Analytical Modeling Details Activities (1) Areas (1) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Dictionary.png Analytical Modeling: A mathematical modeling technique used for simulating, explaining, and making predictions about the mechanisms involved in complex physical processes. Other definitions:Wikipedia Reegle Introduction Analytical models are mathematical models that have a closed form solution. Or in other words the solution to the equations used to describe changes in

403

Model of detached plasmas  

SciTech Connect

Recently a tokamak plasma was observed in TFTR that was not limited by a limiter or a divertor. A model is proposed to explain this equilibrium, which is called a detached plasma. The model consists of (1) the core plasma where ohmic heating power is lost by anomalous heat conduction and (2) the shell plasma where the heat from the core plasma is radiated away by the atomic processes of impurity ions. A simple scaling law is proposed to test the validity of this model.

Yoshikawa, S.; Chance, M.

1986-07-01T23:59:59.000Z

404

Modeling Compressed Turbulence  

Science Conference Proceedings (OSTI)

From ICE to ICF, the effect of mean compression or expansion is important for predicting the state of the turbulence. When developing combustion models, we would like to know the mix state of the reacting species. This involves density and concentration fluctuations. To date, research has focused on the effect of compression on the turbulent kinetic energy. The current work provides constraints to help development and calibration for models of species mixing effects in compressed turbulence. The Cambon, et al., re-scaling has been extended to buoyancy driven turbulence, including the fluctuating density, concentration, and temperature equations. The new scalings give us helpful constraints for developing and validating RANS turbulence models.

Israel, Daniel M. [Los Alamos National Laboratory

2012-07-13T23:59:59.000Z

405

Modeling EERE Deployment Programs  

Science Conference Proceedings (OSTI)

The purpose of this report is to compile information and conclusions gathered as part of three separate tasks undertaken as part of the overall project, Modeling EERE Deployment Programs, sponsored by the Planning, Analysis, and Evaluation office within the Department of Energys Office of Energy Efficiency and Renewable Energy (EERE). The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address improvements to modeling in the near term, and note gaps in knowledge where future research is needed.

Cort, Katherine A.; Hostick, Donna J.; Belzer, David B.; Livingston, Olga V.

2007-11-08T23:59:59.000Z

406

Comparison of Experimental and Theoretical Forces on a Model Dredge Cutterhead  

E-Print Network (OSTI)

Dredging is a critical part of maintaining the nations ports and harbors that play a major role in international trade. The design of dredge equipment requires knowledge of the forces expected on an average dredge. For a cutter suction dredge one of the largest forces is applied on the cutter head. To determine the design criteria for a given cutter suction dredge the forces on the cutter head must be known. Forces on a 33 cm (13 inch) model cutter head have been measured using a model cutter suction dredge 10.2 cm ( (4 inch)) suction and 3 inch (7.6 cm) discharge) in the Haynes Coastal Engineering Laboratory. The experimental results are compared to the results of a previously developed theory for estimating cutterhead forces. A MATLAB program is written and used to solve the theoretical equations. The sediment used in the study had a d50 of 0.27 mm and an angle of internal friction of 21.6. The sediment is contained in the deep sediment pit 7.6 m (25 ft long), 3.7 m wide(12 ft ) and 1.5 m deep(5 ft) in the dredge/tow tank that is 45.7 m long(150 ft), 3.7 m wide(12 ft), and 3.0 m deep(10 ft). The objectives of the study are to calculate the forces using existing theory and MATLAB program and compare the theoretical results to those measured in the laboratory. The effects of the depth of cut, direction of swing, and cutter rpm on the forces acting on the cutter head are evaluated. The forces on the cutterhead are determined through the use of a set of six load cells rated at 13.3 kN (3000 lb). The load cell measurements allow direct calculation of the forces on the cutter head through the use of static equilibrium equations with the assumption of a constant swing speed. Once the forces are determined the results can be scaled to fit an actual dredge and then be applied in the determination of dredge design characteristics. The study shows the ability of the theory to determine the forces within an order or magnitude. The theoretical forces allow design of a cutter using a factor of safety. The variability of the forces in the laboratory study shows the assumption that the cutting forces are generally steady is not always valid.

Permenter, Rusty

2010-12-01T23:59:59.000Z

407

Feature-oriented refinement of models, metamodels and model transformations  

Science Conference Proceedings (OSTI)

Done well, the blend of Model Driven Development (MDD) and Software Product Lines (SPL) offers a promising approach, mixing abstraction from MDD and variability from SPL. Although Model Driven Product Lines have flourished recently, the focus so far ... Keywords: AHEAD, XAK, metamodels, model transformations, modeling, models, refinements

Salvador Trujillo; Ander Zubizarreta; Xabier Mendialdua; Josune de Sosa

2009-10-01T23:59:59.000Z

408

Eliciting information for product modeling using process modeling  

Science Conference Proceedings (OSTI)

A product model is a formal and structured definition of product information. The most common procedure for defining a product data model is to first describe the business and/or engineering process in a formal process model, then to create a product ... Keywords: CASE, GTPPM, Information flow, Process model, Product model, STEP

Ghang Lee; Charles M. Eastman; Rafael Sacks

2007-08-01T23:59:59.000Z

409

Nonlinear Modelling of Alstom Gasifier Using Wiener Model  

Science Conference Proceedings (OSTI)

A novel nonlinear modelling approach has been developed and implemented on Alstom gasifier using Wiener model. The linear element of the Wiener model was identified by a combined subspace state space method, which integrated MOESP (Multivariable Output-Error ... Keywords: modelling, subspace, wiener model, neural networks, state space methods

Wang Xin; Zhao Liang; Lu Jianhong; Xiang Wenguo

2010-05-01T23:59:59.000Z

410

Single-Column Modeling  

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

C.J. Somerville and S. F. lacobellis C.J. Somerville and S. F. lacobellis Climate Research Division Scripps Institution of Oceanography University of California, San Diego La Jolla, CA 92093-0224 Our project is centered around a computationally efficient and economical one-dimensional (vertical) model, resembling a single column of a general circulation model (GCM) grid, applied to the experimental site of the Atmospheric Radiation Measurement (ARM) Program. The model contains a full set of modern GCM parameterizations of subgrid physical processes. To force the model, the advective terms in the budget equations are specified observationally from operational numerical weather prediction analyses. These analyses, based on four-dimensional data assimilation techniques, provide dynamically consistent wind fields and horizontal gradients

411

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).

412

Updating Applied Diffusion Models  

Science Conference Proceedings (OSTI)

Most diffusion models currently used in air quality applications are substantially out of date with understanding of turbulence and diffusion in the planetary boundary layer. Under a Cooperative Agreement with the Environmental Protection Agency, ...

J. C. Weil

1985-11-01T23:59:59.000Z

413

Structural Materials Modeling  

Science Conference Proceedings (OSTI)

Mar 5, 2013 ... Sponsored by: TMS Materials Processing and Manufacturing Division, TMS ... Fei Gao2; Kiran Solanki3; Xin Sun2; 1Mississippi State University; 2PNNL; ... A Multiscale Metal/Hydride Mechanical Model for Used-Fuel Zircaloy...

414

Modeling from Physical Principles  

E-Print Network (OSTI)

This article, on the other hand, shall concentrate on issues relating to modeling the physical plant to be controlled. Modeling physical systems seems to be a straightforward task. Since physical systems and experiments are often reproducible in a reliable fashion, since measurements from physical systems are frequently available in abundance and of high quality, since the meta--laws of physics are mostly well understood, it seems to be a particularly easy task to come up with accurate mathematical descriptions of most physical plants. Yet, there are some typical pitfalls and frequent misconceptions about the modeling of physical systems, especially among control engineers. These shall be illustrated, and a sound methodological basis for modeling from physical principles shall then be created. 2 Common Misconceptions

Franois E. Cellier; Hilding Elmqvist; Martin Otter

1996-01-01T23:59:59.000Z

415

Opponent modeling in poker  

Science Conference Proceedings (OSTI)

Poker is an interesting test-bed for artificial intelligence research. It is a game of imperfect knowledge, where multiple competing agents must deal with risk management, agent modeling, unreliable information and deception, much like decision-making ...

Darse Billings; Denis Papp; Jonathan Schaeffer; Duane Szafron

1998-07-01T23:59:59.000Z

416

Session 12: Modelling  

Science Conference Proceedings (OSTI)

May 24, 2013 ... Magnesium Workshop Madrid 2013: Session 12: Modelling - I ... that uses first- principles input on solute/basal-dislocation interaction energies [2]. ... integrated open-source software, collaborative community building and The...

417

Self modelling knowledge networks  

Science Conference Proceedings (OSTI)

What the scope of knowledge management (KM) is concerned, the focus of attention is shifting towards inter-organisational aspects resulting in new requirements for the KM process. This paper introduces the concept of self modelling knowledge networks ...

Volker Derballa; Antonia Albani

2005-10-01T23:59:59.000Z

418

Modeling Investment Castings  

Science Conference Proceedings (OSTI)

Once the finite-element meshes of the metal, mold, mold wrap, and furnace are created, they are assembled into a final model as shown in Figure 6. It is then...

419

Search by Model  

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

Model Select Year... 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984...

420

Thermodynamic and Kinetic Modeling  

Science Conference Proceedings (OSTI)

Oct 11, 2012... capability of the coating and thus the achievable engine efficiency. ... Aluminide coating of steels enables more efficient power generation through ... and kinetic modeling in order to build a time and temperature dependent...

Note: This page contains sample records for the topic "beach harbors model" 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

Kirkpatrick's Learning Evaluation Model  

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

One of the core principles of training evaluation is the model based on four sequential levels that was developed by Donald Kirkpatrick. The levels, 1) Reaction, 2) Learning, 3) Behavior, and 4)...

422

Category:Modeling Techniques | Open Energy Information  

Open Energy Info (EERE)

in this category, out of 5 total. A Analytical Modeling C Conceptual Model M Modeling-Computer Simulations N Numerical Modeling P Portfolio Risk Modeling Retrieved from "http:...

423

Continuity and change through transformation : a mixed-use design in a Cape Cod harbor  

E-Print Network (OSTI)

Change is an ongoing, unavoidable process that may occur for many reasons and in many ways. In this world of uncertainty and often unwanted surprises it is comforting to know that there are some aspects of our physical and ...

Haig, Peter Alastair

1983-01-01T23:59:59.000Z

424

Schedule and cost estimate for an innovative Boston Harbor concert hall  

E-Print Network (OSTI)

This thesis formulates a cost estimate and schedule for constructing the Boston Concert Hall, an innovative hypothetical building composed of two concert halls and a restaurant. Concert Halls are complex and expensive ...

Coste, Amelie, 1982-

2004-01-01T23:59:59.000Z

425

Morphology and Microanatomy of Harbor Porpoise (Phocoena phocoena) Dorsal Fin Tubercles  

E-Print Network (OSTI)

taken of height and peak-to-peak distance of the tubercles using scaled photographs. Mean tubercle peak-to-peak distance ranged from 4.2 6 2.0 to 5.6 6 2.0 mm. The microstructure analysis of the dorsal, composed of lipokeratinocytes and lamellar oil bodies, was significantly thinner in the trailing edge than

Fish, Frank

426

Cold Spring Harbor Laboratory Waste Water Treatment Plant [The Inhabited Landscape: An Exhibition  

E-Print Network (OSTI)

copper finial made by the architects. The finial was made toterrace level plan Architect's Statement As Cold Spring

Architects, Centerbrook

1988-01-01T23:59:59.000Z

427

Dual-Level Parallel Analysis of Harbor Wave Response Using MPI and OpenMP  

Science Conference Proceedings (OSTI)

The authors describe their experiences converting an existing serial production code to a parallel code combining both MPI and OpenMP. Such dual-level parallel codes will be able to take full advantage of the emerging class of high performance computer ...

Steve W. Bova; Clay P. Breshears; Christine E. Cuicchi; Zeki Demirbilek; Henry A. Gabb

2000-02-01T23:59:59.000Z

428

Trace element concentrations in the Pacific harbor seal (Phoca vitulina richardii) in central  

E-Print Network (OSTI)

Applied to Bridge Decks...................67 Taconite Enhanced Pothole Repair Using Portable Microwave as a baseline for potential combustion and/or gasification testing at CMRL. Other research may arise from. Plasma Stone from Taconite By-Products Progress was made on casting three-dimensional shapes from molten

Wagner, Diane

429

Models of multiquark states  

SciTech Connect

The success of simple constituent quark models in single-hardon physics and their failure in multiquark physics is discussed, emphasizing the relation between meson and baryon spectra, hidden color and the color matrix, breakup decay modes, coupled channels, and hadron-hadron interactions via flipping and tunneling of flux tubes. Model-independent predictions for possible multiquark bound states are considered and the most promising candidates suggested. A quark approach to baryon-baryon interactions is discussed.

Lipkin, H.J.

1986-01-01T23:59:59.000Z

430

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

431

Common Information Model Primer  

Science Conference Proceedings (OSTI)

The Common Information Model (CIM) Primer explains the basics of the CIM (IEC 61970, IEC 61968, and IEC 62325). Starting with a historical perspective, it describes how the CIM originated and grew through the years. The functions of various working groups of Technical Committee 57 of the International Electrotechnical Commission (IEC) are described. The process of how an IEC standard is created is also outlined. The basics of the Unified Modeling Language (UML) are detailed to introduce the reader to the...

2011-11-10T23:59:59.000Z

432

Geysers injection modeling  

DOE Green Energy (OSTI)

Our research is concerned with mathematical modeling techniques for engineering design and optimization of water injection in vapor-dominated systems. The emphasis in the project has been on the understanding of physical processes and mechanisms during injection, applications to field problems, and on transfer of numerical simulation capabilities to the geothermal community. This overview summarizes recent work on modeling injection interference in the Southeast Geysers, and on improving the description of two-phase flow processes in heterogeneous media.

Pruess, K.

1994-04-01T23:59:59.000Z

433

Das Standard Modell  

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

Model Model Was ist fundamental? Das Standard Modell Physiker haben eine Theorie - Das Standard Modell - entwickelt, welche erklärt, woraus die Welt besteht und was sie zusammenhält. Es ist eine einfache und überzeugende Theorie, welche hunderte von Teilchen und ihre gegenseitigen Wechselwirkungen erklärt. Dazu braucht sie nur wenige elementare Teilchen : 6 Quarks. 6 Leptonen. Das bekannteste Lepton ist das Elektron. Wir reden gleich von Leptonen. Kraft-Träger Teilchen, wie z.B. das Photon. Wir werden später über diese Teilchen reden. Alle bekannten materiellenTeilchen sind aus Quarks und Leptonen zusammengesetzt und sie wechselwirken untereinander durch den Austausch von Kraft-Träger Teilchen. Das Standard Modell ist eine gute Theorie. Eine grosse Zahl von Experimenten haben ihre Voraussagen mit unglaublicher Präzision bestätigt und alle Teilchen, welche die Theorie bis heute vorausgesagt hat, wurden auch gefunden. Aber die Theorie kann nicht alles erklären. Die Schwerkraft zum Beispiel ist nicht im Standard Modell eingeschlossen.

434

Statistical Alignment Models for . . .  

E-Print Network (OSTI)

The ever-increasing amount of parallel data opens a rich resource to multilingual natural language processing, enabling models to work on various translational aspects like detailed human annotations, syntax and semantics. With efficient statistical models, many cross-language applications have seen significant progresses in recent years, such as statistical machine trans-lation, speech-to-speech translation, cross-lingual information retrieval and bilingual lexicog-raphy. However, the current state-of-the-art statistical translation models rely heavily on the word-level mixture models a bottleneck, which fails to represent the rich varieties and depen-dencies in translations. In contrast to word-based translations, phrase-based models are more robust in capturing various translation phenomena than the word-level (e.g., local word reordering), and less susceptive to the errors from preprocessing such as word segmentations and tok-enizations. Leveraging phrase level knowledge in translation models is challenging yet reward-ing: it also brings significant improvements on translation qualities. Above the phrase-level are

Bing Zhao

2007-01-01T23:59:59.000Z

435

Modeling Capacity Reservation Contract  

E-Print Network (OSTI)

In this paper we model a scenario where a chip designer (buyer) buys capacity from chip manufacturers (suppliers) in the presence of demand uncertainty faced by the buyer. We assume that the buyer knows the probability distribution of his demand. The supplier offers the buyer to reserve capacity in advance at a price that is lower than the historical average of the spot price. The suppliers price (if the buyer reserves capacity in advance) is function of her capacity, demand for her capacity, unit production cost, the average spot market price and the amount of capacity reserved by the buyer. Based on these parameters we derive the price the suppliers will charge. We formulate the problem from the buyers perspective. The buyers decisions are how much capacity to reserve and from how many suppliers. The optimal solution is obtained numerically. Our model addresses the following issues that are not covered in the current literature on capacity reservation models. In the existing literature the suppliers price is an exogenous parameter. We model the suppliers price from relevant parameters mentioned above. This makes our model richer. For example, if the expected capacity utilization for the supplier is likely to be low then the supplier will charge a lower price for capacity reservation. In reality, the buyer sources from multiple suppliers. Most mathematical models on capacity reservation, we are aware of, assumes a single buyer and a single supplier. We generalize this to a single buyer and multiple suppliers.

Jishnu Hazra; B. Mahadevan; Sudhi Seshadri

2002-01-01T23:59:59.000Z

436

Learning planar ising models  

Science Conference Proceedings (OSTI)

Inference and learning of graphical models are both well-studied problems in statistics and machine learning that have found many applications in science and engineering. However, exact inference is intractable in general graphical models, which suggests the problem of seeking the best approximation to a collection of random variables within some tractable family of graphical models. In this paper, we focus our attention on the class of planar Ising models, for which inference is tractable using techniques of statistical physics [Kac and Ward; Kasteleyn]. Based on these techniques and recent methods for planarity testing and planar embedding [Chrobak and Payne], we propose a simple greedy algorithm for learning the best planar Ising model to approximate an arbitrary collection of binary random variables (possibly from sample data). Given the set of all pairwise correlations among variables, we select a planar graph and optimal planar Ising model defined on this graph to best approximate that set of correlations. We present the results of numerical experiments evaluating the performance of our algorithm.

Johnson, Jason K [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory; Netrapalli, Praneeth [STUDENT UT AUSTIN

2010-11-12T23:59:59.000Z

437

Systems Modeling | ornl.gov  

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

Computational Physics Communication Networks and Technologies Modeling and Simulation Innovative Signal Processing Algorithms Advanced Control Systems Econometrics Engineering Analysis Behavioral Sciences Geographic Information Science and Technology Quantum Information Science Supercomputing and Computation Home | Science & Discovery | Supercomputing and Computation | Research Areas | Systems Modeling SHARE Systems Modeling System modeling is the interdisciplinary study of the use of models to conceptualize and construct systems. A common type of systems modeling is function modeling, with specific techniques such as the functional flow block diagram. These models can be extended using functional decomposition, and can be linked to requirements models for further systems

438

Generic CSP Performance Model for NREL's System Advisor Model: Preprint  

SciTech Connect

The suite of concentrating solar power (CSP) modeling tools in NREL's System Advisor Model (SAM) includes technology performance models for parabolic troughs, power towers, and dish-Stirling systems. Each model provides the user with unique capabilities that are catered to typical design considerations seen in each technology. Since the scope of the various models is generally limited to common plant configurations, new CSP technologies, component geometries, and subsystem combinations can be difficult to model directly in the existing SAM technology models. To overcome the limitations imposed by representative CSP technology models, NREL has developed a 'Generic Solar System' (GSS) performance model for use in SAM. This paper discusses the formulation and performance considerations included in this model and verifies the model by comparing its results with more detailed models.

Wagner, M. J.; Zhu, G.

2011-08-01T23:59:59.000Z

439

Modeling Global Lightning Distributions in a General Circulation Model  

Science Conference Proceedings (OSTI)

A general circulation model (GCM) is used to model global lightning distributions and frequencies. Both total and cloud-to-ground lightning frequencies are modeled using parameterizations that relate the depth of convective clouds to lightning ...

Colin Price; David Rind

1994-08-01T23:59:59.000Z

440

Probit Model Estimation Revisited: Trinomial Models of Household Car Ownership  

E-Print Network (OSTI)

Household Ownership of Car Davidon, W. C. (1959) VariableStudy Report 9: Models of Car Ownership and License Holding.Trinomial Models of Household Car Ownership. Transportation

Bunch, David S.; Kitamura, Ryuichi

1991-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "beach harbors model" 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

Radmodl Modeling Manual  

SciTech Connect

RADMODL is a set of computer codes that model the transport of material through a network of interconnected compartments. This version of RADMODL is designed to model the transport of radioactive material from either a loss of coolant accident (LOCA) or a fuel handling accident into a set of interconnected compartments and determine the equivalent dose each compartment will see for the duration of the accident. The code is flexible enough to allow modeling of other types of materials and their dilution/dispersion during transport by designing a new set of input files corresponding to the facility layout and the dilution/dispersion factors. This report documents the issuance of the Modeling Manual, originally developed by EGS Corporation and ISSI as volume 1 of the Programmer`s Manual, with the incorporation of minor editorial comments. Though a Modeling Manual in itself is not required for the RADMODL code certification, this manual does contain information that is required for the one of the requirements for code User`s Manual and hence certification.

Murphy, S.L.; Stevens, K.A.; Weister, T.E.

1993-04-01T23:59:59.000Z

442

Linear Solar Models  

E-Print Network (OSTI)

We present a new approach to study the properties of the sun. We consider small variations of the physical and chemical properties of the sun with respect to Standard Solar Model predictions and we linearize the structure equations to relate them to the properties of the solar plasma. By assuming that the (variation of) the present solar composition can be estimated from the (variation of) the nuclear reaction rates and elemental diffusion efficiency in the present sun, we obtain a linear system of ordinary differential equations which can be used to calculate the response of the sun to an arbitrary modification of the input parameters (opacity, cross sections, etc.). This new approach is intended to be a complement to the traditional methods for solar model calculation and allows to investigate in a more efficient and transparent way the role of parameters and assumptions in solar model construction. We verify that these Linear Solar Models recover the predictions of the traditional solar models with an high...

Villante, F L

2009-01-01T23:59:59.000Z

443

Supersymmetric leptophilic Higgs model  

SciTech Connect

In the leptophilic model, one Higgs doublet couples to quarks and another couples to leptons. We study the supersymmetric version of this model, concentrating on the tightly constrained Higgs sector, which has four doublets. Constraints from perturbativity, unitarity, and LEP bounds are considered. It is found that the lightest Higgs, h, can have a mass well below 114 GeV, and for masses below 100 GeV will have a substantially enhanced branching ratio into {tau} pairs. For this region of parameter space, traditional production mechanisms (Higgs-strahlung, W fusion, and gluon fusion) are suppressed, but it may be produced in the decay of heavier particles. The second lightest Higgs has a mass of approximately 110 GeV for virtually all of parameter space, with standard model couplings, and thus an increase of a few GeV in the current lower bound on the standard model Higgs mass would rule out the model. The two heavier Higgs are both gauge phobic, one decays almost entirely into bb and can be produced via gluon fusion while the other decays almost entirely into {tau}{sup +}{tau}{sup -} but cannot be easily produced.

Marshall, Gardner; Sher, Marc [Particle Theory Group, Department of Physics, College of William and Mary, Williamsburg, Virginia 23187 (United States)

2011-01-01T23:59:59.000Z

444

Advanced Chemistry Basins Model  

SciTech Connect

The objective of this project is to: (1) Develop a database of additional and better maturity indicators for paleo-heat flow calibration; (2) Develop maturation models capable of predicting the chemical composition of hydrocarbons produced by a specific kerogen as a function of maturity, heating rate, etc.; assemble a compositional kinetic database of representative kerogens; (3) Develop a 4 phase equation of state-flash model that can define the physical properties (viscosity, density, etc.) of the products of kerogen maturation, and phase transitions that occur along secondary migration pathways; (4) Build a conventional basin model and incorporate new maturity indicators and data bases in a user-friendly way; (5) Develop an algorithm which combines the volume change and viscosities of the compositional maturation model to predict the chemistry of the hydrocarbons that will be expelled from the kerogen to the secondary migration pathways; (6) Develop an algorithm that predicts the flow of hydrocarbons along secondary migration pathways, accounts for mixing of miscible hydrocarbon components along the pathway, and calculates the phase fractionation that will occur as the hydrocarbons move upward down the geothermal and fluid pressure gradients in the basin; and (7) Integrate the above components into a functional model implemented on a PC or low cost workstation.

Blanco, Mario; Cathles, Lawrence; Manhardt, Paul; Meulbroek, Peter; Tang, Yongchun

2003-02-13T23:59:59.000Z

445

Coreference-inspired coherence modeling  

Science Conference Proceedings (OSTI)

Research on coreference resolution and summarization has modeled the way entities are realized as concrete phrases in discourse. In particular there exist models of the noun phrase syntax used for discourse-new versus discourse-old referents, and models ...

Micha Elsner; Eugene Charniak

2008-06-01T23:59:59.000Z

446

Ozone Modeling Using Neural Networks  

Science Conference Proceedings (OSTI)

Ozone models for the city of Tulsa were developed using neural network modeling techniques. The neural models were developed using meteorological data from the Oklahoma Mesonet and ozone, nitric oxide, and nitrogen dioxide (NO2) data from ...

Ramesh Narasimhan; Joleen Keller; Ganesh Subramaniam; Eric Raasch; Brandon Croley; Kathleen Duncan; William T. Potter

2000-03-01T23:59:59.000Z

447

Computing and fabricating multilayer models  

E-Print Network (OSTI)

We present a method for automatically converting a digital 3D model into a multilayer model: a parallel stack of high-resolution 2D images embedded within a semi-transparent medium. Multilayer models can be produced quickly ...

Holroyd, Michael

448

The Geometry of Model Error  

Science Conference Proceedings (OSTI)

This paper investigates the nature of model error in complex deterministic nonlinear systems such as weather forecasting models. Forecasting systems incorporate two components, a forecast model and a data assimilation method. The latter projects ...

Kevin Judd; Carolyn A. Reynolds; Thomas E. Rosmond; Leonard A. Smith

2008-06-01T23:59:59.000Z

449

Climate Modeling with Spectral Elements  

Science Conference Proceedings (OSTI)

As an effort toward improving climate modelcomponent performance and accuracy, an atmospheric-component climate model has been developed, entitled the Spectral Element Atmospheric Climate Model and denoted as CAM_SEM. CAM_SEM includes a unique ...

Ferdinand Baer; Houjun Wang; Joseph J. Tribbia; Aim Fournier

2006-12-01T23:59:59.000Z

450

Performance of NMC's Regional Models  

Science Conference Proceedings (OSTI)

This paper details the performance characteristics of the two regional dynamical models used at the National Meteorological Center to forecast for North America. Strengths and weaknesses of these modelsthe limited-area fine-mesh (LFM) model and ...

Norman W. Junker; James E. Hoke; Richard H. Grumm

1989-09-01T23:59:59.000Z

451

Piecewise Linear Modeling and Analysis  

Science Conference Proceedings (OSTI)

From the Publisher:Piecewise Linear Modeling and Analysis explains in detail all possible model descriptions to efficiently store piecewise linear functions starting with the Chua descriptions. Detailed explanation on how the model parameter can be obtained ...

Domine M. W. Leenaerts; Wim M. Van Bokhoven

1998-07-01T23:59:59.000Z

452

Ocean General Circulation Models  

SciTech Connect

1. Definition of Subject The purpose of this text is to provide an introduction to aspects of oceanic general circulation models (OGCMs), an important component of Climate System or Earth System Model (ESM). The role of the ocean in ESMs is described in Chapter XX (EDITOR: PLEASE FIND THE COUPLED CLIMATE or EARTH SYSTEM MODELING CHAPTERS). The emerging need for understanding the Earths climate system and especially projecting its future evolution has encouraged scientists to explore the dynamical, physical, and biogeochemical processes in the ocean. Understanding the role of these processes in the climate system is an interesting and challenging scientific subject. For example, a research question how much extra heat or CO2 generated by anthropogenic activities can be stored in the deep ocean is not only scientifically interesting but also important in projecting future climate of the earth. Thus, OGCMs have been developed and applied to investigate the various oceanic processes and their role in the climate system.

Yoon, Jin-Ho; Ma, Po-Lun

2012-09-30T23:59:59.000Z

453

Parametric Explosion Spectral Model  

Science Conference Proceedings (OSTI)

Small underground nuclear explosions need to be confidently detected, identified, and characterized in regions of the world where they have never before occurred. We develop a parametric model of the nuclear explosion seismic source spectrum derived from regional phases that is compatible with earthquake-based geometrical spreading and attenuation. Earthquake spectra are fit with a generalized version of the Brune spectrum, which is a three-parameter model that describes the long-period level, corner-frequency, and spectral slope at high-frequencies. Explosion spectra can be fit with similar spectral models whose parameters are then correlated with near-source geology and containment conditions. We observe a correlation of high gas-porosity (low-strength) with increased spectral slope. The relationship between the parametric equations and the geologic and containment conditions will assist in our physical understanding of the nuclear explosion source.

Ford, S R; Walter, W R

2012-01-19T23:59:59.000Z

454

Standard Model Holdout INSIDE  

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

May 2, 1997 May 2, 1997 Number 9 f Searching for the Standard Model Holdout INSIDE 2 University Close-Up: Pisa 5 Facilities Managers' Meeting 6 Birth of a Bison Photo by Reidar Hahn An international collaboration at Fermilab sets out to observe the elusive tau neutrino. by Donald Sena, Office of Public Affairs When two collaborations announced the discovery of the top quark at Fermi National Accelerator Laboratory in 1995, many news outlets erroneously reported that the last remaining piece of the current theory of matter and energy, known as the Standard Model, had been found. What reporters and even a few physicists forgot is that the elusive tau neutrino, while firmly entrenched in the Standard Model, has never been directly observed. In the early 1980s, there was one minor attempt to find the tau neutrino

455

WEC Model Development at Sandia  

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

2C 2C Marine and Hydrokinetic Instrumentation, Measurement & Computer Modeling Workshop - Broomfield, CO July 9 th , 2012 Wave Energy Converter Model Development at Sandia Outline  Overview of SNL's WEC Modeling Activities * Wave Energy Development Roadmap * MHK Reference Models - Diana Bull * WEC Model Tool Development - Kelley Ruehl Reference Models and SNL Array Modeling presented in next session Wave Energy Development Roadmap Overall Goal and Motivation  Goal: Develop a suggested path for WEC development from design to commercialization.  Motivation: Guide industry towards successful design optimizations, prototype deployments, and utility scale commercialization by providing a roadmap incorporating numerical modeling and experimentation.

456

Numerical Modeling | Open Energy Information  

Open Energy Info (EERE)

Numerical Modeling Numerical Modeling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Numerical Modeling Details Activities (8) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Stress fields and magnitudes Hydrological: Visualization and prediction of the flow patterns and characteristics of geothermal fluids Thermal: Thermal conduction and convection patterns in the subsurface Dictionary.png Numerical Modeling: A computer model that is designed to simulate and reproduce the mechanisms of a particular system. Other definitions:Wikipedia Reegle

457

Transport Properties for Combustion Modeling  

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

Transport Properties for Combustion Modeling Title Transport Properties for Combustion Modeling Publication Type Journal Article Year of Publication 2011 Authors Brown, Nancy J.,...

458

Introduction to Materials Modelling - TMS  

Science Conference Proceedings (OSTI)

Oct 23, 2006... simply described by modeling, even if it involves fundamental ideas ... least Handbook of Materials Modelling (2005) by Sidney Yip (editor).

459

Business models of information aggregators  

E-Print Network (OSTI)

This thesis identifies the specific characteristics of information aggregators, and proposes nine business models appropriate for information aggregators. These nine models are: advertising, brokerage, subscription, ...

Hu, Jiangxia, S.M. Massachusetts Institute of Technology

2008-01-01T23:59:59.000Z

460

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...

Note: This page contains sample records for the topic "beach harbors model" 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

Improved MK42 Melting Model  

Science Conference Proceedings (OSTI)

An improved Mark 42 melting model has been defined for establishing confinement protection limits (CPLs). This report describes the new melting model and its application in computing CPLs.

Tudor, A.A.

2001-09-19T23:59:59.000Z

462

Macro-System Model Overview  

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

Such a macro-system model is critical to assessing the transition from the existing energy infrastructure to one including hydrogen. Individual models spanning a wide range of...

463

GIS-Based Infrastructure Modeling  

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

GIS-Based Infrastructure Modeling Hydrogen Scenario Meeting August 9-10, 2006 Keith Parks, NREL GIS-Based Infrastructure Modeling * Station Analysis - Selection Criteria - Los...

464

Multiphase Flow Modeling Research  

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

Science Science Chris Guenther, Director Computational Science Division RUA Spring Meeting, Morgantown, WV March 2013 2 NETL's Multiphase Flow Science Team * The Multiphase Flow Science Team develops physics-based simulation models to conduct applied scientific research. - Development of new theory - Extensive on-site and collaborative V&V efforts and testing - Engages in technology transfer - Applies the models to industrial scale problems. 3 Why is Multiphase Flow Science Needed? * Industry is increasingly relying on multiphase technologies to produce clean and affordable energy with carbon capture. * Unfortunately, the presence of a solid phase reduces the operating capacity of a typical energy device from its original design on average by 40% [1].

465

Travel Demand Modeling  

SciTech Connect

This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.

Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology

2011-01-01T23:59:59.000Z

466

Three dimensional magnetotelluric modeling  

DOE Green Energy (OSTI)

A three-dimensional (3D) volume integral equation solution was refined and adapted to magnetotelluric (MT) modeling. The refinement, incorporating an integro-difference scheme, increases the accuracy somewhat without increasing the computer time. Utilizing the two symmetry planes for a plane wave source decreases the computer storage by a factor of 8 and greatly reduces the computer time. Convergence checks and comparisons with other solutions show that our results are valid. Because of space charges at resistivity boundaries, low-frequency 3D responses are much different from 1D and 2D responses. Hence 3D models are required for interpreting MT data in the complex geothermal environment.

Hohmann, G.W.; Ting, S.C.

1978-07-01T23:59:59.000Z

467

DRI Model of the U.S. Economy -- Model Documentation:  

Reports and Publications (EIA)

Provides documentation on Data Resources, Inc., DRI Model of the U.S. Economy and the DRI Personal Computer Input/Output Model. It also describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations.

Information Center

1993-12-01T23:59:59.000Z

468

Map algebra and model algebra for integrated model building  

Science Conference Proceedings (OSTI)

Computer models are important tools for the assessment of environmental systems. A seamless workflow of construction and coupling of model components is essential for environmental scientists. However, currently available software packages are often ... Keywords: Biomass-harvest model, Component-based modelling, PCRaster, Python, Spatio-temporal simulation

Oliver Schmitz, Derek Karssenberg, Kor De Jong, Jean-Luc De Kok, Steven M. De Jong

2013-10-01T23:59:59.000Z

469

Inspection of aluminum components from freeze desalting facility at Wrightsville Beach, NC  

DOE Green Energy (OSTI)

An inspection was made of a freeze-type desalting pilot plant that has operated for approximately four years. The purpose of this inspection was to document the seawater service experience of the various aluminum alloys present in the plant. The components inspected include two tube-type heat exchangers, one plate-type heat exchanger, and the freezing compartment. Photographs are used to illustrate the corrosion behavior of these components.

Melton, D.G.; Lee, T.S.

1980-02-01T23:59:59.000Z

470

Fixing a tarnished image in Boynton Beach Grassroots effort aims to undo damage  

E-Print Network (OSTI)

Ranzie, who was caught with porn on his city computer. And former Mayor Jose Rodriquez was suspended

Fernandez, Eduardo

471

Resolution and Accuracy of an Airborne Scanning Laser System for Beach Surveys  

Science Conference Proceedings (OSTI)

Airborne scanning laser technology provides an effective method to systematically survey surface topography and changes in that topography with time. In this paper the authors describe the capability of a rapid-response lidar system in which ...

J. H. Middleton; C. G. Cooke; E. T. Kearney; P. J. Mumford; M. A. Mole; G. J. Nippard; C. Rizos; K. D. Splinter; I. L. Turner

472

Long Beach Transit: Two-Year Evaluation of Gasoline-Electric Hybrid Transit Buses  

DOE Green Energy (OSTI)

This report focuses on a gasoline-electric hybrid transit bus propulsion system. The propulsion system is an alternative to standard diesel buses and allows for reductions in emissions (usually focused on reductions of particulate matter and oxides of nitrogen) and petroleum use. Gasoline propulsion is an alternative to diesel fuel and hybrid propulsion allows for increased fuel economy, which ultimately results in reduced petroleum use.

Lammert, M.

2008-06-01T23:59:59.000Z

473

The Consolidated Transportation Corridor: Surface Access to the Ports of Long Beach and Los Angeles  

E-Print Network (OSTI)

Improvement Plan (STIP)and is therefore eligible. However,such projects must qualify for STIP inclusion eventual andto fully fund the 1989 STIP ($3.5 billion);an additional$3

Parker, John K.

1990-01-01T23:59:59.000Z

474

The extent of chronic marine oil pollution in southeastern Newfoundland waters assessed through beached  

E-Print Network (OSTI)

history of oil spills. In: Proceedings from the Oil Symposium on The Effects of Oil on Wildlife, Herndon female Harlequin Ducks in relation to history of contamination by the Exxon Valdez oil spill. JournalThe extent of chronic marine oil pollution in southeastern Newfoundland waters assessed through

Jones, Ian L.

475

REPORl OF THE BUREAU OF COMMERCIAL FISHERIES ,IOLOGICAL STATION, ST. PETERSBURG BEACH, FLORIDA  

E-Print Network (OSTI)

Ologlcal data to: Th Bureau of Sport FisherIes nd '11dhfe; th 1I . rOl\\', orps of Engm ers; h FlOrIda Boa rd

476

Characterization and environmental studies of Pompano Beach anaerobic digestion facility. Annual report  

DOE Green Energy (OSTI)

Municipal solid wastes contain numerous substances of potential environmental concern. While some understanding of the composition of raw municipal waste and its leachate products is available, no information regarding characteristics of solid, liquid and gaseous outputs from anaerobic digestion exists. If centralized anaerobic digestion plants are to be environmentally viable, the characteristics and environmental effects of effluents from these plants must be acceptable. The environmental concerns are particularly acute where ground water supplies are precariously low and the water table is high, South Florida is such a location. A characterization and environmental study was initiated by the Resource Recovery Group on August 1978. The specific objectives are: (1) systematic characterization of solid, liquid and gaseous inputs and outputs; (2) investigations of leaching characteristic of output solid and liquid effluents, and the transport of pollutants to and through ground water systems; and (3) analysis of environmental and process parameters to obtain causal relationships.

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

1980-08-01T23:59:59.000Z

477

Shear Strength Evaluation of an Erosional Soil System at Fourchon Beach.  

E-Print Network (OSTI)

??South Louisiana is vanishing. Subsidence due to relative sea level rise with erosion of weak wetland soils together produce devastating rates of land loss for (more)

Boudreaux, Jacques Pierre

2012-01-01T23:59:59.000Z

478

Resolution and Accuracy of an Airborne Scanning Laser System for Beach Surveys  

Science Conference Proceedings (OSTI)

Airborne scanning laser technology provides an effective method to systematically survey surface topography and changes in that topography with time. In this paper, the authors describe the capability of a rapid-response lidar system in which ...

J. H. Middleton; C. G. Cooke; E. T. Kearney; P. J. Mumford; M. A. Mole; G. J. Nippard; C. Rizos; K. D. Splinter; I. L. Turner

2013-10-01T23:59:59.000Z

479

CEF06, Amathus Beach Hotel, Limassol, Cyprus, June 22-24, 2006  

E-Print Network (OSTI)

of Excellence in Low-energy Ion-Beam Research and Applications (LIBRA). Location NCSR "Demokritos" is located been reserved for workshop participants at the President Hotel, Kifissias Avenue, at a special rate by completing the attached form (download) and sending it to the hotel Reservations Department (Ms. Maria

Nagurney, Anna

480

Port Security: Improving Emergency Response Capabilities at the Ports of Los Angeles and Long Beach  

E-Print Network (OSTI)

PORT SECURITY: IMPROVING EMERGENCY RESPONSE CAPABILITIES ATMaritime Transportation Security Act of 2002, Pub. L. No.the Federal Maritime Security Coordinator for his respective

Zegart, Amy B; Hipp, Matthew C; Jacobson, Seth K

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "beach harbors model" 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

Demonstration of EPRI Heat Rate Guidelines at Southern California Edison Ormond Beach Unit 2  

Science Conference Proceedings (OSTI)

Using EPRI's heat rate improvement guidelines, Southern California Edison Company (SCE) developed a heat rate improvement program and realized significant fuel cost reduction. Other utilities can follow SCE's example to develop their own effective heat rate improvement programs.

1992-10-01T23:59:59.000Z

482

Scalable formal machine models  

Science Conference Proceedings (OSTI)

In the past few years, we have seen machine-checked proofs of relatively large software systems, including compilers and micro-kernels. But like all formal arguments, the assurance gained by these mechanical proofs is only as good as the models we construct ...

Greg Morrisett

2012-12-01T23:59:59.000Z

483

Modeling 18 Water Variability  

Science Conference Proceedings (OSTI)

Variability of 18 Water formation is investigated with an isopycnic-coordinate model of the North Atlantic. A 30-year spinup integration is used as a control experiment in which the upper water column in the Sargasso Sea is shown to be in ...

Robert Marsh; Adrian L. New

1996-06-01T23:59:59.000Z

484

Modelling geomagnetic activity data  

Science Conference Proceedings (OSTI)

Strong geomagnetic activity is a hazard to electronics and electric power facilities. Assessment of the actual geomagnetic activity level from local magnetometer monitoring therefore is of importance for risk assessment but also in earth sciences and ... Keywords: geomagnetism, neuro fuzzy modelling, self organizing map, signal processing, wavelets

Ernst D. Schmitter

2008-01-01T23:59:59.000Z

485

Decision Superiority Process Model  

Science Conference Proceedings (OSTI)

Decision superiority is achieved not just by acquiring and assessing the right information, but by translating it into actionable knowledge that can be exploited in the decision making process. Achieving decision superiority is necessary, because the ... Keywords: context-goal alternatives, decision making process, decision superiority, process model

Barbara Sorensen; Azad M. Madni; Carla C. Madni

2008-12-01T23:59:59.000Z

486

Morphable Surface Models  

Science Conference Proceedings (OSTI)

We describe a novel automatic technique for finding a dense correspondence between a pair of n-dimensional surfaces with arbitrary topologies. This method employs a different formulation than previous correspondence algorithms (such as optical ... Keywords: computer vision, correspondence, learning, morphable models, surface matching

Christian R. Shelton

2000-06-01T23:59:59.000Z

487

Performance modeling of Beamlet  

SciTech Connect

Detailed modeling of beam propagation in Beamlet has been made to predict system performance. New software allows extensive use of optical component characteristics. This inclusion of real optical component characteristics has resulted in close agreement between calculated and measured beam distributions.

Auerbach, J.M.; Lawson, J.K.; Rotter, M.D.; Sacks, R.A.; Van Wonterghem, B.W.; Williams, W.H.

1995-06-27T23:59:59.000Z

488

MODEL CONSERVATION STANDARD INTRODUCTION  

E-Print Network (OSTI)

standards and surcharge methodology. 2 The term "system cost" means an estimate of all direct costs and transmission to the consumer and, among other factors, waste disposal costs, end-of-cycle costs, and fuel costs. SURCHARGE RECOMMENDATION The Council does not recommend that the model conservation standards be subject

489

Modeling the earth system  

Science Conference Proceedings (OSTI)

The 1990 Global Change Institute (GCI) on Earth System Modeling is the third of a series organized by the Office for Interdisciplinary Earth Studies to look in depth at particular issues critical to developing a better understanding of the earth system. The 1990 GCI on Earth System Modeling was organized around three themes: defining critical gaps in the knowledge of the earth system, developing simplified working models, and validating comprehensive system models. This book is divided into three sections that reflect these themes. Each section begins with a set of background papers offering a brief tutorial on the subject, followed by working group reports developed during the institute. These reports summarize the joint ideas and recommendations of the participants and bring to bear the interdisciplinary perspective that imbued the institute. Since the conclusion of the 1990 Global Change Institute, research programs, nationally and internationally, have moved forward to implement a number of the recommendations made at the institute, and many of the participants have maintained collegial interactions to develop research projects addressing the needs identified during the two weeks in Snowmass.

Ojima, D. [ed.

1992-12-31T23:59:59.000Z

490

Ecotoxicological effects extrapolation models  

SciTech Connect

One of the central problems of ecological risk assessment is modeling the relationship between test endpoints (numerical summaries of the results of toxicity tests) and assessment endpoints (formal expressions of the properties of the environment that are to be protected). For example, one may wish to estimate the reduction in species richness of fishes in a stream reach exposed to an effluent and have only a fathead minnow 96 hr LC50 as an effects metric. The problem is to extrapolate from what is known (the fathead minnow LC50) to what matters to the decision maker, the loss of fish species. Models used for this purpose may be termed Effects Extrapolation Models (EEMs) or Activity-Activity Relationships (AARs), by analogy to Structure-Activity Relationships (SARs). These models have been previously reviewed in Ch. 7 and 9 of and by an OECD workshop. This paper updates those reviews and attempts to further clarify the issues involved in the development and use of EEMs. Although there is some overlap, this paper does not repeat those reviews and the reader is referred to the previous reviews for a more complete historical perspective, and for treatment of additional extrapolation issues.

Suter, G.W. II

1996-09-01T23:59:59.000Z

491

Modeling language variability  

Science Conference Proceedings (OSTI)

A systematic way of defining variants of a modeling language is useful for adapting the language to domain or project specific needs. Variants can be obtained by adapting the syntax or semantics of the language. In this paper, we take a formal approach ...

Hans Grnniger; Bernhard Rumpe

2010-03-01T23:59:59.000Z

492

Astrophysical Models, and  

E-Print Network (OSTI)

Astrophysical Plasmas: Codes, Models, and Observations (Mexico City, 25­29 October 1999) Franco Rev diagnostic ratios. Examples our current measurements given. Key Words: ATOMIC DATA ATOMIC PROCESSES LINE: FOR that correct atomic used, accurate line positions, excitation recombination cross sections, and radiative rates

Wargelin, Bradford J.

493

Programming Models Facilitators  

E-Print Network (OSTI)

to prioritize and support activities · Focus is near term, while keeping an eye toward to long term (avoid box-scale (accelerator-based) hybrid computer systems in the near term and in the future. · Identify the types costs, system modeling 5 #12;REVIEW OF GRADING CRITERIA 6 Urgency Duration Responsive Applicability

494

Integration of EBS Models with Generic Disposal System Models | Department  

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

Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models This report summarizes research activities on engineered barrier system (EBS) model integration with the generic disposal system model (GDSM), and used fuel degradation and radionuclide mobilization (RM) in support of the EBS evaluation and tool development within the Used Fuel Disposition campaign. This report addresses: predictive model capability for used nuclear fuel degradation based on electrochemical and thermodynamic principles, radiolysis model to evaluate the U(VI)-H2O-CO2 system, steps towards the evaluation of uranium alteration products, discussion of instant release fraction (IRF) of radionuclides from the nuclear fuel, and

495

Integration of EBS Models with Generic Disposal System Models | Department  

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

Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models This report summarizes research activities on engineered barrier system (EBS) model integration with the generic disposal system model (GDSM), and used fuel degradation and radionuclide mobilization (RM) in support of the EBS evaluation and tool development within the Used Fuel Disposition campaign. This report addresses: predictive model capability for used nuclear fuel degradation based on electrochemical and thermodynamic principles, radiolysis model to evaluate the U(VI)-H2O-CO2 system, steps towards the evaluation of uranium alteration products, discussion of instant release fraction (IRF) of radionuclides from the nuclear fuel, and

496

TDE Ecosystem Model Intercomparison Data Archive: Model Descriptions  

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

Model Descriptions Model Descriptions BGC++ BIOME-BGC CANOAK EALCO ecosys INTRASTAND LaRS LINKAGES v2.1 LoTEC MAESTRA NuCM PnET II SPA Literature Cited A total of 13 models were used in this study covering a range of temporal scales, spatial complexity, and mechanistic detail (Figure 1). Eight of the models (8) used an hourly time step, four models used a daily time step, and only one model used a monthly time step (i.e., PnET-II). Most models provided estimates for both stand carbon and water budgets, but other were limited to either the carbon (MAESTRA) or water (LINKAGES and NuCM) budgets. The most mechanistically complex models (ecosys, CLASS, LaRS, and CANOAK) also used a complete energy balance. A brief description of each of the models is provided below. BGC++ The BGC++ model (Hunt et al. 1999) simulates carbon, nitrogen, and

497

Short-term hydroelectric generation model. Model documentation report  

DOE Green Energy (OSTI)

The purpose of this report is to define the objectives of the Energy Information Administration`s (EIA) Short-Term Hydroelectric Generation Model (STHGM), describe its basic approach, and to provide details on the model structure. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with the EIA`s legal obligation to provide adequate documentation in support of its models.

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1996-12-01T23:59:59.000Z