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Note: This page contains sample records for the topic "industries rse column" 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
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1

2003 Commercial Buildings Energy Consumption - What is an RSE  

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

Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > What is an RSE? What is an RSE? The estimates in the...

2

2003 CBECS RSE Tables  

Gasoline and Diesel Fuel Update (EIA)

cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" type=text/css rel=stylesheet> Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > RSE Tables 2003 CBECS Relative Standard Error (RSE) Tables Released: Dec 2006 Next CBECS will be conducted in 2007 Standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used to construct confidence intervals and to perform hypothesis tests by standard statistical methods. Relative Standard Error (RSE) is defined as the standard error (square root of the variance) of a survey estimate, divided by the survey estimate and multiplied by 100. (More information on RSEs)

3

" Generation by Census Region, Industry Group, Selected Industries, Presence of"  

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

4. Total Inputs of Energy for Heat, Power, and Electricity" 4. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, Presence of" " General Technologies, and Industry-Specific Technologies for Selected" " Industries, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.3

4

Characteristics RSE Column Factor: Total  

Gasoline and Diesel Fuel Update (EIA)

Per- cent 125 Per- cent 0.4 2.4 1.8 1.2 0.9 0.8 0.8 0.7 1.4 1.1 0.9 Race of Householder White ... 1,592 27 60 105 272 255 358 514 97 155...

5

" 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"

6

" 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"

7

" 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"

8

" 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"

9

" 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"

10

Characteristics RSE Column Factor: All Vehicle Types  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

... 24.9 18.1 17.4 0.7 0.8 0.8 0.6 4.5 Q 18.4 Race of Householder White ... 138.6 92.3 86.7 5.6 7.3 8.9 2.8 26.7...

11

" 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

12

" Electricity Generation by Employment Size Categories, Industry Group,"  

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

Total Consumption of Offsite-Produced Energy for Heat, Power, and" Total Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Employment Size Categories, Industry Group," " and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," "," Employment Size(b)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",1000,"Row" "Code(a)","Industry Group and Industry","Total","Under 50","50-99","100-249","250-499","500-999","and Over","Factors" ,"RSE Column Factors:",0.6,1.4,1.5,1,0.9,1,1

13

" 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"

14

" 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"

15

" 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"

16

" 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"

17

2003 Commercial Buildings Energy Consumption - What is an RSE  

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

Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > What is an RSE? What is an RSE? The estimates in the Commercial Buildings Energy Consumption Survey (CBECS) are based on data reported by representatives of a statistically-designed subset of the entire commercial building population in the United States, or a "sample". Consequently, the estimates differ from the true population values. However, the sample design permits us to estimate the sampling error in each value. It is important to understand: CBECS estimates should not be considered as finite point estimates, but as estimates with some associated error in each direction. The standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used to construct confidence intervals and to perform hypothesis tests by standard statistical methods. Relative Standard Error (RSE) is defined as the standard error (square root of the variance) of a survey estimate, divided by the survey estimate and multiplied by 100.

18

" 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"

19

" 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"

20

" 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"

Note: This page contains sample records for the topic "industries rse column" 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

Characteristics RSE Column Factor: Households with Children Households...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

... 6.1 0.8 2.7 2.6 Q Q Q Q Q Q Q 23.2 Race of Householder White ... 54.8 14.4 27.6 12.8 83.7 3.2 6.7 7.2...

22

Characteristics RSE Column Factor: All Model Years Model Year  

Gasoline and Diesel Fuel Update (EIA)

or 17 Years ... 15.2 0.7 0.9 0.9 3.0 3.8 2.8 1.2 0.9 0.9 15.5 Households Without Children ... 92.2 4.2 5.9 6.5 21.8 21.8 14.2 5.9 5.5 6.4 5.5...

23

Re: NBP RFI: CommunicationRse quirements | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

of Energy request for comments regarding the communications requirements of electric utilities deploying the Smart Grid. Re: NBP RFI: CommunicationRse quirements More Documents &...

24

Profils des entreprises en matire de RSE et innovation technologique  

E-Print Network [OSTI]

la nature de la relation entre la Responsabilité Sociale des Entreprises (RSE) et l'innovation : Innovation, PME, Responsabilité Sociale des Entreprises (RSE) Rachel BOCQUET - Caroline MOTHE hal-00950166 : Corporate Social Responsibility (CSR), Innovation, SME's hal-00950166,version1-25Feb2014 #12;3 Introduction

Boyer, Edmond

25

An Evaluation of Microextraction/Capillary Column Gas Chromatography for Monitoring Industrial Outfalls  

Science Journals Connector (OSTI)

......Microextraction/Capillary Column Gas Chromatography for Monitoring...for environmental and production analyses. Gary Olsen...both environmental and production lab activities. Daniel...and capillary-column gas chromatography techniques...because of its lower cost and more desirable maintenance......

Daniel R. Thielen; Gary Olsen; Abram Davis; Edward Bajor; John Stefanovski; John Chodkowski

1987-01-01T23:59:59.000Z

26

Artificial Neural Network Estimator Design for the Inferential Model Predictive Control of an Industrial Distillation Column  

Science Journals Connector (OSTI)

The ANN architecture is a multilayer perceptron (MLP), which is a typical feed-forward (layered) neural network.2 A collection of neurons connected to each other forms the artificial neural network. ... It is shown that the how artificial neural networks can model the column, and demonstrated that the network model is as good or better than a simplified first principles model when used for model predictive control. ... A dynamic, nonlinear, multi-input multi-output application using the recurrent dynamic neuron network (RDNN) model is presented for a two-by-two distn. ...

Alm?la Bahar; Canan zgen; Kemal Leblebicio?lu; U?ur Hal?c?

2004-08-12T23:59:59.000Z

27

" 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"

28

" 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"

29

" 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"

30

" 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"

31

" 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"

32

" 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"

33

" 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"

34

" 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"

35

" Column: Energy-Consumption Ratios;"  

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

3 Consumption Ratios of Fuel, 2002;" 3 Consumption Ratios of Fuel, 2002;" " 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","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

36

" 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"

37

" 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"

38

Une analyse des liens entre types de Green IT et stratgies RSE  

E-Print Network [OSTI]

: France (2013)" #12;ABSTRACT This communication addresses the issue of the adoption of green technologiesUne analyse des liens entre types de Green IT et stratégies RSE An analysis of links between Green/INSTEAD (Luxembourg), CREM R?SUM? Cette communication aborde la question de l'adoption des technologies vertes ou

Boyer, Edmond

39

Industrial  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Products Industrial Institutional Multi-Sector Residential Momentum Savings Regional Efficiency Progress Report Utility Toolkit Energy Smart Industrial - Energy Management...

40

Industry  

E-Print Network [OSTI]

2004). US DOEs Industrial Assessment Centers (IACs) are anof Energys Industrial Assessment Center program in SMEs

Bernstein, Lenny

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industries rse column" 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

" 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"

42

" 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"

43

" 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"

44

" 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"

45

" 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"

46

" 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"

47

" 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"

48

" Census Region, Census Division, Industry Group, and Selected Industries, 1994"  

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

Quantity of Purchased Electricity and Steam by Type of Supplier," Quantity of Purchased Electricity and Steam by Type of Supplier," " Census Region, Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Btu or Physical Units)" ,," Electricity",," Steam" ,," (million kWh)",," (billion Btu)" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

49

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

50

" 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"

51

" 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"

52

Industry  

E-Print Network [OSTI]

Information on corn wet milling. Corn Refiners Association corn wet milling industry: An ENERGYas an automotive fuel. Corn wet milling is the most energy-

Bernstein, Lenny

2008-01-01T23:59:59.000Z

53

Industry  

E-Print Network [OSTI]

increased use of biomass and energy efficiency improvements,Moreira, J. , 2006: Global biomass energy potential. Journal19712004 Notes 1) Biomass energy included 2) Industrial

Bernstein, Lenny

2008-01-01T23:59:59.000Z

54

" Electricity Generation by Census Region, Census Division, Industry Group, and"  

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

A6. Total Inputs of Selected Byproduct Energy for Heat, Power, and" A6. Total Inputs of Selected Byproduct Energy for Heat, Power, and" " Electricity Generation by Census Region, Census Division, Industry Group, and" " Selected Industries, 1994" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," ","Waste"," " " "," "," ","Blast"," "," "," "," ","Oils/Tars","RSE" "SIC"," "," ","Furnace/Coke"," ","Petroleum","Pulping","Wood Chips,","And Waste","Row"

55

" Electricity Generation by Census Region, Industry Group, and Selected"  

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

2" 2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," "," " " "," "," "," "," "," "," "," "," "," "," ","RSE" "SIC"," "," "," ","Residual","Distillate"," "," "," ","Coke"," ","Row" "Code(a)","Industry Groups and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","LPG","Coal","and Breeze","Other(e)","Factors"

56

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, Selected Industries, and" " Presence of Cogeneration Technologies, 1994: Part 1" " (Estimates in Trillion Btu)",," ",,,,,,," "," "," " ,,,"Steam Turbines",,,,"Steam Turbines" ,," ","Supplied by Either","Conventional",,,"Supplied by","One or More",," " " "," ",,"Conventional","Combustion ","Combined-Cycle","Internal Combustion","Heat Recovered from","Cogeneration",,"RSE"

57

" Energy Sources by Industry Group, Selected Industries, and Selected"  

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

5. Capability to Switch from Distillate Fuel Oil to Alternative" 5. Capability to Switch from Distillate Fuel Oil to Alternative" " Energy Sources by Industry Group, Selected Industries, and Selected" " Characteristics, 1991" " (Estimates in Thousand Barrels)" ,," Distillate Fuel Oil ",,," Alternative Types of Energy(b)" ,,"-","-","-------------","-","-","-","-","-","-","-","RSE" ,,"Total"," ","Not","Electricity","Natural","Residual",,,"Coal Coke",,"Row" ,,"Consumed(c)","Switchable","Switchable","Receipts(d)","Gas","Fuel Oil","Coal","LPG","and Breeze","Other(e)","Factors"

58

" Sources by Industry Group, Selected Industries, and Selected Characteristics,"  

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

3. Capability to Switch from Electricity to Alternative Energy" 3. Capability to Switch from Electricity to Alternative Energy" " Sources by Industry Group, Selected Industries, and Selected Characteristics," 1991 " (Estimates in Million Kilowatthours)" ,," Electricity Receipts",,," Alternative Types of Energy(b)" ,,"-","-","-----------","-","-","-","-","-","-","-" ,,,,,,,,,,"Coal",,"RSE" ,,"Total"," ","Not","Natural","Distillate","Residual",,,"Coke and",,"Row" ,,"Receipts(c)","Switchable","Switchable","Gas","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(d)","Factors"," "

59

" Sources by Industry Group, Selected Industries, and Selected Characteristics,"  

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

6. Capability to Switch from Residual Fuel Oil to Alternative Energy" 6. Capability to Switch from Residual Fuel Oil to Alternative Energy" " Sources by Industry Group, Selected Industries, and Selected Characteristics," 1991 " (Estimates in Thousand Barrels)" ,," Residual Fuel Oil",,," Alternative Types of Energy(b)" ," ","-","-","-------------","-","-","-","-","-","-","-","RSE" ,,"Total",,"Not","Electricity","Natural","Distillate",,,"Coal Coke",,"Row" ,,"Consumed(c)","Switchable","Switchable","Receipts(d)","Gas","Fuel Oil","Coal","LPG","and Breeze","Other(e)","Factors"

60

" Sources by Industry Group, Selected Industries, and Selected Characteristics,"  

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

4. Capability to Switch from Natural Gas to Alternative Energy" 4. Capability to Switch from Natural Gas to Alternative Energy" " Sources by Industry Group, Selected Industries, and Selected Characteristics," 1991 " (Estimates in Billion Cubic Feet)" ,," Natural Gas",,," Alternative Types of Energy(b)" ,,"-","-","-------------","-","-","-","-","-","-","-","RSE" ,,"Total"," ","Not","Electricity","Distillate","Residual",,,"Coal Coke",,"Row" ,,"Consumed(c)","Switchable","Switchable","Receipts(d)","Fuel Oil","Fuel Oil","Coal","LPG","and Breeze","Other(e)","Factors"

Note: This page contains sample records for the topic "industries rse column" 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

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, Selected Industries, and" " Presence of General Technologies, 1994: Part 1" " (Estimates in Trillion Btu)" ,,,,"Computer Control" ,," "," ","of Processes"," "," ",," "," "," "," " ,," ","Computer Control","or Major",,,"One or More"," ","RSE",," " "SIC"," ",,"of Building","Energy-Using","Waste Heat"," Adjustable-Speed","General Technologies","None","Row"

62

" by Census Region, Census Division, Industry Group, Selected Industries, and"  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Census Division, Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 1" " (Estimates in Trillion Btu)" ,,,," Census Region",,,,,,,"Census Division",,,,,"RSE" "SIC"," ",,,,,,,"Middle","East North","West North","South","East South","West South",,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","New England","Atlantic","Central","Central","Atlantic","Central","Central","Mountain","Pacific","Factors"

63

" 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...

64

" 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...

65

"Table A16. Components of Total Electricity Demand by Census Region, Industry"  

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

6. Components of Total Electricity Demand by Census Region, Industry" 6. Components of Total Electricity Demand by Census Region, Industry" " Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Groups and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

66

Industry  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

An Exploration of Innovation and An Exploration of Innovation and Energy Efficiency in an Appliance Industry Prepared by Margaret Taylor, K. Sydny Fujita, Larry Dale, and James McMahon For the European Council for an Energy Efficient Economy March 29, 2012 ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY LBNL - 5689E An Exploration of Innovation and Energy Efficiency in an Appliance Industry Abstract This report provides a starting point for appliance energy efficiency policy to be informed by an understanding of: the baseline rate and direction of technological change of product industries; the factors that underlie the outcomes of innovation in these industries; and the ways the innovation system might respond to any given intervention. The report provides an overview of the dynamics of energy efficiency policy and innovation in the appliance

67

Industry  

E-Print Network [OSTI]

for im- proving energy efficiency of corn wet milling havefor the corn wet milling industry: An ENERGY STAR Guide forfuel. Corn wet milling is the most energy-intensive food

Bernstein, Lenny

2008-01-01T23:59:59.000Z

68

Industry  

E-Print Network [OSTI]

options for combined heat and power in Canada. Office ofpolicies to promote combined heat and power in US industry.with fuel inputs in combined heat and power plants being

Bernstein, Lenny

2008-01-01T23:59:59.000Z

69

Industry  

E-Print Network [OSTI]

EJ of primary energy, 40% of the global total of 227 EJ. Bytotal energy use by industry and on the fraction of electricity use consumed by motor driven systems was taken as representative of global

Bernstein, Lenny

2008-01-01T23:59:59.000Z

70

Industry  

SciTech Connect (OSTI)

This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of industrial mitigation for sustainable development is discussed in Section 7.7. Section 7.8 discusses the sector's vulnerability to climate change and options for adaptation. A number of policies have been designed either to encourage voluntary GHG emission reductions from the industrial sector or to mandate such reductions. Section 7.9 describes these policies and the experience gained to date. Co-benefits of reducing GHG emissions from the industrial sector are discussed in Section 7.10. Development of new technology is key to the cost-effective control of industrial GHG emissions. Section 7.11 discusses research, development, deployment and diffusion in the industrial sector and Section 7.12, the long-term (post-2030) technologies for GHG emissions reduction from the industrial sector. Section 7.13 summarizes gaps in knowledge.

Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

2007-12-01T23:59:59.000Z

71

"Table A17. Components of Onsite Electricity Generation by Census Region,"  

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

7. Components of Onsite Electricity Generation by Census Region," 7. Components of Onsite Electricity Generation by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," "," ","RSE" "SIC"," "," "," "," "," ","Row" "Code(a)","Industry Groups and Industry","Total","Cogeneration","Renewables","Other(b)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.8,0.8,1.4,1.2

72

" Electricity Generation by Employment Size Categories, Industry Group, and"  

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

Total Consumption of Offsite-Produced Energy for Heat, Power, and" Total Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Employment Size Categories, Industry Group, and" " Selected Industries, 1991" " (Estimates in Trillion Btu)" ,,,,,"Employment Size(b)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," ",,,,,"1,000","Row" "Code(a)","Industry Groups and Industry","Total","Under 50","50-99","100-249","250-499","500-999","and Over","Factors"," "," "," "," "," "," "

73

" by Type of Supplier, Census Region, Census Division, Industry Group,"  

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

3. Average Prices of Purchased Electricity and Steam" 3. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Dollars per Physical Units)" ,," Electricity",," Steam" ,," (kWh)",," (million Btu)" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

74

"Table A25. Components of Total Electricity Demand by Census Region, Census Division, Industry"  

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

Components of Total Electricity Demand by Census Region, Census Division, Industry" Components of Total Electricity Demand by Census Region, Census Division, Industry" " Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Group and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

75

Industrial  

Gasoline and Diesel Fuel Update (EIA)

Industrial Industrial 8,870,422 44.3% Commercial 3,158,244 15.8% Electric Utilities 2,732,496 13.7% Residential 5,241,414 26.2% Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." T e x a s L o u i s i a n a C a l i f o r n i a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Industrial Billion Cubic Meters T e x a s C a l i f o r n i a F l o r i d a A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Electric Utilities Billion Cubic Meters N e w Y o r k C a l i f o r n i a I l l i n o i s A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Commercial Billion Cubic Meters I l l i n o i s C a l i f o r n i a N e w Y o r k A l l O t h e r S t a t e s 0 1 2 3 4 5 0 30 60 90 120 Trillion Cubic Feet Residential Billion Cubic Meters 11. Natural Gas Delivered to Consumers in the United States, 1996 Figure Volumes in Million Cubic Feet Energy Information Administration

76

" Generation, by Program Sponsorship, Industry Group, Selected"  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity" Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity" " Generation, by Program Sponsorship, Industry Group, Selected" " Industries, and Type of Energy-Management Program, 1994: Part 2" ,,,," Type of Sponsorship of Management Programs" ,,,,,"(1992 through 1994)" ,," " ,,,,,,"Federal, State, or" ,,"No Energy",,"Electric Utility",,"Local Government","Third Party","RSE" "SIC",,"Management","Any Type of","Sponsored","Self-Sponsored","Sponsored","Sponsored","Row" "Code(a)"," Industry Group and Industry","Program(b)","Sponsorship","Involvement","Involvement","Involvement","Involvement","Factors"

77

" Electricity Generation by Census Region, Industry Group, and Selected"  

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

1" 1" " (Estimates in Btu or Physical Units)" " "," "," "," "," "," "," "," "," ","Coke"," "," " " "," "," "," ","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" "Code(a)","Industry Groups and Industry","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

78

" and Electricity Generation by Census Region, Census Division, Industry Group,"  

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

3. Total Inputs of Selected Wood and Wood-Related Products for Heat, Power," 3. Total Inputs of Selected Wood and Wood-Related Products for Heat, Power," " and Electricity Generation by Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Billion Btu)" ,,,,"Selected Wood and Wood-Related Products" ,,,,,"Biomass" " "," ",," "," "," ","Wood Residues","Wood-Related"," " " "," ","Pulping Liquor",," ","Wood Harvested","and Byproducts","and","RSE" "SIC"," ","or","Biomass","Agricultural","Directly","from","Paper-Related","Row"

79

" 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...

80

RSE Table 3.5 Relative Standard Errors for Table 3.5  

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

5 Relative Standard Errors for Table 3.5;" 5 Relative Standard Errors for Table 3.5;" " Unit: Percents." " "," "," "," "," "," "," "," ","Waste",," " " "," "," ","Blast"," "," ","Pulping Liquor"," ","Oils/Tars" "NAICS"," "," ","Furnace/Coke","Waste","Petroleum","or","Wood Chips,","and Waste" "Code(a)","Subsector and Industry","Total","Oven Gases","Gas","Coke","Black Liquor","Bark","Materials"

Note: This page contains sample records for the topic "industries rse column" 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

RSE Table 3.2 Relative Standard Errors for Table 3.2  

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

2 Relative Standard Errors for Table 3.2;" 2 Relative Standard Errors for Table 3.2;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," " "NAICS"," "," ","Net","Residual","Distillate","Natural","LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",4,5,25,20,5,27,6,0,10

82

RSE Table 5.2 Relative Standard Errors for Table 5.2  

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

2 Relative Standard Errors for Table 5.2;" 2 Relative Standard Errors for Table 5.2;" " Unit: Percents." " "," "," ",," ","Distillate"," "," ",," " " "," ",,,,"Fuel Oil",,,"Coal" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," " "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES"

83

RSE Table 5.4 Relative Standard Errors for Table 5.4  

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

4 Relative Standard Errors for Table 5.4;" 4 Relative Standard Errors for Table 5.4;" " Unit: Percents." " "," ",," ","Distillate"," "," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"TOTAL FUEL CONSUMPTION",2,3,6,2,3,9

84

RSE Table 7.9 Relative Standard Errors for Table 7.9  

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

9 Relative Standard Errors for Table 7.9;" 9 Relative Standard Errors for Table 7.9;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," " "NAICS"," "," ",,"Residual","Distillate","Natural ","LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)" ,,"Total United States" 311,"Food",4,4,24,21,5,23,7,0,20

85

RSE Table 1.2 Relative Standard Errors for Table 1.2  

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

2 Relative Standard Errors for Table 1.2;" 2 Relative Standard Errors for Table 1.2;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," "," " " "," "," ",," "," ",," "," ",," ","Shipments" "NAICS"," ",,"Net","Residual","Distillate","Natural","LPG and",,"Coke and"," ","of Energy Sources" "Code(a)","Subsector and Industry","Total(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)"

86

Column Initialization 1 Initializing Distillation Column Models 1  

E-Print Network [OSTI]

Column Initialization 1 Initializing Distillation Column Models 1 Roger Fletcher \\Lambda with the optimisation of distillation column models by non­ linear programming are considered. The paper presents of the distillation column model. A certain limiting case of the column model is examined, that of infinite reflux

Dundee, University of

87

RSE Table 2.1 Relative Standard Errors for Table 2.1  

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

2.1 Relative Standard Errors for Table 2.1;" 2.1 Relative Standard Errors for Table 2.1;" " Unit: Percents." " "," " " "," " "NAICS"," "," ","Residual","Distillate","Natural ","LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)" ,,"Total United States" 311,"Food",31,0,91,35,0,0,0,47 311221," Wet Corn Milling",0,0,0,0,0,0,0,0 31131," Sugar ",0,0,0,0,0,0,0,0 311421," Fruit and Vegetable Canning",1,0,0,0,0,0,0,8

88

RSE Table 10.10 Relative Standard Errors for Table 10.10  

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

0 Relative Standard Errors for Table 10.10;" 0 Relative Standard Errors for Table 10.10;" " Unit: Percents." ,,"Coal",,,"Alternative Energy Sources(b)" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual" "Code(a)","Subsector and Industry","Consumed(c)","Switchable","Switchable","Receipts(d)","Gas","Fuel Oil","Fuel Oil","LPG","Other(e)" ,,"Total United States" 311,"Food",6,18,5,0,20,85,29,20,0 311221," Wet Corn Milling",0,0,0,0,0,0,0,0,0 31131," Sugar ",0,0,0,0,0,0,0,0,0

89

RSE Table 10.13 Relative Standard Errors for Table 10.13  

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

3 Relative Standard Errors for Table 10.13;" 3 Relative Standard Errors for Table 10.13;" " Unit: Percents." ,,"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)" ,,"Total United States" 311,"Food",8,17,8,20,21,43,34,35,37,29 311221," Wet Corn Milling",0,0,0,0,0,0,0,0,0,0

90

RSE Table 4.1 Relative Standard Errors for Table 4.1  

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

1 Relative Standard Errors for Table 4.1;" 1 Relative Standard Errors for Table 4.1;" " Unit: Percents." " "," " " "," " "NAICS"," "," ",,"Residual","Distillate","Natural","LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",4,5,25,20,5,27,6,0,17 311221," Wet Corn Milling",1,0,0,1,3,0,0,0,0 31131," Sugar ",0,0,0,0,0,0,0,0,0 311421," Fruit and Vegetable Canning",8,11,46,45,8,57,0,0,3

91

RSE Table 7.6 Relative Standard Errors for Table 7.6  

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

6 Relative Standard Errors for Table 7.6;" 6 Relative Standard Errors for Table 7.6;" " Unit: Percents." " "," " " "," ",,,,,,,,," " "NAICS"," "," ",,"Residual","Distillate","Natural ","LPG and",,"Coke" "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)" ,,"Total United States" 311,"Food",4,5,25,20,5,27,6,0,20 311221," Wet Corn Milling",1,0,0,1,3,0,0,0,0 31131," Sugar ",0,0,0,0,0,0,0,0,0 311421," Fruit and Vegetable Canning",8,11,42,45,8,57,0,0,4

92

RSE Table 10.11 Relative Standard Errors for Table 10.11  

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

1 Relative Standard Errors for Table 10.11;" 1 Relative Standard Errors for Table 10.11;" " Unit: Percents." ,,"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)" ,,"Total United States" 311,"Food",20,32,21,0,16,68,65,73,0 311221," Wet Corn Milling",0,0,0,0,0,0,0,0,0 31131," Sugar ",0,0,0,0,0,0,0,0,0

93

" Generation by Program Sponsorship, Industry Group, Selected"  

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

A49. Total Inputs of Energy for Heat, Power, and Electricity" A49. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Program Sponsorship, Industry Group, Selected" " Industries, and Type of Energy-Management Program, 1994: Part 1" " (Estimates in Trillion Btu)" ,,,," Type of Sponsorship of Management Programs" ,,,,,"(1992 through 1994)" ,," " ,,,,,,"Federal, State, or" ,,"No Energy",,"Electric Utility",,"Local Government","Third Party","RSE" "SIC",,"Management","Any Type of","Sponsored","Self-Sponsored","Sponsored","Sponsored","Row"

94

Nuclear reactor control column  

DOE Patents [OSTI]

The nuclear reactor control column comprises a column disposed within the nuclear reactor core having a variable cross-section hollow channel and containing balls whose vertical location is determined by the flow of the reactor coolant through the column. The control column is divided into three basic sections wherein each of the sections has a different cross-sectional area. The uppermost section of the control column has the greatest cross-sectional area, the intermediate section of the control column has the smallest cross-sectional area, and the lowermost section of the control column has the intermediate cross-sectional area. In this manner, the area of the uppermost section can be established such that when the reactor coolant is flowing under normal conditions therethrough, the absorber balls will be lifted and suspended in a fluidized bed manner in the upper section. However, when the reactor coolant flow falls below a predetermined value, the absorber balls will fall through the intermediate section and into the lowermost section, thereby reducing the reactivity of the reactor core and shutting down the reactor.

Bachovchin, Dennis M. (Plum Borough, PA)

1982-01-01T23:59:59.000Z

95

Never Drying Column  

Science Journals Connector (OSTI)

......Department, University of Missouri-Kansas City, Kansas City, Missouri 64110 Column chromatography...Corporation, St. Louis, Missouri Question I. Many smaller...inor- ganic gases to heavy naphthas and crude oil fractions. The variety......

Bahman Nassim

1978-11-01T23:59:59.000Z

96

"Table A27. Components of Onsite Electricity Generation by Census Region,"  

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

Components of Onsite Electricity Generation by Census Region," Components of Onsite Electricity Generation by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" ," "," "," "," " " "," "," "," ",," ","RSE" "SIC"," "," "," ",," ","Row" "Code(a)","Industry Group and Industry","Total","Cogeneration","Renewables","Other(b)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.8,0.8,1.6,1 , 20,"Food and Kindred Products",6962,6754,90,118,11.2

97

Table A30. Quantity of Electricity Sold to Utility and Nonutility Purchasers  

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

Quantity of Electricity Sold to Utility and Nonutility Purchasers" Quantity of Electricity Sold to Utility and Nonutility Purchasers" " by Census Region, Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," "," ","RSE" "SIC"," "," ","Utility ","Nonutility","Row" "Code(a)","Industry Group and Industry","Total Sold","Purchaser(b)","Purchaser(c)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.9,1.1,1 , 20,"Food and Kindred Products",1829," W "," W ",28

98

Industry Alliance Industry Alliance  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century Industry Alliance Industry Alliance Clean, Sustainable Energy for the 21st Century October, 2010...

99

Table 11.3 Electricity: Components of Onsite Generation, 2002  

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

3 Electricity: Components of Onsite Generation, 2002;" 3 Electricity: Components of Onsite Generation, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Onsite-Generation Components;" " Unit: Million Kilowatthours." " "," ",,,"Renewable Energy",," " " "," ",,,"(excluding Wood",,"RSE" "NAICS"," ","Total Onsite",,"and",,"Row" "Code(a)","Subsector and Industry","Generation","Cogeneration(b)","Other Biomass)(c)","Other(d)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.9,0.8,1.1,1.3

100

Table N13.2. Electricity: Components of Onsite Generation, 1998  

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

2. Electricity: Components of Onsite Generation, 1998;" 2. Electricity: Components of Onsite Generation, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Onsite-Generation Components;" " Unit: Million Kilowatthours." " "," ",,,"Renewable Energy",," " " "," ",,,"(excluding Wood",,"RSE" "NAICS"," ","Total Onsite",,"and",,"Row" "Code(a)","Subsector and Industry","Generation","Cogeneration(b)","Other Biomass)(c)","Other(d)","Factors" ,,"Total United States" ,"RSE Column Factors:",1,0.8,1.5,0.9

Note: This page contains sample records for the topic "industries rse column" 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

Single-Column Modeling  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

102

" Column: Energy-Consumption Ratios;"  

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

" Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per...

103

Two-Column Aerosol Project  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

help find the answer, the Department of Energy's Atmospheric Radiation Measurement (ARM) Climate Research Facility is conducting the Two-Column Aerosol Project (TCAP) at Cape Cod...

104

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...

105

Table A56. Number of Establishments by Total Inputs of Energy for Heat, Powe  

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

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 2" ,,,"RSE" "SIC",,,"Row" "Code(a)","Industry Group and Industry","Total(b)","Factors" ,"RSE Column Factors:",1 20,"FOOD and KINDRED PRODUCTS" ,"Industry-Specific Technologies" ,"One or More Industry-Specific Technologies Present",2353,9 ," Infrared Heating",607,13 ," Microwave Drying",127,21 ," Closed-Cycle Heat Pump System Used to Recover Heat",786,19

106

" 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)"

107

"RSE Table N5.1. Relative Standard Errors for Table N5.1;"  

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

1. Relative Standard Errors for Table N5.1;" 1. Relative Standard Errors for Table N5.1;" " Unit: Percents." " "," "," "," "," "," "," "," ","Waste",," " " "," "," ","Blast"," "," ","Pulping Liquor"," ","Oils/Tars" "NAICS"," "," ","Furnace/Coke"," ","Petroleum","or","Wood Chips,","and Waste" "Code(a)","Subsector and Industry","Total","Oven Gases","Waste Gas","Coke","Black Liquor","Bark","Materials"

108

"RSE Table C2.1. Relative Standard Errors for Table C2.1;"  

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

C2.1. Relative Standard Errors for Table C2.1;" C2.1. Relative Standard Errors for Table C2.1;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," ",," " " "," ","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)" ,,"Total United States" , 311,"Food",4,0,3,0,1,0,2,6

109

"RSE Table C3.1. Relative Standard Errors for Table C3.1;"  

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

C3.1. Relative Standard Errors for Table C3.1;" C3.1. Relative Standard Errors for Table C3.1;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","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"

110

"RSE Table C4.1. Relative Standard Errors for Table C4.1;"  

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

C4.1. Relative Standard Errors for Table C4.1;" C4.1. Relative Standard Errors for Table C4.1;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","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" ,

111

"RSE Table C1.1. Relative Standard Errors for Table C1.1;"  

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

.1. Relative Standard Errors for Table C1.1;" .1. Relative Standard Errors for Table C1.1;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," "," " " "," ","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)"

112

"RSE Table C9.1. Relative Standard Errors for Table C9.1;"  

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

C9.1. Relative Standard Errors for Table C9.1;" C9.1. Relative Standard Errors for Table C9.1;" " Unit: Percents." " "," "," " " "," ",,,"General","Amount of ","Establishment-Paid","Activity Cost" "NAICS"," "," " "Code(a)","Energy-Management Activity","No Participation","Participation(b)","All","Some","None","Don't Know" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Participation in One or More of the Following Types of Activities",1,2,0,0,0,0 ," Energy Audits",1,3,5,6,5,7 ," Electricity Load Control",1,3,4,7,6,7

113

"RSE Table N13.1. Relative Standard Errors for Table N13.1;"  

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

1. Relative Standard Errors for Table N13.1;" 1. Relative Standard Errors for Table N13.1;" " Unit: Percents." " "," " " "," ",,,,"Sales and","Net Demand" "NAICS"," ",,,"Total Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" , 311,"Food",1,1,1,8,1 311221," Wet Corn Milling",0,0,0,0,0 312,"Beverage and Tobacco Products",4,0,1,0,4 313,"Textile Mills",2,8,7,0,2 313210," Broadwoven Fabric Mills",3,0,22,0,3 314,"Textile Product Mills",11,73,8,90,11

114

"RSE Table E7.2. Relative Standard Errors for Table E7.2;"  

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

2. Relative Standard Errors for Table E7.2;" 2. Relative Standard Errors for Table E7.2;" " Unit: Percents." " "," ",,,"Consumption" " "," ",,"Consumption","per Dollar" "NAICS",,"Consumption","per Dollar","of Value" "Code(a)","Economic Characteristic(b)","per Employee","of Value Added","of Shipments" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"Value of Shipments and Receipts" ,"(million dollars)" ," Under 20",2,2,2 ," 20-49",2,3,2 ," 50-99",3,3,2 ," 100-249",2,3,2 ," 250-499",3,3,3

115

"RSE Table N13.3. Relative Standard Errors for Table N13.3;"  

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

3. Relative Standard Errors for Table N13.3;" 3. Relative Standard Errors for Table N13.3;" " Unit: Percents." " "," ","Total of" "NAICS"," ","Sales and","Utility","Nonutility" "Code(a)","Subsector and Industry","Transfers Offsite","Purchaser(b)","Purchaser(c)" ,,"Total United States" , 311,"Food",8,9,0 311221," Wet Corn Milling",0,0,0 312,"Beverage and Tobacco Products",0,0,0 313,"Textile Mills",0,0,0 313210," Broadwoven Fabric Mills",0,0,0 314,"Textile Product Mills",90,90,0 315,"Apparel",0,0,0 316,"Leather and Allied Products",0,0,0

116

"RSE Table C10.1. Relative Standard Errors for Table C10.1;"  

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

1. Relative Standard Errors for Table C10.1;" 1. Relative Standard Errors for Table C10.1;" " Unit: Percents." " "," "," ",,,"Computer","Control of","Processes"," "," "," ",,,,," " " "," ","Computer Control","of Building-Wide","Environment(b)","or Major","Energy-Using","Equipment(c)","Waste","Heat","Recovery","Adjustable -","Speed","Motors" "NAICS"," " "Code(a)","Subsector and Industry","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"

117

"RSE Table N7.1. Relative Standard Errors for Table N7.1;"  

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

N7.1. Relative Standard Errors for Table N7.1;" N7.1. Relative Standard Errors for Table N7.1;" " Unit: Percents." " "," ",,,"Consumption" " "," ",,"Consumption","per Dollar" "NAICS"," ","Consumption","per Dollar","of Value" "Code(a)","Subsector and Industry","per Employee","of Value Added","of Shipments" ,,"Total United States" , 311,"Food",1,1,1 311221," Wet Corn Milling",0,0,0 312,"Beverage and Tobacco Products",8,4,5 313,"Textile Mills",3,2,3 313210," Broadwoven Fabric Mills",3,4,3 314,"Textile Product Mills",7,5,5

118

"RSE Table C12.1. Relative Standard Errors for Table C12.1;"  

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

2.1. Relative Standard Errors for Table C12.1;" 2.1. Relative Standard Errors for Table C12.1;" " Units: Percents." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" "NAICS"," ","of All Buildings",,"Enclosed Floorspace","of All Buildings","of Buildings Onsite" "Code(a)","Subsector and Industry","Onsite","Establishments(b)","per Establishment","Onsite","per Establishment" ,,"Total United States" , 311,"Food",2,0,2,1,1 311221," Wet Corn Milling",0,0,0,0,0 312,"Beverage and Tobacco Products",11,0,15,14,14

119

"Table A40. Average Prices of Selected Purchased Energy Sources by Census"  

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

Region, Census Division, Industry Group, and Selected Industries, 1994: Part 1" Region, Census Division, Industry Group, and Selected Industries, 1994: Part 1" " (Estimates in Dollars per Physical Units)" ,,,,," " " "," "," ","Residual","Distillate","Natural Gas(c)"," "," ","RSE" "SIC"," ","Electricity","Fuel Oil","Fuel Oil(b)","(1000","LPG","Coal","Row" "Code(a)","Industry Group and Industry","(kWh)","(gallons)","(gallons)","cu ft)","(gallons)","(short tons)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.8,1,1.3,0.8,1.6,0.8

120

"RSE Table N5.2. Relative Standard Errors for Table N5.2;"  

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

2. Relative Standard Errors for Table N5.2;" 2. Relative Standard Errors for Table N5.2;" " Unit: Percents." ,,"S e l e c t e d","W o o d","a n d","W o o d -","R e l a t e d","P r o d u c t s" ,,,,,"B i o m a s s" ,,,,,,"Wood Residues" ,,,,,,"and","Wood-Related" " "," ","Pulping Liquor"," "," ","Wood","Byproducts","and",," " "NAICS"," ","or","Biomass","Agricultural","Harvested Directly","from Mill","Paper-Related" "Code(a)","Subsector and Industry","Black Liquor","Total(b)","Waste(c)","from Trees(d)","Processing(e)","Refuse(f)"

Note: This page contains sample records for the topic "industries rse column" 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

"RSE Table N11.2. Relative Standard Errors for Table N11.2;"  

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

2. Relative Standard Errors for Table N11.2;" 2. Relative Standard Errors for Table N11.2;" " Unit: Percents." " "," " "NAICS"," "," ",,"Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)" ,,"Total United States" , 311,"Food",1,1,3,3,1,1,0,0,1 311221," Wet Corn Milling",0,0,0,0,0,0,0,0,0 312,"Beverage and Tobacco Products",4,4,16,41,4,22,3,0,15 313,"Textile Mills",2,2,5,14,3,5,1,0,5

122

"RSE Table C10.3. Relative Standard Errors for Table C10.3;"  

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

3. Relative Standard Errors for Table C10.3;" 3. Relative Standard Errors for Table C10.3;" " Unit: Percents." "NAICS"," " "Code(a)","Industry-Specific Technology","In Use(b)","Not in Use","Don't Know" ,,"Total United States" , 311,"FOOD" ," Infrared Heating",3,1,2 ," Microwave Drying",5,1,3 ," Closed-Cycle Heat Pump System Used to Recover Heat",7,1,3 ," Open-Cycle Heat Pump System Used to Produce Steam",7,1,3 ," Gas-Driven Rotary Engines and/or Turbines",20,1,3 ," Membrane Separation",3,1,2 ," Irradiation",23,1,2 ," Freeze Concentration",9,1,3 ," Membrane Hyperfiltration to Separate Water from Food Products",4,1,3

123

Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

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

A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.2,1.1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",12605,1209,3303,6386,1706,2.9

124

Table A41. Total Inputs of Energy for Heat, Power, and Electricity  

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

A41. Total Inputs of Energy for Heat, Power, and Electricity" A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",10743,1150,2819,5309,1464,2.6,,,"/WIR{D}~"

125

" 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)"

126

" 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

127

" Column: Energy-Consumption Ratios;"  

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"

128

" 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)"

129

" 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

130

WASTEWATER TREATMENT OVER SAND COLUMNS  

E-Print Network [OSTI]

93/0096 WASTEWATER TREATMENT OVER SAND COLUMNS TREATMENT YIELDS, LOCALISATION OF THE BIOMASS Domestic wastewater treatment by infiltration-percolation is a process that becomming common in France, a greater depth for desinfection purposes. KEYWORDS Wastewater treatment, Infiltration-percolation. Sand

Paris-Sud XI, Université de

131

"Table A7. Shell Storage Capacity of Selected Petroleum Products by Census"  

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

Shell Storage Capacity of Selected Petroleum Products by Census" Shell Storage Capacity of Selected Petroleum Products by Census" " Region, Industry Group, and Selected Industries, 1991" " (Estimates in Thousand Barrels)" " "," "," "," "," ","Other","RSE" "SIC"," ","Motor","Residual"," ","Distillate","Row" "Code(a)","Industry Groups and Industry","Gasoline","Fuel Oil","Diesel","Fuel Oil","Factors" ,,"Total United States" ,"RSE Column Factors:",1,0.9,1,1.1 , 20,"Food and Kindred Products",38,1448,306,531,12.1 2011," Meat Packing Plants",1,229,40,13,13.2

132

"Table A25 Average Prices of Selected Purchased Energy Sources by Census"  

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

Average Prices of Selected Purchased Energy Sources by Census" Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 2" " (Estimates in Dollars per Million Btu)" ,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate"," "," "," ","Row" "Code(a)","Industry Groups and Industry","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","LPG","Coal","Factors" ,,"Total United States" ,"RSE Column Factors:",0.7,0.8,1,2.8,1,0.7 20,"Food and Kindred Products",15.789,2.854,6.064,2.697,7.596,1.433,4.5

133

"Table A24. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

4. Total Expenditures for Purchased Energy Sources by Census Region," 4. Total Expenditures for Purchased Energy Sources by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Groupsc and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors" ,,"Total United States" ,"RSE Column Factors:","0.6 ",0.6,1.3,1.3,0.7,1.2,1.2,1.5,1.1

134

Table A18. Quantity of Electricity Sold to Utility and Nonutility Purchasers  

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

8. Quantity of Electricity Sold to Utility and Nonutility Purchasers" 8. Quantity of Electricity Sold to Utility and Nonutility Purchasers" " by Census Region, Industry Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," ","RSE" "SIC"," "," ","Utility ","Nonutility","Row" "Code(a)","Industry Groups and Industry","Total Sold","Purchaser(b)","Purchaser(c)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.9,1,1 , 20,"Food and Kindred Products",988,940,48,16.2 2011," Meat Packing Plants",0,0,0,"NF"

135

Table A17. Total First Use (formerly Primary Consumption) of Energy for All P  

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

Total First Use (formerly Primary Consumption) of Energy for All Purposes" Total First Use (formerly Primary Consumption) of Energy for All Purposes" " by Employment Size Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," "," Employment Size(b)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",1000,"Row" "Code(a)","Industry Group and Industry","Total","Under 50","50-99","100-249","250-499","500-999","and Over","Factors" ,"RSE Column Factors:",0.6,1.5,1.5,1,0.9,0.9,0.9 , 20,"Food and Kindred Products",1193,119,207,265,285,195,122,6

136

Table A15. Total Inputs of Energy for Heat, Power, and Electricity Generation  

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

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," "," (million dollars)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Group and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors" ,"RSE Column Factors:",0.6,1.3,1,1,0.9,1.2,1.2

137

Relative Retention Data for an Ethofat Column  

Science Journals Connector (OSTI)

......Retention Data for an Ethofat Column David P. Mowry Marathon Oil Company, Littleton, Colorado 80121 ture. RECIPROCAL...Retention Data for an Ethofat Column by David P. Mowry, Marathon 011 Company, Littleton, Colorado 80121 Relative retention......

David P. Mowry

1966-11-01T23:59:59.000Z

138

The French codes RCC-M and RSE-M -- Design, construction and in-service inspection rules for the mechanical components of PWR nuclear islands: An overview and a comparison to the ASME codes  

SciTech Connect (OSTI)

The RCC-M, ``Regles de Conception et de Construction des Materiels Mecaniques des Ilots Nucleaires REP`` or, in English, ``Design and Construction Rules for the Mechanical Components of PWR Nuclear Islands`` and the RSE-M, ``Regles de Surveillance en Exploitation des Materiels Mecaniques des Ilots Nucleaires REP`` or, in English, ``In-Service Inspection Rules for the Mechanical Components of PWR Nuclear Islands`` gather all design, construction and operating practices relating to the mechanical components of French PWR nuclear islands. This paper is a presentation of these two codes. Throughout this presentation the specific aspects of the French approach will be underlined and will be compared to that of the ASME codes--mainly Section 3 and Section 11. The broad general technical scopes of the French codes are similar to those of the ASME codes. However, in some important areas of design, material specifications, procurement and manufacturing, the provisions of the RCC-M and RSE-M deviate from those of a strict mechanical Code and are more self-sustaining than those of ASME.

Journet, J.; Masson, S.H.; Morel, A.; Remond, A.; Grandemange, J.M.

1995-12-01T23:59:59.000Z

139

Solutions diversification in a column generation algorithm  

E-Print Network [OSTI]

Solutions diversification in a column generation algorithm N. Touati a L. L´etocart a A. Nagih b a Column generation algorithms have been specially designed for solving mathemat- ical programs with a huge-based techniques. A more classical approach, known as "intensification", consists in inserting a set of columns

Létocart, Lucas

140

Process Svstems Enaineerina Instability of Distillation Columns  

E-Print Network [OSTI]

Process Svstems Enaineerina , Instability of Distillation Columns Elling W. Jacobsen and Sigurd recognized, distillation columns, operating with reflux and boilup as independent inputs, may have The dynamic behavior of distillation columns has been stud- ied quite extensively over the past decades

Skogestad, Sigurd

Note: This page contains sample records for the topic "industries rse column" 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

Vivapure Metal Chelate Mega spin columns  

E-Print Network [OSTI]

®® Vivapure Metal Chelate Mega spin columns Hisn Technical data and operating instructions. For in vitro use only. #12;2 Handling overview Vivapure Metal Chelate Mega spin columns - for the purification of proteins with poly-histidine tags Storage conditions Vivapure Metal Chelate Mega spin columns can be stored

Lebendiker, Mario

142

ENGINEERING DEVELOPMENT OF SLURRY BUBBLE COLUMN REACTOR (SBCR) TECHNOLOGY  

SciTech Connect (OSTI)

The major technical objectives of this program are threefold: (1) to develop the design tools and a fundamental understanding of the fluid dynamics of a slurry bubble column reactor to maximize reactor productivity, (2) to develop the mathematical reactor design models and gain an understanding of the hydrodynamic fundamentals under industrially relevant process conditions, and (3) to develop an understanding of the hydrodynamics and their interaction with the chemistries occurring in the bubble column reactor. Successful completion of these objectives will permit more efficient usage of the reactor column and tighter design criteria, increase overall reactor efficiency, and ensure a design that leads to stable reactor behavior when scaling up to large-diameter reactors. Washington University's work during the reporting period involved the implementation of the automated calibration device, which will provide an advanced method of determining liquid and slurry velocities at high pressures. This new calibration device is intended to replace the original calibration setup, which depended on fishing lines and hooks to position the radioactive particle. The report submitted by Washington University contains a complete description of the new calibration device and its operation. Improvements to the calibration program are also discussed. Iowa State University utilized air-water bubble column simulations in an effort to determine the domain size needed to represent all of the flow scales in a gas-liquid column at a high superficial velocity. Ohio State's report summarizes conclusions drawn from the completion of gas injection phenomena studies, specifically with respect to the characteristics of bubbling-jetting at submerged single orifices in liquid-solid suspensions.

Bernard A. Toseland

2000-12-31T23:59:59.000Z

143

Industrial Engineering Industrial Advisory Board  

E-Print Network [OSTI]

Industrial Engineering Industrial Advisory Board (IAB) #12;PURPOSE: The Texas Tech University - Industrial Engineering Industrial Ad- visory Board (IAB) is an association of professionals with a com- mon goal - promoting and developing the Texas Tech Department of Industrial Engineering and its students

Gelfond, Michael

144

" 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)"

145

" 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

146

" 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)"

147

" 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

148

" 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

149

Gamma-Ray Transmission Scans of Naphtha Splitter Column: A Case Study  

SciTech Connect (OSTI)

The gamma-ray transmission technique is well known and widely used to on-line examine inner details of industrial process column. For that purpose, a particular case study was conducted to diagnose the performance of a Naphtha Splitter Column in real time at one petrochemical plant in Malaysia. The technique employed Co-60 as a radioisotope sealed source to emit gamma radiation and a NaI(TI) scintillation as detector. This technique provides a visible representation of the true nature of the naphtha splitter column wherein the process and mechanical problems inside the column can be identified while it is in operation. This paper demonstrates details of the technique used and shows the result obtained.

Zain, Rasif Mohd; Rahman, Mohd Fitri Abd; Hasan, Nor Pa'iza Mohamad; Abdullah, Jaafar [Malaysian Nuclear Agency (Nuklear Malaysia), Bangi, 43000 Kajang, Selangor (Malaysia)

2008-05-20T23:59:59.000Z

150

Table N13.3. Electricity: Sales to Utility and Nonutility Purchasers, 1998  

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

3. Electricity: Sales to Utility and Nonutility Purchasers, 1998;" 3. Electricity: Sales to Utility and Nonutility Purchasers, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Utility and Nonutility Purchasers;" " Unit: Million Kilowatthours." " "," ",,,," " " "," ","Total of",,,"RSE" "NAICS"," ","Sales and","Utility","Nonutility","Row" "Code(a)","Subsector and Industry","Transfers Offsite","Purchaser(b)","Purchaser(c)","Factors" ,,"Total United States"

151

geo column legal.ai  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Teapot Dome Teapot Dome Geologic Column Natrona County, Wyoming T 38 & 39 N R 78 W Period Formation L i t h o l o g y T h i c k n e s s D e p t h ( f t ) P r o d u c t i v e Quaternary Alluvium Fox Hills Sandstone Lewis Shale Niobrara Shale Carlisle Shale Mesaverde Group Morrison Mowry Shale Muddy Sandstone Thermopolis Shale Dakota Lakota Goose Egg Tensleep Amsden Madison Undifferentiated Granite Steele Shale Frontier Sundance Chugwater Group Teapot Ss "Pumpkin Buttes shale" Parkman Ss Sussex Ss Shannon Ss 1st Wall Creek 2nd Wall Creek 3rd Wall Creek Upper Lower Crow Mountain Alcova LS Red Peak Outcropping units 195 515 635 1990 2440 3840 3975 4060 4070 4340 4435 4585 4665 4685 5205 5525 5845 6005 6305 7085 3825 3595 3330 3325 3150 3085 2840 2680 0-50 600 100 50 325 470 1355 195 30 290 120 480 160 245 65 240 450 265 230 15 135 85 5 175 80 150 95 270 10 160 320 320 520

152

How to Calculate Molecular Column Density  

E-Print Network [OSTI]

The calculation of the molecular column density from molecular spectral (rotational or ro-vibrational) transition measurements is one of the most basic quantities derived from molecular spectroscopy. Starting from first principles where we describe the basic physics behind the radiative and collisional excitation of molecules and the radiative transfer of their emission, we derive a general expression for the molecular column density. As the calculation of the molecular column density involves a knowledge of the molecular energy level degeneracies, rotational partition functions, dipole moment matrix elements, and line strengths, we include generalized derivations of these molecule-specific quantities. Given that approximations to the column density equation are often useful, we explore the optically thin, optically thick, and low-frequency limits to our derived general molecular column density relation. We also evaluate the limitations of the common assumption that the molecular excitation temperature is con...

Mangum, Jeffrey G

2015-01-01T23:59:59.000Z

153

Industrial Buildings  

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

Industrial Industrial Industrial / Manufacturing Buildings Industrial/manufacturing buildings are not considered commercial, but are covered by the Manufacturing Energy Consumption Survey (MECS). See the MECS home page for further information. Commercial buildings found on a manufacturing industrial complex, such as an office building for a manufacturer, are not considered to be commercial if they have the same owner and operator as the industrial complex. However, they would be counted in the CBECS if they were owned and operated independently of the manufacturing industrial complex. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/industrial.html

154

Intelligent fuzzy supervisory control for distillation columns.  

E-Print Network [OSTI]

??Distillation as a separation technique is widely used in the chemical and petroleum industries. With the growth of these industries and the availability of cheap (more)

Santhanam, Srinivasan

2012-01-01T23:59:59.000Z

155

Divided Wall Column Without the Wall  

E-Print Network [OSTI]

popularity in North America due to capital cost benefits and increasing energy conservation awareness. DWC is literally a column with a longitudinal partition inside, separating the pre-frac and the main-frac. The fixed internals, obviously, leave...

Tung, P.

2004-01-01T23:59:59.000Z

156

ARM - Evaluation Product - MFRSR-Column Intensive Properties  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Product : MFRSR-Column Intensive Properties The MFRSR-Column Intensive Properties (CIP) value-added product (VAP) has been developed for estimating the microphysical (e.g.,...

157

Industry @ ALS  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industry @ ALS Industry @ ALS Industry @ ALS Concrete Industry Benefits from Ancient Romans and the ALS Print Thursday, 17 October 2013 14:24 New insights into the Romans' ingenious concrete harbor structures emerging from ALS beamline research could move the modern concrete industry toward its goal of a reduced carbon footprint. Summary Slide Read more... Moving Industry Forward: Finding the Environmental Opportunity in Biochar Print Thursday, 12 September 2013 08:41 Using ALS Beamlines 10.3.2 and 8.3.2, the Environmental Protection Agency (EPA) is currently investigating how biochar sorbs environmental toxins and which kinds of biochar are the most effective. The possibilities for widespread use have already launched entrepreneurial commercial ventures. Summary Slide

158

Industrial Hygienist  

Broader source: Energy.gov [DOE]

A successful candidate in this position wil l serve as an Industrial Hygienist in the Operations Division, providing technical oversight of the Pacific Northwest National Laboratory contractors...

159

Industrial Users  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industrial Users - Media Publications and Information The Invisible Neutron Threat Neutron-Induced Failures in Semiconductor Devices Nuclear Science Research at the LANSCE-WNR...

160

Industrial Users  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

on altitude. This large flux allows testing of semiconductor devices at greatly accelerated rates. Industry users are invited to contact Steve Wender, phone:505-667-1344 or...

Note: This page contains sample records for the topic "industries rse column" 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

RSE Table N3.1 and N3.2. Relative Standard Errors for Tables N3.1 and N3.2  

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

N3.1 and N3.2. Relative Standard Errors for Tables N3.1 and N3.2;" N3.1 and N3.2. Relative Standard Errors for Tables N3.1 and N3.2;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " "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",1,1,2,3,1,1,0,0,1

162

RSE Table S1.1 and S1.2. Relative Standard Errors for Tables S1.1 and S1.2  

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

S1.1 and S1.2. Relative Standard Errors for Tables S1.1 and S1.2;" S1.1 and S1.2. Relative Standard Errors for Tables S1.1 and S1.2;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," "," " " "," "," ",," "," ",," "," ",," ","Shipments" "SIC"," ",,"Net","Residual","Distillate",,"LPG and",,"Coke and"," ","of Energy Sources" "Code(a)","Major Group and Industry","Total(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)"

163

RSE Table N4.1 and N4.2. Relative Standard Errors for Tables N4.1 and N4.2  

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

N4.1 and N4.2. Relative Standard Errors for Tables N4.1 and N4.2;" N4.1 and N4.2. Relative Standard Errors for Tables N4.1 and N4.2;" " Unit: Percents." " "," "," ",," "," "," "," "," "," "," ",," " "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",1,1,2,3,1,1,0,0,1

164

RSE Table N1.1 and N1.2. Relative Standard Errors for Tables N1.1 and N1.2  

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

1 and N1.2. Relative Standard Errors for Tables N1.1 and N1.2;" 1 and N1.2. Relative Standard Errors for Tables N1.1 and N1.2;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," "," " " "," "," ",," "," ",," "," ",," ","Shipments" "NAICS"," ",,"Net","Residual","Distillate",,"LPG and",,"Coke and"," ","of Energy Sources" "Code(a)","Subsector and Industry","Total(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","Breeze","Other(g)","Produced Onsite(h)"

165

Analysis of Dynamic Behavior of a Thermally Coupled Distillation Column Implemented on a Process with Recycles  

Science Journals Connector (OSTI)

Abstract Nowadays, the installation and operation of systems with minimum energy and material consumption is a main objective in the industrial ambit; this goal can be achieved through the implementation of recycle streams to recover raw materials and the use of energy integration techniques to minimize utilities requirements. However, when a process is highly integrated, e.g. processes with recycle streams and energy integration or thermal couplings, systems can present control problems. Several studies for Reactor-Separation-Recycle (RSR) systems using separation systems with conventional distillation columns have been reported, but few works have focused on energy-integrated columns or thermally coupled distillation sequences. This work presents a comparison between the dynamic behavior of a thermally coupled distillation column with side rectifier implemented within a RSR system and that obtained with a conventional distillation sequence.

D. Mascote-Prez; A. Snchez-Hijar; N. Ramrez-Corona; A. Jimnez-Gutierrez

2012-01-01T23:59:59.000Z

166

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

167

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

168

PCB fluxes from the sediment to the water column following resuspension A column experiment  

E-Print Network [OSTI]

PCB fluxes from the sediment to the water column following resuspension ­ A column experiment confirmed that many French rivers and lakes sediments are contaminated by PCBi at levels ranging from 50 of cubic meters of contaminated sediments and to improve the understanding of the behavior of PCB

Paris-Sud XI, Université de

169

Table A12. Selected Combustible Inputs of Energy for Heat, Power, and  

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

Type" Type" " and End Use, 1994: Part 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,"Residual","Distillate",,,"(excluding","RSE" "SIC",,"Net Demand","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code(a)","End-Use Categories","for Electricity(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and Breeze)","Factors" "20-39","ALL INDUSTRY GROUPS" ,"RSE Column Factors:",0.5,1.4,1.4,0.8,1.2,1.2 ,"TOTAL INPUTS",3132,441,152,6141,99,1198,2.4

170

Table A38. Selected Combustible Inputs of Energy for Heat, Power, and  

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

2" 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,"Net Demand","Residual","Distillate",,,"(excluding","RSE" "SIC",,"for Electri-","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code","End-Use Categories","city(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and Breeze)","Factors" "20-39","ALL INDUSTRY GROUPS" ,"RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6 ,"TOTAL INPUTS",2799,414,139,5506,105,1184,3 ,"Boiler Fuel",32,296,40,2098,18,859,3.6 ,"Total Process Uses",2244,109,34,2578,64,314,4.1

171

Industrial microbiology  

Science Journals Connector (OSTI)

...include the fruit, wine, baking, milling, dairy, and distill-ing industries...fructose known as high fruc-tose corn syrup. Between 500,000 and 1...glucose isomerase has permitted the corn wet milling industry to capture 30 percent of...

AL Demain

1981-11-27T23:59:59.000Z

172

Current Status of High Resolution Column Technology for Gas Chromatography  

Science Journals Connector (OSTI)

......work in high-resolution gas-solid chromatography...developments in high- resolution gas chromatographic column...illary or high-resolution gas chromatography. Of these...column material is its high cost compared to glass columns...re sulting from column production, and requires deactivation......

Mary A. Kaiser; Matthew S. Klee

1986-09-01T23:59:59.000Z

173

ARM - Field Campaign - Two-Column Aerosol Project (TCAP)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsTwo-Column Aerosol Project (TCAP) govCampaignsTwo-Column Aerosol Project (TCAP) Campaign Links TCAP website Related Campaigns Two-Column Aerosol Project (TCAP): Field Evaluation of Real-time Cloud OD Sensor TWST 2013.04.15, Scott, AMF Two-Column Aerosol Project (TCAP): Winter Aerosol Effects on Cloud Formation 2013.02.04, Cziczo, AMF Two-Column Aerosol Project (TCAP): CU GMAX-DOAS Deployment 2012.07.15, Volkamer, AMF Two-Column Aerosol Project (TCAP): Aerosol Light Extinction Measurements 2012.07.15, Dubey, AMF Two-Column Aerosol Project (TCAP): Aerial Campaign 2012.07.07, Berg, AAF Two-Column Aerosol Project (TCAP): Aerodynamic Particle Sizer 2012.07.01, Berg, AMF Two-Column Aerosol Project (TCAP): KASPRR Engineering Tests 2012.07.01, Mead, AMF Two-Column Aerosol Project (TCAP): Airborne HSRL and RSP Measurements

174

Mass transfer in a wetted wall column  

E-Print Network [OSTI]

and downstream calming sections. (Figure 3 ). After the liquid has transversed the length oi' the column it is disengaged from contact with the gas stream by means of a flared nossle and a collection chamber. Provision is made to measure the temperatures... internal diameter were employed. The equipment was operated so that an annular film of liquid flowed dove the column countercurrent to a stream of gas, The amount of liquid that evaporated into the gas was reassured and then used to calculate a mass...

Platt, Allison M

1950-01-01T23:59:59.000Z

175

RSE Table S2.1 and S2.2. Relative Standard Errors for Tables S2.1 and S2.2  

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

S2.1 and S2.2. Relative Standard Errors for Tables S2.1 and S2.2;" S2.1 and S2.2. Relative Standard Errors for Tables S2.1 and S2.2;" " Unit: Percents." " "," "," ",," "," "," "," "," "," ",," " "SIC"," "," ","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Major Group and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)" ,,"Total United States" , 20,"Food and Kindred Products",5,0,8,0,0,0,0,7 21,"Tobacco Products",0,0,0,0,0,0,0,0

176

RSE Table N2.1 and N2.2. Relative Standard Errors for Tables N2.1 and N2.2  

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

N2.1 and N2.2. Relative Standard Errors for Tables N2.1 and N2.2;" N2.1 and N2.2. Relative Standard Errors for Tables N2.1 and N2.2;" " Unit: Percents." " "," " "NAICS"," "," ","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)" ,,"Total United States" , 311,"Food",6,0,8,0,0,0,0,7 312,"Beverage and Tobacco Products",10,0,82,0,0,0,0,9 313,"Textile Mills",19,0,77,3,20,0,0,48 314,"Textile Product Mills",38,0,0,38,27,0,0,42

177

RSE Table S3.1 and S3.2. Relative Standard Errors for Tables S3.1 and S3.2  

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

S3.1 and S3.2. Relative Standard Errors for Tables S3.1 and S3.2;" S3.1 and S3.2. Relative Standard Errors for Tables S3.1 and S3.2;" " Unit: Percents." " "," " "SIC"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Major Group and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" , 20,"Food and Kindred Products",1,1,3,5,1,6,1,0,1 21,"Tobacco Products",4,5,23,53,10,24,1,0,32 22,"Textile Mill Products",2,2,4,16,3,7,1,0,4

178

Nonlinear process model based control of a propylene sidestream draw column  

SciTech Connect (OSTI)

While sidestream draw columns offer the incentives of reduced capital and operating expenses, they also pose more challenging control problems than ordinary distillation columns. This paper describes the application of nonlinear process model based control (PMBC) for composition control of all product streams for a simulation of a distillation column with a liquid sidestream draw. A tray-to-tray simulator of an industrial propylene/propane column that considers 5-min composition analyzer dead time was used to test the nonlinear PMBC controller for setpoint changes, a feed flow rate change, and feed composition changes. The nonlinear PMBC controller used an approximate model based upon the Smoker equation directly to make control decisions. The nonlinear PMBC controller exhibits excellent control performance for all test cases with a maximum relative deviation of the impurity from setpoint of about 10% for the two product streams. The nonlinear PMBC controller provides significantly improved control performance over a conventional single loop control scheme that is currently in industrial use.

Riggs, J.B. (Dept. of Chemical Engineering, Texas Tech Univ., Lubbock, TX (US))

1990-11-01T23:59:59.000Z

179

" 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)"

180

The Behaviour of STeel ColumnS in fire Material -Cross-seCtional CapaCity -ColuMn BuCkling  

E-Print Network [OSTI]

The Behaviour of STeel ColumnS in fire Material - Cross-seCtional CapaCity - ColuMn BuIch december 2012 #12;#12;Structural stability and the general behaviour of steel structures can be described during a fire influence the behaviour of steel structures markedly. Significant advances have been made

Giger, Christine

Note: This page contains sample records for the topic "industries rse column" 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

Industry Perspective  

Broader source: Energy.gov [DOE]

Fuel cell and biogas industries perspectives. Presented by Mike Hicks, Fuel Cell and Hydrogen Energy Association, at the NREL/DOE Biogas and Fuel Cells Workshop held June 11-13, 2012, in Golden, Colorado.

182

BNL | Two-Column Aerosol Program (TCAP)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Two-Column Aerosol Project (TCAP) Two-Column Aerosol Project (TCAP) There remain many key knowledge gaps despite advances in the scientific understanding of how aerosols and clouds evolve and affect climate. Many climatically important processes depend on particles that undergo continuous changes within a size range spanning a few nanometers to a few microns, and with compositions that consist of a variety of carbonaceous materials, soluble inorganic salts and acids and insoluble mineral dust. Primary particles, which are externally-mixed when emitted, are subject to coagulation and chemical changes associated with the condensation of semi-volatile gases to their surface resulting in a spectrum of compositions or mixing-states with a range of climate-affecting optical and hygroscopic properties. The numerical treatments of aerosol transformation

183

Assembly procedure for column cutting platform  

SciTech Connect (OSTI)

This supporting document describes the assembly procedure for the Column Cutting Platform and Elevation Support. The Column Cutting Platform is a component of the 241-SY-101 Equipment Removal System. It is set up on the deck of the Strongback Trailer to provide work access to cut off the upper portion of the Mitigation Pump Assembly (MPA). The Elevation Support provides support for the front of the Storage Container with the Strongback at an inclined position. The upper portion of the MPA must be cut off to install the Containment Caps on the Storage Container. The storage Container must be maintained in an inclined position until the Containment Caps are installed to prevent any residual liquids from migrating forward in the Storage Container.

Routh, R.D.

1995-04-01T23:59:59.000Z

184

Materialization Strategies in a Column-Oriented DBMS  

E-Print Network [OSTI]

There has been renewed interest in column-oriented database architectures in recent years. For read-mostly query workloads such as those found in data warehouse and decision support applications, ``column-stores'' have ...

Abadi, Daniel J.

2006-11-27T23:59:59.000Z

185

Industrial Radiology  

Science Journals Connector (OSTI)

... chief application of industrial radiology in Norway is in the examination of pipe welds in hydroelectric plant. H. Vinter (Denmark), director of the Akademiet for de Technische Videns ... and to compare various methods of non-destructive testing. He gave results of tests on turbine disk forgings of austenitic steel which showed satisfactory agreement between radiography, ultrasonic examination and ...

1950-11-18T23:59:59.000Z

186

Cross flow cyclonic flotation column for coal and minerals beneficiation  

DOE Patents [OSTI]

An apparatus and process for the separation of coal from pyritic impurities using a modified froth flotation system. The froth flotation column incorporates a helical track about the inner wall of the column in a region intermediate between the top and base of the column. A standard impeller located about the central axis of the column is used to generate a centrifugal force thereby increasing the separation efficiency of coal from the pyritic particles and hydrophillic tailings.

Lai, Ralph W. (Upper St. Clair, PA); Patton, Robert A. (Pittsburgh, PA)

2000-01-01T23:59:59.000Z

187

Model Predictive Control of a Kaibel Distillation Column  

E-Print Network [OSTI]

Model Predictive Control of a Kaibel Distillation Column Martin Kvernland Ivar Halvorsen Sigurd (e-mail: skoge@ntnu.no) Abstract: This is a simulation study on controlling a Kaibel distillation column with model predictive control (MPC). A Kaibel distillation column has several advantages compared

Skogestad, Sigurd

188

Active constraint regions for optimal operation of distillation columns  

E-Print Network [OSTI]

Active constraint regions for optimal operation of distillation columns Magnus G. Jacobsen the control structure of distillation columns, with optimal operation in mind, it is important to know how for distillation columns change with variations in energy cost and feed flow rate. The production of the most

Skogestad, Sigurd

189

Heat Pump Application- An Industrial Case Study  

E-Print Network [OSTI]

HEAT PUMP APPLICATION- AN INDUSTRIAL CASE STUDY Deepak Shukla, Ph.D. Sr. Process Engineer TENSA services, Inc. Houston, Texas ABSTRACT The economics of heat pumping across a distillation column is usually dependent on the amount... of additional compressor work required to lift thermal energy from a low source temperature to a high sink temperature. A reduction of this work improves the heat pump economics. This paper presents the results of a heat pump study conducted by TENSA...

Shukla, D.; Umoh, R.

190

Design and Operability of an Energy Integrated Distillation Column  

Science Journals Connector (OSTI)

Abstract Operability issues are investigated on an energy integrated distillation column. The distillation column separates a nearly binary mixture. The energy integration is achieved using an indirect heat pump between the column condenser and the reboiler. The design aim of the integrated is system to enable operation of the distillation column over its entire operating window, through manipulation of the heatpump variables. An additional aim is to provide the operator with a set of standard distillation column actuators, for controlling the distillation column as a conventional distillation column. This secondary aim is attempted achieved, through selection of the control structure of the heat pump. Both simulation and experimental results illustrate areas within the possible operating window where potential operability problems remain dependent upon the selected control configuration. A very large part of the totally possible operating window may be covered by using just one heat pump control structure. However multivariable control avoids singularity of the multiloop structure.

Torben Mnsted Schmidt; Arne Koggersbl; Sten Bay Jrgensen

1992-01-01T23:59:59.000Z

191

Manufacturing Consumption of Energy 1994  

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

A24. A24. Total Inputs of Energy for Heat, Power, and Electricity Generation by Program Sponsorship, Industry Group, Selected Industries, and Type of Energy- Management Program, 1994: Part 1 (Estimates in Trillion Btu) See footnotes at end of table. Energy Information Administration/Manufacturing Consumption of Energy 1994 285 SIC Management Any Type of Sponsored Self-Sponsored Sponsored Sponsored Code Industry Group and Industry Program Sponsorship Involvement Involvement Involvement Involvement a No Energy Electric Utility Government Third Party Type of Sponsorship of Management Programs (1992 through 1994) RSE Row Factors Federal, State, or Local RSE Column Factors: 0.7 1.1 1.0 0.7 1.9 0.9 20-39 ALL INDUSTRY GROUPS Participation in One or More of the Following Types of Programs . .

192

Novel hybrid FRP tubular columns for sustainable mining infrastructure: Recent research at University of Wollongong  

Science Journals Connector (OSTI)

Abstract This paper introduces, for applications in the mining industry, an innovative hybrid column form which consists of an inner steel tube, an outer fibre-reinforced polymer (FRP) tube and an annular concrete infill between them. The two tubes may be concentrically placed to produce a section form more suitable for columns, or eccentrically placed to produce a section form more suitable for beams. The FRP is combined with steel and concrete in these hybrid structural members in such a way that the advantages of FRP are appropriately exploited while its disadvantages are minimized. As a result, these hybrid members possess excellent corrosion resistance as well as excellent ductility and seismic resistance. This paper summarizes existing research on this new form of structural members, and discusses their potential applications in mining infrastructure before presenting a summary of the recent and current studies at University of Wollongong (UOW) on their structural behaviour and design.

Tao Yu; Alex M. Remennikov

2014-01-01T23:59:59.000Z

193

Estimating vent emissions from a distillation column: An alternative to stack testing  

SciTech Connect (OSTI)

This technical paper points out the cost-effectiveness and data manageability of material balance over the epidemic use of stack testing in the chemical industry. An example is drawn from a Title V emissions inventory prepared for an international manufacturer of pharmaceuticals and fuel additives. This example case focuses on the use of mass balance to estimate noncondensibles generated by a typical large-scale distillation column. Distillation fundamentals are reviewed, including discussion of relative volatility, x-y and McCabe-Thiele diagrams, and basic sieve tray mechanics. A seemingly complex set of energy and material balance equations is simplified by the application of constant molar overflow. The example case concludes with a calculation of column noncondensibles, and the paper closes with a review of the material balance approach, including its strengths, limitations, and applicability to other unit operations.

Dickerson, D.L. Jr. [ERM-Southeast, Charleston, SC (United States)

1996-12-31T23:59:59.000Z

194

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

195

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

196

Comparison between a spray column and a sieve tray column operating as liquid-liquid heat exchangers  

SciTech Connect (OSTI)

The performance of a spray column and a sieve tray column was compared as a liquid-liquid heat exchanger. In carrying out these studies a 15.2 cm (6.0 in.) diameter column, 183 cm (6.0 ft) tall was utilized. The performance of the spray column as a heat exchanger was shown to correlate with the model of Letan-Kehat which has as a basis that the heat transfer is dominated by the wakeshedding characteristics of the drops over much of the column length. This model defines several hydrodynamic zones along the column of which the wake formation zone at the bottom appears to have the most efficient heat transfer. The column was also operated with four perforated plates spaced two column diameters apart in order to take advantage of the wake formation zone heat transfer. The plates induce coalescence of the dispersed phase and reformation of the drops, and thus cause a repetition of the wake formation zone. It is shown that the overall volumetric heat transfer coefficient in a perforated plate column is increased by a minimum of eleven percent over that in a spray column. A hydrodynamic model that predicts the performance of a perforated plate column is suggested.

Keller, A.; Jacobs, H.R.; Boehm, R.F.

1980-12-01T23:59:59.000Z

197

Intemodal Equipment Ron Sucik RSE Consulting  

E-Print Network [OSTI]

Constitution with exclusive charge of the operations, administration, management, preservation, maintenance. BAF ­ Bunker Adjustment Factor: Additional charge levied on the shippers to compensate: A warehouse or other specialized building, often with refrigeration or air conditioning, which is used

Bustamante, Fabián E.

198

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board October 15, 2010 #12;Mechanical & Industrial Engineering 2 MIE Dorothy Adams Undergraduate/Graduate Secretary David Schmidt Associate Professor & Graduate Program Director #12;Mechanical & Industrial Engineering 3 MIE James Rinderle

Mountziaris, T. J.

199

Industry Perspective  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

idatech.com idatech.com info@idatech.com 63065 NE 18 th Street Bend, OR 97701 541.383.3390 Industry Perspective Biogas and Fuel Cell Workshop National Renewable Energy Laboratory June 11 - 13, 2012 Mike Hicks Chairman of the Board of Directors, FCHEA Treasurer of the Board of Directors, FCS&E Engineering Manager, Technology Development & Integration, IdaTech Outline 1. Critical Factors * Fuel Purity * Fuel Cost 2. Natural Gas - The Wild Card & Competition 3. IdaTech's Experience Implementing Biofuel Critical Factor - Fuel Purity All fuel cell system OEMs have fuel purity specifications * Independent of * Raw materials or feed stocks * Manufacturing process * Depends on * Fuel processor technology * Fuel cell technology - low temp PEM versus SOFC

200

" 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

Note: This page contains sample records for the topic "industries rse column" 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

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

202

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

203

Engineering Industrial & Systems  

E-Print Network [OSTI]

Industrial Engineering Department of Industrial & Systems Engineering Leslie Monplaisir, Ph powerful tool sets used in industry today. -Brent Gillett, BSIE 2007 Advanced Planning Engineer at BMW I is available at: http://ise.wayne.edu/bs-industrial/index What is Industrial Engineering? The industrial

Berdichevsky, Victor

204

INDUSTRIAL ENGINEERING Industrial engineering is concerned  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. Industrial engineers design and run the factories and systems

205

INDUSTRIAL ENGINEERING Industrial engineering is concerned  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. The focus of industrial engineering is on process improvement

206

IMPROVED PRUNING IN COLUMN GENERATION OF A VEHICLE ROUTING PROBLEM  

E-Print Network [OSTI]

column generation, shadow price model 1. Introduction The German automobile club ADAC (Allgemeiner Deutscher Automobil- Club) maintains a heterogeneous fleet of service vehicles in order to assist people

Krumke, Sven O.

207

Design of Earthquake Resistant Bridges Using Rocking Columns  

E-Print Network [OSTI]

Self-Compacting Concrete being2.2.2 Self-Compacting Concrete . . . . . 2.3 Bridge ColumnsBRIDGE CONSTRUCTION Self-Compacting Concrete The mechanical

Barthes, Clement Benjamin

2012-01-01T23:59:59.000Z

208

The Two-Column Aerosol Project Definitions TCAP Educational  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

What's the big deal about aerosols? The Two-Column Aerosol Project Definitions TCAP Educational Outreach Activity About ARM: The Atmospheric Radiation Measurement (ARM) Climate...

209

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:...

210

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...

211

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

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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:...

212

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:...

213

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...

214

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...

215

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

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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:...

216

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:...

217

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:...

218

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...

219

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:...

220

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:...

Note: This page contains sample records for the topic "industries rse column" 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

Manufacturing Consumption of Energy 1994  

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

0. 0. Number of Establishments that Actually Switched Fuels from Natural Gas to Residual Fuel Oil, by Industry Group and Selected Industries, 1994 369 Energy Information Administration/Manufacturing Consumption of Energy 1994 SIC Residual Fuel Oil Total Code Industry Group and Industry (billion cu ft) Factors (counts) (counts) (percents) (counts) (percents) a Natural Gas Switchable to Establishments RSE Row Able to Switch Actually Switched RSE Column Factors: 1.3 0.1 1.4 1.7 1.6 1.8 20 Food and Kindred Products . . . . . . . . . . . . . . . . . . . . . . . . . 81 14,698 702 4.8 262 1.8 5.6 2011 Meat Packing Plants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 759 23 3.0 10 1.3 9.0 2033 Canned Fruits and Vegetables . . . . . . . . . . . . . . . . . . . . . 9 531 112 21.2 33 6.2 11.6 2037 Frozen Fruits and Vegetables . . . . . . . . . . . . . . . . . . . . . . 5 232 Q 5.3

222

Table 2.2 Nonfuel (Feedstock) Use of Combustible Energy, 2002  

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

2 Nonfuel (Feedstock) Use of Combustible Energy, 2002;" 2 Nonfuel (Feedstock) Use of Combustible Energy, 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","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

223

" 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"

224

Table 7.9 Expenditures for Purchased Energy Sources, 2002  

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

9 Expenditures for Purchased Energy Sources, 2002;" 9 Expenditures for Purchased Energy Sources, 2002;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Million U.S. Dollars." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ",,"Residual","Distillate","Natural ","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

225

table11.6_02.xls  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of RSE Economic Sales and Utility Nonutility Row Characteristic(a) Transfers Offsite Purchaser(b)...

226

Table 5.17. U.S. Number of Households by Vehicle Fuel Expenditures...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

5.17. U.S. Number of Households by Vehicle Fuel Expenditures, 1994 (Continued) (Million Households) 1993 Household and 1994 Vehicle Characteristics RSE Column Factor: All...

227

The Book Review Column1 by William Gasarch  

E-Print Network [OSTI]

The Book Review Column1 by William Gasarch Department of Computer Science University of Maryland at College Park College Park, MD, 20742 email: gasarch@cs.umd.edu In this column we review the following books. 1. Excellence Without a Soul: How a Great University Forgot Education by Harry Lewis. Review

Gasarch, William Ian

228

The Book Review Column1 by William Gasarch  

E-Print Network [OSTI]

The Book Review Column1 by William Gasarch Department of Computer Science University of Maryland at College Park College Park, MD, 20742 email: gasarch@cs.umd.edu In this column we review the following books. 1. Symbolic Asymptotics by John R. Shackell. Review by James C. Beaumont. Given two functions f

Gasarch, William Ian

229

THERMAL MODELING OF ION EXCHANGE COLUMNS WITH SPHERICAL RF RESIN  

SciTech Connect (OSTI)

Models have been developed to simulate the thermal performance of RF columns fully loaded with radioactive cesium. Temperature distributions and maximum temperatures across the column were calculated during Small Column Ion Exchange (SCIX) process upset conditions with a focus on implementation at Hanford. A two-dimensional computational modeling approach was taken to include conservative, bounding estimates for key parameters such that the results will provide the maximum centerline temperatures achievable under the design configurations using a feed composition known to promote high cesium loading on RF. The current full-scale design for the SCIX system includes a central cooling tube, and one objective of these calculations was to examine its elimination to simplify the design. Results confirmed that a column design without a central cooling tube is feasible for RF, allowing for the possibility of significant design simplifications if it can be assumed that the columns are always filled with liquid. With active cooling through the four outer tubes, the maximum column diameter expected to maintain the temperature below the assumed media and safety limits is 26 inches, which is comparable to the current design diameter. Additional analysis was conducted to predict the maximum column temperatures for the previously unevaluated accident scenario involving inadvertent drainage of liquid from a cesium-saturated column, with retention of the ion exchange media and cesium in the column. As expected, much higher maximum temperatures are observed in this case due to the poor heat transfer properties of air versus liquid. For this hypothetical accident scenario involving inadvertent and complete drainage of liquid from a cesium-saturated column, the modeling results indicate that the maximum temperature within a 28 inch diameter RF column with external cooling is expected to exceed 250 C within 2 days, while the maximum temperature of a 12 inch column is maintained below 100 C. In addition, the calculation results demonstrate that the cooling tube system external to an air-filled column is not highly effective at reducing the maximum temperature, but the baseline design using a central cooling tube inside the column provides sufficient cooling to maintain the maximum temperature near the assumed safety limit.

Lee, S.; King, W.

2009-12-30T23:59:59.000Z

230

HEAT TRANSFER ANALYSIS FOR FIXED CST AND RF COLUMNS  

SciTech Connect (OSTI)

In support of a small column ion exchange (SCIX) process for the Savannah River Site waste processing program, transient and steady state two-dimensional heat transfer models have been constructed for columns loaded with cesium-saturated crystalline silicotitanate (CST) or spherical Resorcinol-Formaldehyde (RF) beads and 6 molar sodium tank waste supernate. Radiolytic decay of sorbed cesium results in heat generation within the columns. The models consider conductive heat transfer only with no convective cooling and no process flow within the columns (assumed column geometry: 27.375 in ID with a 6.625 in OD center-line cooling pipe). Heat transfer at the column walls was assumed to occur by natural convection cooling with 35 C air. A number of modeling calculations were performed using this computational heat transfer approach. Minimal additional calculations were also conducted to predict temperature increases expected for salt solution processed through columns of various heights at the slowest expected operational flow rate of 5 gpm. Results for the bounding model with no process flow and no active cooling indicate that the time required to reach the boiling point of {approx}130 C for a CST-salt solution mixture containing 257 Ci/liter of Cs-137 heat source (maximum expected loading for SCIX applications) at 35 C initial temperature is about 6 days. Modeling results for a column actively cooled with external wall jackets and the internal coolant pipe (inlet coolant water temperature: 25 C) indicate that the CST column can be maintained non-boiling under these conditions indefinitely. The results also show that the maximum temperature of an RF-salt solution column containing 133 Ci/liter of Cs-137 (maximum expected loading) will never reach boiling under any conditions (maximum predicted temperature without cooling: 88 C). The results indicate that a 6-in cooling pipe at the center of the column provides the most effective cooling mechanism for reducing the maximum temperature with either ion exchange material. Sensitivity calculations for the RF resin porosity, the ambient external column temperature, and the cooling system configuration were performed under the baseline conditions to assess the impact of these parameters on the maximum temperatures. It is noted that the cooling mechanism at the column boundary (forced versus natural convection) and the cooling system configuration significantly impact the maximum temperatures. The analysis results provide quantitative information associated with process temperature control requirements and management of the SCIX column.

Lee, S

2007-10-17T23:59:59.000Z

231

Design of dual column water purification system for industrial gamma irradiator based of PUROLITE resins  

Science Journals Connector (OSTI)

Abstract When gamma irradiators are not in use, they have to be stored in nuclear grade water pool. This water serves as shielding and the medium for the removal of generated heat. To prevent corrosion damage to the gamma source and other equipment a purification system controls the water quality. Also, this system serves as the make-up water system for supplies and maintains the de-ionized water level in the gamma source storage pool. In this paper, the design of the dual system for purification and make-up water for optimal water supply and its chemical parameters in the gamma source storage pool is presented. For this purpose, the characteristics of activated carbon purifier, anionic and cationic demineralizers have been determined. Aerb Safety Standard, Purolite Ion Exchange Design Code and Canadian Water Refining Company Manual have been used to design IR-136 gamma irradiator storage pool purification and make-up water system. The main objective of the design is to maintain water purity throughout the storage time.

Reza Gholizadeh Aghoyeh; Hossein Khalafi

2014-01-01T23:59:59.000Z

232

and Industrial Engineering  

E-Print Network [OSTI]

45 Mechanical and Industrial Engineering 220 Engineering Lab Degrees: Bachelor of Science in Mechanical Engineering Bachelor of Science in Industrial Engineering Contact: James R. Rinderle to prosthetic limbs to windmills, and their myriad components. Industrial engineers are concerned

Mountziaris, T. J.

233

Industrial and Systems engineering  

E-Print Network [OSTI]

Industrial and Systems engineering COLLEGE of ENGINEERING DepartmentofIndustrialandSystemsEngineering EDGE Engineering Entrepreneur Certificate Program is a great addition to an industrial and systems to expert clinical recommendations. engineering.wayne.edu/isefaculty Industrial and systems engineering

Berdichevsky, Victor

234

Commentary on industrial processes  

Science Journals Connector (OSTI)

...crucial for an industrial process, namely: catalyst activity...of catalysis to industrial processes. The papers, however, do...at the heart of successful commercialization of catalytic science and technology...addressed in any industrial process, namely: activity-the...

2005-01-01T23:59:59.000Z

235

Uranium industry annual 1997  

SciTech Connect (OSTI)

This report provides statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing.

NONE

1998-04-01T23:59:59.000Z

236

table11.5_02.xls  

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

5 Electricity: Sales to Utility and Nonutility Purchasers, 2002; 5 Electricity: Sales to Utility and Nonutility Purchasers, 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of RSE NAICS Sales and Utility Nonutility Row Code(a) Subsector and Industry Transfers Offsite Purchaser(b) Purchaser(c) Factors Total United States RSE Column Factors: 1 0.9 1 311 Food 708 380 328 31 311221 Wet Corn Milling 248 W W 20.1 31131 Sugar 8 8 0 1 311421 Fruit and Vegetable Canning 28 W W 1 312 Beverage and Tobacco Products W W W 1 3121 Beverages W W W 1 3122 Tobacco W W 0 1 313 Textile Mills W W W 1.8 314 Textile Product Mills 0 0 0 0 315 Apparel 0 0 0 0 316 Leather and Allied Products

237

table5.1_02  

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

End Uses of Fuel Consumption, 2002; 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 Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) (billion cu ft) (million bbl) (million short tons) (trillion Btu) Factors Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES RSE Column Factors: 0.3 1 1 2.4 1.1 1.4 1 NF TOTAL FUEL CONSUMPTION 16,273 832,257 33 24 5,641 26 53 6,006 3.4 Indirect Uses-Boiler Fuel -- 3,540 20 6

238

table7.10_02.xls  

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

0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2002; 0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam; Unit: Million U.S. Dollars. Electricity Components Natural Gas Components Steam Components Electricity Natural Gas Steam Electricity from Sources Natural Gas from Sources Steam from Sources RSE NAICS Electricity from Local Other than Natural Gas from Local Other than Steam from Local Other than Row Code(a) Subsector and Industry Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Factors Total United States RSE Column Factors: 0.9 1 1.3 1 1.4

239

table8.1_02.xls  

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. RSE NAICS Row Code(a) Energy-Management Activity No Participation Participation(b) In-house Other Don't Know Factors Total United States RSE Column Factors: 0.9 1.4 0.9 0.9 1 311 - 339 ALL MANUFACTURING INDUSTRIES Participation in One or More of the Following Types of Activities 120,362 80,348 -- -- -- 1 Energy Audits 165,216 35,494 14,845 15,890 4,760 2.3 Direct Electricity Load Control 171,940 28,770 13,652 9,986 5,132 2.5 Special Rate Schedule (c)

240

table9.1_02.xls  

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 Code(a) Subsector and Industry (million sq ft) (counts) (sq ft) (counts) (counts) Factors Total United States RSE Column Factors: 0 0 0 0 0 311 Food 751 15,089 102,589.2 26,438 3.0 0 311221 Wet Corn Milling 5 49 239,993.7 428 13.0 0 31131 Sugar 17 77 418,497.0 821 15.2 0

Note: This page contains sample records for the topic "industries rse column" 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

table5.3_02  

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 Code(a) End Use (million kWh) (million bbl) (million bbl) (billion cu ft) (million bbl) (million short tons) Factors Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES RSE Column Factors: NF 1 2.4 1.1 1.4 1 TOTAL FUEL CONSUMPTION 966,231 33 24 5,641 26 53 3.4 Indirect Uses-Boiler Fuel 6,714 20 6 2,105 2 35 5.3 Conventional Boiler Use

242

SENSITIVITY ANALYSIS FOR SALTSTONE DISPOSAL UNIT COLUMN DEGRADATION ANALYSES  

SciTech Connect (OSTI)

PORFLOW related analyses supporting a Sensitivity Analysis for Saltstone Disposal Unit (SDU) column degradation were performed. Previous analyses, Flach and Taylor 2014, used a model in which the SDU columns degraded in a piecewise manner from the top and bottom simultaneously. The current analyses employs a model in which all pieces of the column degrade at the same time. Information was extracted from the analyses which may be useful in determining the distribution of Tc-99 in the various SDUs throughout time and in determining flow balances for the SDUs.

Flach, G.

2014-10-28T23:59:59.000Z

243

MODELING AND SIMULATION OF SOLID FLUIDIZATION IN A RESIN COLUMN  

SciTech Connect (OSTI)

The objective of the present work is to model the resin particles within the column during fluidization and sedimentation processes using computation fluid dynamics (CFD) approach. The calculated results will help interpret experimental results, and they will assist in providing guidance on specific details of testing design and establishing a basic understanding of particles hydraulic characteristics within the column. The model is benchmarked against the literature data and the test data (2003) conducted at Savannah River Site (SRS). The paper presents the benchmarking results and the modeling predictions of the SRS resin column using the improved literature correlations applicable for liquid-solid granular flow.

Lee, S.

2014-06-24T23:59:59.000Z

244

Improved direct and indirect systems of columns for ternary distillation  

SciTech Connect (OSTI)

Separation of a ternary mixture into almost pure components is discussed. Systems of distillation columns, with higher thermodynamic efficiency, are developed from a direct sequence (or indirect sequence) of distillation columns by allowing for two interconnecting streams of the same composition and different enthalpy. This increases the reversibility of distillation in the second column, which results in replacing a portion of the high-temperature boiling duty with a lower-temperature heat in the direct split case. For the indirect split case, the improvement allows a portion of the low-temperature condensing duty to be replaced with a higher-temperature condensation.

Agrawal, R.; Fidkowski, Z.T. [Air Products and Chemicals, Inc., Allentown, PA (United States)] [Air Products and Chemicals, Inc., Allentown, PA (United States)

1998-04-01T23:59:59.000Z

245

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Demand Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Demand Module calculates energy consumption for the four Census Regions (see Figure 5) and disaggregates the energy consumption

246

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided into the energy- intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Module calculates

247

ARM - Field Campaign - Summer Single Column Model IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsSummer Single Column Model IOP govCampaignsSummer Single Column Model IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Summer Single Column Model IOP 1997.06.18 - 1997.07.18 Lead Scientist : David Randall Data Availability Actual data files for a number of past SCM IOPs are available from the ARM Archive IOP Server Cloud and Radiation Products Derived from Satellite Data Colorado State's Single Column Modeling Home Page For data sets, see below. Summary During the IOP, 1180 sondes were launched, with 4 missing data due to weather related problems and 24 terminating before 10,000 m (10 km). Description The Summer 1997 SCM IOP was scheduled with the SGP97 Campaign. With additional NASA funding, the IOP was extended so that the total IOP covered

248

ARM - Field Campaign - Winter Single Column Model IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsWinter Single Column Model IOP govCampaignsWinter Single Column Model IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Winter Single Column Model IOP 1999.01.19 - 1999.02.08 Lead Scientist : David Randall Data Availability Actual data files for a number of past SCM IOPs are available from the ARM Archive under IOPs/UAV. Cloud and Radiation Products Derived from Satellite Data Colorado State's Single Column Modeling Home Page For data sets, see below. Description A second winter SCM IOP was conducted (1/19 - 2/8/99) to provide additional sampling of winter weather conditions. This was the first SCM IOP where AERIs and ceilometers were installed at the boundary facilities to give retrievals of temperature and moisture to supplement the sounding data. A

249

ARM - Publications: Science Team Meeting Documents: Ensemble Single Column  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Ensemble Single Column Modelling (ESCM) in the Tropical Western Pacific Ensemble Single Column Modelling (ESCM) in the Tropical Western Pacific Hume, Timothy Bureau of Meteorology Research Centre Jakob, Christian BMRC Single column models (SCMs) are useful tools for the evaluation of parameterisations of radiative and moist processes used in general circulation models. Most SCM studies to date have concentrated on regions where there is a sufficiently dense observational network to derive the required forcing data, such as the Southern Great Plains. This poster describes an ensemble single column modelling (ESCM) approach, where an ensemble of SCM forcing data sets are derived from numerical weather prediction (NWP) analyses. The technique is applied to SCM runs at the Manus Island and Nauru ARM sites in the Tropical Western Pacific (TWP). It

250

ARM - Field Campaign - Two-Column Aerosol Project (TCAP): Ground...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Discovery Browse Data Related Campaigns Two-Column Aerosol Project (TCAP) 2012.07.01, Berg, AMF Comments? We would love to hear from you Send us a note below or call us at...

251

ARM - Field Campaign - Two-Column Aerosol Project (TCAP): Winter...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Discovery Browse Data Related Campaigns Two-Column Aerosol Project (TCAP) 2012.07.01, Berg, AMF Comments? We would love to hear from you Send us a note below or call us at...

252

ARM - Field Campaign - Two-Column Aerosol Project (TCAP): Aerial...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Discovery Browse Data Related Campaigns Two-Column Aerosol Project (TCAP) 2012.07.01, Berg, AMF Comments? We would love to hear from you Send us a note below or call us at...

253

ARM - Field Campaign - Two-Column Aerosol Project (TCAP): Airborne...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Discovery Browse Data Related Campaigns Two-Column Aerosol Project (TCAP) 2012.07.01, Berg, AMF Comments? We would love to hear from you Send us a note below or call us at...

254

Operating Parameters in the Column Flotation of Alabama Oil Shale  

Science Journals Connector (OSTI)

A factionally designed experiment performed in a one meter column flotation cell identified the important factors affecting the flotation of eastern oil shales. These initial tests were performed in a...

C. W. Schultz; John B. Bates

1990-01-01T23:59:59.000Z

255

New developments in the primal-dual column generation technique  

E-Print Network [OSTI]

Jan 24, 2011 ... problem (CSP), the vehicle routing problem with time windows (VRPTW), and the .... Actually, any column with a negative reduced cost can be added to the RMP. ...... OBOE: the Oracle Based Optimization Engine, 2010.

2011-01-24T23:59:59.000Z

256

ARM - Field Campaign - Summer Single Column Model IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

: Summer Single Column Model IOP 1999.07.12 - 1999.07.22 Lead Scientist : David Randall Data Availability Data Plots from Colorado State University Data Plots from Livermore...

257

ARM - Field Campaign - Spring Single Column Model IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

: Spring Single Column Model IOP 1999.03.01 - 1999.03.22 Lead Scientist : David Randall Data Availability Actual data files for a number of past SCM IOPs are available from...

258

ARM - Field Campaign - Spring 1995 Single Column Model IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

: Spring 1995 Single Column Model IOP 1995.04.01 - 1995.04.30 Lead Scientist : David Randall Data Availability Data Plots from Colorado State University Data Plots from Livermore...

259

ARM - Field Campaign - Summer 1995 Single Column Model IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

: Summer 1995 Single Column Model IOP 1995.07.01 - 1995.07.31 Lead Scientist : David Randall Data Availability Data Plots from Colorado State University Data Plots from Livermore...

260

Treatments of Inhomogeneous Clouds in a GCM Column Radiation...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

version of the three- dimensional (3D) CRM described in detail by Khairoutdinov and Randall (2003) into each grid column of a realistic GCM, the NCAR Community Atmosphere Model...

Note: This page contains sample records for the topic "industries rse column" 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

ARM - Field Campaign - Fall 1994 Single Column Model IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

: Fall 1994 Single Column Model IOP 1994.10.01 - 1994.10.31 Lead Scientist : David Randall Data Availability Data Plots from Colorado State University Data Plots from Livermore...

262

Practical Application of Distillation Column Energy Control Systems  

E-Print Network [OSTI]

Closed loop computer control of an ethylene column has been shown to save $350/day in improved ethylene recovery and $150/day in reduced energy consumption. These savings are achieved through material balance optimization and energy balance...

Matthews, S. A.

1980-01-01T23:59:59.000Z

263

METHOD TO TEST ISOTOPIC SEPARATION EFFICIENCY OF PALLADIUM PACKED COLUMNS  

SciTech Connect (OSTI)

The isotopic effect of palladium has been applied in different ways to separate hydrogen isotopes for many years. At Savannah River Site palladium deposited on kieselguhr (Pd/k) is used in a thermal cycling absorption process (TCAP) to purify tritium for over ten years. The need to design columns for different throughputs and the desire to advance the performance of TCAP created the need to evaluate different column designs and packing materials for their separation efficiency. In this work, columns with variations in length, diameter and metal foam use, were tested using an isotope displacement method. A simple computer model was also developed to calculate the number of theoretical separation stages using the test results. The effects of column diameter, metal foam and gas flow rate were identified.

Heung, L; Gregory Staack, G; James Klein, J; William Jacobs, W

2007-06-27T23:59:59.000Z

264

High speed electrical power takeoff for oscillating water columns  

E-Print Network [OSTI]

This thesis describes research into electrical power takeoff mechanisms for Oscillating Water Column (OWC) wave energy devices. The OWC application is studied and possible alternatives to the existing Induction Generator ...

Hodgins, Neil

2010-01-01T23:59:59.000Z

265

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

266

INDUSTRIAL ENGINEERING GRADUATE PROGRAMS  

E-Print Network [OSTI]

INDUSTRIAL ENGINEERING GRADUATE PROGRAMS The Master of Science in Industrial Engineering (M Systems and Engineering (M.S.M.S.E.), the Doctor of Philosophy in Industrial Engineering, and the Doctor of Philosophy in Systems and Engineering Management programs prepare competent industrial engineers

Gelfond, Michael

267

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board May 5th, 2011 #12;Mechanical & Industrial Engineering 2 IAB 2010-2011 · David K. Anderson ­ Alden Research Laboratory, Inc went on for three weeks Mechanical & Industrial Engineering 6 #12;Reza Shahbazian Yassar Mechanical

Mountziaris, T. J.

268

Career Map: Industrial Engineer  

Broader source: Energy.gov [DOE]

The Wind Program's Career Map provides job description information for Industrial Engineer positions.

269

Climate VISION: Industry Associations  

Office of Scientific and Technical Information (OSTI)

Industry Associations Industry Associations Aluminum Aluminum Association (Coordinating aluminum industry Climate VISION activities) The Aluminum Association, Inc. is the trade association for producers of primary aluminum, recyclers and semi-fabricated aluminum products, as well as suppliers to the industry. The Association provides leadership to the industry through its programs and services which aim to enhance aluminum's position in a world of proliferating materials, increase its use as the "material of choice," remove impediments to its fullest use, and assist in achieving the industry's environmental, societal, and economic objectives. Automobile Manufacturers Alliance of Automobile Manufacturers (Coordinating automobile industry Climate VISION activities) The Alliance of Automobile Manufacturers, Inc. is a trade association

270

Revised Thermal Analysis of LANL Ion Exchange Column  

SciTech Connect (OSTI)

This document updates a previous calculation of the temperature distributions in a Los Alamos National Laboratory (LANL) ion exchange column.1 LANL operates two laboratory-scale anion exchange columns, in series, to extract Pu-238 from nitric acid solutions. The Defense Nuclear Facilities Safety Board has requested an updated analysis to calculate maximum temperatures for higher resin loading capacities obtained with a new formulation of the Reillex HPQ anion exchange resin. The increased resin loading capacity will not exceed 118 g plutonium per L of resin bed. Calculations were requested for normal operation of the resin bed at the minimum allowable solution feed rate of 30 mL/min and after an interruption of flow at the end of the feed stage, when one of the columns is fully loaded. The object of the analysis is to demonstrate that the decay heat from the Pu-238 will not cause resin bed temperatures to increase to a level where the resin significantly degrades. At low temperatures, resin bed temperatures increase primarily due to decay heat. At {approx}70 C a Low Temperature Exotherm (LTE) resulting from the reaction between 8-12 M HNO{sub 3} and the resin has been observed. The LTE has been attributed to an irreversible oxidation of pendant ethyl benzene groups at the termini of the resin polymer chains by nitric acid. The ethyl benzene groups are converted to benzoic acid moities. The resin can be treated to permanently remove the LTE by heating a resin suspension in 8M HNO{sub 3} for 30-45 minutes. No degradation of the resin performance is observed after the LTE removal treatment. In fact, heating the resin in boiling ({approx}115-120 C) 12 M HNO{sub 3} for 3 hr displays thermal stability analogous to resin that has been treated to remove the LTE. The analysis is based on a previous study of the SRS Frames Waste Recovery (FWR) column, performed in support of the Pu-238 production campaign for NASA's Cassini mission. In that study, temperature transients following an interruption of flow to the column were calculated. The transient calculations were terminated after the maximum resin bed temperature reached the Technical Standard of 60 C, which was set to prevent significant resin degradation. The LANL column differs from the FWR column in that it has a significantly smaller radius, 3.73 cm nominal versus approximately 28 cm. It follows that natural convection removes heat much more effectively from the LANL column, so that the column may reach thermal equilibrium. Consequently, the calculations for a flow interruption were extended until an approach to thermal equilibrium was observed. The LANL ion exchange process also uses a different resin than was used in the FWR column. The LANL column uses Reillex HPQ{trademark} resin, which is more resistant to attack by nitric acid than the Ionac 641{trademark} resin used in the FWR column. Heat generation from the resin oxidation reaction with nitric acid is neglected in this analysis since LANL will be treating the resin to remove the LTE prior to loading the resin in the columns. Calculations were performed using a finite difference computer code, which incorporates models for absorption and elution of plutonium and for forced and natural convection within the resin bed. Calculations for normal column operation during loading were performed using an initial temperature and a feed temperature equal to the ambient air temperature. The model for the normal flow calculations did not include natural convection within the resin bed. The no flow calculations were started with the temperature and concentration profiles at the end of the loading stage, when there would be a maximum amount of plutonium either adsorbed on the resin or in the feed solution in the column.

Laurinat, J

2006-04-11T23:59:59.000Z

271

E-Print Network 3.0 - azeotropic distillation columns Sample...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

closed (total reflux) operation of the conventional batch distillation column with a condenser... in closed middle vessel batch distillation column (solid ... Source: Skogestad,...

272

High pressure humidification columns: Design equations, algorithm, and computer code  

SciTech Connect (OSTI)

This report describes the detailed development of a computer model to simulate the humidification of an air stream in contact with a water stream in a countercurrent, packed tower, humidification column. The computer model has been developed as a user model for the Advanced System for Process Engineering (ASPEN) simulator. This was done to utilize the powerful ASPEN flash algorithms as well as to provide ease of use when using ASPEN to model systems containing humidification columns. The model can easily be modified for stand-alone use by incorporating any standard algorithm for performing flash calculations. The model was primarily developed to analyze Humid Air Turbine (HAT) power cycles; however, it can be used for any application that involves a humidifier or saturator. The solution is based on a multiple stage model of a packed column which incorporates mass and energy, balances, mass transfer and heat transfer rate expressions, the Lewis relation and a thermodynamic equilibrium model for the air-water system. The inlet air properties, inlet water properties and a measure of the mass transfer and heat transfer which occur in the column are the only required input parameters to the model. Several example problems are provided to illustrate the algorithm`s ability to generate the temperature of the water, flow rate of the water, temperature of the air, flow rate of the air and humidity of the air as a function of height in the column. The algorithm can be used to model any high-pressure air humidification column operating at pressures up to 50 atm. This discussion includes descriptions of various humidification processes, detailed derivations of the relevant expressions, and methods of incorporating these equations into a computer model for a humidification column.

Enick, R.M. [Pittsburgh Univ., PA (United States). Dept. of Chemical and Petroleum Engineering; Klara, S.M. [USDOE Pittsburgh Energy Technology Center, PA (United States); Marano, J.J. [Burns and Roe Services Corp., Pittsburgh, PA (United States)

1994-07-01T23:59:59.000Z

273

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 27 data.

274

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

275

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

276

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

277

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

278

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

279

Users from Industry  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Users from Industry Users from Industry Users from Industry Print The Advanced Light Source (ALS) welcomes industrial users from large and small companies whose projects advance scientific knowledge, investigate the development of new products and manufacturing methods, or provide economic benefits and jobs to the economy. The nature of industrial research can be different from traditional university and government sponsored projects, so the ALS has created unique opportunities for new and existing industrial users to access our user facilities and engage in productive relationships with our scientific and engineering staff. Examples of past and current research conducted at the ALS can be viewed on the Industry @ ALS Web page. There are several modes of access; the ALS User and Scientific Support Groups are especially committed to helping new industrial users gain a foothold in our user community and welcome inquiries about how to make that happen.

280

Industry 4.0  

Science Journals Connector (OSTI)

Industry is the part of an economy that produces material goods which are highly mechanized and automatized. Ever since the beginning of industrialization, technological leaps have led to paradigm shifts which to...

Dr. Heiner Lasi

2014-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "industries rse column" 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

Chemistry Industry in Egypt  

Science Journals Connector (OSTI)

Chemistry Industry in Egypt ... FROM antiquity the Egyptian economy has been predominately agricultural. ... Nevertheless, it is most probable that the ancient Egyptians were the world's first practical or industrial chemists. ...

1953-08-10T23:59:59.000Z

282

INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY  

E-Print Network [OSTI]

INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY SUMMER 2013 Industrial Engineering COOP Student needed-Fri, for summer 2013. Student must be enrolled in BS Engineering program. (Preferably completed 2-3 yrs

Pohl, Karsten

283

Industrial Green | Jefferson Lab  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industrial Green Industrial Green - This giant bag may not look green, but it keeps a potent greenhouse gas from being released into the atmosphere. It's part of a system at the...

284

The Industrial Electrification Program  

E-Print Network [OSTI]

EPRI's role as the research organization of the electric power industry, in coordination with potential user industries, is to 1) define the viability of candidate electrification technologies by monitoring the state-of-the-art and continuously...

Harry, I. L.

1982-01-01T23:59:59.000Z

285

Single Column Model Simulations of Cloud Sensitivity to Forcing  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Single-Column Model Simulations Single-Column Model Simulations of Cloud Sensitivity to Forcing A. D. Del Genio National Aeronautics and Space Administration Goddard Institute for Space Studies New York, New York A. B. Wolf National Aeronautics and Space Administration SGT, Inc., Goddard Institute for Space Studies New York, New York Introduction The Atmospheric Radiation Measurement (ARM) Program single-column modeling (SCM) framework has to date used several fairly brief intensive observing periods (IOPs) to evaluate the performance of climate model parameterizations. With only a few weather events in each IOP, it is difficult to separate errors associated with the instantaneous dynamical forcing from errors in parameterization. It is also impossible to determine whether model errors are systematic and climatically significant. This

286

the Fractional Flotation of Flotation Column Particles Opportunity  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Enhancing Selectivity and Recovery in Enhancing Selectivity and Recovery in the Fractional Flotation of Flotation Column Particles Opportunity Although research is currently inactive on the patented technology "Method for Enhancing Selectivity and Recovery in the Fractional Flotation of Flotation Column Particles," the technology is available for licensing from the U.S. Department of Energy's National Energy Technology Laboratory (NETL). Disclosed in this patent is a method of particle separation from a feed stream comprised of particles of varying hydrophobicity by injecting the feed stream directly into the froth zone of a vertical flotation column in the presence of a counter-current reflux stream. The current invention allows the height of the feed stream injection and the reflux ratio to be

287

ARM - Field Campaign - Summer 1994 Single Column Model IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsSummer 1994 Single Column Model IOP govCampaignsSummer 1994 Single Column Model IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Summer 1994 Single Column Model IOP 1994.07.01 - 1994.07.31 Lead Scientist : David Randall Data Availability Data Plots from Colorado State University Data Plots from Livermore National Laboratory Actual data files for a number of past SCM IOPs are available from the ARM Archive. For data sets, see below. Description These seasonal SCM IOPs are conducted at the Southern Great Plains to enhance the frequency of observations for SCM uses, particularly vertical soundings of temperature, water vapor, and winds. The SCM IOPs are conducted for a period of 21 days. During that time, radiosondes are launched at the Central Facility and the four boundary facilities eight

288

ARM - Field Campaign - Winter 1994 Single Column Model IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govCampaignsWinter 1994 Single Column Model IOP govCampaignsWinter 1994 Single Column Model IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Winter 1994 Single Column Model IOP 1994.01.01 - 1994.01.31 Lead Scientist : David Randall Data Availability Data Plots from Colorado State University Data Plots from Livermore National Laboratory Actual data files for a number of past SCM IOPs are available from the ARM Archive. For data sets, see below. Description These seasonal SCM IOPs are conducted at the Southern Great Plains to enhance the frequency of observations for SCM uses, particularly vertical soundings of temperature, water vapor, and winds. The SCM IOPs are conducted for a period of 21 days. During that time, radiosondes are launched at the Central Facility and the four boundary facilities eight

289

ARM - Field Campaign - Fall 1995 Single Column Model IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Single Column Model IOP Single Column Model IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Fall 1995 Single Column Model IOP 1995.09.01 - 1995.10.31 Lead Scientist : David Randall Data Availability Data Plots from Colorado State University Data Plots from Livermore National Laboratory Actual data files for a number of past SCM IOPs are available from the ARM Archive. For data sets, see below. Description These seasonal SCM IOPs are conducted at the Southern Great Plains to enhance the frequency of observations for SCM uses, particularly vertical soundings of temperature, water vapor, and winds. The SCM IOPs are conducted for a period of 21 days. During that time, radiosondes are launched at the Central Facility and the four boundary facilities eight

290

The Monte Carlo Independent Column Approximation Model Intercomparison  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

The Monte Carlo Independent Column Approximation Model Intercomparison The Monte Carlo Independent Column Approximation Model Intercomparison Project (McMIP) Barker, Howard Meteorological Service of Canada Cole, Jason Meteorological Service of Canada Raisanen, Petri Finnish Meteorological Institute Pincus, Robert NOAA-CIRES Climate Diagnostics Center Morcrette, Jean-Jacques European Centre for Medium-Range Weather Forecasts Li, Jiangnan Canadian Center for Climate Modelling Stephens, Graeme Colorado State University Vaillancourt, Paul Environment Canada Oreopoulos, Lazaros JCET/UMBC and NASA/GSFC Siebesma, Pier KNMI Los, Alexander KNMI Clothiaux, Eugene The Pennsylvania State University Randall, David Colorado State University Iacono, Michael Atmospheric & Environmental Research, Inc. Category: Radiation The Monte Carlo Independent Column Approximation (McICA) method for

291

Systems and Industry Analyses  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

systems and industry analyses News Gasifipedia Gasifier Optimization Feed Systems Syngas Processing Systems Analyses Gasification Plant Databases International Activity Program...

292

Geothermal Industry Partnership Opportunities  

Broader source: Energy.gov [DOE]

Here you'll find links to information about partnership opportunities and programs for the geothermal industry.

293

Photovoltaics industry profile  

SciTech Connect (OSTI)

A description of the status of the US photovoltaics industry is given. Principal end-user industries are identified, domestic and foreign market trends are discussed, and industry-organized and US government-organized trade promotion events are listed. Trade associations and trade journals are listed, and a photovoltaic product manufacturers list is included. (WHK)

None

1980-10-01T23:59:59.000Z

294

Mechanical & Industrial Engineering  

E-Print Network [OSTI]

Mechanical & Industrial Engineering Mario A. Rotea Professor and Department Head #12;2Mechanical & Industrial Engineering Outline · Undergraduate Degree Programs · Graduate Degree Programs · The Faculty · The Research · Summary #12;3Mechanical & Industrial Engineering Undergraduate Programs ­ BSME & BSIE 0 20 40 60

Mountziaris, T. J.

295

INDUSTRIAL AND BIOMEDICAL APPLICATIONS  

E-Print Network [OSTI]

INDUSTRIAL AND BIOMEDICAL APPLICATIONS Frank Smith, Nicholas Ovenden and Richard Purvis University are described, one industrial on violent water-air interaction during an impact process and the other biomedical: industrial, biomedical, impacts, networks, theory, computation, scales. 1. INTRODUCTION It is a pleasure

Purvis, Richard

296

A new model for solvent extraction in columns  

SciTech Connect (OSTI)

A new model was developed for analyzing solvent extraction processes carried out in columns. Each column is treated as a series of well-defined equilibrium stages where the backmixing (other-phase carryover) between stages can be large. By including all mass transfer effects in the backmixing value, the same number of stages can be used for all extracted components no matter what their distribution coefficients. This greatly simplifies the calculations required when modeling multicomponent solvent extraction processes. Initial testing shows the new model to be better than either the Height of an Equivalent Theoretical Plate (HETP) or the Height of a Transfer Unit (HTU) method.

Leonard, R.A.; Regalbuto, M.C.; Chamberlain, D.B.; Vandegrift, G.F.

1989-12-08T23:59:59.000Z

297

Industry - ORNL Neutron Sciences  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industry banner Industry banner Neutron scattering research has applications in practically every field, and neutron research at ORNL is leading to productive partnerships with the industrial and business communities. We welcome proposals for all types of research, including those involving proprietary work. Recent studies have led to discoveries with potential applications in fields such as medicine, energy, and various metals technologies. For more information, please see our recent research highlights. Research Collaborations Industry-Driven Research Benefits Plastics Manufacturing Corning uses VULCAN to test limits of ceramic material for car emission controls, filtration devices Neutrons Probe Inner Workings of Batteries Industry and Neutron Science: Working To Make a Match

298

Interacting With the Pharmaceutical Industry  

E-Print Network [OSTI]

INTERACTING WITH THE PHARMACEUTICAL INDUSTRY Stephen R.to interactions with the pharmaceutical industry! This is ancome from the pharmaceutical industry. It is also reality

Hayden, Stephen R

2003-01-01T23:59:59.000Z

299

Benteler Industries | Open Energy Information  

Open Energy Info (EERE)

Industries Jump to: navigation, search Name: Benteler Industries Place: Grand Rapids, MI Website: http:www.bentelerindustries. References: Benteler Industries1 Information...

300

LANSCE | Lujan Center | Industrial Users  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industrial Users The Lujan Neutron Scattering Center offers a diverse set of capabilities and instruments for industrial projects. Industrial users are invited to contact the Lujan...

Note: This page contains sample records for the topic "industries rse column" 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

Fact Sheet for Industrial Facilities  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

for Industrial Facilities May 2012 Overview Public utilities in the Pacific Northwest serve more than 2,200 megawatts of industrial load, making industrial sector users a vitally...

302

Uranium industry annual 1998  

SciTech Connect (OSTI)

The Uranium Industry Annual 1998 (UIA 1998) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. It contains data for the period 1989 through 2008 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data provides a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Data on uranium raw materials activities for 1989 through 1998, including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment, are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2008, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, and uranium inventories, are shown in Chapter 2. The methodology used in the 1998 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. The Form EIA-858 ``Uranium Industry Annual Survey`` is shown in Appendix D. For the readers convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix E along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 24 figs., 56 tabs.

NONE

1999-04-22T23:59:59.000Z

303

Uranium industry annual 1994  

SciTech Connect (OSTI)

The Uranium Industry Annual 1994 (UIA 1994) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing during that survey year. The UIA 1994 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the 10-year period 1985 through 1994 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data collected on the ``Uranium Industry Annual Survey`` (UIAS) provide a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1994, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. A feature article, ``Comparison of Uranium Mill Tailings Reclamation in the United States and Canada,`` is included in the UIA 1994. Data on uranium raw materials activities including exploration activities and expenditures, EIA-estimated resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities, including purchases of uranium and enrichment services, and uranium inventories, enrichment feed deliveries (actual and projected), and unfilled market requirements are shown in Chapter 2.

NONE

1995-07-05T23:59:59.000Z

304

Users from Industry  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Users from Industry Print Users from Industry Print The Advanced Light Source (ALS) welcomes industrial users from large and small companies whose projects advance scientific knowledge, investigate the development of new products and manufacturing methods, or provide economic benefits and jobs to the economy. The nature of industrial research can be different from traditional university and government sponsored projects, so the ALS has created unique opportunities for new and existing industrial users to access our user facilities and engage in productive relationships with our scientific and engineering staff. Examples of past and current research conducted at the ALS can be viewed on the Industry @ ALS Web page. There are several modes of access; the ALS User and Scientific Support Groups are especially committed to helping new industrial users gain a foothold in our user community and welcome inquiries about how to make that happen.

305

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take of industries including consulting, technology development, software, supply chain manufacturing, engineering

Rohs, Remo

306

" 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)"

307

Behavior of the Mass Transfer Zone in a Biosorption Column  

E-Print Network [OSTI]

that Sargassum seaweed has a high efficiency for biosorption removal of toxic heavy metals (11). The biomass in a flow-through fixed-bed column. Copper has been chosen as a typical toxic heavy metal with simple is a process whereby certain types of inactive, dead biomass may bind and concentrate heavy metals from aqueous

Volesky, Bohumil

308

Assessment of solution uncertainties in single-column modeling frameworks  

SciTech Connect (OSTI)

Single-column models (SCMs) have been extensively promoted in recent years as an effective means to develop and test physical parameterizations targeted for more complex three-dimensional climate models. Although there are some clear advantages associated with single-column modeling, there are also some significant disadvantages, including the absence of large-scale feedbacks. Basic limitations of an SCM framework can make it difficult to interpret solutions, and at times contribute to rather striking failures to identify even first-order sensitivities as they would be observed in a global climate simulation. This manuscript will focus on one of the basic experimental approaches currently exploited by the single-column modeling community, with an emphasis on establishing the inherent uncertainties in the numerical solutions. The analysis will employ the standard physics package from the NCAR CCM3 and will illustrate the nature of solution uncertainties that arise from nonlinearities in parameterized physics. The results of this study suggest the need to make use of an ensemble methodology when conducting single-column modeling investigations.

Hack, J.J.; Pedretti, J.A.

2000-01-15T23:59:59.000Z

309

Plastic Hinging Behavior of Reinforced Concrete Bridge Columns  

E-Print Network [OSTI]

of the seismic performance of four-span large-scale bridge systems at the University of Nevada Reno that details deformations in column hinging regions during response to strong shaking events. In order to evaluate the plastic hinging regions, a photogrammetric...

Firat Alemdar, Zeynep

2010-04-27T23:59:59.000Z

310

Novel Column Heater for Fast Capillary Gas Chromatography  

Science Journals Connector (OSTI)

......expected advantage of radial heating with the coaxial heater...with other "coated" heating elements, differences...Louisiana light crude oil; 3 m 0.1 mm phenyl...expansion coefficient, and price imposed substantial practical...existing standard column heating technology. Thus, chromatographic......

E.U. Ehrmann; H.P. Dharmasena; K. Carney; E.B. Overton

1996-12-01T23:59:59.000Z

311

Virus Transport in Saturated and Unsaturated Sand Columns  

Science Journals Connector (OSTI)

...demonstrated in bubble column experiments...pH and ionic strength, and various...application of sewage sludges. Appl. Environ...z-potential of gas bubbles. J. Colloid...the role of the gas-water interface...pH and ionic strength (IS). The...

S. Torkzaban; S. M. Hassanizadeh; J. F. Schijven; H. A. M. de Bruin; A. M. de Roda Husman

312

COMPRESSION OF A PLASMA COLUMN OF INFINITE ELECTROCONDUCTIVITY SITUATED  

E-Print Network [OSTI]

45 COMPRESSION OF A PLASMA COLUMN OF INFINITE ELECTROCONDUCTIVITY SITUATED IN AN EXTERNAL AXIAL velocity, ion temperature, electron temperature and plasma density is analysed. The experimental results [1. Amongst the dissipative processes we are primarily concerned here with the electron heat conductivity

Boyer, Edmond

313

Modeling of Immobilized Cell Columns for Bioconversion and Wastewater Treatment  

E-Print Network [OSTI]

Modeling of Immobilized Cell Columns for Bioconversion and Wastewater Treatment Tingyue Gu* and Mei used in bioconversions to produce biological products as well as in wastewater treatment such as solvent removal from wastewater streams. In this work, a rate model is proposed to simulate this kind

Gu, Tingyue

314

" 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)"

315

" 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)"

316

Industrial | OpenEI  

Open Energy Info (EERE)

Industrial Industrial Dataset Summary Description The Industrial Assessment Centers (IAC) Database is a collection of all the publicly available data from energy efficiency assessments conducted by IACs at small and medium-sized industrial facilities. Source Department of Energy Industrial Assessment Centers Date Released September 20th, 2012 (2 years ago) Date Updated September 20th, 2012 (2 years ago) Keywords assessment energy efficiency Industrial manufacturing small and medium-sized Data application/vnd.ms-excel icon copy_of_iac_database.xls (xls, 28.7 MiB) Quality Metrics Level of Review Standards Comment Temporal and Spatial Coverage Frequency Daily Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset

317

Electrotechnologies in Process Industries  

E-Print Network [OSTI]

Processes Motor drives are mainly used in prime movers (pumps, fans, compressors, etc.) and in materials processing and handling (grinders, conveyors, etc.). EPRI develops and promotes technologies such as industrial heat pumps, freeze concentra tion... the need to disseminate the results of its research and development so that they can be applied broadly across the industrial sector. Specific technology transfer activities in process industries include: o Conferences and workshops o Tech...

Amarnath, K. R.

318

Optimisation of complex distillation column systems using rigorous models.  

E-Print Network [OSTI]

??Includes abstract. Since distillation is still the most widely used separation technique in the petrochemical industry, optimisation of these unit operations are important to minimise (more)

Hughes, Michael John.

2010-01-01T23:59:59.000Z

319

Industrial Energy Efficiency Assessments  

Broader source: Energy.gov (indexed) [DOE]

Energy Efficiency Energy Efficiency Assessments Lynn Price Staff Scientist China Energy Group Energy Analysis Department Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Industrial Energy Efficiency Assessments - Definition and overview of key components - International experience - Chinese situation and recommendations - US-China collaboration Industrial Energy Efficiency Assessments - Analysis of the use of energy and potential for energy efficiency in an industrial facility * Current situation * Recommendations for improving energy efficiency * Cost-benefit analysis of recommended options * An action plan for realizing potential savings Types of Industrial Energy Efficiency Assessments - Preliminary or walk-through - Detailed or diagnostic Audit criteria

320

Industrial Security Specialst  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve in a developmental capacity assisting senior specialists in carrying out a variety of industrial security and oversight functions.

Note: This page contains sample records for the topic "industries rse column" 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

Window industry technology roadmap  

SciTech Connect (OSTI)

Technology roadmap describing technology vision, barriers, and RD and D goals and strategies compiled by window industry stakeholders and government agencies.

Brandegee

2000-04-27T23:59:59.000Z

322

Commercial & Industrial Demand Response  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

323

An industrial policy  

Science Journals Connector (OSTI)

An industrial policy ... There are problems that are very much intertwined with national policy, but there are strengths, too, and they are worth noting. ...

1984-03-05T23:59:59.000Z

324

Industrial and Grid Security  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industrial and Grid Security Establishing resilient infrastructures that operate when sensors and physical assets are perturbed is an important national objective. Two related LDRD...

325

Automated two column generator systems for medical radionuclides  

Science Journals Connector (OSTI)

This work describes automated chromatographic methods for the separation of medically useful radionuclides from source material containing their parent radionuclides. The separation techniques employ two chromatographic columns to ensure high chemical and radiochemical purity of the product radionuclide. The separations were performed using an automated system, the automated radionuclide separator (ARS2), consisting of syringe pumps and multiport valves controlled through a computer interface. Generator systems for 68Ga, 99mTc, 188Re and 213Bi will be described.

Daniel R. McAlister; E. Philip Horwitz

2009-01-01T23:59:59.000Z

326

Determination of plate efficiencies for conventional distillation columns  

E-Print Network [OSTI]

DETERMINATION OF PLATE EFFICIENCIES FOR CONVENTIONAL DISTILLATION COIUMNS A Thesis By Thomas Raymond Harris Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May 1962 Ma)or Sub)ect t Chemical Engineering DETERMINATION OF PLATE EFFICIENCIES FOR CONVENTIONAL DISTILLATION COLUMNS A Thesis Thomas Raymond Harris Approred as to style and content bye Chairman of ommittee Head...

Harris, Thomas Raymond

2012-06-07T23:59:59.000Z

327

Nano and viscoelastic Beck's column on elastic foundation  

E-Print Network [OSTI]

Beck's type column on Winkler type foundation is the subject of the present analysis. Instead of the Bernoulli-Euler model describing the rod, two generalized models will be adopted: Eringen non-local model corresponding to nano-rods and viscoelastic model of fractional Kelvin-Voigt type. The analysis shows that for nano-rod, the Herrmann-Smith paradox holds while for viscoelastic rod it does not.

Atanackovic, Teodor M; Zorica, Dusan

2014-01-01T23:59:59.000Z

328

The Gas Industry  

Science Journals Connector (OSTI)

... the total output of towns' gas in Great Britain, distributes annually approximately as much energy as the whole of the electrical undertakings in the country. The industry has reason ... any actual thermal process, and the operations of the gas industry are not outside the ambit of the second law of thermodynamics, high though the efficiency of the carbonising process ...

J. S. G. THOMAS

1924-04-26T23:59:59.000Z

329

Growing Hawaii's agriculture industry,  

E-Print Network [OSTI]

Program Overview Growing Hawaii's agriculture industry, one business at a time Website: http-3547 agincubator@ctahr.hawaii.edu Grow Your Business If you are looking to start an agriculture-related business with our program · Positively impact the agriculture industry in Hawaii with their success

330

Conference on Industrial Physics  

Science Journals Connector (OSTI)

... THE first Conference on Industrial Physics to be held in Great Britain took place in Manchester under the ... auspices of the Institute of Physics on March 28-30. The subject chosen for the Conference was Vacuum Devices in Research and Industry, and its chief object was to ...

HERBERT R. LANG

1935-04-06T23:59:59.000Z

331

Industrial Optimization Compact Course  

E-Print Network [OSTI]

Industrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role of the processes are typically nonlinear and dyna- mic. Thus, complex dynamic optimization or optimal control in industrial optimization. February 17­20, 2014 ·9.00­17.00 IWR ·Im Neuenheimer Feld 368 ·69120 Heidelberg www

Kirches, Christian

332

Industrial electrotechnology development  

Science Journals Connector (OSTI)

New and improved industrial technologies have a tremendous role in enhancing productivity, minimising waste, reducing overall energy consumption, and mitigating environmental impacts. The electric utility industry plays a major role in developing these new and improved technologies. This paper describes several major advances and their potential impacts.

Clark W. Gellings

1997-01-01T23:59:59.000Z

333

Japan's Rayon Industry  

Science Journals Connector (OSTI)

THE RAYON INDUSTRY of Japan has constantly expanded for the past eight years at a pace which has surpassed the development of all the other manufacturing industries of the Empire. At the end of 1926, the combined total output of rayon companies in this ...

KEHTI SISIDO

1934-08-10T23:59:59.000Z

334

Buckling propagation failure in semi-submersible platform columns  

Science Journals Connector (OSTI)

abstract The present paper aims at studying the behavior of stiffened panels from a column segment of a new generation of semi-submersible platforms up to the peak compressive load and in the post-buckling condition. Previous studies have demonstrated a strong influence of the mode and magnitude of initial geometric imperfections, as well as boundary conditions, on the structure's axial load capacity. Numericalexperimental correlation study for small-scale models was performed to define the proper numerical model to be used in more complex numerical simulations of the failure behavior of full-scale column structures. The stiffened panels were assessed to identify the buckling onset in a specific plate and its interaction with longitudinal and transversal stiffeners during the progressive column failure. Measurements of the geometric imperfection distribution of full-scale stiffened panels were collected during construction to better understand the buckling mechanism. Initial geometric imperfections were measured by means of laser-based equipment including a portable measuring system that uses laser technology with sub-millimeter accuracy.

Tiago P. Estefen; Segen F. Estefen

2012-01-01T23:59:59.000Z

335

Industry - ORNL Neutron Sciences  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industry and Neutron Science Industry and Neutron Science Industry and Neutron Science: Working To Make a Match "In fundamental research, we want to know everything. Industry wants to know enough to answer a question." Research Contact: Mike Crawford September 2011, Written by Deborah Counce Mike Crawford and Souleymane Diallo Mike Crawford of Dupont (right) and Souleymane Diallo, instrument scientist for the Backscattering Spectrometer at SNS, prepare a material sample for an experiment on the instrument. Industrial users are starting to eye the potential of neutron science for solving problems that can't be solved in any other way. At the same time, the SNS and HFIR neutron science facilities at ORNL are exploring ways to woo such users and to make a match of it, to the benefit of both.

336

Uranium industry annual 1996  

SciTech Connect (OSTI)

The Uranium Industry Annual 1996 (UIA 1996) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1996 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. Data on uranium raw materials activities for 1987 through 1996 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2006, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. A feature article, The Role of Thorium in Nuclear Energy, is included. 24 figs., 56 tabs.

NONE

1997-04-01T23:59:59.000Z

337

Experimental and Analytical Studies on Old Reinforced Concrete Buildings with Seismically Vulnerable Beam-Column Joints  

E-Print Network [OSTI]

column axial load was controlled to follow the pre-definedThe column axial loads were controlled to follow Equation (The lateral load pattern is selected as follows, F i = ? i W

PARK, SANGJOON

2010-01-01T23:59:59.000Z

338

Automated metal-free multiple-column nanoLC for improved phosphopeptid...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

metal-free multiple-column nanoLC for improved phosphopeptide analysis sensitivity and throughput. Automated metal-free multiple-column nanoLC for improved phosphopeptide analysis...

339

Application of a Plantwide Control Design Procedure to a Distillation Column with Heat Pump  

E-Print Network [OSTI]

(Larsson & Skogestad 2001) to a distillation column heat-integrated by using a heatpump. Top-down analysis) and apply it to a distillation column with heatpump. Plantwide control design should start by formulating

Skogestad, Sigurd

340

Uranium industry annual 1995  

SciTech Connect (OSTI)

The Uranium Industry Annual 1995 (UIA 1995) provides current statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1995 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the period 1986 through 2005 as collected on the Form EIA-858, ``Uranium Industry Annual Survey``. Data collected on the ``Uranium Industry Annual Survey`` provide a comprehensive statistical characterization of the industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1995, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. Data on uranium raw materials activities for 1986 through 1995 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2005, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. The methodology used in the 1995 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. For the reader`s convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix D along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 14 figs., 56 tabs.

NONE

1996-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "industries rse column" 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

Posted 3/2/13 Medline Industries Industrial Engineer  

E-Print Network [OSTI]

Posted 3/2/13 Medline Industries ­ Industrial Engineer Medline Industries, Inc. has an immediate opening for an Industrial Engineer for our SPT Division located in Waukegan, IL. We are seeking a hard-working, detail-oriented professional with experience in industrial engineering and lean manufacturing within

Heller, Barbara

342

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

Rohs, Remo

343

INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in todays global marketplace. The Industrial and Systems engineers task is to take limited Industrial and Systems Engineering Bachelor of Science 128 units Industrial and Systems Engineering

Rohs, Remo

344

INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

Rohs, Remo

345

Comparison of Alternative Control Structures for an Ideal Two-Product Reactive Distillation Column  

E-Print Network [OSTI]

Comparison of Alternative Control Structures for an Ideal Two-Product Reactive Distillation Column distillation columns have been explored in many papers, very few papers have dealt with closed-loop control. Most of these control papers consider reactive distillation columns in which there is only one product

Al-Arfaj, Muhammad A.

346

A globally convergent method for finding all steady-state solutions of distillation columns  

E-Print Network [OSTI]

A globally convergent method for finding all steady-state solutions of distillation columns Ali distillation column with 7 steady-states show the robustness of the method. No published software known to the steady-state model of distillation columns as it returns the original system as a single large block

Neumaier, Arnold

347

Charge Collection Measurements in single-type column 3D Sensors  

E-Print Network [OSTI]

Charge Collection Measurements in single-type column 3D Sensors M. Scaringella*, A. Polyakov, and H sensors. In particular, 3D detectors with columns of both n-and p-doping are considered to be especially-substrate [5]. The principle of the single-type column 3D sensors is shown in Fig. 1. Their advantages over

California at Santa Cruz, University of

348

Laboratory Glass Columns "Next Generation" technology for high-performance preparative chromatography  

E-Print Network [OSTI]

SNAP ® Laboratory Glass Columns "Next Generation" technology for high-performance preparative lesiones graves o la muerte! WARNING Glass SNAP® columns are intended for use in a liquid environment disassembly or cleaning for scratches, chips or defects, particularly on the glass surfaces. DO NOT use column

Lebendiker, Mario

349

Comparative Study of Plasma Anodization of Silicon in a Column of a dc Glow Discharge  

Science Journals Connector (OSTI)

A comparative study of plasma anodization of silicon in the column of a dc oxygen glow discharge is presented. Quantitative results for growth rates of silicon dioxide in the negative glow Faraday dark space positive column and the anode fall are given. It is observed that the growth rate is higher in the positive column than the other regions of the discharge.

M. A. Copeland; R. Pappu

1971-01-01T23:59:59.000Z

350

NSLS Industrial User Program  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Jun Wang Physicist, Industrial Program Coordinator Phone: 344-2661 Email: junwang@bnl.gov Jun Wang is an Industrial Program Coordinator in the Photon Science Directorate at Brookhaven National Laboratory. She is working closely with industrial researchers as well as beamline staff to identify and explore new opportunities in industrial applications using synchrotron radiation. She has been leading the industrial research program including consultation, collaboration and outreach to the industrial user groups. Before joining BNL in 2008, Jun Wang was a Lead Scientist for a high-resolution high throughput powder diffraction program at the Advanced Photon Source (APS). As a Physicist at BNL, her research focuses on materials structure determination and evolution. Her expertise covers wide range x-ray techniques such as thin film x-ray diffraction and reflectivity, powder diffraction, small angle x-ray scattering, protein solution scattering and protein crystallography, as well as x-ray imaging. Currently she is the project leader of a multi-million dollar project on transmission x-ray microscopy recently funded by the U.S. DOE and the spokesperson for this new imaging beamline at the NSLS. She has also been collaborating with universities and industries for several projects on energy research at the NSLS.

351

Industrial process surveillance system  

DOE Patents [OSTI]

A system and method are disclosed for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy. 96 figs.

Gross, K.C.; Wegerich, S.W.; Singer, R.M.; Mott, J.E.

1998-06-09T23:59:59.000Z

352

Spatial distribution of isoprene emissions from North America derived from formaldehyde column measurements by the OMI satellite sensor  

E-Print Network [OSTI]

Spatial distribution of isoprene emissions from North America derived from formaldehyde column isoprene emission from North America. OMI HCHO columns for June-August 2006 are consistent distribution of OMI HCHO columns follows that of isoprene emission; anthropogenic hydrocarbon emissions

Chance, Kelly

353

Carbon Emissions: Food Industry  

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

Food Industry Food Industry Carbon Emissions in the Food Industry The Industry at a Glance, 1994 (SIC Code: 20) Total Energy-Related Emissions: 24.4 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 6.6% Total First Use of Energy: 1,193 trillion Btu -- Pct. of All Manufacturers: 5.5% Carbon Intensity: 20.44 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 24.4 Net Electricity 9.8 Natural Gas 9.1 Coal 4.2 All Other Sources 1.3 Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998

354

Carbon Emissions: Chemicals Industry  

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

Chemicals Industry Chemicals Industry Carbon Emissions in the Chemicals Industry The Industry at a Glance, 1994 (SIC Code: 28) Total Energy-Related Emissions: 78.3 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 21.1% -- Nonfuel Emissions: 12.0 MMTC Total First Use of Energy: 5,328 trillion Btu -- Pct. of All Manufacturers: 24.6% Energy Sources Used As Feedstocks: 2,297 trillion Btu -- LPG: 1,365 trillion Btu -- Natural Gas: 674 trillion Btu Carbon Intensity: 14.70 MMTC per quadrillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 78.3 Natural Gas 32.1

355

Argonne CNM: Industrial Users  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

For Industrial Users For Industrial Users The Center for Nanoscale Materials (CNM) has specific interest in growing the industrial user program and encourages researchers in industry to consider the capabilities and expertise we have to offer. As a CNM user, you have easy access to sophisticated scientific instrumentation geared toward nanoscience and nanotechnology. Moreover, our widely recognized staff researchers offer support in designing your experiments, using the equipment, and analyzing your data. Access to the CNM is through peer review of user proposals. Before you submit your first user proposal, we encourage you to contact any of our staff researchers, group leaders, the User Office, or division management to discuss the feasibility of your intended research using the expertise and facilities at the CNM. We are here to serve you as part of our user community and will be happy to address any questions you might have.

356

Electric Utility Industry Update  

Broader source: Energy.gov (indexed) [DOE]

Electric Utility Industry Update Electric Utility Industry Update Steve Kiesner Director, National Customer Markets Edison Electric Institute FUPWG Spring 2012 April 12, 2012 Edison Electric Institute  Investor-Owned Electric Companies  Membership includes  200 US companies,  More than 65 international affiliates and  170 associates  US members  Serve more than 95% of the ultimate customers in the investor-owned segment of the industry and  Nearly 70% of all electric utility ultimate customers, and  Our mission focuses on advocating public policy; expanding market opportunities; and providing strategic business information Agenda Significant Industry Trends Utility Infrastructure Investments Generation and Fuel Landscape

357

Carbon Emissions: Paper Industry  

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

Paper Industry Paper Industry Carbon Emissions in the Paper Industry The Industry at a Glance, 1994 (SIC Code: 26) Total Energy-Related Emissions: 31.6 million metric tons of carbon (MMTC) -- Pct. of All Manufacturers: 8.5% Total First Use of Energy: 2,665 trillion Btu -- Pct. of All Manufacturers: 12.3% -- Pct. Renewable Energy: 47.7% Carbon Intensity: 11.88 MMTC per quadrillion Btu Renewable Energy Sources (no net emissions): -- Pulping liquor: 882 trillion Btu -- Wood chips and bark: 389 trillion Btu Energy Information Administration, "1994 Manufacturing Energy Consumption Survey" and Emissions of Greenhouse Gases in the United States 1998 Energy-Related Carbon Emissions, 1994 Source of Carbon Carbon Emissions (million metric tons) All Energy Sources 31.6 Net Electricity 11.0

358

Industry | OpenEI  

Open Energy Info (EERE)

Industry Industry Dataset Summary Description The Energy Statistics Database contains comprehensive energy statistics on the production, trade, conversion and final consumption of primary and secondary; conventional and non-conventional; and new and renewable sources of energy. The Energy Statistics dataset, covering the period from 1990 on, is available at UNdata. This dataset relates to the consumption of alcohol by other industries and construction. Data is only available for Paraguay and the U.S., years 2000 to 2007. Source United Nations (UN) Date Released December 09th, 2009 (5 years ago) Date Updated Unknown Keywords Agriculture Alcohol consumption Industry UN Data application/zip icon XML (zip, 514 bytes) application/zip icon XLS (zip, 425 bytes) Quality Metrics

359

Industry - ORNL Neutron Sciences  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Former User Group Chair Enthusiastic About Relevance of Neutron Scattering Former User Group Chair Enthusiastic About Relevance of Neutron Scattering to Industrial Research Former User Group Chair Mike Crawford Mike Crawford, DuPont Research and Development. The drive is intensifying to encourage research partnerships between Neutron Sciences and private industry. Such partnerships, a long-term strategic goal set by the DOE's Basic Energy Sciences Advisory Committee, will deliver industry and its technological problems to SNS and HFIR, where joint laboratory-industry teams can use the unparalleled resources available here to resolve them. "SNS is a tremendous facility. It has the potential to have a couple of thousand user visits a year and, if they build another target station in the future, you're probably talking about 4000 user visits a year,"

360

Safety in Offshore Industry  

Science Journals Connector (OSTI)

A large number of accidents in offshore industry have occurred over the years. Ten of the deadliest of these accidents occurred at or on the Piper Alpha ... , the Alexander L. Kielland (a Norwegian semi-submersible

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industries rse column" 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

Energy Industry Analyst  

Broader source: Energy.gov [DOE]

A successful candidate in this position will function as an Energy Industry Analyst within FE's Office of Oil and Gas, with responsibility for supporting senior staff members in performing policy...

362

Mining Industry Profile  

Broader source: Energy.gov [DOE]

The U.S. mining industry consists of the search for, extraction, beneficiation, and processing of naturally occurring solid minerals from the earth. These mined minerals include coal, metals such...

363

Load Management for Industry  

E-Print Network [OSTI]

In the electric utility industry, load management provides the opportunity to control customer loads to beneficially alter a utility's load curve Load management alternatives are covered. Load management methods can be broadly classified into four...

Konsevick, W. J., Jr.

1982-01-01T23:59:59.000Z

364

Uranium Industry Annual, 1992  

SciTech Connect (OSTI)

The Uranium Industry Annual provides current statistical data on the US uranium industry for the Congress, Federal and State agencies, the uranium and electric utility industries, and the public. The feature article, ``Decommissioning of US Conventional Uranium Production Centers,`` is included. Data on uranium raw materials activities including exploration activities and expenditures, resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities including domestic uranium purchases, commitments by utilities, procurement arrangements, uranium imports under purchase contracts and exports, deliveries to enrichment suppliers, inventories, secondary market activities, utility market requirements, and uranium for sale by domestic suppliers are presented in Chapter 2.

Not Available

1993-10-28T23:59:59.000Z

365

Industrial power by research?  

Science Journals Connector (OSTI)

... The largest nation on the Earth is at last on the road to becoming an industrial power matching in prosperity and creativity the most successful nations elsewhere in the world. ... ask whether China has always been so certain of itself.

1985-11-21T23:59:59.000Z

366

Steel Industry Profile  

Broader source: Energy.gov [DOE]

The steel industry is critical to the U.S. economy. Steel is the material of choice for many elements of manufacturing, construction, transportation, and various consumer products. Traditionally...

367

Utility and Industrial Partnerships  

E-Print Network [OSTI]

In the past decade, many external forces have shocked both utilities and their large industrial customers into seeking more effective ways of coping and surviving. One such way is to develop mutually beneficial partnerships optimizing the use...

Sashihara, T. F.

368

Presentations for Industry  

Broader source: Energy.gov [DOE]

Industrial energy managers, utilities, and energy management professionals can find online trainings and information dissemination at no-cost. AMO has provided these energy-saving strategies from leading manufacturing companies and energy experts through several different presentation series.

369

Industrial Decision Making  

E-Print Network [OSTI]

Domestic industrial investment has declined due to unfavorable energy prices, and external markets. Investment behavior has changed over the past few years, and will continue due to high labor costs, tight markets and an unstable U.S. economy...

Elliott, R. N.; McKinney, V.; Shipley, A.

2008-01-01T23:59:59.000Z

370

Macro Industrial Working Group  

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

your attention 22 Industrial Team Washington DC, September 29, 2014 Macro Team: Kay Smith (lead) (202) 586-1132 | kay.smith@eia.gov Vipin Arora (202) 586-1048 |...

371

Industrial Assessment Center  

SciTech Connect (OSTI)

The University of Dayton (UD) performed energy assessments, trained students and supported USDOE objectives. In particular, the UD Industrial Assessment Center (IAC) performed 96 industrial energy assessment days for mid-sized manufacturers. The average identified and implemented savings on each assessment were $261,080 per year and $54,790 per year. The assessments served as direct training in industrial energy efficiency for 16 UD IAC students. The assessments also served as a mechanism for the UD IAC to understand manufacturing energy use and improve upon the science of manufacturing energy efficiency. Specific research results were published in 16 conference proceedings and journals, disseminated in 22 additional invited lectures, and shared with the industrial energy community through the UD IAC website.

J. Kelly Kissock; Becky Blust

2007-04-17T23:59:59.000Z

372

Industrial energy use indices  

E-Print Network [OSTI]

and colder are determined by annual average temperature weather data). Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used in the south of the U.S. iv... This analysis uses electricity and natural gas energy consumption and area data of manufacturing plants available in the U.S. Department of Energys national Industrial Assessment Center (IAC) database. The data there come from Industrial Assessment Centers...

Hanegan, Andrew Aaron

2008-10-10T23:59:59.000Z

373

Tuesday Webcasts for Industry  

Broader source: Energy.gov [DOE]

Learn about AMO's software tools, technologies, partnership opportunities, and other resources by watching the Tuesday Webcasts for Industry. They are held on the first Tuesday of every month from 2:00 to 3:00 p.m. Eastern time and are presented by manufacturers, AMO staff, and industry experts. Register to participate in upcoming Tuesday webcasts by visiting the AMO Events Calendar or Training Calendar. Each entry includes the webcast's date, topic, and registration link, and a detailed description.

374

Japan Confronts Industry Decline  

Science Journals Connector (OSTI)

Japan Confronts Industry Decline ... The moves are taking place at a time when demand in Japan is weak and companies face competition from lower-cost players in the Middle East and the U.S. ... Only a few months ago, Japans largest chemical company, Mitsubishi Chemical, cited deteriorating business conditions when it announced it would close one of its ethylene crackers in Kashima, Ibaraki prefecture, an industrial city a few hours drive northeast of Tokyo. ...

JEAN-FRANOIS TREMBLAY

2013-02-11T23:59:59.000Z

375

Clean Energy Manufacturing Initiative Industrial Efficiency and...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industrial Efficiency and Energy Productivity Video Clean Energy Manufacturing Initiative Industrial Efficiency and Energy Productivity Video Addthis Description Industrial...

376

Industrial Energy Efficiency Assessments | Department of Energy  

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

Industrial Energy Efficiency Assessments Industrial Energy Efficiency Assessments Details about the Industrial Energy Efficiency Assessments program and its implementation in...

377

The Two-Column Aerosol Project (TCAP) Science Plan  

SciTech Connect (OSTI)

The Two-Column Aerosol Project (TCAP) field campaign will provide a detailed set of observations with which to (1) perform radiative and cloud condensation nuclei (CCN) closure studies, (2) evaluate a new retrieval algorithm for aerosol optical depth (AOD) in the presence of clouds using passive remote sensing, (3) extend a previously developed technique to investigate aerosol indirect effects, and (4) evaluate the performance of a detailed regional-scale model and a more parameterized global-scale model in simulating particle activation and AOD associated with the aging of anthropogenic aerosols. To meet these science objectives, the Atmospheric Radiation Measurement (ARM) Climate Research Facility will deploy the ARM Mobile Facility (AMF) and the Mobile Aerosol Observing System (MAOS) on Cape Cod, Massachusetts, for a 12-month period starting in the summer of 2012 in order to quantify aerosol properties, radiation, and cloud characteristics at a location subject to both clear and cloudy conditions, and clean and polluted conditions. These observations will be supplemented by two aircraft intensive observation periods (IOPs), one in the summer and a second in the winter. Each IOP will deploy one, and possibly two, aircraft depending on available resources. The first aircraft will be equipped with a suite of in situ instrumentation to provide measurements of aerosol optical properties, particle composition and direct-beam irradiance. The second aircraft will fly directly over the first and use a multi-wavelength high spectral resolution lidar (HSRL) and scanning polarimeter to provide continuous optical and cloud properties in the column below.

Berkowitz, CM; Berg, LK; Cziczo, DJ; Flynn, CJ; Kassianov, EI; Fast, JD; Rasch, PJ; Shilling, JE; Zaveri, RA; Zelenyuk, A; Ferrare, RA; Hostetler, CA; Cairns, B; Russell, PB; Ervens, B

2011-07-27T23:59:59.000Z

378

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

379

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

380

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

Note: This page contains sample records for the topic "industries rse column" 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

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

382

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

383

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

384

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

385

1 Industrial Electron Accelerators type ILU for Industrial Technologies  

E-Print Network [OSTI]

1 Industrial Electron Accelerators type ILU for Industrial Technologies The present work describes industrial electron accelerators of the ILU family. Their main parameters, design, principle of action the pulse linear accelerators type ILU are developed and supplied to the industry. The ILU machines

386

industrial & systems Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 industrial & systems Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take s e n G i n e e r i n G ( i s e ) ISE 105 Introduction to Industrial and Systems Engineering (2, Fa

Rohs, Remo

387

industrial & systems Industrial and Systems engineers use engineering  

E-Print Network [OSTI]

78 industrial & systems Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take to introduce the philosophy, subject matter, aims, goals, and techniques of industrial and systems engineering

Rohs, Remo

388

Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst  

E-Print Network [OSTI]

9/13/2007 Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst Department of Mechanical and Industrial Engineering About the Mechanical and Industrial Engineering Industry Advisory Board The purpose of the Mechanical and Industrial Engineering Industry Advisory

Mountziaris, T. J.

389

ET Industries, Inc.  

Broader source: Energy.gov (indexed) [DOE]

ET Industries, Inc. ET Industries, Inc. (showerheads) Issued: May 24, 2013 BEFORE THE U.S. DEPARTMENT OF ENERGY Washington, D.C. 20585 ) ) ) ) ) Case Number: 2012-SE-2902 AMENDED NOTICE OF NONCOMPLIANCE DETERMINATION 1 Manufacturers (including importers) are prohibited from distributing covered products in the United States that do not comply with applicable federal water conservation standards. See 10 C.F.R. §§ 429.5, 429.102; 42 U.S.C. §§ 6291(10), 6302. On April 3, 2012, DOE tested one unit of the "ThunderHead" showerhead basic model ("basic model TH-1 " 2 ), which ET Industries, Inc. ("ET") imported into the United States. On April 24, 2012, DOE completed testing of three additional units of basic model TH-1, also imported into

390

Petrochemical industry drivers  

SciTech Connect (OSTI)

Extensive analyses of profit-ability and pricing over the years have shown that the trends seen in the petrochemical industry have two dominant drivers, namely, industry experience curves (reflecting continuous process improvement and cost savings) and profitability cycles. Any outlook for the future must examine both of these facets. The author`s algorithm for price projections has two primary terms: a cost-related one and a supply/demand-related one. Both are strong functions of experience curves; the latter is also a prime function of cyclicality. At SRI International. To arrive at medium-term quantitative projections, SRI typically creates a consistent base-case scenario that more or less mirrors the past but also incorporates observed directional changes. In this article the author examines in detail how these scenarios are used for projection. He describes experience curves, ethylene/gross domestic product (GDP) penetration levels, industry structure, and cyclicality as they apply to ethylene prices.

Sedriks, W.

1995-11-01T23:59:59.000Z

391

Emulsified industrial oils recycling  

SciTech Connect (OSTI)

The industrial lubricant market has been analyzed with emphasis on current and/or developing recycling and re-refining technologies. This task has been performed for the United States and other industrialized countries, specifically France, West Germany, Italy and Japan. Attention has been focused at emulsion-type fluids regardless of the industrial application involved. It was found that emulsion-type fluids in the United States represent a much higher percentage of the total fluids used than in other industrialized countries. While recycling is an active matter explored by the industry, re-refining is rather a result of other issues than the mere fact that oil can be regenerated from a used industrial emulsion. To extend the longevity of an emulsion is a logical step to keep expenses down by using the emulsion as long as possible. There is, however, another important factor influencing this issue: regulations governing the disposal of such fluids. The ecological question, the respect for nature and the natural balances, is often seen now as everybody's task. Regulations forbid dumping used emulsions in the environment without prior treatment of the water phase and separation of the oil phase. This is a costly procedure, so recycling is attractive since it postpones the problem. It is questionable whether re-refining of these emulsions - as a business - could stand on its own if these emulsions did not have to be taken apart for disposal purposes. Once the emulsion is separated into a water and an oil phase, however, re-refining of the oil does become economical.

Gabris, T.

1982-04-01T23:59:59.000Z

392

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

393

" 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"

394

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

395

China's Industrial Energy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

China's Industrial Energy China's Industrial Energy Consumption Trends and Impacts of the Top-1000 Enterprises Energy- Saving Program and the Ten Key Energy-Saving Projects Jing Ke, Lynn Price, Stephanie Ohshita, David Fridley, Nina Khanna, Nan Zhou, Mark Levine China Energy Group Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Reprint version of journal article published in "Energy Policy", Volume 50, Pages 562-569, November 2012 October 2012 This work was supported by the China Sustainable Energy Program of the Energy Foundation through the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY

396

Natural Gas Industrial Price  

Gasoline and Diesel Fuel Update (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

397

BTU Accounting for Industry  

E-Print Network [OSTI]

convert utility bills to BTUs? All fuels can be measured in terms of BTU content. Natural gas has a million BTUs per thousand cubic feet; propane - 92,000 BTUs per gallon; fuel oil - 140,000 BTUs per gallon; electricity - 3,413 BTUs per KW hour... BTU ACCOUNTING FOR INDUSTRY Robert O. Redd-CPA Seidman & Seidman Grand Rapids, Michigan Today, as never before, American industry needs to identify and control their most criti cal resources. One of these is energy. In 1973 and again in 1976...

Redd, R. O.

1979-01-01T23:59:59.000Z

398

Chapter 11 - Industrial Automation  

Science Journals Connector (OSTI)

The industrial systems of the future are complex systems composed of vast numbers of devices interacting with each other and with enterprise systems. Modern technologies such as web services, service-oriented architectures (SOAs), the cloud, etc. make it possible for sophisticated infrastructures to emerge in future factories. We take a closer look at key visionary aspects that are expected to be introduced in the industrial automation domain in the years to come, and the pivotal role of M2M and IoT. Additionally, we investigate the impact on the collaboration of machines among themselves and with enterprise systems and their services.

Jan Hller; Vlasios Tsiatsis; Catherine Mulligan; Stamatis Karnouskos; Stefan Avesand; David Boyle

2014-01-01T23:59:59.000Z

399

Industrial Partnerships | ornl.gov  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Carbon Fiber Consortium Manufacturing Industrial Partnerships Staff University Partnerships Events and Conferences Success Stories Video Newsletters Staff Contacts Partnerships Home | Connect with ORNL | For Industry | Partnerships | Industrial Partnerships SHARE Industrial Partnerships ORNL takes great pride in its work with U.S. industry. Each year, the Industrial Partnerships team hosts more than 100 visits to ORNL by both large corporations and small companies to help our potential partners understand the capabilities and expertise that exist at the laboratory and the various mechanisms available to help facilitate collaboration. Mechanism for Partnering How do I get started exploring industrial partnerships at ORNL? As the nation's largest science and energy laboratory, it can sometimes be

400

Kinetic azeotropy and design of reactive distillation columns  

SciTech Connect (OSTI)

The reactive fixed points in the distillation maps of a reactive distillation column (RDC) with kinetically controlled reactions are identified and their role in deciding the design feasibility has been elucidated. The fixed points at which both reaction and distillation vectors have zero magnitudes correspond to the equilibrium fixed point. It is known that the relative positions of these points for the rectifying and stripping sections determine the value of the minimum reflux ratio. However, apart from these fixed points, there are certain fixed points in the distillation map at which, though the reaction and distillation vectors have nonzero magnitudes, they nullify the effects of each other. These points correspond to the kinetic fixed points and have a special significance. Their positions have direct influence on the feasible product composition. A simple example of an ideal ternary system undergoing a reaction 2B {longleftrightarrow} A + c has been illustrated to show the importance of kinetic azeotropy in the design aspects of RDC.

Mahajani, S.M. [Monash Univ., Clayton, Victoria (Australia). Dept. of Chemical Engineering] [Monash Univ., Clayton, Victoria (Australia). Dept. of Chemical Engineering

1999-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "industries rse column" 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

Transient simulation for large scale flow in bubble columns  

Science Journals Connector (OSTI)

Abstract The transient simulation of large scale bubbly flow in bubble columns using the unsteady Reynolds averaged Navier Stokes (URANS) equations is investigated in the present paper. An extensive set of bubble forces is used with different models for the bubble induced turbulence. Criteria are given to assess the independence of the simulation time and the time step length. Using these criteria it is shown that a simulation time, time step length and mesh independent solution can be obtained for complex bubbly flows using URANS equations under certain requirements. With the obtained setup the contribution of the resolved turbulence to the total turbulence and the influence of the bubble induced turbulence modeling on the resolved turbulence is investigated. Further, it is pointed out that the virtual mass force is not negligible. The simulations are compared to data from the literature at two different superficial velocities, which cover monodisperse and polydisperse bubbly flows.

T. Ziegenhein; R. Rzehak; D. Lucas

2015-01-01T23:59:59.000Z

402

Heat transfer to a horizontal cylinder in a shallow bubble column  

Science Journals Connector (OSTI)

Abstract Heat transfer coefficient correlations for tall bubble columns are unable to predict heat transfer in shallow bubble columns, which have unique geometry and fluid dynamics. In this work, the heat transfer coefficient is measured on the surface of a horizontal cylinder immersed in a shallow airwater bubble column. Superficial velocity, liquid depth, and cylinder height and horizontal position with respect to the sparger orifices are varied. The heat transfer coefficient is found to increase with height until reaching a critical height, and a dimensionless, semi-theoretical correlation is developed that incorporates superficial velocity, liquid properties, and height. Additionally, the more minor effects of flow regime, column region, and bubble impact are discussed. Notably, the heat transfer coefficient can be as high in the region of bubble coalescence as in the bulk of the column, but only if bubbles impact the cylinder. The correlation and discussion provide a framework for modeling and designing shallow, coil-cooled bubble columns.

Emily W. Tow; John H. Lienhard V

2014-01-01T23:59:59.000Z

403

Analysis and Taxonomy of Column Header Categories for Web Tables  

E-Print Network [OSTI]

government departments: Agriculture, Energy, and Health. The CIA World Factbook and several international, employment, industrial production, commerce, and transportation. Canada Statistics (www.statcan.gc.ca), for example, has over 38 million series/vectors in over 2800 tables. Swiss Statistics currently has 50

Nagy, George

404

" 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"

405

" 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"

406

" Level: National Data and Regional Totals;"  

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

4 Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" 4 Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Thousand Barrels." ,,"Residual Fuel Oil",,,"Alternative Energy Sources(b)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(c)","Switchable","Switchable","Receipts(d)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(e)","Factors"

407

" Level: National Data and Regional Totals;"  

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

2 Capability to Switch LPG to Alternative Energy Sources, 2002; " 2 Capability to Switch LPG to Alternative Energy Sources, 2002; " " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Thousand Barrels." ,,"LPG",,,"Alternative Energy Sources(b)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(c)","Switchable","Switchable","Receipts(d)","Gas","Fuel Oil","Fuel Oil","Coal","Breeze","Other(e)","Factors"

408

" Level: National Data and Regional Totals;"  

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

8 Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002; " 8 Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002; " " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Thousand Barrels." ,,"Distillate Fuel Oil",,,"Alternative Energy Sources(b)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Residual",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(c)","Switchable","Switchable","Receipts(d)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(e)","Factors"

409

" 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"

410

" Level: National Data and Regional Totals;"  

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

2 Capability to Switch Natural Gas to Alternative Energy Sources, 2002;" 2 Capability to Switch Natural Gas to Alternative Energy Sources, 2002;" " Level: National Data and Regional Totals;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Billion Cubic Feet." ,,"Natural Gas",,,"Alternative Energy Sources(b)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Distillate","Residual",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(c)","Switchable","Switchable","Receipts(d)","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(e)","Factors"

411

Wool Industries Research Association  

Science Journals Connector (OSTI)

... THE report of Dr. A. B. P. Cassie, director of research of the Wool Industries Research Association, presented to the annual general meeting of the Association on April ... No. 212.) Headingley, Leeds: 1959). Modifications have been made to the pilot scouring plant, while methods for determining oil and grease in ...

1959-06-27T23:59:59.000Z

412

CONGRESS BLASTS OIL INDUSTRY  

Science Journals Connector (OSTI)

IN PACKED HEARINGS last week before angry members of Congress, the heads of BP, ExxonMobil, Chevron, ConocoPhillips, and Shell Oil defended their industry in light of the April 20 BP oil rig explosion in the Gulf of Mexico, which has led to the worst ...

JEFF JOHNSON

2010-06-21T23:59:59.000Z

413

Industry Partners Panel  

Broader source: Energy.gov [DOE]

Industry Panel presenters include: Michael G. Andrew, Director - Academic and Technical Programs, Advanced Products and Materials, Johnson Controls Power Solutions Michael A. Fetcenko, Vice President and Managing Director, BASF Battery Materials Ovonic, BASF Corporation Adam Kahn, Founder and CEO, AKHAN Technologies, Inc. Stephen E. Zimmer, Executive Director, United States Council for Automotive Research (USCAR)

414

Improving the Performance of a Two-Shell Column with Advanced Control  

E-Print Network [OSTI]

column has yielded stable operation with reduced utility consumption and increased capacity. Prior to the application of advanced controls this column was a plant capacity limit and composition control was very difficult. The advanced controls now... allow composition to be controlled within 15% of setpoint at both ends of the column. specific energy consumption has been reduced significantly, yielding higher potential capacity. The control strategies implemented include analyzer composition...

Morrison, T. A.; Laflamme, D.

415

Small Column Ion Exchange at Savannah River Site Technology Readiness Assessment Report  

Broader source: Energy.gov (indexed) [DOE]

Small Column Ion Exchange Technology at Small Column Ion Exchange Technology at Savannah River Site U.S. Department of Energy Office of Environmental Management Office of Technology Innovation and Development Technology Readiness Assessment Report November 2011 U.S. DOE-EM Office of Technology Innovation and Development November 11, 2011 Small Column Ion Exchange Program Technology Readiness Assessment Page 2 of 112 This page intentionally left blank November 11, 2011 U.S. DOE-EM Office of Technology Innovation and Development Small Column Ion Exchange Program Technology Readiness Assessment Page 3 of 112 APPROVALS ________________________ _ Harry D. Harmon Date

416

Automation of Column-based Radiochemical Separations: A Comparison of Fluidic, Robotic, and Hybrid Architectures  

SciTech Connect (OSTI)

Two automated systems have been developed to perform column-based radiochemical separation procedures. These new systems are compared with past fluidic column separation architectures, with emphasis on setting up samples and columns in parallel, and using disposable components so that no sample contacts any surface that any other sample has contacted. In the first new approach, a general purpose liquid handling robot has been modified and programmed to perform anion exchange separations using 2 mL column bed columns in 6 mL plastic disposable column bodies. In the second new approach, a fluidic system has been developed to deliver clean reagents through disposable manual valves to six disposable columns, with a mechanized fraction collector that positions four rows of six vials below the columns. The samples are delivered to the columns via a manual 3-port valve from disposable syringes. This second approach, a hybrid of fluidic and mechanized components, is simpler and faster in performing anion exchange procedures for the recovery and purification of plutonium from samples.

Grate, Jay W.; O'Hara, Matthew J.; Farawila, Anne F.; Ozanich, Richard M.; Owsley, Stanley L.

2011-09-26T23:59:59.000Z

417

Development of a Fuzzy Logic Controller for a Distillation Column using Rockwell Software .  

E-Print Network [OSTI]

??In this thesis, an alternative control method based on Fuzzy Inference System (FIS) is proposed to keep the product composition of a distillation column constant. (more)

Nizami, Muhammad

2011-01-01T23:59:59.000Z

418

Integrated Silica-Bead Separation Column for On-Chip LC-ESI  

E-Print Network [OSTI]

area as a 58m ID capillary. ESI nozzle freestandingESI voltage is on, Cross Section Dimension Equivalent Column ID

He, Qing; Xie, Jun; Tai, Yu-Chong; Miao, Yunan; Lee, Terry D

2004-01-01T23:59:59.000Z

419

E-Print Network 3.0 - activated carbon columns Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

- School of Physics, University of Sydney Collection: Materials Science ; Physics 6 United States Department of Summary: column is non-zero only in the year of harvest, 2015....

420

E-Print Network 3.0 - absorbing column densities Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

John - National Radio Astronomy Observatory Collection: Physics 3 Characteristics and energy balance of a plasma column sustained by a surface wave Summary: density distribution...

Note: This page contains sample records for the topic "industries rse column" 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

E-Print Network 3.0 - anaerobic aquifer column Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Explorit Topic List Advanced Search Sample search results for: anaerobic aquifer column Page: << < 1 2 3 4 5 > >> 1 Biodegradation 11: 107116, 2000. 2001 Kluwer Academic...

422

A new warmstarting strategy for the primal-dual column generation ...  

E-Print Network [OSTI]

Jun 24, 2012 ... Abstract: This paper presents a new warmstarting technique in the context of a primal-dual column generation method applied to solve a...

Jacek Gondzio

2012-06-24T23:59:59.000Z

423

Industrial Facilities | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Industrial Facilities Industrial Facilities Industrial Facilities October 8, 2013 - 10:14am Addthis The Federal Energy Management Program (FEMP) encourages Federal agencies requiring assistance with implementing energy-efficiency measures in their industrial facilities to hire a U.S. Department of Energy Industrial Assessment Center (IAC) for assessment services. The following resources can be used to plan and implement industrial facility energy-efficiency projects. Technical Publications: The Advanced Manufacturing Office (AMO) website offers fact sheets, handbooks, and self-assessment manuals covering steam system efficiency, fundamentals of compressed air systems, motor systems management, and other topics. Tools: The AMO website offers valuable software tools for evaluating

424

Essays on the industrial organization of the airline industry  

E-Print Network [OSTI]

This thesis analyzes several aspects of the Industrial Organization of the airline industry in three separate chapters. Chapter 1 investigates the effect of air traffic delays on airline prices. The degree to which prices ...

Januszewski, Silke I. (Silke Irene), 1974-

2003-01-01T23:59:59.000Z

425

DUST EXTINCTION BIAS IN THE COLUMN DENSITY DISTRIBUTION OF GAMMA-RAY BURSTS: HIGH COLUMN DENSITY, LOW-REDSHIFT GRBs ARE MORE HEAVILY OBSCURED  

SciTech Connect (OSTI)

The afterglows of gamma-ray bursts (GRBs) have more soft-X-ray absorption than expected from the foreground gas column in the Galaxy. While the redshift of the absorption can in general not be constrained from current X-ray observations, it has been assumed that the absorption is due to metals in the host galaxy of the GRB. The large sample of X-ray afterglows and redshifts now available allows the construction of statistically meaningful distributions of the metal column densities. We construct such a sample and show, as found in previous studies, that the typical absorbing column density (N{sub H{sub X}}) increases substantially with redshift, with few high column density objects found at low-to-moderate redshifts. We show, however, that when highly extinguished bursts are included in the sample, using redshifts from their host galaxies, high column density sources are also found at low-to-moderate redshift. We infer from individual objects in the sample and from observations of blazars that the increase in column density with redshift is unlikely to be related to metals in the intergalactic medium or intervening absorbers. Instead we show that the origin of the apparent increase with redshift is primarily due to dust extinction bias: GRBs with high X-ray absorption column densities found at z {approx}< 4 typically have very high dust extinction column densities, while those found at the highest redshifts do not. It is unclear how such a strongly evolving N{sub H{sub X}}/A{sub V} ratio would arise, and based on current data, remains a puzzle.

Watson, Darach [Dark Cosmology Centre, Niels Bohr Institute, University of Copenhagen, Juliane Maries Vej 30, DK-2100 Copenhagen O (Denmark); Jakobsson, Pall, E-mail: darach@dark-cosmology.dk, E-mail: pja@raunvis.hi.is [Centre for Astrophysics and Cosmology, Science Institute, University of Iceland, Dunhaga 5, IS-107 Reykjavik (Iceland)

2012-08-01T23:59:59.000Z

426

Coal industry annual 1993  

SciTech Connect (OSTI)

Coal Industry Annual 1993 replaces the publication Coal Production (DOE/FIA-0125). This report presents additional tables and expanded versions of tables previously presented in Coal Production, including production, number of mines, Productivity, employment, productive capacity, and recoverable reserves. This report also presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for a wide audience including the Congress, Federal and State agencies, the coal industry, and the general public. In addition, Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility Power Producers who are not in the manufacturing, agriculture, mining, construction, or commercial sectors. This consumption is estimated to be 5 million short tons in 1993.

Not Available

1994-12-06T23:59:59.000Z

427

Industrial Assessment Centers (IACs)  

Broader source: Energy.gov [DOE]

Small- and medium-sized manufacturers may be eligible to receive a no-cost assessment provided by DOE Industrial Assessment Centers (IACs). Teams located at 24 universities around the country conduct the energy audits to identify opportunities to improve productivity, reduce waste, and save energy. Each manufacturer typically identifies about $55,000 in potential annual savings on average. Over 15,000 IAC assessments have been conducted. IACs also train the next-generation of energy savvy engineers.

428

Recent developments: Industry briefs  

SciTech Connect (OSTI)

This article is the `Industry Briefs` portion of Nuexco`s July 1992 `Recent Developments` section. Specific items mentioned include: (1) the merger of Entergy and Gulf States Utilities, (2) restart of the Sequoyah Fuels facility in Oklahoma, (3) development of the 7th and 8th nuclear units in Taiwan, (4) purchase of interest in Rio Algom, Ltd, and (5) acquisition of the Italian firm AGIP by a Canadian company.

NONE

1992-07-01T23:59:59.000Z

429

Industrial Analytics Corporation  

SciTech Connect (OSTI)

The lost foam casting process is sensitive to the properties of the EPS patterns used for the casting operation. In this project Industrial Analytics Corporation (IAC) has developed a new low voltage x-ray instrument for x-ray radiography of very low mass EPS patterns. IAC has also developed a transmitted visible light method for characterizing the properties of EPS patterns. The systems developed are also applicable to other low density materials including graphite foams.

Industrial Analytics Corporation

2004-01-30T23:59:59.000Z

430

SymposiumandIndustrialAffiliatesProgramLightinAction Industrial Affiliates Program  

E-Print Network [OSTI]

SymposiumandIndustrialAffiliatesProgramLightinAction #12;Industrial Affiliates Program Friday, 8 Session I Abstract: Recently Additive Manufacturing (AM) has been hailed as the "third industrial revolution" by Economist magazine [April -2012]. Precision of the product manufactured by AM largely depends

Van Stryland, Eric

431

NETL: Industrial Capture & Storage  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industrial Capture & Storage Industrial Capture & Storage Technologies Industrial Capture & Storage The United States Department of Energy, National Energy Technology Laboratory (DOE/NETL, or DOE) is currently implementing a program titled "Carbon Capture and Sequestration from Industrial Sources and Innovative Concepts for Beneficial CO2 Use." This CO2 Capture and Sequestration (CCS) and CO2 use program is a cost-shared collaboration between the Government and industry whose purpose is to increase investment in clean industrial technologies and sequestration projects. In accordance with the American Recovery and Reinvestment Act of 2009, and Section 703 of Public Law 110-140, DOE's two specific objectives are to demonstrate: (1) Large-Scale Industrial CCS projects from industrial sources, and (2) Innovative Concepts for beneficial CO2 use.

432

LCA experiences in Danish industry  

Science Journals Connector (OSTI)

A study has been performed on Danish industrys experiences with LCA. Twenty-six enterprises from different sectors conpleted ... learning phase, and experiences with full-blown LCAs are sparse. Expectations of ...

Ole Broberg; Per Christensen

1999-09-01T23:59:59.000Z

433

Energy Efficient Industrial Building Design  

E-Print Network [OSTI]

The design of industrial buildings today is still largely unaffected by energy legislation and building technologies. The present corporate tax structures for industry do little to encourage investment of capital for future operating cost savings...

Holness, G. V. R.

1983-01-01T23:59:59.000Z

434

Solar Industrial Process Heat Production  

Science Journals Connector (OSTI)

An overview of state of the art in producing industrial process heat via solar energy is presented. End-use matching methodology for assessing solar industrial process heat application potential is described f...

E. zil

1987-01-01T23:59:59.000Z

435

Industrial Heat Pump Design Options  

E-Print Network [OSTI]

There are numerous industries that can incorporate heat pumps into their operations to save energy costs and payoff the investment in well under two years. Many of these industries can cut energy costs associated with evaporation by over 75...

Gilbert, J. S.

436

Texas Industries of the Future  

E-Print Network [OSTI]

The purpose of the Texas Industries of the Future program is to facilitate the development, demonstration and adoption of advanced technologies and adoption of best practices that reduce industrial energy usage, emissions, and associated costs...

Ferland, K.

437

Empirical essays in industrial organization  

E-Print Network [OSTI]

In this dissertation, I present three empirical essays that encompass topics in industrial organization. The first essay examines the degree of competition and spatial differentiation in the retail industry by exploiting ...

Chiou, Lesley C

2005-01-01T23:59:59.000Z

438

High Technology and Industrial Systems  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Semiconductor clean room Semiconductor clean room High Technology and Industrial Systems EETD's research on high technology buildings and industrial systems is aimed at reducing energy consumed by the industrial sector in manufacturing facilities, including high technology industries such as data centers, cleanrooms in the such industries as electronics and pharmaceutical manufacturing, and laboratories, improving the competitiveness of U.S. industry. Contacts William Tschudi WFTschudi@lbl.gov (510) 495-2417 Aimee McKane ATMcKane@lbl.gov (518) 782-7002 Links High-Performance Buildings for High-Tech Industries Industrial Energy Analysis Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends

439

Innovative Utility Pricing for Industry  

E-Print Network [OSTI]

INNOVATIVE UTILITY PRICING FOR INDUSTRY James A. Ross Drazen-Brubaker &Associates, Inc. St. Louis, Missouri ABSTRACT The electric utility industry represents only one source of power available to industry. Al though the monopolistic... structure of the electric utility industry may convey a perception that an electric utility is unaffected by competition, this is an erroneous perception with regard to in dustry. Electric utilities face increased compe tition, both from other utilities...

Ross, J. A.

440

EPRI's Industrial Energy Management Program  

E-Print Network [OSTI]

EPRI's INDUSTRIAL ENERGY MANAGEMENT PROGRAM ED MERGENS MANAGER EPRI's CHEMICALS & PETROLEUM OFFICE HOUSTON, TEXAS ABSTRACT The loss of American industry jobs to foreign competition is made worse by national concerns over fuels combustion... and other industrial activity effects on our environment. Energy efficiency programs and new electrical processes can playa major role in restoring the environment and in creating a stronger industrial sector in the national economy. Since 1984...

Mergens, E.; Niday, L.

Note: This page contains sample records for the topic "industries rse column" 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

Separation and Detection of Sulfur-Containing Anions Using Single-Column Ion Chromatography  

Science Journals Connector (OSTI)

......derivatized. With the resin-based column...states or complex ions. Sulfide is...Systems with resin-based anion exchange (RBAX) columns...for which ion-exchange H...detectors. In addition to electrical...since its early demonstration. It has been......

Richard E. Poulson; Harry M. Borg

1987-09-01T23:59:59.000Z

442

A dusty plasma device for producing extended, steady state, magnetized, dusty plasma columns  

E-Print Network [OSTI]

A dusty plasma device for producing extended, steady state, magnetized, dusty plasma columns Wenjun with an existing Q machine, to produce extended, steady state, magnetized plasma columns. The dusty plasma device (DPD) is to be used for the investigation of waves in dusty plasmas and of other plasma/dust aspects

Merlino, Robert L.

443

Light-scattering properties of plate and column ice crystals generated in a laboratory cold chamber  

E-Print Network [OSTI]

with a diode laser beam. This cloud chamber produces distinct plate and hollow column ice crystal types. The cloud chamber developed at the Desert Re- search Institute has been used to produce ice clouds composedLight-scattering properties of plate and column ice crystals generated in a laboratory cold chamber

Liou, K. N.

444

JOURNAL OF STRUCTURAL ENGINEERING / OCTOBER 2000 / 1113 SEISMIC RESPONSE OF EXTERIOR RC COLUMN-TO-STEEL  

E-Print Network [OSTI]

JOURNAL OF STRUCTURAL ENGINEERING / OCTOBER 2000 / 1113 SEISMIC RESPONSE OF EXTERIOR RC COLUMN-TO-STEEL: The inelastic cyclic response of hybrid connections consisting of RC columns and steel beams (RCS) is studied of the steel beams, steel band plates or cover plates surrounding the joint region, steel fiber concrete

Parra-Montesinos, Gustavo J.

445

A Novel Cross-Flow Cascade Packed Column Design and Simulation  

Science Journals Connector (OSTI)

A Novel Cross-Flow Cascade Packed Column Design and Simulation ... Thus the abundant area for gas flow will decrease gas-phase pressure drop, and it can allow operation at gas velocities above the flooding points of countercurrent packed columns. ...

Fengrong Chen; Rongqi Zhou; Zhanting Duan; Yumei Liu

1999-07-03T23:59:59.000Z

446

Validation of Ozone Monitoring Instrument nitrogen dioxide columns E. A. Celarier,1  

E-Print Network [OSTI]

Validation of Ozone Monitoring Instrument nitrogen dioxide columns E. A. Celarier,1 E. J. Brinksma the standard nitrogen dioxide (NO2) data product (Version 1.0.), which is based on measurements made), Validation of Ozone Monitoring Instrument nitrogen dioxide columns, J. Geophys. Res., 113, D15S15, doi:10

447

Use of Two Distillation Columns in Systems with Maximum Temperature Limitations  

E-Print Network [OSTI]

Use of Two Distillation Columns in Systems with Maximum Temperature Limitations Rebecca H. Masel, Pennsylvania 18015, United States ABSTRACT: Maximum temperature limitations are encountered in distillation of the bottoms product fixes the column base pressure and, hence, the condenser pressure. The distillate

Gilchrist, James F.

448

Dividing wall columns for heterogeneous azeotropic distillation Quang-Khoa Le1  

E-Print Network [OSTI]

Dividing wall columns for heterogeneous azeotropic distillation Quang-Khoa Le1 , Ivar J. Halvorsen2 of this work is to implement heterogeneous azeotropic distillation schemes in a dividing wall column (DWC distillation, Petlyuk arrangement, energy saving. 1. Introduction Distillation is one of the most energy

Skogestad, Sigurd

449

Cyclotron waves in a non-neutral plasma column Daniel H. E. Dubin  

E-Print Network [OSTI]

plasma column with near-Maxwellian velocity distributions. We focus on the z-independent component#12;Cyclotron waves in a non-neutral plasma column Daniel H. E. Dubin Department of Physics April 2013; published online 25 April 2013) A kinetic theory of linear electrostatic plasma waves

California at San Diego, University of

450

Cyclotron Waves in a Nonneutral Plasma Column Daniel H.E. Dubin  

E-Print Network [OSTI]

plasma column with near-Maxwellian velocity distributions. We focus on the z-independent componentCyclotron Waves in a Nonneutral Plasma Column Daniel H.E. Dubin Department of Physics, University of California at San Diego, La Jolla, California 92093 (Dated: February 22, 2013 [submitted to Phys. Plasmas

California at San Diego, University of

451

Cyclotron waves in a non-neutral plasma column Daniel H. E. Dubin  

E-Print Network [OSTI]

plasma column with near-Maxwellian velocity distributions. We focus on the z-independent componentCyclotron waves in a non-neutral plasma column Daniel H. E. Dubin Citation: Phys. Plasmas 20. Additional information on Phys. Plasmas Journal Homepage: http://pop.aip.org/ Journal Information: http

California at San Diego, University of

452

Sorption of four triarylmethane dyes in a sandy soil determined by batch and column experiments  

E-Print Network [OSTI]

Sorption of four triarylmethane dyes in a sandy soil determined by batch and column experiments for their suitability as hydrological tracers. Sorption is one of the limiting factors for the suitability of a dye tracer. In this study we examined the sorption of four dyes to a sandy soil using batch and column

Flury, Markus

453

PRIMARY RESEARCH PAPER Water column oxygen demand and sediment oxygen flux  

E-Print Network [OSTI]

PRIMARY RESEARCH PAPER Water column oxygen demand and sediment oxygen flux: patterns of oxygen dissolved oxygen (DO) levels often occur during summer in tidal creeks along the southeastern coast of the USA. We analyzed rates of oxygen loss as water-column biochemical oxygen demand (BOD5) and sediment

Mallin, Michael

454

E-Print Network 3.0 - argon plasma column Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

surface wave produced plasma column obtained at 40 mtorr of argon in a 25 mm i.d. pyrex tube... shows the plasma column obtained at 40 mtorr of argon in a 25 mm i.d. tube with 80 W...

455

Griffith 4/2004 Small Scale His Tag Enzyme Purification with TALON Affinity Column Resin  

E-Print Network [OSTI]

Griffith 4/2004 Small Scale His Tag Enzyme Purification with TALON Affinity Column Resin Overview: This is a small scale method for purifying a His-tagged protein using commercial affinity resin. Materials: TALON rotor, at 18 K rpm) at 4 °C. 7. Save supernatant fraction for column purification. Supernatant can

Doering, Tamara

456

Micro-miniature gas chromatograph column disposed in silicon wafers  

DOE Patents [OSTI]

A micro-miniature gas chromatograph column is fabricated by forming matching halves of a circular cross-section spiral microcapillary in two silicon wafers and then bonding the two wafers together using visual or physical alignment methods. Heating wires are deposited on the outside surfaces of each wafer in a spiral or serpentine pattern large enough in area to cover the whole microcapillary area inside the joined wafers. The visual alignment method includes etching through an alignment window in one wafer and a precision-matching alignment target in the other wafer. The two wafers are then bonded together using the window and target. The physical alignment methods include etching through vertical alignment holes in both wafers and then using pins or posts through corresponding vertical alignment holes to force precision alignment during bonding. The pins or posts may be withdrawn after curing of the bond. Once the wafers are bonded together, a solid phase of very pure silicone is injected in a solution of very pure chloroform into one end of the microcapillary. The chloroform lowers the viscosity of the silicone enough that a high pressure hypodermic needle with a thumbscrew plunger can force the solution into the whole length of the spiral microcapillary. The chloroform is then evaporated out slowly to leave the silicone behind in a deposit.

Yu, Conrad M. (Antioch, CA)

2000-01-01T23:59:59.000Z

457

Correlate the flooding of packed columns a new way  

SciTech Connect (OSTI)

Packed-column pressure-drop and flooding-point prediction has received new attention recently. These publications, like most earlier ones, focus on gas-flow-induced pressure drop, and flooding due to liquid entrainment in the packing. A few years ago, some problems occurred when packing was applied in high-pressure distillation service, such as ethylene and propylene superfractionators. Apparently, the maximum liquid-through-put capacity was lower than predicted from the gas-flow-induced flooding correlations. Such situation exists when predicting the performance of valve trays in similar service: liquid downflow can be limiting before entrainment flooding occurs. The reason for this behavior is the relatively low liquid and high vapor density of these high-pressure services. The liquid/vapor density ratios are typically 10--15:1 for such hydrocarbon systems. In contrast, for low-pressure water/air systems, this ratio is in the range 300--800:1. A large amount of experimental data for low-pressure systems has been used to correlate pressure drop and flooding, but it doesn't cover the technically important region of low liquid and high vapor density. This Article suggests an approach for understanding such liquid-limited systems.

Kaiser, V.

1994-06-01T23:59:59.000Z

458

Cyclotron waves in a non-neutral plasma column  

SciTech Connect (OSTI)

A kinetic theory of linear electrostatic plasma waves with frequencies near the cyclotron frequency {Omega}{sub c{sub s}} of a given plasma species s is developed for a multispecies non-neutral plasma column with general radial density and electric field profiles. Terms in the perturbed distribution function up to O(1/{Omega}{sub c{sub s}{sup 2}}) are kept, as are the effects of finite cyclotron radius r{sub c} up to O(r{sub c}{sup 2}). At this order, the equilibrium distribution is not Maxwellian if the plasma temperature or rotation frequency is not uniform. For r{sub c}{yields}0, the theory reproduces cold-fluid theory and predicts surface cyclotron waves propagating azimuthally. For finite r{sub c}, the wave equation predicts that the surface wave couples to radially and azimuthally propagating Bernstein waves, at locations where the wave frequency equals the local upper hybrid frequency. The equation also predicts a second set of Bernstein waves that do not couple to the surface wave, and therefore have no effect on the external potential. The wave equation is solved both numerically and analytically in the WKB approximation, and analytic dispersion relations for the waves are obtained. The theory predicts that both types of Bernstein wave are damped at resonances, which are locations where the Doppler-shifted wave frequency matches the local cyclotron frequency as seen in the rotating frame.

Dubin, Daniel H. E. [Department of Physics, University of California at San Diego, La Jolla, California 92093 (United States)

2013-04-15T23:59:59.000Z

459

PETROLEUM INDUSTRY INFORMATION REPORTING ACT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION PETROLEUM INDUSTRY INFORMATION REPORTING ACT: RULEMAKING;1 EXECUTIVE SUMMARY In the six months since the new Petroleum Industry Information Reporting Act (PIIRA which is used by the petroleum industry and market trading groups to assess the trends in California

460

Creating Value Wood Products Industry  

E-Print Network [OSTI]

and an information dissemination plan. The program areas are Industrial Process Improvement, Environmental Assessment1 Creating Value for the Wood Products Industry Creating Value for the Wood Products Industry Louisiana Forest Products Development Center #12;2 Louisiana is blessed with quality timberland

Note: This page contains sample records for the topic "industries rse column" 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

Guardian Industries | Open Energy Information  

Open Energy Info (EERE)

Industries Industries Jump to: navigation, search Name Guardian Industries Place Auburn Hills, MI Website http://www.guardian.com/ References Results of NREL Testing (Glass Magazine)[1] Guardian News Archive[2] Information About Partnership with NREL Partnership with NREL Yes Partnership Type Other Relationship Partnering Center within NREL Transportation Technologies and Systems Partnership Year 2002 LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Guardian Industries is a company located in Auburn Hills, MI. References ↑ "Results of NREL Testing (Glass Magazine)" ↑ "Guardian News Archive" Retrieved from "http://en.openei.org/w/index.php?title=Guardian_Industries&oldid=381719" Categories: Clean Energy Organizations

462

Coal Industry Annual 1995  

SciTech Connect (OSTI)

This report presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. Consumption for nonutility power producers not included in this report is estimated to be 21 million short tons for 1995.

NONE

1996-10-01T23:59:59.000Z

463

Colorado Industrial Challenge and Recognition Program | Department...  

Broader source: Energy.gov (indexed) [DOE]

Colorado Industrial Challenge and Recognition Program Colorado Industrial Challenge and Recognition Program This fact sheet offers details of the Colorado Industrial program state...

464

NETL: Industrial Capture & Storage  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1 1 Technologies Industrial Capture & Storage Area 1 Large-Scale Industrial CCS Program The United States Department of Energy, National Energy Technology Laboratory (DOE/NETL, or DOE) is currently implementing a program titled "Carbon Capture and Sequestration from Industrial Sources and Innovative Concepts for Beneficial CO2 Use." This CO2 Capture and Sequestration (CCS) and CO2 use program is a cost-shared collaboration between the Government and industry whose purpose is to increase investment in clean industrial technologies and sequestration projects. In accordance with the American Recovery and Reinvestment Act of 2009, and Section 703 of Public Law 110-140, DOE's two specific objectives are to demonstrate: (1) Large-Scale Industrial CCS projects from industrial sources, and (2) Innovative Concepts for beneficial CO2 use.

465

EVIDENCE OF CONTRIBUTION OF INTERVENING CLOUDS TO GAMMA-RAY BURST'S X-RAY COLUMN DENSITY  

SciTech Connect (OSTI)

The origin of excess of X-ray column density with respect to optical extinction in gamma-ray bursts (GRBs) is still a puzzle. A proposed explanation of the excess is the photoelectric absorption due to the intervening clouds along a GRB's line of sight. Here, we test this scenario by using the intervening Mg II absorption as a tracer of the neutral hydrogen column density of the intervening clouds. We identify a connection between the large X-ray column density (and large column density ratio of log (N{sub H,X}/N{sub H{sub I}})?0.5) and large neutral hydrogen column density probed by the Mg II doublet ratio (DR). In addition, GRBs with large X-ray column density (and large ratio of log (N{sub H,X}/N{sub H{sub I}})>0) tend to have multiple saturated intervening absorbers with DR < 1.2. These results therefore indicate an additional contribution from the intervening system to the observed X-ray column density in some GRBs, although the contribution from the host galaxy alone cannot be excluded based on this study.

Wang, J., E-mail: wj@bao.ac.cn [National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012 (China)

2013-10-20T23:59:59.000Z

466

Research Projects in Industrial Technology.  

SciTech Connect (OSTI)

The purpose of this booklet is to briefly describe ongoing and completed projects being carried out by Bonneville Power Administration's (BPA) Industrial Technology Section. In the Pacific Northwest, the industrial sector is the largest of the four consuming sectors. It accounted for thirty-nine percent of the total firm demand in the region in 1987. It is not easy to asses the conservation potential in the industrial sector. Recognizing this, the Northwest Power Planning Council established an objective to gain information on the size, cost, and availability of the conservation resource in the industrial sector, as well as other sectors, in its 1986 Power Plan. Specifically, the Council recommended that BPA operate a research and development program in conjunction with industry to determine the potential costs and savings from efficiency improvements in industrial processes which apply to a wide array of industrial firms.'' The section, composed of multidisciplinary engineers, provides technical support to the Industrial Programs Branch by designing and carrying out research relating to energy conservation in the industrial sector. The projects contained in this booklet are arranged by sector --industrial, utility, and agricultural -- and, within each sector, chronologically from ongoing to completed, with those projects completed most recently falling first. For each project the following information is given: its objective approach, key findings, cost, and contact person. Completed projects also include the date of completion, a report title, and report number.

United States. Bonneville Power Administration. Industrial Technology Section.

1990-06-01T23:59:59.000Z

467

Whitacre College of Engineering Industrial Engineering Department  

E-Print Network [OSTI]

Whitacre College of Engineering Industrial Engineering Department Department Chair and Professor of Industrial Engineering. The Industrial Engineering Department at Texas Tech University has a distinguished industrial engineering education and provide appropriate service to the department, university

Gelfond, Michael

468

Faculty of Engineering & Design Industrial Placements  

E-Print Network [OSTI]

Faculty of Engineering & Design Industrial Placements A guide for industry #12;Industrial placements The Faculty of Engineering & Design has built close links with engineering companies through research, projects, placements and graduate employees. We know that working with industry ensures our

Burton, Geoffrey R.

469

Influence of the gas-flow Reynolds number on a plasma column in a glass tube  

SciTech Connect (OSTI)

Atmospheric-plasma generation inside a glass tube is influenced by gas stream behavior as described by the Reynolds number (Rn). In experiments with He, Ne, and Ar, the plasma column length increases with an increase in the gas flow rate under laminar flow characterized by Rn < 2000. The length of the plasma column decreases as the flow rate increases in the transition region of 2000 < Rn < 4000. For a turbulent flow beyond Rn > 4000, the length of the plasma column is short in front of the electrode, eventually leading to a shutdown.

Jin, Dong Jun; Uhm, Han S.; Cho, Guangsup [Department of Electronic and Biological Physics, Kwangwoon University, 20 Kwangwon-Ro, Nowon-Gu, Seoul 139-701 (Korea, Republic of)] [Department of Electronic and Biological Physics, Kwangwoon University, 20 Kwangwon-Ro, Nowon-Gu, Seoul 139-701 (Korea, Republic of)

2013-08-15T23:59:59.000Z

470

A study of flow patterns and dissolution kinetics in bubble columns  

SciTech Connect (OSTI)

Research objectives were to: study liquid and gas phase flow patterns in a bubble column reactor by comparing observations made with reported observations and hydrodynamic models; study mixing of two miscible liquid solutions with and without solid suspension in a bubble column reactor; study the kinetics of dissolution of a reactive solid phase suspended in the liquid phase in a bubble column reactor; and calculate mass transfer coefficients and apparent reaction rate from suitable mathematical models. Observations and conclusions are summarized in a series of viewgraphs.

Long, R.; Holbrook, S.; Chang, T. [New Mexico State Univ., Las Cruces, NM (United States). Dept. of Chemical Engineering

1997-11-01T23:59:59.000Z

471

industrial & systems (ISE) Industrial and Systems Engineers use engineering and business principles  

E-Print Network [OSTI]

70 industrial & systems (ISE) Industrial and Systems Engineers use engineering and business systems to help companies compete in today's global marketplace. The Industrial and Systems Engineer. Programs Available · Industrial and Systems Engineering Bachelor of Science 129 units · Industrial

Rohs, Remo

472

industrial & systems (ISE) Industrial and Systems engineers use engineering and business principles  

E-Print Network [OSTI]

74 industrial & systems (ISE) Industrial and Systems engineers use engineering and business to help companies compete in today's global marketplace. The Industrial and Systems engineer's task. Programs Available · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial

Rohs, Remo

473

Zoe Industries, Inc.  

Broader source: Energy.gov (indexed) [DOE]

Issued: February 9, 2012 Issued: February 9, 2012 BEFORE THE U.S. DEPARTMENT OF ENERGY WASHINGTON, D.C. 20585 ) ) ) ) ) ORDER Case Number: 2011-SW-2912 By the General Counsel, U.S. Department of Energy: 1. In this Order, I adopt the attached Compromise Agreement entered into between the U.S. Department of Energy ("DOE") and Zoe Industries, Inc. ("Respondent"). The Compromise Agreement resolves the case initiated against Respondent pursuant to 10 C.F.R. § 429.122 by Notice of Proposed Civil Penalty, alleging that Respondent distributed in commerce in the United States the Giessdorf eight-jet basic model showerhead, SKU 150043, which failed to meet the applicable standard for water usage. See 10 C.F.R. § 430.32(p). 2. The DOE and Respondent have negotiated the terms of the Compromise Agreement

474

ESCO Industry in China  

Broader source: Energy.gov (indexed) [DOE]

ESCO Development in ESCO Development in China China-America EE Forum 2011.5.6, S.F Contents Fast development 1 Great potential 2 Opportunities & Challenges 3 Function of EMCA 4 China Energy Conservation project  Officially started in 1998;  It is a key international cooperation project in the field of energy conservation by Chinese government and World Bank/GEF;  The main purpose of the project is to promote Energy Performance Contracting (EPC) mechanism and develop ESCO industry in China Project progress-1 st phase 3 pilot ESCOs: Beijing Liaoning Shandong Phase I EC information Dissemination Center(ECIDC) Project progress-2 nd phase EMCA Phase II I& G New and Potential ESCOs Technical support Financial support Project Progress- 2 nd Phase EMCA---provide practical technical

475

Zoe Industries, Inc.  

Broader source: Energy.gov (indexed) [DOE]

D.C. 20585 D.C. 20585 ) ) ) ) ) Case Number: 2011-SW-2912 Issued: September 28, 2011 NOTICE OF NONCOMPLIANCE DETERMINATION Manufacturers and private labelers are prohibited from distributing covered products that do not comply with applicable Federal water conservation standards. 10 C.F.R. § 429.102; 42 U.S.C. § 6302. On July 20, 2011, DOE tested four units of the Giessdorf eight-jet basic model showerhead, SKU 150043 ("Giessdorf 150043"), manufactured by GiessdorfPlumbing, Inc. ("Giessdorf"), and imported by Zoe Industries, Inc. ("Zoe"), in accordance with DOE test procedures (10 C.F.R. Part 430, Subpart B, Appendix S). DOE's testing demonstrated that the Giessdorf 150043 model is not in compliance with Federal law. First, Federal water conservation standards require that the water flow for a showerhead

476

End User Perspective - Industrial  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Solid State Research Center Solid State Research Center DOE Fuel Cell Portable Power Workshop End User Perspective - Industrial Consumer Electronics Power (< 20-50W) Department of Energy Fuel Cell Portable Power Workshop Jerry Hallmark Manager Energy Technologies Lab Motorola Labs Solid State Research Center DOE Fuel Cell Portable Power Workshop Outline * Energy & Power of Portable Devices * Fuel Cell Applications & Cost * Key Requirements & Challenges * Fuels for Portable Fuel Cells * Fuel Transportation Regulations and Standards * Methanol Fuel Cells - Direct Methanol Fuel Cells - Reformed Methanol Fuel Cells * Technical Challenges 2 Solid State Research Center DOE Fuel Cell Portable Power Workshop Portable Electronics Yearly Energy Usage  :KU 1990 1980  :KU

477

Rebuttal: Interacting With the Pharmaceutical Industry  

E-Print Network [OSTI]

9. 6. Angell M. The pharmaceutical industry: To whom is ithas shown that the pharmaceutical industry has profited some

Stone, Susan; Herbert, Mel

2003-01-01T23:59:59.000Z

478

ITP Industrial Materials: Development and Commercialization of...  

Broader source: Energy.gov (indexed) [DOE]

Industrial Materials: Development and Commercialization of Alternative Carbon Fiber Precursors and Conversion Technologies ITP Industrial Materials: Development and...

479

Table E13.3. Electricity: Sales to Utility and Nonutility Purchasers, 1998  

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

3. Electricity: Sales to Utility and Nonutility Purchasers, 1998;" 3. Electricity: Sales to Utility and Nonutility Purchasers, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Utility and Nonutility Purchasers;" " Unit: Million Kilowatthours." ,"Total of",,,"RSE" "Economic","Sales and","Utility","Nonutility","Row" "Characteristic(a)","Transfers Offsite","Purchaser(b)","Purchaser(c)","Factors" ,"Total United States" "RSE Column Factors:",0.9,1,1.1 "Value of Shipments and Receipts"

480

Table 11.6 Electricity: Sales to Utility and Nonutility Purchasers, 2002  

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

Electricity: Sales to Utility and Nonutility Purchasers, 2002;" Electricity: Sales to Utility and Nonutility Purchasers, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Utility and Nonutility Purchasers;" " Unit: Million Kilowatthours." ,"Total of",,,"RSE" "Economic","Sales and","Utility","Nonutility","Row" "Characteristic(a)","Transfers Offsite","Purchaser(b)","Purchaser(c)","Factors" ,"Total United States" "RSE Column Factors:",0.9,1.3,0.9 "Value of Shipments and Receipts" "(million dollars)"

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


481

Table 11.4 Electricity: Components of Onsite Generation, 2002  

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

4 Electricity: Components of Onsite Generation, 2002;" 4 Electricity: Components of Onsite Generation, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Onsite-Generation Components;" " Unit: Million Kilowatthours." " ",,,"Renewable Energy" ,,,"(excluding Wood",,"RSE" "Economic","Total Onsite",,"and",,"Row" "Characteristic(a)","Generation","Cogeneration(b)","Other Biomass)(c)","Other(d)","Factors" ,"Total United States" "RSE Column Factors:",0.8,0.8,1.1,1.4 "Value of Shipments and Receipts"

482

industrial sector | OpenEI  

Open Energy Info (EERE)

industrial sector industrial sector Dataset Summary Description Biomass energy consumption and electricity net generation in the industrial sector by industry and energy source in 2008. This data is published and compiled by the U.S. Energy Information Administration (EIA). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords 2008 biomass consumption industrial sector Data application/vnd.ms-excel icon industrial_biomass_energy_consumption_and_electricity_2008.xls (xls, 27.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata

483

User Facilities for Industry 101  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Satellite!Workshop!10!-!User!Facilities!for!Industry!101! Satellite!Workshop!10!-!User!Facilities!for!Industry!101! Organizers:+Andreas+Roelofs+(CNM),+Jyotsana+Lal+(APS),+Katie+Carrado+Gregar+(CNM),+and+Susan+Strasser+ (APS)! ! In! order! to! increase! awareness! of! the! industrial! community! to! Argonne! National! Laboratory! user! facilities,!the!Advanced!Photon!Source!(APS),!the!Center!for!Nanoscale!Materials!(CNM)!and!the!Electron! Microscopy!Center!(EMC)!welcomed!industrial!scientists,!engineers!and!related!professionals!to!a!oneC day! workshop! to! learn! more! about! Argonne's! National! Laboratory! and! the! capabilities/techniques! available! for! their! use.! The! workshop! showcased! several! successful! industrial! user! experiments,! and! explained! the! different! ways! in! which! industrial! scientists! can! work! at! Argonne! or! with! Argonne!

484

Industry Profile | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Industry Profile Industry Profile Industry Profile November 1, 2013 - 11:40am Addthis The largest energy consuming industrial sectors account for the largest share of CHP capacity; namely: Chemicals (30%), Petroleum Refining (17%), and Paper Products (14%). Other industrial sectors include: Commercial/Institutional (12%), Food (8%), Primary Metals (5%), Other Manufacturing (8%), and Other Industrial (6%). Combined heat and power (CHP)-sometimes referred to as cogeneration-involves the sequential process of producing and utilizing electricity and thermal energy from a single fuel. CHP is widely recognized to save energy and costs, while reducing carbon dioxide (CO2) and other pollutants. CHP is a realistic, near-term option for large energy efficiency improvements and significant CO2 reductions.

485

Industry Interactive Procurement System (IIPS)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Industry Interactive Industry Interactive Industry Interactive Industry Interactive Procurement System Procurement System (IIPS) (IIPS) Douglas Baptist, Project Manager Information Management Systems Division US Department of Energy IIPS Functions Issue synopses, solicitations and related documents via the Internet Receive and Respond to Solicitation Specific Questions Receive proposal, bid or application information electronically Provide access to proposal information to authorized personnel through a web browser Conduct negotiations or obtain clarifications Issue award documents IIPS Security Security Plan in place and approved by DOE's Chief Information Officer System security tested by DOE's Computer Incident Advisory Capability team Security measures include: - Encryption on the IIPS server

486

Eolica Industrial | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Name: Eolica Industrial Place: Sao Paulo, Sao Paulo, Brazil Zip: 01020-901 Sector: Wind energy Product: Brazil based wind turbine steel towers and...

487

Industrial Carbon Capture Project Selections  

Broader source: Energy.gov [DOE]

Industrial Carbon Capture Project SelectionsSeptember 2, 2010These projects have been selected for negotiation of awards; final award amounts may vary.

488

Deaerators in Industrial Steam Systems  

Broader source: Energy.gov [DOE]

This tip sheet on deaerators provides how-to advice for improving industrial steam systems using low-cost, proven practices and technologies.

489

Energy Savings in Industrial Buildings  

E-Print Network [OSTI]

for deployment of energy savings technologies will be explored along with recommendations for policies to promote energy efficiency in industrial buildings....

Zhou, A.; Tutterow, V.; Harris, J.

490

FAQS Reference Guide Industrial Hygiene  

Broader source: Energy.gov [DOE]

This reference guide addresses the competency statements in the November 2007 edition of DOE-STD-1138-2007, Industrial Hygiene Functional Area Qualification Standard.

491

Industry Interactive Procurement System (IIPS)  

Broader source: Energy.gov [DOE]

Presentation on DOEs Industry Interactive Procurement System (IIPS) presented at the PEM fuel cell pre-solicitation meeting held May 26, 2005 in Arlington, VA.

492

Ventower Industries | Open Energy Information  

Open Energy Info (EERE)

Place: Monroe, Michigan Zip: 48161 Sector: Wind energy Product: Michigan-based wind turbine tower manufacturer. References: Ventower Industries1 This article is a stub. You...

493

Shrenik Industries | Open Energy Information  

Open Energy Info (EERE)

Maharashtra, India Zip: 416 109 Sector: Wind energy Product: Maharashtra-based wind turbine tower manufacturer and subsidiary of the Sanjay Ghodawat Group of Industries....

494

AEO2014: Preliminary Industrial Output  

Gasoline and Diesel Fuel Update (EIA)

Elizabeth Sendich, Analyst, and Kay Smith, Team Leader Macroeconomic Analysis Team September 26, 2013 Preliminary AEO2014 Macroeconomic Industrial Results DO NOT CITE OR...

495

Industrial Facility Best Practice Scorecard  

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

BP Scorecard 20120620 ( 2012Georgia Tech Research Corporation) Superior Energy Performance CM Industrial Facility Best Practice Scorecard Rev. 9 5 December 2012 Replaces rev. 8...

496

Motech Industries | Open Energy Information  

Open Energy Info (EERE)

for Others) for this property. Partnering Center within NREL National Center for Photovoltaics Partnership Year 2008 Motech Industries is a company located in Bethlehem, Taiwan....

497

Department of Industrial Engineering Spring 2011 Armstrong World Industries, Inc  

E-Print Network [OSTI]

PENNSTATE Department of Industrial Engineering Spring 2011 Armstrong World Industries, Inc Overview The main objectives were the following: -To reduce wasted space and optimize the Armstrong Marietta plant generate? How did you analyse them? Outcomes Armstrong will save on forklift fuel costs as a result

Demirel, Melik C.

498

Design of Slurry Bubble Column Reactors: Novel Technique for Optimum Catalyst Size Selection  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Slurry Bubble Column Reactors: Novel Technique Slurry Bubble Column Reactors: Novel Technique for Optimum Catalyst Size Selection Opportunity The Department of Energy's National Energy Technology Laboratory (NETL) is seeking licensing partners interested in implementing United States Patent Number 7,619,011 entitled "Design of Slurry Bubble Column Reactors: Novel Technique for Optimum Catalyst Size Selection." Disclosed in this patent is a method to determine the optimum catalyst particle size for application in a fluidized bed reactor, such as a slurry bubble column reactor (SBCR), to convert synthesis gas into liquid fuels. The reactor can be gas-solid, liquid- solid, or gas-liquid-solid. The method considers the complete granular temperature balance based on the kinetic theory of

499

Gas holdup in a gas-liquid-fiber semi-batch bubble column.  

E-Print Network [OSTI]

??A 4-m high, 15.24-cm diameter semi-batch bubble column connected to one of three perforated plate gas distributors with open area ratios A = 0.57%, 0.99%, (more)

Su, Xuefeng

2005-01-01T23:59:59.000Z

500

Strategic Planning -College -Agricultural Sciences & Natural Resources Unit Assessment Report -Four Column  

E-Print Network [OSTI]

Strategic Planning - College - Agricultural Sciences & Natural Resources Unit Assessment Report - Four Column Texas Tech University Priorities Means of Assessment & Criteria / Tasks Results Action & Natural Resources - 2013 Priority 1_Increase Enrollment and Promote Student Success (CASNR - Outcome 1

Zhang, Yuanlin