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1

File:EIA-Ventura-E-gas.pdf | Open Energy Information  

Open Energy Info (EERE)

Ventura-E-gas.pdf Ventura-E-gas.pdf Jump to: navigation, search File File history File usage Ventura Basin, East Part By 2001 Gas Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 6.72 MB, MIME type: application/pdf) Description Ventura Basin, East Part By 2001 Gas Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States California File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 18:46, 20 December 2010 Thumbnail for version as of 18:46, 20 December 2010 6,600 × 5,100 (6.72 MB) MapBot (Talk | contribs) Automated bot upload

2

Solar Maid Ventura County | Open Energy Information  

Open Energy Info (EERE)

search Logo: Solar Maid Ventura County Name Solar Maid Ventura County Place Lancaster, California Sector Solar Product Solar Operations and Maintenance Year founded 2012 Number...

3

Distributed energy resources at naval base ventura county building 1512  

E-Print Network (OSTI)

Naval Base Ventura County Standby Generator OptimizationC&H Engineering performed a standby generator optimizationOn Naval Base Ventura County Standby Generator Optimization

Bailey, Owen C.; Marnay, Chris

2004-01-01T23:59:59.000Z

4

File:EIA-Ventura-W-Cent-gas.pdf | Open Energy Information  

Open Energy Info (EERE)

Ventura Basin, West and Central Parts By 2001 Gas Reserve Class Ventura Basin, West and Central Parts By 2001 Gas Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 2.7 MB, MIME type: application/pdf) Description Ventura Basin, West and Central Parts By 2001 Gas Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States California File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 18:48, 20 December 2010 Thumbnail for version as of 18:48, 20 December 2010 6,600 × 5,100 (2.7 MB) MapBot (Talk | contribs) Automated bot upload

5

Chattanooga Eagle Ford Western Gulf TX-LA-MS Salt Basin Uinta Basin  

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

Western Western Gulf TX-LA-MS Salt Basin Uinta Basin Devonian (Ohio) Marcellus Utica Bakken*** Avalon- Bone Spring San Joaquin Basin Monterey Santa Maria, Ventura, Los Angeles Basins Monterey- Temblor Pearsall Tuscaloosa Big Horn Basin Denver Basin Powder River Basin Park Basin Niobrara* Mowry Niobrara* Heath** Manning Canyon Appalachian Basin Antrim Barnett Bend New Albany Woodford Barnett- Woodford Lewis Hilliard- Baxter- Mancos Excello- Mulky Fayetteville Floyd- Neal Gammon Cody Haynesville- Bossier Hermosa Mancos Pierre Conasauga Michigan Basin Ft. Worth Basin Palo Duro Basin Permian Basin Illinois Basin Anadarko Basin Greater Green River Basin Cherokee Platform San Juan Basin Williston Basin Black Warrior Basin A r d m o r e B a s i n Paradox Basin Raton Basin Montana Thrust Belt Marfa Basin Valley & Ridge Province Arkoma Basin Forest

6

File:EIA-Ventura-E-liquids.pdf | Open Energy Information  

Open Energy Info (EERE)

East Part By 2001 Liquids Reserve Class East Part By 2001 Liquids Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 6.73 MB, MIME type: application/pdf) Description Ventura Basin, East Part By 2001 Liquids Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States California File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 18:47, 20 December 2010 Thumbnail for version as of 18:47, 20 December 2010 6,600 × 5,100 (6.73 MB) MapBot (Talk | contribs) Automated bot upload

7

File:EIA-Ventura-E-BOE.pdf | Open Energy Information  

Open Energy Info (EERE)

East Part By 2001 BOE Reserve Class East Part By 2001 BOE Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 6.72 MB, MIME type: application/pdf) Description Ventura Basin, East Part By 2001 BOE Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States California File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 18:46, 20 December 2010 Thumbnail for version as of 18:46, 20 December 2010 6,600 × 5,100 (6.72 MB) MapBot (Talk | contribs) Automated bot upload

8

Usage Demographics 2010  

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

NERSC Usage Demographics 2010 Academic Usage Usage by Discipline DOE & Other Lab Usage Usage by Institution Type Last edited: 2012-10-30 13:51:35...

9

Distributed energy resources at naval base ventura county building 1512  

E-Print Network (OSTI)

the prices of electricity and gas, that might make PV costprices increase by 10% Distributed Energy Resources at Naval Base Ventura Country Building 1512 over current Public Works levels, then PV

Bailey, Owen C.; Marnay, Chris

2004-01-01T23:59:59.000Z

10

Brain usage  

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

usage Name: A W Chen Status: NA Age: NA Location: NA Country: NA Date: NA Question: For my science fair project I would like to know if every part of the brain is used all the...

11

Brain Usage  

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

Usage Name: Matt Location: NA Country: NA Date: NA Question: what percentage of the brain does the average human use? Replies: This is a very difficult question to address. Your...

12

Distributed Energy Resources at Naval Base Ventura County Building 1512: A Sensitivity Analysis  

E-Print Network (OSTI)

Naval Base Ventura County Standby Generator Optimization20 Figure 7: Standby Charge Sensitivity Separate24 Figure 11: Standby Charge Sensitivity Analysis

Bailey, Owen C.; Marnay, Chris

2005-01-01T23:59:59.000Z

13

Distributed Energy Resources at Naval Base Ventura County Building 1512  

E-Print Network (OSTI)

LBNL-55340 Distributed Energy Resources at Naval Base Ventura County Building 1512 Prepared, of the U.S. Department of Energy under Contract No. DE-AC03-76SF00098. #12;Distributed Energy Resources and the Distributed Energy Program of DOE also provided prior funding to develop and validate the DER-CAM model

14

Usage of Electronic Monograph  

Science Conference Proceedings (OSTI)

Usage of Electronic Monograph. The following table shows the approximate usage of the monograph since April 1998. ...

2013-08-02T23:59:59.000Z

15

Ventura County, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Ventura County, California: Energy Resources Ventura County, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 34.3704884°, -119.1390642° 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":34.3704884,"lon":-119.1390642,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

16

On information-provided monitoring of geodynamic processes in the Kuznetsk Coal Basin in the conditions of highly intensive sub-soil usage  

Science Conference Proceedings (OSTI)

It is shown that formation of underground hollows of the Kuznetsk Coal Basin (Kuzbass), induced by opencut and underground mining has reached an intensity of 1.3-1.5 million m{sup 3}/day. In the conditions of high concentration of mines and open-cuts in small areas, a regional monitoring network is required in view of a generated geomechanical space, hazardous in geodynamic manifestations. A developed information support of this network is presented, including information models of a geological environment and database obtained from instrumental observations on geomechanical processes. The equations of connection between structural and strength characteristics of rocks, their metamorphization grade and occurrence depth are given for five geological-tectonic zones of the Kuzbass as a way of prediction of their properties.

Oparin, V.N.; Potapov, V.P.; Tanaino, A.S. [Russian Academy of Science, Novosibirsk (Russian Federation). Inst. of Mining

2006-09-15T23:59:59.000Z

17

File:EIA-Ventura-W-Cent-liquids.pdf | Open Energy Information  

Open Energy Info (EERE)

West and Central Parts By 2001 Liquids Reserve Class West and Central Parts By 2001 Liquids Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 2.7 MB, MIME type: application/pdf) Description Ventura Basin, West and Central Parts By 2001 Liquids Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States California File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 18:48, 20 December 2010 Thumbnail for version as of 18:48, 20 December 2010 6,600 × 5,100 (2.7 MB) MapBot (Talk | contribs) Automated bot upload

18

File:EIA-Ventura-W-Cent-BOE.pdf | Open Energy Information  

Open Energy Info (EERE)

West and Central Parts By 2001 BOE Reserve Class West and Central Parts By 2001 BOE Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 2.7 MB, MIME type: application/pdf) Description Ventura Basin, West and Central Parts By 2001 BOE Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States California File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 18:47, 20 December 2010 Thumbnail for version as of 18:47, 20 December 2010 6,600 × 5,100 (2.7 MB) MapBot (Talk | contribs) Automated bot upload

19

Brookhaven Logo Usage  

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

Logo Usage The Correct Usage of the BNL Logo - The following examples picture correct and incorrect use of the Laboratory logo. If you need assistance in using the logo, contact...

20

Context: Usage and Effectiveness  

Science Conference Proceedings (OSTI)

*. Bookmark and Share. Context: Usage and Effectiveness. US Navy Aircraft Halon 1301 Effectivity Analysis.. Tedeschi, M.; Leach, W.; 1995. ...

2011-12-14T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

APS LOM Shop Usage  

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

Division XSD Groups Industry Argonne Home Advanced Photon Source APS LOM Shop Usage User Shop Access - Policies and Procedures User Shop Orientation User Shop...

22

Energy Efficiency and Conservation Block Grant Program CA-City-San Buenaventura (Ventura)  

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

CA-City-San Buenaventura (Ventura) CA-City-San Buenaventura (Ventura) Location: City San Buenaventura CA (Ventura) American Recovery and Reinvestment Act: Proposed Action or Project Description 1) Public private partnership joint effort to meet clean air mandates (greenhouse gas reduction modeling and cost effective strategy development), 2) direct install program for non-profit organizations, 3) provide training to local workforce on energy efficiency building retrofits, 4) retrofit high pressure sodium street lights with energy efficiency light fixtures, and 5) install 300 kWh DC solar electric system and AC/DC inverters and battery power packs at historic City Hall (install as parking lot canopy or on top of concrete roof water reservoir) Conditions: None Categorical Exclusion(s) Applied: A9, A11, B2.5, B5.1

23

Robotics and Energy Usage  

E-Print Network (OSTI)

It is commonly assumed that the use of robots in an industrial plant will cut energy usage, because robots require no heat, light, or air conditioning in their work space. However, in analyzing industrial installations, we have found that, in practice, energy usage may either increase or decrease depending on the parameters of the particular facility. This paper describes our findings at the plants of various manufacturers. We performed on-site studies at plants operated by Chrysler Corporation in St. Louis (62 welding robots) and Franklin Manufacturing Company in St. Cloud, Minnesota (4 spray painting robots used in freezer manufacture), We also examined data on energy effects of robots from John Deere, caterpillar, and GM Guide Division. The effect of robots on electricity usage and other forms of energy usage are analyzed in this paper.

Hershey, R. L.; Fenton, S. E.; Letzt, A. M.

1983-01-01T23:59:59.000Z

24

Adaptive web usage profiling  

Science Conference Proceedings (OSTI)

Web usage models and profiles capture significant interests and trends from past accesses. They are used to improve user experience, say through recommendation of pages, pre-fetching of pages, etc. While browsing behavior changes dynamically over time, ...

Bhushan Shankar Suryavanshi; Nematollaah Shiri; Sudhir P. Mudur

2005-08-01T23:59:59.000Z

25

Exemplary Units Markup Language usage  

Science Conference Proceedings (OSTI)

Sample UnitsML tools and usage. ... Its usage is limited to demonstrating capabilities of plain XSLT processing with the data stored in UnitsML. ...

26

Automotive materials usage trends  

SciTech Connect

The materials composition of US passenger cars is traced from 1960 and projected into 1990's. Sales-weighted average vehicle-weight trends are analyzed in terms of shifts in the large/small car mix, downsizing, and downweighting. The growth in the usage of lightweight materials: -high strength steels, cast/wrought aluminum, plastics and composites - are examined in detail. Usage trends in a host of other materials such as alloy steels, zinc, lead, copper, etc. are also discussed. An approximate quantitative analysis of changes in the usage of steel by the automotive industry worldwide show that about 10% of total decline in Western-World steel consumption is accounted for by the automotive industry. An assessment is presented for automotive industry use of critical materials such as chromium in alloy steels/cast irons and the platinum group metals in exhaust-gas catalysts. 10 references, 13 figures, 9 tables.

Gjostein, N.A.

1986-01-01T23:59:59.000Z

27

usage_household2001.pdf  

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

Usage Indicators Tables Usage Indicators Tables (Million U.S. Households; 60 pages, 247 kb) Contents Pages HC6-1a. Usage Indicators by Climate Zone, Million U.S. Households, 2001 5 HC6-2a. Usage Indicators by Year of Construction, Million U.S. Households, 2001 5 HC6-3a. Usage Indicators by Household Income, Million U.S. Households, 2001 5 HC6-4a. Usage Indicators by Type of Housing Unit, Million U.S. Households, 2001 5 HC6-5a. Usage Indicators by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 5 HC6-6a. Usage Indicators by Type of Rented Housing Unit, Million U.S. Households, 2001 5 HC6-7a. Usage Indicators by Four Most Populated States, Million U.S. Households, 2001 5

28

Energy Usage | Department of Energy  

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

Usage Energy Usage How much do you spend per year compared to others? A state-by-state map of per capita energy expenditures. Subtopics Storage Consumption Transmission Smart Grid...

29

Memory Usage Considerations on Franklin  

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

the memory requirement vvia internal checking in their codes or by some tools. Craypat could track heap usage. And IPM also tracks memory usage. Last edited: 2013-06-30 08:33:51...

30

Usage by Job Size  

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

Usage by Job Usage by Job Size Table Usage by Job Size Table page loading animation Usage Query Interface System All Hopper Edison Carver Planck Matgen Franklin Hopper 1 Magellan Dirac Bassi Jacquard Seaborg User Account (Repo) Execution Queue All Debug Interactive Premium Regular Short Regular Long Regular Small Regular Medium Regular Big Regular Extra Big Killable Low Transfer IO Task Special System Serial Big Memory Westmere === Inactive === Magellan Serial Magellan Short Magellan Small Magellan Medium Magellan Big Magellan Long Regular 1 Regular 1 Long Regular 16 Regular 32 Regular 48 Full Config Seaborg Serial Batch 16 Batch 32 Batch 64 Submit Queue all interactive debug premium regular low DOE Office all ASCR BER BES FES HEP NP Summary for jobs that completed after Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 @ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 : 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59

31

Improving energy usage  

SciTech Connect

The Phillips Petroleum Company's Borger Refinery and NGL Process Center Energy Conservation program has been one of surveying, making revisions and additions to, and redesign of processes and equipment to conserve energy. Special emphasis has been placed on minimizing energy usage in the design of new processes in the plants. In 1972 an average of 758,800 Btu's were used to process each barrel of fresh charge. Now 7.5 days of fresh charge are being saved to the plant each year. The energy-use reduction programs discussed were: (1) furnace and boiler excess-oxygen and combustibles control program; (2) installation of an Applied Automation, Inc., Fractionator Computer Control System named Optrol; and (3) the steam-trap program. 1 figure. (DP)

Haage, P.R.

1983-03-01T23:59:59.000Z

32

HPSS Usage Examples at NERSC  

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

Examples Advanced Usage Examples Transferring Data from Batch Jobs Once you have set up your automatic HPSS authentication you can access HPSS within batch scripts. Read More ...

33

The UCONABC usage control model  

Science Conference Proceedings (OSTI)

In this paper, we introduce the family of UCONABC models for usage control (UCON), which integrate Authorizations (A), oBligations (B), and Conditions (C). We call these core models because they address the essence of UCON, leaving ... Keywords: access control, digital rights management, privacy, trust, usage control

Jaehong Park; Ravi Sandhu

2004-02-01T23:59:59.000Z

34

step 1: retrieve usage step 2: convert usage  

E-Print Network (OSTI)

planet #12;step 2: convert usage data to ghg electricity conversion EPA eGRID database provides state by state data on: lbs CO2 / MWh lbs NOx / MWH eGRID Massachusetts ­ specific conversion factors only

Paulsson, Johan

35

Distributed Energy Resources at Naval Base Ventura County Building1512: A Sensitivity Analysis  

Science Conference Proceedings (OSTI)

This report is the second of a two-part study by BerkeleyLab of a DER (distributed energy resources) system at Navy Base VenturaCounty (NBVC). First, a preliminary assessment ofthe cost effectivenessof distributed energy resources at Naval Base Ventura County (NBVC)Building 1512 was conducted in response to the base s request for designassistance to the Federal Energy Management Program (Bailey and Marnay,2004). That report contains a detailed description of the site and theDER-CAM (Consumer Adoption Model) parameters used. This second reportcontains sensitivity analyses of key parameters in the DER system modelof Building 1512 at NBVC and additionally considers the potential forabsorption-powered refrigeration.The prior analysis found that under thecurrent tariffs, and given assumptions about the performance andstructure of building energy loads and available generating technologycharacteristics, installing a 600 kW DER system with absorption coolingand recovery heat capabilities could deliver cost savings of about 14percent, worth $55,000 per year. However, under current conditions, thisstudy also suggested that significant savings could be obtained ifBuilding 1512 changed from its current direct access contract to a SCETOU-8 (Southern California Edison time of use tariff number 8) ratewithout installing a DER system. Evaluated on this tariff, the potentialsavings from installation of a DER system would be about 4 percent of thetotal bill, or $16,000 per year.

Bailey, Owen C.; Marnay, Chris

2005-06-05T23:59:59.000Z

36

Energy usage in super markets  

SciTech Connect

The supermarket industry used 450 billion Btu's of energy each day, enough to heat 2 million homes. But more important than the overall energy usage is what energy is costing the supermarket operator; in many cases energy costs exceed rent. This special research report is designed to help the supermarket management determine if their stores are excessive energy users and to provide valuable data for planning remodels and new stores. The report is presented in five sections. The first two sections, General Observations and Monthly Electrical Usage and Demand Power, can easily be used by all supermarket operators. The third and fourth sections contain more detailed statistics that will be valuable to industry people who want to analyze energy usage more thoroughly. The statistics in section 1-4 are reported for various geographic regions and store sizes. Section five is the sample distribution which provides an insight into what other stores are using for refrigeration, lighting, etc. The information in this report is average for a typical supermarket and should be used only as that when compared to a specific supermarket facility.

Gerke, E.

1976-01-01T23:59:59.000Z

37

Towards Sustainable Material Usage: Investigating Limits to ...  

Science Conference Proceedings (OSTI)

Presentation Title, Towards Sustainable Material Usage: Investigating Limits to ... secondary resources decreases energy consumption; this energy advantage...

38

Resource and Fuels Usage Contacting the Authors  

E-Print Network (OSTI)

) % of 1990 usage Natural gas 577 24% Biomass 494 1190% Renewables 182 106% Nuclear 73 62% Coal 561 908 sectors · LDV is least carbon-intensive Total Energy (PJ) % of 1990 usage Natural gas 122 5% Biomass 891T activity) 9% line (218% PxT activity) In-State Emissions Total Energy (PJ) % of 1990 usage Natural gas 123

California at Davis, University of

39

Predicting hourly building energy usage  

SciTech Connect

This article presents the results of an evaluation to identify the most accurate method for making hourly energy use predictions. The prediction of energy usage by HVAC systems is important for the purposes of HVAC diagnostics, system control, parameter and system identification, optimization and energy management. Many new techniques are now being applied to the analysis problems involved with predicting the future behavior of HVAC systems and deducing properties of these systems. Similar problems arise in most observational disciplines, including physics, biology and economics.

Kreider, J.F. (Univ. of Colorado, Boulder, CO (United States). Dept. of Civil, Environmental and Architectural Engineering); Haberl, J.S. (Texas A and M Univ., College Station, TX (United States). Mechanical Engineering Dept.)

1994-06-01T23:59:59.000Z

40

Device for monitoring utility usage  

SciTech Connect

A device for monitoring utility usage for installation and use by homeowners and consumers with existing public utility meters having a disk that is mounted inside a transparent case and that rotates in response to electrical current usage, the device is described comprising: a disk rotation monitoring assembly for mounting on the exterior of the transparent case, said monitoring assembly comprising: (a) a sensor for sensing disk rotation speed and generating a signal in response thereto; and (b) means for mounting said sensor on the transparent case, said mounting means further comprising means for holding said sensor, means for attaching said holding means to the transparent case, and means for adjusting the position of said holding means to enable precise alignment of said sensor with the plane of the disk such that said sensor is in optical communication with the edge of said disk; one or more remote display terminals in electrical communication with said monitoring assembly, each of said one or more remote terminals comprising: (a) means for receiving said signal and processing said signal into utility consumption data; (b) an electronic memory for storing said data; (c) a visual display for displaying data in a reader-usable format about consumption; and (d) a display controller that enables selective displaying of any of said data on said visual display.

Green, R.G.

1993-05-25T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

NEWTON: Blood Group Systems Usage  

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

Blood Group Systems Usage Blood Group Systems Usage Name: Kishori Status: student Grade: n/a Location: Outside U.S. Country: India Date: Summer 2013 Question: What is the difference between MN blood group system and ABO bloodgroup system? Although, we nowadays prefer ABO blood groups why do we use MN blood groups in the forensic department? Replies: Humans actually have multiple blood antigens on the surface of our blood cells. Wikipedia says that there are over 50 different blood group antigens. ABO and Rh are just the most dominant. Rh actually has 3 alleles called C, D and E. So one could be CCddee, for example, but clinically, when referring to Rh, only the D antigen is considered. So MN is another system that is also present. The reason it would be considered in forensics is due to population genetics considerations. Certain combinations are found in different percentages depending on what ancestry a person is a part of. Humans evolved in isolation from each other and until relatively recently, were separated due to difficult travel/migration. But even though we can move around the planet easily now, we still carry the history of our ancestry in our DNA. M and N are codominant, like the ABO system.

42

EART 265 Lecture Notes: Energy Energy Usage  

E-Print Network (OSTI)

EART 265 Lecture Notes: Energy Energy Usage US per capita energy usage is 10 kW. This represents 1 of 2 kW. Euro- pean countries tend to use less energy per capita by a factor of 2. China's per capita/4 of the worldwide energy usage, and with 1/20th of the world population gives a global average power consumption

Nimmo, Francis

43

Memory Usage Considerations on Hopper  

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

Memory Considerations Memory Considerations Memory Considerations Memory Usage Considerations on Hopper Most Hopper compute nodes have 32 GB of physical memory, but, not all that memory is available to user programs. Compute Node Linux (the kernel), the Lustre file system software, and message passing library buffers all consume memory, as does loading the executable into memory. Thus the precise memory available to an application varies. Approximately 31 GB of memory can be allocated from within an MPI program using all 24 cores per node, i.e., 1.29 GB per MPI task on average. If an application uses 12 MPI tasks per node, then each MPI task could use about 2.58 GB of memory. You may see an error message such as "OOM killer terminated this process." "OOM" means Out of Memory and it means that your code has exhausted the

44

Residential Energy Usage by Origin of Householder  

U.S. Energy Information Administration (EIA)

Home > Energy Users > Residential Home Page > Energy Usage by Origin of Householder. Consumption and Expenditures. NOTE: To View and/or Print PDF's ...

45

Exploring iPhone Usage: The Influence of Socioeconomic Differences on Smartphone Adoption, Usage and Usability  

E-Print Network (OSTI)

on device usage. Among our findings are that a large number of applications were uninstalled, lower SESExploring iPhone Usage: The Influence of Socioeconomic Differences on Smartphone Adoption, Usage. of Electrical and Computer Engineering, 2 Dept. of Psychology, Rice University, Houston, TX {rahmati, chad

Zhong, Lin

46

Usage analysis and the web of data  

Science Conference Proceedings (OSTI)

The workshop on Usage Analysis and the Web of Data (USEWOD2011) was the first workshop in the field to investigate combinations of usage data with semantics and the Web of Data. Questions the workshop aims to address are for example: How can semantics ...

Bettina Berendt; Laura Hollink; Vera Hollink; Markus Luczak-Rsch; Knud Mller; David Vallet

2011-05-01T23:59:59.000Z

47

Detecting and analyzing insecure component usage  

Science Conference Proceedings (OSTI)

Software is commonly built from reusable components that provide desired functionalities. Although component reuse significantly improves software productivity, insecure component usage can lead to security vulnerabilities in client applications. ... Keywords: differential testing, insecure component usage, testing and analysis of real-world software

Taeho Kwon; Zhendong Su

2012-11-01T23:59:59.000Z

48

Determination of usage patterns and emissions for propane/LPG in California. Final report  

SciTech Connect

The purpose of the study was to determine California usage patterns of Liquified Petroleum Gas (LPG), and to estimate propane emissions resulting from LPG transfer operations statewide, and by county and air basin. The study is the first attempt to quantify LPG transfer emissions for California. This was accomplished by analyzing data from a telephone survey of California businesses that use LPG, by extracting information from existing databases.

Sullivan, M.

1992-05-01T23:59:59.000Z

49

General Guidance on Data Usage and Management  

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

General Guidance on Data Usage and Management General Guidance on Data Usage and Management Summary Data Usage Credit Data Management and Documentation: Introduction Our philosophy Data management Record measured values Zero versus missing value Metadata Data documentation Define variables Specify units Provide citations For additional information Summary Ensure long-term preservation of, and full and open access to, high-quality data sets Give proper credit to the researchers providing the data Provide thorough, yet simple, documentation: how the data were produced, what they mean Generate ASCII data and documentation files; they ensure readibility by virtually all users Define variable names and units Point to, or provide, important publications that further document the data Data usage CDIAC fully supports the July 1991 Policy Statements on Data Management for

50

ERP Usage in Practice: An Empirical Investigation  

Science Conference Proceedings (OSTI)

This study presents the results of an exploratory study of Fortune 1000 firms and their enterprise resource planning ERP usage, as well as benefits and changes they have realized from ERP. The study empirically examines ERP in these organizations to ...

Mary C. Jones; Randall Young

2006-01-01T23:59:59.000Z

51

Material impacts on operational energy usage  

E-Print Network (OSTI)

Decisions regarding materials and construction of a building are made all the time in the architectural process, but thought is not always given to how those choices may affect the buildings ultimate energy usage and the ...

Love, Andrea, S.M. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

52

Microsoft Word - Epoxy Usage Form.docx  

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

Division Form Rev. 41111 Monthly Epoxy Usage Form (Weight in Grams) Date Initials CTD 101K Stycast Catalyst Epon Resin Epicure Part A Part B Part C 2850 24LV 815828 3140...

53

Electricity Use in California: Past Trends and Present Usage...  

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

Use in California: Past Trends and Present Usage Patterns Title Electricity Use in California: Past Trends and Present Usage Patterns Publication Type Journal Article Year of...

54

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

Alphabetically Tools by Platform PC Mac UNIX Internet Tools by Country Related Links Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides...

55

CNST NanoFab Facility User Computer Security and Usage ...  

Science Conference Proceedings (OSTI)

Page 1. CNST NanoFab Facility User Computer Security and Usage Policy ... CNST NanoFab Facility User Computer Security and Usage Policy ...

2013-07-31T23:59:59.000Z

56

arXiv.org help - arXiv usage statistics  

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

by major subject areas through January 2013 Access and download statistics: Today's usage for arXiv.org (not including mirrors) Institutional Usage Statistics: 2009, 2010,...

57

File:Denver Basin.pdf | Open Energy Information  

Open Energy Info (EERE)

Basin.pdf Basin.pdf Jump to: navigation, search File File history File usage File:Denver Basin.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 625 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 11:00, 4 March 2013 Thumbnail for version as of 11:00, 4 March 2013 1,275 × 1,650 (625 KB) Alevine (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file. Retrieved from "http://en.openei.org/w/index.php?title=File:Denver_Basin.pdf&oldid=5897

58

How Usage is Charged at NERSC  

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

usage usage is charged How usage is charged MPP Charging (Computational Systems) When a job runs on a NERSC MPP system, such as Hopper, charges accrue against one of the user's repository allocations. The unit of accounting for these charges is the "MPP Hour". A parallel job is charged for exclusive use of each multi-core node allocated to the job. The MPP charge for such a job is calculated as the product of: the job's elapsed wall-clock time in hours, the number of nodes allocated to the job (regardless of the number actually used), the number of cores available on each allocated node, a machine charge factor (MCF) based on typical performance of the machine relative to Hopper (MCF=1.0), and a queue charge factor (QCF). Queue priority scheduling gives users

59

Automobile usage patterns. Highlight report. Volume XIV  

SciTech Connect

A report is given as part of a series of studies dealing with general public behavior and attitudes towards energy conservation. Specifically, this study concentrates on automobile usage patterns. The study is based on 1,007 telephone interviews and includes topics such as car usage affected by lifestyle, car usage patterns, planned trips as compared with routine or spontaneous trips, times per week trip is usually made, analysis of trips, the extent to which shopping trips are done by phone instead of by car, willingness to cut out trips, factors deterring car use, and a summary which concludes that the primary way that people could cut down automobile use without eliminating leisure time use would be in more careful planning of trip for shopping and errands. Another important finding in this study is lack of sensitivity to gasoline prices. (GRA)

Rappeport, M.; Labaw, P.

1975-09-01T23:59:59.000Z

60

Reducing the Energy Usage of Office Applications  

E-Print Network (OSTI)

In this paper, we demonstrate how component-based middleware can reduce the energy usage of closed-source applications. We rst describe how the Puppeteer system exploits well-dened interfaces exported by applications to modify their behavior. We then present a detailed study of the energy usage of Microsoft's PowerPoint application and show that adaptive policies can reduce energy expenditure by 49% in some instances. In addition, we use the results of the study to provide general advice to developers of applications and middleware that will enable them to create more energy-ecient software. 1

Jason Flinn; Eyal De Lara; M. Satyanarayanan; Dan S. Wallach; Willy Zwaenepoel; Willy

2001-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

CloudMonitor: Profiling Power Usage  

E-Print Network (OSTI)

In Cloud Computing platforms the addition of hardware monitoring devices to gather power usage data can be impractical or uneconomical due to the large number of machines to be metered. CloudMonitor, a monitoring tool that can generate power models for software-based power estimation, can provide insights to the energy costs of deployments without additional hardware. Accurate power usage data leads to the possibility of Cloud providers creating a separate tariff for power and therefore incentivizing software developers to create energy-efficient applications.

Smith, James William; Ward, Jonathan Stuart; Sommerville, Ian

2012-01-01T23:59:59.000Z

62

Identifying diverse usage behaviors of smartphone apps  

Science Conference Proceedings (OSTI)

Smartphone users are increasingly shifting to using apps as "gateways" to Internet services rather than traditional web browsers. App marketplaces for iOS, Android, and Windows Phone platforms have made it attractive for developers to deploy apps and ... Keywords: app usage behavior, smartphone apps

Qiang Xu; Jeffrey Erman; Alexandre Gerber; Zhuoqing Mao; Jeffrey Pang; Shobha Venkataraman

2011-11-01T23:59:59.000Z

63

Energy usage of rotating biological contractor facilities  

SciTech Connect

A recent US Environmental Protection Agency field study investigated the energy requirements for rotating biological contactor (RBC) units. The energy measurements for mechanically driven units varied considerably, but the overall average of 2.03 kW/shaft was very close to current manufacturer estimates. The power factor of most of the mechanically driven units was very low, and most installations could benefit from power factor correction. The energy requirements of air driven units also were highly variable and must be evaluated on an individual plant basis. The results of this study provide factual data on energy usage of RBC units, as well as a basis for developing design and operational considerations to reduce energy usage and maximize operational flexibility and plant performance. 9 references, 7 tables.

Gilbert, W.G.; Wheeler, J.F.; MacGregor, A.

1986-01-01T23:59:59.000Z

64

Green Button Helps More Consumers Click with Their Energy Usage...  

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

Helps More Consumers Click with Their Energy Usage Data Green Button Helps More Consumers Click with Their Energy Usage Data September 12, 2013 - 2:41pm Addthis At the White House...

65

Soy Protein ProductsChapter 7 Regulations Regarding Usage  

Science Conference Proceedings (OSTI)

Soy Protein Products Chapter 7 Regulations Regarding Usage Health Nutrition Biochemistry eChapters Health - Nutrition - Biochemistry AOCS Press Downloadable pdf of Chapter 7 Regulations Regarding Usage from the

66

New energy usage patterns in manufacturing  

SciTech Connect

Long term energy demands of industrial societies will exceed energy production capabilities if present usage patterns remain unchanged. Thus the central core of the current energy dilemma involves the change from reliance on petroleum sources to the utilization of more plentiful energy resources. The two energy resources which are plentiful and the technology already exists for their development are coal and uranium. Several concepts of substituting electricity for oil and natural gas are presented.

Hauser, L.G.

1976-01-01T23:59:59.000Z

67

Energy Usage Data Standard for US Smart Grid Passes Key ...  

Science Conference Proceedings (OSTI)

Energy Usage Data Standard for US Smart Grid Passes Key Advisory Panel Vote. From NIST Tech Beat: March 1, 2011. ...

2011-03-01T23:59:59.000Z

68

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

residential transportation energy usage is vital for theDensity on Vehicle Usage and Energy Consumption Table 2Density on Vehicle Usage and Energy Consumption with

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

69

How Households Use Different Types of Vehicles: A Structural Driver Allocation and Usage Model  

E-Print Network (OSTI)

types Mini cars have approximately average usage. SubcompactCompact cars have greater than average usage only if theycar is driven morethan otherwise expected. The . -elationships between usage

Golob, Thomas F.; Kim, Seyoung; Ren, Weiping

1996-01-01T23:59:59.000Z

70

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network (OSTI)

on vehicle usage and energy consumption. Journal of Urbanon vehicle usage and fuel consumption Jinwon Kim and Davidon vehicle usage and fuel consumption* Jinwon Kim and David

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

71

An assessment of worldwide supercomputer usage  

SciTech Connect

This report provides a comparative study of advanced supercomputing usage in Japan and the United States as of Spring 1994. It is based on the findings of a group of US scientists whose careers have centered on programming, evaluating, and designing high-performance supercomputers for over ten years. The report is a follow-on to an assessment of supercomputing technology in Europe and Japan that was published in 1993. Whereas the previous study focused on supercomputer manufacturing capabilities, the primary focus of the current work was to compare where and how supercomputers are used. Research for this report was conducted through both literature studies and field research in Japan.

Wasserman, H.J.; Simmons, M.L.; Hayes, A.H.

1995-01-01T23:59:59.000Z

72

File:Black.Warrior.Basin usgs.map.pdf | Open Energy Information  

Open Energy Info (EERE)

Black.Warrior.Basin usgs.map.pdf Black.Warrior.Basin usgs.map.pdf Jump to: navigation, search File File history File usage Undiscovered Oil and Gas Resources of the Black Warrior Basin Province of Alabama and Mississippi Size of this preview: 742 × 600 pixels. Full resolution ‎(1,860 × 1,504 pixels, file size: 148 KB, MIME type: application/pdf) Description Undiscovered Oil and Gas Resources of the Black Warrior Basin Province of Alabama and Mississippi Sources USGS Related Technologies Oil, Gas Creation Date 2007 Extent Black Warrior Basin Province Countries United States UN Region Northern America States Alabama, Mississippi Location of the Black Warrior Basin Province in northwestern Alabama and northeastern Mississippi, published in the USGS report entitled, Geologic Assessment of Undiscovered Oil and Gas Resources of the Black Warrior Basin

73

Reducing Energy Usage in Extractive Distillation  

E-Print Network (OSTI)

Butadiene 1:3 is separated from other C4-hydrocarbons by extractive distillation in a sieve plate tower. Prior to the development work to be described, the pressure in the extraction tower was controlled at a fixed value. The tower pressure-boilup control loop did not behave satisfactorily in the presence of non-condensables which entered with the feed. The capacity of the flooded reflux drum condenser for the tower was limiting production during summer months. The tower pressure control loop was put on manual. The pressure was allowed to drop to its lowest attainable value for the existing conditions of boilup and condenser cooling capability. This manner of operation is known as floating pressure control. By taking advantage of the higher relative volatility at the lower tower pressure, energy usage was reduced and there was an increase in production capacity. The tower operation at a lower temperature reduced tower and reboiler fouling. Substantial savings have resulted from these improvements. The annual energy consumption has been reduced by 25% and maximum productive capacity is higher by 15%. The rate of tower and reboiler fouling has not been fully quantified but is greatly reduced. A more stable tower operation has also contributed to higher productivity and reduced energy usage. Venting of non-condensables does not affect tower stability and the operators have adapted well to the new control strategy.

Saxena, A. C.; Bhandari, V. A.

1985-05-01T23:59:59.000Z

74

Basin Destination State  

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

3. Estimated rail transportation rates for coal, basin to state, EIA data 3. Estimated rail transportation rates for coal, basin to state, EIA data Basin Destination State 2008 2009 2010 2008-2010 2009-2010 Northern Appalachian Basin Delaware $28.49 - W W - Northern Appalachian Basin Florida - $38.51 $39.67 - 3.0 Northern Appalachian Basin Georgia - W - - - Northern Appalachian Basin Indiana $20.35 $16.14 $16.64 -9.6 3.1 Northern Appalachian Basin Kentucky - - W - - Northern Appalachian Basin Maryland $19.64 $19.60 $20.41 1.9 4.2 Northern Appalachian Basin Michigan $14.02 $16.13 $16.23 7.6 0.6 Northern Appalachian Basin New Hampshire $43.43 $40.18 $39.62 -4.5 -1.4

75

Basin Destination State  

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

4. Estimated rail transportation rates for coal, basin to state, EIA data 4. Estimated rail transportation rates for coal, basin to state, EIA data Basin Destination State 2008 2009 2010 2008-2010 2009-2010 Northern Appalachian Basin Delaware $26.24 - W W - Northern Appalachian Basin Florida - $35.10 $35.74 - 1.8 Northern Appalachian Basin Georgia - W - - - Northern Appalachian Basin Indiana $18.74 $14.70 $14.99 -10.6 1.9 Northern Appalachian Basin Kentucky - - W - - Northern Appalachian Basin Maryland $18.09 $17.86 $18.39 0.8 3.0 Northern Appalachian Basin Michigan $12.91 $14.70 $14.63 6.4 -0.5 Northern Appalachian Basin New Hampshire $40.00 $36.62 $35.70 -5.5 -2.5

76

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

Energy Usage Forecasts Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides free 14-day ahead energy usage forecasts based on the degree day forecasts for 1,200 stations in the U.S. and Canada. The user enters the daily non-weather base load and the usage per degree day weather factor; the tool applies the degree day forecast and displays the total energy usage forecast. Helpful FAQs explain the process and describe various options for the calculation of the base load and weather factor. Historical degree day reports and 14-day ahead degree day forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature, load calculation, energy simulation Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700.

77

Cleaning optimization for reduced chemical usage  

SciTech Connect

The use of dilute SC-1 (NH40H:H202:H20) chemistry cleaning processes for particle removal from silicon surfaces has been investigated. Dilute chemistries can be highly effective, especially when high- frequency acoustic energy (megasonics) is applied. The high particle removal efficacy of the dilute chemistry processes presumably arises due to increased double layer effects caused by reduced ionic strength. Dilute chemistry SC- I solutions exhibit somewhat reduced efficacy for removal of certain light organics; however, when dilute SC-1 is used along with other pre-gate cleaning steps (e.g. HF, SC-2, and piranha), then the overall cleaning sequence is quite effective. In addition to providing robust cleaning processes, dilute chemistries also result in significantly lower chemical and rinse water usage. Waste water treatment requirements are also lessened when dilute chemistry cleaning solutions are employed.

Resnick, P.J.; Simonson, G.C.; Matlock, C.A.; Kelly, M.J.

1996-11-01T23:59:59.000Z

78

Child Care Availability and Usage Among Welfare Recipients  

E-Print Network (OSTI)

Child Care Availability and Usage Among Welfare Recipients 1the impact that the availability of nearby licensed care hasemployment and that the availability of nearby licensed care

Houston, Douglas; Ong, Paul M.

2003-01-01T23:59:59.000Z

79

POWER PLANT WATER USAGE AND LOSS STUDY - Final  

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

POWER PLANT WATER USAGE AND LOSS STUDY August 2005 Revised May 2007 Prepared for: The United States Department of Energy National Energy Technology Laboratory DOE Gasification...

80

VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________  

E-Print Network (OSTI)

VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase of the owning Unit. Vehicle Homebase: Enter the City, Zip Code, Building, or other location designation. Week

Johnston, Daniel

Note: This page contains sample records for the topic "usage ventura basin" 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

Form EIA-457E (2001) -- Household Bottled Gas Usage  

Annual Energy Outlook 2012 (EIA)

Fuel Oil or Kerosene Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the...

82

NANOFAB TOOL USAGE RATES Effective 1/1/13  

Science Conference Proceedings (OSTI)

... Application specific training beyond general tool usage will require additional training time and should be discussed with process engineer prior to ...

2013-07-18T23:59:59.000Z

83

Integrate Real-Time Weather with Thermostat Electrical Usage...  

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

Xiufeng Pang Weather and its dynamics are big drivers of energy usage. Integration of key weather variables - solar, wind, and temperature - into home energy management and demand...

84

Usage derived recommendations for a video digital library  

Science Conference Proceedings (OSTI)

We describe a minimalist methodology to develop usage-based recommender systems for multimedia digital libraries. A prototype recommender system based on this strategy was implemented for the Open Video Project, a digital library of videos that are freely ... Keywords: Open Video Project, Recommender systems, Usage analysis, Video

Johan Bollen; Michael L. Nelson; Gary Geisler; Raquel Araujo

2007-08-01T23:59:59.000Z

85

A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES  

E-Print Network (OSTI)

A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES Anthony Kanago, Kevin Roos, James--Tracking the energy usage of an autonomous underwater vehicle (AUV) and making accurate data available provides especially effectively in energy-aware systems, allowing inspection vehicles (which typically travel farther

Idaho, University of

86

Cloud resource usage: extreme distributions invalidating traditional capacity planning models  

Science Conference Proceedings (OSTI)

For years Capacity Planning professionals knew or suspected that various characteristics of computer usage have non-normal distribution. At the same time much of the traditional workload modeling and forecasting is based on mathematical techniques assuming ... Keywords: capacity planning, power law, probability distributions, resource usage, volatility

Charles Z. Loboz

2011-06-01T23:59:59.000Z

87

Towards appliance usage prediction for home energy management  

Science Conference Proceedings (OSTI)

In this paper, we address the problem of predicting the usage of home appliances where a key challenge is to model the everyday routine of homeowners and the inter-dependency between the use of different appliances. To this end, we propose an agent based ... Keywords: home energy management, usage prediction

Ngoc Cuong Truong, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn

2013-01-01T23:59:59.000Z

88

Basin Destination State  

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

43 $0.0294 W - W W - - - 43 $0.0294 W - W W - - - Northern Appalachian Basin Florida $0.0161 W W W W $0.0216 W W W W W Northern Appalachian Basin Illinois W W - - - - - - - - - Northern Appalachian Basin Indiana W W W W W W W W W W W Northern Appalachian Basin Kentucky - - W W - - - - - - - Northern Appalachian Basin Maryland $0.0296 $0.0277 $0.0292 $0.0309 $0.0325 $0.0328 $0.0357 $0.0451 $0.0427 4.7 -5.3 Northern Appalachian Basin Massachusetts W W - - - - - - - - -

89

Basin Destination State  

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

$15.49 $13.83 W - W W - - - $15.49 $13.83 W - W W - - - Northern Appalachian Basin Florida $19.46 W W W W $29.49 W W W W W Northern Appalachian Basin Illinois W W - - - - - - - - - Northern Appalachian Basin Indiana W W W W W W W W W W W Northern Appalachian Basin Kentucky - - W W - - - - - - - Northern Appalachian Basin Maryland $10.33 $9.58 $10.68 $12.03 $13.69 $14.71 $16.11 $19.72 $20.69 9.1 4.9 Northern Appalachian Basin Massachusetts W W - - - - - - - - -

90

Basin Destination State  

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

$0.0323 $0.0284 W - W W - - - $0.0323 $0.0284 W - W W - - - Northern Appalachian Basin Florida $0.0146 W W W W $0.0223 W W W W W Northern Appalachian Basin Illinois W W - - - - - - - - - Northern Appalachian Basin Indiana W W W W W W W W W W W Northern Appalachian Basin Kentucky - - W W - - - - - - - Northern Appalachian Basin Maryland $0.0269 $0.0255 $0.0275 $0.0299 $0.0325 $0.0339 $0.0380 $0.0490 $0.0468 7.2 -4.3 Northern Appalachian Basin Massachusetts W W - - - - - - - - -

91

Residential energy usage comparison project: An overview  

SciTech Connect

This report provides an overveiw of the residential energy usage comparison project, an integrated load and market research project sponsored by EPRI and the Southern California Edison Company. Traditional studies of the relative energy consumption of electric and gas household appliances have relied on laboratory analyses and computer simulations. This project was designed to study the appliance energy consumption patterns of actual households. Ninety-two households in Orange County, California, southeast of Los Angeles, served as the study sample. Half of the households received new electric space-conditioning, water-heating, cooking, and clothes-drying equipment; the other half received gas equipment. The electric space-conditioning and water-heating appliances were heat pump technologies. All of the appliances were metered to collect load-shape and energy consumption data. The households were also surveyed periodically to obtain information on their energy needs and their acceptance of the appliances. The metered energy consumption data provide an important benchmark for comparing the energy consumption and costs of alternative end-use technologies. The customer research results provide new insights into customer preferences for fuel and appliance types. 15 figs., 3 tabs.

Smith, B.A.; Uhlaner, R.T.; Cason, T.N. (Quantum Consulting, Inc., Berkeley, CA (USA))

1990-10-01T23:59:59.000Z

92

Basin Destination State  

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

Basin Basin Destination State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Northern Appalachian Basin Delaware W W $16.45 $14.29 W - W W - - - Northern Appalachian Basin Florida $21.45 W W W W $28.57 W W W W W Northern Appalachian Basin Illinois W W - - - - - - - - - Northern Appalachian Basin Indiana W W W W W W W W W W W Northern Appalachian Basin Kentucky - - W W - - - - - - - Northern Appalachian Basin Maryland $11.39 $10.39 $11.34 $12.43 $13.69 $14.25 $15.17 $18.16 $18.85 6.5 3.8

93

POWER PLANT WATER USAGE AND LOSS STUDY - Final  

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

POWER PLANT WATER USAGE AND LOSS STUDY POWER PLANT WATER USAGE AND LOSS STUDY August 2005 Revised May 2007 Prepared for: The United States Department of Energy National Energy Technology Laboratory DOE Gasification Technology Manager: Gary J. Stiegel DOE Project Manager: James R. Longanbach Project Manager: Michael D. Rutkowski Principal Investigators: Michael G. Klett Norma J. Kuehn Ronald L. Schoff Vladimir Vaysman Jay S. White Power Plant Water Usage and Loss Study i August 2005 TABLE OF CONTENTS TABLE OF CONTENTS ...................................................................................................................... I LIST OF TABLES.............................................................................................................................III

94

Texas-Louisiana- Mississippi Salt Basin Greater Green River Basin  

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

Texas-Louisiana- Texas-Louisiana- Mississippi Salt Basin Greater Green River Basin W. Gulf Coast Basin Appalachian Basin Wind River Basin Eastern Shelf NW Shelf Abo Sussex-Shannon Muddy J Mesaverde- Lance-Lewis Medina/Clinton-Tuscarora Bradford-Venango-Elk Berea-Murrysville Piceance Basin Bossier Williston Basin Ft Worth Basin Davis Bighorn Basin Judith River- Eagle Permian Basin Anadarko Basin Denver Basin San Juan Basin North-Central Montana Area Uinta Basin Austin Chalk Codell-Niobrara Penn-Perm Carbonate Niobrara Chalk Dakota Morrow Mesaverde Thirty- One Cleveland Ozona Canyon Wasatch- Mesaverde Red Fork Mesaverde Granite Wash Stuart City-Edwards Bowdoin- Greenhorn Travis Peak Olmos Cotton Valley Vicksburg Wilcox Lobo Pictured Cliffs Cretaceous Cretaceous-Lower Tertiary Mancos- Dakota Gilmer Lime Major Tight Gas Plays, Lower 48 States

95

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

residential transportation energy usage is vital for theDensity on Vehicle Usage and Energy Consumption ReferencesDensity on Vehicle Usage and Energy Consumption UCI-ITS-WP-

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

96

How Households Use Different Types of Vehicles: A Structural Driver Allocation and Usage Model  

E-Print Network (OSTI)

the first car. Mid-size car usage also involves the secondTypes Mini cars have approximately average usage. SubcompactCompact cars have greater than average usage only if they

Golob, Thomas F.; Kim, Seyoung K.; Ren, Weiping Willliam

1995-01-01T23:59:59.000Z

97

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network (OSTI)

of usage nationwide, we can estimate total national energythe total combined energy use. 3. Average usage over alltotal game console usage, this suggests that an appreciable fraction of console energy

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

98

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

on Vehicle Usage and Energy Consumption References Bento,Vehicle Usage and Energy Consumption UCI-ITS-WP-05-1 Thomason Vehicle Usage and Energy Consumption Thomas F. Golob

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

99

Energy Usage Information: Lessons from the Credit Reporting Industry.  

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

Energy Usage Information: Lessons from the Credit Reporting Industry. Energy Usage Information: Lessons from the Credit Reporting Industry. Speaker(s): Philip Henderson Date: October 4, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page There has been much discussion about the use of customer energy usage information to deliver value, such as with benchmarking tools that compare energy use in a building to a peer set, continuous commissioning services that diagnose faults in building systems, and tools that estimate expected savings from upgrades. A utility can use customer information to deliver these kinds of services to its customers directly, but most utilities today do not enable companies to obtain a customer's energy usage information in a systematic, automated way to deliver services to the customer, even if

100

People are Strange: Current Behavioral Insights into Energy Usage  

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

People are Strange: Current Behavioral Insights into Energy Usage Speaker(s): Susan Mazur-Stommen Date: October 10, 2011 - 12:00pm Location: 90-1099 Seminar HostPoint of Contact:...

Note: This page contains sample records for the topic "usage ventura basin" 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

Energy Usage Information: Lessons from the Credit Reporting Industry...  

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

Energy Usage Information: Lessons from the Credit Reporting Industry. Speaker(s): Philip Henderson Date: October 4, 2012 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact:...

102

Electricity Use in California: Past Trends and Present Usage...  

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

Electricity Use in California: Past Trends and Present Usage Patterns Speaker(s): Rich Brown Date: May 16, 2002 - 12:00pm Location: Bldg. 90 Was explosive growth in electricity...

103

Memory Usage Inference for Object-Oriented Programs  

E-Print Network (OSTI)

We present a type-based approach to statically derive symbolic closed-form formulae that characterize the bounds of heap memory usages of programs written in object-oriented languages. Given a program with size and alias ...

Nguyen, Huu Hai

104

Usage of Appliances in U - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Households Usage of Appliances in 1997. Household PCs by Year. The number of personal computers (PCs) in U.S. households has risen from zero in 1976, when the ...

105

UC Libraries Academic e-Book Usage Survey  

E-Print Network (OSTI)

Usage Study [Q1. Create condition: academic e-book users] 1.Do you use e-books for your academic work? (Select one) a.you generally prefer print books or e-books? (Select one) a.

Li, Chan; Poe, Felicia; Potter, Michele; Quigley, Brian; Wilson, Jacqueline

2011-01-01T23:59:59.000Z

106

RECS Propane Usage Form_v1 (Draft).xps  

Gasoline and Diesel Fuel Update (EIA)

propane usage for this housing unit between September 2008 and April 2010. Delivery Number Enter the Delivery Date for each delivery 1 2 3 4 5 6 7 8 9 10 Enter the Total Dollar...

107

FATIGUEPRO: On-Line Fatigue Usage Transient Monitoring System  

Science Conference Proceedings (OSTI)

FATIGUEPRO accurately monitors plant data to calculate actual fatigue usage for critical nuclear plant components. This system should improve plant reliability and contribute to plant life extension by providing a more realistic estimation of fatigue demands.

1988-05-01T23:59:59.000Z

108

NanoFab User Facility Usage Fee Schedule  

Science Conference Proceedings (OSTI)

Page 1. NanoFab User Facility Usage Fee Schedule Effective 11/1/09 Tool Full Rate ($/hr) Reduced Rate ($/hr) Base NanoFab Use 60 30 ...

109

Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas  

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

Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas Emissions Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas Emissions October 7, 2013 - 11:46am Addthis YOU ARE HERE: Step 2 As Federal agencies work to identify opportunities for right-sizing the fleet and replacing inefficient vehicles with new, efficient, and/or alternatively fueled models to reduce greenhouse gas (GHG) emissions, they should flag potential mission constraints associated with vehicle usage. This may involve further data collection to understand the mission considerations associated with individual vehicles. For instance, in Figure 1, Vehicle 004 appears to be underutilized, having both a low user-to-vehicle ratio and a relatively low time in use per day. However,

110

"Table HC15.13 Lighting Usage Indicators by Four Most Populated...  

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

3 Lighting Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Lighting Usage...

111

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network (OSTI)

characteristics on household residential choice and auto2009. The impact of residential density on vehicle usage and2010-05) The impact of residential density on vehicle usage

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

112

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Understanding total residential transportation energy usageon Vehicle Usage and Energy Consumption total annual fuelUsage and Energy Consumption Gasoline-equivalent gallons per year total

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

113

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Vehicle Usage and Energy Consumption Table 2 Housing Unitsresidential vehicular energy consumption is graphed as aon Vehicle Usage and Energy Consumption with vehicles, but

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

114

River Basin Commissions (Indiana)  

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

This legislation establishes river basin commissions, for the Kankakee, Maumee, St. Joseph, and Upper Wabash Rivers. The commissions facilitate and foster cooperative planning and coordinated...

115

2011 Radioactive Materials Usage Survey for Unmonitored Point Sources  

SciTech Connect

This report provides the results of the 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources (RMUS), which was updated by the Environmental Protection (ENV) Division's Environmental Stewardship (ES) at Los Alamos National Laboratory (LANL). ES classifies LANL emission sources into one of four Tiers, based on the potential effective dose equivalent (PEDE) calculated for each point source. Detailed descriptions of these tiers are provided in Section 3. The usage survey is conducted annually; in odd-numbered years the survey addresses all monitored and unmonitored point sources and in even-numbered years it addresses all Tier III and various selected other sources. This graded approach was designed to ensure that the appropriate emphasis is placed on point sources that have higher potential emissions to the environment. For calendar year (CY) 2011, ES has divided the usage survey into two distinct reports, one covering the monitored point sources (to be completed later this year) and this report covering all unmonitored point sources. This usage survey includes the following release points: (1) all unmonitored sources identified in the 2010 usage survey, (2) any new release points identified through the new project review (NPR) process, and (3) other release points as designated by the Rad-NESHAP Team Leader. Data for all unmonitored point sources at LANL is stored in the survey files at ES. LANL uses this survey data to help demonstrate compliance with Clean Air Act radioactive air emissions regulations (40 CFR 61, Subpart H). The remainder of this introduction provides a brief description of the information contained in each section. Section 2 of this report describes the methods that were employed for gathering usage survey data and for calculating usage, emissions, and dose for these point sources. It also references the appropriate ES procedures for further information. Section 3 describes the RMUS and explains how the survey results are organized. The RMUS Interview Form with the attached RMUS Process Form(s) provides the radioactive materials survey data by technical area (TA) and building number. The survey data for each release point includes information such as: exhaust stack identification number, room number, radioactive material source type (i.e., potential source or future potential source of air emissions), radionuclide, usage (in curies) and usage basis, physical state (gas, liquid, particulate, solid, or custom), release fraction (from Appendix D to 40 CFR 61, Subpart H), and process descriptions. In addition, the interview form also calculates emissions (in curies), lists mrem/Ci factors, calculates PEDEs, and states the location of the critical receptor for that release point. [The critical receptor is the maximum exposed off-site member of the public, specific to each individual facility.] Each of these data fields is described in this section. The Tier classification of release points, which was first introduced with the 1999 usage survey, is also described in detail in this section. Section 4 includes a brief discussion of the dose estimate methodology, and includes a discussion of several release points of particular interest in the CY 2011 usage survey report. It also includes a table of the calculated PEDEs for each release point at its critical receptor. Section 5 describes ES's approach to Quality Assurance (QA) for the usage survey. Satisfactory completion of the survey requires that team members responsible for Rad-NESHAP (National Emissions Standard for Hazardous Air Pollutants) compliance accurately collect and process several types of information, including radioactive materials usage data, process information, and supporting information. They must also perform and document the QA reviews outlined in Section 5.2.6 (Process Verification and Peer Review) of ES-RN, 'Quality Assurance Project Plan for the Rad-NESHAP Compliance Project' to verify that all information is complete and correct.

Sturgeon, Richard W. [Los Alamos National Laboratory

2012-06-27T23:59:59.000Z

116

2011 Radioactive Materials Usage Survey for Unmonitored Point Sources  

SciTech Connect

This report provides the results of the 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources (RMUS), which was updated by the Environmental Protection (ENV) Division's Environmental Stewardship (ES) at Los Alamos National Laboratory (LANL). ES classifies LANL emission sources into one of four Tiers, based on the potential effective dose equivalent (PEDE) calculated for each point source. Detailed descriptions of these tiers are provided in Section 3. The usage survey is conducted annually; in odd-numbered years the survey addresses all monitored and unmonitored point sources and in even-numbered years it addresses all Tier III and various selected other sources. This graded approach was designed to ensure that the appropriate emphasis is placed on point sources that have higher potential emissions to the environment. For calendar year (CY) 2011, ES has divided the usage survey into two distinct reports, one covering the monitored point sources (to be completed later this year) and this report covering all unmonitored point sources. This usage survey includes the following release points: (1) all unmonitored sources identified in the 2010 usage survey, (2) any new release points identified through the new project review (NPR) process, and (3) other release points as designated by the Rad-NESHAP Team Leader. Data for all unmonitored point sources at LANL is stored in the survey files at ES. LANL uses this survey data to help demonstrate compliance with Clean Air Act radioactive air emissions regulations (40 CFR 61, Subpart H). The remainder of this introduction provides a brief description of the information contained in each section. Section 2 of this report describes the methods that were employed for gathering usage survey data and for calculating usage, emissions, and dose for these point sources. It also references the appropriate ES procedures for further information. Section 3 describes the RMUS and explains how the survey results are organized. The RMUS Interview Form with the attached RMUS Process Form(s) provides the radioactive materials survey data by technical area (TA) and building number. The survey data for each release point includes information such as: exhaust stack identification number, room number, radioactive material source type (i.e., potential source or future potential source of air emissions), radionuclide, usage (in curies) and usage basis, physical state (gas, liquid, particulate, solid, or custom), release fraction (from Appendix D to 40 CFR 61, Subpart H), and process descriptions. In addition, the interview form also calculates emissions (in curies), lists mrem/Ci factors, calculates PEDEs, and states the location of the critical receptor for that release point. [The critical receptor is the maximum exposed off-site member of the public, specific to each individual facility.] Each of these data fields is described in this section. The Tier classification of release points, which was first introduced with the 1999 usage survey, is also described in detail in this section. Section 4 includes a brief discussion of the dose estimate methodology, and includes a discussion of several release points of particular interest in the CY 2011 usage survey report. It also includes a table of the calculated PEDEs for each release point at its critical receptor. Section 5 describes ES's approach to Quality Assurance (QA) for the usage survey. Satisfactory completion of the survey requires that team members responsible for Rad-NESHAP (National Emissions Standard for Hazardous Air Pollutants) compliance accurately collect and process several types of information, including radioactive materials usage data, process information, and supporting information. They must also perform and document the QA reviews outlined in Section 5.2.6 (Process Verification and Peer Review) of ES-RN, 'Quality Assurance Project Plan for the Rad-NESHAP Compliance Project' to verify that all information is complete and correct.

Sturgeon, Richard W. [Los Alamos National Laboratory

2012-06-27T23:59:59.000Z

117

Associating Internet usage with depressive behavior among college students  

E-Print Network (OSTI)

Abstract Depression is a mental health problem affecting a large population of college students. Since college students are active users of the Internet today, investigating associations between symptoms of depression and Internet usage has been an active area of research. While existing studies do provide critical insights, they are limited due to the fact that Internet usage of subjects is characterized by means of self-reported surveys only. In this paper, we report our findings on a month long experiment conducted at Missouri University of Science and Technology on associating depressive symptoms among college students and Internet usage using real Internet data collected continuously, unobtrusively and preserving privacy. In our study, 216 undergraduates were surveyed for depressive symptoms using the CES-D scale. We then collected their on-campus Internet usage via Cisco NetFlow records. Subsequent analysis revealed that several Internet usage features like average packets per flow, peer-to-peer (octets, packets and duration), chat octets, mail (packets and duration), ftp duration, and remote file octets exhibit a statistically significant correlation with depressive symptoms. Additionally, Mann-Whitney U-tests revealed that average packets per flow, remote file octets, chat (octets, packets and duration) and flow duration entropy demonstrate statistically significant differences in the mean values across groups with and without depressive symptoms. To the best of our knowledge, this is the first study that associates depressive symptoms among college students with continuously collected real Internet data.

Raghavendra Kotikalapudi; Frances Montgomery; Donald Wunsch

2012-01-01T23:59:59.000Z

118

MESUR: USAGE-BASED METRICS OF SCHOLARLY IMPACT  

SciTech Connect

The evaluation of scholarly communication items is now largely a matter of expert opinion or metrics derived from citation data. Both approaches can fail to take into account the myriad of factors that shape scholarly impact. Usage data has emerged as a promising complement to existing methods o fassessment but the formal groundwork to reliably and validly apply usage-based metrics of schlolarly impact is lacking. The Andrew W. Mellon Foundation funded MESUR project constitutes a systematic effort to define, validate and cross-validate a range of usage-based metrics of schlolarly impact by creating a semantic model of the scholarly communication process. The constructed model will serve as the basis of a creating a large-scale semantic network that seamlessly relates citation, bibliographic and usage data from a variety of sources. A subsequent program that uses the established semantic network as a reference data set will determine the characteristics and semantics of a variety of usage-based metrics of schlolarly impact. This paper outlines the architecture and methodology adopted by the MESUR project and its future direction.

BOLLEN, JOHAN [Los Alamos National Laboratory; RODRIGUEZ, MARKO A. [Los Alamos National Laboratory; VAN DE SOMPEL, HERBERT [Los Alamos National Laboratory

2007-01-30T23:59:59.000Z

119

The use of web structure and content to identify subjectively interesting web usage patterns  

Science Conference Proceedings (OSTI)

The discipline of Web Usage Mining has grown rapidly in the past few years, despite the crash of the e-commerce boom of the late 1990s. Web Usage Mining is the application of data mining techniques to Web clickstream data in order to extract usage patterns. ... Keywords: Data mining, Web usage mining, World Wide Web

Robert Cooley

2003-05-01T23:59:59.000Z

120

A practical ontology for the large-scale modeling of scholarly artifacts and their usage  

Science Conference Proceedings (OSTI)

The large-scale analysis of scholarly artifact usage is constrained primarily by current practices in usage data archiving, privacy issues concerned with the dissemination of usage data, and the lack of a practical ontology for modeling the usage domain. ... Keywords: resource description framework and schema, semantic networks, web ontology language

Marko A. Rodriguez; Johan Bollen; Herbert Van de Sompel

2007-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

Potentials and limits of secondary spectrum usage by CDMA base stations  

Science Conference Proceedings (OSTI)

With the progress of transmission technology and fast growing demand for ubiquitous high speed wireless services, it is clear that the pressure towards more flexibility in usage of limited spectrum will increase. With concept of spectrum sharing, in ... Keywords: primary exclusive region (PER), secondary spectrum usage, secondary usage allowable region (SAR), secondary usage prohibitive region (SPR)

Eun-Hee Shin; Dongwoo Kim

2009-01-01T23:59:59.000Z

122

Ethanol Usage in Urban Public Transportation - Presentation of Results |  

Open Energy Info (EERE)

Ethanol Usage in Urban Public Transportation - Presentation of Results Ethanol Usage in Urban Public Transportation - Presentation of Results Jump to: navigation, search Tool Summary Name: Ethanol Usage in Urban Public Transportation - Presentation of Results Agency/Company /Organization: BioEthanol for Sustainable Transport Focus Area: Fuels & Efficiency Topics: Best Practices Website: cenbio.iee.usp.br/download/publicacoes/SAE_BEST_2010.pdf This paper presents the BioEthanol for Sustainable Transport (BEST) project in Brazil, its partners, and the results from the demonstration tests performed in field, as well as the proposals of public policies that were elaborated and are being implemented. The BEST project was implemented in Sao Paulo as well as eight other cities located in Europe and Asia. How to Use This Tool

123

Form EIA-457E (2001) -- Household Bottled Gas Usage  

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

F (2001) -- Household Natural Gas Usage Form F (2001) -- Household Natural Gas Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Natural Gas Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

124

Definition: Reduced Oil Usage (Not Monetized) | Open Energy Information  

Open Energy Info (EERE)

Usage (Not Monetized) Usage (Not Monetized) Jump to: navigation, search Dictionary.png Reduced Oil Usage (Not Monetized) The functions that provide this benefit eliminate the need to send a line worker or crew to the switch or capacitor locations to operate them eliminate the need for truck rolls to perform diagnosis of equipment condition, and reduce truck rolls for meter reading and measurement purposes. This reduces the fuel consumed by a service vehicle or line truck. The use of plug-in electric vehicles can also lead to this benefit since the electrical energy used by plug-in electric vehicles displaces the equivalent amount of oil.[1] References ↑ SmartGrid.gov 'Description of Benefits' An LikeLike UnlikeLike You like this.Sign Up to see what your friends like. inline Glossary Definition

125

APS Guideline for Hand Tool and Portable Power Tool Usage  

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

Hand Tool and Portable Power Tool Usage Hand Tool and Portable Power Tool Usage Introduction CAT/XSD recognizes that the misuse and improper maintenance of hand tools and portable power tools cause a significant number of injuries to even "experienced" workers. Consequently, CAT/XSD has adopted the following policies and procedures to minimize the hazards associated with the use of such equipment at the APS. These guidelines apply to all use of hand tools and portable power tools by CAT/XSD personnel while performing maintenance or installation activities at the APS. Although CAT/XSD feels that most of the guidelines also apply to tool usage during experimental activities, CAT/XSD will not require that short-term users complete the training described below. Using Tools Safely If you have not had formal training in the use of common tools, either view

126

Mining Software Usage with the Automatic Library Tracking Database (ALTD)  

Science Conference Proceedings (OSTI)

Tracking software usage is important for HPC centers, computer vendors, code developers and funding agencies to provide more efficient and targeted software support, and to forecast needs and guide HPC software effort towards the Exascale era. However, accurately tracking software usage on HPC systems has been a challenging task. In this paper, we present a tool called Automatic Library Tracking Database (ALTD) that has been developed and put in production on several Cray systems. The ALTD infrastructure prototype automatically and transparently stores information about libraries linked into an application at compilation time and also the executables launched in a batch job. We will illustrate the usage of libraries, compilers and third party software applications on a system managed by the National Institute for Computational Sciences.

Hadri, Bilel [ORNL; Fahey, Mark R [ORNL

2013-01-01T23:59:59.000Z

127

Form EIA-457E (2001) -- Household Bottled Gas Usage  

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

E (2001) - Household Electricity Usage Form E (2001) - Household Electricity Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Electricity Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

128

Water Usage Law, Major Water Users (Missouri) | Department of Energy  

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

Water Usage Law, Major Water Users (Missouri) Water Usage Law, Major Water Users (Missouri) Water Usage Law, Major Water Users (Missouri) < Back Eligibility Agricultural Commercial Construction Fed. Government Industrial Institutional Investor-Owned Utility Local Government Municipal/Public Utility Retail Supplier Rural Electric Cooperative Systems Integrator Tribal Government Utility Savings Category Water Buying & Making Electricity Program Info State Missouri Program Type Environmental Regulations Provider Missouri Department of Natural Resources Any water user with the capability to withdraw or divert 100,000 gallons or more per day from any stream, river, lake, well, spring or other water source must register and file for a permit for water withdrawal and diversion from the Department of Natural Resources. Additionally, no major

129

The Oquirrh basin revisited  

SciTech Connect

The upper Paleozoic succession in the Oquirrh basin in unusually thick, up to 9300 m, and consists mainly of a Pennsylvanian-middle Permian miogeocline of northwestern Utah. Previous workers have suggested a tectonic origin for the Oquirrh basin that is incompatible with the basin location in both time and space. There is no evidence for Pennsylvanian and Lower Permian tectonism in the middle of the miogeocline. Thermal evidence from the Mississippian Mission Canyon shale does no support the implied deep burial of the crustal sag models of basin formation. Stratigraphic and facies evidence indicates a growth fault origin for the basin. Regional isopach maps and facies maps are powerful tools in interpreting depositional environments and in reconstructing fold-and-thrust belts. However, the location of measured sections relative to the location of the growth fault basin. The Charleston-Nebo thrust may have essentially reversed the movement on a growth fault. Thick Oquirrh basin sedimentary rocks may not be required to balance structural sections across this thrust fault. A thin-skinned, extensional growth fault origin for the Oquirrh basin implies that the Cordilleran miogeocline did not participate in the Pennsylvanian north-vergent uplifts of the Ancestral Rocky Mountains.

Erskine, M.C.

1997-04-01T23:59:59.000Z

130

K-Basins.pub  

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

2 2 AUDIT REPORT U.S. DEPARTMENT OF ENERGY OFFICE OF INSPECTOR GENERAL OFFICE OF AUDIT SERVICES COMPLETION OF K BASINS MILESTONES APRIL 2002 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman (Signed) Inspector General SUBJECT: INFORMATION: Audit Report on "Completion of K Basins Milestones" BACKGROUND The Department of Energy (Department) has been storing 2,100 metric tons of spent nuclear fuel at the Hanford Site in southeastern Washington. The fuel, used in support of Hanford's former mission, is currently stored in canisters that are kept in two enclosed water-filled pools known as the K Basins. The K Basins represent a significant risk to the environment due to their deteriorating condition. In fact, the K East Basin, which is near the Columbia River, has

131

K Basin safety analysis  

DOE Green Energy (OSTI)

The purpose of this accident safety analysis is to document in detail, analyses whose results were reported in summary form in the K Basins Safety Analysis Report WHC-SD-SNF-SAR-001. The safety analysis addressed the potential for release of radioactive and non-radioactive hazardous material located in the K Basins and their supporting facilities. The safety analysis covers the hazards associated with normal K Basin fuel storage and handling operations, fuel encapsulation, sludge encapsulation, and canister clean-up and disposal. After a review of the Criticality Safety Evaluation of the K Basin activities, the following postulated events were evaluated: Crane failure and casks dropped into loadout pit; Design basis earthquake; Hypothetical loss of basin water accident analysis; Combustion of uranium fuel following dryout; Crane failure and cask dropped onto floor of transfer area; Spent ion exchange shipment for burial; Hydrogen deflagration in ion exchange modules and filters; Release of Chlorine; Power availability and reliability; and Ashfall.

Porten, D.R.; Crowe, R.D.

1994-12-16T23:59:59.000Z

132

Traffic characterization and internet usage in rural Africa  

Science Conference Proceedings (OSTI)

While Internet connectivity has reached a significant part of the world's population, those living in rural areas of the developing world are still largely disconnected. Recent efforts have provided Internet connectivity to a growing number of remote ... Keywords: internet usage, interviews, rural networks

David L. Johnson; Veljko Pejovic; Elizabeth M. Belding; Gertjan van Stam

2011-03-01T23:59:59.000Z

133

Editorial Style Guide: Word List and General Usage  

Science Conference Proceedings (OSTI)

The EPRI "Editorial Style Guide," together with the Company's "Graphic Standards Guide," provides information for building a strong corporate identity in EPRI publications. Providing lists of frequently used terms, EPRI software, and chemical elements, plus examples of word usage, the style guide can help authors both develop text efficiently and economically and brand EPRI as an integrated, global science and technology company.

1998-08-17T23:59:59.000Z

134

Security Implications of Typical Grid Computing Usage Scenarios  

Science Conference Proceedings (OSTI)

Grid Computing consists of a collection of heterogeneous computers and resources spread across multiple administrative domains with the intent of providing users uniform access to these resources. There are many ways to access the resources of a Grid, ... Keywords: Global Grid Forum, Globus, Grid Computing, Legion, computer security, usage scenarios

Marty Humphrey; Mary R. Thompson

2002-07-01T23:59:59.000Z

135

Resource usage analysis for a functional language with exceptions  

Science Conference Proceedings (OSTI)

Igarashi and Kobayashi have proposed a general type system for checking whether resources such as files and memory are accessed in a valid manner. Their type system is, however, for call-by-value ?-calculus with resource primitives, and does not ... Keywords: effect system, exception, resource usage analysis, type inference, type system

Futoshi Iwama; Atsushi Igarashi; Naoki Kobayashi

2006-01-01T23:59:59.000Z

136

Forecasting multi-appliance usage for smart home energy management  

Science Conference Proceedings (OSTI)

We address the problem of forecasting the usage of multiple electrical appliances by domestic users, with the aim of providing suggestions about the best time to run appliances in order to reduce carbon emissions and save money (assuming time-of-use ...

Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn

2013-08-01T23:59:59.000Z

137

Identifying and Testing the Inhibitors of Technology Usage Intentions  

Science Conference Proceedings (OSTI)

An important area of information systems (IS) research has been the identification of the individual-level beliefs that enable technology acceptance such as the usefulness, reliability, and flexibility of a system. This study posits the existence of ... Keywords: inhibitors, nonacceptance, technology rejection, usage intentions

Ronald T. Cenfetelli; Andrew Schwarz

2011-12-01T23:59:59.000Z

138

Exploiting Service Usage Information for Optimizing Server Resource Management  

Science Conference Proceedings (OSTI)

It is often difficult to tune the performance of modern component-based Internet services because: (1) component middleware are complex software systems that expose several independently tuned server resource management mechanisms; (2) session-oriented ... Keywords: Internet application, client behavior, component middleware, optimization, quality-of-service, server resource management, service usage information

Alexander Totok; Vijay Karamcheti

2011-07-01T23:59:59.000Z

139

Fuel bundle design for enhanced usage of plutonium fuel  

DOE Patents (OSTI)

A nuclear fuel bundle includes a square array of fuel rods each having a concentration of enriched uranium and plutonium. Each rod of an interior array of the rods also has a concentration of gadolinium. The interior array of rods is surrounded by an exterior array of rods void of gadolinium. By this design, usage of plutonium in the nuclear reactor is enhanced.

Reese, Anthony P. (San Jose, CA); Stachowski, Russell E. (Fremont, CA)

1995-01-01T23:59:59.000Z

140

Designation of facility usage categories for Hanford Site facilities  

SciTech Connect

This report summarizes the Hanford Site methodology used to ensure facility compliance with the natural phenomena design criteria set forth in the US Department of Energy Orders and guidance. The current Hanford Site methodology for Usage Category designation is based on an engineered feature's safety function and on the feature's assigned Safety Class. At the Hanford Site, Safety Class assignments are deterministic in nature and are based on teh consequences of failure, without regard to the likelihood of occurrence. The report also proposes a risk-based approach to Usage Category designation, which is being considered for future application at the Hanford Site. To establish a proper Usage Category designation, the safety analysis and engineering design processes must be coupled. This union produces a common understanding of the safety function(s) to be accomplished by the design feature(s) and a sound basis for the assignment of Usage Categories to the appropriate systems, structures, and components. 4 refs., 9 figs., 1 tab.

Woodrich, D.D.; Ellingson, D.R.; Scott, M.A.; Schade, A.R.

1991-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

Determine Vehicle Usage and Refueling Trends to Minimize Greenhouse Gas  

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

Vehicle Usage and Refueling Trends to Minimize Greenhouse Vehicle Usage and Refueling Trends to Minimize Greenhouse Gas Emissions Determine Vehicle Usage and Refueling Trends to Minimize Greenhouse Gas Emissions October 7, 2013 - 11:42am Addthis YOU ARE HERE Step 2 Once a Federal agency has identified its most important mobile greenhouse gas (GHG) emission sources overall, it can work with individual sites to determine vehicle usage and refueling trends. Agencies can compare the results of this analysis to internal standards and requirements to identify GHG mitigation opportunities for assets that are underperforming or underutilized. Two examples of this type of analysis focus on: Alternative fuel consumption Vehicle utilization. Figure 1 - An image of a vertical, stacked bar chart titled 'Alternative Fuel Use in AFVs.' The frequency data axis is labeled 'Gallons of Gasoline Equivalent' with a scale of 0-1,400,000 in increments of 200,000. The stacked bar labeled 'CNG Dual Fuel Vehicles' shows CNG from 0-300,000 gallons and Gasoline from 300,000-800,000 gallons. The stacked bar labeled 'E-85 Flex Fuel Vehicles' shows E85 from 0-1,000,000 gallons and Gasoline from 1,000,000-1,250,000 gallons.

142

K Basin Hazard Analysis  

Science Conference Proceedings (OSTI)

This report describes the methodology used in conducting the K Basins Hazard Analysis, which provides the foundation for the K Basins Final Safety Analysis Report. This hazard analysis was performed in accordance with guidance provided by DOE-STD-3009-94, Preparation Guide for U. S. Department of Energy Nonreactor Nuclear Facility Safety Analysis Reports and implements the requirements of DOE Order 5480.23, Nuclear Safety Analysis Report.

PECH, S.H.

2000-08-23T23:59:59.000Z

143

"Table HC10.13 Lighting Usage Indicators by U.S. Census Region...  

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

3 Lighting Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Lighting Usage Indicators",,"Northeast","Mi...

144

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Kenworthy (1989a). Gasoline consumption and cities. Journalon Vehicle Usage and Energy Consumption References Bento,Vehicle Usage and Energy Consumption UCI-ITS-WP-05-1 Thomas

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

145

Towards sustainable material usage : time-dependent evaluation of upgrading technologies for recycling  

E-Print Network (OSTI)

As consumption in the US grows, so does concern about sustainable materials usage. Increasing recycling is a key component within a broad arsenal of strategies for moving towards sustainable materials usage. There are many ...

Gaustad, Gabrielle G

2009-01-01T23:59:59.000Z

146

Residential hot water usage: A review of published metered studies. Topical report, August-December 1994  

SciTech Connect

The report presents a review of residential hot water usage studies. The studies included were published and publicly available, they measured actual hot water usage or energy usage, and they had sufficient demographic information to determine the number of people per household. The available hot water usage data were normalized to a 135 F setpoint temperature to eliminate the variations in usage caused by different water heater thermostat settings. Typical hot water usage as a function of family size was determined from linear regression analyses of the normalized metered studies` data points. A national average hot water usage of 53 gallons per day was determined from the regression analyses and census data on average household size. The review of metered studies also shows that there is no discernible difference in hot water usage for households with either electric or gas water heaters.

Paul, D.D.; Ide, B.E.; Hartford, P.A.

1994-12-01T23:59:59.000Z

147

Audit Report on "Credit Card Usage at the Ohio Field Office and...  

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

Report on "Credit Card Usage at the Ohio Field Office and the Fernald and Miamisburg Environmental Management Projects," ER-B-99-04 Audit Report on "Credit Card Usage at the Ohio...

148

Fuel bundle design for enhanced usage of plutonium fuel  

DOE Patents (OSTI)

A nuclear fuel bundle includes a square array of fuel rods each having a concentration of enriched uranium and plutonium. Each rod of an interior array of the rods also has a concentration of gadolinium. The interior array of rods is surrounded by an exterior array of rods void of gadolinium. By this design, usage of plutonium in the nuclear reactor is enhanced. 10 figs.

Reese, A.P.; Stachowski, R.E.

1995-08-08T23:59:59.000Z

149

Red Storm usage model :Version 1.12.  

Science Conference Proceedings (OSTI)

Red Storm is an Advanced Simulation and Computing (ASC) funded massively parallel supercomputer located at Sandia National Laboratories (SNL). The Red Storm Usage Model (RSUM) documents the capabilities and the environment provided for the FY05 Tri-Lab Level II Limited Availability Red Storm User Environment Milestone and the FY05 SNL Level II Limited Availability Red Storm Platform Milestone. This document describes specific capabilities, tools, and procedures to support both local and remote users. The model is focused on the needs of the ASC user working in the secure computing environments at Los Alamos National Laboratory (LANL), Lawrence Livermore National Laboratory (LLNL), and SNL. Additionally, the Red Storm Usage Model maps the provided capabilities to the Tri-Lab ASC Computing Environment (ACE) requirements. The ACE requirements reflect the high performance computing requirements for the ASC community and have been updated in FY05 to reflect the community's needs. For each section of the RSUM, Appendix I maps the ACE requirements to the Limited Availability User Environment capabilities and includes a description of ACE requirements met and those requirements that are not met in that particular section. The Red Storm Usage Model, along with the ACE mappings, has been issued and vetted throughout the Tri-Lab community.

Jefferson, Karen L.; Sturtevant, Judith E.

2005-12-01T23:59:59.000Z

150

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network (OSTI)

console usage and national energy consumption: Results fromNational Energy Consumption .Discussion National Energy Consumption Under the assumption

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

151

Leveraging usage similarity for effective retrieval of examples in code repositories  

Science Conference Proceedings (OSTI)

Developers often learn to use APIs (Application Programming Interfaces) by looking at existing examples of API usage. Code repositories contain many instances of such usage of APIs. However, conventional information retrieval techniques fail to perform ... Keywords: api usage, code search, software information retrieval, ssi, structural semantic indexing

Sushil K. Bajracharya; Joel Ossher; Cristina V. Lopes

2010-11-01T23:59:59.000Z

152

An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet  

Science Conference Proceedings (OSTI)

We quantify how user mobile Internet usage relates to unique characteristics of the mobile Internet. In particular, we focus on examining how the mobile-phone-based content generation behavior of users relates to content usage behavior. The key objective ... Keywords: content generation, content usage, geographical mobility, identification, interdependence, mobile Internet, social networks

Anindya Ghose; Sang Pil Han

2011-09-01T23:59:59.000Z

153

Polytechnic Institute of New York University GRAPHIC STANDARDS AND LOGO USAGE GUIDE  

E-Print Network (OSTI)

, some machines' memory usage are always relatively lightly-loaded (the green lines shown in the figure, and also investigate valuable statistics of machine's maximum load, queue state and relative usage levels describe dynamic metrics, such as queue state, and relative usage levels compared to capacities

Aronov, Boris

154

"Same same but different" how service contexts of mobile technologies shape usage motives and barriers  

Science Conference Proceedings (OSTI)

As wireless technologies evolve, mobile technologies and services will increasingly affect our lives, accompanied by positive and negative effects. This development requires a high acceptance of users to the presence of mobile services in various usage ... Keywords: ICT, acceptance, medical technologies, system design, usage barriers, usage motives

Katrin Arning; Sylvia Gaul; Martina Ziefle

2010-11-01T23:59:59.000Z

155

THE NATIONAL BASIN DELINEATION PROJECT  

Science Conference Proceedings (OSTI)

The National Basin Delineation Project (NBDP) was undertaken by the National Severe Storms Laboratory to define flash-flood-scale basin boundaries for the country in support of the National Weather Service (NWS) Flash Flood Monitoring and ...

Ami T. Arthur; Gina M. Cox; Nathan R. Kuhnert; David L. Slayter; Kenneth W. Howard

2005-10-01T23:59:59.000Z

156

A PRACTICAL ONTOLOGY FOR THE LARGE-SCALE MODELING OF SCHOLARLY ARTIFACTS AND THEIR USAGE  

SciTech Connect

The large-scale analysis of scholarly artifact usage is constrained primarily by current practices in usage data archiving, privacy issues concerned with the dissemination of usage data, and the lack of a practical ontology for modeling the usage domain. As a remedy to the third constraint, this article presents a scholarly ontology that was engineered to represent those classes for which large-scale bibliographic and usage data exists, supports usage research, and whose instantiation is scalable to the order of 50 million articles along with their associated artifacts (e.g. authors and journals) and an accompanying 1 billion usage events. The real world instantiation of the presented abstract ontology is a semantic network model of the scholarly community which lends the scholarly process to statistical analysis and computational support. They present the ontology, discuss its instantiation, and provide some example inference rules for calculating various scholarly artifact metrics.

RODRIGUEZ, MARKO A. [Los Alamos National Laboratory; BOLLEN, JOHAN [Los Alamos National Laboratory; VAN DE SOMPEL, HERBERT [Los Alamos National Laboratory

2007-01-30T23:59:59.000Z

157

Use of nanofiltration to reduce cooling tower water usage.  

SciTech Connect

Nanofiltration (NF) can effectively treat cooling-tower water to reduce water consumption and maximize water usage efficiency of thermoelectric power plants. A pilot is being run to verify theoretical calculations. A side stream of water from a 900 gpm cooling tower is being treated by NF with the permeate returning to the cooling tower and the concentrate being discharged. The membrane efficiency is as high as over 50%. Salt rejection ranges from 77-97% with higher rejection for divalent ions. The pilot has demonstrated a reduction of makeup water of almost 20% and a reduction of discharge of over 50%.

Sanchez, Andres L.; Everett, Randy L.; Jensen, Richard Pearson; Cappelle, Malynda A.; Altman, Susan Jeanne

2010-09-01T23:59:59.000Z

158

FPGA curved track fitter with very low resource usage  

SciTech Connect

Standard least-squares curved track fitting process is tailored for FPGA implementation. The coefficients in the fitting matrices are carefully chosen so that only shift and accumulation operations are used in the process. The divisions and full multiplications are eliminated. Comparison in an application example shows that the fitting errors of the low resource usage implementation are less than 4% bigger than the fitting errors of the exact least-squares algorithm. The implementation is suitable for low-cost, low-power applications such as high energy physics detector trigger systems.

Wu, Jin-Yuan; Wang, M.; Gottschalk, E.; Shi, Z.; /Fermilab

2006-11-01T23:59:59.000Z

159

Research and development opportunities for improved transportation energy usage. (REDOTEUS)  

SciTech Connect

The document is a draft of the final report of the Transportation Energy Panel (TEP) prepared for the Office of Science and Technology. The report attempts to assess the relevant technology for improving the usage by the transportation sector of the energy resources of the nation. In pursuit of its study, TEP sponsored several workshops, briefings, and coordination meetings which had personnel from a variety of Federal, academic, and industrial organizations. Emphasis was given both to transportation demands and to relevant technology assessment. (GRA)

1972-07-14T23:59:59.000Z

160

Data Basin | Open Energy Information  

Open Energy Info (EERE)

Data Basin Data Basin Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Data Basin Agency/Company /Organization: Conservation Biology Institute Topics: GHG inventory Resource Type: Dataset, Maps Website: databasin.org/ Data Basin Screenshot References: Data Basin [1] Overview "Data Basin is an innovative, online system that connects users with spatial datasets, tools, and expertise. Individuals and organization can explore and download a vast library of datasets, upload their own data, create and publish projects, form working groups, and produce customized maps that can be easily shared. The building blocks of Data Basin are: Datasets: A dataset is a spatially explicit file, currently Arcshape and ArcGrid files. These can be biological, physical, socioeconomic, (and

Note: This page contains sample records for the topic "usage ventura basin" 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

EA-64 Basin Electric Power Cooperative | Department of Energy  

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

Basin Electric Power Cooperative EA-64 Basin Electric Power Cooperative Order authorizing Basin Electric Power Cooperative to export electric energy to Canada EA-64 Basin Electric...

162

EA-64-A Basin Electric Power Cooperative | Department of Energy  

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

-A Basin Electric Power Cooperative EA-64-A Basin Electric Power Cooperative Order authorizing Basin Electric Power Cooperative to export electric energy to Canada EA-64-A Basin...

163

Woodfuel Usage Update 1 I Wood fuel use in Scotland 2011 I Hudson Consulting I September 2011  

E-Print Network (OSTI)

Recycled fibre Energy crops, forest residues and tree stumps The first reports on wood fuel usage data hadWoodfuel Usage Update 1 I Wood fuel use in Scotland 2011 I Hudson Consulting I September 2011 Woodfuel Demand and Usage in Scotland Report 2011 #12;Woodfuel Usage Update 2 I Wood fuel use in Scotland

164

Usage based indicators to assess the impact of scholarly works: architecture and method  

DOE Patents (OSTI)

Although recording of usage data is common in scholarly information services, its exploitation for the creation of value-added services remains limited due to concerns regarding, among others, user privacy, data validity, and the lack of accepted standards for the representation, sharing and aggregation of usage data. A technical, standards-based architecture for sharing usage information is presented. In this architecture, OpenURL-compliant linking servers aggregate usage information of a specific user community as it navigates the distributed information environment that it has access to. This usage information is made OAI-PMH harvestable so that usage information exposed by many linking servers can be aggregated to facilitate the creation of value-added services with a reach beyond that of a single community or a single information service.

Bollen, Johan (Santa Fe, NM); Van De Sompel, Herbert (Santa Fe, NM)

2012-03-13T23:59:59.000Z

165

A ranking and exploration service based on large-scale usage data  

SciTech Connect

This poster presents the architecture and user interface of a prototype service that was designed to allow end-users to explore the s tructure of science and perform assessments of scholarly impact on the basis of large-scale usage data. The underlying usage data set was constructed by the NIESUR project which collected 1 billion usage events from a wide range of publishers, aggregators and institutional consortia.

Bollen, Johan [Los Alamos National Laboratory; Van De Sompel, Herbert L [Los Alamos National Laboratory; Balakireva, Lyudmila L [Los Alamos National Laboratory; Chute, Ryan M [Los Alamos National Laboratory

2008-01-01T23:59:59.000Z

166

Department of Energy Federal Acquisition Regulation Clause Usage Guide  

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

Type of Contract: FP SUP Fixed-Price Supply CR SUP Cost-Reimbursement Supply FP SVC Fixed-Price Service CR SVC Cost Reimbursement Service FP CON Fixed-Price Construction CR CON Cost Reimbursement Construction T&M LH Time & Material, Labor Hours FP A-E Fixed Price Architect-Engineer CR A-E Cost Reimbursement Architect-Engineer Comm. Items Commercial Items M&O Management & Operating Other Fac. Mgmt. Other Facility Management SAP Simplified Acquisition Procedures Clause Usage R Required A Required When Applicable NA Not Applicable Provision or Clause (Click on clause number to see its text and prescription FP Sup. CR Sup. FP Serv. Cost Serv. FP Cons. Cost Cons. T&M. L.H. FP A- E Cost A-E Com. Items. M&O Other

167

Trends in Building Energy Usage in Texas State Agencies  

E-Print Network (OSTI)

In late 1983, a cost containment program was initiated out of the governor's office directed at the major state agencies. The Energy Management Group at Texas A&M University provided technical expertise in obtaining agency energy usage and cost figures for the fiscal years 1981 to 1983. While there is considerable diversity from agency to agency, the trend is toward dramatically higher energy cost per square foot for virtually all agencies. This alarming trend can be partially explained by rising unit costs for gas and electricity and a lack of incentives for conservation efforts due to the method of utility budget allocations. A building standard signed into law in 1976 could have reduced energy consumption, but was never enforced. Beginning in fiscal year 1986, universities will be allowed to comingle utility money with capital operating money so that conservation can really pay off for them.

Murphy, W. E.; Turner, W. D.; O'Neal, D. L.; Seshan, S.

1985-01-01T23:59:59.000Z

168

Commercial Building HVAC Energy Usage in Semi-Tropical Climates  

E-Print Network (OSTI)

The design of heating and cooling equipment in semi-tropical climates presents some design considerations and limitations not so prevalent in temperate climates. In some cases, the heating season may be non-existent for all practical purposes. Another consideration is the high ventilation loads due to cooling the moist air prevalent in semi-tropical climates. This paper describes a computer program which assesses all the pertinent variables which comprise the annual heating and cooling energy requirements for commercial buildings. It is then suggested that this computer program would be valuable in determining the changes one could expect in annual energy usage by varying certain building design parameters. Secondly, a small office building actually constructed in Central Florida in which the author designed the Heating and Cooling HVAC system is described. Tradeoffs are presented showing the effects of changes in these building design parameters.

Worbs, H. E.

1987-01-01T23:59:59.000Z

169

Comparison of Bandwidth Usage: Service Location Protocol and Jini  

E-Print Network (OSTI)

Recently there has been an increase in the development of technologies for resource discovery, since for example, resources such as printers, mail boxes, memory space, and disk space are available in every network, ready to be used for any host. This has been caused, in part, by the growth in the popularity of portable devices such as laptops, PDAs, and cell phones which require configuration each time they attach to a new network segment. Since the configuration of such devices is tedious and sometimes complicated, there have been some attempts in past years to solve this problem, such as the DHCP approach. This paper focuses on the bandwidth analysis of two new approaches for dealing with resource discovery: the Service Location Protocol (SLP) and Jini. This work is particularly important since the communication among the devices is often wireless, whereas bandwidth is a limited resource. We present equations for characterizing the usage of bandwidth made by SLP and Jini, bas...

Javier Govea; Michel Barbeau

2000-01-01T23:59:59.000Z

170

Security Implications of Typical Grid Computing Usage Scenarios  

SciTech Connect

A Computational Grid is a collection of heterogeneous computers and resources spread across multiple administrative domains with the intent of providing users uniform access to these resources. There are many ways to access the resources of a Computational Grid, each with unique security requirements and implications for both the resource user and the resource provider. A comprehensive set of Grid usage scenarios are presented and analyzed with regard to security requirements such as authentication, authorization, integrity, and confidentiality. The main value of these scenarios and the associated security discussions are to provide a library of situations against which an application designer can match, thereby facilitating security-aware application use and development from the initial stages of the application design and invocation. A broader goal of these scenarios are to increase the awareness of security issues in Grid Computing.

Humphrey, Marty; Thompson, Mary R.

2001-06-05T23:59:59.000Z

171

"Table HC13.13 Lighting Usage Indicators by South Census Region...  

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

3 Lighting Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total...

172

"Table HC11.13 Lighting Usage Indicators by Northeast Census...  

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

3 Lighting Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division"...

173

"Table HC12.13 Lighting Usage Indicators by Midwest Census Region...  

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

3 Lighting Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total...

174

"Table HC14.13 Lighting Usage Indicators by West Census Region...  

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

3 Lighting Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West"...

175

Table HC6.7 Air-Conditioning Usage Indicators by Number of Household...  

Gasoline and Diesel Fuel Update (EIA)

7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4 15.9...

176

Skin Effect of Hf-Rich Melts and Some Aspects in its Usage for Hf ...  

Science Conference Proceedings (OSTI)

USAGE FOR Hf-CONTAINING. CAST NICKEL- ... of advanced gas turbines. ... were polished by metallo- graphy and then melted by tungsten inert gas(TIG).

177

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network (OSTI)

and energy savings potential of video game consoles in thethe energy efficiency of video game consoles. NaturalVideo game console usage and national energy consumption:

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

178

Availability, usage and expected contribution of potential nursery habitats for the California halibut  

E-Print Network (OSTI)

of a damsel?sh re?ect availability of suitable habitat.locate/ecss Availability, usage and expected contribution ofthe spatial coverage (availability) of all potential nursery

Fodrie, Fredrick Joel; Mendoza, Guillermo F.

2006-01-01T23:59:59.000Z

179

Network effects, economic efficiency, and usage-based pricing for internet access.  

E-Print Network (OSTI)

??This paper attempts to shed some light on the issue of net neutrality by examining the extent to which Internet usage is efficiently allocated under (more)

Cooper, Matthew L.

2011-01-01T23:59:59.000Z

180

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

DC. Steiner, R.L. (1994). Residential density and traveland Brownstone The Impact of Residential Density on VehicleUsage Total annual residential vehicular energy consumption

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

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


181

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

Kenworthy (1989a). Gasoline consumption and cities. JournalVehicle Usage and Energy Consumption Table 2 Housing Unitsvehicular energy consumption is graphed as a function of

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

182

Table HC6.12 Home Electronics Usage Indicators by Number of...  

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

2 Home Electronics Usage Indicators by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4...

183

Git usage FiPy 3.0.1-dev157-g518df83 documentation  

Science Conference Proceedings (OSTI)

... Join our mailing list. 100 Bureau Drive, M/S 6555 Gaithersburg, MD 20899 301-975-5329 Telephone 301-975-4553 Facsimile. Git usage. ...

2013-08-30T23:59:59.000Z

184

Table HC2.10 Home Appliances Usage Indicators by Type of Housing ...  

U.S. Energy Information Administration (EIA)

Million U.S. Housing Units Table HC2.10 Home Appliances Usage Indicators by Type of Housing Unit, 2005 Housing Units (millions) Single-Family Units

185

Energy Usage Evaluation and Condition Monitoring for Electric Machines using Wireless Sensor Networks.  

E-Print Network (OSTI)

??Energy usage evaluation and condition monitoring for electric machines are important in industry for overall energy savings. Traditionally these functions are realized only for large (more)

Lu, Bin

2006-01-01T23:59:59.000Z

186

Susquehanna River Basin Compact (Maryland)  

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

This legislation enables the state's entrance into the Susquehanna River Basin Compact, which provides for the conservation, development, and administration of the water resources of the...

187

Abyssal Mixing in the Brazil Basin  

Science Conference Proceedings (OSTI)

One of the major objectives of the Deep Basin Experiment, a component of the World Ocean Circulation Experiment, was to quantify the intensity and spatial distribution of deep vertical mixing within the Brazil Basin. In this study, basin-averaged ...

Michele Y. Morris; Melinda M. Hall; Louis C. St. Laurent; Nelson G. Hogg

2001-11-01T23:59:59.000Z

188

Synonymous Codon Usage in Escherichia coli: Selection for Translational Nina Stoletzki* and Adam Eyre-Walker  

E-Print Network (OSTI)

usage. Genetics. 129:897­907. Bu¨rger R, Willensdorfer M, Nowak MA. 2006. Why are pheno- typic mutationSynonymous Codon Usage in Escherichia coli: Selection for Translational Accuracy Nina Stoletzki that produce non- or misfunctional proteins are costly to the cell because they consume amino acids and energy

Eyre-Walker, Adam

189

Using historical accounting information to predict the resource usage of grid jobs  

Science Conference Proceedings (OSTI)

Basing job scheduling decisions on estimated queue wait times may help in efficiently balancing the workload on the grid. Previous work on usage prediction has mainly described methods for the estimation of queue wait times on clusters and supercomputers, ... Keywords: Grid accounting, Resource usage prediction, Workload analysis

Rosario M. Piro; Andrea Guarise; Giuseppe Patania; Albert Werbrouck

2009-05-01T23:59:59.000Z

190

Summarizing observational client-side data to reveal web usage patterns  

Science Conference Proceedings (OSTI)

Client-side event logs may reveal patterns of usage of Web pages. Nevertheless, extracting useful and novel information from this voluminous data set is a challenge for evaluation tools, since a few minutes simple task may result in a sequence of hundreds ... Keywords: client-side event logs, usage patterns, websites evaluation tool

Vagner Figuerdo de Santana; M. Ceclia C. Baranauskas

2010-03-01T23:59:59.000Z

191

Towards purpose enforcement model for privacy-aware usage control policy in distributed healthcare  

Science Conference Proceedings (OSTI)

Enforcing the purpose of data usage means to ensure that data are used as it intends for and that excessive usage cannot happen. In general, the enforcement of purpose is a complicated task. The main difficulty is to identify the purpose of an agent ...

Annanda Thavymony Rath; Jean-Nol Colin

2013-08-01T23:59:59.000Z

192

Reducing Energy Usage of NULL Convention Logic Circuits using NULL Cycle Reduction  

E-Print Network (OSTI)

in approximately 25% overall lower energy usage. Keywords: asynchronous circuits; NULL Convention Logic (NCL); NULLReducing Energy Usage of NULL Convention Logic Circuits using NULL Cycle Reduction Combined with Supply Voltage Scaling Brett Sparkman and Scott C. Smith Department of Electrical Engineering, University

Smith, Scott C.

193

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

194

RESERVES IN WESTERN BASINS PART IV: WIND RIVER BASIN  

SciTech Connect

Vast quantities of natural gas are entrapped within various tight formations in the Rocky Mountain area. This report seeks to quantify what proportion of that resource can be considered recoverable under today's technological and economic conditions and discusses factors controlling recovery. The ultimate goal of this project is to encourage development of tight gas reserves by industry through reducing the technical and economic risks of locating, drilling and completing commercial tight gas wells. This report is the fourth in a series and focuses on the Wind River Basin located in west central Wyoming. The first three reports presented analyses of the tight gas reserves and resources in the Greater Green River Basin (Scotia, 1993), Piceance Basin (Scotia, 1995) and the Uinta Basin (Scotia, 1995). Since each report is a stand-alone document, duplication of language will exist where common aspects are discussed. This study, and the previous three, describe basin-centered gas deposits (Masters, 1979) which contain vast quantities of natural gas entrapped in low permeability (tight), overpressured sandstones occupying a central basin location. Such deposits are generally continuous and are not conventionally trapped by a structural or stratigraphic seal. Rather, the tight character of the reservoirs prevents rapid migration of the gas, and where rates of gas generation exceed rates of escape, an overpressured basin-centered gas deposit results (Spencer, 1987). Since the temperature is a primary controlling factor for the onset and rate of gas generation, these deposits exist in the deeper, central parts of a basin where temperatures generally exceed 200 F and drill depths exceed 8,000 feet. The abbreviation OPT (overpressured tight) is used when referring to sandstone reservoirs that comprise the basin-centered gas deposit. Because the gas resources trapped in this setting are so large, they represent an important source of future gas supply, prompting studies to understand and quantify the resource itself and to develop technologies that will permit commercial exploitation. This study is a contribution to that process.

Robert Caldwell

1998-04-01T23:59:59.000Z

195

K-Basins design guidelines  

Science Conference Proceedings (OSTI)

The purpose of the design guidelines is to enable SNF and K Basin personnel to complete fuel and sludge removal, and basin water mitigation by providing engineering guidance for equipment design for the fuel basin, facility modifications (upgrades), remote tools, and new processes. It is not intended to be a purchase order reference for vendors. The document identifies materials, methods, and components that work at K Basins; it also Provides design input and a technical review process to facilitate project interfaces with operations in K Basins. This document is intended to compliment other engineering documentation used at K Basins and throughout the Spent Nuclear Fuel Project. Significant provisions, which are incorporated, include portions of the following: General Design Criteria (DOE 1989), Standard Engineering Practices (WHC-CM-6-1), Engineering Practices Guidelines (WHC 1994b), Hanford Plant Standards (DOE-RL 1989), Safety Analysis Manual (WHC-CM-4-46), and Radiological Design Guide (WHC 1994f). Documents (requirements) essential to the engineering design projects at K Basins are referenced in the guidelines.

Roe, N.R.; Mills, W.C.

1995-06-01T23:59:59.000Z

196

KE Basin Sludge Flocculant Testing  

SciTech Connect

In the revised path forward and schedule for the K Basins Sludge Retrieval and Disposal Project, the sludge in K East (KE) Basin will be moved from the floor and pits and transferred to large, free-standing containers located in the pits (so as to isolate the sludge from the basin). When the sludge is pumped into the containers, it must settle fast enough and clarify sufficiently that the overflow water returned to the basin pool will not cloud the water or significantly increase the radiological dose rate to the operations staff as a result of increased suspended radioactive material. The approach being evaluated to enhance sludge settling and speed the rate of clarification is to add a flocculant to the sludge while it is being transferred to the containers. In February 2004, seven commercial flocculants were tested with a specific K Basin sludge simulant to identify those agents that demonstrated good performance over a broad range of slurry solids concentrations. From this testing, a cationic polymer flocculant, Nalco Optimer 7194 Plus (7194+), was shown to exhibit superior performance. Related prior testing with K Basin sludge and simulant in 1994/1996 had also identified this agent as promising. In March 2004, four series of jar tests were conducted with 7194+ and actual KE Basin sludge (prepared by combining selected archived KE sludge samples). The results from these jar tests show that 7194+ greatly improves settling of the sludge slurries and clarification of the supernatant.

Schmidt, Andrew J.; Hallen, Richard T.; Muzatko, Danielle S.; Gano, Sue

2004-06-23T23:59:59.000Z

197

DEVELOPMENT OF A WIRELINE CPT SYSTEM FOR MULTIPLE TOOL USAGE  

SciTech Connect

The first phase of development of a wireline cone penetrometer system for multiple tool usage was completed under DOE award number DE-AR26-98FT40366. Cone penetrometer technology (CPT) has received widespread interest and is becoming more commonplace as a tool for environmental site characterization activities at several Department of Energy (DOE) facilities. Although CPT already offers many benefits for site characterization, the wireline system can improve CPT technology by offering greater utility and increased cost savings. Currently the use of multiple CPT tools during a site characterization (i.e. piezometric cone, chemical sensors, core sampler, grouting tool) must be accomplished by withdrawing the entire penetrometer rod string to change tools. This results in multiple penetrations being required to collect the data and samples that may be required during characterization of a site, and to subsequently seal the resulting holes with grout. The wireline CPT system allows multiple CPT tools to be interchanged during a single penetration, without withdrawing the CPT rod string from the ground. The goal of the project is to develop and demonstrate a system by which various tools can be placed at the tip of the rod string depending on the type of information or sample desired. Under the base contract, an interchangeable piezocone and grouting tool was designed, fabricated, and evaluated. The results of the evaluation indicate that success criteria for the base contract were achieved. In addition, the wireline piezocone tool was validated against ASTM standard cones, the depth capability of the system was found to compare favorably with that of conventional CPT, and the reliability and survivability of the system were demonstrated.

Stephen P. Farrington; Martin L. Gildea; J. Christopher Bianchi

1999-08-01T23:59:59.000Z

198

Multiple Oscillatory Modes of the Argentine Basin. Part II: The Spectral Origin of Basin Modes  

Science Conference Proceedings (OSTI)

In this paper the spectrum of barotropic basin modes of the Argentine Basin is shown to be connected to the classical Rossby basin modes of a flat-bottom (constant depth), rectangular basin. First, the spectrum of basin modes is calculated for ...

Wilbert Weijer; Frdric Vivier; Sarah T. Gille; Henk A. Dijkstra

2007-12-01T23:59:59.000Z

199

Energy consumption and usage characteristics from field measurements of residential dishwashers, clothes washers and clothes dryers  

SciTech Connect

The measured energy consumption and usage characteristics for household dishwashers, clothes washers, and clothes dryers for ten townhouses at Twin Rivers, N.J., are presented. Whenever the dishwashers and/or clothes washers were in use, the energy consumption, water consumption, frequency of usage, and water temperature were measured by a data acquisition system. The electrical energy of electric clothes dryers and the gas consumption of gas clothes dryers were measured, as well as their frequency and duration of use, and exhaust temperature. Typical household usage patterns of these major appliances are included.

Chang, Y.L.; Grot, R.A.

1980-10-01T23:59:59.000Z

200

Survey and update of F-14a mission profiles for TF30 engine usage. Final report  

SciTech Connect

The mission profiles and maintenance procedures relating to the TF30-P-412 engines have been investigated to find out whether an observed reduction in engine usage was due to different aircraft missions or new flight procedures. A survey of fleet squadron personnel revealed mission profiles are essentially the same; however, fewer air combat engagements and landing practices account for the lower usage. The F-14 role is now more evenly distributed between air combat and intercepts, while the total number of these missions remains constant. A future advanced technology engine in this aircraft is likely to encounter higher usage requirements if there are no throttle cycle restrictions.

Cote, S.M.

1982-04-30T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

Woodfuel Usage Update 1 I Wood fuel use in Scotland 2010 I Hudson Consulting I October 2010  

E-Print Network (OSTI)

woodfuel usage in the commercial, industrial and electrical energy sectors of the Scottish market) to 30 of electrical energy generation, was paramount in the initial survey and remains so. Total woodfuel usageWoodfuel Usage Update 1 I Wood fuel use in Scotland 2010 I Hudson Consulting I October 2010

202

Rivanna River Basin Commission (Virginia)  

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

The Rivanna River Basin Commission is an independent local entity tasked with providing guidance for the stewardship and enhancement of the water quality and natural resources of the Rivanna River...

203

Colorado River Basin Hydroclimatic Variability  

Science Conference Proceedings (OSTI)

An analysis of annual hydroclimatic variability in the Upper Colorado River basin (UCRB) for the period of 19062006 was performed to understand the dominant modes of multidecadal variability. First, wavelet-based spectral analysis was employed ...

Kenneth Nowak; Martin Hoerling; Balaji Rajagopalan; Edith Zagona

2012-06-01T23:59:59.000Z

204

GRR/Section 19-CO-h - Denver Basin and Designated Basin Permitting Process  

Open Energy Info (EERE)

9-CO-h - Denver Basin and Designated Basin Permitting Process 9-CO-h - Denver Basin and Designated Basin Permitting Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 19-CO-h - Denver Basin and Designated Basin Permitting Process 19COHDenverBasinAndDesignatedBasinPermittingProcess.pdf Click to View Fullscreen Contact Agencies Colorado Ground Water Commission Colorado Division of Water Resources Regulations & Policies CRS 37-90-107 Application for Use of Ground Water 2 CCR 410-1 Rules and Regulations for the Management and Control of Designated Ground Water Triggers None specified Click "Edit With Form" above to add content 19COHDenverBasinAndDesignatedBasinPermittingProcess.pdf 19COHDenverBasinAndDesignatedBasinPermittingProcess.pdf

205

RECS Fuel Oil Usage Form_v1 (Draft).xps  

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

fuel oil usage for this delivery address between September 2008 and April 2010. Delivery Number Enter the Delivery Date for each delivery 1 2 3 4 5 6 7 8 9 10 Enter the Total...

206

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

DC. Steiner, R.L. (1994). Residential density and traveland Brownstone The Impact of Residential Density on VehicleWP-05-1 The Impact of Residential Density on Vehicle Usage

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

207

DND: a model for forecasting electrical energy usage by water-resource subregion  

SciTech Connect

A forecast methodology was derived from principles of econometrics using exogenous variables, i.e., cost of electricity, consumer income, and price elasticity as indicators of growth for each consuming sector: residential, commercial, and industrial. The model was calibrated using forecast data submitted to the Department of Energy (DOE) by the nine Regional Electric Reliability Councils. Estimates on electrical energy usage by specific water-resource subregion were obtained by normalizing forecasted total electrical energy usage by state into per capita usage. The usage factor and data on forecasted population were applied for each water resource subregion. The results derived using the model are self-consistent and in good agreement with DOE Energy Information Administration projections. The differences that exist are largely the result of assumptions regarding specific aggregations and assignment of regional-system reliability and load factors. 8 references, 2 figures, 13 tables.

Sonnichsen, J.C. Jr.

1980-02-01T23:59:59.000Z

208

"Table HC11.5 Space Heating Usage Indicators by Northeast Census...  

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

"No",54.7,9.8,6.7,3 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,8.2,5.9,2.3 "Adequately Insulated",46.3,8.1,6.1,2 "Poorly...

209

arXiv.org help - 2010 Institutional arXiv Usage Data  

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

Institutional arXiv Usage Data The following table is a compilation of arXiv downloads for calendar year 2010 for the 200 heaviest user institutions. See also arXiv Support....

210

arXiv.org help - 2012 Institutional arXiv Usage Data  

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

Institutional arXiv Usage Data The following table is a compilation of arXiv downloads for calendar year 2012 for the 200 heaviest user institutions. See also arXiv Support....

211

arXiv.org help - 2009 Institutional arXiv Usage Data  

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

Institutional arXiv Usage Data The following table is a compilation of arXiv downloads for calendar year 2009 for the 200 heaviest user institutions. See also arXiv Support....

212

arXiv.org help - 2011 Institutional arXiv Usage Data  

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

Institutional arXiv Usage Data The following table is a compilation of arXiv downloads for calendar year 2011 for the 200 heaviest user institutions. See also arXiv Support....

213

Table HC5.10 Home Appliances Usage Indicators by Year of ...  

U.S. Energy Information Administration (EIA)

Million U.S. Housing Units 1950 to 1959 1960 to 1969 1970 to 1979 Table HC5.10 Home Appliances Usage Indicators by Year of Construction, 2005 Year of Construction

214

Horses and Barn Doors: Evolution of Corporate Guidelines for Internet Usage  

Science Conference Proceedings (OSTI)

Intel's Internet usage policy evolved from paractically non-existant to explicitly defined - all in reaction to changing conditions and security threats. This paper covers the evolution of Intel Internet access policy, a continual struggle to close the ...

Sally Hambridge; Jeffrey C. Sedayao

1993-11-01T23:59:59.000Z

215

PP-64 Basin Electric Power Cooperative | Department of Energy  

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

4 Basin Electric Power Cooperative PP-64 Basin Electric Power Cooperative Presidential Permit Authorizing Basin Electric Power Cooperative to construct, operate, and maintain...

216

Annual fuel usage charts for oil-fired boilers. [Building space heating and hot water supplies  

SciTech Connect

On the basis of laboratory-determined boiler efficiency data, one may calculate the annual fuel usage (AFU) for any oil-fired boiler, serving a structure of a given design heat load, for any specified hourly weather pattern. Further, where data are available regarding the energy recapture rates of the strucutre due to direct gain solar energy (windows), lighting, cooking, electrical appliances, metabolic processes, etc., the annual fuel usage savings due to such (re) capture are straightforwardly determinable. Employing the Brookhaven National Laboratory annual fuel usage formulation, along with efficiency data determined in the BNL Boiler Laboratory, computer-drawn annual fuel usage charts can be generated for any selected boiler for a wide range of operating conditions. For two selected boilers operating in any one of the hour-by-hour weather patterns which characterize each of six cities over a wide range of firing rates, domestic hot water consumption rates, design heat loads, and energy (re) capture rates, annual fuel usages are determined and graphically presented. Figures 1 to 98, inclusive, relate to installations for which energy recapture rates are taken to be zero. Figures 97 to 130, inclusive, apply to a range of cases for which energy recapture rates are nonzero and determinable. In all cases, simple, direct and reliable annual fuel usage values can be determined by use of charts and methods such as those illustrated.

Berlad, A.L.; Yeh, Y.J.; Salzano, F.J.; Hoppe, R.J.; Batey, J.

1978-07-01T23:59:59.000Z

217

PSADEFS.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

Definitions Definitions of Petroleum Products and Other Terms Alcohol. The family name of a group of organic chemical compounds composed of carbon, hydrogen, and oxygen. The series of molecules vary in chain length and are composed of a hydrocarbon plus a hydroxyl group; CH 3 - (CH 2 )n-OH (e.g., methanol, ethanol, and tertiary butyl alcohol). Alkylate. The product of an alkylation reaction. It usu- ally refers to the high octane product from alkylation units. This alkylate is used in blending high octane gaso- line. Alkylation. A refining process for chemically combining isobutane with olefin hydrocarbons (e.g., propylene, buty- lene) through the control of temperature and pressure in the presence of an acid catalyst, usually sulfuric acid or hydrofluoric acid. The product, alkylate, an isoparaffin, has high octane value and is blended with motor and aviation gasoline to improve the antiknock

218

PSADEFS.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

are lease condensate and liquid hydrocarbons produced from tar sands, gilsonite, and oil shale. Drip gases are also included, but topped crude oil (residual oil) and other...

219

Great Basin | Open Energy Information  

Open Energy Info (EERE)

Great Basin Great Basin Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Great Basin Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","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":39.609920257001,"lon":-114.0380859375,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

220

Thermally Driven Circulations in Small Oceanic Basins  

Science Conference Proceedings (OSTI)

A linear, steady model of the circulation of a small (f plane) oceanic basin driven by heating or cooling at the surface is considered in order to examine the partition of upwelling (heating) or downwelling (cooling) between the basin's interior ...

Joseph Pedlosky

2003-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

Coos Bay Field Gulf Coast Coal Region Williston Basin Illinois  

Gasoline and Diesel Fuel Update (EIA)

San Juan Basin C e n t r a l A p p a l a c h i a n B a s i n Michigan Basin Greater Green River Basin Black Warrior Basin North Central Coal Region Arkoma Basin Denver Basin...

222

RECS Fuel Oil Usage Form_v1 (Draft).xps  

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

fuel oil usage for this delivery address between fuel oil usage for this delivery address between September 2008 and April 2010. Delivery Number Enter the Delivery Date for each delivery 1 2 3 4 5 6 7 8 9 10 Enter the Total Dollar Amount including taxes [Exclude late fees, merchandise, repairs, and service charges] 11 12 13 14 15 16 17 18 19 20 Form EIA 457G OMB No. 1905-0092 Expires 1/31/13 2009 RECS Fuel Oil and Kerosene Usage Form Delivery Address: Account Number: $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / Enter the Amount Delivered in Gallons XXXX Type of Fuel Sold was: 1=Fuel Oil #1 2=Fuel Oil #2 3=Kerosene 4=Other Enter the Price per Gallon $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ XXX.XX $ X.XX (select one) 1 2 3 4 MM/DD/YY Page 1 of 2 U.S. Energy Information Administration Independent Statistics & Analysis

223

"Table HC11.13 Lighting Usage Indicators by Northeast Census Region, 2005"  

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

3 Lighting Usage Indicators by Northeast Census Region, 2005" 3 Lighting Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Lighting Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,16.8,12.2,4.6 "1.",28.6,5,3.5,1.5 "2.",29.5,6.2,4.8,1.4 "3.",14.7,2.5,1.7,0.8 "4.",9.3,1.5,1.1,0.4 "5 or More",9.7,1.6,1.1,0.5 "Energy-Efficient Bulbs Used",31.1,5.2,3.6,1.6

224

"Table HC13.13 Lighting Usage Indicators by South Census Region, 2005"  

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

3 Lighting Usage Indicators by South Census Region, 2005" 3 Lighting Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Lighting Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,33.8,17.5,6.1,10.3 "1.",28.6,11.2,6.5,1.5,3.2 "2.",29.5,10.5,5.4,2,3.1 "3.",14.7,5,2.1,1.2,1.7 "4.",9.3,3.4,1.5,0.8,1.2 "5 or More",9.7,3.7,1.9,0.6,1.2

225

"Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005"  

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

0 Home Appliances Usage Indicators by Household Income, 2005" 0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Usage Indicators" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,2.9,2.5,1.3,0.5,1,2.4,4.6 "2 Times A Day",24.6,6.5,7,4.3,3.2,3.6,4.8,10.3 "Once a Day",42.3,8.8,9.8,8.7,5.1,10,5,12.9

226

"Table HC7.5 Space Heating Usage Indicators by Household Income, 2005"  

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

5 Space Heating Usage Indicators by Household Income, 2005" 5 Space Heating Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Usage Indicators" "Total U.S. Housing Units",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Do Not Have Heating Equipment",1.2,0.5,0.3,0.2,"Q",0.2,0.3,0.6 "Have Space Heating Equipment",109.8,26.2,28.5,20.4,13,21.8,16.3,37.9 "Use Space Heating Equipment",109.1,25.9,28.1,20.3,12.9,21.8,16,37.3

227

Groff (GNU ditroff) usage on Sun and SGI machines at the Lab  

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

Groff (GNU ditroff) usage on Sun and SGI machines at the Lab Groff (GNU ditroff) usage on Sun and SGI machines at the Lab groff is the front end for the groff document formatting system. (GNU ditroff). groff's default device is ps (PostScript). (You may need to use "module load groff" to make groff available.) Sample usage Write groff output to a PostScript file me macros: groff -set -me myfile.me > myfile.ps ms macros: groff -set -mgs myfile.ms > myfile.ps Note well: "-mgs" uses the groff version of the MS ("gs") macros. Send groff output to a PostScript printer me macros: groff -set -me myfile.me | lpr -P someprinter ms macros: groff -set -mgs myfile.ms | lpr -P someprinter "someprinter" is some PostScript printer on distributed printing. Some common flags (from "man groff")

228

Heavy-duty truck population, activity and usage patterns. Final report  

SciTech Connect

The objective of the study was to update the heavy-duty truck (HDT) population, activity (e.g., vehicle miles traveled (VMT), numbers of starts and trips, trip duration, etc.), and usage patterns type of service/business (e.g., delivery, construction, etc.), area of operation (i.e., local, short-haul, long-haul) for HDT`s registered and/or operated in California. The population and activity estimates were done on a weight-class-specific basis light-heavy-duty, medium-heavy-duty and heavy-heavy-duty. Population, activity and usage estimates were based primarily on Department of Motor Vehicles (DMV) registration data and Truck Inventory and Usage Survey (TIUS) data. In addition to the analysis of existing data (i.e., DMV and TIUS), 42 HDTs were fitted with on-board data loggers that recorded numbers of trips and starts, daily VMT and travel by time-of-day.

Fischer, M.

1998-07-01T23:59:59.000Z

229

Understanding Motivations for Facebook Use: Usage Metrics, Network Structure, and Privacy  

E-Print Network (OSTI)

This study explores the links between motives for using a social network service and numerical measures of that activity. Specifically, it identified motives for Facebook use by employing a Uses and Gratifications (U&G) approach and then investigated the extent to which these motives can be predicted through usage and network metrics collected automatically via the Facebook API. In total, 11 Facebook usage metrics and eight personal network metrics served as predictors. Results showed that all three variable types in this expanded U&G frame of analysis (covering social antecedents, usage metrics, and personal network metrics) effectively predicted motives and highlighted interesting behaviors. To further illustrate the power of this framework, the intricate nature of privacy in social media was explored and relationships drawn between privacy attitudes (and acts) and measures of use and network structure. Author Keywords Uses and gratifications; social network sites; social networks; Facebook; privacy; computer-mediated communication.

Tasos Spiliotopoulos; Ian Oakley

2013-01-01T23:59:59.000Z

230

"Table HC9.12 Home Electronics Usage Indicators by Climate Zone, 2005"  

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

2 Home Electronics Usage Indicators by Climate Zone, 2005" 2 Home Electronics Usage Indicators by Climate Zone, 2005" " Million U.S. Housing Units" ,,"Climate Zone1" ,,"Less than 2,000 CDD and --",,,,"2,000 CDD or More and Less than 4,000 HDD" ,"Housing Units (millions)" ,,"Greater than 7,000 HDD","5,500 to 7,000 HDD","4,000 to 5,499 HDD","Less than 4,000 HDD" "Home Electronics Usage Indicators" "Total",111.1,10.9,26.1,27.3,24,22.8 "Personal Computers" "Do Not Use a Personal Computer",35.5,3.2,8.3,8.9,7.7,7.5 "Use a Personal Computer",75.6,7.8,17.8,18.4,16.3,15.3 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,6.2,14.3,14.2,12.1,11.9

231

"Table HC14.13 Lighting Usage Indicators by West Census Region, 2005"  

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

3 Lighting Usage Indicators by West Census Region, 2005" 3 Lighting Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Lighting Usage Indicators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,19.5,6.1,13.4 "1.",28.6,6.1,1.7,4.4 "2.",29.5,6.3,1.8,4.5 "3.",14.7,3.1,1.1,2 "4.",9.3,1.9,0.6,1.3 "5 or More",9.7,2,0.8,1.2 "Energy-Efficient Bulbs Used",31.1,8.6,2.3,6.3 "1.",14.6,3.6,1,2.6

232

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," ",,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel Firing",,," ",," " " "," ",,,,,,,,,,,,,,,,,"RSE" "NAICS"," ",,,,,,,,,,,,,,,,,"Row"

233

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" 1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," "," ",,,"Computer","Control of","Processes"," "," "," ",,,," ",," " " "," ","Computer Control","of Building-Wide","Environment(b)","or Major","Energy-Using","Equipment(c)","Waste","Heat","Recovery","Adjustable -","Speed","Motors","RSE"

234

High-Intensity Discharge Industrial Lighting Design Strategies for the Minimization of Energy Usage and Life-Cycle Cost.  

E-Print Network (OSTI)

??Worldwide, the electrical energy consumed by artificial lighting is second only to the amount consumed by electric machinery. Of the energy usage attributed to lighting (more)

Flory IV, Isaac L.

2008-01-01T23:59:59.000Z

235

Top 100 U.S. Oil & Gas Fields By 2009 Proved Reserves  

U.S. Energy Information Administration (EIA)

ventura basin los angeles basin central coastal basin w y t h r u s t 7 b e l t u i n t ae -f p i c e a n c e b a s i n grea er gr en rive basin paradox basin raton ...

236

File:Willamette River Basin MOU 102210.pdf | Open Energy Information  

Open Energy Info (EERE)

Willamette River Basin MOU 102210.pdf Willamette River Basin MOU 102210.pdf Jump to: navigation, search File File history File usage File:Willamette River Basin MOU 102210.pdf Size of this preview: 464 × 599 pixels. Other resolution: 465 × 600 pixels. Go to page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 Go! next page → next page → Full resolution ‎(1,278 × 1,650 pixels, file size: 3.79 MB, MIME type: application/pdf, 72 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 16:44, 13 November 2012 Thumbnail for version as of 16:44, 13 November 2012 1,278 × 1,650, 72 pages (3.79 MB) Dklein2012 (Talk | contribs)

237

Multimedia-based mobile phone consciousness and usage amongst the undergraduate students in Malaysia  

Science Conference Proceedings (OSTI)

The idea of presenting undergraduates' awareness, usage and other various issues regarding mobile phone multimedia application will be the paper's main agenda and talking point. The first section of this paper will give a succinct introduction to today's ... Keywords: consciousness, mobile phone, multimedia application, undergraduates, youth

Amirrudin Kamsin; Md Nor Ridzuan Daud

2005-02-01T23:59:59.000Z

238

Impact of Liquefied Natural Gas usage and payload size on Hybrid Wing Body aircraft fuel efficiency  

E-Print Network (OSTI)

This work assessed Hybrid Wing Body (HWB) aircraft in the context of Liquefied Natural Gas (LNG) fuel usage and payload/range scalability at three scales: H1 (B737), H2 (B787) and H3 (B777). The aircraft were optimized for ...

Mody, Pritesh (Pritesh Chetan)

2010-01-01T23:59:59.000Z

239

Recommending energy tariffs and load shifting based on smart household usage profiling  

Science Conference Proceedings (OSTI)

We present a system and study of personalized energy-related recommendation. AgentSwitch utilizes electricity usage data collected from users' households over a period of time to realize a range of smart energy-related recommendations on energy tariffs, ... Keywords: demand response, energy tariffs, load shifting, personalization, recommender systems, smart grid

Joel E. Fischer; Sarvapali D. Ramchurn; Michael Osborne; Oliver Parson; Trung Dong Huynh; Muddasser Alam; Nadia Pantidi; Stuart Moran; Khaled Bachour; Steve Reece; Enrico Costanza; Tom Rodden; Nicholas R. Jennings

2013-03-01T23:59:59.000Z

240

Cell phone usage and broad feature preferences: A study among Finnish undergraduate students  

Science Conference Proceedings (OSTI)

The purpose of this study is to investigate the cell phone use and broad cell phone feature preferences among high school and undergraduate in Finland. Of particular interest is the issue of gender differences regarding the use of the cell phones and ... Keywords: Cell phone usage, Conceptualization, Feature preferences

Matti Haverila

2013-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

RadioJockey: Mining Program Execution to Optimize Cellular Radio Usage Pavan K. Athivarapu1  

E-Print Network (OSTI)

dormancy is typically invoked with a fixed short inactivity timer (e.g., 3-5s), thereby reducing the energy. BACKGROUND AND MOTIVATION 2.1 Energy and Signaling Overhead During normal usage, a cellular radio switches costs. This has a major implication on the energy consumed by background applications that typically

242

Modeling Long-Term Search Engine Usage Ryen W. White, Ashish Kapoor, and Susan T. Dumais  

E-Print Network (OSTI)

photosensor design accurately senses daylight availability, cutting electric light usage 40­60 percent or morePhotosensors and associated control systems can dim or raise fluorescent lighting systems to decrease or increase the electrical lighting used as the amount of daylight changes during the day. However

Dumais, Susan

243

Instructions for CEC-1250E-4 Biomass and Fossil Fuel Usage Report for Biomass Facilities  

E-Print Network (OSTI)

Instructions for CEC-1250E-4 Biomass and Fossil Fuel Usage Report for Biomass Facilities Biomass energy input basis in the upcoming calendar year? - Please check "yes" or "no." 12. Types of Biomass Fuel Used - Please report the quantity and supplier of the following types of biomass fuel used

244

Identifying software usage at HPC centers with the automatic library tracking database  

Science Conference Proceedings (OSTI)

A library tracking database has been developed to monitor software/library usage. This Automatic Library Tracking Database (ALTD) automatically and transparently stores, into a database, information about the libraries linked into an application at compilation ... Keywords: Cray XT, database, library, most/least used software, tracking

Bilel Hadri; Mark Fahey; Nick Jones

2010-08-01T23:59:59.000Z

245

ON THE USAGE OF ANTENNAS IN MIMO AND MISO INTERFERENCE CHANNELS Mariam Kaynia  

E-Print Network (OSTI)

ON THE USAGE OF ANTENNAS IN MIMO AND MISO INTERFERENCE CHANNELS Mariam Kaynia , Andrea J. Goldsmith. of Science and Technology Dept. of Electrical Engineering, Stanford University, Stanford Mobile and small), we derive upper and lower bounds to both our per- formance metrics. Moreover, the particular

Gesbert, David

246

"Table HC8.5 Space Heating Usage Indicators by Urban/Rural Location...  

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

",54.7,24.9,8.6,11.5,9.7 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,16,7.1,9.4,10.3 "Adequately Insulated",46.3,20.3,8,9.5,8.5...

247

"Table HC13.5 Space Heating Usage Indicators by South Census...  

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

No",54.7,20.9,11.3,3.6,6 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,16.1,9.1,2.5,4.5 "Adequately Insulated",46.3,17,9.1,3.2,4.7...

248

"Table HC3.5 Space Heating Usage Indicators by Owner-Occupied...  

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

6.7,29.4,2.3,0.9,1.3,2.8 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,32.8,27.8,1.5,1,0.9,1.6 "Adequately Insulated",46.3,33,26.8,2...

249

"Table HC15.5 Space Heating Usage Indicators by Four Most Populated...  

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

No",54.7,3.2,3.3,3.8,5.7 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,3.1,2.7,3,3.5 "Adequately Insulated",46.3,2.7,3.1,3.1,5.2...

250

"Table HC10.5 Space Heating Usage Indicators by U.S. Census...  

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

,54.7,9.8,12.9,20.9,11.2 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,8.2,10.6,16.1,7.9 "Adequately Insulated",46.3,8.1,10.6,17,10....

251

"Table HC4.5 Space Heating Usage Indicators by Renter-Occupied...  

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

17.9,3.6,1.9,3.2,8.6,0.6 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,10,2,0.8,1.8,5.1,0.2 "Adequately Insulated",46.3,13.3,3,1.5,2...

252

"Table HC12.5 Space Heating Usage Indicators by Midwest Census...  

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

"No",54.7,12.9,9.1,3.7 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,10.6,7.2,3.4 "Adequately Insulated",46.3,10.6,7.5,3.1 "Poorly...

253

"Table HC14.5 Space Heating Usage Indicators by West Census...  

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

"No",54.7,11.2,3.4,7.8 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,7.9,2.8,5.1 "Adequately Insulated",46.3,10.6,3.3,7.3 "Poorly...

254

"Table HC7.5 Space Heating Usage Indicators by Household Income...  

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

5,11.2,6.7,13.2,5.8,14.5 "Housing Unit Characteristics Affecting Usage" "Adequacy of Insulation" "Well Insulated",42.8,9,11,8.2,5.1,9.5,4.8,13.1 "Adequately Insulated",46.3,10.4,11...

255

Engineers and the Web: An analysis of real life gaps in information usage  

Science Conference Proceedings (OSTI)

Engineers face a wide range of gaps when trying to identify, acquire, and utilize information from the Web. To be able to avoid creating such gaps, it is essential to understand them in detail. This paper reports the results of a study of the real life ... Keywords: Critical incident technique, Engineers, Gaps, Information usage processes

Jeroen Kraaijenbrink

2007-09-01T23:59:59.000Z

256

WebKDD 2005: web mining and web usage analysis post-workshop report  

Science Conference Proceedings (OSTI)

In this report, we summarize the contents and outcomes of the recent WebKDD 2005 workshop on Web Mining and Web Usage Analysis that was held in conjunction with the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ... Keywords: clickstream analysis, mining evolving web data, personalization, profiling, recommender systems, web mining

Olfa Nasraoui; Osmar R. Zaane; Myra Spiliopoulou; Bamshad Mobasher; Brij Masand; Philip S. YU

2005-12-01T23:59:59.000Z

257

UDP: Usage-based Dynamic Pricing with Privacy Preservation for Smart Grid  

E-Print Network (OSTI)

UDP: Usage-based Dynamic Pricing with Privacy Preservation for Smart Grid Xiaohui Liang, Student for smart grid in a community environment, which enables the electricity price to correspond-preserving manner. Index Terms--Smart grid; dynamic price; privacy preserva- tion; community-specific I

Shen, Xuemin "Sherman"

258

Geochemistry of Delaware Basin groundwaters  

DOE Green Energy (OSTI)

Fluids from various formations were sampled and analyzed in order to characterize groundwaters in the Delaware Basin. Waters were analyzed for solute content and/or stable isotope ratios (D/H and /sup 18/O//sup 16/O). Three lines of geochemical arguments are summarized, in order to present the natures and probable origins of analyzed fluids: solute chemistry, thermodynamic modelling of low-temperature aqueous species, and stable isotope ratios. (JGB)

Lambert, S.J.

1977-04-25T23:59:59.000Z

259

Determinants of residential electrical appliance usage in the Tri-State Region, 1960-1970: a regression study. Working paper  

SciTech Connect

The possible impact of areawide residential location policy on future residential electricity usage in the Tri-State Metropolitan Region centering on New York City is investigated. This study was undertaken to assess residential electricity usage, particularly electrical appliance use, in the residential sector of the New York Metropolitan area from 1960 to 1970. The attempts to choose and quantify the contribution of various determinants of electrical appliance usage using multiple regression analyses has been relatively successful. In addition, these results were compared with 1960 and 1970 data in an effort to establish a degree of consistency over time. The implications of the findings here point toward two complementary institutions for change: urban planning and public administration. The relationship between single family structures and high energy usage argue strongly for more dense communities, while price elasticities can be used by regulators to control electrical usage.

Stone, B.

1974-05-01T23:59:59.000Z

260

Electric household equipment and electric fuel usage in the Tri-State Region and the United States: 1960-70. Working paper  

SciTech Connect

The possible impact of areawide residential location policy on future residential electricity usage in the Tri-State Metropolitan Region centering on New York City is investigated. This report is concerned with selected residential electric appliance usage in the Tri-State Region as compared with usage of these appliances across the United States between 1960 and 1970. Included are tabular representations of comparisons between residential air conditioner usage in the Tri-State Region and the United States. Tabular comparisons also are made with respect to residential appliance usage and electric fuel usage.

Hillman, B.

1973-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

A Numerical Study of the Thermally Driven Plain-to-Basin Wind over Idealized Basin Topographies  

Science Conference Proceedings (OSTI)

Numerical experiments have been carried out with a two-dimensional nonhydrostatic mesoscale model to investigate the diurnal temperature range in a basin and the thermally driven plain-to-basin winds. Under clear-sky conditions, the diurnal ...

Stephan F. J. de Wekker; Shiyuan Zhong; Jerome D. Fast; C. David Whiteman

1998-06-01T23:59:59.000Z

262

The Black Shale Basin of West Texas.  

E-Print Network (OSTI)

??The Black Shale Basin of West Texas covers an area in excess of 21,000 square miles and includes the region from Terrell and Pecos Counties (more)

Cole, Charles Taylor, 1913-

2012-01-01T23:59:59.000Z

263

Illinois coal production pushes Illinois Basin production ...  

U.S. Energy Information Administration (EIA)

Coal production in the Illinois Basin during the first half of 2012 (64.4 million short tons) was 13% higher than the same period in 2011. This ...

264

California - San Joaquin Basin Onshore Nonassociated Natural...  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) California - San Joaquin Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation,...

265

,"California - San Joaquin Basin Onshore Nonassociated Natural...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation,...

266

,"California - Los Angeles Basin Onshore Nonassociated Natural...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California - Los Angeles Basin Onshore Nonassociated Natural Gas, Wet After Lease Separation,...

267

Wetland loss dynamics in southwestern Barataria basin ...  

U.S. Energy Information Administration (EIA)

ABSTRACT We determined spatial associations of wetland loss rates in a 950-km2 study area in the southwestern Barataria basin of Louisiana's ...

268

Basin evolution, diagenesis and uranium mineralization in the PaleoproterozicThelon Basin,  

E-Print Network (OSTI)

Basin evolution, diagenesis and uranium mineralization in the PaleoproterozicThelon Basin, Nunavut18 O values near 0% (Vienna Standard Mean OceanWater). Uranium-rich apatite cement (P1) also formed during diagenetic stage1indicating that oxygenated, uranium- bearing pore water was present in the basin

Hiatt, Eric E.

269

Nitroglycerine Usage  

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

trinitroglycerin, as other related drugs are used for relief of chest pain in coronary heart disease, the so called angina pectoris. The effect is done by relaxing the coronary...

270

K Basins Field Verification Program  

SciTech Connect

The Field Verification Program establishes a uniform and systematic process to ensure that technical information depicted on selected engineering drawings accurately reflects the actual existing physical configuration. This document defines the Field Verification Program necessary to perform the field walkdown and inspection process that identifies the physical configuration of the systems required to support the mission objectives of K Basins. This program is intended to provide an accurate accounting of the actual field configuration by documenting the as-found information on a controlled drawing.

Booth, H.W.

1994-12-02T23:59:59.000Z

271

Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005  

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

0 Home Appliances Usage Indicators by Four Most Populated States, 2005 0 Home Appliances Usage Indicators by Four Most Populated States, 2005 Total.................................................................................... 111.1 7.1 7.0 8.0 12.1 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 0.6 0.5 0.8 1.4 2 Times A Day.............................................................. 24.6 1.4 1.5 2.0 3.1 Once a Day................................................................... 42.3 2.4 3.0 2.7 4.1 A Few Times Each Week.............................................. 27.2 2.1 1.7 1.7 2.5 About Once a Week...................................................... 3.9 0.3 Q 0.4 0.6 Less Than Once a Week............................................... 4.1 Q Q 0.3 0.4 No Hot Meals Cooked...................................................

272

PowerScope: A Tool for Profiling the Energy Usage of Mobile Applications  

E-Print Network (OSTI)

In this paper, we describe the design and implementation of PowerScope, a tool for profiling energy usage by applications. PowerScope maps energy consumption to program structure, in much the same way that CPU profilers map processor cycles to specific processes and procedures. Our approach combines hardware instrumentation to measure current level with kernel software support to perform statistical sampling of system activity. Postprocessing software maps the sample data to program structure and produces a profile of energy usage by process and procedure. Using PowerScope, we have been able to reduce the energy consumption of an adaptive video playing application by 46%. 1. Introduction Energy is a critical resource for mobile computers [5, 8]. In spite of many improvements in low-power hardware design and battery life, there is now growing awareness that a strategically viable approach to energy management must include higher levels of the system [2]. For example, a network applica...

Jason Flinn; M. Satyanarayanan

1999-01-01T23:59:59.000Z

273

Identifying Software Usage at HPC Centers with the Automatic Library Tracking Database  

SciTech Connect

A library tracking database has been developed to monitor software/library usage. This Automatic Library Tracking Database (ALTD) automatically and transparently stores, into a database, information about the libraries linked into an application at compilation time and also the executables launched in a batch job. Information gathered into the database can then be mined to provide reports. Analyzing the results from the data collected will help to identify, for example, the most frequently used and the least used libraries and codes, and those users that are using deprecated libraries or applications. We will illustrate the usage of libraries and executables on the Cray XT platforms hosted at the National Institute for Computational Sciences and the Oak Ridge Leadership Computing Facility (both located at Oak Ridge National Laboratory).

Hadri, Bilel [ORNL; Fahey, Mark R [ORNL; Jones, Nicholas A [ORNL

2010-01-01T23:59:59.000Z

274

Space heating systems in the Northwest: energy usage and cost analysis  

DOE Green Energy (OSTI)

The question of energy usage and cost of providing space heat in the Northwest is discussed. Though space heating needs represents only 18% of the U.S.'s total energy consumption, it nevertheless appears to offer the greatest potential for conservation and near term applications of alternate energy sources. Efficiency and economic feasibility factors are considered in providing for space heating demands. These criteria are presented to establish energy usage, cost effectiveness and beneficial conservation practices for space heating of residential, commercial, and industrial buildings. Four Northwestern cities have been chosen whose wide range of climate conditions are used to formulate the seasonal fuel and capital cost and hence the annual heating cost covering a broad spectrum of heating applications, both the traditional methods, the newer alternate forms of energy, and various methods to achieve more efficient utilization of all types.

Keller, J.G.; Kunze, J.F.

1976-01-01T23:59:59.000Z

275

An empirical analysis of the relationship between web usage and academic performance in undergraduate students  

E-Print Network (OSTI)

The use of the internet, and in particular web browsing, offers many potential advantages for educational institutions as students have access to a wide range of information previously not available. However, there are potential negative effects due to factors such as time-wasting and asocial behaviour. In this study, we conducted an empirical investigation of the academic performance and the web-usage pattern of 2153 undergraduate students. Data from university proxy logs allows us to examine usage patterns and we compared this data to the students' academic performance. The results show that there is a small but significant (both statistically and educationally) association between heavier web browsing and poorer academic results (lower average mark, higher failure rates). In addition, among good students, the proportion of students who are relatively light users of the internet is significantly greater than would be expected by chance.

Hazelhurst, Scott; Sanders, Ian

2011-01-01T23:59:59.000Z

276

Structural proteomics of minimal organisms: conservation ofprotein fold usage and evolutionary implications  

SciTech Connect

Background: Determining the complete repertoire of proteinstructures for all soluble, globular proteins in a single organism hasbeen one of the major goals of several structural genomics projects inrecent years. Results: We report that this goal has nearly been reachedfor several "minimal organisms"--parasites or symbionts with reducedgenomes--for which over 95 percent of the soluble, globular proteins maynow be assigned folds, overall 3-D backbone structures. We analyze thestructures of these proteins as they relate to cellular functions, andcompare conservation off old usage between functional categories. We alsocompare patterns in the conservation off olds among minimal organisms andthose observed between minimal organisms and other bacteria. Conclusion:We find that proteins performing essential cellular functions closelyrelated to transcription and translation exhibit a higher degree ofconservation in fold usage than proteins in other functional categories.Folds related to transcription and translation functional categories werealso over represented in minimal organisms compared to otherbacteria.

Chandonia, John-Marc; Kim, Sung-Hou

2006-03-15T23:59:59.000Z

277

Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005  

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

7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005 7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005 Total.................................................................................. 111.1 7.1 7.0 8.0 12.1 Do Not Have Cooling Equipment.................................... 17.8 1.8 Q Q 4.9 Have Cooling Equipment................................................. 93.3 5.3 7.0 7.8 7.2 Use Cooling Equipment.................................................. 91.4 5.3 7.0 7.7 6.6 Have Equipment But Do Not Use it................................ 1.9 Q N Q 0.6 Type of Air-Conditioning Equipment 1, 2 Central System............................................................. 65.9 1.1 6.4 6.4 5.4 Without a Heat Pump................................................. 53.5 1.1 3.5 5.7 4.9 With a Heat Pump......................................................

278

Label Building Natural Gas Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS)  

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

Natural Gas Usage Form Natural Gas Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS) 1. Timely submission of this report is mandatory under Public Law 93-275, as amended. 2. This completed questionnaire is due by 3. Data reported on this questionnaire are for the entire building identified in the label to the right. 4. Data may be submitted directly on this questionnaire or in any other format, such as a computer-generated listing, which provides the same i nformation and is conve nient for y our company. a. You may submit a single report for the entire building, or if it i s easier, a separate report for each of several accounts in the building. These will then be aggregated by the survey contractor. b. If you are concerned about your individual account information, you may choose to mark

279

Space heating systems in the Northwest: energy usage and cost analysis  

SciTech Connect

The question of energy usage and cost of providing space heat in the Northwest is discussed. Though space heating needs represents only 18% of the U.S.'s total energy consumption, it nevertheless appears to offer the greatest potential for conservation and near term applications of alternate energy sources. Efficiency and economic feasibility factors are considered in providing for space heating demands. These criteria are presented to establish energy usage, cost effectiveness and beneficial conservation practices for space heating of residential, commercial, and industrial buildings. Four Northwestern cities have been chosen whose wide range of climate conditions are used to formulate the seasonal fuel and capital cost and hence the annual heating cost covering a broad spectrum of heating applications, both the traditional methods, the newer alternate forms of energy, and various methods to achieve more efficient utilization of all types.

Keller, J.G.; Kunze, J.F.

1976-01-01T23:59:59.000Z

280

Basin analog approach answers characterization challenges of unconventional gas potential in frontier basins  

E-Print Network (OSTI)

To continue increasing the energy supply to meet global demand in the coming decades, the energy industry needs creative thinking that leads to the development of new energy sources. Unconventional gas resources, especially those in frontier basins, will play an important role in fulfilling future world energy needs. We must identify and quantify potential unconventional gas resources in basins around the world to plan for their development. Basin analog assessment is one technique that can be used to identify and quantify unconventional gas resources that is less expensive and less time consuming. We have developed a basin analog methodology that is useful for rapidly and consistently evaluating the unconventional hydrocarbon resource potential in exploratory basins. We developed software, Basin Analog System (BAS), to perform and accelerate the process of identifying analog basins. Also, we built a database that includes geologic and petroleum systems information of intensely studied North America basins that contain well characterized conventional and unconventional hydrocarbon resources. We have selected 25 basins in North America that have a history of producing unconventional gas resources. These are â??referenceâ? basins that are used to predict resources in frontier or exploratory basins. The software assists us in ranking reference basins that are most analogous to the target basin for the primary purpose of evaluating the potential unconventional resources in the target basin. The methodology allows us to numerically rank all the reference basins relative to the target basin. The accuracy of the results depends on the descriptions of geologic and petroleum systems. We validated the software to make sure it is functioning correctly and to test the validity of the process and the database. Finding a reference basin that is analogous to a frontier basin can provide insights into potential unconventional gas resources of the frontier basin. Our method will help industry predict the unconventional hydrocarbon resource potential of frontier basins, guide exploration strategy, infer reservoir characteristics, and make preliminary decisions concerning the best engineering practices as wells are drilled, completed, stimulated and produced.

Singh, Kalwant

2006-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

Extending the boundaries of the usage of NMR chemical shifts in deciphering biomolecular structure and dynamics  

E-Print Network (OSTI)

Extending the Boundaries of the Usage of NMR Chemical Shifts in Deciphering Biomolecular Structure and Dynamics Aleksandr B. Sahakyan A thesis submitted for the degree of Doctor of Philosophy Department of Chemistry University of Cambridge Darwin 9... ? and ? dihedral angles. . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.3 The gas-phase optimised structures of the selected representative conformations of Ace-Ala-Nme with the fixed ? and ? angles and the corresponding secondary...

Sahakyan, Aleksandr B.

2012-07-03T23:59:59.000Z

282

On-Off Minimum-Time Control With Limited Fuel Usage: Global Optima Via Linear Programming  

SciTech Connect

A method for finding a global optimum to the on-off minimum-time control problem with limited fuel usage is presented. Each control can take on only three possible values: maximum, zero, or minimum. The simplex method for linear systems naturally yields such a solution for the re-formulation presented herein because it always produces an extreme point solution to the linear program. Numerical examples for the benchmark linear flexible system are presented.

DRIESSEN,BRIAN

1999-09-01T23:59:59.000Z

283

Assessing user experiences and usage intentions of m-banking service  

Science Conference Proceedings (OSTI)

M-banking is a channel through which banks interact with customers via mobile devices. M-banking is an emerging mobile commerce application. It is a challenging task for banks to encourage customers to continue using m-banking services, and ... Keywords: bank operations, dual process, financial information systems, m-banking, m-commerce, marketing strategies, mobile banking, mobile commerce, mobile communications, product attributes, product knowledge, promotional campaigns, usage intention, user experiences

Kuang-Hsun Shih; Hsu-Feng Hung; Binshan Lin

2010-05-01T23:59:59.000Z

284

Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2006; 3 Number of Establishments by Usage of Cogeneration Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies; Unit: Establishment Counts. Establishments with Any Cogeneration NAICS Technology Code(a) Subsector and Industry Establishments(b) in Use(c) In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know Total United States 311 Food 14,128 297 99 11,338 2,691 51 11,217 2,860 10 11,333 2,786 164 11,129 2,836 9 11,235 2,884 3112 Grain and Oilseed Milling 580 53 Q 499 38 5 532 42 W 533 W Q 533 44 5 530 45 311221 Wet Corn Milling 47 11 W 35 W W 43 W W 39 W 0 44 3 0 41 6 31131 Sugar Manufacturing

285

Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies;  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies; Unit: Establishment Counts. NAICS Code(a) Subsector and Industry Establishments(b) In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know Total United States 311 Food 14,128 1,632 9,940 2,556 3,509 8,048 2,571 1,590 9,609 2,929 6,260 5,014 2,854 422 9,945 3,762 3112 Grain and Oilseed Milling 580 59 475 46 300 236 Q 154 398 28 446 95 Q 45 442 92 311221 Wet Corn Milling 47 9 34 4 36 W W 27 15 6 38 3 6 8 24 16 31131 Sugar Manufacturing 77

286

Table HC6.5 Space Heating Usage Indicators by Number of Household Members, 2005  

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

5 Space Heating Usage Indicators by Number of Household Members, 2005 5 Space Heating Usage Indicators by Number of Household Members, 2005 Total U.S. Housing Units.................................. 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Heating Equipment..................... 1.2 0.3 0.3 Q 0.2 0.2 Have Space Heating Equipment....................... 109.8 29.7 34.5 18.2 15.6 11.8 Use Space Heating Equipment........................ 109.1 29.5 34.4 18.1 15.5 11.6 Have But Do Not Use Equipment.................... 0.8 Q Q Q Q Q Space Heating Usage During 2005 Heated Floorspace (Square Feet) None............................................................ 3.6 1.0 0.8 0.5 0.5 0.7 1 to 499........................................................ 6.1 3.0 1.6 0.6 0.6 0.3 500 to 999.................................................... 27.7 11.6 8.3 3.6 2.7 1.6 1,000 to 1,499..............................................

287

Simple strategies for minimization of cooling water usage in binary power plants  

SciTech Connect

The geothermal resources which could be used for the production of electrical power in the United States are located for the most part in the semi-arid western regions of the country. The availability of ground or surface water in the quantity or quality desired for a conventional wet'' heat rejections system represents a barrier to the development of these resources with the binary cycle technology. This paper investigates some simple strategies to minimize the cooling water usage of binary power plants. The cooling water usage is reduced by increasing the thermal efficiency of the plant. Three methods of accomplishing this are considered here: increasing the average source temperature, by increasing the geofluid outlet temperature; decreasing pinch points on the heat rejection heat exchangers, increasing their size; and using internal recuperation within the cycle. In addition to the impact on water usage, the impact on cost-of-electricity is determined. The paper shows that some of these strategies can reduce the cooling water requirements 20 to 30% over that for a plant similar to the Heber Binary Plant, with a net reduction in the cost-of-electricity of about 15%. 13 refs., 4 figs., 3 tabs.

Bliem, C.J.; Mines, G.L. (EG and G Idaho, Inc., Idaho Falls, ID (USA))

1989-01-01T23:59:59.000Z

288

Ownership and usage of small passenger vehicles: findings from the 1977 National Personal Transportation Study  

SciTech Connect

This report examines current patterns in the ownership and usage of small vehicles by private households. The analysis was conducted to shed additional light on the market potential for smaller, energy efficient vehicles, in particular, electric cars. The 1977 Nationwide Personal Transportation Survey (NPTS) was used to obtain information on the socio-demographic characteristics and the travel and vehicle ownership behavior of US households based on a national probability sample. The issues posed to direct the investigation of small vehicle ownership and use behavior include: the ownership of small vehicles; the proportion of the private vehicle population accounted for by small vehicles; how small and large vehicles compare in terms of physical characteristics and performance and terms of usage; and how small/large vehicle ownership and usage differences are explained by household differences or physical differences in the vehicles themselves. The study's approach to these issues has focused on descriptive data analysis, employing such tools as cross-classification tables, distributions, and graphic displays. (MCW)

1981-12-01T23:59:59.000Z

289

Simple strategies for minimization of cooling water usage in binary power plants  

SciTech Connect

The geothermal resources which could be used for the production of electrical power in the United States are located for the most part in the semi-arid western regions of the country. The availability of ground or surface water in the quantity or quality desired for a conventional wet'' heat rejections system represents a barrier to the development of these resources with the binary cycle technology. This paper investigates some simple strategies to minimize the cooling water usage of binary power plants. The cooling water usage is reduced by increasing the thermal efficiency of the plant. Three methods of accomplishing this are considered here: increasing the average source temperature, by increasing the geofluid outlet temperature; decreasing pinch points on the heat rejection heat exchangers, increasing their size; and using internal recuperation within the cycle. In addition to the impact on water usage, the impact on cost-of-electricity is determined. The paper shows that some of these strategies can reduce the cooling water requirements 20 to 30% over that for a plant similar to the Heber Binary Plant, with a net reduction in the cost-of-electricity of about 15%. 13 refs., 4 figs., 3 tabs.

Bliem, C.J.; Mines, G.L. (EG and G Idaho, Inc., Idaho Falls, ID (USA))

1989-01-01T23:59:59.000Z

290

California--San Joaquin Basin Onshore Natural Gas Plant Liquids...  

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

San Joaquin Basin Onshore Natural Gas Plant Liquids, Proved Reserves (Million Barrels) California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Proved Reserves (Million...

291

California--Los Angeles Basin Onshore Natural Gas Plant Liquids...  

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

Los Angeles Basin Onshore Natural Gas Plant Liquids, Proved Reserves (Million Barrels) California--Los Angeles Basin Onshore Natural Gas Plant Liquids, Proved Reserves (Million...

292

Geographic Information System At Northern Basin & Range Region...  

Open Energy Info (EERE)

Geographic Information System At Northern Basin & Range Region (Laney, 2005) Exploration Activity Details Location Northern Basin and Range Geothermal Region Exploration Technique...

293

Designated Ground Water Basin Map | Open Energy Information  

Open Energy Info (EERE)

Designated Ground Water Basin Map Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Reference Material: Designated Ground Water Basin Map Details Activities (0) Areas...

294

CRAD, Emergency Management - Office of River Protection K Basin...  

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

Emergency Management - Office of River Protection K Basin Sludge Waste System CRAD, Emergency Management - Office of River Protection K Basin Sludge Waste System May 2004 A section...

295

Rotating Hydraulics and Upstream Basin Circulation  

Science Conference Proceedings (OSTI)

The flow in a source-fed f-plane basin drained through a strait is explored using a single-layer (reduced gravity) shallow-water numerical model that resolves the hydraulic flow within the strait. The steady upstream basin circulation is found to ...

Karl R. Helfrich; Lawrence J. Pratt

2003-08-01T23:59:59.000Z

296

African sedimentary basins - Tectonic controls on prospectivity  

Science Conference Proceedings (OSTI)

An important prerequisite for the evaluation of any sedimentary basin is the understanding of its regional tectonic setting. This is especially so in the underexplored regions of Africa. The majority of African sedimentary basins developed in an extensional setting although some have undergone subsequent compressional or transpressional deformation. The geometry and evolution of these basins is often influenced by basement structure. The extensional phase of basin development controls not only the distribution of syn-rift sediments but also the magnitude of post-rift regional subsidence and the preservation or removal of pre-rift sediments. This has important consequences for exploration models of syn-rift and pre-rift source rocks and reservoirs. Post-rift basin inversion and uplift provide crucial controls on the preservation of mature source rocks and quality of reservoirs. The distribution, nature, timing, and possible mechanisms of this uplift in Africa will be addressed. The hydrocarbon prospectivity of African basis appears to be highly variable although the limited exploration of some regions makes the exact extent of this variability unclear. Basins considered potentially prospective range from late Precambrian to Tertiary in age. The various tectonic controls outlined above, and criteria for the evaluation of underexplored areas, will be demonstrated by reference to basins studied by The Robertson Group. Examples described include basins from Bagon, Angola, Namibia, East Africa, Tertiary Rift and Karoo Rifts, and North Africa (Sudan, Egypt, Algeria, and Morocco).

Bunter, M.A.G.; Crossley, R.; Hammill, M.; Jones, P.W.; Morgan, R.K.; Needham, D.T.; Spaargaren, F.A. (Robertson Group plc, Gwynedd (England))

1991-03-01T23:59:59.000Z

297

Thermal regimes of Malaysian sedimentary basins  

Science Conference Proceedings (OSTI)

Properly corrected and calibrated thermal data are important in estimating source-rock maturation, diagenetics, evolution of reservoirs, pressure regimes, and hydrodynamics. Geothermal gradient, thermal conductivity, and heat flow have been determined for the sedimentary succession penetrated by exploratory wells in Malaysia. Geothermal gradient and heat-flow maps show that the highest average values are in the Malay Basin. The values in the Sarawak basin are intermediate between those of the Malay basin and the Sabah Basin, which contains the lowest average values. Temperature data were analyzed from more than 400 wells. An important parameter that was studied in detail is the circulation time. The correct circulation time is essential in determining the correct geothermal gradient of a well. It was found that the most suitable circulation time for the Sabah Basin is 20 hr, 30 hr for the Sarawak Basin and 40 hr for the Malay Basin. Values of thermal conductivity, determined from measurement and calibrated calculations, were grouped according to depositional units and cycles in each basin.

Abdul Halim, M.F. (Petronas Research and Scientific Services, Selangor (Malaysia))

1994-07-01T23:59:59.000Z

298

"Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"  

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

5 Space Heating Usage Indicators by U.S. Census Region, 2005" 5 Space Heating Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Usage Indicators",,"Northeast","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.7 "Have Space Heating Equipment",109.8,20.5,25.6,40.3,23.4 "Use Space Heating Equipment",109.1,20.5,25.6,40.1,22.9 "Have But Do Not Use Equipment",0.8,"N","N","Q",0.6 "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

299

"Table HC8.5 Space Heating Usage Indicators by Urban/Rural Location, 2005"  

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

5 Space Heating Usage Indicators by Urban/Rural Location, 2005" 5 Space Heating Usage Indicators by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Space Heating Usage Indicators",,"City","Town","Suburbs","Rural" "Total U.S. Housing Units",111.1,47.1,19,22.7,22.3 "Do Not Have Heating Equipment",1.2,0.7,"Q",0.2,"Q" "Have Space Heating Equipment",109.8,46.3,18.9,22.5,22.1 "Use Space Heating Equipment",109.1,45.6,18.8,22.5,22.1 "Have But Do Not Use Equipment",0.8,0.7,"Q","N","N" "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

300

"Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"  

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

5 Space Heating Usage Indicators by Midwest Census Region, 2005" 5 Space Heating Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Space Heating Usage Indicators",,,"East North Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Do Not Have Heating Equipment",1.2,"Q","Q","N" "Have Space Heating Equipment",109.8,25.6,17.7,7.9 "Use Space Heating Equipment",109.1,25.6,17.7,7.9 "Have But Do Not Use Equipment",0.8,"N","N","N" "Space Heating Usage During 2005"

Note: This page contains sample records for the topic "usage ventura basin" 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

"Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"  

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

5 Space Heating Usage Indicators by Northeast Census Region, 2005" 5 Space Heating Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Space Heating Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Do Not Have Heating Equipment",1.2,"Q","Q","Q" "Have Space Heating Equipment",109.8,20.5,15.1,5.4 "Use Space Heating Equipment",109.1,20.5,15.1,5.4 "Have But Do Not Use Equipment",0.8,"N","N","N" "Space Heating Usage During 2005"

302

"Table HC15.5 Space Heating Usage Indicators by Four Most Populated States, 2005"  

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

5 Space Heating Usage Indicators by Four Most Populated States, 2005" 5 Space Heating Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Space Heating Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.2 "Have Space Heating Equipment",109.8,7.1,6.8,7.9,11.9 "Use Space Heating Equipment",109.1,7.1,6.6,7.9,11.4 "Have But Do Not Use Equipment",0.8,"N","Q","N",0.5 "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

303

California - San Joaquin Basin Onshore Crude Oil Estimated ...  

U.S. Energy Information Administration (EIA)

California - San Joaquin Basin Onshore Crude Oil Estimated Production from Reserves (Million Barrels)

304

California - Los Angeles Basin Onshore Natural Gas Plant ...  

U.S. Energy Information Administration (EIA)

California - Los Angeles Basin Onshore Natural Gas Plant Liquids, Reserves New Field Discoveries (Million Barrels)

305

California - Los Angeles Basin Onshore Natural Gas Plant ...  

U.S. Energy Information Administration (EIA)

California - Los Angeles Basin Onshore Natural Gas Plant Liquids, Reserves Acquisitions (Million Barrels)

306

Western Gas Sands Project Quarterly Basin Activities Report  

SciTech Connect

This quarterly basin activities report is a summation of three months drilling and testing activities in the Greater Green River Basin, Northern Great Plains Province, Piceance Basin, and Uinta Basin. Detailed information is given for each study area for the first quarter of 1979.

Atkinson, C H

1979-04-30T23:59:59.000Z

307

Choices of canisters and elements for the first fuel shipment from K West Basin  

SciTech Connect

Twenty-two canisters (10 prime and 12 backup candidates) in the K West Basin have been identified as containing fuel which, when examined, will satisfy the Data Quality Objectives for the first fuel shipment from this basin. These were chosen as meeting criteria such as containing relatively long fuel elements, locking bar integrity, and the availability of gas/liquid interface level measurements for associated canister gas traps. Two canisters were identified as having reported broken fuel on initial loading. Usage and interpretation of canister cesium concentration measurements have also been established and levels of maximum and minimum acceptable cesium concentration (from a data optimization point of view) for decapping have been determined although other operational cesium limits may also apply. Criteria for picking particular elements, once a canister is opened, are reviewed in this document. A pristine, a slightly damaged, and a badly damaged element are desired. The latter includes elements with end caps removed but does not include elements which have large amounts of swelling or split cladding that might interfere with handling tools. Finally, operational scenarios have been suggested to aid in the selections of canisters and elements in a way that utilizes anticipated canister gas sampling and leads to a correct and quick choice of elements which will supply the desired data.

Makenas, B.J.

1995-03-01T23:59:59.000Z

308

Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies  

E-Print Network (OSTI)

Design and simulation of future mobile networks will center around human interests and behavior. We propose a design paradigm for mobile networks driven by realistic models of users' on-line behavior, based on mining of billions of wireless-LAN records. We introduce a systematic method for large-scale multi-dimensional coclustering of web activity for thousands of mobile users at 79 locations. We find surprisingly that users can be consistently modeled using ten clusters with disjoint profiles. Access patterns from multiple locations show differential user behavior. This is the first study to obtain such detailed results for mobile Internet usage.

Moghaddam, Saeed; Ranka, Sanjay; Somaiya, Manas

2010-01-01T23:59:59.000Z

309

ADIFOR working note No. 11: ADIFOR strategies related to POINTER usage in MM5  

SciTech Connect

POINTERs are nonstandard Fortran statements which cannot be processed by ADIFOR. We are interested in generating derivative code for MM5, a mesoscale model code which uses POINTERs extensively and in a particular structured manner. We briefly report on POINTERs and their role in MM5 and, for their particular usage in MM5, describe the three-step code transformation scheme consisting of pre-ADIFOR, ADIFOR, and post-ADIFOR transformations that result in the generation of correct derivative code for MM5.

Bischof, C.; Khademi, P.; Knauff, T.

1994-03-01T23:59:59.000Z

310

Visualization of Instrumental Verification Information Details (VIVID) : code development, description, and usage.  

SciTech Connect

The formulation, implementation and usage of a numerical solution verification code is described. This code uses the Richardson extrapolation procedure to estimate the order of accuracy and error of a computational program solution. It evaluates multiple solutions performed in numerical grid convergence studies to verify a numerical algorithm implementation. Analyses are performed on both structured and unstructured grid codes. Finite volume and finite element discretization programs are examined. Two and three-dimensional solutions are evaluated. Steady state and transient solution analysis capabilities are present in the verification code. Multiple input data bases are accepted. Benchmark options are included to allow for minimal solution validation capability as well as verification.

Roy, Christopher John; Bainbridge, Bruce L.; Potter, Donald L.; Blottner, Frederick G.; Black, Amalia Rebecca

2005-03-01T23:59:59.000Z

311

Thermal state of the Arkoma Basin and the Anadarko Basin, Oklahoma.  

E-Print Network (OSTI)

??Chapter three addresses heat flow and thermal history of the Anadarko Basin and the western Oklahoma Platform. We found no evidence for heat flow to (more)

Lee, Youngmin.

312

K Basins Sludge Treatment Project Phase 1  

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

K Basins Sludge Treatment Project Phase 1 K Basins Sludge Treatment Project Phase 1 Technology Readiness Assessment Report Herb G. Sutter Michael Poirier Art W. Etchells Gary Smith Kris Thomas Jim J. Davis Paul Macbeth November 16, 2009 Prepared by the U.S. Department of Energy Washington, D.C. K Basins Sludge Treatment Project Phase 1 Technology Readiness Assessment Report November 16, 2009 ii Herbert G. Sutter, Team Lead Date Michael Poirier, Team Member Date Arthur W. Etchells, Team Member Date Gary Smith, Team Member Date Kris Thomas, Team Member Date Jim J. Davis, Team Member Date Paul Macbeth, Team Member Date Signatures 11/09/2009 11/09/2009 11/09/2009 K Basins Sludge Treatment Project Phase 1 Technology Readiness Assessment Report November 16, 2009

313

Alden Wave Basin | Open Energy Information  

Open Energy Info (EERE)

Wave Basin Wave Basin Jump to: navigation, search Basic Specifications Facility Name Alden Wave Basin Overseeing Organization Alden Research Laboratory, Inc Hydrodynamic Testing Facility Type Wave Basin Length(m) 33.5 Beam(m) 21.3 Depth(m) 1.2 Water Type Freshwater Cost(per day) Depends on study Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.3 Maximum Wave Height(m) at Wave Period(s) 1.0 Maximum Wave Length(m) 1.8 Wave Period Range(s) 1.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Period adjustable electronically, height adjustable mechanically Wave Direction Both Simulated Beach Yes Description of Beach Designed as needed using commercially available sand/sediment

314

Cold Pools in the Columbia Basin  

Science Conference Proceedings (OSTI)

Persistent midwinter cold air pools produce multiday periods of cold, dreary weather in basins and valleys. Persistent stable stratification leads to the buildup of pollutants and moisture in the pool. Because the pool sometimes has temperatures ...

C. D. Whiteman; S. Zhong; W. J. Shaw; J. M. Hubbe; X. Bian; J. Mittelstadt

2001-08-01T23:59:59.000Z

315

Hinsdale Wave Basin 1 | Open Energy Information  

Open Energy Info (EERE)

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

316

Further FGGE Forecasts for Amazon Basin Rainfall  

Science Conference Proceedings (OSTI)

A series of experiments using real-data general circulation model integrations is performed to study the impact of remote tropical Pacific heating modifications upon the rainfall over the Amazon Basin. In one set of experiments, a heating term is ...

Julio Buchmann; Jan Paegle; Lawrence Buja; R. E. Dickinson

1989-05-01T23:59:59.000Z

317

The Uinta Basin Case Robert J. Bayer  

E-Print Network (OSTI)

Overburden Tailings Oil Shale Mining Open Pit Underground Ex situ extraction Ex situ thermal conversion EIS for Oil Sands and Oil Shale Ongoing concerns with Basin-wide air quality Wildlife and wildlife

Utah, University of

318

Probabilistic Quantitative Precipitation Forecasts for River Basins  

Science Conference Proceedings (OSTI)

A methodology has been formulated to aid a field forecaster in preparing probabilistic quantitative precipitation forecasts (QPFs) for river basins. The format of probabilistic QPF is designed to meet three requirements: (i) it is compatible with ...

Roman Krzysztofowicz; William J. Drzal; Theresa Rossi Drake; James C. Weyman; Louis A. Giordano

1993-12-01T23:59:59.000Z

319

What Controls Evapotranspiration in the Amazon Basin?  

Science Conference Proceedings (OSTI)

Global climate models (GCMs) and regional climate models (RCMs) generally show a decrease in the dry season evapotranspiration (ET) rate over the entire Amazon basin. Based on anecdotal observations, it has been suggested that they probably ...

Natalia Hasler; Roni Avissar

2007-06-01T23:59:59.000Z

320

Prediction of August Atlantic Basin Hurricane Activity  

Science Conference Proceedings (OSTI)

Although skillful seasonal hurricane forecasts for the Atlantic basin are now a reality, large gaps remain in our understanding of observed variations in the distribution of activity within the hurricane season. The month of August roughly spans ...

Eric S. Blake; William M. Gray

2004-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

Flathead Basin Commission Act of 1983 (Montana)  

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

This Act establishes the Flathead Basin Commission, the purpose of which is to protect the Flathead Lake aquatic environment, its waters, and surrounding lands and natural resources. The Commission...

322

Sheets Wave Basin | Open Energy Information  

Open Energy Info (EERE)

Sheets Wave Basin Sheets Wave Basin Jump to: navigation, search Basic Specifications Facility Name Sheets Wave Basin Overseeing Organization University of Rhode Island Hydrodynamic Testing Facility Type Wave Basin Length(m) 30.0 Beam(m) 3.6 Depth(m) 1.8 Cost(per day) $750(+ Labor/Materials) Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 2.0 Length of Effective Tow(m) 25.0 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.3 Maximum Wave Height(m) at Wave Period(s) 3.0 Maximum Wave Length(m) 10 Wave Period Range(s) 3.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Pre-programmed for regular and irregular waves, but wavemaker is capable of any input motion. Wave Direction Uni-Directional

323

Haynes Wave Basin | Open Energy Information  

Open Energy Info (EERE)

Wave Basin Wave Basin Jump to: navigation, search Basic Specifications Facility Name Haynes Wave Basin Overseeing Organization Texas A&M (Haynes) Hydrodynamic Testing Facility Type Wave Basin Length(m) 38.1 Beam(m) 22.9 Depth(m) 1.5 Water Type Freshwater Cost(per day) $150/hour (excluding labor) Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.6 Maximum Wave Height(m) at Wave Period(s) 3.3 Maximum Wave Length(m) 10.7 Wave Period Range(s) 3.3 Current Velocity Range(m/s) 0.2 Programmable Wavemaking Yes Wavemaking Description Directional, irregular, any spectrum, cnoidal or solitary wave Wave Direction Both Simulated Beach Yes Description of Beach Stone Channel/Tunnel/Flume Channel/Tunnel/Flume None

324

The basins on the Argentine continental margin  

Science Conference Proceedings (OSTI)

After the stabilization of the central Gondwana Craton, orogenic belts were accreted, as a result of convergence events and an extensive passive margin developed in southwestern Gondwana. Thermal subsidence in Parana, Karoo-Ventania basins and the Late Paleozoic-Early Mesozoic rifts, were modified by the Gondwana breakup and the South Atlantic opening. Early Paleozoic marine transgressions deposited the Table Mountain Group in Ventania. In southwestern Patagonia foreland clastics were deposited. Magmatic arcs and marine units indicate a tectonic trough was formed, alternating with continental sequences, over Late Paleozoic metamorphics and intrusives, resulting from plastered terrains along the Gondwana margin. In Patagonia, Permo-Carboniferous continental and glacio marine clastics infill the basins, while in Ventania, paralic sequences, grade from neritic to continental to the northeast, extending beneath the continental margin. The Triassic-Jurassic rift basins progressed onto regional widespread acid lavas and were infilled by lagoonal organic-rich sequences. Early drift phase built basins transverse to the margin, with fluvio-lacustrine sequences: Salado, Colorado, Valdes-Rawson, San Julian and North Malvinas intracratonic basins, which underwent transtensional faulting. Post-Oxfordian to Neocomian brackish sequences, onlapped the conjugate basins during the margin`s drift, with petroleum systems, as in Austral and Malvinas. In the Valanginian, basic extrusions commenced to form on the continental border, heralding the oceanic phase. Due to thermal subsidence, offlaping sediments prograded onto the remaining half-grabens. Several petroleum systems, proven and hypothetical, are identified in this region.

Urien, C.M. [Buenos Aires Technological Institute Petroleum School, Buenos Aires (Argentina)

1996-08-01T23:59:59.000Z

325

Table HC6.12 Home Electronics Usage Indicators by Number of Household Members, 2005  

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

2 Home Electronics Usage Indicators by Number of Household Members, 2005 2 Home Electronics Usage Indicators by Number of Household Members, 2005 Total................................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer............................. 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal Computer.......................................... 75.6 13.8 25.4 14.4 13.2 8.8 Most-Used Personal Computer Type of PC Desk-top Model..................................................... 58.6 10.0 20.0 11.2 10.1 7.3 Laptop Model........................................................ 16.9 3.7 5.4 3.2 3.1 1.5 Hours Turned on Per Week Less than 2 Hours................................................. 13.6 4.0 4.7 1.7 1.8 1.4 2 to 15 Hours........................................................

326

Table HC6.7 Air-Conditioning Usage Indicators by Number of Household Members, 2005  

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

7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total........................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Cooling Equipment.......................... 17.8 5.4 5.3 2.7 2.5 2.0 Have Cooling Equipment...................................... 93.3 24.6 29.6 15.7 13.4 10.0 Use Cooling Equipment....................................... 91.4 24.0 29.1 15.5 13.2 9.7 Have Equipment But Do Not Use it...................... 1.9 0.6 0.5 Q 0.2 0.4 Type of Air-Conditioning Equipment 1, 2 Central System................................................... 65.9 15.3 22.6 10.7 9.9 7.3 Without a Heat Pump....................................... 53.5 12.5 17.9 8.7 8.2 6.3 With a Heat Pump............................................ 12.3

327

Optimal Power Procurement and Demand Response with Quality-of-Usage Guarantees  

E-Print Network (OSTI)

In this paper, we propose a general operating scheme which allows the utility company to jointly perform power procurement and demand response so as to maximize the social welfare. Our model takes into consideration the effect of the renewable energy and the multi-stage feature of the power procurement process. It also enables the utility company to provide quality-of-usage (QoU) guarantee to the power consumers, which ensures that the average power usage level meets the target value for each user. To maximize the social welfare, we develop a low-complexity algorithm called the \\emph{welfare maximization algorithm} (WMA), which performs joint power procurement and dynamic pricing. WMA is constructed based on a two-timescale Lyapunov optimization technique. We prove that WMA achieves a close-to-optimal utility and ensures that the QoU requirement is met with bounded deficit. WMA can be implemented in a distributed manner and is robust with respect to system dynamics uncertainty.

Huang, Longbo; Ramchandran, Kannan

2011-01-01T23:59:59.000Z

328

HPC Usage Behavior Analysis and Performance Estimation with Machine Learning Techniques  

Science Conference Proceedings (OSTI)

Most researchers with little high performance computing (HPC) experience have difficulties productively using the supercomputing resources. To address this issue, we investigated usage behaviors of the world s fastest academic Kraken supercomputer, and built a knowledge-based recommendation system to improve user productivity. Six clustering techniques, along with three cluster validation measures, were implemented to investigate the underlying patterns of usage behaviors. Besides manually defining a category for very large job submissions, six behavior categories were identified, which cleanly separated the data intensive jobs and computational intensive jobs. Then, job statistics of each behavior category were used to develop a knowledge-based recommendation system that can provide users with instructions about choosing appropriate software packages, setting job parameter values, and estimating job queuing time and runtime. Experiments were conducted to evaluate the performance of the proposed recommendation system, which included 127 job submissions by users from different research fields. Great feedback indicated the usefulness of the provided information. The average runtime estimation accuracy of 64.2%, with 28.9% job termination rate, was achieved in the experiments, which almost doubled the average accuracy in the Kraken dataset.

Zhang, Hao [ORNL; You, Haihang [ORNL; Hadri, Bilel [ORNL; Fahey, Mark R [ORNL

2012-01-01T23:59:59.000Z

329

Lessons Learned from Dependency Usage in HERA: Implications for THERP-Related HRA Methods  

SciTech Connect

Dependency occurs when the probability of success or failure on one action changes the probability of success or failure on a subsequent action. Dependency may serve as a modifier on the human error probabilities (HEPs) for successive actions in human reliability analysis (HRA) models. Discretion should be employed when determining whether or not a dependency calculation is warranted: dependency should not be assigned without strongly grounded reasons. Human reliability analysts may sometimes assign dependency in cases where it is unwarranted. This inappropriate assignment is attributed to a lack of clear guidance to encompass the range of scenarios human reliability analysts are addressing. Inappropriate assignment of dependency produces inappropriately elevated HEP values. Lessons learned about dependency usage in the Human Event Repository and Analysis (HERA) system may provide clarification and guidance for analysts using first-generation HRA methods. This paper presents the HERA approach to dependency assessment and discusses considerations for dependency usage in HRA, including the cognitive basis for dependency, direction for determining when dependency should be assessed, considerations for determining the dependency level, temporal issues to consider when assessing dependency, (e.g., considering task sequence versus overall event sequence, and dependency over long periods of time), and diagnosis and action influences on dependency.

April M. Whaley; Ronald L. Boring; Harold S. Blackman; Patrick H. McCabe; Bruce P. Hallbert

2007-08-01T23:59:59.000Z

330

Solvent usage and recycling potential in a research and development setting  

SciTech Connect

Argonne National Laboratory utilizes thousands of gallons of chemicals each year. Laboratory wastes can be broadly characterized as coming from three focus areas: (1) restoration and decommissioning associated wastes generate larger quantities of waste on a one-time basis. The wastes may be non-hazardous to highly toxic and the quantities are variable. (2) Laboratory operations generate approximately 50% of all waste disposed. Operational waste can be characterized as less hazardous, reasonably consistent in nature, generally in larger quantities. (3) the final waste stream is small quantities of many different materials coming from many different waste streams. This waste stream is at the center of ANL`s pollution prevention program. The research areas have implemented many pollution prevention techniques. Solvent substitution has been effective in reducing hazardous cleaning wastes, scintillation cocktail wastes, and other chlorinated wastes. Micro chemistry is effective at minimizing certain chemical process wastes, developing new analytical chemistry procedures has reduced and eliminated other waste forms. New instrumentation has provided first level reductions in many waste streams. Despite these new techniques solvent usage remains the largest research related waste stream. The present solvents are generated from instruments such as electrophoresis and high pressure liquid chromatographs (HPLC), solvent extractions, biological staining and cleaning practices. ANL recognizes the significant role recycling this waste stream is in Pollution Prevention Program implementation. ANL initiated a study to quantify solvent usage, characterization of the waste solvent, and match the purity requirements exploring all opportunities to substitute and recycle.

Vivio, F.; Thuot, J.R.; Peters, R.W.

1996-07-01T23:59:59.000Z

331

Proceedings: Workshop on prospects and requirements for geographic expansion of wind power usage  

SciTech Connect

This report constitutes the proceedings of a workshop on the Prospects and Requirements for Geographic Expansion of Wind Power Usage held March 5-6, 1986, in Dallas, Texas. The workshop was sponsored by the Electric Power Research Institute (EPRI) in cooperation with the Solar Energy Research Institute (SERI). SERI is operated by Midwest Research Institute for the US Department of Energy. The workshop participants concluded that there are a number of areas in the United States with substantial wind resources. Determining the potential for development of these resources for wind power will require local, detailed wind measurements. The participants saw no technology barriers to more widespread usage of wind power. They considered the greatest potential for advancement of wind power technology to be in the application of power electronics to enable variable speed wind turbine operation and to integrate and improve wind power station control and protection. Although wind power stations were seen as posing no health hazards, public and utility acceptance of the technology, the participants agreed, will require strong educational activities in all aspects of wind power. The implications of these conclusions for the research programs of EPRI and other sectors are discussed.

Steitz, P.

1986-11-01T23:59:59.000Z

332

Usage of Electric Vehicle Supply Equipment Along the Corridors between the EV Project Major Cities  

DOE Green Energy (OSTI)

The report explains how the EVSE are being used along the corridors between the EV Project cities. The EV Project consists of a nationwide collaboration between Idaho National Laboratory (INL), ECOtality North America, Nissan, General Motors, and more than 40 other city, regional and state governments, and electric utilities. The purpose of the EV Project is to demonstrate the deployment and use of approximately 14,000 Level II (208-240V) electric vehicle supply equipment (EVSE) and 300 fast chargers in 16 major cities. This research investigates the usage of all currently installed EV Project commercial EVSE along major interstate corridors. ESRI ArcMap software products are utilized to create geographic EVSE data layers for analysis and visualization of commercial EVSE usage. This research locates the crucial interstate corridors lacking sufficient commercial EVSE and targets locations for future commercial EVSE placement. The results and methods introduced in this research will be used by INL for the duration of the EV Project.

Mindy Kirkpatrick

2012-05-01T23:59:59.000Z

333

Improved Basin Analog System to Characterize Unconventional Gas Resource  

E-Print Network (OSTI)

Unconventional resources will play an important role in filling the gap between supply and demand for future world energy. In North America, the impact of unconventional resources on energy supplies is growing continuously. However, around the world they have yet to serve as a major contributor to the energy supply, partly due to the scarcity of information about the exploration and development technologies required to produce them. Basin analogy can be used to estimate the undiscovered petroleum potential in a target basin by finding a geological analog that has been explored enough that its resource potential is fully understood. In 2006, Singh developed a basin analog system BASIN (Basin Analog Systems INvestigation) in detail that could rapidly and consistently identify analogous reference basins for a target basin. My research focused on continuing that work, comprehensively improving the basin analog system in four areas: the basin analog method; the database; the software functionality; and the validation methods. The updated system compares basins in terms of probability distributions of geological parameters. It compensates for data that are sparse or that do not represent basin-level geological parameters, and it expands the system's ability to compare widely varying quantitative parameters. Because the updated BASIN database contains more geologic and petroleum systems information on reference (existing) basins, it identifies analog basins more accurately and efficiently. The updated BASIN software was developed by using component-based design and data visualization techniques that help users better manage large volumes of information to understand various data objects and their complicated relationships among various data objects. Validation of the improved BASIN software confirms its accuracy: if a basin selected as the target basin appears in the reference basin list with other basins, the target basin is 100% analogous only to itself. Furthermore, when a target basin is analyzed by both BASIN and PRISE (Petroleum Resources Investigation and Summary Evaluation) software, results of the improved BASIN closely matched the PRISE results, which provides important support for using BASIN and PRISE together to quantitatively estimate the resource potential in frontier basins.

Wu, Wenyan 1983-

2012-12-01T23:59:59.000Z

334

The Jordan River Basin : culture in resource management and conflict.  

E-Print Network (OSTI)

??This thesis is a case study of the impact of culture on the management of water resources and the conflict over their usage by opposing (more)

Ritzler, Jacob

2004-01-01T23:59:59.000Z

335

Mineralogy and organic petrology of oil shales in the Sangkarewang formation, Ombilin Basin, West Sumatra, Indonesia.  

E-Print Network (OSTI)

??The Ombilin Basin, which lies in Sumatra Island, is one of the Tertiary basins in Indonesia. This basin contains a wide variety of rock units, (more)

Fatimah, Fatimah

2009-01-01T23:59:59.000Z

336

Basinfill of The Permian Tanqua depocentre, SW Karoo basin, South Africa.  

E-Print Network (OSTI)

??ENGLISH ABSTRACT: Basin subsidence analysis, employing the backstripping method, indicates that fundamentally two different basin-generating mechanisms controlled Tanqua depocentre development in SW Karoo Basin. The (more)

Alao, Abosede Olubukunola

2012-01-01T23:59:59.000Z

337

Snake River Basin environmental program  

DOE Green Energy (OSTI)

The Snake River Basin Environmental Program was designed to evaluate existing environmental data with respect to potential geothermal development in eight Known Geothermal Resource Areas (KGRAs) in Idaho. State and federal agencies, public interest groups, consulting groups, and universities participated in the DOE program. Final reports for the program are intended to be utilized as reference documents and planning tools for future environmental studies. Evaluation of the data indicated that the majority of the existing data base is adequate for small-scale direct-use developments. The potential impacts of development on water quality and water supply are the primary environmental concern. Preliminary data suggest that subsidence and induced seismicity may be a problem in several of the KGRAs. Sensitive animal species and habitats have been identified in each area; development in the Castle Creek KGRA may be restricted due to the Birds of Prey Natural Area. Two workshops provided public input on concerns and land use planning for geothermal development in Idaho. Based on the data evaluation and public input, a plan for supplementing the existing environmental data base was prepared.

Spencer, S.G.; Sullivan, J.F.

1979-09-01T23:59:59.000Z

338

The Thermally Driven Cross-Basin Circulation in Idealized Basins under Varying Wind Conditions  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting model is used to perform large-eddy simulations of thermally driven cross-basin winds in idealized, closed basins. A spatially and temporally varying heat flux is prescribed at the surface as a function of ...

Manuela Lehner; C. David Whiteman

2012-06-01T23:59:59.000Z

339

Basin width control of faulting in the Naryn Basin, south central Kyrgyzstan  

E-Print Network (OSTI)

are commonly found within intramontane basins that separate its constituent ranges. In order to explore of the Tien Shan, central Asia's largest mountain range, is driven by the distant collision between India found within basin interiors, 10­20 km distant from bedrock cored ranges [Avouac et al., 1993; Bullen et

Bookhagen, Bodo

340

"Table HC8.12 Home Electronics Usage Indicators by Urban/Rural Location, 2005"  

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

2 Home Electronics Usage Indicators by Urban/Rural Location, 2005" 2 Home Electronics Usage Indicators by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Home Electronics Usage Indicators",,"City","Town","Suburbs","Rural" "Total",111.1,47.1,19,22.7,22.3 "Personal Computers" "Do Not Use a Personal Computer",35.5,16.9,6.5,4.6,7.6 "Use a Personal Computer",75.6,30.3,12.5,18.1,14.7 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,22.9,9.8,14.1,11.9 "Laptop Model",16.9,7.4,2.7,4,2.9 "Hours Turned on Per Week" "Less than 2 Hours",13.6,5.7,1.8,2.9,3.2

Note: This page contains sample records for the topic "usage ventura basin" 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

"Table HC11.12 Home Electronics Usage Indicators by Northeast Census Region, 2005"  

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

2 Home Electronics Usage Indicators by Northeast Census Region, 2005" 2 Home Electronics Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Home Electronics Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.9,5.3,1.6 "Use a Personal Computer",75.6,13.7,9.8,3.9 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,10.4,7.3,3.1 "Laptop Model",16.9,3.3,2.6,0.7 "Hours Turned on Per Week" "Less than 2 Hours",13.6,2.4,1.8,0.6

342

"Table HC11.7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005"  

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

7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005" 7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Air Conditioning Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Do Not Have Cooling Equipment",17.8,4,2.4,1.7 "Have Cooling Equipment",93.3,16.5,12.8,3.8 "Use Cooling Equipment",91.4,16.3,12.6,3.7 "Have Equipment But Do Not Use it",1.9,0.3,"Q","Q" "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,6,5.2,0.8 "Without a Heat Pump",53.5,5.5,4.8,0.7

343

"Table HC15.7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005"  

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

7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005" 7 Air-Conditioning Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Air Conditioning Usage Indicators",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Do Not Have Cooling Equipment",17.8,1.8,"Q","Q",4.9 "Have Cooling Equipment",93.3,5.3,7,7.8,7.2 "Use Cooling Equipment",91.4,5.3,7,7.7,6.6 "Have Equipment But Do Not Use it",1.9,"Q","N","Q",0.6 "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,1.1,6.4,6.4,5.4

344

"Table HC15.10 Home Appliances Usage Indicators by Four Most Populated States, 2005"  

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

0 Home Appliances Usage Indicators by Four Most Populated States, 2005" 0 Home Appliances Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Home Appliances Usage Indicators",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,0.6,0.5,0.8,1.4 "2 Times A Day",24.6,1.4,1.5,2,3.1 "Once a Day",42.3,2.4,3,2.7,4.1 "A Few Times Each Week",27.2,2.1,1.7,1.7,2.5 "About Once a Week",3.9,0.3,"Q",0.4,0.6 "Less Than Once a Week",4.1,"Q","Q",0.3,0.4

345

" Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." ,,,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel Firing",,,," " "NAICS" "Code(a)","Subsector and Industry","Establishments(b)","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know"

346

"Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region, 2005"  

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

2 Home Electronics Usage Indicators by Midwest Census Region, 2005" 2 Home Electronics Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Home Electronics Usage Indicators",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Personal Computers" "Do Not Use a Personal Computer",35.5,8.1,5.6,2.5 "Use a Personal Computer",75.6,17.5,12.1,5.4 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,14.1,10,4 "Laptop Model",16.9,3.4,2.1,1.3 "Hours Turned on Per Week" "Less than 2 Hours",13.6,3.4,2.5,0.9

347

"Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005"  

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

7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005" 7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Air Conditioning Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Do Not Have Cooling Equipment",17.8,4,2.1,1.4,10.3 "Have Cooling Equipment",93.3,16.5,23.5,39.3,13.9 "Use Cooling Equipment",91.4,16.3,23.4,38.9,12.9 "Have Equipment But Do Not Use it",1.9,0.3,"Q",0.5,1 "Type of Air-Conditioning Equipment1, 2" "Central System",65.9,6,17.3,32.1,10.5 "Without a Heat Pump",53.5,5.5,16.2,23.2,8.7

348

"Table HC3.13 Lighting Usage Indicators by Owner-Occupied Housing Unit Zone, 2005"  

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

3 Lighting Usage Indicators by Owner-Occupied Housing Unit Zone, 2005" 3 Lighting Usage Indicators by Owner-Occupied Housing Unit Zone, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Lighting Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total U.S. Housing Units",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,65,54.3,3.3,1.5,1.6,4.4 "1.",28.6,17.9,14,0.9,0.6,0.7,1.7

349

"Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005"  

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

0 Home Appliances Usage Indicators by South Census Region, 2005" 0 Home Appliances Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Home Appliances Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,3,1.6,0.3,1.1 "2 Times A Day",24.6,8.3,4.2,1.3,2.7 "Once a Day",42.3,15,8.1,2.7,4.2 "A Few Times Each Week",27.2,10.9,6,1.8,3.1 "About Once a Week",3.9,1.6,0.7,0.4,0.5

350

"Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005"  

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

2 Home Electronics Usage Indicators by West Census Region, 2005" 2 Home Electronics Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Electronics Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Personal Computers" "Do Not Use a Personal Computer",35.5,6.4,2.2,4.2 "Use a Personal Computer",75.6,17.8,5.3,12.5 "Most-Used Personal Computer" "Type of PC" "Desk-top Model",58.6,13.7,4.2,9.5 "Laptop Model",16.9,4.1,1.1,3 "Hours Turned on Per Week" "Less than 2 Hours",13.6,2.9,0.9,2 "2 to 15 Hours",29.1,6.6,2,4.6

351

"Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005"  

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

0 Home Appliances Usage Indicators by West Census Region, 2005" 0 Home Appliances Usage Indicators by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Home Appliances Usage Indicators",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,2.6,0.7,1.9 "2 Times A Day",24.6,6.6,2,4.6 "Once a Day",42.3,8.8,2.9,5.8 "A Few Times Each Week",27.2,4.7,1.5,3.1 "About Once a Week",3.9,0.7,"Q",0.6 "Less Than Once a Week",4.1,0.7,0.3,0.4 "No Hot Meals Cooked",0.9,0.2,"Q","Q"

352

"Table HC13.7 Air-Conditioning Usage Indicators by South Census Region, 2005"  

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

7 Air-Conditioning Usage Indicators by South Census Region, 2005" 7 Air-Conditioning Usage Indicators by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Air Conditioning Usage Indicators",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Do Not Have Cooling Equipment",17.8,1.4,0.8,0.2,0.3 "Have Cooling Equipment",93.3,39.3,20.9,6.7,11.8 "Use Cooling Equipment",91.4,38.9,20.7,6.6,11.7 "Have Equipment But Do Not Use it",1.9,0.5,"Q","Q","Q" "Type of Air-Conditioning Equipment1, 2"

353

"Table HC4.10 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005"  

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

0 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005" 0 Home Appliances Usage Indicators by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Home Appliances Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,33,8,3.4,5.9,14.4,1.2 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,3.4,1,0.4,0.6,1.2,"Q" "2 Times A Day",24.6,8.6,2.3,1,1.6,3.5,0.2

354

"Table HC4.5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005"  

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

5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005" 5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Space Heating Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total U.S. Housing Units",111.1,33,8,3.4,5.9,14.4,1.2 "Do Not Have Heating Equipment",1.2,0.6,"Q","Q","Q",0.3,"Q" "Have Space Heating Equipment",109.8,32.3,8,3.3,5.8,14.1,1.1

355

"Table HC3.5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005"  

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

5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005" 5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Space Heating Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total U.S. Housing Units",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Do Not Have Heating Equipment",1.2,0.6,0.3,"N","Q","Q","Q" "Have Space Heating Equipment",109.8,77.5,63.7,4.2,1.8,2.2,5.6

356

"Table HC3.7 Air-Conditioning Usage Indicators by Owner-Occupied Housing Unit, 2005"  

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

7 Air-Conditioning Usage Indicators by Owner-Occupied Housing Unit, 2005" 7 Air-Conditioning Usage Indicators by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Air Conditioning Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Do Not Have Cooling Equipment",17.8,11.3,9.3,0.6,"Q",0.4,0.9 "Have Cooling Equipment",93.3,66.8,54.7,3.6,1.7,1.9,4.8 "Use Cooling Equipment",91.4,65.8,54,3.6,1.7,1.9,4.7

357

"Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005"  

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

0 Home Appliances Usage Indicators by Northeast Census Region, 2005" 0 Home Appliances Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ," U.S. Housing Units (millions) " ,,,"Census Division" ,,"Total Northeast" "Home Appliances Usage Indicators",,,"Middle Atlantic","New England" "Total",111.1,20.6,15.1,5.5 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,1.2,1,0.2 "2 Times A Day",24.6,4,2.7,1.2 "Once a Day",42.3,7.9,5.4,2.5 "A Few Times Each Week",27.2,6,4.8,1.2 "About Once a Week",3.9,0.6,0.5,"Q" "Less Than Once a Week",4.1,0.6,0.4,"Q"

358

Evidence from Two Large Field Experiments that Peer Comparison Feedback Can Reduce Residential Energy Usage  

E-Print Network (OSTI)

Abstract: By providing feedback to customers on home electricity and natural gas usage with a focus on peer comparisons, utilities can reduce energy consumption at a low cost. We analyze data from two large-scale, random-assignment field experiments conducted by utility companies providing electricity (the Sacramento Municipal Utility District (SMUD)) and electricity and natural gas (Puget Sound Energy (PSE)), in partnership with a private company, Positive Energy/oPower, which provides monthly or quarterly mailed peer feedback reports to customers. We find reductions in energy consumption of 1.2 % (PSE) to 2.1% percent (SMUD), with the decrease sustained over time (seven months (PSE) and twelve months (SMUD)).

Ian Ayres Yale; Sophie Raseman Yale; Alice Shih Yale; Ian Ayres; Sophie Raseman; Alice Shih

2010-01-01T23:59:59.000Z

359

Prolonged cold storage of red blood cells by oxygen removal and additive usage  

DOE Patents (OSTI)

Prolonged cold storage of red blood cells by oxygen removal and additive usage. A cost-effective, 4.degree. C. storage procedure that preserves red cell quality and prolongs post-transfusion in vivo survival is described. The improved in vivo survival and the preservation of adenosine triphosphate levels, along with reduction in hemolysis and membrane vesicle production of red blood cells stored at 4.degree. C. for prolonged periods of time, is achieved by reducing the oxygen level therein at the time of storage; in particular, by flushing the cells with an inert gas, and storing them in an aqueous solution which includes adenine, dextrose, mannitol, citrate ion, and dihydrogen phosphate ion, but no sodium chloride, in an oxygen-permeable container which is located in an oxygen-free environment containing oxygen-scavenging materials.

Bitensky, Mark W. (Boston, MA); Yoshida, Tatsuro (Newton, MA)

1998-01-01T23:59:59.000Z

360

Prolonged cold storage of red blood cells by oxygen removal and additive usage  

DOE Patents (OSTI)

Prolonged cold storage of red blood cells by oxygen removal and additive usage. A cost-effective, 4 C storage procedure that preserves red cell quality and prolongs post-transfusion in vivo survival is described. The improved in vivo survival and the preservation of adenosine triphosphate levels, along with reduction in hemolysis and membrane vesicle production of red blood cells stored at 4 C for prolonged periods of time, is achieved by reducing the oxygen level therein at the time of storage; in particular, by flushing the cells with an inert gas, and storing them in an aqueous solution which includes adenine, dextrose, mannitol, citrate ion, and dihydrogen phosphate ion, but no sodium chloride, in an oxygen-permeable container which is located in an oxygen-free environment containing oxygen-scavenging materials. 8 figs.

Bitensky, M.W.; Yoshida, Tatsuro

1998-08-04T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" 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

Method and apparatus for minimizing the fuel usage in an internal combustion engine  

SciTech Connect

An apparatus and method is disclosed for minimizing the fuel usage in an internal combustion engine. The subject invention is particularly adapted for use with an engine installation subject to varying loads and which includes a governor for varying fuel flow as a function of load. In operation, the combustibles in the exhaust gas of the engine is continuously monitored. The measured level of combustibles is then compared with a predetermined level corresponding to optimum efficiency. A controller is provided for varying the air/fuel ratio supplied to the engine for maximizing efficiency in correspondence with the preset level. By this arrangement, energy output is increased permitting the governor to further reduce fuel flow, thereby minimizing energy costs.

Smojven, R.R.

1984-09-18T23:59:59.000Z

362

Usage of Friction-damped Braced Frames for Seismic Vibration Control  

E-Print Network (OSTI)

This study presents the results of experimental work that examines the functionality of friction-damped braced frames during seismic events. The simplicity and efficacy of this friction device as a means of passive vibration control suggest that it may have notable implications in the field of structural engineering. Little scholarship has been devoted to this issue in recent years, and further research to advance our understanding of its possible implementations is necessary. To measure the functionality of this type of frame, this study first examines and compares virtual models of a building modeling the effect of friction damping versus that same building without such damping. It then corroborates these findings by presenting the results of physical experimentation on a scale model of the building, both with and without damping. The validation of the virtual models by the physical model provides credence to the usage of friction-damped braced frames as a seismic energy dissipating system.

Fink, Brynnan 1992-

2012-05-01T23:59:59.000Z

363

Stratgies for Diversity Usage to Mitigate Postulated Common Cause Failure Vulnerabilities  

Science Conference Proceedings (OSTI)

This paper describes an approach to establish effective mitigating strategies that can resolve potential common-cause failure (CCF) vulnerabilities in instrumentation and control systems at nuclear power plants. A particular objective in the development of these strategies, which consist of combinations of diversity attributes and their associated criteria, is to address the unique characteristics of digital technology that can contribute to CCF concerns. The research approach employed to establish diversity strategies involves investigation of available documentation on diversity usage and experience from nuclear power and non-nuclear industries, capture of expert knowledge and lessons learned, determination of common practices, and assessment of the nature of CCFs and compensating diversity attributes. The resulting diversity strategies address considerations such as the effect of technology choices, the nature of CCF vulnerabilities, and the prospective impact of each diversity type. In particular, the impact of each attribute and criterion on the purpose, process, product, and performance aspects of diverse systems are considered.

Wood, Richard Thomas [ORNL; Waterman, Michael E. [U.S. Nuclear Regulatory Commission

2011-01-01T23:59:59.000Z

364

Display space usage and window management operation comparisons between single monitor and multiple monitor users  

E-Print Network (OSTI)

The continuing trend toward greater processing power, larger storage, and in particular increased display surface by using multiple monitor supports increased multi-tasking by the computer user. The concomitant increase in desktop complexity has the potential to push the overhead of window management to frustrating and counterproductive new levels. It is difficult to adequately design for multiple monitor systems without understanding how multiple monitor users differ from, or are similar to, single monitor users. Therefore, we deployed a tool to a group of single monitor and multiple monitor users to log window management activity. Analysis of the data collected from this tool revealed that usage of interaction components may change with an increase in number of monitors, and window visibility can be a useful measure of user display space management activity, especially for multiple monitor users. The results from this analysis begin to fill a gap in research about real-world window management practices.

Dugald Ralph Hutchings; Greg Smith; Brian Meyers; Mary Czerwinski; George Robertson

2004-01-01T23:59:59.000Z

365

Corrosion in ICPP fuel storage basins  

SciTech Connect

The Idaho Chemical Processing Plant currently stores irradiated nuclear fuel in fuel storage basins. Historically, fuel has been stored for over 30 years. During the 1970`s, an algae problem occurred which required higher levels of chemical treatment of the basin water to maintain visibility for fuel storage operations. This treatment led to higher levels of chlorides than seen previously which cause increased corrosion of aluminum and carbon steel, but has had little effect on the stainless steel in the basin. Corrosion measurements of select aluminum fuel storage cans, aluminum fuel storage buckets, and operational support equipment have been completed. Aluminum has exhibited good general corrosion rates, but has shown accelerated preferential attack in the form of pitting. Hot dipped zinc coated carbon steel, which has been in the basin for approximately 40 years, has shown a general corrosion rate of 4 mpy, and there is evidence of large shallow pits on the surface. A welded Type 304 stainless steel corrosion coupon has shown no attack after 13 years exposure. Galvanic couples between carbon steel welded to Type 304 stainless steel occur in fuel storage yokes exposed to the basin water. These welded couples have shown galvanic attack as well as hot weld cracking and intergranular cracking. The intergranular stress corrosion cracking is attributed to crevices formed during fabrication which allowed chlorides to concentrate.

Dirk, W.J.

1993-09-01T23:59:59.000Z

366

Petroleum geochemistry of the Zala basin, Hungary  

Science Conference Proceedings (OSTI)

The Zala basin is a subbasin within the Pannonian basis on Hungary. Oil and smaller amounts of gas are produced from Upper Triassic through Miocene reservoirs. Our geochemical study of oils and rocks in the basin indicate that two, and possibly three, genetic oil types are present in the basin. Miocene source rocks, previously believed by explorationists to be the predominant source rock, have expelled minor amounts of hydrocarbons. The main source rock is the Upper Triassic (Rhaetian) Koessen Marl Formation or its stratigraphic equivalent. Oils derived from the Triassic source rock are recognizable by their isotopic and biological marker composition, and high content of metals. In other areas of Europe, Upper Triassic source rocks have been correlated with large oil accumulations (e.g., Molassa and Villafortuna fields, Po basin, and other fields in Italy) or are postulated to be good potential source rocks (e.g., Bristol channel Trough). Knowledge of the geochemical characteristics of oils derived from these Upper Triassic source rocks and understanding of the source rock distribution and maturation history are important for recognizing Triassic oil-source bed relationships and for further exploration in other basins in Hungary and other parts of Europe where Triassic source rocks are present.

Clayton, J.L. (Geological Survey, Denver, CO (United States)); Koncz, I. (Hungarian Oil and Gas Corp., Nagykanizsa (Hungary))

1994-01-01T23:59:59.000Z

367

Buildings Energy Data Book: 8.5 Federal Government Water Usage  

Buildings Energy Data Book (EERE)

5 Federal Government Water Usage 5 Federal Government Water Usage March 2012 8.5.1 Federal Water Consumption Intensity and Costs (Millions of Gallons) Agency Total Source(s): 164,382.9 536,301.9 3,129,134.9 52.5 FEMP, Annual Report to Congress on Federal Government Energy Management and Conservation Programs FY 2007, Table 9, p. 26, Jan. 2010. HUD 21.8 139.1 1,432.0 15.2 RRB 5.5 19.5 346.9 15.9 SSA 125.0 617.1 9,262.0 13.5 Archives 107.9 552.9 4,062.0 26.6 State 169.0 762.2 4,476.7 37.8 EPA 168.1 1,196.0 3,723.3 45.2 Treasury 431.1 1,795.5 12,049.6 35.8 Commerce 352.1 1,571.2 13,627.9 25.8 TVA 733.0 2,248.2 27,969.8 26.2 DOT 464.1 3,002.8 25,722.1 18.0 DHS 1,522.8 12,442.9 45,556.7 33.4 Labor 1,029.0 4,816.3 20,335.8 50.6 NASA 2,036.5 5,085.8 38,896.2 52.4 HHS 1,799.7 11,814.7 31,338.4 57.4 GSA 2,651.2 18,104.9 176,414.5 15.0 USDA 2,150.9 4,876.0 57,480.9 37.4 USPS

368

The relationship between children's computer game usage and creativity in Korea  

E-Print Network (OSTI)

This study investigated the relationships among children?s creativity, computer games, natural play, TV, and their structured activities daily after school by the analysis of their time spent on computer games, and the other components with the Torrance Test of Creative Thinking (TTCT), using the statistical methods of MANOVA and SEM. Activity 5 of Verbal Form B and Activity 2 of Figural Forms B of the TTCT were used to measure students? verbal and figural creativity scores. Two hundreds and thirty eight 3rd and 6th grade students from one rural and one urban school in the Republic of Korea were studied. The study also examined whether any variables (i.e., gender, grade, location, achievement, genres of computer games and parental Social Economic Status) affected children?s creativity scores and computer game usage. Children using computer games heavily showed significantly higher scores on the scale of Figural Originality than those with moderate usage. Highly structured activity students had significantly higher scores on all Figural TTCT scales than did the moderately structured activity group. There was a significant location difference on Figural Originality and Figural Elaboration, parental SES, and time spent on TV. Time spent on free play did not show any differences on any TTCT scales. Time spent on TV was differently correlated with the Figural TTCT by parental SES. Third graders obtained significantly higher scores than 6th graders on all the Verbal TTCT and Figural Elaboration scales. In this study, the subjects showed a significant preference for Role Playing Game (RPG) and Casual games. Gender differences on preferences of game genres, time spent on computer games and starting period of computer use were found. The MANOVA among genres of computer games on the TTCT scores was significant. The path models showed that the parent factor had strong correlation with children?s figural creativity and the play factor was correlated more with verbal creativity.

Lee, Kyung-Sook

2005-12-01T23:59:59.000Z

369

Graphics Calculators In Developmental MathematicsPolicies And Practice: An Investigation Of Factors Affecting Instructors Classroom Usage In Tennessee Community Colleges.  

E-Print Network (OSTI)

??The purpose of this study was to investigate the frequency of Tennessee community college full-time developmental mathematics instructors classroom graphics calculator usage (percent of class (more)

Smith, Joyce Petty

2006-01-01T23:59:59.000Z

370

Origin Basin Destination State STB EIA STB EIA Northern Appalachian Basin  

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

Florida W $38.51 W $140.84 27.3% 134 W 100.0% Florida W $38.51 W $140.84 27.3% 134 W 100.0% Northern Appalachian Basin Georgia - W - W W W - W Northern Appalachian Basin Indiana W $16.14 W $63.35 25.5% 1,681 W 88.5% Northern Appalachian Basin Maryland $20.69 $19.60 -5.3% $74.23 26.4% 4,845 31.9% 97.7% Northern Appalachian Basin Michigan $13.74 $16.13 17.4% $99.82 16.2% 840 32.1% 100.0% Northern Appalachian Basin New Hampshire W $40.18 W $94.03 42.7% 699 W 100.0% Northern Appalachian Basin New Jersey W $32.44 W $89.13 36.4% 1,064 W 47.6% Northern Appalachian Basin New York $21.87 $18.86 -13.8% $59.40 31.7% 2,373 49.3% 91.9%

371

Origin Basin Destination State STB EIA STB EIA Northern Appalachian Basin  

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

Delaware W $28.49 W $131.87 21.6% 59 W 100.0% Delaware W $28.49 W $131.87 21.6% 59 W 100.0% Northern Appalachian Basin Florida W - - - - - - - Northern Appalachian Basin Indiana W $20.35 W $64.82 31.4% 1,715 W 75.9% Northern Appalachian Basin Maryland $19.73 $19.64 -0.4% $81.15 24.2% 4,650 24.8% 99.3% Northern Appalachian Basin Michigan W $14.02 W $76.22 18.4% 713 W 100.0% Northern Appalachian Basin New Hampshire W $43.43 W $90.90 47.8% 499 W 89.6% Northern Appalachian Basin New Jersey W $27.19 W $74.81 36.3% 1,864 W 44.1% Northern Appalachian Basin New York $20.08 $15.26 -24.0% $53.68 28.4% 3,726 39.2% 79.1%

372

Sediment Basin Flume | Open Energy Information  

Open Energy Info (EERE)

Sediment Basin Flume Sediment Basin Flume Jump to: navigation, search Basic Specifications Facility Name Sediment Basin Flume Overseeing Organization University of Iowa Hydrodynamic Testing Facility Type Flume Length(m) 22.7 Beam(m) 5.1 Depth(m) 1.2 Cost(per day) Contact POC Special Physical Features Two pumps provide up to 18 cfs of flow capacity Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities None Channel/Tunnel/Flume Channel/Tunnel/Flume Yes Recirculating No Wind Capabilities Wind Capabilities None Control and Data Acquisition Cameras None Available Sensors Acoustics, Flow, Thermal, Turbulence, Velocity Data Generation Capability Real-Time Yes Test Services Test Services Yes On-Site fabrication capability/equipment Machine shop, carpenter shop, welding shop, instrumentation and electronics shop

373

Dan Klempel Basin Electric Power Cooperative DOE  

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

Dan Dan Klempel Basin Electric Power Cooperative DOE 2009 Congestion Study Workshop Oklahoma City, Oklahoma June 18, 2008 Page 1 of 5 Basin Electric Power Cooperative would like to thank the Department of Energy for this opportunity to share some of our thoughts on transmission congestion issues. Basin Electric is a wholesale power supplier to rural electric cooperatives located in the mid-west and in both the east and west interconnections. Naturally, our generation and transmission facilities also reside in both interconnections so we use asynchronous back-to-back DC facilities to balance loads with resources. With headquarters in Bismarck, North Dakota; we find ourselves in the heart of some of the nations most desirable wind patterns for potential renewable energy development as well as electric energy production from more traditional sources. Lignite coal has been a reliable

374

Hinsdale Wave Basin 2 | Open Energy Information  

Open Energy Info (EERE)

Wave Basin 2 Wave Basin 2 Jump to: navigation, search Basic Specifications Facility Name Hinsdale Wave Basin 2 Overseeing Organization Oregon State University Hydrodynamics Length(m) 48.8 Beam(m) 26.5 Depth(m) 2.1 Water Type Freshwater Cost(per day) $3500 Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.8 Maximum Wave Height(m) at Wave Period(s) 10.0 Wave Period Range(s) 10.0 Current Velocity Range(m/s) 0.0 Programmable Wavemaking Yes Wavemaking Description Monochromatic waves (cnoidal, Stokes, Airy), solitary waves, user-defined free surface timeseries or board displacement timeseries for random waves Wave Direction Both Simulated Beach Yes Description of Beach Built to client specifications, currently rigid concrete over gravel fill

375

SWP.SanJuanBasin.factsheet0919  

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

Principal Investigator Reid Grigg/Brian McPherson NMT reid@prrc.nmt.edu / brian@nmt.edu Field Test Information: Field Test Name San Juan Basin, New Mexico: Enhanced Coalbed Methane-Sequestration Test Test Location Near Navajo City, New Mexico Amount and Source of CO 2 Tons Source 20,000 - 35,000 tons; CO2 sourced from McElmo Dome, CO ConocoPhillips KinderMorgan CO 2 Company, L.P. Field Test Partners (Primary Sponsors) Summary of Field Test Site and Operations General Geology and Target Reservoirs: The San Juan basin (SJB) is one of the top ranked basins in the world for CO 2 coalbed sequestration because it has: 1) advantageous geology and high methane content; 2) abundant anthropogenic CO

376

Configuration Management Plan for K Basins  

SciTech Connect

This plan describes a configuration management program for K Basins that establishes the systems, processes, and responsibilities necessary for implementation. The K Basins configuration management plan provides the methodology to establish, upgrade, reconstitute, and maintain the technical consistency among the requirements, physical configuration, and documentation. The technical consistency afforded by this plan ensures accurate technical information necessary to achieve the mission objectives that provide for the safe, economic, and environmentally sound management of K Basins and the stored material. The configuration management program architecture presented in this plan is based on the functional model established in the DOE Standard, DOE-STD-1073-93, {open_quotes}Guide for Operational Configuration Management Program{close_quotes}.

Weir, W.R.; Laney, T.

1995-01-27T23:59:59.000Z

377

Southern Colombia's Putumayo basin deserves renewed attention  

Science Conference Proceedings (OSTI)

The Putumayo basin lies in southern Colombia between the Eastern Cordillera of the Andes and the Guyana-Brazilian shield. It covers about 50,000 sq km between 0--3[degree]N. Lat. and 74--77[degree]W. Long. and extends southward into Ecuador and Peru as the productive Oriente basin. About 3,500 sq km of acreage in the basin is being offered for licensing in the first licensing round by competitive tender. A recent review of the available data from this area by Intera and Ecopetrol suggests that low risk prospects and leads remain to be tested. The paper describes the tectonic setting, stratigraphy, structure, hydrocarbon geology, reservoirs, and trap types.

Matthews, A.J. (Intera Information Technologies Ltd., Henley (United Kingdom)); Portilla, O. (Ecopetrol, Bogota (Colombia))

1994-05-23T23:59:59.000Z

378

The Transmission of Rossby Waves through Basin Barriers  

Science Conference Proceedings (OSTI)

The response of a basin with a topographic barrier to spatially localized and time periodic forcing is considered. The barrier, which almost completely divides the full basin into two adjacent subbasins, is offered as a model of either a ...

Joseph Pedlosky

2000-03-01T23:59:59.000Z

379

Climatic Aspects of the 1993 Upper Mississippi River Basin Flood  

Science Conference Proceedings (OSTI)

The 1993 record-breaking summer flood in the Upper Mississippi River Basin resulted from an unprecedentedly persistent heavy rain pattern. Rainfall totals for the Upper Mississippi River Basin were, by a large margin, the largest of this century ...

Kenneth E. Kunkel; Stanley A. Changnon; James R. Angel

1994-05-01T23:59:59.000Z

380

Southern Basin and Range Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Basin and Range Geothermal Region Basin and Range Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Southern Basin and Range Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) Map: {{{Name}}} North-south-striking and west-dipping Basin and Range province normal faults form the western edge of the Sierra Madre Occidental plateau in northeastern Sonora. These faults and associated half-grabens extend over a distance of more than 300 km between the San Bernardino basin in the north and the Sahuaripa basin in the south. Active Tectonics of Northeastern Sonora, Mexico (Southern Basin and Range Province) and the 3 May 1887 Mw 7.4 Earthquake [1] References ↑ "Active Tectonics of Northeastern Sonora, Mexico (Southern Basin and Range Province) and the 3 May 1887 Mw 7.4 Earthquake"

Note: This page contains sample records for the topic "usage ventura basin" 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

YAKIMA BASIN JOINT BOARD A Partnership of Public Entities Promoting  

E-Print Network (OSTI)

YAKIMA BASIN JOINT BOARD A Partnership of Public Entities Promoting the Multiple Uses of the Yakima for the opportunity to comment. Sincerely, Jim Trull, President Yakima Basin Joint Board #12;

382

Hydraulically Drained Flows in Rotating Basins. Part II: Steady Flow  

Science Conference Proceedings (OSTI)

The slow, horizontal circulation in a deep, hydraulically drained basin is discussed within the context of reduced-gravity dynamics. The basin may have large topographic variations and is fed from above or from the sides by mass sources. ...

Lawrence J. Pratt

1997-12-01T23:59:59.000Z

383

Criticality safety evaluation for K Area Disassembly Basin cleanup  

SciTech Connect

Preparations are currently being made to remove sludge from the Disassembly Basin in all reactor areas. Because this sludge contains fissile isotopes, it is necessary to perform a criticality safety evaluation for the planned activities. A previous evaluation examined the criticality safety aspects of the sludge removal process for L Area. This document addresses the criticality safety aspects of the K Area Disassembly Basin cleanup work. The K Area Disassembly Basin cleanup will involve, as a first step, pumping the basin sludge into the Monitor Basin portion of the Disassembly Basin. From the Monitor Basin, the sludge will be pumped into tanks or containers for permanent disposition. The criticality safety evaluation discussed in this document covers the transfer of the sludge to the Monitor Basin.

Rosser, M.A.

1994-02-01T23:59:59.000Z

384

K West basin isolation barrier leak rate test  

SciTech Connect

This document establishes the procedure for performing the acceptance test on the two isolation barriers being installed in K West basin. This acceptance test procedure shall be used to: First establish a basin water loss rate prior to installation of the two isolation barriers between the main basin and the discharge chute in K-Basin West. Second, perform an acceptance test to verify an acceptable leakage rate through the barrier seals.

Whitehurst, R.; McCracken, K.; Papenfuss, J.N.

1994-10-31T23:59:59.000Z

385

Geographic Information System At Northern Basin & Range Region...  

Open Energy Info (EERE)

navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geographic Information System At Northern Basin & Range Region (Blewitt, Et Al., 2003) Exploration...

386

Geographic Information System At Nw Basin & Range Region (Nash...  

Open Energy Info (EERE)

navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geographic Information System At Nw Basin & Range Region (Nash & Johnson, 2003) Exploration Activity...

387

Geographic Information System At Northern Basin & Range Region...  

Open Energy Info (EERE)

navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geographic Information System At Northern Basin & Range Region (Nash & Johnson, 2003) Exploration Activity...

388

Hanford K-Basin Sludge Characterization Overview February 2005  

E-Print Network (OSTI)

Hanford K-Basin Sludge Characterization Overview February 2005 1 Hanford K-Basin Sludge Characterization Overview February 2005 1. Summary The Hanford K-East and K-West Basins were used to store of the irradiated fuel reprocessing facility at Hanford (the PUREX facility) the N-Reactor irradiated fuel remained

389

Western Gas Sands Project. Quarterly basin activities report  

SciTech Connect

A summation is presented of the coring program site identification, and drilling and testing activity in the four primary study areas of the Western Gas Sands Project (WGSP). Pertinent information for January, February, and March, 1978 is included for each study area. The areas are the Northern Great Plains Province, the Greater Green River Basin, the Piceance Basin, and the Uinta Basin.

1978-04-01T23:59:59.000Z

390

Pricing Experiments for a Computer-Telephony-Service Usage Allocation Jimmy S. Shih, Randy H. Katz, Anthony D. Joseph  

E-Print Network (OSTI)

Pricing Experiments for a Computer-Telephony-Service Usage Allocation Jimmy S. Shih, Randy H. Katz, Anthony D. Joseph Department of Electrical Engineering and Computer Science University of California to entice users to talk less, talk at another time, or use a lower quality connection. With our token scheme

Joseph, Anthony D.

391

Impact of 3G and beyond technology development and pricing on mobile data service provisioning, usage and diffusion  

Science Conference Proceedings (OSTI)

This study investigates the third generation mobile telecommunication systems (3G) diffusion challenges in the situation where large-scale mobile data service usage has not yet broken through. The paper first analyzes incumbent mobile operator business ... Keywords: 3G mobile services, Business models, Flat rate pricing, L96, O33, Techno-economics, Telecommunication

Jarmo Harno

2010-08-01T23:59:59.000Z

392

BASIN ANALYSIS AND PETROLEUM SYSTEM CHARACTERIZATION AND MODELING, INTERIOR SALT BASINS, CENTRAL AND EASTERN GULF OF MEXICO  

SciTech Connect

The principal research effort for Year 3 of the project is basin modeling and petroleum system identification, comparative basin evaluation and resource assessment. In the first six (6) months of Year 3, the research focus is on basin modeling and petroleum system identification and the remainder of the year the emphasis is on the comparative basin evaluation and resource assessment. No major problems have been encountered to date, and the project is on schedule.

Ernest A. Mancini; Donald A. Goddard

2005-08-01T23:59:59.000Z

393

OTRC Wave Basin | Open Energy Information  

Open Energy Info (EERE)

OTRC Wave Basin OTRC Wave Basin Jump to: navigation, search Basic Specifications Facility Name OTRC Wave Basin Overseeing Organization Texas A&M (OTRC) Hydrodynamic Testing Facility Type Wave Basin Length(m) 45.7 Beam(m) 30.5 Depth(m) 5.8 Water Type Freshwater Cost(per day) $300/hour (excluding labor) Special Physical Features 4.6m wide x 9.1m long x 16.8m deep pit with adjustable depth floor in test area Towing Capabilities Towing Capabilities Yes Maximum Velocity(m/s) 0.6 Length of Effective Tow(m) 27.4 Wavemaking Capabilities Wavemaking Capabilities Yes Maximum Wave Height(m) 0.9 Maximum Wave Height(m) at Wave Period(s) 4.0 Maximum Wave Length(m) 25 Wave Period Range(s) 4.0 Current Velocity Range(m/s) 0.6 Programmable Wavemaking Yes Wavemaking Description GEDAP 3D wave generation software, 48 hinged flap wave generator

394

Active oil shale operations: Eastern Uinta Basin  

SciTech Connect

A Utah Geological and Mineral survey Map of the Eastern Uinta Basin is presented. Isopach lines for the Mahogany oil shale are given, along with the locations of active oil shale operations and the land ownership (i.e. federal, state, or private).

Ritzma, H.R.

1980-01-01T23:59:59.000Z

395

Summary - K Basins Sludge Treatment Process  

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

K Basin K Basin DOE is Proces the va at Han subsys oxidati objecti of-fact maturi Eleme Techn The as which seven * M * M * Pr * Pr * As The Ele Site: H roject: K P Report Date: A ited States Why DOE ns Sludge Treatme s constructing ss (STP) for re rious sludge st nford. The STP stems: sludge ion, assay, pac ive of the asse t" appraisal of t ty by first ident ents (CTEs) of t ology Readine What th ssessment team was further div CTEs and the Material Mobiliza Material Transfe rocess Chemis rocess Instrum ssay (TRL=2) To view the full T http://www.em.doe. objective of a Tech ements (CTEs), usin Hanford/ORP K Basins Slud Process/STP August 2007 Departmen K Bas E-EM Did This ent Process Flow D a K Basins Slu trieving, treatin treams stored i P is comprised containerizatio ckaging, and dr ssment was to the project's ov

396

KE Basin underwater visual fuel survey  

SciTech Connect

Results of an underwater video fuel survey in KE Basin using a high resolution camera system are presented. Quantitative and qualitative information on fuel degradation are given, and estimates of the total fraction of ruptured fuel elements are provided. Representative photographic illustrations showing the range of fuel conditions observed in the survey are included.

Pitner, A.L.

1995-02-01T23:59:59.000Z

397

Delaware River Basin Commission (Multiple States) | Department of Energy  

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

Delaware River Basin Commission (Multiple States) Delaware River Basin Commission (Multiple States) Delaware River Basin Commission (Multiple States) < Back Eligibility Utility Commercial Agricultural Investor-Owned Utility State/Provincial Govt Industrial Construction Municipal/Public Utility Local Government Installer/Contractor Rural Electric Cooperative Tribal Government Systems Integrator Savings Category Water Buying & Making Electricity Home Weatherization Program Info Start Date 1961 State Delaware Program Type Environmental Regulations Siting and Permitting Provider Project Review Section The Delaware River Basin Commission (DRBC) is a federal-interstate compact government agency that was formed by concurrent legislation enacted in 1961 by the United States and the four basin states (Pennsylvania, New York, New

398

Rappahannock River Basin Commission (Virginia) | Department of Energy  

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

Rappahannock River Basin Commission (Virginia) Rappahannock River Basin Commission (Virginia) Rappahannock River Basin Commission (Virginia) < 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 Virginia Program Type Siting and Permitting Provider Rappahannock River Basin Commission The Rappahannock River Basin Commission is an independent local entity

399

Interstate Commission on the Potomac River Basin (Multiple States) |  

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

Interstate Commission on the Potomac River Basin (Multiple States) Interstate Commission on the Potomac River Basin (Multiple States) Interstate Commission on the Potomac River Basin (Multiple States) < Back Eligibility Commercial Construction Industrial Investor-Owned Utility Local Government Municipal/Public Utility Rural Electric Cooperative Systems Integrator Tribal Government Utility Savings Category Water Buying & Making Electricity Home Weatherization Program Info State District of Columbia Program Type Environmental Regulations Siting and Permitting Provider Interstate Commission on the Potomac River Basin The Interstate Commission on the Potomac River Basin's (ICPRB) mission is to enhance, protect, and conserve the water and associated land resources of the Potomac River and its tributaries through regional and interstate

400

Okanogan Basin Spring Spawner Report for 2007.  

DOE Green Energy (OSTI)

The Okanogan Basin Monitoring and Evaluation Program collected data related to spring spawning anadromous salmonid stocks across the entire Okanogan River basin. Data were collected using redd surveys, traps, underwater video, and PIT-tag technology then summarized and analyzed using simple estimate models. From these efforts we estimated that 1,266 summer steelhead spawned in the Okanogan River basin and constructed 552 redds;152 of these fish where of natural origin. Of these, 121 summer steelhead, including 29 of natural origin, created an estimated 70 redds in the Canadian portion of the Okanagan basin. We estimated summer steelhead spawner escapement into each sub-watershed along with the number from natural origin and the number and density of redds. We documented redd desiccation in Loup Loup Creek, habitat utilization in Salmon Creek as a result of a new water lease program, and 10 spring Chinook returning to Omak Creek. High water through most of the redd survey period resulted in development of new modeling techniques and allowed us to survey additional tributaries including the observation of summer steelhead spawning in Wanacut Creek. These 2007 data provide additional support that redd surveys conducted within the United States are well founded and provide essential information for tracking the recovery of listed summer steelhead. Conversely, redd surveys do not appear to be the best approach for enumerating steelhead spawners or there distribution within Canada. We also identified that spawning distributions within the Okanogan River basin vary widely and stocking location may play an over riding roll in this variability.

Colville Tribes, Department of Fish & Wildlife

2007-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage ventura basin" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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to obtain the most current and comprehensive results.


401

Ribosome collisions and Translation efficiency: Optimization by codon usage and mRNA destabilization  

E-Print Network (OSTI)

Individual mRNAs are translated by multiple ribosomes that initiate translation with a few seconds interval. The ribosome speed is codon dependant, and ribosome queuing has been suggested to explain specific data for translation of some mRNAs in vivo. By modelling the stochastic translation process as a traffic problem, we here analyze conditions and consequences of collisions and queuing. The model allowed us to determine the on-rate (0.8 to 1.1 initiations per sec) and the time (1 sec) the preceding ribosome occludes initiation for Escherichia coli lacZ mRNA in vivo. We find that ribosome collisions and queues are inevitable consequences of a stochastic translation mechanism that reduce the translation efficiency substantially on natural mRNAs. The cells minimize collisions by having its mRNAs being unstable and by a highly selected codon usage in the start of the mRNA. The cost of mRNA breakdown is offset by the concomitant increase in translational efficiency.

Namiko Mitarai; Kim Sneppen; Steen Pedersen

2008-09-25T23:59:59.000Z

402

Health, safety and environmental issues relating to cadmium usage in photovoltaic energy systems  

DOE Green Energy (OSTI)

This paper discusses the current technology base and hazards associated with two promising thin-film photovoltaic cells that contain cadmium compounds -- cadmium telluride (CdTe) and copper indium diselenide (CuInSe{sub 2}). More specifically, this paper summarizes the toxicological information on cadmium (Cd) compounds; evaluates potential health, safety and environmental hazards associated with cadmium usage in the photovoltaics industry; describes regulatory requirements associated with the use, handling and disposal of cadmium compounds; and lists management options to permit the safe and continued use of these materials. Handling of cadmium in photovoltaic production can present hazards to health, safety and the environment. Prior recognition of these hazards can allow device manufacturers and regulators to implement appropriate and readily available hazard management strategies. Hazards associated with product use (i.e., array fires) and disposal remain controversial and partially unresolved. The most likely effects that could be expected would be those associated with chronic low-level exposures to cadmium wastes. Because of the general immobility of the cadmium present in these devices and availability of environmental and biomonitoring protocols, chronic hazards can be monitored, and remediated if necessary. Nevertheless, concern about cadmium hazards should continue to be emphasized to ensure that health, safety and environmental issues are properly managed. At the same time, the potential role that these systems can play in ameliorating some important health and environmental hazards related to other energy systems should not be ignored. 27 refs., 5 figs., 2 tabs.

Moskowitz, P.D.; Fthenakis, V.M. (Brookhaven National Lab., Upton, NY (USA)); Zweibel, K. (Solar Energy Research Inst., Golden, CO (USA))

1989-12-01T23:59:59.000Z

403

Health, safety and environmental issues relating to cadmium usage in photovoltaic energy systems  

DOE Green Energy (OSTI)

This paper discusses the current technology base and hazards associated with two promising thin-film photovoltaic cells that contain cadmium compounds--cadmium telluride (CdTe) and copper indium deselenide (CuInSe{sub 2}). More specifically, this paper summarized the toxicological information on cadmium (Cd) compounds;evaluates potential health, safety and environmental hazards associated with cadmium usage in the photovoltaics industry; describes regulatory requirements associated with the use, handling and disposal of cadmium compounds; and lists management options to permit the safe and continued use of these materials. Handling of cadmium in photovoltaic production can present hazards to health, safety and the environment. Prior recognition of these hazards can allow device manufacturers and regulators to implement appropriate and readily available hazard management strategies. Hazards associated with product use (i.e., array fires) and disposal remain controversial and partially unresolved. The most likely effects that could be expected would be those associated with chronic low-level exposures to cadmium wastes. Because of the general immobility of the cadmium present in these devices and availability of environmental and biomonitoring protocols, chronic hazards can be monitored, and remediated if necessary. 26 refs., 5 figs., 2 tabs.

Moskowitz, P.D.; Fthenakis, V.M. (Brookhaven National Lab., Upton, NY (USA)); Zweibel, K. (Solar Energy Research Inst., Golden, CO (USA))

1990-01-01T23:59:59.000Z

404

CDF GlideinWMS usage in grid computing of high energy physics  

SciTech Connect

Many members of large science collaborations already have specialized grids available to advance their research in the need of getting more computing resources for data analysis. This has forced the Collider Detector at Fermilab (CDF) collaboration to move beyond the usage of dedicated resources and start exploiting Grid resources. Nowadays, CDF experiment is increasingly relying on glidein-based computing pools for data reconstruction. Especially, Monte Carlo production and user data analysis, serving over 400 users by central analysis farm middleware (CAF) on the top of Condor batch system and CDF Grid infrastructure. Condor is designed as distributed architecture and its glidein mechanism of pilot jobs is ideal for abstracting the Grid computing by making a virtual private computing pool. We would like to present the first production use of the generic pilot-based Workload Management System (glideinWMS), which is an implementation of the pilot mechanism based on the Condor distributed infrastructure. CDF Grid computing uses glideinWMS for its data reconstruction on the FNAL campus Grid, user analysis and Monte Carlo production across Open Science Grid (OSG). We review this computing model and setup used including CDF specific configuration within the glideinWMS system which provides powerful scalability and makes Grid computing working like in a local batch environment with ability to handle more than 10000 running jobs at a time.

Zvada, Marian; /Fermilab /Kosice, IEF; Benjamin, Doug; /Duke U.; Sfiligoi, Igor; /Fermilab

2010-01-01T23:59:59.000Z

405

Ammonia usage in vapor compression for refrigeration and air-conditioning in the United States  

SciTech Connect

The impending phaseout of CFCs and HCFCs has led to a worldwide search for refrigerants that can provide equivalent performance while not damaging the environment. Long used as a working fluid in industrial and large-scale refrigeration, ammonia provides high efficiency, low initial cost, and no detrimental impact to the environment. However, its toxicity and flammability, along with technical considerations and increased operating costs, deter its use in many refrigeration and cooling applications. Utilization of ammonia in applications where its safety considerations and technical concerns can be addressed provides the best growth opportunity for adoption as a replacement refrigerant. Applications such as district or large-scale cooling, thermal storage, packaged systems, and combined systems hold promise for increased usage of ammonia. Ongoing research and development are providing solutions to technical considerations, and innovations in safety and containment of ammonia are addressing those particular concerns, but code restrictions and regulations present the greatest barrier to wider adoption of ammonia as an alternate refrigerant in the US To encourage wider use, future efforts will need to continue on improved safety and more efficient design, along with an increased emphasis on educating and informing industry and the public about the advantages ammonia and the factors restricting its use.

Fairchild, P.D.; Baxter, V.D.

1995-12-31T23:59:59.000Z

406

c007.chp:Corel VENTURA  

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

September September 1998 2 Prime Supplier Sales Volumes of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products April 1998 May 1998 June 1998 July 1998 August 1998 September 1998 Cumulative Year To Date 1997 Cumulative Year To Date 1998 Adjusted Year To Date % Change 1 United States Motor Gasoline ......................... 10,610,961 11,050,072 11,122,985 11,574,440 11,361,574 10,744,656 93,964,635 96,549,545 2.8 Regular .................................... 7,582,161 7,880,019 7,944,320 8,207,736 8,034,715 7,602,564 67,296,190 68,662,550 2.0 Conventional ........................... 5,060,136 5,276,193 5,366,477 5,552,097 5,403,924 5,083,172 45,547,967 45,575,903 0.1 Oxygenated ............................ 183,304 185,744 196,783 186,843 181,571 199,535 1,719,120

407

TABLE17.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

7. 7. Refinery Net Production of Finished Petroleum Products by PAD and Refining Districts, January 1998 Liquefied Refinery Gases ........................................... 576 -7 569 2,415 -51 392 2,756 Ethane/Ethylene ..................................................... 0 0 0 0 0 0 0 Ethane ............................................................... W W W W W W W Ethylene ............................................................ W W W W W W W Propane/Propylene ................................................ 1,656 33 1,689 2,645 329 628 3,602 Propane ............................................................. W W W 1,979 W W W Propylene .......................................................... W W W 666 W W W Normal Butane/Butylene ........................................ -804 -39 -843 -320 -337 -180 -837 Normal Butane ..................................................

408

table04.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

4. 4. PAD District I-Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum Products, January 1998 Crude Oil ........................................... 824 - 53,357 -2,000 -89 5,262 0 46,830 0 0 16,235 Natural Gas Liquids and LRGs ........ 829 569 1,233 - 4,737 -869 - 252 24 7,961 5,223 Pentanes Plus ................................ 79 - 0 - 0 7 - 0 1 71 19 Liquefied Petroleum Gases ............ 750 569 1,233 - 4,737 -876 - 252 24 7,889 5,204 Ethane/Ethylene ........................ 262 0 0 - 0 0 - 0 0 262 0 Propane/Propylene .................... 334 1,689 1,206 - 4,630 -262 - 0 20 8,101 4,043 Normal Butane/Butylene ............ 116 -843 27 - 107 -548 - 162 3 -210 821 Isobutane/Isobutylene ................ 38 -277 0 - 0 -66 - 90 0 -263 340 Other Liquids .................................... -272 - 5,668 - 350 537 - 7,268 17 -2,076 19,354 Other Hydrocarbons/Oxygenates ... 1,973

409

c007.chp:Corel VENTURA  

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

April April 1998 2 Prime Supplier Sales Volumes of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products November 1997 December 1997 January 1998 February 1998 March 1998 April 1998 Cumulative Year To Date 1997 Cumulative Year To Date 1998 Adjusted Year To Date % Change 1 United States Motor Gasoline ......................... 10,143,551 10,826,964 10,047,308 9,380,747 10,656,802 10,623,119 39,940,408 40,707,976 1.9 Regular .................................... 7,277,667 7,726,152 7,148,868 6,693,799 7,568,368 7,590,321 28,635,725 29,001,356 1.3 Conventional ........................... 4,682,550 4,963,896 4,563,601 4,300,943 4,969,360 5,069,150 19,138,480 18,903,054 -1.2 Oxygenated ............................ 359,994 386,009 365,693 317,923 252,846 183,287

410

table09.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

3,434 3,434 - 5,080 -9 -1,729 230 0 6,546 0 0 Natural Gas Liquids and LRGs ....... 1,272 347 65 - -68 -208 - 229 29 1,566 Pentanes Plus .................................. 188 - 33 - -5 30 - 66 0 119 Liquefied Petroleum Gases .............. 1,084 347 31 - -63 -238 - 163 29 1,446 Ethane/Ethylene ........................... 503 24 18 - 112 -52 - 0 0 709 Propane/Propylene ....................... 363 301 4 - -158 -120 - 0 21 610 Normal Butane/Butylene .............. 76 3 6 - -11 -89 - 100 8 54 Isobutane/Isobutylene ................... 142 19 4 - -6 22 - 63 0 73 Other Liquids .................................... 172 - 223 - -73 82 - 216 65 -41 Other Hydrocarbons/Oxygenates .... 149 - 1 - 0 6 - 97 46 0 Unfinished Oils ................................. - - 221 - 4 72 - 195 0 -41 Motor Gasoline Blend. Comp. .......... 23 - 1 - -77 4 - -76 19 0 Aviation Gasoline Blend. Comp. ....... - - 0 - 0 (s) - (s) 0 0 Finished Petroleum Products

411

TABLE15.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

5. 5. Natural Gas Plant Net Production and Stocks of Petroleum Products by PAD and Refining PAD District I PAD District II Commodity East Appalachian Minn., Wis., Okla., Kans., Coast No. 1 Total Ind., Ill., Ky. N. Dak., S. Dak. Mo. Total Net Production Net Production Stocks Stocks Districts, (Thousand Barrels) PAD District III PAD Dist. PAD Dist. Commodity IV V Texas La. Texas Gulf Gulf N. La., New U.S. Inland Coast Coast Ark. Mexico Total Rocky Mt. West Coast Total January 1998 Natural Gas Liquids .................................................. 140 689 829 599 322 7,842 8,763 Pentanes Plus ......................................................... 11 68 79 109 81 956 1,146 Liquefied Petroleum Gases .................................... 129 621 750 490 241 6,886 7,617 Ethane ................................................................ 51 211 262 144 0 2,765 2,909

412

TABLE16.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

6. 6. Refinery Input of Crude Oil and Petroleum Products by PAD and Refining Districts, January 1998 Crude Oil ................................................................... 44,047 2,783 46,830 70,320 12,891 21,794 105,005 Natural Gas Liquids ................................................. 252 0 252 2,613 131 1,076 3,820 Pentanes Plus ....................................................... 0 0 0 202 45 522 769 Liquefied Petroleum Gases ................................... 252 0 252 2,411 86 554 3,051 Ethane ............................................................... 0 0 0 0 0 0 0 Propane ............................................................. 0 0 0 0 0 0 0 Normal Butane .................................................. 162 0 162 1,792 76 435 2,303 Isobutane ..........................................................

413

c007.chp:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

... 4,064,970 4,549,818 4,432,273 4,070,891 4,560,025 4,111,111 17,427,456 17,174,300 -1.5 No. 2 Fuel Oil ... 1,051,406 1,402,553 1,334,923...

414

c007.chp:Corel VENTURA  

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

... 2,397,064 2,235,123 2,376,247 2,219,574 2,074,933 2,349,456 6,319,392 6,643,963 5.1 Midgrade ... 1,267,964 1,184,980...

415

c007.chp:Corel VENTURA  

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

... 1,388,614 1,556,914 1,555,473 1,576,337 1,575,396 1,636,658 10,480,456 10,765,616 2.7 Oxygenated ... - - - - - - - - - Reformulated...

416

c007.chp:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products August 1997 September 1997 October 1997 November 1997 December 1997 January...

417

c007.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products September 1998 October 1998 November 1998 December 1998 January 1999...

418

c007.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products July 1998 August 1998 September 1998 October 1998 November 1998 December...

419

c007.chp:Corel VENTURA  

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

of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products January 1998 February 1998 March 1998 April 1998 May 1998 June 1998...

420

c007.chp:Corel VENTURA  

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

of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products August 1998 September 1998 October 1998 November 1998 December 1998 January...

Note: This page contains sample records for the topic "usage ventura basin" 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

c007.chp:Corel VENTURA  

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

of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products December 1997 January 1998 February 1998 March 1998 April 1998 May 1998...

422

c007.chp:Corel VENTURA  

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

of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products April 1998 May 1998 June 1998 July 1998 August 1998 September 1998...

423

c007.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products March 1998 April 1998 May 1998 June 1998 July 1998 August 1998 Cumulative...

424

TABLE34.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

Oils ... 36 0 0 36 227 0 0 0 Motor Gasoline Blending Components ... 0 32 0 0 0 0 381 0 Finished Motor...

425

c007.chp:Corel VENTURA  

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

May May 1998 2 Prime Supplier Sales Volumes of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products December 1997 January 1998 February 1998 March 1998 April 1998 May 1998 Cumulative Year To Date 1997 Cumulative Year To Date 1998 Adjusted Year To Date % Change 1 United States Motor Gasoline ......................... 10,826,964 10,047,308 9,380,747 10,656,802 10,610,961 11,052,690 50,710,406 51,748,508 2.0 Regular .................................... 7,726,152 7,148,868 6,693,799 7,568,368 7,582,161 7,881,479 36,329,353 36,874,675 1.5 Conventional ........................... 4,963,896 4,563,601 4,300,943 4,969,360 5,060,136 5,277,653 24,409,850 24,171,693 -1.0 Oxygenated ............................ 386,009 365,693 317,923 252,846 183,304 185,744 1,124,465

426

c007.chp:Corel VENTURA  

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

January January 1999 2 Prime Supplier Sales Volumes of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products August 1998 September 1998 October 1998 November 1998 December 1998 January 1999 Cumulative Year To Date 1998 Cumulative Year To Date 1999 Adjusted Year To Date % Change 1 United States Motor Gasoline ......................... 11,361,574 10,756,677 11,218,355 10,469,445 11,107,600 9,938,801 10,047,308 9,938,801 -1.1 Regular .................................... 8,034,715 7,610,549 7,930,901 7,354,578 7,765,179 6,902,428 7,148,868 6,902,428 -3.4 Conventional ........................... 5,403,924 5,042,027 5,215,578 4,741,242 5,010,689 4,373,570 4,563,601 4,373,570 -4.2 Oxygenated ............................ 181,571 248,076 329,621 385,740 407,637 397,314

427

art9907.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

Monthly Monthly PSA API OGJ NGD Million Million Percent Million Percent Million Percent Year Barrels Barrels of PSA Barrels of PSA Barrels of PSA 1997 2,355 2,326 98.8 2,330 98.9 2,312 98.2 1996 2,366 2,356 99.6 2,370 100.2 2,335 98.7 1995 2,394 2,382 99.5 2,393 100.0 2,358 98.5 1994 2,431 2,424 99.7 2,438 100.3 2,425 99.8 1993 2,499 2,504 100.2 2,520 100.8 2,492 99.7 1992 2,625 2,608 99.4 2,630 100.2 2,593 98.8 1991 2,707 2,687 99.3 2,692 99.4 2,665 98.4 1990 2,685 2,634 98.1 2,668 99.4 2,663 99.2 1989 2,779 2,781 100.1 2,834 102.0 2,751 99.0 1988 2,979 2,967 99.6 3,013 101.1 2,973 99.8 Table FE1. A Comparison of Data Series for Crude Oil Production, 1988-1997 Sources: PSA: Petroleum Supply Annual, 1988 through 1997, Table 2. API: American Petroleum Institute, Monthly Statistical Report, 1988 through 1997. OGJ: Oil and Gas Journal, 1988 through 1997. NGD: U.S. Crude Oil, Natural Gas, and Natural

428

table06.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

7,308 7,308 - 27,686 -2,263 59,993 -3,449 0 105,005 1,168 0 70,132 Natural Gas Liquids and LRGs ......... 8,763 2,756 3,599 - 265 -6,499 - 3,820 752 17,310 23,020 Pentanes Plus ................................... 1,146 - 42 - 519 214 - 769 455 269 1,988 Liquefied Petroleum Gases ............... 7,617 2,756 3,557 - -254 -6,713 - 3,051 297 17,041 21,032 Ethane/Ethylene ............................ 2,909 0 12 - -2,215 -110 - 0 0 816 2,868 Propane/Propylene ....................... 3,095 3,602 2,661 - 968 -4,799 - 0 96 15,029 13,173 Normal Butane/Butylene ............... 1,156 -837 486 - 571 -1,497 - 2,303 201 369 3,305 Isobutane/Isobutylene ................... 457 -9 398 - 422 -307 - 748 0 827 1,686 Other Liquids ..................................... 738 - 0 - 1,171 1,228 - 1,429 11 -759 26,014 Other Hydrocarbons/Oxygenates ..... 1,380 - 0 - 0 225 - 1,144 11 0 2,175 Unfinished Oils ..................................

429

table07.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

558 558 - 893 -73 1,935 -111 0 3,387 38 0 Natural Gas Liquids and LRGs ....... 283 89 116 - 9 -210 - 123 24 558 Pentanes Plus .................................. 37 - 1 - 17 7 - 25 15 9 Liquefied Petroleum Gases .............. 246 89 115 - -8 -217 - 98 10 550 Ethane/Ethylene ........................... 94 0 (s) - -71 -4 - 0 0 26 Propane/Propylene ....................... 100 116 86 - 31 -155 - 0 3 485 Normal Butane/Butylene .............. 37 -27 16 - 18 -48 - 74 6 12 Isobutane/Isobutylene ................... 15 (s) 13 - 14 -10 - 24 0 27 Other Liquids .................................... 24 - 0 - 38 40 - 46 (s) -24 Other Hydrocarbons/Oxygenates .... 45 - 0 - 0 7 - 37 (s) 0 Unfinished Oils ................................. - - 0 - -4 17 - 3 0 -24 Motor Gasoline Blend. Comp. .......... -21 - 0 - 42 16 - 6 (s) 0 Aviation Gasoline Blend. Comp. ....... - - 0 - 0 -1 - 1 0 0 Finished Petroleum Products .......... 71 3,648 9 - 646 154

430

table02.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

2. 2. U.S. Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum Products, January 1998 Crude Oil ............................................... 202,756 - 258,506 1,851 12,065 0 443,902 7,146 0 880,184 Natural Gas Liquids and LRGs ............ 55,963 15,419 7,378 - -15,412 - 14,810 2,118 77,244 79,784 Pentanes Plus .................................... 9,388 - 1,185 - 1,137 - 4,282 461 4,693 6,852 Liquefied Petroleum Gases ................ 46,575 15,419 6,193 - -16,549 - 10,528 1,657 72,551 72,932 Ethane/Ethylene ............................ 19,726 751 556 - -1,715 - 0 0 22,748 17,192 Propane/Propylene ........................ 16,528 16,343 4,241 - -9,623 - 0 904 45,831 34,422 Normal Butane/Butylene ................ 4,818 -2,023 880 - -5,547 - 7,256 753 1,213 12,826 Isobutane/Isobutylene .................... 5,503 348 516 - 336 - 3,272 0 2,759 8,492

431

R:\ventura\psmarticle\art0406.vp  

Gasoline and Diesel Fuel Update (EIA)

xxvii xxvii Energy Information Administration/Petroleum Supply Monthly, October 2004 PSA API OGJ RPD Million Million Percent Million Percent Million Percent Year Barrels Barrels of PSA Barrels of PSA Barrels of PSA 2002 2,097 2,132 101.7 2,093 99.8 2,082 99.3 2001 2,117 2,135 100.8 2,089 98.7 2,130 100.6 2000 2,125 2,137 100.6 2,146 101.0 2,088 98.3 1999 2,147 2,152 100.5 2,195 102.2 2,151 100.2 1998 2,282 2,298 100.7 2,327 102.0 2,181 95.6 1997 2,355 2,326 98.8 2,330 98.9 2,312 98.2 1996 2,360 2,356 99.8 2,370 100.4 2,335 98.9 1995 2,394 2,382 99.5 2,393 100.0 2,358 98.5 1994 2,432 2,424 99.7 2,438 100.2 2,425 99.7 1993 2,499 2,504 100.2 2,520 100.8 2,492 99.7 Table FE1. A Comparison of Data Series for Crude Oil Production, 1993-2002 Sources: PSA: Petroleum Supply Annual, 1993 through 2002, Table 2. API: American Petroleum Institute, Monthly Statistical Report, 1993 through 2002. OGJ: Oil

432

TABLE27.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

7. 7. Exports of Crude Oil and Petroleum Products by PAD District, January 1998 Crude Oil a ....................................................................... 0 1,168 0 0 5,978 7,146 231 Natural Gas Liquids ...................................................... 24 752 885 6 451 2,118 68 Pentanes Plus ............................................................. 1 455 0 5 (s) 461 15 Liquefied Petroleum Gases ......................................... 24 297 885 (s) 450 1,657 53 Ethane/Ethylene ..................................................... 0 0 0 0 0 0 0 Propane/Propylene ................................................. 20 96 637 (s) 149 904 29 Normal Butane/Butylene ......................................... 3 201 248 0 301 753 24 Isobutane/Isobutylene ............................................ 0 0 0 0 0 0 0 Other Liquids ..................................................................

433

TABLE21.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

Imports Imports of Crude Oil and Petroleum Products into the United States by Country of Origin, a January 1998 Arab OPEC .................................. 53,500 1,139 2,258 115 625 0 0 1,267 0 0 Algeria ...................................... 0 1,139 1,174 115 0 0 0 824 0 0 Iraq ........................................... 1,110 0 0 0 0 0 0 0 0 0 Kuwait ....................................... 7,822 0 0 0 0 0 0 0 0 0 Saudi Arabia ............................. 44,568 0 1,084 0 625 0 0 443 0 0 Other OPEC ................................. 61,280 0 2,295 588 1,644 776 715 2,121 3 0 Indonesia .................................. 1,020 0 0 0 0 0 0 97 0 0 Nigeria ...................................... 19,360 0 0 0 0 0 0 166 0 0 Venezuela ................................. 40,900 0 2,295 588 1,644 776 715 1,858 3 0 Non OPEC ................................... 143,726 5,054 4,682 3,253 5,745 1,867

434

TABLE13.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

3. 3. PAD District V - Daily Average Supply and Disposition of Crude Oil and Petroleum (Thousand Barrels per Day) January 1998 Crude Oil ............................................ 2,165 - 440 154 -73 101 0 2,393 193 0 Natural Gas Liquids and LRGs ........ 93 43 (s) - 0 -51 - 98 15 75 Pentanes Plus ................................... 51 - 0 - 0 (s) - 42 (s) 9 Liquefied Petroleum Gases .............. 42 43 (s) - 0 -51 - 56 15 66 Ethane/Ethylene ............................ (s) 0 0 - 0 0 - 0 0 (s) Propane/Propylene ....................... 12 47 (s) - 0 -26 - 0 5 80 Normal Butane/Butylene ............... 21 -8 0 - 0 -25 - 43 10 -15 Isobutane/Isobutylene ................... 10 5 0 - 0 (s) - 13 0 2 Other Liquids ..................................... 87 - 71 - 24 87 - 73 3 19 Other Hydrocarbons/Oxygenates ..... 109 - 28 - 0 14 - 121 3 0 Unfinished Oils ................................. - - 43 - 0 32 - -8 0 19 Motor

435

c007.chp:Corel VENTURA  

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

March March 1998 2 Prime Supplier Sales Volumes of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products October 1997 November 1997 December 1997 January 1998 February 1998 March 1998 Cumulative Year To Date 1997 Cumulative Year To Date 1998 Adjusted Year To Date % Change 1 United States Motor Gasoline ......................... 10,902,391 10,143,551 10,826,964 10,047,308 9,380,747 10,678,647 29,597,227 30,106,702 1.7 Regular .................................... 7,861,794 7,277,667 7,726,152 7,148,868 6,693,799 7,585,856 21,214,994 21,428,523 1.0 Conventional ........................... 5,189,145 4,682,550 4,963,896 4,563,601 4,300,943 4,987,963 14,015,431 13,852,507 -1.2 Oxygenated ............................ 275,585 359,994 386,009 365,693 317,923 248,437

436

c007.chp:Corel VENTURA  

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

January January 1998 2 Prime Supplier Sales Volumes of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products August 1997 September 1997 October 1997 November 1997 December 1997 January 1998 Cumulative Year To Date 1997 Cumulative Year To Date 1998 Adjusted Year To Date % Change 1 United States Motor Gasoline ......................... 11,104,799 10,295,602 10,902,391 10,143,551 10,826,964 10,054,359 9,875,179 10,054,359 1.8 Regular .................................... 7,974,380 7,441,944 7,861,794 7,277,667 7,726,152 7,155,537 7,071,855 7,155,537 1.2 Conventional ........................... 5,429,861 4,990,745 5,189,145 4,682,550 4,963,896 4,575,812 4,600,032 4,575,812 -0.5 Oxygenated ............................ 143,682 170,765 275,585 359,994 386,009 360,888

437

TABLE29.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

9. 9. Net Imports of Crude Oil and Petroleum Products into the United States by Country, (Thousand Barrels per Day) January 1998 Arab OPEC .................................. 1,726 37 20 0 (s) 41 -3 (s) 296 391 2,116 Algeria ...................................... 0 37 0 0 0 27 0 0 252 316 316 Iraq ........................................... 36 0 0 0 0 0 0 0 0 0 36 Kuwait ....................................... 252 0 0 0 0 0 0 (s) (s) (s) 252 Qatar ........................................ 0 0 0 0 0 0 0 0 (s) (s) (s) Saudi Arabia ............................. 1,438 0 20 0 (s) 14 0 (s) 43 78 1,515 United Arab Emirates ............... 0 0 0 0 (s) 0 -3 (s) (s) -3 -3 Other OPEC ................................. 1,977 (s) 52 25 14 68 -4 (s) 86 241 2,218 Indonesia .................................. 33 0 0 0 0 3 0 (s) (s) 3 36 Nigeria ...................................... 625 (s) 0 0 0 5 0 (s) 0 5 630 Venezuela

438

TABLE18.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

8. 8. Refinery Stocks of Crude Oil and Petroleum Products by PAD and Refining Districts, January 1998 Crude Oil .................................................................... 14,835 511 15,346 8,591 1,779 2,386 12,756 Petroleum Products .................................................. 53,526 2,604 56,130 37,545 10,689 14,376 62,610 Pentanes Plus .......................................................... 0 0 0 4 209 225 438 Liquefied Petroleum Gases ...................................... 1,482 13 1,495 2,085 308 672 3,065 Ethane/Ethylene ................................................... 0 0 0 3 0 0 3 Propane/Propylene ............................................... 564 5 569 1,196 16 332 1,544 Normal Butane/Butylene ....................................... 584 6 590 608 205 232 1,045 Isobutane/Isobutylene ...........................................

439

TABLE20.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

0. 0. Imports of Crude Oil and Petroleum Products by PAD District, January 1998 Crude Oil a,b ................................................................... 53,357 48,515 139,013 3,980 13,641 258,506 8,339 Natural Gas Liquids ...................................................... 1,233 3,599 2,005 536 5 7,378 238 Pentanes Plus ............................................................ 0 42 1,031 112 0 1,185 38 Liquefied Petroleum Gases ........................................ 1,233 3,557 974 424 5 6,193 200 Ethane ................................................................... 0 0 544 0 0 544 18 Ethylene ................................................................. 0 12 0 0 0 12 (s) Propane ................................................................. 1,206 2,477 136 233 5 4,057 131 Propylene ...............................................................

440

TABLE28.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

8. 8. Exports of Crude Oil and Petroleum Products by Destination, (Thousand Barrels) Destination Liquefied Finished Crude Pentanes Petroleum Motor Distillate Fuel Residual Oil a Plus Gases Gasoline Jet Fuel Kerosene Oil Fuel Oil January 1998 Argentina .............................................. 0 0 0 1 0 0 1 1 Australia ............................................... 0 0 (s) (s) 0 0 1 0 Bahama Islands ................................... 0 0 21 1 1 (s) 54 (s) Bahrain ................................................. 0 0 0 0 0 0 0 0 Belgium & Luxembourg ........................ 0 0 0 0 0 0 2 0 Brazil .................................................... 0 0 (s) 0 82 0 150 0 Cameroon ............................................ 0 0 0 0 0 0 0 0 Canada ................................................ 1,168 461 331 137 595 11 438 633 Chile .....................................................

Note: This page contains sample records for the topic "usage ventura basin" 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

TABLE31.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

1. 1. Refinery, Bulk Terminal, and Natural Gas Plant Stocks of Selected Petroleum Products by PAD January 1998 PAD District I ........................................ 39,875 16,226 269 23,380 3,520 46,977 15,022 31,955 15,736 2,460 Connecticut ....................................... 1,625 1,625 0 0 131 4,252 999 3,253 70 W Delaware, D.C., Maryland ................. 2,413 1,906 0 507 169 2,677 869 1,808 2,331 W Florida ............................................... 6,051 0 0 6,051 115 2,063 1,131 932 1,009 55 Georgia ............................................. 2,118 0 0 2,118 46 1,125 701 424 97 W Maine, New Hampshire, Vermont ..... 869 536 0 333 333 1,847 583 1,264 618 W Massachusetts .................................. 1,359 1,359 0 0 175 3,157 570 2,587 508 W New Jersey ....................................... 8,106 5,929 0 2,177 508 13,443 3,320 10,123 5,715

442

TABLE25A.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

PAD PAD District V PAD District IV January 1998 Non OPEC .................................... 3,980 424 0 0 13 0 140 0 0 0 Canada ..................................... 3,980 424 0 0 13 0 140 0 0 0 Total .............................................. 3,980 424 0 0 13 0 140 0 0 0 Arab OPEC .................................. 2,409 0 0 0 0 0 0 0 0 0 Iraq ........................................... 1,110 0 0 0 0 0 0 0 0 0 Kuwait ....................................... 1,299 0 0 0 0 0 0 0 0 0 Saudi Arabia ............................. 0 0 0 0 0 0 0 0 0 0 Other OPEC ................................. 1,614 0 363 0 0 0 0 97 0 0 Indonesia .................................. 1,020 0 0 0 0 0 0 97 0 0 Venezuela ................................. 594 0 363 0 0 0 0 0 0 0 Non OPEC .................................... 9,618 5 972 0 13 475 22 0 0 0 Argentina .................................. 807 0 0 0 0 0 0 0 0 0 Canada

443

TABLE33.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

3. 3. Movements of Crude Oil and Petroleum Products by Pipeline Between PAD Districts, January 1998 Crude Oil ........................................................ 0 433 157 978 772 0 58,118 Petroleum Products ...................................... 7,922 0 1,760 5,765 2,885 73,877 20,560 Pentanes Plus ............................................ 0 0 0 159 0 0 549 Liquefied Petroleum Gases ........................ 0 0 1,093 5,010 262 3,310 4,920 Motor Gasoline Blending Components ...... 0 0 1 0 0 0 1,310 Finished Motor Gasoline ............................ 5,162 0 438 502 897 38,620 7,634 Reformulated ......................................... 0 0 0 338 0 10,058 338 Oxygenated ........................................... 0 0 0 0 26 0 0 Other ...................................................... 5,162 0 438 164 871 28,562 7,296 Finished Aviation Gasoline

444

TABLE30.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

............. ............. 16,235 70,132 717,193 12,816 63,808 880,184 Refinery ......................................................................... 15,346 12,756 45,731 2,186 21,772 97,791 Tank Farms and Pipelines ............................................. 869 56,269 94,262 9,834 29,940 191,174 Leases ........................................................................... 20 1,107 13,770 796 961 16,654 Strategic Petroleum Reserve *a ...................................... 0 0 563,430 0 0 563,430 Alaskan In Transit .......................................................... 0 0 0 0 11,135 11,135 Total Stocks, All Oils (excluding Crude Oil) ...................... 172,408 157,248 244,587 18,844 96,499 689,586 Refinery ......................................................................... 56,130 62,610 139,080 13,137

445

vol2app.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

District District Descriptions and Maps The following are the Refining Districts which make up the Petroleum Administration for Defense (PAD) Dis- tricts. PAD District I East Coast: District of Columbia and the States of Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut, New Jersey, Delaware, Maryland, Virginia, North Carolina, South Carolina, Georgia, Florida, and the following counties of the State of New York: Cayuga, Tompkins, Chemung, and all counties east and north thereof. Also the following counties in the State of Penn- sylvania: Bradford, Sullivan, Columbia, Montour, North- umberland, Dauphin, York, and all counties east thereof. Appalachian No. 1: The State of West Virginia and those parts of the States of Pennsylvania and New York not included in the East Coast District. Sub-PAD District I New England: The States of Connecticut, Maine, Massa- chusetts,

446

c007.chp:Corel VENTURA  

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

October October 1998 2 Prime Supplier Sales Volumes of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products May 1998 June 1998 July 1998 August 1998 September 1998 October 1998 Cumulative Year To Date 1997 Cumulative Year To Date 1998 Adjusted Year To Date % Change 1 United States Motor Gasoline ......................... 11,050,072 11,122,985 11,574,440 11,361,574 10,756,677 11,205,440 104,699,055 107,767,006 2.9 Regular .................................... 7,880,019 7,944,320 8,207,736 8,034,715 7,610,549 7,928,191 75,005,479 76,598,726 2.1 Conventional ........................... 5,276,193 5,366,477 5,552,097 5,403,924 5,042,027 5,239,498 50,646,680 50,774,256 0.3 Oxygenated ............................ 185,744 196,783 186,843 181,571 248,076 303,759 1,957,702

447

TABLE19.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

9. 9. Percent Refinery Yield of Petroleum Products by PAD and Refining Districts, a January 1998 Liquefied Refinery Gases ............................................ 1.2 -0.3 1.1 3.4 -0.4 1.9 2.6 Finished Motor Gasoline b ............................................ 49.1 39.8 48.6 51.6 54.9 50.0 51.7 Finished Aviation Gasoline c ........................................ 0.1 0.0 0.1 0.0 0.1 0.1 0.0 Naphtha-Type Jet Fuel ................................................ 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Kerosene-Type Jet Fuel .............................................. 6.3 1.2 6.0 6.4 7.8 6.1 6.5 Kerosene ..................................................................... 1.0 4.3 1.2 1.1 0.1 0.3 0.8 Distillate Fuel Oil ......................................................... 26.1 24.0 26.0 23.7 25.0 33.1 25.7 Residual Fuel Oil .........................................................

448

TABLE26.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

6. 6. Imports of Residual Fuel Oil by Sulfur Content and by PAD District and State of Entry, January 1998 PAD District I ............................................................................................... 1,481 1,458 4,361 7,300 Delaware .................................................................................................. 0 0 305 305 Florida ...................................................................................................... 0 0 635 635 Maine ....................................................................................................... 67 0 215 282 Maryland .................................................................................................. 0 0 330 330 Massachusetts .........................................................................................

449

R:\ventura\psmarticle\Art0310.vp  

Gasoline and Diesel Fuel Update (EIA)

3 3 ix Accuracy of Petroleum Supply Data by Tammy G. Heppner and Carol L. French Overview Petroleum supply data collected by the Petroleum Division (PD) in the Office of Oil and Gas (OOG) of the Energy Information Administration (EIA) showed an improvement in the accuracy of the 2002 data from good, to better, to best, for initial estimates to final values. These data were presented in a series of PD products: the Weekly Petroleum Status Report (WPSR), This Week in Petroleum (TWIP), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and TWIP were the first values available. Figure FE1 illustrates that as reporting time increases from the weekly estimates to the interim monthly values to the final petroleum supply values, there is more in-depth review resulting in an improvement in the accuracy of the data. For the monthly-from-weekly

450

R:\ventura\psmarticle\Art0410.vp  

Gasoline and Diesel Fuel Update (EIA)

4 4 vii Accuracy of Petroleum Supply Data by Tammy G. Heppner and Carol L. French Overview Petroleum supply data collected by the Petroleum Division (PD) in the Office of Oil and Gas (OOG) of the Energy Information Administration (EIA) showed an improvement in the accuracy of the 2003 data from good, to better, to best, for initial estimates to final values. These data were presented in a series of PD products: the Weekly Petroleum Status Report (WPSR), This Week in Petroleum (TWIP), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and TWIP were the first values available. Figure FE1 illustrates that as reporting and review time passes from the weekly estimates to the interim monthly values to the final petroleum supply values, the EIA is able to serve up more accurate data. For the monthly-from-weekly (MFW) data, respondents have the

451

:CorelVentura 7.0  

Gasoline and Diesel Fuel Update (EIA)

1999 1999 (AEO99) Assumptions to the December 1998 With Projections to 2020 Energy Information Administration Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

452

table05.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

27 27 - 1,721 -65 -3 170 0 1,511 0 0 Natural Gas Liquids and LRGs ....... 27 18 40 - 153 -28 - 8 1 257 Pentanes Plus .................................. 3 - 0 - 0 (s) - 0 (s) 2 Liquefied Petroleum Gases .............. 24 18 40 - 153 -28 - 8 1 254 Ethane/Ethylene ............................ 8 0 0 - 0 0 - 0 0 8 Propane/Propylene ........................ 11 54 39 - 149 -8 - 0 1 261 Normal Butane/Butylene ............... 4 -27 1 - 3 -18 - 5 (s) -7 Isobutane/Isobutylene ................... 1 -9 0 - 0 -2 - 3 0 -8 Other Liquids .................................... -9 - 183 - 11 17 - 234 1 -67 Other Hydrocarbons/Oxygenates ..... 64 - 22 - 0 7 - 79 1 0 Unfinished Oils ................................. - - 34 - 0 -2 - 104 0 -68 Motor Gasoline Blend. Comp. ........... -72 - 126 - 11 12 - 54 (s) 0 Aviation Gasoline Blend. Comp. ....... - - 0 - 0 1 - -2 0 1 Finished Petroleum Products .......... 76 1,798 771 - 2,918 -104 - - 63 5,603 Finished

453

TABLE14.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

4. 4. Production of Crude Oil by PAD District and State, January 1998 PAD District and State Total Daily Average (Thousand Barrels) PAD District I .......................................................................................... 824 27 Florida ................................................................................................. 523 17 New York ............................................................................................. 19 1 Pennsylvania ....................................................................................... 146 5 Virginia ................................................................................................. 1 (s) West Virginia ....................................................................................... 136 4 PAD District

454

R:\ventura\psmarticle\Art0209.vp  

Gasoline and Diesel Fuel Update (EIA)

September September 2002 xi Accuracy of Petroleum Supply Data by Tammy G. Heppner and Carol L. French Overview Petroleum supply data collected by the Petroleum Division (PD) in the Office of Oil and Gas (OOG) of the Energy Information Administration (EIA) showed an improvement in the accuracy of the 2001 data from good, to better, to best, for initial estimates to final values. These data were presented in a series of PD publications: the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report (WFR), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and WFR were the first values available. Figure FE1 illustrates that as reporting time increases from the weekly estimates to the interim monthly values to the final petroleum supply values, there is more in-depth review resulting in an improvement in the accuracy of the data. For the monthly-from-weekly

455

TABLE23.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

3. 3. PAD District II-Imports of Crude Oil and Petroleum Products by Country of Origin, a January 1998 Arab OPEC ................................... 6,219 0 0 0 0 0 0 0 0 0 Kuwait ....................................... 1,253 0 0 0 0 0 0 0 0 0 Saudi Arabia ............................. 4,966 0 0 0 0 0 0 0 0 0 Other OPEC .................................. 4,136 0 0 0 0 0 0 0 0 0 Nigeria ...................................... 540 0 0 0 0 0 0 0 0 0 Venezuela ................................. 3,596 0 0 0 0 0 0 0 0 0 Non OPEC .................................... 38,160 3,557 0 0 76 0 107 19 0 18 Angola ....................................... 1,853 0 0 0 0 0 0 0 0 0 Canada ..................................... 30,038 3,557 0 0 76 0 107 19 0 18 Colombia ................................... 1,777 0 0 0 0 0 0 0 0 0 Ecuador .................................... 376 0 0 0 0 0 0 0 0 0 Mexico .......................................

456

art0110.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

an an improvement in the accuracy of the 2000 data from good, to better, to best, for initial estimates to final values. These data were presented in a series of PD publications: the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report (WFR), the Petroleum Supply Monthly (PSM), and the Petroleum Supply Annual (PSA). Weekly estimates in the WPSR and WFR were the first values available. Figure FE1 illustrates that as reporting time increases from the weekly estimates to the interim monthly values to the final petroleum supply values, there is an improvement in the accuracy of the data. For the monthly-from-weekly (MFW) data, respondents have the shortest reporting time, and the data are least accurate but "good." For the PSM data, respondents have a longer reporting time than the weekly, and the data are more accurate or "better." For the PSA data, respondents

457

TABLE12.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

2. PAD District V-Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum Products, January 1998 Crude Oil ... 67,121 - 13,641...

458

table04.chp:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

4. PAD District I-Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum Products, January 1998 Crude Oil ... 824 - 53,357 -2,000...

459

table02.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

1,569,770 Supply Disposition Commodity Unaccounted Field Refinery For Crude Stock Crude Refinery Products Ending Production Production Imports Oil a Change b Losses Inputs...

460

VOL2NOTE.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

companies report weekly data to the Energy Information Administration (EIA) on crude oil and petro- leum product stocks, refinery inputs and production, and crude oil and...

Note: This page contains sample records for the topic "usage ventura basin" 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

TABLE30.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

... 0 0 0 0 11,135 11,135 Total Stocks, All Oils (excluding Crude Oil) ... 172,408 157,248 244,587 18,844 96,499 689,586 Refinery...

462

TABLE13.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

Commodity Imports by Unac- PAD counted Field Refinery District For Net Stock Crude Refinery Products Production Production of Entry a Crude Oil b Receipts Change c Losses...

463

TABLE11.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

Commodity Imports by Unac- PAD counted Field Refinery District For Net Stock Crude Refinery Products Production Production of Entry a Crude Oil b Receipts Change c Losses...

464

table06.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

of the Interior. Export data from the Bureau of the Census and Form EIA-810, "Monthly Refinery Report." 62 February 1998 Crude Oil ......

465

table07.chp:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

Commodity Imports by Unac- PAD counted Field Refinery District For Net Stock Crude Refinery Products Production Production of Entry a Crude Oil b Receipts Change c Losses...

466

TABLE18.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

8. Refinery Stocks of Crude Oil and Petroleum Products by PAD and Refining Districts, January 1998 Crude Oil ......

467

table01.chp:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

for crude oil represents the difference between the supply and disposition of crude oil. Refinery processing gain represents the volumetric amount by which total output is...

468

table10.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

of the Interior. Export data from the Bureau of the Census and Form EIA-810, "Monthly Refinery Report." 110 February 1998 Crude Oil ......

469

TABLE16.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

6. Refinery Input of Crude Oil and Petroleum Products by PAD and Refining Districts, January 1998 Crude Oil ......

470

table09.chp:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

Commodity Imports by Unac- PAD counted Field Refinery District For Net Stock Crude Refinery Products Production Production of Entry a Crude Oil b Receipts Change c Losses...

471

table05.chp:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

Commodity Imports by Unac- PAD counted Field Refinery District For Net Stock Crude Refinery Products Production Production of Entry a Crude Oil b Receipts Change c Losses...

472

table03.chp:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

per Day) Supply Disposition Commodity Unaccounted Field Refinery For Crude Stock Crude Refinery Products Production Production Imports Oil a Change b Losses Inputs Exports...

473

table08.chp:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

of the Interior. Export data from the Bureau of the Census and Form EIA-810, "Monthly Refinery Report." 86 February 1998 Crude Oil ......

474

TABLE14.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

4. Production of Crude Oil by PAD District and State, January 1998 PAD District and State Total Daily Average (Thousand Barrels) PAD District I ......

475

TABLE17.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

7. Refinery Net Production of Finished Petroleum Products by PAD and Refining Districts, January 1998 Liquefied Refinery Gases ... 576 -7...

476

TABLE15.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

5. Natural Gas Plant Net Production and Stocks of Petroleum Products by PAD and Refining PAD District I PAD District II Commodity East Appalachian Minn., Wis., Okla., Kans., Coast...

477

San Bernardino Los AngelesVentura  

E-Print Network (OSTI)

Power Project Solar Power Plant Licensing Projects T:\\Pr ojects \\CEC\\CE C P rojec ts \\Current CE C Beacon Solar, LLC Ridgecrest Solar Power Project 250 MW - Kern Co. Solar Millennium, LLC Hidden HillsSource Energy, Inc. Calico Solar Project 100.5 MW (Solar Thermal) San Bernardino Co. Approved October 28, 2010

478

San Bernardino Los AngelesVentura  

E-Print Network (OSTI)

Beacon Solar Energy Project 250 MW - Kern Co. Approved August 25, 2010 Beacon Solar, LLC Ridgecrest SolarSource Energy, INC Rio Mesa Solar 750 MW - Riverside Co. BrightSource Energy, INC Genesis Solar Energy Project MW - San Bernardino Co. Approved September 8, 2010 Mojave Solar, LLC Rice Solar Energy Project 150 MW

479

TABLE28.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

8. Exports of Crude Oil and Petroleum Products by Destination, (Thousand Barrels) Destination Liquefied Finished Crude Pentanes Petroleum Motor Distillate Fuel Residual Oil a Plus...

480

TABLE32.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

2. Movements of Crude Oil and Petroleum Products by Pipeline, Tanker, and Barge Between January 1998 Crude Oil ... 0 433 0 344...

Note: This page contains sample records for the topic "usage ventura basin" 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

TABLE20.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

0. Imports of Crude Oil and Petroleum Products by PAD District, January 1998 Crude Oil a,b ... 53,357 48,515 139,013...

482

TABLE24.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

4. PAD District III-Imports of Crude Oil and Petroleum Products by Country of Origin, a January 1998 Arab OPEC ... 38,701 294 2,258 0 0 0 0 443 0 0...

483

TABLE22.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

2. PAD District I-Imports of Crude Oil and Petroleum Products by Country of Origin, a January 1998 Arab OPEC ... 6,171 845 0 115 625 0 0 824 0 0...

484

TABLE27.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

7. Exports of Crude Oil and Petroleum Products by PAD District, January 1998 Crude Oil a ... 0 1,168 0 0 5,978...

485

TABLE35.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

Thousand Barrels) January 1998 Crude Oil ... 344 433 -89 62,087 2,094 59,993 Petroleum Products ......

486

TABLE33.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

3. Movements of Crude Oil and Petroleum Products by Pipeline Between PAD Districts, January 1998 Crude Oil ... 0 433 157 978...

487

TABLE23.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

3. PAD District II-Imports of Crude Oil and Petroleum Products by Country of Origin, a January 1998 Arab OPEC ... 6,219 0 0 0 0 0 0 0 0 0 Kuwait...

488

TABLE19.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

9. Percent Refinery Yield of Petroleum Products by PAD and Refining Districts, a January 1998 Liquefied Refinery Gases ... 1.2 -0.3 1.1 3.4...

489

vol2app.chp:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

District I East Coast: District of Columbia and the States of Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, Connecticut, New Jersey, Delaware, Maryland, Virginia,...

490

TABLE21.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

0 0 310 9 0 0 490 0 0 Japan ... 0 0 0 0 0 0 0 0 0 0 Korea, Republic of ... 0 0 0 0 0 0 0 0 0 0 Malaysia ......

491

TABLE29.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

-33 Japan ... -61 (s) 0 0 -2 -1 -46 -1 -12 -62 -123 Korea, Republic of ... -78 0 0 0 (s) 0 -13 (s) 1 -12 -90 Malaysia...

492

TABLE25A.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

0 0 0 0 0 0 0 0 0 Ecuador ... 2,007 0 0 0 0 0 0 0 0 0 Korea, Republic of ... 0 0 0 0 0 0 0 0 0 0 Malaysia ......

493

c007.chp:Corel VENTURA  

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

Motor Gasoline ... 11,050,072 11,122,985 11,574,440 11,361,574 10,756,677 11,205,440 104,699,055 107,767,006 2.9 Regular ......

494

TABLE26.CHP:Corel VENTURA  

Annual Energy Outlook 2012 (EIA)

6. Imports of Residual Fuel Oil by Sulfur Content and by PAD District and State of Entry, January 1998 PAD District I ......

495

c007.chp:Corel VENTURA  

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

February February 1999 2 Prime Supplier Sales Volumes of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products September 1998 October 1998 November 1998 December 1998 January 1999 February 1999 Cumulative Year To Date 1998 Cumulative Year To Date 1999 Adjusted Year To Date % Change 1 United States Motor Gasoline ......................... 10,756,677 11,218,355 10,469,445 11,107,600 9,938,105 9,708,621 19,428,055 19,646,726 1.1 Regular .................................... 7,610,549 7,930,901 7,354,578 7,765,179 6,900,227 6,769,190 13,842,667 13,669,417 -1.3 Conventional ........................... 5,042,027 5,215,578 4,741,242 5,010,689 4,376,908 4,333,263 8,864,544 8,710,171 -1.7 Oxygenated ............................ 248,076 329,621 385,740 407,637 395,832

496

c007.chp:Corel VENTURA  

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

July July 1998 2 Prime Supplier Sales Volumes of Petroleum Products by Grade, PAD District, and State (Thousand Gallons) Geographic Area Products February 1998 March 1998 April 1998 May 1998 June 1998 July 1998 Cumulative Year To Date 1997 Cumulative Year To Date 1998 Adjusted Year To Date % Change 1 United States Motor Gasoline ......................... 9,380,747 10,656,802 10,610,961 11,050,072 11,122,985 11,601,316 72,564,234 74,470,191 2.6 Regular .................................... 6,693,799 7,568,368 7,582,161 7,880,019 7,944,320 8,229,697 51,879,866 53,047,232 2.3 Conventional ........................... 4,300,943 4,969,360 5,060,136 5,276,193 5,366,477 5,562,059 35,127,361 35,098,769 -0.1 Oxygenated ............................ 317,923 252,846 183,304 185,744 196,783 186,843 1,404,673 1,689,136

497

TABLE11.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

1. 1. PAD District IV-Daily Average Supply and Disposition of Crude Oil and Petroleum (Thousand Barrels per Day) January 1998 Crude Oil ........................................... 356 - 204 52 -131 -1 0 483 0 0 Natural Gas Liquids and LRGs ........ 131 (s) 17 - -93 (s) - 19 (s) 35 Pentanes Plus .................................. 25 - 4 - -11 (s) - 5 (s) 12 Liquefied Petroleum Gases .............. 106 (s) 14 - -82 (s) - 14 (s) 23 Ethane/Ethylene ........................... 31 0 0 - -41 0 - 0 0 -10 Propane/Propylene ....................... 48 9 8 - -23 -2 - 0 (s) 43 Normal Butane/Butylene ............... 18 -7 6 - -10 1 - 11 0 -5 Isobutane/Isobutylene ................... 9 -3 0 - -8 1 - 2 0 -4 Other Liquids .................................... 11 - 0 - 0 18 - -5 0 -2 Other Hydrocarbons/Oxygenates .... 3 - 0 - 0 -1 - 4 0 0 Unfinished Oils ................................. - - 0 - 0 3 - -1 0 -2 Motor Gasoline

498

TABLE12.CHP:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

2. 2. PAD District V-Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum Products, January 1998 Crude Oil ............................................ 67,121 - 13,641 4,786 -2,251 3,132 0 74,187 5,978 0 63,808 Natural Gas Liquids and LRGs ........ 2,884 1,346 5 - 0 -1,591 - 3,038 451 2,337 3,315 Pentanes Plus ................................... 1,572 - 0 - 0 -1 - 1,293 (s) 280 23 Liquefied Petroleum Gases .............. 1,312 1,346 5 - 0 -1,590 - 1,745 450 2,058 3,292 Ethane/Ethylene ............................ 2 0 0 - 0 0 - 0 0 2 0 Propane/Propylene ....................... 358 1,447 5 - 0 -805 - 0 149 2,466 1,676 Normal Butane/Butylene ............... 639 -241 0 - 0 -771 - 1,348 301 -480 1,111 Isobutane/Isobutylene ................... 313 140 0 - 0 -14 - 397 0 70 505 Other Liquids ..................................... 2,710 - 2,197 - 734 2,707 - 2,248 94 592 36,195 Other

499

table03.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

3. 3. U.S. Daily Average Supply and Disposition of Crude Oil and Petroleum Products, January 1998 Crude Oil ............................................... 6,541 - 8,339 60 389 0 14,319 231 0 Natural Gas Liquids and LRGs ........... 1,805 497 238 - -497 - 478 68 2,492 Pentanes Plus .................................... 303 - 38 - 37 - 138 15 151 Liquefied Petroleum Gases ................ 1,502 497 200 - -534 - 340 53 2,340 Ethane/Ethylene ............................ 636 24 18 - -55 - 0 0 734 Propane/Propylene ........................ 533 527 137 - -310 - 0 29 1,478 Normal Butane/Butylene ............... 155 -65 28 - -179 - 234 24 39 Isobutane/Isobutylene ................... 178 11 17 - 11 - 106 0 89 Other Liquids ........................................ 285 - 476 - 244 - 564 69 -116 Other Hydrocarbons/Oxygenates ...... 369 - 51 - 33 - 337 50 0 Unfinished Oils ...................................

500

table08.chp:Corel VENTURA  

Gasoline and Diesel Fuel Update (EIA)

106,453 106,453 - 157,490 -279 -53,603 7,143 0 202,918 0 0 717,193 Natural Gas Liquids and LRGs ........ 39,438 10,759 2,005 - -2,109 -6,438 - 7,105 885 48,541 46,872 Pentanes Plus .................................. 5,820 - 1,031 - -167 925 - 2,057 0 3,702 4,603 Liquefied Petroleum Gases .............. 33,618 10,759 974 - -1,942 -7,363 - 5,048 885 44,839 42,269 Ethane/Ethylene ........................... 15,603 751 544 - 3,485 -1,605 - 0 0 21,988 14,111 Propane/Propylene ....................... 11,268 9,321 136 - -4,893 -3,707 - 0 637 18,902 15,091 Normal Butane/Butylene ............... 2,346 107 176 - -356 -2,748 - 3,088 248 1,685 7,266 Isobutane/Isobutylene ................... 4,401 580 118 - -178 697 - 1,960 0 2,264 5,801 Other Liquids .................................... 5,321 - 6,903 - -2,255 2,536 - 6,692 2,021 -1,280 65,913 Other Hydrocarbons/Oxygenates .... 4,613 - 22