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Note: This page contains sample records for the topic "2a usage indicators" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

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

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

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

2

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

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

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

3

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

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

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

4

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

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

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

5

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

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

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

6

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

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

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

7

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

Gasoline and Diesel Fuel Update (EIA)

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

8

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

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

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

9

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

U.S. Energy Information Administration (EIA)

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

10

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

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

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

11

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

U.S. Energy Information Administration (EIA)

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

12

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

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

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

13

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

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

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

14

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

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

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

15

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

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

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

16

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

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

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

17

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

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

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

18

usage_household2001.pdf  

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

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

19

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

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

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

20

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

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

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

Note: This page contains sample records for the topic "2a usage indicators" 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

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

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

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

22

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

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

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

23

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

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

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

24

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

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

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

25

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

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

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

26

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

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

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

27

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

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

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

28

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

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

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

29

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

DOE Patents (OSTI)

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

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

2012-03-13T23:59:59.000Z

30

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

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

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

31

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

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

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

32

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

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

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

33

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

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

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

34

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

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

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

35

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

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

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

36

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

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

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

37

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

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

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

38

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

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

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

39

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

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

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

40

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

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

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

Note: This page contains sample records for the topic "2a usage indicators" 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

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

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

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

42

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

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

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

43

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

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

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

44

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

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

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

45

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

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

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

46

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

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

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

47

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

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

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

48

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

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

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

49

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

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

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

50

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

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

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

51

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

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

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

52

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

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

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

53

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

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

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

54

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

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

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

55

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

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

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

56

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

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

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

57

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

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

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

58

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

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

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

59

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

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

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

60

"Table HC1.3 Heated Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"  

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

3 Heated Floorspace Usage Indicators, 2005" 3 Heated Floorspace Usage Indicators, 2005" " Million U.S. Housing Units" ,,"Heated Floorspace (square feet)" ,"Housing Units (millions)" ,,"Fewer than 500","500 to 999","1,000 to 1,499","1,500 to 1,999","2,000 to 2,499","2,500 to 2,999","3,000 or More" "Usage Indicators" "Total",111.1,6.1,27.7,26,17.6,10,"7 7.8",11.6 "No Main Space Heating Equipment",1.2,"N","N","N","N","N","N","N" "Have Main Space Heating Equipment",109.8,6.1,27.7,26,17.6,10,"7 7.8",11.6 "Use Main Space Heating Equipment",109.1,6.1,27.7,26,17.6,10,"7 7.8",11.6

Note: This page contains sample records for the topic "2a usage indicators" 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

"Table HC1.4 Cooled Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"  

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

4 Cooled Floorspace Usage Indicators, 2005" 4 Cooled Floorspace Usage Indicators, 2005" " Million U.S. Housing Units" ,,"Cooled Floorspace (square feet)" ,"Housing Units (millions)" ,,"Fewer than 500","500 to 999","1,000 to 1,499","1,500 to 1,999","2,000 to 2,499","2,500 to 2,999","3,000 or More" "Usage Indicators" "Total",111.1,49.2,15.1,15.6,11.1,7,5.2,8 "Have Cooling Equipment",93.3,31.3,15.1,15.6,11.1,7,5.2,8 "Use Cooling Equipment",91.4,30.4,14.6,15.4,11.1,6.9,5.2,7.9 "Have Equipment But Do Not Use it",1.9,1,0.5,"Q","Q","Q","Q","Q" "Do Not Have Cooling Equipment",17.8,17.8,"N","N","N","N","N","N"

62

Usage Demographics 2010  

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

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

63

Brain usage  

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

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

64

Brain Usage  

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

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

65

Usage of Electronic Monograph  

Science Conference Proceedings (OSTI)

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

2013-08-02T23:59:59.000Z

66

Brookhaven Logo Usage  

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

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

67

Context: Usage and Effectiveness  

Science Conference Proceedings (OSTI)

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

2011-12-14T23:59:59.000Z

68

APS LOM Shop Usage  

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

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

69

Adaptive web usage profiling  

Science Conference Proceedings (OSTI)

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

Bhushan Shankar Suryavanshi; Nematollaah Shiri; Sudhir P. Mudur

2005-08-01T23:59:59.000Z

70

Robotics and Energy Usage  

E-Print Network (OSTI)

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

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

1983-01-01T23:59:59.000Z

71

Exemplary Units Markup Language usage  

Science Conference Proceedings (OSTI)

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

72

Automotive materials usage trends  

SciTech Connect

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

Gjostein, N.A.

1986-01-01T23:59:59.000Z

73

Energy Usage | Department of Energy  

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

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

74

Memory Usage Considerations on Franklin  

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

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

75

Usage by Job Size  

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

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

76

Improving energy usage  

SciTech Connect

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

Haage, P.R.

1983-03-01T23:59:59.000Z

77

HPSS Usage Examples at NERSC  

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

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

78

The UCONABC usage control model  

Science Conference Proceedings (OSTI)

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

Jaehong Park; Ravi Sandhu

2004-02-01T23:59:59.000Z

79

step 1: retrieve usage step 2: convert usage  

E-Print Network (OSTI)

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

Paulsson, Johan

80

Energy usage in super markets  

SciTech Connect

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

Gerke, E.

1976-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" 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

Towards Sustainable Material Usage: Investigating Limits to ...  

Science Conference Proceedings (OSTI)

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

82

Resource and Fuels Usage Contacting the Authors  

E-Print Network (OSTI)

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

California at Davis, University of

83

Predicting hourly building energy usage  

SciTech Connect

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

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

1994-06-01T23:59:59.000Z

84

Device for monitoring utility usage  

SciTech Connect

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

Green, R.G.

1993-05-25T23:59:59.000Z

85

NEWTON: Blood Group Systems Usage  

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

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

86

EART 265 Lecture Notes: Energy Energy Usage  

E-Print Network (OSTI)

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

Nimmo, Francis

87

Memory Usage Considerations on Hopper  

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

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

88

Residential Energy Usage by Origin of Householder  

U.S. Energy Information Administration (EIA)

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

89

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

E-Print Network (OSTI)

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

Zhong, Lin

90

Usage analysis and the web of data  

Science Conference Proceedings (OSTI)

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

Bettina Berendt; Laura Hollink; Vera Hollink; Markus Luczak-Rösch; Knud Möller; David Vallet

2011-05-01T23:59:59.000Z

91

Detecting and analyzing insecure component usage  

Science Conference Proceedings (OSTI)

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

Taeho Kwon; Zhendong Su

2012-11-01T23:59:59.000Z

92

General Guidance on Data Usage and Management  

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

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

93

ERP Usage in Practice: An Empirical Investigation  

Science Conference Proceedings (OSTI)

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

Mary C. Jones; Randall Young

2006-01-01T23:59:59.000Z

94

Material impacts on operational energy usage  

E-Print Network (OSTI)

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

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

2011-01-01T23:59:59.000Z

95

Microsoft Word - Epoxy Usage Form.docx  

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

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

96

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

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

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

97

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

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

98

CNST NanoFab Facility User Computer Security and Usage ...  

Science Conference Proceedings (OSTI)

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

2013-07-31T23:59:59.000Z

99

arXiv.org help - arXiv usage statistics  

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

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

100

How Usage is Charged at NERSC  

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

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

Note: This page contains sample records for the topic "2a usage indicators" 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

Automobile usage patterns. Highlight report. Volume XIV  

SciTech Connect

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

Rappeport, M.; Labaw, P.

1975-09-01T23:59:59.000Z

102

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

SciTech Connect

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

Sonnichsen, J.C. Jr.

1980-02-01T23:59:59.000Z

103

CloudMonitor: Profiling Power Usage  

E-Print Network (OSTI)

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

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

2012-01-01T23:59:59.000Z

104

Reducing the Energy Usage of Office Applications  

E-Print Network (OSTI)

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

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

2001-01-01T23:59:59.000Z

105

Identifying diverse usage behaviors of smartphone apps  

Science Conference Proceedings (OSTI)

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

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

2011-11-01T23:59:59.000Z

106

Climate Indices  

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

Indices Indices Climate Indices Climate indices are diagnostic tools used to describe the state of the climate system and monitor climate. They are most often represented with a time series, where each point in time corresponds to one index value. An index can be constructed to describe almost any atmospheric event; as such, they are myriad. Therefore, CDIAC provides these links to other web sites to help guide users to the most widely used climate indices, which in many cases are updated monthly. Data Set Website/Name NOAA's Climate Prediction Center, Monitoring and Data Index Page NOAA's Earth Systems Research Laboratory, Monthly Atmospheric and Ocean Time Series Page (plot, analyze, and compare time series) The Monthly Teleconnection Indices Page from NOAA's National

107

Energy usage of rotating biological contractor facilities  

SciTech Connect

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

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

1986-01-01T23:59:59.000Z

108

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

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

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

109

Soy Protein ProductsChapter 7 Regulations Regarding Usage  

Science Conference Proceedings (OSTI)

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

110

New energy usage patterns in manufacturing  

SciTech Connect

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

Hauser, L.G.

1976-01-01T23:59:59.000Z

111

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

Science Conference Proceedings (OSTI)

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

2011-03-01T23:59:59.000Z

112

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network (OSTI)

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

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

113

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

114

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

E-Print Network (OSTI)

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

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

1996-01-01T23:59:59.000Z

115

Federal Water Use Indices | Department of Energy  

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

Federal Water Use Indices Federal Water Use Indices Federal Water Use Indices FEMP provides water use indices as a guide for Federal agencies. Note that each is a rough estimate of water usage at different types of sites. Your site may vary considerably. The following indices should be used only to assist in determining baseline data when no other information is available on site water usage. Conversion factors for the Federal water use indices are also available. Source: American Water Works Association 1996. Data represents gallons per unit per day. Commercial User Unit Range Typical Airport Passenger 4-5 3 Apartment house Person 100-200 100 Boarding house Person 25-50 40 Hotel Guest 40-60 50 Employee 8-13 10 Lodging house and tourist home Guest 30-50 40 Motel Guest 25-40 35

116

The REDTI and MSI: Two New National Climate Impact Indices  

Science Conference Proceedings (OSTI)

Two climate indices that are useful for monitoring the impact of weather and climate on energy usage and crop yields in the United States have been developed at the National Climatic Data Center. The residential energy-demand temperature index (...

Richard R. Heim Jr.; Jay H. Lawrimore; David B. Wuertz; Anne M. Waple; Trevor W. R. Wallis

2003-10-01T23:59:59.000Z

117

An assessment of worldwide supercomputer usage  

SciTech Connect

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

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

1995-01-01T23:59:59.000Z

118

Reducing Energy Usage in Extractive Distillation  

E-Print Network (OSTI)

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

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

1985-05-01T23:59:59.000Z

119

Crime Indicators  

E-Print Network (OSTI)

data collection efforts are used to gauge the problem of crime in America. These two data series are intended to measure different aspects of crime, but this point is often lost in the front-page headline summaries of whether crime is “up,” “down, ” or about the same. Confusion regarding the two crime indicators is exacerbated when the two data series show substantially different trends, as was the case with the most recent release of data in 2001. For this column, we asked Michael Rand and Callie Rennison of the U.S. Bureau of Justice Statistics to describe the two national crime indicators and their differences. Their article clearly describes the distinct approaches to measuring crime used by these two data series, and provides a strong justification for maintaining these two approaches to address very distinct policy needs. Just a thought... A previous Window on Washington column from summer 1998 discussed the U.S. Census Bureau’s Small-Area Income and Poverty Estimates Program, which used administrative records and census data in conjunction with Current Population Survey estimates to produce modelbased small-area estimates that incorporated information from all these sources. It would be interesting to see if a similar approach might be used to provide small-area estimates of violent crime, possibly by fitting a regression model to the National Crime Victimization Survey data, using the Uniform Crime Reports and other data as explanatory variables. Such approaches to combine information from the two national crime indicators—continuing efforts to refine inferences from two frequently confused data series—are interesting possibilities for future research.

Daniel Cork; Michael Cohen; Michael R. R; Callie M. Rennison

2001-01-01T23:59:59.000Z

120

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

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

Note: This page contains sample records for the topic "2a usage indicators" 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

Cleaning optimization for reduced chemical usage  

SciTech Connect

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

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

1996-11-01T23:59:59.000Z

122

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

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

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

123

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

Annual Energy Outlook 2012 (EIA)

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

124

POWER PLANT WATER USAGE AND LOSS STUDY - Final  

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

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

125

Child Care Availability and Usage Among Welfare Recipients  

E-Print Network (OSTI)

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

Houston, Douglas; Ong, Paul M.

2003-01-01T23:59:59.000Z

126

NANOFAB TOOL USAGE RATES Effective 1/1/13  

Science Conference Proceedings (OSTI)

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

2013-07-18T23:59:59.000Z

127

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

E-Print Network (OSTI)

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

Johnston, Daniel

128

"Table HC4.12 Home Electronics Usage Indicators by Renter-Occupied...  

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

1,"Q","Q","Q","Q","Q","N" "Monitor is Turned Off",0.5,"Q","Q","Q","Q","Q","N" "Use of Internet" "Have Access to Internet" "Yes",66.9,14.2,4,1.3,2.1,6.6,"Q" "Dial-up...

129

"Table HC10.12 Home Electronics Usage Indicators by U.S. Census...  

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

Sleep Mode",1,"Q",0.3,0.4,0.3 "Monitor is Turned Off",0.5,"Q","Q","Q","Q" "Use of Internet" "Have Access to Internet" "Yes",66.9,12.3,15.3,23.3,16 "Dial-up...

130

"Table HC7.12 Home Electronics Usage Indicators by Household...  

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

",0.3,"Q",0.5,"Q","Q" "Monitor is Turned Off",0.5,"N","Q","Q","Q","Q","N","Q" "Use of Internet" "Have Access to Internet" "Yes",66.9,7.2,15.1,14.6,10.4,19.6,4.9,14 "Dial-up...

131

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

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

Sleep Mode",1,0.3,"Q",0.3,0.3 "Monitor is Turned Off",0.5,"Q","Q","Q","Q" "Use of Internet" "Have Access to Internet" "Yes",66.9,26.6,11,16.7,12.6 "Dial-up...

132

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

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

"Automatic Sleep Mode",1,0.3,"Q","Q" "Monitor is Turned Off",0.5,"Q","Q","Q" "Use of Internet" "Have Access to Internet" "Yes",66.9,16,4.7,11.3 "Dial-up (phone)",26.8,5.4,1.8,3.6...

133

"Table HC15.12 Home Electronics Usage Indicators by Four Most...  

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

Sleep Mode",1,"N","Q","Q","Q" "Monitor is Turned Off",0.5,"N","Q","Q","Q" "Use of Internet" "Have Access to Internet" "Yes",66.9,3.7,4.5,4.8,8.2 "Dial-up (phone)",26.8,1.2,1.7,...

134

"Table HC12.12 Home Electronics Usage Indicators by Midwest...  

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

"Automatic Sleep Mode",1,0.3,"Q","Q" "Monitor is Turned Off",0.5,"Q","Q","Q" "Use of Internet" "Have Access to Internet" "Yes",66.9,15.3,10.5,4.8 "Dial-up (phone)",26.8,6.9,4.6,2....

135

"Table HC11.12 Home Electronics Usage Indicators by Northeast...  

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

"Automatic Sleep Mode",1,"Q","Q","Q" "Monitor is Turned Off",0.5,"Q","Q","N" "Use of Internet" "Have Access to Internet" "Yes",66.9,12.3,8.9,3.5 "Dial-up (phone)",26.8,4.3,3.2,1.1...

136

"Table HC3.12 Home Electronics Usage Indicators by Owner-Occupied...  

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

1,0.9,0.8,"Q","Q","N","Q" "Monitor is Turned Off",0.5,0.3,0.3,"N","N","N","N" "Use of Internet" "Have Access to Internet" "Yes",66.9,52.6,44.8,2.8,1.2,1.4,2.5 "Dial-up...

137

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

U.S. Energy Information Administration (EIA)

Total U.S. Housing Units..... 111.1 20.6 25.6 40.7 24.2 Indoor Lights Turned On During Summer Number of Lights Turned On

138

Table HC15.7 Air-Conditioning Usage Indicators by Four Most...  

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

New York Florida Texas California Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC15.7...

139

"Table HC4.13 Lighting Usage Indicators by Renter-Occupied Housing...  

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

and End Use, Forms EIA-457 A, B, C of the 2005 Residential Energy Consumption Survey. " " Energy Information Administration 2005 Residential Consumption Survey: Preliminary Housing...

140

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

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

areas, determined according to the 30-year average (1971-2000) of the annual heating and cooling degree-days. A household is assigned to a climate zone according to the 30-year...

Note: This page contains sample records for the topic "2a usage indicators" 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

"Table HC9.5 Space Heating Usage Indicators by Climate Zone...  

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

areas, determined according to the 30-year average (1971-2000) of the annual heating and cooling degree-days. A household is assigned to a climate zone according to the 30-year...

142

Table HC15.10 Home Appliances Usage Indicators by Four Most...  

Gasoline and Diesel Fuel Update (EIA)

Used at All... 2.9 Q Q Q 0.3 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

143

Table HC6.10 Home Appliances Usage Indicators by Number of ...  

U.S. Energy Information Administration (EIA)

Use Battery-Operated Appliances/Tools..... 54.9 9.9 20.4 9.8 9.0 5.8 Plugged in All the Time..... 10.0 1.8 4.0 1.8 1.6 0.9 Recharged as Needed ...

144

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

U.S. Energy Information Administration (EIA)

Use Battery-Operated Appliances/Tools..... 54.9 6.3 12.3 13.4 11.9 11.0 Plugged in All the Time..... 10.0 0.7 2.1 2.7 2.2 2.4 Recharged as Needed ...

145

"Table HC15.10 Home Appliances Usage Indicators by Four Most...  

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

3,12.3,0.4,1.2,1,0.9 "4 or More",25.8,0.7,2.7,3.2,1.9 "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,1.1,0.9,0.9,2.1 "Used Quite a Bit",16.2,1,1.1,1.2,1.7 "Used...

146

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

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

3,12.3,1.8,3.4,5.3,1.8 "4 or More",25.8,2.8,6.1,13.2,3.8 "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,3.5,4.9,6,4.4 "Used Quite a Bit",16.2,3.1,4.1,5.8,3.2 "Used...

147

"Table HC12.10 Home Appliances Usage Indicators by Midwest Census...  

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

3,12.3,3.4,2.3,1.1 "4 or More",25.8,6.1,3.7,2.3 "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,4.9,3.4,1.5 "Used Quite a Bit",16.2,4.1,3,1.1 "Used Only a Few...

148

"Table HC7.10 Home Appliances Usage Indicators by Household...  

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

"4 or More",25.8,2.8,5.8,5.5,3.8,7.9,1.4,5.1 "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,4.2,4.9,4.1,2.1,3.4,2.4,6.3 "Used Quite a Bit",16.2,3.4,3.8,3.3...

149

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

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

3,12.3,5,2.1,2.6,2.6 "4 or More",25.8,8.6,4.7,6.7,5.8 "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,7.1,3.2,4.3,4.1 "Used Quite a Bit",16.2,6.3,2.8,3.4,3.7 "Used...

150

Table HC6.10 Home Appliances Usage Indicators by Number of Household...  

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

... 25.8 4.1 9.3 4.7 4.5 3.2 Use of Most-Used Ceiling Fan Used All Summer... 18.7 4.7 6.0 2.9 2.9...

151

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

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

3,12.3,1.8,0.7,1.1 "4 or More",25.8,3.8,1.6,2.2 "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,4.4,1.4,2.9 "Used Quite a Bit",16.2,3.2,1,2.2 "Used Only a Few...

152

"Table HC4.10 Home Appliances Usage Indicators by Renter-Occupied...  

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

1,1.1,"Q",0.4,0.5,"Q" "4 or More",25.8,2.1,1.6,"Q","Q","Q","N" "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,4.1,1.1,"Q",0.9,1.7,"Q" "Used Quite a Bit",16.2,3.2,1,0.4,0.5,1...

153

"Table HC9.10 Home Appliances Usage Indicators by Climate Zone...  

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

3,12.3,1.3,2.7,2.9,2.2,3.2 "4 or More",25.8,1.4,5,4.8,5.7,8.9 "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,2.3,4.6,4.9,4.3,2.6 "Used Quite a Bit",16.2,2,4.1,3.3,3.4,3.4...

154

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

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

3,12.3,5.3,2.7,1,1.6 "4 or More",25.8,13.2,6.2,2.3,4.7 "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,6,3.6,1,1.3 "Used Quite a Bit",16.2,5.8,3.2,0.9,1.6 "Used Only...

155

"Table HC3.10 Home Appliances Usage Indicators by Owner-Occupied...  

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

"4 or More",25.8,23.7,22.1,0.6,"Q","Q",0.6 "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,14.7,12.3,0.8,"Q",0.3,1 "Used Quite a Bit",16.2,13,11.1,0.7,0.4...

156

"Table HC11.10 Home Appliances Usage Indicators by Northeast...  

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

3,12.3,1.8,1.3,0.5 "4 or More",25.8,2.8,2.3,0.5 "Use of Most-Used Ceiling Fan" "Used All Summer",18.7,3.5,2.6,0.9 "Used Quite a Bit",16.2,3.1,2.4,0.7 "Used Only a...

157

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

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

"Quite a Bit",12.6,1.2,4.5,4.5,2.4 "All Summer",40.5,3,8.8,24.8,3.9 "At Home Behavior" "Home Used for Business" "Yes",6.4,0.6,1.7,2.8,1.4 "No",59.5,5.4,15.6,29.4,9....

158

"Table HC11.7 Air-Conditioning Usage Indicators by Northeast...  

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

Needed",11.4,1.6,1.4,0.3 "Quite a Bit",12.6,1.2,1.1,0.1 "All Summer",40.5,3,2.6,0.3 "At Home Behavior" "Home Used for Business" "Yes",6.4,0.6,0.5,"Q" "No",59.5,5.4,4.7,0.7 "Someone...

159

"Table HC15.7 Air-Conditioning Usage Indicators by Four Most...  

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

"Quite a Bit",12.6,0.3,0.5,0.9,1.3 "All Summer",40.5,0.4,5.7,5.2,1.2 "At Home Behavior" "Home Used for Business" "Yes",6.4,"Q",0.7,0.4,0.6 "No",59.5,1,5.8,6,4.9...

160

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

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

"Quite a Bit",12.6,4.5,2.5,0.8,1.2 "All Summer",40.5,24.8,13.4,3.8,7.6 "At Home Behavior" "Home Used for Business" "Yes",6.4,2.8,1.8,0.4,0.6 "No",59.5,29.4,15.8,4.8,8....

Note: This page contains sample records for the topic "2a usage indicators" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

"Table HC14.7 Air-Conditioning Usage Indicators by West Census...  

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

eded",11.4,3.4,0.7,2.7 "Quite a Bit",12.6,2.4,0.8,1.6 "All Summer",40.5,3.9,2.4,1.5 "At Home Behavior" "Home Used for Business" "Yes",6.4,1.4,0.6,0.8 "No",59.5,9.1,3.3,5.8 "Someone...

162

"Table HC4.7 Air-Conditioning Usage Indicators by Renter-Occupied...  

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

a Bit",12.6,2.9,0.5,0.4,0.3,1.6,"Q" "All Summer",40.5,8.1,2.6,0.7,1.2,3.3,0.3 "At Home Behavior" "Home Used for Business" "Yes",6.4,0.7,"Q","N","Q",0.3,"N"...

163

"Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census...  

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

eded",11.4,3.9,2.8,1.1 "Quite a Bit",12.6,4.5,3.1,1.4 "All Summer",40.5,8.8,5.4,3.4 "At Home Behavior" "Home Used for Business" "Yes",6.4,1.7,1,0.7 "No",59.5,15.6,10.3,5.3 "Someone...

164

"Table HC3.7 Air-Conditioning Usage Indicators by Owner-Occupied...  

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

"Quite a Bit",12.6,9.7,8.2,0.5,"Q","Q",0.6 "All Summer",40.5,32.3,28.1,1,0.4,0.9,2 "At Home Behavior" "Home Used for Business" "Yes",6.4,5.7,5.1,"Q","Q","Q","Q"...

165

Table HC2.5 Space Heating Usage Indicators by Type of Housing Unit ...  

U.S. Energy Information Administration (EIA)

No Insulation..... 1.4 0.8 0.2 0.2 Q Don't Know..... 1.7 1.0 0.5 Q Q Home is Too Drafty During the Winter Never ...

166

Table HC6-1a. Usage Indicators by Climate Zone, | | | 1 | | |  

U.S. Energy Information Administration (EIA)

Adequacy of Insulation | Well Insulated..... 42.6 3.8 12.3 10.3 7.2 9.1 | 8.9 Adequately Insulated ...

167

Table HC6-7a. Usage Indicators by Four Most Populated States ...  

U.S. Energy Information Administration (EIA)

No Insulation ... Use a Central System..... 58.6 1.3 4.5 6.2 5.9 | 6.3 All Summer ... Cold..... 28.2 1.2 ...

168

Table HC2.7 Air Conditioning Usage Indicators by Type of ...  

U.S. Energy Information Administration (EIA)

Apartments in Buildings Housing With--Units (millions) Single-Family Units Detached Type of Housing Unit ... Adequacy of Insulation Well Insulated ...

169

Usage derived recommendations for a video digital library  

Science Conference Proceedings (OSTI)

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

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

2007-08-01T23:59:59.000Z

170

Towards appliance usage prediction for home energy management  

Science Conference Proceedings (OSTI)

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

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

2013-01-01T23:59:59.000Z

171

A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES  

E-Print Network (OSTI)

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

Idaho, University of

172

Cloud resource usage: extreme distributions invalidating traditional capacity planning models  

Science Conference Proceedings (OSTI)

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

Charles Z. Loboz

2011-06-01T23:59:59.000Z

173

Residential energy usage comparison project: An overview  

SciTech Connect

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

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

1990-10-01T23:59:59.000Z

174

POWER PLANT WATER USAGE AND LOSS STUDY - Final  

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

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

175

Exploring Sense of Place Attitudes as Indicators of Travel Behavior  

E-Print Network (OSTI)

significant in explaining car usage, as expected, positivenegatively towards car usage, and possessing an indifferent

Deutsch, Kate; Goulias, Kostas

2009-01-01T23:59:59.000Z

176

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

E-Print Network (OSTI)

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

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

177

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

178

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

E-Print Network (OSTI)

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

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

1995-01-01T23:59:59.000Z

179

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

180

Energy Usage Information: Lessons from the Credit Reporting Industry.  

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

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

Note: This page contains sample records for the topic "2a usage indicators" 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

Memory Usage Inference for Object-Oriented Programs  

E-Print Network (OSTI)

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

Nguyen, Huu Hai

182

People are Strange: Current Behavioral Insights into Energy Usage  

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

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

183

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

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

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

184

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

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

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

185

Usage of Appliances in U - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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

186

UC Libraries Academic e-Book Usage Survey  

E-Print Network (OSTI)

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

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

2011-01-01T23:59:59.000Z

187

RECS Propane Usage Form_v1 (Draft).xps  

Gasoline and Diesel Fuel Update (EIA)

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

188

FATIGUEPRO: On-Line Fatigue Usage Transient Monitoring System  

Science Conference Proceedings (OSTI)

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

1988-05-01T23:59:59.000Z

189

NanoFab User Facility Usage Fee Schedule  

Science Conference Proceedings (OSTI)

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

190

Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas  

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

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

191

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

192

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

193

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network (OSTI)

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

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

194

Multiple uses of indicators and indices in cumulative effects assessment and management  

SciTech Connect

Both environmental indicators and multi-metric indices are useful for describing baseline conditions and qualitatively predicting the cumulative consequences of multiple actions. Several examples and case studies associated with indicators and/or indices are presented herein. They can be easily modified for usage in CEAM. Habitat suitability models reflect special indices related to habitat needs and quality for specific species or broad habitat types. Such models have been used to address direct and indirect effects, and with some modification, they can be also used to address cumulative effects of multiple actions. This review has indicated that there are numerous examples of such tools which have been or could be used in both EIA and CEAM. Some key lessons are: (1) in conducting CEAM studies, it is useful to think from the mindset that 'I am the VEC or indicator, and what is my historical and current condition and how have I, or will I, be affected by multiple past, present, and future actions?'; (2) due to the likely absence of detailed information on future actions, the described tools can still be used to 'predict' future conditions by focusing on qualitative up-or-down changes in individual indicators or indices with their aggregated displays; and (3) numerous regional and site-specific tools are currently available, with one example being indices of biological integrity for specific watersheds and water bodies. Such tools, even though they may not have been developed for CEAM usage, can certainly benefit CEAM studies and practice. Finally, usage of selected and appropriate tools as described herein can aid in conducting science-based, systematic, and documentable CEAM studies.

Canter, L.W., E-mail: envimptr@aol.com [University of Oklahoma and Environmental Impact Training, Horseshoe Bay, TX (United States); Atkinson, S.F. [Institute of Applied Science, University of North Texas, Denton, TX (United States)

2011-09-15T23:59:59.000Z

195

2011 Radioactive Materials Usage Survey for Unmonitored Point Sources  

SciTech Connect

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

Sturgeon, Richard W. [Los Alamos National Laboratory

2012-06-27T23:59:59.000Z

196

2011 Radioactive Materials Usage Survey for Unmonitored Point Sources  

SciTech Connect

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

Sturgeon, Richard W. [Los Alamos National Laboratory

2012-06-27T23:59:59.000Z

197

DEVELOPMENT OF A WIRELINE CPT SYSTEM FOR MULTIPLE TOOL USAGE  

SciTech Connect

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

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

1999-08-01T23:59:59.000Z

198

Associating Internet usage with depressive behavior among college students  

E-Print Network (OSTI)

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

Raghavendra Kotikalapudi; Frances Montgomery; Donald Wunsch

2012-01-01T23:59:59.000Z

199

MESUR: USAGE-BASED METRICS OF SCHOLARLY IMPACT  

SciTech Connect

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

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

2007-01-30T23:59:59.000Z

200

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

Science Conference Proceedings (OSTI)

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

Robert Cooley

2003-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" 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

Potentials and limits of secondary spectrum usage by CDMA base stations  

Science Conference Proceedings (OSTI)

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

Eun-Hee Shin; Dongwoo Kim

2009-01-01T23:59:59.000Z

202

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

Science Conference Proceedings (OSTI)

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

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

2007-06-01T23:59:59.000Z

203

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

Open Energy Info (EERE)

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

204

APS Guideline for Hand Tool and Portable Power Tool Usage  

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

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

205

Ethanol Usage in Urban Public Transportation - Presentation of Results |  

Open Energy Info (EERE)

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

206

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

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

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

207

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

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

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

208

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

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

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

209

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

Science Conference Proceedings (OSTI)

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

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

2013-01-01T23:59:59.000Z

210

Traffic characterization and internet usage in rural Africa  

Science Conference Proceedings (OSTI)

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

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

2011-03-01T23:59:59.000Z

211

Editorial Style Guide: Word List and General Usage  

Science Conference Proceedings (OSTI)

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

1998-08-17T23:59:59.000Z

212

Security Implications of Typical Grid Computing Usage Scenarios  

Science Conference Proceedings (OSTI)

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

Marty Humphrey; Mary R. Thompson

2002-07-01T23:59:59.000Z

213

Identifying and Testing the Inhibitors of Technology Usage Intentions  

Science Conference Proceedings (OSTI)

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

Ronald T. Cenfetelli; Andrew Schwarz

2011-12-01T23:59:59.000Z

214

Exploiting Service Usage Information for Optimizing Server Resource Management  

Science Conference Proceedings (OSTI)

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

Alexander Totok; Vijay Karamcheti

2011-07-01T23:59:59.000Z

215

Fuel bundle design for enhanced usage of plutonium fuel  

DOE Patents (OSTI)

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

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

1995-01-01T23:59:59.000Z

216

Designation of facility usage categories for Hanford Site facilities  

SciTech Connect

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

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

1991-10-01T23:59:59.000Z

217

Resource usage analysis for a functional language with exceptions  

Science Conference Proceedings (OSTI)

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

Futoshi Iwama; Atsushi Igarashi; Naoki Kobayashi

2006-01-01T23:59:59.000Z

218

Forecasting multi-appliance usage for smart home energy management  

Science Conference Proceedings (OSTI)

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

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

2013-08-01T23:59:59.000Z

219

Determine Vehicle Usage and Refueling Trends to Minimize Greenhouse Gas  

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

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

220

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" 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

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

E-Print Network (OSTI)

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

Gaustad, Gabrielle G

2009-01-01T23:59:59.000Z

222

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

SciTech Connect

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

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

1994-12-01T23:59:59.000Z

223

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

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

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

224

Fuel bundle design for enhanced usage of plutonium fuel  

DOE Patents (OSTI)

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

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

1995-08-08T23:59:59.000Z

225

Red Storm usage model :Version 1.12.  

Science Conference Proceedings (OSTI)

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

Jefferson, Karen L.; Sturtevant, Judith E.

2005-12-01T23:59:59.000Z

226

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

E-Print Network (OSTI)

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

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

227

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

E-Print Network (OSTI)

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

Aronov, Boris

228

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

Science Conference Proceedings (OSTI)

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

Anindya Ghose; Sang Pil Han

2011-09-01T23:59:59.000Z

229

Leveraging usage similarity for effective retrieval of examples in code repositories  

Science Conference Proceedings (OSTI)

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

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

2010-11-01T23:59:59.000Z

230

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

Science Conference Proceedings (OSTI)

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

Katrin Arning; Sylvia Gaul; Martina Ziefle

2010-11-01T23:59:59.000Z

231

HPC Usage Behavior Analysis and Performance Estimation with Machine Learning Techniques  

Science Conference Proceedings (OSTI)

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

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

2012-01-01T23:59:59.000Z

232

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

SciTech Connect

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

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

2007-01-30T23:59:59.000Z

233

Thermal indicator for wells  

DOE Patents (OSTI)

Minute durable plate-like thermal indicators are employed for precision measuring static and dynamic temperatures of well drilling fluids. The indicators are small enough and sufficiently durable to be circulated in the well with drilling fluids during the drilling operation. The indicators include a heat resistant indicating layer, a coacting meltable solid component and a retainer body which serves to unitize each indicator and which may carry permanent indicator identifying indicia. The indicators are recovered from the drilling fluid at ground level by known techniques.

Gaven, Jr., Joseph V. (Oakton, VA); Bak, Chan S. (Newbury Park, CA)

1983-01-01T23:59:59.000Z

234

FPGA curved track fitter with very low resource usage  

SciTech Connect

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

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

2006-11-01T23:59:59.000Z

235

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

SciTech Connect

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

1972-07-14T23:59:59.000Z

236

Use of nanofiltration to reduce cooling tower water usage.  

SciTech Connect

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

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

2010-09-01T23:59:59.000Z

237

Alternative Solar Indices  

SciTech Connect

Possible alternative Solar Indices which could either be a perturbation from the currently defined Solar Index or possible indices based on current technologies for other media markets are discussed. An overview is given of the current project, including the logic that was utilized in defining its current structure and then alternative indices and definitions are presented and finally, recommendations are made for adopting alternative indices.

Lantz, L.J.

1980-07-01T23:59:59.000Z

238

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

E-Print Network (OSTI)

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

239

file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-12a  

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

2a. Usage Indicators by West Census Region, 2a. Usage Indicators by West Census Region, Million U.S. Households, 2001 ____________________________________________________________________________________________ | | | | | West Census Region | | |___________________________________| | | | | | | | Census Division | | | |_______________________|

240

MAXIMUM HUMIDITY INDICATOR  

SciTech Connect

Moisture-sensitive systems to measure and indicate the maximum level of humidity exposure are discussed. A chemical indicator utilizing deliquescent salts and water-soluble dyes provides an irreversible color change at discrete levels of relative humidity. To provide indication of the time at which the exposure occurs, a circuit employing a resistive-type sensor was developed. A small, commercially available sensor is used in a portable probe to detect humidity leaks into controlled areas.

Abel, W B

1974-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" 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

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

SciTech Connect

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

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

2008-01-01T23:59:59.000Z

242

Department of Energy Federal Acquisition Regulation Clause Usage Guide  

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

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

243

Security Implications of Typical Grid Computing Usage Scenarios  

SciTech Connect

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

Humphrey, Marty; Thompson, Mary R.

2001-06-05T23:59:59.000Z

244

Trends in Building Energy Usage in Texas State Agencies  

E-Print Network (OSTI)

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

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

1985-01-01T23:59:59.000Z

245

Commercial Building HVAC Energy Usage in Semi-Tropical Climates  

E-Print Network (OSTI)

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

Worbs, H. E.

1987-01-01T23:59:59.000Z

246

Comparison of Bandwidth Usage: Service Location Protocol and Jini  

E-Print Network (OSTI)

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

Javier Govea; Michel Barbeau

2000-01-01T23:59:59.000Z

247

Performance indicators - TMS  

Science Conference Proceedings (OSTI)

Feb 17, 2009 ... Low energy consumption (MWh/t) ... 1) Define individual performance indicators. 2) Develop .... Required to face Alma high intensity low energy ...

248

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

E-Print Network (OSTI)

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

Cooper, Matthew L.

2011-01-01T23:59:59.000Z

249

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

E-Print Network (OSTI)

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

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

250

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

E-Print Network (OSTI)

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

Fodrie, Fredrick Joel; Mendoza, Guillermo F.

2006-01-01T23:59:59.000Z

251

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

252

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

Science Conference Proceedings (OSTI)

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

253

Git usage — FiPy 3.0.1-dev157-g518df83 documentation  

Science Conference Proceedings (OSTI)

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

2013-08-30T23:59:59.000Z

254

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

255

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

E-Print Network (OSTI)

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

Lu, Bin

2006-01-01T23:59:59.000Z

256

Photomultiplier tube saturation indicator  

DOE Patents (OSTI)

A photomultiplier tube saturation indicator is formed by supplying a supplemental light source, typically a light emitting diode (LED), adjacent to the photomultiplier tube. A switch allows the light source to be activated. The light is forwarded to the photomultiplier tube by an optical fiber. If the probe is properly light tight, then a meter attached to the indicator will register the light from the LED. If the probe is no longer light tight, and the saturation indicator is saturated, no signal will be registered when the LED is activated. This photomultiplier tube is used with alpha contamination probes.

Ruch, J.F.; Urban, D.J.

1995-12-31T23:59:59.000Z

257

Battery condition indicator  

SciTech Connect

A battery condition indicator is described for indicating both the charge used and the life remaining in a rechargeable battery comprising: rate multiplying and counting means for indirectly measuring the charge useed by the battery between charges; means for supplying variable rate clock pulse to the rate multiplying and counting means, the rate of the clock pulses being a function of whether a high current consumption load is connected to the battery or not; timing means for measuring the total time in service of the battery; charge used display means responsive to the rate multiplying and counting means for providing an indication of the charge remaining in the battery; and age display means responsive to the timing means for providing an indication of the life or age of the battery.

Fernandez, E.A.

1987-01-20T23:59:59.000Z

258

Vehicle battery polarity indicator  

SciTech Connect

Battery jumper cables provide an effective means to connect a charged battery to a discharged battery. However, the electrodes of the batteries must be properly connected for charging to occur and to avoid damage to the batteries. A battery polarity indicator is interposed between a set of battery jumper cables to provide a visual/aural indication of relative battery polarity as well as a safety circuit to prevent electrical connection where polarities are reversed.

Cole, L.

1980-08-12T23:59:59.000Z

259

Irreversible humidity indicator  

SciTech Connect

This patent relates to a humidity indicator having particles of colored dye distributed over the surface of a dry, deliquescent salt of a neutral color. When exposed to a humidity level above that which causes deliquescence of the salt, the dye bleeds through and imparts its developed tincture to the resulting saturated salt solution. On dehydration, the dye remains infused throughout the dried salt to present an irreversible indication of the humidity exposure. (auth)

Reif, R.B.; Kurz, P.F.

1975-08-05T23:59:59.000Z

260

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

E-Print Network (OSTI)

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

Eyre-Walker, Adam

Note: This page contains sample records for the topic "2a usage indicators" 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

Summarizing observational client-side data to reveal web usage patterns  

Science Conference Proceedings (OSTI)

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

Vagner Figuerêdo de Santana; M. Cecília C. Baranauskas

2010-03-01T23:59:59.000Z

262

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

Science Conference Proceedings (OSTI)

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

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

2009-05-01T23:59:59.000Z

263

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

Science Conference Proceedings (OSTI)

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

Annanda Thavymony Rath; Jean-Noël Colin

2013-08-01T23:59:59.000Z

264

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

E-Print Network (OSTI)

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

Smith, Scott C.

265

Enzymatic temperature change indicator  

DOE Patents (OSTI)

A temperature change indicator is described which is composed of an enzyme and a substrate for that enzyme suspended in a solid organic solvent or mixture of solvents as a support medium. The organic solvent or solvents are chosen so as to melt at a specific temperature or in a specific temperature range. When the temperature of the indicator is elevated above the chosen, or critical temperature, the solid organic solvent support will melt, and the enzymatic reaction will occur, producing a visually detectable product which is stable to further temperature variation.

Klibanov, Alexander M. (Newton, MA); Dordick, Jonathan S. (Iowa City, IA)

1989-01-21T23:59:59.000Z

266

Vermont Climate Change Indicators  

Science Conference Proceedings (OSTI)

Climate change indicators are developed for Vermont in recent decades based on the trends in freeze dates, the length of the growing season, the frozen period of small lakes, and the onset of spring. These trends, which show a consistent pattern ...

Alan K. Betts

2011-04-01T23:59:59.000Z

267

Energy Efficiency Indicators Methodology Booklet  

E-Print Network (OSTI)

Energy Intensity Indicators .related policies. Energy intensity indicators are used forStructure of US Energy Intensity Indicators Sectors Industry

Sathaye, Jayant

2010-01-01T23:59:59.000Z

268

LEADING WITH LEADING INDICATORS  

SciTech Connect

This paper documents Fluor Hanford's use of Leading Indicators, management leadership, and statistical methodology in order to improve safe performance of work. By applying these methods, Fluor Hanford achieved a significant reduction in injury rates in 2003 and 2004, and the improvement continues today. The integration of data, leadership, and teamwork pays off with improved safety performance and credibility with the customer. The use of Statistical Process Control, Pareto Charts, and Systems Thinking and their effect on management decisions and employee involvement are discussed. Included are practical examples of choosing leading indicators. A statistically based color coded dashboard presentation system methodology is provided. These tools, management theories and methods, coupled with involved leadership and employee efforts, directly led to significant improvements in worker safety and health, and environmental protection and restoration at one of the nation's largest nuclear cleanup sites.

PREVETTE, S.S.

2005-01-27T23:59:59.000Z

269

Battery capacity indicator  

SciTech Connect

This patent describes a battery capacity indicator for providing a continuous indication of battery capacity for a battery powered device. It comprises means for periodically effecting a first and a second positive discharge rate of the battery; voltage measurement means, for measuring the battery terminal voltage at the first and second positive discharge rates during the operation of the device, and for generating a differential battery voltage value in response thereto; memory means for storing a set of predetermined differential battery voltage values and a set of predetermined battery capacity values, each of the set of predetermined differential battery voltage values defining one of the set of predetermined battery capacity values; comparison means, coupled to the memory means and to the voltage measurement means, for comparing the measured differential battery voltage values with the set of predetermined differential battery voltage values, and for selecting the predetermined battery capacity value corresponding thereto.

Kunznicki, W.J.

1991-07-16T23:59:59.000Z

270

Tamper-indicating seal  

DOE Patents (OSTI)

There is disclosed a tamper-indicating seal that permits in the field inspection and detection of tampering. Said seal comprises a shrinkable tube having a visible pattern of markings which is shrunk over th item to be sealed, and a second transparent tube, having a second visible marking pattern, which is shrunk over the item and the first tube. The relationship between the first and second set of markings produces a pattern so that the seal may not be removed without detection. The seal is particularly applicable to UF/sub 6/ cylinder valves.

Fiarman, S.; Degen, M.F.; Peters, H.F.

1982-08-13T23:59:59.000Z

271

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

SciTech Connect

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

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

1980-10-01T23:59:59.000Z

272

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

SciTech Connect

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

Cote, S.M.

1982-04-30T23:59:59.000Z

273

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

E-Print Network (OSTI)

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

274

RECS Fuel Oil Usage Form_v1 (Draft).xps  

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

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

275

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

Science Conference Proceedings (OSTI)

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

Sally Hambridge; Jeffrey C. Sedayao

1993-11-01T23:59:59.000Z

276

arXiv.org help - 2010 Institutional arXiv Usage Data  

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

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

277

arXiv.org help - 2012 Institutional arXiv Usage Data  

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

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

278

arXiv.org help - 2009 Institutional arXiv Usage Data  

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

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

279

arXiv.org help - 2011 Institutional arXiv Usage Data  

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

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

280

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network (OSTI)

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" 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

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

282

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

E-Print Network (OSTI)

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

Milberger, Whitney F.

2010-05-01T23:59:59.000Z

283

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

SciTech Connect

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

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

1978-07-01T23:59:59.000Z

284

Energy Efficiency Indicators Methodology Booklet  

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

Indicators Methodology Booklet Title Energy Efficiency Indicators Methodology Booklet Publication Type Report LBNL Report Number LBNL-3702E Year of Publication 2010 Authors...

285

FIELD TEST OF THE FLAME QUALITY INDICATOR  

Science Conference Proceedings (OSTI)

The flame quality indicator concept was developed at BNL specifically to monitor the brightness of the flame in a small oil burner and to provide a ''call for service'' notification when the brightness has changed from its setpoint, either high or low. In prior development work BNL has explored the response of this system to operational upsets such as excess air changes, fouled atomizer nozzles, poor fuel quality, etc. Insight Technologies, Inc. and Honeywell, Inc. have licensed this technology from the U.S. Department of Energy and have been cooperating to develop product offerings which meet industry needs with an optimal combination of function and price. Honeywell has recently completed the development of the Flame Quality Monitor (FQM or Honeywell QS7100F). This is a small module which connects via a serial cable to the burners primary operating control. Primary advantages of this approach are simplicity, cost, and ease of installation. Call-for-service conditions are output in the form of front panel indicator lights and contact closure which can trigger a range of external communication options. Under this project a field test was conducted of the FQM in cooperation with service organizations in Virginia, Pennsylvania, New Jersey, New York, and Connecticut. At total of 83 field sites were included. At each site the FQM was installed in parallel with another embodiment of this concept--the Insight AFQI. The AFQI incorporates a modem and provides the ability to provide detailed information on the trends in the flame quality over the course of the two year test period. The test site population was comprised of 79.5% boilers, 13.7% warm air furnaces, and 6.8% water heaters. Nearly all were of residential size--with firing rates ranging from 0.6 gallons of oil per hour to 1.25. During the course of the test program the monitoring equipment successfully identified problems including: plugged fuel lines, fouled nozzles, collapsed combustion chambers, and poor fuel pump cut-off. Service organizations can use these early indications to reduce problems and service costs. There were also some ''call-for-service'' indications for which problems were not identified. The test program also showed that monitoring of the flame can provide information on burner run times and this can be used to estimate current oversize factors and to determine actual fuel usage, enabling more efficient fuel delivery procedures.

Andrew M. Rudin; Thomas Butcher; Henry Troost

2003-02-04T23:59:59.000Z

286

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

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

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

287

RECS Fuel Oil Usage Form_v1 (Draft).xps  

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

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

288

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

SciTech Connect

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

Fischer, M.

1998-07-01T23:59:59.000Z

289

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

E-Print Network (OSTI)

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

Tasos Spiliotopoulos; Ian Oakley

2013-01-01T23:59:59.000Z

290

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

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 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"

291

" 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"

292

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

E-Print Network (OSTI)

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

Flory IV, Isaac L.

2008-01-01T23:59:59.000Z

293

NIST sustainable manufacturing indicators repository  

Science Conference Proceedings (OSTI)

... GLOSSARY. This section contains definitions of the terms used in this Webportal. Benchmark Value. The targeted value of an indicator. ...

294

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

Science Conference Proceedings (OSTI)

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

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

2005-12-01T23:59:59.000Z

295

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

E-Print Network (OSTI)

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

Dumais, Susan

296

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

E-Print Network (OSTI)

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

297

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

E-Print Network (OSTI)

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

Mody, Pritesh (Pritesh Chetan)

2010-01-01T23:59:59.000Z

298

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

Science Conference Proceedings (OSTI)

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

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

2013-03-01T23:59:59.000Z

299

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

Science Conference Proceedings (OSTI)

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

Matti Haverila

2013-05-01T23:59:59.000Z

300

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

E-Print Network (OSTI)

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

Note: This page contains sample records for the topic "2a usage indicators" 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

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

Science Conference Proceedings (OSTI)

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

Amirrudin Kamsin; Md Nor Ridzuan Daud

2005-02-01T23:59:59.000Z

302

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

Science Conference Proceedings (OSTI)

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

Bilel Hadri; Mark Fahey; Nick Jones

2010-08-01T23:59:59.000Z

303

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

E-Print Network (OSTI)

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

Gesbert, David

304

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

Science Conference Proceedings (OSTI)

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

Jeroen Kraaijenbrink

2007-09-01T23:59:59.000Z

305

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

E-Print Network (OSTI)

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

Shen, Xuemin "Sherman"

306

Weather Normalization of Reliability Indices  

Science Conference Proceedings (OSTI)

Weather significantly increases variability of reliability indices. This project focuses on exploring statistical correlations between weather parameters and system performance indices using historical utility reliability data and weather data. Using this information, various approaches for normalizing utility performance indices for variability in weather can be developed.

2008-12-22T23:59:59.000Z

307

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

SciTech Connect

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

Stone, B.

1974-05-01T23:59:59.000Z

308

CHEMICAL INDICATORS Appendix A Chemistry Indicators and Evaluation Methods  

E-Print Network (OSTI)

The chemical indicators evaluated in this study were based on chemical-specific sediment quality guidelines (SQGs) obtained from several sources. SQGs are numeric values intended to help in the interpretation of sediment chemistry data. SQGs are not intended to be a final assessment of environmental condition at a site, but rather to assist in the determination of the potential for biological effects. Numerical SQGs have been developed using both mechanistic and empirical relationships between chemistry and biological effect. Both types of approaches were evaluated in the early phases of the SQO project, but the mechanistic approaches (i.e., equilibrium partitioning) were not included in the final statistical evaluations based on the results of preliminary analyses and the recommendation of the SSC. Three types of empirical chemical indicators were compared and evaluated: established indicators that were based on existing published SQGs that were developed for application on a national level, regional indicators that represent established indicator approaches calibrated to California data, and new indicators developed specifically for this project. All of the chemical indicators were based on chemical mixtures in order to represent the joint effects of multiple chemicals present in a sample. The individual chemical SQGs were integrated using a method specific to each approach to describe mixture effects. The chemicals included in each candidate indicator are shown in Table

unknown authors

2006-01-01T23:59:59.000Z

309

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

SciTech Connect

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

Hillman, B.

1973-08-01T23:59:59.000Z

310

National Climate Assessment: Indicators System  

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

Indicators System Print E-mail Indicators System Print E-mail What are the goals for the NCA indicators? The vision for the National Climate Assessment (NCA) is to create a system of indicators that will help inform policy-makers and citizens understand key aspects of our changing climate. Scientific information about physical climate conditions, climate impacts, vulnerabilities, and preparedness will be tracked and compiled. These measures are called indicators. The goals of the Indicators System are to: Provide meaningful, authoritative climate-relevant measures about the status, rates, and trends of key physical, ecological, and societal variables and values Inform decisions on management, research, and education at regional to national scales Identify climate-related conditions and impacts to help develop effective mitigation and adaptation measures

311

Development of Fireside Performance Indices  

Science Conference Proceedings (OSTI)

Advanced indices can predict coal-related effects on power plant performance, including furnace wall slagging, convective pass fouling (both high- and low-temperature), sootblower effectiveness, stack plume opacity, boiler erosion, and coal grindability. This report documents the development of the Predictive Coal Quality Effects Screening Tool (PCQUEST), a software package that calculates and displays the advanced indices.

1998-12-22T23:59:59.000Z

312

Nitroglycerine Usage  

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

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

313

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

E-Print Network (OSTI)

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

Hazelhurst, Scott; Sanders, Ian

2011-01-01T23:59:59.000Z

314

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

E-Print Network (OSTI)

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

Jason Flinn; M. Satyanarayanan

1999-01-01T23:59:59.000Z

315

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

SciTech Connect

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

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

2010-01-01T23:59:59.000Z

316

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

SciTech Connect

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

Chandonia, John-Marc; Kim, Sung-Hou

2006-03-15T23:59:59.000Z

317

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

DOE Green Energy (OSTI)

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

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

1976-01-01T23:59:59.000Z

318

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

SciTech Connect

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

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

1976-01-01T23:59:59.000Z

319

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

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

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

320

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

E-Print Network (OSTI)

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

Sahakyan, Aleksandr B.

2012-07-03T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" 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

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

SciTech Connect

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

DRIESSEN,BRIAN

1999-09-01T23:59:59.000Z

322

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

SciTech Connect

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

Sullivan, M.

1992-05-01T23:59:59.000Z

323

Assessing user experiences and usage intentions of m-banking service  

Science Conference Proceedings (OSTI)

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

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

2010-05-01T23:59:59.000Z

324

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

325

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

326

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

SciTech Connect

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

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

1989-01-01T23:59:59.000Z

327

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

SciTech Connect

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

1981-12-01T23:59:59.000Z

328

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

SciTech Connect

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

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

1989-01-01T23:59:59.000Z

329

H2A Biomethane Model Documentation and a Case Study for Biogas From Dairy Farms  

SciTech Connect

The new H2A Biomethane model was developed to estimate the levelized cost of biomethane by using the framework of the vetted original H2A models for hydrogen production and delivery. For biomethane production, biogas from sources such as dairy farms and landfills is upgraded by a cleanup process. The model also estimates the cost to compress and transport the product gas via the pipeline to export it to the natural gas grid or any other potential end-use site. Inputs include feed biogas composition and cost, required biomethane quality, cleanup equipment capital and operations and maintenance costs, process electricity usage and costs, and pipeline delivery specifications.

Saur, G.; Jalalzadeh, A.

2010-12-01T23:59:59.000Z

330

Energy Efficiency Indicators Methodology Booklet  

SciTech Connect

This Methodology Booklet provides a comprehensive review and methodology guiding principles for constructing energy efficiency indicators, with illustrative examples of application to individual countries. It reviews work done by international agencies and national government in constructing meaningful energy efficiency indicators that help policy makers to assess changes in energy efficiency over time. Building on past OECD experience and best practices, and the knowledge of these countries' institutions, relevant sources of information to construct an energy indicator database are identified. A framework based on levels of hierarchy of indicators -- spanning from aggregate, macro level to disaggregated end-use level metrics -- is presented to help shape the understanding of assessing energy efficiency. In each sector of activity: industry, commercial, residential, agriculture and transport, indicators are presented and recommendations to distinguish the different factors affecting energy use are highlighted. The methodology booklet addresses specifically issues that are relevant to developing indicators where activity is a major factor driving energy demand. A companion spreadsheet tool is available upon request.

Sathaye, Jayant; Price, Lynn; McNeil, Michael; de la rue du Can, Stephane

2010-05-01T23:59:59.000Z

331

VELOCITY INDICATOR FOR EXTRUSION PRESS  

DOE Patents (OSTI)

An indicator is presented for measuring the lowspeed velocity of an object in one direction where the object returns in the opposite direction at a high speed. The indicator comprises a drum having its axis of rotation transverse to the linear movement of the object and a tape wound upon the drum with its free end extending therefrom and adapted to be connected to the object. A constant torque is applied to the drum in a direction to wind the tape on the drum. The speed of the tape in the unwinding direction is indicated on a tachometer which is coupled through a shaft and clutch means to the drum only when the tape is unwinding.

Digney, F.J. Jr.; Bevilacqua, F.

1959-04-01T23:59:59.000Z

332

The Unreliability of Inflation Indicators  

E-Print Network (OSTI)

Analysts seeking evidence of rising inflation often focus on the movements of a single indicator—an increase in the price of gold, for example, or a decline in the unemployment rate. But simple statistical tests reveal that such indicators, used in isolation, have very limited predictive power. Controlling inflation—perhaps the most vital responsibility of the Federal Reserve—requires a high degree of foresight. Because policy actions to curb inflation typically take effect only after a long lag, the Federal Reserve needs to know in advance when inflation is likely to rise. Consequently, to understand where prices are headed and what policy steps are appropriate, policymakers turn to forecasts of inflation. In this edition of Current Issues, we consider the usefulness of certain “indicator variables ” in forecasting inflation. These variables—which include commodity

Stephen G. Cecchetti; Rita S. Chu; Charles Steindel

2001-01-01T23:59:59.000Z

333

Correlating Power Quality Indices with System Reliability Indices  

Science Conference Proceedings (OSTI)

Energy companies can use better knowledge about existing power quality to target maintenance efforts, to establish a baseline for offering premium power services, and to use as a selling tool to sell sites with high power quality. Unfortunately, most energy companies do not have widespread, long-term records of power quality needed to provide this information. But energy companies often have good historical records of reliability indices for all circuits on their system (System Average Interruption Frequ...

2005-03-30T23:59:59.000Z

334

Environmental management need environmental indicators  

Science Conference Proceedings (OSTI)

OECD countries are collectively the biggest users of natural resources in the world and the environmental, economic and social consequences of the production and consumption of these resources and of related economic activities extend far beyond their ... Keywords: environment, environmental indicator, management, sustainable development

Davorin Kralj; Anita Trnav?evi?

2009-02-01T23:59:59.000Z

335

MSPI False Indication Probability Simulations  

SciTech Connect

This paper examines false indication probabilities in the context of the Mitigating System Performance Index (MSPI), in order to investigate the pros and cons of different approaches to resolving two coupled issues: (1) sensitivity to the prior distribution used in calculating the Bayesian-corrected unreliability contribution to the MSPI, and (2) whether (in a particular plant configuration) to model the fuel oil transfer pump (FOTP) as a separate component, or integrally to its emergency diesel generator (EDG). False indication probabilities were calculated for the following situations: (1) all component reliability parameters at their baseline values, so that the true indication is green, meaning that an indication of white or above would be false positive; (2) one or more components degraded to the extent that the true indication would be (mid) white, and “false” would be green (negative) or yellow (negative) or red (negative). In key respects, this was the approach taken in NUREG-1753. The prior distributions examined were the constrained noninformative (CNI) prior used currently by the MSPI, a mixture of conjugate priors, the Jeffreys noninformative prior, a nonconjugate log(istic)-normal prior, and the minimally informative prior investigated in (Kelly et al., 2010). The mid-white performance state was set at ?CDF = ?10 ? 10-6/yr. For each simulated time history, a check is made of whether the calculated ?CDF is above or below 10-6/yr. If the parameters were at their baseline values, and ?CDF > 10-6/yr, this is counted as a false positive. Conversely, if one or all of the parameters are set to values corresponding to ?CDF > 10-6/yr but that time history’s ?CDF < 10-6/yr, this is counted as a false negative indication. The false indication (positive or negative) probability is then estimated as the number of false positive or negative counts divided by the number of time histories (100,000). Results are presented for a set of base case parameter values, and three sensitivity cases in which the number of FOTP demands was reduced, along with the Birnbaum importance of the FOTP.

Dana Kelly; Kurt Vedros; Robert Youngblood

2011-03-01T23:59:59.000Z

336

MSPI False Indication Probability Simulations  

Science Conference Proceedings (OSTI)

This paper examines false indication probabilities in the context of the Mitigating System Performance Index (MSPI), in order to investigate the pros and cons of different approaches to resolving two coupled issues: (1) sensitivity to the prior distribution used in calculating the Bayesian-corrected unreliability contribution to the MSPI, and (2) whether (in a particular plant configuration) to model the fuel oil transfer pump (FOTP) as a separate component, or integrally to its emergency diesel generator (EDG). False indication probabilities were calculated for the following situations: (1) all component reliability parameters at their baseline values, so that the true indication is green, meaning that an indication of white or above would be false positive; (2) one or more components degraded to the extent that the true indication would be (mid) white, and “false” would be green (negative) or yellow (negative) or red (negative). In key respects, this was the approach taken in NUREG-1753. The prior distributions examined were the constrained noninformative (CNI) prior used currently by the MSPI, a mixture of conjugate priors, the Jeffreys noninformative prior, a nonconjugate log(istic)-normal prior, and the minimally informative prior investigated in (Kelly et al., 2010). The mid-white performance state was set at ?CDF = ?10 ? 10-6/yr. For each simulated time history, a check is made of whether the calculated ?CDF is above or below 10-6/yr. If the parameters were at their baseline values, and ?CDF > 10-6/yr, this is counted as a false positive. Conversely, if one or all of the parameters are set to values corresponding to ?CDF > 10-6/yr but that time history’s ?CDF histories (100,000). Results are presented for a set of base case parameter values, and three sensitivity cases in which the number of FOTP demands was reduced, along with the Birnbaum importance of the FOTP.

Dana Kelly; Kurt Vedros; Robert Youngblood

2011-03-01T23:59:59.000Z

337

Leadership and Leading Indicators Presentation  

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

Leadership Leadership and Leading Indicators Peter S. Winokur, Ph.D., Member Defense Nuclear Facilities Safety Board Thanks to Matt Moury and Doug Minnema August 28, 2008 Objectives * A few thoughts about leadership * Actions taken by leaders * Role of leading indicators * Consider the future August 28, 2008 2 3 Safety Culture Safety culture is an organization's values and behaviors - modeled by its leaders and internalized by its members - that serve to make nuclear safety an overriding priority.* - Dating back to SEN-35-91, it's DOE Policy; - It's perishable; - EFCOG/DOE ISMS Safety Culture Task Team. *INPO, Principles for a Strong Nuclear Safety Culture, November 2004. August 28, 2008 4 Leadership & Mission Top 10 Ways To Know You Have A Safety Culture: * #1 is Leadership - the talk and the walk

338

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

E-Print Network (OSTI)

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

Moghaddam, Saeed; Ranka, Sanjay; Somaiya, Manas

2010-01-01T23:59:59.000Z

339

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

SciTech Connect

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

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

1994-03-01T23:59:59.000Z

340

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

SciTech Connect

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

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

2005-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" 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

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

E-Print Network (OSTI)

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

Huang, Longbo; Ramchandran, Kannan

2011-01-01T23:59:59.000Z

342

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

SciTech Connect

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

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

2007-08-01T23:59:59.000Z

343

Solvent usage and recycling potential in a research and development setting  

SciTech Connect

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

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

1996-07-01T23:59:59.000Z

344

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

SciTech Connect

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

Steitz, P.

1986-11-01T23:59:59.000Z

345

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

DOE Green Energy (OSTI)

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

Mindy Kirkpatrick

2012-05-01T23:59:59.000Z

346

INDICATING, RECORDING, AND CONTROLLING APPARATUS  

DOE Patents (OSTI)

An accurate and sensitive apparatus for indicating the difference between two fluid pressures is described. The specific device suspended from flexible strip type springs to control the fluid pressure in a main line. The mechanical linkage is biased in a position by the pressure from the two sources under measurement, the pressures acting in opposite directions on the linkage. A second pressure acts on the linkage derived from the main line, such that a change in the pressure differential between the two measured lines will move the linkage to change the valve flow, altering the main line pressure which in turn repositions the linkage. By metering the main line pressure, the pressure differential between the two lines is continuously monitored and measured.

Gregory, C.H.; Hall, J.

1950-12-26T23:59:59.000Z

347

Reusable, tamper-indicating seal  

DOE Patents (OSTI)

A reusable, tamper-indicating seal comprises a drum confined within a fixed body and rotatable in one direction therewithin, the top of the drum constituting a tray carrying a large number of small balls of several different colors. The fixed body contains parallel holes for looping a seal wire therethrough. The base of the drums carries cams adapted to coact with cam followers to lock the wire within the seal at one angular position of the drum. A channel in the fixed body -- visible from outside the seal -- adjacent the tray constitutes a segregated location for a small plurality of the colored balls. A spring in the tray forces colored balls into the segregated location at one angular position of the drum, further rotation securing the balls in position and the wires in the seal. A wedge-shaped plough removes the balls from the segregated location, at a different angular position of the drum, the wire being unlocked at the same position. A new pattern of colored balls will appear in the segregated location when the seal is relocked.

Ryan, Michael J. (Plainfield, IL)

1978-01-01T23:59:59.000Z

348

PMC**F2a  

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

PMC**F2a PMC**F2a 12.0 02 T.T.S. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION RECIPIENT:Rochester Institute of Technology STATE: NY PROJECT TITLE : Hyperspectral Polymer Solar Cells Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number DE-FG36-08G088110 GFO-09-025-001 G088110 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.1A), 1 have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: B3.6 Siting, construction (or modification), operation, and decommissioning of facilities for indoor bench-scale research projects and conventional laboratory operations (for example, preparation of chemical standards and sample analysis):

349

" 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"

350

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

E-Print Network (OSTI)

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

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

2010-01-01T23:59:59.000Z

351

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

DOE Patents (OSTI)

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

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

1998-01-01T23:59:59.000Z

352

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

DOE Patents (OSTI)

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

Bitensky, M.W.; Yoshida, Tatsuro

1998-08-04T23:59:59.000Z

353

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

SciTech Connect

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

Smojven, R.R.

1984-09-18T23:59:59.000Z

354

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

E-Print Network (OSTI)

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

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

2004-01-01T23:59:59.000Z

355

Stratgies for Diversity Usage to Mitigate Postulated Common Cause Failure Vulnerabilities  

Science Conference Proceedings (OSTI)

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

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

2011-01-01T23:59:59.000Z

356

Usage of Friction-damped Braced Frames for Seismic Vibration Control  

E-Print Network (OSTI)

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

Fink, Brynnan 1992-

2012-05-01T23:59:59.000Z

357

Buildings Energy Data Book: 8.5 Federal Government Water Usage  

Buildings Energy Data Book (EERE)

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

358

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

E-Print Network (OSTI)

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

Lee, Kyung-Sook

2005-12-01T23:59:59.000Z

359

Graphics Calculators In Developmental Mathematics—Policies And Practice: An Investigation Of Factors Affecting Instructors’ Classroom Usage In Tennessee Community Colleges.  

E-Print Network (OSTI)

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

Smith, Joyce Petty

2006-01-01T23:59:59.000Z

360

PNIC-EF2a  

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

ir7 ( AO 757" ik ( '4 PNIC-EF2a (2.0it2i U.S. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION RECIPIENT:Oklahoma State University STATE: OK PROJECT TITLE : Alternative Crops and Biofuels Production Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number EE0000392 r o - to - EE392 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.1A), I have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: A9 Information gathering (including. but not limited to, literature surveys, inventories, audits), data analysis (including computer modeling), document preparation (such as conceptual design or feasibility studies, analytical energy supply and

Note: This page contains sample records for the topic "2a usage indicators" 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

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

E-Print Network (OSTI)

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

Joseph, Anthony D.

362

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

Science Conference Proceedings (OSTI)

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

Jarmo Harno

2010-08-01T23:59:59.000Z

363

Relationships between Indices of the Southern Oscillation  

Science Conference Proceedings (OSTI)

This note documents two indices of the Southern Oscillation based on sea-surface temperature (SST) and rainfall, and compares their statistics with those of two pressure indices. The indices are almost equivalent on an annual basis, and the SST ...

Peter B. Wright

1984-09-01T23:59:59.000Z

364

Facility Representative Program: Program Performance Indicators  

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

Program Performance Indicators DOE Corporate Reporting Data (ORPS, CAIRS, Others) Facility Representative Performance Indicator Guidance -- Appendix A in DOE-STD-1063-2011,...

365

Ribosome collisions and Translation efficiency: Optimization by codon usage and mRNA destabilization  

E-Print Network (OSTI)

Individual mRNAs are translated by multiple ribosomes that initiate translation with a few seconds interval. The ribosome speed is codon dependant, and ribosome queuing has been suggested to explain specific data for translation of some mRNAs in vivo. By modelling the stochastic translation process as a traffic problem, we here analyze conditions and consequences of collisions and queuing. The model allowed us to determine the on-rate (0.8 to 1.1 initiations per sec) and the time (1 sec) the preceding ribosome occludes initiation for Escherichia coli lacZ mRNA in vivo. We find that ribosome collisions and queues are inevitable consequences of a stochastic translation mechanism that reduce the translation efficiency substantially on natural mRNAs. The cells minimize collisions by having its mRNAs being unstable and by a highly selected codon usage in the start of the mRNA. The cost of mRNA breakdown is offset by the concomitant increase in translational efficiency.

Namiko Mitarai; Kim Sneppen; Steen Pedersen

2008-09-25T23:59:59.000Z

366

Health, safety and environmental issues relating to cadmium usage in photovoltaic energy systems  

DOE Green Energy (OSTI)

This paper discusses the current technology base and hazards associated with two promising thin-film photovoltaic cells that contain cadmium compounds -- cadmium telluride (CdTe) and copper indium diselenide (CuInSe{sub 2}). More specifically, this paper summarizes the toxicological information on cadmium (Cd) compounds; evaluates potential health, safety and environmental hazards associated with cadmium usage in the photovoltaics industry; describes regulatory requirements associated with the use, handling and disposal of cadmium compounds; and lists management options to permit the safe and continued use of these materials. Handling of cadmium in photovoltaic production can present hazards to health, safety and the environment. Prior recognition of these hazards can allow device manufacturers and regulators to implement appropriate and readily available hazard management strategies. Hazards associated with product use (i.e., array fires) and disposal remain controversial and partially unresolved. The most likely effects that could be expected would be those associated with chronic low-level exposures to cadmium wastes. Because of the general immobility of the cadmium present in these devices and availability of environmental and biomonitoring protocols, chronic hazards can be monitored, and remediated if necessary. Nevertheless, concern about cadmium hazards should continue to be emphasized to ensure that health, safety and environmental issues are properly managed. At the same time, the potential role that these systems can play in ameliorating some important health and environmental hazards related to other energy systems should not be ignored. 27 refs., 5 figs., 2 tabs.

Moskowitz, P.D.; Fthenakis, V.M. (Brookhaven National Lab., Upton, NY (USA)); Zweibel, K. (Solar Energy Research Inst., Golden, CO (USA))

1989-12-01T23:59:59.000Z

367

Health, safety and environmental issues relating to cadmium usage in photovoltaic energy systems  

DOE Green Energy (OSTI)

This paper discusses the current technology base and hazards associated with two promising thin-film photovoltaic cells that contain cadmium compounds--cadmium telluride (CdTe) and copper indium deselenide (CuInSe{sub 2}). More specifically, this paper summarized the toxicological information on cadmium (Cd) compounds;evaluates potential health, safety and environmental hazards associated with cadmium usage in the photovoltaics industry; describes regulatory requirements associated with the use, handling and disposal of cadmium compounds; and lists management options to permit the safe and continued use of these materials. Handling of cadmium in photovoltaic production can present hazards to health, safety and the environment. Prior recognition of these hazards can allow device manufacturers and regulators to implement appropriate and readily available hazard management strategies. Hazards associated with product use (i.e., array fires) and disposal remain controversial and partially unresolved. The most likely effects that could be expected would be those associated with chronic low-level exposures to cadmium wastes. Because of the general immobility of the cadmium present in these devices and availability of environmental and biomonitoring protocols, chronic hazards can be monitored, and remediated if necessary. 26 refs., 5 figs., 2 tabs.

Moskowitz, P.D.; Fthenakis, V.M. (Brookhaven National Lab., Upton, NY (USA)); Zweibel, K. (Solar Energy Research Inst., Golden, CO (USA))

1990-01-01T23:59:59.000Z

368

CDF GlideinWMS usage in grid computing of high energy physics  

SciTech Connect

Many members of large science collaborations already have specialized grids available to advance their research in the need of getting more computing resources for data analysis. This has forced the Collider Detector at Fermilab (CDF) collaboration to move beyond the usage of dedicated resources and start exploiting Grid resources. Nowadays, CDF experiment is increasingly relying on glidein-based computing pools for data reconstruction. Especially, Monte Carlo production and user data analysis, serving over 400 users by central analysis farm middleware (CAF) on the top of Condor batch system and CDF Grid infrastructure. Condor is designed as distributed architecture and its glidein mechanism of pilot jobs is ideal for abstracting the Grid computing by making a virtual private computing pool. We would like to present the first production use of the generic pilot-based Workload Management System (glideinWMS), which is an implementation of the pilot mechanism based on the Condor distributed infrastructure. CDF Grid computing uses glideinWMS for its data reconstruction on the FNAL campus Grid, user analysis and Monte Carlo production across Open Science Grid (OSG). We review this computing model and setup used including CDF specific configuration within the glideinWMS system which provides powerful scalability and makes Grid computing working like in a local batch environment with ability to handle more than 10000 running jobs at a time.

Zvada, Marian; /Fermilab /Kosice, IEF; Benjamin, Doug; /Duke U.; Sfiligoi, Igor; /Fermilab

2010-01-01T23:59:59.000Z

369

Ammonia usage in vapor compression for refrigeration and air-conditioning in the United States  

SciTech Connect

The impending phaseout of CFCs and HCFCs has led to a worldwide search for refrigerants that can provide equivalent performance while not damaging the environment. Long used as a working fluid in industrial and large-scale refrigeration, ammonia provides high efficiency, low initial cost, and no detrimental impact to the environment. However, its toxicity and flammability, along with technical considerations and increased operating costs, deter its use in many refrigeration and cooling applications. Utilization of ammonia in applications where its safety considerations and technical concerns can be addressed provides the best growth opportunity for adoption as a replacement refrigerant. Applications such as district or large-scale cooling, thermal storage, packaged systems, and combined systems hold promise for increased usage of ammonia. Ongoing research and development are providing solutions to technical considerations, and innovations in safety and containment of ammonia are addressing those particular concerns, but code restrictions and regulations present the greatest barrier to wider adoption of ammonia as an alternate refrigerant in the US To encourage wider use, future efforts will need to continue on improved safety and more efficient design, along with an increased emphasis on educating and informing industry and the public about the advantages ammonia and the factors restricting its use.

Fairchild, P.D.; Baxter, V.D.

1995-12-31T23:59:59.000Z

370

Improving Energy Use Forecast for Campus Micro-grids using Indirect Indicators Department of Computer Science  

E-Print Network (OSTI)

] and electricity forms 38% of total energy usage in the US [2]. Adoption of energy- efficient measures in buildings electricity usage and facility improvements with an eye on reducing their energy footprint and power usage costs. Energy analysis modeling of buildings is either based on steady state or dynamic conditions

Prasanna, Viktor K.

371

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

E-Print Network (OSTI)

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

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

1989-01-01T23:59:59.000Z

372

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

E-Print Network (OSTI)

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

Ian Dent; Uwe Aickelin; Tom Rodden

2011-01-01T23:59:59.000Z

373

Multi-query SQL progress indicators  

E-Print Network (OSTI)

Abstract. Recently, progress indicators have been proposed for SQL queries in RDBMSs. All previously proposed progress indicators consider each query in isolation, ignoring the impact simultaneously running queries have on each other’s performance. In this paper, we explore a multi-query progress indicator, which explicitly considers concurrently running queries and even queries predicted to arrive in the future when producing its estimates. We demonstrate that multi-query progress indicators can provide more accurate estimates than single-query progress indicators. Moreover, we extend the use of progress indicators beyond being a GUI tool and show how to apply multi-query progress indicators to workload management. We report on an initial implementation of a multi-query progress indicator in PostgreSQL and experiments with its use both for estimating remaining query execution time and for workload management. 1

Gang Luo; Jeffrey F. Naughton; Philip S. Yu

2006-01-01T23:59:59.000Z

374

An indicator energy of two close levels  

E-Print Network (OSTI)

In this paper, we introduce a concept of an indicator energy of two close levels in the perturbation.

Alexander V. Shamanin

2013-09-17T23:59:59.000Z

375

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

SciTech Connect

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

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

2007-09-15T23:59:59.000Z

376

FORCE2: A multidimensional flow program for gas solids flow theory guide  

SciTech Connect

This report describes the theory and structure of the FORCE2 flow program. The manual describes the governing model equations, solution procedure and their implementation in the computer program. FORCE2 is an extension of an existing B&V multidimensional, two-phase flow program. FORCE2 was developed for application to fluid beds by flow implementing a gas-solids modeling technology derived, in part, during a joint government -- industry research program, ``Erosion of FBC Heat Transfer Tubes,`` coordinated by Argonne National Laboratory. The development of FORCE2 was sponsored by ASEA-Babcock, an industry participant in this program. This manual is the principal documentation for the program theory and organization. Program usage and post-processing of code predictions with the FORCE2 post-processor are described in a companion report, FORCE2 -- A Multidimensional Flow Program for Fluid Beds, User`s Guide. This manual is segmented into sections to facilitate its usage. In section 2.0, the mass and momentum conservation principles, the basis for the code, are presented. In section 3.0, the constitutive relations used in modeling gas-solids hydrodynamics are given. The finite-difference model equations are derived in section 4.0 and the solution procedures described in sections 5.0 and 6.0. Finally, the implementation of the model equations and solution procedure in FORCE2 is described in section 7.0.

Burge, S.W.

1991-05-01T23:59:59.000Z

377

Conservation of Mass: An Old Principle That Needs More Usage in Hot & Humid Climates  

E-Print Network (OSTI)

Conservation of mass is such a basic principal that most designers no longer consider it for most design calculations. Design phase commissioning checks on several recent projects indicate designers should include conservation of mass calculations in the design. Recent retro-commissioning project indicate the concept should be considered by building owners and operators as well.

Browning, B. K.; McKinney, G.

2004-01-01T23:59:59.000Z

378

Improve Industrial Temperature Measurement Precision for Cost-Effective Energy Usage  

E-Print Network (OSTI)

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

Lewis, C. W.

1999-05-01T23:59:59.000Z

379

Indicator strip and portable instrument technologies for determining nitroesters or moisture in combustible cartridge cases  

Science Conference Proceedings (OSTI)

The sometimes large round-to-round variability observed in accelerated environmental testing, plus difficulties in quantifying the environmental histories of a given round suggest the need for nondestructive rapid tests of munitions to supplement lifetime prediction models in quality assurance of munitions. Technologies are being developed for reagent strips which can be affixed to rounds and which will visually indicate the presence and extent of nitroester migration by a visible color change. A solid state adaptation of a modified Griess reagent develops a red-purple color in the presence of nitroesters. Performance of current designs tested in the laboratory suggest a short-term (ca. one month) single usage. Dielectric capacitance is a promising means for rapid, nondestructive moisture determinations using a portable battery-powered instrument. Laboratory studies with a modified, inexpensive, commercial device have demonstrated fast (a few seconds) detection of case wall moisture content.

Griest, W.H.; Ho, C.H.; Moneyhun, J.H.; Agouridis, D.C.; Gayle, T.M.; Bates, B.E.

1993-10-01T23:59:59.000Z

380

Energy conservation indicators. 1982 annual report  

SciTech Connect

A series of Energy Conservation Indicators were developed for the Department of Energy to assist in the evaluation of current and proposed conservation strategies. As descriptive statistics that signify current conditions and trends related to efficiency of energy use, indicators provide a way of measuring, monitoring, or inferring actual responses by consumers in markets for energy services. Related sets of indicators are presented in some 40 one-page indicator summaries. Indicators are shown graphically, followed by several paragraphs that explain their derivation and highlight key findings. Indicators are classified according to broad end-use sectors: Aggregate (economy), Residential, Commercial, Industrial, Transportation and Electric Utilities. In most cases annual time series information is presented covering the period 1960 through 1981.

Belzer, D.B.

1982-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" 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

Energy Indicators for Sustainable Development: Guidelines and...  

Open Energy Info (EERE)

Development: Guidelines and Methodologies Jump to: navigation, search Tool Summary Name: Energy Indicators for Sustainable Development: Guidelines and Methodologies AgencyCompany...

382

An efficient compression scheme for bitmap indices  

Science Conference Proceedings (OSTI)

When using an out-of-core indexing method to answer a query, it is generally assumed that the I/O cost dominates the overall query response time. Because of this, most research on indexing methods concentrate on reducing the sizes of indices. For bitmap indices, compression has been used for this purpose. However, in most cases, operations on these compressed bitmaps, mostly bitwise logical operations such as AND, OR, and NOT, spend more time in CPU than in I/O. To speedup these operations, a number of specialized bitmap compression schemes have been developed; the best known of which is the byte-aligned bitmap code (BBC). They are usually faster in performing logical operations than the general purpose compression schemes, but, the time spent in CPU still dominates the total query response time. To reduce the query response time, we designed a CPU-friendly scheme named the word-aligned hybrid (WAH) code. In this paper, we prove that the sizes of WAH compressed bitmap indices are about two words per row for large range of attributes. This size is smaller than typical sizes of commonly used indices, such as a B-tree. Therefore, WAH compressed indices are not only appropriate for low cardinality attributes but also for high cardinality attributes.In the worst case, the time to operate on compressed bitmaps is proportional to the total size of the bitmaps involved. The total size of the bitmaps required to answer a query on one attribute is proportional to the number of hits. These indicate that WAH compressed bitmap indices are optimal. To verify their effectiveness, we generated bitmap indices for four different datasets and measured the response time of many range queries. Tests confirm that sizes of compressed bitmap indices are indeed smaller than B-tree indices, and query processing with WAH compressed indices is much faster than with BBC compressed indices, projection indices and B-tree indices. In addition, we also verified that the average query response time is proportional to the index size. This indicates that the compressed bitmap indices are efficient for very large datasets.

Wu, Kesheng; Otoo, Ekow J.; Shoshani, Arie

2004-04-13T23:59:59.000Z

383

Geothermal Exploration At Akutan, Alaska- Favorable Indications...  

Open Energy Info (EERE)

"http:en.openei.orgwindex.php?titleGeothermalExplorationAtAkutan,Alaska-FavorableIndicationsForAHigh-EnthalpyHydrothermalResourceNearARemoteMarket&oldid38813...

384

Regional Policy DSS: Result Indicators Definition Problems  

Science Conference Proceedings (OSTI)

This paper addresses the issue of public decision support in regional economic development, being more particularly concerned with result indicators definition. The decisions taken within such a framework necessarily are cooperative in nature and involve ... Keywords: Group Decision-Making, Ontologies, Polydoxies, Public Decision Support Systems, Result Indicators

Maryse Salles

2008-06-01T23:59:59.000Z

385

Multiobjective optimization of technical market indicators  

Science Conference Proceedings (OSTI)

This paper deals with the optimization of technical indicators for stock market investment. Price prediction is a problem of great complexity and usually some technical indicators are used to predict the markets trends. The main difficulty in the use ... Keywords: decision making, evolutionary algorithms, finance, optimization, stock market data mining, technical trading rules

Diego J. Bodas-Sagi; Pablo Fernández; J. Ignacio Hidalgo; Francisco J. Soltero; José L. Risco-Martín

2009-07-01T23:59:59.000Z

386

residential sector key indicators | OpenEI  

Open Energy Info (EERE)

residential sector key indicators residential sector key indicators Dataset Summary Description This dataset is the 2009 United States Residential Sector Key Indicators and Consumption, part of the Source EIA Date Released March 01st, 2009 (5 years ago) Date Updated Unknown Keywords AEO consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon 2009 Residential Sector Key Indicators and Consumption (xls, 55.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote

387

IRENA Renewable Energy Indicators | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » IRENA Renewable Energy Indicators Jump to: navigation, search Name Developing the IRENA Renewable Energy Indicators (Phase I) Agency/Company /Organization Worldwatch Institute Partner International Renewable Energy Agency (IRENA) Sector Energy Focus Area Renewable Energy, People and Policy Topics Background analysis, Pathways analysis, Policies/deployment programs Resource Type Publications Program Start 2011 Program End 2012 References IRENA[1] Abstract The Draft Concept Paper for Developing the IRENA Renewable Energy Indicators provides analysis regarding the design of a set of indicators to measure the extent of barriers to renewable energy development and deployment, the effectiveness of enabling policies to remove those barriers, and the impact that renewable energy deployment has on broader development goals. Ultimately, the IRENA Renewable Energy Indicators will be a critical asset in monitoring, tracking, and assessing global developments in the renewable energy sector.

388

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

SciTech Connect

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

Livingston, Olga V.; Cort, Katherine A.

2011-03-03T23:59:59.000Z

389

Over-temperature indicator device for freezers  

SciTech Connect

This patent describes an over-temperature indicator device for use in freezers having a control box comprising: a cylindrical housing having a mounting face portion adapted for mounting in an opening in the control box, the mounting face portion defining an opening therethrough, a second end of the cylindrical housing opposite the mounting face portion including an end cap means for closing the second end; a bistable thermostat disk mounted within the cylindrical housing adjacent the second end, the thermostat disk abruptly deforming in response to predetermined temperature changes; an indicator pin slidably mounted within the cylindrical housing and having first and second opposed ends, the first opposed end being coextensive with the opening at the mounting face portion. The second opposed end is adjacent the bistable thermostat disk when the indicator pin is in a non-indicating position. The indicator pin is slidable to an indicating position wherein the first opposed end of the pin extends beyond the cylindrical housing; a permanent magnet mounted at the second opposed end of the indicator pin for magnetic engagement with the bistable thermostat disk; and a cup shaped insulating member mounted over the second end of the cylindrical housing to provide a thermal time delay.

Janke, D.E.; Linstromberg, W.J.

1987-03-17T23:59:59.000Z

390

Scintillation probe with photomultiplier tube saturation indicator  

SciTech Connect

A photomultiplier tube saturation indicator is formed by supplying a supplemental light source, typically an light emitting diode (LED), adjacent to the photomultiplier tube. A switch allows the light source to be activated. The light is forwarded to the photomultiplier tube by an optical fiber. If the probe is properly light tight, then a meter attached to the indicator will register the light from the LED. If the probe is no longer light tight, and the saturation indicator is saturated, no signal will be registered when the LED is activated. 2 figs.

Ruch, J.F.; Urban, D.J.

1996-10-01T23:59:59.000Z

391

Scintillation probe with photomultiplier tube saturation indicator  

DOE Patents (OSTI)

A photomultiplier tube saturation indicator is formed by supplying a supplemental light source, typically an light emitting diode (LED), adjacent to the photomultiplier tube. A switch allows the light source to be activated. The light is forwarded to the photomultiplier tube by an optical fiber. If the probe is properly light tight, then a meter attached to the indicator will register the light from the LED. If the probe is no longer light tight, and the saturation indicator is saturated, no signal will be registered when the LED is activated.

Ruch, Jeffrey F. (Bethel Park, PA); Urban, David J. (Glassport, PA)

1996-01-01T23:59:59.000Z

392

Redshift indicators for gamma-ray bursts  

E-Print Network (OSTI)

The measure of the distances and luminosities of gamma-ray bursts (GRBs) led to the discovery that many GRB properties are strongly correlated with their intrinsic luminosity, leading to the construction of reliable luminosity indicators. These GRB luminosity indicators have quickly found applications, like the construction of 'pseudo-redshifts', or the measure of luminosity distances, which can be computed independently of the measure of the redshift. In this contribution I discuss various issues connected with the construction of luminosity-redshift indicators for gamma-ray bursts.

J-L. Atteia

2005-05-04T23:59:59.000Z

393

Portable wireless sensors for object usage sensing in the home: challenges and practicalities  

Science Conference Proceedings (OSTI)

A low-cost kit of stick-on wireless sensors that transmit data indicating whenever various objects are being touched or used might aid ubiquitous computing research efforts on rapid prototyping, context-aware computing, and ultra-dense object sensing, ...

Emmanuel Munguia Tapia; Stephen S. Intille; Kent Larson

2007-11-01T23:59:59.000Z

394

AOCS Official Method F 2a-44  

Science Conference Proceedings (OSTI)

Organically Combined Sulfuric Anhydride, Titration Method AOCS Official Method F 2a-44 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines the

395

AOCS Official Method Ja 2a-46  

Science Conference Proceedings (OSTI)

Moisture AOCS Official Method Ja 2a-46 Methods Downloads Methods Downloads DEFINITION This method determines the moisture by distillation with an immiscible solvent. SCOPE This metho

396

AOCS Recommended Practice Ch 2a-94  

Science Conference Proceedings (OSTI)

trans Unsaturated Fatty Acids by Capillary Column Gas Chromatography AOCS Recommended Practice Ch 2a-94 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads AOCS DEFINITI

397

Optical temperature indicator using thermochromic semiconductors  

DOE Patents (OSTI)

A reversible optical temperature indicator utilizes thermochromic semiconductors which vary in color in response to various temperature levels. The thermochromic material is enclosed in an enamel which provides protection and prevents breakdown at higher temperatures. Cadmium sulfide is the preferred semiconductor material. The indicator may be utilized as a sign or in a striped arrangement to clearly provide a warning to a user. The various color responses provide multiple levels of alarm.

Kronberg, J.W.

1995-01-01T23:59:59.000Z

398

State of charge indicators for a battery  

SciTech Connect

The present invention relates to state of charge indicators for a battery. One aspect of the present invention utilizes expansion and contraction displacements of an electrode plate of a battery to gauge the state of charge in the battery. One embodiment of a battery of the present invention includes an anodic plate; a cathodic plate; an electrolyte in contact with the anodic and cathodic plates; plural terminals individually coupled with one of the anodic and cathodic plates; a separator intermediate the anodic and cathodic plates; an indicator configured to indicate an energy level of the battery responsive to movement of the separator; and a casing configured to house the anodic and cathodic plates, electrolyte, and separator.

Rouhani, S. Zia (Idaho Falls, ID)

1999-01-01T23:59:59.000Z

399

Lanthanide-halide based humidity indicators  

SciTech Connect

The present invention discloses a lanthanide-halide based humidity indicator and method of producing such indicator. The color of the present invention indicates the humidity of an atmosphere to which it is exposed. For example, impregnating an adsorbent support such as silica gel with an aqueous solution of the europium-containing reagent solution described herein, and dehydrating the support to dryness forms a substance with a yellow color. When this substance is exposed to a humid atmosphere the water vapor from the air is adsorbed into the coating on the pore surface of the silica gel. As the water content of the coating increases, the visual color of the coated silica gel changes from yellow to white. The color change is due to the water combining with the lanthanide-halide complex on the pores of the gel.

Beitz, James V. (Hinsdale, IL); Williams, Clayton W. (Chicago, IL)

2008-01-01T23:59:59.000Z

400

Federal Technical Capability Program - Quarterly Performance Indicator  

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

Quarterly Performance Indicator Reports Quarterly Performance Indicator Reports 2013 Quarterly Report on Federal Technical Capability August 16, 2013 Quarterly Report on Federal Technical Capability June 5, 2013 Quarterly Report on Federal Technical Capability February 20, 2013 2012 Quarterly Report on Federal Technical Capability November 20, 2012 Quarterly Report on Federal Technical Capability August 8, 2012 Quarterly Report on Federal Technical Capability May 30, 2012 Quarterly Report on Federal Technical Capability March 6, 2012 2011 Quarterly Report on Federal Technical Capability November 10, 2011 Quarterly Report on Federal Technical Capability August 24, 2011 Quarterly Report on Federal Technical Capability May 18, 2011 Quarterly Report on Federal Technical Capability February 23, 2011

Note: This page contains sample records for the topic "2a usage indicators" 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

Formalising medical quality indicators to improve guidelines  

E-Print Network (OSTI)

Formalising medical quality indicators to improve guidelines Marjolein van Gendt, Annette ten Teije,annette,rserban,frank.van.harmelen}@cs.vu.nl Abstract. Medical guidelines can significantly improve quality of med- ical care and reduce costs. But how that are formulated by medical institutions to evaluate medical care. The main research questions are (i) whether

ten Teije, Annette

402

Formalising medical quality indicators to improve guidelines  

E-Print Network (OSTI)

Formalising medical quality indicators to improve guidelines Marjolein van Gendt1 , Annette ten,annette,rserban,frank.van.harmelen}@cs.vu.nl Abstract. Medical guidelines can significantly improve quality of med- ical care and reduce costs. But how that are formulated by medical institutions to evaluate medical care. The main research questions are (i) whether

van Harmelen, Frank

403

Bison Wind 2A | Open Energy Information  

Open Energy Info (EERE)

2A 2A Jump to: navigation, search Name Bison Wind 2A Facility Bison Wind 2A Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer Minnesota Windpower Energy Purchaser Minnesota Windpower Location Northwest of New Salem ND Coordinates 46.9815°, -101.507421° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.9815,"lon":-101.507421,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

404

AOCS Official Method Tg 2a-64  

Science Conference Proceedings (OSTI)

Iodine Value of Fatty Amines, Modified Wijs Method AOCS Official Method Tg 2a-64 Methods Downloads Methods Downloads DEFINITION The iodine value is a measure of the unsaturation of the alkyl group or groups and is

405

AOCS Official Method Tn 2a-86  

Science Conference Proceedings (OSTI)

Flash Point of Fatty Quaternary Ammonium Chloride, Closed Cup Method (Modified Closed Cup Method, ASTM Designation D 93-80) AOCS Official Method Tn 2a-86 Methods Downloads Methods Downloads DEFINITION This method

406

AOCS Official Method Tf 2a-64  

Science Conference Proceedings (OSTI)

Primary, Secondary, and Tertiary Amine Values of Fatty Amines, Potentiometric Method AOCS Official Method Tf 2a-64 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION ...

407

AOCS Official Method Tm 2a-64  

Science Conference Proceedings (OSTI)

Ash of Fatty Quaternary Ammonium Chlorides AOCS Official Method Tm 2a-64 Methods Downloads Methods Downloads DEFINITION This method determines the residues remaining after incineration under the specified conditio

408

AOCS Official Method Ba 2a-38  

Science Conference Proceedings (OSTI)

Moisture and Volatile Matter AOCS Official Method Ba 2a-38 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines the moisture in the products sp

409

AOCS Official Method Ca 2a-45  

Science Conference Proceedings (OSTI)

Moisture Distillation Method AOCS Official Method Ca 2a-45 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines the moisture by distillation wi

410

AOCS Official Method Dd 2a-59  

Science Conference Proceedings (OSTI)

Moisture by the Distillation Method AOCS Official Method Dd 2a-59 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines moisture by distillation

411

AOCS Official Method Da 2a-48  

Science Conference Proceedings (OSTI)

Moisture and Volatile Matter, Air Oven Method AOCS Official Method Da 2a-48 Methods Methods and Analyses Analytical Chemistry Methods Downloads Methods Downloads DEFINITION This method determines the moisture a

412

Climate Zone 2A | Open Energy Information  

Open Energy Info (EERE)

Climate Zone 2A Climate Zone 2A Jump to: navigation, search A type of climate defined in the ASHRAE 169-2006 standard consisting of Climate Zone Number 2 and Climate Zone Subtype A. Climate Zone 2A is defined as Hot - Humid with IP Units 6300 < CDD50ºF ≤ 9000 and SI Units 3500 < CDD10ºC ≤ 5000 . The following places are categorized as class 2A climate zones: Acadia Parish, Louisiana Alachua County, Florida Allen Parish, Louisiana Anderson County, Texas Angelina County, Texas Appling County, Georgia Aransas County, Texas Ascension Parish, Louisiana Assumption Parish, Louisiana Atascosa County, Texas Atkinson County, Georgia Austin County, Texas Avoyelles Parish, Louisiana Bacon County, Georgia Baker County, Florida Baker County, Georgia Baldwin County, Alabama Bastrop County, Texas

413

AOCS Official Method Te 2a-64  

Science Conference Proceedings (OSTI)

Color, Photometric Index AOCS Official Method Te 2a-64 Methods Downloads Methods Downloads DEFINITION This method measures the color of commercial fatty acids and expresses the color as percent transmission at 440

414

AOCS Official Method Tc 2a-64  

Science Conference Proceedings (OSTI)

Color, Photometric Index AOCS Official Method Tc 2a-64 Methods Downloads Methods Downloads DEFINITION This method measures the color of commercial fatty acids and expresses the color as percent transmission at 440

415

AOCS Official Method Td 2a-64  

Science Conference Proceedings (OSTI)

Color, Photometric Index AOCS Official Method Td 2a-64 Methods Downloads Methods Downloads DEFINITION This method measures the color of commercial fatty acids and expresses the color as percent transmission at 440

416

Annotated compilation of the sources of information related to the usage of electricity in non-industrial applications. [Includes about 400 abstracts and glossary  

SciTech Connect

This report presents a thorough compilation of the sources of information related to the usage of electricity in non-industrial applications, as available in the open literature and from the U.S. electrical power industry. The report's scope encompasses all aspects of: electric load management; end use; and the various methods of acquisition, analysis and implementation of electricity usage data. There are over 400 abstracts; 156 from the Load Research Committee of Association of Edison Illuminating Companies (LRC/AEIC) reports and 264 from the open literature. The abstracts over references containing over 12,000 pages plus about 2,500 references and 6,200 graphs and tables pertinent to electricity usage in non-industrial applications. In addition to the LRC/AEIC abstracts, this document identifies over 100 sources of directly relevant information (in contrast to general interest sources and material of secondary relevance).

1978-07-01T23:59:59.000Z

417

An annotated compilation of the sources of information related to the usage of electricity in non-industrial applications. Final report  

SciTech Connect

The report is a thorough compilation of the sources of information related to the usage of electricity in non-industrial applications, as available in the open literature and from the U.S. electrical power industry. The report's scope encompasses all aspects of: electric load management; end-use; and the various methods of acquisition, analysis, and implementation of electricity usage data. There are over 400 abstracts; 156 from LRC/AEIC reports, and 264 from the open literature. The abstracts cover references containing over 12,000 pages plus about 2,500 references and 6,200 graphs and tables pertinent to electricity usage in non-industrial applications. In addition to the LRC/AEIC abstracts, this document identifies over 100 sources of directly relevant information (in contrast to general interest sources and material of secondary relevance).

Reznek, B.

1978-07-01T23:59:59.000Z

418

u-DRM: A Unified Framework of Digital Rights Management based on RFID and Application of Its Usage Data Summary  

E-Print Network (OSTI)

In the Internet, the digital format of most contents has led to its increased piracy because of the ease of copying and sharing the digital contents. Moreover, the advent of new technologies such as ubiquitous computing seems to cause problems of piracy even more than before. Likewise it’s going to be a more critical issue to control and manage rights of digital contents in the future. Therefore, in this paper, we propose a framework of u-DRM: a unified framework of DRM based on RIFD with watermarking and fingerprinting. The framework consists of two methods using digital mediums and digital contents. And we suggest ways for the application of usage data collected from the proposed framework of u-DRM. Key words:

Jong Hwan Suh; Sang Chan Park

2006-01-01T23:59:59.000Z

419

The Technical and Economical Analysis of the Air-conditioning System Usage in Residential Buildings in Beijing  

E-Print Network (OSTI)

In this paper, we show that the air-conditioning usage in residential buildings in Beijing grows rapidly in relation to the development of civil construction. More and more people are not satisfied with the current style of only using split air-conditioning units in residential buildings, and are using the central air-conditioning system in residential buildings. To determine the best air conditioning mode, a residential tower building with 22 layers was chosen for analysis. The advantages and disadvantages of the central air-conditioning system and the residential multi-unit air-conditioning equipment system and the LiBr absorption chiller were compared based on calculating the first-cost and the annual cost (according to providing cooling 90 days annually). The predicted results show the economical feasibility of using the refrigerating units in air-conditioning systems in Beijing region, and point out the developing directions for the future.

Sheng, G.; Xie, G.

2006-01-01T23:59:59.000Z

420

Summary of treatment, storage, and disposal facility usage data collected from U.S. Department of Energy sites  

SciTech Connect

This report presents an analysis for the US Department of Energy (DOE) to determine the level and extent of treatment, storage, and disposal facility (TSDF) assessment duplication. Commercial TSDFs are used as an integral part of the hazardous waste management process for those DOE sites that generate hazardous waste. Data regarding the DOE sites` usage have been extracted from three sets of data and analyzed in this report. The data are presented both qualitatively and quantitatively, as appropriate. This information provides the basis for further analysis of assessment duplication to be documented in issue papers as appropriate. Once the issues have been identified and adequately defined, corrective measures will be proposed and subsequently implemented.

Jacobs, A.; Oswald, K. [Lockheed Idaho Technologies Co., Idaho Falls, ID (United States); Trump, C. [EG and G Rocky Flats, Golden, CO (United States)

1995-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" 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

FTCP Quarterly Indicator Reports | Department of Energy  

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

Assistance » Federal Technical Capability Program » Assistance » Federal Technical Capability Program » FTCP Quarterly Indicator Reports FTCP Quarterly Indicator Reports November 20, 2013 FTCP Quarterly Report on Federal Technical Capability, November 20, 2013 This Quarterly Report on the Federal Technical Capability Program (FTCP) contains information on the status of qualifications in the Technical Qualification Program (TQP) and technical skill gaps, on a quarterly basis. Report also displays trend data for overall TQP qualification and staffing shortfalls. August 16, 2013 FTCP Quarterly Report on Federal Technical Capability, August 16, 2013 This Quarterly Report on the Federal Technical Capability Program (FTCP) contains information on the status of qualifications in the Technical Qualification Program (TQP) and technical skill gaps, on a quarterly basis.

422

Risk-based plant performance indicators  

SciTech Connect

Tasked by the 1979 President's Commission on the Accident at Three Mile Island, the US nuclear power industry has put into place a performance indicator program as one means for showing a demonstrable record of achievement.'' Largely through the efforts of the Institute of Nuclear Power Operations (INPO), plant performance data has, since 1983, been collected and analyzed to aid utility management in measuring their plants' performance progress. The US Nuclear Regulatory Commission (NRC) has also developed a set of performance indicators. This program, conducted by NRC's Office for the Analysis and Evaluation of Operational Data (AEOD), is structured to present information on plant operational performance in a manner that could enhance the staff's ability to recognize changes in the safety performance. 4 refs., 1 fig., 1 tab.

Boccio, J.L.; Azarm, M.A.; Vesely, W.E.; Hall, R.E.

1989-01-01T23:59:59.000Z

423

Aggregating physical intensity indicators: results of applying the composite indicator approach to the Canadian industrial sector  

E-Print Network (OSTI)

Issues surrounding the development, application and interpretation of energy intensity indicators are a continuing source of debate in the field of energy policy analysis. Although economic energy intensity indicators still dominate intensity/efficiency studies, the use of physical energy intensity indicators is on the rise. In the past, physical energy intensity indicators were not employed since it was often impossible to develop aggregate (sector-level or nation-wide) measures of physical energy intensity due to the difficulties associated with adding diverse physical products. This paper presents the results of research conducted specifically to address this ‘‘aggregation’ ’ problem. The research focused on the development of the Composite Indicator Approach, a simple, practical, alternative method for calculating aggregate physical energy intensity indicators. In this paper, the Composite Indicator Approach is used to develop physical energy intensity indicators for the Canadian industrial and manufacturing sectors, and is then compared to other existing methods of aggregation. The physical composite indicators developed using this approach are also evaluated in terms of their reliability and overall usefulness. Both comparisons suggest that the Composite Indicator Approach can be a useful, and ultimately suitable, way of addressing the aggregation problem typically associated with heterogeneous sectors of the economy. r

Mallika N; John Nyboer; Mark Jaccard

1999-01-01T23:59:59.000Z

424

Residential market transformation: National and regional indicators  

SciTech Connect

A variety of programs are underway to address market barriers to the adoption of energy-efficient residential technologies and practices. Most are administered by utilities, states, or regions that rely on the Energy Star as a consistent platform for program marketing and messaging. This paper reviews regional and national market transformation activities for three key residential end-uses -- air conditioning, clothes washing, and lighting -- characterizing current and ongoing programs; reporting on progress; identifying market indicators; and discussing implications.

Van Wie McGrory, Laura L.; McNamara, Maureen; Suozzo, Margaret

2000-06-01T23:59:59.000Z

425

Stress Indices for Elbows with Trunnion Attachments  

Science Conference Proceedings (OSTI)

Trunnions on elbows are generally used as supports and are also used in some applications as anchors. The qualification of trunnions is an important item in the design and fitness-for-service of many piping systems. This report provides equations, based on experimental and test data, for determining the stress indices, B and C, and the flexibility factor, k, for elbows with hollow circular cross-section attachments (trunnions). The report contains explicit modifications to ASME Code Cases 391 and 392 for...

1998-12-15T23:59:59.000Z

426

Copper mercaptides as sulfur dioxide indicators  

DOE Patents (OSTI)

Organophosphine copper(I) mercaptide complexes are useful as convenient and semiquantitative visual sulfur dioxide gas indicators. The air-stable complexes form 1:1 adducts in the presence of low concentrations of sulfur dioxide gas, with an associated color change from nearly colorless to yellow-orange. The mercaptides are made by mixing stoichiometric amounts of the appropriate copper(I) mercaptide and phosphine in an inert organic solvent.

Eller, Phillip G. (Los Alamos, NM); Kubas, Gregory J. (Los Alamos, NM)

1979-01-01T23:59:59.000Z

427

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

SciTech Connect

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

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

2007-12-31T23:59:59.000Z

428

Fischer-Tropsch Synthesis: Influence of CO Conversion on Selectivities H2/CO Usage Ratios and Catalyst Stability for a 0.27 percent Ru 25 percent Co/Al2O3 using a Slurry Phase Reactor  

SciTech Connect

The effect of CO conversion on hydrocarbon selectivities (i.e., CH{sub 4}, C{sub 5+}, olefin and paraffin), H{sub 2}/CO usage ratios, CO{sub 2} selectivity, and catalyst stability over a wide range of CO conversion (12-94%) on 0.27%Ru-25%Co/Al{sub 2}O{sub 3} catalyst was studied under the conditions of 220 C, 1.5 MPa, H{sub 2}/CO feed ratio of 2.1 and gas space velocities of 0.3-15 NL/g-cat/h in a 1-L continuously stirred tank reactor (CSTR). Catalyst samples were withdrawn from the CSTR at different CO conversion levels, and Co phases (Co, CoO) in the slurry samples were characterized by XANES, and in the case of the fresh catalysts, EXAFS as well. Ru was responsible for increasing the extent of Co reduction, thus boosting the active site density. At 1%Ru loading, EXAFS indicates that coordination of Ru at the atomic level was virtually solely with Co. It was found that the selectivities to CH{sub 4}, C{sub 5+}, and CO{sub 2} on the Co catalyst are functions of CO conversion. At high CO conversions, i.e. above 80%, CH{sub 4} selectivity experienced a change in the trend, and began to increase, and CO{sub 2} selectivity experienced a rapid increase. H{sub 2}/CO usage ratio and olefin content were found to decrease with increasing CO conversion in the range of 12-94%. The observed results are consistent with water reoxidation of Co during FTS at high conversion. XANES spectroscopy of used catalyst samples displayed spectra consistent with the presence of more CoO at higher CO conversion levels.

W Ma; G Jacobs; Y Ji; T Bhatelia; D Bukur; S Khalid; B Davis

2011-12-31T23:59:59.000Z

429

Leaning Juniper 2A | Open Energy Information  

Open Energy Info (EERE)

Leaning Juniper 2A Leaning Juniper 2A Jump to: navigation, search Name Leaning Juniper 2A Facility Leaning Juniper 2A Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Iberdrola Renewables Developer Iberdrola Renewables Energy Purchaser Bonneville Power Admin Location 3 miles southwest of Arlington OR Coordinates 45.646628°, -120.24145° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.646628,"lon":-120.24145,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

430

Lithium Polymer (LiPo) Battery Usage Lithium polymer batteries are now being widely used in hobby and UAV applications. They work  

E-Print Network (OSTI)

Lithium Polymer (LiPo) Battery Usage 1 Lithium polymer batteries are now being widely used in hobby nickel metal and ni-cad batteries. But with this increase in battery life come potential hazards. Use batteries with a battery charger specifically designed for lithium polymer batteries. As an example, you

Langendoen, Koen

431

Economic impact of energy shortages on commercial air transportation and aviation manufacture. Volume 2. Aviation industries profiles and energy usage characteristics  

SciTech Connect

The purpose of this study was to determine the economic impact of energy scarcity on the air transportation industry. Volume II provides a data base on the characteristics and operating performances of the air transportation industry and the aircraft, engines, and parts manufacturing industries, including energy usage characteristics and efficiency. (BYB)

Gorham, J.E.; Gross, D.; Snipes, J.C.

1975-06-01T23:59:59.000Z

432

Graph clustering with network structure indices  

E-Print Network (OSTI)

Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan-Newman method based on edge betweenness centrality. We show that they can be effective at discovering the latent groups or communities that are defined by the link structure of a graph. However, both approaches rely on prohibitively expensive computations, given the size of modern relational data sets. Network structure indices (NSIs) are a proven technique for indexing network structure and efficiently finding short paths. We show how incorporating NSIs into these graph clustering algorithms can overcome these complexity limitations. We also present promising quantitative and qualitative evaluations of the modified algorithms on synthetic and real data sets. 1.

Matthew J. Rattigan; Marc Maier; David Jensen

2007-01-01T23:59:59.000Z

433

PMC-F.F2a  

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

F.F2a F.F2a u.s. DEPARTl\IIENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERl\:ITNATION RECIPIENT:Washington Slate University STATE: WA PROJECT TITLE: Algae 8iofuels Research Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number COP OE-EE0003112 GFO-0003112-001 EE31 12 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.1A), I have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: A9 Information gathering (including, but not limited to, literature surveys, inventories, audits), data analysis (including computer modeling), document preparation (such as conceptual design or feasibility studies, analytical energy supply

434

PNIC.F.F2a  

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

F.F2a F.F2a (2.0 COI) U.S. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION RECIPIENT:Microlink Devices STATE: IL PROJECT High Efficiency, Low-Cost, Multijunction Solar Cells Based on Epitaxial Liftoff and Wafer Bonding; NREL TITLE : Tracking No. 09-041 Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number GO-09-041 G010337 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.1A), I have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: B3.6 Siting, construction (or modification), operation, and decommissioning of facilities for indoor bench-scale research projects and conventional laboratory operations (for example, preparation of chemical standards and sample analysis);

435

PMC.F.F2a  

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

PMC.F.F2a PMC.F.F2a (3A 602 U.S. DEPARTMENT OF ENERGY SERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION RECIPIENT:General Electric, GE Global Research STATE: NY PROJECT TITLE : Pressure Sensor and Telemetry Methods for measurement while drilling in Geothermal wells Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number DE- FOA- EE0000075 DE-EE0002755 GFO-10-122 G02755 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.IA), I have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: A9 Information gathering (including, but not limited to, literature surveys, inventories, audits), data analysis (including computer modeling), document preparation (such as conceptual design or feasibility studies, analytical energy supply

436

PN1C.EF2a  

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

C.EF2a C.EF2a (.0 U.S. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERI1 ITNATION RECIPIENT:Parker Hannifin STATE: IN PROJECI TITLE : Energy Efficient Electronics Cooling Project Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number CDP DE-EE0000412 GFO-10-043 0 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.1A), I have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: B3.6 Siting, construction (or modification), operation, and decommissioning of facilities for indoor bench-scale research projects and conventional laboratory operations (for example, preparation of chemical standards and sample analysis);

437

PMC-F F2a  

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

F F2a F F2a 0.0102:o U.S. DER-UITAIENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION RECIPIENT:Pacific Energy Ventures, LLC STATE: CO PROJECT TITLE : Active Acoustic Deterrence of Migratory Whales Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number DE-FOA-0000069 EE0002660 GFO-10-036 0 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.1 A), I have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Descript ion: B3.3 Field and laboratory research, inventory, and information collection activities that are directly related to the conservation of fish or wildlife resources and that involve only negligible habitat destruction or population reduction

438

PNIC.F.F2a  

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

PNIC.F.F2a PNIC.F.F2a 2.4) CO2 us. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION RECIPIENT:Baker Hughes Oilfield Operations Inc. STATE: CO PROJECT TITLE : High Temperature 3000 Directional Drilling System Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number DE-FOA-EE0000075 DE-EE0002782 CFO-10-104 2782 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.1A), I have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: A9 Information gathering (including, but not limited to, literature surveys, inventories, audits), data analysis (including computer modeling), document preparation (such as conceptual design or feasibility studies, analytical energy supply

439

Metabolic effects of CYP2A6 and CYP2A13 on 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK)-induced gene mutation-A mammalian cell-based mutagenesis approach  

SciTech Connect

Both cytochrome P450 2A6 (CYP2A6) and cytochrome P450 2A13 (CYP2A13) are involved in metabolic activation of tobacco-specific nitrosamines and may play important roles in cigarette smoking-induced lung cancer. Unlike CYP2A6, effects of CYP2A13 on the tobacco-specific nitrosamine-induced mutagenesis in lung cells remain unclear. This study uses a supF mutagenesis assay to examine the relative effects of CYP2A6 and CYP2A13 on metabolic activation of a tobacco-specific nitrosamine, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), and its resulting mutagenesis in human lung cells. A recombinant adenovirus-mediated CYP2A6/CYP2A13 expression system was established to specifically address the relative effects of these two CYPs. Mutagenesis results revealed that both CYP2A6 and CYP2A13 significantly enhanced the NNK-induced supF mutation and that the mutagenic effect of CYP2A13 was markedly higher than that of CYP2A6. Analysis of NNK metabolism indicated that {>=} 70% of NNK was detoxified to 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), either with or without CYP2A6/CYP2A13 expression. Both CYP2A6 and CYP2A13 significantly enhanced the {alpha}-hydroxylation of NNK; and the {alpha}-hydroxylation activity of CYP2A13 was significantly higher than that of CYP2A6. Analysis of the NNK-related DNA adduct formation indicated that, in the presence of CYP2A13, NNK treatments caused marked increases in O{sup 6}-methylguanine (O{sup 6}-MeG). The present results provide the first direct in vitro evidence demonstrating the predominant roles of CYP2A13 in NNK-induced mutagenesis, possibly via metabolic activation of NNK {alpha}-hydroxylation.

Chiang, Huai-chih [Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 114, Taiwan (China); Laboratory of Molecular Toxicology, Division of Environmental Health and Occupational Medicine, National Health Research Institutes, Zhunan, Miaoli County 35053, Taiwan (China); Wang, Chin-Ying [Laboratory of Molecular Toxicology, Division of Environmental Health and Occupational Medicine, National Health Research Institutes, Zhunan, Miaoli County 35053, Taiwan (China); Lee, Hui-Ling [Laboratory of Molecular Toxicology, Division of Environmental Health and Occupational Medicine, National Health Research Institutes, Zhunan, Miaoli County 35053, Taiwan (China); Department of Chemistry, Fu Jen Catholic University, Xinzhuang District, New Taipei City 24205, Taiwan (China); Tsou, Tsui-Chun, E-mail: tctsou@nhri.org.tw [Graduate Institute of Life Sciences, National Defense Medical Center, Taipei 114, Taiwan (China); Laboratory of Molecular Toxicology, Division of Environmental Health and Occupational Medicine, National Health Research Institutes, Zhunan, Miaoli County 35053, Taiwan (China)

2011-06-01T23:59:59.000Z

440

Complexity index indicates refinery capability, value  

Science Conference Proceedings (OSTI)

Refinery size usually is measured in terms of distillation capacity. Relative size, however, can be measured using refinery complexity--a concept developed by W.L. Nelson in the 1960s. Nelson developed the complexity index to quantify the relative cost of components that make up a refinery. It is a pure cost index that provides a relative measure of the construction costs of a particular refinery based on its crude and upgrading capacity. The Nelson index compares the costs of various upgrading units--such as a fluid catalytic cracking (FCC) unit or a catalytic reformer--to the cost of a crude distillation unit. Computation of the index is an attempt to quantify the relative cost of a refinery based on the added cost of various upgrading units and the relative upgrading capacity. A review of complexity calculations, and an explanation of how indices have changed, provide a simple means of determining the complexity of single refineries or refining regions. The impact of complexity on product slate is also examined in this paper.

Johnston, D. [Daniel Johnston and Co. Inc., Dallas, TX (United States)

1996-03-18T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" from the National Library of EnergyBeta (NLEBeta).
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441

Optimizing Candidate Check Costs for Bitmap Indices  

SciTech Connect

In this paper, we propose a new strategy for optimizing the placement of bin boundaries to minimize the cost of query evaluation using bitmap indices with binning. For attributes with a large number of distinct values, often the most efficient index scheme is a bitmap index with binning. However, this type of index may not be able to fully resolve some user queries. To fully resolve these queries, one has to access parts of the original data to check whether certain candidate records actually satisfy the specified conditions. We call this procedure the candidate check, which usually dominates the total query processing time. Given a set of user queries, we seek to minimize the total time required to answer the queries by optimally placing the bin boundaries. We show that our dynamic programming based algorithm can efficiently determine the bin boundaries. We verify our analysis with some real user queries from the Sloan Digital Sky Survey. For queries that require significant amount of time to perform candidate check, using our optimal bin boundaries reduces the candidate check time by a factor of 2 and the total query processing time by 40 percent.

Rotem, Doron; Stockinger, Kurt; Wu, Kesheng

2005-07-10T23:59:59.000Z

442

Assessment of current cybersecurity practices in the public domain : cyber indications and warnings domain.  

SciTech Connect

This report assesses current public domain cyber security practices with respect to cyber indications and warnings. It describes cybersecurity industry and government activities, including cybersecurity tools, methods, practices, and international and government-wide initiatives known to be impacting current practice. Of particular note are the U.S. Government's Trusted Internet Connection (TIC) and 'Einstein' programs, which are serving to consolidate the Government's internet access points and to provide some capability to monitor and mitigate cyber attacks. Next, this report catalogs activities undertaken by various industry and government entities. In addition, it assesses the benchmarks of HPC capability and other HPC attributes that may lend themselves to assist in the solution of this problem. This report draws few conclusions, as it is intended to assess current practice in preparation for future work, however, no explicit references to HPC usage for the purpose of analyzing cyber infrastructure in near-real-time were found in the current practice. This report and a related SAND2010-4766 National Cyber Defense High Performance Computing and Analysis: Concepts, Planning and Roadmap report are intended to provoke discussion throughout a broad audience about developing a cohesive HPC centric solution to wide-area cybersecurity problems.

Hamlet, Jason R.; Keliiaa, Curtis M.

2010-09-01T23:59:59.000Z

443

EVSE Features Charge Delay Option Power Light Indicator Eight-segment Progress Indicator Auto-restart  

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

Charge Delay Option Power Light Indicator Charge Delay Option Power Light Indicator Eight-segment Progress Indicator Auto-restart EVSE Specifications Grid connection Plug and cord NEMA 6-50 Connector type J1772 Test lab certifications UL Listed Approximate size (H x W x D inches) 10 x 13 x 4 Charge level AC Level 2 Input voltage 240 VAC Maximum input current 30 Amp Circuit breaker rating 40 Amp Test Conditions 1 Test date 10/30/2012 Nominal supply voltage (Vrms) 209.04 Supply frequency (Hz) 59.99 Initial ambient temperature (°F) 64 Test Vehicle 1,3 Make and model 2012 Chevrolet Volt Battery type Li-ion Steady state charge power (AC kW) 3.09 Maximum charge power (AC kW) 3.20 EVSE Test Results 1,2,4

444

Review of sustainability indices and indicators: Towards a new City Sustainability Index (CSI)  

SciTech Connect

The purpose of this paper is to discuss conceptual requirements for a City Sustainability Index (CSI) and to review existing major sustainability indices/indicators in terms of the requirements. The following indices are reviewed: Ecological Footprint (EF), Environmental Sustainability Index (ESI), Dashboard of Sustainability (DS), Welfare Index, Genuine Progress Indicator (GPI), Index of Sustainable Economic Welfare, City Development Index, emergy/exergy, Human Development Index (HDI), Environmental Vulnerability Index (EVI), Environmental Policy Index (EPI), Living Planet Index (LPI), Environmentally-adjusted Domestic Product (EDP), Genuine Saving (GS), and some applications of composite indices or/and multivariate indicators to local or regional context as case studies. The key conceptual requirements for an adequate CSI are: (i) to consider environmental, economic and social aspects (the triple bottom line of sustainability) from the viewpoint of strong sustainability; (ii) to capture external impacts (leakage effects) of city on other areas beyond the city boundaries particularly in terms of environmental aspects; (iii) to create indices/indicators originally for the purpose of assessing city sustainability; and (iv) to be able to assess world cities in both developed and developing countries using common axes of evaluation. Based on the review, we conclude that it is necessary to create a new CSI that enables us to assess and compare cities' sustainability performance in order to understand the global impact of cities on the environment and human life as compared with their economic contribution. In the future, the CSI will be able to provide local authorities with guidance toward sustainable paths. - Highlights: Black-Right-Pointing-Pointer We derive the four key requirements for a new City Sustainability Index (CSI) system. Black-Right-Pointing-Pointer First, the triple bottom line must be considered in terms of strong sustainability. Black-Right-Pointing-Pointer Second, environmental leakage effects beyond city boundaries should be captured. Black-Right-Pointing-Pointer Third, 'city sustainability' should be originally considered when CSI is created. Black-Right-Pointing-Pointer Fourth, cities in developed and developing countries can be evaluated without bias.

Mori, Koichiro, E-mail: kmori@iis.u-tokyo.ac.jp [Institute of Industrial Science, University of Tokyo (Japan); Christodoulou, Aris, E-mail: aris.christodoulou@ucl.ac.uk [Centre for Transport Studies, University College London (United Kingdom)

2012-01-15T23:59:59.000Z

445

NIST Switch usage instructions  

Science Conference Proceedings (OSTI)

NIST ITG. How to use. Make sure the label module is loaded and start the RSVP daemon. To send RSVP path messages ...

2013-09-12T23:59:59.000Z

446

NIST Net usage instructions  

Science Conference Proceedings (OSTI)

NIST. How to use the emulation package. Before running NIST Net, the kernel emulator module must be installed through ...

2013-09-12T23:59:59.000Z

447

Description Usage Details  

E-Print Network (OSTI)

R topics documented: harvard........................................... 2 michigan.......................................... 2 stanford........................................... 3 Index 4 1 2 michigan harvard A Harvard study on lung cancer gene expression

Robert Scharpf; Simens Zhong; Maintainer Robert Scharpf; Depends R; Lazyload Yes

2013-01-01T23:59:59.000Z

448

Model of Procedure Usage – Results from a Qualitative Study to Inform Design of Computer-Based Procedures  

SciTech Connect

The nuclear industry is constantly trying to find ways to decrease the human error rate, especially the human errors associated with procedure use. As a step toward the goal of improving procedure use performance, researchers, together with the nuclear industry, have been looking at replacing the current paper-based procedures with computer-based procedure systems. The concept of computer-based procedures is not new by any means; however most research has focused on procedures used in the main control room. Procedures reviewed in these efforts are mainly emergency operating procedures and normal operating procedures. Based on lessons learned for these previous efforts we are now exploring a more unknown application for computer based procedures - field procedures, i.e. procedures used by nuclear equipment operators and maintenance technicians. The Idaho National Laboratory, the Institute for Energy Technology, and participants from the U.S. commercial nuclear industry are collaborating in an applied research effort with the objective of developing requirements and specifications for a computer-based procedure system to be used by field operators. The goal is to identify the types of human errors that can be mitigated by using computer-based procedures and how to best design the computer-based procedures to do this. The underlying philosophy in the research effort is “Stop – Start – Continue”, i.e. what features from the use of paper-based procedures should we not incorporate (Stop), what should we keep (Continue), and what new features or work processes should be added (Start). One step in identifying the Stop – Start – Continue was to conduct a baseline study where affordances related to the current usage of paper-based procedures were identified. The purpose of the study was to develop a model of paper based procedure use which will help to identify desirable features for computer based procedure prototypes. Affordances such as note taking, markups, sharing procedures between fellow coworkers, the use of multiple procedures at once, etc. were considered. The model describes which affordances associated with paper based procedures should be transferred to computer-based procedures as well as what features should not be incorporated. The model also provides a means to identify what new features not present in paper based procedures need to be added to the computer-based procedures to further enhance performance. The next step is to use the requirements and specifications to develop concepts and prototypes of computer-based procedures. User tests and other data collection efforts will be conducted to ensure that the real issues with field procedures and their usage are being addressed and solved in the best manner possible. This paper describes the baseline study, the construction of the model of procedure use, and the requirements and specifications for computer-based procedures that were developed based on the model. It also addresses how the model and the insights gained from it were used to develop concepts and prototypes for computer based procedures.

Johanna H Oxstrand; Katya L Le Blanc

2012-07-01T23:59:59.000Z

449

Data:Eac1dd3a-0268-4e5c-b1d1-ed9feeb2a12a | Open Energy Information  

Open Energy Info (EERE)

dd3a-0268-4e5c-b1d1-ed9feeb2a12a dd3a-0268-4e5c-b1d1-ed9feeb2a12a No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Ameren Illinois Company Effective date: 2010/11/19 End date if known: Rate name: DS-2 and BGS-2 Zone 2 - Bundled Small General Delivery Service 600V or Less Sector: Commercial Description: AVAILABILITY Service under this Rate is available for any eligible Non-Residential Customer within the territory served by Company that meets the following criteria: Customers served under this Rate shall have a maximum monthly Demand of less than 150 kilowatts (kW) as qualified in the Delivery Service Rate Reassignment section. A Customer without a demand meter installed, but with an average usage of less than 1,200 kWh per day during each monthly billing period will be normally assumed to have a maximum monthly Demand of less than 150 kW. Where Customer's average daily usage is 1,200 kWh per day or more in any monthly billing period, Company may install a demand meter at Company's expense to determine if Customer remains eligible for service under this Rate.

450

Data:9ddbf9fa-670f-4f44-a2a7-c4f99b90b634 | Open Energy Information  

Open Energy Info (EERE)

ddbf9fa-670f-4f44-a2a7-c4f99b90b634 ddbf9fa-670f-4f44-a2a7-c4f99b90b634 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Norcross, Georgia (Utility Company) Effective date: 2008/04/01 End date if known: Rate name: Commercial Non-Demand Service Sector: Commercial Description: To non-residential customers where monthly energy consumption is less than 3,000 kWh per month. The city will annually review each applicable customer's usage history. Where the maximum monthly kWh usage is greater than 3,000, the customer will be transferred to the Commercial Demand tariff. A high load factor customer served under this rate schedule may petition the City to be reclassified to the Commercial Demand tariff.

451

Sustainability Indicators for Discrete Manufacturing Processes Applied to Grinding Technology  

E-Print Network (OSTI)

In this study, the indicator “Energy intensity” measures thehappens in the indicators labor intensity, energy intensity,indicators are displayed in Table 1 and are assessed as described in the following: • “Energy intensity”

Linke, Barbara S.; Corman, Gero J.; Dornfeld, David A.; Tönissen, Stefan

2013-01-01T23:59:59.000Z

452

Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid...  

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

Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid Phase Computer Simulations Indicate Calcium Carbonate Has a Dense Liquid Phase Berkeley Lab research could help...

453

EVSE Features Power Limiter Switch LED Power Indicator LED...  

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

Limiter Switch LED Power Indicator LED Charge Indicator EVSE Specifications Grid connection Plug and cord NEMA 6-50 Connector type J1772 Test lab certifications UL Listed...

454

Data:6a188798-a8fb-47e2-a28c-b02d550e3f84 | Open Energy Information  

Open Energy Info (EERE)

88798-a8fb-47e2-a28c-b02d550e3f84 88798-a8fb-47e2-a28c-b02d550e3f84 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Oklahoma Electric Coop Inc Effective date: 2012/01/01 End date if known: Rate name: Industrial Time-of-Peak Primary Service Sector: Industrial Description: To members located on or near Cooperative's distribution lines for commercial and industrial usage, subject to the established Terms and Conditions of the Cooperative. This schedule is not applicable to breakdown, standby, supplementary or resale service. Source or reference: http://www.okcoop.org/services/rates.aspx Source Parent:

455

Data:Cb50eb9f-499f-48e2-a102-90fa4e86ebbb | Open Energy Information  

Open Energy Info (EERE)

Cb50eb9f-499f-48e2-a102-90fa4e86ebbb Cb50eb9f-499f-48e2-a102-90fa4e86ebbb No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Sullivan, Illinois (Utility Company) Effective date: 2012/11/13 End date if known: Rate name: Commercial All Electric (Including Heat) - Year Round Rate: Three Phase - 30-150 kva installation Sector: Industrial Description: For customers with usage of less than twenty-five thousand (25,000) KWH per month and certain seasonal customers such as grain elevators and fertilizer plants. Source or reference: http://www.sullivanil.us/government.html Source Parent: Comments

456

Data:2b9af62e-7f95-4c2d-844e-2dbd9390ed2a | Open Energy Information  

Open Energy Info (EERE)

af62e-7f95-4c2d-844e-2dbd9390ed2a af62e-7f95-4c2d-844e-2dbd9390ed2a No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Atlantic City Electric Co Effective date: 2013/02/01 End date if known: Rate name: SPL Experimental Light Emitting Diode Cobra Head 250 W Sector: Lighting Description: The following rates shall be applied to the kWh Usage for the particular light type and size to determine the monthly charge per light. Source or reference: http://www.atlanticcityelectric.com/_res/documents/NJTariffSectionIV.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months):

457

Data:Da32ebc5-2a35-4448-a304-42dd3832f141 | Open Energy Information  

Open Energy Info (EERE)

-2a35-4448-a304-42dd3832f141 -2a35-4448-a304-42dd3832f141 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Platte-Clay Electric Coop, Inc Effective date: 2013/01/01 End date if known: Rate name: SL - 175 watt MV Yard Light Sector: Lighting Description: Available for lighting streets, walkways, or outdoor lighting of public or private areas when such facilities are operated and maintained as an extension of the Cooperative's distribution system. Electric usage will be unmetered. Source or reference: Rate Binder Kelly 11 ISU Documentation Source Parent: Comments Applicability Demand (kW)

458

Data:B81f8063-818e-4230-9949-c2a5e0fecc41 | Open Energy Information  

Open Energy Info (EERE)

1f8063-818e-4230-9949-c2a5e0fecc41 1f8063-818e-4230-9949-c2a5e0fecc41 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Delaware Electric Cooperative Effective date: 2011/02/01 End date if known: Rate name: General Service--Schedule GS-TOU Sector: Commercial Description: This rate is available to those members whose service accommodates the necessary metering requirements: a. Whose usage for the past year exceeds 1,500 kilowatt hours each month of the year, and b. This rate may be limited to a maximum of 500 Members requesting service Source or reference: http://www.delaware.coop/my-services/commercial-and-industrial/billing/rates

459

Data:B52794e8-7635-44d6-8e2a-91caeddcbf51 | Open Energy Information  

Open Energy Info (EERE)

e8-7635-44d6-8e2a-91caeddcbf51 e8-7635-44d6-8e2a-91caeddcbf51 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Grantville, Georgia (Utility Company) Effective date: End date if known: Rate name: Commercial Small-Monthly Sector: Commercial Description: Applicable to all non-residential uses where the average monthly metered energy usage is less than 3,000KWh Source or reference: Rate Binder#2 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service

460

Miniaturized Analytical Platforms From Nanoparticle Components: Studies in the Construction, Characterization, and High-Throughput Usage of These Novel Architectures  

Science Conference Proceedings (OSTI)

The scientific community has recently experienced an overall effort to reduce the physical size of many experimental components to the nanometer size range. This size is unique as the characteristics of this regime involve aspects of pure physics, biology, and chemistry. One extensively studied example of a nanometer sized experimental component, which acts as a junction between these three principle scientific theologies, is deoxyribonucleic acid (DNA) or ribonucleic acid (RNA). These biopolymers not only contain the biological genetic guide to code for the production of life-sustaining materials, but are also being probed by physicists as a means to create electrical circuits and furthermore as controllable architectural and sensor motifs in the chemical disciplines. Possibly the most common nano-sized component between these sciences are nanoparticles composed of a variety of materials. The cross discipline employment of nanoparticles is evident from the vast amount of literature that has been produced from each of the individual communities within the last decade. Along these cross-discipline lines, this dissertation examines the use of several different types of nanoparticles with a wide array of surface chemistries to understand their adsorption properties and to construct unique miniaturized analytical and immunoassay platforms. This introduction will act as a literature review to provide key information regarding the synthesis and surface chemistries of several types of nanoparticles. This material will set the stage for a discussion of assembling ordered arrays of nanoparticles into functional platforms, architectures, and sensors. The introduction will also include a short explanation of the atomic force microscope that is used throughout the thesis to characterize the nanoparticle-based structures. Following the Introduction, four research chapters are presented as separate manuscripts. Chapter 1 examines the self-assembly of polymeric nanoparticles exhibiting a variety of surface chemistries and attempts to deconvolute general adsorption rules for their assembly on various substrates. Chapter 2 extends the usage of self-assembly of polymeric nanoparticles through a layer-by-layer deposition concept and photolithography methodologies to create analytical platforms with a vertical height controlled within the nanometer regime. This platform is then furthered in Chapter 3 by employing this integrated concept as a bio-recognition platform, with the extension of the method to a high-throughput screening system explored. Chapter 4 exploits two different types of nanoparticles, silica and gold, as multiplexed, self-assembled immunoassay sensors. This final research chapter is followed by a general summation and future prospectus section that concludes the dissertation.

Andrew David Pris

2003-08-05T23:59:59.000Z

Note: This page contains sample records for the topic "2a usage indicators" 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

DOE Hydrogen Analysis Repository: H2A Production Model  

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

Production Model Project Summary Full Title: H2A Hydrogen Production Cost Analysis Model Project ID: 219 Principal Investigator: Todd Ramsden Brief Description: The H2A Production...

462

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2011 Institute for Economic and Environmental Studies (IEES), Califo  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2011 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

463

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2011 Institute for Economic and Environmental Studies (IEES), Cal  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2011 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

464

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2012 Institute for Economic and Environmental Studies (IEES), C  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

465

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2011 Institute for Economic and Environmental Studies (IEES), C  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2011 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

466

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator February 2012 Institute for Economic and Environmental Studies (IEES), C  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator February 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

467

Southern California Leading Economic IndicatorSouthern California Leading Economic IndicatorSouthern California Leading Economic IndicatorSouthern California Leading Economic Indicator May 2010 Institute for Economic and Environmental Studies (IEES), Cal  

E-Print Network (OSTI)

Southern California Leading Economic IndicatorSouthern California Leading Economic IndicatorSouthern California Leading Economic IndicatorSouthern California Leading Economic Indicator May 2010 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

468

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2012 Institute for Economic and Environmental Studies (IEES), Califo  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator May 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

469

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2010 Institute for Economic and Environmental Studies (IEES), C  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator November 2010 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

470

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2012 Institute for Economic and Environmental Studies (IEES), Cal  

E-Print Network (OSTI)

Southern California Leading EconomicSouthern California Leading EconomicSouthern California Leading EconomicSouthern California Leading Economic IndicatorIndicatorIndicatorIndicator August 2012 © Institute for Economic and Environmental Studies (IEES), California State University Fullerton Adrian R. Fleissig, Ph

de Lijser, Peter

471

FCT Systems Analysis: DOE H2A Analysis  

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

H2A Analysis to someone by H2A Analysis to someone by E-mail Share FCT Systems Analysis: DOE H2A Analysis on Facebook Tweet about FCT Systems Analysis: DOE H2A Analysis on Twitter Bookmark FCT Systems Analysis: DOE H2A Analysis on Google Bookmark FCT Systems Analysis: DOE H2A Analysis on Delicious Rank FCT Systems Analysis: DOE H2A Analysis on Digg Find More places to share FCT Systems Analysis: DOE H2A Analysis on AddThis.com... Home Analysis Methodologies DOE H2A Analysis Scenario Analysis Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel Cells Technology Validation Manufacturing Codes & Standards Education Contacts DOE H2A Analysis Realistic assumptions, both market- and technology-based, are critical to an accurate analytical study. DOE's H2A Analysis Group develops the

472

3Q CY2011 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2011 (PDF), Facility Representative Program Performance 3Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the Period July through September 2011. Data for these indicators were gathered by Field Elements per Department of Energy's (DOE) Technical Standard (STD) 1063-2011, Facility Representatives, and reported to Headquarters Program Offices for evaluation and feedback to improve the FR Program. Facility Representative Program Performance Indicators for July - September 2011 More Documents & Publications 3Q CY2010 (PDF), Facility Representative Program Performance Indicators

473

1Q CY2012 (PDF), Facility Representative Program Performance Indicators  

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

1Q CY2012 (PDF), Facility Representative Program Performance 1Q CY2012 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2012 (PDF), Facility Representative Program Performance Indicators Quarterly Report This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January through March 2012. Data for these indicators were gathered by Field elements per Department of Energy (DOE) Technical Standarf 1063-2011, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. Facility Representative Program Performance Indicators for January-March 2012 More Documents & Publications 1Q CY2011 (PDF), Facility Representative Program Performance Indicators

474

Data:99507272-4798-4496-92e4-88679bc43a2a | Open Energy Information  

Open Energy Info (EERE)

7272-4798-4496-92e4-88679bc43a2a 7272-4798-4496-92e4-88679bc43a2a No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Modesto Irrigation District Effective date: 2011/01/01 End date if known: Rate name: Schedule FL Flat Rate Service-Not Exceeding 50% Load Factor 201 - 400 Watt Sector: Commercial Description: Applicability This Schedule is applicable to small, constant, non-metered incidental loads for utilities, communication agencies, state agencies, and applicable special districts where the customer owns and maintains the equipment. The customer must supply equipment wattage to the District. Such loads would include: Cathodic Protection Stations Motor Radial Gates Pressure Point Automatic Watering Systems Flashing Beacons Sign Illumination Communication Power Booster Devices Monthly Usage: 77kWh

475

Climate Analysis Indicators Tool (CAIT) | Open Energy Information  

Open Energy Info (EERE)

Climate Analysis Indicators Tool (CAIT) Climate Analysis Indicators Tool (CAIT) (Redirected from Climate Analysis Indicators Tool) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: WRI Climate Analysis Indicators Tool Agency/Company /Organization: World Resources Institute Sector: Climate, Energy, Land Topics: GHG inventory Resource Type: Dataset, Software/modeling tools User Interface: Website Website: cait.wri.org/ Language: English WRI Climate Analysis Indicators Tool Screenshot References: Climate Analysis Indicators Tool[1] CAIT is the Climate Analysis Indicators Tool -- an information and analysis tool on global climate change. It provides a comprehensive and comparable database of greenhouse gas emissions data (including all major sources and sinks) and other climate-relevant indicators. CAIT can be used to analyze a

476

Identification of performance indicators for nuclear power plants  

E-Print Network (OSTI)

Performance indicators have been assuming an increasingly important role in the nuclear industry. An integrated methodology is proposed in this research for the identification and validation of performance indicators for ...

Sui, Yu, 1973-

2001-01-01T23:59:59.000Z

477

The Quantification of Drought: An Evaluation of Drought Indices  

Science Conference Proceedings (OSTI)

Indices for objectively quantifying the severity of meteorological, agricultural, and hydrological forms of drought are discussed. Indices for each drought form are judged according to six weighted evaluation criteria: robustness, tractability, ...

John Keyantash; John A. Dracup

2002-08-01T23:59:59.000Z

478

Development of a Low-Carbon Indicator System for China  

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

Development of a Low-Carbon Indicator System for China Title Development of a Low-Carbon Indicator System for China Publication Type Report LBNL Report Number LBNL-5243E Year of...

479

Energy efficiency indicators for high electric-load buildings  

Science Conference Proceedings (OSTI)

Energy per unit of floor area is not an adequate indicator for energy efficiency in high electric-load buildings. For two activities, restaurants and computer centres, alternative indicators for energy efficiency are discussed.

Aebischer, Bernard; Balmer, Markus A.; Kinney, Satkartar; Le Strat, Pascale; Shibata, Yoshiaki; Varone, Frederic

2003-06-01T23:59:59.000Z

480

Model Based Load Indices (MBLI) for Scientific Stefan P. Muszala  

E-Print Network (OSTI)

Model Based Load Indices (MBLI) for Scientific Simulation by Stefan P. Muszala B.S., B.A. Rutgers and Computer Engineering 2008 #12;This thesis entitled: Model Based Load Indices (MBLI) for Scientific Engineering) Model Based Load Indices (MBLI) for Scientific Simulation Thesis directed by Dr. Daniel Connors

Colorado at Boulder, University of

Note: This page contains sample records for the topic "2a usage indicators" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

A simple empirical redshift indicator for gamma-ray bursts  

E-Print Network (OSTI)

We propose a new empirical redshift indicator for gamma-ray bursts. This indicator is easily computed from the gamma-ray burst spectral parameters, and its duration, and it provides ``pseudo-redshifts'' accurate to a factor two. Possible applications of this redshift indicator are briefly discussed.

J-L Atteia

2003-04-17T23:59:59.000Z

482

Selecting and Evaluating Indicators for the California Current  

E-Print Network (OSTI)

Selecting and Evaluating Indicators for the California Current Selecting Ecosystem Indicators Goals Will Determine the Suite of Indicators It is a significant challenge to select a suite-lived, slow growing fish with a K-selected life history (MacArthur and Wilson 1967, Moyle 2002). Mature

483

Cielo Computational Environment Usage Model With Mappings to ACE Requirements for the General Availability User Environment Capabilities Release Version 1.1  

Science Conference Proceedings (OSTI)

Cielo is a massively parallel supercomputer funded by the DOE/NNSA Advanced Simulation and Computing (ASC) program, and operated by the Alliance for Computing at Extreme Scale (ACES), a partnership between Los Alamos National Laboratory (LANL) and Sandia National Laboratories (SNL). The primary Cielo compute platform is physically located at Los Alamos National Laboratory. This Cielo Computational Environment Usage Model documents the capabilities and the environment to be provided for the Q1 FY12 Level 2 Cielo Capability Computing (CCC) Platform Production Readiness Milestone. This document describes specific capabilities, tools, and procedures to support both local and remote users. The model is focused on the needs of the ASC user working in the secure computing environments at Lawrence Livermore National Laboratory (LLNL), Los Alamos National Laboratory, or Sandia National Laboratories, but also addresses the needs of users working in the unclassified environment. The Cielo Computational Environment Usage Model maps the provided capabilities to the tri-Lab ASC Computing Environment (ACE) Version 8.0 requirements. The ACE requirements reflect the high performance computing requirements for the Production Readiness Milestone user environment capabilities of the ASC community. A description of ACE requirements met, and those requirements that are not met, are included in each section of this document. The Cielo Computing Environment, along with the ACE mappings, has been issued and reviewed throughout the tri-Lab community.

Vigil,Benny Manuel [Los Alamos National Laboratory; Ballance, Robert [SNL; Haskell, Karen [SNL

2012-08-09T23:59:59.000Z

484

2Q CY2006 (PDF), Facility Representative Program Performance Indicators  

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

2Q CY2006 (PDF), Facility Representative Program Performance 2Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report 2Q CY2006 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from April to June 2006. Data for these indicators are gathered by Field elements quarterly per DOE-STD-1063-2000, Facility Representatives and reported to Headquarters program offices for evaluation and feedback to improve the FR program. 2Q CY2006, Facility Representative Program Performance Indicators More Documents & Publications 3Q CY2005 (PDF), Facility Representative Program Performance Indicators Quarterly Report 4Q CY2004 (PDF), Facility Representative Program Performance Indicators

485

Climate Analysis Indicators Tool (CAIT) | Open Energy Information  

Open Energy Info (EERE)

Climate Analysis Indicators Tool (CAIT) Climate Analysis Indicators Tool (CAIT) Jump to: navigation, search Tool Summary Name: WRI Climate Analysis Indicators Tool Agency/Company /Organization: World Resources Institute Sector: Climate, Energy, Land Topics: GHG inventory Resource Type: Dataset, Software/modeling tools User Interface: Website Website: cait.wri.org/ Language: English WRI Climate Analysis Indicators Tool Screenshot References: Climate Analysis Indicators Tool[1] CAIT is the Climate Analysis Indicators Tool -- an information and analysis tool on global climate change. It provides a comprehensive and comparable database of greenhouse gas emissions data (including all major sources and sinks) and other climate-relevant indicators. CAIT can be used to analyze a wide range of climate-related data questions and to help support future

486

Key Science and Engineering Indicators: Digest 2012 | Data.gov  

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

Key Science and Engineering Indicators: Digest 2012 Key Science and Engineering Indicators: Digest 2012 BusinessUSA Data/Tools Apps Challenges Let's Talk BusinessUSA You are here Data.gov » Communities » BusinessUSA » Data Key Science and Engineering Indicators: Digest 2012 Dataset Summary Description This 2012 digest of key S&E indicators is an interactive tool that draws from the National Science Board's (NSB's) Science and Engineering Indicators report. The digest serves to draw attention to important trends and data points from across Indicators and to introduce readers to the data resources available in the report. Tags {science,engineering,indicators,statistics,nsf,nsb,srs,federal,government,education,labor,employment,workforce,research,development,industry,international,global,r&d,technology,patents,"research citations"}

487

Indicators to support environmental sustainability of bioenergy systems  

SciTech Connect

Indicators are needed to assess environmental sustainability of bioenergy systems. Effective indicators will help in the quantification of benefits and costs of bioenergy options and resource uses. We identify 19 measurable indicators for soil quality, water quality and quantity, greenhouse gases, biodiversity, air quality, and productivity, building on existing knowledge and on national and international programs that are seeking ways to assess sustainable bioenergy. Together, this suite of indicators is hypothesized to reflect major environmental effects of diverse feedstocks, management practices, and post-production processes. The importance of each indicator is identified. Future research relating to this indicator suite is discussed, including field testing, target establishment, and application to particular bioenergy systems. Coupled with such efforts, we envision that this indicator suite can serve as a basis for the practical evaluation of environmental sustainability in a variety of bioenergy systems.

Dale, Virginia H [ORNL; Baskaran, Latha Malar [ORNL; Downing, Mark [ORNL; Eaton, Laurence M [ORNL; McBride, Allen [ORNL; Efroymson, Rebecca Ann [ORNL; Garten Jr, Charles T [ORNL; Kline, Keith L [ORNL; Jager, Yetta [ORNL; Mulholland, Patrick J [ORNL; Parish, Esther S [ORNL; Schweizer, Peter E [ORNL; Storey, John Morse [ORNL

2011-01-01T23:59:59.000Z

488

3Q CY2003 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2003 (PDF), Facility Representative Program Performance 3Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative Program Performance Indicators (PIs) Quarterly Report Covering the Period from July to September 2003. Data for these indicators are gathered by Field elements Quarterly per DOE-STD-1063-2000, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback in order to improve the facility Representative Program. 3Q CY2003, Facility Representative Program Performance Indicators More Documents & Publications 2Q CY2003 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2005 (PDF), Facility Representative Program Performance Indicators

489

The Biological Implications of the PP2A Crystal Structure  

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

The Biological Implications of the PP2A Crystal Structure Print The Biological Implications of the PP2A Crystal Structure Print Phosphatases, enzymes that remove a phosphate group from amino-acid substrates, can be subdivided according to their substrate specificity. Myriad evidence has demonstrated that protein phosphatase 2A (PP2A), a family of serine/threonine-specific (Ser/Thr) phosphatases, regulates many, if not most, aspects of cellular activities and is a critical tumor suppressor. A team at the University of Washington recently determined the first crystal structure of a PP2A holoenzyme (a form sufficient for full catalytic activity) composed of three different subunits (i.e., a heterotrimer). Their structure provides a foundation for understanding PP2A regulation, satisfactory mechanistic explanations for human tumorigenic mutations, and the structural basis for understanding PP2A substrate recruitment and specificity, a critical issue, given the high number of PP2A substrates.

490

The Biological Implications of the PP2A Crystal Structure  

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

The Biological Implications of the PP2A Crystal Structure Print The Biological Implications of the PP2A Crystal Structure Print Phosphatases, enzymes that remove a phosphate group from amino-acid substrates, can be subdivided according to their substrate specificity. Myriad evidence has demonstrated that protein phosphatase 2A (PP2A), a family of serine/threonine-specific (Ser/Thr) phosphatases, regulates many, if not most, aspects of cellular activities and is a critical tumor suppressor. A team at the University of Washington recently determined the first crystal structure of a PP2A holoenzyme (a form sufficient for full catalytic activity) composed of three different subunits (i.e., a heterotrimer). Their structure provides a foundation for understanding PP2A regulation, satisfactory mechanistic explanations for human tumorigenic mutations, and the structural basis for understanding PP2A substrate recruitment and specificity, a critical issue, given the high number of PP2A substrates.

491

1Q CY2010 (PDF), Facility Representative Program Performance Indicators  

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

1Q CY2010 (PDF), Facility Representative Program Performance 1Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report "Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from January to March2010. Data for these indicators are gathered by Field elements quarterly per DOE-STD- 1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. Highlights from this report are presented below." 1Q CY2010, Facility Representative Program Performance Indicators More Documents & Publications 1Q CY2011 (PDF), Facility Representative Program Performance Indicators

492

3Q CY2010 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2010 (PDF), Facility Representative Program Performance 3Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2010 (PDF), Facility Representative Program Performance Indicators Quarterly Report This memorandum summarizes the highlights of the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period of July through September 2010. Data for these indicators are gathered by Field elements quarterly per Department of Energy (DOE) Standard (STD)-1063-2006, Facility Representative and reported to Headquarters program offices for evaluation and feedback to improve the FR Program. Facility Representative Program Performance Indicators for July - September 2010 More Documents & Publications 3Q CY2011 (PDF), Facility Representative Program Performance Indicators

493

3Q CY2007 (PDF), Facility Representative Program Performance Indicators  

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

3Q CY2007 (PDF), Facility Representative Program Performance 3Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report 3Q CY2007 (PDF), Facility Representative Program Performance Indicators Quarterly Report Attached is the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the period from July to September 2007. Data for these indicators are gathered by Field elements quarterly per Department of Energy (DOE-STD-1063-2006, Facility Representatives, and reported to Headquarters program offices for evaluation and feedback to improve the FR program. A summary of this quarter 's data concluded: 3Q CY2007, Facility Representative Program Performance Indicators More Documents & Publications 2Q CY2009 (PDF), Facility Representative Program Performance Indicators

494

Climate Analysis Indicators Tool (CAIT) | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Climate Analysis Indicators Tool (CAIT) (Redirected from WRI Climate Analysis Indicators Tool) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: WRI Climate Analysis Indicators Tool Agency/Company /Organization: World Resources Institute Sector: Climate, Energy, Land Topics: GHG inventory Resource Type: Dataset, Software/modeling tools User Interface: Website Website: cait.wri.org/ Language: English WRI Climate Analysis Indicators Tool Screenshot References: Climate Analysis Indicators Tool[1] CAIT is the Climate Analysis Indicators Tool -- an information and analysis

495

Policy Applications of Energy Indicators | Open Energy Information  

Open Energy Info (EERE)

Policy Applications of Energy Indicators Policy Applications of Energy Indicators Jump to: navigation, search Tool Summary Name: Policy Applications of Energy Indicators Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Topics: Co-benefits assessment, Policies/deployment programs Resource Type: Publications Website: www.blackwell-synergy.com/toc/narf/29/4 References: Policy Applications of Energy Indicators[1] "In November 2005, a special issue of the Natural Resources Forum was published on 'Policy Applications of Energy Indicators' based on the ISED programme. To read the full issue, click here. The special issue features articles highlighting how energy indicators were developed, refined and tested by international and regional agencies and national experts to

496

1Q CY2011 (PDF), Facility Representative Program Performance Indicators  

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

1Q CY2011 (PDF), Facility Representative Program Performance 1Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report 1Q CY2011 (PDF), Facility Representative Program Performance Indicators Quarterly Report This memorandum summarizes the Facility Representative (FR) Program Performance Indicators Quarterly Report covering the Period January through March 2011. Data for these indicators were gathered by Field Elements per Department of Energy's (DOE) Technical Standard (STD) 1063-2011, Facility Representatives, and reported to Headquarters Program Offices for evaluation and feedback to improve the FR Program. This report reflects changes in DOE STD 1063-2011 that deleted one indicator and changed the way two others are calculated. The changes are discussed below. Facility Representative Program Performance Indicators for January - March

497

Passive Tamper Indicating Enclosures Incorporating Embedded Optical Fibre  

Science Conference Proceedings (OSTI)

AWE and PNNL are engaged in a technical collaboration investigating techniques to enhance continuity of knowledge over Accountable Items within a verified nuclear weapons dismantlement process. Tamper Indicating Enclosures (TIE) will likely be deployed as part of a chain of custody regime to indicate an unauthorised attempt to access an Accountable Item. This paper looks at the use of passive TIEs incorporating embedded optical fibre; concepts relating to deployment, tamper indication and unique identification will be discussed.

Wynn, Paul; White, Helen; Allen, Keir; Simmons, Kevin L.; Sliva, Paul; Benz, Jacob M.; Tanner, Jennifer E.

2011-08-14T23:59:59.000Z

498

Meteorological and topographical indicators of wind energy for regional assessments  

SciTech Connect

Techniques using meteorological and topographical indicators of wind energy, developed by PNL and applied to the Northwest wind resource assessment, improved the reliability of the analysis of the geographical distribution of wind energy. The identification and application of these indicators led to an improved understanding of the conditions associated with high and low wind energy. Furthermore, these indicators are especially useful in complex terrain and wind-data-sparse areas for obtaining a somewhat realistic estimate of the wind energy resource.

Elliott, D. L.

1979-12-01T23:59:59.000Z

499

Leading Business Performance Indicators for Nuclear Power Enterprises  

Science Conference Proceedings (OSTI)

A collaborative industry effort has reviewed performance indicators (PIs) that are currently collected and monitored for various purposes. This review was conducted to determine which ones, with suitable modification, could be used to provide leading indication of business performance. The intent was to produce a concise list of candidate leading business performance indicators (BPIs) for assistance in managing nuclear power plants. The results of this research can be implemented to improve the evaluatio...

2007-03-29T23:59:59.000Z

500

Chemical maximum humidity indicator update report. Topical report  

SciTech Connect

Raw materials and manufactured parts sometimes must be kept in a controlled-humidity environment. The use of moisture-sensitive systems to indicate the maximum level of humidity exposure is discussed. A chemical indicator made from deliquescent salts and water-soluble dyes provides an irreversible color change at discrete levels of relative humidity. The performance and long-term-stability characteristics of the indicator are described.

Abel, W.B.

1978-11-01T23:59:59.000Z