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Note: This page contains sample records for the topic "row factors single-family" from the National Library of EnergyBeta (NLEBeta).
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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

Peoples Gas – Single Family Direct Install (Illinois)  

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

Owners of single-family homes, condos, townhomes and two-flats may be eligible for a free installation of new programmable thermostats, pipe insulation, showerheads, and faucet aerators through...

2

Standard Work Specifications for Single-Family Home Energy Upgrades...  

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

for Single-Family Home Energy Upgrades to define the minimum requirements for high- quality residential energy upgrades. The Standard Work Specifications for Single-Family...

3

Experimental plan for the Single-Family Study  

SciTech Connect

The national evaluation of the Weatherization Assistance Program (WAP) consists of five separate studies. The Single-Family Study is one of three studies that will estimate program energy savings and cost effectiveness in principal WAP submarkets. This report presents the experimental plan for the Single-Family Study, which will be implemented over the next three years (1991--1993). The Single-Family Study will directly estimate energy savings for a nationally representative sample of single-family and small multifamily homes weatherized in the 1989 program year. Savings will be estimated from gas and electric utility billing records using the Princeton Scorekeeping Method (PRISM). The study will also assess nonenergy impacts (e.g., health, comfort, safety, and housing affordability), estimate cost effectiveness, and analyze factors influencing these outcomes. For homes using fuels such as wood, coal, fuel oil, kerosene, and propane as the primary source of space conditioning, energy savings will be studied indirectly. The study will assemble a large nationally representative data base. A cluster sampling approach will be used, in which about 400 subgrantees are selected in a first stage and weatherized homes are selected in a second range. To ensure that the Single-Family Study is able to identify promising opportunities for future program development, two purposively selected groups of subgrantees will be included: (1) subgrantees that install cooling measures (such as more efficient air conditioning equipment or radiant barriers), and (2) exemplary subgrantees that use state-of-the-art technologies and service delivery procedures (such as advanced audit techniques, blower door tests, infrared scanners, extensive client education, etc.). These two groups of subgrantees will be analyzed to identify the most effective program elements in specific circumstances. 14 refs., 4 figs., 3 tabs.

Berry, L.G.; Brown, M.A.; Wright, T.; White, D.L.

1991-09-01T23:59:59.000Z

4

Measurement-Based Evaluation of Installed Filtration System Performance in Single-Family Homes  

E-Print Network (OSTI)

factors in single-family homes in the U.S." Building andbenefits from filtration in homes and commercial buildings (are being installed in U.S. homes. However, particle removal

Chan, Wanyu Rengie

2014-01-01T23:59:59.000Z

5

Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops  

Science Journals Connector (OSTI)

Abstract It is well established that a natural surface exhibits anisotropic reflectance properties that depend on the characteristics of the surface. Spectral measurements of the bidirectional reflectance factor (BRF) at ground level provide us a method to capture the directional characteristics of the observed surface. Various spectro-radiometers with different field of views (FOVs) were used under different mounting conditions to measure crop reflectance. The impact and uncertainty of sensor FOV and distance from the target have rarely been considered. The issue can be compounded with the characteristic reflectance of heterogeneous row crops. Because of the difficulty of accurately obtaining field measurements of crop reflectance under natural environments, a method of computer simulation was proposed to study the impact of sensor FOV and distance on field measured BRFs. A Monte Carlo model was built to combine the photon spread method and the weight reduction concept to develop the weighted photon spread (WPS) model to simulate radiation transfer in architecturally realistic canopies. Comparisons of the Monte Carlo model with both field BRF measurements and the RAMI Online Model Checker (ROMC) showed good agreement. \\{BRFs\\} were then simulated for a range of sensor FOV and distance combinations and compared with the reference values (distance at infinity) for two typical row canopy scenes. Sensors with a finite FOV and distance from the target approximate the reflectance anisotropy and yield average values over FOV. Moreover, the perspective projection of the sensor causes a proportional distortion in the sensor FOV from the ideal directional observations. Though such factors inducing the measurement error exist, it was found that the BRF can be obtained with a tolerable bias on ground level with a proper combination of sensor FOV and distance, except for the hotspot direction and the directions around it. Recommendations for the choice of sensor FOV and distance are also made to reduce the bias from the real angular signatures in field BRF measurement for row crops.

Feng Zhao; Yuguang Li; Xu Dai; Wout Verhoef; Yiqing Guo; Hong Shang; Xingfa Gu; Yanbo Huang; Tao Yu; Jianxi Huang

2015-01-01T23:59:59.000Z

6

Standard Work Specifications for Single-Family Home Energy Upgrades...  

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

for Single-Family Home Energy Upgrades to define the minimum requirements for high-quality residential energy upgrades. Today, the Standard Work Specifications provide a...

7

North Shore Gas – Single Family Direct Install (Illinois)  

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

Owners of single-family homes, condos, townhomes and two-flats may be eligible for a free installation of new programmable thermostats, pipe insulation, showerheads, and faucet aerators through...

8

California Solar Initiative - Single-Family Affordable Solar Housing (SASH)  

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

California Solar Initiative - Single-Family Affordable Solar California Solar Initiative - Single-Family Affordable Solar Housing (SASH) Program California Solar Initiative - Single-Family Affordable Solar Housing (SASH) Program < Back Eligibility Low-Income Residential Savings Category Solar Buying & Making Electricity Maximum Rebate 10,000 for fully subsidized systems No maximum stated for partially subsidized systems Program Info Start Date 7/1/2009 Expiration Date 12/31/2015 State California Program Type State Rebate Program Rebate Amount Varies depending on participant's income level and California Alternate Rates for Energy (CARE) program eligibility. (see below) Provider GRID Alternatives The California Solar Initiative (CSI) provides financial incentives for installing solar technologies through a variety of smaller sub-programs. Of

9

EVALUATION OF VALUE CREATION CONCEPTS IN SINGLE FAMILY RESIDENTIAL SUBDIVISIONS  

E-Print Network (OSTI)

values. The study sample is composed of 6,562 single family houses nested in 85 subdivisions in College Station, Texas. Data are composed of two levels: the housing level and the subdivision level. The scores of the sense of arrival were provided...

Shin, Woo Jin

2010-07-14T23:59:59.000Z

10

Delivering Energy Efficiency to Middle Income Single Family Households  

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

Delivering Energy Efficiency to Middle Income Single Family Households Delivering Energy Efficiency to Middle Income Single Family Households Title Delivering Energy Efficiency to Middle Income Single Family Households Publication Type Report Year of Publication 2011 Authors Zimring, Mark, Merrian Borgeson, Ian M. Hoffman, Charles A. Goldman, Elizabeth Stuart, Annika Todd, and Megan A. Billingsley Pagination 102 Date Published 12/2011 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract The question posed in this report is: How can programs motivate these middle income single family households to seek out more comprehensive energy upgrades, and empower them to do so? Research methods included interviews with more than 35 program administrators, policy makers, researchers, and other experts; case studies of programs, based on interviews with staff and a review of program materials and data; and analysis of relevant data sources and existing research on demographics, the financial status of Americans, and the characteristics of middle income American households. While there is no 'silver bullet' to help these households overcome the range of barriers they face, this report describes outreach strategies, innovative program designs, and financing tools that show promise in increasing the attractiveness and accessibility of energy efficiency for this group. These strategies and tools should be seen as models that are currently being honed to build our knowledge and capacity to deliver energy improvements to middle income households. However, the strategies described in this report are probably not sufficient, in the absence of robust policy frameworks, to deliver these improvements at scale. Instead, these strategies must be paired with enabling and complementary policies to reach their full potential.

11

Zero Energy-Ready Single-Family Homes - Building America Top...  

Energy Savers (EERE)

Zero Energy-Ready Single-Family Homes - Building America Top Innovation Zero Energy-Ready Single-Family Homes - Building America Top Innovation Photo of a zero-energy,...

12

Retrofit Analysis of Older, Single Family Housing in San Antonio  

E-Print Network (OSTI)

Retrofit Analysis of Older, Single Family Housing in San Antonio Hazem Rashed-Ali, PhD, University of Texas at San Antonio CATEE 2013 Clean Air Through Energy Efficiency Conference December 16-18, 2013 San Antonio, TX 12/17/2013 ESL-KT-13... of San Antonio has 28 historic districts, • Potential energy savings from retrofit of older homes are substantial and undisputed. However: • Historic homes need thoughtful attention to the details and features that cause society to give them protected...

Rashed-Ali, H.

2013-01-01T23:59:59.000Z

13

Row fault detection system  

DOE Patents (OSTI)

An apparatus, program product and method check for nodal faults in a row of nodes by causing each node in the row to concurrently communicate with its adjacent neighbor nodes in the row. The communications are analyzed to determine a presence of a faulty node or connection.

Archer, Charles Jens (Rochester, MN); Pinnow, Kurt Walter (Rochester, MN); Ratterman, Joseph D. (Rochester, MN); Smith, Brian Edward (Rochester, MN)

2012-02-07T23:59:59.000Z

14

" Row: NAICS Codes;" " Column...  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2010;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving...

15

" Row: NAICS Codes;"  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2010;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit:...

16

" Row: NAICS Codes;"  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2002; " " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit:...

17

" Row: NAICS Codes;" " ...  

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

1.3. Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Supplier Sources of...

18

" Row: End Uses;"  

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

8 End Uses of Fuel Consumption, 2002;" 8 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " ",," ","Distillate"," "," ",," " " ","Net Demand",,"Fuel Oil",,,"Coal","RSE" " ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "End Use","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Factors"

19

" Row: End Uses;"  

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

","LPG and","(excluding Coal","RSE" " ","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Row" "End Use","(million kWh)","(million...

20

Guidelines for Home Energy Professionals: Standard Work Specifications for Single-Family Home Energy Upgrades  

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

The Standard Work Specifications (SWS) for Single-Family Home Energy Upgrades define the minimum acceptable outcomes for any weatherization or home performance task to be effective, durable, and safe.

Note: This page contains sample records for the topic "row factors single-family" 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

A comparative study of condominium and single family house price appreciation in the Salt Lake Valley  

E-Print Network (OSTI)

This study examines whether the form of ownership affects the appreciation rate of housing units. The specific test conducted is whether condominiums and single family homes in the Salt Lake Valley have appreciated at the ...

Billings, John D. (John David), 1971-

2003-01-01T23:59:59.000Z

22

" Row: NAICS Codes; Column: Energy Sources;"  

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

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

23

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "SIC"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Major Group and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

24

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2002;" 2 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

25

" Row: NAICS Codes; Column: Electricity Components;"  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,,"Sales and","Net Demand","RSE" "NAICS"," ",,,"Total Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

26

" Row: NAICS Codes; Column: Electricity Components;"  

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

1 Electricity: Components of Net Demand, 2002;" 1 Electricity: Components of Net Demand, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,"Total ","Sales and","Net Demand","RSE" "NAICS"," ",,"Transfers ","Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases"," In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

27

Critical Question #7: What are the Best Practices for Single-Family  

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

7: What are the Best Practices for Single-Family 7: What are the Best Practices for Single-Family Ventilation in All Climate Regions? Critical Question #7: What are the Best Practices for Single-Family Ventilation in All Climate Regions? Why ventilate? What are the ultimate goals of ventilation requirements in codes and standards? What are the characteristics of an effective ventilation system in new vs. existing construction? What are the risks and solutions associated with ventilation in hot-humid climates? cq7_kitchen_ventilation_singer.pdf cq7_ventilation_lab_houses_rudd.pdf cq7_ventilation_hothumid_parker.pdf More Documents & Publications Track B - Critical Guidance for Peak Performance Homes Track C - Market-Driven Research Solutions Critical Question #8: When are Heat Pump Water Heaters the Best Solution?

28

An analysis of International Energy Conservation Code (IECC)-compliant single-family residential energy use  

E-Print Network (OSTI)

of sensors in a case-study house, 4) the validation of the improved simulation model with measured data from the case-study house, and 5) use the validated model to simulate the energy-conserving features of single-family residences that cannot be simulated...

Kim, Seongchan

2009-06-02T23:59:59.000Z

29

The earth-coupled heat pump: Utilizing innovative technology in single family rehabilitation strategies  

SciTech Connect

The study examines the feasibility of incorporating the use of earth-coupled heat pump technology in single-family housing rehabilitation projects, based on energy conservation attributes and financial considerations. Following evaluation of a theoretical model which indicated that installations of the heat pumps were feasible, the heat pumps were tested under actual conditions in five single family housing units which were part of the Urban Homesteading Program, and were matched with comparable units which did not receive special treatment. Energy consumption information was collected for all units for twelve months. Variables were identified, and the data was analyzed for individual housing units and compared with the results predicted by the theoretical model to determine the practicality of incorporating such technology in large scale rehabilitation projects. 14 refs., 14 figs., 3 tabs.

Not Available

1989-11-01T23:59:59.000Z

30

The Home Energy Scoring Tool: A Simplified Asset Rating for Single Family  

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

The Home Energy Scoring Tool: A Simplified Asset Rating for Single Family The Home Energy Scoring Tool: A Simplified Asset Rating for Single Family Homes Title The Home Energy Scoring Tool: A Simplified Asset Rating for Single Family Homes Publication Type Conference Proceedings LBNL Report Number LBNL-5714E Year of Publication 2012 Authors Bourassa, Norman, Leo I. Rainer, Evan Mills, and Joan Glickman Conference Name 2012 ACEEE Summer Study on Energy Efficiency in Buildings Date Published 05/2012 Conference Location Pacific Grove, CA, USA Abstract In 2010, the U.S. Department of Energy (DOE) and Lawrence Berkeley National Laboratory (LBNL) initiated development of a new web-based computer tool and method for providing an energy asset rating of single-family homes. The resulting Home Energy Scoring Tool (http://homeenergyscore.lbl.gov) is a key component of the DOE's Home Energy Score Program (http://www.homeenergyscore.gov) for residential building energy labeling, a voluntary national asset rating method that uses a simplified and standardized energy assessment process. The Scoring Tool component of the program has been designed to support the existing energy analysis marketplace by providing a substantially lower-cost entry-level assessment method. This paper presents technical details of the Home Energy Scoring Tool itself, including the Scoring Tool's relationship to the Home Energy Saver building simulation engine, the Home Energy Score calculation methodology, and the web services feature that allows any qualified third-party software developer to integrate the Home Energy Score method into their own webbased applications and market delivery strategy.

31

Appropriate Conservation Measures for Single-Family Buildings in Hot, Humid Climates  

E-Print Network (OSTI)

, and skin wetness, and they should be investigated. REFERENCES 1. "Residential Conservation Service Model Audit Manual," Oak Ridge National Laboratory, ORNL/CON-103, October 1983. 2. "WE-2 Reference Manual, Version 2. LA," LBL-8706, Rev. 2, May 1981..., Thermal Comfort, Krieger Publishing Co., Malabar, Florida, 1982. 9. H. A. McLain, J. M. MacDonald, D. Goldenberg, "Appropriate Conservation Measures for Single-Family Buildings in Hot Humid Climates,'' ORNL/CON report, to be issued. 10. R. Messenger...

McLain, H. A.; MacDonald, J. M.; Goldenberg, D.

1985-01-01T23:59:59.000Z

32

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2002;" 2 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

33

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2002;" 2 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

34

" Row: NAICS Codes; Column: Energy Sources;"  

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

4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" 4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

35

" Row: NAICS Codes; Column: Energy Sources;"  

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

4 Number of Establishments by Fuel Consumption, 2002;" 4 Number of Establishments by Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

36

" Row: End Uses within NAICS Codes;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

37

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Major Group and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

38

" Row: Employment Sizes within NAICS Codes;"  

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

3. Consumption Ratios of Fuel, 1998;" 3. Consumption Ratios of Fuel, 1998;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

39

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2002;" 4 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Factors"

40

" Row: Employment Sizes within NAICS Codes;"  

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

4 Consumption Ratios of Fuel, 2002;" 4 Consumption Ratios of Fuel, 2002;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

Note: This page contains sample records for the topic "row factors single-family" 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

Elementary Row Operations and Row-Echelon Matrices  

E-Print Network (OSTI)

Feb 16, 2007 ... The first step in deriving systematic procedures for solving a linear system is to determine ..... Apply steps 2 through 5 to the submatrix consisting of the rows that lie ..... Many forms of technology have commands for performing.

PRETEX (Halifax NS) #1 1054 1999 Mar 05 10:59:16

2010-01-20T23:59:59.000Z

42

Hot Water Draw Patterns in Single-Family Houses: Findings from Field  

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

Hot Water Draw Patterns in Single-Family Houses: Findings from Field Hot Water Draw Patterns in Single-Family Houses: Findings from Field Studies Title Hot Water Draw Patterns in Single-Family Houses: Findings from Field Studies Publication Type Report LBNL Report Number LBNL-4830E Year of Publication 2011 Authors Lutz, James D., Renaldi, Alexander B. Lekov, Yining Qin, and Moya Melody Document Number LBNL-4830E Pagination 26 Date Published 05/2011 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract This report describes data regarding hot water draw patterns that Lawrence Berkeley National Laboratory obtained from 10 studies. The report describes our purposes in collecting the data; the ways in which we managed, cleaned, and analyzed the data; and the results of our data analysis. We found that daily hot water use is highly variable both among residences and within the same residence. We also found that the distributions of daily hot water use are not symmetrical normal distributions. Thus we used median, not average, values to characterize typical daily hot water use. This report presents summary information that illustrates the results of our data collection and some initial analysis.

43

Statewide Electricity and Demand Capacity Savings from the Implementation of IECC Code in Texas: Analysis for Single-Family Residences  

E-Print Network (OSTI)

This paper presents estimates of the statewide electricity and electric demand savings achieved from the adoption of the International Energy Conservation Code (IECC) for single-family residences in Texas and includes the corresponding increase...

Kim, H.; Baltazar, J.C.; Haberl, J.

2011-01-01T23:59:59.000Z

44

A comparative study of single family and multifamily housing recovery following 1992 Hurricane Andrew in Miami-Dade County, Florida  

E-Print Network (OSTI)

examines the recovery of single family, duplex, and apartment complex housing in south Miami-Dade County, Florida, after 1992 Hurricane Andrew to determine if there is indeed a "multifamily home lag." This research also provides a better understanding...

Lu, Jing-Chein

2009-05-15T23:59:59.000Z

45

Incremental densification auctions : A politically viable method of producing infill housing in existing single-family neighborhoods  

E-Print Network (OSTI)

This paper examines the problem of convincing homeowners to accept new housing density in their neighborhoods. This paper proposes that densification that places additional housing units in preexisting single-family ...

Baker, Karl Phillip

2008-01-01T23:59:59.000Z

46

National impacts of the Weatherization Assistance Program in single-family and small multifamily dwellings  

SciTech Connect

Since 1976, the US Department of Energy (DOE) has operated one of the largest energy conservation programs in the nation -- the low-income Weatherization Assistance Program. The program strives to increase the energy efficiency of dwellings occupied by low-income persons in order to reduce their energy consumption, lower their fuel bills, increase the comfort of their homes, and safeguard their health. It targets vulnerable groups including the elderly, people with disabilities, and families with children. The most recent national evaluation of the impacts of the Program was completed in 1984 based on energy consumption data for households weatherized in 1981. DOE Program regulations and operations have changed substantially since then: new funding sources, management principles, diagnostic procedures, and weatherization technologies have been incorporated. Many of these new features have been studied in isolation or at a local level; however, no recent evaluation has assessed their combined, nationwide impacts to date or their potential for the future. In 1990, DOE initiated such an evaluation. This evaluation is comprised of three ``impact`` studies (the Single-Family Study, High-Density Multifamily Study, and Fuel-Oil Study) and two ``policy`` studies. Altogether, these five studies will provide a comprehensive national assessment of the Weatherization Assistance Program as it existed in the 1989 Program Year (PY 1989). This report presents the results of the first phase of the Single-Family Study. It evaluates the energy savings and cost effectiveness of the Program as it has been applied to the largest portion of its client base -- low-income households that occupy single-family dwellings, mobile homes, and small (2- to 4-unit) multifamily dwellings. It is based upon a representative national sample that covers the full range of conditions under which the program was implemented in PY 1989.

Brown, M.A.; Berry, L.G.; Balzer, R.A.; Faby, E.

1993-05-01T23:59:59.000Z

47

Variable Row Spacing of Irrigated Cotton.  

E-Print Network (OSTI)

B-1 lr August 19; aria ble Row Spacing of Irrigated Cotton I as A&M University Texas Agricultural Experiment Station . H. 0. Kunkel, Acting Director, College Station, Texa! Summary Six years' research in the Trans-Pecos area with "variable... row spacing" (VRS), new irrigated cotton row-spacing patterns, is reported. The new system consists of alternate close and ~ricle spaced rows, with narrow irrigation furrows between the close row spacings only. The wide spac- ings serve as dry...

Longenecker, D. E.; Thaxton, E. L. Jr.; Hefner, J. J.; Lyerly, P. J.

1970-01-01T23:59:59.000Z

48

Simulation of Off-Grid, Off-Pipe, Single-Family Detached Residences in US Climates  

E-Print Network (OSTI)

system type (wind, PV or hybrid), the capacity of electricity generating and storage systems were determined to meet/exceed the electricity use for days with inadequate solar radiation and wind. For locations with the potential of solar power...SimBuild 2008 Third National Conference of IBPSA-USA Berkeley, California July 30 ? August 1, 2008 116 SIMULATION OF OFF-GRID, OFF-PIPE, SINGLE-FAMILY DETACHED RESIDENCES IN U.S. CLIMATES Mini Malhotra1, Jeff Haberl2 1Research Assistant...

Malhotra, M.; Haberl, J.

49

Rowing: A Similarity Analysis  

Science Journals Connector (OSTI)

...diseases. More recently, lysozyme and immunoglobulin G have been found in cerumen and were highly associated with the dry-type cerumen (7). Since these immunological factors are also found in the secretions of the breast and axillary apocrine...

Thomas A. McMahon

1971-07-23T23:59:59.000Z

50

Solar project description for Saddle Hill Trust: Lot 77, single family residence, Medway, Massachusetts  

SciTech Connect

A solar energy system for preheating domestic hot water for a single-family residence in Massachusetts is described. The system consists of four flat plate air-based collectors with a gross area of 77 square feet, an air-to-water heat exchanger, and a 120-gallon preheat tank for storage. Preheated domestic water is supplied from the preheat tank to a cnventional gas-fired 40-gallon domestic hot water tank which supplies the residential hot water demand. The original cost estimate for provisioning and installation of the solar system are given. Four modes of operation are described: collector-to-preheat, preheat-to-domestic hot water, night or cloudy collector condition, and overheat protection. The system performance evaluation instrumentation for the National Solar Data Network is described. (LEW)

Moore, D.

1981-11-06T23:59:59.000Z

51

Installation guidelines for Solar Heating System, single-family residence at New Castle, Pennsylvania  

SciTech Connect

The Solar Heating System installer guidelines are provided for each subsystem and includes testing and filling the system. This single-family residential heating system is a solar-assisted, hydronic-to-warm-air system with solar-assisted domestic water heating. It is composed of the following major components: liquid cooled flat plate collectors; water storage tank; passive solar-fired domestic water preheater; electric hot water heater; heat pump with electric backup; solar hot water coil unit; tube-and-shell heat exchanger, three pumps, and associated pipes and valving in an energy transport module; control system; and air-cooled heat purge unit. Information is also provided on the operating procedures, controls, caution requirements, and routine and schedule maintenance. Information consists of written procedures, schematics, detail drawings, pictures and manufacturer's component data.

Not Available

1980-01-01T23:59:59.000Z

52

Solar project description; for Houston Construction Company, single family residence, Eden Prairie, Minnesota  

SciTech Connect

The Houston Construction Company solar energy system is designed to provide 62 percent of the space heating and domestic hot water energy requirements for a single-family detached residence containing 1796 square feet. The residence is in Eden Prairie, MN. Energy collection is accomplished by 468 square feet of Solaron flat-plate collectors which face south at an angle of 60 degrees from the horizontal. Air is the medium for transfer of solar energy from the collectors to either the conditioned space or storage. Storage is a 314 ft/sup 3/ bin containing approximately 24,000 lbs of crushed rock located in a utility room. When solar energy is inadequate to satisfy the requirements of the space heating subsystem, auxiliary thermal energy is supplied from an 80,000 Btu/hr natural gas furnace. Domestic hot water is provided by a 30,000 Btu/hr natural gas water heater if the solar contribution is insufficient.

Not Available

1982-01-01T23:59:59.000Z

53

Emergy-based life cycle assessment (Em-LCA) of multi-unit and single-family residential buildings in Canada  

Science Journals Connector (OSTI)

Abstract The construction and building process depends on substantial consumption of natural resources with far-reaching impacts beyond their development area. In general, a significant portion of annual resource consumption by the building and construction industry is a result of applying traditional building strategies and practices such as designing and selecting types of development (e.g. multi-unit condo and single-family house, etc.), building materials and structure, heating/cooling systems, and planning renovation and maintenance practices. On the other hand, apart from structural suitability, building developers mostly consider the basic requirements of public owners or private occupants of the buildings, where the main criteria for selecting building strategies are costs, and long-term environmental and socio-economic impacts are generally ignored. The main purpose of this paper is to develop an improved building sustainability assessment framework to measure and integrate different sustainability factors, i.e. long-term environmental upstream and downstream impacts and associated socio-economic costs, in a unified and quantitative basis. The application of the proposed framework has been explained through a case study of single-family houses and multi-unit residential buildings in Canada. A comprehensive framework based on the integration of emergy synthesis and life cycle assessment (LCA) has been developed and applied. The results of this research prove that the proposed emergy-based life cycle assessment (Em-LCA) framework offers a practical sustainability assessment tool by providing quantitative and transparent results for informed decision-making.

Bahareh Reza; Rehan Sadiq; Kasun Hewage

2014-01-01T23:59:59.000Z

54

Measured energy savings and economics of retrofitting existing single-family homes: An update of the BECA-B database  

SciTech Connect

The energy bill for US single-family households was over $77 billion in 1987 (excluding auto fuel purchases), accounting for approximately 20% of national energy expenditures. Large sums are spent on residential retrofits by individual homeowners, government agencies, and utilities. As of late 1987, over 21 million households indicated that they had added at least one energy-saving measure in the previous two years, while a recent Electric Power Research Institute (EPRI) study estimated that nearly 15 million residential customers have participated in some kind of demand-side management (DSM) program. Given the level of continuing investments in residential energy efficiency, accurate estimates of savings from various conservation measures are increasingly necessary, especially as new technologies become more sophisticated and incremental efficiency gains more difficult to achieve. This report provides a comparative analysis of measured data on the performance and cost-effectiveness of energy-saving measures in existing single-family homes, based on information in the Buildings Energy-Use Compilation and Analysis (BECA) data base. The initial BECA report on measured data for single-family retrofits was completed seven years ago. In updating the single-family database, we have added 135 data points, representing over 33,000 houses, to the original database of 145 retrofit projects. The report is organized in two volumes. Volume 1 provides a summary of energy savings and costs of individual retrofit measures and strategies and results from federal/state low-income and utility weatherization programs. we also discuss measurement issues, predicted versus actual savings, trends in single-family retrofit programs, and implications for the next generation'' of cost-effective single-family retrofits. Volume 2 contains a written summary of each retrofit project and complete data tables. 87 refs., 20 figs., 16 tabs.

Cohen, S.D.; Goldman, C.A.; Harris, J.P.

1991-02-01T23:59:59.000Z

55

Measured energy savings and economics of retrofitting existing single- family homes: An update of the BECA-B database  

SciTech Connect

These appendices are the companion volume to report number LBL--28147 Vol.1, with the same title. The summary data tables include physical characteristics, energy consumption, savings, and the retrofit measures installed and their costs for each retrofit project. Each existing single family residential building'' retrofit project in the BECA-B database is described. 99 refs. (BM)

Cohen, S.D.; Goldman, C.A.; Harris, J.P.

1991-02-01T23:59:59.000Z

56

" Row: NAICS Codes, Value of Shipments...  

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

2 Capability to Switch Natural Gas to Alternative Energy Sources, 2010;" " Level: National and Regional Data;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" "...

57

" Row: NAICS Codes, Value of Shipments...  

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

6 Capability to Switch Electricity to Alternative Energy Sources, 2010; " " Level: National and Regional Data;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" "...

58

" Row: Specific Energy-Management Activities...  

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

4 Number of Establishments by Participation in Specific Energy-Management Activities, 2006;" " Level: National Data; " " Row: Specific Energy-Management Activities within NAICS...

59

" Row: Specific Energy-Management Activities...  

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

4 Number of Establishments by Participation in Specific Energy-Management Activities, 2010;" " Level: National Data; " " Row: Specific Energy-Management Activities within NAICS...

60

" Row: General Energy-Management Activities...  

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

1 Number of Establishments by Participation in General Energy-Management Activities, 2010;" " Level: National Data; " " Row: General Energy-Management Activities within NAICS...

Note: This page contains sample records for the topic "row factors single-family" 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

Statewide Electricity and Demand Capacity Savings from the Implementation of IECC Code in Texas: Analysis for Single-Family Residences  

E-Print Network (OSTI)

STATEWIDE ELECTRICITY AND DEMAND CAPACITY SAVINGS FROM THE IMPLEMENTATION OF IECC CODE IN TEXAS: ANALYSIS FOR SINGLE?FAMILY RESIDENCES 11th International Conference for Enhanced Building Operations New York City, October 18 ? 20, 2011 Hyojin...&M University System Statewide Electricity and Demand Savings from the IECC Code in TX 11th ICEBO Conference Oct. 18 ? 20, 2011 2 Outline Introduction Methodology Base?Case Building Results Summary Statewide Electricity and Demand Savings from the IECC...

Kim, H.; Baltazar, J.C.; Haberl, J.; Lewis, C.; Yazdani, B.

2011-01-01T23:59:59.000Z

62

Update rows? | OpenEI Community  

Open Energy Info (EERE)

Update rows? Update rows? Home > Groups > Databus Is it possible to update an existing row in a table? I'm thinking of the case of a table holding metadata about sensors. If the location changes, for example, can that row be changed/deleted/updated? thanks, Submitted by Hopcroft on 31 October, 2013 - 16:42 1 answer Points: 0 yes, it is done the same way you inserted the data, so just re-use your existing stuff and it will update. Deanhiller on 11 November, 2013 - 11:01 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows? How to use streaming chart? if you are an administrator, s... more Group members (7) Managers: Deanhiller Recent members: Bradmin Hopcroft Vikasgoyal

63

Update rows? | OpenEI Community  

Open Energy Info (EERE)

Update rows? Update rows? Home > Groups > Databus Is it possible to update an existing row in a table? I'm thinking of the case of a table holding metadata about sensors. If the location changes, for example, can that row be changed/deleted/updated? thanks, Submitted by Hopcroft on 31 October, 2013 - 16:42 1 answer Points: 0 yes, it is done the same way you inserted the data, so just re-use your existing stuff and it will update. Deanhiller on 11 November, 2013 - 11:01 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows? How to use streaming chart? if you are an administrator, s... more Group members (6) Managers: Deanhiller Recent members: Hopcroft Vikasgoyal Ksearight

64

Roswell International Air Center Airport (ROW) Pavement Condition and Analysis  

E-Print Network (OSTI)

Roswell International Air Center Airport (ROW) Pavement Condition and Analysis Submitted to: Jane M ................................................1. Conditions at Roswell International Air Center (ROW) 4 .................................Figure 1. Geographic Location of Roswell International Air Center (ROW) 4 ..............................Table 1

Cal, Mark P.

65

" Row: NAICS Codes; Column: Energy-Consumption Ratios;"  

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

N7.1. Consumption Ratios of Fuel, 1998;" N7.1. Consumption Ratios of Fuel, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per Employee","of Value Added","of Shipments","Row" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

66

" Row: NAICS Codes; Column: Energy-Consumption Ratios;"  

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

1 Consumption Ratios of Fuel, 2002;" 1 Consumption Ratios of Fuel, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per Employee","of Value Added","of Shipments","Row" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

67

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "NAICS"," "," ","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

68

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

69

" Level: National Data;" " Row: NAICS Codes;"  

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

1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002;" 1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Coal(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","LPG","Other(f)","Factors"

70

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2002;" 6 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

71

" Row: Energy-Management Activities within NAICS Codes;"  

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

1 Number of Establishments by Participation in Energy-Management Activity, 2002;" 1 Number of Establishments by Participation in Energy-Management Activity, 2002;" " Level: National Data; " " Row: Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Financial Support for Activity;" " Unit: Establishment Counts." " "," "," ",,,,," " " "," ",,," Source of Financial Support for Activity",,,"RSE" "NAICS"," "," ",,,,,"Row" "Code(a)","Energy-Management Activity","No Participation","Participation(b)","In-house","Other","Don't Know","Factors"

72

Mechanical performance of aquatic rowing and flying  

Science Journals Connector (OSTI)

...Anadromous and marine populations make...lift-based mechanism of propulsion (Thom & Swart 1940...suggested that rowing propulsion is more e cient than axial propulsion at slow speeds and...Laboratory comparisons of marine and freshwater turtles...

2000-01-01T23:59:59.000Z

73

BLM ROW Grant Template | Open Energy Information  

Open Energy Info (EERE)

Grant Template Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: BLM ROW Grant TemplateLegal Published NA Year Signed or Took Effect...

74

CSLC ROW Forms | Open Energy Information  

Open Energy Info (EERE)

Forms Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: CSLC ROW FormsLegal Abstract The California State Lands Commission (CSLC)...

75

Detailed Analysis of the Thermal Mass Credits in a Code-Traceable DOE-2 Simulation of the 2001 IECC for a Single-Family Residence in Texas  

E-Print Network (OSTI)

This paper presents the results of a study that investigates the thermal mass credits in the 2001 International Energy Conservation Code (IECC) (ICC 1999, 2001) for a single-family residence in Texas using the DOE-2 building energy simulation...

Kim, S.; Haberl, J.

76

Statewide Electricity and Demand Capacity Savings from the International Energy Conservation Code (IECC) Adoption for Single-Family Residences in Texas (2002-2011)  

E-Print Network (OSTI)

This report is the continuation of the previous 2011 Statewide Electricity Savings report from code-compliant, single-family residences built between 2002 and 2009. Statewide electricity and electric demand savings achieved from the adoption...

Kim, H.; Baltazar, J. C.; Haberl, J. S.; Yazdani, B.

2013-01-01T23:59:59.000Z

77

" Row: End Uses;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " ",," ","Distillate"," "," ","Coal"," " " ",,,"Fuel Oil",,,"(excluding Coal" " ","Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)","RSE" " ","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Row"

78

" Row: NAICS Codes;"  

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

2.1. Enclosed Floorspace and Number of Establishment Buildings, 1998;" 2.1. Enclosed Floorspace and Number of Establishment Buildings, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All Buildings","of Buildings Onsite","RSE" "NAICS"," ","Onsite","Establishments(b)","per Establishment","Onsite","per Establishment","Row"

79

Stability of tube rows in crossflow. [LMFBR  

SciTech Connect

A mathematical model for the instability of tube rows subjected to crossflow is examined. The theoretical model, based on the fluid-force data for a pitch-to-diameter ratio of 1.33, provides additional insight into the instability phenomenon. Tests are also conducted for three sets of tube rows. The effects of mass ratio, tube pitch, damping, detuning and finned tubes are investigated. Theoretical results and experimental data are in good agreement.

Chen, S.S.; Jendrzejczyk, J.A.

1982-10-01T23:59:59.000Z

80

" Row: NAICS Codes;"  

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

1 Enclosed Floorspace and Number of Establishment Buildings, 2002;" 1 Enclosed Floorspace and Number of Establishment Buildings, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All Buildings","of Buildings Onsite","RSE" "NAICS"," ","Onsite","Establishments(b)","per Establishment","Onsite","per Establishment","Row"

Note: This page contains sample records for the topic "row factors single-family" 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

Residential building design : comprehensive comparative guidelines for building single-family dwellings in Hawaii  

E-Print Network (OSTI)

Energy shortages, earthquakes, and hurricanes are environmental factors that challenge the home designers of Hawaii. The depletion of renewable natural resources and global warming trends foreshadow energy shortage and the ...

Nagata, Rochelle Morie

1997-01-01T23:59:59.000Z

82

" Row: Industry-Specific Technologies within Selected NAICS Codes;"  

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

3. Number of Establishments by Usage of Energy-Saving Technologies for Specific Industries, 1998;" 3. Number of Establishments by Usage of Energy-Saving Technologies for Specific Industries, 1998;" " Level: National Data; " " Row: Industry-Specific Technologies within Selected NAICS Codes;" " Column: Usage;" " Unit: Establishment Counts." ,,,,,"RSE" "NAICS"," ",,,,"Row" "Code(a)","Industry-Specific Technology","In Use(b)","Not in Use","Don't Know","Factors" ,,"Total United States" ,"RSE Column Factors:",1.3,0.5,1.5 , 311,"FOOD" ," Infrared Heating",762,13727,2064,1.8 ," Microwave Drying",270,14143,2140,2.5

83

Measurement-Based Evaluation of Installed Filtration System Performance in Single-Family Homes  

SciTech Connect

This guide discusses important study design issues to consider when conducting an on-site evaluation of filtration system performance. The two most important dichotomies to consider in developing a study protocol are (1) whether systems are being evaluated in occupied or unoccupied homes and (2) whether different systems are being compared in the same homes or if the comparison is between systems installed in different homes. This document provides perspective and recommendations about a suite of implementation issues including the choice of particle measurement devices, selection of sampling locations, ways to control and/or monitor factors and processes that can impact particle concentrations, and data analysis approaches.

Chan, Wanyu Rengie; Singer, Brett C.

2014-04-03T23:59:59.000Z

84

Installation guidelines for solar heating system, single-family residence at William O'Brien State Park, Stillwater, Minnesota  

SciTech Connect

The Solar Heating System installer guidelines are provided for each subsystem and testing and filling the system are included. This single-family residential heating system is a solar-assisted, hydronic-to-warm-air system with solar-assisted domestic water heating. It is composed of the following major components: liquid cooled flat plate collectors; water storage tank; passive solar-fired domestic water preheater; electric hot water heater; heat pump with electric backup; solar hot water coil unit; tube-and-shell heat exchanger, three pumps, and associated pipes and valving in an energy transport module; control system; and air-cooled heat purge unit. Information is also provided on the operating procedures, controls, caution requirements, and routine and schedule maintenance. Information consists of written procedures, schematics, detail drawings, pictures and manufacturer's component data.

Not Available

1980-05-01T23:59:59.000Z

85

Standard Work Specifications for Single-Family Home Energy Upgrades Summary (Fact Sheet), Guidelines For Home Energy Professionals, Energy Efficiency & Renewable Energy (EERE)  

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

Work Specifications Work Specifications for Single-Family Home Energy Upgrades Summary The U.S. Department of Energy (DOE), the National Renewable Energy Laboratory (NREL) and numer- ous industry stakeholders developed the Standard Work Specifications for Single-Family Home Energy Upgrades to define the minimum requirements for high- quality residential energy upgrades. The Standard Work Specifications for Single-Family Home Energy Upgrades is the first of three documents that will be published in 2012 and 2013 as part of the Guidelines for Home Energy Professionals project. Specifications for manufactured housing and multifamily homes will also be available. DOE, NREL, and industry developed the Standard Work Specifications under the Weatherization Assistance Program, building on more than 30 years of experience

86

Publications by Timothy Rowe February 25, 2008  

E-Print Network (OSTI)

Digital Library: www.DigiMorph.org High-Resolution X-ray CT Facility: www.ctlab.geo.utexas.edu Vertebrate: Digital Atlas of the Skull. CD-ROM (Second Edition, for Windows and Macintosh platforms), University.0, October 1994. Rowe, T., W. Carlson, and W. Bottorff. 1993. Thrinaxodon: Digital Atlas of the Skull. CD

Yang, Zong-Liang

87

" Row: NAICS Codes;"  

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

2. Number of Establishments by Usage of Cogeneration Technologies, 1998;" 2. Number of Establishments by Usage of Cogeneration Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." ,,,"Establishments" " "," ",,"with Any"," Steam Turbines","Supplied","by Either","Conventional","Combustion","Turbines"," "," "," ","Internal","Combustion","Engines"," Steam Turbines","Supplied","by Heat"," ",," "

88

File:UtilityROW.pdf | Open Energy Information  

Open Energy Info (EERE)

UtilityROW.pdf Jump to: navigation, search File File history File usage File:UtilityROW.pdf Size of this preview: 364 600 pixels. Go to page 1 2 3 Go next page next page...

89

" Level: National Data;" " Row: NAICS Codes;"  

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

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002;" 9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Residual",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)","Factors"

90

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002;" 3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","Coal","Breeze","Other(f)","Factors"

91

" Level: National Data;" " Row: NAICS Codes;"  

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

5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" 5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Residual Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)","Factors"

92

" Row: Energy-Management Activities within NAICS Codes;"  

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

C9.1. Number of Establishments by Participation in Energy-Management Activity, 1998;" C9.1. Number of Establishments by Participation in Energy-Management Activity, 1998;" " Level: National Data; " " Row: Energy-Management Activities within NAICS Codes;" " Column: Participation and General Amounts of Establishment-Paid Activity Cost;" " Unit: Establishment Counts." " "," "," ",,,,,," " " "," ",,,"General","Amount of ","Establishment-Paid","Activity Cost","RSE" "NAICS"," "," ",,,,,,"Row" "Code(a)","Energy-Management Activity","No Participation","Participation(b)","All","Some","None","Don't Know","Factors"

93

Test for Modeling Windows in DOE 2.1E for Comparing the Window Library with the Shading Coefficient Method for a Single-Family Residence in Texas  

E-Print Network (OSTI)

. The window simulation tests are performed using single-pane, double-pane, and low-e glass on two standard DOE 2.1E single-family house models: 1) the model which has the R-value for wall, roof and floor according to 2000 IECC (Quick Wall), and 2) the model...

Kim, S.; Haberl, J. S.

2008-07-18T23:59:59.000Z

94

" Row: NAICS Codes;"  

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"," Steam Turbines Supplied by Either Conventional or Fluidized Bed Boilers",,,"Conventional Combusion Turbines with Heat Recovery",,,"Combined-Cycle Combusion Turbines",,,"Internal Combusion Engines with Heat Recovery",,," Steam Turbines Supplied by Heat Recovered from High-Temperature Processes",,,," "

95

chain 2chain 3 4row of 6 racks and 2 row of 5 racks  

E-Print Network (OSTI)

chain 1 chain 2chain 3 4row of 6 racks and 2 row of 5 racks chain 4 chain 10 6 5 4 3 2 1 chain 5 chain 6 f b fb f b b f f b b f 1 2 3 4 5 6 1 2 3 4 5 1:50 Rack A with 52 HU (2500*900*600) door door HV.0 1840.0 300.0 #12;chain 10 Layout of 2nd floorchain 4 chain 3 chain 2 chain 5 chain 6 chain 101:50 Rack

96

" Row: End Uses;"  

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

8 End Uses of Fuel Consumption, 2010;" 8 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." ,,,"Distillate" ,,,"Fuel Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)" ,"Total United States" "TOTAL FUEL CONSUMPTION",2886,79,130,5211,69,868

97

" Row: End Uses;"  

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

7 End Uses of Fuel Consumption, 2006;" 7 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." ,,,"Distillate",,,"Coal" ,,,"Fuel Oil",,,"(excluding Coal" ,"Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)" ,"for Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million" "End Use","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)"

98

Level: National and Regional Data; Row: Values of Shipments and...  

Gasoline and Diesel Fuel Update (EIA)

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption...

99

Level: National and Regional Data; Row: Values of Shipments and...  

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

2 Electricity: Components of Net Demand, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Electricity Components; Unit: Million...

100

Level: National and Regional Data; Row: NAICS Codes, Value of...  

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

6 Capability to Switch Electricity to Alternative Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy...

Note: This page contains sample records for the topic "row factors single-family" 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

Level: National Data and Regional Totals; Row: NAICS Codes, Value...  

Gasoline and Diesel Fuel Update (EIA)

2 Capability to Switch Natural Gas to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column:...

102

Level: National Data and Regional Totals; Row: NAICS Codes, Value...  

Gasoline and Diesel Fuel Update (EIA)

4 Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;...

103

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

Gasoline and Diesel Fuel Update (EIA)

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit:...

104

Level: National Data and Regional Totals; Row: NAICS Codes, Value...  

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

6 Capability to Switch Electricity to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column:...

105

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

Gasoline and Diesel Fuel Update (EIA)

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment...

106

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

Annual Energy Outlook 2012 (EIA)

3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit:...

107

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

Gasoline and Diesel Fuel Update (EIA)

0.5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit:...

108

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

Gasoline and Diesel Fuel Update (EIA)

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment...

109

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

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

1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment...

110

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

Annual Energy Outlook 2012 (EIA)

3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit:...

111

Level: National Data and Regional Totals; Row: NAICS Codes, Value...  

Annual Energy Outlook 2012 (EIA)

8 Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;...

112

Level: National and Regional Data; Row: NAICS Codes, Value of...  

Annual Energy Outlook 2012 (EIA)

2 Capability to Switch Natural Gas to Alternative Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy...

113

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

Gasoline and Diesel Fuel Update (EIA)

5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit:...

114

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

Gasoline and Diesel Fuel Update (EIA)

7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit:...

115

Level: National Data and Regional Totals; Row: NAICS Codes, Value...  

Annual Energy Outlook 2012 (EIA)

0 Capability to Switch Coal to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy...

116

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

Gasoline and Diesel Fuel Update (EIA)

1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment...

117

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

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

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit:...

118

Level: National Data and Regional Totals; Row: NAICS Codes, Value...  

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

2 Capability to Switch LPG to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy...

119

Level: National Data; Row: NAICS Codes; Column: Energy Sources...  

Gasoline and Diesel Fuel Update (EIA)

7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit:...

120

Level: National Data; Row: Specific Energy-Management Activities...  

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

be conducted in 2010 Table 8.4 Number of Establishments by Participation in Specific Energy-Management Activities, 2006; Level: National Data; Row: Specific Energy-Management...

Note: This page contains sample records for the topic "row factors single-family" 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

Level: National Data; Row: Specific Energy-Management Activities...  

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

be fielded in 2015 Table 8.4 Number of Establishments by Participation in Specific Energy-Management Activities, 2010; Level: National Data; Row: Specific Energy-Management...

122

NMSLO Affidavit of Completion of ROW Construction | Open Energy...  

Open Energy Info (EERE)

NMSLO Affidavit of Completion of ROW Construction (2007). Retrieved from "http:en.openei.orgwindex.php?titleNMSLOAffidavitofCompletionofROWConstruction&oldid72836...

123

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

1. Fuel Consumption, 1998;" 1. Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

124

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

S5.1. Selected Byproducts in Fuel Consumption, 1998;" S5.1. Selected Byproducts in Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," ","Waste"," ",," " " "," "," ","Blast"," "," ","Pulping Liquor"," ","Oils/Tars","RSE" "SIC"," "," ","Furnace/Coke"," ","Petroleum","or","Wood Chips,","and Waste","Row"

125

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Offsite-Produced Fuel Consumption, 2002;" 1 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","(million","(million","Other(f)","Row"

126

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Fuel Consumption, 2002;" 1 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","(million","(million","Other(f)","Row"

127

Instability characteristics of fluidelastic instability of tube rows in crossflow  

SciTech Connect

An experimental study is reported to investigate the jump phenomenon in critical flow velocities for tube rows with different pitch-to-diameter ratios and the excited and intrinsic instabilities for a tube row with a pitch-to-diameter ratio of 1.75. The experimental data provide additional insights into the instability phenomena of tube arrays in crossflow. 9 refs., 10 figs.

Chen, S.S.; Jendrzejczyk, J.A.

1986-04-01T23:59:59.000Z

128

DEMONSTRATION RANK VIA THE SVD AND ROW ECHELON FORM  

E-Print Network (OSTI)

OUTLINES DEMONSTRATION RANK VIA THE SVD AND ROW ECHELON FORM TWO TWISTS AND A TEST NUMERICAL RANK VIA THE SVD AND ROW ECHELON FORM TWO TWISTS AND A TEST NUMERICAL RESULTS CONCLUSIONS GOAL rank construct a basis for the null space. LESLIE FOSTER MATHEMATICS SAN JOSE STATE UNIVERSITY FOSTER

Foster, Leslie

129

" Row: NAICS Codes; Column: Energy Sources;"  

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

1. Fuel Consumption, 1998;" 1. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

130

Level: National Data; Row: General Energy-Management Activities...  

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

will be fielded in 2015 Table 8.1 Number of Establishments by Participation in General Energy-Management Activities, 2010; Level: National Data; Row: General Energy-Management...

131

Optimization Online - Simultaneous Column-and-Row Generation ...  

E-Print Network (OSTI)

Nov 14, 2010 ... Abstract: In this paper, we develop a simultaneous column-and-row generation algorithm that could be applied to a general class of large-scale ...

Ibrahim Muter

2010-11-14T23:59:59.000Z

132

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2002;" 1 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal" " "," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Row"

133

" Row: End Uses within NAICS Codes;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)","RSE" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Row"

134

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,"Coke" " "," "," ","Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)","Row"

135

" Row: NAICS Codes; Column: Energy Sources;"  

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

6 Quantity of Purchased Energy Sources, 2002;" 6 Quantity of Purchased Energy Sources, 2002;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity","Fuel Oil","Fuel Oil(b)"," Gas(c)","NGL(d)","(million","(million ","Other(e)","Row"

136

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

S4.1. Offsite-Produced Fuel Consumption, 1998;" S4.1. Offsite-Produced Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

137

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2002;" 3 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" " "," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","RSE" "NAICS"," ","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Row"

138

" Row: NAICS Codes (3-Digit Only); Column...  

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

to other energy products" "(e.g., crude oil converted to residual and distillate fuel oils) are excluded." " NFNo applicable RSE rowcolumn factor." " * Estimate less...

139

" Row: NAICS Codes; Column: Energy Sources...  

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

"to other energy products (e.g., crude oil converted to residual and distillate" "fuel oils) are excluded." " NFNo applicable RSE rowcolumn factor." " * Estimate less...

140

New energy-conserving passive solar single-family homes. Cycle 5, Category 2 HUD solar heating and cooling demonstration program  

SciTech Connect

The 91 new single-family, energy-conserving passive solar homes described represent award winning designs of the series of five demonstration cycles of the HUD program. Information is presented to help builders and lenders to understand passive solar design, to recognize passive solar buildings, and to provide specific design, construction, and marketing suggestions and details. The first section describes the concept of passive solar energy, explains the various functions which passive solar systems must perform, and discusses the various types of passive systems found in the Cycle 5 projects. The second section discusses each of the 91 solar homes. The third section details the issues of climate requirements and site design concerns, gives examples of building construction, and suggests how to market solar homes. The appendices address more technical aspects of the design and evaluation of passive solar homes.

Not Available

1981-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "row factors single-family" 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

Use of active solar heating and domestic hot water (DHW) systems in single family homes: technical findings and lessons learned from the HUD solar demonstration program  

SciTech Connect

This report describes the technical experiences with active solar space and domestic water heating systems installed in single family homes. It is intended to assist members of the home building and solar industries to provide their customers with satisfactory products and installations and to avoid some of the problems caused by improper equipment, system design, and installation. Two chapters focus on liquid and air systems. Problems are discussed by subsystem: collectors, transport, storage, distribution, and control. Industry responsibility, including cooperation during the construction phase and responsiveness during the occupancy phase, are considered. The conclusion notes that system efficiency, which now runs in the 10 to 30 - percent range, can be greatly improved if the solar and home building industries make greater efforts to properly insulate pipes, ducts, and storage; assure system operation at the proper time; and minimize leaks through valves or dampers. Additional suggestions are given. Graphs, photographs, footnotes, a glossary, and selected bibliographies are provided.

Freeborne, W.; Mara, G.

1982-12-01T23:59:59.000Z

142

Microsoft Word - CX_Memo_SchultzROW.docx  

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

2 2 REPLY TO ATTN OF: KEC-4 SUBJECT: Environmental Clearance Memorandum Brandee Shoemaker Project Manager - TERM-TPP-4 Proposed Action: Schultz-Raver No.1 Right-Of-Way (ROW) Marking Project Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B1.3 Routine Maintenance Location: Kittitas County, Washington Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA is proposing to survey and mark the northern boundary of its transmission line ROW for the Schultz-Raver No.1 and Schultz-Echo Lake No.1 transmission line corridor in Kittitas County, WA. Due to high development pressure, a lack of visible signage, and incomplete county records, encroachments into the ROW have occurred in the

143

Improving Data Center Efficiency with Rack or Row Cooling Devices  

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

Challenging conventional Challenging conventional cooling systems Rack/row-mounted cooling devices can replace or supplement conventional cooling systems and result in energy savings. Conventional data center cool- ing is achieved with computer room air conditioners (CRACs) or computer room air handlers (CRAHs). These CRAC and CRAH units are typically installed in data centers on top of raised-floors that are used for cooling air distribution. Such under-floor air distribution is not required by the new rack/row-mounted devices. Consequently, the vagaries of under-floor airflow pathways for room conditioning are avoided. Importantly, close-coupled devices may be better

144

Improving Data Center Efficiency with Rack or Row Cooling Devices  

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

Challenging conventional Challenging conventional cooling systems Rack/row-mounted cooling devices can replace or supplement conventional cooling systems and result in energy savings. Conventional data center cool- ing is achieved with computer room air conditioners (CRACs) or computer room air handlers (CRAHs). These CRAC and CRAH units are typically installed in data centers on top of raised-floors that are used for cooling air distribution. Such under-floor air distribution is not required by the new rack/row-mounted devices. Consequently, the vagaries of under-floor airflow pathways for room conditioning are avoided. Importantly, close-coupled devices may be better

145

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2010;" 2 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," " " "," " "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

146

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Offsite-Produced Fuel Consumption, 2006;" 1 Offsite-Produced Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",,,," "," "," ",," "," "," "," "," " " "," ",,,,,,,,,,,"Coke" " "," "," ",,,,"Residual","Distillate","Natural Gas(d)",,"LPG and","Coal","and Breeze"," " "NAICS"," ","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","(billion",,"NGL(e)","(million","(million","Other(f)"

147

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Fuel Consumption, 2010;" 1 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," " "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)"

148

" Row: End Uses within NAICS Codes;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ","Coal"," "," " " "," ",,,,"Fuel Oil",,,"(excluding Coal" " "," "," ","Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)"," ","RSE"

149

" Row: NAICS Codes; Column: Energy Sources;"  

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

6 Quantity of Purchased Energy Sources, 2010;" 6 Quantity of Purchased Energy Sources, 2010;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," " "NAICS"," ","Total","Electricity","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)"

150

U.S. gasoline price decreases for 17th week in a row (short version...  

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

gasoline price decreases for 17th week in a row (short version) The U.S. average retail price for regular gasoline fell for the 17th week in a row to 2.04 a gallon on Monday....

151

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2006;" 2 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

152

" Row: NAICS Codes; Column: Energy Sources;"  

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

3.4 Number of Establishments by Fuel Consumption, 2006;" 3.4 Number of Establishments by Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

153

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2010;" 3 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

154

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2010;" 1.1 Electricity: Components of Net Demand, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",75652,21,5666,347,80993

155

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2010;" 4 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

156

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2006;" 4 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

157

" Row: Employment Sizes within NAICS Codes;"  

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

4 Consumption Ratios of Fuel, 2006;" 4 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES"

158

" Row: NAICS Codes; Column: Energy Sources;"  

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

2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" 2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," ",," " " "," ","Any Combustible" "NAICS"," ","Energy","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

159

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2006;" 1.1 Electricity: Components of Net Demand, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",73242,309,4563,111,78003

160

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2006;" 3 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

Note: This page contains sample records for the topic "row factors single-family" 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

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2010;" 2 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

162

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2006;" 1 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

163

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Fuel Consumption, 2006;" 1 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,,,,"Coke" ,,,,"Net",,"Residual","Distillate","Natural Gas(d)",,"LPG and","Coal","and Breeze" "NAICS",,"Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","(billion",,"NGL(e)","(million","(million","Other(f)" "Code(a)","Subsector and Industry","(trillion Btu)",,"(million kWh)",,"(million bbl)","(million bbl)","cu ft)",,"(million bbl)","short tons)","short tons)","(trillion Btu)"

164

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Fuel Consumption, 2006;" 2 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,"Net",,"Residual","Distillate",,,"LPG and",,,"Coke" "Code(a)","Subsector and Industry","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","Natural Gas(d)",,"NGL(e)",,"Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1186,,251,,26,16,635,,3,,147,1,107 3112," Grain and Oilseed Milling",317,,53,,2,1,118,,"*",,114,0,30

165

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2010;" 1 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

166

" Row: NAICS Codes; Column: Energy Sources;"  

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

1 Offsite-Produced Fuel Consumption, 2010;" 1 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,"Coke" ,,,,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze" "NAICS",,"Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)" "Code(a)","Subsector and Industry","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","short tons)","(trillion Btu)"

167

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2010;" 2 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,"Residual","Distillate",,"LPG and",,"Coke" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1113,258,12,22,579,5,182,2,54 3112," Grain and Oilseed Milling",346,57,"*",1,121,"*",126,0,41

168

" Row: NAICS Codes; Column: Energy Sources;"  

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

2 Offsite-Produced Fuel Consumption, 2006;" 2 Offsite-Produced Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,,,"Residual","Distillate",,,"LPG and",,,"Coke" "Code(a)","Subsector and Industry","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","Natural Gas(d)",,"NGL(e)",,"Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",1124,,251,,26,16,635,,3,,147,1,45 3112," Grain and Oilseed Milling",316,,53,,2,1,118,,"*",,114,0,28

169

E-Print Network 3.0 - abdominal multi-detector row Sample Search...  

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

Chest press Arm fly Arm extension Lateralraise... Low pulley Squat & Pull ups Hack Squat Iso-lateral Lateral Row Iso-lateral Horizontal Iso Source: Bordenstein, Seth -...

170

Level: National Data; Row: NAICS Codes; Column: Energy Sources;  

Gasoline and Diesel Fuel Update (EIA)

Next MECS will be fielded in 2015 Table 3.4 Number of Establishments by Fuel Consumption, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 13,269 13,265 144 2,416 10,373 4,039 64 7 1,538 3112 Grain and Oilseed Milling 602 602 9 204 489 268 30 0 140 311221 Wet Corn Milling 59 59 W 28 50 36 15 0 29 31131 Sugar Manufacturing 73 73 3 36 67 12 W 7 14 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987 17 207 839 503 W 0 210 3115 Dairy Products 998 998 12 217 908

171

Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings;  

Gasoline and Diesel Fuel Update (EIA)

9.1 Enclosed Floorspace and Number of Establishment Buildings, 2010; 9.1 Enclosed Floorspace and Number of Establishment Buildings, 2010; Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings; Unit: Floorspace Square Footage and Building Counts. Approximate Approximate Average Enclosed Floorspace Average Number Number of All Buildings Enclosed Floorspace of All Buildings of Buildings Onsite NAICS Onsite Establishments(b) per Establishment Onsite per Establishment Code(a) Subsector and Industry (million sq ft) (counts) (sq ft) (counts) (counts) Total United States 311 Food 1,115 13,271 107,293.7 32,953 3.1 3112 Grain and Oilseed Milling 126 602 443,178.6 5,207 24.8 311221 Wet Corn Milling 14 59 270,262.7 982 18.3 31131 Sugar Manufacturing

172

Section 4.6 Rank The set of all linear combinations of the row vectors of a matrix A is called the row space of A and  

E-Print Network (OSTI)

Section 4.6 Rank The set of all linear combinations of the row vectors of a matrix A is called # of nonpivot columns of A. DEFINITION The rank of A is the dimension of the column space of A. rank A dim Col A # of pivot columns of A dim Row A . rank A dim Nul A N n # of pivot columns of A # of nonpivot columns

Belykh, Igor

173

" Row: Selected SIC Codes; Column: Energy Sources and Shipments;"  

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

2. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" 2. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources and Shipments;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," "," ",," "," ",," "," ",," ","Shipments","RSE" "SIC"," ",,"Net","Residual","Distillate",,"LPG and",,"Coke and"," ","of Energy Sources","Row"

174

U.S. gasoline price decreases for 17th week in a row (long version...  

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

26, 2015 U.S. gasoline price decreases for 17th week in a row (long version) The U.S. average retail price for regular gasoline fell for the 17th week in a row to 2.04 a gallon on...

175

GRR/Section 3-AK-b - Right of Ways (ROWs) | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 3-AK-b - Right of Ways (ROWs) GRR/Section 3-AK-b - Right of Ways (ROWs) < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-AK-b - Right of Ways (ROWs) 03AKBRightOfWaysROWs.pdf Click to View Fullscreen Contact Agencies Alaska Department of Natural Resources Alaska Division of Mining Land and Water Regulations & Policies Alaska Statutes Alaska Administrative Code Triggers None specified Click "Edit With Form" above to add content 03AKBRightOfWaysROWs.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative The Alaska Division of Mining Land and Water (ML&W) oversees land use within the state and issues right of ways, easements or permit to use state

176

GRR/Section 3-HI-e - Permit to Construct Upon a State Highway ROW | Open  

Open Energy Info (EERE)

GRR/Section 3-HI-e - Permit to Construct Upon a State Highway ROW GRR/Section 3-HI-e - Permit to Construct Upon a State Highway ROW < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-HI-e - Permit to Construct Upon a State Highway ROW 03HIEConstructionUponAStateHighwayROW.pdf Click to View Fullscreen Contact Agencies Hawaii Department of Transportation Highways Division Regulations & Policies Hawaii Revised Statute Chapter 264 Hawaii Administrative Rules Title 19, Chapter 102 Hawaii Administrative Rules Title 19, Chapter 105 Triggers None specified Click "Edit With Form" above to add content 03HIEConstructionUponAStateHighwayROW.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range.

177

J. Am. Chem. SOC.1994,116, 8733-8740 8733 Energetics of Third-Row Transition Metal Methylidene Ions  

E-Print Network (OSTI)

J. Am. Chem. SOC.1994,116, 8733-8740 8733 Energetics of Third-Row Transition Metal Methylidene Ions methylidene ions MCH2+ of the 5d transition series. On the basis of our calculations and available first- row (3d) and second-row (4d) transition metals. Indeed, recent gas-phase studies of the reactions

Goddard III, William A.

178

Level: National Data; Row: NAICS Codes; Column: Energy Sources  

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

3.4 Number of Establishments by Fuel Consumption, 2006; 3.4 Number of Establishments by Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,113 326 1,462 11,395 2,920 67 13 1,240 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 148 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 18 31131 Sugar Manufacturing 78 78 11 43 61 35 26 13 45 3114 Fruit and Vegetable Preserving and Specialty Food 1,125 1,125 13 112 961 325 W 0 127 3115 Dairy Product 1,044 1,044 25 88 941 147 W 0 104 3116 Animal Slaughtering and Processing

179

Level: National Data; Row: Values of Shipments within NAICS Codes;  

Gasoline and Diesel Fuel Update (EIA)

3 Consumption Ratios of Fuel, 2010; 3 Consumption Ratios of Fuel, 2010; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 405.4 4.0 2.1 20-49 631.3 4.7 2.2 50-99 832.0 4.9 2.3 100-249 1,313.4 6.2 2.8 250-499 1,905.2 7.4 3.6 500 and Over 4,225.4 7.5 3.1 Total 1,449.6 6.4 2.8 311 FOOD Value of Shipments and Receipts (million dollars) Under 20 576.6 5.9

180

Level: National Data; Row: Values of Shipments within NAICS Codes;  

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

3 Consumption Ratios of Fuel, 2006; 3 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 330.6 3.6 2.0 20-49 550.0 4.5 2.2 50-99 830.1 5.9 2.7 100-249 1,130.0 6.7 3.1 250-499 1,961.4 7.6 3.6 500 and Over 3,861.9 9.0 3.6 Total 1,278.4 6.9 3.1 311 FOOD Value of Shipments and Receipts (million dollars) Under 20 979.3 10.3

Note: This page contains sample records for the topic "row factors single-family" 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

Level: National Data; Row: NAICS Codes; Column: Energy Sources;  

Gasoline and Diesel Fuel Update (EIA)

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010; 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 13,269 13,265 144 2,413 10,373 4,039 64 W 1,496 3112 Grain and Oilseed Milling 602 602 9 201 489 268 30 0 137 311221 Wet Corn Milling 59 59 W 26 50 36 15 0 28 31131 Sugar Manufacturing 73 73 3 36 67 12 11 W 11 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987 17 207 839 503 W 0 207 3115 Dairy Products 998 998 12 217 908 161 W 0 79 3116 Animal Slaughtering and Processing

182

Level: National Data; Row: Employment Sizes within NAICS Codes;  

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

4 Consumption Ratios of Fuel, 2006; 4 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Employment Sizes within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Employment Size Under 50 562.6 4.7 2.4 50-99 673.1 5.1 2.4 100-249 1,072.8 6.5 3.0 250-499 1,564.3 7.7 3.6 500-999 2,328.9 10.6 4.5 1000 and Over 1,415.5 5.7 2.5 Total 1,278.4 6.9 3.1 311 FOOD Employment Size Under 50 1,266.8 8.3 3.2 50-99 1,587.4 9.3 3.6 100-249 931.9 3.6 1.5 250-499 1,313.1 6.3

183

Analysis of conventional and plutonium recycle unit-assemblies for the Yankee (Rowe) PWR  

E-Print Network (OSTI)

An analysis and comparison of Unit Conventional UO2 Fuel-Assemblies and proposed Plutonium Recycle Fuel Assemblies for the Yankee (Rowe) Reactor has been made. The influence of spectral effects, at the watergaps -and ...

Mertens, Paul Gustaaf

1971-01-01T23:59:59.000Z

184

Row spacing effects on the canopy light extinction coefficient of upland cotton  

E-Print Network (OSTI)

Field experiments were conducted in 1998 and 1999 at the Stiles Farm, Thrall, Texas and the Blackland Research Center, Temple, Texas, respectively, to characterize the influence of row spacing, plant density and time of day on the extinction...

Steglich, Evelyn Marie

2012-06-07T23:59:59.000Z

185

E-Print Network 3.0 - alternate row placement Sample Search Results  

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

Andrew E. Caldwell, Andrew B. Kahng and Igor L. Markov Summary: ,abk,imarkovg@cs.ucla.edu Abstract This work focuses on congestion-driven placement of standard cells into rows in...

186

U.S. gasoline prices decreases for 16th week in a row; breaking...  

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

18, 2015 U.S. gasoline prices decreases for 16th week in a row; breaking previous record set in 2008 (long version) The U.S. average retail price for regular gasoline fell 7.3...

187

U.S. gasoline prices decreases for 16th week in a row; breaking...  

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

gasoline prices decreases for 16th week in a row; breaking previous record set in 2008 (short version) The U.S. average retail price for regular gasoline fell 7.3 cents from a week...

188

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,"Coke" " "," "," ","Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)","Row"

189

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," "," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)","Row"

190

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2002;" 5 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Row"

191

An Economic Comparison of Conventional and Narrow-Row Cotton Production--Southern Plains of Texas.  

E-Print Network (OSTI)

JUN ~ 3 1977 Texas A&M University June 19' An Economic Comparison of Coventional and Narrow-Row -- Cotton Production-Southern High Plains of Texas The Texas Agricultural Experiment Station, J. E. Miller, Director' The Texas A&M University... interest in adopting narrow-row sys tems for cotton production in the Southern High Plains of Texas prompted an economic comparison of these new systems with conventional production sys tems for cotton. Previous experimental research in dicated...

Young, Kenneth B.; Adams, James R.

1977-01-01T23:59:59.000Z

192

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

N4.1. Offsite-Produced Fuel Consumption, 1998;" N4.1. Offsite-Produced Fuel Consumption, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

193

" Row: NAICS Codes; Column: Energy Sources and Shipments;"  

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

.1. Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" .1. Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources and Shipments;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ","Any",," "," ",," "," ",," ","Shipments","RSE" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke and"," ","of Energy Sources","Row"

194

Recommendations for 15% Above-Code Energy Efficiency Measures on Implementing Houston Amendments to Single-Family Residential Buildings in Houston Texas  

E-Print Network (OSTI)

,000 - $7,000 Marginal 4 PV Array for Partial Demand at 2kW 11.6% $17,000 New System 25 50% Energy Star CFL Indoor Lamps 6.0% $45 - $100 Marginal 29 Tankless Gas Water Heater 7.0% $1,000 - $3,500 Marginal 9 Decreased Duct Leakage 7.5% $200 - $450 New System... for backside wall WWR% for right side wall WWR% for left side wall Radiant Barrier Roof Abs Infiltration Rate (ACH/hr) Pitch of Roof (degree) Lighting (kW) Energy Factor Base case Natural Gas w/ setback 500 360 1.0 20% 10% ATTIC 13 0.78 7.70 0.4 0...

Mukhopadhyay, J.; Liu, Z.; Malhotra, M.; Kota, S.; Blake, S.; Haberl, J.; Culp, C.; Yazdani, B.

195

Multi-Dimensional Stiffness Characteristics of Double Row Angular Contact Ball Bearings and Their Role in Influencing Vibration Modes.  

E-Print Network (OSTI)

?? A new analytical stiffness model for the double row angular contact ball bearings is proposed since the current methods do not provide stiffness matrix… (more)

Gunduz, Aydin

2012-01-01T23:59:59.000Z

196

GRR/Section 3-NV-c - Encroachment Permit for NDOT ROW | Open Energy  

Open Energy Info (EERE)

GRR/Section 3-NV-c - Encroachment Permit for NDOT ROW GRR/Section 3-NV-c - Encroachment Permit for NDOT ROW < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-NV-c - Encroachment Permit for NDOT ROW 03NVCEncroachment (1).pdf Click to View Fullscreen Contact Agencies Nevada Department of Transportation Regulations & Policies NRS Chapter 405 Control and Preservation of Public Highways Triggers None specified Click "Edit With Form" above to add content 03NVCEncroachment (1).pdf 03NVCEncroachment (1).pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative The Nevada Department of Transportation (NDOT) grants permits for permanent installations within State rights-of-way and in areas maintained by the

197

Microsoft Word - CX-Pearl-Keeler_ROW_Marking_10June2013  

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

Rick Teiper Rick Teiper Project Manager - TERM-TPP-4 Proposed Action: Pearl-Keeler Right-of-Way (ROW) Marking Project Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B1.3 Routine Maintenance Location: Washington County, Oregon Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA proposes to survey and mark the Pearl-Keeler No. 1 transmission line ROW boundary in Washington County, Oregon. The installation of markers to demarcate BPA's ROW would prevent encroachment from homeowners and developers, ensure the safety of nearby residents, and allow for the continued safe maintenance and operation of BPA's transmission lines. The proposed Project would install yellow carsonite markers and monuments along an

198

Detailed Analysis of Thermal Mass Effects in a Code-Traceable DOE-2 Simulation of the 2000 IECC for a Single-Family Residence in Texas: A Project for Texas' Senate Bill 5 Legislation for Reducing Pollution in Nonattainment and Affected Areas  

E-Print Network (OSTI)

This study examines the thermal mass effects in a code-traceable DOE-2 simulation of the 2000 IECC (International Energy Conservation Code) for a single-family residence in Texas. This report is composed of two major simulations: 1) the simulation...

Kim, S.; Haberl, J. S.

2008-07-18T23:59:59.000Z

199

Rate-Harmonized Scheduling for Saving Energy Anthony Rowe Karthik Lakshmanan Haifeng Zhu Ragunathan (Raj) Rajkumar  

E-Print Network (OSTI)

Rate-Harmonized Scheduling for Saving Energy Anthony Rowe Karthik Lakshmanan Haifeng Zhu Ragunathan mode, substantially more energy savings can be obtained but it requires a significant amount of time such that processor idle times are lumped together. We next introduce the Energy-Saving Rate-Harmonized Scheduler

Rowe, Anthony

200

SOUTHWEST COTTON HARVEST AID PERFORMANCE AND NARROW ROW OPTIONS Wayne Keeling  

E-Print Network (OSTI)

SOUTHWEST COTTON HARVEST AID PERFORMANCE AND NARROW ROW OPTIONS Wayne Keeling Texas Agricultural Experiment Station Lubbock, TX Abstract Cotton is produced in the Southwest (Texas and Oklahoma) under a wide in rainfall and availability of irrigation, yields may range from 1250 lb/A. Cotton is harvested

Mukhtar, Saqib

Note: This page contains sample records for the topic "row factors single-family" 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

Rows of ATP Synthase Dimers in Native Mitochondrial Inner Membranes Nikolay Buzhynskyy,* Pierre Sens,y  

E-Print Network (OSTI)

Rows of ATP Synthase Dimers in Native Mitochondrial Inner Membranes Nikolay Buzhynskyy,* Pierre Marseille, France ABSTRACT The ATP synthase is a nanometric rotary machine that uses a transmembrane electrochemical gradient to form ATP. The structures of most components of the ATP synthase are known, andtheir

Sens, Pierre

202

Heat transfer from multiple row arrays of low aspect ratio pin fins Seth A. Lawson a,  

E-Print Network (OSTI)

Heat transfer from multiple row arrays of low aspect ratio pin fins Seth A. Lawson a, , Alan A 18 March 2011 Available online 5 May 2011 Keywords: Pin fins Heat transfer augmentation Array to enhance heat transfer. In modern gas turbines, for exam- ple, airfoils are designed with sophisticated

Thole, Karen A.

203

" Row: Selected SIC Codes; Column: Energy Sources and Shipments;"  

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

1. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" 1. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources and Shipments;" " Unit: Physical Units or Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," "," ",," "," ",," "," ","Coke and"," ","Shipments"," " " "," ",,"Net","Residual","Distillate","Natural Gas(e)","LPG and","Coal","Breeze"," ","of Energy Sources","RSE"

204

Japan may take nuclear option in fusion row By David Pilling in Tokyo  

E-Print Network (OSTI)

Japan may take nuclear option in fusion row By David Pilling in Tokyo Published: November 20 2004 the joint project, Japan's chief negotiator has warned. The European Union says it has the financial and scientific clout to build and run a reactor in France, without Japan's support. Tokyo says it will fund more

205

MOVEMENT OF FEMALE WHITE-TAILED DEER: EFFECTS OF CLIMATE AND INTENSIVE ROW-CROP AGRICULTURE  

E-Print Network (OSTI)

1099 MOVEMENT OF FEMALE WHITE-TAILED DEER: EFFECTS OF CLIMATE AND INTENSIVE ROW-CROP AGRICULTURE in intensively (>80%) cultivated areas. From January 2001 to August 2002, we monitored movements of 77 (61 adult of seasonal migration, whereas crop emergence and harvest had minimal effects. Four deer (8%) dispersed a mean

206

Microsoft Word - CX-Rattlesnake-Garrison_ROW_Marking_06June2013  

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

6, 2013 6, 2013 REPLY TO ATTN OF: KEC-4 SUBJECT: Environmental Clearance Memorandum P. Hastings Project Manager - TERM-TPP-4 Proposed Action: Rattlesnake-Garrison Right-of-Way Marking Project Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B1.3 Routine Maintenance Location: Missoula County, Montana Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA proposes to survey and mark the Rattlesnake- Garrison transmission line right-of-way (ROW) boundary in Missoula County, Montana. The installation of signs to mark BPA's ROW would prevent encroachment from homeowners and developers, ensure the safety of nearby residents, and allow for the continued safe maintenance and operation of BPA's transmission lines.

207

Experiment and analysis of instability of tube rows subject to liquid crossflow. [LMFBR  

SciTech Connect

A tube array subjected to crossflow may become unstable by either one or both of the two basic mechanisms: velocity mechanism and displacement mechanism. The significance of these two mechanisms depends on the mass-damping parameter. The velocity mechanism is dominant for tube arrays with a low mass-damping parameter, and the displacement mechanism is dominant for tube arrays with a high mass-damping parameter. This report presents an experimental and analytical investigation of tube rows in liquid crossflow. The main objective is to verify a mathematical model and the transition between the two mechanisms at the intermediate values of mass-damping parameter. Tests of two tube rows are conducted to determine the critical flow velocity as a function of system damping. Experimental and analytical results are found to be in good agreement.

Chen, S.S.; Jendrzejczyk, J.A.

1981-09-01T23:59:59.000Z

208

Effect of plant density and row width on leaf area and yield of grain sorghum  

E-Print Network (OSTI)

of probability based on residual using Duncan's multiple range test. + Data was taken on 101. 6 cm. -wide rows only. LAI = LAH ~ 10, 000 m 2 29 3750 A A399 x Tx2536 B ATx318 x Tx2536 3600 3450 3300 eI 3150 4R 3000 2850 B A 2700 2550 2400 61... of probability based on residual using Duncan's multiple range test. + Data was taken on 101. 6 cm. -wide rows only. LAI = LAH ~ 10, 000 m 2 29 3750 A A399 x Tx2536 B ATx318 x Tx2536 3600 3450 3300 eI 3150 4R 3000 2850 B A 2700 2550 2400 61...

Duncan, Ronny R

2012-06-07T23:59:59.000Z

209

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2006;" 6 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

210

" Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"  

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

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006;" 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy",,"Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

211

Safety Functions and Other Features of Remotely Operated Weapon Systems (ROWS)  

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

DOE-STD-1047-2008 DOE-STD-1047-2008 August 2008 DOE STANDARD Safety Functions and Other Features of Remotely Operated Weapon Systems (ROWS) U.S. Department of Energy AREA SAFT Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. NOT MEASUREMENT SENSITIVE DOE-STD-1047-2008 TABLE OF CONTENTS FOREWORD ....................................................................................................................... i 1. SCOPE AND PURPOSE .........................................................................................1 2. APPLICABILITY ....................................................................................................1 3. NORMATIVE REFERENCES................................................................................2

212

" Level: National Data;" " Row: NAICS Codes;"  

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

11 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006;" 11 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Coal(b)",,,"Alternative Energy Sources(c)" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","LPG","Other(f)"

213

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2010;" 5 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

214

" Level: National Data;" " Row: NAICS Codes;"  

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

7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; " 7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; " " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Electricity Receipts(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Natural","Distillate","Residual",,,"and" "Code(a)","Subsector and Industry","Receipts(d)","Switchable","Switchable","Gas","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(e)"," "

215

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2010;" 6 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

216

" Level: National Data;" " Row: NAICS Codes;"  

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

2 Reasons that Made Coal Unswitchable, 2006;" 2 Reasons that Made Coal Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million short tons." ,,,,"Reasons that Made Coal Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable ",,"Long-Term","Unavailable",,"Combinations of " "NAICS"," ","Coal Consumed ","Unswitchable","Capable of Using","Adversely Affects ","Alternative","Environmental","Contract ","Storage for ","Another","Columns F, G, "

217

More Than Child's Play How to Get N in a Row  

E-Print Network (OSTI)

More Than Child's Play How to Get N in a Row Games with Animals Hypercube Tic-Tac-Toe How to Win at Tic-Tac-Toe Norm Do Undoubtably, one of the most popular pencil and paper games in the world is tic tic-tac-toe), discover why snaky is so shaky, and see the amazing tic-tac-toe playing chicken! March

Do, Norman

218

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2006;" 5 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

219

File:Guidelines-for-leasing-row-tracts.pdf | Open Energy Information  

Open Energy Info (EERE)

Guidelines-for-leasing-row-tracts.pdf Guidelines-for-leasing-row-tracts.pdf Jump to: navigation, search File File history File usage Metadata File:Guidelines-for-leasing-row-tracts.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 23 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:06, 13 June 2013 Thumbnail for version as of 15:06, 13 June 2013 1,275 × 1,650, 2 pages (23 KB) Apalazzo (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file.

220

File:03AKBRightOfWaysROWs.pdf | Open Energy Information  

Open Energy Info (EERE)

AKBRightOfWaysROWs.pdf AKBRightOfWaysROWs.pdf Jump to: navigation, search File File history File usage Metadata File:03AKBRightOfWaysROWs.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 38 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:00, 3 July 2013 Thumbnail for version as of 12:00, 3 July 2013 1,275 × 1,650 (38 KB) Alevine (Talk | contribs) 09:55, 18 October 2012 Thumbnail for version as of 09:55, 18 October 2012 1,275 × 1,650 (53 KB) Jnorris (Talk | contribs) 10:36, 6 August 2012 Thumbnail for version as of 10:36, 6 August 2012 1,275 × 1,650 (34 KB) Jnorris (Talk | contribs)

Note: This page contains sample records for the topic "row factors single-family" 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

File:03CAAStateLandLeasingProcessAndLandAccessROWs.pdf | Open Energy  

Open Energy Info (EERE)

CAAStateLandLeasingProcessAndLandAccessROWs.pdf CAAStateLandLeasingProcessAndLandAccessROWs.pdf Jump to: navigation, search File File history File usage File:03CAAStateLandLeasingProcessAndLandAccessROWs.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 75 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 16:03, 29 November 2012 Thumbnail for version as of 16:03, 29 November 2012 1,275 × 1,650 (75 KB) Jnorris (Talk | contribs) 12:06, 12 September 2012 Thumbnail for version as of 12:06, 12 September 2012 1,275 × 1,650 (82 KB) Djenne (Talk | contribs) 15:45, 26 June 2012 Thumbnail for version as of 15:45, 26 June 2012 1,275 × 1,650 (75 KB) Jnorris (Talk | contribs) June 26th version

222

File:App Misc Easement ROW.pdf | Open Energy Information  

Open Energy Info (EERE)

App Misc Easement ROW.pdf App Misc Easement ROW.pdf Jump to: navigation, search File File history File usage Metadata File:App Misc Easement ROW.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 3 4 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 1.54 MB, MIME type: application/pdf, 4 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 09:36, 20 June 2013 Thumbnail for version as of 09:36, 20 June 2013 1,275 × 1,650, 4 pages (1.54 MB) Apalazzo (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file.

223

DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree  

SciTech Connect

Itemset mining has recently focused on discovery of frequent itemsets from high-dimensional datasets with relatively few rows and a larger number of items. With exponentially in-creasing running time as average row length increases, mining such datasets renders most conventional algorithms impracti-cal. Unfortunately, large cardinality closed itemsets are likely to be more informative than small cardinality closed itemsets in this type of dataset. This paper proposes an approach, called DisClose, to extract large cardinality (colossal) closed itemsets from high-dimensional datasets. The approach relies on a memory-efficient Compact Row-Tree data structure to represent itemsets during the search process. The search strategy explores the transposed representation of the dataset. Large cardinality itemsets are enumerated first followed by smaller ones. In addition, we utilize a minimum cardinality threshold to further reduce the search space. Experimental result shows that DisClose can complete the extraction of colossal closed itemsets in the considered dataset, even for low support thresholds. The algorithm immediately discovers closed itemsets without needing to check if each new closed itemset has previously been found.

Zulkurnain, Nurul F.; Keane, John A.; Haglin, David J.

2013-02-01T23:59:59.000Z

224

File:03HIEConstructionUponAStateHighwayROW.pdf | Open Energy Information  

Open Energy Info (EERE)

HIEConstructionUponAStateHighwayROW.pdf HIEConstructionUponAStateHighwayROW.pdf Jump to: navigation, search File File history File usage File:03HIEConstructionUponAStateHighwayROW.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 42 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 13:02, 23 October 2012 Thumbnail for version as of 13:02, 23 October 2012 1,275 × 1,650 (42 KB) Dklein2012 (Talk | contribs) 14:00, 24 July 2012 Thumbnail for version as of 14:00, 24 July 2012 1,275 × 1,650 (35 KB) Alevine (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup

225

untitled  

Annual Energy Outlook 2012 (EIA)

Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.5 2.2 Total...

226

" 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"

227

Effect of tillage systems, row configuration-spacing and plant population on soil physical properties, evapotranspiration and dryland sorghum yields  

E-Print Network (OSTI)

University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE December 1981 Major Subject: Soil Science EFFECT OF TILLAGE SYSTEMS, ROW CONFIGURATION-SPACING AND PLANT POPULATION ON SOIL PHYSICAL PROPERTIES& EVAPOTRANSPIRATION... AND DRYLAND SORGHUM YIELDS A Thesis by JAIME ROEL SALINAS-GARCIA Approved as to style and content by: (Co-Chairman of Committ. ee) ( o-Chairman of Committee) (Member) (Head of Department) December 1981 ABSTRACT Effect of Tillage Systems, Row...

Salinas-Garcia, Jaime Roel

2012-06-07T23:59:59.000Z

228

Influence of row spacing, population density and irrigation on phenology, yield and fiber properties of three upland cotton varieties  

E-Print Network (OSTI)

INFLUENCE OF ROW SPACING, POPULATION DENSITY AND IRRIGATION ON PHENOLOGY, YIELD AND FIBER PROPERTIES OF THREE UPLAND COTTON VARIETIES A Thesis by WILLIAM DAVID HAMILTON Submitted to the Graduate College of Texas ASM University in partial... fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1982 Major Subject: Agronomy INFLUENCE OF ROW SPACING, POPULATION DENSITY AND IRRIGATION ON PHENOLOGY, YIELD AND FIBER PROPERTIES OF THREE UPLAND COTTON VARIETIES A Thesis...

Hamilton, William David

2012-06-07T23:59:59.000Z

229

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006;" 3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","Coal","Breeze","Other(f)"

230

" Row: NAICS Codes; Column: Energy-Consumption Ratios;"  

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

1 Consumption Ratios of Fuel, 2006;" 1 Consumption Ratios of Fuel, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" 311,"Food",879.8,5,2.2 3112," Grain and Oilseed Milling",6416.6,17.5,5.7

231

Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;  

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

Table 7.1 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Furnace Coke Oven (excluding or LPG and Natural Gas

232

Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;  

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

Next MECS will be conducted in 2010 Table 7.2 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Furnace

233

" Row: General Energy-Management Activities within NAICS Codes;"  

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

1 Number of Establishments by Participation in General Energy-Management Activities, 2006;" 1 Number of Establishments by Participation in General Energy-Management Activities, 2006;" " Level: National Data; " " Row: General Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Assistance;" " Unit: Establishment Counts." ,,,," Source of Assistance" "NAICS Code(a)","Energy-Management Activity","No Participation","Participation(b)","In-house","Utlity/Energy Suppler","Product/Service Provider","Federal Program","State/Local Program","Don't Know" ,,"Total United States"

234

" Level: National Data;" " Row: NAICS Codes;"  

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

5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006;" 5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Residual Fuel Oil(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)"

235

" Level: National Data;" " Row: NAICS Codes;"  

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

4 Reasons that Made Distillate Fuel Oil Unswitchable, 2006;" 4 Reasons that Made Distillate Fuel Oil Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million barrels." ,,,,"Reasons that Made Distillate Fuel Oil Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable ",,"Long-Term","Unavailable",,"Combinations of " "NAICS"," ","Distillate Fuel Oil","Unswitchable Distillate","Capable of Using","Adversely Affects ","Alternative","Environmental","Contract ","Storage for ","Another","Columns F, G, "

236

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006;" 3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Natural Gas(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Distillate","Residual",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(f)"

237

" Level: National Data;" " Row: NAICS Codes;"  

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

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006;" 9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Residual",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)"

238

Data Sharing Report Characterization of Isotope Row Facilities Oak Ridge National Laboratory Oak Ridge TN  

SciTech Connect

The U.S. Department of Energy (DOE) Oak Ridge Office of Environmental Management (EM-OR) requested that Oak Ridge Associated Universities (ORAU), working under the Oak Ridge Institute for Science and Education (ORISE) contract, provide technical and independent waste management planning support using funds provided by the American Recovery and Reinvestment Act (ARRA). Specifically, DOE EM-OR requested ORAU to plan and implement a survey approach, focused on characterizing the Isotope Row Facilities located at the Oak Ridge National Laboratory (ORNL) for future determination of an appropriate disposition pathway for building debris and systems, should the buildings be demolished. The characterization effort was designed to identify and quantify radiological and chemical contamination associated with building structures and process systems. The Isotope Row Facilities discussed in this report include Bldgs. 3030, 3031, 3032, 3033, 3033A, 3034, 3036, 3093, and 3118, and are located in the northeast quadrant of the main ORNL campus area, between Hillside and Central Avenues. Construction of the isotope production facilities was initiated in the late 1940s, with the exception of Bldgs. 3033A and 3118, which were enclosed in the early 1960s. The Isotope Row facilities were intended for the purpose of light industrial use for the processing, assemblage, and storage of radionuclides used for a variety of applications (ORNL 1952 and ORAU 2013). The Isotope Row Facilities provided laboratory and support services as part of the Isotopes Production and Distribution Program until 1989 when DOE mandated their shutdown (ORNL 1990). These facilities performed diverse research and developmental experiments in support of isotopes production. As a result of the many years of operations, various projects, and final cessation of operations, production was followed by inclusion into the surveillance and maintenance (S&M) project for eventual decontamination and decommissioning (D&D). The process for D&D and final dismantlement of facilities requires that the known contaminants of concern (COCs) be evaluated and quantified and to identify and quantify any additional contaminants in order to satisfy the waste acceptance criteria requirements for the desired disposal pathway. Known facility contaminants include, but are not limited to, asbestos-containing material (ACM), radiological contaminants, and chemical contaminants including polychlorinated biphenyls (PCBs) and metals.

Weaver, Phyllis C

2013-12-12T23:59:59.000Z

239

Effects of plant density and row spacing on the ratooning of sorghum (Sorghum bicolor (L.) Moench)  

E-Print Network (OSTI)

effect on percent of plants surviving 4 weeks after cutting at College Station. . 105 62. 64 65. Effect of row spacing on percent of surviving plants of ATx378 x TAM428 and ATx378 x Tx2536 at College Station, 4 weeks after cutting . . . . 106... TAM428 and ATx378 x Tx2536 4 weeks after cutting . . . . 110 Number of reporductive tillers per unit area in the ratoon at College Station Effect of population on number of reproductive tillers in the ratoon for the combined loca- t. 1ons . 111...

Priwin A., Ricardo A

2012-06-07T23:59:59.000Z

240

Influence of row spacing on performance of short-season cotton genotypes  

E-Print Network (OSTI)

. Hand har- vests were made at 121, 137, and 174 days after planting (DAP) on 1 Mention of commercial products or trade names is for identifica- tion only and does not imply endorsement by the author or Texas A&M University. 15 3-m row sections.../ha. Percentage maturity was determined at 121 ard 137 days after planting. At each date, differences among spacing treatments were non-significant. Genotype differences were significant at both dates; at 121 DAP, the long-season check variety (genotype 10...

Abreu, Jose?

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "row factors single-family" 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

Determination of the Number of Tube Rows to Obtain Closure for Volume Averaging Theory Based Model of Fin-and-Tube Heat Exchangers  

E-Print Network (OSTI)

Fig. 3 Journal of Heat Transfer Grid system for 2-row caseDomain and Grid System. Since the fin-and- tube heat

Zhou, Feng; Hansen, Nicholas E; Geb, David J; Catton, Ivan

2011-01-01T23:59:59.000Z

242

GRR/Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW | Open  

Open Energy Info (EERE)

GRR/Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW GRR/Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW 03AKGUtilityPermitToConstructOnADOTROW (1).pdf Click to View Fullscreen Contact Agencies Alaska Department of Transportation and Public Facilities U S Army Corps of Engineers United States Coast Guard Bureau of Indian Affairs Bureau of Land Management Federal Aviation Administration Alaska Department of Natural Resources Regulations & Policies 11 AAC 195.010: Anadromous Fish 17 AAC 15.021: Application for Utility Permit Triggers None specified Click "Edit With Form" above to add content 03AKGUtilityPermitToConstructOnADOTROW (1).pdf

243

The formation of double-row oxide stripes during the initial oxidation of NiAl(100)  

SciTech Connect

The initial growth of ultrathin aluminum oxide film during the oxidation of NiAl(100) was studied with scanning tunneling microscopy. Our observations reveal that the oxide film grows initially as pairs of a double-row stripe structure with a lateral size equal to the unit cell of ?-Al{sub 2}O{sub 3}. These double-row stripes serve as the very basic stable building units of the ordered oxide phase for growing thicker bulk-oxide-like thin films. It is shown that the electronic properties of these ultrathin double-row stripes do not differ significantly from that of the clean NiAl surface; however, the thicker oxide stripes show a decreased conductivity.

Qin, Hailang; Zhou, Guangwen [Department of Mechanical Engineering and Multidisciplinary Program in Materials Science and Engineering, State University of New York, Binghamton, New York 13902 (United States)] [Department of Mechanical Engineering and Multidisciplinary Program in Materials Science and Engineering, State University of New York, Binghamton, New York 13902 (United States)

2013-08-28T23:59:59.000Z

244

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

6 End Uses of Fuel Consumption, 2006; 6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487 32 345 -- Process Cooling and Refrigeration -- 206 * 1 32 * * -- Machine Drive

245

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

2 End Uses of Fuel Consumption, 2006; 2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel -- 41 133 23 2,119 8 547 -- Conventional Boiler Use -- 41 71 17 1,281 8 129 -- CHP and/or Cogeneration Process -- -- 62 6 838 1 417 -- Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487

246

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

247

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

1 End Uses of Fuel Consumption, 2006; 1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use -- 12,109 11 3 1,245 2 6 -- CHP and/or Cogeneration Process

248

Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios;  

Gasoline and Diesel Fuel Update (EIA)

Next MECS will be fielded in 2015 Table 6.1 Consumption Ratios of Fuel, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 871.7 4.3 1.8 3112 Grain and Oilseed Milling 6,239.5 10.5 3.6 311221 Wet Corn Milling 28,965.0 27.1 12.6 31131 Sugar Manufacturing 7,755.9 32.6 13.4 3114 Fruit and Vegetable Preserving and Specialty Foods 861.3 4.8 2.2 3115 Dairy Products 854.8 3.5 1.1 3116 Animal Slaughtering and Processing 442.9 3.5 1.2 312

249

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

7 End Uses of Fuel Consumption, 2006; 7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process 773,574 10 9 2,709 10 19 Process Heating

250

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

5 End Uses of Fuel Consumption, 2006; 5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use 12,109 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process

251

Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 11.5 Electricity: Sales to Utility and Nonutility Purchasers, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of NAICS Sales and Utility Nonutility Code(a) Subsector and Industry Transfers Offsite Purchaser(b) Purchaser(c) Total United States 311 Food 111 86 25 3112 Grain and Oilseed Milling 72 51 21 311221 Wet Corn Milling 55 42 13 31131 Sugar Manufacturing 7 3 4 3114 Fruit and Vegetable Preserving and Specialty Foods 13 13 0 3115 Dairy Products 0 0 0 3116 Animal Slaughtering and Processing 0 0 0 312 Beverage and Tobacco Products * * 0 3121 Beverages

252

Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components;  

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

3 Electricity: Components of Onsite Generation, 2006; 3 Electricity: Components of Onsite Generation, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood NAICS Total Onsite and Code(a) Subsector and Industry Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States 311 Food 4,563 4,249 * 313 3112 Grain and Oilseed Milling 2,845 2,819 0 27 311221 Wet Corn Milling 2,396 2,370 0 27 31131 Sugar Manufacturing 951 951 0 * 3114 Fruit and Vegetable Preserving and Specialty Foods 268 268 0 * 3115 Dairy Products 44 31 * Q 3116 Animal Slaughtering and Processing 17 0 0 17 312 Beverage and Tobacco Products 659 623 Q * 3121 Beverages 587 551 Q * 3122 Tobacco 72

253

EU, Japan call for dialogue amid row on breakthrough nuclear project The European Union and Japan each called Wednesday for dialogue among the six partners on  

E-Print Network (OSTI)

EU, Japan call for dialogue amid row on breakthrough nuclear project 01/12/2004 The European Union and Japan each called Wednesday for dialogue among the six partners on a multibillion-dollar nuclear energy project amid a deepening row over whether Japan or France will host the site. The EU, whose bid is backed

254

Author's personal copy Variable field-of-view machine vision based row guidance of an agricultural robot  

E-Print Network (OSTI)

robot Jinlin Xue a , Lei Zhang b , Tony E. Grift b, a College of Engineering, Nanjing Agricultural guidance Autonomous guidance Agricultural robot Fuzzy logic control a b s t r a c t A novel variable field-of-view machine vision method was developed allowing an agricultural robot to navigate between rows in cornfields

255

Forelimb muscle function in pig-nosed turtles, Carettochelys insculpta: testing neuromotor conservation between rowing and flapping in swimming turtles  

Science Journals Connector (OSTI)

...In swimming turtles, propulsion is generated exclusively...hindlimbs, whereas all marine turtles (seven species...rowing and flapping propulsion in fishes. Integr...comparison of the swimming of marine and freshwater turtles...SD . 1987 Foreflipper propulsion in the California sea...

2013-01-01T23:59:59.000Z

256

Jeffrey R. Row Environment and Resource Studies, University of Waterloo, Waterloo, Ontario, Canada, N2L 3G1  

E-Print Network (OSTI)

, N2L 3G1 Website: http://jeffrow.ca · Email: jeff.row@me.com · Phone: 1-416-399-3066 1 Education 2006 and population structure of foxsnakes across spatial and temporal scales. 2003-2005 M.Sc. Biology, University (Lampropeltis triangulum). 1997-2001 B.Sc. Environmental Biology, Queen's University, Kingston, Ontario. 2

Row, Jeffrey R.

257

Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 6.1 Consumption Ratios of Fuel, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 879.8 5.0 2.2 3112 Grain and Oilseed Milling 6,416.6 17.5 5.7 311221 Wet Corn Milling 21,552.1 43.6 18.2 31131 Sugar Manufacturing 6,629.2 31.3 12.2 3114 Fruit and Vegetable Preserving and Specialty Foods 1,075.3 5.5 2.8 3115 Dairy Products 956.3 4.3 1.3 3116 Animal Slaughtering and Processing 493.8 4.4 1.6 312

258

Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components;  

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

1.1 Electricity: Components of Net Demand, 2006; 1.1 Electricity: Components of Net Demand, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 73,242 309 4,563 111 78,003 3112 Grain and Oilseed Milling 15,283 253 2,845 72 18,310 311221 Wet Corn Milling 6,753 48 2,396 55 9,142 31131 Sugar Manufacturing 920 54 951 7 1,919 3114 Fruit and Vegetable Preserving and Specialty Foo 9,720 1 268 13 9,976 3115 Dairy Products 10,079 0 44 0 10,123 3116 Animal Slaughtering and Processing 17,545 0 17 0 17,562 312 Beverage and Tobacco Products

259

Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources  

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

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006; 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,109 326 1,462 11,395 2,920 67 13 1,149 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 144 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 17 31131 Sugar Manufacturing 78 78 11 43 61 35 26 13 35 3114 Fruit and Vegetable Preserving and Specialty Food 1,125 1,125 13 112 961 325 W 0 127 3115 Dairy Product 1,044 1,044 25 88 941 147 W 0 95

260

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes  

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

1.3 First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; 1.3 First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes Column: Energy Sources and Shipments; Unit: Trillion Btu. Shipments Economic Net Residual Distillate LPG and Coke and of Energy Sources Characteristic(a) Total(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,166 367 23 48 540 15 41 3 140 12 20-49 1,209 333 20 26 550 8 104 5 182 20 50-99 1,507 349 51 19 575 98 190 9 256 40 100-249 2,651 607 53 20 1,091 23 310 53 566 73 250-499 2,362 413 52 13 754 158 247 9 732 16 500 and Over

Note: This page contains sample records for the topic "row factors single-family" 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

Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments;  

Gasoline and Diesel Fuel Update (EIA)

1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; 1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 13,269 13,265 151 2,494 10,376 4,061 64 7 1,668 W 3112 Grain and Oilseed Milling 602 602 9 201 490 286 30 0 165 W 311221 Wet Corn Milling 59 59 W 26 50 36 15 0 29 0 31131 Sugar Manufacturing 73 73 3 36 67 13 11 7 15 0 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987

262

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

6 Electricity: Sales to Utility and Nonutility Purchasers, 2006; 6 Electricity: Sales to Utility and Nonutility Purchasers, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of Economic Sales and Utility Nonutility Characteristic(a) Transfers Offsite Purchaser(b) Purchaser(c) Total United States Value of Shipments and Receipts (million dollars) Under 20 28 28 0 20-49 307 227 80 50-99 2,218 1,673 545 100-249 2,647 1,437 1,210 250-499 3,736 2,271 1,464 500 and Over 10,814 5,665 5,149 Total 19,750 11,301 8,449 Employment Size Under 50 516 230 287 50-99 1,193 1,180 13 100-249 3,825 3,231 594 250-499 3,796 2,675 1,120 500-999 4,311 1,921 2,390

263

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

4 Electricity: Components of Onsite Generation, 2006; 4 Electricity: Components of Onsite Generation, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood Economic Total Onsite and Characteristic(a) Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,447 450 Q Q 20-49 5,220 5,106 29 Q 50-99 3,784 3,579 29 Q 100-249 17,821 17,115 484 222 250-499 28,464 27,202 334 927 500 and Over 86,249 85,028 106 1,114 Total 142,986 138,480 1,030 3,476 Employment Size Under 50 2,193 1,177 Q Q 50-99 6,617 6,438 13 166 100-249 12,403 12,039 266 98 250-499

264

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

265

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

266

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes  

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

2.3 Nonfuel (Feedstock) Use of Combustible Energy, 2006; 2.3 Nonfuel (Feedstock) Use of Combustible Energy, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes Column: Energy Sources Unit: Trillion Btu Economic Residual Distillate LPG and Coke and Characteristic(a) Total Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal Breeze Other(e) Total United States Value of Shipments and Receipts (million dollars) Under 20 47 0 3 5 Q 20 1 17 20-49 112 7 Q 20 1 12 1 64 50-99 247 29 Q 26 88 33 * 68 100-249 313 28 1 97 12 48 43 85 250-499 297 * * 121 154 3 5 13 500 and Over 2,547 * * 130 2,043 301 6 66 Not Ascertained (f) 3,399 0 0 0 0 0 0 3,399 Total 6,962 64 17 398 2,299 417 56 3,711 Employment Size Under 50 161 4 Q 48 15 19 0 64 50-99 390 41 1 97 145 27 1 77 100-249

267

Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments  

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

1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; 1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 14,128 14,113 326 1,475 11,399 2,947 67 15 1,210 W 3112 Grain and Oilseed Milling 580 580 15 183 449 269 35 0 148 W 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 18 0 31131 Sugar Manufacturing 78 78 11 45 61 35 26 15 45 0 3114 Fruit and Vegetable Preserving and Specialty Food 1,125

268

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

3.3 Fuel Consumption, 2006; 3.3 Fuel Consumption, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,139 367 23 45 535 14 21 3 131 20-49 1,122 333 13 19 530 8 93 5 122 50-99 1,309 349 22 17 549 10 157 8 197 100-249 2,443 607 25 19 994 11 263 10 512 250-499 2,092 413 53 13 633 4 244 3 730 500 and Over 7,551 781 115 17 2,271 31 240 344 3,752 Total 15,657 2,851 251 129 5,512 79 1,016 374 5,445 Employment Size Under 50 1,103 334 10 45 550 10

269

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

2 Consumption Ratios of Fuel, 2006; 2 Consumption Ratios of Fuel, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value Economic per Employee of Value Added of Shipments Characteristic(a) (million Btu) (thousand Btu) (thousand Btu) Total United States Value of Shipments and Receipts (million dollars) Under 20 330.6 3.6 2.0 20-49 550.0 4.5 2.2 50-99 830.1 5.9 2.7 100-249 1,130.0 6.7 3.1 250-499 1,961.4 7.6 3.6 500 and Over 3,861.9 9.0 3.6 Total 1,278.4 6.9 3.1 Employment Size Under 50 562.6 4.7 2.4 50-99 673.1 5.1 2.4 100-249 1,072.8 6.5 3.0 250-499 1,564.3 7.7 3.6 500-999 2,328.9

270

Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching  

DOE Patents (OSTI)

A stabilization and propulsion system are disclosed comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the superconducting magnets on the vehicle. 12 figs.

He, J.; Rote, D.M.

1996-05-21T23:59:59.000Z

271

" 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"

272

" Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"  

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

8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" 8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Establishment Counts." ,,,"Electricity","Components",,,"Natural","Gas","Components",,"Steam","Components" ,,,,"Electricity","Electricity",,,"Natural Gas","Natural Gas",,,"Steam","Steam" " "," ",,,"from Only","from Both",,,"from Only","from Both",,,"from Only","from Both"," ",," "

273

Microsoft PowerPoint - 6_Rowe-Future Challenges for Global Fuel Cycle Material Accounting Final_Updated.pptx  

National Nuclear Security Administration (NNSA)

Future Challenges Future Challenges for Global Fuel Cycle Material Accounting Nathan Rowe Chris Pickett Oak Ridge National Laboratory Nuclear Materials Management & Safeguards System Users Annual Training Meeting May 20-23, 2013 St. Louis, Missouri 2 Future Challenges for Global Fuel Cycle Material Accounting Introduction * Changing Nuclear Fuel Cycle Activities * Nuclear Security Challenges * How to Respond? - Additional Protocol - State-Level Concept - Continuity of Knowledge * Conclusion 3 Future Challenges for Global Fuel Cycle Material Accounting Nuclear Fuel Cycle Source: International Atomic Energy Agency (IAEA), Nuclear Fuel Cycle Information System (NFCIS) web site IAEA Safeguards Begins Here 4 Future Challenges for Global Fuel Cycle Material Accounting Nuclear Weapons Cycle Conversion

274

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

most non-Weatherization Assistance Program (WAP) energythe federal Weatherization Assistance Program may have thefrom the Weatherization Assistance Program (WAP) due to the

Zimring, Mark

2014-01-01T23:59:59.000Z

275

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

NASCSP). 2009. Weatherization Assistance Program Fundingof Energy’s Weatherization Assistance Program with State-2009. National Weatherization Assistance Program Training

Zimring, Mark

2012-01-01T23:59:59.000Z

276

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

Neighborhood Program GETS – Green Energy Training ServicesGJGEI – Green Jobs, Green Energy Initiative CEWO – Cleanincome households. The Green Energy Training Services (GETS)

Zimring, Mark

2012-01-01T23:59:59.000Z

277

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

the residential energy efficiency market is a potentialinstitutions (CDFIs) to market energy improvements. Solve aapproach to energy efficiency market development is

Zimring, Mark

2012-01-01T23:59:59.000Z

278

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

the residential energy efficiency market is a potentialinstitutions (CDFIs) to market energy improvements. Solve acan open significant markets for energy improvements among

Zimring, Mark

2014-01-01T23:59:59.000Z

279

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

rentalhousing/Energy_Efficiency_Project/COB_rebates_8.2.11.PDS/rentalhousing/Energy_Efficiency_Project/SmartRegs_Final_s residential energy efficiency loan program November 2010-

Zimring, Mark

2012-01-01T23:59:59.000Z

280

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

energy assessments, title searches, and lien recordings. Theassessments, title searches, and lien recordings. Once INHP

Zimring, Mark

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "row factors single-family" 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

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

Clean Energy Works Oregon Bill Payment History as a ProxyEnergy and Clean Energy Works Oregon (CEWO), also use utility bill repayment history

Zimring, Mark

2012-01-01T23:59:59.000Z

282

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

and Renewable Energy (DOE EERE), Weatherization andand Roya Stanley (DOE EERE) for their support of thisfor Humanity International DOE EERE – Department of Energy

Zimring, Mark

2012-01-01T23:59:59.000Z

283

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

Vermont Energy Investment Corporation NYSERDA – New Yorkfor a case study on New York’s energy efficiency programNew York, the New York State Energy Research and Development

Zimring, Mark

2012-01-01T23:59:59.000Z

284

Modeling contaminant exposure in a single-family house  

E-Print Network (OSTI)

New, stricter building codes for energy conservation mandates tighter building construction, which directly reduces the amount of available fresh air from infiltration. This decrease in fresh air is a subject of intensive ...

Huang, Jeffrey M., 1977-

2001-01-01T23:59:59.000Z

285

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

Energy Efficiency Programs“. March 17, 2011. Available here:Efficiency Programs. ” March 17, 2011. Available here:

Zimring, Mark

2012-01-01T23:59:59.000Z

286

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network (OSTI)

system CFL – Compact Fluorescent Light Bulb IAQ – Indoor Airdiscount compact fluorescent light bulbs (CFLs) or providediscount compact fluorescent light bulbs (CFLs) or provide

Zimring, Mark

2012-01-01T23:59:59.000Z

287

Factors Affecting the Performance of Mechanical Cotton Harvesters (Stripper Type), Extractors and Cleaners.  

E-Print Network (OSTI)

TEXAS AGRICULTURAL EXPERIMENT STATION R. D. LEWIS. DIRECTOR College Station, Texas ULLETIN NO. 686 DECEMBER, 1946 FACTORS AFFECTING THE PERFORMANCE OF MECHANICAL COTTON HARVESTERS (STRIPPER TYPE), EXTRACTORS AND CLEANERS H. P. SMITH, D. T... stripping machines during the past five years. Several concerns are now building two-row tractor mounted machines for the commercial trade. The performance of the stripper type cotton harvester is influenced by a number of factors, Tests to determine...

Jones, D. L. (Don L.); Killough, D. T. (David Thornton); Smith, H. P. (Harris Pearson)

1946-01-01T23:59:59.000Z

288

Patient radiation dose in prospectively gated axial CT coronary angiography and retrospectively gated helical technique with a 320-detector row CT scanner  

SciTech Connect

Purpose: The aim of this study was to evaluate radiation dose to patients undergoing computed tomography coronary angiography (CTCA) for prospectively gated axial (PGA) technique and retrospectively gated helical (RGH) technique. Methods: Radiation doses were measured for a 320-detector row CT scanner (Toshiba Aquilion ONE) using small sized silicon-photodiode dosimeters, which were implanted at various tissue and organ positions within an anthropomorphic phantom for a standard Japanese adult male. Output signals from photodiode dosimeters were read out on a personal computer, from which organ and effective doses were computed according to guidelines published in the International Commission on Radiological Protection Publication 103. Results: Organs that received high doses were breast, followed by lung, esophagus, and liver. Breast doses obtained with PGA technique and a phase window width of 16% at a simulated heart rate of 60 beats per minute were 13 mGy compared to 53 mGy with RGH technique using electrocardiographically dependent dose modulation at the same phase window width as that in PGA technique. Effective doses obtained in this case were 4.7 and 20 mSv for the PGA and RGH techniques, respectively. Conversion factors of dose length product to the effective dose in PGA and RGH were 0.022 and 0.025 mSv mGy{sup -1} cm{sup -1} with a scan length of 140 mm. Conclusions: CTCA performed with PGA technique provided a substantial effective dose reduction, i.e., 70%-76%, compared to RGH technique using the dose modulation at the same phase windows as those in PGA technique. Though radiation doses in CTCA with RGH technique were the same level as, or some higher than, those in conventional coronary angiography (CCA), the use of PGA technique reduced organ and effective doses to levels less than CCA except for breast dose.

Seguchi, Shigenobu; Aoyama, Takahiko; Koyama, Shuji; Fujii, Keisuke; Yamauchi-Kawaura, Chiyo [Graduate School of Medicine, Nagoya University, Daikominami, Higashi-ku, Nagoya 461-8673 (Japan) and Department of Medical Technology, Nagoya Daini Red Cross Hospital, Myouken-chou, Showa-ku, Nagoya 466-8650 (Japan); Graduate School of Medicine, Nagoya University, Daikominami, Higashi-ku, Nagoya 461-8673 (Japan); Section of Radiological Protection, National Institute of Radiological Sciences, Anagawa, Inage-ku, Chiba 263-8555 (Japan); Graduate School of Medicine, Nagoya University, Daikominami, Higashi-ku, Nagoya 461-8673 (Japan)

2010-11-15T23:59:59.000Z

289

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

4 End Uses of Fuel Consumption, 2006; 4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

290

" 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"

291

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3

292

ROW BY ROW METHODS FOR SEMIDEFINITE PROGRAMMING ...  

E-Print Network (OSTI)

Apr 28, 2009 ... form a positive definite m×m matrix M, where m is the number of constraints in ..... partition the vertices of a graph into two sets so that the sum of the ...... were written in C Language MEX-files in MATLAB (Release 7.3.0), and ...

2009-04-28T23:59:59.000Z

293

Selecting Trees and Shrubs in Windbreaks Windbreaks are plantings of single or multiple rows of trees or shrubs that are established for one or more  

E-Print Network (OSTI)

include: wind protection, controlling blowing and drifting snow, wildlife habitat establishment, energy: There are opportunities for cost share and even annual land payments for the land planted to trees as windbreaks, wildlife Protection Crop, Soil Snow Distribution Farmstead, Livestock, Noise Wildlife (10 rows) Air Snow Accumulation

Amin, S. Massoud

294

, 20130345, published 23 June 20143692014Phil. Trans. R. Soc. B Sebastien Renaut, Heather C. Rowe, Mark C. Ungerer and Loren H. Rieseberg  

E-Print Network (OSTI)

, Mark C. Ungerer and Loren H. Rieseberg retrotransposons in hybrid sunflowers transcriptional activity of long terminal repeat Genomics of homoploid hybrid speciation: diversity and Supplementary data ml http.royalsocietypublishing.org Research Cite this article: Renaut S, Rowe HC, Ungerer MC, Rieseberg LH. 2014 Genomics of homoploid hybrid

Rieseberg, Loren

295

Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;  

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

Coke and Shipments Net Residual Distillate Natural LPG and Coal Breeze of Energy Sources NAICS Total(b) Electricity(c) Fuel Oil Fuel Oil(d) Gas(e) NGL(f) (million (million Other(g) Produced Onsite(h) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) (billion cu ft) (million bbl) short tons) short tons) (trillion Btu) (trillion Btu) Total United States RSE Column Factors: 0.9 1 1.2 1.8 1 1.6 0.8 0.9 1.2 0.4 311 Food 1,123 67,521 2 3 567 1 8 * 89 0 311221 Wet Corn Milling 217 6,851 * * 59 * 5 0 11 0 31131 Sugar 112 725 * * 22 * 2 * 46 0 311421 Fruit and Vegetable Canning 47 1,960 * * 35 * 0 0 1 0 312 Beverage and Tobacco Products 105 7,639 * * 45 * 1 0 11 0 3121 Beverages 85 6,426 * * 41 * * 0 10 0 3122 Tobacco 20 1,213 * * 4 * * 0 1 0 313 Textile Mills 207 25,271 1 * 73 * 1 0 15 0 314

296

Douglas Factors  

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

The Merit Systems Protection Board in its landmark decision, Douglas vs. Veterans Administration, 5 MSPR 280, established criteria that supervisors must consider in determining an appropriate penalty to impose for an act of employee misconduct. These twelve factors are commonly referred to as “Douglas Factors” and have been incorporated into the Federal Aviation Administration (FAA) Personnel Management System and various FAA Labor Agreements.

297

" Row: NAICS Codes;"  

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

Establishment","Onsite","per Establishment" "Code(a)","Subsector and Industry","(million sq ft)","(counts)","(sq ft)","(counts)","(counts)" ,,"Total United...

298

Accelerated Gibbs Sampling for Infinite Sparse Factor Analysis  

SciTech Connect

The Indian Buffet Process (IBP) gives a probabilistic model of sparse binary matrices with an unbounded number of columns. This construct can be used, for example, to model a fixed numer of observed data points (rows) associated with an unknown number of latent features (columns). Markov Chain Monte Carlo (MCMC) methods are often used for IBP inference, and in this technical note, we provide a detailed review of the derivations of collapsed and accelerated Gibbs samplers for the linear-Gaussian infinite latent feature model. We also discuss and explain update equations for hyperparameter resampling in a 'full Bayesian' treatment and present a novel slice sampler capable of extending the accelerated Gibbs sampler to the case of infinite sparse factor analysis by allowing the use of real-valued latent features.

Andrzejewski, D M

2011-09-12T23:59:59.000Z

299

Factors Determining the COP of Heat Pumps, and Feasibility Study on its Improvement  

Science Journals Connector (OSTI)

The various heat sources and delivery installations are discussed. It has been found that for heating of single family houses the water/water heat pump is the most feasible.

M. Fordsmand; A. Eggers-Lura

1980-01-01T23:59:59.000Z

300

Assessment of G3(MP2)//B3 theory including a pseudopotential for molecules containing first-, second-, and third-row representative elements  

SciTech Connect

G3(MP2)//B3 theory was modified to incorporate compact effective potential (CEP) pseudopotentials, providing a theoretical alternative referred to as G3(MP2)//B3-CEP for calculations involving first-, second-, and third-row representative elements. The G3/05 test set was used as a standard to evaluate the accuracy of the calculated properties. G3(MP2)//B3-CEP theory was applied to the study of 247 standard enthalpies of formation, 104 ionization energies, 63 electron affinities, 10 proton affinities, and 22 atomization energies, comprising 446 experimental energies. The mean absolute deviations compared with the experimental data for all thermochemical results presented an accuracy of 1.4 kcal mol{sup ?1} for G3(MP2)//B3 and 1.6 kcal mol{sup ?1} for G3(MP2)//B3-CEP. Approximately 75% and 70% of the calculated properties are found with accuracy between ±2 kcal mol{sup ?1} for G3(MP2)//B3 and G3(MP2)//B3-CEP, respectively. Considering a confidence interval of 95%, the results may oscillate between ±4.2 kcal mol{sup ?1} and ±4.6 kcal mol{sup ?1}, respectively. The overall statistical behavior indicates that the calculations using pseudopotential present similar behavior with the all-electron theory. Of equal importance to the accuracy is the CPU time, which was reduced by between 10% and 40%.

Rocha, Carlos Murilo Romero; Morgon, Nelson Henrique; Custodio, Rogério, E-mail: roger@iqm.unicamp.br [Instituto de Química, Universidade Estadual de Campinas, Barão Geraldo, P.O. Box 6154, 13083-970 Campinas, São Paulo (Brazil)] [Instituto de Química, Universidade Estadual de Campinas, Barão Geraldo, P.O. Box 6154, 13083-970 Campinas, São Paulo (Brazil); Pereira, Douglas Henrique [Instituto de Química, Universidade Estadual de Campinas, Barão Geraldo, P.O. Box 6154, 13083-970 Campinas, São Paulo (Brazil) [Instituto de Química, Universidade Estadual de Campinas, Barão Geraldo, P.O. Box 6154, 13083-970 Campinas, São Paulo (Brazil); Departamento de Ciências Exatas e Biotecnológicas, Universidade Federal do Tocantins, Campus de Gurupi, 77410-530 Gurupi, Tocantins (Brazil)

2013-11-14T23:59:59.000Z

Note: This page contains sample records for the topic "row factors single-family" 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

Power Factor Compensation (PFC) Power Factor Compensation  

E-Print Network (OSTI)

Power Factor Compensation (PFC) Power Factor Compensation The power factor (PF) is defined as the ratio between the active power and the apparent power of a system. If the current and voltage are periodic with period , and [ ), then the active power is defined by ( ) ( ) (their inner product

Knobloch,Jürgen

302

Building America Top Innovations 2013 Profile Â… Zero Energy-Ready Single-Family Homes  

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

to purchase and install. to purchase and install. Much of Building America's research is aimed directly at the goal of constructing high-performance homes and many of the Building America research teams have been directly involved with builders who are constructing zero energy or zero energy-ready homes. Here are just a few examples. The Consortium for Advanced Residential Buildings, operated by Steven Winter Associates, worked with Preferred Builders, Inc., on a high-performance test home in Old Greenwich, CT. Technologies and strategies used in the "Performance House" were not cutting-edge, but simply "best practices practiced." Closed-cell spray foam insulated the unvented attic and the interior of the foundation wall and wrapped the underside and sides of the slab while 1.5 inches of rigid foam sheathing covered the

303

Energy Savings Resulting from Shading Devices on Single-Family Residences in Austin, Texas  

E-Print Network (OSTI)

windows) and exterior (solar screens, awnings, overhangs, and the effects of recessed windows and vegetation) shading devices. The analysis was conducted with the DOE-2 building energy analysis computer program. Nominal baseline cases (single glazing, gas...

Pletzer, R. K.; Jones, J. W.; Hunn, B. D.

1987-01-01T23:59:59.000Z

304

Passive-solar-heating project for a single-family residence. Final report  

SciTech Connect

This project was a passive home heating system utilizing solar collectors that are part of the roof structure of a 15' x 30' greenhouse. The design utilized solar air collectors constructed on site that are actually part of the roof of the greenhouse. The flow of air is from the storage to the collectors then back to the storage. The storage bin consists of a 5' x 19' concrete insulated bin built into the floor of the greenhouse. The storage mass was gallon plastic jugs. The plastic jugs did not work properly, so they are being replaced by salt rods. This replacement will be an after the fact project by the owner. The concrete storage bin was insulated with 2'' plastic foam insulation, applied to the 8'' concrete wall. The ducts entering and leaving the storage bin have low voltage (12 volt) electric dampers. A cross flow system was used. The heated air circulates from the collectors to storage via ducts in the walls of the lean-to design. The removal of heat from the storage bin was from end to end via the ducts to the central air system for the house. In addition, the greenhouse is connected to the house with a doorway that can be opened to circulate air into the house, a shuttled exhaust fan 1/3H.P. motor has aided in the circulation of air from the storage bin to the collectors and back.

Starkey, V.J.

1982-05-01T23:59:59.000Z

305

Zero Energy-Ready Single-Family Homes- Building America Top Innovation  

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

Many Building America teams (ARBI, BA-PIRC, BSC, CARB, IBACOS, NorthernSTAR, PHI, etc.) have worked with home builders to design and test zero-energy-ready homes.

306

Building America Top Innovations 2013 Profile – Zero Energy-Ready Single-Family Homes  

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

Many Building America teams (ARBI, BA-PIRC, BSC, CARB, IBACOS, NorthernSTAR, PHI, etc.) have worked with home builders to design and test zero-energy-ready homes.

307

Wind-induced Ground-surface Pressures Around a Single-Family House  

E-Print Network (OSTI)

Computational Fluid Mechanics and Heat Transfer, McGraw-S.V. , Numerical Heat Transfer and Fluid Flow, Hemisphere

Riley, W.J.

2008-01-01T23:59:59.000Z

308

Measurement-Based Evaluation of Installed Filtration System Performance in Single-Family Homes  

E-Print Network (OSTI)

Systems LBNL-XXXX 8. Literature Cited AHAM (2006).ANSI/AHAM Standard AC-1-2006 Method for Measuring theHome Appliance Manufactures (AHAM), using Clean Air Delivery

Chan, Wanyu Rengie

2014-01-01T23:59:59.000Z

309

Solar project description for Arno Kahn/Builders and Laborers Commonwealth single family residence Duluth, Minnesota  

SciTech Connect

The Arno Kahn/Builders and Laborers Commonwealth Site is a house in a Minnesota suburb. It combines a modified direct-gain sun space system with a thermal envelope. The living space is separated from the sun space by a three-story mass wall. Sunlight enters the three-story solarium and heats the mass wall which in turn heats the air. The warm air is then distributed through the thermal envelope. Manually operated shades provide night insulation for the south-facing windows, and roof overhangs and a turbine vent in the solarium roof prevent overheating. Domestic hot water is preheated in four tanks located behind the window of the basement sunroom. The concrete floor in the basement provides part of the heat storage. Wood burning stoves and electric baseboard heaters provide auxiliary heating. Five modes of operation are described: collector-to-storage, collector-to-space heating, storage-to-space heating, solarium cooling and domestic hot water preheating. The instrumentation for the National Solar Data Network is described. The solar energy portion of the construction costs is estimated to be $7000. (LEW)

Moore, D

1982-04-30T23:59:59.000Z

310

Solar project description for living systems single family residence, Davis, California  

SciTech Connect

Two independent systems are described - a direct gain passive solar space heating system and an active domestic hot water preheating system. Large south-facing windows and a clerestory skylight permit direct winter sun to enter the house. Solar energy thermal storage is provided by both water filled tubes and the concrete slab floor. Movable shutters and insulating curtains provide capability to reduce night heat losses. Summer overheat protection is provided by roof overhangs and by natural ventilation. A natural gas furnace and wood stove provide auxiliary space heat. The domestic hot water system has an array of liquid flat plate collector with a gross area of 53 square feet. Freeze protection is by drain-down. An 82-gallon solar preheat tank supplies water to a conventional 20-gallon domestic hot water tank. The collector, storage, heating load, and auxiliary loads subsystems and modes of operation are described for both systems. The house is instrumented for thermal performance evaluation. Original cost estimates for provisioning and installation of the solar system are given. (LEW)

Not Available

1981-08-31T23:59:59.000Z

311

Modeling single family housing recovery after Hurricane Andrew in Miami-Dade County, FL  

E-Print Network (OSTI)

multidimensional phenomenon. For households, recovery involves recovering from psychological stress caused by the event as well as the process of regaining income, employment, household amenities, and household assets (Bates, 1982; Bolin, 1976, 1982, 1993; Bolin..., 1997). In addition, low-income households are less likely to qualify for governmental/private reconstruction programs because of their limited capability to repay (Bolin, 1986; Bolin & Bolton, 1983; Tierney, 1997). Peacock and Girard (1997...

Zhang, Yang

2009-06-02T23:59:59.000Z

312

An assessment of single-family housing prices and residential segregation using GIS in Bryan, Texas  

E-Print Network (OSTI)

tl Q. + G V x 0 t5 K m I/ 8 ig (3 G Q N i=i+ g~ @ ? Ql 1& w ~c V/ gL p ?ll 0 C" I A )Xi (6 27 A comparison of the model results for the school districts revealed a dependence between enrollment levels by race and the estimated... tl Q. + G V x 0 t5 K m I/ 8 ig (3 G Q N i=i+ g~ @ ? Ql 1& w ~c V/ gL p ?ll 0 C" I A )Xi (6 27 A comparison of the model results for the school districts revealed a dependence between enrollment levels by race and the estimated...

Esch, Stephen Alexander

2012-06-07T23:59:59.000Z

313

Damn the city, dam the suburbs : redefining the single family home  

E-Print Network (OSTI)

Today, we no longer realize public perception of home ownership in the United States is primarily shaped by government sponsored programs. In the 1940's, however, it was these programs that created a change in the options ...

Desmond, Marissa Grace

2010-01-01T23:59:59.000Z

314

Recommendations for 15% Above-Code Energy Efficiency Measures for Single-Family Residences  

E-Print Network (OSTI)

frame construction #0;? Ceiling R-value: R-30 #0;? Wall R-value: R-13 #0;? Un-insulated, slab-on-grade Fenestration #0;? 18% window-to-floor area ratio #0;? U-value: 0.47 Btu/hr ºF ft 2 #0;? SHGC: 0.40 Two system types: Electric cooling Natural gas..., 15% each on east and west orientations #0;? 4 ft. roof overhang was also included on all four sides Envelope & Fenestration Measures 9. Improved Window Performance #0;? Uvalue 0 .47 to 0.42 Btu/h-sq. ft.-°F #0;? SHGC 0.40 to 0.33 6. Increased...

Culp, C.; Haberl, J. S.; Mukhopadhyay, J.; Liu, J. B.; Yazdani, B.; Malhotra, M.

315

Passive heating and cooling strategies for single family housing in Fresno, California: a case study  

E-Print Network (OSTI)

as a conventional house (Anderson 1987). In 1949 Architect Eleanor Raymond and Solar Engineer Maria Telkes developed the first solar collector that used air rather than water (Watson 1977), and by 1960 more than a dozen homes utilized modern methods...

Winchester, Nathan James

1995-01-01T23:59:59.000Z

316

Solar project description for Gill Harrop, Builders, single-family detached residence, Big Flats, New York  

SciTech Connect

The Gill Harrop Builders Site is a house with approximately 1360 square feet of conditioned space heated by a direct gain system with manually operated insulated curtains. Solar heating is augmented by electric resistance heating, and a wood burning stove may be installed. Sunlight is admitted through both south facing windows and through clerestory collector panels and is absorbed and stored as heat in a concrete floor and wall. Heat is then distributed by natural convection and radiation. Temperature regulation is assisted by earth berms. Three modes of operation are described: collector-to-storage, storage-to-space heating, and passive space cooling, which is accomplished by shading, movable insulation, and ventilation. The instrumentation for the National Solar Data Network is described. The solar energy portion of the construction costs is estimated to be $7000. (LEW)

none,

1982-04-23T23:59:59.000Z

317

Building America Top Innovations 2013 Profile Â… Zero Energy-Ready Single-Family Homes  

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

for purchase and installation. for purchase and installation. Building America's research is aimed at the goal of constructing high- performance homes and many of the Building America research teams have worked directly with builders to construct zero energy or zero energy-ready homes. Here are just a few examples. The Consortium for Advanced Residential Buildings, operated by Steven Winter Associates, worked with Preferred Builders, Inc., on a high-performance test home in Old Greenwich, CT. Technologies and strategies used in the "Performance House" were not cutting-edge, but simply "best practices practiced." Closed-cell spray foam insulated the unvented attic and the interior of the foundation wall and wrapped the underside and sides of the slab while 1.5 inches of rigid foam sheathing covered the

318

Katherine Rowe September 29, 2006  

E-Print Network (OSTI)

as a parking/traffic area and to manage stormwater. Components & Function There are several types of porous of open-graded gravel and crushed stone (EPA, Sept. 1999). This base serves as a reservoir for stormwater from moving into the soil bed. Essentially, "porous pavement infiltrates and treats rainwater where

Rosemond, Amy Daum

319

Power Factor Improvement  

E-Print Network (OSTI)

Power factor control is a necessary ingredient in any successful Energy Management Program. Many companies are operating with power factors of 70% or less and are being penalized through the electrical utility bill. This paper starts by describing...

Viljoen, T. A.

1979-01-01T23:59:59.000Z

320

The Douglas Factors  

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

Douglas Factors Douglas Factors The Merit Systems Protection Board in its landmark decision, Douglas vs. Veterans Administration, 5 MSPR 280, established criteria that supervisors must consider in determining an appropriate penalty to impose for an act of employee misconduct. These twelve factors are commonly referred to as "Douglas Factors: (1) The nature and seriousness of the offense, and its relation to the employee's duties, position, and responsibilities, including whether the offense was intentional or technical or inadvertent, or was committed maliciously or for gain, or was frequently repeated; (2) the employee's job level and type of employment, including supervisory or fiduciary role,

Note: This page contains sample records for the topic "row factors single-family" 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

Meson electromagnetic form factors  

E-Print Network (OSTI)

The electromagnetic structure of the pseudoscalar meson nonet is completely described by the sophisticated Unitary&Analytic model, respecting all known theoretical properties of the corresponding form factors.

Stanislav Dubnicka; Anna Z. Dubnickova

2012-10-23T23:59:59.000Z

322

Computing nonnegative tensor factorizations  

E-Print Network (OSTI)

Oct 19, 2006 ... Keywords N-dimensional arrays, tensors, nonnegative tensor factorization, alternating ..... for each A(n)) are standard nonnegative linear least-squares problems over the vector ..... interface (lsNTF) implements the nonnegative tensor factorization for N = 3 and relies on .... and inaccurate measurements.

2006-10-18T23:59:59.000Z

323

Two-Factor Authentication  

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

Two-Factor Authentication (2FA) is a system wherein two different methods are used to authenticate an individual. 2FA is based on something you know (a secret PIN) and something you have (an...

324

factors | OpenEI  

Open Energy Info (EERE)

36 36 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142253836 Varnish cache server factors Dataset Summary Description This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. Source National Renewable Energy Laboratory Date Released August 28th, 2012 (2 years ago)

325

Multi-factor authentication  

DOE Patents (OSTI)

Detection and deterrence of spoofing of user authentication may be achieved by including a cryptographic fingerprint unit within a hardware device for authenticating a user of the hardware device. The cryptographic fingerprint unit includes an internal physically unclonable function ("PUF") circuit disposed in or on the hardware device, which generates a PUF value. Combining logic is coupled to receive the PUF value, combines the PUF value with one or more other authentication factors to generate a multi-factor authentication value. A key generator is coupled to generate a private key and a public key based on the multi-factor authentication value while a decryptor is coupled to receive an authentication challenge posed to the hardware device and encrypted with the public key and coupled to output a response to the authentication challenge decrypted with the private key.

Hamlet, Jason R; Pierson, Lyndon G

2014-10-21T23:59:59.000Z

326

Public Health FAT FACTORS  

E-Print Network (OSTI)

: THE UNITED STATES SPENDS MORE ON HEALTH CARE THAN ANY OTHER COUNTRY. YET WE CONTINUE TO FALL FAR BEHIND States spends an astonishing percent of our gross domestic product on health care--significantly moreColumbia Public Health HOT TOPIC Climate Change FAT FACTORS Obesity Prevention BOOK SMART

Qian, Ning

327

Factors Affecting Photosynthesis!  

E-Print Network (OSTI)

Factors Affecting Photosynthesis! Temperature Eppley (1972) Light Sverdrup's Critical Depth-493, but the general concept is still valid! ! #12;PB opt & Temperature! #12;Photosynthesis & Temperature! Remember: in the laboratory, we can measure photosynthesis versus irradiance (PvsE) and calculate Ek, Pmax, and alpha

Kudela, Raphael M.

328

Many Factors Affect MPG  

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

Many Factors Affect Fuel Economy Many Factors Affect Fuel Economy How You Drive Vehicle Maintenance Fuel Variations Vehicle Variations Engine Break-In Vehicles in traffic Quick acceleration and heavy braking can reduce fuel economy by up to 33 percent on the highway and 5 percent around town. New EPA tests account for faster acceleration rates, but vigorous driving can still lower MPG. Excessive idling decreases MPG. The EPA city test includes idling, but more idling will lower MPG. Driving at higher speeds increases aerodynamic drag (wind resistance), reducing fuel economy. The new EPA tests account for aerodynamic drag up to highway speeds of 80 mph, but some drivers exceed this speed. Cold weather and frequent short trips can reduce fuel economy, since your engine doesn't operate efficiently until it is warmed up. In colder

329

Human Factors Review Plan  

SciTech Connect

''Human Factors'' is concerned with the incorporation of human user considerations into a system in order to maximize human reliability and reduce errors. This Review Plan is intended to assist in the assessment of human factors conditions in existing DOE facilities. In addition to specifying assessment methodologies, the plan describes techniques for improving conditions which are found to not adequately support reliable human performance. The following topics are addressed: (1) selection of areas for review describes techniques for needs assessment to assist in selecting and prioritizing areas for review; (2) human factors engineering review is concerned with optimizing the interfaces between people and equipment and people and their work environment; (3) procedures review evaluates completeness and accuracy of procedures, as well as their usability and management; (4) organizational interface review is concerned with communication and coordination between all levels of an organization; and (5) training review evaluates training program criteria such as those involving: trainee selection, qualification of training staff, content and conduct of training, requalification training, and program management.

Paramore, B.; Peterson, L.R. (eds.)

1985-12-01T23:59:59.000Z

330

Optimizing Power Factor Correction  

E-Print Network (OSTI)

studied were 100, 150, 200, 300, 400, and 500 hours times each value of KW. The values of the capacitor cost parameters B and D were chosen to cover the range of costs suggested by capacitor suppliers and an electrical contractor. The values for B... plots correspond Power Factor Range: 0.5 to 1.0. to values of KW and KWH as shown in Fig. 5. The Figure 6; B ? $1,500; D ? $15 per kV I\\R. values of KWH are the products of the KW's and the hours. KWH/KII, hr 100 150 200 300 400 500 KII, kll...

Phillips, R. K.; Burmeister, L. C.

331

22 - Conversion Factors  

Science Journals Connector (OSTI)

Abstract This chapter details the viscosity and pressure conversion chart. To convert absolute or dynamic viscosity from one set of units to another, one must locate the given set of units in the left-hand column then multiply the numerical value by the factor shown horizontally to the right-hand side, under the set of units desired. The chapter also explains that to convert kinematic viscosity from one set of units to another, one must locate the given set of units in the left-hand column and multiply the numerical value by the factor shown horizontally to the right-hand side, under the set of units desired. The chapter also defines how the conversion from natural gas to other fuels has progressed from possibility to reality for many companies and will become necessary for many others in months and years ahead. Fuels that are considered practical replacements for gas include coal, heavy fuel oils, middle distillates (such as kerosine–typeturbo fuel and burner fuel oils) and liquefied petroleum gas.

2014-01-01T23:59:59.000Z

332

A Meta-Analysis of Single-Family Deep Energy Retrofit Performance in the U.S.  

E-Print Network (OSTI)

at the Weatherization Assistance Program StandardizedFL: ASHRAE. Weatherization Assistance Program - The Americanand the U.S. DOE Weatherization Assistance Program (Building

Less, Brennan

2014-01-01T23:59:59.000Z

333

A Meta-Analysis of Single-Family Deep Energy Retrofit Performance in the U.S.  

E-Print Network (OSTI)

production for the home and electric car 7 are combined. TheTV with DVR, and an electric car. This phased retrofitstudy that added an electric car. The only exception is one

Less, Brennan

2014-01-01T23:59:59.000Z

334

A Meta-Analysis of Single-Family Deep Energy Retrofit Performance in the U.S.  

E-Print Network (OSTI)

Journal of Sustainable Real Estate, 4(1), 78–122. Baechler,Homes. Journal of Sustainable Real Estate, 3(1), 109–126.Journal of Sustainable Real Estate, 5(1). Retrieved from

Less, Brennan

2014-01-01T23:59:59.000Z

335

A Meta-Analysis of Single-Family Deep Energy Retrofit Performance in the U.S.  

E-Print Network (OSTI)

not surprising, as cold climate projects are more stronglywere highest in Cold climate projects. The source energy use=8). Notably, Cold climate projects did not have the highest

Less, Brennan

2014-01-01T23:59:59.000Z

336

A Meta-Analysis of Single-Family Deep Energy Retrofit Performance in the U.S.  

SciTech Connect

The current state of Deep Energy Retrofit (DER) performance in the U.S. has been assessed in 116 homes in the United States (US), using actual and simulated data gathered from the available domestic literature. Substantial airtightness reductions averaging 63% (n=48) were reported (two- to three-times more than in conventional retrofits), with average post-retrofit airtightness of 4.7 Air Changes per House at 50 Pascal (ACH50) (n=94). Yet, mechanical ventilation was not installed consistently. In order to avoid indoor air quality (IAQ) issues, all future DERs should comply with ASHRAE 62.2-2013 requirements or equivalent. Projects generally achieved good energy results, with average annual net-site and net-source energy savings of 47%±20% and 45%±24% (n=57 and n=35), respectively, and carbon emission reductions of 47%±22% (n=23). Net-energy reductions did not vary reliably with house age, airtightness, or reported project costs, but pre-retrofit energy usage was correlated with total reductions (MMBtu). Annual energy costs were reduced $1,283±$804 (n=31), from a pre-retrofit average of $2,738±$1,065 to $1,588±$561 post-retrofit (n=25 and n=39). The average reported incremental project cost was $40,420±$30,358 (n=59). When financed on a 30-year term, the median change in net-homeownership cost was only $1.00 per month, ranging from $149 in savings to an increase of $212 (mean=$15.67±$87.74; n=28), and almost half of the projects resulted in reductions in net-cost. The economic value of a DER may be much greater than is suggested by these net-costs, because DERs entail substantial non-energy benefits (NEBs), and retrofit measures may add value to a home at resale similarly to general remodeling, PV panel installation, and green/energy efficient home labels. These results provide estimates of the potential of DERs to address energy use in existing homes across climate zones that can be used in future estimates of the technical potential to reduce household energy use and greenhouse gas emissions through DERs.

Less, Brennan; Walker, Iain

2014-03-01T23:59:59.000Z

337

Simulated Building Energy Performance of Single Family Detached Residences Designed for Off-Grid, Off-Pipe Operation  

E-Print Network (OSTI)

.00036 Radiant barrier None None None None None Yes Ceiling R-value R-38 R-57 R-27 R-57 R-22 R-57 Wall R-value 11+7.5 26 11+2 26 11 26 Slab perimeter insul. R-6 R-10 R-4 R-10 None None Wall and roof abs. 0.75, 0.75 0.75, 0.9 0.75, 0.75 0.75, 0.75 0.75, 0.75 0... for Sustainability. New York, NY: Thames & Hudson. Winkelmann, F.C., B.E. Birdsall, W.F. Buhl, K.L. Ellington, A.E. Erdem, J.J.Hirsch, and S. Gates. 1993. DOE-2 Supplement, Version 2.1e. LBL-34947. Berkeley, CA: Lawrence Berkley Laboratory. ESL-TR-10-08-07 ...

Malhotra, M.; Haberl, J.

338

A Meta-Analysis of Single-Family Deep Energy Retrofit Performance in the U.S.  

E-Print Network (OSTI)

energy cost savings, when the PV production for the home and electric carelectric car. This phased retrofit demonstrates how a home, family, and energy

Less, Brennan

2014-01-01T23:59:59.000Z

339

A Meta-Analysis of Single-Family Deep Energy Retrofit Performance in the U.S.  

E-Print Network (OSTI)

To increase retrofit energy and cost reductions will requireHumid Marine All Relative Energy Cost Savings (%) Cold Hot-Mixed-Humid All Absolute Energy Cost Savings (Cost ($)/ft

Less, Brennan

2014-01-01T23:59:59.000Z

340

Exposure factors handbook  

SciTech Connect

The document provides a summary of the available data on various factors used in assessing human exposure including drinking-water consumption, consumption rates of broad classes of food including fruits, vegetables, beef, dairy products, and fish; soil ingestion; inhalation rate; skin area; lifetime; activity patterns; and body weight. Additionally, a number of specific exposure scenarios are identified with recommendations for default values to use when site-specific data are not available. The basic equations using these parameters to calculate exposure levels are also presented for each scenario. Default values are presented as ranges from typical to reasonable worst case and as frequency distributions where appropriate data were available. Finally, procedures for assessing the uncertainties in exposure assessments are also presented with illustrative examples. These procedures include qualitative and quantitative methods such as Monte Carlo and sensitivity analysis.

Konz, J.J.; Lisi, K.; Friebele, E.; Dixon, D.A.

1989-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "row factors single-family" 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

Anthrax Lethal Factor  

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

Thiang Yian Wong, Robert Schwarzenbacher and Robert C. Liddington Thiang Yian Wong, Robert Schwarzenbacher and Robert C. Liddington The Burnham Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037. Anthrax Toxin is a major virulence factor in the infectious disease, Anthrax1. This toxin is produced by Bacillus anthracis, which is an encapsulated, spore-forming, rod-shaped bacterium. Inhalation anthrax, the most deadly form, is contracted through breathing spores. Once spores germinate within cells of the immune system called macrophages2, bacterial cells are released into the bloodstream. There they proliferate rapidly and secrete Anthrax Toxin, ultimately leading to septic shock and death. Although antibiotics may be used to kill the bacteria, the level of toxin has often become so high in the bloodstream that removing the bacteria alone is not sufficient to prevent death. Therefore, the design of anti-toxins offers the prospect of treatment in the advanced stages of infection. Together with collaborators from the NIH and Harvard Medical School, we are involved in the atomic resolution study of the Anthrax Toxin components and their complexes, including small molecules with therapeutic potential. Data collection at SSRL and other synchrotron radiation sources has been key to the advances made in this research so far and is expected to play a continuing role in the future.

342

Krüppel-like factor 9 is a circadian transcription factor in human epidermis that controls proliferation of keratinocytes  

Science Journals Connector (OSTI)

...using the image() function of "R" with a blue-yellow color code as indicated below the figure. Rows were ordered according...delivered anti-Klf9 (Klf9_1, Klf9_2) or nonsilencing (ns1, ns2) shRNAs were performed as described (4). Phases and periods...

Florian Spörl; Sandra Korge; Karsten Jürchott; Minetta Wunderskirchner; Katja Schellenberg; Sven Heins; Aljona Specht; Claudia Stoll; Roman Klemz; Bert Maier; Horst Wenck; Annika Schrader; Dieter Kunz; Thomas Blatt; Achim Kramer

2012-01-01T23:59:59.000Z

343

" Row: Employment Sizes within NAICS Codes...  

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

establishments using the North American" "Industry Classification System (NAICS). " " (b) Employment Size categories were supplied by the" "Bureau of the Census." " NFNo...

344

Salmon study sparks row over dams  

Science Journals Connector (OSTI)

... see some of the dams removed against federal agencies charged with maintaining the dams, providing power and protecting salmon. Thirty-one federal dams on the Columbia River and its tributaries ... River and its tributaries collectively provide some 60% of the region's electricity. The Bonneville ...

Jeff Tollefson

2008-10-27T23:59:59.000Z

345

Two Row Mixed Integer Cuts Via Lifting?  

E-Print Network (OSTI)

Jun 22, 2008 ... [1], Borozan and Cornuéjols [7] and Cornuéjols and Margot [10] ...... not an extreme valid inequality for the problem MI(I2,S2,P(Mr)). Observe ...

2008-06-22T23:59:59.000Z

346

" Row: NAICS Codes; Column: Energy Sources...  

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

mines or wells." "During manufacturing processes, it is possible that the thermal energy content of" "an energy input is not completely consumed for the production of...

347

" Row: End Uses within NAICS Codes;"  

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

End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ",,,"Fuel...

348

All row, planar fault detection system  

DOE Patents (OSTI)

An apparatus, program product and method for detecting nodal faults may simultaneously cause designated nodes of a cell to communicate with all nodes adjacent to each of the designated nodes. Furthermore, all nodes along the axes of the designated nodes are made to communicate with their adjacent nodes, and the communications are analyzed to determine if a node or connection is faulty.

Archer, Charles Jens; Pinnow, Kurt Walter; Ratterman, Joseph D; Smith, Brian Edward

2013-07-23T23:59:59.000Z

349

Reducing Power Factor Cost | Department of Energy  

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

Power Factor Cost Reducing Power Factor Cost Low power factor is expensive and inefficient. Many utility companies charge an additional fee if your power factor is less than 0.95....

350

Electrical and Production Load Factors  

E-Print Network (OSTI)

, Texas Abstract Load factors and operating hours of small and medium-sized industrial plants are analyzed to classify shift-work patterns and develop energy conservation diagnostic tools. This paper discusses two types of electric load factors... for each shift classification within major industry groups. The load factor based on billing hours (ELF) increases with operating hours from about 0.4 for a nominal one shift operation, to about 0.7 for around-the-clock operation. On the other hand...

Sen, T.; Heffington, W. M.

351

Industrial Power Factor Analysis Guidebook.  

SciTech Connect

Power factor is a way of measuring the percentage of reactive power in an electrical system. Reactive power represents wasted energy--electricity that does no useful work because the electrical current is out of phase with the voltage. Reactive power is used by inductive loads (such as, motors, transformers, fluorescent lights, arc welders and induction furnaces) to sustain their magnetic fields. Electric systems with many motors exhibit low power factors, increased conductor and transformer losses, and lower voltages. Utilities must supply both active and reactive power and compensate for these losses. Power factor can be improved by the addition of shunt capacitors. Capacitors act in opposition to inductive loads, thereby minimizing the reactive power required to serve them. In raising the power factor, shunt capacitors release energy to the system, reduce system losses, and ultimately decrease power costs. Improving system power factor can reduce reactive and active power losses for both industry and utilities through the addition of shunt capacitors. This Guide Book gives electric utility technical staff, industrial end-users, consultants and BPA employees a step-by-step method for evaluating the cost effectiveness of installing power factor correction capacitors in an industrial plant.

Electrotek Concepts.

1995-03-01T23:59:59.000Z

352

The effect of penetration factor, deposition, and environmental factors on  

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

The effect of penetration factor, deposition, and environmental factors on The effect of penetration factor, deposition, and environmental factors on the indoor concentration of pm2.5 sulfate, nitrate, and carbon Title The effect of penetration factor, deposition, and environmental factors on the indoor concentration of pm2.5 sulfate, nitrate, and carbon Publication Type Conference Proceedings Year of Publication 2002 Authors Thatcher, Tracy L., Melissa M. Lunden, Richard G. Sextro, Susanne V. Hering, and Nancy J. Brown Conference Name Proceedings of the Indoor Air 2002 Conference, Monterey, CA Volume 1 Pagination 846-851 Publisher Indoor Air 2002, Santa Cruz, CA Abstract Indoor exposure to particles of outdoor origin constitutes an important exposure pathway. We conducted an intensive set of indoor particle measurements in an unoccupied house under differing operating conditions. Real-time measurements were conducted both indoors and outdoors, including PM2.5 nitrate, sulfate, and carbon. Because the time-scale of the fluctuations in outdoor particle concentrations and meteorological conditions are often similar to the time constant for building air exchange, a steady state concentration may never be reached. The time-series experimental data were used to determine the effect of changes in air exchange rate and indoor/outdoor temperature and relative humidity differences on indoor particle concentrations. A multivariate regression was performed to investigate the difference between measured indoor concentrations and results from a simple time-dependent physical model. Environmental conditions had a significant effect on indoor concentrations of all three PM2.5 species, but did not explain all of the model variation

353

Dynamic Structure Factor of Microemulsions  

Science Journals Connector (OSTI)

The dynamic structure factor G(k,?) is studied in a time-dependent Ginzburg-Landau model for microemulsions in thermal equilibrium by field-theoretic perturbation methods. For small viscosities, the structure factor develops a peak at a nonzero frequency ?, for fixed wavelengths of the order of the typical domain size of oil and water regions. This implies that the intermediate scattering function oscillates in time. We give a simple explanation for these temporal oscillations by considering the flow through a tube with a radius-dependent tension.

G. Gompper and M. Hennes

1994-08-22T23:59:59.000Z

354

Invariant time-series factorization  

Science Journals Connector (OSTI)

Time-series analysis is an important domain of machine learning and a plethora of methods have been developed for the task. This paper proposes a new representation of time series, which in contrast to existing approaches, decomposes a time-series dataset ... Keywords: Data mining, Time-series classification, Time-series factorization

Josif Grabocka; Lars Schmidt-Thieme

2014-09-01T23:59:59.000Z

355

Identifying Needed Capabilities in Multifamily Models  

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

Identifying Needed Capabilities in Multifamily Models Building America Technical Update Meeting Eric Wilson April 30, 2013 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Definitions Current definitions for HSP/BEopt: Single Family Attached = Townhouses, row houses, duplexes Multifamily Buildings = 5+ units; shared floors/ceilings 2 Single Family Attached - Rowhouses 3 Multifamily - Stacked Units * Enable Superinsulated Slab and Roof options in Option Manager 4 Multifamily Modeling Needs * Adiabatic shared walls, floors, and ceilings * Unit multipliers  Whole-Building Model * Corridors * Common Areas * Operating Conditions (Benchmark)

356

Factors Impacting Decommissioning Costs - 13576  

SciTech Connect

The Electric Power Research Institute (EPRI) studied United States experience with decommissioning cost estimates and the factors that impact the actual cost of decommissioning projects. This study gathered available estimated and actual decommissioning costs from eight nuclear power plants in the United States to understand the major components of decommissioning costs. Major costs categories for decommissioning a nuclear power plant are removal costs, radioactive waste costs, staffing costs, and other costs. The technical factors that impact the costs were analyzed based on the plants' decommissioning experiences. Detailed cost breakdowns by major projects and other cost categories from actual power plant decommissioning experiences will be presented. Such information will be useful in planning future decommissioning and designing new plants. (authors)

Kim, Karen; McGrath, Richard [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)] [Electric Power Research Institute, 3420 Hillview Ave., Palo Alto, California (United States)

2013-07-01T23:59:59.000Z

357

Precise Neutron Magnetic Form Factors  

E-Print Network (OSTI)

Precise data on the neutron magnetic form factor G_{mn} have been obtained with measurements of the ratio of cross sections of D(e,e'n) and D(e,e'p) up to momentum transfers of Q^2 = 0.9 (GeV/c)^2. Data with typical uncertainties of 1.5% are presented. These data allow for the first time to extract a precise value of the magnetic radius of the neutron.

G. Kubon; H. Anklin; P. Bartsch; D. Baumann; W. U. Boeglin; K. Bohinc; R. Boehm; C. Carasco; M. O. Distler; I. Ewald; J. Friedrich; J. M Friedrich; M. Hauger; A. Honegger; P. Jennewein; J. Jourdan; M. Kahrau; K. W. Krygier; A. Liesenfeld; H. Merkel; U. Mueller; R. Neuhausen; Ch. Normand; Th. Petitjean; Th. Pospischil; M. Potokar; D. Rohe; G. Rosner; H. Schmieden; I. Sick; S. Sirca; Ph. Trueb; A. Wagner; Th. Walcher; G. Warren; M. Weis; H. Woehrle; M. ZeierJ. Zhao; B. Zihlmann

2001-07-26T23:59:59.000Z

358

Quantum Computers, Factoring, and Decoherence  

E-Print Network (OSTI)

In a quantum computer any superposition of inputs evolves unitarily into the corresponding superposition of outputs. It has been recently demonstrated that such computers can dramatically speed up the task of finding factors of large numbers -- a problem of great practical significance because of its cryptographic applications. Instead of the nearly exponential ($\\sim \\exp L^{1/3}$, for a number with $L$ digits) time required by the fastest classical algorithm, the quantum algorithm gives factors in a time polynomial in $L$ ($\\sim L^2$). This enormous speed-up is possible in principle because quantum computation can simultaneously follow all of the paths corresponding to the distinct classical inputs, obtaining the solution as a result of coherent quantum interference between the alternatives. Hence, a quantum computer is sophisticated interference device, and it is essential for its quantum state to remain coherent in the course of the operation. In this report we investigate the effect of decoherence on the quantum factorization algorithm and establish an upper bound on a ``quantum factorizable'' $L$ based on the decoherence suffered per operational step.

I. Chuang; Raymond Laflamme; P. Shor; W. Zurek

1995-03-08T23:59:59.000Z

359

Industrial Equipment Demand and Duty Factors  

E-Print Network (OSTI)

Demand and duty factors have been measured for selected equipment (air compressors, electric furnaces, injection molding machines, centrifugal loads, and others) in industrial plants. Demand factors for heavily loaded air compressors were near 100...

Dooley, E. S.; Heffington, W. M.

360

Guidelines for Power Factor Improvement Projects  

E-Print Network (OSTI)

Power factor is an indication of electrical system efficiency. Low power factor, or low system efficiency, may be due to one or more causes, including lightly loaded transformers, oversized electric motors, and harmonic-generating non-linear loads...

Massey, G. W.

Note: This page contains sample records for the topic "row factors single-family" 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

Cone Penetrometer N Factor Determination Testing Results  

SciTech Connect

This document contains the results of testing activities to determine the empirical 'N Factor' for the cone penetrometer in kaolin clay simulant. The N Factor is used to releate resistance measurements taken with the cone penetrometer to shear strength.

Follett, Jordan R.

2014-03-05T23:59:59.000Z

362

Crop Management Factors: What is Important?  

E-Print Network (OSTI)

Various management factors, including specific practices and the persistence of those practices over time, can greatly influence farm profitability. Some of those factors are managing for high yield or low production cost, as well as adoption...

Kastens, Terry L.; Dhuyvetter, Kevin C.; Nivens, Heather; Klinefelter, Danny A.

1999-09-29T23:59:59.000Z

363

Factors affecting balanced scorecard usage  

Science Journals Connector (OSTI)

The paper aims to focus on antecedents of the individual-level determinants of the model as opposed to firm-level determinants and how this might contribute to greater understanding for the implementation of the balanced scorecard (BSC). The paper is based on an empirical study of the data collected using the Dunn and Bradstreet database through a survey questionnaire. The analysis of the data shows that the awareness of BSC capabilities is positively associated with the adoption of the BSC. This is the most important variable leading to the adoption of the BSC by the sample companies. The current research has tried to make use of and discussed the available research in this area and has provided an antecedent to and direction for the implementation of the BSC. Though more empirical research is needed to generalise the findings, the current research has identified some factors and future research that may be undertaken in that direction.

Majidul Islam; Yi-Feng Yang; Yu-Jia Hu; Cheng-Se Hsu

2014-01-01T23:59:59.000Z

364

Prime Factorization in the Duality Computer  

E-Print Network (OSTI)

We give algorithms to factorize large integers in the duality computer. We provide three duality algorithms for factorization based on a naive factorization method, the Shor algorithm in quantum computing, and the Fermat's method in classical computing. All these algorithms are polynomial in the input size.

Wan-Ying Wang; Bin Shang; Chuan Wang; Gui Lu Long

2006-07-04T23:59:59.000Z

365

GUIDED ANGLER FISH ANNUAL CONVERSION FACTORS  

E-Print Network (OSTI)

GUIDED ANGLER FISH ANNUAL CONVERSION FACTORS FOR THE 2014 FISHING YEAR NOAA FISHERIES, ALASKA via the GAF electronic reporting system. If no GAF were harvested in a year, the conversion factor is the first calendar year that GAF regulations will be in effect. Therefore, the conversion factors are based

366

2008 Guidelines to Defra's GHG Conversion Factors Guidelines to Defra's GHG Conversion Factors  

E-Print Network (OSTI)

with the standard conversion factors at Annex 1. If, however, you export energy or heat to another business (or2008 Guidelines to Defra's GHG Conversion Factors 2008 Guidelines to Defra's GHG Conversion Factors yellow = Calculation results Page 1 of 15 #12;2008 Guidelines to Defra's GHG Conversion Factors Annex 1

367

Development of a single-family absorption chiller for use in a solar heating and cooling system. Phase III, final report. Volume II  

SciTech Connect

The appendices provide supporting information on: properties of a chemical system for solar fired, air-cooled absorption equipment, air-side performance of a one-inch tube, absorber plate-fin coil, listings of the programs used for simulation and data reduction, and evaluation of the Carrier 3-ton chiller in an integrated heating and cooling system. (LEW)

Reimann, R.C.; Biermann, W.J.

1984-10-01T23:59:59.000Z

368

Development of a Web-based Emissions Reduction Calculator for Code-Compliant Single-Family and Multi-Family Construction  

E-Print Network (OSTI)

ay ) (A u g . 19 ) T o t a l A n nu al (El e c. + NG) (M B t u) A n nu al Ele c.Sa v in gs (k W h /y r) A n n ual NG Sa v i n g s (The rm s/y r) P e ak -d ay El e c . Sa v i n g s (k W h /d ay ) ( A ug . 19 ) P eak - day N G Sa v i n g...

Ahmad, M.; Gilman, D.; Mukhopadhyay, J.; Haberl, J. S.; Culp, C.

2005-01-01T23:59:59.000Z

369

Development of a Method Using BIM Technology to Determine the Utility Bill and Total Cost of Ownership of a Single-family Home  

E-Print Network (OSTI)

. Note: Numbers generated from Autodesk Green Building Studio & Google Mortgage Calculator Source: Created in Microsoft Excel 22 In the first method I was able to successfully establish the utility bill and the total cost of ownership.... Note: Numbers generated from Autodesk Green Building Studio & Google Mortgage Calculator Source: Created in Microsoft Excel 22 In the first method I was able to successfully establish the utility bill and the total cost of ownership...

McGarity, Ashley

2010-07-14T23:59:59.000Z

370

Optimum utilization of site energy sources for all-season thermal comfort in new residential construction for single-family attached (rowhouse/townhouse) designs  

SciTech Connect

A proposed design analysis is presented of a passive solar energy efficient system for a typical three-level, three bedroom, two story, garage-under townhouse. The design incorporates the best, most performance-proven and cost effective products, materials, processes, technologies, and sub-systems which are available today. Seven distinct categories recognized for analysis are identified as: the exterior environment; the interior environment; conservation of energy; natural energy utilization; auxiliary energy utilization; control and distribution systems; and occupant adaptation. Preliminary design features, fenestration sysems, the plenum-supply system, the thermal-storage party-fire walls, direct gain storage, the radiant comfort system, and direct passive cooling systems are briefly described. Features of the design under analysis and on which conclusions have not yet been formulated are: the energy reclamation system, auxiliary energy back-up systems, the distribution system and operating modes, the control systems, and non-comfort energy systems and inputs. (MCW)

Not Available

1981-02-26T23:59:59.000Z

371

J. Koffi et al, F: Experimental Evaluation of Ventilation Systems in a Single-Family Dwelling 1 Experimental Evaluation of Ventilation Systems in a Single-  

E-Print Network (OSTI)

the building through the "habitable rooms" while the polluted air is extracted in the service rooms. In this way, internal air is drained from the lowest polluted rooms to the highest polluted ones. However the "habitable rooms" by natural air inlets or mechanical air supply. The polluted air is extracted

Boyer, Edmond

372

Statewide Electrical Energy Cost Savings and Peak Demand Reduction from the IECC Code-Compliant, Single-Family Residences in Texas (2002-2009)  

E-Print Network (OSTI)

peaking plant (i.e., capacity savings), the calculated demand savings in MW were then multiplied by the average capital cost of natural gas combined cycle power plant, $1,165 per kW (Kaplan, 2008) using a 15% reserve margin (Faruqui et al. 2007... to the 2001 and 2006 IECC codes. 72?F Heating, 75?F CoolingSpace Temperature Set point (Simulation adjustment3: Heating 72F, Cooling 75F) (b) Heat Pump House: 0.904 360 0.88 kW (Simulation adjustment3: 1.095 kW) HVAC System Type (a) Electric/Gas...

Kim, H; Baltazar, J.C.; Haberl, J.

373

Recommendations for 15% Above-Code Energy Efficiency Measures on Implementing Houston Amendments to Single-Family Buildings in Houston Texas  

E-Print Network (OSTI)

of heating fuel type and thermostat setback: a) natural gas (i.e., gas-fired furnace for space heating, and gas water heater for domestic water heating) with thermostat setback, b) electricity (i.e., heat pump for space heating, and electric water heater...

Liu, Z.; Mukhopadhyay, J.; Malhotra, M.; Kota, S.; Haberl, J. S.; Culp, C.; Yazdani, B.

374

Alternative housing designs for changing life-styles in Japan  

E-Print Network (OSTI)

The purpose of this thesis is to determine the factors affecting the transformation of user requirements for a single family detached house by analyzing changing technology and life-styles of the traditional and modern ...

Ryu, Yoshiko

1982-01-01T23:59:59.000Z

375

Human preproinsulin-like growth factor I  

SciTech Connect

This patent describes a synthetic DNA sequence encoding a preproinsulin-like growth factor-I protein. It comprises: the sequence of amino acids.

Rotwein, P.S.; Krivi, G.G.

1990-10-16T23:59:59.000Z

376

Major Risk Factors Integrated Facility Disposition Project -...  

Office of Environmental Management (EM)

Integrated Facility Disposition Project - Oak Ridge Major Risk Factors Integrated Facility Disposition Project - Oak Ridge Full Document and Summary Versions are available for...

377

Nucleon Form Factor Measurements and Interpretation  

SciTech Connect

The data base for the form factors of the nucleon obtained from elastic ep scattering is discussed, as well as some recent developments in their calculation.

Charles F. Perdrisat

2007-08-22T23:59:59.000Z

378

Optimization Online - Directed modified Cholesky factorizations and ...  

E-Print Network (OSTI)

This must holds with full mathematical rigor, although the computations are done in floating-point arithmetic. Similarly, a directed modified Cholesky factorization ...

Ferenc Domes

379

NEW EFFICIENT AND ROBUST HSS CHOLESKY FACTORIZATION ...  

E-Print Network (OSTI)

The overall factorization requires fewer floating point operations and has better data locality when compared to the recent HSS method in [SIAM J. Matrix Anal.

2012-04-23T23:59:59.000Z

380

Directed modified Cholesky factorizations and convex quadratic ...  

E-Print Network (OSTI)

Jul 3, 2014 ... done in floating-point arithmetic. Domes & Neumaier [1] presented two methods for obtaining a directed. Cholesky factorization. The method ...

2014-07-03T23:59:59.000Z

Note: This page contains sample records for the topic "row factors single-family" 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

Determination of $|V_{us}|$ from a lattice-QCD calculation of the $K\\to?\\ell?$ semileptonic form factor with physical quark masses  

E-Print Network (OSTI)

We calculate the kaon semileptonic form factor $f_+(0)$ from lattice QCD, working, for the first time, at the physical light-quark masses. We use gauge configurations generated by the MILC collaboration with $N_f=2+1+1$ flavors of sea quarks, which incorporate the effects of dynamical charm quarks as well as those of up, down, and strange. We employ data at three lattice spacings to extrapolate to the continuum limit. Our result, $f_+(0) = 0.9704(32)$, where the error is the total statistical plus systematic uncertainty added in quadrature, is the most precise determination to date. Combining our result with the latest experimental measurements of $K$ semileptonic decays, one obtains the Cabibbo-Kobayashi-Maskawa matrix element $|V_{us}|=0.22290(74)(52)$, where the first error is from $f_+(0)$ and the second one is from experiment. In the first-row test of Cabibbo-Kobayashi-Maskawa unitarity, the error stemming from $|V_{us}|$ is now comparable to that from $|V_{ud}|$.

A. Bazavov; C. Bernard; C. Bouchard; C. DeTar; D. Du; A. X. El-Khadra; J. Foley; E. D. Freeland; E. Gámiz; Steven Gottlieb; U. M. Heller; J. Kim; A. S. Kronfeld; J. Laiho; L. Levkova; P. B. Mackenzie; E. T. Neil; M. B. Oktay; Si-Wei Qiu; J. N. Simone; R. Sugar; D. Toussaint; R. S. Van de Water; Ran Zhou

2013-12-04T23:59:59.000Z

382

Table HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit,  

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

5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, 5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.4 0.4 1.8 2.1 1.4 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Census Region and Division Northeast ...................................... 13.0 10.8 1.1 0.5 0.6 11.4 New England .............................. 3.5 3.1 0.2 Q 0.1 16.9 Middle Atlantic ............................ 9.5 7.7 0.9 0.4 0.4 13.4 Midwest ......................................... 17.5 16.0 0.3 Q 1.0 10.3 East North Central ......................

383

untitled  

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

4a. Home Office Equipment by Type of Housing Unit, 4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.5 2.2 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.1 Households Using Office Equipment .......................... 96.2 68.2 8.5 13.8 5.8 4.5 Personal Computers 1 ................... 60.0 46.4 4.1 6.8 2.7 5.9 Number of Desktop PCs 1 .................................................. 45.1 34.4 3.3 5.2 2.2 6.3 2 or more .................................... 9.1 7.7 0.3 0.8 0.3 15.0 Number of Laptop PCs 1 .................................................. 12.0 9.4 0.8

384

char_household2001.pdf  

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

5a. Household Characteristics by Type of Owner-Occupied Housing Unit, 5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.3 0.4 2.0 2.9 1.3 Total Owner-Occupied Units ....... 72.7 63.2 2.1 1.8 5.7 6.7 Household Size 1 Person ....................................... 15.8 12.5 0.8 0.9 1.6 10.3 2 Persons ...................................... 25.9 23.4 0.5 0.5 1.5 10.1 3 Persons ...................................... 11.6 9.6 0.5 Q 1.3 12.1 4 Persons ...................................... 11.8 10.9 Q Q 0.7 15.7 5 Persons ...................................... 5.1 4.5 Q Q 0.4 24.2 6 or More Persons

385

appl_household2001.pdf  

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

4a. Appliances by Type of Housing Unit, 4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.6 1.9 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 69.1 9.4 16.7 6.6 4.3 1 ................................................ 95.2 63.7 8.9 16.2 6.3 4.3 2 or More .................................. 6.5 5.4 0.4 0.4 0.2 15.9 Most Used Oven ........................ 101.7 69.1 9.4 16.7 6.6 4.3 Electric ...................................... 63.0 43.3 5.2 10.9 3.6

386

ac_household2001.pdf  

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

5a. Air Conditioning by Type of Owner-Occupied Housing Unit, 5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 59.5 58.7 6.5 12.4 5.3 5.2 Air Conditioners Not Used ............ 1.2 1.1 Q 0.6 Q 23.3 Households Using Electric Air-Conditioning 1 .......................... 58.2 57.6 6.3 11.8 5.1 5.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 44.7 43.6 3.2 7.1 3.5 7.0 Without a Heat Pump .................. 35.6 35.0 2.4 6.1 2.7 7.7 With a Heat Pump .......................

387

ac_household2001.pdf  

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

6a. Air Conditioning by Type of Rented Housing Unit, 6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.8 0.5 1.4 1.2 1.6 Households With Electric Air-Conditioning Equipment ........ 23.4 58.7 6.5 12.4 5.3 6.1 Air Conditioners Not Used ............ 0.9 1.1 Q 0.6 Q 23.0 Households Using Electric Air-Conditioning 1 .......................... 22.5 57.6 6.3 11.8 5.1 6.2 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 12.7 43.6 3.2 7.1 3.5 8.5 Without a Heat Pump .................. 10.6 35.0 2.4 6.1 2.7 9.3 With a Heat Pump ....................... 2.2 8.6 0.8 1.0

388

spaceheat_household2001.pdf  

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

5a. Space Heating by Type of Owner-Occupied Housing Unit, 5a. Space Heating by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.4 1.9 3.0 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Heat Home ..................................... 72.4 63.0 2.0 1.7 5.7 6.7 Do Not Heat Home ........................ 0.4 0.2 Q Q Q 46.2 No Heating Equipment .................. 0.3 0.2 Q Q Q 39.0 Have Equipment But Do Not Use It ................................ Q Q Q Q Q NF Main Heating Fuel and Equipment (Have and Use Equipment) ............ 72.4 63.0 2.0 1.7 5.7 6.7 Natural Gas

389

Table HC7-6a. Home Office Equipment by Type of Rented Housing Unit,  

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

6a. Home Office Equipment by Type of Rented Housing Unit, 6a. Home Office Equipment by Type of Rented Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.0 0.9 3.0 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Households Using Office Equipment .......................... 28.7 9.2 6.5 12.1 0.9 7.5 Personal Computers 1 ................... 14.3 5.3 2.9 5.9 0.3 10.7 Number of Desktop PCs 1 .................................................. 11.0 4.0 2.4 4.4 0.3 11.4 2 or more .................................... 1.7 0.7 0.2 0.7 Q 30.8 Number of Laptop PCs 1 ..................................................

390

char_household2001.pdf  

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

6a. Household Characteristics by Type of Rented Housing Unit, 6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total Rented Units ........................ 34.3 10.5 7.4 15.2 1.1 6.9 Household Size 1 Person ....................................... 12.3 2.5 2.6 7.0 0.3 10.0 2 Persons ...................................... 9.2 2.5 2.5 4.1 Q 11.8 3 Persons ...................................... 5.4 2.0 1.1 2.0 0.4 13.9 4 Persons ...................................... 3.8 1.6 0.7 1.4 Q 17.7 5 Persons ...................................... 2.0 0.9 0.4 0.6 Q 24.1 6 or More Persons ........................

391

Table HC7-5a. Home Office Equipment by Type of Owner-Occupied Housing Unit,  

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

5a. Home Office Equipment by Type of Owner-Occupied Housing Unit, 5a. Home Office Equipment by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.3 2.1 3.0 1.6 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Households Using Office Equipment .......................... 67.5 59.0 2.0 1.7 4.8 7.0 Personal Computers 1 ................... 45.7 41.1 1.3 0.9 2.4 8.6 Number of Desktop PCs 1 .................................................. 34.1 30.5 1.0 0.7 1.9 9.7 2 or more .................................... 7.4 7.0 Q Q 0.2 18.4 Number of Laptop PCs 1 ..................................................

392

appl_household2001.pdf  

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

5a. Appliances by Type of Owner-Occupied Housing Unit, 5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.4 2.1 3.1 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Kitchen Appliances Cooking Appliances Oven ........................................... 68.3 59.1 2.0 1.7 5.4 7.0 1 ................................................ 62.9 54.1 2.0 1.6 5.2 7.1 2 or More .................................. 5.4 5.0 Q Q 0.2 22.1 Most Used Oven ........................ 68.3 59.1 2.0 1.7 5.4 7.0 Electric ......................................

393

spaceheat_household2001.pdf  

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

4a. Space Heating by Type of Housing Unit, 4a. Space Heating by Type of Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.7 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.4 Heat Home ..................................... 106.0 73.4 9.4 16.4 6.8 4.5 Do Not Heat Home ........................ 1.0 0.3 Q 0.6 Q 19.0 No Heating Equipment .................. 0.5 0.2 Q 0.3 Q 24.2 Have Equipment But Do Not Use It ................................ 0.4 Q Q 0.3 Q 28.1 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 73.4 9.4 16.4 6.8 4.5 Natural Gas ...................................

394

spaceheat_household2001.pdf  

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

6a. Space Heating by Type of Rented Housing Unit, 6a. Space Heating by Type of Rented Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Heat Home ..................................... 33.7 10.4 7.4 14.8 1.1 6.9 Do Not Heat Home ........................ 0.6 Q Q 0.5 Q 21.4 No Heating Equipment .................. 0.2 Q Q Q Q 84.5 Have Equipment But Do Not Use It ................................ 0.4 Q Q 0.3 Q 36.4 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 33.7 10.4 7.4 14.8 1.1 6.9 Natural Gas ...................................

395

ac_household2001.pdf  

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

4a. Air Conditioning by Type of Housing Unit, 4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.6 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 82.9 58.7 6.5 12.4 5.3 4.9 Air Conditioners Not Used ............ 2.1 1.1 Q 0.6 Q 21.8 Households Using Electric Air-Conditioning 1 .......................... 80.8 57.6 6.3 11.8 5.1 4.9 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 57.5 43.6 3.2 7.1 3.5 6.7 Without a Heat Pump .................. 46.2 35.0 2.4 6.1 2.7 7.7 With a Heat Pump ....................... 11.3 8.6 0.8 1.0 0.8 19.7 Room Air-Conditioning

396

Photon impact factor in the NLO  

SciTech Connect

The photon impact factor for the BFKL pomeron is calculated in the next-to-leading order (NLO) approximation using the operator expansion in Wilson lines. The result is represented as a NLO k{sub T}-factorization formula for the structure functions of small-x deep inelastic scattering.

Balitsky, Ian [JLAB

2013-04-01T23:59:59.000Z

397

Cloud Controlling Factors --Low Clouds BJORN STEVENS,  

E-Print Network (OSTI)

Cloud Controlling Factors -- Low Clouds BJORN STEVENS, Department of Atmospheric and Oceanic) clouds is reviewed, with an emphasis on factors that may be expected to change in a changing climate of low-cloud control- ling processes are offered: these include renewing our focus on theory, model

Stevens, Bjorn

398

IPCC Emission Factor Database | Open Energy Information  

Open Energy Info (EERE)

IPCC Emission Factor Database IPCC Emission Factor Database Jump to: navigation, search Tool Summary Name: IPCC Emission Factor Database Agency/Company /Organization: World Meteorological Organization, United Nations Environment Programme Resource Type: Dataset Website: www.ipcc-nggip.iges.or.jp/EFDB/main.php References: IPCC-EFDB[1] About "EFDB is meant to be a recognised library, where users can find emission factors and other parameters with background documentation or technical references that can be used for estimating greenhouse gas emissions and removals. The responsibility of using this information appropriately will always remain with the users themselves." References ↑ "IPCC-EFDB" Retrieved from "http://en.openei.org/w/index.php?title=IPCC_Emission_Factor_Database&oldid=367213"

399

Exploratory factor analysis in behavior genetics research: Factor recovery with small sample sizes  

E-Print Network (OSTI)

Results of a Monte Carlo study of exploratory factor analysis demonstrate that in studies characterized by low sample sizes the population factor structure can be adequately recovered if communalities are high, model error ...

Preacher, K. J.; MacCallum, R. C.

2002-01-01T23:59:59.000Z

400

Term Structure Dynamics with Macroeconomic Factors  

E-Print Network (OSTI)

with Macro Variables I present an a ne term structure model with latent factors and observable macroeco- nomic variables. I denote a state variable vector by Xt = (x1t; ;xkt;xk+1t;:::;xnt)0, where the rstk factors are unobservable and the remaining (n k...) factors are macroe- conomic variables. Suppose that Xt follows an Ito process (2.3) dXt = K[ Xt]dt+ p StdWt; where K is an n n matrix, is an n 1 vector. St is an n n diagonal matrix and the ith diagonal element is given as i + 0iXt, where i is a...

Park, Ha-Il

2011-02-22T23:59:59.000Z

Note: This page contains sample records for the topic "row factors single-family" 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

Phenomenology of the Deuteron Electromagnetic Form Factors  

E-Print Network (OSTI)

A rigorous extraction of the deuteron charge form factors from tensor polarization data in elastic electron-deuteron scattering, at given values of the 4-momentum transfer, is presented. Then the world data for elastic electron-deuteron scattering is used to parameterize, in three different ways, the three electromagnetic form factors of the deuteron in the 4-momentum transfer range 0-7 fm^-1. This procedure is made possible with the advent of recent polarization measurements. The parameterizations allow a phenomenological characterization of the deuteron electromagnetic structure. They can be used to remove ambiguities in the form factors extraction from future polarization data.

TheJLAB t20 collaboration; D. Abbott

2000-02-25T23:59:59.000Z

402

Synthetic heparin-binding factor analogs  

DOE Patents (OSTI)

The invention provides synthetic heparin-binding growth factor analogs having at least one peptide chain, and preferably two peptide chains branched from a dipeptide branch moiety composed of two trifunctional amino acid residues, which peptide chain or chains bind a heparin-binding growth factor receptor and are covalently bound to a non-signaling peptide that includes a heparin-binding domain, preferably by a linker, which may be a hydrophobic linker. The synthetic heparin-binding growth factor analogs are useful as pharmaceutical agents, soluble biologics or as surface coatings for medical devices.

Pena, Louis A. (Poquott, NY); Zamora, Paul O. (Gaithersburg, MD); Lin, Xinhua (Plainview, NY); Glass, John D. (Shoreham, NY)

2010-04-20T23:59:59.000Z

403

electricity emission factors | OpenEI  

Open Energy Info (EERE)

emission factors emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago) Keywords buildings carbon dioxide emissions carbon footprinting CO2 commercial buildings electricity emission factors ERCOT hourly emission factors interconnect nitrogen oxides

404

Influencia de diversos factores sobre Eremothecium ashbyii  

Science Journals Connector (OSTI)

Se observa la diferencia entre las variables productoras y no productoras de riboflavina, establecidas por sus caracteres morfológicos y microscópicos, y se estudia la influencia de ciertos factores y la inmun...

Marta Polichenco

405

Factors favorable to public participation success  

SciTech Connect

Categories of factors linked to successful public participation (PP) program outcomes include PP process, organizational context, sociopolitical context, strategic considerations and unique (special circumstances) factors. We re-order the long list factors according to how essential, important, and unique they are and discuss their significance and interrelationships. It is argued that bureacratic structure and operational modes are basically in conflict with features of successful PP programs (openness, two-way education, communication with nonexpert outsiders). If this is so, then it is not surprising that the factors essential for PP success in bureacracies involve extraordinary management efforts by agencies to bypass, compensate for, or overcome structural constraints. We conclude by speculating about the long-term viability of PP practices in the agency setting as well as the consequences for agencies that attempt the problematic task of introducing PP into their complex, mission-oriented organizations.

Peelle, E.; Schweitzer, M.; Munro, J.; Carnes, S.; Wolfe, A.

1996-05-01T23:59:59.000Z

406

Decision making process and factors routing  

E-Print Network (OSTI)

This research studies the decision-making process and the factors that affect truck routing. The data collection involved intercept interviews with truck drivers at three rest area and truck stops along major highways in ...

Sun, Yichen, S.M. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

407

Carbon Dioxide Emission Factors for Coal  

Reports and Publications (EIA)

The Energy Information Administration (EIA) has developed factors for estimating the amount of carbon dioxide emitted, accounting for differences among coals, to reflect the changing "mix" of coal in U.S. coal consumption.

1994-01-01T23:59:59.000Z

408

Repairing Tom Swift's electric factor analysis machine  

E-Print Network (OSTI)

Proper use of exploratory factor analysis (EFA) requires the researcher to make a series of careful decisions. Despite attempts by Floyd and Widaman (1995), Fabrigar, Wegener, MacCallum, and Strahan (1999), and others to ...

Preacher, K. J.; MacCallum, R. C.

2003-01-01T23:59:59.000Z

409

Factors affecting robust retail energy markets  

SciTech Connect

This paper briefly defines an active retail market, details the factors that influence market activity and their relative importance, compares activity in various retail energy markets to date, and predicts future retail energy market activity. Three primary factors translate into high market activity: supplier margins, translated into potential savings for actively shopping customers; market size; and market barriers. The author surveys activity nationwide and predicts hot spots for the coming year.

Michelman, T.S.

1999-04-01T23:59:59.000Z

410

Capacity factors and solar job creation  

Science Journals Connector (OSTI)

We discuss two main job creation statistics often used by solar advocates to support increased solar deployment. Whilst overall solar technologies have a tendency to be labor-intensive, we find that the jobs per gigawatt hour statistic is relatively mis-leading as it has a tendency to reward technologies that have a low capacity factor. Ultimately the lower the capacity factor the more amplified the solar job creation number.

Matt Croucher

2011-01-01T23:59:59.000Z

411

Factors and Feeds for Supplementing Beef Cows  

E-Print Network (OSTI)

decreases, and so does diet quality. Then, supple- mentation may become necessary even if animal numbers are reduced. Factors and Feeds for Supplementing Beef Cows Stephen P. Hammack and Ronald J. Gill* *Extension Beef Cattle Specialist and Extension Live... decreases, and so does diet quality. Then, supple- mentation may become necessary even if animal numbers are reduced. Factors and Feeds for Supplementing Beef Cows Stephen P. Hammack and Ronald J. Gill* *Extension Beef Cattle Specialist and Extension Live...

Hammack, Stephen P.; Gill, Ronald J.

2000-05-03T23:59:59.000Z

412

Factor Analysis for Skewed Data and Skew-Normal Maximum Likelihood Factor Analysis  

E-Print Network (OSTI)

. RESULTS OF LARGE SAMPLE SIMULATIONS OF THE SKEW-ELLIPTICAL FACTOR MODEL WITH SMALLISH KURTOSIS ? = 5 AND P = 5 DIMENSIONS AND K = 2 COMMON FACTORS 258 vii LIST OF FIGURES FIGURE Page 1.1 Skewed Observed Data... . . . . . . . . . . 85 5.4 Standardized Factor Loadings and Uniquenesses in Simulation . 86 5.5 90% Probability Interval for ??MOM . . . . . . . . . . . . . . . . 109 5.6 95% Probability Interval for ??MOM . . . . . . . . . . . . . . . . 110 5.7 Proportion of Samples...

Gaucher, Beverly Jane

2013-04-04T23:59:59.000Z

413

EcoFactor Inc | Open Energy Information  

Open Energy Info (EERE)

EcoFactor Inc EcoFactor Inc Jump to: navigation, search Name EcoFactor Inc Place Millbrae, California Zip 94030 Product California-based home energy management service provider. Coordinates 37.60276°, -122.395444° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.60276,"lon":-122.395444,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

414

Emission Factors (EMFAC) | Open Energy Information  

Open Energy Info (EERE)

Emission Factors (EMFAC) Emission Factors (EMFAC) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: EMFAC Agency/Company /Organization: California Environmental Protection Agency Sector: Energy Focus Area: Transportation Phase: Determine Baseline Topics: Baseline projection, GHG inventory Resource Type: Software/modeling tools, Online calculator User Interface: Spreadsheet Website: www.arb.ca.gov/msei/onroad/latest_version.htm Country: United States Cost: Free Northern America References: http://www.arb.ca.gov/msei/onroad/latest_version.htm The EMission FACtors (EMFAC) model is used to calculate emission rates from all motor vehicles, such as passenger cars to heavy-duty trucks, operating on highways, freeways and local roads in California. EMFAC2007 is the most recent version of this model.

415

miRNA as Bystander Effect Factor  

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

miRNA as Bystander Effect Factor miRNA as Bystander Effect Factor L. Smilenov Columbia University Abstract miRNA are 21-23 mer RNA molecules which are essential for organism development and cell functions. They regulate gene expression by binding to the 3’UTR of mRNA, inducing either mRNA degradation or mRNA silencing. The most characteristic properties of miRNA are their multi-targeting potential (one miRNA may target many genes). This high information content of miRNAs makes them very important factors in cell reprogramming. Since these are small molecules which can potentially pass through gap junctions, it is logical to consider their role in cell to cell communication. We hypothesized that miRNA transfer between cells is likely to occur under stress conditions. To test this hypothesis we developed a system designed

416

Non-observability of Spectroscopic Factors  

E-Print Network (OSTI)

The spectroscopic factor has long played a central role in nuclear reaction theory. However, it is not an observable. Consequently it is of minimal use as a meeting point between theory and experiment. In this paper the nature of the problem is explored. At the many-body level, unitary transformations are constructed that vary the spectroscopic factors over the full range of allowed values. At the phenomenological level, field redefinitions play a similar role and the spectroscopic factor extracted from experiment depend more on the assumed energy dependence of the potentials than on the measured cross-sections. The consistency conditions, gauge invariance and Wegmann's theorem play a large role in these considerations.

B. K. Jennings

2011-02-17T23:59:59.000Z

417

The Form Factors of the Nucleons  

SciTech Connect

There has been much activity in the measurement of the elastic electromagnetic proton and neutron form factors in the last decade, and the quality of the data has been greatly improved by performing double-polarization experiments, in comparison with with pre-vious unpolarized cross section data. Here we will review the experimental data base in view of the new results for the proton and the neutron, obtained at MIT-Bates, JLab and MAMI. The rapid evolution of phenomenological models triggered by these high- precision experiments will be discussed. In particular, the possibility that the proton is non-spherical in its ground state, and that the transverse charge density are model in- dependently defined in the infinite momentum frame. Likewise, flavor decomposition of the nucleon form factors into dressed u and d quark form factors, may give information about the quark-diquark structure of the nucleon. The current proton radius "crisis" will also be discussed.

Perdrisat, Charles F. [William and Mary College, JLAB

2013-11-01T23:59:59.000Z

418

Factorized soft graviton theorems at loop level  

E-Print Network (OSTI)

We analyze the low-energy behavior of scattering amplitudes involving gravitons at loop level in four dimensions. The single-graviton soft limit is controlled by soft operators which have been argued to separate into a factorized piece and a non-factorizing infrared divergent contribution. In this note we show that the soft operators responsible for the factorized contributions are strongly constrained by gauge and Poincare invariance under the assumption of a local structure. We show that the leading and subleading orders in the soft-momentum expansion can not receive radiative corrections. The first radiative correction occurs for the sub-subleading soft graviton operator and is one-loop exact. It depends on only two undetermined coefficients which should reflect the field content of the theory under consideration.

Broedel, Johannes; Plefka, Jan; Rosso, Matteo

2014-01-01T23:59:59.000Z

419

Can the scale factor be rippled?  

E-Print Network (OSTI)

We address an issue: would the cosmological scale factor be a locally oscillating quantity? This problem is examined in the framework of two classical 1+1-dimensional models: the first one is a string against a curved background, and the second one is an inhomogeneous Bianchi I model. For the string model, it is shown that there exist the gauge and the initial condition providing an oscillation of scale factor against a slowly evolving background, which is not affected by such an oscillation "at the mean". For the inhomogeneous Bianchi I model with the conformal time gauge, an initially homogeneous scale factor can become inhomogeneous and undergo the nonlinear oscillations. As is shown these nonlinear oscillations can be treated as a nonlinear gauge wave.

S. L. Cherkas; V. L. Kalashnikov

2012-06-26T23:59:59.000Z

420

Can the scale factor be rippled?  

E-Print Network (OSTI)

We address an issue: would the cosmological scale factor be a locally oscillating quantity? This problem is examined in the framework of two classical 1+1-dimensional models: the first one is a string against a curved background, and the second one is an inhomogeneous Bianchi I model. For the string model, it is shown that there exist the gauge and the initial condition providing an oscillation of scale factor against a slowly evolving background, which is not affected by such an oscillation "at the mean". For the inhomogeneous Bianchi I model with the conformal time gauge, an initially homogeneous scale factor can become inhomogeneous and undergo the nonlinear oscillations. As is shown these nonlinear oscillations can be treated as a nonlinear gauge wave.

Cherkas, S L

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "row factors single-family" 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

Installing a Subsurface Drip Irrigation System for Row Crops (Spanish)  

E-Print Network (OSTI)

retrolavados cuando est?n sucios, una condici?n que se indica con un aumento de presi?n de 10 psi. Los filtros de arena experimentan p?rdida de pre- si?n debido a la fricci?n dentro del filtro, siendo aproximadamente de 3 a 5 psi. La instalaci?n incor- recta...

Enciso, Juan

2004-09-07T23:59:59.000Z

422

Energy Conservation Analysis of Three-Row-Hole Hollow Blocks  

E-Print Network (OSTI)

Committee of Olympic Games examined the energy saving ability of 12 Olympics grounds. In the 11th Five-year plan of China, energy saving construction was listed. All these facts shows that the study and invention of new wall materials and the study...

Chen, G.; Li, H.; Liu, Z.

2006-01-01T23:59:59.000Z

423

THE WHOLESOMENESS OF' OYSTERS AS FOOD By Henry C. Rowe  

E-Print Network (OSTI)

before the Fourth International Fishery Congress held at Washington, U. S. A., September 22 to 26, )908 results by patient labor, costly experiments, and large investment. Instead of having his crops produced and protected for him, as has been done for the fishers of swimming fish, he has paid large sums to the states

424

Improving Data Center Efficiency with Rack or Row Cooling Devices...  

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

ECMs for Labs and Data Centers Energy Efficiency Opportunities in Federal High Performance Computing Data Centers Case Study: Innovative Energy Efficiency Approaches in NOAA's...

425

A Semidefinite Optimization Approach to the Parallel Row Ordering ...  

E-Print Network (OSTI)

Sep 15, 2014 ... Another way to get tight global bounds for (SRFLP) is the usage of SDP relaxations. SDP is the extension of LP to linear optimization over the ...

2014-09-15T23:59:59.000Z

426

Level: National and Regional Data; Row: Values of Shipments and...  

Annual Energy Outlook 2012 (EIA)

consumption of energy originally produced offsite, acquired as a result of a purchase or transfer and consumed onsite for the production of heat and power. This definition is...

427

Level: National and Regional Data; Row: Selected NAICS Codes...  

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

Btu. Wood Residues and Wood-Related Pulping Liquor Wood Byproducts and NAICS or Biomass Agricultural Harvested Directly from Mill Paper-Related Code(a) Subsector and...

428

A Polyhedral Approach to the Single Row Facility Layout Problem  

E-Print Network (OSTI)

These validity of these inequalities for MinLA was observed by Liu Van- nelli [19]. ..... [29] Torgerson, W.S.: Multidimensional scaling I: theory and method. Psy-.

2011-01-20T23:59:59.000Z

429

Installing a Subsurface Drip Irrigation System for Row Crops  

E-Print Network (OSTI)

This publication describes the components of a subsurface drip irrigation system and the procedure for installing such a system. Each step is outlined and illustrated. Steps include tape injection, trenching, connecting drip lines, back-filling...

Enciso, Juan

2004-09-07T23:59:59.000Z

430

A Polyhedral Study of Triplet Formulation for Single Row Facility ...  

E-Print Network (OSTI)

In this paper we conduct a polyhedral study ..... [1] S. S. Heragu, A. Kusiak, Machine layout problem in flexible manufacturing systems, Operations Re- search 36 ...

2010-04-01T23:59:59.000Z

431

The phase diagram of the staggered row model for magnetism  

E-Print Network (OSTI)

as in Eq. (2. 1). Let e, = ei+ A, (z r, ) + A?(11 r, ), (2 2) where z. y are the unit vectors in x and y directions, and 4? A?are variables to be determined by minimizing the energy. l denotes a given sublattice, . 4, B, or C. 6, and A?have the physical... Sp to Fi is second order. In Fig. 9, our numerical results are given for Hs vs. T. Near the transition line Hs ? w. 4. 2 AFq Phase In the . 4Ei phase, spin-C melts, and spin-A and spin-B have equal length but they are in opposite directions...

Zhang, Weimin

1991-01-01T23:59:59.000Z

432

miRNA as Bystander Effect Factor  

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

miRNA as Bystander Effect Factor miRNA as Bystander Effect Factor L. Smilenov 1 , M. Grad 2 , D. Attinger 2 and E.Hall 1 1 Center for Radiological Research, Columbia University 2 Department of Mechanical Engineering, Columbia University DOE Grant: DEPS0208ER0820 Abstract: miRNA are 21-23 mer RNA molecules which are essential for organism development and cell functions. They regulate gene expression by binding to the 3'UTR of mRNA, inducing either

433

Momentum compaction and phase slip factor  

SciTech Connect

Section 2.3.11 of the Handbook of Accelerator Physics and Engineering on Landau damping is updated. The slip factor and its higher orders are given in terms of the various orders of the momentum compaction. With the aid of a simplified FODO lattice, formulas are given for the alteration of the lower orders of the momentum compaction by various higher multipole magnets. The transition to isochronicity is next demonstrated. Formulas are given for the extraction of the first three orders of the slip factor from the measurement of the synchrotron tune while changing the rf frequency. Finally bunch-length compression experiments in semi-isochronous rings are reported.

Ng, K.Y.; /Fermilab

2010-10-01T23:59:59.000Z

434

Resistance Transfer Factors in sensitive strains ofS. panama  

Science Journals Connector (OSTI)

Two natural strains ofS.panama with an incomplete Resistance Factor (R factor) are described:S.panama I carries a Resistance Transfer Factor (RTF) exerting restriction on phageS.panama 47, but no resistance deter...

P. A. M. Guinée; H. M. C. C. Willems

1967-01-01T23:59:59.000Z

435

Regulatory factors for the assembly of thylakoid membrane protein complexes  

Science Journals Connector (OSTI)

...light and its conversion into chemical energy in oxygenic...known regulatory factors are conserved...Regulatory factors for the assembly...light and its conversion into chemical energy in oxygenic...known regulatory factors are conserved...

2012-01-01T23:59:59.000Z

436

Sparse Householder QR Factorization on a Mesh Ram'on Doallo, Juan Touri~no Emilio L. Zapata  

E-Print Network (OSTI)

is in the various applications it has in linear algebra, such as eigenvalue calculation and the least squares of the last A­B rows of this matrix are zero. The parallel algorithm has been programmed for Fujitsu's AP1000 or cells (SPARC processors) and three inde­ pendent communication networks: the torus network (T­net

Touriño, Juan

437

From Saudi Arabia to Venezuela: Energy Resources, Market Factors & ConflictsEnergy Resources, Market Factors & Conflicts  

E-Print Network (OSTI)

From Saudi Arabia to Venezuela: Energy Resources, Market Factors & ConflictsEnergy Resources, Market Factors & Conflicts Dr. Tom O'Donnell Friday, 12:00 ­ 2:48 PM Room 125, Mendenhall Laboratory (Brazil, Russia, India and China) will end U.S. supremacy in the dollar based oil market? Lastly, we

O'Donnell, Tom

438

In Search of a Statistically Valid Volatility Risk Factor  

E-Print Network (OSTI)

The cross- section of volatility and expected returns, Theof a Statistically Valid Volatility Risk Factor (revised)of a Statistically Valid Volatility Risk Factor Robert M.

Anderson, Robert M.; Bianchi, Stephen W.; Goldberg, Lisa R.

2013-01-01T23:59:59.000Z

439

Patterns in Trash: Factors that Drive Municipal Solid Waste Recycling.  

E-Print Network (OSTI)

??Municipal recycling is driven by a variety of factors. Yet how these factors change over time is not well understood. I analyze a suite of… (more)

Starr, Jared

2014-01-01T23:59:59.000Z

440

Module: Emission Factors for Deforestation | Open Energy Information  

Open Energy Info (EERE)

Website: www.leafasia.orgtoolstechnical-guidance-series-emission-factors-defo Cost: Free Language: English Module: Emission Factors for Deforestation Screenshot Logo: Module:...

Note: This page contains sample records for the topic "row factors single-family" 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

Traffic culture human factors & traffic safety  

E-Print Network (OSTI)

Traffic culture human factors & traffic safety by Dr.-Ing. Haraldur Sigþórsson and Dr.-Ing. Stefán) Culture, traffic culture and traffic safety culture are interrelated Culture www.hr.is 3 Traffic Culture Traffic safety culture What is culture? · A culture is a collection of behavioral patterns that are found

Karlsson, Brynjar

442

DYNAMIC INTERACTION FACTORS FOR FLOATING PILE GROUPS  

E-Print Network (OSTI)

-numerical formulation for two ideal- ized soil profiles (a homogeneous half-space and a half-space with modulus pro interaction factors for static deformation analysis of pile groups. INTRODUCTION Under static working loads) the sharing among individual piles of the load applied at the pile cap is generally uneven, with the corner

Entekhabi, Dara

443

Factorizations of Operator Matrices Lawrence A. Harris  

E-Print Network (OSTI)

Factorizations of Operator Matrices Lawrence A. Harris Mathematics Department University matrix as a product of an upper triangular operator matrix and an involutory, unitary or J- unitary L(H, K) and (A - WC)-1 exists; moreover, S = T-1 . Theorem 1 Put R = -(A - W0C) AZ0 + W0D 0 CZ0 + D

Harris, Larry

444

Cloud Controlling Factors --Low Clouds BJORN STEVENS,  

E-Print Network (OSTI)

Cloud Controlling Factors -- Low Clouds BJORN STEVENS, Department of Atmospheric and Oceanic conspire to determine the statistics and cli- matology of layers of shallow (boundary layer) clouds of low-cloud control- ling processes are offered: these include renewing our focus on theory, model

Stevens, Bjorn

445

Factors Affecting PMU Installation Costs (October 2014)  

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

The Department of Energy investigated the major cost factors that affected PMU installation costs for the synchrophasor projects funded through the Recovery Act Smart Grid Programs. The data was compiled through interviews with the nine projects that deployed production grade synchrophasor systems.

446

Impact Factors of Energy Intensity in China  

E-Print Network (OSTI)

Energy intensity reflects energy usage efficiency in the production and consumption process, and leads to carbon dioxide emissions and the energy security of an economy. Liao et al. (2007) analyzed factors contribute to the fluctuation of China’s energy intensity from 1997 to 2006, and found that efficiency effects and structural effects are the major impacting factors. Therefore, they suggested that China should attach more importance to optimizing its sectoral structure, and lowering its investment ratio in the future. However, economic development and energy intensity are influenced by many factors. In their research, Liao et al. (2007) omitted some important contributing factors to energy intensities, and their suggestions also had some practical limitations. First of all, Liao et al. (2007) did not analyze impacts from energy prices in energy usage efficiency. In the existing literature, Birol and Keppler (2000) applied economics theory and suggested that higher energy prices can induce the improvements in energy usage efficiency, thereby lowering energy intensity. Hang and Tu (2007) studied the influence of energy price on the Chinese economy's energy intensity and their empirical results also showed that higher energy prices can lower energy intensity. Because energy prices have been regulated by the

unknown authors

447

Scatter factors assessment in microbeam radiation therapy  

SciTech Connect

Purpose: The success of the preclinical studies in Microbeam Radiation Therapy (MRT) paved the way to the clinical trials under preparation at the Biomedical Beamline of the European Synchrotron Radiation Facility. Within this framework, an accurate determination of the deposited dose is crucial. With that aim, the scatter factors, which translate the absolute dose measured in reference conditions (2 x 2 cm{sup 2} field size at 2 cm-depth in water) to peak doses, were assessed. Methods: Monte Carlo (MC) simulations were performed with two different widely used codes, PENELOPE and GEANT4, for the sake of safety. The scatter factors were obtained as the ratio of the doses that are deposited by a microbeam and by a field of reference size, at the reference depth. The calculated values were compared with the experimental data obtained by radiochromic (ISP HD-810) films and a PTW 34070 large area chamber. Results: The scatter factors for different microbeam field sizes assessed by the two MC codes were in agreement and reproduced the experimental data within uncertainty bars. Those correction factors were shown to be non-negligible for the future MRT clinical settings: an average 30% lower dose was deposited by a 50 {mu}m microbeam with respect to the reference conditions. Conclusions: For the first time, the scatter factors in MRT were systematically studied. They constitute an essential key to deposit accurate doses in the forthcoming clinical trials in MRT. The good agreement between the different calculations and the experimental data confirms the reliability of this challenging micrometric dose estimation.

Prezado, Y.; Martinez-Rovira, I.; Sanchez, M. [Laboratoire Imagerie et Modelisation en Neurobiologie et Cancerologie IMNC-UMR 8165, Centre National de la Recherche Scientifique (CNRS), Campus Universitaire, Bat. 440, 15 rue Georges Clemenceau, 91406 Orsay Cedex (France); Institut de Tecniques Energetiques, Universitat Politecnica de Catalunya, Diagonal 647, E-08028 Barcelona (Spain) and ID17 Biomedical Beamline, European Synchrotron Radiation Facility (ESRF), 6 Rue Jules Horowitz, B.P. 220, 38043 Grenoble Cedex (France); Servicio de Radiofisica, Complejo Hospitalario de Santiago de Compostela, Rua Choupana S/N, 15706 Santiago de Compostela (Spain)

2012-03-15T23:59:59.000Z

448

FCV Learning Demonstration: Factors Affecting Fuel Cell Degradation (Presentation)  

SciTech Connect

Presentation on factors affecting fuel cell degradation in the DOE Fuel Cell Vehicle learning demonstation.

Kurtz, J.; Wipke, K.; Sprik, S.

2007-11-15T23:59:59.000Z

449

Transcription factor-based biosensors for detecting dicarboxylic acids  

DOE Patents (OSTI)

The invention provides methods and compositions for detecting dicarboxylic acids using a transcription factor biosensor.

Dietrich, Jeffrey; Keasling, Jay

2014-02-18T23:59:59.000Z

450

Using Two-Factor RSA Token  

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

Using Two-Factor RSA Token Using Two-Factor RSA Token with VPN User Guide November 2013 Using Your RSA token with WebVPN 1. Establish a connection to the Internet and connect to https://connect.doe.gov 2. Users who are using their RSA Token for the first time should follow the steps below for PIN creation. Others who have already set up their PIN and used their RSA token previously should enter their six digit numeric username and passcode; this is the PIN + the RSA token code. The result of this successful login will be Step 8 below. 3. A login page similar to the picture below will be displayed. Enter your VPN Username (six-digit numeric ID) and your Password by typing your generated RSA Token code and then click the Login button. Example; your generated RSA token code is 032848 (from above). In the Password box, you will enter

451

Factorization in B ---> V gamma decays  

SciTech Connect

The factorization properties of the radiative decays B {yields} V{gamma} are analyzed at leading order in 1/m{sub b} using the soft-collinear effective theory. It is shown that the decay amplitudes can be expressed in terms of a B {yields} V form factor evaluated at q{sup 2} = 0, light-cone distribution amplitudes of the B and V mesons, and calculable hard-scattering kernels. The renormalization-group equations in the effective theory are solved to resum perturbative logarithms of the different scales in the decay process. Phenomenological implications for the B {yields} K*{gamma} branching ratio, isospin asymmetry, and CP asymmetries are discussed, with particular emphasis on possible effects from physics beyond the Standard Model.

Becher, Thomas; /Fermilab; Hill, Richard J.; /SLAC; Neubert, Matthias; /Cornell U., LEPP

2005-03-01T23:59:59.000Z

452

Unified description of kaon electroweak form factors  

SciTech Connect

A calculation of the semileptonic decays of the kaon (K{sub l3}) is presented. The results are direct predictions of a covariant model of the pion and kaon introduced earlier by Ito, Buck, Gross. The weak form factors for K{sub l3} are predicted with absolutely no parameter adjustments of the model. The authors obtained for the form factor parameters: f{sub {minus}}(q{sup 2}=m{sub l}{sup 2})/f{sub +}(q{sup 2}=m{sub l}{sup 2})={minus}0.28 and {lambda}{sub +}= 0.028, both within experimental error bars. Connections of this approach to heavy quark symmetry will also be discussed.

A. Afanasev; W. Buck

1996-06-01T23:59:59.000Z

453

Factorization in B to V gamma Decays  

SciTech Connect

The factorization properties of the radiative decays B {yields} V{gamma} are analyzed at leading order in 1/mb using the soft-collinear effective theory. It is shown that the decay amplitudes can be expressed in terms of a B {yields} V form factor evaluated at q{sup 2} = 0, light-cone distribution amplitudes of the B and V mesons, and calculable hard-scattering kernels. The renormalization-group equations in the effective theory are solved to resume perturbative logarithms of the different scales in the decay process. Phenomenological implications for the B {yields} K*{gamma} branching ratio, isospin asymmetry, and CP asymmetries are discussed, with particular emphasis on possible effects from physics beyond the Standard Model.

Becher, T

2005-03-28T23:59:59.000Z

454

Growth factor parametrization in curved space  

SciTech Connect

The growth rate of matter perturbation and the expansion rate of the Universe can be used to distinguish modified gravity and dark energy models in explaining cosmic acceleration. We explore here the inclusion of spatial curvature into the growth factor. We expand previous results using the approximation {omega}{sub m}{sup {gamma}} and then suggest a new form, f{sub a}={omega}{sub m}{sup {gamma}}+({gamma}-4/7){omega}{sub k}, as an approximation for the growth factor when the curvature {omega}{sub k} is not negligible, and where the growth index {gamma} is usually model dependent. The expression recovers the standard results for the curved and flat {lambda}CDM and Dvali-Gabadadze-Porrati models. Using the best fit values of {omega}{sub m0} and {omega}{sub k0} to the expansion/distance measurements from Type Ia SNe, baryon acoustic oscillation, WMAP5, and H(z) data, we fit the growth index parameter to current growth factor data and obtain {gamma}{sub {lambda}}({omega}{sub k}{ne}0)=0.65{sub -0.15}{sup +0.17} and {gamma}{sub DGP}({omega}{sub k}{ne}0)=0.53{sub -0.12}{sup +0.14}. For the {lambda}CDM model, the 1-{sigma} observational bounds are found consistent with theoretical value, unlike the case for the Dvali-Gabadadze-Porrati model. We also find that the current data we used is not enough to put significant constraints when the 3 parameters in f{sub a} are fit simultaneously. Importantly, we find that, in the presence of curvature, the analytical expression proposed for f{sub a} provides a better fit to the growth factor than other forms and should be useful for future high precision missions and studies.

Gong Yungui; Ishak, Mustapha; Wang Anzhong [College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Chongqing 400065 (China) and Kavli Institute for Theoretical Physics China, CAS, Beijing 100190 (China); Department of Physics, University of Texas at Dallas, Richardson, Texas 75083 (United States); CASPER, Physics Department, Baylor University, Waco, Texas 76798 (United States)

2009-07-15T23:59:59.000Z

455

On form factors and Macdonald polynomials  

E-Print Network (OSTI)

We are developing the algebraic construction for form factors of local operators in the sinh-Gordon theory proposed in [B.Feigin, M.Lashkeivch, 2008]. We show that the operators corresponding to the null vectors in this construction are given by the degenerate Macdonald polynomials with rectangular partitions and the parameters $t=-q$ on the unit circle. We obtain an integral representation for the null vectors and discuss its simple applications.

Lashkevich, Michael

2013-01-01T23:59:59.000Z

456

On form factors and Macdonald polynomials  

E-Print Network (OSTI)

We are developing the algebraic construction for form factors of local operators in the sinh-Gordon theory proposed in [B.Feigin, M.Lashkeivch, 2008]. We show that the operators corresponding to the null vectors in this construction are given by the degenerate Macdonald polynomials with rectangular partitions and the parameters $t=-q$ on the unit circle. We obtain an integral representation for the null vectors and discuss its simple applications.

Michael Lashkevich; Yaroslav Pugai

2014-12-23T23:59:59.000Z

457

Nominal Performance Biosphere Dose Conversion Factor Analysis  

SciTech Connect

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states considered in the TSPA-LA as well as conversion factors for evaluating compliance with the groundwater protection standard. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle activity in groundwater and the annual dose from drinking water for beta- and photon-emitting radionuclides. Another objective of this analysis was to re-qualify the output of the previous revision (BSC 2003 [DIRS 164403]).

M. Wasiolek

2004-09-08T23:59:59.000Z

458

Synergistic induction of phospholipid metabolism by granulocyte-macrophage colony stimulating factor and steel factor in human growth factor-dependent cell line, M07e  

Science Journals Connector (OSTI)

Steel factor (SLF), the ligand for the c-kit ... this phenomenon, we examined the effects of SLF and granulocyte-macrophage colony-stimulating factor (GM ... . We find that both GM-CSF and SLF induced increased p...

C. Mantel; Z. Luo; H. E. Broxmeyer

1995-07-01T23:59:59.000Z

459

Nominal Performance Biosphere Dose Conversion Factor Analysis  

SciTech Connect

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standards. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis'' (Figure 1-1). The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states (present day, monsoon, and glacial transition) considered in the TSPA-LA, as well as conversion factors for compliance evaluation with the groundwater protection standards. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle activity in groundwater and the annual dose from drinking water for beta- and photon-emitting radionuclides.

M.A. Wasiolek

2005-04-28T23:59:59.000Z

460

Embeddings and factorizations of Banach spaces  

E-Print Network (OSTI)

argument works in our context. 29 CHAPTER IV OPERATORS WHICH FACTOR THROUGH lscriptP OR c0 A. Introduction In [12], W. B. Johnson answered the following question about the relation between the structure of Lp and lscriptp. Question IV.A.1. Give a Banach... space condition so that if X is a subspace of Lp (1 < p < 2) which satisfies the condition, then X embeds isomorphically into lscriptp. The equivalent dual question would be: Question IV.A.2. Give a Banach space condition so that if X is a quotient of Lp...

Zheng, Bentuo

2009-05-15T23:59:59.000Z

Note: This page contains sample records for the topic "row factors single-family" 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

Local-field factors in cubic crystals  

Science Journals Connector (OSTI)

The local-field factors at an atomic site are calculated in the electric-dipole approximation for monatomic and diatomic cubic lattices. Their symmetry relations are deduced from thermodynamics, and an explicit computation as a function of the electronic delocalization is performed in several usual cases within the linear-screening approximation. Then the effective field undergone by an elementary excitation of the crystal (phonon, exciton) is investigated. A comparison is made with Hopfield's model concerning Frenkel's excitons, and with the Born and Huang theory of the infrared dielectric properties of ionic crystals.

R. Bonneville

1980-01-15T23:59:59.000Z

462

Neutron electric form factor via recoil polarimetry  

SciTech Connect

The ratio of the electric to the magnetic form factor of the neutron, G_En/G_Mn, was measured via recoil polarimetry from the quasielastic d({pol-e},e'{pol-n)p reaction at three values of Q^2 [viz., 0.45, 1.15 and 1.47 (GeV/c)^2] in Hall C of the Thomas Jefferson National Accelerator Facility. Preliminary data indicate that G_En follows the Galster parameterization up to Q^2 = 1.15 (GeV/c)^2 and appears to rise above the Galster parameterization at Q^2 = 1.47 (GeV/c)^2.

Richard Madey; Andrei Semenov; Simon Taylor; Aram Aghalaryan; Erick Crouse; Glen MacLachlan; Bradley Plaster; Shigeyuki Tajima; William Tireman; Chenyu Yan; Abdellah Ahmidouch; Brian Anderson; Razmik Asaturyan; O. Baker; Alan Baldwin; Herbert Breuer; Roger Carlini; Michael Christy; Steve Churchwell; Leon Cole; Samuel Danagoulian; Donal Day; Mostafa Elaasar; Rolf Ent; Manouchehr Farkhondeh; Howard Fenker; John Finn; Liping Gan; Kenneth Garrow; Paul Gueye; Calvin Howell; Bitao Hu; Mark Jones; James Kelly; Cynthia Keppel; Mahbubul Khandaker; Wooyoung Kim; Stanley Kowalski; Allison Lung; David Mack; D. Manley; Pete Markowitz; Joseph Mitchell; Hamlet Mkrtchyan; Allena Opper; Charles Perdrisat; Vina Punjabi; Brian Raue; Tilmann Reichelt; Joerg Reinhold; Julie Roche; Yoshinori Sato; Wonick Seo; Neven Simicevic; Gregory Smith; Samuel Stepanyan; Vardan Tadevosyan; Liguang Tang; Paul Ulmer; William Vulcan; John Watson; Steven Wells; Frank Wesselmann; Stephen Wood; Chen Yan; Seunghoon Yang; Lulin Yuan; Wei-Ming Zhang; Hong Guo Zhu; Xiaofeng Zhu

2003-05-01T23:59:59.000Z

463

Factors for design of dips for roadways  

E-Print Network (OSTI)

limit is sub]ect to mot1on which may cause considerable discomfort to be experienced by the oocupants. If a dip is particularly critical, the vehicle may even incur damages. The most important consideration, however, 1s the fact that the driver may... lose control of the vehicle momentarily and be involved in a traffic accident. These three factors indicate the need for all dips in roadways to be nrop- erly designed, whether they are to be temporary or oermanent. The use of dips as speed checks...

McCasland, William Richard

2012-06-07T23:59:59.000Z

464

Resources required for topological quantum factoring  

SciTech Connect

We consider a hypothetical topological quantum computer composed of either Ising or Fibonacci anyons. For each case, we calculate the time and number of qubits (space) necessary to execute the most computationally expensive step of Shor's algorithm, modular exponentiation. For Ising anyons, we apply Bravyi's distillation method [S. Bravyi, Phys. Rev. A 73, 042313 (2006)] which combines topological and nontopological operations to allow for universal quantum computation. With reasonable restrictions on the physical parameters we find that factoring a 128-bit number requires approximately 10{sup 3} Fibonacci anyons versus at least 3x10{sup 9} Ising anyons. Other distillation algorithms could reduce the resources for Ising anyons substantially.

Baraban, M. [Department of Physics, Yale University, 217 Prospect Street, New Haven, Connecticut 06511 (United States); Bonesteel, N. E. [Department of Physics and National High Magnetic Field Laboratory, Florida State University, Tallahassee, Florida 32310 (United States); Simon, S. H. [Rudolf Peierls Centre for Theoretical Physics, Oxford University, 1 Keble Road, Oxford OX1 3NP (United Kingdom)

2010-06-15T23:59:59.000Z

465

Axial nucleon form factors from lattice QCD  

SciTech Connect

We present results on the nucleon axial form factors within lattice QCD using two flavors of degenerate twisted mass fermions. Volume effects are examined using simulations at two volumes of spatial length L=2.1 fm and L=2.8 fm. Cut-off effects are investigated using three different values of the lattice spacings, namely a=0.089 fm, a=0.070 fm and a=0.056 fm. The nucleon axial charge is obtained in the continuum limit and chirally extrapolated to the physical pion mass enabling comparison with experiment.

Alexandrou, C. [Department of Physics, University of Cyprus, P.O. Box 20537, 1678 Nicosia (Cyprus); Computation-based Science and Technology Research Center, Cyprus Institute, 20 Kavafi Str., Nicosia 2121 (Cyprus); Brinet, M.; Carbonell, J.; Harraud, P. A.; Papinutto, M. [Laboratoire de Physique Subatomique et Cosmologie, UJF/CNRS/IN2P3, 53 avenue des Martyrs, 38026 Grenoble (France); Constantinou, M. [Department of Physics, University of Cyprus, P.O. Box 20537, 1678 Nicosia (Cyprus); Guichon, P. [CEA-Saclay, IRFU/Service de Physique Nucleaire, 91191 Gif-sur-Yvette (France); Jansen, K. [NIC, DESY, Platanenallee 6, D-15738 Zeuthen (Germany); Korzec, T. [Department of Physics, University of Cyprus, P.O. Box 20537, 1678 Nicosia (Cyprus); Institut fuer Physik Humboldt Universitaet zu Berlin, Newtonstrasse 15, 12489 Berlin (Germany)

2011-02-15T23:59:59.000Z

466

Survey of nucleon electromagnetic form factors  

SciTech Connect

There has been much activity in the measurement of the elastic electromagnetic proton and neutron form factors in the last decade, and the quality of the data has been greatly improved by performing double polarization experiments, in compar- ison with previous unpolarized data. Here we review the experimental data base in view of the new results for the proton, and neutron, obtained at MIT-Bates, MAMI, and JLab. The rapid evolution of phenomenological models triggered by these high-precision experiments will be discussed.

Perdrisat, Charles F. [William and Mary College; Punjabi, Vina A. [Norfolk State U.

2011-09-20T23:59:59.000Z

467

Unit Conversion Factors Quantity Equivalent Values  

E-Print Network (OSTI)

Unit Conversion Factors Quantity Equivalent Values Mass 1 kg = 1000 g = 0.001 metric ton = 2.921 inHg at 0 C Energy 1 J = 1 N·m = 107 ergs = 107 dyne·cm = 2.778�10-7 kW·h 1 J = 0.23901 cal = 0·R 10.73 psia·ft3 lbmol·R 62.36 liter·torr mol·K 0.7302 ft3·atm lbmol·R Temperature Conversions: T

Ashurst, W. Robert

468

Factors influencing food intake of Hispanic children  

Science Journals Connector (OSTI)

The diets of Hispanic children are high in fat and low in fruits and vegetables, which may contribute to their high rates of obesity. Research has revealed that environmental factors, such as household structure, family attitudes towards food and the social context of food messages influence children's food intake. Ethnicity or level of acculturation in Hispanic families may moderate these relationships, but additional research is needed to more fully understand the effects of the process of acculturation on children's diets. More importantly, intervention research is needed to develop and implement programs that may be used to shape public health practice and policies.

Donna Matheson

2008-01-01T23:59:59.000Z

469

Prime number generation and factor elimination  

E-Print Network (OSTI)

We have presented a multivariate polynomial function termed as factor elimination function,by which, we can generate prime numbers. This function's mapping behavior can explain the irregularities in the occurrence of prime numbers on the number line. Generally the different categories of prime numbers found till date, satisfy the form of this function. We present some absolute and probabilistic conditions for the primality of the number generated by this method. This function is capable of leading to highly efficient algorithms for generating prime numbers.

Vineet Kumar

2014-10-06T23:59:59.000Z

470

EVALUATING NATIONAL ENVIRONMENTAL SUSTAINABILITY: PERFORMANCE MEASURES AND INFLUENTIAL FACTORS FOR  

E-Print Network (OSTI)

EVALUATING NATIONAL ENVIRONMENTAL SUSTAINABILITY: PERFORMANCE MEASURES AND INFLUENTIAL FACTORS Environmental Sustainability: Performance Measures and Influential Factors for OECD-Member Countries featuring reviews five studies that evaluate national environmental sustainability with composite indices; performs

471

Article Published on LED Lumen Maintenance and Light Loss Factors...  

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

Article Published on LED Lumen Maintenance and Light Loss Factors Article Published on LED Lumen Maintenance and Light Loss Factors January 20, 2014 - 12:00am Addthis An article...

472

Safety Science & Solutions Integrating Human Factors in Healthcare  

E-Print Network (OSTI)

Safety Science & Solutions Integrating Human Factors in Healthcare Tuesday 2nd December 2014 safety, quality and productivity in healthcare. Showcasing enduring solutions to patient safety recognised speakers in patient safety including: Martin Bromiley, Founder, Clinical Human Factors Group Dr

Levi, Ran

473

Identification and Control of Factors that Affect EGR Cooler Fouling  

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

Key factors that cause exhaust gas recirculation cooler fouling were identified through extensive literature search and controlled experiment was devised to study the impact of a few key factors on deposition.

474

Factors affecting emergence and seedling vigor of kleingrass and Yuchi arrowleaf clover  

E-Print Network (OSTI)

cm depth was low and out of line wiith 13 Table 3. Emergence of seedlings of 4 kleingrass genotypes as a function of planting depth. Dep th planting (mm) Number of seedlin s/4 meter row Genot es Average Al A A4 35 days after planting 20.... 'on =: coors p'actino deoths, . '1om er seed'in=a 70 da;;s after "-'an-'in 17 reduced even at 40 mm planting depth f'oz all seed sizes, Figures 3 and 4. The differences in seedling number were as great or greater at 20 mm planting depth as at 80...

Belkhiria, Mohsen Taoufik

2012-06-07T23:59:59.000Z

475

Extended correlations of porosity, permeability, and formation resistivity factor  

E-Print Network (OSTI)

, and the second is an empirically established correlation between the individual parameters. Although the two relationships are of the same form, the empirical form permits an independent detezmination of characterizing factors that appear in the rela..., and the characterizing factors for several formations have been calculated. These characterizing factors may have some merit for characterizing formations in general. Methods are also suggested for estimating these factors when limited data is available...

Ellis, Keith Wade

1987-01-01T23:59:59.000Z

476

Uranium Monochalcogenides: Magnetic Form Factor and Magnetic Neutron Scattering  

Science Journals Connector (OSTI)

Fig. R.66. UY. (A) Magnetic form factor. The radial ?j i? integrals, which contribute to the neutron magnetic fo...

R. Tro?

2009-01-01T23:59:59.000Z

477

Environmental factors influencing methanogenesis from refuse in landfill samples  

Science Journals Connector (OSTI)

Environmental factors influencing methanogenesis from refuse in landfill samples ... Biodegradability of Municipal Solid Waste Components in Laboratory-Scale Landfills ...

K. Rao Gurijala; Joseph M. Suflita

1993-06-01T23:59:59.000Z

478

hourly emission factors | OpenEI  

Open Energy Info (EERE)

60 60 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278660 Varnish cache server hourly emission factors Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago)

479

Disruptive Event Biosphere Dose Conversion Factor Analysis  

SciTech Connect

This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2004 [DIRS 169671]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis''. The objective of this analysis was to develop the BDCFs for the volcanic ash exposure scenario and the dose factors for calculating inhalation doses during volcanic eruption (eruption phase of the volcanic event). For the volcanic ash exposure scenario, the mode of radionuclide release into the biosphere is a volcanic eruption through the repository with the resulting entrainment of contaminated waste in the tephra and the subsequent atmospheric transport and dispersion of contaminated material in the biosphere. The biosphere process model for this scenario uses the surface deposition of contaminated ash as the source of radionuclides in the biosphere. The initial atmospheric transport and dispersion of the ash as well as its subsequent redistribution by fluvial and aeolian processes are not addressed within the biosphere model. These processes influence the value of the source term that is calculated elsewhere and then combined with the BDCFs in the TSPA model to calculate expected dose to the receptor. Another objective of this analysis was to re-qualify the output of the previous revision (BSC 2003 [DIRS 163958]).

M. Wasiolek

2004-09-08T23:59:59.000Z

480

Local algorithms for the prime factorization of strong product graphs  

E-Print Network (OSTI)

Local algorithms for the prime factorization of strong product graphs Marc Hellmuth, Wilfried factorization algorithms is limited in practise by unavoidable noise in the data. A first step towards error-tolerant "approximate" prime factorization, is the development of local approaches that cover the graph by factorizable

Stadler, Peter F.

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481

Penetration Factor for Nuclear Fusion Reaction in Nonthermal Astrophysical Plasmas  

Science Journals Connector (OSTI)

......enhances the fusion penetration factor. In addition...nonthermal effect on the penetration factor is found to be...the fusion reaction rates of the - chain and the...effect on the fusion penetration factor decreases with...the energy generation rate (Choudhuri 2010) by......

Dai-Han Ki; Young-Dae Jung

2011-02-25T23:59:59.000Z

482

REALIZING TWO-FACTOR AUTHENTICATION FOR THE BITCOIN PROTOCOL  

E-Print Network (OSTI)

REALIZING TWO-FACTOR AUTHENTICATION FOR THE BITCOIN PROTOCOL Christopher Mann and Daniel Loebenberger 15 August 2014 Abstract. We show how to realize two-factor authentication for a Bitcoin wal- let a prototypic implementation of a Bitcoin wallet that offers both: two-factor authentication and verification

483

Nuclear Factor-?B and Tumor-Associated Macrophages  

Science Journals Connector (OSTI)

...but recent research has highlighted...and function. Nuclear factor-kappaB...transcriptional programs (20). NF-kappaB...transcriptional program expressed by...et al. p50 nuclear factor-kappaB...but recent research has highlighted...and function. Nuclear factor-kappaB...

Alessandra Mancino and Toby Lawrence

2010-02-01T23:59:59.000Z

484

UPDATE AND ENHANCEMENT OF ODOT'S CRASH REDUCTION FACTORS  

E-Print Network (OSTI)

A Printed on recycled paper #12;ii SI* (MODERN METRIC) CONVERSION FACTORS APPROXIMATE CONVERSIONS TO SIUPDATE AND ENHANCEMENT OF ODOT'S CRASH REDUCTION FACTORS Final Report SPR 612 by Christopher M and Enhancement of ODOT's Crash Reduction Factors 6. Performing Organization Code 7. Author(s) Christopher M

Bertini, Robert L.

485

A Generalized Finite Source Calibration Factor: A Natural Improvement to the Finite Source Correction Factor for Uranium Holdup Measurements  

SciTech Connect

This paper proposes refinements to the finite source correction factor used in holdup measurements. Specifically it focuses on a more general method to estimate the average detector response for a finite source. This proposed method for the average detector response is based directly on the Generalized Geometry Holdup (GGH) assay method. First, the finite source correction factor as originally proposed is reviewed in this paper. Following this review the GGH assay method is described. Lastly, a new finite area calibration factor based on GGH is then proposed for finite point and line sources. As an alternative to the direct use of the finite arca calibration factor, finite source correction factors are also derived from this calibration factor. This new correction factor can be used in a manner similar to the finite source correction factor as currently implemented.

Gunn, C.A.; Oberer, R.B.; chiang, L.G.; Ceo, R.N.

2003-01-28T23:59:59.000Z

486

S:\\VM3\\RX97\\TBL_LIST.WPD  

Gasoline and Diesel Fuel Update (EIA)

b. Household Characteristics by Four Most Populated States, Percent of U.S. Households, 1997 Household Characteristics RSE Column Factor: Total Four Most Populated States RSE Row...

487

Voluntary Reporting of Greenhouse Gases Program - Electricity Factors  

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

Voluntary Reporting Program > Coefficients Voluntary Reporting Program > Coefficients Voluntary Reporting of Greenhouse Gases Program (Voluntary Reporting of Greenhouse Gases Program Fuel Carbon Dioxide Emission Coefficients) Voluntary Reporting of Greenhouse Gases Program Fuel Emission Coefficients Table 1: Carbon Dioxide Emission Factors for Stationary Combustion Table 2: Carbon Dioxide Emission Factors for Transportation Fuels Table 3: Generic Methane and Nitrous Oxide Emission Factors for Stationary Fuel Combustion Table 4: Specific Methane and Nitrous Oxide Emission Factors for Biogenic Fuel Sources Table 5: Methane and Nitrous Oxide Emissions Factors for Highway Vehicles Table 6: Methane and Nitrous Oxide Emission Factors for Alternative Fuel Vehicles Table 7: Methane and Nitrous Oxide Emission Factors for Non-Highway Mobile Combustion

488

Quantifier elimination for approximate Beals-Kartashova factorization  

E-Print Network (OSTI)

The only known constructive factorization algorithm for linear partial differential operators (LPDOs) is Beals-Kartashova (BK) factorization \\cite{bk2005}. One of the most interesting features of BK-factorization: at the beginning all the first-order factors are constructed and afterwards the factorization condition(s) should be checked. This leads to the important application area - namely, numerical simulations which could be simplified substantially if instead of computation with one LPDE of order $n$ we will be able to proceed computations with $n$ LPDEs all of order 1. In numerical simulations it is not necessary to fulfill factorization conditions exactly but with some given accuracy, which we call approximate factorization. The idea of the present paper is to look into the feasibility of solving problems of this kind using quantifier elinination by cylindrical algebraic decomposition.

Elena Kartashova; Scott McCallum

2007-01-07T23:59:59.000Z

489

Simple analytic model for astrophysical S factors  

SciTech Connect

We propose a physically transparent analytic model of astrophysical S factors as a function of a center-of-mass energy E of colliding nuclei (below and above the Coulomb barrier) for nonresonant fusion reactions. For any given reaction, the S(E) model contains four parameters [two of which approximate the barrier potential, U(r)]. They are easily interpolated along many reactions involving isotopes of the same elements; they give accurate practical expressions for S(E) with only several input parameters for many reactions. The model reproduces the suppression of S(E) at low energies (of astrophysical importance) due to the shape of the low-r wing of U(r). The model can be used to reconstruct U(r) from computed or measured S(E). For illustration, we parametrize our recent calculations of S(E) (using the Sao Paulo potential and the barrier penetration formalism) for 946 reactions involving stable and unstable isotopes of C, O, Ne, and Mg (with nine parameters for all reactions involving many isotopes of the same elements, e.g., C+O). In addition, we analyze astrophysically important {sup 12}C+{sup 12}C reaction, compare theoretical models with experimental data, and discuss the problem of interpolating reliably known S(E) values to low energies (E < or approx. 2-3 MeV).

Yakovlev, D. G.; Beard, M.; Gasques, L. R.; Wiescher, M. [Ioffe Physical Technical Institute, Poliekhnicheskaya 26, 194021 St. Petersburg (Russian Federation); Department of Physics and The Joint Institute for Nuclear Astrophysics, University of Notre Dame, Notre Dame, Indiana 46556 (United States); Laboratorio Pelletron, Instituto de Fisica da Universidade de Sao Paulo, 05315-970, Sao Paulo, SP (Brazil); Department of Physics and The Joint Institute for Nuclear Astrophysics, University of Notre Dame, Notre Dame, Indiana 46556 (United States)

2010-10-15T23:59:59.000Z

490

Growth factor parametrization and modified gravity  

SciTech Connect

The growth rate of matter perturbation and the expansion rate of the Universe can be used to distinguish modified gravity and dark energy models in explaining the cosmic acceleration. The growth rate is parametrized by the growth index {gamma}. We discuss the dependence of {gamma} on the matter energy density {omega} and its current value {omega}{sub 0} for a more accurate approximation of the growth factor. The observational data, including the data of the growth rate, are used to fit different models. The data strongly disfavor the Dvali-Gabadadze-Porrati model. For the dark energy model with a constant equation of state, we find that {omega}{sub 0}=0.27{+-}0.02 and w=-0.97{+-}0.09. For the {lambda}CDM model, we find that {gamma}=0.64{sub -0.15}{sup +0.17}. For the Dvali-Gabadadze-Porrati model, we find that {gamma}=0.55{sub -0.13}{sup +0.14}.

Gong Yungui [College of Mathematics and Physics, Chongqing University of Posts and Telecommunications, Chongqing 400065 (China)

2008-12-15T23:59:59.000Z

491

Factors affecting water quality in Cherokee Reservoir  

SciTech Connect

The purpose was to: (1) define reservoir problems related to water quality conditions; (2) identify the probable causes of these problems; and (3) recommend procedures for achieving needed reservoir water quality improvements. This report presents the project findings to date and suggests steps for upgrading the quality of Cherokee Reservoir. Section II presents background information on the characteristics of the basin, the reservoir, and the beneficial uses of the reservoir. Section III identifies the impacts of existing reservoir water quality on uses of the reservoir for water supply, fishery resources, recreation, and waste assimilation. Section IV presents an assessment of cause-effect relationships. The factors affecting water quality addressed in Section IV are: (1) reservoir thermal stratification and hydrodynamics; (2) dissolved oxygen depletion; (3) eutrophication; (4) toxic substances; and (5) reservoir fisheries. Section V presents a preliminary evaluation of alternatives for improving the quality of Cherokee Reservoir. Section VI presents preliminary conclusions and recommendations for developing and implementing a reservoir water quality management plan. 7 references, 22 figures, 21 tables.

Iwanski, M.L.; Higgins, J.M.; Kim, B.R.; Young, R.C.

1980-07-01T23:59:59.000Z

492

Review of critical factors affecting crude corrosivity  

SciTech Connect

Lower quality opportunity crudes are now processed in most refineries and the source of the crudes may vary daily. These feedstocks, if not properly handled, can result in reduction in service life of equipment as well as costly failure and downtime. Analytical tools are needed to predict their high temperature corrosivity toward distillation units. Threshold in total sulfur and total acid number (TAN) have been used for many years as rules of thumb for predicting crude corrosivity, However, it is now realized that they are not accurate in their predictive ability. Crudes with similar composition and comparable with respect to process considerations have been found to be entirely different in their impact on corrosion. Naphthenic acid content, sulfur content, velocity, temperature, and materials of construction are the main factors affecting the corrosion process, Despite progress made in elucidating the role of the different parameters on the crude corrosivity process, the main problem is in calculating their combined effect, especially when the corroding stream is such a complex mixture. The TAN is usually related directly to naphthenic acid content. However, discrepancies between analytical methods and interference of numerous components of the crude itself lead to unreliable reported content of naphthenic acid. The sulfur compounds, with respect to corrosivity, appear to relate more to their decomposition at elevated temperature to form hydrogen sulfide than to their total content in crude. This paper reviews the present situation regarding crude corrosivity in distillation units, with the aim of indicating the extent of available information, and areas where further research is necessary.

Tebbal, S.; Kane, R.D. [CLI International, Inc., Houston, TX (United States)

1996-08-01T23:59:59.000Z

493

Factores determinantes de la resistencia ósea  

Science Journals Connector (OSTI)

Hoy en día se considera que la resistencia ósea, entendiendo como tal la fuerza necesaria para desencadenar el fracaso biomecánico de un hueso, es el resultado de la integración de dos variables, la cantidad y la calidad ósea, factores dependientes a su vez del remodelado óseo. Mientras la cantidad de hueso depende directamente de su densidad mineral, la calidad del mismo depende de variables tales como la estructuración jerárquica y la composición química del material que lo forma. Cada uno de estos determinantes primarios de la resistencia ósea comprende a su vez una serie de determinantes secundarios, responsables directos de alguna de las propiedades biomecánicas óseas específicas. En conjunto, determinantes primarios y secundarios ayudan a establecer un hueso sano, resistente y biomecánicamente competente, mientras que sus alteraciones son responsables del desarrollo de osteopatías fragilizantes, procesos fisiopatológicos que incrementan el riesgo de fractura. Nowadays it is considered that bone strength, understanding as so the necessary load to cause a biomechanical failure of bone, it is the result of the integration of two variables, bone mass and bone quality, both related with bone remodelling. While bone mass depends directly on its mineral density, quality of bone depends on variables such as the hierarchic structure and chemical composition of its material. Each one of these bone strength primary determinants include a serial of secondary ones related with some of the specific biomechanical properties of bone. Altogether, primary and secondary determinants, help to establish a healthy, resistant and mechanical competent bone, whereas their alterations produce weakening osteopathies that increase fracture risk.

J.R. Caeiro Rey; S. Dapía Robleda; E. Vaquero Cervino; L. Roca Ruiz; M.A. Blanco Ramos

2005-01-01T23:59:59.000Z

494

Disruptive Event Biosphere Doser Conversion Factor Analysis  

SciTech Connect

The purpose of this report was to document the process leading to, and the results of, development of radionuclide-, exposure scenario-, and ash thickness-specific Biosphere Dose Conversion Factors (BDCFs) for the postulated postclosure extrusive igneous event (volcanic eruption) at Yucca Mountain. BDCF calculations were done for seventeen radionuclides. The selection of radionuclides included those that may be significant dose contributors during the compliance period of up to 10,000 years, as well as radionuclides of importance for up to 1 million years postclosure. The approach documented in this report takes into account human exposure during three different phases at the time of, and after, volcanic eruption. Calculations of disruptive event BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. The pathway analysis included consideration of different exposure pathway's contribution to the BDCFs. BDCFs for volcanic eruption, when combined with the concentration of radioactivity deposited by eruption on the soil surface, allow calculation of potential radiation doses to the receptor of interest. Calculation of radioactivity deposition is outside the scope of this report and so is the transport of contaminated ash from the volcano to the location of the receptor. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA), in which doses are calculated to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

M. Wasiolek

2000-12-28T23:59:59.000Z

495

Nominal Performance Biosphere Dose Conversion Factor Analysis  

SciTech Connect

The purpose of this report was to document the process leading to development of the Biosphere Dose Conversion Factors (BDCFs) for the postclosure nominal performance of the potential repository at Yucca Mountain. BDCF calculations concerned twenty-four radionuclides. This selection included sixteen radionuclides that may be significant nominal performance dose contributors during the compliance period of up to 10,000 years, five additional radionuclides of importance for up to 1 million years postclosure, and three relatively short-lived radionuclides important for the human intrusion scenario. Consideration of radionuclide buildup in soil caused by previous irrigation with contaminated groundwater was taken into account in the BDCF development. The effect of climate evolution, from the current arid conditions to a wetter and cooler climate, on the BDCF values was evaluated. The analysis included consideration of different exposure pathway's contribution to the BDCFs. Calculations of nominal performance BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. BDCFs for the nominal performance, when combined with the concentrations of radionuclides in groundwater allow calculation of potential radiation doses to the receptor of interest. Calculated estimates of radionuclide concentration in groundwater result from the saturated zone modeling. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA) to calculate doses to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

Wasiolek, Maryla A.

2000-12-21T23:59:59.000Z

496

Development of the Electricity Carbon Emission Factors for Russia | Open  

Open Energy Info (EERE)

the Electricity Carbon Emission Factors for Russia the Electricity Carbon Emission Factors for Russia Jump to: navigation, search Name Development of the Electricity Carbon Emission Factors for Russia Agency/Company /Organization European Bank for Reconstruction and Development Sector Energy Focus Area Renewable Energy Topics GHG inventory Resource Type Publications Website http://www.lahmeyer.de/fileadm Country Russia Eastern Europe References Development of the Electricity Carbon Emission Factors for Russia[1] References ↑ "Development of the Electricity Carbon Emission Factors for Russia" Retrieved from "http://en.openei.org/w/index.php?title=Development_of_the_Electricity_Carbon_Emission_Factors_for_Russia&oldid=383164" Category: Programs What links here Related changes Special pages

497

Dose factor entry and display tool for BNCT radiotherapy  

DOE Patents (OSTI)

A system for use in Boron Neutron Capture Therapy (BNCT) radiotherapy planning where a biological distribution is calculated using a combination of conversion factors and a previously calculated physical distribution. Conversion factors are presented in a graphical spreadsheet so that a planner can easily view and modify the conversion factors. For radiotherapy in multi-component modalities, such as Fast-Neutron and BNCT, it is necessary to combine each conversion factor component to form an effective dose which is used in radiotherapy planning and evaluation. The Dose Factor Entry and Display System is designed to facilitate planner entry of appropriate conversion factors in a straightforward manner for each component. The effective isodose is then immediately computed and displayed over the appropriate background (e.g. digitized image).

Wessol, Daniel E. (Bozeman, MT); Wheeler, Floyd J. (Idaho Falls, ID); Cook, Jeremy L. (Greeley, CO)

1999-01-01T23:59:59.000Z

498

Preformation factor for ? particles in isotopes near N=Z  

Science Journals Connector (OSTI)

Combining the experimental ?-decay energies and half-lives, the ?-particle preformation factors for the nuclei around N=Z=50 are extracted within the generalized liquid drop model. It is found that the average order of magnitude of the preformation factor is 1.0×10?1. In addition, a detailed discussion on the odd-even effect of the preformation factor is performed.

Y. Z. Wang; J. Z. Gu; Z. Y. Hou

2014-04-02T23:59:59.000Z

499

Optimization Online - A Factorization with Update Procedures for a ...  

E-Print Network (OSTI)

Nov 11, 2009 ... A Factorization with Update Procedures for a KKT Matrix Arising in Direct Optimal Control. Christian Kirches (christian.kirches ***at*** ...

Christian Kirches

2009-11-11T23:59:59.000Z

500

QCD Factorization for heavy quarkonium production at collider energies  

E-Print Network (OSTI)

In this talk, I briefly review several models of the heavy quarkonium production at collider energies, and discuss the status of QCD factorization for these production models.

Jian-Wei Qiu

2006-10-31T23:59:59.000Z