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Note: This page contains sample records for the topic "usage kwh natural" 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.


1

Property:Building/SPPurchasedEngyPerAreaKwhM2NaturalGas | Open Energy  

Open Energy Info (EERE)

NaturalGas NaturalGas Jump to: navigation, search This is a property of type String. Natural gas Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2NaturalGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 +

2

OpenEI - Unit Cost Natural Gas  

Open Energy Info (EERE)

for years 1989 through 2010 for UT at Austin; specifically, electricity usage (kWh), natural gas usage (Mcf), associated costs. Also provides water consumption for 2005...

3

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

4

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

5

max kwh | OpenEI Community  

Open Energy Info (EERE)

max kwh max kwh Home Ewilson's picture Submitted by Ewilson(53) Contributor 4 January, 2013 - 08:42 Rates with tier problems max kwh tiers I've detected that the following rates all have the improper number of "Max kWh" values (should be one less than the number of charges, since the highest tier is always "all remaining"). This is likely due to users not understanding the meaning of "Max kWh"--often I see things like: "300, 700, 1000" (derived from "first 300, next 700, greater than 1000") which should be entered as "300, 1000". This is why we need checks on input that prevent users from entering this incorrectly. Here is the list (my script only checked residential rates): Syndicate content 429 Throttled (bot load)

6

kWh | OpenEI  

Open Energy Info (EERE)

kWh kWh Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

7

Analyzing the Impact of Residential Building Attributes, Demographic and Behavioral Factors on Natural Gas Usage  

SciTech Connect

This analysis examines the relationship between energy demand and residential building attributes, demographic characteristics, and behavioral variables using the U.S. Department of Energy’s Residential Energy Consumption Survey 2005 microdata. This study investigates the applicability of the smooth backfitting estimator to statistical analysis of residential energy consumption via nonparametric regression. The methodology utilized in the study extends nonparametric additive regression via local linear smooth backfitting to categorical variables. The conventional methods used for analyzing residential energy consumption are econometric modeling and engineering simulations. This study suggests an econometric approach that can be utilized in combination with simulation results. A common weakness of previously used econometric models is a very high likelihood that any suggested parametric relationships will be misspecified. Nonparametric modeling does not have this drawback. Its flexibility allows for uncovering more complex relationships between energy use and the explanatory variables than can possibly be achieved by parametric models. Traditionally, building simulation models overestimated the effects of energy efficiency measures when compared to actual "as-built" observed savings. While focusing on technical efficiency, they do not account for behavioral or market effects. The magnitude of behavioral or market effects may have a substantial influence on the final energy savings resulting from implementation of various energy conservation measures and programs. Moreover, variability in behavioral aspects and user characteristics appears to have a significant impact on total energy consumption. Inaccurate estimates of energy consumption and potential savings also impact investment decisions. The existing modeling literature, whether it relies on parametric specifications or engineering simulation, does not accommodate inclusion of a behavioral component. This study attempts to bridge that gap by analyzing behavioral data and investigate the applicability of additive nonparametric regression to this task. This study evaluates the impact of 31 regressors on residential natural gas usage. The regressors include weather, economic variables, demographic and behavioral characteristics, and building attributes related to energy use. In general, most of the regression results were in line with previous engineering and economic studies in this area. There were, however, some counterintuitive results, particularly with regard to thermostat controls and behaviors. There are a number of possible reasons for these counterintuitive results including the inability to control for regional climate variability due to the data sanitization (to prevent identification of respondents), inaccurate data caused by to self-reporting, and the fact that not all relevant behavioral variables were included in the data set, so we were not able to control for them in the study. The results of this analysis could be used as an in-sample prediction for approximating energy demand of a residential building whose characteristics are described by the regressors in this analysis, but a certain combination of their particular values does not exist in the real world. In addition, this study has potential applications for benefit-cost analysis of residential upgrades and retrofits under a fixed budget, because the results of this study contain information on how natural gas consumption might change once a particular characteristic or attribute is altered. Finally, the results of this study can help establish a relationship between natural gas consumption and changes in behavior of occupants.

Livingston, Olga V.; Cort, Katherine A.

2011-03-03T23:59:59.000Z

8

Guidelines for Energy Cost Savings Resulting from Tracking and Monitoring Electrical nad Natural Gas Usage, Cost, and Rates  

E-Print Network (OSTI)

This paper discusses how improved energy information in schools and hospitals from tracking and monitoring electrical and natural gas usage, cost, and optional rate structures, can reduce energy costs. Recommendations, methods, and guidelines for monitoring and tracking of utilities are provided. These recommendations, methods, and guidelines are the result of on-site work for schools and hospitals . Recently completed energy usage survey and observations of several hospitals in Texas are included. Opportunities exist for schools, hospitals, and other buildings t o achieve significant dollar savings by good utility management. Understanding utility rate structures is essential for minimizing energy costs. The authors' data is for Texas schools and hospitals, but the principles presented apply to other geographic areas.

McClure, J. D.; Estes, M. C.; Estes, J. M.

1989-01-01T23:59:59.000Z

9

Property:Incentive/PVComFitDolKWh | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Incentive/PVComFitDolKWh Jump to: navigation, search Property Name Incentive/PVComFitDolKWh Property Type String Description Feed-in tariff for commercial systems. The $ amount per kWh generated such that the incentive is disbursed over time based on metered production. 100% of energy generated is exported; none is used on-site. Ex: TVA Green Power Switch $0.15/kWh; We Energies $0.225/kWh Format: $0.225 [1] References ↑ DSIRE Pages using the property "Incentive/PVComFitDolKWh" Showing 25 pages using this property. (previous 25) (next 25) A Alliant Energy (Wisconsin Power and Light) - Advanced Renewables Tariff (Wisconsin) + $0.25 + C CPS Energy - Solartricity Producer Program (Texas) + $0.27 +

10

Property:Incentive/PVResFitDolKWh | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Incentive/PVResFitDolKWh Jump to: navigation, search Property Name Incentive/PVResFitDolKWh Property Type String Description Feed-in Tariff (FIT): The $ amount per kWh generated such that the incentive is disbursed over time based on metered production. 100% of energy generated is exported; none is used on-site. Ex: TVA Green Power Switch $0.15/kWh; We Energies $0.225/kWh Format: $0.225 [1] References ↑ DSIRE Pages using the property "Incentive/PVResFitDolKWh" Showing 25 pages using this property. (previous 25) (next 25) A Alliant Energy (Wisconsin Power and Light) - Advanced Renewables Tariff (Wisconsin) + $0.25 + C CPS Energy - Solartricity Producer Program (Texas) + $0.27 +

11

Property:Incentive/PVNPFitDolKWh | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Incentive/PVNPFitDolKWh Jump to: navigation, search Property Name Incentive/PVNPFitDolKWh Property Type String Description Feed-in tariff for non-profit and/or government systems. The $ amount per kWh generated such that the incentive is disbursed over time based on metered production. 100% of energy generated is exported; none is used on-site. Ex: TVA Green Power Switch $0.15/kWh; We Energies $0.225/kWh Format: $0.225 [1] References ↑ DSIRE Pages using the property "Incentive/PVNPFitDolKWh" Showing 25 pages using this property. (previous 25) (next 25) A Alliant Energy (Wisconsin Power and Light) - Advanced Renewables Tariff (Wisconsin) + $0.25 + C CPS Energy - Solartricity Producer Program (Texas) + $0.27 +

12

DOE: T-O-D rates shift kWh and kW  

SciTech Connect

Technical report:In 1975, FEA, in cooperation with state and local utility authorities, initiated a series of field projects that collected electricity usage data under new electric utility rate designs and load management techniques. Individual projects included a wide range of load-management and electricity rate design alternatives, with emphasis on several forms of time-of-day rates. The program is now funded by the U.S. Dept. of Energy. Objectives of the program, kWh usage effects, kw demand effects, and sources of the load changes are discussed. Initial results indicate actual or effective shifts in electricity consumption from peak to off-peak periods, and reductions in diversified demand coincident with system peaks. (10 graphs)

Johnson, C.R.; Mintz, S.

1978-11-15T23:59:59.000Z

13

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...

14

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...

15

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...

16

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

17

Unit Cost Natural Gas | OpenEI  

Open Energy Info (EERE)

2 2 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281532 Varnish cache server Unit Cost Natural Gas Dataset Summary Description Provides annual energy usage for years 1989 through 2010 for UT at Austin; specifically, electricity usage (kWh), natural gas usage (Mcf), associated costs. Also provides water consumption for 2005 through 2010. Source University of Texas (UT) at Austin, Utilities & Energy Management Date Released Unknown Date Updated Unknown Keywords Electricity Consumption Natural Gas Texas Unit Cost Electricity Unit Cost Natural Gas University Water Data application/vnd.ms-excel icon Energy and Water Use Data for UT-Austin (xls, 32.8 KiB) Quality Metrics

18

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

19

Beyond kWh and kW demand: Understanding the new real-time electric...  

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

Beyond kWh and kW demand: Understanding the new real-time electric power measurement system in LBNL Building 90 Speaker(s): Alex McEachern Date: January 14, 2010 - 12:00pm...

20

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...

Note: This page contains sample records for the topic "usage kwh natural" 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

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

22

Evaluation of Persistence of Savings from SMUD Retrocommissioning Program  

E-Print Network (OSTI)

electricity or natural gas usage and monthly outside drycost [$] Saved cost [$] Gas usage [therm] Elec usage [kWh]11 Table 4: Actual Monthly Natural Gas Usage for

Bourassa, Norman J.; Piette, Mary A.; Motegi, Naoya

2003-01-01T23:59:59.000Z

23

Cost analysis of 50 kWh zinc--chlorine batteries for mobile applications  

DOE Green Energy (OSTI)

The costs comprising the projected selling price of a 50-kWh zinc--chlorine battery for mobile applications were analyzed. This analysis is predicated on a battery whose engineering and design specifications are well crystallized. Such a design has been proposed and a process plan conceived. This, in turn, led to a simulated manufacturing plan. This analysis showed that no critical resources or complex manufacturing operations are required. The projected cost presumes a production level of 25,000 batteries per year. In that context, a selling price was estimated, in mid-1977 dollars, to be $1645 per battery or $33/kWh. This price excludes the battery charger, for which an added $400 ($8/kWh) is considered reasonable. 8 figures, 19 tables.

Catherino, H.; Henriksen, G.L.; Whittlesey, C.C.; Warde, C.J.; Carr, P.; Symons, P.C.

1978-01-01T23:59:59.000Z

24

Development of 5kWh Flywheel Energy Storage System Using MATLAB/xPC Target  

Science Conference Proceedings (OSTI)

A 5kWh class FESS(Flywheel Energy Storage System) with the operating speed range of 9,000~15,000rpm has been developed. The system consists of a composite flywheel rotor, active magnetic bearings, a motor/generator and its controller. Because Active ... Keywords: FESS, Magnetic bearing, rotor dynamics, Imbalace Response, xPC Target

Cheol Hoon Park; Sang-Kyu Choi; Young Su Son; Young Hee Han

2009-03-01T23:59:59.000Z

25

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...

26

Property:Building/SPBreakdownOfElctrcityUseKwhM2Total | Open Energy  

Open Energy Info (EERE)

SPBreakdownOfElctrcityUseKwhM2Total" SPBreakdownOfElctrcityUseKwhM2Total" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 71.4577086539 + Sweden Building 05K0002 + 110.926946534 + Sweden Building 05K0003 + 72.9096074806 + Sweden Building 05K0004 + 66.0248923654 + Sweden Building 05K0005 + 54.8654809632 + Sweden Building 05K0006 + 65.291976787 + Sweden Building 05K0007 + 65.5403331042 + Sweden Building 05K0008 + 41.6418235453 + Sweden Building 05K0009 + 56.5413268466 + Sweden Building 05K0010 + 150.269021739 + Sweden Building 05K0011 + 27.5018481341 + Sweden Building 05K0012 + 37.9937990385 + Sweden Building 05K0013 + 68.8990371973 + Sweden Building 05K0014 + 166.794253904 + Sweden Building 05K0015 + 71.0813662687 + Sweden Building 05K0016 + 38.5267410327 +

27

Property:Building/SPPurchasedEngyPerAreaKwhM2Total | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyPerAreaKwhM2Total" SPPurchasedEngyPerAreaKwhM2Total" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 221.549575215 + Sweden Building 05K0002 + 213.701117318 + Sweden Building 05K0003 + 195.801526718 + Sweden Building 05K0004 + 174.148148148 + Sweden Building 05K0005 + 340.088495575 + Sweden Building 05K0006 + 211.255924171 + Sweden Building 05K0007 + 144.028151521 + Sweden Building 05K0008 + 171.282051282 + Sweden Building 05K0009 + 140.296360236 + Sweden Building 05K0010 + 300.961098398 + Sweden Building 05K0011 + 98.1045751634 + Sweden Building 05K0012 + 106.609793929 + Sweden Building 05K0013 + 175.776187637 + Sweden Building 05K0014 + 291.160427408 + Sweden Building 05K0015 + 174.193548387 + Sweden Building 05K0016 + 145.793794187 +

28

Property:Building/SPPurchasedEngyPerAreaKwhM2DstrtHeating | Open Energy  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Building/SPPurchasedEngyPerAreaKwhM2DstrtHeating Jump to: navigation, search This is a property of type String. District heating Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2DstrtHeating" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 111.56331078 + Sweden Building 05K0002 + 72.7932960894 + Sweden Building 05K0003 + 111.899416255 + Sweden Building 05K0004 + 72.865497076 + Sweden Building 05K0005 + 285.840707965 + Sweden Building 05K0006 + 128.449958182 + Sweden Building 05K0007 + 63.8377147588 + Sweden Building 05K0008 + 115.128205128 + Sweden Building 05K0009 + 66.5515753129 + Sweden Building 05K0010 + 148.741418764 +

29

Property:Building/SPBreakdownOfElctrcityUseKwhM2Misc | Open Energy  

Open Energy Info (EERE)

SPBreakdownOfElctrcityUseKwhM2Misc SPBreakdownOfElctrcityUseKwhM2Misc Jump to: navigation, search This is a property of type String. Miscellaneous Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2Misc" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 9.09953195331 + Sweden Building 05K0003 + 8.78442379242 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 12.9530389597 + Sweden Building 05K0008 + 6.03377747253 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 10.9950724049 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 14.2856105095 + Sweden Building 05K0014 + 27.8718727739 +

30

Property:Building/SPBreakdownOfElctrcityUseKwhM2HeatPumps | Open Energy  

Open Energy Info (EERE)

SPBreakdownOfElctrcityUseKwhM2HeatPumps SPBreakdownOfElctrcityUseKwhM2HeatPumps Jump to: navigation, search This is a property of type String. Heat pumps Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2HeatPumps" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

31

Property:Building/SPPurchasedEngyPerAreaKwhM2Oil-FiredBoiler | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyPerAreaKwhM2Oil-FiredBoiler SPPurchasedEngyPerAreaKwhM2Oil-FiredBoiler Jump to: navigation, search This is a property of type String. Oil-fired boiler Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2Oil-FiredBoiler" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

32

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

33

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

34

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. ...

35

Emission difference between natural gas usage and digester gas usage.  

E-Print Network (OSTI)

??M.S. It is important to burn the air toxics and harmful gases which come from water and wastewater treatment processes. In common practice, instead of… (more)

Ghorbanian, Mahyar, 1986-

2010-01-01T23:59:59.000Z

36

Property:Building/SPPurchasedEngyPerAreaKwhM2ElctrcHeating | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyPerAreaKwhM2ElctrcHeating" SPPurchasedEngyPerAreaKwhM2ElctrcHeating" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.915704329247 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.745132743363 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 25.8064516129 + Sweden Building 05K0016 + 5.89159465829 + Sweden Building 05K0017 + 0.0 + Sweden Building 05K0018 + 0.0 + Sweden Building 05K0019 + 0.0 +

37

Property:Building/SPBreakdownOfElctrcityUseKwhM2ElctrcHeating | Open Energy  

Open Energy Info (EERE)

SPBreakdownOfElctrcityUseKwhM2ElctrcHeating" SPBreakdownOfElctrcityUseKwhM2ElctrcHeating" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.915704329247 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.745132743363 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 25.8064516129 + Sweden Building 05K0016 + 5.89159465829 + Sweden Building 05K0017 + 0.0 + Sweden Building 05K0018 + 0.0 + Sweden Building 05K0019 + 0.0 +

38

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

39

Property:Building/SPPurchasedEngyPerAreaKwhM2OtherElctrty | Open Energy  

Open Energy Info (EERE)

OtherElctrty OtherElctrty Jump to: navigation, search This is a property of type String. Other electricity Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2OtherElctrty" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 70.305743501 + Sweden Building 05K0002 + 95.9357541899 + Sweden Building 05K0003 + 72.2496632241 + Sweden Building 05K0004 + 65.8830409357 + Sweden Building 05K0005 + 53.5026548673 + Sweden Building 05K0006 + 58.7608028994 + Sweden Building 05K0007 + 61.5607534672 + Sweden Building 05K0008 + 40.3846153846 + Sweden Building 05K0009 + 56.4810818587 + Sweden Building 05K0010 + 152.219679634 + Sweden Building 05K0011 + 25.5555555556 + Sweden Building 05K0012 + 35.8807888323 + Sweden Building 05K0013 + 61.3267863536 +

40

Property:Building/SPBreakdownOfElctrcityUseKwhM2Pumps | Open Energy  

Open Energy Info (EERE)

Pumps Pumps Jump to: navigation, search This is a property of type String. Pumps Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2Pumps" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 6.37190900733 + Sweden Building 05K0002 + 6.03888185355 + Sweden Building 05K0003 + 3.38991548528 + Sweden Building 05K0004 + 4.33303636174 + Sweden Building 05K0005 + 2.75390897598 + Sweden Building 05K0006 + 7.77750996655 + Sweden Building 05K0007 + 1.66724551261 + Sweden Building 05K0008 + 3.32543498168 + Sweden Building 05K0009 + 3.08636405861 + Sweden Building 05K0010 + 14.8373684211 + Sweden Building 05K0011 + 1.47492819795 + Sweden Building 05K0012 + 3.32673206926 + Sweden Building 05K0013 + 2.63132906976 +

Note: This page contains sample records for the topic "usage kwh natural" 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

Property:Building/SPBreakdownOfElctrcityUseKwhM2LargeComputersServers |  

Open Energy Info (EERE)

LargeComputersServers LargeComputersServers Jump to: navigation, search This is a property of type String. Large computers / servers Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2LargeComputersServers" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 2.88701226026 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 3.90838206628 + Sweden Building 05K0005 + 0.697674418605 + Sweden Building 05K0006 + 1.18332311465 + Sweden Building 05K0007 + 11.4098804421 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.556088941246 + Sweden Building 05K0010 + 10.0228832952 + Sweden Building 05K0011 + 0.471022727273 + Sweden Building 05K0012 + 0.774049003718 + Sweden Building 05K0013 + 0.0 +

42

Property:Building/SPBreakdownOfElctrcityUseKwhM2Elevators | Open Energy  

Open Energy Info (EERE)

Elevators Elevators Jump to: navigation, search This is a property of type String. Elevators Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2Elevators" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.139664804469 + Sweden Building 05K0003 + 5.78356533453 + Sweden Building 05K0004 + 0.0116959064327 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.699648105982 + Sweden Building 05K0008 + 0.192307692308 + Sweden Building 05K0009 + 0.0661775284132 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.163674492353 + Sweden Building 05K0014 + 2.7497571546 +

43

Property:Building/SPBreakdownOfElctrcityUseKwhM2Fans | Open Energy  

Open Energy Info (EERE)

Fans Fans Jump to: navigation, search This is a property of type String. Fans Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2Fans" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 5.21311928139 + Sweden Building 05K0002 + 18.5995610535 + Sweden Building 05K0003 + 20.3514016294 + Sweden Building 05K0004 + 8.08671679198 + Sweden Building 05K0005 + 16.0166245259 + Sweden Building 05K0006 + 10.358795651 + Sweden Building 05K0007 + 8.3953561818 + Sweden Building 05K0008 + 9.28527472527 + Sweden Building 05K0009 + 12.8398873749 + Sweden Building 05K0010 + 20.0966982674 + Sweden Building 05K0011 + 6.90408963585 + Sweden Building 05K0012 + 8.60719192175 + Sweden Building 05K0013 + 16.7539365907 +

44

Property:Building/SPBreakdownOfElctrcityUseKwhM2Copiers | Open Energy  

Open Energy Info (EERE)

Copiers Copiers Jump to: navigation, search This is a property of type String. Copiers Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2Copiers" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.85593220339 + Sweden Building 05K0003 + 0.447247706422 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.897811865554 + Sweden Building 05K0008 + 0.9 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 7.78032036613 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 1.24104401228 + Sweden Building 05K0014 + 2.91414481058 + Sweden Building 05K0015 + 0.41935483871 +

45

Property:Building/SPPurchasedEngyPerAreaKwhM2ElctrtyTotal | Open Energy  

Open Energy Info (EERE)

ElctrtyTotal ElctrtyTotal Jump to: navigation, search This is a property of type String. Electricity, total Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2ElctrtyTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 71.2214478303 + Sweden Building 05K0002 + 95.9357541899 + Sweden Building 05K0003 + 72.2496632241 + Sweden Building 05K0004 + 65.8830409357 + Sweden Building 05K0005 + 54.2477876106 + Sweden Building 05K0006 + 58.7608028994 + Sweden Building 05K0007 + 61.5607534672 + Sweden Building 05K0008 + 40.3846153846 + Sweden Building 05K0009 + 56.4810818587 + Sweden Building 05K0010 + 152.219679634 + Sweden Building 05K0011 + 25.5555555556 + Sweden Building 05K0012 + 35.8807888323 + Sweden Building 05K0013 + 61.3267863536 +

46

Property:Building/SPBreakdownOfElctrcityUseKwhM2CirculationFans | Open  

Open Energy Info (EERE)

CirculationFans CirculationFans Jump to: navigation, search This is a property of type String. Circulation fans Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2CirculationFans" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 13.3422495258 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 2.80646609789 + Sweden Building 05K0004 + 8.95823904901 + Sweden Building 05K0005 + 5.55016340076 + Sweden Building 05K0006 + 6.81308969891 + Sweden Building 05K0007 + 2.02541916787 + Sweden Building 05K0008 + 0.625641025641 + Sweden Building 05K0009 + 7.59721281624 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.757191316527 + Sweden Building 05K0012 + 6.04077487892 + Sweden Building 05K0013 + 0.767224182906 +

47

Property:Building/SPPurchasedEngyPerAreaKwhM2DstrtColg | Open Energy  

Open Energy Info (EERE)

DstrtColg DstrtColg Jump to: navigation, search This is a property of type String. District cooling Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2DstrtColg" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 38.7648166048 + Sweden Building 05K0002 + 44.9720670391 + Sweden Building 05K0003 + 11.6524472384 + Sweden Building 05K0004 + 35.3996101365 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 24.0451630889 + Sweden Building 05K0007 + 18.6296832954 + Sweden Building 05K0008 + 15.7692307692 + Sweden Building 05K0009 + 17.2637030643 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 5.09803921569 + Sweden Building 05K0012 + 15.0675825393 + Sweden Building 05K0013 + 21.4822771214 +

48

Property:Building/SPBreakdownOfElctrcityUseKwhM2AirCompressors | Open  

Open Energy Info (EERE)

AirCompressors AirCompressors Jump to: navigation, search This is a property of type String. Air compressors Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2AirCompressors" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 1.33591087145 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 1.86549707602 + Sweden Building 05K0005 + 2.04651162791 + Sweden Building 05K0006 + 1.92596566524 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.970107495214 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 1.30894886364 + Sweden Building 05K0012 + 2.01978262942 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 +

49

Property:Building/SPBreakdownOfElctrcityUseKwhM2Lighting | Open Energy  

Open Energy Info (EERE)

This is a property of type String. This is a property of type String. Lighting Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2Lighting" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 13.6004313481 + Sweden Building 05K0002 + 51.2740526316 + Sweden Building 05K0003 + 25.3519773429 + Sweden Building 05K0004 + 14.5539566929 + Sweden Building 05K0005 + 17.1088606195 + Sweden Building 05K0006 + 11.7758321884 + Sweden Building 05K0007 + 16.0796522459 + Sweden Building 05K0008 + 15.7053876478 + Sweden Building 05K0009 + 19.44639866 + Sweden Building 05K0010 + 37.0625 + Sweden Building 05K0011 + 12.9336787565 + Sweden Building 05K0012 + 12.985779547 + Sweden Building 05K0013 + 21.6361810339 + Sweden Building 05K0014 + 29.853732347 +

50

Property:Building/SPBreakdownOfElctrcityUseKwhM2LargeKitchens | Open Energy  

Open Energy Info (EERE)

LargeKitchens LargeKitchens Jump to: navigation, search This is a property of type String. Large kitchens Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2LargeKitchens" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.763086941039 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.409356725146 + Sweden Building 05K0005 + 2.13953488372 + Sweden Building 05K0006 + 0.383200490497 + Sweden Building 05K0007 + 3.38701556508 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.294507436313 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.177556818182 + Sweden Building 05K0012 + 0.0953379731147 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 +

51

Property:Building/SPBreakdownOfElctrcityUseKwhM2Pcs | Open Energy  

Open Energy Info (EERE)

Pcs Pcs Jump to: navigation, search This is a property of type String. PCs Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2Pcs" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 26.0998626444 + Sweden Building 05K0002 + 22.2888135593 + Sweden Building 05K0003 + 4.12075688073 + Sweden Building 05K0004 + 22.9175048733 + Sweden Building 05K0005 + 6.03962790698 + Sweden Building 05K0006 + 15.790619252 + Sweden Building 05K0007 + 5.8172794947 + Sweden Building 05K0008 + 4.66333333333 + Sweden Building 05K0009 + 8.50154616404 + Sweden Building 05K0010 + 8.05491990847 + Sweden Building 05K0011 + 2.70028409091 + Sweden Building 05K0012 + 2.19353608542 + Sweden Building 05K0013 + 8.43270214944 +

52

Property:Building/SPBreakdownOfElctrcityUseKwhM2Printers | Open Energy  

Open Energy Info (EERE)

Printers Printers Jump to: navigation, search This is a property of type String. Printers Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2Printers" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.928422444931 + Sweden Building 05K0002 + 1.42372881356 + Sweden Building 05K0003 + 0.412844036697 + Sweden Building 05K0004 + 0.980506822612 + Sweden Building 05K0005 + 1.76744186047 + Sweden Building 05K0006 + 1.27988963826 + Sweden Building 05K0007 + 1.12158808933 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.765719334413 + Sweden Building 05K0010 + 1.01601830664 + Sweden Building 05K0011 + 0.774147727273 + Sweden Building 05K0012 + 1.11545428544 + Sweden Building 05K0013 + 0.549891248721 +

53

Property:Building/SPBreakdownOfElctrcityUseKwhM2SmallKitchensCoffeeRms |  

Open Energy Info (EERE)

SmallKitchensCoffeeRms SmallKitchensCoffeeRms Jump to: navigation, search This is a property of type String. Small kitchens / coffee rooms Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2SmallKitchensCoffeeRms" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 1.20677966102 + Sweden Building 05K0003 + 1.46100917431 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 2.53105456775 + Sweden Building 05K0007 + 1.08639747349 + Sweden Building 05K0008 + 0.910666666667 + Sweden Building 05K0009 + 2.06390811368 + Sweden Building 05K0010 + 3.29519450801 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 1.54234902764 +

54

Property:Building/SPBreakdownOfElctrcityUseKwhM2Refrigeration | Open Energy  

Open Energy Info (EERE)

Refrigeration Refrigeration Jump to: navigation, search This is a property of type String. Refrigeration Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2Refrigeration" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 2.77390577084 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 37.1080462614 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.895094880057 + Sweden Building 05K0014 + 12.4536103016 + Sweden Building 05K0015 + 0.0 +

55

Cogenerator to quit Con Ed by selling kWh to neighbor  

SciTech Connect

Selling 125 kilowatts of electricity around the clock to a nearby supermarket will make cogeneration feasible for the Flagship Restaurant in White Plains, NY, allowing it to drop off Consolidated Edison's grid and pay for a necessary backup generator, according to John Prayias, the restaurant's owner. The ambitious $536,000 project, which will be financed conventionally with a commercial bank loan, will eliminate the Flagship's $70,000 electricity costs and the $7240 spent of heating and domestic hot water, Prayias said. By selling the power to the supermarket at 9 cents per kilowatt hour - 3 cents less than Con Ed's rate of 12 cents per kWh - the restaurant will collect $120,000 a year in revenues - just about enough to cover the cost of diesel fuel for the 350-kW system and pay for monitoring and maintenance.

Springer, N.

1986-02-10T23:59:59.000Z

56

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

57

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...

58

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...

59

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

60

Property:Building/SPPurchasedEngyPerAreaKwhM2DigesterLandfillGas | Open  

Open Energy Info (EERE)

DigesterLandfillGas DigesterLandfillGas Jump to: navigation, search This is a property of type String. Digester / landfill gas Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2DigesterLandfillGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

Note: This page contains sample records for the topic "usage kwh natural" 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

Property:Building/SPBreakdownOfElctrcityUseKwhM2Laundry | Open Energy  

Open Energy Info (EERE)

Laundry Laundry Jump to: navigation, search This is a property of type String. Laundry Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2Laundry" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 +

62

Property:Building/SPPurchasedEngyPerAreaKwhM2WoodChips | Open Energy  

Open Energy Info (EERE)

WoodChips WoodChips Jump to: navigation, search This is a property of type String. Wood chips Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2WoodChips" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 +

63

Property:Building/SPPurchasedEngyPerAreaKwhM2Pellets | Open Energy  

Open Energy Info (EERE)

Pellets Pellets Jump to: navigation, search This is a property of type String. Pellets Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2Pellets" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 +

64

Property:Building/SPPurchasedEngyPerAreaKwhM2Other | Open Energy  

Open Energy Info (EERE)

This is a property of type String. This is a property of type String. Other Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2Other" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 + Sweden Building 05K0018 + 0.0 +

65

Property:Building/SPPurchasedEngyPerAreaKwhM2Logs | Open Energy Information  

Open Energy Info (EERE)

Logs Logs Jump to: navigation, search This is a property of type String. Logs Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2Logs" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 +

66

Property:Building/SPBreakdownOfElctrcityUseKwhM2ElctrcEngineHeaters | Open  

Open Energy Info (EERE)

ElctrcEngineHeaters ElctrcEngineHeaters Jump to: navigation, search This is a property of type String. Electric engine heaters Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2ElctrcEngineHeaters" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 2.44788473329 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.353408923575 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.835160644485 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

67

Property:Building/SPPurchasedEngyPerAreaKwhM2TownGas | Open Energy  

Open Energy Info (EERE)

TownGas TownGas Jump to: navigation, search This is a property of type String. Town gas Pages using the property "Building/SPPurchasedEngyPerAreaKwhM2TownGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 +

68

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

69

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

70

Utility Cycle Testing of a 500-kWh Zinc Chloride Battery at the Battery Energy Storage Test (BEST) Facility  

Science Conference Proceedings (OSTI)

A 500-kWh zinc chloride battery test system completed an entire schedule of 80 simulated utility and customer application cycles--the most diverse and severe known to be successfully performed by any advanced battery system. Encouraged by these results, researchers plan to have a 2-MW demonstration battery system ready for testing in 1986.

1985-10-09T23:59:59.000Z

71

CEMEX: Cement Manufacturer Saves 2.1 Million kWh Annually with a Motor Retrofit Project  

Science Conference Proceedings (OSTI)

This DOE Industrial Technologies Program spotlight describes how the CEMEX cement manufacturing plant in Davenport, California, saves 2 million kWh and $168,000 in energy costs annually by replacing 13 worn-out motors with new energy-efficient ones.

Not Available

2005-11-01T23:59:59.000Z

72

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 ...

73

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

74

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

75

Beyond kWh and kW demand: Understanding the new real-time electric power  

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

Beyond kWh and kW demand: Understanding the new real-time electric power Beyond kWh and kW demand: Understanding the new real-time electric power measurement system in LBNL Building 90 Speaker(s): Alex McEachern Date: January 14, 2010 - 12:00pm Location: 90-3122 In the Summer of 2009, LBNL researchers installed end-use sub-metering equipment and associated Energy Information System (EIS) tools to characterize energy use and comfort in Building 90. Seven of 40 key electric loads were measured using advanced meters that make sophisticated real-time measurements of dozens of power flow parameters, power disturbances, and harmonics. The talk will review some electrical engineering fundamentals, how use and interpret data measured in building 90 in real-time. The real-time data available includes power, volt-amps, VAR's, unbalance voltage and current, voltage and current distortion,

76

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

77

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

78

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

79

Effect of Energy Efficiency Standards on Natural Gas Prices  

E-Print Network (OSTI)

a series of decrements to gas usage on the reference run,Consumers As the gas and electric usage of the residentialThe effect on usage of natural gas and electricity by the

Carnall, Michael

2012-01-01T23:59:59.000Z

80

Development of zinc-bromine batteries for utility energy storage. First annual report, 1 September 1978-31 August 1979. [8-kWh submodule  

SciTech Connect

Development work on the Zn/Br battery is reported. A major improvement was the use of a bipolar cell design; this design is superior with respect to cost, performance, and simplicity. A cost and design study for an 80-kWh module resulted in a cost estimate of $54/kWh(1979$) for purchased materials and components, on the basis of 2500 MWh of annual production. A cell submodule (nominal 2 kWh) of full-sized electrodes (1 ft/sup 2/) accrued over 200 continuous cycles in a hands-off, automatic routine with efficiencies in the range of 53 to 56%. Initial testing of a full-sized 8-kWh submodule demonstrated energy efficiencies of 65 to 67%. 23 figures, 10 tables. (RWR)

Putt, R.; Attia, A.J.; Lu, P.Y.; Heyland, J.H.

1980-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage kwh natural" 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

OpenEI - University  

Open Energy Info (EERE)

for years 1989 through 2010 for UT at Austin; specifically, electricity usage (kWh), natural gas usage (Mcf), associated costs. Also provides water consumption for 2005...

82

OpenEI - Water  

Open Energy Info (EERE)

for years 1989 through 2010 for UT at Austin; specifically, electricity usage (kWh), natural gas usage (Mcf), associated costs. Also provides water consumption for 2005...

83

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

84

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 ...

85

Property:Building/SPBreakdownOfElctrcityUseKwhM2HeatPumpsUsedForColg | Open  

Open Energy Info (EERE)

HeatPumpsUsedForColg HeatPumpsUsedForColg Jump to: navigation, search This is a property of type String. Heat pumps used for cooling Pages using the property "Building/SPBreakdownOfElctrcityUseKwhM2HeatPumpsUsedForColg" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.250906049624 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

86

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

87

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

88

RECS Electricity Usage Form_v2 (25418 - Activated, Traditional...  

Gasoline and Diesel Fuel Update (EIA)

Period Enter the End Date for each billing period MMDDYY Enter the Amount used in kWh XXXX kWh were: AActual EEstimated RRead by Customer (select one) A E R 1 2 3 4 5 6 7...

89

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

90

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.

91

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

92

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

93

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 ...

94

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

95

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-Rösch; Knud Möller; David Vallet

2011-05-01T23:59:59.000Z

96

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

97

Natural  

Gasoline and Diesel Fuel Update (EIA)

Summary of U.S. Natural Gas Imports and Exports, 1992-1996 Table 1992 1993 1994 1995 1996 Imports Volume (million cubic feet) Pipeline Canada............................. 2,094,387 2,266,751 2,566,049 2,816,408 2,883,277 Mexico .............................. 0 1,678 7,013 6,722 13,862 Total Pipeline Imports....... 2,094,387 2,268,429 2,573,061 2,823,130 2,897,138 LNG Algeria .............................. 43,116 81,685 50,778 17,918 35,325 United Arab Emirates ....... 0 0 0 0 4,949 Total LNG Imports............. 43,116 81,685 50,778 17,918 40,274 Total Imports......................... 2,137,504 2,350,115 2,623,839 2,841,048 2,937,413 Average Price (dollars per thousand cubic feet) Pipeline Canada............................. 1.84 2.02 1.86 1.48 1.96 Mexico .............................. - 1.94 1.99 1.53 2.25 Total Pipeline Imports.......

98

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

99

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

100

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

Note: This page contains sample records for the topic "usage kwh natural" 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

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...

102

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...

103

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...

104

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

105

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,...

106

Design and cost study of nickel--zinc batteries for electric vehicle. Final report. [24 kWh battery of 48 325-Ah cells, 35 Wh/lb  

DOE Green Energy (OSTI)

A battery module configuration consisting of four 325-Ah cells was selected. Twelve such modules would make up a 24-kWh battery. The key design parameter is operation current density. An energy density of 2.1 Wh/in./sup 3/ and 35 Wh/lb was obtained. A flow diagram was drawn for the manufacturing process. An eight-month period would be required to set up a pilot plant. The material requirements for 100,000 batteries per year would not have a significant impact on current U.S. consumption. 29 figures, 28 tables (RWR)

Klein, M; Dube, D

1976-10-01T23:59:59.000Z

107

Table H7: Natural Gas Usage for Large Hospitals  

U.S. Energy Information Administration (EIA)

Author: Joelle Davis Last modified by: KJO Created Date: 11/30/2001 7:57:29 PM Company: DOE/EIA Other titles: Data for Table H7 RSEs for Table H7 'Data for Table H7 ...

108

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

109

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

110

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

111

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

112

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

113

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

114

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...

115

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

116

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

117

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

118

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

119

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

120

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

Note: This page contains sample records for the topic "usage kwh natural" 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

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

122

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

123

Energy Use and Water Consumption at University of Texas at Austin...  

Open Energy Info (EERE)

Use and Water Consumption at University of Texas at Austin Provides annual energy usage for years 1989 through 2010 for UT at Austin; specifically, electricity usage (kWh), natural...

124

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.

125

Okanogan County PUD - Sustainable Natural Alternative Power Program |  

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

Sustainable Natural Alternative Power Program Sustainable Natural Alternative Power Program Okanogan County PUD - Sustainable Natural Alternative Power Program < Back Eligibility Agricultural Commercial Industrial Local Government Residential Schools State Government Savings Category Bioenergy Solar Buying & Making Electricity Alternative Fuel Vehicles Wind Maximum Rebate 1.00/kWh Program Info State District of Columbia Program Type Performance-Based Incentive Rebate Amount Varies, 0.037/kWh in July 2011 Provider Okanogan County PUD Conservation Department Created in October 2004, Okanogan County PUD's Sustainable Natural Alternative Power Program (SNAP) encourages members to install renewable energy systems by offering an incentive payment based on the system's production on a dollar per kilowatt-hour ($/kWh) basis. SNAP producers also

126

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

127

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

128

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...

129

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...

130

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...

131

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

132

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

133

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

134

Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010;  

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

3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010; 3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam; Unit: U.S. Dollars per Physical Units. Electricity Components Natural Gas Components Steam Components Electricity Natural Gas Steam Electricity from Sources Natural Gas from Sources Steam from Sources Electricity from Local Other than Natural Gas from Local Other than Steam from Local Other than NAICS Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Code(a) Subsector and Industry (kWh) (kWh) (kWh) (1000 cu ft) (1000 cu ft) (1000 cu ft) (million Btu)

135

Table 7.7 Quantity of Purchased Electricity, Natural Gas, and Steam, 2010;  

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

7 Quantity of Purchased Electricity, Natural Gas, and Steam, 2010; 7 Quantity of Purchased Electricity, Natural Gas, and Steam, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam; Unit: Physical Units or Btu. Electricity Components Natural Gas Components Steam Components Electricity Natural Gas Steam Electricity from Sources Natural Gas from Sources Steam from Sources Electricity from Local Other than Natural Gas from Local Other than Steam from Local Other than NAICS Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Code(a) Subsector and Industry (million kWh) (million kWh) (million kWh) (billion cu ft) (billion cu ft)

136

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

137

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

138

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

139

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

140

Golden Valley Electric Association - Sustainable Natural Alternative Power  

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

Sustainable Natural Sustainable Natural Alternative Power (SNAP) Program Golden Valley Electric Association - Sustainable Natural Alternative Power (SNAP) Program < Back Eligibility Agricultural Commercial Industrial Institutional Nonprofit Residential Schools Savings Category Bioenergy Buying & Making Electricity Solar Home Weatherization Water Wind Maximum Rebate 1.50/kWh Program Info State Alaska Program Type Performance-Based Incentive Rebate Amount Varies; determined by kWh produced and contributions from supporting members. Provider Golden Valley Electric Golden Valley Electric Association's (GVEA) SNAP program encourages members to install renewable energy generators and connect them to the utility's electrical distribution system by offering an incentive payment based on the system's production on a dollar per kilowatt-hour ($/kWh) basis. The

Note: This page contains sample records for the topic "usage kwh natural" 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

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

142

Reduced Nitrogen and Natural Gas Consumption at Deepwell Flare  

E-Print Network (OSTI)

Facing both an economic downturn and the liklihood of steep natural gas price increases, company plants were challenged to identify and quickly implement energy saving projects that would reduce natural gas usage. Unit operating personnel and engineers w

Williams, C.

2004-01-01T23:59:59.000Z

143

Submetering of Building Energy and Water Usage  

Science Conference Proceedings (OSTI)

... 22 4.1.4 Natural Gas and Steam Submetering . . . ... 2. DOE/EIA Annual Energy Outlook 2010, http://www.eia.doe.gov/oiaf/aeo/demand.html. Page 15. ...

2011-11-10T23:59:59.000Z

144

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

145

Electric vehicle propulsion batteries: design and cost study for nickel/zinc battery manufacture. Task A. [25 kWh, 700 pounds, 245 Ah at 100+ V, 4. 77 ft/sup 3/  

DOE Green Energy (OSTI)

For satisfying the 25-kWh energy requirement necessary for vehicle propulsion, a 700-pound nickel--zinc battery was configured. Containing 64 individual cells, the unit was selected for minimum weight from computed packaging possibilities. Unit volume was projected to be 4.77 cubic feet. Capacity of the cells delivering 100+ volts was set at 245 ampere-hours. Selection was made primarily because of the compatibility with expressed vehicle requirements of a lower-current system. Manufacturing costs were computed for a unit using sintered positive electrodes at $86/kWh, pilot plant rate, and $78/kWh, production plant rate. Based on a lower than anticipated cost differential between sintered and nonsintered positive electrodes and certain other performance differences, the sintered electrode was chosen for the battery design. Capital expenditures for a production rate of 10,000 batteries per year are estimated to be $2,316,500. Capital expenditure for demonstrating production rates in a pilot plant facility is approximately $280,000, with the use of some shared available equipment. 29 figures, 9 tables.

None

1977-01-01T23:59:59.000Z

146

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

147

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

148

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

149

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

150

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

151

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

152

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:...

153

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:...

154

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...

155

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 ...

156

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

157

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...

158

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

159

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 ...

160

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,

Note: This page contains sample records for the topic "usage kwh natural" 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

Table A23. Quantity of Purchased Electricity, Steam, and Natural Gas by Type  

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

3. Quantity of Purchased Electricity, Steam, and Natural Gas by Type" 3. Quantity of Purchased Electricity, Steam, and Natural Gas by Type" " of Supplier, Census Region, Industry Group, and Selected Industries, 1991" " (Estimates in Btu or Physical Units)" ,," Electricity",," Steam",," Natural Gas" ,," (Million kWh)",," (Billion Btu)",," (Billion cu ft)" ,," -------------------------",," -------------------------",," ---------------------------------------",,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

162

Table A27. Quantity of Purchased Electricity, Steam, and Natural Gas by Type  

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

Quantity of Purchased Electricity, Steam, and Natural Gas by Type" Quantity of Purchased Electricity, Steam, and Natural Gas by Type" " of Supplier, Census Region, and Economic Characteristics of the Establishment," 1991 " (Estimates in Btu or Physical Units)" " "," Electricity",," Steam",," Natural Gas" ," (Million (kWh)",," (Billion Btu)",," (Billion cu ft)" ," -----------------------",," -----------------------",," ------------------------------------",,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

163

"Table A49. Average Prices of Purchased Electricity, Steam, and Natural Gas"  

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

9. Average Prices of Purchased Electricity, Steam, and Natural Gas" 9. Average Prices of Purchased Electricity, Steam, and Natural Gas" " by Type of Supplier, Census Region, and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam",," Natural Gas" ," (Million kWh)",," (Billion Btu)",," (1000 cu ft)" ,"-","-----------","-","-----------","-","-","-","RSE" " ","Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

164

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

165

"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...

166

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

167

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

168

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

169

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

170

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

171

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

172

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

173

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

174

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

175

Empire Natural Gas Corporation | Open Energy Information  

Open Energy Info (EERE)

Corporation Corporation Jump to: navigation, search Name Empire Natural Gas Corporation Place New York Utility Id 5703 Utility Location Yes Ownership R NERC Location RFC NERC RFC Yes ISO NY Yes Activity Retail Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Commercial: $0.0673/kWh Industrial: $0.0665/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Empire_Natural_Gas_Corporation&oldid=410652" Categories: EIA Utility Companies and Aliases

176

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

177

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

178

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

179

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

180

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

Note: This page contains sample records for the topic "usage kwh natural" 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

Economic assessment of polymer concrete usage in geothermal power plants  

DOE Green Energy (OSTI)

Results of a study established to review the Heber and Niland, California 50 MWe conceptual geothermal power plants designs and to identify areas where non-metallic materials, such as polymer concrete, can be technically and economically employed are reported. Emphasis was directed toward determining potential economic advantages and resulting improvements in plant availability. It is estimated that use of polymer concrete in the Heber plant will effect a savings of 6.18 mills per KWH in the cost of power delivered to the network, a savings of 9.7%. A similar savings should be effected in the Niland plant.

Not Available

1977-11-01T23:59:59.000Z

182

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

183

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

184

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

185

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

186

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

187

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

188

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

189

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

190

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

191

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

192

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.

193

OpenEI - kWh  

Open Energy Info (EERE)

are given by a location defined by the Typical Meteorological Year (TMY) for which the weather data was collected. Commercial load data is sorted by the (TMY) site as a...

194

Chelan County PUD - Sustainable Natural Alternative Power Producers Program  

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

Sustainable Natural Alternative Power Producers Sustainable Natural Alternative Power Producers Program Chelan County PUD - Sustainable Natural Alternative Power Producers Program < Back Eligibility Commercial Industrial Local Government Residential Schools State Government Savings Category Bioenergy Buying & Making Electricity Solar Home Weatherization Water Wind Maximum Rebate $1.50/kWh Program Info State District of Columbia Program Type Performance-Based Incentive Rebate Amount Varies; 2012 payment was $0.16/kWh Provider Chelan County Public Utility District The Sustainable Natural Alternative Power (SNAP) program encourages customers to install alternative power generators such as solar panels and wind turbines and connect them to the District's electrical distribution system by offering an incentive payment based on the system's production.

195

The Venezuelan natural gas industry  

Science Conference Proceedings (OSTI)

Venezuela's consumption energy of comes from three primary sources: hydroelectricity, liquid hydrocarbons and natural gas. In 1986, the energy consumption in the internal market was 95.5 thousand cubic meters per day of oil equivalent, of which 32% was natural gas, 46% liquid hydrocarbons and 22% hydroelectricity. The Venezuelan energy policy established natural gas usage after hydroelectricity, as a substitute of liquid hydrocarbons, in order to increase exports of these. This policy permits a solid development of the natural gas industry, which is covered in this paper.

Silva, P.V.; Hernandez, N.

1988-01-01T23:59:59.000Z

196

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

197

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

198

"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...

199

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

200

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

Note: This page contains sample records for the topic "usage kwh natural" 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

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...

202

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

203

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

204

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

205

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

206

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

207

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

208

"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

209

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

210

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

211

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

212

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

213

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

214

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

215

NIST Smart Grid Activities  

Science Conference Proceedings (OSTI)

... US per capita annual electricity usage = 13000 kWh – Japan per capita annual usage = 7900 kWh 2007 Generation by Source ...

2011-09-02T23:59:59.000Z

216

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

217

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

218

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

219

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

220

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

Note: This page contains sample records for the topic "usage kwh natural" 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

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

222

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

223

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

224

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

225

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

226

"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...

227

"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"...

228

"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...

229

"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"...

230

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...

231

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).

232

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...

233

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

234

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

235

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

236

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

237

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

238

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 Figuerędo de Santana; M. Cecília C. Baranauskas

2010-03-01T23:59:59.000Z

239

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

240

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-Noël Colin

2013-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage kwh natural" 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

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.

242

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

243

Natural Gas Weekly Update  

Gasoline and Diesel Fuel Update (EIA)

16, 2010 at 2:00 P.M. 16, 2010 at 2:00 P.M. Next Release: Thursday, January 6, 2011 Overview Prices Storage Other Market Trends Natural Gas Transportation Update Overview (For the Week Ending Wednesday, December 15, 2010) Extremely cold weather conditions moving across the country boosted demand for space heating this report week (December 8-15). Spot prices nonetheless decreased in most markets (with the exception of several in the Northeast), likely influenced by storage for winter usage remaining near historical highs and very strong current supplies. During the report week, the Henry Hub spot price decreased $0.24 to $4.22 per million Btu (MMBtu). At the New York Mercantile Exchange (NYMEX), prices for futures contracts also decreased with expectations of ample supply levels for this

244

Challenges and Opportunities Relative to Increased Usage of  

Science Conference Proceedings (OSTI)

7. 2005 Global Human-Activity Energy Flows. Hydro. 10. Geothermal. 2.5. Wind. 0.22. Solar. 0.02. Coal. 110. Natural Gas. 107. Residential. 50. Vehicle 39.

245

Positive selection for unpreferred codon usage in eukaryotic genomes  

E-Print Network (OSTI)

Background: Natural selection has traditionally been understood as a force responsible for pushing genes to states of higher translational efficiency, whereas lower translational efficiency has been explained by neutral ...

Neafsey, Daniel E.

246

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

247

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

248

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

249

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

250

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...

251

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

252

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

253

"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...

254

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....

255

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....

256

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....

257

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....

258

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

259

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

260

Plant Wide Assessment of Energy Usage Utilizing SitEModelling as a Tool for Optimizing Energy Consumption  

SciTech Connect

The Evonik Degussa Corporation is the global market leader in the specialty chemicals industry. Innovative products and system solutions make an indispensable contribution to our customers' success. We refer to this as "creating essentials". In fiscal 2004, Degussa's 45,000 employees worldwide generated sales of 11.2 billion euros and operating profits (EBIT) of 965 million euros. Evonik Degussa Corporation has performed a plant wide energy usage assessment at the Mapleton, Illinois facility, which consumed 1,182,330 MMBTU in 2003. The purpose of this study was to identify opportunities for improvement regarding the plant’s utility requirements specific to their operation. The production is based mainly on natural gas usage for steam, process heating and hydrogen production. The current high price for natural gas in the US is not very competitive compared to other countries. Therefore, all efforts must be taken to minimize the utility consumption in order to maximize market position and minimize fixed cost increases due to the rising costs of energy. The main objective of this plant wide assessment was to use a methodology called Site Energy Modelling (SitE Modelling) to identify areas of potential improvement for energy savings, either in implementing a single process change or in changing the way different processes interact with each other. The overall goal was to achieve energy savings of more than 10% compared to the 2003 energy figures of the Mapleton site. The final savings breakdown is provided below: - 4.1% savings for steam generation and delivery These savings were accomplished through better control schemes, more constant and optimized loading of the boilers and increased boiler efficiency through an advanced control schemes. - 1.6% savings for plant chemical processing These saving were accomplished through optimized processing heating efficiency and batch recipes, as well as an optimized production schedule to help equalize the boiler load (e.g. steam consumption).

Ralf Janowsky, Ph.D.; Tracey Mole, Ph.D.

2007-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "usage kwh natural" 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

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

262

Searching, naturally  

Science Conference Proceedings (OSTI)

Keywords: artificial intelligence, computational linguistics, information retrieval, knowledge representation, natural language processing, text processing

Eileen E. Allen

1998-06-01T23:59:59.000Z

263

Economics and policy implications of industrial fuel usage  

Science Conference Proceedings (OSTI)

The nation's use of wood as fuel is put into perspective, recognizing constraints imposed by governmental initiatives and actions. The forest product industry, and its use of wood for energy, is surveyed. The effect of PURPA on this industry, the nation's leader in cogeneration, is discussed. Proposed energy taxes would reverse recent trends in energy conservation. Low sulphur content frees wood and its residues from environmental legislation. Federal funding is needed to determine the extent of the economically accessible fuel wood. The proposed deregulation of natural gas will affect wood use adversely.

Slinn, D.J.

1983-06-01T23:59:59.000Z

264

"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

265

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")

266

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

267

"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

268

"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

269

"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

270

"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

271

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

272

"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

273

Reducing fuel usage through applications of conservation and solar energy  

Science Conference Proceedings (OSTI)

Solar thermal technology, coupled with aggressive conservation measures, offers the prospect of greatly reducing the dependence of industry on oil and natural gas. The near-term market for solar technology is largely in industrial processes operating at temperatures below 288/sup 0/C (550/sup 0/F). Such process heat can be supplied by the relatively unsophisticated solar equipment available today. The number and diversity of industrial plants using process heat at this temperature allows favorable matches between solar technologies and industrial processes. The problems involved with the installation and maintenance of conservation and solar equipment are similar. Both compete for scarce investment capital, and each complicates industrial operations and increases maintenance requirements. Technological innovations requiring new types of equipment and reducing the temperature requirements of industrial processes favor the introduction of solar hardware. The industrial case studies program at the Solar Energy Research Institute has examined technical, economic, and other problems facing the near-term application of solar thermal technology to provide industrial process heat. The plant engineer is in the front line of any measure to reduce energy consumption or to supplement existing fuel supplies. The conditions most favorable to the integration of solar technology are presented and illustrated with examples from actual industrial plants.

May, E. K.; Hooker, D. W.

1980-04-01T23:59:59.000Z

274

" 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"

275

" 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"

276

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

277

Natural Gas  

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

The Energy Department supports research and policy options to ensure environmentally sustainable domestic and global supplies of oil and natural gas.

278

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. Zaďane; Myra Spiliopoulou; Bamshad Mobasher; Brij Masand; Philip S. YU

2005-12-01T23:59:59.000Z

279

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

280

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

Note: This page contains sample records for the topic "usage kwh natural" 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

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

282

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

283

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

284

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

285

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

286

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

287

"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...

288

"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...

289

"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...

290

"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...

291

"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....

292

"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...

293

"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...

294

"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...

295

"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...

296

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

297

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"

298

Don`t overlook natural gas cooling equipment  

Science Conference Proceedings (OSTI)

If one thought the confusion surrounding chiller specification and operation ended with the availability of CFC-free refrigerant alternatives, think again. Plant engineers involved in the selection and installation of cooling equipment are facing yet another complicated task, this time thanks to deregulation of the electric utility industry. Still in its early stages, deregulation is a process that could take up to a decade. However, deregulation is also bringing about changing pricing structures. Electric power costs may not always be low for everyone. For plants paying $0.02/kwh for electricity, an electric-powered chiller is a must. But those paying $0.35 or $0.40/kwh, even for a few hours, cannot afford NOT to consider something besides an electric-motor-driven chiller. Among the most viable, yet often overlooked, options available is natural gas cooling. Gas cooling equipment gives industrial users the flexibility to choose either gas or electricity to drive their cooling systems. Natural gas cooling is defined here as the use of absorption cooling systems and engine-driven chillers, as alternatives to electric-driven equipment, to deliver chilled water in a conventional manner. Desiccant systems can also be gas fired and are used primarily for providing dry air for process control. Because of their specialized applications, desiccant cooling is not covered in this article.

Katzel, J.

1997-03-01T23:59:59.000Z

299

KWH_APS_DPP07_1Page.ppt  

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

Ion-Temperature and Rotation-Velocity Profiles from a Spatially Resolving X-Ray Crystal Spectrometer on Alcator C-Mod Ion-Temperature and Rotation-Velocity Profiles from a Spatially Resolving X-Ray Crystal Spectrometer on Alcator C-Mod K. W. Hill, 1 M. Bitter, 1 P. Beiersdorfer, 3 Ch. Broennimann, 4 E. F. Eikenberry, 4 A. Ince-Cushman, 2 Ming-Feng Gu, 3 S. G. Lee, 5 M. Reinke, 2 J. E. Rice, 2 S. D. Scott, 1 and B. Stratton 1 1 Princeton Plasma Physics Laboratory, Princeton, NJ 2 MIT Plasma Science and Fusion Center, Cambridge, MA 3 LLNL, Livermore, CA 4 DECTRIS Ltd., 5232 Villigen-PSI, Switzerland 5 NFRC, Korea Basic Science Institute, Daejeon, Korea Abstract A new x-ray crystal spectrometer capable of providing spatially (~1.5 cm) and temporally (~10 ms) resolved, high resolution spectra of He-like Ar Kα lines has been installed on Alcator C-Mod. The imaging spectrometer consists of a

300

Global Natural Gas Market Trends, 2. edition  

Science Conference Proceedings (OSTI)

The report provides an overview of major trends occurring in the natural gas industry and includes a concise look at the drivers behind recent rapid growth in gas usage and the challenges faced in meeting that growth. Topics covered include: an overview of Natural Gas including its history, the current market environment, and its future market potential; an analysis of the overarching trends that are driving a need for change in the Natural Gas industry; a description of new technologies being developed to increase production of Natural Gas; an evaluation of the potential of unconventional Natural Gas sources to supply the market; a review of new transportation methods to get Natural Gas from producing to consuming countries; a description of new storage technologies to support the increasing demand for peak gas; an analysis of the coming changes in global Natural Gas flows; an evaluation of new applications for Natural Gas and their impact on market sectors; and, an overview of Natural Gas trading concepts and recent changes in financial markets.

NONE

2007-07-15T23:59:59.000Z

Note: This page contains sample records for the topic "usage kwh natural" 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

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

302

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

303

Natural gas  

E-Print Network (OSTI)

www.eia.gov Over time the electricity mix gradually shifts to lower-carbon options, led by growth in natural gas and renewable generation U.S. electricity net generation trillion kilowatthours 6

Adam Sieminski Administrator; Adam Sieminski Usnic; Adam Sieminski Usnic

2013-01-01T23:59:59.000Z

304

Natural Gas  

U.S. Energy Information Administration (EIA)

Natural Gas. Under the baseline winter weather scenario, EIA expects end-of-October working gas inventories will total 3,830 billion cubic feet (Bcf) and end March ...

305

Natural Energy  

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

originate? I need to give the intitial natural source of this energy. Replies: The energy source for most known organisms is the sun. Some organisms, such as deep-sea vent fauna...

306

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...

307

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......................................................

308

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

309

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

310

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

311

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

312

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

313

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...................................................

314

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

315

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

316

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

317

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

318

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..............................................

319

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

320

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

Note: This page contains sample records for the topic "usage kwh natural" 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

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

322

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

323

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

324

Natural System  

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

Natural System Natural System Evaluation and Tool Development - FY11 Progress Report Prepared for U.S. Department of Energy Used Fuel Disposition Program Yifeng Wang (SNL) Michael Simpson (INL) Scott Painter (LANL) Hui-Hai Liu (LBNL) Annie B. Kersting (LLNL) July 15, 2011 FCRD-USED-2011-000223 UFD Natural System Evaluation - FY11 Year-End Report July 15, 2011 2 DISCLAIMER This information was prepared as an account of work sponsored by an agency of the U.S. Government. Neither the U.S. Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness, of any information, apparatus, product, or process disclosed, or represents that its use would not infringe

325

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

134,294 32,451 0.37 0 0.00 32 1.09 43,764 0.83 10,456 0.38 39,786 1.26 126,488 0.63 C o n n e c t i c u t Connecticut 54. Summary Statistics for Natural Gas Connecticut, 1992-1996...

326

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

0 0.00 53 1.81 147,893 2.82 7,303 0.27 93,816 2.97 398,581 1.99 W i s c o n s i n Wisconsin 97. Summary Statistics for Natural Gas Wisconsin, 1992-1996 Table 1992 1993 1994...

327

Natural games  

E-Print Network (OSTI)

Behavior in the context of game theory is described as a natural process that follows the 2nd law of thermodynamics. The rate of entropy increase as the payoff function is derived from statistical physics of open systems. The thermodynamic formalism relates everything in terms of energy and describes various ways to consume free energy. This allows us to associate game theoretical models of behavior to physical reality. Ultimately behavior is viewed as a physical process where flows of energy naturally select ways to consume free energy as soon as possible. This natural process is, according to the profound thermodynamic principle, equivalent to entropy increase in the least time. However, the physical portrayal of behavior does not imply determinism. On the contrary, evolutionary equation for open systems reveals that when there are three or more degrees of freedom for behavior, the course of a game is inherently unpredictable in detail because each move affects motives of moves in the future. Eventually, when no moves are found to consume more free energy, the extensive-form game has arrived at a solution concept that satisfies the minimax theorem. The equilibrium is Lyapunov-stable against variation in behavior within strategies but will be perturbed by a new strategy that will draw even more surrounding resources to the game. Entropy as the payoff function also clarifies motives of collaboration and subjective nature of decision making.

Jani Anttila; Arto Annila

2011-03-05T23:59:59.000Z

328

Natural Gas  

Annual Energy Outlook 2012 (EIA)

3.91 119,251 0.60 229 7.81 374,824 7.15 2,867 0.10 189,966 6.01 915,035 4.57 O h i o Ohio 83. Summary Statistics for Natural Gas Ohio, 1992-1996 Table 1992 1993 1994 1995 1996...

329

Natural Gas  

Annual Energy Outlook 2012 (EIA)

10,799 1,953 0.02 0 0.00 0 0.00 2,523 0.05 24 0.00 2,825 0.09 7,325 0.04 V e r m o n t Vermont 93. Summary Statistics for Natural Gas Vermont, 1992-1996 Table 1992 1993 1994 1995...

330

Natural Gas  

Annual Energy Outlook 2012 (EIA)

845,998 243,499 2.75 135,000 0.68 35 1.19 278,606 5.32 7,239 0.26 154,642 4.90 684,022 3.42 P e n n s y l v a n i a Pennsylvania 86. Summary Statistics for Natural Gas...

331

Liquefied Natural Gas for Trucks and Buses  

DOE Green Energy (OSTI)

Liquefied natural gas (LNG) is being developed as a heavy vehicle fuel. The reason for developing LNG is to reduce our dependency on imported oil by eliminating technical and costs barriers associated with its usage. The U.S. Department of Energy (DOE) has a program, currently in its third year, to develop and advance cost-effective technologies for operating and refueling natural gas-fueled heavy vehicles (Class 7-8 trucks). The objectives of the DOE Natural Gas Vehicle Systems Program are to achieve market penetration by reducing vehicle conversion and fuel costs, to increase consumer acceptance by improving the reliability and efficiency, and to improve air quality by reducing tailpipe emissions. One way to reduce fuel costs is to develop new supplies of cheap natural gas. Significant progress is being made towards developing more energy-efficient, low-cost, small-scale natural gas liquefiers for exploiting alternative sources of natural gas such as from landfill and remote gas sites. In particular, the DOE program provides funds for research and development in the areas of; natural gas clean up, LNG production, advanced vehicle onboard storage tanks, improved fuel delivery systems and LNG market strategies. In general, the program seeks to integrate the individual components being developed into complete systems, and then demonstrate the technology to establish technical and economic feasibility. The paper also reviews the importance of cryogenics in designing LNG fuel delivery systems.

James Wegrzyn; Michael Gurevich

2000-06-19T23:59:59.000Z

332

"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"

333

"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)"

334

"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)"

335

"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)"

336

"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"

337

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

,366 ,366 95,493 1.08 0 0.00 1 0.03 29,406 0.56 1,206 0.04 20,328 0.64 146,434 0.73 - Natural Gas 1996 Million Percent of Million Percent of Cu. Feet National Total Cu. Feet National Total Net Interstate Movements: Industrial: Marketed Production: Vehicle Fuel: Deliveries to Consumers: Electric Residential: Utilities: Commercial: Total: South Carolina South Carolina 88. Summary Statistics for Natural Gas South Carolina, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ...........................................

338

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

0,216 0,216 50,022 0.56 135 0.00 49 1.67 85,533 1.63 8,455 0.31 45,842 1.45 189,901 0.95 - Natural Gas 1996 Million Percent of Million Percent of Cu. Feet National Total Cu. Feet National Total Net Interstate Movements: Industrial: Marketed Production: Vehicle Fuel: Deliveries to Consumers: Electric Residential: Utilities: Commercial: Total: M a r y l a n d Maryland 68. Summary Statistics for Natural Gas Maryland, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... NA NA NA NA NA Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 9 7 7 7 8 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 33 28 26 22 135 From Oil Wells ...........................................

339

http://www.hnei.hawaii.edu/ HAWAI`I NATURAL ENERGY INSTITUTE  

E-Print Network (OSTI)

in the future, Ability to operate the electrical utility with reduced usage of fossil fuels and to gain Institution Team Partners: Hawai`i Natural Energy Institute Hawaiian Electric Company http://www.heco.com General Electric Company http://ge.geglobalresearch.com Period of Performance: 10/1/08 to 06/30/10 Project

340

Distributed Energy Resources On-Site Optimization for Commercial Buildings with Electric and Thermal Storage Technologies  

E-Print Network (OSTI)

electricity ($/kWh) demand ($/kW) Natural Gas $/kWh fixed (electricity ($/kWh) demand ($/kW) Natural Gas $/kWh fixed (demand via utility purchases and burns natural gas to meet

Stadler, Michael

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage kwh natural" 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

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

342

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

343

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

344

Natural networks  

E-Print Network (OSTI)

Scale-free and non-computable characteristics of natural networks are found to result from the least-time dispersal of energy. To consider a network as a thermodynamic system is motivated since ultimately everything that exists can be expressed in terms of energy. According to the variational principle, the network will grow and restructure when flows of energy diminish energy differences between nodes as well as relative to nodes in surrounding systems. The natural process will yield scale-free characteristics because the nodes that contribute to the least-time consumption of free energy preferably attach to each other. Network evolution is a path-dependent and non-deterministic process when there are two or more paths to consume a common source of energy. Although evolutionary courses of these non-Hamiltonian systems cannot be predicted, many mathematical functions, models and measures that characterize networks can be recognized as appropriate approximations of the thermodynamic equation of motion that has been derived from statistical physics of open systems.

Tuomo Hartonen; Arto Annila

2011-06-21T23:59:59.000Z

345

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

346

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........................................................

347

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

348

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

349

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

350

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

351

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

352

A Study of the Electrical Energy Usage Patterns of a Texas Dairy  

E-Print Network (OSTI)

A one-year study was done on a modern dairy operation located in Hopkins County, Texas to determine the load patterns and total energy use of the major electrical loads in the dairy. It was found that the vacuum pumps for the milking machines consumed the most energy, followed by the water heater and milk coolers. Consumption for water heating and milk cooling was found to vary seasonally. Peak demands for the dairy occurred at 6 a.m. and 5 p.m. throughout the year during the morning and afternoon milkings. The morning peak occurred two hours prior to Texas Power & Light Company's winter peak hour, and the evening peak is coincident with TP&L's summer peak hour. It was estimated that a savings of approximately 33% on water heating kWh was attained through a waste heat recovery system connected to the milk coolers. The water heating load was found to have the highest load factor coincident with TP&L's summer peak of any of the loads monitored.

Schneider, K. C.; Pollard, K. W.

1984-01-01T23:59:59.000Z

353

Data:A1a173d1-4706-4c8e-97bb-6026f1206bc3 | Open Energy Information  

Open Energy Info (EERE)

commercial user and available at consumer's service location, whose average usage monthly energy usage is less than 10,000 kWh per month. Fixed Monthly Charge includes 1st 100 kWh...

354

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

68,747 68,747 34,577 0.39 0 0.00 34 1.16 14,941 0.29 0 0.00 11,506 0.36 61,058 0.31 I d a h o Idaho 60. Summary Statistics for Natural Gas Idaho, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 0 0 0 0 0 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease Separation.......................... 0 0 0 0 0 Vented

355

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

0 0 0 0.00 0 0.00 0 0.00 540 0.01 0 0.00 2,132 0.07 2,672 0.01 H a w a i i Hawaii 59. Summary Statistics for Natural Gas Hawaii, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 0 0 0 0 0 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease Separation.......................... 0 0 0 0 0 Vented and Flared

356

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

483,052 483,052 136,722 1.54 6,006 0.03 88 3.00 16,293 0.31 283,557 10.38 41,810 1.32 478,471 2.39 F l o r i d a Florida 57. Summary Statistics for Natural Gas Florida, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 47 50 98 92 96 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 7,584 8,011 8,468 7,133 6,706 Total.............................................................. 7,584 8,011 8,468 7,133 6,706 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ...............

357

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

291,898 291,898 113,995 1.29 0 0.00 4 0.14 88,078 1.68 3,491 0.13 54,571 1.73 260,140 1.30 I o w a Iowa 63. Summary Statistics for Natural Gas Iowa, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 0 0 0 0 0 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease Separation.......................... 0 0 0

358

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel: Vehicle Fuel: Deliveries to Consumers: Electric Residential: Utilities: Commercial: Total: New England New England 36. Summary Statistics for Natural Gas New England, 1992-1996 Table 691,089 167,354 1.89 0 0.00 40 1.36 187,469 3.58 80,592 2.95 160,761 5.09 596,215 2.98 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 0 0 0 0 0 Repressuring ................................................

359

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

42,980 42,980 14,164 0.16 0 0.00 1 0.03 9,791 0.19 23,370 0.86 6,694 0.21 54,020 0.27 D e l a w a r e Delaware 55. Summary Statistics for Natural Gas Delaware, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 0 0 0 0 0 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease Separation..........................

360

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

-49,536 -49,536 7,911 0.09 49,674 0.25 15 0.51 12,591 0.24 3 0.00 12,150 0.38 32,670 0.16 North Dakota North Dakota 82. Summary Statistics for Natural Gas North Dakota, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 496 525 507 463 462 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 104 101 104 99 108 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 12,461 18,892 19,592 16,914 16,810 From Oil Wells ........................................... 47,518 46,059 43,640 39,760 38,906 Total.............................................................. 59,979 64,951 63,232 56,674 55,716 Repressuring ................................................

Note: This page contains sample records for the topic "usage kwh natural" 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

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

21,547 21,547 4,916 0.06 0 0.00 0 0.00 7,012 0.13 3 0.00 7,099 0.22 19,031 0.10 N e w H a m p s h i r e New Hampshire 77. Summary Statistics for Natural Gas New Hampshire, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 0 0 0 0 0 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease Separation..........................

362

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

139,881 139,881 26,979 0.30 463 0.00 115 3.92 27,709 0.53 19,248 0.70 28,987 0.92 103,037 0.52 A r i z o n a Arizona 50. Summary Statistics for Natural Gas Arizona, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... NA NA NA NA NA Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 6 6 6 7 7 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 721 508 711 470 417 From Oil Wells ........................................... 72 110 48 88 47 Total.............................................................. 794 618 759 558 464 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease

363

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Middle Middle Atlantic Middle Atlantic 37. Summary Statistics for Natural Gas Middle Atlantic, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 1,857 1,981 2,042 1,679 1,928 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 36,906 36,857 26,180 37,159 38,000 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 161,372 152,717 140,444 128,677 152,494 From Oil Wells ........................................... 824 610 539 723 641 Total.............................................................. 162,196 153,327 140,982 129,400 153,134 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed

364

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

386,690 386,690 102,471 1.16 0 0.00 43 1.47 142,319 2.72 5,301 0.19 98,537 3.12 348,671 1.74 M i n n e s o t a Minnesota 71. Summary Statistics for Natural Gas Minnesota, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 0 0 0 0 0 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease Separation..........................

365

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

1,108,583 1,108,583 322,275 3.63 298 0.00 32 1.09 538,749 10.28 25,863 0.95 218,054 6.90 1,104,972 5.52 I l l i n o i s Illinois 61. Summary Statistics for Natural Gas Illinois, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... NA NA NA NA NA Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 382 385 390 372 370 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 337 330 323 325 289 From Oil Wells ........................................... 10 10 10 10 9 Total.............................................................. 347 340 333 335 298 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ...............

366

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

286,485 286,485 71,533 0.81 25 0.00 31 1.06 137,225 2.62 5,223 0.19 72,802 2.31 286,814 1.43 M i s s o u r i Missouri 73. Summary Statistics for Natural Gas Missouri, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... NA NA NA NA NA Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 5 8 12 15 24 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 27 14 8 16 25 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 27 14 8 16 25 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease Separation..........................

367

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

411,951 411,951 100,015 1.13 0 0.00 5 0.17 114,365 2.18 45,037 1.65 96,187 3.05 355,609 1.78 Massachusetts Massachusetts 69. Summary Statistics for Natural Gas Massachusetts, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 0 0 0 0 0 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease Separation..........................

368

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

226,798 226,798 104,124 1.17 0 0.00 0 0.00 58,812 1.12 2,381 0.09 40,467 1.28 205,783 1.03 North Carolina North Carolina 81. Summary Statistics for Natural Gas North Carolina, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 0 0 0 0 0 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease Separation..........................

369

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

29,693 29,693 0 0.00 0 0.00 6 0.20 17,290 0.33 0 0.00 16,347 0.52 33,644 0.17 District of Columbia District of Columbia 56. Summary Statistics for Natural Gas District of Columbia, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 0 0 0 0 0 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 0 0 0 0 0 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 0 0 0 0 0 Repressuring ................................................ 0 0 0 0 0 Nonhydrocarbon Gases Removed ............... 0 0 0 0 0 Wet After Lease Separation..........................

370

Preliminary engineering analysis for clothes washers  

E-Print Network (OSTI)

This is total washer and dryer energy usage in kWh for anenergy usage to the rated volume by dividing the clothes container volume by the total

Biermayer, Peter J.

1996-01-01T23:59:59.000Z

371

--No Title--  

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

indicates the solar array would reduce kWh usage leading to a significant savings in energy usage and cost. Energy Efficiency and Conservation Block Grants Alatna Village...

372

Go HERE for the NIST role SEC. 1301. STATEMENT OF ...  

Science Conference Proceedings (OSTI)

... purchasers. `(ii) USAGE- Purchasers shall be provided with the number of electricity units, expressed in kwh, purchased by them. ...

2010-05-03T23:59:59.000Z

373

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

73,669 73,669 141,300 1.59 221,822 1.12 3 0.10 46,289 0.88 33,988 1.24 31,006 0.98 252,585 1.26 A r k a n s a s Arkansas 51. Summary Statistics for Natural Gas Arkansas, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 1,750 1,552 1,607 1,563 1,470 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 3,500 3,500 3,500 3,988 4,020 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 171,543 166,273 161,967 161,390 182,895 From Oil Wells ........................................... 39,364 38,279 33,446 33,979 41,551 Total.............................................................. 210,906 204,552 195,413 195,369 224,446 Repressuring ................................................

374

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

-1,080,240 -1,080,240 201,024 2.27 1,734,887 8.78 133 4.54 76,629 1.46 136,436 4.99 46,152 1.46 460,373 2.30 O k l a h o m a Oklahoma 84. Summary Statistics for Natural Gas Oklahoma, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 13,926 13,289 13,487 13,438 13,074 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 28,902 29,118 29,121 29,733 29,733 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 1,674,405 1,732,997 1,626,858 1,521,857 1,467,695 From Oil Wells ........................................... 342,950 316,945 308,006 289,877 267,192 Total.............................................................. 2,017,356 2,049,942 1,934,864

375

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

7,038,115 7,038,115 3,528,911 39.78 13,646,477 69.09 183 6.24 408,861 7.80 1,461,718 53.49 281,452 8.91 5,681,125 28.40 West South Central West South Central 42. Summary Statistics for Natural Gas West South Central, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 87,198 84,777 88,034 88,734 62,357 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 92,212 95,288 94,233 102,525 102,864 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 11,599,913 11,749,649 11,959,444 11,824,788 12,116,665 From Oil Wells ........................................... 2,313,831 2,368,395 2,308,634 2,217,752 2,151,247 Total..............................................................

376

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

77,379 77,379 94,481 1.07 81,435 0.41 8 0.27 70,232 1.34 1,836 0.07 40,972 1.30 207,529 1.04 K e n t u c k y Kentucky 65. Summary Statistics for Natural Gas Kentucky, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 1,084 1,003 969 1,044 983 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 12,483 12,836 13,036 13,311 13,501 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 79,690 86,966 73,081 74,754 81,435 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. 79,690 86,966 73,081 74,754 81,435 Repressuring ................................................

377

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

-67,648 -67,648 75,616 0.85 480,828 2.43 0 0.00 16,720 0.32 31,767 1.16 29,447 0.93 153,549 0.77 Pacific Noncontiguous Pacific Noncontiguous 45. Summary Statistics for Natural Gas Pacific Noncontiguous, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 9,638 9,907 9,733 9,497 9,294 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 112 113 104 100 102 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 198,603 190,139 180,639 179,470 183,747 From Oil Wells ........................................... 2,427,110 2,588,202 2,905,261 3,190,433 3,189,837 Total.............................................................. 2,625,713 2,778,341

378

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

-310,913 -310,913 110,294 1.24 712,796 3.61 2 0.07 85,376 1.63 22,607 0.83 57,229 1.81 275,508 1.38 K a n s a s Kansas 64. Summary Statistics for Natural Gas Kansas, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 9,681 9,348 9,156 8,571 7,694 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 18,400 19,472 19,365 22,020 21,388 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 580,572 605,578 628,900 636,582 629,755 From Oil Wells ........................................... 79,169 82,579 85,759 86,807 85,876 Total.............................................................. 659,741 688,157 714,659 723,389 715,631 Repressuring ................................................

379

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

819,046 819,046 347,043 3.91 245,740 1.24 40 1.36 399,522 7.62 32,559 1.19 201,390 6.38 980,555 4.90 M i c h i g a n Michigan 70. Summary Statistics for Natural Gas Michigan, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 1,223 1,160 1,323 1,294 2,061 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 3,257 5,500 6,000 5,258 5,826 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 120,287 126,179 136,989 146,320 201,123 From Oil Wells ........................................... 80,192 84,119 91,332 97,547 50,281 Total.............................................................. 200,479 210,299 228,321 243,867 251,404 Repressuring ................................................

380

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

W W y o m i n g -775,410 50,253 0.57 666,036 3.37 14 0.48 13,534 0.26 87 0.00 9,721 0.31 73,609 0.37 Wyoming 98. Summary Statistics for Natural Gas Wyoming, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 10,826 10,933 10,879 12,166 12,320 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 3,111 3,615 3,942 4,196 4,510 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 751,693 880,596 949,343 988,671 981,115 From Oil Wells ........................................... 285,125 142,006 121,519 111,442 109,434 Total.............................................................. 1,036,817 1,022,602 1,070,862 1,100,113 1,090,549 Repressuring

Note: This page contains sample records for the topic "usage kwh natural" 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

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

-67,648 -67,648 75,616 0.85 480,828 2.43 0 0.00 16,179 0.31 31,767 1.16 27,315 0.86 150,877 0.75 A l a s k a Alaska 49. Summary Statistics for Natural Gas Alaska, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 9,638 9,907 9,733 9,497 9,294 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 112 113 104 100 102 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 198,603 190,139 180,639 179,470 183,747 From Oil Wells ........................................... 2,427,110 2,588,202 2,905,261 3,190,433 3,189,837 Total.............................................................. 2,625,713 2,778,341 3,085,900 3,369,904 3,373,584 Repressuring

382

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

628,189 628,189 449,511 5.07 765,699 3.88 100 3.41 528,662 10.09 39,700 1.45 347,721 11.01 1,365,694 6.83 West North Central West North Central 39. Summary Statistics for Natural Gas West North Central, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 10,177 9,873 9,663 9,034 8,156 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 18,569 19,687 19,623 22,277 21,669 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 594,551 626,728 651,594 655,917 648,822 From Oil Wells ........................................... 133,335 135,565 136,468 134,776 133,390 Total.............................................................. 727,886 762,293

383

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

1,048,760 1,048,760 322,661 3.64 18,131 0.09 54 1.84 403,264 7.69 142,688 5.22 253,075 8.01 1,121,742 5.61 N e w Y o r k New York 80. Summary Statistics for Natural Gas New York, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 329 264 242 197 232 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 5,906 5,757 5,884 6,134 6,208 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 22,697 20,587 19,937 17,677 17,494 From Oil Wells ........................................... 824 610 539 723 641 Total.............................................................. 23,521 21,197 20,476 18,400 18,134 Repressuring ................................................

384

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

1,554,530 1,554,530 311,229 3.51 3,094,431 15.67 442 15.08 299,923 5.72 105,479 3.86 210,381 6.66 927,454 4.64 Mountain Mountain 43. Summary Statistics for Natural Gas Mountain, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 38,711 38,987 37,366 39,275 38,944 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 30,965 34,975 38,539 38,775 41,236 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 2,352,729 2,723,393 3,046,159 3,131,205 3,166,689 From Oil Wells ........................................... 677,771 535,884 472,397 503,986 505,903 Total.............................................................. 3,030,499 3,259,277 3,518,556

385

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

1,592,465 1,592,465 716,648 8.08 239,415 1.21 182 6.21 457,792 8.73 334,123 12.23 320,153 10.14 1,828,898 9.14 South Atlantic South Atlantic 40. Summary Statistics for Natural Gas South Atlantic, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 3,307 3,811 4,496 4,427 4,729 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 39,412 35,149 41,307 37,822 36,827 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 206,766 208,892 234,058 236,072 233,409 From Oil Wells ........................................... 7,584 8,011 8,468 7,133 6,706 Total.............................................................. 214,349 216,903 242,526 243,204 240,115

386

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

1,999,161 1,999,161 895,529 10.10 287,933 1.46 1,402 47.82 569,235 10.86 338,640 12.39 308,804 9.78 2,113,610 10.57 Pacific Contiguous Pacific Contiguous 44. Summary Statistics for Natural Gas Pacific Contiguous, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 3,896 3,781 3,572 3,508 2,082 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 1,142 1,110 1,280 1,014 996 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... 156,635 124,207 117,725 96,329 88,173 From Oil Wells ........................................... 294,800 285,162 282,227 289,430 313,581 Total.............................................................. 451,435 409,370

387

Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

-122,394 -122,394 49,997 0.56 178,984 0.91 5 0.17 37,390 0.71 205 0.01 28,025 0.89 115,622 0.58 West Virginia West Virginia 96. Summary Statistics for Natural Gas West Virginia, 1992-1996 Table 1992 1993 1994 1995 1996 Reserves (billion cubic feet) Estimated Proved Reserves (dry) as of December 31 ....................................... 2,356 2,439 2,565 2,499 2,703 Number of Gas and Gas Condensate Wells Producing at End of Year.............................. 38,250 33,716 39,830 36,144 35,148 Production (million cubic feet) Gross Withdrawals From Gas Wells ......................................... E 182,000 171,024 183,773 186,231 178,984 From Oil Wells ........................................... 0 0 0 0 0 Total.............................................................. E 182,000 171,024 183,773 186,231 178,984 Repressuring ................................................

388

"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

389

"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

390

"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

391

"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"

392

"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

393

"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

394

"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

395

"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

396

"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

397

" 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"

398

"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

399

"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

400

"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

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


401

"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

402

"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

403

"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"

404

"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"

405

"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

406

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

407

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

408

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

409

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

410

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

411

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

412

A NOVEL CONCEPT FOR REDUCING WATER USAGE AND INCREASING EFFICIENCY IN POWER GENERATION  

DOE Green Energy (OSTI)

The objective of the project is to apply a unique ice thermal storage (ITS) technology to cooling the intake air to gas turbines used for power generation. In Phase I, the work includes theoretical analysis, computer simulation, engineering design and cost evaluation of this novel ITS technology. The study includes two typical gas turbines (an industrial and an aeroderivative type gas turbine) operated at two different geographic locations: Phoenix, AZ and Houston, TX. Simulation runs are performed to generate data for both power output (KW) and heat rate (Btu/KWh) as well as water recovery (acre ft/yr) in terms of intake air temperature and humidity based on weather data and turbine performance curves. Preliminary engineering design of a typical equipment arrangement for turbine inlet air-cooling operation using the ITS system is presented. A cost analysis has been performed to demonstrate the market viability of the ITS technology. When the ITS technology is applied to gas turbines, a net power gain up to 40% and a heat rate reduction as much as 7% can be achieved. In addition, a significant amount of water can be recovered (up to 200 acre-ft of water per year for a 50 MW turbine). The total cost saving is estimated to be $500,000/yr for a 50 MW gas turbine generator. These results have clearly demonstrated that the use of ITS technology to cool the intake-air to gas turbines is an efficient and cost effective means to improve the overall performance of its power generation capacity with an important added benefit of water recovery in power plant operation. Thus, further development of ITS technology for commercial applications in power generation, particularly in coal-based IGCC power plants is warranted.

Shiao-Hung Chiang; Guy Weismantel

2004-03-01T23:59:59.000Z

413

Cool roofs as an energy conservation measure for federal buildings  

E-Print Network (OSTI)

31000 kWh yr -1 and annual gas usage is 0.0732 × 7200 = 527= 26700 kWh yr -1 and annual gas usage is 0.081 × 7200 = 580electricity usage (kWh yr -1 ), 2) annual gas energy use (

Taha, Haider; Akbari, Hashem

2003-01-01T23:59:59.000Z

414

Unconventional Natural Gas  

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

Natural Gas Unconventional Natural Gas Los Alamos scientists are committed to the efficient and environmentally-safe development of major U.S. natural gas and oil resources....

415

,"Texas Natural Gas Summary"  

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

Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)","Texas Natural Gas Imports Price (Dollars per Thousand Cubic Feet)","Price of Texas Natural Gas Exports...

416

,"Mississippi Natural Gas Summary"  

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

Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)","Mississippi Natural Gas Imports Price All Countries (Dollars per Thousand Cubic Feet)","Mississippi Natural Gas...

417

,"Montana Natural Gas Summary"  

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

Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)","Montana Natural Gas Imports Price (Dollars per Thousand Cubic Feet)","Price of Montana Natural Gas Exports...

418

,"Michigan Natural Gas Summary"  

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

Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)","Michigan Natural Gas Imports Price (Dollars per Thousand Cubic Feet)","Price of Michigan Natural Gas Exports...

419

SRNL - Natural Attenuation Monitor  

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

Natural Attenuation Monitor covers Natural Attenuation Monitor Published by the US DOE Monitored Natural Attenuation and Enhanced Attenuation for Chlorinated Solvents Technology...

420

Graphics Calculators In Developmental Mathematics—Policies 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

Note: This page contains sample records for the topic "usage kwh natural" 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

Natural Gas Vehicles  

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

Natural gas vehicles (NGVs) are either fueled exclusively with compressed natural gas or liquefied natural gas (dedicated NGVs) or are capable of natural gas and gasoline fueling (bi-fuel NGVs).

422

Chelan County PUD - Sustainable Natural Alternative Power Producers...  

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

Buying & Making Electricity Solar Home Weatherization Water Wind Maximum Rebate 1.50kWh Program Information District of Columbia Program Type Performance-Based Incentive...

423

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.

424

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

425

Public lecture (Dec. 11, 2013): "The Nature of Nano" | Argonne National  

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

Public lecture (Dec. 11, 2013): "The Nature of Nano" Public lecture (Dec. 11, 2013): "The Nature of Nano" Share Browse By - Any - Energy -Energy efficiency --Vehicles ---Alternative fuels ---Automotive engineering ---Diesel ---Electric drive technology ---Hybrid & electric vehicles ---Powertrain research --Building design ---Construction --Manufacturing -Energy sources --Renewable energy ---Bioenergy ---Solar energy --Fossil fuels ---Natural Gas --Nuclear energy ---Nuclear energy modeling & simulation ---Nuclear fuel cycle ---Reactors -Energy usage --Energy storage ---Batteries ----Lithium-ion batteries ----Lithium-air batteries --Electricity transmission --Smart Grid Environment -Biology --Computational biology --Environmental biology ---Metagenomics ---Terrestrial ecology --Molecular biology

426

Energy Conservation Potential in Natural Gas Fueled Reciprocating Engines - A Preliminary Market Evaluation  

E-Print Network (OSTI)

A study was undertaken of the usage rates of both fuel and lubricants in reciprocating engines fueled with natural gas. The study was conducted to determine the potential for energy conservation, if use is made of more fuel efficient natural gas engine oils. Governmental and non-governmental published reports and personal interviews with users, suppliers, and manufacturers were utilized in estimating fuel and lubricant consumption figures for the year 1976. Certain important facts emerged: 1) The installed horsepower of reciprocating engines fueled by natural gas was estimated at 38,800,000 hp. 2) Reciprocating engines fueled by natural gas operated an estimated 115.2 billion brake horsepower - hours. 3) Total natural gas consumed to operate these reciprocating engines in 1976 was estimated at 962 billion cubic feet. 4) The estimated crankcase and cylinder lubricants consumed in natural gas reciprocating engines in 1976 was 33.6 million gallons. This figure represents 2% of the total United States lubricant usage. 5) Widespread use of more fuel efficient crankcase and cylinder lubricants (containing stable colloidal additives) could result in a savings of 28,850,000,000 cubic feet of natural gas each year. The natural gas thus saved would be sufficient to serve all residential customers in the metropolitan Houston area for nine (9) months of each year.

Johnson, D. M.

1979-01-01T23:59:59.000Z

427

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

428

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

429

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

430

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

431

United States Senate Committee on Energy and Natural Resources | Department  

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

United States Senate Committee on Energy and Natural Resources United States Senate Committee on Energy and Natural Resources United States Senate Committee on Energy and Natural Resources February 7, 2007 - 10:15am Addthis Testimony of Energy Secretary Samuel Bodman Chairman Bingaman, Ranking Member Domenici, and members of the Committee, I am pleased to be with you this morning to present the President's FY 2008 budget proposal for the Department of Energy. Before I discuss the details of our budget proposal, I would like to briefly mention the President's energy initiatives announced during the State of the Union. As you know, President Bush asked Congress and America's scientists, farmers, industry leaders and entrepreneurs to join him in pursuing the goal of reducing U.S. gasoline usage by 20 percent in the next ten years. We have named this our "Twenty in Ten" plan and I

432

Natural gas storage on activated carbon  

SciTech Connect

Natural gas is a good fuel for internal combustion engines, but its low energy density is a significant drawback. The energy density can be increased by adsorption on a high surface area activated carbon. But with usage, some of the constituents in the natural gas composition accumulate on the carbon and reduce its adsorptivity. The adsorption desorption of natural gas on 9LXC activated carbon was investigated to 100 cycles at 21/sup 0/C and pressures of up to 12 MPa. The decrease in the capacity, G, as a function of the number of cycles, N, was found to follow the empirical correlation: G/G /SUB o/ = 1 - 0.085Log(N). Analysis of the activated carbon after 100 cycles showed accumulation of C/sub 4/ and higher hydrocarbons but not of C/sub 2/ and C/sub 3/. For automotive applications, activated carbon appears practical in a narrow pressure range, centering around 7 MPa (1000 psig). The preferred storage is at a pressure of 17 MPa or higher, without the use of activated carbons.

Golovoy, A.; Blais, E.J.

1983-10-01T23:59:59.000Z

433

THE APPLICATION OF A DATA MINING FRAMEWORK TO ENERGY USAGE PROFILING IN DOMESTIC RESIDENCES USING UK DATA  

E-Print Network (OSTI)

Abstract: This paper describes a method for defining representative load profiles for domestic electricity users in the UK. It considers bottom up and clustering methods and then details the research plans for implementing and improving existing framework approaches based on the overall usage profile. The work focuses on adapting and applying analysis framework approaches to UK energy data in order to determine the effectiveness of creating a few (single figures) archetypical users with the intention of improving on the current methods of determining usage profiles. The work is currently in progress and the paper details initial results using data collected in Milton Keynes around 1990. Various possible enhancements to the work are considered including a split based on temperature to reflect the varying UK weather conditions.

Ian Dent; Uwe Aickelin; Tom Rodden

2011-01-01T23:59:59.000Z

434

Home Consumer Perceptions about Landscape Water Conservation and Relationships with Historical Usage  

E-Print Network (OSTI)

Water is considered to be one of the most limited and precious resources on Earth. Due to this scarcity, water conservation has become essential in order to preserve water resources. Landscape plant material brings quality to urban and suburban lifestyles and increases value to home properties. Yet it has been shown that an excess amount of water is often applied to landscapes when the plant material does not in fact need the supplemental irrigation. A researcher based survey, the Landscape Water Conservation Survey, was sent to 799 single family homes in the College Station, TX. Data collection occurred from November 2005 through August 2006 with a 27% return. The survey asked the recipients 14 questions on water use and home consumers? perceptions. Historical landscape water usage was compiled from 2000-2002 which included actual water use, taxable value, of the residence, heated area, and the water meter identification number for these selected households supplied by The City of College Station Water Utilities. The survey indicates a strong disconnect between the amount of irrigation landscape plant materials need and the quantity of water that is actually applied. Surveyed home consumer perceptions demonstrate excessive amounts of irrigation were normally applied to landscape plant material when no irrigation was needed due to rainfall. Many respondents to The Landscape Water Management Survey indicated that they believed to have efficient irrigation practices in place when in actuality they do not. Educational resources are needed to teach the public on the amounts of irrigation landscape plant materials actually need, how to apply measured home irrigation practices, the principles of water conservation, and meeting the water requirements of varied landscape plant material. If these could be established and implemented, there would be a higher rate of conserving water and providing plant material with the sufficient amount of irrigation required.

Milberger, Whitney F.

2010-05-01T23:59:59.000Z

435

Regulation of natural monopolies  

E-Print Network (OSTI)

This chapter provides a comprehensive overview of the theoretical and empirical literature on the regulation of natural monopolies. It covers alternative definitions of natural monopoly, regulatory goals, alternative ...

Joskow, Paul L.

2005-01-01T23:59:59.000Z

436

Natural Gas Annual Archives  

U.S. Energy Information Administration (EIA)

Petroleum & Other Liquids. Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas

437

Liquefied Natural Gas  

U.S. Energy Information Administration (EIA)

Petroleum & Other Liquids. Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas

438

Natural Gas Weekly Update  

Annual Energy Outlook 2012 (EIA)

natural gas prices, successful application of horizontal drilling, and hydraulic fracturing, as well as significant investments made by natural gas companies in production...

439

Natural Gas Production  

U.S. Energy Information Administration (EIA)

Natural Gas Production. Measured By. Disseminated Through. Survey of Producing States and Mineral Management Service “Evolving Estimate” in Natural Gas Monthly.

440

EIA - Natural Gas Publications  

Annual Energy Outlook 2012 (EIA)

and a weather snapshot. Monthly Natural Gas Monthly Natural and supplemental gas production, supply, consumption, disposition, storage, imports, exports, and prices in the...

Note: This page contains sample records for the topic "usage kwh natural" 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

Natural Gas Exports (Summary)  

U.S. Energy Information Administration (EIA)

Estimates for Canadian pipeline volumes are derived from the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates of dry natural gas imports.

442

Natural Gas Weekly Update  

Annual Energy Outlook 2012 (EIA)

Release: Thursday, August 26, 2010 Overview Prices Storage Other Market Trends Natural Gas Transportation Update Overview (For the Week Ending Wednesday, August 18, 2010) Natural...

443

Natural Gas Weekly Update  

Annual Energy Outlook 2012 (EIA)

7, 2009 Next Release: May 14, 2009 Overview Prices Storage Other Market Trends Natural Gas Transportation Update Overview (For the Week Ending Wednesday, May 6, 2009) Natural gas...

444

Historical Natural Gas Annual  

Annual Energy Outlook 2012 (EIA)

8 The Historical Natural Gas Annual contains historical information on supply and disposition of natural gas at the national, regional, and State level as well as prices at...

445

Historical Natural Gas Annual  

Gasoline and Diesel Fuel Update (EIA)

7 The Historical Natural Gas Annual contains historical information on supply and disposition of natural gas at the national, regional, and State level as well as prices at...

446

Historical Natural Gas Annual  

Annual Energy Outlook 2012 (EIA)

6 The Historical Natural Gas Annual contains historical information on supply and disposition of natural gas at the national, regional, and State level as well as prices at...

447

Natural Gas Rules (Louisiana)  

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

The Louisiana Department of Natural Resources administers the rules that govern natural gas exploration and extraction in the state. DNR works with the Louisiana Department of Environmental...

448

"Table HC15.13 Lighting Usage Indicators by Four Most Populated States, 2005"  

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

3 Lighting Usage Indicators by Four Most Populated States, 2005" 3 Lighting Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Lighting Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,5.5,5.5,6.7,9.5 "1.",28.6,1.8,2,2.3,2.8 "2.",29.5,2.3,1.9,2,3.4 "3.",14.7,0.7,0.8,0.9,1.4 "4.",9.3,0.4,"Q",0.8,1.1 "5 or More",9.7,0.4,0.4,0.8,0.9 "Energy-Efficient Bulbs Used",31.1,1.7,1.7,2.1,4.7

449

"Table HC8.10 Home Appliances Usage Indicators by Urban/Rural Location, 2005"  

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

0 Home Appliances Usage Indicators by Urban/Rural Location, 2005" 0 Home Appliances Usage Indicators by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Home Appliances Usage Indicators",,"City","Town","Suburbs","Rural" "Total",111.1,47.1,19,22.7,22.3 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,3.7,1.6,1.4,1.5 "2 Times A Day",24.6,10.8,4.1,4.3,5.5 "Once a Day",42.3,17,7.2,8.7,9.3 "A Few Times Each Week",27.2,11.4,4.7,6.4,4.8 "About Once a Week",3.9,1.7,0.6,0.9,0.8 "Less Than Once a Week",4.1,2.2,0.6,0.8,0.5 "No Hot Meals Cooked",0.9,0.4,"Q","Q","Q"

450

"Table HC10.10 Home Appliances Usage Indicators by U.S. Census Regions, 2005"  

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

0 Home Appliances Usage Indicators by U.S. Census Regions, 2005" 0 Home Appliances Usage Indicators by U.S. Census Regions, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Appliances Usage Indicators",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,1.2,1.4,3,2.6 "2 Times A Day",24.6,4,5.8,8.3,6.6 "Once a Day",42.3,7.9,10.7,15,8.8 "A Few Times Each Week",27.2,6,5.6,10.9,4.7 "About Once a Week",3.9,0.6,0.9,1.6,0.7 "Less Than Once a Week",4.1,0.6,1.1,1.7,0.7 "No Hot Meals Cooked",0.9,0.3,"Q","Q",0.2

451

Urinary 1-hydroxypyrene concentrations in Chinese coke oven workers relative to job category, respirator usage, and cigarette smoking  

SciTech Connect

1-Hydroxypyrene (1-OHP) is a biomarker of recent exposure to polycyclic aromatic hydrocarbons (PAHs). We investigated whether urinary 1-OHP concentrations in Chinese coke oven workers (COWs) are modulated by job category, respirator usage, and cigarette smoking. The present cross-sectional study measured urinary 1-OHP concentrations in 197 COWs from Coking plant I and 250 COWs from Coking plant II, as well as 220 unexposed referents from Control plant I and 56 referents from Control plant II. Urinary 1-OHP concentrations (geometric mean, {mu}mol/mol creatinine) were 5.18 and 4.21 in workers from Coking plants I and II, respectively. The highest 1-OHP levels in urine were found among topside workers including lidmen, tar chasers, and whistlers. Benchmen had higher 1-OHP levels than other workers at the sideoven. Above 75% of the COWs exceeded the recommended occupational exposure limit of 2.3 {mu}mol/mol creatinine. Respirator usage and increased body mass index (BMI) slightly reduced 1-OHP levels in COWs. Cigarette smoking significantly increased urinary 1-OHP levels in unexposed referents but had no effect in COWs. Chinese COWs, especially topside workers and benchmen, are exposed to high levels of PAHs. Urinary 1-OHP concentrations appear to be modulated by respirator usage and BMI in COWs, as well as by smoking in unexposed referents.

Bo Chen; Yunping Hu; Lixing Zheng; Qiangyi Wang; Yuanfen Zhou; Taiyi Jin [Fudan University, Shanghai (China). School of Public Health

2007-09-15T23:59:59.000Z

452

"Table HC10.13 Lighting Usage Indicators by U.S. Census Region, 2005"  

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

3 Lighting Usage Indicators by U.S. Census Region, 2005" 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","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,16.8,21.7,33.8,19.5 "1.",28.6,5,6.3,11.2,6.1 "2.",29.5,6.2,6.5,10.5,6.3 "3.",14.7,2.5,4,5,3.1 "4.",9.3,1.5,2.5,3.4,1.9 "5 or More",9.7,1.6,2.4,3.7,2 "Energy-Efficient Bulbs Used",31.1,5.2,6.7,10.6,8.6

453

Carbon Reduction Analysis and Action Using the CoolClimate Version date: 12/17/2009  

E-Print Network (OSTI)

Electricity usage ($) 5,300 gCO2/$ 10% (7) eGRID, (8) EIA(b) Electricity usage (U.S.average shown) 463 gCO2/kwh 5% (7) eGRID Natural gas usage (U.S.average shown 3,352 gCO2/$ 5% (7) eGRID, (8) EIA(b) ThermsCO2/50yrs=1.8tCO2/1800sqft (7) eGRID (8) EIA(b) (1) EIA(a), Voluntary Reporting of Greenhouse Gases

Kammen, Daniel M.

454

EIA - Natural Gas Pipeline Network - Natural Gas Transmission...  

Annual Energy Outlook 2012 (EIA)

Transmission Path Diagram About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates Natural Gas Transmission Path Natural...

455

Savine Pass, LA Natural Gas Liquefied Natural Gas Imports from...  

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

Savine Pass, LA Natural Gas Liquefied Natural Gas Imports from Egypt (Million Cubic Feet) Savine Pass, LA Natural Gas Liquefied Natural Gas Imports from Egypt (Million Cubic Feet)...

456

Highgate Springs, VT Natural Gas Liquefied Natural Gas Imports...  

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

Highgate Springs, VT Natural Gas Liquefied Natural Gas Imports from Canada (Million Cubic Feet) Highgate Springs, VT Natural Gas Liquefied Natural Gas Imports from Canada (Million...

457

Northeast Gateway, LA Natural Gas Liquefied Natural Gas Imports...  

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

Gateway, LA Natural Gas Liquefied Natural Gas Imports from Egypt (Million Cubic Feet) Northeast Gateway, LA Natural Gas Liquefied Natural Gas Imports from Egypt (Million Cubic...

458

Lake Charles, LA Natural Gas Liquefied Natural Gas Imports from...  

Gasoline and Diesel Fuel Update (EIA)

Lake Charles, LA Natural Gas Liquefied Natural Gas Imports from Trinidad and Tobago (Million Cubic Feet) Lake Charles, LA Natural Gas Liquefied Natural Gas Imports from Trinidad...

459

Cameron, LA Natural Gas Liquefied Natural Gas Imports from Trinidad...  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Liquefied Natural Gas Imports from Trinidad and Tobago (Million Cubic Feet) Cameron, LA Natural Gas Liquefied Natural Gas Imports from Trinidad and Tobago (Million...

460

Savine Pass, LA Natural Gas Liquefied Natural Gas Imports from...  

Annual Energy Outlook 2012 (EIA)

Savine Pass, LA Natural Gas Liquefied Natural Gas Imports from Trinidad and Tobago (Million Cubic Feet) Savine Pass, LA Natural Gas Liquefied Natural Gas Imports from Trinidad and...

Note: This page contains sample records for the topic "usage kwh natural" 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

Golden Pass, TX Natural Gas Liquefied Natural Gas Imports (price...  

Gasoline and Diesel Fuel Update (EIA)

Golden Pass, TX Natural Gas Liquefied Natural Gas Imports (price) (Dollars per Thousand Cubic Feet) Golden Pass, TX Natural Gas Liquefied Natural Gas Imports (price) (Dollars per...

462

South Dakota Natural Gas Removed from Natural Gas (Million Cubic...  

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

View History: Monthly Annual Download Data (XLS File) South Dakota Natural Gas Removed from Natural Gas (Million Cubic Feet) South Dakota Natural Gas Removed from Natural Gas...

463

Improve Industrial Temperature Measurement Precision for Cost-Effective Energy Usage  

E-Print Network (OSTI)

Temperature measurement and energy efficiencies have always been tightly interrelated. Recent years have seen substantial advancements in the ability to make industrial temperature measurements with absolute accuracy. This capability should continue to have a great impact on industrial energy efficiency. "Absolute Accuracy" is a new concept in industrial temperature measurement. Making a measurement with "Absolute Accuracy" has enormous advantages in major industrial processes from heat-transfer to combustion thermal efficiency. Absolute measurement accuracy is especially critical when one temperature measurement is to be compared to another temperature measurement or if the measurement is to be used as part of a calculation formula such as BTU usage or compensated flow. The thermocouple and the RTD sensor continue to be the workhorse sensors for industrial measurements, but the precision measurement capability of the RTD sensor is showing real value in new installations. For temperature measurements under 1,000°F, the RTD is extremely stable and repeatable in almost all measurement conditions. There have been significant advances in the ability to accurately read these sensors, particularly in industrial applications where the temperature sensor is installed in a remote location. Four-wire sensor measurement techniques can now be used for reading RTD's in industrial applications. These four-wire measurement techniques have improved the practical measurement accuracy in industrial applications to better than ±0.1°C. This is at least ten times better than any practical industrial temperature measurement accuracy made prior to 1980. These significant accuracy improvements have been matched by similar improvements in measurement stability, particularly from smart temperature transmitters. Measurement accuracy and stability improvements have allowed for similar advances in process control strategies and in precision energy use studies. Until recently, the inaccuracy of process temperature measurements have stymied implementation of sophisticated control algorithms. With the advent of precise, stable temperature measurements, a number of process control strategies can be implemented using real-time enthalpy balances for control of batch and continuous reactions. These control strategies can result in very significant improvements in both throughput and quality. Similar improvements can be made where it is important to compare an industrial temperature measurements. These comparisons are frequent in energy use studies to identify and isolate potential energy savings. This article examines the advances in remote temperature measurement techniques for the process and utility industries. It offers several examples of the significance of the on-line control techniques.

Lewis, C. W.

1999-05-01T23:59:59.000Z

464

Portfolio: Searching for relevant functions and their usages in millions of lines of code  

Science Conference Proceedings (OSTI)

Different studies show that programmers are more interested in finding definitions of functions and their uses than variables, statements, or ordinary code fragments. Therefore, developers require support in finding relevant functions and determining ... Keywords: Pagerank, Source-code search, information retrieval, natural language processing, user studies

Collin Mcmillan, Denys Poshyvanyk, Mark Grechanik, Qing Xie, Chen Fu

2013-10-01T23:59:59.000Z

465

International Energy Outlook - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas International Energy Outlook 2004 Natural Gas Natural gas is the fastest growing primary energy source in the IEO2004 forecast. Consumption of natural gas is projected...

466

EIA - Natural Gas Pipeline Network - Natural Gas Pipeline Mileage...  

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

Home > Natural Gas > About U.S. Natural Gas Pipelines > Natural Gas Pipeline Mileage by State About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through...

467

Natural Gas Annual, 2001  

Gasoline and Diesel Fuel Update (EIA)

1 1 EIA Home > Natural Gas > Natural Gas Data Publications Natural Gas Annual, 2001 The Natural Gas Annual, 2001 provides information on the supply and disposition of natural gas in the United States. Production, transmission, storage, deliveries, and price data are published by State for 2001. Summary data are presented for each State for 1997 to 2001. The data that appear in the tables of the Natural Gas Annual, 2001 are available as self-extracting executable files in ASCII TXT or CSV file format. This volume emphasizes information for 2001, although some tables show a five-year history. Please read the file entitled README.V1 for a description and documentation of information included in this file. Also available are files containing the following data: Summary Statistics - Natural Gas in the United States, 1997-2001 (Table 1) ASCII TXT, and Natural Gas Supply and Disposition by State, 2001 (Table 2) ASCII TXT.

468

Perceptions of the natural  

E-Print Network (OSTI)

This thesis takes on the difficulty of defining a clear line that connects and separates natural and artificial in a contemporary landscape. It is a proposal for a park that addresses the image and understanding of nature. ...

Filipovic, Renata, 1973-

2005-01-01T23:59:59.000Z

469

Natural Gas Weekly Update  

Annual Energy Outlook 2012 (EIA)

natural gas futures also reversed gains made in the previous week. Wellhead Prices Annual Energy Review More Price Data Storage Working natural gas in storage increased by 63 Bcf...

470

Natural gas annual 1996  

Science Conference Proceedings (OSTI)

This document provides information on the supply and disposition of natural gas to a wide audience. The 1996 data are presented in a sequence that follows natural gas from it`s production to it`s end use.

NONE

1997-09-01T23:59:59.000Z

471

Focused natural deduction  

Science Conference Proceedings (OSTI)

Natural deduction for intuitionistic linear logic is known to be full of non-deterministic choices. In order to control these choices, we combine ideas from intercalation and focusing to arrive at the calculus of focused natural deduction. The calculus ...

Taus Brock-Nannestad; Carsten Schürmann

2010-10-01T23:59:59.000Z

472

Natural Gas Weekly Update  

Annual Energy Outlook 2012 (EIA)

with active programs. More information is available at: http:www.eia.doe.govcneafelectricitypagerestructuringrestructureelect.html. Information about natural gas...

473

Natural gas annual 1994  

SciTech Connect

The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. The 1994 data are presented in a sequence that follows natural gas (including supplemental supplies) from its production to its end use. This is followed by tables summarizing natural gas supply and disposition from 1990 to 1994 for each Census Division and each State. Annual historical data are shown at the national level.

NONE

1995-11-17T23:59:59.000Z

474

Natural gas annual 1995  

Science Conference Proceedings (OSTI)

The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. The 1995 data are presented in a sequence that follows natural gas (including supplemental supplies) from its production to its end use. This is followed by tables summarizing natural gas supply and disposition from 1991 to 1995 for each Census Division and each State. Annual historical data are shown at the national level.

NONE

1996-11-01T23:59:59.000Z

475

A framework and review of customer outage costs: Integration and analysis of electric utility outage cost surveys  

E-Print Network (OSTI)

Std Dev Cost Per Annual Cost Per kWh Usage Peak kW AverageStd Dev Cost Per Annual Cost Per kWh Usage Peak kW Average3-2. Logged Outage Cost per Annual kWh Figure 3-3. Logged

Lawton, Leora; Sullivan, Michael; Van Liere, Kent; Katz, Aaron; Eto, Joseph

2003-01-01T23:59:59.000Z

476

Natural gas monthly  

Science Conference Proceedings (OSTI)

Monthly highlights of activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry are presented. Feature articles for this issue are: Natural Gas Overview for Winter 1983-1984 by Karen A. Kelley; and an Analysis of Natural Gas Sales by John H. Herbert. (PSB)

Not Available

1983-11-01T23:59:59.000Z

477

Effect of Heat and Electricity Storage and Reliability on Microgrid Viability: A Study of Commercial Buildings in California and New York States  

E-Print Network (OSTI)

heat demand and corresponding natural gas consumption iselectricity ($/kWh) demand ($/kW) natural gas 0.035 forelectricity ($/kWh) demand ($/kW) natural gas $/kWh $/therm

Stadler, Michael

2009-01-01T23:59:59.000Z

478

1 QUANTIFYING THE VALUE THAT WIND POWER PROVIDES AS A HEDGE AGAINST VOLATILE NATURAL GAS PRICES  

E-Print Network (OSTI)

Advocates of renewable energy have long argued that wind power and other renewable technologies can mitigate fuel price risk within a resource portfolio. Such arguments – made with renewed vigor in the wake of unprecedented natural gas price volatility during the winter of 2000/2001 – have mostly been qualitative in nature, however, with few attempts to actually quantify the price stability benefit that wind and other renewables provide. This paper attempts to quantify this benefit by equating it with the cost of achieving price stability through other means, particularly gas-based financial derivatives (futures and swaps). We find that over the past two years, natural gas consumers have had to pay a premium of roughly 0.50˘/kWh over expected spot prices to lock in natural gas prices for the next 10 years. This incremental cost is potentially large enough to tip the scales away from new investments in natural gasfired generation and in favor of investments in wind power and other renewable technologies.

Mark Bolinger; Ryan Wiser; William Golove; Mark Bolinger; Ryan Wiser; William Golove

2002-01-01T23:59:59.000Z

479

Natural Gas Annual 2006  

Gasoline and Diesel Fuel Update (EIA)

6 6 Released: October 31, 2007 The Natural Gas Annual 2006 Summary Highlights provides an overview of the supply and disposition of natural gas in 2006 and is intended as a supplement to the Natural Gas Annual 2006. The Natural Gas Annual 2006 Summary Highlights provides an overview of the supply and disposition of natural gas in 2006 and is intended as a supplement to the Natural Gas Annual 2006. Natural Gas Annual --- Full report in PDF (5 MB) Special Files --- All CSV files contained in a self-extracting executable file. Respondent/Company Level Natural Gas Data Files Annual Natural and Supplemental Gas Supply and Disposition Company level data (1996 to 2007) as reported on Form EIA-176 are provided in the EIA-176 Query System and selected data files. EIA-191A Field Level Underground Natural Gas Storage Data: Detailed annual data (2006 and 2007) of storage field capacity, field type, and maximum deliverability as of December 31st of the report year, as reported by operators of all U.S. underground natural gas storage fields.

480

Natural gas sdtrategic plan  

SciTech Connect

The US Department of Energy`s natural gas program is aimed at meeting simultaneously our national energy needs, reducing oil imports, protecting our environment, and improving our economy The Natural Gas Strategic Plan for 1995 represents a Department-wide effort to articulate the key issues related to the expanded development and utilization of natural gas, and defines the roles of the federal government and US industry in partnering to accomplish the strategic goals defined. The four overarching goals of the Natural Gas Strategic Plan are to: foster the development of advanced natural gas technologies; encourage the adoption of advanced natural gas technologies in new and existing markets; support the removal of policy impediments to natural gas use in new and existing markets; and foster technologies and policies to maximize the environmental benefits of natural gas use. DOE`s proposed fiscal year (FY) 1996 budget represents a commitment to natural gas research, development, and demonstration (RD&D) from reservoir to end use. DOE has redirected and increased funding for its natural gas exploration, production, delivery and storage, processing, and utilization RD&D programs, shifting funds from other energy programs to programs that will enhance efficiency and advance the role of natural gas in our domestic energy resources portfolio.

1995-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "usage kwh natural" 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

Natural Gas Annual, 2004  

Gasoline and Diesel Fuel Update (EIA)

4 4 EIA Home > Natural Gas > Natural Gas Data Publications Natural Gas Annual, 2004 Natural Gas Annual 2004 Release date: December 19, 2005 Next release date: January 2007 The Natural Gas Annual, 2004 provides information on the supply and disposition of natural gas in the United States. Production, transmission, storage, deliveries, and price data are published by State for 2004. Summary data are presented for each State for 2000 to 2004. The data that appear in the tables of the Natural Gas Annual, 2004 is available as self-extracting executable file or CSV file format. This volume emphasizes information for 2004, although some tables show a five-year history. Please read the file entitled README.V1 for a description and documentation of information included in this file.

482

Present coal potential of Turkey and coal usage in electricity generation  

SciTech Connect

Total coal reserve (hard coal + lignite) in the world is 984 billion tons. While hard coal constitutes 52% of the total reserve, lignite constitutes 48% of it. Turkey has only 0.1% of world hard coal reserve and 1.5% of world lignite reserves. Turkey has 9th order in lignite reserve, 8th order in lignite production, and 12th order in total coal (hard coal and lignite) consumption. While hard coal production meets only 13% of its consumption, lignite production meets lignite consumption in Turkey. Sixty-five percent of produced hard coal and 78% of produced lignite are used for electricity generation. Lignites are generally used for electricity generation due to their low quality. As of 2003, total installed capacity of Turkey was 35,587 MW, 19% (6,774 MW) of which is produced from coal-based thermal power plants. Recently, use of natural gas in electricity generation has increased. While the share of coal in electricity generation was about 50% for 1986, it is replaced by natural gas today.

Yilmaz, A.O. [Karadeniz Technical University, Trabzon (Turkey). Mining Engineering Department

2009-07-01T23:59:59.000Z

483

Emerging Technologies and Moore's Law: Prospects for the ...  

Science Conference Proceedings (OSTI)

... Electricity Usage 60 80 ns (kWh / Improved Operation B t P ti B t P ti ... 1.896 5,000 Reference Case Billion kWh B illion kWh 4,000 1.242 Billion kWh ...

2011-10-03T23:59:59.000Z

484

DOE/BNL Liquid Natural Gas Heavy Vehicle Program  

DOE Green Energy (OSTI)

As a means of lowering greenhouse gas emissions, increasing economic growth, and reducing the dependency on imported oil, the Department of Energy and Brookhaven National Laboratory (DOE/ BNL) is promoting the substitution of liquefied natural gas (LNG) in heavy-vehicles that are currently being fueled by diesel. Heavy vehicles are defined as Class 7 and 8 trucks (> 118,000 pounds GVVV), and transit buses that have a fuel usage greater than 10,000 gallons per year and driving range of more than 300 miles. The key in making LNG market-competitive with all types of diesel fuels is in improving energy efficiency and reducing costs of LNG technologies through systems integration. This paper integrates together the three LNG technologies of: (1) production from landfills and remote well sites; (2) cryogenic fuel delivery systems; and (3) state-of-the-art storage tank and refueling facilities, with market end-use strategies. The program's goal is to develop these technologies and strategies under a ''green'' and ''clean'' strategy. This ''green'' approach reduces the net contribution of global warming gases by reducing levels of methane and carbon dioxide released by heavy vehicles usage to below recoverable amounts of natural gas from landfills and other natural resources. Clean technology refers to efficient use of energy with low environmental emissions. The objective of the program is to promote fuel competition by having LNG priced between $0.40 - $0.50 per gallon with a combined production, fuel delivery and engine systems efficiency approaching 45%. This can make LNG a viable alternative to diesel.

James E. Wegrzyn; Wai-Lin Litzke; Michael Gurevich

1998-08-11T23:59:59.000Z

485

EIA - Natural Gas Pipeline Network - Natural Gas Import/Export ...  

U.S. Energy Information Administration (EIA)

Home > Natural Gas > About U.S. Natural Gas Pipelines > Natural ... The EIA has determined that the informational map displays here do not raise security ...

486

EIA - Natural Gas Pipeline Network - Natural Gas Transportation...  

Gasoline and Diesel Fuel Update (EIA)

Corridors > Major U.S. Natural Gas Transportation Corridors Map About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 20072008 with selected updates...

487

Natural Gas Annual 2007  

Gasoline and Diesel Fuel Update (EIA)

7 7 Released: January 28, 2009 The Natural Gas Annual 2007 provides information on the supply and disposition of natural gas in the United States. Production, transmission, storage, deliveries, and price data are published by State for 2007. Summary data are presented for each State for 2003 to 2007. The Natural Gas Annual 2007 Summary Highlights provides an overview of the supply and disposition of natural gas in 2007 and is intended as a supplement to the Natural Gas Annual 2007. Natural Gas Annual --- Full report in PDF (5 MB) Special Files --- All CSV files contained in a self-extracting executable file. Respondent/Company Level Natural Gas Data Files Annual Natural and Supplemental Gas Supply and Disposition Company level data (1996 to 2007) as reported on Form EIA-176 are provided in the EIA-176 Query System and selected data files. EIA-191A Field Level Underground Natural Gas Storage Data: Detailed annual data (2005 to 2007) of storage field capacity, field type, and maximum deliverability as of December 31st of the report year, as reported by operators of all U.S. underground natural gas storage fields.

488

Natural Gas Annual, 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 EIA Home > Natural Gas > Natural Gas Data Publications Natural Gas Annual, 2002 Natural Gas Annual 2002 Release date: January 29, 2004 Next release date: January 2005 The Natural Gas Annual, 2002 provides information on the supply and disposition of natural gas in the United States. Production, transmission, storage, deliveries, and price data are published by State for 2002. Summary data are presented for each State for 1998 to 2002. “The Natural Gas Industry and Markets in 2002” is a special report that provides an overview of the supply and disposition of natural gas in 2002 and is intended as a supplement to the Natural Gas Annual 2002. Changes to data sources for this Natural Gas Annual, as a result of ongoing data quality efforts, have resulted in revisions to several data series. Production volumes have been revised for the Federal offshore and several States. Several data series based on the Form EIA-176, including deliveries to end-users in several States, were also revised. Additionally, revisions have been made to include updates to the electric power and vehicle fuel end-use sectors.

489

Natural Gas Annual 2009  

Gasoline and Diesel Fuel Update (EIA)

9 9 Released: December 28, 2010 The Natural Gas Annual 2009 provides information on the supply and disposition of natural gas in the United States. Production, transmission, storage, deliveries, and price data are published by State for 2009. Summary data are presented for each State for 2005 to 2009. The Natural Gas Annual 2009 Summary Highlights provides an overview of the supply and disposition of natural gas in 2009 and is intended as a supplement to the Natural Gas Annual 2009. Natural Gas Annual --- Full report in PDF (5 MB) Special Files --- All CSV files contained in a self-extracting executable file. Respondent/Company Level Natural Gas Data Files Annual Natural and Supplemental Gas Supply and Disposition Company level data (1996 to 2009) as reported on Form EIA-176 are provided in the EIA-176 Query System and selected data files. EIA-191A Field Level Underground Natural Gas Storage Data: Detailed annual data (2005 to 2009) of storage field capacity, field type, and maximum deliverability as of December 31st of the report year, as reported by operators of all U.S. underground natural gas storage fields.

490

Natural Gas Annual 2008  

Gasoline and Diesel Fuel Update (EIA)

8 8 Released: March 2, 2010 The Natural Gas Annual 2008 provides information on the supply and disposition of natural gas in the United States. Production, transmission, storage, deliveries, and price data are published by State for 2008. Summary data are presented for each State for 2004 to 2008. The Natural Gas Annual 2008 Summary Highlights provides an overview of the supply and disposition of natural gas in 2008 and is intended as a supplement to the Natural Gas Annual 2008. Natural Gas Annual --- Full report in PDF (5 MB) Special Files --- All CSV files contained in a self-extracting executable file. Respondent/Company Level Natural Gas Data Files Annual Natural and Supplemental Gas Supply and Disposition Company level data (1996 to 2008) as reported on Form EIA-176 are provided in the EIA-176 Query System and selected data files. EIA-191A Field Level Underground Natural Gas Storage Data: Detailed annual data (2005 to 2008) of storage field capacity, field type, and maximum deliverability as of December 31st of the report year, as reported by operators of all U.S. underground natural gas storage fields.

491

Natural-gas liquids  

SciTech Connect

Casinghead gasoline or natural gasoline, now more suitably known as natural-gas liquids (NGL), was a nuisance when first found, but was developed into a major and profitable commodity. This part of the petroleum industry began at about the turn of the century, and more than 60 yr later the petroleum industry recovers approx. one million bbl of natural-gas liquids a day from 30 billion cu ft of natural gas processed in more than 600 gasoline plants. Although casinghead gasoline first was used for automobile fuel, natural-gas liquids now are used for fuel, industrial solvents, aviation blending stock, synthetic rubber, and many other petrochemical uses. Production from the individual plants is shipped by tank car, tank truck, pipeline, and tankers all over the world. Most of the natural-gas liquids come from wet natural gas which contains a considerable quantity of vapor, ranging from 0.5 to 6 gal/Mcf, and some particularly rich gases contain even more which can be liquefied. Nonassociated gas is generally clean, with a comparatively small quantity of gasoline, 0.1 to 0.5 gas/Mcf. The natural-gas liquids branch of the industry is build around the condensation of vapors in natural gas. Natural-gas liquids are processed either by the compression method or by adsorption processes.

Blackstock, W.B.; McCullough, G.W.; McCutchan, R.C.

1968-01-01T23:59:59.000Z

492

Natural Gas Annual, 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 EIA Home > Natural Gas > Natural Gas Data Publications Natural Gas Annual, 2003 Natural Gas Annual 2003 Release date: December 22, 2004 Next release date: January 2006 The Natural Gas Annual, 2003 provides information on the supply and disposition of natural gas in the United States. Production, transmission, storage, deliveries, and price data are published by State for 2003. Summary data are presented for each State for 1999 to 2003. “The Natural Gas Industry and Markets in 2003” is a special report that provides an overview of the supply and disposition of natural gas in 2003 and is intended as a supplement to the Natural Gas Annual 2003. The data that appear in the tables of the Natural Gas Annual, 2003 is available as self-extracting executable file or CSV file format. This volume emphasizes information for 2003, although some tables show a five-year history. Please read the file entitled README.V1 for a description and documentation of information included in this file.

493

Natural Gas Weekly Update  

Gasoline and Diesel Fuel Update (EIA)

2, 2011 at 2:00 P.M. 2, 2011 at 2:00 P.M. Next Release: Thursday, May 19, 2011 Overview Prices Storage Other Market Trends Natural Gas Transportation Update Overview (For the Week Ending Wednesday, May 11, 2011) Natural gas prices fell across the board as oil prices dropped steeply along with most other major commodities. At the Henry Hub, the natural gas spot price fell 36 cents from $4.59 per million Btu (MMBtu) on Wednesday, May 4, to $4.23 per MMBtu on Wednesday, May 11. At the New York Mercantile Exchange, the price of the near-month natural gas contract (June 2011) dropped almost 9 percent, falling from $4.577 per MMBtu last Wednesday to $4.181 yesterday. Working natural gas in storage rose by 70 billion cubic feet (Bcf) to 1,827 Bcf, according to EIAÂ’s Weekly Natural Gas Storage Report.

494

Natural Gas Weekly Update  

Gasoline and Diesel Fuel Update (EIA)

2, 2010 at 2:00 P.M. 2, 2010 at 2:00 P.M. Next Release: Thursday, July 29, 2010 Overview Prices Storage Other Market Trends Natural Gas Transportation Update Overview (For the Week Ending Wednesday, July 21, 2010) Natural gas prices rose across market locations in the lower 48 States during the report week. The Henry Hub natural gas spot price rose 31 cents, or 7 percent, during the week, averaging $4.70 per million Btu (MMBtu) yesterday, July 21. At the New York Mercantile Exchange (NYMEX), the price of the August 2010 natural gas futures contract for delivery at the Henry Hub rose about 21 cents, or 5 percent, ending the report week at $4.513 per MMBtu. Working natural gas in storage increased to 2,891 billion cubic feet (Bcf) as of Friday, July 16, according to EIAÂ’s Weekly Natural Gas Storage

495

5. Natural Gas Liquids Statistics  

U.S. Energy Information Administration (EIA)

5. Natural Gas Liquids Statistics Natural Gas Liquids Proved Reserves U.S. natural gas liquids proved reserves decreased 7 percent to 7,459 million ...

496

,"North Dakota Natural Gas Summary"  

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

Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)","North Dakota Natural Gas Imports Price (Dollars per Thousand Cubic Feet)","North Dakota Natural Gas Exports...

497

Natural Disasters: Some Empirical  

Science Conference Proceedings (OSTI)

Page 1. j N8SIR 74-473 Natural Disasters: Some Empirical and Economic Considerations G. Thomas Sav Buildine Economies ...

2008-03-06T23:59:59.000Z

498

Natural Gas Weekly Update  

Annual Energy Outlook 2012 (EIA)

each of the consumption sectors, excluding the industrial sector, according to BENTEK Energy Services, LLC. Moderating temperatures likely contributed to lower natural gas...

499

4. Natural Gas Statistics  

U.S. Energy Information Administration (EIA)

hydraulic fracturing, including shales and low permeability (tight) formations. Total U.S. dry natural gas reserves additions replaced 237 percent of 2007 dry

500

,"Wisconsin Natural Gas Prices"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas Prices",8,"Monthly","72013","1151989" ,"Release Date:","9302013"...