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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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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

" 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"

5

" 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"

6

" 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"

7

" 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"

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

2003 CBECS RSE Tables  

Gasoline and Diesel Fuel Update (EIA)

detailedtables20032003rsetablesfilesplainlink.css" typetextcss relstylesheet> Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey...

10

" 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

11

" 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"

12

" 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"

13

" 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"

14

" 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"

15

" 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

16

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.

17

" 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"

18

" 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"

19

" 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"

20

RSE Pulp & Chemical, LLC (Subsidiary of Red Shield Environmental...  

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

facility in an existing pulp mill to demonstrate the production of cellulosic ethanol from lignocellulosic (wood) extract. RSE Pulp & Chemical, LLC (Subsidiary of Red...

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

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

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

","Row" "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors" ,,"Total United States" ,"RSE...

22

Re: NBP RFI: CommunicationRse quirements | Department of Energy  

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

RFI: CommunicationRse quirements Pepco Holdings, Inc. (PHI) is pleased to respond to the U.S Department of Energy request for comments regarding the communications requirements of...

23

Mathematical modeling of Fischer-Tropsch synthesis in an industrial slurry bubble column - article no. A 23  

SciTech Connect

The increase in society's need for fuels and decrease in crude oil resources are important reasons to make more interest for both academic and industry in converting gas to liquids. Fischer-Tropsch synthesis is one of the most attractive methods of Gas-to-Liquids (GTL) processes and the reactor in which, this reaction occurs, is the heart of this process. This work deals with modeling of a commercial size slurry bubble column reactor by two different models, i.e. single bubble class model (SBCM) and double bubble class model (DBCM). The reactor is assumed to work in a churn-turbulent flow regime and the reaction kinetic is a Langmuir-Hinshelwood type. Cobalt-based catalyst is used for this study as it plays an important role in preparing heavy cuts and the higher yield of the liquid products. Parameter sensitivity analysis was carried out for different conditions such as catalyst concentration, superficial gas velocity, H{sub 2} over CO ratio, and column diameter. The results of the SBCM and DBCM revealed that there is no significant difference between single and double bubble class models in terms of temperature, concentration and conversion profiles in the reactor, so the simpler SBCM with less number of model parameters can be a good and reliable model of choice for analyzing the slurry bubble column reactors.

Nasim Hooshyar; Shohreh Fatemi; Mohammad Rahmani [University of Tehran (Iran)

2009-07-01T23:59:59.000Z

24

RSE Table N6.3 and N6.4. Relative Standard Errors for Tables...  

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

Heating, Ventilation, and Air Conditioning '(Facility HVAC)' excludes" "steam and hot water." " NFNo applicable RSE rowcolumn factor." " * Estimate less than 0.5." "...

25

" 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"

26

" 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"

27

" 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"

28

" 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"

29

" 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"

30

" 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"

31

" 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"

32

" 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"

33

" 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"

34

" 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"

35

" 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"

36

Binary distillation column design using mathematica  

Science Conference Proceedings (OSTI)

The accurate design of distillation columns is a very important topic in chemical industry. In this paper, we describe a Mathematica program for the design of distillation columns for binary mixtures. For simplicity, it is assumed that the columns are ...

Akemi Gálvez; Andrés Iglesias

2003-06-01T23:59:59.000Z

37

Buildings and Energy in the 1980's  

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

Code a Industry Groups and Industry Total Residual Fuel Oil Distillate Fuel Oil b Natural Gas c LPG Coal Coke and Breeze Other d RSE Row Factors Total United States RSE Column...

38

Industry  

E-Print Network (OSTI)

from refrigeration equipment used in industrial processesfrom refrigeration equipment used in industrial processesfrom refrigeration equipment used in industrial processes

Bernstein, Lenny

2008-01-01T23:59:59.000Z

39

Buildings and Energy in the 1980's  

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

and Industry Total Net Electricity b Residual Fuel Oil Distillate Fuel Oil c Natural Gas d LPG Coal Coke and Breeze Other e RSE Row Factors Total United States RSE Column...

40

" 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"

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: 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"

42

" 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"

43

" 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"

44

" 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"

45

" 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"

46

" 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"

47

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

48

Industry  

E-Print Network (OSTI)

oxide emission reductions in industry in the EU. Europeanissues: Annual survey of industries. Central StatisticalDesiccated coconut industry of Sri- Lanka’s opportunities

Bernstein, Lenny

2008-01-01T23:59:59.000Z

49

" 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"

50

Industry  

E-Print Network (OSTI)

the paper, glass or ceramics industry) making it difficulttechnology in the ceramic manufacturing industry. industries: iron and steel, non-ferrous metals, chemicals (including fertilisers), petroleum refining, minerals (cement, lime, glass and ceramics) and

Bernstein, Lenny

2008-01-01T23:59:59.000Z

51

Industry  

E-Print Network (OSTI)

in the iron and steel industry: a global model. Energy, 30,report of the world steel industry 2005. International Irontrends in the iron and steel industry. Energy Policy, 30,

Bernstein, Lenny

2008-01-01T23:59:59.000Z

52

" 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"

53

" 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"

54

Industry  

E-Print Network (OSTI)

and power in US industry. Energy Policy, 29, pp. 1243-1254.Paris. IEA, 2004: Energy Policies of IEA Countries: Finlandand steel industry. Energy Policy, 30, pp. 827-838. Kim, Y.

Bernstein, Lenny

2008-01-01T23:59:59.000Z

55

Industry  

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

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...

56

" 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"

57

" 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"

58

" 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"

59

" 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"

60

" 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"

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

" 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"

62

" 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"," "

63

" 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"

64

" 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"

65

Industry  

NLE Websites -- All DOE Office Websites (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

66

Industry  

E-Print Network (OSTI)

milling industry: An ENERGY STAR Guide for Energy and Plantcement mak- ing - An ENERGY STAR Guide for Energy and Plantre- fineries - An ENERGY STAR Guide for Energy and Plant

Bernstein, Lenny

2008-01-01T23:59:59.000Z

67

"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"

68

Industry  

Science Conference Proceedings (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

69

RSE Table 8.2 Relative Standard Errors for Table 8.2  

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

The 'Establishments' column includes those units which reported any of the five listed" "energy-saving technologies in use anytime in 2002, plus those units where usage of those"...

70

"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

71

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

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

Table 10.1 Nonswitchable Minimum and Maximum Consumption,...  

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

50 percent." " NANot available." " Notes: To obtain the RSE percentage for any table cell, multiply the cell's" "corresponding RSE column and RSE row factors. Totals may not...

76

Distillation Column Flooding Predictor  

SciTech Connect

The Flooding Predictor™ is a patented advanced control technology proven in research at the Separations Research Program, University of Texas at Austin, to increase distillation column throughput by over 6%, while also increasing energy efficiency by 10%. The research was conducted under a U. S. Department of Energy Cooperative Agreement awarded to George Dzyacky of 2ndpoint, LLC. The Flooding Predictor™ works by detecting the incipient flood point and controlling the column closer to its actual hydraulic limit than historical practices have allowed. Further, the technology uses existing column instrumentation, meaning no additional refining infrastructure is required. Refiners often push distillation columns to maximize throughput, improve separation, or simply to achieve day-to-day optimization. Attempting to achieve such operating objectives is a tricky undertaking that can result in flooding. Operators and advanced control strategies alike rely on the conventional use of delta-pressure instrumentation to approximate the column’s approach to flood. But column delta-pressure is more an inference of the column’s approach to flood than it is an actual measurement of it. As a consequence, delta pressure limits are established conservatively in order to operate in a regime where the column is never expected to flood. As a result, there is much “left on the table” when operating in such a regime, i.e. the capacity difference between controlling the column to an upper delta-pressure limit and controlling it to the actual hydraulic limit. The Flooding Predictor™, an innovative pattern recognition technology, controls columns at their actual hydraulic limit, which research shows leads to a throughput increase of over 6%. Controlling closer to the hydraulic limit also permits operation in a sweet spot of increased energy-efficiency. In this region of increased column loading, the Flooding Predictor is able to exploit the benefits of higher liquid/vapor traffic that produce increased contact area and lead to substantial increases in separation efficiency – which translates to a 10% increase in energy efficiency on a BTU/bbl basis. The Flooding Predictor™ operates on the principle that between five to sixty minutes in advance of a flooding event, certain column variables experience an oscillation, a pre-flood pattern. The pattern recognition system of the Flooding Predictor™ utilizes the mathematical first derivative of certain column variables to identify the column’s pre-flood pattern(s). This pattern is a very brief, highly repeatable, simultaneous movement among the derivative values of certain column variables. While all column variables experience negligible random noise generated from the natural frequency of the process, subtle pre-flood patterns are revealed among sub-sets of the derivative values of column variables as the column approaches its hydraulic limit. The sub-set of column variables that comprise the pre-flood pattern is identified empirically through in a two-step process. First, 2ndpoint’s proprietary off-line analysis tool is used to mine historical data for pre-flood patterns. Second, the column is flood-tested to fine-tune the pattern recognition for commissioning. Then the Flooding Predictor™ is implemented as closed-loop advanced control strategy on the plant’s distributed control system (DCS), thus automating control of the column at its hydraulic limit.

George E. Dzyacky

2010-11-23T23:59:59.000Z

77

Simplified distillation column controls  

SciTech Connect

A simple, energy efficient method of controlling single or double distillation columns for the production of ethyl alcohol is described. The control system is based on a material balance scheme centered around a thermostat actuated control valve to regulate reflux rate and product purity. Column bottom's levels are automatically regulated by vented suction lines on the pump inlets. Methods of minimizing control input variations are used including column insulation, stillage-to-beer heat exchanger, and a steam pressure regulator.

Badger, P.; Pile, R.; Lightsey, G.

1984-01-01T23:59:59.000Z

78

Bridge Column Inspection 1  

Science Conference Proceedings (OSTI)

... Concept of an Underwater Bridge Column Inspector RoboCrane. The platform is ballast controlled with a rotary joint and attached sonar sensor. ...

2011-08-25T23:59:59.000Z

79

" 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"

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

PULSE COLUMN DESIGN  

SciTech Connect

A stagewise approach was used in a theoretical analysis of pulse columns. In the analysis the column was arbitrarily divided into discrete stages comprising that part of the column between two adjacent perforated plates. The operation of the pulse column was described mathematically using material balance equations, and a design method was derived which used two stage lines and two operating lines, one set for the pulse generator upstroke and one set for the downstroke. Assuming equilibrium contact, the effect of recycle in a pulse column was shown to cause a large decrease in the separation obtained as the pulse frequency was increased. Hold-up studies were made using isoamyl alcohol- water, and methyl isobutyl ketone water. The hold-up per cycle of the dispersed phase for both systems was found to be equal to the interstage flow per cycle of the dispersed phase. Hold-up behavior at high frequencies was different for the two systems. Extraction runs were also made using the system methyl isobutyl ketone - acetic acid-water. The effects of recycle were found to result in a drop in column separation efficiency with increased pulse frequency. It was found to be theoretically possible for a column to operate in a pinched-in region even though this is not apparert from an examination of the superficial flow ratio of the two streams being fed to the column Techniques for sampling interstage flow streams in a colurm operating in the mixer-settler region are described. (J.R.D.)

Burkhart, L.E.; Fahien, R.W.

1958-11-01T23:59:59.000Z

82

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

83

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"

84

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

85

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

86

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)"

87

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

88

" 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"

89

" 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"

90

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

91

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

92

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

93

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

94

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

95

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

96

President’s s Column  

E-Print Network (OSTI)

Please allow me to begin my final president's column with a bit of venting. As with any industry organization such as SIPES, the more one becomes involved the more one becomes cognizant of public perception and government involvement as it affects the members of the organization. It can be frustrating to be at the receiving end of constant degradation and unappreciation for the professional sacrifices and financial risks one takes for the betterment of mankind. Explain to me why the independent oil and gas companies are consistently herded into the same corral as "Big Oil. " Why mom-and–pop oil and gas companies are subject to the same ridicule Alison and David Eyler with First Lady Laura Bush at the opening of the Bush

David A. Eyler

2006-01-01T23:59:59.000Z

97

" 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"

98

"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

99

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

100

Single-Column Modeling  

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

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

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

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

102

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

103

"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"

104

" 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)"

105

"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

106

"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"

107

"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" ,

108

"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)"

109

Two-Column Aerosol Project  

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

Climate Research Facility is conducting the Two-Column Aerosol Project (TCAP) at Cape Cod National Seashore. From July 2012 to June 2013, the ARM Mobile Facility-a portable...

110

Self-regenerating column chromatography  

DOE Patents (OSTI)

The present invention provides a process for treating both cations and anions by using a self-regenerating, multi-ionic exchange resin column system which requires no separate regeneration steps. The process involves alternation ion-exchange chromatography for cations and anions in a multi-ionic exchange column packed with a mixture of cation and anion exchange resins. The multi-ionic mixed-charge resin column works as a multifunction column, capable of independently processing either cationic or anionic exchange, or simultaneously processing both cationic and anionic exchanges. The major advantage offered by the alternating multifunction ion exchange process is the self-regeneration of the resins. Applications are to separation of nitrogen and sulfur isotopes.

Park, Woo K.

1994-12-31T23:59:59.000Z

111

TWO-COLUMN FORMATTING GUIDE  

Science Conference Proceedings (OSTI)

This is a guide designed to cover the details of paper preparation to ensure uniformity and continuity for two-column ... printed in black and white. It is best to:.

112

Benzene rectifying column performance optimization  

Science Conference Proceedings (OSTI)

Benzene rectifying column control at the actual petroleum refinery is studied. Certain approaches to increase the performance of precise rectification of benzene and toluene are suggested. An algorithm of evaluating the optimal regulation parameters ...

D. A. Smirnova; V. I. Fedorov; N. V. Lisitsyn

2011-01-01T23:59:59.000Z

113

Optimization Online - Column Generation for Extended Formulations  

E-Print Network (OSTI)

Jul 8, 2011 ... We compare numerically a direct handling of the extended formulation, a standard column generation approach, and the ``column-and-row ...

114

"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

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 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

118

"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

119

"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

120

"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

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

Installation of the Pulse-Plate Column Pilot Plant  

Science Conference Proceedings (OSTI)

There are three primary types of solvent extraction equipment utilized in the nuclear industry for reprocessing of used nuclear fuel; pulse columns, mixer-settlers, and centrifugal contactors. Considerable research and development has been performed at the INL and throughout the DOE complex on the application of centrifugal contactors for used fuel reprocessing and these contactors offer many significant advantages. However, pulse columns have been used extensively in the past in throughout the world for aqueous separations processes and remain the preferred equipment by many commercial entities. Therefore, a pulse-plate column pilot plant has been assembled as part of the Advanced Fuel Cycle Initiative to support experimentation and demonstration of pulse column operation. This will allow the training of personnel in the operation of pulse columns. Also, this capability will provide the equipment to allow for research to be conducted in the operation of pulse columns with advanced solvents and processes developed as part of the fuel cycle research and development being performed in the AFCI program.

Nick R. Mann

2009-07-01T23:59:59.000Z

122

S:\\VM3\\RX97\\TBL_LIST.WPD [PFP#201331587  

Annual Energy Outlook 2012 (EIA)

b. Air Conditioning by Four Most Populated States, Percent of U.S. Households, 1997 Air Conditioning Characteristics RSE Column Factor: Total Four Most Populated States RSE Row...

123

Table HC3-1a. Space Heating by Climate Zone, Million U.S ...  

U.S. Energy Information Administration (EIA)

Table HC3-1a. Space Heating by Climate Zone, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Climate Zone1 RSE

124

char_household2001.pdf  

Annual Energy Outlook 2012 (EIA)

9a. Household Characteristics by Northeast Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row...

125

"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)"

126

"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

127

"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

128

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

129

table11.6_02.xls  

Annual Energy Outlook 2012 (EIA)

than 50 percent. NANot available. Notes: To obtain the RSE percentage for any table cell, multiply the cell's corresponding RSE column and RSE row factors. Totals may not equal...

130

table7.1_02.xls  

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

is not applicable. Notes: To obtain the RSE percentage for any table cell, multiply the cell corresponding RSE column and RSE row factors. Totals may not equal su components...

131

ENGINEERING DEVELOPMENT OF SLURRY BUBBLE COLUMN REACTOR (SBCR)TECHNOLOGY  

SciTech Connect

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 0reactor 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.

Bernard A. Toseland, Ph.D

2000-06-01T23:59:59.000Z

132

ENGINEERING DEVELOPMENT OF SLURRY BUBBLE COLUMN REACTOR (SBCR) TECHNOLOGY  

SciTech Connect

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.

Bernard A. Toseland, Ph.D.

1999-01-01T23:59:59.000Z

133

" 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)"

134

" 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

135

" 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"

136

" 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)"

137

" 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

138

Method for packed column separations and purifications  

DOE Patents (OSTI)

The invention encompasses a method of packing and unpacking a column chamber. A mixture of a fluid and a matrix material are introduced through a column chamber inlet so that the matrix material is packed within a column chamber to form a packed column. The column chamber having the column chamber inlet or first port for receiving the mixture further has an outlet port and an actuator port. The outlet port is partially closed for capturing the matrix material and permitting the fluid to flow therepast by rotating relative one to the other of a rod placed in the actuator port. Further rotation relative one to the other of the rod and the column chamber opens the outlet and permits the matrix material and the fluid to flow therethrough thereby unpacking the matrix material from the column chamber.

Holman, David A. (Richland, WA); Bruckner-Lea, Cynthia J. (Richland, WA); Brockman, Fred J. (Kennewick, WA); Chandler, Darrell P. (Richland, WA)

2006-08-15T23:59:59.000Z

139

"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

140

Modeling Tropical Precipitation in a Single Column  

Science Conference Proceedings (OSTI)

A modified formulation of the traditional single column model for representing a limited area near the equator is proposed. This formulation can also be considered a two-column model in the limit as the area represented by one of the columns ...

Adam H. Sobel; Christopher S. Bretherton

2000-12-01T23:59:59.000Z

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.


141

Poultry Industry: Industry Brief  

Science Conference Proceedings (OSTI)

This Electric Power Research Institute (EPRI) Industry Brief provides an overview of the U.S. poultry industry and ways in which electric-powered processes and technologies can be used in poultry and egg production and processing. The poultry industry, which consists of poultry production for meat as well as egg production and processing, is one of the fastest growing segments of the U.S. food manufacturing industry. It is also an energy-intensive industry. In fact, a 2010 report by the USDA illustrates ...

2011-03-30T23:59:59.000Z

142

Property:Water Column Location | Open Energy Information  

Open Energy Info (EERE)

Column Location Jump to: navigation, search Property Name Water Column Location Property Type Text Pages using the property "Water Column Location" Showing 1 page using this...

143

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

144

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}~"

145

"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

146

"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

147

"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

148

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"

149

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

150

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

151

geo column legal.ai  

NLE Websites -- All DOE Office Websites (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

" 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)"

153

" 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

154

" 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)"

155

" 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

156

" 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

157

Dairy Industry: Industry Brief  

Science Conference Proceedings (OSTI)

This Electric Power Research Institute (EPRI) Industry Brief provides an overview of the U.S. dairy industry and ways in which electric-powered processes and technologies can be used in milk production and processing. Because of the different processes involved, the characteristics of energy consumption at milk production and processing facilities vary by facility. Most energy used in milk production is in the form of diesel fuel, followed by electricity and then by petroleum products such as gasoline an...

2011-03-30T23:59:59.000Z

158

Engineering development of slurry bubble column reactor (SBCR) technology. Quarterly report, January 1--March 31, 1996  

DOE Green Energy (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. The main part of this report describes tracer studies of slurry bubble column hydrodynamics during methanol synthesis.

Toseland, B.A.; Tischer, R.E.

1997-12-31T23:59:59.000Z

159

Dynamic Stabilization of Atmospheric Single Column Models  

Science Conference Proceedings (OSTI)

Single column models (SCMs) provide an economical framework for assessing the sensitivity of atmospheric temperature and humidity to natural and imposed perturbations, and also for developing improved representations of diabatic processes in ...

John W. Bergman; Prashant D. Sardeshmukh

2004-03-01T23:59:59.000Z

160

T15a_asc - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Q = Data withheld either because the Relative Standard Error (RSE) ... multiply the corresponding column and row factors. · Because of rounding, ...

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

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

162

Industrial battery stack  

SciTech Connect

A novel industrial battery stack is disclosed, wherein positive plates which have been longitudinally wrapped with a perforate or semi-perforate material are accurately aligned with respect to the negative plates and separators in the stack during the stacking operation. The novel spacing members of the present invention have a generally U-shaped cross section for engaging through the wrapping a portion of the positive plate adjacent to the longitudinal edges of that plate. Projections protruding substantially from the base of the ''U'' provide the proper distance between the edge of the wrapped plate and an adjacent longitudinal surface. During the stacking and burning operation, this longitudinal surface comprises the back wall of a novel industrial battery plate holder. Following the burning of the battery stack and its subsequent assembly into an appropriate industrial battery case, the spacing member or members act to protect the positive battery plates and retain them in their proper alignment during the operation of the battery. Applicants have also provided a novel apparatus and method for stacking, aligning and burning industrial battery stacks which comprises a battery stack holder having several upstanding walls which define a stacking column having a coplanar terminus. An adjustably locatable partition within said stacking column may be disposed at any of a plurality of positions parallel with respect to the coplanar terminus so that the battery stack holder may be adjusted for any of a variety of given sizes of plates and separators. The battery plates and separators may then be stacked into the battery stack holder so that only the plate lugs extrude beyond the coplanar terminus. A dam is insertable along the top of the battery plates and across the top of the upstanding side walls of the battery stack holder to facilitate the rapid efficient burning of the industrial battery stack.

Digiacomo, H.L.; Sacco, J.A.

1980-08-19T23:59:59.000Z

163

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

E-Print Network (OSTI)

Nov 14, 2010 ... Simultaneous Column-and-Row Generation for Large-Scale Linear Programs with Column-Dependent- ... Entry Last Modified: 05/17/2012.

164

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"

165

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

166

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)"

167

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

168

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)"

169

Integrated Thermal and Hydraulic Analysis of Distillation Columns  

E-Print Network (OSTI)

This paper outlines the implementation of column thermal and hydraulic analysis in a simulation environment. The methodology is described using a separations example. Column Thermal Analysis has been discussed in the literature extensively. The paper outlines how bringing together the column thermal and hydraulics analysis provides significant additional insights to help screen the options for distillation column revamps.

Samant, K.; Sinclair, I.; Keady, G.

2002-04-01T23:59:59.000Z

170

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

Gasoline and Diesel Fuel Update (EIA)

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

171

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

Gasoline and Diesel Fuel Update (EIA)

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

172

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

NLE Websites -- All DOE Office Websites (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

173

Industrial Applications  

Science Conference Proceedings (OSTI)

Table 2   Frequently used rubber linings in other industries...Application Lining Power industry Scrubber towers Blended chlorobutyl Limestone slurry tanks Blended chlorobutyl Slurry piping Blended chlorobutyl 60 Shore A hardness natural rubber Seawater cooling water

174

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

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 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

177

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

178

Thermal Analysis of LANL Ion Exchange Column  

Science Conference Proceedings (OSTI)

This document reports results from an ion exchange column heat transfer analysis requested by Los Alamos National Laboratory (LANL). 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.

Laurinat, J.E.

1999-06-16T23:59:59.000Z

179

Industries Affected  

Science Conference Proceedings (OSTI)

Table 2   Industries affected by microbiologically influenced corrosion...generation: nuclear, hydro, fossil fuel,

180

" 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)"

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

Experimental techniques for hydrodynamic characterization of multiphase flows in slurry-phase bubble-column reactors  

DOE Green Energy (OSTI)

Slurry-phase bubble-column Fischer-Tropsch (FT) reactors are recognized as one of the more promising technologies for converting synthesis gas from coal into liquid fuel products (indirect liquefaction). However, hydrodynamic effects must be considered when attempting to scale these reactors to sizes of industrial interest. The objective of this program is to facilitate characterization of reactor hydrodynamics by developing and applying noninvasive tomographic diagnostics capable of measuring gas holdup spatial distribution in these reactors.

Torczynski, J.R.; O`Hern, T.J.; Adkins, D.R.; Shollenberger, K.A.; Mondy, L.A.; Jackson, N.B.

1994-09-01T23:59:59.000Z

182

Experimental characterization of slurry bubble-column reactor hydrodynamics  

DOE Green Energy (OSTI)

Sandia`s program to develop, implement, and apply diagnostics for hydrodynamic characterization of slurry bubble column reactors (SBCRs) at industrially relevant conditions is discussed. Gas liquid flow experiments are performed on an industrial scale. Gamma densitometry tomography (GDT) is applied to measure radial variations in gas holdup at one axial location. Differential pressure (DP) measurements are used to calculate volume averaged gas holdups along the axis of the vessel. The holdups obtained from DP show negligible axial variation for water but significant variations for oil, suggesting that the air water flow is fully developed (minimal flow variations in the axial direction) but that the air oil flow is still developing at the GDT measurement location. The GDT and DP gas holdup results are in good agreement for the air water flow but not for the air oil flow. Strong flow variations in the axial direction may be impacting the accuracy of one or both of these techniques. DP measurements are also acquired at high sampling frequencies (250 Hz) and are interpreted using statistical analyses to determine the physical mechanism producing each frequency component in the flow. This approach did not yield the information needed to determine the flow regime in these experiments. As a first step toward three phase material distribution measurements, electrical impedance tomography (EIT) and GDT are applied to a liquid solid flow to measure solids holdup. Good agreement is observed between both techniques and known values.

Shollenberger, K.A.; Torczynski, J.R.; Jackson, N.B.; O`Hern, T.J.

1997-09-01T23:59:59.000Z

183

BNL | Two-Column Aerosol Program (TCAP)  

NLE Websites -- All DOE Office Websites (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

184

Industry @ ALS  

NLE Websites -- All DOE Office Websites (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

185

Query execution in column-oriented database systems  

E-Print Network (OSTI)

There are two obvious ways to map a two-dimension relational database table onto a one-dimensional storage interface: store the table row-by-row, or store the table column-by-column. Historically, database system implementations ...

Abadi, Daniel J

2008-01-01T23:59:59.000Z

186

Cross flow cyclonic flotation column for coal and minerals beneficiation  

SciTech Connect

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

Cross flow flotation column for coal and minerals beneficiation  

DOE Patents (OSTI)

An apparatus and process are disclosed 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 hydrophilic tailings.

Lai, Ralph W.; Patton, Robert A.

1997-12-01T23:59:59.000Z

188

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

189

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

190

COMPUTATIONAL AND EXPERIMENTAL MODELING OF SLURRY BUBBLE COLUMN REACTORS  

Science Conference Proceedings (OSTI)

The objective of this study was to develop a predictive experimentally verified computational fluid dynamics (CFD) model for gas-liquid-solid flow. A three dimensional transient computer code for the coupled Navier-Stokes equations for each phase was developed and is appended in this report. The principal input into the model is the viscosity of the particulate phase which was determined from a measurement of the random kinetic energy of the 800 micron glass beads and a Brookfield viscometer. The details are presented in the attached paper titled ''CFD Simulation of Flow and Turbulence in a Slurry Bubble Column''. This phase of the work is in press in a referred journal (AIChE Journal, 2002) and was presented at the Fourth International Conference on Multiphase Flow (ICMF 2001) in New Orleans, May 27-June 1, 2001 (Paper No. 909). The computed time averaged particle velocities and concentrations agree with Particle Image Velocimetry (PIV) measurements of velocities and concentrations, obtained using a combination of gamma-ray and X-ray densitometers, in a slurry bubble column, operated in the bubbly-coalesced fluidization regime with continuous flow of water. Both the experiment and the simulation show a down-flow of particles in the center of the column and up-flow near the walls and nearly uniform particle concentration. Normal and shear Reynolds stresses were constructed from the computed instantaneous particle velocities. The PIV measurement and the simulation produced instantaneous particle velocities. The PIV measurement and the simulation produced similar nearly flat horizontal profiles of turbulent kinetic energy of particles. To better understand turbulence we studied fluidization in a liquid-solid bed. This work was also presented at the Fourth International Conference on Multiphase Flow (ICMF 2001, Paper No. 910). To understand turbulence in risers, measurements were done in the IIT riser with 530 micron glass beads using a PIV technique. This report summarizes the measurements and simulations completed so far. This work will continue under the sponsorship of the National Science Foundation and Dow Corning Corporation. This phase of the work is part of the DOE/Industry/University Multiphase Fluid Dynamics Research Consortium. Optimization of the LaPorte pilot plant reactor was attempted by rearranging the heat exchangers. The paper accepted for presentation at the Sixth World Congress of Chemical Engineering, Melbourne, Australia, September 23-27, 2001 is a part of this report.

Paul C.K. Lam; Isaac K. Gamwo; Dimitri Gidaspow

2002-05-01T23:59:59.000Z

191

Table CE1-10c. Total Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

Table CE1-10c. Total Energy Consumption in U.S. Households by Midwest Census Region, 2001 RSE Column Factor: Total U.S. Midwest Census Region RSE Row

192

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

Table CE4-1e. Water-Heating Energy Expenditures in U.S. Households by Climate Zone, 1997 RSE Column Factor: Total Climate Zone1 RSE Row Factors Fewer than 2,000 CDD ...

193

ac_household2001.pdf  

Annual Energy Outlook 2012 (EIA)

2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

194

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

Table CE5-1e. Appliances1 Energy Expenditures in U.S. Households by Climate Zone, 1997 RSE Column Factor: Total Climate Zone2 RSE Row Factors Fewer than 2,000 CDD and --

195

Table CE1-1c. Total Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

Table CE1-1c. Total Energy Consumption in U.S. Households by Climate Zone, 2001 RSE Column Factor: Total Climate Zone1 RSE Row Factors Fewer than 2,000 CDD and --

196

Table CE3-1c. Electric Air-Conditioning Energy Consumption in U.S ...  

U.S. Energy Information Administration (EIA)

Table CE3-1c. Electric Air-Conditioning Energy Consumption in U.S. Households by Climate Zone, 2001 RSE Column Factor: Total Climate Zone1 RSE Row

197

S:\\VM3\\RX97\\TBL_LIST.WPD [PFP#201331587  

Gasoline and Diesel Fuel Update (EIA)

1997 Home Office Equipment RSE Column Factor: Total Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.1 1.5 1.3 Total ......

198

Table CE5-2c. Appliances Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

Table CE5-2c. Appliances1 Energy Consumption in U.S. Households by Year of Construction, 2001 RSE Column Factor: Total Year of Construction RSE Row

199

Table 4. LPG Consumption and Expeditures in U.S. Households by End ...  

U.S. Energy Information Administration (EIA)

Table 4. LPG Consumption and Expeditures in U.S. Households by End Uses and Census Region, 2001 RSE Column Factor: Total U.S. Census Region RSE Row

200

Control of binary distillation column using fuzzy PI controllers  

Science Conference Proceedings (OSTI)

In this paper the automatic control of a binary distillation column is described. This control is done with fuzzy logic controllers. After a short explanation of the function and dynamic of a binary distillation column, it's operating and control strategies ... Keywords: binary distillation column, fuzzy inference system, simulation

Shahram Javadi; Jabber Hosseini

2009-08-01T23:59:59.000Z

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.


201

Application for testing control configurations of binary distillation columns  

Science Conference Proceedings (OSTI)

The paper addresses the problem of testing various control configurations for binary distillation columns. Analyzing from plantwide control point of view the place of distillation column within the plant, the result will be the best control configuration. ... Keywords: composition control, distillation columns, dynamic simulations, plantwide control

Sanda Mihalache; Marian Popescu

2007-08-01T23:59:59.000Z

202

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

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

l","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Fact...

203

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

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

and",,"Coke and"," ","of Energy Sources","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","...

204

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

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

sidual","Distillate",,"LPG and",,"Coke and",,"of Energy Sources" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural...

205

Hydrogen isotope exchange in metal hydride columns  

DOE Green Energy (OSTI)

Several metal hydrides were shown to act as chromatographic media for hydrogen isotopes. The procedure was to equilibrate a column of hydride with flowing hydrogen, inject a small quantity of tritium tracer, and observe its elution behavior. Characteristic retention times were found. From these and the extent of widening of the tritium band, the heights equivalent to a theoretical plate could be calculated. Values of around 1 cm were obtained. The following are the metals whose hydrides were studied, together with the temperature ranges in which chromatographic behavior was observed: vanadium, 0 to 70/sup 0/C; zirconium, 500 to 600/sup 0/C; LaNi/sub 5/, -78 to +30/sup 0/C; Mg/sub 2/Ni, 300 to 375/sup 0/C; palladium, 0 to 70/sup 0/C. A dual-temperature isotope separation process based on hydride chromatography was demonstrated. In this, a column was caused to cycle between two temperatures while being supplied with a constant stream of tritium-traced hydrogen. Each half-cycle was continued until ''breakthrough,'' i.e., until the tritium concentration in the effluent was the same as that in the feed. Up to that point, the effluent was enriched or depleted in tritium, by up to 20%.

Wiswall, R; Reilly, J; Bloch, F; Wirsing, E

1977-11-21T23:59:59.000Z

206

Cumulative mass approach for column testing  

Science Conference Proceedings (OSTI)

A cumulative mass approach for laboratory column testing using an analytical solution for miscible transport through soil is presented. The cumulative mass approach differs from the more traditional approach for column testing in that the analysis of the measured data is in terms of mass of solute instead of solute concentration. The potential advantages of the cumulative mass approach are: (1) The influence of increment in effluent sample volume on the measured concentrations is removed from consideration; (2) the effluent sampling procedure is less labor-intensive, and therefore potentially more cost-effective; and (3) the retardation factor and effective porosity can be evaluated directly from plots of the test results. A comparison of analyses of measured data based on the cumulative mass approach with the more traditional concentration-based approach indicates slight differences (less than 3%) in the regressed values of the dispersion coefficient and retardation factor. These differences are attributed to greater scatter in the data for the more traditional approach and to slight errors involved in the traditional approach due to plotting the average, incremental concentrations at the pore volumes of flow corresponding to the middle of the sampling interval.

Shackelford, C.D. [Colorado State Univ., Fort Collins, CO (United States)] [Colorado State Univ., Fort Collins, CO (United States)

1995-10-01T23:59:59.000Z

207

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

DOE Green Energy (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

208

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

209

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

210

Development of dynamic models of reactive distillation columns for simulation and determination of control  

E-Print Network (OSTI)

Dynamic models of a reactive distillation column have been developed and implemented in this work. A model describing the steady state behavior of the system has been built in a first step. The results from this steady state model have been compared to data provided from an industrial collaborator and the reconciled model formed the basis for the development of a dynamic model. Four controlled and four manipulated variables have been determined in a subsequent step and step tests for the manipulated variables were simulated. The data generated by the step responses was used for fitting transfer functions between the manipulated and the controlled variables. RGA analysis was performed to find the optimal pairing for controller design. Feedback controllers of PID type were designed between the paired variables found from RGA and the controllers were implemented on the column model. Both servo and regulatory problems have been considered and tested.

Chakrabarty, Arnab

2004-12-01T23:59:59.000Z

211

MANUAL FOR USING LATEX TEMPLATE: TMS TWO-COLUMN ...  

Science Conference Proceedings (OSTI)

Title of Publication Edited by. TMS (The Minerals, Metals & Materials Society), Year. MANUAL FOR USING LATEX TEMPLATE: TMS TWO-COLUMN ...

212

manual for using latex template: tms two-column proceedings ...  

Science Conference Proceedings (OSTI)

MANUAL FOR USING LATEX TEMPLATE: TMS TWO-COLUMN PROCEEDINGS PUBLICATIONS. TMS. 1. , Jane Doe. 2. , John Doe. 2. 1. TMS (The Minerals ...

213

manual for using latex template: tms one-column proceedings ...  

Science Conference Proceedings (OSTI)

TMS ONE-COLUMN PROCEEDINGS PUBLICATIONS. TMS. 1. , Jane Doe. 2. , John Doe. 2. 1. TMS (The Minerals Metals & Materials Society); 184 Thorn Hill ...

214

Predicting the products of crude oil distillation columns.  

E-Print Network (OSTI)

??Crude oil distillation systems, consisting of crude oil distillation columns and the associated heat recovery systems, are highly energy intensive. Heat-integrated design of crude oil… (more)

Liu, Jing

2012-01-01T23:59:59.000Z

215

Model predictive control of a Kaibel distillation column.  

E-Print Network (OSTI)

?? Model predictive control (MPC) of a Kaibel distillation column is the main focus of this thesis. A model description together with a model extension… (more)

Kvernland, Martin Krister

2009-01-01T23:59:59.000Z

216

Engineering Development of Slurry Bubble Column Reactor (SBCR) Technology: Final quarterly technical progress no. 2, 1 July - 30 September 1995  

DOE Green Energy (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.

Toseland, B.A.; Tischer, R.E.

1997-12-31T23:59:59.000Z

217

Gas insulated substation equipment for industrial applications  

SciTech Connect

Until recently the only available method for construction of high voltage systems was to use exposed air insulated equipment supported on porcelain columns. The past decade has witnessed the introduction and wide acceptance of compressed gas insulated equipment as a viable alternative to the conventional substation system. The characteristics of gas insulated substations (GIS) and their application for industrial use at service voltages at 69 kV and above are discussed.

Kenedy, J.J.

1984-11-01T23:59:59.000Z

218

Associations and Industry - TMS  

Science Conference Proceedings (OSTI)

... Associations and Industry, Research Programs, ==== Basic Metallurgy ==== ... FORUMS > ASSOCIATIONS AND INDUSTRY, Replies, Views, Originator, Last ...

219

" 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

220

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

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

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

222

Industrial alliances  

Science Conference Proceedings (OSTI)

The United States is emerging from the Cold War era into an exciting, but challenging future. Improving the economic competitiveness of our Nation is essential both for improving the quality of life in the United States and maintaining a strong national security. The research and technical skills used to maintain a leading edge in defense and energy now should be used to help meet the challenge of maintaining, regaining, and establishing US leadership in industrial technologies. Companies recognize that success in the world marketplace depends on products that are at the leading edge of technology, with competitive cost, quality, and performance. Los Alamos National Laboratory and its Industrial Partnership Center (IPC) has the strategic goal to make a strong contribution to the nation`s economic competitiveness by leveraging the government`s investment at the Laboratory: personnel, infrastructure, and technological expertise.

Adams, K.V.

1993-09-13T23:59:59.000Z

223

HEAT TRANSFER ANALYSIS FOR ION-EXCHANGE COLUMN SYSTEM  

SciTech Connect

Models have been developed to simulate the thermal characteristics of Crystalline Silicotitanate (CST) ion exchange media fully loaded with radioactive cesium in a column configuration and distributed within a waste storage tank. This work was conducted to support the Small Column Ion Exchange (SCIX) program which is focused on processing dissolved, high-sodium salt waste for the removal of specific radionuclides (including Cs-137, Sr-90, and actinides) within a High Level Waste (HLW) storage tank at the Savannah River Site. The SCIX design includes CST columns inserted and supported in the tank top risers for cesium removal. Temperature distributions and maximum temperatures across the column were calculated with a focus on process upset conditions. A two-dimensional computational modeling approach for the in-column ion-exchange domain was taken to include conservative, bounding estimates for key parameters such that the results would provide the maximum centerline temperatures achievable under the design configurations using a feed composition known to promote high cesium loading on CST. The current full-scale design for the CST column includes one central cooling pipe and four outer cooling tubes. Most calculations assumed that the fluid within the column was stagnant (i.e. no buoyancy-induced flow) for a conservative estimate. A primary objective of these calculations was to estimate temperature distributions across packed CST beds immersed in waste supernate or filled with dry air under various accident scenarios. Accident scenarios evaluated included loss of salt solution flow through the bed, inadvertent column drainage, and loss of active cooling in the column. The modeling results demonstrate that the baseline design using one central and four outer cooling tubes provides a highly efficient cooling mechanism for reducing the maximum column temperature.

Lee, S.; King, W.

2011-05-23T23:59:59.000Z

224

Novel techniques for slurry bubble column hydrodynamics  

Science Conference Proceedings (OSTI)

The objective of this cooperative research effort between Washington University, Ohio State University and Exxon Research Engineering Company was to improve the knowledge base for scale-up and operation of slurry bubble column reactors for syngas conversion and other coal conversion processes by increased reliance on experimentally verified hydrodynamic models. During the first year (July 1, 1995--June 30, 1996) of this three year program novel experimental tools (computer aided radioactive particle tracking (CARPT), particle image velocimetry (PIV), heat probe, optical fiber probe and gamma ray tomography) were developed and tuned for measurement of pertinent hydrodynamic quantities, such as velocity field, holdup distribution, heat transfer and bubble size. The accomplishments were delineated in the First Technical Annual Report. The second year (July, 1996--June 30, 1997) was spent on further development and tuning of the novel experimental tools (e.g., development of Monte Carlo calibration for CARPT, optical probe development), building up the hydrodynamic data base using these tools and comparison of the two techniques (PIV and CARPT) for determination of liquid velocities. A phenomenological model for gas and liquid backmixing was also developed. All accomplishments were summarized in the Second Annual Technical Report. During the third and final year of the program (July 1, 1997--June 30, 1998) and during the nine months no cost extension, the high pressure facility was completed and a set of data was taken at high pressure conditions. Both PIV, CT and CARPT were used. More fundamental hydrodynamic modeling was also undertaken and model predictions were compared to data. The accomplishments for this period are summarized in this report.

Dudukovic, M.P.

1999-05-14T23:59:59.000Z

225

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 . .

226

Hydrodynamic characterization of slurry bubble-column reactors for Fischer-Tropsch synthesis  

DOE Green Energy (OSTI)

In the Fischer-Tropsch approach to indirect liquefaction, slurry bubble-column reactors (SBCRs) are used to convert coal syngas into the desired product. Sandia`s program to develop, implement, and apply diagnostics for hydrodynamic characterization of SBCRs at industrially relevant conditions is discussed.Gas-liquid flow experiments are performed in an industrial-scale stainless steel vessel. Gamma-densitometry tomography (GDT) is applied to make spatially resolved gas holdup measurements. Both water and Drakeol 10 with air sparging are examined at ambient and elevated pressures. Gas holdup increases with gas superficial velocity and pressure, and the GDT values are in good agreement with values from differential pressure (DP) measurements.

Jackson, N.B.; Torczynski, J.R.; Shollenberger, K.A.; O`Hern, T.J.; Adkins, D.R.

1996-08-01T23:59:59.000Z

227

Transforming the Freight Industry  

E-Print Network (OSTI)

Transforming the Freight Industry From Regulation to Icommon-carrier freight industry was Competition to backwardjourneys. When the freight industry was deregulated, it was

Regan, Amelia

2002-01-01T23:59:59.000Z

228

Demographics and industry returns  

E-Print Network (OSTI)

Demographics and Industry Returns By Stefano DellaVigna andand returns across industries. Cohort size fluc- tuationspredict profitability by industry. Moreover, forecast demand

Pollet, Joshua A.; DellaVigna, Stefano

2007-01-01T23:59:59.000Z

229

Industry Perspective  

NLE Websites -- All DOE Office Websites (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

230

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

NLE Websites -- All DOE Office Websites (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

231

Assessment of Solution Uncertainties in Single-Column Modeling Frameworks  

Science Conference Proceedings (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 ...

James J. Hack; John A. Pedretti

2000-01-01T23:59:59.000Z

232

Compression and query execution within column oriented databases  

E-Print Network (OSTI)

Compression is a known technique used by many database management systems ("DBMS") to increase performance[4, 5, 14]. However, not much research has been done in how compression can be used within column oriented architectures. ...

Ferreira, Miguel C. (Miguel Cacela Rosa Lopes Ferreira)

2005-01-01T23:59:59.000Z

233

Dynamic Radiative–Convective Equilibria Using GCM Column Physics  

Science Conference Proceedings (OSTI)

The behavior of a GCM column physics package in a nonrotating, doubly periodic, homogeneous setting with prescribed SSTs is examined. This radiative–convective framework is proposed as a useful tool for studying some of the interactions between ...

Isaac M. Held; Ming Zhao; Bruce Wyman

2007-01-01T23:59:59.000Z

234

Column generation based heuristic for a helicopter routing problem  

Science Conference Proceedings (OSTI)

This work presents a column generation based heuristic algorithm for the problem of planning the flights of helicopters to attend transport requests among airports in the continent and offshore platforms on the Campos basin for the Brazilian State Oil ...

Lorenza Moreno; Marcus Poggi de Aragão; Eduardo Uchoa

2006-05-01T23:59:59.000Z

235

Column Water Vapor Content in Clear and Cloudy Skies  

Science Conference Proceedings (OSTI)

With radiosonde data from 15 Northern Hemisphere stations, surface-to-400-mb column water vapor is computed from daytime soundings for 1988–1990. On the basis of simultaneous surface visual cloud observations, the data are categorized according ...

Dian J. Gaffen; William P. Elliott

1993-12-01T23:59:59.000Z

236

ARM - Field Campaign - Summer Single Column Model IOP  

NLE Websites -- All DOE Office Websites (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

237

ARM - Field Campaign - Winter Single Column Model IOP  

NLE Websites -- All DOE Office Websites (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

238

Office of Industrial Technologies: Industry partnerships  

SciTech Connect

US industries are making progress in turning the vision of the future into reality: More effective competition in global markets, increased industrial efficiency, more jobs, reduced waste generation and greenhouse gas emissions (to 1990 levels), improved environment. DOE`s Office of Industrial Technologies is catalyzing and supporting industry progress in many ways. This pamphlet gives an overview of OIT.

1995-04-01T23:59:59.000Z

239

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"

240

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"

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

" 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"

242

The Downwind Spread of an Initially Vertical Column of Particles in a Sheared Environment  

Science Conference Proceedings (OSTI)

The effects of particle fallspeeds on the downwind spread of initially vertical columns or curtains are examined in environments with wind shear. Sets of equations describing the column width as a function of time and distance below column top ...

Ronald E. Stewart; John D. Marwitz

1982-08-01T23:59:59.000Z

243

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

244

Table HC1-8a. Housing Unit Characteristics by Urban/Rural Location ...  

U.S. Energy Information Administration (EIA)

Table HC1-8a. Housing Unit Characteristics by Urban/Rural Location, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor:

245

Table 4. LPG Consumption and Expenditures in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

Notes: • To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. • Because of rounding, data may not sum to totals.

246

Table 3. Electricity Consumption and Expenditures in U.S ...  

U.S. Energy Information Administration (EIA)

Notes: • To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. • Because of rounding, data may ...

247

Table 2. Fuel Oil Consumption and Expenditures in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Notes: • To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. • Because of rounding, data may ...

248

Table 1. Natural Gas Consumption and Expenditures in U.S ...  

U.S. Energy Information Administration (EIA)

Notes: • To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. • Because of rounding, data may not sum to totals.

249

Table 1. Natural Gas Consumption and Expenditures in U.S ...  

U.S. Energy Information Administration (EIA)

Notes: • To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. • Because of rounding, data may ...

250

Table 5. Kerosene Consumption and Expenditures in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Notes: • To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. • Because of rounding, data may not sum to totals.

251

Table CE4-6.1u. Water-Heating Energy Consumption and Expenditures ...  

U.S. Energy Information Administration (EIA)

Table CE4-6.1u. Water-Heating Energy Consumption and Expenditures by Household Member and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

252

Table CE1-4c. Total Energy Consumption in U.S. Households by Type ...  

U.S. Energy Information Administration (EIA)

Total Energy Consumption in U.S. Households by Type of Housing Unit, 2001 RSE Column Factor: Total ... where the end use is electric air-conditioning, ...

253

Table CE3-3e. Electric Air-Conditioning Energy Expenditures in U.S ...  

U.S. Energy Information Administration (EIA)

Electric Air-Conditioning Energy Expenditures in U.S. Households by Household Income, 2001 RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli-

254

Table HC4-12a. Air Conditioning by West Census Region, Million U.S ...  

U.S. Energy Information Administration (EIA)

Table HC4-12a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S.

255

Table CE3-6.1u. Electric Air-Conditioning Energy Consumption and ...  

U.S. Energy Information Administration (EIA)

Table CE3-6.1u. Electric Air-Conditioning Energy Consumption and Expenditures by Household Member and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

256

Table HC4-9a. Air Conditioning by Northeast Census Region, Million ...  

U.S. Energy Information Administration (EIA)

Table HC4-9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total

257

Table CE3-6.2u. Electric Air-Conditioning Energy Consumption and ...  

U.S. Energy Information Administration (EIA)

Table CE3-6.2u. Electric Air-Conditioning Energy Consumption and Expenditures by Square Feet and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

258

Table HC1-1a. Housing Unit Characteristics by Climate Zone ...  

U.S. Energy Information Administration (EIA)

Table HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Climate Zone1

259

R93HC.PDF  

Annual Energy Outlook 2012 (EIA)

3. Total Air-Conditioning in U.S. Households, 1993 Housing Unit and Household Characteristics RSE Column Factor: Total Households (millions) Cooled Floorspace (square feet per...

260

PRELIMINARY DATA Housing Unit and Household Characteristics  

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

PRELIMINARY DATA Housing Unit and Household Characteristics RSE Column Factor: Total Households (million) Households With Fans (million) Percent of Households With Fans Number of...

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

Table CE5-5.1u. Appliances Energy Consumption and Expenditures by ...  

U.S. Energy Information Administration (EIA)

Table CE5-5.1u. Appliances1 Energy Consumption and Expenditures by Household Member and Demographics, 2001 Household Demographics RSE Column Factor:

262

Table CE5-6.1u. Appliances Energy Consumption and Expenditures by ...  

U.S. Energy Information Administration (EIA)

Table CE5-6.1u. Appliances1 Energy Consumption and Expenditures by Household Member and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

263

Table HC5-7a. Appliances by Four Most Populated States, Million U ...  

U.S. Energy Information Administration (EIA)

Table HC5-7a. Appliances by Four Most Populated States, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total

264

Model predictive control of a Kaibel distillation column  

E-Print Network (OSTI)

A Kaibel distillation column separates a feed into four products with significant lower energy consumption than a conventional sequence of binary columns. Optimal operation and control of such systems is an important task in order to obtain the potential energy savings. A laboratory column has been built at NTNU, Department of Chemical Engineering. At the time of the diploma work the laboratory column has unfortunately not been available for MPC experiments. In practical operation a control structure based on temperature measurements is chosen for the given case. This structure gives a four-by-four multivariable system. The candidate shall base his work on a model developed by Jens Strandberg. Tasks: 1. Describe the model and extend it to include an efficiency parameter describing insufficient mixing at stages 2. Describe a general linear MPC approach for the system 3. Analyze sensitivity of model errors 4. Evaluate alternative MPC approaches 5. Implement the MPC in MATLAB and illustrate the performance by simulations 6. Prepare a setup for connecting the MPC to the actual laboratory column

Martin Krister Kvernland; Supervisor Ole; Morten Aamo; Co-supervisor Ivar Halvorsen; Sigurd Skogestad Ikp; Jim Morrison Vii

2009-01-01T23:59:59.000Z

265

A cost-effective differential mobility analyzer (cDMA) for multiple DMA column applications  

Science Conference Proceedings (OSTI)

In aerosol research and applications, a differential mobility analyzer (DMA) is now considered the standard tool for sizing and classifying monodisperse particles in the sub-micrometer and nanometer size ranges. However, DMA application at the pilot or industrial production scale remains infeasible because of the low mass throughput. A simple way to scale up DMA operation is to use multiple DMA columns. The manufacture and maintenance costs of existing DMAs, however, limit such a scale-up. A cost-effective DMA column (named cDMA) has thus been developed in this work to address the above issue. To reduce its manufacturing cost, the prototype was constructed using parts requiring little machining. The cDMA column was also designed for easy maintenance and easy variation of the classification length for any application-specified size range. In this study, prototypes with two particle classification lengths, 1.75 and 4.50 cm, were constructed and their performance was experimentally evaluated at sheath-to-aerosol flowrate ratios of 5:1, 10:1, and 15:1 via the tandem DMA (TDMA) technique. It was concluded that both prototype cDMAs, operated at a sheath/aerosol flowrate ratio less than 15:1 and with a polydisperse aerosol flowrate of 1.0 lpm, achieved sizing resolution comparable to that offered by Nano-DMA. The longer cDMA had comparable transmission efficiency to that of Nano-DMA, and the shorter cDMA exceeded the performance of Nano-DMA. Hence, the cDMA with the shorter (1.75 cm) classification length is better suited for the characterization of macromolecular samples.

Mei, F.; Fu, H.; Chen, D.-R.

2011-05-04T23:59:59.000Z

266

Single Column Model Simulations of Cloud Sensitivity to Forcing  

NLE Websites -- All DOE Office Websites (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

267

the Fractional Flotation of Flotation Column Particles Opportunity  

NLE Websites -- All DOE Office Websites (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

268

ARM - Field Campaign - Summer 1994 Single Column Model IOP  

NLE Websites -- All DOE Office Websites (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

269

ARM - Field Campaign - Winter 1994 Single Column Model IOP  

NLE Websites -- All DOE Office Websites (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

270

ARM - Field Campaign - Fall 1995 Single Column Model IOP  

NLE Websites -- All DOE Office Websites (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

271

The Monte Carlo Independent Column Approximation Model Intercomparison  

NLE Websites -- All DOE Office Websites (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

272

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

273

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)

274

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

275

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

276

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

277

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

278

An instrument for the measurement and determination of chemical pulse column parameters  

DOE Patents (OSTI)

This invention pertains to an instrument for monitoring and measuring pneumatic driving force pulse parameters applied to chemical separation pulse columns obtains real time pulse frequency and root mean square amplitude values, calculates column inch values and compares these values against preset limits to alert column operators to the variations of pulse column operational parameters beyond desired limits. 2 figs.

Marchant, N.J.; Morgan, J.P.

1988-08-31T23:59:59.000Z

279

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

280

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

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

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

282

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

283

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

284

NSLS Industrial User Program  

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

| Industrial Program Coordinator | Publications Courtesy of The New York Times, Noah Berger The overall goal of the plan to enhance the NSLS facility's Industrial Users'...

285

Uranium industry annual 1997  

SciTech Connect

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

286

Construction Industry Institute  

Science Conference Proceedings (OSTI)

... in one of our country's most vital industries. ... An industry-led program to disseminate practical ... fire-proofing materials, connections, and steel trusses; ...

2010-10-05T23:59:59.000Z

287

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

288

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

289

Industrial Applications of Renewable Resources  

Science Conference Proceedings (OSTI)

Archive of Industrial Applications of Renewable Resources Industrial Applications of Renewable Resources Cincinnati, Ohio, USA Industrial Applications of Renewable Resources ...

290

" 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)"

291

" 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)"

292

Thermal Analysis for Ion-Exchange Column System  

Science Conference Proceedings (OSTI)

Models have been developed to simulate the thermal characteristics of crystalline silicotitanate ion exchange media fully loaded with radioactive cesium either in a column configuration or distributed within a waste storage tank. This work was conducted to support the design and operation of a waste treatment process focused on treating dissolved, high-sodium salt waste solutions for the removal of specific radionuclides. The ion exchange column will be installed inside a high level waste storage tank at the Savannah River Site. After cesium loading, the ion exchange media may be transferred to the waste tank floor for interim storage. Models were used to predict temperature profiles in these areas of the system where the cesium-loaded media is expected to lead to localized regions of elevated temperature due to radiolytic decay. Normal operating conditions and accident scenarios (including loss of solution flow, inadvertent drainage, and loss of active cooling) were evaluated for the ion exchange column using bounding conditions to establish the design safety basis. The modeling results demonstrate that the baseline design using one central and four outer cooling tubes provides a highly efficient cooling mechanism for reducing the maximum column temperature. In-tank modeling results revealed that an idealized hemispherical mound shape leads to the highest tank floor temperatures. In contrast, even large volumes of CST distributed in a flat layer with a cylindrical shape do not result in significant floor heating.

Lee, S.

2012-12-20T23:59:59.000Z

293

2005 ASHRAE. 109 Groundwater heat pump systems using standing column  

E-Print Network (OSTI)

©2005 ASHRAE. 109 ABSTRACT Groundwater heat pump systems using standing column wells Carl D. Orio Carl N. Johnson, PhD, PE Simon J. Rees, PhD Member ASHRAE Member ASHRAE Member ASHRAE A. Chiasson, PhD, PE Zheng Deng, PhD Jeffrey D. Spitler, PhD, PE Member ASHRAE Student Member ASHRAE Fellow

294

" 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)"

295

THE VALVE-ACTUATED PULSE COLUMN DESIGN AND OPERATION  

SciTech Connect

A countercurrent extraction column is described which employs timed solenoid valves and pressurized feeds to provide a pulsing action to disperse the phases. The steps in the pulsing cycle are independent and thus provide greater separation of the operating variables than is possible with conventional pulse columns. The column described is particularly useful as a resesrch tool for the study of extraction mechanism although a larger installation operating on the same principles should be quite workable. The 4-stage-cycle or mixersettler type column operation has an inherent advantage in that the rapid coalescence and redispersion of phases are believed to lead to greater extraction than simple movement of a dispersed phase through a continuous medium. In addition, the sharp pulse provided should produce greater turbulence than the more conventional pulsing arrangement. Some results of operation on the extraction and stripping of uranyl nitrate using tributyl phosphate as a solvent are included. These data correspond to Metal Recovery and Erex type systems. (auth)

Burger, L.L.; Clark, L.H.

1951-12-01T23:59:59.000Z

296

Heat transfer investigations in a slurry bubble column  

SciTech Connect

Slurry bubble columns, for use in Fisher-Tropsch synthesis, have been investigated. Two bubble columns (0.108 and 0.305 m internal diameter) were set up and experiments were conducted to determine gas holdup and heat transfer coefficients. These columns were equipped with either single heat transfer probes of different diameters, or bundles of five-, seven- or thirty-seven tubes. The experiments were conducted for two- and three-phase systems; employing for gas phase: air and nitrogen, liquid phase: water and Therminol-66, and solid phase: red iron oxide (1.02, 1.70 and 2.38 {mu}m), glass beads (50.0, 90.0, 119.0 and 143.3 {mu}m), silica sand (65 {mu}), and magnetite (28.0, 35.7, 46.0, 58.0, 69.0, 90.5, 115.5, and 137.5 {mu}m). The column temperature was varied between 298--523 K, gas velocity between 0--40 cm/s, and solids concentration between 0--50 weight percent. The holdup and heat transfer data as a function of operating and system parameters were employed to assess the available correlations and semitheoretical models, and to develop new correlations. Information concerning the design and scale-up of larger units is presented. Specific research work that need to be undertaken to understand the phenomena of heat transfer and gas holdup is outlined so that efficient gas conversion and catalyst usage may be accomplished in slurry bubble columns. 130 refs., 177 figs., 54 tabs.

Saxena, S.C.; Rao, N.S.; Vadivel, R.; Shrivastav, S.; Saxena, A.C.; Patel, B.B.; Thimmapuram, P.R.; Kagzi, M.Y.; Khan, I.A.; Verma, A.K.

1991-02-01T23:59:59.000Z

297

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

298

Buildings and Energy in the 1980's  

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

in Billion Cubic Feet) SIC Code a Industry Groups and Industry Natural Gas Alternative Types of Energy b RSE Row Factors Total Consumed c Switchable Not Switchable Electricity...

299

Buildings and Energy in the 1980's  

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

in Thousand Short Tons) SIC Code a Industry Groups and Industry Coal Alternative Types of Energy b RSE Row Factors Total Consumed c Switchable Not Switchable Electricity...

300

Buildings and Energy in the 1980's  

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

Thousand Barrels) SIC Code a Industry Groups and Industry Residual Fuel Oil Alternative Types of Energy b RSE Row Factors Total Consumed c Switchable Not Switchable Electricity...

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

Buildings and Energy in the 1980's  

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

(Estimates in Thousand Barrels) SIC Code a Industry Groups and Industry LPG Alternative Types of Energy b RSE Row Factors Total Consumed c Switchable Not Switchable Electricity...

302

Buildings and Energy in the 1980's  

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

Thousand Barrels) SIC Code a Industry Groups and Industry Distillate Fuel Oil Alternative Types of Energy b RSE Row Factors Total Consumed c Switchable Not Switchable Electricity...

303

Buildings and Energy in the 1980's  

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

Kilowatthours) SIC Code a Industry Groups and Industry Electricity Receipts Alternative Types of Energy b RSE Row Factors Total Receipts c Switchable Not Switchable Natural Gas...

304

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 although, freight costs, favorable exchange rates and high capacity utilization will encourage future industrial investment. Industry will eventually enter a new period of major investment. Future industrial investment will be an opportunity to influence the energy efficiency of these facilities for generations to come. Program managers must begin engaging industrial customers now, in order to exploit this unprecedented opportunity to change future energy use patterns. This paper reviews recent market trends and industrial investment decision-making. The paper will also address several important questions: • Why has industrial investment declined? • What is the outlook for industrial investment? • How can programs engage industry for future opportunities?

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

2008-01-01T23:59:59.000Z

305

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.

306

Performance characteristics and modeling of carbon dioxide absorption by amines in a packed column  

Science Conference Proceedings (OSTI)

Carbon dioxide (CO[sub 2]) is widely recognized as a major greenhouse gas contributing to global warming. To mitigate the global warming problem, removal of CO[sub 2] from the industrial flue gases is necessary. Absorption of carbon dioxide by amines in a packed column was experimentally investigated. The amines employed in the present study were the primary mono-ethanolamine (MEA) and tertiary N-methyldiethanolamine (MDEA), two very popular amines widely used in the industries for gas purification. The CO[sub 2] absorption characteristics by these two amines were experimentally examined under various operating conditions. A theoretical model was developed for describing the CO[sub 2] absorption behavior. Test data have revealed that the model predictions and the observed CO[sub 2] absorption breakthrough curves agree very well, validating the proposed model. Preliminary regeneration tests of exhausted amine solution were also conducted. The results indicated that the tertiary amine is easier to regenerate with less loss of absorption capacity than the primary one.

Lin, S.H.; Shyu, C.T. (Yuan Ze Univ., Taoyuan (Taiwan, Province of China). Dept. of Chemical Engineering)

1999-01-01T23:59:59.000Z

307

Using solvent extraction to process nitrate anion exchange column effluents  

SciTech Connect

Octyl(phenyl)-N,N-diisobutylcarbamoylmethylphosphine oxide (CMPO), a new organophosphorous extractant, and a new centrifugal mixer-settler both recently developed at Argonne were evaluated for their potential use in the recovery of actinides from nitrate anion exchange column effluents. The performance of the extractant was evaluated by measuring the extraction coefficient values as a function of acid and salt concentration. Additional performance parameters include extraction coefficient behavior as a function of the total metal concentration in the organic phase, and comparison of different stripping and organic scrubbing techniques. A simulated effluent stream was used to evaluate the performance of the centrifugal mixer-settlers by comparing experimental and calculated interstage concentration profiles. Both the CMPO extractant and the centrifugal mixer-settlers have potential for processing nitrate column effluents, particularly if the stripping behavior can be improved. Details of the proposed process are presented in the flowsheet and contactor design analyses.

Yarbro, S.L.

1987-10-01T23:59:59.000Z

308

Tritium Isotope Separation Using Adsorption-Distillation Column  

Science Conference Proceedings (OSTI)

In order to miniaturize the height of a distillation tower for the detritiation of waste water from fusion reactors, two experiments were conducted: (1) liquid frontal chromatography of tritium water eluting through an adsorption column and (2) water distillation using a column packed with adsorbent particles. The height of the distillation tower depends on the height equivalent to a theoretical plate, HETP, and the equilibrium isotope separation factor, {alpha}{sub H-T}{sup equi}. The adsorption action improved not only HETP but also {alpha}{sub H-T}{sup equi}. Since the adsorption-distillation method proposed here can shorten the tower height with keeping advantages of the distillation, it may bring an excellent way for miniaturizing the distillation tower to detritiate a large amount of waste water from fusion reactors.

Fukada, Satoshi [Kyushu University (Japan)

2005-07-15T23:59:59.000Z

309

Method of recovering adsorbed liquid compounds from molecular sieve columns  

DOE Patents (OSTI)

Molecularly adsorbed volatile liquid compounds are recovered from molecular sieve adsorbent columns by directionally applying microwave energy to the bed of the adsorbent to produce a mixed liquid-gas effluent. The gas portion of the effluent generates pressure within the bed to promote the discharge of the effluent from the column bottoms. Preferably the discharged liquid-gas effluent is collected in two to three separate fractions, the second or intermediate fraction having a substantially higher concentration of the desorbed compound than the first or third fractions. The desorption does not need to be assisted by passing a carrier gas through the bed or by applying reduced pressure to the outlet from the bed.

Burkholder, Harvey R. (Ames, IA); Fanslow, Glenn E. (Ames, IA)

1983-01-01T23:59:59.000Z

310

EXPERIMENTAL ION EXCHANGE COLUMN WITH SUPERLIG 639 AND SIMULANT FORMULATION  

SciTech Connect

SuperLig®639 ion exchange resin was tested as a retrieval mechanism for pertechnetate, through decontamination of a perrhenate spiked 5M Simple Average Na{sup +} Mass Based Simulant. Testing included batch contacts and a three-column ion exchange campaign. A decontamination of perrhenate exceeding 99% from the liquid feed was demonstrated. Analysis of the first formulation of a SBS/WESP simulant found unexpectedly low concentrations of soluble aluminum. Follow-on work will complete the formulation.

Morse, Megan; Nash, C.

2013-08-26T23:59:59.000Z

311

Nonlinear model predictive control of a reactive distillation column.  

E-Print Network (OSTI)

??Model Predictive Control (MPC) is an optimal-control based method to select control inputs by minimizing the predicted error from setpoint for the future. Industrially popular… (more)

Kawathekar, Rohit

2004-01-01T23:59:59.000Z

312

Engineered Barrier Systems Thermal-Hydraulic-Chemical Column Test Report  

SciTech Connect

The Engineered Barrier System (EBS) Thermal-Hydraulic-Chemical (THC) Column Tests provide data needed for model validation. The EBS Degradation, Flow, and Transport Process Modeling Report (PMR) will be based on supporting models for in-drift THC coupled processes, and the in-drift physical and chemical environment. These models describe the complex chemical interaction of EBS materials, including granular materials, with the thermal and hydrologic conditions that will be present in the repository emplacement drifts. Of particular interest are the coupled processes that result in mineral and salt dissolution/precipitation in the EBS environment. Test data are needed for thermal, hydrologic, and geochemical model validation and to support selection of introduced materials (CRWMS M&O 1999c). These column tests evaluated granular crushed tuff as potential invert ballast or backfill material, under accelerated thermal and hydrologic environments. The objectives of the THC column testing are to: (1) Characterize THC coupled processes that could affect performance of EBS components, particularly the magnitude of permeability reduction (increases or decreases), the nature of minerals produced, and chemical fractionation (i.e., concentrative separation of salts and minerals due to boiling-point elevation). (2) Generate data for validating THC predictive models that will support the EBS Degradation, Flow, and Transport PMR, Rev. 01.

W.E. Lowry

2001-12-13T23:59:59.000Z

313

Users from Industry  

NLE Websites -- All DOE Office Websites (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.

314

Industrial | Open Energy Information  

Open Energy Info (EERE)

to: navigation, search Click to return to AEO2011 page AEO2011 Data From AEO2011 report . Market Trends Despite a 54-percent increase in industrial shipments, industrial energy...

315

America's Booming Wind Industry  

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

Sharing key findings from two new Energy Department reports that highlight the record growth of America's wind industry.

316

The Copper Industry  

Science Conference Proceedings (OSTI)

...These products are sold to a wide variety of industrial users. Certain mill productsâ??chiefly wire, cable, and most

317

NIST Industry Day 2012  

Science Conference Proceedings (OSTI)

... at www.fedbizopps.gov. Search NIST-AMD-INDUSTRY-DAY-2012 in the Quick Search engine. Deadline for registration ...

2013-08-30T23:59:59.000Z

318

Industrial Development Projects (Montana)  

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

This legislation authorizes municipalities and counties to issue bonds or interest coupons to finance industrial projects, including energy generation facilities.

319

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

E-Print Network (OSTI)

June 22, 2012. Keywords: interior point methods, warmstarting, column generation, linear programming, cutting stock problem. Abstract. This paper presents a ...

320

Hydrodynamic models for slurry bubble column reactors. Seventh technical progress report, January--March 1996  

DOE Green Energy (OSTI)

The objective of this investigation is to convert our ``learning gas solid-liquid`` fluidization model into a predictive design model. The IIT hydrodynamic model computes the phase velocities and the volume fractions of gas, liquid and particulate phase. Model verification involves a comparison of these computed velocities and volume fractions to experimental values. A hydrodynamic model for multiphase flows, based on the principles of mass, momentum and energy conservation for each phase, was developed and applied to model gas-liquid, gas-liquid-solid fluidization and gas-solid-solid separation. To simulate the industrial slurry bubble column reactors, a computer program based on the hydrodynamic model was written with modules for chemical reactions (e.g. the synthesis of methanol), phase changes and heat exchangers. In the simulations of gas-liquid two phases flow system, the gas hold-ups, computed with a variety of operating conditions such as temperature, pressure, gas and liquid velocities, agree well with the measurements obtained at Air Products` pilot plant. The hydrodynamic model has more flexible features than the previous empirical correlations in predicting the gas hold-up of gas-liquid two-phase flow systems. In the simulations of gas-liquid-solid bubble column reactors with and without slurry circulation, the code computes volume fractions, temperatures and velocity distributions for the gas, the liquid and the solid phases, as well as concentration distributions for the species (CO, H{sub 2}, CH{sub 3}0H, ... ), after startup from a certain initial state. A kinetic theory approach is used to compute a solid viscosity due to particle collisions. Solid motion and gas-liquid-solid mixing are observed on a color PCSHOW movie made from computed time series data. The steady state and time average catalyst concentration profiles, the slurry height and the rates of methanol production agree well with the measurements obtained at an Air Products` pilot plant.

Gidaspow, D.

1996-04-01T23:59:59.000Z

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.


321

Estimation of seismic-induced demands on column splices with a neural network model  

Science Conference Proceedings (OSTI)

The current seismic design specification (AISC 341-05) requires that column splices in moment frames, when not made using complete joint penetration (CJP) welds, be designed to develop the flexural strength of the smaller connected column and the shear ... Keywords: Column splice, Neural network, Seismic design, Steel moment frame

Bulent Akbas; Jay Shen; Thomas A. Sabol

2011-12-01T23:59:59.000Z

322

Transforming the Oil Industry into the Energy Industry  

E-Print Network (OSTI)

innovation and lets industry pick winning technologies. TheTransforming the Oil Industry intothe Energy Industry BY DANIEL SPERLING AND SONIA YEH A C C E

Sperling, Daniel; Yeh, Sonia

2009-01-01T23:59:59.000Z

323

From Industry Protection to Industry Promotion: IT Policy in Brazil  

E-Print Network (OSTI)

Brazilian banking automation industry. Science, TechnologyBrazilian liberalisation of the IT industry on technologicalWorking paper. Computer Industry Almanac, Inc. (1999).

Botelho, Antonio Jose Junqueira; Dedrick, Jason; Kraemer, Kenneth L.; Tigre, Paulo Bastos

1999-01-01T23:59:59.000Z

324

Industry - ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (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

325

Uranium industry annual 1998  

SciTech Connect

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

326

Uranium industry annual 1994  

SciTech Connect

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

327

Users from Industry  

NLE Websites -- All DOE Office Websites (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.

328

THE COLUMN DENSITY VARIANCE-M{sub s} RELATIONSHIP  

SciTech Connect

Although there is a wealth of column density tracers for both the molecular and diffuse interstellar medium, there are few observational studies investigating the relationship between the density variance ({sigma}{sup 2}) and the sonic Mach number (M{sub s}). This is in part due to the fact that the {sigma}{sup 2}-M{sub s} relationship is derived, via MHD simulations, for the three-dimensional (3D) density variance only, which is not a direct observable. We investigate the utility of a 2D column density {sigma}{sub {Sigma}/{Sigma}0}{sup 2}-M{sub s} relationship using solenoidally driven isothermal MHD simulations and find that the best fit follows closely the form of the 3D density {sigma}{sub {rho}/{rho}0}{sup 2}-M{sub s} trend but includes a scaling parameter A such that {sigma}{sub ln({Sigma}/{Sigma}o)} = A x ln(1+b{sup 2} M{sub s}{sup 2}), where A = 0.11 and b = 1/3. This relation is consistent with the observational data reported for the Taurus and IC 5146 molecular clouds with b = 0.5 and A = 0.16, and b = 0.5 and A = 0.12, respectively. These results open up the possibility of using the 2D column density values of {sigma}{sup 2} for investigations of the relation between the sonic Mach number and the probability distribution function (PDF) variance in addition to existing PDF sonic Mach number relations.

Burkhart, Blakesley; Lazarian, A. [Astronomy Department, University of Wisconsin, Madison, 475 N. Charter St., WI 53706 (United States)

2012-08-10T23:59:59.000Z

329

Tobacco Industry Involvement in Colorado  

E-Print Network (OSTI)

Accessed May 25, 2004) Industry Summary. 1992 (est. ).11 May 2004) Tobacco Industry Involvement in Colorado Pageor (800) LUNG-USA. Tobacco Industry Involvement in Colorado

Landman, BA, Anne; Bialick, Peter

2004-01-01T23:59:59.000Z

330

For Industry | ornl.gov  

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

R&D accelerates battery technology | More news Home | Connect with ORNL | For Industry For Industry | For Industry SHARE There are a few different way of "working" with...

331

Basic design and hydrodynamic analysis of three-column TLP and comparison with ISSC TLP  

E-Print Network (OSTI)

Three-column TLP is a new design variation of the common four-column TLP. The objective of this study is to find the hydrodynamic feasibility of the three-column TLP. This accomplished by comparing the three-column design to the ISSC TLP. The ISSC TLP is chosen as the parent TLP and the column diameter, distance between column centers, water depth, environment and pontoon dimensions are kept the same for the ISSC TLP. The initial design shows a satisfactory hydrodynamic characteristic set for the three-column. A detailed coupled analysis of the platform is done using Higher Order Boundary Element Application (HOBEM). The wave excitation forces, responses and average drift forces are computed for wave heading 0 degree and 30 degree. A non-linear quasi-static study is done for the tendons. The three-column design is compared with the four-column design and the comparison shows the two are hydrodynamically similar. Three-column TLP can be considered as a viable alternative for four-column TLP.

Sebastian, Abhilash

2000-01-01T23:59:59.000Z

332

AN ORIFICE PLATE PULSE COLUMN FOR LIQUID-LIQUID EXTRACTION (thesis)  

SciTech Connect

A study was made of the performance of an orifice plate pulse column which is essentially a spray column containing internal constrictions in the form of orifices. The chemical system studied was acetic acid-waterhexone, and the variables considered were pulse frequency, throughput, phase continuity, and direction of solute transfer. For comparison purposes, several runs were made with a conventional spray column. Curves are presented showing the effect of the column variables on the column efficiency (HTU). The trends observed are explained as being due principally to the competing effects of the area for mass transfer and back-mixing. Photographs of a typical column section show qualitatively the effect of the important column variables. (auth)

O' Brien, D.C.

1954-08-23T23:59:59.000Z

333

PIA - Industry Interactive Procurement System (IIPS) | Department...  

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

Industry Interactive Procurement System (IIPS) PIA - Industry Interactive Procurement System (IIPS) PIA - Industry Interactive Procurement System (IIPS) PIA - Industry Interactive...

334

The Two-Column Aerosol Project (TCAP) Science Plan  

Science Conference Proceedings (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

335

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

336

Industrial Partnerships Office  

Industrial Partnerships Office 6/13 Richard Rankin Director----Roger Werne Deputy Director-----Yvonne King Administrator Nina Potter Manager Intellectual Property

337

Industrial Waste Generation  

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

9) Page 2 of 7 Industrial Waste Generation Work with Engineered Nanomaterials Power Consumption Historical Contamination (groundwater, soil) Hazardous Waste Generation Atmospheric...

338

Construction Industry Software  

Science Conference Proceedings (OSTI)

... Translates a CIS/2 (CIMsteel Integration Standards) file into a 3D interactive VRML model of a steel structure or an IFC (Industry Foundation Classes ...

2012-04-23T23:59:59.000Z

339

Search - Industrial Partnerships Office  

Industrial Partnerships Office P.O. Box 808, L-795 Livermore, CA 94551 Phone: (925) 422-6416 Fax: (925) 423-8988 Operated by Lawrence Livermore ...

340

Technologies - Industrial Partnerships Office  

Energy, Utilities, & Power Systems. Industrial Partnerships Office P.O. Box 808, L-795 Livermore, CA 94551 Phone: (925) 422-6416 Fax: (925) 423-8988

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

Industrial Energy Efficiency Assessments  

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

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

342

OpenEI - Industrial  

Open Energy Info (EERE)

renewable energy consumption (in quadrillion btu) for electricity generation in the United States by energy use sector (commercial, industrial and electric power) and by...

343

Small Column Ion Exchange Design and Safety Strategy  

SciTech Connect

Small Column Ion Exchange (SCIX) is a transformational technology originally developed by the Department of Energy (DOE) Environmental Management (EM-30) office and is now being deployed at the Savannah River Site (SRS) to significantly increase overall salt processing capacity and accelerate the Liquid Waste System life-cycle. The process combines strontium and actinide removal using Monosodium Titanate (MST), Rotary Microfiltration, and cesium removal using Crystalline Silicotitanate (CST, specifically UOP IONSIV{reg_sign}IE-911 ion exchanger) to create a low level waste stream to be disposed in grout and a high level waste stream to be vitrified. The process also includes preparation of the streams for disposal, e.g., grinding of the loaded CST material. These waste processing components are technically mature and flowsheet integration studies are being performed including glass formulations studies, application specific thermal modeling, and mixing studies. The deployment program includes design and fabrication of the Rotary Microfilter (RMF) assembly, ion-exchange columns (IXCs), and grinder module, utilizing an integrated system safety design approach. The design concept is to install the process inside an existing waste tank, Tank 41H. The process consists of a feed pump with a set of four RMFs, two IXCs, a media grinder, three Submersible Mixer Pumps (SMPs), and all supporting infrastructure including media receipt and preparation facilities. The design addresses MST mixing to achieve the required strontium and actinide removal and to prevent future retrieval problems. CST achieves very high cesium loadings (up to 1,100 curies per gallon (Ci/gal) bed volume). The design addresses the hazards associated with this material including heat management (in column and in-tank), as detailed in the thermal modeling. The CST must be size reduced for compatibility with downstream processes. The design addresses material transport into and out of the grinder and includes provisions for equipment maintenance including remote handling. The design includes a robust set of nuclear safety controls compliant with DOE Standard (STD)-1189, Integration of Safety into the Design Process. The controls cover explosions, spills, boiling, aerosolization, and criticality. Natural Phenomena Hazards (NPH) including seismic event, tornado/high wind, and wildland fire are considered. In addition, the SCIX process equipment was evaluated for impact to existing facility safety equipment including the waste tank itself. SCIX is an innovative program which leverages DOE's technology development capabilities to provide a basis for a successful field deployment.

Huff, T.; Rios-Armstrong, M.; Edwards, R.; Herman, D.

2011-02-07T23:59:59.000Z

344

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

345

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

346

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

347

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

348

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

349

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

350

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

351

Recent developments: Industry briefs  

SciTech Connect

This article is the `Industry Briefs` portion of the March 1992 `Recent Developments` section of Nuexco. Specific issues mentioned are: (1) closure of Yankee Rowe, (2) steam-generator tube plugging at Trojan, (3) laser enrichment in South Africa, (4) the US uranium industry, (5) planning for two nuclear units in Taiwan, and (6) the establishment of a Czech/French joint venture.

NONE

1992-03-01T23:59:59.000Z

352

Geothermal industry assessment  

DOE Green Energy (OSTI)

An assessment of the geothermal industry is presented, focusing on industry structure, corporate activities and strategies, and detailed analysis of the technological, economic, financial, and institutional issues important to government policy formulation. The study is based principally on confidential interviews with executives of 75 companies active in the field. (MHR)

Not Available

1980-07-01T23:59:59.000Z

353

COMPUTATIONAL AND EXPERIMENTAL MODELING OF SLURRY BUBBLE COLUMN REACTORS  

SciTech Connect

The objective if this study was to develop a predictive experimentally verified computational fluid dynamics (CFD) model for gas-liquid-solid flow. A three dimensional transient computer code for the coupled Navier-Stokes equations for each phase was developed. The principal input into the model is the viscosity of the particulate phase which was determined from a measurement of the random kinetic energy of the 800 micron glass beads and a Brookfield viscometer. The computed time averaged particle velocities and concentrations agree with PIV measurements of velocities and concentrations, obtained using a combination of gamma-ray and X-ray densitometers, in a slurry bubble column, operated in the bubbly-coalesced fluidization regime with continuous flow of water. Both the experiment and the simulation show a down-flow of particles in the center of the column and up-flow near the walls and nearly uniform particle concentration. Normal and shear Reynolds stresses were constructed from the computed instantaneous particle velocities. The PIV measurement and the simulation produced instantaneous particle velocities. The PIV measurement and the simulation produced similar nearly flat horizontal profiles of turbulent kinetic energy of particles. This phase of the work was presented at the Chemical Reaction Engineering VIII: Computational Fluid Dynamics, August 6-11, 2000 in Quebec City, Canada. To understand turbulence in risers, measurements were done in the IIT riser with 530 micron glass beads using a PIV technique. The results together with simulations will be presented at the annual meeting of AIChE in November 2000.

Paul Lam; Dimitri Gidaspow

2000-09-01T23:59:59.000Z

354

Industry - ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (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.

355

Uranium industry annual 1996  

SciTech Connect

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

356

Uranium industry annual 1995  

SciTech Connect

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

357

Buildings and Energy in the 1980's  

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

Industry Primary Consumption for All Purposes Inputs for Heat, Power, and Generation of Electricity Primary Consumption for Nonfuel Purposes RSE Row Factors LPG Distillate b...

358

Buildings and Energy in the 1980's  

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

. . . . . . . . . . 79 1,464 732 460 8.9 a See Appendices B and F for descriptions of the Standard Industrial Classification system. NFNo applicable RSE rowcolumn factor. *...

359

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

360

" 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"

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

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

362

NSLS Industrial User Program  

NLE Websites -- All DOE Office Websites (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.

363

Solar energy industry survey  

SciTech Connect

This report describes the results of a survey of companies in the solar energy industry. The general objective of the survey was to provide information to help evaluate the effectiveness of technology transfer mechanisms for the development of the solar industry. The specific objectives of the survey included: (1) determination of the needs of the solar industry; (2) identification of special concerns of the solar industry; and (3) determination of the types of technology transfer mechanisms that would be most helpful to the solar industry in addressing these needs and concerns. The major focus was on technical problems and developments, but institutional and marketing considerations were also treated. The majority of the sample was devoted to the solar heating and cooling (SHAC) component of the industry. However, a small number of photovoltaic (PV), wind, and power generation system manufacturers were also surveyed. Part I discusses the methodology used in the selection, performance, and data reduction stages of the survey, comments on the nature of the responses, and describes the conclusions drawn from the survey. The latter include both general conclusions concerning the entire solar industry, and specific conclusions concerning component groups, such as manufacturers, architects, installers, or dealers. Part II consists of tabulated responses and non-attributed verbatim comments that summarize and illustrate the survey results.

1979-08-06T23:59:59.000Z

364

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

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

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

365

Modeling of FRP-jacketed RC columns subject to combined axial and lateral loads  

E-Print Network (OSTI)

Prisms Strengthened Using Carbon Fiber Reinforced PolymerStrengthening Effects with Carbon Fiber Sheet for ConcreteColumns with Continuous Carbon Fiber Jackets: Volume II,

Lee, Chung-Sheng

2006-01-01T23:59:59.000Z

366

Insitu expanding foam based carbon/epoxy sandwich jackets for column retrofit  

E-Print Network (OSTI)

RC Columns with Continuous Carbon Fiber Jackets, Journal ofC. Pantelides, J. Gergely, Carbon Fiber Reinforced Polymerand processing type (i.e. carbon fiber reinforced epoxy with

Danyeur, Alicia

2008-01-01T23:59:59.000Z

367

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 ...

368

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

369

Industrial process surveillance system  

DOE Patents (OSTI)

A system and method 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.

Gross, Kenneth C. (Bolingbrook, IL); Wegerich, Stephan W. (Glendale Heights, IL); Singer, Ralph M. (Naperville, IL); Mott, Jack E. (Idaho Falls, ID)

1998-01-01T23:59:59.000Z

370

Industrial Process Surveillance System  

DOE Patents (OSTI)

A system and method 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.

Gross, Kenneth C. (Bolingbrook, IL); Wegerich, Stephan W (Glendale Heights, IL); Singer, Ralph M. (Naperville, IL); Mott, Jack E. (Idaho Falls, ID)

2001-01-30T23:59:59.000Z

371

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

372

2005 RSE's - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Eileen O'Brien Eileen.O'Brien@eia.doe.gov Survey Manager Phone: (202) 586-1122 FAX: (202) 586-0018 ...

373

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

SciTech Connect

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

374

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

375

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

376

Argonne CNM: Industrial Users  

NLE Websites -- All DOE Office Websites (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.

377

Electric Utility Industry Update  

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

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

378

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

379

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

380

Industry - ORNL Neutron Sciences  

NLE Websites -- All DOE Office Websites (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,"

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

Industrial Oil Products Division  

Science Conference Proceedings (OSTI)

A forum for professionals involved in research, development, engineering, marketing, and testing of industrial products and co-products from fats and oils, including fuels, lubricants, coatings, polymers, paints, inks, cosmetics, dielectric fluids, and ad

382

Industrial Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Module. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

Kelly Perl

2013-05-14T23:59:59.000Z

383

Optimization of Industrial Enzymes  

Enzymes are highly efficient naturally occurring catalysts that are used in a wide range of applications from industrial processes to new drug development. Conventional mechanism for understanding the mechanisms of enzyme functions are costly and time ...

384

Technologies - Industrial Partnerships Office  

Industrial Partnerships Office P.O. Box 808, L-795 Livermore, CA 94551 Phone: (925) 422-6416 Fax: (925) 423-8988 Operated by Lawrence Livermore National Security, LLC ...

385

Electric Power Industry Restructuring:  

U.S. Energy Information Administration (EIA)

Good morning. I was asked to speak to you today about EIA’s data collection efforts in a more competitive electric power industry. I know that you want to hear ...

386

Uranium Industry Annual, 1992  

Science Conference Proceedings (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

387

Industrial Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Module. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

Kelly Perl

2013-09-30T23:59:59.000Z

388

Industry - ORNL Neutron Sciences  

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

Hidden Stresses in Materials HTML, HFIR Team Work with Industry To Find Hidden Stresses in Materials Metalsa, EPRI, John Deere among partners in high-impact projects Whether it's...

389

Industrial Assessment Center  

SciTech Connect

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

390

Working Through Outsourcing: Software Practice, Industry Organization and Industry Evolution in India  

E-Print Network (OSTI)

Outsourcing: Software Practice, Industry Organizationand Industry Evolution in India Kyle EischenSoftware Practice, Industry Organization and Industry

Eischen, Kyle

2004-01-01T23:59:59.000Z

391

Industrial Retrofits are Possible  

E-Print Network (OSTI)

Ontario is the industrial heartland of Canada and more than 80% of its energy comes from Canadian sources with the remainder from the neighbouring U.S. states. Because of the ever increasing demand for energy relating to increased economic activity, the provincial government's major energy priority is efficiency. In April of 1987, the provincial government initiated a program to assist industrial energy users to reduce their energy usage. This program was designed to concentrate on an in-depth analysis of the complete operations of industrial plants with the analyses being performed by specialist, private sector, engineering consultants. The program is in 3 phases providing an Ontario industrial plant with an Energy Analysis, a Feasibility Analysis Grant and a Project Engineering Design Grant. In this presentation, the author will outline the results of the program to date and will attempt to share with the audience the individual case experiences. Since the program's start, the Ontario Ministry of Energy has completed over 320 energy analyses of industrial plants which had combined energy bills of over $420 million. The potential annual energy savings identified were over $40 million or 9.51%. Electricity and natural gas are the major fuels used by Ontario industries and our surveys to date have shown savings of 6% in electricity and 11% in natural gas. Over the first two years of the program, individual plants have or are intending to implement more than half of the energy analysis recommendations.

Stobart, E. W.

1990-06-01T23:59:59.000Z

392

Cometabolic degradation of trichloroethylene in a bubble column bioscrubber  

SciTech Connect

A bubble column bioreactor was used as bioscrubber to carry out a feasibility study for the cometabolic degradation of trichloroethylene (TCE). Phenol was used as cosubstrate and inducer. The bioreactor was operated like a conventional chemostat with regard to the cosubstrate and low dilution rates were used to minimize the liquid outflow. TCE degradation measurements were carried out using superficial gas velocities between 0.47 and 4.07 cm s{sup {minus}1} and TCE gas phase loads between 0.07 and 0.40 mg L{sup {minus}1}. Depending on the superficial gas velocity used, degrees of conversion between 30% and 80% were obtained. A simplified reactor model using plug flow for the gas phase, mixed flow for the liquid phase, and pseudo first order reaction kinetics for the conversion of TCE was established. The model is able to give a reasonable approximation of the experimental data. TCE degradation at the used experimental conditions is mainly limited by reaction rate rather than by mass transfer rate. The model can be used to calculate the reactor value and the biomass concentration for a required conversion.

Hecht, V.; Brebbermann, D.; Bremer, P.; Deckwer, W.D. [Bereich Bioverfahrenstechnik, Braunschweig (Germany). Gesellschaft fuer Biotechnologische Forschung mbH

1995-08-20T23:59:59.000Z

393

Innovative Utility Pricing for Industry  

E-Print Network (OSTI)

The electric utility industry represents only one source of power available to industry. Although 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 industry. Electric utilities face increased competition, both from other utilities and from industrial self-generation. The paper discusses competition for industrial customers and innovative pricing trends that have evolved nationally to meet the growing competition for industrial sales. Cogeneration activities and the emerging concepts of wheeling power are also discussed. Specifics of industry evaluation and reaction to utility pricing are presented. Also enumerated are examples of the response various utilities throughout the United States have made to the needs of their industrial customers through innovative rate design. Industry/utility cooperation can result in benefits to industry, to the electric utility and to all other ratepayers. This discussion includes examples of successful cooperation between industry and utilities.

Ross, J. A.

1986-06-01T23:59:59.000Z

394

Column Studies of Anaerobic Carbon Tetrachloride Biotransformation with Hanford Aquifer Material  

E-Print Network (OSTI)

on CT transformations in Hanford soil. This work assessed the potential for in situ CT biotransColumn Studies of Anaerobic Carbon Tetrachloride Biotransformation with Hanford Aquifer Material a column reactor system containing Hanford Aquifer material in order to assess the potential of in situ

Semprini, Lewis

395

THE POWER SUPPLY SYSTEM FOR THE ACCELERATING COLUMN OF THE 2 MEV ELECTRON COOLER FOR COSY  

E-Print Network (OSTI)

filter, and various power supplies for these elements. The cascade transformer is to provide a requiredTHE POWER SUPPLY SYSTEM FOR THE ACCELERATING COLUMN OF THE 2 MEV ELECTRON COOLER FOR COSY D a high-energy electron beam. The power supply for the accelerating column of the electron cooling system

Kozak, Victor R.

396

Optimal Allocation of Heat Exchanger Inventory in a Serial Type Diabatic Distillation Column  

E-Print Network (OSTI)

Optimal Allocation of Heat Exchanger Inventory in a Serial Type Diabatic Distillation Column Edward the column . We have previously shown (Jimenez et al. 2003) that optimaloperation of serial heat exchangers total heat exchanger area in different trays and calculate the optimal allocation of a given heat

Salamon, Peter

397

Flexural buckling load prediction of aluminium alloy columns using soft computing techniques  

Science Conference Proceedings (OSTI)

This paper presents the application of soft computing techniques for strength prediction of heat-treated extruded aluminium alloy columns failing by flexural buckling. Neural networks (NN) and genetic programming (GP) are presented as soft computing ... Keywords: Aluminium alloy columns, Flexural buckling, Genetic programming, Neural networks, Soft computing

Abdulkadir Cevik; Nihat Atmaca; Talha Ekmekyapar; Ibrahim H. Guzelbey

2009-04-01T23:59:59.000Z

398

Control of absorption columns in the bioethanol process: Influence of measurement uncertainties  

Science Conference Proceedings (OSTI)

The alcohol lost by evaporation during the bioethanol fermentation process may be collected and recovered using an absorption column. This equipment is also used in the carbonic gas treatment, a by-product from the sugar cane fermentation. In the present ... Keywords: Absorption column, Artificial neural network control, Bioethanol, Concentration measurement uncertainty, Fermentation

Eduardo Eyng; Ana M. F. Fileti

2010-03-01T23:59:59.000Z

399

Brief paper: Self-tuning regulator applied to a binary distillation column  

Science Conference Proceedings (OSTI)

Utilization of a self-tuning regulator (STR) for control of top product composition of a binary distillation column has been investigated. Results from simulation studies and experimental evaluation of the STR on a pilot scale column are compared with ... Keywords: Adaptive control, chemical variables control, computer control, control engineering computer applications, petro-chemical control, self-adjusting systems, stochastic control

V. A. Sastry; D. E. Seborg; R. K. Wood

1977-07-01T23:59:59.000Z

400

California Industrial Energy Efficiency Potential  

E-Print Network (OSTI)

The Potential for Energy Efficiency. Prepared for The EnergyIndustrial Sector Energy Efficiency Potential Study - DraftIndustrial Energy Efficiency Market Characterization Study.

Coito, Fred; Worrell, Ernst; Price, Lynn; Masanet, Eric; Rafael Friedmann; Rufo, Mike

2005-01-01T23:59:59.000Z

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

Industrial Technologies - Energy Innovation Portal  

Industrial Technologies Marketing Summaries Here you’ll find marketing summaries of industrial technologies available for licensing from U.S. Department of Energy ...

402

EIA Electric Industry Data Collection  

U.S. Energy Information Administration (EIA)

Steam Production EIA Electric Industry Data Collection Residential Industrial ... Monthly data on cost and quality of fuels delivered to cost-of-service plants

403

NEMS industrial module documentation report  

SciTech Connect

The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2010) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of output of industrial activity. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

1994-01-01T23:59:59.000Z

404

Small scale ethanol production demonstration: comparison of packed versus plate rectifying column  

DOE Green Energy (OSTI)

The Johnson Environmental and Energy Center with assistance from the Madison County Farm Bureau Association received a grant in 1980 from the US Department of Energy to design, fabricate, and evaluate a small scale continuous ethanol plant. In 1981, the Center received a second DOE grant to compare the economics of replacing the plate rectifying column in the initial unit with a packed rectifying column. The results of the study indicate that the distillation unit with the packed rectifying column is capable of producing 14 gallons per hour of 170 proof ethanol. The energy ratio for distillation was a positive 2:1. Cost of the packed column was considerably less than the plate column. 1 reference, 19 figures, 9 tables.

Adcock, II, L E; Eley, M H; Schroer, B J

1982-07-01T23:59:59.000Z

405

Energy Efficiency Fund (Electric) - Commercial and Industrial...  

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

Commercial and Industrial Energy Efficiency Programs Energy Efficiency Fund (Electric) - Commercial and Industrial Energy Efficiency Programs Eligibility Commercial Industrial...

406

Industrial Distributed Energy: Combined Heat & Power | Department...  

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

Industrial Distributed Energy: Combined Heat & Power Industrial Distributed Energy: Combined Heat & Power Information about the Department of Energy's Industrial Technologies...

407

Coldwater Board of Public Utilities - Commercial & Industrial...  

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

Commercial & Industrial Lighting Rebate Program Coldwater Board of Public Utilities - Commercial & Industrial Lighting Rebate Program Eligibility Commercial Industrial Local...

408

Industrial Oil Products Newsletter April 2013  

Science Conference Proceedings (OSTI)

Read the Industrial Oil Products Newsletter April 2013. Industrial Oil Products Newsletter April 2013 Industrial Oil Products Newsletter April 2013 ...

409

ET Industries, Inc.  

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

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

410

Industrial lighting handbook  

SciTech Connect

Technological advances in industrial lighting system components now make it possible to reduce lighting system consumption by up to 50% or more without loss of the benefits inherent in good quality electric illumination. Management involvement in decisions about industrial lighting is essential, however, and this document provides generalized information in lay terms to help decision-makers become familiar with the concerns that affect industrial environment and the financial well-being of their companies. The five sections (1) discuss the benefits of good lighting, (2) review certain major lighting issues and terms, (3) identify procedures for developing a lighting energy management plan, (4) identify lighting energy management options (LEMOs), and (5) discuss sources of assistance. 19 figures, 8 tables.

1985-01-01T23:59:59.000Z

411

China's Industrial Energy  

NLE Websites -- All DOE Office Websites (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

412

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

413

INDUSTRIAL ASSESSMENT CENTER PROGRAM  

Science Conference Proceedings (OSTI)

Since its establishment in 1990, San Diego State University’s Industrial Assessment Center (IAC) has served close to 400 small and medium-sized manufacturing plants in Southern California. SDSU/IAC’s efforts to transfer state-of-the-art technologies to industry have increased revenues, cultivated creativity, improved efficiencies, and benefited the environment. A substantial benefit from the program has been the ongoing training of engineering faculty and students. During this funding cycle, SDSU/IAC has trained 31 students, 7 of the graduate. A total of 92 assessments and 108 assessment days were completed, resulting in 638 assessment recommendations.

ASFAW BEYENE

2008-09-29T23:59:59.000Z

414

Industrial Assessment Center  

SciTech Connect

Since its inception, the University of Florida Industrial Assessment Center has successfully completed close to 400 energy assessments of small to medium manufacturing facilities in Florida, southern Georgia and southern Alabama. Through these efforts, recommendations were made that would result in savings of about $5 million per year, with an implementation rate of 20-25%. Approximately 80 engineering students have worked for the UF-IAC, at least 10 of whom went on to work in energy related fields after graduation. Additionally, through the popular course in Industrial Energy Management, many students have graduated from the University of Florida with a strong understanding and support of energy conservation methods.

Dr. Diane Schaub

2007-03-05T23:59:59.000Z

415

Solar industrial process heat  

DOE Green Energy (OSTI)

The aim of the assessment reported is to candidly examine the contribution that solar industrial process heat (SIPH) is realistically able to make in the near and long-term energy futures of the United States. The performance history of government and privately funded SIPH demonstration programs, 15 of which are briefly summarized, and the present status of SIPH technology are discussed. The technical and performance characteristics of solar industrial process heat plants and equipment are reviewed, as well as evaluating how the operating experience of over a dozen SIPH demonstration projects is influencing institutional acceptance and economoc projections. Implications for domestic energy policy and international implications are briefly discussed. (LEW)

Lumsdaine, E.

1981-04-01T23:59:59.000Z

416

Society of Independent Professional Earth Scientists President’s Column  

E-Print Network (OSTI)

The Boom is on anywhere there is liquids-rich shale on private lands in the continental United States. Much as it was for gas from shale five years ago, there is a frenzy of Marc Maddox activity in oil from shale plays now. For those of us in the oil shale basins, it is a wild ride. For those of us in the gas shale plays the bust has come. Talk of a one-hundred year or more supply of natural gas, along with the continued development of associated gas from oil shale development, has glutted the market and left futures traders with the perception of a long-term oversupply of natural gas. Export facilities are years into the future, so the immediate outlook for natural gas is not encouraging. The oil and gas industry has done what it long promised with natural gas. Our industry has said that given the proper incentive (profit), enough natural resources can be developed domestically to drive prices down for the consumer. Good prices for natural gas drove technological innovation that resulted in the current glut of gas. In this case prices have gone a bit too low, and now drilling has slowed in the Barnett, Haynesville, Marcellus and other plays. The market at work: efficiency in action as capital is redeployed to more profitable ventures. Will shale oil follow this same path? That doesn’t seem likely, as the United States has required imports to satisfy its

Name See; How I Became An; Marc D. Maddox

2012-01-01T23:59:59.000Z

417

Industrial Partnerships | ornl.gov  

NLE Websites -- All DOE Office Websites (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

418

" 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"

419

" 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"

420

" 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"

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

" 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"

422

" 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"

423

" 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"

424

" 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"

425

INTERMOUNTAIN INDUSTRIAL ASSESSMENT CENTER  

SciTech Connect

The U. S. Department of Energy’s Intermountain Industrial Assessment Center (IIAC) at the University of Utah has been providing eligible small- and medium-sized manufacturers with no-cost plant assessments since 2001, offering cost-effective recommendations for improvements in the areas of energy efficiency, pollution prevention, and productivity improvement.

MELINDA KRAHENBUHL

2010-05-28T23:59:59.000Z

426

Industrial cogeneration optimization program  

SciTech Connect

The purpose of this program was to identify up to 10 good near-term opportunities for cogeneration in 5 major energy-consuming industries which produce food, textiles, paper, chemicals, and refined petroleum; select, characterize, and optimize cogeneration systems for these identified opportunities to achieve maximum energy savings for minimum investment using currently available components of cogenerating systems; and to identify technical, institutional, and regulatory obstacles hindering the use of industrial cogeneration systems. The analysis methods used and results obtained are described. Plants with fuel demands from 100,000 Btu/h to 3 x 10/sup 6/ Btu/h were considered. It was concluded that the major impediments to industrial cogeneration are financial, e.g., high capital investment and high charges by electric utilities during short-term cogeneration facility outages. In the plants considered an average energy savings from cogeneration of 15 to 18% compared to separate generation of process steam and electric power was calculated. On a national basis for the 5 industries considered, this extrapolates to saving 1.3 to 1.6 quads per yr or between 630,000 to 750,000 bbl/d of oil. Properly applied, federal activity can do much to realize a substantial fraction of this potential by lowering the barriers to cogeneration and by stimulating wider implementation of this technology. (LCL)

1980-01-01T23:59:59.000Z

427

Industrial Assessment Center  

SciTech Connect

This project involved providing technical assistance to help small and medium size industries in Wisconsin to reduce operating costs by managing energy, waste and productivity. The project helped save 525 companies on average about $40,000 per year. Under the direction of Dr. Saxena, more than twenty undergraduate and ten graduate students were trained in energy, waste, and productivity management.

Umesh K. Saxena

2009-06-04T23:59:59.000Z

428

Synfuels industry opportunities  

SciTech Connect

Presentations made at the seminar are included in this volume. The present state in the development of synthetic fuels and the creation of the Synthetic Fuels Corporation are discussed by representatives of federal agencies and private industry. Separate abstracts of individual items were prepared for inclusion in the Energy Data Base and Energy Abstracts for Policy Analysis. (DMC)

Hill, R.F.; Boardman, E.B.; Heavner, M.L. (eds.)

1981-01-01T23:59:59.000Z

429

ROTARY FILTER FINES TESTING FOR SMALL COLUMN ION EXCHANGE  

SciTech Connect

SRNL was requested to quantify the amount of 'fines passage' through the 0.5 micron membranes currently used for the rotary microfilter (RMF). Testing was also completed to determine if there is any additional benefit to utilizing a 0.1 micron filter to reduce the amount of fines that could pass through the filter. Quantifying of the amount of fines that passed through the two sets of membranes that were tested was accomplished by analyzing the filtrate by Inductively Coupled Plasma Atomic Emission Spectrometry (ICP-AES) for titanium. Even with preparations to isolate the titanium, all samples returned results of less than the instrument's detection limit of 0.184 mg/L. Test results show that the 0.5 micron filters produced a significantly higher flux while showing a negligible difference in filtrate clarity measured by turbidity. The first targeted deployment of the RMF is with the Small Column Ion Exchange (SCIX) at the Savannah River Site (SRS). SCIX uses crystalline silicotitanate (CST) to sorb cesium to decontaminate a clarified salt solution. The passage of fine particles through the filter membranes in sufficient quantities has the potential to impact the downstream facilities. To determine the amount of fines passage, a contract was established with SpinTek Filtration to operate a 3-disk pilot scale unit with prototypic filter disk and various feeds and two different filter disk membranes. SpinTek evaluated a set of the baseline 0.5 micron filter disks as well as a set of 0.1 micron filter disks to determine the amount of fine particles that would pass the membrane and to determine the flux each set produced. The membrane on both disk sets is manufactured by the Pall Corporation (PMM 050). Each set of disks was run with three feed combinations: prototypically ground CST, CST plus monosodium titanate (MST), and CST, MST, plus Sludge Batch 6 (SB6) simulant. Throughout the testing, samples of the filtrate were collected, measured for turbidity, and sent back to SRNL for analysis to quantify the amount of fines that passed through the membrane. It should be noted that even though ground CST was tested, it will be transferred to the Defense Waste Processing Facility (DWPF) feed tank and is not expected to require filtration.

Herman, D.

2011-08-03T23:59:59.000Z

430

Turning industry visions into reality  

Science Conference Proceedings (OSTI)

This brochure outlines the activities of the Office of Industrial Technologies (OIT) in the Department of Energy. OIT activities are aimed at industry adoption of energy-efficient, pollution-reducing technologies and include research and development on advanced technologies, financing, technical assistance, information dissemination, education, and bringing together industry groups, universities, National Laboratories, states, and environmentalists. OIT`s core initiative is to facilitate partnerships within seven materials and process industries: aluminum, chemicals, forest products, glass, metalcasting, petroleum refining, and steel industries.

NONE

1997-01-01T23:59:59.000Z

431

THERMAL MODELING ANALYSIS OF CST MEDIA IN THE SMALL COLUMN ION EXCHANGE PROJECT  

SciTech Connect

Models have been developed to simulate the thermal characteristics of Crystalline Silicotitanate (CST) ion exchange media fully loaded with radioactive cesium in a column configuration and distributed within a waste storage tank. This work was conducted to support the Small Column Ion Exchange (SCIX) program which is focused on processing dissolved, high-sodium salt waste for the removal of specific radionuclides (including Cs-137, Sr-90, and actinides) within a High Level Waste (HLW) storage tank at the Savannah River Site. The SCIX design includes CST columns inserted and supported in the tank top risers for cesium removal. Temperature distributions and maximum temperatures across the column were calculated with a focus on process upset conditions. A two-dimensional computational modeling approach for the in-column ion-exchange domain was taken to include conservative, bounding estimates for key parameters such that the results would provide the maximum centerline temperatures achievable under the design configurations using a feed composition known to promote high cesium loading on CST. One salt processing scenario includes the transport of the loaded (and possibly ground) CST media to the treatment tank floor. Therefore, additional thermal modeling calculations were conducted using a three-dimensional approach to evaluate temperature distributions for the entire in-tank domain including distribution of the spent CST media either as a mound or a flat layer on the tank floor. These calculations included mixtures of CST with HLW sludge or loaded Monosodium Titanate (MST) media used for strontium/actinide sorption. The current full-scale design for the CST column includes one central cooling pipe and four outer cooling tubes. Most calculations assumed that the fluid within the column was stagnant (i.e. no buoyancy-induced flow) for a conservative estimate. A primary objective of these calculations was to estimate temperature distributions across packed CST beds immersed in waste supernate or filled with dry air under various accident scenarios. Accident scenarios evaluated included loss of salt solution flow through the bed (a primary heat transfer mechanism), inadvertent column drainage, and loss of active cooling in the column. The calculation results showed that for a wet CST column with active cooling through one central and four outer tubes and 35 C ambient external air, the peak temperature for the fully-loaded column is about 63 C under the loss of fluid flow accident, which is well below the supernate boiling point. The peak temperature for the naturally-cooled (no active, engineered cooling) wet column is 156 C under fully-loaded conditions, exceeding the 130 C boiling point. Under these conditions, supernate boiling would maintain the column temperature near 130 C until all supernate was vaporized. Without active engineered cooling and assuming a dry column suspended in unventilated air at 35 C, the fully-loaded column is expected to rise to a maximum of about 258 C due to the combined loss-of coolant and column drainage accidents. The modeling results demonstrate that the baseline design using one central and four outer cooling tubes provides a highly efficient cooling mechanism for reducing the maximum column temperature. Results for the in-tank modeling calculations clearly indicate that when realistic heat transfer boundary conditions are imposed on the bottom surface of the tank wall, as much as 450 gallons of ground CST (a volume equivalent to two ion exchange processing cycles) in an ideal hemispherical shape (the most conservative geometry) can be placed in the tank without exceeding the 100 C wall temperature limit. Furthermore, in the case of an evenly-distributed flat layer, the tank wall reaches the temperature limit after the ground CST material reaches a height of approximately 8 inches.

Lee, S.

2010-11-01T23:59:59.000Z

432

Industrial Technologies Success Stories - Energy Innovation Portal  

Bookmark Industrial Technologies Success Stories - Energy Innovation Portal on Google; Bookmark Industrial Technologies Success Stories ...

433

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

NLE Websites -- All DOE Office Websites (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

434

Small Column Ion Exchange Technology at Savannah River Site | Department of  

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

Small Column Ion Exchange Technology at Savannah River Site Small Column Ion Exchange Technology at Savannah River Site Small Column Ion Exchange Technology at Savannah River Site The Small Column Ion Exchange (SCIX) system being developed for deployment at the Savannah River Site (SRS) is a supplementary salt waste processing technology that, if implemented, will augment the baseline Salt Waste Processing Facility (SWPF) capability. An opportunity exists to shorten the SRS radioactive waste system lifecycle by 6 years, and significantly reduce life cycle costs, by accelerating salt processing to earlier completion, simultaneous with sludge vitrification. As described in the Enhanced Tank Waste Strategy, which is part of the Department of Energy (DOE) Office of Environmental Management (EM) Roadmap - EM Journey to Excellence,

435

A method for evaluating bias in global measurements of CO2 total columns from space  

E-Print Network (OSTI)

on North American carbon dioxide exchange: CarbonTracker,over Kitt Peak. I – Carbon dioxide and methane from 1979 toD. , and Daube, B. : Carbon dioxide column abundances at the

Wunch, D.

2013-01-01T23:59:59.000Z

436

About Us Nanotechnology News Columns Products Directories Career Center My Account Google Search  

E-Print Network (OSTI)

About Us Nanotechnology News Columns Products Directories Career Center My Account Google Search. Bookmark: The latest news from around the world, FREE Subscribe Ads by Google Teleportation Nanotechnology.fluigent.com Ads by Google Nanotechnology Now - Press Release

Leigh, David A.

437

Usefulness of Single Column Model Diagnosis through Short-Term Predictions  

Science Conference Proceedings (OSTI)

Single column models (SCMs) provide an economical framework for developing and diagnosing representations of diabatic processes in weather and climate models. Their economy is achieved at the price of ignoring interactions with the circulation ...

John W. Bergman; Prashant D. Sardeshmukh

2003-11-01T23:59:59.000Z

438

Test of a Convective Wake Parameterization in the Single-Column Version of CCM3  

Science Conference Proceedings (OSTI)

A convective wake parameterization incorporated into the single-column (SCM) version of the NCAR Community Climate Model CCM3 is tested using observational data from 12 squall line cases to determine whether it can successfully reproduce ...

John J. Rozbicki; George S. Young; Liying Qian

1999-06-01T23:59:59.000Z

439

The Long-Term Coupling between Column Ozone and Tropopause Properties  

Science Conference Proceedings (OSTI)

The observational data of the vertical temperature distribution and column ozone, obtained from 10 main stations in the Northern Hemisphere, are analyzed in order to explore the tropopause variations in conjunction with the dynamical variability ...

Costas Varotsos; Costas Cartalis; Andrew Vlamakis; Chris Tzanis; Iphigenia Keramitsoglou

2004-10-01T23:59:59.000Z

440

Inexpensive Near-IR Sun Photometer for Measuring Total Column Water Vapor  

Science Conference Proceedings (OSTI)

An inexpensive two-channel near-IR sun photometer for measuring total atmospheric column water vapor (precipitable water) has been developed for use by the Global Learning and Observations to Benefit the Environment (GLOBE) environmental science ...

David R. Brooks; Forrest M. Mims III; Richard Roettger

2007-07-01T23:59:59.000Z

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.


441

A Technique for Deriving Column-integrated Water Content Using VAS Split-Window Data  

Science Conference Proceedings (OSTI)

An algorithm is examined that uses Visible?Infrared Spin Scan Radiometer (VISSR) Atmospheric Sounder (VAS) 11- and 12-µm (split-window) data to derive column-integrated water content (IWC) at mesoscale resolution. The algorithm is physically ...

Anthony R. Guillory; Gary J. Jedlovec; Henry E. Fuelberg

1993-07-01T23:59:59.000Z

442

Soft Sensing Based on LS-SVM and Its Application to a Distillation Column  

Science Conference Proceedings (OSTI)

Dry point of aviation kerosene in the atmospheric distillation column is a very important process value for quality controlling. But unfortunately few on-line hardware sensors are available to this value or such sensors are difficult to maintain. This ...

Yafen Li; Qi Li; Huijuan Wang; Ningsheng Ma

2006-10-01T23:59:59.000Z

443

Industrial Energy Procurement Contracts  

E-Print Network (OSTI)

Rates are going down and services are improving! Or are they? As opportunities to directly contract for energy expand from the larger industrials to include mid-market companies, existing energy supply and service contracts will be renegotiated and new ones developed. Many of these mid-level industrial customers typically lack in-house expertise on energy procurement, yet their operations use significant amounts of energy. This paper looks at some of the issues involved in the main terms of a procurement contract, as well as issues in contract formation and termination. Finally the paper reviews some of the recent energy aggregation and outsourcing deals to highlight some that worked and some that didn't.

Thompson, P.; Cooney, K.

2000-04-01T23:59:59.000Z

444

REGULATING HAWAII'S PETROLEUM INDUSTRY  

E-Print Network (OSTI)

This study was prepared in response to House Resolution No. 174, H.D. 2, which was adopted during the Regular Session of 1995. The Resolution requested the Legislative Reference Bureau to conduct a study to obtain the views of selected state agencies and representatives of Hawaii's petroleum industry in order to assist the Legislature in formulating policies that protect the interests of Hawaii's gasoline consumers. The Resolution sought information and the views of survey participants on a broad range of proposals to regulate Hawaii's petroleum industry. This study reviews each of these proposals in terms of their value to consumers, and explores both regulatory policy options and alternatives to regulation available to state lawmakers. The Bureau extends its sincere appreciation to all those whose participation and cooperation made this study possible. A list of contact persons, including the names of survey participants and others who helped to contribute to this study, is contained in Appendix B.

Mark J. Rosen; Wendell K. Kimura

1995-01-01T23:59:59.000Z

445

Coal industry annual 1993  

Science Conference Proceedings (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

446

Coal industry annual 1997  

Science Conference Proceedings (OSTI)

Coal Industry Annual 1997 provides comprehensive information about US coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves. US Coal production for 1997 and previous years is based on the annual survey EIA-7A, Coal Production Report. This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality 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 includes a national total coal consumption for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. 14 figs., 145 tabs.

NONE

1998-12-01T23:59:59.000Z

447

Industrial Facilities | Department of Energy  

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

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

448

Evolution of industrial automation  

Science Conference Proceedings (OSTI)

Automation has been of high priority for the manufacturing sector, from Ford's first set of Model-T Assembly lines in the early 1920s to the modern factory floor. With appropriate automation, the aim was to rationalise the production and keep ... Keywords: Ethernet, architecture, automated manufacturing, bus topology, control servers, distributed control, economies of scale, embedded intelligence, functionality, fuzzy logic, global village, graphic panel, industrial automation, networking, networks

R. Murugesan

2006-03-01T23:59:59.000Z

449

Industrial - Utility Cogeneration Systems  

E-Print Network (OSTI)

Cogeneration may be described as an efficient method for the production of electric power in conjunction with process steam or heat which optimizes the energy supplied as fuel to maximize the energy produced for consumption. In a conventional electric utility power plant, considerable energy is wasted in the form of heat rejection to the atmosphere thru cooling towers, ponds or lakes, or to rivers. In a cogeneration system heat rejection can be minimized by systems which apply the otherwise wasted energy to process systems requiring energy in the form of steam or heat. Texas has a base load of some 75 million pounds per hour of process steam usage, of which a considerable portion could be generated through cogeneration methods. The objective of this paper is to describe the various aspects of cogeneration in a manner which will illustrate the energy saving potential available utilizing proven technology. This paper illustrates the technical and economical benefits of cogeneration in addition to demonstrating the fuel savings per unit of energy required. Specific examples show the feasibility and desirability of cogeneration systems for utility and industrial cases. Consideration of utility-industrial systems as well as industrial-industrial systems will be described in technical arrangement as well as including a discussion of financial approaches and ownership arrangements available to the parties involved. There is a considerable impetus developing for the utilization of coal as the energy source for the production of steam and electricity. In many cases, because of economics and site problems, the central cogeneration facility will be the best alternative for many users.

Harkins, H. L.

1979-01-01T23:59:59.000Z

450

Transforming the Oil Industry into the Energy Industry  

E-Print Network (OSTI)

Transforming the Oil Industry into the Energy Industry BYculprit. It consumes half the oil used in the world andconsuming two thirds of the oil and causing about one third

Sperling, Daniel; Yeh, Sonia

2009-01-01T23:59:59.000Z

451

Industrial Energy Use Indices  

E-Print Network (OSTI)

Energy use indices and associated coefficients of variation are computed for major industry categories for electricity and natural gas use in small and medium-sized plants in the U.S. Standard deviations often exceed the average EUI for an energy type, with coefficients of variation averaging 290% for 8,200 plants from all areas of the continental U.S. Data from milder climates appears more scattered than that from colder climates. For example, the ratio of the average of coefficient of variations for all industry types in warm versus cold regions of the U.S. generally is greater than unity. 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. This analysis uses electricity and natural gas energy consumption and area data of manufacturing plants available in the U.S. Department of Energy’s national Industrial Assessment Center database.

Hanegan, A.; Heffington, W. M.

2007-01-01T23:59:59.000Z

452

NETL: Industrial Capture & Storage  

NLE Websites -- All DOE Office Websites (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.

453

Industrial Applications for Renewable Resources  

Science Conference Proceedings (OSTI)

This CD-ROM contains the PowerPoint presentations from the presenters from Industrial Applications of Renewable Resources: A Conference on Sustainable Technologies. Industrial Applications for Renewable Resources Biofuels and Bioproducts and Biodiesel DV

454

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, resulting in improved competitive performance. The bottom line for Texas industry is savings in energy and materials, cost-effective environmental compliance, increased productivity, reduced waste, and enhanced product quality. The state program leverages the programs and tools of the federal Department of Energy's Industries of the Future. At the federal level, there are nine Industries of the Future: refining, chemicals, aluminum, steel, metal casting, glass, mining, agriculture, and forest products. These industries were selected nationally because they supply over 90% of the U.S. economy's material needs and account for 75% of all energy use by U.S. industry. In Texas, three IOF sectors, chemicals, refining and forest products, account for 86% of the energy used by industry in this state.

Ferland, K.

2002-04-01T23:59:59.000Z

455

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

456

Industry Professional | Open Energy Information  

Open Energy Info (EERE)

Industry Professional Jump to: navigation, search How to GET INVOLVED WITH OpenEI Get involved with OpenEI Programmer.jpg Industry Professional Do you have valuable information...

457

Deaerators in Industrial Steam Systems  

SciTech Connect

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

Not Available

2006-01-01T23:59:59.000Z

458

High Technology and Industrial Systems  

NLE Websites -- All DOE Office Websites (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

459

Partnering Highlights - Industrial Partnerships Office  

Lawrence Livermore National Laboratory (LLNL) is participating in six industry projects for the advancement of energy technologies using high ...

460

Aluminum: Industry of the future  

SciTech Connect

For over a century, the US aluminum industry has led the global market with advances in technology, product development, and marketing. Industry leaders recognize both the opportunities and challenges they face as they head into the 21st century, and that cooperative R and D is key to their success. In a unique partnership, aluminum industry leaders have teamed with the US Department of Energy`s Office of Industrial Technologies (OIT) to focus on innovative technologies that will help to strengthen the competitive position of the US aluminum industry and, at the same time, further important national goals. This industry-led partnership, the Aluminum Industry of the Future, promotes technologies that optimize the use of energy and materials in operations and reduce wastes and energy-related emissions. Led by The Aluminum Association, industry leaders began by developing a unified vision of future market, business, energy, and environmental goals. Their vision document, Partnerships for the Future, articulates a compelling vision for the next 20 years: to maintain and grow the aluminum industry through the manufacture and sale of competitively priced, socially desirable, and ecologically sustainable products. Continued global leadership in materials markets will require the combined resources of industry, universities, and government laboratories. By developing a unified vision, the aluminum industry has provided a framework for the next step in the Industries of the Future process, the development of a technology roadmap designed to facilitate cooperative R and D.

1998-11-01T23:59:59.000Z

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.


461

Recent developments: Industry briefs  

SciTech Connect

The January 1992 Industry Briefs includes brief articles on: (1) the startup of Chinese and Indian nuclear units, (2) agreements between China and Pakistan for the construction of a nuclear unit, (3) international safeguards agreements, (4) restart of a nuclear unit in Armenia, (5) closure of a German nuclear waste site, (6) restructuring of the Hungarian state-owned utility MVMT, (7) requests for bids for Wolsong Units 3 and 4, (8) signing of the European Energy charter, (9) continued operation of the MAGNOX reactors, and (10) changing Canadian requirements on uranium.

NONE

1992-01-01T23:59:59.000Z

462

Coal industry annual 1996  

Science Conference Proceedings (OSTI)

This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and 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 24 million short tons for 1996. 14 figs., 145 tabs.

NONE

1997-11-01T23:59:59.000Z

463

The changing battery industry  

SciTech Connect

This report provides an economic and technological assessment of the electrical battery industry, highlighting major trends. Among those systems considered are lithium-based, sodium-sulfur nickel-zinc, nickel-iron, nickel-hydrogen, zinc-chloride, conductive polymer, and redox cells. Lead-acid, nickel-cadmium, and manganese dioxide-based batteries and direct solar power and fuel cells are discussed in relation to these new techniques. New applications, including electric vehicles, solar power storage, utility load leveling, portable appliances, computer power and memory backup, and medical implants are discussed. Predictions and development scenarios for the next twenty years are provided for the U.S. market.

Not Available

1987-01-01T23:59:59.000Z

464

Recent developments: Industry briefs  

Science Conference Proceedings (OSTI)

This article is the `Industry Briefs` portion of Nuexco`s September 1992 `Recent Developments` section. Specific iems discussed include: (1) merger of Urangesellschaft and Interuran, (2) cessation of uranium mining in Bulgaria, (3) record operation of Limerick-2 and Tokai-2, (4) MRS in Wyoming, (5) low-level waste facilities at Perry, (6) closure of Trojan, (7) restart of Kozloduy-6, (8) agreements between Cogema and Minatom, (9) planning for a large nuclear power plant in Japan moves forward, (10) order of a new reactor at Civaux, (11) relicensing of Yankee Rowe, (12) operation of Bradwell-2, and (13) high-level waste management in Japan.

NONE

1992-09-01T23:59:59.000Z

465

Recent developments: Industry briefs  

Science Conference Proceedings (OSTI)

This article is the `Industry Briefs` portion of Nuexco`s August 2992 `Recent Developments` section. Specific items discussed include: (1) non-proliferation in Argentina and Brazil, (2) a joint-venture uranium leaching project in the USA, (3) life extension for Yankee Rowe, (4) contracts for nuclear plants in the Republic of Korea, (5) cleanup of Wismut, (6) record operation of Three Mile Island-1, Oconee-1, and Cook-1, (7) closure of Kozloduy units, (8) China`s ascension to the non-proliferation treaty, and (9) a centrifuge enrichment facility in Japan.

NONE

1991-08-01T23:59:59.000Z

466

Coal Industry Annual 1995  

SciTech Connect

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.

1996-10-01T23:59:59.000Z

467

The impact of government policies on industrial evolution : the case of China's automotive industry  

E-Print Network (OSTI)

Governmental industrial policies have great influence on industrial performances and development trajectories. The infant industry theory has been the dominating theoretical foundation of the industrial policies in developing ...

Luo, Jianxi

2006-01-01T23:59:59.000Z

468

The "True" Column Density Distribution in Star-Forming Molecular Clouds  

E-Print Network (OSTI)

We use the COMPLETE Survey's observations of the Perseus star-forming region to assess and intercompare three methods for measuring column density in molecular clouds: extinction mapping (NIR); thermal emission mapping (FIR); and mapping the intensity of CO isotopologues. The structures shown by all three tracers are morphologically similar, but important differences exist. Dust-based measures give similar, log-normal, distributions for the full Perseus region, once careful calibration corrections are made. We also compare dust- and gas-based column density distributions for physically-meaningful sub-regions of Perseus, and we find significant variations in the distributions for those regions. Even though we have used 12CO data to estimate excitation temperatures, and we have corrected for opacity, the 13CO maps seem unable to give column distributions that consistently resemble those from dust measures. We have edited out the effects of the shell around the B-star HD 278942. In that shell's interior and in the parts where it overlaps the molecular cloud, there appears to be a dearth of 13CO, likely due either to 13CO not yet having had time to form in this young structure, and/or destruction of 13CO in the molecular cloud. We conclude that the use of either dust or gas measures of column density without extreme attention to calibration and artifacts is more perilous than even experts might normally admit. And, the use of 13CO to trace total column density in detail, even after proper calibration, is unavoidably limited in utility due to threshold, depletion, and opacity effects. If one's main aim is to map column density, then dust extinction seems the best probe. Linear fits amongst column density tracers are given, quantifying the inherent uncertainties in using one tracer (when compared with others). [abridged

Alyssa A. Goodman; Jaime E. Pineda; Scott L. Schnee

2008-06-20T23:59:59.000Z

469

Table HC1-4a. Housing Unit Characteristics by Type of Housing Unit,  

U.S. Energy Information Administration (EIA)

... | | | | Row RSE Column Factor: | 0.5 | 0.5 | 1.5 | 1.3 | 1.9 |Factors ... Q = Data withheld either because the Relative Standard Error ...

470

Table 4  

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

125 69 112 131 137 158 7.36 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

471

Table 4  

Gasoline and Diesel Fuel Update (EIA)

378 913 993 1,130 1,316 1,625 8.24 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

472

S:\\VM3\\RX97\\TBL_LIST.WPD  

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

rather than White, Black, or other. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. * Because of rounding, data may not...

473

Table CE4-7c. Water-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Table CE4-7c. Water-Heating Energy Consumption in U.S. Households by Four Most Populated States, 1997 RSE Column Factor: Total U.S. Four Most Populated States

474

Table CE3-10e. Electric Air-Conditioning Energy Expenditures in U ...  

U.S. Energy Information Administration (EIA)

Table CE3-10e. Electric Air-Conditioning Energy Expenditures in U.S. Households by Midwest Census Region, 2001 RSE Column Factor: Total U.S. Midwest Census Region

475

Table CE1-6.2u. Total Energy Consumption and Expenditures by ...  

U.S. Energy Information Administration (EIA)

Table CE1-6.2u. Total Energy Consumption and Expenditures by Square Feet and Usage Indicators, 2001 Usage Indicators RSE Column Factor: Total End-Use Energy

476

Table E13.2. Electricity: Components of Onsite Generation, 1998  

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

Onsite",,"and",,"Row" "Characteristic(a)","Generation","Cogeneration(b)","Other Biomass)(c)","Other(d)","Factors" ,"Total United States" "RSE Column Factors:",0.9,0.9,1.5,0....

477

Table CE3-4c. Electric Air-Conditioning Energy Consumption in U.S ...  

U.S. Energy Information Administration (EIA)

Table CE3-4c. Electric Air-Conditioning Energy Consumption in U.S. Households by Type of Housing Unit, 2001 RSE Column Factor: Total Type of Housing Unit

478

Table CE2-3e. Space-Heating Energy Expenditures in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Table CE2-3e. Space-Heating Energy Expenditures in U.S. Households by Household Income, 2001 RSE Column Factor: Total 2001 Household Income Below Poverty

479

Table CE2-7e. Space-Heating Energy Expenditures in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Table CE2-7e. Space-Heating Energy Expenditures in U.S. Households by Four Most Populated States, 2001 RSE Column Factor: Total U.S. Four Most Populated States

480

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

Note: This page contains sample records for the topic "industries rse column" from the National Library of EnergyBeta (NLEBeta).
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481

Outlook for Industrial Energy Benchmarking  

E-Print Network (OSTI)

The U.S. Environmental Protection Agency is exploring options to sponsor an industrial energy efficiency benchmarking study to identify facility specific, cost-effective best practices and technologies. Such a study could help develop a common understanding of opportunities for energy efficiency improvements and provide additional information to improve the competitiveness of U.S. industry. The EPA's initial benchmarking efforts will focus on industrial power facilities. The key industries of interest include the most energy intensive industries, such as chemical, pulp and paper, and iron and steel manufacturing.

Hartley, Z.

2000-04-01T23:59:59.000Z

482

NETL: Industrial Capture & Storage  

NLE Websites -- All DOE Office Websites (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.

483

Federal Energy Management Program: Industrial Facilities  

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

Industrial Facilities to someone by E-mail Share Federal Energy Management Program: Industrial Facilities on Facebook Tweet about Federal Energy Management Program: Industrial...

484

Emerging energy-efficient industrial technologies  

E-Print Network (OSTI)

Performance for Industrial Refrigeration Systems. ” M.Sc.the performance of industrial refrigeration systems. SystemIndustrial Technologies Cooling and Storage (Food-4) Refrigeration

2000-01-01T23:59:59.000Z

485

Litigation in Argentina: challenging the tobacco industry.  

E-Print Network (OSTI)

Profits over people: Tobacco Industry Activities to MarketBarnoya J, Glantz S. Tobacco industry success in preventingL. Implications of the tobacco industry documents for public

Flores, M L; Barnoya, J; Mejia, R; Alderete, E; Pérez-Stable, E J

2006-01-01T23:59:59.000Z

486

Emerging energy-efficient technologies for industry  

E-Print Network (OSTI)

Efficient Technologies for Industry Ernst Worrell Staff20036, USA ABSTRACT U.S. industry consumes approximately 37%efficient technologies for industry, focusing on over 50

2004-01-01T23:59:59.000Z

487

NSLS Industrial User Program | Synchrotron Techniques  

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

NSLS Industrial Users' Program Industry Home | Synchrotron Techniques | Battery Lab | Science Highlights | Industrial Program Coordinator | Publications Battery Lab NSLS users are...

488

Industrial Partnerships - Oak Ridge National Laboratory | ORNL  

Industrial Partnerships Overview. ORNL takes great pride in its work with U.S. industry, both large and small. Each year, the Industrial Partnerships team hosts more ...

489

Industrial Energy Efficiency and Climate Change Mitigation  

E-Print Network (OSTI)

and Paper n Other Industries, Electricity Conservation s65% of electricity consumed by industry is used by motorof the main industries include electricity savings. q

Worrell, Ernst

2009-01-01T23:59:59.000Z

490

Case Study of the California Cement Industry  

E-Print Network (OSTI)

2 compares cement industry electricity and natural gas useTable 2. Cement Industry Electricity and Natural GasFigure 2. Cement Industry End Use Electricity Consumption

Coito, Fred; Powell, Frank; Worrell, Ernst; Price, Lynn; Friedmann, Rafael

2005-01-01T23:59:59.000Z

491

Industrial Energy Audit Guidebook: Guidelines for Conducting...  

Open Energy Info (EERE)

Industrial Energy Audit Guidebook: Guidelines for Conducting an Energy Audit in Industrial Facilities Jump to: navigation, search Name Industrial Energy Audit Guidebook: Guidelines...

492

COMPUTATIONAL AND EXPERIMENTAL MODELING OF THREE-PHASE SLURRY-BUBBLE COLUMN REACTOR  

SciTech Connect

Considerable progress has been achieved in understanding three-phase reactors from the point of view of kinetic theory. In a paper in press for publication in Chemical Engineering Science (Wu and Gidaspow, 1999) we have obtained a complete numerical solution of bubble column reactors. In view of the complexity of the simulation a better understanding of the processes using simplified analytical solutions is required. Such analytical solutions are presented in the attached paper, Large Scale Oscillations or Gravity Waves in Risers and Bubbling Beds. This paper presents analytical solutions for bubbling frequencies and standing wave flow patterns. The flow patterns in operating slurry bubble column reactors are not optimum. They involve upflow in the center and downflow at the walls. It may be possible to control flow patterns by proper redistribution of heat exchangers in slurry bubble column reactors. We also believe that the catalyst size in operating slurry bubble column reactors is not optimum. To obtain an optimum size we are following up on the observation of George Cody of Exxon who reported a maximum granular temperature (random particle kinetic energy) for a particle size of 90 microns. The attached paper, Turbulence of Particles in a CFB and Slurry Bubble Columns Using Kinetic Theory, supports George Cody's observations. However, our explanation for the existence of the maximum in granular temperature differs from that proposed by George Cody. Further computer simulations and experiments involving measurements of granular temperature are needed to obtain a sound theoretical explanation for the possible existence of an optimum catalyst size.

Isaac K. Gamwo; Dimitri Gidaspow

1999-09-01T23:59:59.000Z

493

Incorporation of Reaction Kinetics into a Multiphase, Hydrodynamic Model of a Fischer Tropsch Slurry Bubble Column Reactor  

DOE Green Energy (OSTI)

This paper describes the development of a computational multiphase fluid dynamics (CMFD) model of the Fischer Tropsch (FT) process in a Slurry Bubble Column Reactor (SBCR). The CMFD model is fundamentally based which allows it to be applied to different industrial processes and reactor geometries. The NPHASE CMFD solver [1] is used as the robust computational platform. Results from the CMFD model include gas distribution, species concentration profiles, and local temperatures within the SBCR. This type of model can provide valuable information for process design, operations and troubleshooting of FT plants. An ensemble-averaged, turbulent, multi-fluid solution algorithm for the multiphase, reacting flow with heat transfer was employed. Mechanistic models applicable to churn turbulent flow have been developed to provide a fundamentally based closure set for the equations. In this four-field model formulation, two of the fields are used to track the gas phase (i.e., small spherical and large slug/cap bubbles), and the other two fields are used for the liquid and catalyst particles. Reaction kinetics for a cobalt catalyst is based upon values reported in the published literature. An initial, reaction kinetics model has been developed and exercised to demonstrate viability of the overall solution scheme. The model will continue to be developed with improved physics added in stages.

Donna Guillen, PhD; Anastasia Gribik; Daniel Ginosar, PhD; Steven P. Antal, PhD

2008-11-01T23:59:59.000Z

494

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"

495

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)"

496

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"

497

Zoe Industries, Inc.  

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

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

498

ESCO Industry in China  

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

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

499

Zoe Industries, Inc.  

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

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

500

End User Perspective - Industrial  

NLE Websites -- All DOE Office Websites (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