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


1

Home > Households, Buildings & Industry > Energy Efficiency ...  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Residential Buildings Energy Intensities > Table 4 Total Square Feet of U.S. Housing Units

2

Home > Households, Buildings & Industry > Energy Efficiency Page ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities > Table 8b Glossary U.S. Residential Buildings Primary Energy Intensity

3

Home > Households, Buildings & Industry > Energy Efficiency Page ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities >Table 7a Glossary U.S. Residential Housing Primary Page Last Revised: July 2009

4

Home > Households, Buildings & Industry > Energy Efficiency Page ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities > Table 5c Glossary U.S. Residential Housing Site Page Last Revised: July 2009

5

Home > Households, Buildings & Industry > Energy Efficiency Page ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities >Table 7b Glossary U.S. Residential Housing Primary Energy Intensity

6

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

3 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

7

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

7 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

8

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

0 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

9

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

2 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

10

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

11

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

1 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

12

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

2 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

13

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

4 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

14

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

1 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

15

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

3 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

16

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

7 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

17

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

1 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

18

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

3 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

19

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

90 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

20

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

7 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

Note: This page contains sample records for the topic "building foot household" 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

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

4 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

22

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

0 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

23

Residential Buildings Historical Publications reports, data and...  

Annual Energy Outlook 2012 (EIA)

2 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

24

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 57.3 42.5 99.4 114 49 84.3 33 615 0.26 456 176 Census Region and Division Northeast 11.7 7.4 21.2 139 49 88.5 34 898 0.31 571 221 New England 1.7 1.0 3.0 155 49 86.8 33 1,044 0.33 586 223 Middle Atlantic 10.0 6.5 18.2 137 49 88.8 35 877 0.31 568 221

25

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

3 3 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 58.7 46.0 111.9 115 47 89.9 34 696 0.29 546 206 Census Region and Division Northeast 12.2 7.7 23.3 145 48 90.9 35 1,122 0.37 703 272 New England 2.2 1.2 4.2 154 45 85.7 34 1,298 0.38 722 290 Middle Atlantic 10.0 6.4 19.1 143 48 92.0 35 1,089 0.37 699 269

26

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

Fuel Oil/Kerosene, 2001 Fuel Oil/Kerosene, 2001 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 11.2 9.4 26.0 80 29 67.1 26 723 0.26 607 236 Census Region and Division Northeast 7.1 5.4 16.8 111 36 84.7 33 992 0.32 757 297 New England 2.9 2.5 8.0 110 35 96.3 39 1,001 0.32 875 350 Middle Atlantic 4.2 2.8 8.8 112 36 76.6 30 984 0.32 675 260

27

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 57.7 44.8 106.3 109 46 84.2 32 609 0.26 472 181 Census Region and Division Northeast 11.9 7.7 23.6 134 44 86.8 33 952 0.31 615 232 New England 2.0 1.1 3.5 146 45 76.0 29 1,135 0.35 592 227 Middle Atlantic 9.9 6.6 20.1 133 44 89.1 34 923 0.30 620 234

28

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

4 4 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 55.4 41.3 93.2 121 53 89.9 33 722 0.32 537 198 Census Region and Division Northeast 11.7 7.5 21.1 125 44 79.2 30 925 0.33 588 221 New England 2.0 1.3 4.2 122 39 80.3 29 955 0.30 626 224 Middle Atlantic 9.7 6.1 16.9 125 45 78.9 30 919 0.33 580 220

29

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

1 1 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 7.3 7.2 12.2 44 26 42.8 15 389 0.23 382 133 Census Region and Division Northeast 1.2 1.1 2.7 29 11 26.2 9 318 0.13 288 94 New England 0.5 0.4 1.0 25 11 22.5 8 282 0.12 250 91 Middle Atlantic 0.7 0.7 1.7 31 12 28.6 9 341 0.13 312 96

30

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 17.4 14.0 33.3 87 37 70.3 27 513 0.22 414 156 Census Region and Division Northeast 9.1 6.3 17.8 140 49 96.0 37 808 0.28 556 212 New England 2.6 2.0 5.8 130 46 102.1 39 770 0.27 604 233 Middle Atlantic 6.5 4.2 12.1 144 51 93.6 36 826 0.29 537 204

31

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

4 4 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 7.8 7.7 12.0 41 26 40.1 15 406 0.26 398 146 Census Region and Division Northeast 1.4 1.2 2.7 23 10 20.1 7 295 0.13 264 91 New England 0.5 0.4 1.0 31 14 27.6 9 370 0.17 330 114 Middle Atlantic 0.9 0.8 1.8 18 8 15.9 6 253 0.11 226 79

32

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

3 3 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 13.8 11.6 29.8 92 36 77.5 28 604 0.23 506 186 Census Region and Division Northeast 7.9 5.9 17.2 133 45 98.7 36 854 0.29 636 234 New England 2.8 2.4 6.6 125 45 105.6 40 819 0.30 691 262 Middle Atlantic 5.0 3.5 10.6 138 45 94.8 34 878 0.29 605 219

33

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2001 2001 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 66.9 53.8 137.2 90 35 72.4 27 873 0.34 702 265 Census Region and Division Northeast 12.5 7.8 25.4 126 39 78.3 33 1,434 0.44 889 372 New England 2.3 1.5 5.5 128 34 82.5 35 1,567 0.42 1,014 428 Middle Atlantic 10.3 6.3 19.9 126 40 77.4 32 1,403 0.45 861 360

34

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

4 4 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 17.5 13.8 32.0 91 39 71.9 27 697 0.30 550 203 Census Region and Division Northeast 9.5 6.6 18.2 141 51 97.3 35 1,066 0.38 734 266 New England 2.5 1.9 5.6 140 49 108.8 39 1,105 0.38 856 306 Middle Atlantic 7.0 4.6 12.6 142 52 93.2 34 1,050 0.38 690 252

35

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas, 1980 Natural Gas, 1980 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 51.6 39.7 88.5 125 56 96.2 34 497 0.22 383 137 Census Region and Division Northeast 10.9 6.5 18.8 144 50 86.6 31 771 0.27 463 168 New England 1.9 0.9 3.1 162 47 78.9 28 971 0.28 472 169 Middle Atlantic 9.0 5.6 15.7 141 51 88.1 32 739 0.27 461 168

36

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2001 2001 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 9.4 9.2 19.6 41 19 40.2 16 607 0.29 598 231 Census Region and Division Northeast 1.7 1.7 4.5 31 11 29.8 11 538 0.20 519 186 New England 0.7 0.7 2.2 34 11 33.1 12 580 0.19 569 209 Middle Atlantic 1.0 0.9 2.4 29 11 27.4 10 506 0.20 482 169

37

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2 2 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 54.2 41.0 91.8 116 52 87.6 32 658 0.29 498 183 Census Region and Division Northeast 11.6 7.3 21.1 132 46 82.6 31 951 0.33 598 221 New England 2.0 1.3 4.5 126 35 77.9 28 1,062 0.30 658 235 Middle Atlantic 9.6 6.0 16.5 133 49 83.6 31 928 0.34 585 217

38

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2 2 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 15.5 12.2 30.0 98 40 77.1 27 829 0.34 650 231 Census Region and Division Northeast 8.8 6.0 17.4 138 48 94.5 34 1,163 0.40 796 283 New England 2.5 1.9 5.9 131 43 101.9 36 1,106 0.36 863 309 Middle Atlantic 6.3 4.1 11.5 142 50 91.5 32 1,191 0.42 769 272

39

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

90 90 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 16.3 13.5 33.2 77 31 63.9 23 609 0.25 506 181 Census Region and Division Northeast 8.9 6.4 19.3 121 40 87.7 32 950 0.32 690 253 New England 2.5 2.1 5.9 121 43 99.0 39 956 0.34 784 307 Middle Atlantic 6.3 4.4 13.4 121 39 83.2 30 947 0.31 652 234

40

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

1 1 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 14.6 11.0 28.9 116 44 87.9 32 1,032 0.39 781 283 Census Region and Division Northeast 8.9 5.9 18.0 158 51 103.5 36 1,405 0.46 923 323 New England 2.4 1.7 5.1 148 50 105.3 36 1,332 0.45 946 327 Middle Atlantic 6.5 4.1 12.8 161 52 102.9 36 1,435 0.46 915 322

Note: This page contains sample records for the topic "building foot household" 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

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 15.4 11.6 29.7 131 51 99.0 36 1,053 0.41 795 287 Census Region and Division Northeast 9.2 6.0 18.2 176 59 116.2 42 1,419 0.47 934 335 New England 2.7 2.0 6.0 161 53 118.3 42 1,297 0.43 954 336 Middle Atlantic 6.5 4.1 12.2 184 61 115.3 42 1,478 0.49 926 335

42

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas, 1997 Natural Gas, 1997 Average Natural Gas Residential Buildings Consumption Expenditures Total per Floor- per Square per per per Total Total space (1) Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 61.9 51.3 106.1 103 50 85.3 32 698 0.34 579 218 Census Region and Division Northeast 11.8 8.3 19.9 123 52 86.9 35 1,097 0.46 772 310 New England 1.9 1.4 3.3 123 50 87.0 32 1,158 0.48 819 301 Middle Atlantic 9.9 6.9 16.6 124 52 86.9 36 1,085 0.45 763 312

43

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

3 3 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 96.6 76.4 181.2 43 18 34.0 13 1,061 0.45 840 321 Census Region and Division Northeast 19.5 13.8 40.1 34 12 24.1 9 1,144 0.39 809 309 New England 5.1 3.7 10.6 33 11 24.1 9 1,089 0.38 797 311 Middle Atlantic 14.4 10.1 29.4 35 12 24.2 9 1,165 0.40 814 309

44

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average Fuel Oil/Kerosene Residential Buildings Consumption Expenditures Total per Floor- per Square per per per Total Total space (1) Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 13.2 11.0 23.2 97 46 81.1 31 694 0.33 578 224 Census Region and Division Northeast 8.2 6.2 14.5 136 57 101.3 40 950 0.40 710 282 New England 3.1 2.7 5.8 126 60 111.5 45 902 0.43 797 321 Middle Atlantic 5.2 3.4 8.8 143 56 95.1 38 988 0.39 657 260

45

Household Vehicles Energy Use Cover Page  

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

Household Vehicles Energy Use Cover Page Glossary Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use Cover Page Contact Us * Feedback *...

46

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

4 4 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 86.3 67.4 144.3 37 17 28.8 11 808 0.38 632 234 Census Region and Division Northeast 18.3 13.0 35.0 31 12 22.3 8 938 0.35 665 245 New England 4.3 3.1 9.0 31 11 22.6 8 869 0.30 635 227 Middle Atlantic 14.0 9.9 26.0 32 12 22.2 8 959 0.36 674 251

47

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 90.5 70.4 156.8 39 18 30.5 12 875 0.39 680 262 Census Region and Division Northeast 19.0 13.2 36.8 34 12 23.3 9 934 0.34 648 251 New England 4.3 3.0 8.4 33 12 22.9 9 864 0.30 600 234 Middle Atlantic 14.8 10.2 28.4 34 12 23.4 9 954 0.34 661 256

48

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2001 2001 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 107.0 85.2 211.2 46 18 36.0 14 1,178 0.48 938 366 Census Region and Division Northeast 20.3 14.1 43.7 37 12 26.0 11 1,268 0.41 883 362 New England 5.4 4.1 13.2 32 10 24.0 10 1,121 0.35 852 358 Middle Atlantic 14.8 10.0 30.5 40 13 27.0 11 1,328 0.44 894 364

49

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 81.6 65.3 142.5 38 17 30.3 11 625 0.29 500 178 Census Region and Division Northeast 17.7 12.2 34.8 33 12 23.0 8 742 0.26 514 181 New England 4.3 2.9 8.9 34 11 23.1 8 747 0.25 508 177 Middle Atlantic 13.4 9.3 26.0 33 12 22.9 8 740 0.27 516 183

50

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

97 97 Average Electricity Residential Buildings Consumption Expenditures Total per Floor- per Square per per per Total Total space (1) Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 101.4 83.2 168.8 42 21 35.0 13 1,061 0.52 871 337 Census Region and Division Northeast 19.7 15.1 34.6 32 14 25.0 10 1,130 0.49 863 345 New England 5.3 4.2 9.3 31 14 24.0 9 1,081 0.49 854 336 Middle Atlantic 14.4 10.9 25.3 33 14 25.0 10 1,149 0.49 867 349

51

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

1 1 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total 83.1 66.1 144.2 37 17 29.1 10 678 0.31 539 192 Census Region and Division Northeast 17.9 12.1 35.1 33 11 22.1 8 830 0.29 561 195 New England 4.3 2.9 8.3 31 11 21.3 8 776 0.27 531 189 Middle Atlantic 13.7 9.2 26.7 33 11 22.4 8 847 0.29 571 197

52

Number of U.S. Commercial Buildings  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 2

53

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 5b

54

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 5a

55

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 7a

56

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table7c

57

U.S. Commercial Buildings Energy Intensity  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 7b

58

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2001 2001 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 107.0 85.2 211.3 116 47 92.2 36 1,875 0.76 1,493 583 Census Region and Division Northeast 20.3 14.1 43.7 153 49 106.6 44 2,501 0.81 1,741 715 New England 5.4 4.1 13.2 152 47 115.3 48 2,403 0.75 1,825 768 Middle Atlantic 14.8 10.0 30.5 154 50 103.4 42 2,541 0.83 1,710 696

59

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

3 3 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 96.6 76.5 181.2 131 55 103.6 40 1,620 0.68 1,282 491 Census Region and Division Northeast 19.5 13.8 40.1 173 60 122.4 47 2,157 0.74 1,526 583 New England 5.1 3.7 10.6 168 59 123.1 48 2,094 0.73 1,532 598 Middle Atlantic 14.4 10.1 29.4 175 60 122.1 46 2,180 0.75 1,523 578

60

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

1 1 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (millionBtu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 83.1 66.1 144.2 141 64 111.7 40 1,256 0.58 998 356 Census Region and Division Northeast 17.9 12.1 35.1 194 67 131.6 46 2,016 0.70 1,365 475 New England 4.3 2.9 8.3 181 63 123.9 44 2,018 0.71 1,384 492 Middle Atlantic 13.7 9.2 26.7 199 68 134.0 46 2,016 0.69 1,359 470

Note: This page contains sample records for the topic "building foot household" 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

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average of Major Energy Sources Residential Buildings Consumption Expenditures Total per per per per Total Total Floorspace per Square per Household per Square per Household Households Number (billion Building Foot Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) (million Btu) (thousand Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 81.6 65.4 142.5 143 65 114.1 41 1,156 0.53 926 330 Census Region and Division Northeast 17.7 12.3 34.8 199 70 138.3 49 1,874 0.66 1,301 459 New England 4.3 2.9 8.9 197 65 134.4 47 1,964 0.65 1,341 466 Middle Atlantic 13.4 9.3 26.0 200 72 139.5 49 1,846 0.66 1,288 456

62

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 94.0 74.2 169.2 124 54 98.1 38 1,485 0.65 1,172 450 Census Region and Division Northeast 19.2 13.9 40.3 165 57 119.6 45 2,034 0.70 1,471 556 New England 4.5 3.2 9.3 164 56 113.9 45 2,023 0.69 1,408 562 Middle Atlantic 14.7 10.7 31.1 166 57 121.3 45 2,037 0.70 1,491 555

63

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

2 2 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 83.8 66.1 142.2 130 60 102.3 37 1,309 0.61 1,033 377 Census Region and Division Northeast 18.0 12.5 34.4 175 64 121.7 44 1,942 0.71 1,353 490 New England 4.2 3.0 9.1 173 56 121.9 43 1,991 0.65 1,402 498 Middle Atlantic 13.7 9.5 25.2 175 66 121.7 44 1,926 0.73 1,338 487

64

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

0 0 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 94.0 74.2 169.2 124 54 98.1 38 1,485 0.65 1,172 450 Census Region and Division Northeast 19.2 13.9 40.3 165 57 119.6 45 2,038 0.70 1,471 556 New England 4.5 3.2 9.3 164 56 113.9 45 2,028 0.69 1,408 562 Middle Atlantic 14.7 10.7 31.1 166 57 121.3 45 2,041 0.70 1,491 555

65

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average of Major Energy Sources Residential Buildings Consumption Expenditures Total per Floor- per Square per per per Total Total space(2) Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 101.5 83.2 168.8 123 61 101.0 39 1,633 0.80 1,338 517 Census Region and Division Northeast 19.7 15.1 34.6 158 69 121.0 48 2,153 0.94 1,644 658 New England 5.3 4.2 9.3 156 70 123.0 48 2,085 0.94 1,647 648 Middle Atlantic 14.4 10.9 25.3 159 68 120.0 48 2,179 0.94 1,643 662

66

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

4 4 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 86.3 67.5 144.4 134 63 104.7 39 1,437 0.67 1,123 417 Census Region and Division Northeast 18.3 13.0 35.0 176 65 125.2 46 2,033 0.75 1,443 533 New England 4.3 3.1 9.0 174 61 127.6 46 2,010 0.70 1,471 527 Middle Atlantic 14.0 9.9 26.0 177 67 124.5 46 2,040 0.77 1,435 535

67

Residential Buildings Historical Publications reports, data and housing  

Gasoline and Diesel Fuel Update (EIA)

7 7 Average of Major Energy Sources Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households Number (billion (million (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 90.5 70.4 156.8 130 58 100.8 39 1,388 0.62 1,080 416 Census Region and Division Northeast 19.0 13.2 36.8 179 64 124.4 48 1,836 0.66 1,276 494 New England 4.3 3.0 8.4 174 61 121.0 47 1,753 0.62 1,222 475 Middle Atlantic 14.8 10.3 28.4 181 65 125.4 48 1,860 0.67 1,292 499

68

www.eia.gov  

U.S. Energy Information Administration (EIA)

ESTIMATE Consumption Expenditures Residential Buildings per Total per Total Total Floorspace Building Foot Household Member Household Households Number

69

Nationwide Survey on Household Energy Use  

U.S. Energy Information Administration (EIA)

4 ~ Apartment in house or building divided into 2, 3, or 4 apartments ... of your family (living in your household). Include income from all sources--before taxes

70

Total Floorspace of Commercial Buildings - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities >Table 4

71

Vacant Buildings  

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

of 275 thousand cubic feet per building, 29.9 cubic feet per square foot, at an average cost of 475 per thousand cubic feet. Energy Consumption in Vacant Buildings by Energy...

72

Table 1a. U.S. Commercial Buildings Site Energy Consumption b  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Commercial Buildings Energy Intensities > Table 1a

73

EIA - Household Transportation report: Household Vehicles ...  

U.S. Energy Information Administration (EIA)

This report, Household Vehicles Energy Use: Latest Data & Trends, provides details on the nation's energy use for household passenger travel. A primary purpose of ...

74

1997 Residential Energy Consumption and Expenditures per Household ...  

U.S. Energy Information Administration (EIA)

Return to: Residential Home Page . Changes in the 1997 RECS: Housing Unit Type Per Household Member Per Building Increase. Residential Energy Consumption ...

75

Household Vehicles Energy Use: Latest Data and Trends - Table A04  

U.S. Energy Information Administration (EIA)

... Buildings & Industry > Transportation Surveys > Household Vehicles Energy ... U.S. Vehicles by Model ... Office of Coal, Nuclear, Electric, and Alternate ...

76

Section J: HOUSEHOLD CHARACTERISTICS  

U.S. Energy Information Administration (EIA)

2001 Residential Energy Consumption Survey Form EIA-457A (2001)--Household Questionnaire OMB No.: 1905-0092, Expiring February 29, 2004 42 Section J: HOUSEHOLD ...

77

U.S. Residential Buildings Weather-Adjusted Primary Consumption  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities > Table 8c Glossary U.S. Residential Buildings ...

78

Do it yourself lighting power survey: lighting power audit for use with the Massachusetts type watts per square foot method of calculating a building's lighting power budget  

SciTech Connect

Advantages of the self-audit approach to energy conservation are presented. These are that it is cheaper to do it yourself; the employees become part of the corporate conservation effect; and no one knows the building and its needs better than the occupant. Steps described in the lighting survey procedure are: (1) divide the building into categories; (2) determine the total square footage for each category; (3) assign a power allowance for each category; (4) multiply the total square footage for each category by the respective power allowances; (5) add the budget sub-totals for each category to determine total building budget; and (6) walk through the building room-by-room and calculate the connected lighting load fixture-by-fixture. Some worksheets are provided. (MCW)

Not Available

1980-06-01T23:59:59.000Z

79

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

3 3 Building Type Pre-1995 1995-2005 Pre-1995 1995-2005 Pre-1995 1995-2005 Single-Family 38.4 44.9 102.7 106.2 38.5 35.5 Detached 37.9 44.7 104.5 107.8 38.8 35.4 Attached 43.8 55.5 86.9 85.1 34.2 37.6 Multi-Family 63.8 58.7 58.3 49.2 27.2 24.3 2 to 4 units 69.0 55.1 70.7 59.4 29.5 25.0 5 or more units 61.5 59.6 53.6 47.2 26.3 24.2 Mobile Homes 82.4 57.1 69.6 74.5 29.7 25.2 Note(s): Source(s): 2005 Residential Delivered Energy Consumption Intensities, by Principal Building Type and Vintage Per Square Foot (thousand Btu) (1) Per Household (million Btu) Per Household Member (million Btu) 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average

80

char_household2001.pdf  

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

5a. Household Characteristics by Type of Owner-Occupied Housing Unit, 5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.3 0.4 2.0 2.9 1.3 Total Owner-Occupied Units ....... 72.7 63.2 2.1 1.8 5.7 6.7 Household Size 1 Person ....................................... 15.8 12.5 0.8 0.9 1.6 10.3 2 Persons ...................................... 25.9 23.4 0.5 0.5 1.5 10.1 3 Persons ...................................... 11.6 9.6 0.5 Q 1.3 12.1 4 Persons ...................................... 11.8 10.9 Q Q 0.7 15.7 5 Persons ...................................... 5.1 4.5 Q Q 0.4 24.2 6 or More Persons

Note: This page contains sample records for the topic "building foot household" 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

char_household2001.pdf  

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

6a. Household Characteristics by Type of Rented Housing Unit, 6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total Rented Units ........................ 34.3 10.5 7.4 15.2 1.1 6.9 Household Size 1 Person ....................................... 12.3 2.5 2.6 7.0 0.3 10.0 2 Persons ...................................... 9.2 2.5 2.5 4.1 Q 11.8 3 Persons ...................................... 5.4 2.0 1.1 2.0 0.4 13.9 4 Persons ...................................... 3.8 1.6 0.7 1.4 Q 17.7 5 Persons ...................................... 2.0 0.9 0.4 0.6 Q 24.1 6 or More Persons ........................

82

Buildings  

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

The U.S. Department of Energy (DOE) advances building energy performance through the development and promotion of efficient, affordable, and high impact technologies, systems, and practices. The...

83

char_household2001.pdf  

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

Household Tables Household Tables (Million U.S. Households; 24 pages, 122 kb) Contents Pages HC2-1a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 2 HC2-2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 2 HC2-3a. Household Characteristics by Household Income, Million U.S. Households, 2001 2 HC2-4a. Household Characteristics by Type of Housing Unit, Million U.S. Households, 2001 2 HC2-5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 2 HC2-6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 2 HC2-7a. Household Characteristics by Four Most Populated States, Million U.S. Households, 2001 2

84

Buildings Energy Data Book: 2.9 Low-Income Housing  

Buildings Energy Data Book (EERE)

0 2005 Average Energy Expenditures per Household Member and per Square Foot, by Weatherization Eligibility (2010) Members Hhold Hhold Total U.S. Households 780 2.6 0.86 Federally...

85

char_household2001.pdf  

Annual Energy Outlook 2012 (EIA)

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

86

Arizona Map for Commercial Buildings  

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

Documents%20and%20SettingsLPJEMEUstyleseiasitewideF.css" rel"stylesheet" type"textcss" > Home > Households, Buildings & Industry > Background Information on CBECS > 2003...

87

ac_household2001.pdf  

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

5a. Air Conditioning by Type of Owner-Occupied Housing Unit, 5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 59.5 58.7 6.5 12.4 5.3 5.2 Air Conditioners Not Used ............ 1.2 1.1 Q 0.6 Q 23.3 Households Using Electric Air-Conditioning 1 .......................... 58.2 57.6 6.3 11.8 5.1 5.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 44.7 43.6 3.2 7.1 3.5 7.0 Without a Heat Pump .................. 35.6 35.0 2.4 6.1 2.7 7.7 With a Heat Pump .......................

88

ac_household2001.pdf  

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

6a. Air Conditioning by Type of Rented Housing Unit, 6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.8 0.5 1.4 1.2 1.6 Households With Electric Air-Conditioning Equipment ........ 23.4 58.7 6.5 12.4 5.3 6.1 Air Conditioners Not Used ............ 0.9 1.1 Q 0.6 Q 23.0 Households Using Electric Air-Conditioning 1 .......................... 22.5 57.6 6.3 11.8 5.1 6.2 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 12.7 43.6 3.2 7.1 3.5 8.5 Without a Heat Pump .................. 10.6 35.0 2.4 6.1 2.7 9.3 With a Heat Pump ....................... 2.2 8.6 0.8 1.0

89

ac_household2001.pdf  

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

4a. Air Conditioning by Type of Housing Unit, 4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.6 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 82.9 58.7 6.5 12.4 5.3 4.9 Air Conditioners Not Used ............ 2.1 1.1 Q 0.6 Q 21.8 Households Using Electric Air-Conditioning 1 .......................... 80.8 57.6 6.3 11.8 5.1 4.9 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 57.5 43.6 3.2 7.1 3.5 6.7 Without a Heat Pump .................. 46.2 35.0 2.4 6.1 2.7 7.7 With a Heat Pump ....................... 11.3 8.6 0.8 1.0 0.8 19.7 Room Air-Conditioning

90

EIA - Household Transportation report: Household Vehicles Energy  

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

4 4 Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1994 August 1997 Release Next Update: EIA has discontinued this series. Based on the 1994 Residential Transportation Energy Consumption Survey conducted by the Energy Information Administration (EIA) - survey series has been discontinued Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses. Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use

91

Car Sharing within Households  

E-Print Network (OSTI)

The objective of this paper was to analyse two activities: who rents a car and why? Which households share the driving of their cars? In order to do that, the Parc-Auto (Car-Fleet) database, built from annual postal surveys conducted with a panel of 10,000 French households, has been processed. Among approximately one hundred questions in the survey, two key questions have been crossed against many social, economic, demographic, geographic or time variables. KQ1: “During the last 12 months, did you — or another person from your home — rent a car in France for personal purposes? ” KQ2: “Is this car occasionally used by other persons?” Here are the main findings. Renting households are mainly working, high income households, living in the core of big cities, and in particular in Paris. Most of them have two wage-sheets and two cars, one of which is generally a recent, high power, high quality car. Car rental is mainly an occasional practice. Yet for a minority of renters, it is a sustained habit. Households with more licence holders than cars share the most: about three quarters of them share their cars. On the contrary, single driver-single car households have less opportunity to share: only 15 % share. Household car sharing shed light on the gender role within households: while 58 % of the main users of the shared cars are male, 55 % of secondary users are female. Household car sharing is mainly a regular practice. Finally, without diminishing the merits of innovative transport solutions proposed here and there, it is not a waste of time to give some insight on self established behaviour within households. This reveals that complex patterns have been built over time by the people themselves, to cope with diverse situations that cannot be easily handled by straightforward classifications. The car cannot be reduced to a personal object. Household car sharing also carries strong links with the issue of car dependency. Sifting car availability and choice

Francis Papon; Laurent Hivert

2008-01-01T23:59:59.000Z

92

PRELIMINARY DATA Housing Unit and Household Characteristics  

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

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

93

A Framework for Corporate Householding  

E-Print Network (OSTI)

Previous research on corporate household and corporate householding has presented examples, literature review, and working definitions. In this paper, we first improve our ...

Madnick, Stuart

2003-03-21T23:59:59.000Z

94

2003 Commercial Buildings Energy Consumption - What is an RSE  

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

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

95

Energy Efficient Buildings Hub | Department of Energy  

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

Buildings Hub (EEB Hub) team is taking a "living lab" approach, working in a 30,000-square-foot building in the Navy Yard, where they are testing how different technologies...

96

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

97

housingunit_household2001.pdf  

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

Housing Unit Tables Housing Unit Tables (Million U.S. Households; 49 pages, 210 kb) Contents Pages HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 2001 5 HC1-2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 2001 4 HC1-3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 4 HC1-4a. Housing Unit Characteristics by Type of Housing Unit, Million U.S. Households, 2001 4 HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 4 HC1-6a. Housing Unit Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 4 HC1-7a. Housing Unit Characteristics by Four Most Populated States, Million U.S. Households, 2001 4

98

homeoffice_household2001.pdf  

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

Home Office Equipment Tables Home Office Equipment Tables (Million U.S. Households; 12 pages, 123 kb) Contents Pages HC7-1a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 1 HC7-2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 1 HC7-3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 1 HC7-4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 2001 1 HC7-5a. Home Office Equipment by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 1 HC7-6a. Home Office Equipment by Type of Rented Housing Unit, Million U.S. Households, 2001 1 HC7-7a. Home Office Equipment by Four Most Populated States, Million U.S. Households, 2001 1

99

BigFoot  

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

216 216 BigFoot Characterizing Land Cover, LAI, and NPP at the Landscape Scale for EOS/MODIS Validation Field Manual Version 2.1 ORNL/TM-1999/216 Environmental Sciences Division BIGFOOT FIELD MANUAL VERSION 2.1 John L. Campbell Department of Forest Ecology and Management University of Wisconsin, Madison, WI 53706 jlcampb1@students.wisc.edu Sean Burrows Department of Forest Ecology and Management University of Wisconsin, Madison, WI 53706 burrows@calshp.cals.wisc.edu Stith Tom Gower Department of Forest Ecology and Management University of Wisconsin, Madison, WI 53706 stgower@facstaff.wisc.edu Warren B. Cohen Forest Science Department, Oregon State University c/o USDA Forest Service, Corvallis, OR 97331 cohenw@ccmail.orst.edu Environmental Sciences Division

100

foote-98.pdf  

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

Automated Weather Balloon Radiosonde Automated Weather Balloon Radiosonde Launcher Development J. P. Foote, J. T. Lineberry, and B. R. Thompson ERC, Incorporated Tullahoma, Tennessee Introduction Balloon-borne radiosondes are a primary means used by the Atmospheric Radiation Measurement (ARM) Program to collect atmospheric data. Currently, three radiosondes are launched daily from the Central Facility at the ARM Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site during non-intensive observation periods (IOPs). During IOPs, eight radiosondes are launched daily from the Central Facility and from each of four boundary facilities, for a total of forty daily launches. Launching balloons during IOPs is a major effort, in terms both of logistics and manpower. ERC, Incorporated is currently developing an automated

Note: This page contains sample records for the topic "building foot household" 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

Household Vehicles Energy Consumption 1991  

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

. . Trends in Household Vehicle Stock The 1991 RTECS counted more than 150 million vehicles in use by U.S. households. This chapter examines recent trends in the vehicle stock, as measured by the RTECS and other reputable vehicle surveys. It also provides some details on the type and model year of the household vehicle stock, and identifies regional differences in vehicle stock. Because vehicles are continuously being bought and sold, this chapter also reports findings relating to turnover of the vehicle stock in 1991. Finally, it examines the average vehicle stock in 1991 (which takes into account the acquisition and disposal of household vehicles over the course of the year) and identifies variations in the average number of household vehicles based on differences in household characteristics. Number of Household Vehicles Over the past 8 years, the stock of household vehicles has

102

Household Vehicles Energy Consumption 1991  

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

Aggregate Aggregate Ratio: See Mean and Ratio Estimate. AMPD: Average miles driven per day. See Appendix B, "Estimation Methodologies." Annual Vehicle Miles Traveled: See Vehicle Miles Traveled. Automobile: Includes standard passenger car, 2-seater car and station wagons; excludes passenger vans, cargo vans, motor homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for all RTECS households divided by the total number of households. See Ratio Estimate, and Combined Household Energy Expenditures. Average Number of Vehicles per Household: The average number of vehicles used by a household for personal transportation during 1991. For this report, the average number of vehicles per household is computed as the ratio of the total number of vehicles to the

103

Householder’s Perceptions of Insulation Adequacy and Drafts in the Home in 2001  

E-Print Network (OSTI)

In order to improve the estimation of end-use heating consumption, the Energy Information Administration's (EIA), 2001 Residential Energy Consumption Survey (RECS), for the first time, asked respondents to judge how drafty they perceived their homes to be as a measure of insulation quality. The analysis of the 2001 RECS data shows that householders in newlyconstructed homes perceived their homes to be better insulated and less drafty than do householders in older homes. Single-family homes are perceived to be better insulated and less drafty than are apartments in buildings with two to four units. Cross-variable comparisons also provide the associations between the level of insulation and winter drafts in the homes with household characteristics and location of the home.

Behjat Hojjati

2004-01-01T23:59:59.000Z

104

High Performance Homes and Buildings: State-of-the-Art Review of Multifamily Buildings  

Science Conference Proceedings (OSTI)

Multifamily households constitute a quarter of the U.S. households, including a majority of low-income households. However, energy performance of multifamily buildings has been hindered due to both technical and market barriers. This report investigates a comprehensive whole-building approach to reduce energy use in multifamily buildings, with a discussion of market barriers such as lack of energy knowledge, lack of motivation, and shortage of skilled workforce for deep energy upgrades in ...

2013-12-27T23:59:59.000Z

105

Building Energy Software Tools Directory: UtilityTrac  

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

savings measurement and verification Provides weather analysis reports with normalized energy usage Benchmark and compare similar buildings' usage and costs by square foot and A...

106

U.S. Commercial Buildings Weather Adjusted Primary Energy ...  

U.S. Energy Information Administration (EIA)

Using . Weather-Adjusted. Primary Energy. 1. by Census Region and Principal Building Activity, 1992, 1995, and 2003 (Thousand Btu per Square Foot) ...

107

Household Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion of household products  

E-Print Network (OSTI)

Household Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion of household products containing toxic chemicals. These wastes CANNOT be disposed of in regular garbage. Any should be considered hazardous. You cannot treat hazardous wastes like other kinds of garbage

de Lijser, Peter

108

ac_household2001.pdf  

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

Air Conditioning Tables Air Conditioning Tables (Million U.S. Households; 24 pages, 138 kb) Contents Pages HC4-1a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 2 HC4-2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 2 HC4-3a. Air Conditioning by Household Income, Million U.S. Households, 2001 2 HC4-4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 2 HC4-5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 2 HC4-6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 2 HC4-7a. Air Conditioning by Four Most Populated States, Million U.S. Households, 2001 2 HC4-8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 2

109

Household Vehicles Energy Consumption 1991  

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

3. 3. Vehicle Miles Traveled This chapter presents information on household vehicle usage, as measured by the number of vehicle miles traveled (VMT). VMT is one of the two most important components used in estimating household vehicle fuel consumption. (The other, fuel efficiency, is discussed in Chapter 4). In addition, this chapter examines differences in driving behavior based on the characteristics of the household and the type of vehicle driven. Trends in household driving patterns are also examined using additional information from the Department of Transportation's Nationwide Personal Transportation Survey (NPTS). Household VMT is a measure of the demand for personal transportation. Demand for transportation may be viewed from either an economic or a social perspective. From the economic point-of-view, the use of a household vehicle represents the consumption of one

110

Building Green in Greensburg: City Hall Building  

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

City Hall Building City Hall Building Destroyed in the tornado, City Hall was completed in October 2009 and built to achieve the U.S. Green Building Council's Leadership in Energy and Environmental Design (LEED ® ) Platinum designation. The 4,700-square-foot building serves as a symbol of Greensburg's vitality and leadership in becoming a sustainable community where social, environmental, and economic concerns are held in balance. It houses the City's administrative offices and council chambers, and serves as a gathering place for town meetings and municipal court sessions. According to energy analysis modeling results, the new City Hall building is 38% more energy efficient than an ASHRAE-compliant building of the same size and shape. ENERGY EFFICIENCY FEATURES * A well-insulated building envelope with an

111

Building Green in Greensburg: Business Incubator Building  

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

Business Incubator Building Business Incubator Building Completed in May 2009, the SunChips ® Business Incubator building not only achieved the U.S. Green Building Council's Leadership in Energy and Environmental Design (LEED ® ) Platinum status with greater than 50% energy savings-it became the first LEED Platinum certified municipal building in Kansas. The 9,580-square-foot building features five street-level retail shops and nine second-level professional service offices. It provides an affordable, temporary home where businesses can grow over a period of several years before moving out on their own to make way for new start-up businesses. The building was funded by the United States Department of Agriculture (USDA), Frito-Lay SunChips division, and actor Leonardo DiCaprio.

112

appl_household2001.pdf  

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

4a. Appliances by Type of Housing Unit, 4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.6 1.9 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 69.1 9.4 16.7 6.6 4.3 1 ................................................ 95.2 63.7 8.9 16.2 6.3 4.3 2 or More .................................. 6.5 5.4 0.4 0.4 0.2 15.9 Most Used Oven ........................ 101.7 69.1 9.4 16.7 6.6 4.3 Electric ...................................... 63.0 43.3 5.2 10.9 3.6

113

appl_household2001.pdf  

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

5a. Appliances by Type of Owner-Occupied Housing Unit, 5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.4 2.1 3.1 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Kitchen Appliances Cooking Appliances Oven ........................................... 68.3 59.1 2.0 1.7 5.4 7.0 1 ................................................ 62.9 54.1 2.0 1.6 5.2 7.1 2 or More .................................. 5.4 5.0 Q Q 0.2 22.1 Most Used Oven ........................ 68.3 59.1 2.0 1.7 5.4 7.0 Electric ......................................

114

spaceheat_household2001.pdf  

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

4a. Space Heating by Type of Housing Unit, 4a. Space Heating by Type of Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.7 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.4 Heat Home ..................................... 106.0 73.4 9.4 16.4 6.8 4.5 Do Not Heat Home ........................ 1.0 0.3 Q 0.6 Q 19.0 No Heating Equipment .................. 0.5 0.2 Q 0.3 Q 24.2 Have Equipment But Do Not Use It ................................ 0.4 Q Q 0.3 Q 28.1 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 73.4 9.4 16.4 6.8 4.5 Natural Gas ...................................

115

spaceheat_household2001.pdf  

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

5a. Space Heating by Type of Owner-Occupied Housing Unit, 5a. Space Heating by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.4 1.9 3.0 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Heat Home ..................................... 72.4 63.0 2.0 1.7 5.7 6.7 Do Not Heat Home ........................ 0.4 0.2 Q Q Q 46.2 No Heating Equipment .................. 0.3 0.2 Q Q Q 39.0 Have Equipment But Do Not Use It ................................ Q Q Q Q Q NF Main Heating Fuel and Equipment (Have and Use Equipment) ............ 72.4 63.0 2.0 1.7 5.7 6.7 Natural Gas

116

spaceheat_household2001.pdf  

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

6a. Space Heating by Type of Rented Housing Unit, 6a. Space Heating by Type of Rented Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Heat Home ..................................... 33.7 10.4 7.4 14.8 1.1 6.9 Do Not Heat Home ........................ 0.6 Q Q 0.5 Q 21.4 No Heating Equipment .................. 0.2 Q Q Q Q 84.5 Have Equipment But Do Not Use It ................................ 0.4 Q Q 0.3 Q 36.4 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 33.7 10.4 7.4 14.8 1.1 6.9 Natural Gas ...................................

117

Energy Spending and Vulnerable Households  

E-Print Network (OSTI)

 off than before. In particular large households with low  incomes seem to have been adversely affected by the new tariff structures since  they have comparably large energy expenditure (Bennet et al., 2002).    5. Vulnerable Households and Energy Spending  The...  tariffs can play an important part in the public debate  on  eradicating  fuel  poverty  and  helping  the  vulnerable  households.  Smart  metering  can  provide  consumers  with  information  on  the  actual  energy  consumption and might  lead  to...

Jamasb, Tooraj; Meier, Helena

2011-01-26T23:59:59.000Z

118

Household Vehicles Energy Consumption 1991  

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

DOEEIA-0464(91) Distribution Category UC-950 Household Vehicles Energy Consumption 1991 December 1993 Energy Information Administration Office of Energy Markets and End Use U.S....

119

Household Vehicles Energy Consumption 1991  

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

a regular basis at the time of the 1990 RECS personal interviews. Electricity: See Main Heating Fuel. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991...

120

Household Vehicles Energy Consumption 1994  

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

AdministrationHousehold Vehicles Energy Consumption 1994 110 Electricity: See Main Heating Fuel. Energy Used in the Home: For electricity or natural gas, the quantity is the...

Note: This page contains sample records for the topic "building foot household" 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

Household Energy Consumption and Expenditures  

Reports and Publications (EIA)

Presents information about household end use consumption of energy and expenditures for that energy. These data were collected in the 2005 Residential Energy Consumption Survey (RECS)

Information Center

2008-09-01T23:59:59.000Z

122

char_household2001.pdf  

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

3a. Household Characteristics by Household Income, 3a. Household Characteristics by Household Income, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Household Size 1 Person ....................................... 28.2 9.7 -- -- -- 6.5 11.3 5.7 2 Persons ...................................... 35.1 4.3 -- -- -- 2.0 7.8 5.8 3 Persons ...................................... 17.0 -- 3.3 -- -- 2.2 5.2 7.3 4 Persons ...................................... 15.6 -- 2.2 -- -- -- 4.3 8.1 5 Persons ...................................... 7.1

123

Doing Well by Doing Good? Green Office Buildings  

E-Print Network (OSTI)

estimated for a green building, or to Energy Star. 2008. “estate, the evidence on energy savings in green buildings issquare foot) Green rating (1 = yes) Energy Star (1 = yes)

Eichholtz, Piet; Kok, Nils; Quigley, John M.

2009-01-01T23:59:59.000Z

124

Conservation of Energy and Water Use in State Buildings (North...  

Open Energy Info (EERE)

of ASHRAE 90.1-2004 by 30% for new buildings, and 20% for major renovations. The energy consumption per gross square foot for all State buildings in total must be reduced...

125

char_household2001.pdf  

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

2a. Household Characteristics by West Census Region, 2a. Household Characteristics by West Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.8 1.1 Total .............................................................. 107.0 23.3 6.7 16.6 NE Household Size 1 Person ...................................................... 28.2 5.6 1.8 3.8 5.4 2 Persons .................................................... 35.1 7.3 1.9 5.5 4.9 3 Persons .................................................... 17.0 3.5 0.9 2.6 7.6 4 Persons .................................................... 15.6 3.5 1.1 2.4 6.4 5 Persons .................................................... 7.1 2.0 0.6 1.4 9.7 6 or More Persons

126

Household Vehicles Energy Consumption 1991  

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

. . Vehicle Fuel Efficiency and Consumption Fuel consumption is estimated from RTECS data on the vehicle stock (Chapter 2) and miles traveled (Chapter 3), in combination with vehicle fuel efficiency ratings, adjusted to account for individual driving circumstances. The first two sections of this chapter present estimates of household vehicle fuel efficiency and household fuel consumption calculated from these fuel efficiency estimates. These sections also discuss variations in fuel efficiency and consumption based on differences in household and vehicle characteristics. The third section presents EIA estimates of the potential savings from replacing the oldest (and least fuel-efficient) household vehicles with new (and more fuel-efficient) vehicles. The final section of this chapter focuses on households receiving (or eligible to receive) supplemental income under

127

char_household2001.pdf  

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

0a. Household Characteristics by Midwest Census Region, 0a. Household Characteristics by Midwest Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 24.5 17.1 7.4 NE Household Size 1 Person ...................................................... 28.2 6.7 4.7 2.0 6.2 2 Persons .................................................... 35.1 8.0 5.4 2.6 5.0 3 Persons .................................................... 17.0 3.8 2.7 1.1 7.9 4 Persons .................................................... 15.6 3.5 2.5 1.0 8.1 5 Persons .................................................... 7.1 1.7

128

Appliance Commitment for Household Load Scheduling  

Science Conference Proceedings (OSTI)

This paper presents a novel appliance commitment algorithm that schedules thermostatically-controlled household loads based on price and consumption forecasts considering users comfort settings to meet an optimization objective such as minimum payment or maximum comfort. The formulation of an appliance commitment problem was described in the paper using an electrical water heater load as an example. The thermal dynamics of heating and coasting of the water heater load was modeled by physical models; random hot water consumption was modeled with statistical methods. The models were used to predict the appliance operation over the scheduling time horizon. User comfort was transformed to a set of linear constraints. Then, a novel linear, sequential, optimization process was used to solve the appliance commitment problem. The simulation results demonstrate that the algorithm is fast, robust, and flexible. The algorithm can be used in home/building energy-management systems to help household owners or building managers to automatically create optimal load operation schedules based on different cost and comfort settings and compare cost/benefits among schedules.

Du, Pengwei; Lu, Ning

2011-06-30T23:59:59.000Z

129

Extending Efficiency Services to Underserved Households: NYSERDA...  

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

Extending Efficiency Services to Underserved Households: NYSERDA's Assisted Home Performance with ENERGY STAR Program Title Extending Efficiency Services to Underserved Households:...

130

Household vehicles energy consumption 1994  

SciTech Connect

Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

NONE

1997-08-01T23:59:59.000Z

131

EIA - Household Transportation report: Household Vehicles Energy Use:  

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

Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Use: Latest Data & Trends November 2005 Release (Next Update: Discontinued) Based on the 2001 National Household Travel Survey conducted by the U.S. Department of Transportation and augmented by EIA Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses in an effort to maintain consistency with its past residential transportation series, which was discontinued after 1994. This report, Household Vehicles Energy Use: Latest Data & Trends, provides details on the nation's energy use for household passenger travel. A primary purpose of this report is to release the latest consumer-based data

132

Household Vehicles Energy Consumption 1994  

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

W as hi ng to n, DC DOEEIA-0464(94) Distribution Category UC-950 Household Vehicles Energy Consumption 1994 August 1997 Energy Information Administration Office of Energy Markets...

133

ac_household2001.pdf  

Annual Energy Outlook 2012 (EIA)

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

134

Household savings and portfolio choice  

E-Print Network (OSTI)

This thesis consists of three essays that examine household savings and portfolio choice behavior. Chapter One analyses the effects of employer matching contributions and tax incentives on participation and contribution ...

Klein, Sean Patrick

2010-01-01T23:59:59.000Z

135

Household vehicles energy consumption 1991  

Science Conference Proceedings (OSTI)

The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted during 1991 and early 1992. The 1991 RTECS represents 94.6 million households, of which 84.6 million own or have access to 151.2 million household motor vehicles in the 50 States and the District of Columbia.

Not Available

1993-12-09T23:59:59.000Z

136

Cover Page of Household Vehicles Energy Use: Latest Data & Trends  

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

Household Vehicles Energy Use Cover Page Cover Page of Household Vehicles Energy Use: Latest Data & Trends...

137

ac_household2001.pdf  

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

3a. Air Conditioning by Household Income, 3a. Air Conditioning by Household Income, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.9 1.5 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 12.3 17.4 21.5 31.7 9.6 23.4 3.9 Air Conditioners Not Used ............ 2.1 0.4 0.7 0.5 0.5 0.4 0.9 20.8 Households Using Electric Air-Conditioning 2 .......................... 80.8 11.9 16.7 21.0 31.2 9.1 22.6 3.9 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 .............. 57.5 6.2 10.7 15.2 25.3 4.5 12.4 5.3 Without a Heat Pump .................. 46.2 4.9 9.1 12.1 20.1 3.6 10.4 6.1 With a Heat Pump

138

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

Yes prices per square foot indicating that the cost effectper square foot and more variance in precipitation has a statistically significant positive effect on operating costsper square foot of office buildings that sold in arm-length-transactions between 2001 and 2010 on energy costs,

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

139

Delivering Energy Efficiency to Middle Income Single Family Households  

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

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

140

In-vessel composting of household wastes  

Science Conference Proceedings (OSTI)

The process of composting has been studied using five different types of reactors, each simulating a different condition for the formation of compost; one of which was designed as a dynamic complete-mix type household compost reactor. A lab-scale study was conducted first using the compost accelerators culture (Trichoderma viridae, Trichoderma harzianum, Trichorus spirallis, Aspergillus sp., Paecilomyces fusisporus, Chaetomium globosum) grown on jowar (Sorghum vulgare) grains as the inoculum mixed with cow-dung slurry, and then by using the mulch/compost formed in the respective reactors as the inoculum. The reactors were loaded with raw as well as cooked vegetable waste for a period of 4 weeks and then the mulch formed was allowed to maturate. The mulch was analysed at various stages for the compost and other environmental parameters. The compost from the designed aerobic reactor provides good humus to build up a poor physical soil and some basic plant nutrients. This proves to be an efficient, eco-friendly, cost-effective, and nuisance-free solution for the management of household solid wastes.

Iyengar, Srinath R. [Civil and Environmental Engineering Department, V.J. Technological Institute, H.R. Mahajani Road, Matunga, Mumbai 400 019 (India)]. E-mail: srinathrangamani@yahoo.com; Bhave, Prashant P. [Civil and Environmental Engineering Department, V.J. Technological Institute, H.R. Mahajani Road, Matunga, Mumbai 400 019 (India)]. E-mail: drppbhave@vsnl.net

2006-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "building foot household" 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

Overview of Commercial Buildings, 2003 - Full Report  

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

Introduction Introduction Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > Overview of Commercial Buildings Print Report: PDF Overview of Commercial Buildings, 2003 Introduction | Trends | Major Characteristics Introduction The Energy Information Administration conducts the Commercial Buildings Energy Consumption Survey (CBECS) to collect information on energy-related building characteristics and types and amounts of energy consumed in commercial buildings in the United States. In 2003, CBECS reports that commercial buildings: total nearly 4.9 million buildings comprise more than 71.6 billion square feet of floorspace consumed more than 6,500 trillion Btu of energy, with electricity accounting for 55 percent and natural gas 32 percent (Figure 1)

142

char_household2001.pdf  

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

1a. Household Characteristics by South Census Region, 1a. Household Characteristics by South Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.1 1.5 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Household Size 1 Person ...................................................... 28.2 9.9 5.0 1.8 3.1 6.3 2 Persons .................................................... 35.1 13.0 6.7 2.5 3.8 4.2 3 Persons .................................................... 17.0 6.6 3.7 1.2 1.7 8.8 4 Persons .................................................... 15.6 6.0 3.3 0.8 1.9 10.7 5 Persons ....................................................

143

char_household2001.pdf  

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

8a. Household Characteristics by Urban/Rural Location, 8a. Household Characteristics by Urban/Rural Location, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Household Size 1 Person ...................................................... 28.2 14.6 5.3 4.8 3.6 6.4 2 Persons .................................................... 35.1 15.7 5.7 6.9 6.8 5.4 3 Persons .................................................... 17.0 7.6 2.8 3.5 3.1 7.2 4 Persons .................................................... 15.6 6.8 2.3 4.1 2.4 8.1 5 Persons .................................................... 7.1 3.1 1.3 1.3 1.4 12.3 6 or More Persons

144

char_household2001.pdf  

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

a. Household Characteristics by Climate Zone, a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Household Size 1 Person ....................................... 28.2 2.5 8.1 6.5 4.8 6.2 9.9 2 Persons ...................................... 35.1 3.1 9.4 8.2 6.5 7.9 8.7 3 Persons ...................................... 17.0 1.3 4.3 4.0 3.3 4.1 10.7 4 Persons ...................................... 15.6 1.4 3.9 3.4 3.4 3.5 10.5 5 Persons ......................................

145

homeoffice_household2001.pdf  

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

3a. Home Office Equipment by Household Income, 3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.4 1.9 1.2 1.0 0.6 1.9 0.9 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 47.6 3.0 Households Using Office Equipment .......................... 96.2 13.2 19.8 25.5 37.7 10.7 38.8 3.2 Personal Computers 2 ................... 60.0 3.7 8.7 16.0 31.6 3.7 17.4 4.6 Number of Desktop PCs 1 .................................................. 45.1 2.8 7.1 12.8 22.4 2.8 13.6 5.1 2 or more .................................... 9.1 0.6 0.7 1.7 6.2 0.6 2.2 13.0 Number of Laptop PCs

146

char_household2001.pdf  

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

2a. Household Characteristics by Year of Construction, 2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.0 1.2 1.2 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Household Size 1 Person ....................................... 28.2 2.5 4.5 5.1 4.0 3.7 8.3 7.5 2 Persons ...................................... 35.1 4.8 6.2 6.6 4.5 5.3 7.8 5.8 3 Persons ...................................... 17.0 2.5 3.3 2.9 2.3 1.9 4.1 8.4 4 Persons ...................................... 15.6 3.4 2.8 2.3 1.9 1.8 3.4 9.6 5 Persons ...................................... 7.1 1.6 1.2 1.3 0.6 0.7 1.6 14.3 6 or More Persons

147

SmallFoot LLC | Open Energy Information  

Open Energy Info (EERE)

LLC Place Boulder, Colorado Product Colorado-based developer of wireless demand control devices for the small commercial market. References SmallFoot LLC1 LinkedIn...

148

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

E-Print Network (OSTI)

HOW MANY HYBRID HOUSEHOLDS IN THE CALIFORNIA NEW CAR MARKET?average 2.43 cars per household, then the hybrid householdnumber of multi-car households that fit our hybrid household

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

149

Better Buildings for a Brighter Future  

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

million annually on their energy bills Building a Brighter Future The average American household spends nearly 2,000 per year on energy used in the home, but 200 to 400 of...

150

Household energy in South Asia  

Science Conference Proceedings (OSTI)

This research study on the use of energy in South Asis (India, Pakistan, Sri Lanka and Bangladesh) was sponsored by the Food and Agriculture Organization of the UN, the International Bank for Reconstruction and Development (the World Bank), and the Directorate-General for Development of the Commission of the European Communities. The aim of this book is to improve the understanding of household energy and its linkages, by reviewing the data resources on household energy use, supply, prices and other relevant factors that exist in South Asia.

Leach, G.

1987-01-01T23:59:59.000Z

151

Assumptions to the Annual Energy Outlook 2002 - Household Expenditures...  

Annual Energy Outlook 2012 (EIA)

Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and...

152

Table WH1. Total Households Using Water Heating Equipment, 2005 ...  

U.S. Energy Information Administration (EIA)

Table WH1. Total Households Using Water Heating Equipment, 2005 Million U.S. Households Fuels Used (million U.S. households) Number of Water Heaters Used

153

spaceheat_household2001.pdf  

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

3a. Space Heating by Household Income, 3a. Space Heating by Household Income, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Heat Home ..................................... 106.0 18.4 22.7 26.8 38.1 14.6 33.4 3.3 Do Not Heat Home ........................ 1.0 0.3 Q 0.3 0.3 0.3 0.4 23.4 No Heating Equipment .................. 0.5 Q Q Q 0.2 Q Q 35.0 Have Equipment But Do Not Use It ................................ 0.4 Q Q Q Q 0.2 0.3 22.8 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 18.4 22.7

154

appl_household2001.pdf  

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

3a. Appliances by Household Income, 3a. Appliances by Household Income, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.8 1.6 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 18.0 22.0 26.1 35.6 14.4 32.6 3.2 1 ................................................ 95.2 17.3 21.1 24.8 32.0 13.8 31.1 3.4 2 or More .................................. 6.5 0.8 0.9 1.3 3.6 0.6 1.5 13.1 Most Used Oven ........................ 101.7 18.0 22.0 26.1 35.6 14.4 32.6 3.2

155

Residential energy consumption and expenditure patterns of low-income households in the United States  

SciTech Connect

The principal objective of this study is to compare poor and non-poor households with respect to energy consumption and expenditures, housing characteristics, and energy-related behavior. We based our study on an analysis of a national data base created by the US Department of Energy, the 1982-1983 Residential Energy Consumption Survey (RECS). RECS includes detailed information on individual households: demographic characteristics, energy-related features of the structure, heating equipment and appliances, recent conservation actions taken by the household, and fuel consumption and costs for April 1982-March 1983. We found a number of statistically significant (at the 0.05 level) differences between the two income groups in terms of demographics, heating/cooling/water heating systems, appliance saturation, the thermal integrity of their home, energy conservation behavior, energy consumption, energy expenditures, and the percentage of income spent on energy costs. For example, the non-poor used 22% more energy and paid 25% more money on utilities than the poor; however, the poor spent 20% more energy per square foot than the non-poor and spent about 25% of their income on energy expenditures, compared to 7% for the non-poor. These differences suggest different approaches that might be taken for targeting energy conservation programs to low-income households. Since the poor's ''energy burden'' is large, informational, technical, and financial assistance to low-income households remains an urgent, national priority. 13 refs., 26 tabs.

Vine, E.L.; Reyes, I.

1987-09-01T23:59:59.000Z

156

Ad Building demolition, recycling completed  

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

Ad Building demolition, recycling completed Ad Building demolition, recycling completed Ad Building demolition, recycling completed Demolition of the Administration Building helps Los Alamos meet an NNSA directive to reduce its structural footprint, modernize its infrastructure, and provide workers with safe, energy-efficient facilities. October 11, 2011 Demolition of the administration building Demolition of the Administration Building Contact Steve Sandoval Communications Office (505) 665-9206 Email Project finished under budget, ahead of schedule LOS ALAMOS, New Mexico, October 11, 2011-Los Alamos National Laboratory has completed demolition of its former Administration Building. Demolition of the 316,500-square-foot building that was home to seven Laboratory directors was completed five months ahead of the original schedule and

157

Household Energy Consumption and Expenditures 1993 -- Executive ...  

U.S. Energy Information Administration (EIA)

national level data on energy-related issues on households and energy expenditures in the residential sector.

158

Beyond Buildings  

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

without compromising future generations SUSTAINABLE INL Buildings Beyond Buildings Sustainability Beyond Buildings INL is taking sustainability efforts "beyond buildings" by...

159

EIA Energy Efficiency:Table 5b. U.S. Commercial Buildings ...  

U.S. Energy Information Administration (EIA)

Table 5b. U.S. Commercial Buildings Energy Intensity Using Site Energy 1 by Census Region and Principal Building Activity, 1992-2003 (Thousand Btu per Square Foot)

160

EIA Energy Efficiency:Table 7b. U.S. Commercial Buildings ...  

U.S. Energy Information Administration (EIA)

Table 7b. U.S. Commercial Buildings Energy Intensity Using Primary Energy 1 by Census Region and Principal Building Activity, 1992-2003 (Thousand Btu per Square Foot)

Note: This page contains sample records for the topic "building foot household" 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

Comparison of Energy Needed to Heat Greenhouses and Insulated Frame Buildings Used in Aquaculture1  

E-Print Network (OSTI)

be as low as $4 to $6 per square foot. Construction costs for wood or metal frame buildings are greater than for the structure can be as low as $1 per square foot, but plastic covered greenhouse structures have structure is easy to construct on almost any site and has a low initial cost. Building material costs

Watson, Craig A.

162

Apartments in buildings with 5 or more units use less energy than ...  

U.S. Energy Information Administration (EIA)

Households in the larger apartment buildings in 1980 consumed almost as much energy for space heating ... than older apartments—more air conditioning ...

163

Household Vehicles Energy Consumption 1991  

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

1. 1. Introduction The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The Energy Information Administration (EIA) is mandated by Congress to collect, analyze, and disseminate impartial, comprehensive data about energy--how much is produced, who uses it, and the purposes for which it is used. To comply with this mandate, EIA collects energy data from a variety of sources covering a range of topics 1 . Background The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted

164

Household Vehicles Energy Consumption 1991  

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

Detailed Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the tables. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle miles traveled (VMT) or gallons consumed; (2) Tables of per household statistics such as VMT per household; and (3) Tables of per vehicle statistics such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model year data, or family income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table. Row and Column Factors These tables present estimates

165

homeoffice_household2001.pdf  

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

0a. Home Office Equipment by Midwest Census Region, 0a. Home Office Equipment by Midwest Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Households Using Office Equipment ......................................... 96.2 22.4 15.7 6.7 1.3 Personal Computers 1 ................................. 60.0 14.1 9.9 4.2 3.7 Number of Desktop PCs 1 ................................................................ 45.1 10.4 7.2 3.2 3.7 2 or more ................................................... 9.1 2.3 1.6 0.7 10.1 Number of Laptop PCs 1 ................................................................

166

Energy and household expenditure patterns  

Science Conference Proceedings (OSTI)

Since households account, either directly or indirectly, for two-thirds of the energy consumed in the US, changes in household activities will affect energy use. Expected changes in prices, personal income, and family spending over the next 20 years are looked at as well as the implications for energy consumption. The analysis shows that direct energy purchases will break with past trends, dropping from 2.6% to 0.2% annual growth for the rest of the century. Growth in spending on energy-using goods is also likely to slow down. The year 2000 will see a marked decrease in the growth of national energy consumption. 58 references, 3 figures, 35 tables.

Lareau, T.J.; Darmstadter, J.

1983-01-01T23:59:59.000Z

167

homeoffice_household2001.pdf  

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

9a. Home Office Equipment by Northeast Census Region, 9a. Home Office Equipment by Northeast Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.1 1.4 1.2 Total .............................................................. 107.0 20.3 14.8 5.4 NE Households Using Office Equipment ......................................... 96.2 17.9 12.8 5.0 1.3 Personal Computers 1 ................................. 60.0 10.9 7.7 3.3 3.1 Number of Desktop PCs 1 ................................................................ 45.1 8.7 6.2 2.5 3.7 2 or more ................................................... 9.1 1.4 0.9 0.5 12.9 Number of Laptop PCs 1 ................................................................

168

Building Energy Software Tools Directory: BuildingAdvice  

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

BuildingAdvice BuildingAdvice BuildingAdvice™ is a user-friendly, Web-based platform designed to assess building energy performance and identify and quantify energy savings opportunities. Target buildings are in the 5k-200k sq. ft. range, with scalability up to 1mm sq. ft. The platform combines 1) portable wireless sensor packages for capture of real-time building data, 2) automated entry of weather data, 3) manual entry of basic building information, and 4) proprietary EnGen™ energy modeling software. Output is a suite of comprehensive reports that benchmark against CBECS; provide key performance parameters including Energy Star rating, energy usage index, energy cost per square foot, and carbon emissions; provide ASHRAE Level II audits that quantify energy usage in four areas of

169

NNSA joins other federal agencies to build Interagency Fire Center...  

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

to enhance northern New Mexico fire protection efforts by building a 6,400 square foot facility to serve as a joint coordination and response center for fire events. The new...

170

Better Buildings Challenge Reports First Year's Savings; Partners...  

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

organizations in the Better Buildings Challenge include: Kohl's: With a 112 million square foot commitment and more than 1,000 stores in the United States, Kohl's has achieved a...

171

Federal Energy Management Program: Better Buildings Federal Award  

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

Federal Government's highest-performing buildings through a competition to reduce annual energy use intensity (Btu per square foot of facility space) on a year-over-year basis....

172

Federal Energy Management Program: Better Buildings Federal Award...  

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

Federal Government's highest-performing buildings through a competition to reduce annual energy use intensity (Btu per square foot of facility space) on a year-over-year basis....

173

Federal Energy Management Program: Better Buildings Federal Award...  

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

Federal Government's highest-performing buildings through a competition to reduce annual energy intensity (Btu per square foot of facility space) on a year-over-year basis. The...

174

ac_household2001.pdf  

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

0a. Air Conditioning by Midwest Census Region, 0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 20.5 13.6 6.8 2.2 Air Conditioners Not Used ........................... 2.1 0.3 Q Q 27.5 Households Using Electric Air-Conditioning 1 ........................................ 80.8 20.2 13.4 6.7 2.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 14.3 9.5 4.8 3.8 Without a Heat Pump ................................ 46.2 13.6 9.0 4.6 3.9 With a Heat Pump .....................................

175

ac_household2001.pdf  

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

8a. Air Conditioning by Urban/Rural Location, 8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 36.8 13.6 18.9 13.6 4.3 Air Conditioners Not Used ........................... 2.1 1.2 0.2 0.4 0.3 21.4 Households Using Electric Air-Conditioning 2 ........................................ 80.8 35.6 13.4 18.6 13.3 4.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 ............................ 57.5 23.6 8.6 15.8 9.4 5.1 Without a Heat Pump ................................ 46.2 19.3 7.4 13.1 6.4 6.3 With a Heat Pump ..................................... 11.3 4.4

176

char_household2001.pdf  

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

2001 2001 Household Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Household Size 1 Person ...................................................... 28.2 2.2 2.4 1.8 1.7 7.3 2 Persons .................................................... 35.1 2.2 4.0 2.4 2.0 6.9 3 Persons .................................................... 17.0 1.1 2.0 1.2 1.2 9.5 4 Persons .................................................... 15.6 0.8 1.9 1.3 0.9 11.2 5 Persons .................................................... 7.1 0.4 1.1 0.4 0.5 19.8 6 or More Persons ....................................... 4.0 0.4 0.9 0.4 0.1 16.4 2001 Household Income Category

177

ac_household2001.pdf  

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

1a. Air Conditioning by South Census Region, 1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 37.2 19.3 6.4 11.5 1.5 Air Conditioners Not Used ........................... 2.1 0.4 Q Q Q 28.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 36.9 19.0 6.4 11.5 1.6 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 30.4 16.1 5.0 9.2 2.8 Without a Heat Pump ................................ 46.2 22.1 10.4 3.4 8.3 5.6 With a Heat Pump

178

ac_household2001.pdf  

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

9a. Air Conditioning by Northeast Census Region, 9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.8 Households With Electric Air-Conditioning Equipment ...................... 82.9 14.5 11.3 3.2 3.3 Air Conditioners Not Used ........................... 2.1 0.3 0.3 Q 28.3 Households Using Electric Air-Conditioning 1 ........................................ 80.8 14.2 11.1 3.2 3.4 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 5.7 4.9 0.8 8.9 Without a Heat Pump ................................ 46.2 5.2 4.5 0.7 9.2 With a Heat Pump .....................................

179

ac_household2001.pdf  

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

2a. Air Conditioning by Year of Construction, 2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.1 1.2 1.1 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 13.6 16.0 14.7 10.4 10.5 17.6 4.7 Air Conditioners Not Used ............ 2.1 Q 0.3 0.5 0.3 0.4 0.5 27.2 Households Using Electric Air-Conditioning 2 .......................... 80.8 13.4 15.8 14.2 10.1 10.2 17.1 4.7 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 .............. 57.5 12.6 13.7 11.0 7.1 6.6 6.4 5.9 Without a Heat Pump .................. 46.2 10.1 10.4 8.0 6.1 5.9 5.7 7.0 With a Heat Pump ....................... 11.3 2.5 3.3

180

Inconsistent pathways of household waste  

Science Conference Proceedings (OSTI)

The aim of this study was to provide policy-makers and waste management planners with information about how recycling programs affect the quantities of specific materials recycled and disposed of. Two questions were addressed: which factors influence household waste generation and pathways? and how reliable are official waste data? Household waste flows were studied in 35 Swedish municipalities, and a wide variation in the amount of waste per capita was observed. When evaluating the effect of different waste collection policies, it was found to be important to identify site-specific factors influencing waste generation. Eleven municipal variables were investigated in an attempt to explain the variation. The amount of household waste per resident was higher in populous municipalities and when net commuting was positive. Property-close collection of dry recyclables led to increased delivery of sorted metal, plastic and paper packaging. No difference was seen in the amount of separated recyclables per capita when weight-based billing for the collection of residual waste was applied, but the amount of residual waste was lower. Sixteen sources of error in official waste statistics were identified and the results of the study emphasize the importance of reliable waste generation and composition data to underpin waste management policies.

Dahlen, Lisa [Division of Waste Science and Technology, Lulea University of Technology, SE, 971 87 Lulea (Sweden)], E-mail: lisa.dahlen@ltu.se; Aberg, Helena [Department of Food, Health and Environment, University of Gothenburg, P.O. Box 12204, SE, 402 42 Gothenburg (Sweden); Lagerkvist, Anders [Division of Waste Science and Technology, Lulea University of Technology, SE, 971 87 Lulea (Sweden); Berg, Per E.O. [HB Anttilator, Stagnellsgatan 3, SE, 652 23, Karlstad (Sweden)

2009-06-15T23:59:59.000Z

Note: This page contains sample records for the topic "building foot household" 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

RECS data show decreased energy consumption per household  

Reports and Publications (EIA)

Total United States energy consumption in homes has remained relatively stable for many years as increased energy efficiency has offset the increase in the number and average size of housing units, according to the newly released data from the Residential Energy Consumption Survey (RECS). The average household consumed 90 million British thermal units (Btu) in 2009 based on RECS. This continues the downward trend in average residential energy consumption of the last 30 years. Despite increases in the number and the average size of homes plus increased use of electronics, improvements in efficiency for space heating, air conditioning, and major appliances have all led to decreased consumption per household. Newer homes also tend to feature better insulation and other characteristics, such as double-pane windows, that improve the building envelope.

2012-06-06T23:59:59.000Z

182

GreenFoot Technologies | Open Energy Information  

Open Energy Info (EERE)

GreenFoot Technologies GreenFoot Technologies Jump to: navigation, search Logo: GreenFoot Technologies Name GreenFoot Technologies Address 700 108th AVE NE Suite 200 Place Bellevue, Washington Zip 98004 Website http://www.greenfootjobs.com/ Coordinates 47.616506°, -122.195725° 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":47.616506,"lon":-122.195725,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

183

BigFoot Data Set Released  

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

Meteorological Data Set Released The ORNL DAAC is pleased to announce the release of a data set associated with The BigFoot project: BIGFOOT Meteorological Data for North and South...

184

UBC Social Ecological Economic Development Studies (SEEDS) Student Report Whole Building Life Cycle Assessment: Neville Scarfe Building  

E-Print Network (OSTI)

primary energy required for the construction of the building was 192.6 Mega Joules per square foot undergone a series of upgrades and renovations; however, the original cost of the building was $1,103,877. The gross area of the original version of the Scarfe building totaled 70,127 square feet, including

185

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

4 4 Ownership (1) Owned 54.9 104.5 40.3 78% Rented 77.4 71.7 28.4 22% Public Housing 75.7 62.7 28.7 2% Not Public Housing 77.7 73.0 28.4 19% 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008 2005 Residential Delivered Energy Consumption Intensities, by Ownership of Unit Per Square Per Household Per Household Percent of Foot (thousand Btu) (million Btu) Members (million Btu) Total Consumption

186

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 ...

187

Alston S. Householder Fellowship | Careers | ORNL  

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

in Scientific Computing honors Dr. Alston S. Householder, founding Director of the Mathematics Division (now Computer Science and Mathematics Division) at the Oak Ridge National...

188

Household Vehicles Energy Consumption 1994 - PDF Tables  

U.S. Energy Information Administration (EIA)

Table 1 U.S. Number of Vehicles, Vehicle Miles, Motor Fuel Consumption and Expenditures, 1994 Table 2 U.S. per Household Vehicle Miles Traveled, Vehicle Fuel ...

189

homeoffice_household2001.pdf  

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

2a. Home Office Equipment by Year of Construction, 2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.4 1.1 1.1 1.2 1.2 1.0 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Households Using Office Equipment .......................... 96.2 14.9 16.7 17.0 12.2 13.0 22.4 4.4 Personal Computers 2 ................... 60.0 11.0 11.6 10.3 7.2 7.8 12.0 5.3 Number of Desktop PCs 1 .................................................. 45.1 8.0 9.0 7.7 5.3 6.1 9.1 5.8 2 or more .................................... 9.1 1.8 1.6 2.0 1.1 1.0 1.6 11.8 Number of Laptop PCs 1 ..................................................

190

ac_household2001.pdf  

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

2001 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With Electric Air-Conditioning Equipment ...................... 82.9 4.9 6.0 7.4 6.2 2.4 Air Conditioners Not Used ........................... 2.1 0.1 0.8 Q 0.1 23.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 4.7 5.2 7.4 6.1 2.6 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 1.3 3.9 6.2 5.7 6.7 Without a Heat Pump ................................ 46.2 1.2 3.2 5.5 3.8 8.1 With a Heat Pump ..................................... 11.3 Q 0.8 0.6 1.9 14.7 Room Air-Conditioning ................................ 23.3 3.4 1.2 1.2 0.3 13.6 1 Unit

191

homeoffice_household2001.pdf  

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

1a. Home Office Equipment by South Census Region, 1a. Home Office Equipment by South Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Households Using Office Equipment ......................................... 96.2 34.6 18.4 6.0 10.1 1.2 Personal Computers 1 ................................. 60.0 20.7 11.7 3.2 5.8 4.0 Number of Desktop PCs 1 ................................................................ 45.1 15.5 8.6 2.6 4.3 4.9 2 or more ................................................... 9.1 3.1 2.0 0.4 0.7 9.6 Number of Laptop PCs

192

Electricity Prices for Households - EIA  

Gasoline and Diesel Fuel Update (EIA)

Households for Selected Countries1 Households for Selected Countries1 (U.S. Dollars per Kilowatthour) Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA 0.023 NA NA Australia 0.091 0.092 0.094 0.098 NA NA NA NA NA Austria 0.144 0.154 0.152 0.163 0.158 0.158 0.178 0.201 NA Barbados NA NA NA NA NA NA NA NA NA Belgium NA NA NA NA NA NA NA NA NA Bolivia NA NA NA NA NA NA NA NA NA Brazil NA NA NA NA NA NA 0.145 0.171 NA Canada 0.067 0.069 0.070 0.071 0.076 0.078 NA NA NA Chile NA NA NA NA NA NA 0.140 0.195 NA China NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) 0.075 0.071 0.074 0.076 0.079 0.079 0.080 0.086 NA Colombia NA NA NA NA NA NA 0.111 0.135 NA

193

homeoffice_household2001.pdf  

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

a. Home Office Equipment by Climate Zone, a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.2 1.1 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.9 Households Using Office Equipment .......................... 96.2 8.4 26.2 21.1 19.0 21.5 7.8 Personal Computers 2 ................... 60.0 5.7 16.7 13.1 12.1 12.6 7.4 Number of Desktop PCs 1 .................................................. 45.1 4.2 12.8 9.6 8.8 9.6 7.8 2 or more .................................... 9.1 0.8 2.4 2.3 2.0 1.7 12.1 Number of Laptop PCs 1 ..................................................

194

Assumptions to the Annual Energy Outlook - Household Expenditures Module  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

195

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

1 1 2005 Energy Expenditures per Household, by Housing Type and Square Footage ($2010) Per Household Single-Family 1.16 Detached 1.16 Attached 1.20 Multi-Family 1.66 2 to 4 units 1.90 5 or more units 1.53 Mobile Home 1.76 All Homes 1.12 Note(s): Source(s): 1) Energy expenditures per square foot were calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008, Table US-1 part1; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for

196

Brad Foote Gear Works | Open Energy Information  

Open Energy Info (EERE)

Brad Foote Gear Works Brad Foote Gear Works Jump to: navigation, search Name Brad Foote Gear Works Place Cicero, Illinois Zip 60804-1404 Sector Wind energy Product Gearing systems manufacturer making systems for wind energy, power generation, and oil field equipment in addition to other industries. Coordinates 43.177106°, -76.082399° 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":43.177106,"lon":-76.082399,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

197

LittleFoot Energy | Open Energy Information  

Open Energy Info (EERE)

LittleFoot Energy LittleFoot Energy Jump to: navigation, search Name LittleFoot Energy Address 240A Elm St Place Somerville, Massachusetts Zip 02144 Sector Efficiency Product Implement thermal storage, geothermal, solar, monitoring and control in hybrid system designs that offset fossil fuel use Website http://littlefootinc.com/ Coordinates 42.395037°, -71.1216881° 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":42.395037,"lon":-71.1216881,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

198

appl_household2001.pdf  

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

9a. Appliances by Northeast Census Region, 9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.3 1.6 Total .............................................................. 107.0 20.3 14.8 5.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 19.6 14.5 5.2 1.1 1 .............................................................. 95.2 18.2 13.3 4.9 1.1 2 or More ................................................. 6.5 1.4 1.1 0.3 11.7 Most Used Oven ...................................... 101.7 19.6 14.5 5.2 1.1 Electric .....................................................

199

spaceheat_household2001.pdf  

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

1a. Space Heating by South Census Region, 1a. Space Heating by South Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.9 1.2 1.4 1.3 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Heat Home .................................................... 106.0 38.8 20.2 6.8 11.8 NE Do Not Heat Home ....................................... 1.0 Q Q Q Q 20.1 No Heating Equipment ................................ 0.5 Q Q Q Q 39.8 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q Q 39.0 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0

200

spaceheat_household2001.pdf  

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

9a. Space Heating by Northeast Census Region, 9a. Space Heating by Northeast Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 20.3 14.8 5.4 NE Heat Home .................................................... 106.0 20.1 14.7 5.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.9 No Heating Equipment ................................ 0.5 Q Q Q 39.5 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q 38.7 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 20.1 14.7 5.4 NE Natural Gas .................................................

Note: This page contains sample records for the topic "building foot household" 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

spaceheat_household2001.pdf  

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

0a. Space Heating by Midwest Census Region, 0a. Space Heating by Midwest Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Heat Home .................................................... 106.0 24.5 17.1 7.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.8 No Heating Equipment ................................ 0.5 Q Q Q 39.2 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q 38.4 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 24.5 17.1 7.4 NE Natural Gas

202

spaceheat_household2001.pdf  

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

2a. Space Heating by West Census Region, 2a. Space Heating by West Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.6 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Heat Home .................................................... 106.0 22.6 6.7 15.9 NE Do Not Heat Home ....................................... 1.0 0.7 Q 0.7 10.6 No Heating Equipment ................................ 0.5 0.4 Q 0.4 18.1 Have Equipment But Do Not Use It ............................................... 0.4 0.2 Q 0.2 27.5 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 22.6 6.7 15.9 NE Natural Gas .................................................

203

appl_household2001.pdf  

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

2a. Appliances by West Census Region, 2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.7 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 22.1 6.6 15.5 1.1 1 .............................................................. 95.2 20.9 6.4 14.5 1.1 2 or More ................................................. 6.5 1.2 0.2 1.0 14.6 Most Used Oven ...................................... 101.7 22.1 6.6 15.5 1.1 Electric .....................................................

204

Factors influencing county level household fuelwood use  

Science Conference Proceedings (OSTI)

This study explains household fuelwood consumption behavior at the county level by linking it to economic and demographic conditions in counties. Using this link, counties are identified where potential fuelwood use problems and benefits are greatest. A probit equation estimates household probability of wood use (percent woodburners in a county heating degree days, household income, nonwood fuel price, fuelwood price, percent forest land, population density, and fraction of households using various types of heating equipment. A linear-in-parameters equation estimates average wood consumed by a woodburner based on county heating degree days, household income, percent forest land, and price of nonwood fuel divided by fuelwood price. Parameters are estimated using fuelwood use data for individual households from a 1908-81 nationwide survey. The probit equation predicts percentage of wood burns well over a wide range of county conditions. The wood consumption equation overpredicts for counties with high income and high population density (over 6000 persons per square mile). The model shows average woodburning per household over all households decreases with increasing population density, and the influence of county economic characteristics varies with density.

Skog, K.E.

1986-01-01T23:59:59.000Z

205

Characterization of household waste in Greenland  

Science Conference Proceedings (OSTI)

The composition of household waste in Greenland was investigated for the first time. About 2 tonnes of household waste was sampled as every 7th bag collected during 1 week along the scheduled collection routes in Sisimiut, the second largest town in Greenland with about 5400 inhabitants. The collection bags were sorted manually into 10 material fractions. The household waste composition consisted primarily of biowaste (43%) and the combustible fraction (30%), including anything combustible that did not belong to other clean fractions as paper, cardboard and plastic. Paper (8%) (dominated by magazine type paper) and glass (7%) were other important material fractions of the household waste. The remaining approximately 10% constituted of steel (1.5%), aluminum (0.5%), plastic (2.4%), wood (1.0%), non-combustible waste (1.8%) and household hazardous waste (1.2%). The high content of biowaste and the low content of paper make Greenlandic waste much different from Danish household waste. The moisture content, calorific value and chemical composition (55 elements, of which 22 were below detection limits) were determined for each material fraction. These characteristics were similar to what has been found for material fractions in Danish household waste. The chemical composition and the calorific value of the plastic fraction revealed that this fraction was not clean but contained a lot of biowaste. The established waste composition is useful in assessing alternative waste management schemes for household waste in Greenland.

Eisted, Rasmus, E-mail: raei@env.dtu.dk [Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby (Denmark); Christensen, Thomas H. [Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby (Denmark)

2011-07-15T23:59:59.000Z

206

Building Technologies Office: Residential Buildings  

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

Residential Buildings Residential Buildings to someone by E-mail Share Building Technologies Office: Residential Buildings on Facebook Tweet about Building Technologies Office: Residential Buildings on Twitter Bookmark Building Technologies Office: Residential Buildings on Google Bookmark Building Technologies Office: Residential Buildings on Delicious Rank Building Technologies Office: Residential Buildings on Digg Find More places to share Building Technologies Office: Residential Buildings on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links Success Stories Previous Next Warming Up to Pump Heat. Lighten Energy Loads with System Design. Cut Refrigerator Energy Use to Save Money. Tools EnergyPlus Whole Building Simulation Program

207

Deer Mice and White-Footed Mice  

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

Deer Mice and White-Footed Mice Deer Mice and White-Footed Mice Nature Bulletin No. 545-A November 23. 1974 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation DEER MICE AND WHITE-FOOTED MICE At night, sitting on a wooded shore, waiting for fish to bite or quietly gazing into the coals of a camp fire, you often become aware of mysterious small noises nearby in the darkness. Sometimes it is only a faint scratching on a tree trunk, or a rustling in the fallen leaves. But, again, you may hear a tiny drumming sound or a musical buzzing hum. Spooks? No. The best guess is that you have disturbed the night life of a wild mouse. He makes the drumming sound by rapidly tapping a dry leaf or hollow stem with his front feet. Unlike house mice, his voice is more of a song than a mere squeak. If you catch him in the beam of a flashlight you see an alert animal face with big ears, large black bulging eyes, and a beautiful coat -- rich brown above with snow-white underparts and feet. From these prominent characteristics came the common names of our two local species, the Deer Mouse and the White-footed Mouse.

208

Impedance of surface footings on layered ground  

Science Conference Proceedings (OSTI)

Traditionally only the static bearing capacity and stiffness of the ground is considered in the design of wind turbine foundations. However, modern wind turbines are flexible structures with resonance frequencies as low as 0.2Hz. Unfortunately, environmental ... Keywords: Boundary elements, Domain-transformation method, Dynamic stiffness, Footing, Foundation, Layered soil, Wind turbine

L. Andersen; J. Clausen

2008-01-01T23:59:59.000Z

209

U.S. Real Cost per Foot of Crude Oil, Natural Gas, and Dry Wells...  

Annual Energy Outlook 2012 (EIA)

Foot of Crude Oil, Natural Gas, and Dry Wells Drilled (Dollars per Foot) U.S. Real Cost per Foot of Crude Oil, Natural Gas, and Dry Wells Drilled (Dollars per Foot) Decade Year-0...

210

Modeling patterns of hot water use in households  

E-Print Network (OSTI)

7 No Dishwashers . . . . . . . .to households without dishwashers. no_cw is only applied towasher; the absence of a dishwasher; a household consisting

Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

1996-01-01T23:59:59.000Z

211

Probit Model Estimation Revisited: Trinomial Models of Household Car Ownership  

E-Print Network (OSTI)

Household Ownership of Car Davidon, W. C. (1959) VariableStudy Report 9: Models of Car Ownership and License Holding.Trinomial Models of Household Car Ownership. Transportation

Bunch, David S.; Kitamura, Ryuichi

1991-01-01T23:59:59.000Z

212

Automated geometric features evaluation method for normal foot skeleton model  

Science Conference Proceedings (OSTI)

"Normal foot model" is a geometric model of a healthy human foot. As the comparison of the processed feet requires a reference ideal healthy foot parameterization it was necessary to create such a model by defining skeleton geometric features and generating ...

Bartosz Borucki; Krzysztof Nowi?Ski; Micha? Chlebiej; Andrzej Rutkowski; Pawe? Adamczyk; Jacek Laskowski

2011-01-01T23:59:59.000Z

213

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

SciTech Connect

The term ?household carbon footprint? refers to the total annual carbon emissions associated with household consumption of energy, goods, and services. In this project, Lawrence Berkeley National Laboratory developed a carbon footprint modeling framework that characterizes the key underlying technologies and processes that contribute to household carbon footprints in California and the United States. The approach breaks down the carbon footprint by 35 different household fuel end uses and 32 different supply chain fuel end uses. This level of end use detail allows energy and policy analysts to better understand the underlying technologies and processes contributing to the carbon footprint of California households. The modeling framework was applied to estimate the annual home energy and supply chain carbon footprints of a prototypical California household. A preliminary assessment of parameter uncertainty associated with key model input data was also conducted. To illustrate the policy-relevance of this modeling framework, a case study was conducted that analyzed the achievable carbon footprint reductions associated with the adoption of energy efficient household and supply chain technologies.

Kramer, Klaas Jan; Homan, Greg; Brown, Rich; Worrell, Ernst; Masanet, Eric

2009-04-15T23:59:59.000Z

214

Urban household energy use in Thailand  

SciTech Connect

Changes in household fuel and electricity use that accompany urbanization in Third World countries bear large economic and environmental costs. The processes driving the fuel transition, and the policy mechanisms by which it can be influenced, need to be better understood for the sake of forecasting and planning, especially in the case of electricity demand. This study examines patterns of household fuel use and electrical appliance utilization in Bangkok, Chieng Mai and Ayutthaya, Thailand, based on the results of a household energy survey. Survey data are statistically analyzed using a variety of multiple regression techniques to evaluate the relative influence of various household and fuel characteristics on fuel and appliance choice. Results suggest that changes to the value of women's time in urban households, as women become increasingly active in the labor force, have a major influence on patterns of household energy use. The use of the home for small-scale commercial activities, particularly food preparation, also has a significant influence on fuel choice. In general, household income does not prove to be an important factor in fuel and appliance selection in these cities, although income is closely related to total electricity use. The electricity use of individual household appliances is also analyzed using statistical techniques as well as limited direct metering. The technology of appliance production in Thailand is evaluated through interviews with manufacturers and comparisons of product performance. These data are used to develop policy recommendations for improving the efficiency of electrical appliances in Thailand by relying principally on the dynamism of the consumer goods market, rather than direct regulation. The annual electricity savings from the recommended program for fostering rapid adoption of efficient technologies are estimated to reach 1800 GWh by the year 2005 for urban households alone.

Tyler, S.R.

1992-01-01T23:59:59.000Z

215

Did Household Consumption Become More Volatile?  

E-Print Network (OSTI)

I show that after accounting for predictable variation arising from movements in real interest rates, preferences, income shocks, liquidity constraints and measurement errors, volatility of household consumption in the US increased between 1970 and 2004. For households headed by nonwhite and/or poorly educated individuals, this rise was significantly larger. This stands in sharp contrast with the dramatic fall in instability of the aggregate U.S. economy over the same period. Thus, while aggregate shocks affecting households fell over time, idiosyncratic shocks increased. This finding may lead to significant welfare implications.

Olga Gorbachev

2009-01-01T23:59:59.000Z

216

appl_household2001.pdf  

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

a. Appliances by Climate Zone, a. Appliances by Climate Zone, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.1 Total .................................................. 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Kitchen Appliances Cooking Appliances Oven .............................................. 101.7 9.1 27.9 23.1 19.4 22.2 7.8 1 ................................................... 95.2 8.7 26.0 21.6 17.7 21.2 7.9 2 or More ..................................... 6.5 0.4 1.9 1.5 1.7 1.0 14.7 Most Used Oven ........................... 101.7 9.1 27.9 23.1 19.4 22.2

217

spaceheat_household2001.pdf  

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

8a. Space Heating by Urban/Rural Location, 8a. Space Heating by Urban/Rural Location, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.6 0.9 1.3 1.3 1.2 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.3 Heat Home .................................................... 106.0 49.1 18.0 21.2 17.8 4.3 Do Not Heat Home ....................................... 1.0 0.7 0.1 0.1 0.1 25.8 No Heating Equipment ................................ 0.5 0.4 0.1 Q 0.1 33.2 Have Equipment But Do Not Use It ............................................... 0.4 0.3 Q Q Q 30.2 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 49.1 18.0 21.2 17.8 4.3 Natural Gas

218

spaceheat_household2001.pdf  

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

2a. Space Heating by Year of Construction, 2a. Space Heating by Year of Construction, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.5 1.5 1.1 1.1 1.1 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.3 Heat Home ..................................... 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Do Not Heat Home ........................ 1.0 Q Q Q 0.2 0.3 Q 23.2 No Heating Equipment .................. 0.5 Q Q Q 0.2 Q Q 30.3 Have Equipment But Do Not Use It ................................ 0.4 Q Q Q Q Q Q 37.8 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Natural Gas ...................................

219

appl_household2001.pdf  

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

2a. Appliances by Year of Construction, 2a. Appliances by Year of Construction, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.5 1.2 1.1 1.2 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 1 ................................................ 95.2 13.1 16.3 16.6 12.1 12.7 24.3 4.4 2 or More .................................. 6.5 1.2 0.9 1.1 0.7 1.0 1.6 14.8 Most Used Oven ........................ 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 Electric ......................................

220

Chemical and Materials Sciences Building | ORNL  

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

Advanced Materials Advanced Materials Research Areas Research Highlights Facilities and Capabilities Science to Energy Solutions News & Awards Events and Conferences Supporting Organizations Advanced Materials Home | Science & Discovery | Advanced Materials | Facilities and Capabilities SHARE Chemical and Materials Sciences Building Chemical and Materials Sciences Building, 411 ORNL's Chemical and Materials Sciences Building provides modern laboratory and office space for researchers studying and developing materials and chemical processes for energy-related technologies. The Chemical and Materials Sciences Building is a 160,000 square foot facility that provides modern laboratory and office space for ORNL researchers who are studying and developing materials and chemical

Note: This page contains sample records for the topic "building foot household" 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

Sustainable building technology knowledge representation: Using Semantic Web techniques  

Science Conference Proceedings (OSTI)

The global quest for sustainability in the exploitation of resources and the need for carbon foot-print reduction has resulted in the development of a large number of innovations and a huge amount of knowledge on sustainable building technologies. Unfortunately, ... Keywords: Knowledge representation, Ontology, Photovoltaic system, Semantic Web, Sustainable building technology

Joseph H. M. Tah; Henry F. Abanda

2011-08-01T23:59:59.000Z

222

Building Technologies Office: Commercial Building Energy Asset...  

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

TECHNOLOGIES RESIDENTIAL BUILDINGS COMMERCIAL BUILDINGS APPLIANCE & EQUIPMENT STANDARDS BUILDING ENERGY CODES EERE Building Technologies Office Commercial Buildings...

223

Microsoft Word - Household Energy Use CA  

Gasoline and Diesel Fuel Update (EIA)

0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household ï‚· California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site consumption results in households spending 30% less for energy than the U.S. average. ï‚· Average site electricity consumption in California homes is among the lowest in the nation, as the mild climate in much of the state leads to less reliance on

224

Microsoft Word - Household Energy Use CA  

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

0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household ï‚· California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site consumption results in households spending 30% less for energy than the U.S. average. ï‚· Average site electricity consumption in California homes is among the lowest in the nation, as the mild climate in much of the state leads to less reliance on

225

U.S. Household Electricity Report  

Reports and Publications (EIA)

Brief analysis reports on the amount of electricity consumed annually by U.S. households for each of several end uses, including space heating and cooling, water heating, lighting, and the operation of more than two dozen appliances.

Barbara Fichman

2005-07-14T23:59:59.000Z

226

Household gasoline demand in the United States  

E-Print Network (OSTI)

Continuing rapid growth in U.S. gasoline consumption threatens to exacerbate environmental and congestion problems. We use flexible semiparametric and nonparametric methods to guide analysis of household gasoline consumption, ...

Schmalensee, Richard

1995-01-01T23:59:59.000Z

227

Household energy consumption and expenditures 1993  

Science Conference Proceedings (OSTI)

This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

NONE

1995-10-05T23:59:59.000Z

228

Do Disaster Expectations Explain Household Portfolios?  

E-Print Network (OSTI)

use the American Consumer Expenditure Survey (CEX) for consumption ex- penditure information. The data covers the period between 1983 and 2004. The expenditure information is recorded quarterly with approximately 5000 households in each wave. Every...

Alan, Sule

229

Commercial Buildings  

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

Links Commercial Building Ventilation and Indoor Environmental Quality Batteries and Fuel Cells Buildings Energy Efficiency Electricity Grid Energy Analysis Energy...

230

Recovery Act Funds are Helping Oak Ridge's Building K-33 Disappear Fast  

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

American Recovery and Reinvestment Act workers in Oak Ridge are working safely and quickly to complete the demolition of Building K-33, a 1.4 million-square-foot former gaseous diffusion plant in...

231

Household Response To Dynamic Pricing Of Electricity: A Survey Of The  

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Focus Area: Crosscutting Topics: Market Analysis Website: www.hks.harvard.edu/hepg/Papers/2009/The%20Power%20of%20Experimentatio Equivalent URI: cleanenergysolutions.org/content/household-response-dynamic-pricing-el Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: "Mandates/Targets,Cost Recovery/Allocation,Enabling Legislation" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

232

Wynkoop Building Performance Measurement: Water  

SciTech Connect

This report is a summary of the water analysis performance for the Denver, Colorado Wynkoop Building. The Wynkoop Building (Figure 1) was built in 2006 as the Environmental Protection Agency (EPA) Region 8 Headquarters intended to house over 900 occupants in the 301,292 gross square feet (248,849 rentable square feet). The building was built on a brownfield in the Lower Downtown Historic District as part of an urban redevelopment effort. The building was designed and constructed through a public-private partnership with the sustainable design elements developed jointly by General Services Administration (GSA) and EPA. That partnership is still active with all parties still engaged to optimize building operations and use the building as a Learning Laboratory. The building design achieved U.S. Green Building Council Leadership in Energy and Environmental Design for New Construction (LEED-NC) Gold Certification in 2008 (Figure 2) and a 2008 EPA Energy Star Rating of 96 with design highlights that include: (1) Water use was designed to use 40% less than a typical design baseline. The design included low flow fixtures, waterless urinals and dual flush toilets; (2) Native and adaptive vegetation were selected to minimize the need for irrigation water for landscaping; and (3) Energy use intensity was modeled at 66.1 kBtus/gross square foot, which is 39% better than ASHRAE 90.1 1999. The Wynkoop Building water use (10 gallons/square foot) was measured at lower than industry average (15 gallons/square foot) and GSA goals (13 gallons/square foot), however, it was higher than building management expected it would be. The type of occupants and number of occupants can have a significant impact on fixture water use. The occupancy per floor varied significantly over the study time period, which added uncertainty to the data analysis. Investigation of the fixture use on the 2nd, 5th, and 7th floors identified potential for water use reduction if the flush direction of the dual-flush toilet handles was reversed. The building management retrofitted the building's toilets with handles that operated on reduced flush when pushed down (0.8 gallons) and full flush when pulled up (1.1 gallons). The water pressure on the 5th floor (< 30 psi) is less than half the pressure on the 7th floor (>80 psi). The measured water savings post-retrofit was lower on the 5th floor than the 7th floor. The differences in water pressure may have had an impact on the quantity of water used per floor. The second floor water use was examined prior to and following the toilet fixture retrofit. This floor is where conference rooms for non-building occupants are available for use, thus occupancy is highly variable. The 3-day average volume per flush event was higher post-retrofit (0.79 gallons per event), in contrast to pre-retrofit (0.57 gallons per event). There were 40% more flush events post retrofit, which impacted the findings. Water use in the third floor fitness center was also measured for a limited number of days. Because of water line accessibility, only water use on the men's side of the fitness center was measured and from that the total fitness center water use was estimated. Using the limited data collected, the fitness center shower water use is approximately 2% of the whole building water use. Overall water use in the Wynkoop Building is below the industry baseline and GSA expectations. The dual flush fixture replacement appears to have resulted in additional water savings that are expected to show a savings in the total annual water use.

Fowler, Kimberly M.; Kora, Angela R.

2012-08-26T23:59:59.000Z

233

Wynkoop Building Performance Measurement: Water  

Science Conference Proceedings (OSTI)

This report is a summary of the water analysis performance for the Denver, Colorado Wynkoop Building. The Wynkoop Building (Figure 1) was built in 2006 as the Environmental Protection Agency (EPA) Region 8 Headquarters intended to house over 900 occupants in the 301,292 gross square feet (248,849 rentable square feet). The building was built on a brownfield in the Lower Downtown Historic District as part of an urban redevelopment effort. The building was designed and constructed through a public-private partnership with the sustainable design elements developed jointly by General Services Administration (GSA) and EPA. That partnership is still active with all parties still engaged to optimize building operations and use the building as a Learning Laboratory. The building design achieved U.S. Green Building Council Leadership in Energy and Environmental Design for New Construction (LEED-NC) Gold Certification in 2008 (Figure 2) and a 2008 EPA Energy Star Rating of 96 with design highlights that include: (1) Water use was designed to use 40% less than a typical design baseline. The design included low flow fixtures, waterless urinals and dual flush toilets; (2) Native and adaptive vegetation were selected to minimize the need for irrigation water for landscaping; and (3) Energy use intensity was modeled at 66.1 kBtus/gross square foot, which is 39% better than ASHRAE 90.1 1999. The Wynkoop Building water use (10 gallons/square foot) was measured at lower than industry average (15 gallons/square foot) and GSA goals (13 gallons/square foot), however, it was higher than building management expected it would be. The type of occupants and number of occupants can have a significant impact on fixture water use. The occupancy per floor varied significantly over the study time period, which added uncertainty to the data analysis. Investigation of the fixture use on the 2nd, 5th, and 7th floors identified potential for water use reduction if the flush direction of the dual-flush toilet handles was reversed. The building management retrofitted the building's toilets with handles that operated on reduced flush when pushed down (0.8 gallons) and full flush when pulled up (1.1 gallons). The water pressure on the 5th floor (80 psi). The measured water savings post-retrofit was lower on the 5th floor than the 7th floor. The differences in water pressure may have had an impact on the quantity of water used per floor. The second floor water use was examined prior to and following the toilet fixture retrofit. This floor is where conference rooms for non-building occupants are available for use, thus occupancy is highly variable. The 3-day average volume per flush event was higher post-retrofit (0.79 gallons per event), in contrast to pre-retrofit (0.57 gallons per event). There were 40% more flush events post retrofit, which impacted the findings. Water use in the third floor fitness center was also measured for a limited number of days. Because of water line accessibility, only water use on the men's side of the fitness center was measured and from that the total fitness center water use was estimated. Using the limited data collected, the fitness center shower water use is approximately 2% of the whole building water use. Overall water use in the Wynkoop Building is below the industry baseline and GSA expectations. The dual flush fixture replacement appears to have resulted in additional water savings that are expected to show a savings in the total annual water use.

Fowler, Kimberly M.; Kora, Angela R.

2012-08-26T23:59:59.000Z

234

Household and environmental characteristics related to household energy-consumption change: A human ecological approach  

Science Conference Proceedings (OSTI)

This study focused on the family household as an organism and on its interaction with the three environments of the human ecosystem (natural, behavioral, and constructed) as these influence energy consumption and energy-consumption change. A secondary statistical analysis of data from the US Department of Energy Residential Energy Consumption Surveys (RECS) was completed. The 1980 and 1983 RECS were used as the data base. Longitudinal data, including household, environmental, and energy-consumption measures, were available for over 800 households. The households were selected from a national sample of owner-occupied housing units surveyed in both years. Results showed a significant( p = household, cooling degree days, heating degree days, year the housing unit was built, and number of stories in the housing unit.

Guerin, D.A.

1988-01-01T23:59:59.000Z

235

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book (EERE)

2 2 2005 Household Energy Expenditures, by Vintage ($2010) | Year | Prior to 1950 887 | 22% 1950 to 1969 771 | 22% 1970 to 1979 736 | 16% 1980 to 1989 741 | 16% 1990 to 1999 752 | 16% 2000 to 2005 777 | 9% | Average 780 | Total 100% Note(s): Source(s): 1.24 2,003 1) Energy expenditures per square foot were calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008 for 2005 expenditures; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price inflators.

236

Building Technologies Office: Building America: Bringing Building  

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

America: Bringing Building Innovations to Market America: Bringing Building Innovations to Market Building America logo The U.S. Department of Energy's (DOE) Building America program has been a source of innovations in residential building energy performance, durability, quality, affordability, and comfort for more than 15 years. This world-class research program partners with industry (including many of the top U.S. home builders) to bring cutting-edge innovations and resources to market. For example, the Solution Center provides expert building science information for building professionals looking to gain a competitive advantage by delivering high performance homes. At Building America meetings, researchers and industry partners can gather to generate new ideas for improving energy efficiency of homes. And, Building America research teams and DOE national laboratories offer the building industry specialized expertise and new insights from the latest research projects.

237

Design for Energy Efficiency in Residential Buildings  

E-Print Network (OSTI)

This paper presents the thermal design and heating design of an energy saving residential building in Beijing where the owners lived until 2004. Results show the advantages and disadvantages of a household-based heating mode by natural gas. Based on the quantity of natural gas by field tests in 2005, we conclude that thermal design influences heating design calculations.

Song, M.; Zhang, Y.; Yang, G.

2006-01-01T23:59:59.000Z

238

Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle  

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

1: January 8, 1: January 8, 2007 Household Vehicle Trips to someone by E-mail Share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Facebook Tweet about Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Twitter Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Google Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Delicious Rank Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Digg Find More places to share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on AddThis.com... Fact #451: January 8, 2007 Household Vehicle Trips In a day, the average household traveled 32.7 miles in 2001 (the latest

239

Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle  

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

2: October 3, 2: October 3, 2005 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on AddThis.com... Fact #392: October 3, 2005 Household Vehicle Ownership Household vehicle ownership has changed significantly over the last 40

240

Residential Buildings  

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

Apartment building exterior and interior Apartment building exterior and interior Residential Buildings EETD's research in residential buildings addresses problems associated with whole-building integration involving modeling, measurement, design, and operation. Areas of research include the movement of air and associated penalties involving distribution of pollutants, energy and fresh air. Contacts Max Sherman MHSherman@lbl.gov (510) 486-4022 Iain Walker ISWalker@lbl.gov (510) 486-4692 Links Residential Building Systems Group Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends High Technology and Industrial Systems Lighting Systems Residential Buildings Simulation Tools Sustainable Federal Operations

Note: This page contains sample records for the topic "building foot household" 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

Residential energy consumption of low-income and elderly households: how non-discretionary is it  

SciTech Connect

The energy literature is replete with opinions that the poor and elderly have cut their residential energy consumption to a minimum. This paper challenges such conclusions through an analysis of data on a sample of 319 Decatur, Illinois homeowners. The data include utility bill histories and survey information on housing characteristics, energy-related behaviors, attitudes, and socio-economic and demographic characteristics. It shows that residential energy consumption per square foot of living space is significantly higher for the elderly and poor than for other groups of Decatur homeowners. By breaking energy use into seasonal components, the paper estimates consumption for various household uses. This information, combined with the survey data, suggests that both subgroups heat and cool their homes inefficiently, due in part to the conditions of their homes, but also due to energy-related behaviors. The public policy implications of the findings are discussed.

Brown, M.A.; Rollinson, P.A.

1984-01-01T23:59:59.000Z

242

Building Technologies Office: Commercial Building Activities  

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

on Twitter Bookmark Building Technologies Office: Commercial Building Activities on Google Bookmark Building Technologies Office: Commercial Building Activities on Delicious...

243

Building Technologies Office: Buildings Performance Database  

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

on Twitter Bookmark Building Technologies Office: Buildings Performance Database on Google Bookmark Building Technologies Office: Buildings Performance Database on Delicious...

244

Around Buildings  

E-Print Network (OSTI)

Around Buildings W h y startw i t h buildings and w o r k o u t wa r d ? For one, buildings are difficult t o a v o i d these

Treib, Marc

1987-01-01T23:59:59.000Z

245

Better Buildings Neighborhood Program: San Jose  

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

San Jose to San Jose to someone by E-mail Share Better Buildings Neighborhood Program: San Jose on Facebook Tweet about Better Buildings Neighborhood Program: San Jose on Twitter Bookmark Better Buildings Neighborhood Program: San Jose on Google Bookmark Better Buildings Neighborhood Program: San Jose on Delicious Rank Better Buildings Neighborhood Program: San Jose on Digg Find More places to share Better Buildings Neighborhood Program: San Jose on AddThis.com... Better Buildings Residential Network Progress Stories Interviews Videos Events Quick Links to Partner Information AL | AZ | CA | CO | CT FL | GA | IL | IN | LA ME | MD | MA | MI | MO NE | NV | NH | NJ | NY NC | OH | OR | PA | SC TN | TX | VT | VI | VA WA | WI San Jose, California San Jose Leverages Partnerships to Improve Low-Income Households' Energy

246

BUILDING INSPECTION Building, Infrastructure, Transportation  

E-Print Network (OSTI)

BUILDING INSPECTION Building, Infrastructure, Transportation City of Redwood City 1017 Middlefield Sacramento, Ca 95814-5514 Re: Green Building Ordinance and the Building Energy Efficiency Standards Per of Redwood City enforce the current Title 24 Building Energy Efficiency Standards as part

247

Education Buildings  

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

Education Education Characteristics by Activity... Education Education buildings are buildings used for academic or technical classroom instruction, such as elementary, middle, or high schools, and classroom buildings on college or university campuses. Basic Characteristics [ See also: Equipment | Activity Subcategories | Energy Use ] Education Buildings... Seventy percent of education buildings were part of a multibuilding campus. Education buildings in the South and West were smaller, on average, than those in the Northeast and Midwest. Almost two-thirds of education buildings were government owned, and of these, over three-fourths were owned by a local government. Tables: Buildings and Size Data by Basic Characteristics Establishment, Employment, and Age Data by Characteristics

248

Commercial Buildings  

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

Exterior glass windows of office tower Commercial Buildings Commercial building systems research explores different ways to integrate the efforts of research in windows, lighting,...

249

Lodging Buildings  

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

a nursing home, assisted living center, or other residential care building a half-way house some other type of lodging Lodging Buildings by Subcategory Figure showing lodging...

250

EERE: Buildings  

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

Commercial Building Initiative works with commercial builders and owners to reduce energy use and optimize building performance, comfort, and savings. Solid-State Lighting...

251

Model documentation: household model of energy  

Science Conference Proceedings (OSTI)

The Household Model of Energy is an econometric model, meaning that energy use is determined quantitatively with the use of economic variables such as fuel prices and income. HOME is also primarily a structural model, meaning that energy use is determined as the result of interactions of intermediate components such as the number of households, the end use fuel shares and the energy use per household. HOME forecasts energy consumption in all occupied residential structures (households) in the United States on an annual basis through 1990. The forecasts are made based upon a number of initial conditions in 1980, various estimated elasticities, various parameters and assumptions, and a set of forecasted fuel prices and income. In addition to the structural detail, HOME operates on a more disaggregated level. This includes four end-use services (space heating, water heating, air conditioning, and others), up to seven fuel/technology types (dependent upon the end use service), two housing types, four structure vintages, and four Census regions. When the model is run as a module in IFFS, a sharing scheme further disaggregates the model to 10 Federal regions.

Holte, J.A.

1984-02-01T23:59:59.000Z

252

Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle  

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

3: January 22, 3: January 22, 2007 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on AddThis.com... Fact #453: January 22, 2007 Household Vehicle Ownership

253

Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle  

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

5: February 5, 5: February 5, 2007 Household Vehicle Miles to someone by E-mail Share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Facebook Tweet about Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Twitter Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Google Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Delicious Rank Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Digg Find More places to share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on AddThis.com... Fact #455: February 5, 2007 Household Vehicle Miles The graphs below show the average vehicle miles of travel (VMT) - daily

254

Competition Helps Kids Learn About Energy and Save Their Households...  

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

Competition Helps Kids Learn About Energy and Save Their Households Some Money Competition Helps Kids Learn About Energy and Save Their Households Some Money May 21, 2013 - 2:40pm...

255

Vehicle Technologies Office: Fact #259: March 17, 2003 Household...  

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

9: March 17, 2003 Household Travel by Gender to someone by E-mail Share Vehicle Technologies Office: Fact 259: March 17, 2003 Household Travel by Gender on Facebook Tweet about...

256

Essays on household decision making in developing countries  

E-Print Network (OSTI)

This dissertation contains three essays on household decision making in the areas of education and health in developing countries. The first chapter explores intra-household decision making in the context of conditional ...

Berry, James W. (James Wesley)

2009-01-01T23:59:59.000Z

257

Development of the Household Sample for Furnace and Boiler Life...  

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

households in the country. The data sample provides the household energy consumption and energy price inputs to the life-cycle cost analysis segment of the furnace and boiler...

258

ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR  

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

ANALYSIS OF CEE HOUSEHOLD SURVEY ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR ® FOR 2012 TABLE OF CONTENTS Acknowledgements .................................................................................. ii Executive Summary ............................................................................ ES-1 Introduction ............................................................................................... 1 Methodology Overview ............................................................................. 2 Key Findings ............................................................................................. 5 Recognition .................................................................................................................. 5 Understanding ........................................................................................................... 12

259

U.S. Nominal Cost per Foot of Natural Gas Wells Drilled (Dollars...  

Annual Energy Outlook 2012 (EIA)

Natural Gas Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Natural Gas Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

260

U.S. Nominal Cost per Foot of Crude Oil Wells Drilled (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Oil Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Crude Oil Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

Note: This page contains sample records for the topic "building foot household" 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

U.S. Nominal Cost per Foot of Crude Oil, Natural Gas, and Dry...  

Annual Energy Outlook 2012 (EIA)

Oil, Natural Gas, and Dry Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Crude Oil, Natural Gas, and Dry Wells Drilled (Dollars per Foot) Decade Year-0 Year-1...

262

Building Technologies Office: Residential Buildings  

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

building sector by at least 50%. Photo of people walking around a new home. Visitors Tour Solar Decathlon Homes Featuring the Latest in Energy Efficient Building Technology...

263

Buildings Performance Database Helps Building Owners, Investors...  

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

Buildings Performance Database Helps Building Owners, Investors Evaluate Energy Efficient Buildings Buildings Performance Database June 2013 A new database of building features and...

264

Building Technologies Office: Buildings NewsDetail  

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

NewsDetail on Twitter Bookmark Building Technologies Office: Buildings NewsDetail on Google Bookmark Building Technologies Office: Buildings NewsDetail on Delicious Rank Building...

265

Household energy and consumption and expenditures, 1990. Supplement, Regional  

Science Conference Proceedings (OSTI)

The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

Not Available

1993-03-02T23:59:59.000Z

266

Laboratory Testing of Demand-Response Enabled Household Appliances  

SciTech Connect

With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

Sparn, B.; Jin, X.; Earle, L.

2013-10-01T23:59:59.000Z

267

Better Buildings Federal Award 2012 Competition | Department of Energy  

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

Better Buildings Federal Award 2012 Competition Better Buildings Federal Award 2012 Competition Better Buildings Federal Award 2012 Competition October 24, 2013 - 1:51pm Addthis The Better Buildings Federal Award recognizes the Federal Government's highest-performing buildings through a competition to reduce annual energy use intensity (Btu per square foot of facility space) on a year-over-year basis. The Federal building that achieves the greatest percentage energy intensity savings for that year wins. 2012 Competition Thank you to all the participants of the 2012 Better Buildings Federal Award competition and congratulations to this year's winner, the U.S. Department of Interior's Brackish Groundwater National Desalination Research Facility! The building achieved an impressive 53.6% reduction in building energy intensity over its September 2011 baseline.

268

Household carbon dioxide production in relation to the greenhouse effect  

SciTech Connect

A survey of 655 households from eastern suburbs of Melbourne was undertaken to determine householders[prime] attitudes to, and understanding of, the greenhouse effect. Carbon dioxide emissions resulting from car, electricity and gas use were computed and household actions which could reduce CO[sub 2] emissions were addressed. Preliminary analysis of the results indicates that householders in this area are aware of, and concerned about, the greenhouse effect, although their understanding of its causes is often poor. Many appreciate the contribution of cars, but are unclear about the relative importance of other household activities. Carbon dioxide emissions from the three sources examined averaged 21[center dot]2 tonnes/year per household and 7[center dot]4 tonnes/year per person. Electricity was the largest contributor (8[center dot]6 tonnes/year), cars the next largest (7[center dot]7 tonnes/year) and gas third (5[center dot] tonnes/year) per household. Emissions varied considerably from household to household. There was a strong positive correlation between availability of economic resources and household CO[sub 2] output from all sources. Carbon dioxide production, particularly from car use, was greater from households which were most distant from a railway station, and from larger households, and numbers of children in the household had little effect on emissions. There were also some economics of scale for households containing more adults. Understanding the causes of the greenhouse bore little relation to change in CO[sub 2] emissions; being concerned about it was associated with a small reduction; but actual actions to reduce car use and household heating, however motivated, produced significant reductions. 12 refs., 9 figs., 6 tabs.

Stokes, D.; Lindsay, A.; Marinopoulos, J.; Treloar, A.; Wescott, G. (Deakin Univ., Clayton (Australia))

1994-03-01T23:59:59.000Z

269

Mitigating Carbon Emissions: the Potential of Improving Efficiency of Household Appliances in China  

E-Print Network (OSTI)

Efficiency of Household Appliances in China Jiang Lin8 Appliance Market inEfficiency of Household Appliances in China Executive

Lin, Jiang

2006-01-01T23:59:59.000Z

270

Service Buildings  

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

Service Service Characteristics by Activity... Service Service buildings are those in which some type of service is provided, other than food service or retail sales of goods. Basic Characteristics [ See also: Equipment | Activity Subcategories | Energy Use ] Service Buildings... Most service buildings were small, with almost ninety percent between 1,001 and 10,000 square feet. Tables: Buildings and Size Data by Basic Characteristics Establishment, Employment, and Age Data by Characteristics Number of Service Buildings by Predominant Building Size Category Figure showing number of service buildings by size. If you need assistance viewing this page, please contact 202-586-8800. Equipment Table: Buildings, Size, and Age Data by Equipment Types Predominant Heating Equipment Types in Service Buildings

271

Building Technologies Residential Survey  

SciTech Connect

Introduction A telephone survey of 1,025 residential occupants was administered in late October for the Building Technologies Program (BT) to gather information on residential occupant attitudes, behaviors, knowledge, and perceptions. The next section, Survey Results, provides an overview of the responses, with major implications and caveats. Additional information is provided in three appendices as follows: - Appendix A -- Summary Response: Provides summary tabular data for the 13 questions that, with subparts, comprise a total of 25 questions. - Appendix B -- Benchmark Data: Provides a benchmark by six categories to the 2001 Residential Energy Consumption Survey administered by EIA. These were ownership, heating fuel, geographic location, race, household size and income. - Appendix C -- Background on Survey Method: Provides the reader with an understanding of the survey process and interpretation of the results.

Secrest, Thomas J.

2005-11-07T23:59:59.000Z

272

Mercantile Buildings  

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

Mercantile Mercantile Characteristics by Activity... Mercantile Mercantile buildings are those used for the sale and display of goods other than food (buildings used for the sales of food are classified as food sales). This category includes enclosed malls and strip shopping centers. Basic Characteristics [ See also: Equipment | Activity Subcategories | Energy Use ] Mercantile Buildings... Almost half of all mercantile buildings were less than 5,000 square feet. Roughly two-thirds of mercantile buildings housed only one establishment. Another 20 percent housed between two and five establishments, and the remaining 12 percent housed six or more establishments. Tables: Buildings and Size Data by Basic Characteristics Establishment, Employment, and Age Data by Characteristics

273

Other Buildings  

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

Other Other Characteristics by Activity... Other Other buildings are those that do not fit into any of the specifically named categories. Basic Characteristics [ See also: Equipment | Activity Subcategories | Energy Use ] Other Buildings... Other buildings include airplane hangars; laboratories; buildings that are industrial or agricultural with some retail space; buildings having several different commercial activities that, together, comprise 50 percent or more of the floorspace, but whose largest single activity is agricultural, industrial/manufacturing, or residential; and all other miscellaneous buildings that do not fit into any other CBECS category. Since these activities are so diverse, the data are probably less meaningful than for other activities; they are provided here to complete

274

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

E-Print Network (OSTI)

by electric and hybrid vehicles", SAE Technical Papers No.household response to hybrid vehicles. Finally, we suggestas electric or hybrid vehicles. Transitions in choices of

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

275

Buildings*","Buildings  

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

8. Primary Space-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" 8. Primary Space-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Buildings with Space Heating","Primary Space-Heating Energy Source Used a" ,,,"Electricity","Natural Gas","Fuel Oil","District Heat" "All Buildings* ...............",4645,3982,1258,1999,282,63 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2552,2100,699,955,171,"Q" "5,001 to 10,000 ..............",889,782,233,409,58,"Q" "10,001 to 25,000 .............",738,659,211,372,32,"Q" "25,001 to 50,000 .............",241,225,63,140,8,9

276

Buildings*","Buildings  

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

6. Space Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" 6. Space Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Buildings with Space Heating","Space-Heating Energy Sources Used (more than one may apply)" ,,,"Elec- tricity","Natural Gas","Fuel Oil","District Heat","Propane","Other a" "All Buildings* ...............",4645,3982,1766,2165,360,65,372,113 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2552,2100,888,1013,196,"Q",243,72 "5,001 to 10,000 ..............",889,782,349,450,86,"Q",72,"Q" "10,001 to 25,000 .............",738,659,311,409,46,18,38,"Q"

277

Buildings*","Buildings  

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

1. Water-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" 1. Water-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Buildings with Water Heating","Water-Heating Energy Sources Used (more than one may apply)" ,,,"Elec- tricity","Natural Gas","Fuel Oil","District Heat","Propane" "All Buildings* ...............",4645,3472,1910,1445,94,27,128 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2552,1715,1020,617,41,"N",66 "5,001 to 10,000 ..............",889,725,386,307,"Q","Q",27 "10,001 to 25,000 .............",738,607,301,285,16,"Q",27

278

Building America  

SciTech Connect

IBACOS researched the constructability and viability issues of using high performance windows as one component of a larger approach to building houses that achieve the Building America 70% energy savings target.

Brad Oberg

2010-12-31T23:59:59.000Z

279

Prototype Buildings  

Science Conference Proceedings (OSTI)

... The SDC D buildings, designed for Seattle, Washington, used special moment frames (SMFs) with reduced beam section (RBS) connections. ...

2013-02-08T23:59:59.000Z

280

DOE - Office of Legacy Management -- Foote Mineral Co - PA 27  

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

Foote Mineral Co - PA 27 Foote Mineral Co - PA 27 FUSRAP Considered Sites Site: Foote Mineral Co. (PA.27 ) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Exton , Pennsylvania PA.27-1 Evaluation Year: 1987 PA.27-1 Site Operations: Processed rare earth, principally zirconium and monazite sand was processed on a pilot-plant scale. PA.27-2 Site Disposition: Eliminated - Limited quantity of material handled - Potential for contamination considered remote PA.27-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Zirconium, Possibly Uranium PA.27-1 PA.27-2 PA.27-3 Radiological Survey(s): None Indicated Site Status: Eliminated from further consideration under FUSRAP Also see Documents Related to Foote Mineral Co.

Note: This page contains sample records for the topic "building foot household" 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

Ground resistance of the foot in substation yards  

SciTech Connect

The ground resistance of the foot is affected by the limited depth of the gravel layer usually spread over the surface of the soil in substation yards.Equations and graphs given in IEEE Standard 80 to determine this ground resistance are not accurate and give conservative results. This paper presents more accurate equations and graphs for determining the ground resistance of the foot in a substation having a thin surface layer of gravel. Analysis has been made with two models of the foot. In one model the foot is represented by an equivalent circular plate and in the other by an equivalent rectangular plate. Results obtained with these two models and with the IEEE Standard 80 method have been compared.

Thapar, B.; Gerez, V.; Emmanuel, P. (Montana State Univ., Bozeman (United States))

1993-01-01T23:59:59.000Z

282

BigFoot GPP and NPP Summaries, 2000-2004  

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

GPP and NPP Summaries, 2000-2004 GPP and NPP Summaries, 2000-2004 Reflectance data from MODIS, the Moderate Resolution Imaging Spectrometer onboard NASA's Earth Observing System (EOS) satellite Terra ( http://landval.gsfc.nasa.gov/MODIS/index.html ), is used to produce several science products including land cover, leaf area index (LAI), gross primary production (GPP) and net primary production (NPP). The overall goal of the BigFoot Project was to provide validation of these products. Background information on the BigFoot Project is available at: http://www.fsl.orst.edu/larse/bigfoot/index.html. A set of NPP/GPP summary figures was developed for each of the 9 BigFoot sites. Each set contains images and figures associated with creating the BigFoot NPP and GPP products, comparing them to MODIS products, and

283

Buildings Blog  

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

blog Office of Energy Efficiency & blog Office of Energy Efficiency & Renewable Energy Forrestal Building 1000 Independence Avenue, SW Washington, DC 20585 en EnergyPlus Boosts Building Efficiency with Help from Autodesk http://energy.gov/eere/articles/energyplus-boosts-building-efficiency-help-autodesk building-efficiency-help-autodesk" class="title-link">EnergyPlus Boosts Building Efficiency with Help from Autodesk

284

Building Science  

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

Science Science The "Enclosure" Joseph Lstiburek, Ph.D., P.Eng, ASHRAE Fellow www.buildingscience.com * Control heat flow * Control airflow * Control water vapor flow * Control rain * Control ground water * Control light and solar radiation * Control noise and vibrations * Control contaminants, environmental hazards and odors * Control insects, rodents and vermin * Control fire * Provide strength and rigidity * Be durable * Be aesthetically pleasing * Be economical Building Science Corporation Joseph Lstiburek 2 Water Control Layer Air Control Layer Vapor Control Layer Thermal Control Layer Building Science Corporation Joseph Lstiburek 3 Building Science Corporation Joseph Lstiburek 4 Building Science Corporation Joseph Lstiburek 5 Building Science Corporation

285

Building Technologies Office: Residential Building Activities  

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

Residential Building Residential Building Activities to someone by E-mail Share Building Technologies Office: Residential Building Activities on Facebook Tweet about Building Technologies Office: Residential Building Activities on Twitter Bookmark Building Technologies Office: Residential Building Activities on Google Bookmark Building Technologies Office: Residential Building Activities on Delicious Rank Building Technologies Office: Residential Building Activities on Digg Find More places to share Building Technologies Office: Residential Building Activities on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Guidelines for Home Energy Professionals

286

Better Buildings Neighborhood Program: Better Buildings Neighborhood  

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

Better Buildings Neighborhood Program Search Better Buildings Neighborhood Program Search Search Help Better Buildings Neighborhood Program HOME ABOUT BETTER BUILDINGS PARTNERS INNOVATIONS RUN A PROGRAM TOOLS & RESOURCES NEWS EERE » Building Technologies Office » Better Buildings Neighborhood Program Printable Version Share this resource Send a link to Better Buildings Neighborhood Program: Better Buildings Neighborhood Program to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Neighborhood Program on Facebook Tweet about Better Buildings Neighborhood Program: Better Buildings Neighborhood Program on Twitter Bookmark Better Buildings Neighborhood Program: Better Buildings Neighborhood Program on Google Bookmark Better Buildings Neighborhood Program: Better Buildings Neighborhood Program on Delicious

287

Building Technologies Office: Advancing Building Energy Codes  

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

Building Energy Codes Building Energy Codes Printable Version Share this resource Send a link to Building Technologies Office: Advancing Building Energy Codes to someone by E-mail Share Building Technologies Office: Advancing Building Energy Codes on Facebook Tweet about Building Technologies Office: Advancing Building Energy Codes on Twitter Bookmark Building Technologies Office: Advancing Building Energy Codes on Google Bookmark Building Technologies Office: Advancing Building Energy Codes on Delicious Rank Building Technologies Office: Advancing Building Energy Codes on Digg Find More places to share Building Technologies Office: Advancing Building Energy Codes on AddThis.com... Popular Links Success Stories Previous Next Lighten Energy Loads with System Design. Warming Up to Pump Heat.

288

Building Technologies Office: Building America Meetings  

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

Building America Building America Meetings to someone by E-mail Share Building Technologies Office: Building America Meetings on Facebook Tweet about Building Technologies Office: Building America Meetings on Twitter Bookmark Building Technologies Office: Building America Meetings on Google Bookmark Building Technologies Office: Building America Meetings on Delicious Rank Building Technologies Office: Building America Meetings on Digg Find More places to share Building Technologies Office: Building America Meetings on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Research Innovations Research Tools Building Science Education Climate-Specific Guidance Solution Center Partnerships Meetings Publications Home Energy Score Home Performance with ENERGY STAR

289

Cranfield University Building 41 (Stafford Cripps Building)  

E-Print Network (OSTI)

Cranfield University Building 41 (Stafford Cripps Building) Building 41, formally known as the Stafford Cripps Building, has been transformed into a new Learning and Teaching Facility. Proposed ground

290

Better Buildings Neighborhood Program: Better Buildings Residential...  

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

Better Buildings Residential Network to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Residential Network on Facebook Tweet about Better Buildings...

291

Building Technologies Office: Better Buildings Challenge  

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

on Twitter Bookmark Building Technologies Office: Better Buildings Challenge on Google Bookmark Building Technologies Office: Better Buildings Challenge on Delicious Rank...

292

Building Technologies Office: Building Energy Optimization Software  

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

Building Energy Building Energy Optimization Software to someone by E-mail Share Building Technologies Office: Building Energy Optimization Software on Facebook Tweet about Building Technologies Office: Building Energy Optimization Software on Twitter Bookmark Building Technologies Office: Building Energy Optimization Software on Google Bookmark Building Technologies Office: Building Energy Optimization Software on Delicious Rank Building Technologies Office: Building Energy Optimization Software on Digg Find More places to share Building Technologies Office: Building Energy Optimization Software on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Research Innovations Research Tools Building Science Education Climate-Specific Guidance

293

Residential Buildings  

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

Exterior and interior of apartment building Exterior and interior of apartment building Residential Buildings The study of ventilation in residential buildings is aimed at understanding the role that air leakage, infiltration, mechanical ventilation, natural ventilation and building use have on providing acceptable indoor air quality so that energy and related costs can be minimized without negatively impacting indoor air quality. Risks to human health and safety caused by inappropriate changes to ventilation and air tightness can be a major barrier to achieving high performance buildings and must be considered.This research area focuses primarily on residential and other small buildings where the interaction of the envelope is important and energy costs are dominated by space conditioning energy rather than air

294

U.S. Patent 8,389,878, Weigh-in-Motion Scale with Foot Alignment Features  

SciTech Connect

A pad is disclosed for use in a weighing system for weighing a load. The pad includes a weighing platform, load cells, and foot members. Improvements to the pad reduce or substantially eliminate rotation of one or more of the corner foot members. A flexible foot strap disposed between the corner foot members reduces rotation of the respective foot members about vertical axes through the corner foot members and couples the corner foot members such that rotation of one corner foot member results in substantially the same amount of rotation of the other comer foot member. In a strapless variant one or more fasteners prevents substantially all rotation of a foot member. In a diagonal variant, a foot strap extends between a corner foot member and the weighing platform to reduce rotation of the foot member about a vertical axis through the comer foot member.

Abercrombie, Robert K [ORNL; Richardson, Gregory [ORNL; Scudiere, Matthew B [ORNL

2013-01-01T23:59:59.000Z

295

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

296

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

297

Towards sustainable household energy use in the Netherlands, Int  

E-Print Network (OSTI)

Abstract: Households consume direct energy, using natural gas, heating oil, gasoline and electricity, and consume indirect energy, the energy related to the production of goods and the delivery of services for the households. Past trends and present-day household energy use (direct and indirect) are analysed and described. A comparison of these findings with objectives concerning ecological sustainability demonstrates that present-day household energy use is not sustainable. A scenario towards sustainable household energy use is designed containing far-reaching measures with regard to direct energy use. Scenario evaluation shows a substantial reduction of direct energy use; however, this is not enough to meet the sustainability objectiv es. Based on these results, the possibilities and the limitations are discussed to enable households to make their direct and indirect energy use sustainable on the long run.

Jack Van Der Wal; Henri C. Moll

2001-01-01T23:59:59.000Z

298

Building Green in Greensburg: The Peoples Bank  

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

The Peoples Bank The Peoples Bank The Peoples Bank building opened its doors to the public on December 21, 2009. With its vault and an adjoining room designed to serve as a storm shelter, the 2,100-square-foot building is about 300 square feet larger than the pre-tornado facility. Its innovative design incorporates a variety of sustainable features that will save energy and money. The building is situated on the lot to take full advantage of the sun and features large, tinted-glass doors on its south side that provide passive solar heating in winter months; south-facing overhangs reduce the need for air-conditioning when the summer sun is at its hottest. ENERGY EFFICIENCY FEATURES * Building orientation takes advantage of southern exposure to reduce heating loads,

299

A Reliable Natural Language Interface to Household Appliances  

E-Print Network (OSTI)

“I have always wished that my computer would be as easy to use as my telephone. My wish has come true. I no longer know how to use my telephone.” – Bjarne Stroustrop (originator of C++) As household appliances grow in complexity and sophistication, they become harder and harder to use, particularly because of their tiny display screens and limited keyboards. This paper describes a strategy for building natural language interfaces to appliances that circumvents these problems. Our approach leverages decades of research on planning and natural language interfaces to databases by reducing the appliance problem to the database problem; the reduction provably maintains desirable properties of the database interface. The paper goes on to describe the implementation and evaluation of the EXACT interface to appliances, which is based on this reduction. EXACT maps each English user request to an SQL query, which is transformed to create a PDDL goal, and uses the Blackbox planner [13] to map the planning problem to a sequence of appliance commands that satisfy the original request. Both theoretical arguments and experimental evaluation show that EXACT is highly reliable.

Alexander Yates

2003-01-01T23:59:59.000Z

300

Building Technologies Office: Commercial Reference Buildings  

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

Commercial Reference Commercial Reference Buildings to someone by E-mail Share Building Technologies Office: Commercial Reference Buildings on Facebook Tweet about Building Technologies Office: Commercial Reference Buildings on Twitter Bookmark Building Technologies Office: Commercial Reference Buildings on Google Bookmark Building Technologies Office: Commercial Reference Buildings on Delicious Rank Building Technologies Office: Commercial Reference Buildings on Digg Find More places to share Building Technologies Office: Commercial Reference Buildings on AddThis.com... About Take Action to Save Energy Activities 179d Tax Calculator Advanced Energy Design Guides Advanced Energy Retrofit Guides Building Energy Data Exchange Specification Buildings Performance Database Data Centers Energy Asset Score

Note: This page contains sample records for the topic "building foot household" 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

Building Technologies Office: Buildings to Grid Integration  

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

Buildings to Grid Buildings to Grid Integration to someone by E-mail Share Building Technologies Office: Buildings to Grid Integration on Facebook Tweet about Building Technologies Office: Buildings to Grid Integration on Twitter Bookmark Building Technologies Office: Buildings to Grid Integration on Google Bookmark Building Technologies Office: Buildings to Grid Integration on Delicious Rank Building Technologies Office: Buildings to Grid Integration on Digg Find More places to share Building Technologies Office: Buildings to Grid Integration on AddThis.com... About Take Action to Save Energy Partner with DOE Activities Appliances Research Building Envelope Research Windows, Skylights, & Doors Research Space Heating & Cooling Research Water Heating Research Lighting Research

302

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... energy consumption. ... Healy, WM; Effect of Usage Conditions on Household Refrigerator-Freezer and Freezer Energy Consumption. ...

303

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... Effect of Usage Conditions on Household Refrigerator-Freezer and Freezer Energy Consumption. Effect of Usage Conditions ...

304

Essays on the effects of demographics on household consumption.  

E-Print Network (OSTI)

??My dissertation analyses the relationship between households' consumption behavior and changes in family demographic characteristics. The first paper studies consumption over the period of the… (more)

Stepanova, Ekaterina, 1977-

2006-01-01T23:59:59.000Z

305

A Model of Household Demand for Activity Participation and Mobility  

E-Print Network (OSTI)

household car ownership, car usage, and travel by differentownership demand, and car usage demand. Modal travel demand,mode), car ownership, and car usage for spatial aggregations

Golob, Thomas F.

1996-01-01T23:59:59.000Z

306

Crime and the Nation’s Households, 2000 By  

E-Print Network (OSTI)

experienced 1 or more violent or property crimes in 2000, according to data from the National Crime Victimization Survey (NCVS). About 4.3 million households had members who experienced 1 or more nonfatal violent crimes, including rape, sexual assault, robbery, and aggravated or simple assault. About 14.8 million households experienced 1 or more property crimes — household burglary, motor vehicle theft, or theft. Vandalism, presented for the first time in a Bureau of Justice Statistics (BJS) report, victimized about 6.1 million households. The households that sustained vandalism were counted separately from those experiencing other crimes. Because vandalism is included for the first time, findings are presented in a box on page 4. Beginning in 2001, NCVS victimizations will be measured both with and without vandalism. Measuring the extent to which households are victimized by crime One measure of the impact of crime throughout the Nation is gained through estimating the number and percentage of households victimized Highlights During 2000, 16 % of U.S. households had a member who experienced a crime, with 4 % having a member victimized by violent crime. During 1994, 25 % of households experienced at least one crime; 7 % a violent crime.

Patsy A. Klaus

2002-01-01T23:59:59.000Z

307

Analysis of the energy requirement for household consumption.  

E-Print Network (OSTI)

??Humans in households use energy for their activities. This use is both direct, for example electricity and natural gas, but also indirect, for the production,… (more)

Vringer, Kees

2005-01-01T23:59:59.000Z

308

Table 1. Household Characteristics by Ceiling Fans, 2001  

U.S. Energy Information Administration (EIA)

A reporting of the number of housing units using ceiling fans in U.S. households as reported in the 2001 Residential Energy Consumption Survey

309

U.S. households are incorporating energy–efficient features ...  

U.S. Energy Information Administration (EIA)

... area of increased efficiency: about 60% of households use at least some energy-efficient compact fluorescent (CFL) or light-emitting diode (LED) ...

310

Householder's Perceptions of Insulation Adequacy and Drafts in the ...  

U.S. Energy Information Administration (EIA)

The 2001 RECS was the first RECS to request household perceptions regarding the presence of winter drafts in the home. The data presented in this report ...

311

Answers to Frequently Asked Questions About the Household ...  

U.S. Energy Information Administration (EIA)

Form EIA-457E (2001) – Household Electricity Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey

312

Barriers to household investment in residential energy conservation: preliminary assessment  

Science Conference Proceedings (OSTI)

A general assessment of the range of barriers which impede household investments in weatherization and other energy efficiency improvements for their homes is provided. The relationship of similar factors to households' interest in receiving a free energy audits examined. Rates of return that underly household investments in major conservation improvements are assessed. A special analysis of household knowledge of economically attractive investments is provided that compares high payback improvements specified by the energy audit with the list of needed or desirable conservation improvements identified by respondents. (LEW)

Hoffman, W.L.

1982-12-01T23:59:59.000Z

313

Household Responses to the Financial Crisis in Indonesia  

E-Print Network (OSTI)

on farm households in Indonesia and Thailand,” World Bank20. Cameron, Lisa. (1999). “Indonesia: a quarterly review,”The Real Costs of Indonesia's Economic Crisis: Preliminary

Thomas, Duncan; Frankenberg, Elizabeth

2005-01-01T23:59:59.000Z

314

Answers to Frequently Asked Questions About the Household Bottled ...  

U.S. Energy Information Administration (EIA)

Form EIA-457D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey

315

SUPPLEMENTAL ENERGY-RELATED DATA FOR THE 2001 NATIONAL HOUSEHOLD ...  

U.S. Energy Information Administration (EIA)

... vehicle manufacturer, vehicle model, vehicle model year, and vehicle type – several ENERGY INFORMATION ADMINISTRATION/2001 NATIONAL HOUSEHOLD TRAVEL SURVEY K-23 ...

316

Household energy consumption and expenditures 1987  

SciTech Connect

This report is the third in the series of reports presenting data from the 1987 Residential Energy Consumption Survey (RECS). The 1987 RECS, seventh in a series of national surveys of households and their energy suppliers, provides baseline information on household energy use in the United States. Data from the seven RECS and its companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are made available to the public in published reports such as this one, and on public use data files. This report presents data for the four Census regions and nine Census divisions on the consumption of and expenditures for electricity, natural gas, fuel oil and kerosene (as a single category), and liquefied petroleum gas (LPG). Data are also presented on consumption of wood at the Census region level. The emphasis in this report is on graphic depiction of the data. Data from previous RECS surveys are provided in the graphics, which indicate the regional trends in consumption, expenditures, and uses of energy. These graphs present data for the United States and each Census division. 12 figs., 71 tabs.

Not Available

1990-01-22T23:59:59.000Z

317

Better Buildings Federal Award 2013 Guidelines for Entering | Department of  

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

2013 Guidelines for Entering 2013 Guidelines for Entering Better Buildings Federal Award 2013 Guidelines for Entering October 7, 2013 - 4:40pm Addthis Have Questions? A list of frequently asked questions contains answers to a variety of Better Buildings Federal Award queries. The Better Buildings Federal Award recognizes the Federal Government's highest-performing buildings through a competition to reduce annual energy intensity (Btu per square foot of facility space) on a year-over-year basis. The winner is the Federal building that reduces its energy intensity the most as compared to the previous year. Selecting Applicants Agencies should consider nominating a building based on how well it expects the building to perform in 2013 as compared to 2012, taking into account a wide range of innovative or comprehensive energy management practices being

318

Office Buildings  

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

Since they comprised 18 percent of commercial floorspace, this means that their total energy intensity was just slightly above average. Office buildings predominantly used...

319

Model of home heating and calculation of rates of return to household energy conservation investment  

Science Conference Proceedings (OSTI)

This study attempts to find out if households' investments on energy conservation yield expected returns. It first builds a home-heating regression model, then uses the results of the model to calculate the rates of return for households' investments on the energy conservation. The home heating model includes housing characteristics, economic and demographic variables, appliance related variables, and regional dummy variables. Housing characteristic variables are modeled according to the specific physical relationship between the house and its heating requirement. Data from the Residential Energy Consumption Survey (RECS) of 1980-1981 is used for the empirical testing of the model. The model is estimated for single-detached family houses separately for three major home-heating fuel types: electricity, natural gas and fuel oil. Four scenarios are used to calculate rates of return for each household. The results show in the Northern areas the rates of return in most of the cases are a lot higher than market interest rates. In the Western and Southern areas, with few exceptions, the rates of return are lower than market interest rates. The variation of heating degree days and energy prices can affect the rates of return up to 20 percentage points.

Hsueh, L.M.

1984-01-01T23:59:59.000Z

320

Better Buildings Neighborhood Program: Better Buildings Partners  

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

Better Better Buildings Partners to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Partners on Facebook Tweet about Better Buildings Neighborhood Program: Better Buildings Partners on Twitter Bookmark Better Buildings Neighborhood Program: Better Buildings Partners on Google Bookmark Better Buildings Neighborhood Program: Better Buildings Partners on Delicious Rank Better Buildings Neighborhood Program: Better Buildings Partners on Digg Find More places to share Better Buildings Neighborhood Program: Better Buildings Partners on AddThis.com... Better Buildings Residential Network Progress Stories Interviews Videos Events Quick Links to Partner Information AL | AZ | CA | CO | CT FL | GA | IL | IN | LA ME | MD | MA | MI | MO NE | NV | NH | NJ | NY

Note: This page contains sample records for the topic "building foot household" 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

Building Technologies Office: Integrated Building Management System  

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

Integrated Building Integrated Building Management System Research Project to someone by E-mail Share Building Technologies Office: Integrated Building Management System Research Project on Facebook Tweet about Building Technologies Office: Integrated Building Management System Research Project on Twitter Bookmark Building Technologies Office: Integrated Building Management System Research Project on Google Bookmark Building Technologies Office: Integrated Building Management System Research Project on Delicious Rank Building Technologies Office: Integrated Building Management System Research Project on Digg Find More places to share Building Technologies Office: Integrated Building Management System Research Project on AddThis.com... About Take Action to Save Energy Partner with DOE

322

Building Technologies Office: National Laboratories Supporting Building  

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

National Laboratories National Laboratories Supporting Building America to someone by E-mail Share Building Technologies Office: National Laboratories Supporting Building America on Facebook Tweet about Building Technologies Office: National Laboratories Supporting Building America on Twitter Bookmark Building Technologies Office: National Laboratories Supporting Building America on Google Bookmark Building Technologies Office: National Laboratories Supporting Building America on Delicious Rank Building Technologies Office: National Laboratories Supporting Building America on Digg Find More places to share Building Technologies Office: National Laboratories Supporting Building America on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America

323

Energy-Efficient Commercial Buildings Tax Deduction | Department of Energy  

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

Energy-Efficient Commercial Buildings Tax Deduction Energy-Efficient Commercial Buildings Tax Deduction Energy-Efficient Commercial Buildings Tax Deduction < Back Eligibility Commercial Construction Fed. Government State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Construction Design & Remodeling Windows, Doors, & Skylights Ventilation Manufacturing Heat Pumps Appliances & Electronics Commercial Lighting Lighting Insulation Water Heating Maximum Rebate 1.80 per square foot Program Info Start Date 1/1/2006 Program Type Corporate Deduction Rebate Amount 0.30-1.80 per square foot, depending on technology and amount of energy reduction Provider U.S. Internal Revenue Service The federal Energy Policy Act of 2005 established a tax deduction for

324

Community United Methodist Church solar classroom building. Phase II  

DOE Green Energy (OSTI)

The new building reported is formed by three 20 foot by 70 foot modules, each with the long axis in the east-west direction and with a shed roof over each. Solar features include daylighting, fixed insulating shades over the clerestory windows to minimize heat loss during the winter, some operable clerestory windows for ventillation, thermal mass in the form of a concrete floor slab and dark concrete masonry walls on the north end of interior space, ceiling fans for air circulation and sensible cooling, and a large exhaust fan for night cooling. Backup heating is provided by a natural gas furnace, and an air-conditioning unit is included primarily for humidity control in the summer. The building is highly insulated and incorporates designs which minimize air infiltration. A cost analysis for construction of the building is included. (LEW)

Not Available

1981-01-01T23:59:59.000Z

325

Residential Buildings  

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

Residential Residential Residential Buildings Residential buildings-such as single family homes, townhomes, condominiums, and apartment buildings-are all covered by the Residential Energy Consumption Survey (RECS). See the RECS home page for further information. However, buildings that offer multiple accomodations such as hotels, motels, inns, dormitories, fraternities, sororities, convents, monasteries, and nursing homes, residential care facilities are considered commercial buildings and are categorized in the CBECS as lodging. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/residential.html

326

Household attitudes toward energy conservation in the Pacific Northwest: overview and comparisons  

SciTech Connect

This report presents an overview of a baseline residential energy conservation study for the Pacific Northwest conducted in November 1983 by RMH Research, Inc. It also compares the study results with available data from other surveys. The primary focus of the RMH study is conservation marketing. As such it assesses the attitudes, perceptions, and past conservation actions of the region's residents and provides market segmentation based upon past conservation actions and the propensity to invest in conservation in the future. Excluding renters, who account for about 24% of the region's households, three prospect groups for marketing conservation investments are identified: First Tier Prospects who are very likely to invest in additional conservation measures requiring larger sums of money (estimated at about 547,000 households, or 18 percent of the region's households); Second Tier Prospects who are somewhat likely to invest in full weatherization (estimated at about 22% of the region's households or 695,700); and Non-Prospects who are unlikely to invest in energy conservation in the near future (estimated to be 1,113,400 or 36% of the regional total). A summary comparison of the most important distinguishing attributes of the three prospect groups is presented. Considering the current surplus status of the region's electricity supply situation and the overall strategy in capability building, implications include (1) using public information programs through utilities and the news media to maintain the conservation interests of the first-tier prospects and (2) exploring ways to move the second-tier prospects into the first tier and to reach the so-called non-prospect and rental housing groups.

Fang, J.M.

1985-06-01T23:59:59.000Z

327

Simulating household activities to lower consumption peaks: demonstration  

Science Conference Proceedings (OSTI)

Energy experts need fine-grained dynamics oriented tools to investigate household activities in order to improve power management in the residential sector. This paper presents the SMACH framework for modelling, simulating and analy- sis of household ... Keywords: agent-based modelling, energy, social simulation

Edouard Amouroux, Francois Sempé, Thomas Huraux, Nicolas Sabouret, Yvon Haradji

2013-05-01T23:59:59.000Z

328

Elements of consumption: an abstract visualization of household consumption  

Science Conference Proceedings (OSTI)

To promote sustainability consumers must be informed about their consumption behaviours. Ambient displays can be used as an eco-feedback technology to convey household consumption information. Elements of Consumption (EoC) demonstrates this by visualizing ... Keywords: a-life, eco-feedback, household consumption, sustainability

Stephen Makonin; Philippe Pasquier; Lyn Bartram

2011-07-01T23:59:59.000Z

329

A REVIEW OF ASSUMPTIONS AND ANALYSIS IN EPRI EA-3409, "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPS BEHAVIORAL MODELS"  

E-Print Network (OSTI)

EPRI EA-3409, "Household Appliance Choice: Revision of REEPSEA",3409: "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPSreport EA-3409, "Household Appliance Choice: Revi- sion of

Wood, D.J.

2010-01-01T23:59:59.000Z

330

Building Technologies Office: Commercial Building Partnership Opportunities  

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

Commercial Building Commercial Building Partnership Opportunities with the Department of Energy to someone by E-mail Share Building Technologies Office: Commercial Building Partnership Opportunities with the Department of Energy on Facebook Tweet about Building Technologies Office: Commercial Building Partnership Opportunities with the Department of Energy on Twitter Bookmark Building Technologies Office: Commercial Building Partnership Opportunities with the Department of Energy on Google Bookmark Building Technologies Office: Commercial Building Partnership Opportunities with the Department of Energy on Delicious Rank Building Technologies Office: Commercial Building Partnership Opportunities with the Department of Energy on Digg Find More places to share Building Technologies Office: Commercial

331

Better Buildings Neighborhood Program: Better Buildings Residential  

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

Better Better Buildings Residential Network-Current Members to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Facebook Tweet about Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Twitter Bookmark Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Google Bookmark Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Delicious Rank Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Digg Find More places to share Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on AddThis.com...

332

Building Technologies Office: About Residential Building Programs  

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

About Residential About Residential Building Programs to someone by E-mail Share Building Technologies Office: About Residential Building Programs on Facebook Tweet about Building Technologies Office: About Residential Building Programs on Twitter Bookmark Building Technologies Office: About Residential Building Programs on Google Bookmark Building Technologies Office: About Residential Building Programs on Delicious Rank Building Technologies Office: About Residential Building Programs on Digg Find More places to share Building Technologies Office: About Residential Building Programs on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links Success Stories Previous Next Warming Up to Pump Heat.

333

Building on Efficiency | Department of Energy  

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

Building on Efficiency Building on Efficiency Building on Efficiency May 4, 2012 - 3:59pm Addthis Heather Zichal Deputy Assistant to the President for Energy and Climate Change Ed. Note: This entry is cross-posted from the White House blog. We're excited about the expansion of the Green Button program, and developers should be sure to check out Apps for Energy, our Green Button app development challenge. Two administration-led, industry-driven efforts marked milestones today. The first will put Americans to work on more than $2 billion in energy upgrades for federal buildings. The second will offer 30 million households and businesses more control over their energy bills. And together, these efforts will support an economy that's built to last, one that makes use of every source of American energy - more efficiently.

334

Appendix C-1 C-1.1 Buildings Appendix C-1: Technology data  

E-Print Network (OSTI)

Energy Consumption and Market Segments for Existing Residential Building HVAC Policies, Moderate Case C-1.2.mod Average Household Energy Consumption and Market Segments for Existing Residential Building HVAC/or in homes with higher than average energy consumption. We applied such technologies only to the market

335

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

U.S. Energy Information Administration (EIA)

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

336

Energy Department Announces Winner of the 2013 Better Buildings Federal  

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

Winner of the 2013 Better Buildings Winner of the 2013 Better Buildings Federal Award Competition Energy Department Announces Winner of the 2013 Better Buildings Federal Award Competition December 17, 2013 - 3:51pm Addthis The Energy Department today announced that the General Services Administration's (GSA) United States Court House in Wichita, Kansas is the winner of the 2013 Better Buildings Federal Award. The Better Buildings Federal Award challenges agencies to achieve the greatest reduction in annual energy intensity, or energy consumed per gross square foot. This year's winner cut its energy intensity by 20% and saved over $40,000 in utility costs in the 12 month competition period. Building on past energy efficiency improvements funded through the American Recovery and Reinvestment Act, GSA Region 6 implemented energy efficiency

337

Building Technologies Office: Bookmark Notice  

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

RESIDENTIAL BUILDINGS COMMERCIAL BUILDINGS APPLIANCE & EQUIPMENT STANDARDS BUILDING ENERGY CODES EERE Building Technologies Office Commercial Buildings Printable Version...

338

Building Technologies Office: Contacts  

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

Office: Contacts on Twitter Bookmark Building Technologies Office: Contacts on Google Bookmark Building Technologies Office: Contacts on Delicious Rank Building...

339

Building Technologies Office: Webmaster  

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

Office: Webmaster on Twitter Bookmark Building Technologies Office: Webmaster on Google Bookmark Building Technologies Office: Webmaster on Delicious Rank Building...

340

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... high rise buildings; building collapse; disasters; fire ... adhesive strength; building codes; cohesive ... materials; thermal conductivity; thermal insulation ...

Note: This page contains sample records for the topic "building foot household" 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

Building America Building Science Education Roadmap  

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

Building America Building America Building Science Education Roadmap April 2013 Contents Introduction ................................................................................................................................ 3 Background ................................................................................................................................. 4 Summit Participants .................................................................................................................... 5 Key Results .................................................................................................................................. 6 Problem ...................................................................................................................................... 7

342

Building Technologies Office: Residential Buildings Energy Efficiency...  

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

Buildings Energy Efficiency Meeting The U.S. Department of Energy (DOE) Building America program held the Residential Buildings Energy Efficiency Meeting in Denver, Colorado, on...

343

Building Technologies Office: Residential Buildings Energy Efficiency...  

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

Energy Efficiency Meeting to someone by E-mail Share Building Technologies Office: Residential Buildings Energy Efficiency Meeting on Facebook Tweet about Building Technologies...

344

Building Technologies Office: 2013 DOE Building Technologies...  

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

2013 DOE Building Technologies Office Program Review to someone by E-mail Share Building Technologies Office: 2013 DOE Building Technologies Office Program Review on Facebook Tweet...

345

Building Green in Greensburg: Centera Bank  

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

Centera Bank Centera Bank After a category EF-5 tornado virtually leveled the entire town of Greensburg in 2007, the owners of Centera Bank were determined to rebuild green. Design plans were drawn up with optimal energy efficiency and sustainability in mind, in keeping with the goals of the City of Greensburg to rebuild green. Situated on a downtown corner lot across the street from the bank's former location, the new 4,000-square-foot building incorporates energy-efficient building principles required to achieve the U.S. Green Building Council's Leadership in Energy and Environmental Design (LEED ® ) certification. ENERGY EFFICIENCY FEATURES * A high-efficiency air-cooled heat pump split system harnesses the benefits of environmentally friendly R-410 refrigeration in both the heating and cooling mode to reduce

346

Building debris  

E-Print Network (OSTI)

This thesis relates architectural practices to intelligent use of resources and the reuse of derelict spaces. The initial investigation of rammed earth as a building material is followed by site-specific operations at the ...

Dahmen, Joseph (Joseph F. D.)

2006-01-01T23:59:59.000Z

347

Industrial Buildings  

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

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

348

Table AC1. Total Households Using Air-Conditioning Equipment, 2005 ...  

U.S. Energy Information Administration (EIA)

Table AC1. Total Households Using Air-Conditioning Equipment, 2005 Million U.S. Households Type of Air-Conditioning Equipment (millions) Central System

349

Table CE2-3c. Space-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Physical Units (PU) per Household4,a Physical Units of Space-Heating Consumption per Household,3 Where the Main Space-Heating Fuel Is:

350

Table CE2-7c. Space-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

351

Table CE2-12c. Space-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

352

Table CE2-4c. Space-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

353

Table CE2-7c. Space-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Physical Units (PU) per Household3 Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

354

Material World: Forecasting Household Appliance Ownership in a Growing Global Economy  

E-Print Network (OSTI)

of Household Income and Appliance Ownership. ECEEE Summerof decreasing prices of appliances, if price data becomesForecasting Household Appliance Ownership in a Growing

Letschert, Virginie

2010-01-01T23:59:59.000Z

355

Table SH1. Total Households Using a Space Heating Fuel, 2005 ...  

U.S. Energy Information Administration (EIA)

Total Households Using a Space Heating Fuel, 2005 Million U.S. Households Using a Non-Major Fuel 5 ... Space Heating (millions) Energy Information Administration

356

Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

E-Print Network (OSTI)

1994) Demand for Electric Vehicles in Hybrid Households: A nand the Household Electric Vehicle Market: A Constraintsthe mar- ket for electric vehicles in California. Presented

Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

1996-01-01T23:59:59.000Z

357

Projecting household energy consumption within a conditional demand framework  

SciTech Connect

Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

Teotia, A.; Poyer, D.

1991-01-01T23:59:59.000Z

358

Projecting household energy consumption within a conditional demand framework  

Science Conference Proceedings (OSTI)

Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

Teotia, A.; Poyer, D.

1991-12-31T23:59:59.000Z

359

Application of Building Precooling to Reduce Peak Cooling Requirements  

E-Print Network (OSTI)

A building cooling control strategy was developed and tested for a 1.4 million square foot (130,000 square meter) office building located in Hoffman Estates, IL. The goal of the control strategy was to utilize building thermal mass to limit the peak cooling load for continued building operation in the event of the loss of one of the four central chiller units. The algorithm was first developed and evaluated through simulation and then evaluated through tests on two identical buildings. The east building utilized the existing building control strategy while the west building used the precooling strategy developed for this project. Consistent with simulation predictions, the precooling control strategy successfully limited the peak load to 75 % of the cooling capacity for the west building, while the east building operated at 100 % of capacity. Precooling of the building mass provided an economical alternative to the purchase of an additional chiller unit. The estimated cost of installing an additional chiller was approximately $500,000. Computer models developed for this project also showed that precooling based upon cooling cost minimization could result in savings of approximately $25,000 per month during the peak cooling season. The building model was validated with experimental results and could be used in the development of a cost minimization strategy.

Kevin R. Keeney; James E. Braun, Ph.D.

1997-01-01T23:59:59.000Z

360

Measurement of nicotine in household dust  

Science Conference Proceedings (OSTI)

An analytical method of measuring nicotine in house dust was optimized and associations among three secondhand smoking exposure markers were evaluated, i.e., nicotine concentrations of both house dust and indoor air, and the self-reported number of cigarettes smoked daily in a household. We obtained seven house dust samples from self-reported nonsmoking homes and 30 samples from smoking homes along with the information on indoor air nicotine concentrations and the number of cigarettes smoked daily from an asthma cohort study conducted by the Johns Hopkins Center for Childhood Asthma in the Urban Environment. House dust nicotine was analyzed by isotope dilution gas chromatography-mass spectrometry (GC/MS). Using our optimized method, the median concentration of nicotine in the dust of self-reported nonsmoking homes was 11.7 ng/mg while that of smoking homes was 43.4 ng/mg. We found a substantially positive association (r=0.67, P<0.0001) between house dust nicotine concentrations and the numbers of cigarettes smoked daily. Optimized analytical methods showed a feasibility to detect nicotine in house dust. Our results indicated that the measurement of nicotine in house dust can be used potentially as a marker of longer term SHS exposure.

Kim, Sungroul [Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Institute for Global Tobacco Control, 627 N. Washington Street, 2nd Floor Baltimore, MD 21205 (United States); Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States)], E-mail: srkim@jhsph.edu; Aung, Ther; Berkeley, Emily [Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States); Diette, Gregory B. [Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States); Department of Medicine, Johns Hopkins University School of Medicine (United States); Breysse, Patrick N. [Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States)

2008-11-15T23:59:59.000Z

Note: This page contains sample records for the topic "building foot household" 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

Buildings Energy Data Book  

Buildings Energy Data Book (EERE)

2.1 Residential Sector Energy Consumption 2.1 Residential Sector Energy Consumption 2.2 Residential Sector Characteristics 2.3 Residential Sector Expenditures 2.4 Residential Environmental Data 2.5 Residential Construction and Housing Market 2.6 Residential Home Improvements 2.7 Multi-Family Housing 2.8 Industrialized Housing 2.9 Low-Income Housing 3Commercial Sector 4Federal Sector 5Envelope and Equipment 6Energy Supply 7Laws, Energy Codes, and Standards 8Water 9Market Transformation Glossary Acronyms and Initialisms Technology Descriptions Building Descriptions Other Data Books Biomass Energy Transportation Energy Power Technologies Hydrogen Download the Entire Book Skip down to the tables Chapter 2 focuses on energy use in the U.S. residential buildings sector. Section 2.1 provides data on energy consumption by fuel type and end use, as well as energy consumption intensities for different housing categories. Section 2.2 presents characteristics of average households and changes in the U.S. housing stock over time. Sections 2.3 and 2.4 address energy-related expenditures and residential sector emissions, respectively. Section 2.5 contains statistics on housing construction, existing home sales, and mortgages. Section 2.6 presents data on home improvement spending and trends. Section 2.7 describes the industrialized housing industry, including the top manufacturers of various manufactured home products. Section 2.8 presents information on low-income housing and Federal weatherization programs. The main points from this chapter are summarized below:

362

U.S. Nominal Cost per Foot of Dry Wells Drilled (Dollars per...  

Annual Energy Outlook 2012 (EIA)

Dry Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Dry Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

363

Building Technologies Office: About  

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

through energy efficiency upgrades. 200-400 energy costs wasted by the average American household due to drafts, air leaks around openings, and outdated heating and cooling...

364

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... Measured Performance of Building Integrated Photovoltaic Panels. Round 2. Measured Performance of Building Integrated Photovoltaic Panels. ...

365

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

366

Appliance Standby Power and Energy Consumption in South African Households  

Open Energy Info (EERE)

Appliance Standby Power and Energy Consumption in South African Households Appliance Standby Power and Energy Consumption in South African Households Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Appliance Standby Power and Energy Consumption in South African Households Focus Area: Appliances & Equipment Topics: Policy Impacts Website: active.cput.ac.za/energy/web/DUE/DOCS/422/Paper%20-%20Shuma-Iwisi%20M. Equivalent URI: cleanenergysolutions.org/content/appliance-standby-power-and-energy-co Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance A modified engineering model is proposed to estimate standby power and energy losses in households. The modified model accounts for the randomness of standby power and energy losses due to unpredicted user appliance operational behavior.

367

A Theoretical Basis for Household Energy Conservation UsingProduct...  

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

A Theoretical Basis for Household Energy Conservation Using Product-Integrated Feedback Speaker(s): Teddy McCalley Date: October 11, 2002 - 12:00pm Location: Bldg. 90 Seminar Host...

368

Household Preferences for Supporting Renewable Energy, and Barriers...  

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

Household Preferences for Supporting Renewable Energy, and Barriers to Green Power Demand Speaker(s): Ryan Wiser Date: May 9, 2002 - 12:00pm Location: Bldg. 90 Nearly 40% of the...

369

Energy Consumption of Refrigerators in Ghana - Outcomes of Household...  

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

Energy Consumption of Refrigerators in Ghana - Outcomes of Household Surveys Speaker(s): Essel Ben Hagan Date: July 12, 2007 - 12:00pm Location: 90-3122 Seminar HostPoint of...

370

Profiling energy use in households and office spaces  

Science Conference Proceedings (OSTI)

Energy consumption is largely studied in the context of different environments, such as domestic, corporate, industrial, and public sectors. In this paper, we discuss two environments, households and office spaces, where people have an especially ...

Salman Taherian; Marcelo Pias; George Coulouris; Jon Crowcroft

2010-04-01T23:59:59.000Z

371

Smoothing consumption across households and time : essays in development economics  

E-Print Network (OSTI)

This thesis studies two strategies that households may use to keep their consumption smooth in the face of fluctuations in income and expenses: credit (borrowing and savings) and insurance (state contingent transfers between ...

Kinnan, Cynthia Georgia

2010-01-01T23:59:59.000Z

372

Characterizing Household Plug Loads through Self-Administered Load Research  

Science Conference Proceedings (OSTI)

Household miscellaneous loads, which include consumer electronics, are the fastest growing segment of household energy use in the United States. Although the relative energy intensity of applications such as heating and cooling is declining, the DOEAnnual Energy Outlook forecasts that the intensity of residential miscellaneous end uses will increase substantially by 2030. Studies by TIAX and Ecos Consulting reveal that miscellaneous devices8212smaller devices in terms of energy draw but growing in usage8...

2009-12-09T23:59:59.000Z

373

Transferring 2001 National Household Travel Survey  

Science Conference Proceedings (OSTI)

Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle Atlantic, and Pacific), MSA size, and the availability of rail. Extrapolating NHTS data within small geographic areas could risk developing and subsequently using unreliable estimates. For example, if a planning agency in City X of State Y estimates travel rates and other travel characteristics based on survey data collected from NHTS sample households that were located in City X of State Y, then the agency could risk developing and using unreliable estimates for their planning process. Typically, this limitation significantly increases as the size of an area decreases. That said, the NHTS contains a wealth of information that could allow statistical inferences about small geographic areas, with a pre-determined level of statistical certainty. The question then becomes whether a method can be developed that integrates the NHTS data and other data to estimate key travel characteristics for small geographic areas such as Census tract and transportation analysis zone, and whether this method can outperform other, competing methods.

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL; Schmoyer, Richard L [ORNL; Chin, Shih-Miao [ORNL

2007-05-01T23:59:59.000Z

374

Source separation of household waste: A case study in China  

SciTech Connect

A pilot program concerning source separation of household waste was launched in Hangzhou, capital city of Zhejiang province, China. Detailed investigations on the composition and properties of household waste in the experimental communities revealed that high water content and high percentage of food waste are the main limiting factors in the recovery of recyclables, especially paper from household waste, and the main contributors to the high cost and low efficiency of waste disposal. On the basis of the investigation, a novel source separation method, according to which household waste was classified as food waste, dry waste and harmful waste, was proposed and performed in four selected communities. In addition, a corresponding household waste management system that involves all stakeholders, a recovery system and a mechanical dehydration system for food waste were constituted to promote source separation activity. Performances and the questionnaire survey results showed that the active support and investment of a real estate company and a community residential committee play important roles in enhancing public participation and awareness of the importance of waste source separation. In comparison with the conventional mixed collection and transportation system of household waste, the established source separation and management system is cost-effective. It could be extended to the entire city and used by other cities in China as a source of reference.

Zhuang Ying; Wu Songwei; Wang Yunlong [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China); Wu Weixiang [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China)], E-mail: weixiang@zju.edu.cn; Chen Yingxu [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China)

2008-07-01T23:59:59.000Z

375

Household waste disposal in Mekelle city, Northern Ethiopia  

SciTech Connect

In many cities of developing countries, such as Mekelle (Ethiopia), waste management is poor and solid wastes are dumped along roadsides and into open areas, endangering health and attracting vermin. The effects of demographic factors, economic and social status, waste and environmental attributes on household solid waste disposal are investigated using data from household survey. Household level data are then analyzed using multinomial logit estimation to determine the factors that affect household waste disposal decision making. Results show that demographic features such as age, education and household size have an insignificant impact over the choice of alternative waste disposal means, whereas the supply of waste facilities significantly affects waste disposal choice. Inadequate supply of waste containers and longer distance to these containers increase the probability of waste dumping in open areas and roadsides relative to the use of communal containers. Higher household income decreases the probability of using open areas and roadsides as waste destinations relative to communal containers. Measures to make the process of waste disposal less costly and ensuring well functioning institutional waste management would improve proper waste disposal.

Tadesse, Tewodros [Agricultural Economics and Rural Policy Group, Wageningen University, Hollandseweg 1 6706 KN Wageningen (Netherlands)], E-mail: tewodroslog@yahoo.com; Ruijs, Arjan [Environmental Economics and Natural Resources Group, Wageningen University, P.O. Box 8130, 6700 EW Wageningen (Netherlands); Hagos, Fitsum [International Water Management Institute (IWMI), Subregional Office for the Nile Basin and East Africa, P.O. Box 5689, Addis Ababa (Ethiopia)

2008-07-01T23:59:59.000Z

376

Ventilation Behavior and Household Characteristics in NewCalifornia Houses  

SciTech Connect

A survey was conducted to determine occupant use of windows and mechanical ventilation devices; barriers that inhibit their use; satisfaction with indoor air quality (IAQ); and the relationship between these factors. A questionnaire was mailed to a stratified random sample of 4,972 single-family detached homes built in 2003, and 1,448 responses were received. A convenience sample of 230 houses known to have mechanical ventilation systems resulted in another 67 completed interviews. Some results are: (1) Many houses are under-ventilated: depending on season, only 10-50% of houses meet the standard recommendation of 0.35 air changes per hour. (2) Local exhaust fans are under-utilized. For instance, about 30% of households rarely or never use their bathroom fan. (3) More than 95% of households report that indoor air quality is ''very'' or ''somewhat'' acceptable, although about 1/3 of households also report dustiness, dry air, or stagnant or humid air. (4) Except households where people cook several hours per week, there is no evidence that households with significant indoor pollutant sources get more ventilation. (5) Except households containing asthmatics, there is no evidence that health issues motivate ventilation behavior. (6) Security and energy saving are the two main reasons people close windows or keep them closed.

Price, Phillip N.; Sherman, Max H.

2006-02-01T23:59:59.000Z

377

Building Technologies Office: Building America Research Tools  

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

Tools to someone by E-mail Tools to someone by E-mail Share Building Technologies Office: Building America Research Tools on Facebook Tweet about Building Technologies Office: Building America Research Tools on Twitter Bookmark Building Technologies Office: Building America Research Tools on Google Bookmark Building Technologies Office: Building America Research Tools on Delicious Rank Building Technologies Office: Building America Research Tools on Digg Find More places to share Building Technologies Office: Building America Research Tools on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Research Innovations Research Tools Building Science Education Climate-Specific Guidance Solution Center Partnerships Meetings Publications Home Energy Score

378

Building Technologies Office: Commercial Building Research  

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

to someone by E-mail to someone by E-mail Share Building Technologies Office: Commercial Building Research on Facebook Tweet about Building Technologies Office: Commercial Building Research on Twitter Bookmark Building Technologies Office: Commercial Building Research on Google Bookmark Building Technologies Office: Commercial Building Research on Delicious Rank Building Technologies Office: Commercial Building Research on Digg Find More places to share Building Technologies Office: Commercial Building Research on AddThis.com... About Take Action to Save Energy Activities 179d Tax Calculator Advanced Energy Design Guides Advanced Energy Retrofit Guides Building Energy Data Exchange Specification Buildings Performance Database Data Centers Energy Asset Score Energy Modeling Software Global Superior Energy Performance Partnership

379

Office Buildings - Types of Office Buildings  

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

PDF Office Buildings PDF Office Buildings Types of Office Buildings | Energy Consumption | End-Use Equipment Although no one building type dominates the commercial buildings sector, office buildings are the most common and account for more than 800,000 buildings or 17 percent of total commercial buildings. Offices comprised more than 12 billion square feet of floorspace, 17 percent of total commercial floorspace, the most of any building type. Types of Office Buildings The 2003 CBECS Detailed Tables present data for office buildings along with other principal building activities (see Detailed Tables B13 and B14, for example). Since office buildings comprise a wide range of office-related activities, survey respondents were presented with a follow-up list of specific office types to choose from. Although we have not presented the

380

Building Technologies Program: Building America Publications  

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

Program Program HOME ABOUT ENERGY EFFICIENT TECHNOLOGIES RESIDENTIAL BUILDINGS COMMERCIAL BUILDINGS APPLIANCE & EQUIPMENT STANDARDS BUILDING ENERGY CODES EERE » Building Technologies Program » Residential Buildings About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Research Innovations Research Tools Building Science Education Climate-Specific Guidance Solution Center Partnerships Meetings Publications Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Guidelines for Home Energy Professionals Technology Research, Standards, & Codes Feature featured product thumbnail Building America Best Practices Series Volume 14 - HVAC: A Guide for Contractors to Share with Homeowners Details Bookmark &

Note: This page contains sample records for the topic "building foot household" 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

Foote Creek Rim I Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Foote Creek Rim I Wind Farm Foote Creek Rim I Wind Farm Facility Foote Creek Rim I Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner PacifiCorp/Eugene Water & Electric Board Developer SeaWest/Tomen Energy Purchaser PacifiCorp/Eugene Water & Electric Board Location Carbon County WY Coordinates 41.652605°, -106.189914° 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":41.652605,"lon":-106.189914,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

382

Airborne spread of foot-and-mouth disease - model intercomparison  

SciTech Connect

Foot-and-mouth disease is a highly infectious vesicular disease of cloven-hoofed animals caused by foot-and-mouth disease virus. It spreads by direct contact between animals, by animal products (milk, meat and semen), by mechanical transfer on people or fomites and by the airborne route - with the relative importance of each mechanism depending on the particular outbreak characteristics. Over the years a number of workers have developed or adapted atmospheric dispersion models to assess the risk of foot-and-mouth disease virus spread through the air. Six of these models were compared at a workshop hosted by the Institute for Animal Health/Met Office during 2008. A number of key issues emerged from the workshop and subsequent modelling work: (1) in general all of the models predicted similar directions for 'at risk' livestock with much of the remaining differences strongly related to differences in the meteorological data used; (2) determination of an accurate sequence of events is highly important, especially if the meteorological conditions vary substantially during the virus emission period; and (3) differences in assumptions made about virus release, environmental fate, and subsequent infection can substantially modify the size and location of the downwind risk area. Close relationships have now been established between participants, which in the event of an outbreak of disease could be readily activated to supply advice or modelling support.

Gloster, J; Jones, A; Redington, A; Burgin, L; Sorensen, J H; Turner, R; Dillon, M; Hullinger, P; Simpson, M; Astrup, P; Garner, G; Stewart, P; D'Amours, R; Sellers, R; Paton, D

2008-09-04T23:59:59.000Z

383

Household solid waste characteristics and management in Chittagong, Bangladesh  

Science Conference Proceedings (OSTI)

Solid waste management (SWM) is a multidimensional challenge faced by urban authorities, especially in developing countries like Bangladesh. We investigated per capita waste generation by residents, its composition, and the households' attitudes towards waste management at Rahman Nagar Residential Area, Chittagong, Bangladesh. The study involved a structured questionnaire and encompassed 75 households from five different socioeconomic groups (SEGs): low (LSEG), lower middle (LMSEG), middle (MSEG), upper middle (UMSEG) and high (HSEG). Wastes, collected from all of the groups of households, were segregated and weighed. Waste generation was 1.3 kg/household/day and 0.25 kg/person/day. Household solid waste (HSW) was comprised of nine categories of wastes with vegetable/food waste being the largest component (62%). Vegetable/food waste generation increased from the HSEG (47%) to the LSEG (88%). By weight, 66% of the waste was compostable in nature. The generation of HSW was positively correlated with family size (r{sub xy} = 0.236, p management initiative. Of the respondents, an impressive 44% were willing to pay US$0.3 to US$0.4 per month to waste collectors and it is recommended that service charge be based on the volume of waste generated by households. Almost a quarter (22.7%) of the respondents preferred 12-1 pm as the time period for their waste to be collected. This study adequately shows that household solid waste can be converted from burden to resource through segregation at the source, since people are aware of their role in this direction provided a mechanism to assist them in this pursuit exists and the burden is distributed according to the amount of waste generated.

Sujauddin, Mohammad [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh)], E-mail: mohammad.sujauddin@gmail.com; Huda, S.M.S. [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh); Hoque, A.T.M. Rafiqul [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh); Laboratory of Ecology and Systematics (Plant Ecophysiology Section), Faculty of Science, Biology Division, University of the Ryukyus, Okinawa 903-0213 (Japan)

2008-07-01T23:59:59.000Z

384

LBNL-PG&E High Tech Building Initiative  

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

www.femp.energy.gov/training Federal Energy Management Program Labs, Data Centers, and High Tech Facilities Dale Sartor, Lawrence Berkeley National Laboratory 2 | FUPWG April 2012 High Tech Buildings are Energy Hogs Comparative Energy Costs High-Tech Facilities vs. Standard Buildings Annual Energy Costs ($/square foot) 3 | FEMP First Thursday Seminars femp.energy.gov/training FEMP First Thursday Seminars Energy Efficiency in Data Centers 4 | FUPWG April 2012 High voltage distribution High efficiency UPS systems Efficient redundancy strategies Use of DC power Better air management Move to liquid cooling Optimized chilled-water plants Use of free cooling Heat recovery Server innovation Virtualization High efficiency power supplies

385

Re-Assessing Green Building Performance: A Post Occupancy Evaluation of 22 GSA Buildings  

SciTech Connect

2nd report on the performance of GSA's sustainably designed buildings. The purpose of this study was to provide an overview of measured whole building performance as it compares to GSA and industry baselines. The PNNL research team found the data analysis illuminated strengths and weaknesses of individual buildings as well as the portfolio of buildings. This section includes summary data, observations that cross multiple performance metrics, discussion of lessons learned from this research, and opportunities for future research. The summary of annual data for each of the performance metrics is provided in Table 25. The data represent 1 year of measurements and are not associated with any specific design features or strategies. Where available, multiple years of data were examined and there were minimal significant differences between the years. Individually focused post occupancy evaluation (POEs) would allow for more detailed analysis of the buildings. Examining building performance over multiple years could potentially offer a useful diagnostic tool for identifying building operations that are in need of operational changes. Investigating what the connection is between the building performance and the design intent would offer potential design guidance and possible insight into building operation strategies. The 'aggregate operating cost' metric used in this study represents the costs that were available for developing a comparative industry baseline for office buildings. The costs include water utilities, energy utilities, general maintenance, grounds maintenance, waste and recycling, and janitorial costs. Three of the buildings that cost more than the baseline in Figure 45 have higher maintenance costs than the baseline, and one has higher energy costs. Given the volume of data collected and analyzed for this study, the inevitable request is for a simple answer with respect to sustainably designed building performance. As previously stated, compiling the individual building values into single metrics is not statistically valid given the small number of buildings, but it has been done to provide a cursory view of this portfolio of sustainably designed buildings. For all metrics except recycling cost per rentable square foot and CBE survey response rate, the averaged building performance was better than the baseline for the GSA buildings in this study.

Fowler, Kimberly M.; Rauch, Emily M.; Henderson, Jordan W.; Kora, Angela R.

2010-06-01T23:59:59.000Z

386

Commercial Buildings Integration Program  

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

2013 Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Vision Commercial buildings are constructed, operated, renovated and...

387

Commercial Buildings Characteristics 1992  

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

Buildings Characteristics 1992 Buildings Characteristics Overview Full Report Tables National and Census region estimates of the number of commercial buildings in the U.S. and...

388

48 the building is.  

U.S. Energy Information Administration (EIA)

48 the building is. ... Non-Domestic Building Energy Performance Asset Rating ... This certificate shows the energy rating of this building.

389

59 the building is.  

U.S. Energy Information Administration (EIA)

59 the building is. ... Non-Domestic Building Energy Performance Asset Rating ... This certificate shows the energy rating of this building.

390

83 the building is.  

U.S. Energy Information Administration (EIA)

83 the building is. ... Non-Domestic Building Energy Performance Asset Rating ... This certificate shows the energy rating of this building.

391

Building Technologies Office: News  

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

Technologies Office: News on Twitter Bookmark Building Technologies Office: News on Google Bookmark Building Technologies Office: News on Delicious Rank Building Technologies...

392

Building Technologies Office: Events  

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

Office: Events on Twitter Bookmark Building Technologies Office: Events on Google Bookmark Building Technologies Office: Events on Delicious Rank Building Technologies...

393

Building Technologies Office: About  

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

Technologies Office: About on Twitter Bookmark Building Technologies Office: About on Google Bookmark Building Technologies Office: About on Delicious Rank Building Technologies...

394

Building Technologies Office: Advancing Building Energy Codes  

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

Advancing Building Energy Codes Advancing Building Energy Codes The Building Technologies Office (BTO) supports greater adoption of residential and commercial building energy codes through collaborative efforts with local governments and industry groups, and by providing key tools and assistance for code development, adoption, and implementation. Through advancing building codes, we aim to improve building energy efficiency by 50%, and to help states achieve 90% compliance with their energy codes. 75% of U.S. Buildings will be New or Renovated by 2035, Building Codes will Ensure They Use Energy Wisely. Learn More 75% of U.S. Buildings will be New or Renovated by 2035; Building Codes will Ensure They Use Energy Wisely Learn More Energy Codes Ensure Efficiency in Buildings We offer guidance and technical resources to policy makers, compliance verification professionals, architects, engineers, contractors, and other stakeholders who depend on building energy codes.

395

Building Energy Codes OVERVIEW BUILDING TECHNOLOGIES PROGRAM  

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

Building Energy Codes OVERVIEW BUILDING TECHNOLOGIES PROGRAM Buildings account for almost 40% of the energy used in the United States and, as a direct result of that use, our...

396

Better Buildings Neighborhood Program: Better Buildings Partners...  

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

Better Buildings Partners Gather to Plan for the Future to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Partners Gather to Plan for the Future...

397

Buildings Energy Data Book: 3.3 Commercial Sector Expenditures  

Buildings Energy Data Book (EERE)

9 9 2003 Energy Expenditures per Square Foot of Commercial Floorspace and per Building, by Building Type ($2010) ($2010) Food Service 4.88 27.2 Mercantile 2.23 38.1 Food Sales 4.68 26.0 Education 1.43 36.6 Health Care 2.76 68.0 Service 1.39 9.1 Public Order and Safety 2.07 32.0 Warehouse and Storage 0.80 13.5 Office 2.01 29.8 Religious Worship 0.76 7.8 Public Assembly 1.73 24.6 Vacant 0.34 4.8 Lodging 1.72 61.5 Other 2.99 65.5 Note(s): Source(s): Mall buildings are no longer included in most CBECs tables; therefore, some data is not directly comparable to past CBECs. EIA, 2003 Commercial Buildings Energy Consumption and Expenditures: Consumption and Expenditures Tables, Oct. 2006, Table 4; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price deflators. Per Square Foot Per Building

398

Building Technologies Office: Better Buildings Alliance  

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

to power our country's commercial buildings. Unfortunately, much of this energy and money is wasted; a typical commercial building could save 20% on its energy bills simply by...

399

Building Technologies Office: Building Science Education  

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

for technical information on building products, materials, new technologies, business management, and housing systems. DOE's Residential Building Energy Codes - Resource for...

400

Building Technologies Office: Commercial Building Research and...  

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

Tax Incentives for Residential Buildings Tax Incentives for Commercial Buildings News Energy Department Invests in Heating, Cooling, and Lighting August 21, 2013 Energy Department...

Note: This page contains sample records for the topic "building foot household" 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

Building Technologies Office: Building America Market Partnerships  

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

Energy Efficiency and Renewable Energy EERE Home | Programs & Offices | Consumer Information Building Technologies Office Search Search Help Building Technologies Office HOME...

402

Building Technologies Office: Building Energy Software Tools...  

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

Links This directory provides information on 404 building software tools for evaluating energy efficiency, renewable energy, and sustainability in buildings. The energy tools...

403

Building Technologies Office: Building America Research Planning...  

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

Meeting on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Research Innovations Research Tools Building Science...

404

Building Technologies Office: Building Envelope Technologies...  

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

energy efficiency. Research in building envelope technologies includes: Foundations Insulation Roofing and Attics Walls Foundations Photo of the concrete foundation of a building...

405

Building Technologies Office: Contact the Building Technologies...  

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

Tax Incentives for Residential Buildings Tax Incentives for Commercial Buildings News Energy Department Invests in Heating, Cooling, and Lighting August 21, 2013 Energy Department...

406

Residential and commercial buildings data book. Second edition  

SciTech Connect

This Data Book updates and expands the previous Data Book originally published by the Department of Energy in October, 1984 (DOE/RL/01830/16). Energy-related information is provided under the following headings: Characteristics of Residential Buildings in the US; Characteristics of New Single Family Construction in the US; Characteristics of New Multi-Family Construction in the US; Household Appliances; Residential Sector Energy Consumption, Prices, and Expenditures; Characteristics of US Commercial Buildings; Commercial Buildings Energy Consumption, Prices, and Expenditures; Additional Buildings and Community Systems Information. This Data Book complements another Department of Energy document entitled ''Overview of Building Energy Use and Report of Analysis-1985'' October, 1985 (DOE/CE-0140). The Data Book provides supporting data and documentation to the report.

Crumb, L.W.; Bohn, A.A.

1986-09-01T23:59:59.000Z

407

Energy Consumption of Refrigerators in Ghana - Outcomes of Household  

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

Energy Consumption of Refrigerators in Ghana - Outcomes of Household Energy Consumption of Refrigerators in Ghana - Outcomes of Household Surveys Speaker(s): Essel Ben Hagan Date: July 12, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Robert Van Buskirk Galen Barbose As part of activities to develop refrigerator efficiency standards regulations in Ghana, a national survey on the energy consumption of refrigerators and refrigerator-freezers has been conducted. The survey covered 1000 households in urban, peri-urban and rural communities in various parts of the country. The survey found that, on average, refrigerators and refrigerator-freezers in Ghana use almost three times what is allowed by minimum efficiency standards in the U.S., and a few refrigerators had energy use at levels almost ten times the U.S.

408

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Completed Copy in PDF Format Completed Copy in PDF Format Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Household Expenditures Module Key Assumptions The historical input data used to develop the HEM version for the AEO2001 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2001 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and

409

Water Related Energy Use in Households and Cities - an Australian  

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

Water Related Energy Use in Households and Cities - an Australian Water Related Energy Use in Households and Cities - an Australian Perspective Speaker(s): Steven Kenway Date: May 12, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Anita Estner James McMahon This presentation covers the content of recent journal papers and reports focused on the water-energy nexus and the related theory of urban metabolism. This includes (i) a review of the water-energy nexus focused on cities (ii) quantifying water-related energy in cities (iii) modeling household water-related energy use including key factors, sensitivity and uncertainty analysis, and (iv) relevance and implications of the urban metabolism theoretical framework. Steven's work focuses on understanding the indirect connections between urban water management, energy use and

410

EIA - Gasoline and Diesel Fuel report: Household Vehicles Energy  

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

1 1 Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1991 December 1993 Release Next Update: August 1997. Based on the 1991 Residential Transportation Energy Consumption Survey conducted by the Energy Information Administration (EIA) - survey series has been discontinued after EIA's 1994 survey. Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses. This report, Household Vehicles Energy Consumption 1991, is based on data from the 1991 Residential Transportation Energy Consumption Survey (RTECS). Focusing on vehicle miles traveled (VMT) and energy enduse consumption and expenditures by households for personal transportation, the 1991 RTECS is

411

Table 2. Percent of Households with Vehicles, Selected Survey Years  

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

Percent of Households with Vehicles, Selected Survey Years " Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08566108 "Household Characteristics" "Census Region and Division" " Northeast",77.22222222,"NA",79.16666667,82.9015544,75.38461538,85.09615385 " New England",88.37209302,"NA",81.81818182,82.9787234,82,88.52459016 " Middle Atlantic ",73.72262774,"NA",78.37837838,82.31292517,74.30555556,83.67346939 " Midwest ",85.51401869,"NA",90.66666667,90.17094017,92.30769231,91.47286822 " East North Central",82,"NA",88.81987578,89.88095238,91.51515152,90.55555556

412

The welfare effects of raising household energy prices in Poland  

Science Conference Proceedings (OSTI)

We examine the welfare effects from increasing household energy prices in Poland. Subsidizing household energy prices, common in the transition economies, is shown to be highly regressive. The wealthy spend a larger portion of their income on energy and consume more energy in absolute terms. We therefore rule out the oft-used social welfare argument for delaying household energy price increases. Raising prices, while targeting relief to the poor through a social assistance program is the first-best response. However, if governments want to ease the adjustment, several options are open, including: in-kind transfers to the poor, vouchers, in-cash transfers, and lifeline pricing for electricity. Our simulations show that if raising prices to efficient levels is not politically feasible at present and social assistance targeting is sufficiently weak, it may be socially better to use lifeline pricing and a large price increase than an overall, but smaller, price increase.

Freund, C.L. [Columbia Univ., New York, NY (United States); Wallich, C.I. [World Bank, Washington, DC (United States)

1996-06-01T23:59:59.000Z

413

Modeling patterns of hot water use in households  

Science Conference Proceedings (OSTI)

This report presents a detailed model of hot water use patterns in individual household. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies. 21 refs., 3 figs., 10 tabs.

Lutz, J.D.; Liu, Xiaomin; McMahon, J.E. [and others

1996-11-01T23:59:59.000Z

414

Modeling patterns of hot water use in households  

SciTech Connect

This report presents a detailed model of hot water use patterns in individual households. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies.

Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

1996-01-01T23:59:59.000Z

415

Econometric analysis of energy use in urban households  

SciTech Connect

This article analyzes the pattern of energy carrier consumption in the residential sector of Bangalore, a major city in south India. A 1,000-household survey was used to study the type of energy carrier used by households in different income groups for different end-uses, such as cooking, water heating, and lighting. The dependence of income on the carrier utilized is established using a carrier dependence index. Using regression analysis, the index analyses the impact of different explanatory variables such as family income, family size, and price of energy carrier on consumption. The results show that income plays an important role not only in the selection of an energy carrier but also on the quantity of consumption per household. Also, a source-service matrix is prepared for Bangalore`s residential sector, which shows the disaggregation of energy consumption by the type of energy carrier and end-use.

Reddy, B.S. [Indira Gandhi Inst. of Development Research, Bombay (India)

1995-05-01T23:59:59.000Z

416

Energy Information Administration/Household Vehicles Energy Consumption 1994  

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

, , Energy Information Administration/Household Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related characteristics of highway vehicles available for personal use by members of U.S. households. The data were collected in the 1994 Residential Transportation Energy Consumption Survey, the final cycle in a series of nationwide energy consumption surveys conducted during the 1980's and 1990's by the Energy Information Administrations. Engines Became More Powerful . . . Percent Distribution of Total Residential Vehicle Fleet by Number of Cylinders, 1988 and 1994 Percent Distribution of Vehicle Fleet by Engine Size, 1988 and 1994 Percent Percent 4 cyl Less than 2.50 liters 6 cyl 2.50- 4.49 liters 8 cyl 4.50 liters or greater 20 20 40 40 Vehicle

417

Building Technologies Office: Energy Efficient Buildings Hub  

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

Efficient Buildings Hub Efficient Buildings Hub This model of a renovated historic building-Building 661-in Philadelphia will house the Energy Efficient Buildings Hub. The facility's renovation will serve as a best practices model for commercial building design, historic adaptive re-use, and energy efficiency innovation through continuous retrofit. The U.S. Department of Energy created the Energy Efficient Buildings Hub in Philadelphia, Pennsylvania to promote regional job creation and economic growth while also improving the energy efficiency of commercial buildings. Established in 2011, the Energy Efficient Buildings Hub seeks to demonstrate how innovating technologies can help building owners and operators can save money by adopting energy efficient technologies and techniques. The goal is to enable the nation to cut energy use in the commercial buildings sector by 20% by 2020.

418

Buildings Energy Data Book: 3.6 Office Building Markets and Companies  

Buildings Energy Data Book (EERE)

9 9 Energy Benchmarks for Newly Constructed Large Office Buildings, by Selected City and End-Use (thousand Btu per square foot) Miami 1A Houston 2A Phoenix 2B Atlanta 3A Los Angeles 3B Las Vegas 3B San Francisco 3C Baltimore 4A Albuquerque 4B Seattle 4C Chicago 5A Boulder 5B Minneapolis 6A Helena 6B Duluth 7 Fairbanks 8 Note(s): Source(s): 31.7 1.7 0.6 1.3 Commercial building energy benchmarks are based off of the current stock of commercial buildings and reflect 2004 ASHRAE 90.1 Climate Zones. They are designed to provide a consistent baseline to compare building performance in energy-use simulations. The benchmark building had 498,407 square feet and 12 floors. Benchmark interior lighting energy = 10.7 thousand Btu/SF. Interior equipment energy consumption = 15.94 thousand Btu/SF. DOE/EERE/BT, Commercial Building Benchmark Models, Version 1.3_5.0, Nov. 2010, accessed January 2012 at

419

Buildings Energy Data Book: 3.6 Office Building Markets and Companies  

Buildings Energy Data Book (EERE)

1 1 Energy Benchmarks for Newly Constructed Medium Office Buildings, by Selected City and End-Use (thousand Btu per square foot) Miami 1A Houston 2A Phoenix 2B Atlanta 3A Los Angeles 3B Las Vegas 3B San Francisco 3C Baltimore 4A Albuquerque 4B Seattle 4C Chicago 5A Boulder 5B Minneapolis 6A Helena 6B Duluth 7 Fairbanks 8 Note(s): Source(s): 38.6 0.9 0.8 1.1 Commercial building energy benchmarks are based off of the current stock of commercial buildings and reflect 2004 ASHRAE 90.1 Climate Zones. They are designed to provide a consistent baseline to compare building performance in energy-use simulations. The benchmark building had 53,608 square feet and 3 floors. Benchmark interior lighting energy = 10.7 thousand Btu/SF. Interior equipment energy consumption = 18.85 thousand Btu/SF. DOE/EERE/BT, Commercial Building Benchmark Models, Version 1.3_5.0, Nov. 2010, accessed January 2012 at

420

Building Green in Greensburg: Dwane Shank Motors GM Dealership  

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

Dwane Shank Motors Dwane Shank Motors GM Dealership The Dwane Shank GM Dealership was completely destroyed by the tornado, but within just a few days the Shank family was up and running and selling cars to residents who had lost their vehicle in the tornado. The dealership also hurried to build their new 8,300-square-foot building and designed it to maximize energy efficiency and green strategies. This was vital to telling the story and demonstrating the commitment of Greensburg, Kansas, to rebuild green. The new building features a tubular daylighting device and high sidelighting panels to maximize natural light in the sales room and service shop. ENERGY EFFICIENCY FEATURES * South-facing building orientation and windows maximize the use of natural light to reduce electrical lighting loads

Note: This page contains sample records for the topic "building foot household" 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

EERE's Building Technologies PowerPoint Presentation Template  

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

April 2008 April 2008 1 Application of Building Energy Consumption Data in Low-Energy Building Research Drury B. Crawley U. S. Department of Energy April 2008 2 Key Areas of Interest * Energy Use Intensity * What is energy use per floor area? * Floor-area weighting * What is average square foot vs. average building? * End use * What equipment is using the energy? * Climate zone distributions * How are buildings distributed in climate zones per ASHRAE Standard 169-2006? April 2008 3 * Mechanical equipment detail * What systems and component types are being used? * Schedules * How does occupancy and operation vary over time? * Utility pricing structures * What are demand, energy, and service charges really like? Key Areas of Interest (continued) April 2008 4 ASHRAE Standard 169 Climate Zones April 2008

422

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... of the World Trade Center Disaster. ... high rise buildings; building collapse; disasters; fire safety ... structures; thermal response; flameproofing; radiative ...

423

84 the building is.  

U.S. Energy Information Administration (EIA)

84 the building is. ... Non-Domestic Building Energy Performance Asset Rating ... Asset Rating. Author: BRE Subject: LCEA009449 Keywords:

424

87 the building is.  

U.S. Energy Information Administration (EIA)

87 the building is. ... Non-Domestic Building Energy Performance Asset Rating ... Asset Rating. Author: BRE Subject: STRO000469 Keywords:

425

80 the building is.  

U.S. Energy Information Administration (EIA)

80 the building is. ... Non-Domestic Building Energy Performance Asset Rating ... Asset Rating. Author: BRE Subject: BREC500027 Keywords:

426

75 the building is.  

U.S. Energy Information Administration (EIA)

75 the building is. ... Non-Domestic Building Energy Performance Asset Rating ... Asset Rating. Author: BRE Subject: BREC400003 Keywords:

427

75 the building is.  

U.S. Energy Information Administration (EIA)

75 the building is. ... Non-Domestic Building Energy Performance Asset Rating ... Asset Rating. Author: BRE Subject: BREC500027 Keywords:

428

97 the building is.  

U.S. Energy Information Administration (EIA)

97 the building is. ... Non-Domestic Building Energy Performance Asset Rating ... Asset Rating. Author: BRE Subject: BREC500027 Keywords:

429

78 the building is.  

U.S. Energy Information Administration (EIA)

78 the building is. ... Non-Domestic Building Energy Performance Asset Rating ... Asset Rating. Author: BRE Subject: BREC200470 Keywords:

430

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... Emergency Response Operations ... Safety Investigation of the World Trade Center Disaster. ... high rise buildings; building collapse; disasters; fire safety ...

431

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... of the World Trade Center Disaster. ... rise buildings; building collapse; disasters; fire safety ... structural analysis; structural damage; structural response ...

432

Safety of Building Occupants  

Science Conference Proceedings (OSTI)

... systems have evolved in response to specific ... behavior, needs of emergency responders, or ... behavior during building emergencies, the Building ...

2013-07-17T23:59:59.000Z

433

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... systems; surface temperature; deflection; insulation; thermometers; structural ... effects of fires in buildings, for use ... the analysis of building response to ...

434

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... building materials; thermal conductivity; databases; insulation; building technology; density; fibrous glass; guarded hot plate; heat flow; insulation ...

435

Household Energy Expenditure and Income Groups: Evidence from Great Britain  

E-Print Network (OSTI)

  and  0.024  for  district heating However, as income is not observed its effect cannot be analysed.  Wu et al. (2004) examine the demand for space heating in Armenia, Moldova, and  Kyrgyz  Republic  using  household  survey  data.  In  these  countries...  and in some regions incomes are not sufficient to  afford space heating from district heating systems making these systems unviable.  We  analyse  electricity,  gas  and  overall  energy  spending  for  a  large  sample  of  households  in  Great  Britain.  We  discern  inflection  points  and  discuss...

Jamasb, Tooraj; Meier, H

436

New York Household Travel Patterns: A Comparison Analysis  

SciTech Connect

In 1969, the U. S. Department of Transportation began collecting detailed data on personal travel to address various transportation planning issues. These issues range from assessing transportation investment programs to developing new technologies to alleviate congestion. This 1969 survey was the birth of the Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990 and 1995. Longer-distance travel was collected in 1977 and 1995. In 2001, the survey was renamed to the National Household Travel Survey (NHTS) and collected both daily and longer-distance trips in one survey. In addition to the number of sample households that the national NPTS/NHTS survey allotted to New York State (NYS), the state procured an additional sample of households in both the 1995 and 2001 surveys. In the 1995 survey, NYS procured an addition sample of more than 9,000 households, increasing the final NY NPTS sample size to a total of 11,004 households. Again in 2001, NYS procured 12,000 additional sample households, increasing the final New York NHTS sample size to a total of 13,423 households with usable data. These additional sample households allowed NYS to address transportation planning issues pertinent to geographic areas significantly smaller than for what the national NPTS and NHTS data are intended. Specifically, these larger sample sizes enable detailed analysis of twelve individual Metropolitan Planning Organizations (MPOs). Furthermore, they allowed NYS to address trends in travel behavior over time. In this report, travel data for the entire NYS were compared to those of the rest of the country with respect to personal travel behavior and key travel determinants. The influence of New York City (NYC) data on the comparisons of the state of New York to the rest of the country was also examined. Moreover, the analysis examined the relationship between population density and travel patterns, and the similarities and differences among New York MPOs. The 1995 and 2001 survey data make it possible to examine and identify travel trends over time. This report does not address, however, the causes of the differences and/or trends.

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL

2007-05-01T23:59:59.000Z

437

A Glance at China’s Household Consumption  

SciTech Connect

Known for its scale, China is the most populous country with the world’s third largest economy. In the context of rising living standards, a relatively lower share of household consumption in its GDP, a strong domestic market and globalization, China is witnessing an unavoidable increase in household consumption, related energy consumption and carbon emissions. Chinese policy decision makers and researchers are well aware of these challenges and keen to promote green lifestyles. China has developed a series of energy policies and programs, and launched a wide?range social marketing activities to promote energy conservation.

Shui, Bin

2009-10-22T23:59:59.000Z

438

Analysis of Energy Use in Building Services of the Industrial Sector in California: A Literature Review and a Preliminary Characterization  

E-Print Network (OSTI)

foot and in the cost per square foot. Table A.I3 Energyyear-square foot Cost per year-square foot Energy Cost andyear-square foot Cost per year-square foot When comparing

Akbari, H.

2008-01-01T23:59:59.000Z

439

Health Equity Building High Performance Health Systems  

E-Print Network (OSTI)

, Incubator shaker, Freeze dryer, Ice maker, 100 sq. foot cold room equipped with sink, Autoclave, Dishwasher

Oklahoma, University of

440

Jackson Park Hospital Green Building Medical Center  

SciTech Connect

Jackson Park Hospital completed the construction of a new Medical Office Building on its campus this spring. The new building construction has adopted the City of Chicago's recent focus on protecting the environment, and conserving energy and resources, with the introduction of green building codes. Located in a poor, inner city neighborhood on the South side of Chicago, Jackson Park Hospital has chosen green building strategies to help make the area a better place to live and work. The new green building houses the hospital's Family Medicine Residency Program and Specialty Medical Offices. The residency program has been vital in attracting new, young physicians to this medically underserved area. The new outpatient center will also help to allure needed medical providers to the community. The facility also has areas designated to women's health and community education. The Community Education Conference Room will provide learning opportunities to area residents. Emphasis will be placed on conserving resources and protecting our environment, as well as providing information on healthcare access and preventive medicine. The new Medical Office Building was constructed with numerous energy saving features. The exterior cladding of the building is an innovative, locally-manufactured precast concrete panel system with integral insulation that achieves an R-value in excess of building code requirements. The roof is a 'green roof' covered by native plantings, lessening the impact solar heat gain on the building, and reducing air conditioning requirements. The windows are low-E, tinted, and insulated to reduce cooling requirements in summer and heating requirements in winter. The main entrance has an air lock to prevent unconditioned air from entering the building and impacting interior air temperatures. Since much of the traffic in and out of the office building comes from the adjacent Jackson Park Hospital, a pedestrian bridge connects the two buildings, further decreasing the amount of unconditioned air that enters the office building. The HVAC system has an Energy Efficiency Rating 29% greater than required. No CFC based refrigerants were used in the HVAC system, thus reducing the emission of compounds that contribute to ozone depletion and global warming. In addition, interior light fixtures employ the latest energy-efficient lamp and ballast technology. Interior lighting throughout the building is operated by sensors that will automatically turn off lights inside a room when the room is unoccupied. The electrical traction elevators use less energy than typical elevators, and they are made of 95% recycled material. Further, locally manufactured products were used throughout, minimizing the amount of energy required to construct this building. The primary objective was to construct a 30,000 square foot medical office building on the Jackson Park Hospital campus that would comply with newly adopted City of Chicago green building codes focusing on protecting the environment and conserving energy and resources. The energy saving systems demonstrate a state of the-art whole-building approach to energy efficient design and construction. The energy efficiency and green aspects of the building contribute to the community by emphasizing the environmental and economic benefits of conserving resources. The building highlights the integration of Chicago's new green building codes into a poor, inner city neighborhood project and it is designed to attract medical providers and physicians to a medically underserved area.

William Dorsey; Nelson Vasquez

2010-03-31T23:59:59.000Z

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


441

Jackson Park Hospital Green Building Medical Center  

SciTech Connect

Jackson Park Hospital completed the construction of a new Medical Office Building on its campus this spring. The new building construction has adopted the City of Chicago's recent focus on protecting the environment, and conserving energy and resources, with the introduction of green building codes. Located in a poor, inner city neighborhood on the South side of Chicago, Jackson Park Hospital has chosen green building strategies to help make the area a better place to live and work. The new green building houses the hospital's Family Medicine Residency Program and Specialty Medical Offices. The residency program has been vital in attracting new, young physicians to this medically underserved area. The new outpatient center will also help to allure needed medical providers to the community. The facility also has areas designated to women's health and community education. The Community Education Conference Room will provide learning opportunities to area residents. Emphasis will be placed on conserving resources and protecting our environment, as well as providing information on healthcare access and preventive medicine. The new Medical Office Building was constructed with numerous energy saving features. The exterior cladding of the building is an innovative, locally-manufactured precast concrete panel system with integral insulation that achieves an R-value in excess of building code requirements. The roof is a 'green roof' covered by native plantings, lessening the impact solar heat gain on the building, and reducing air conditioning requirements. The windows are low-E, tinted, and insulated to reduce cooling requirements in summer and heating requirements in winter. The main entrance has an air lock to prevent unconditioned air from entering the building and impacting interior air temperatures. Since much of the traffic in and out of the office building comes from the adjacent Jackson Park Hospital, a pedestrian bridge connects the two buildings, further decreasing the amount of unconditioned air that enters the office building. The HVAC system has an Energy Efficiency Rating 29% greater than required. No CFC based refrigerants were used in the HVAC system, thus reducing the emission of compounds that contribute to ozone depletion and global warming. In addition, interior light fixtures employ the latest energy-efficient lamp and ballast technology. Interior lighting throughout the building is operated by sensors that will automatically turn off lights inside a room when the room is unoccupied. The electrical traction elevators use less energy than typical elevators, and they are made of 95% recycled material. Further, locally manufactured products were used throughout, minimizing the amount of energy required to construct this building. The primary objective was to construct a 30,000 square foot medical office building on the Jackson Park Hospital campus that would comply with newly adopted City of Chicago green building codes focusing on protecting the environment and conserving energy and resources. The energy saving systems demonstrate a state of the-art whole-building approach to energy efficient design and construction. The energy efficiency and green aspects of the building contribute to the community by emphasizing the environmental and economic benefits of conserving resources. The building highlights the integration of Chicago's new green building codes into a poor, inner city neighborhood project and it is designed to attract medical providers and physicians to a medically underserved area.

William Dorsey; Nelson Vasquez

2010-03-31T23:59:59.000Z

442

DOE/ex-oooos CATEGORICAL EXCLUSION HANFORD PATROL 200 EAST AREA BUILDING  

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

ex-oooos ex-oooos CATEGORICAL EXCLUSION HANFORD PATROL 200 EAST AREA BUILDING (PROJECT S-227) HANFORD SITE, RICHLAND, WASHINGTON PROPOSED ACTION The U.S. Department of Energy (DOE) proposes to construct an insulated concrete form office building in 200 East Area. The proposed facility provides operational support staff office space and parking for government and private vehicles. LOCATION OF ACTION The location of the proposed action is in the 200 East Area of the Hanford Site. The proposed new building will be directly east of the 2721-E Building. The parking lot will be located south of the proposed new building and south of the 2727-E Building. DESCRIPTION OF PROPOSED ACTION The proposed action will construct a 12,000 square foot insulated concrete form building to

443

Racial and demographic differences in household travel and fuel purchase behavior  

Science Conference Proceedings (OSTI)

Monthly fuel purchase logs from the Residential Energy Consumption Survey's Household Transportation Panel (TP) were analyzed to determine the relationship between various household characteristics and purchase frequency, tank inventories, vehicle-miles traveled, and fuel expenditures. Multiple classification analysis (MCA) was used to relate observed differences in dependent variables to such index-type household characteristics as income and residence location, and sex, race and age of household head. Because it isolates the net effect of each parameter, after accounting for the effects of all other parameters, MCA is particularly appropriate for this type of analysis. Results reveal clear differences in travel and fuel purchase behavior for four distinct groups of vehicle-owning households. Black households tend to own far fewer vehicles with lower fuel economy, to use them more intensively, to purchase fuel more frequently, and to maintain lower fuel inventories than white households. Similarly, poor households own fewer vehicles with lower fuel economy, but they drive them less intensively, purchase fuel more frequently, and maintain lower fuel inventories than nonpoor households. Elderly households also own fewer vehicles with lower fuel economy. But since they drive them much less intensively, their fuel purchases are much less frequent and their fuel inventories are higher than nonelderly households. Female-headed households also own fewer vehicles but with somewhat higher fuel economy. They drive them less intensively, maintain higher fuel inventories, and purchase fuel less frequently than male-headed households. 13 refs., 8 tabs.

Gur, Y.; Millar, M.

1987-01-01T23:59:59.000Z

444

Building Technologies Office: Webinars  

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

Webinars Webinars Printable Version Share this resource Send a link to Building Technologies Office: Webinars to someone by E-mail Share Building Technologies Office: Webinars on Facebook Tweet about Building Technologies Office: Webinars on Twitter Bookmark Building Technologies Office: Webinars on Google Bookmark Building Technologies Office: Webinars on Delicious Rank Building Technologies Office: Webinars on Digg Find More places to share Building Technologies Office: Webinars on AddThis.com... Popular Links Success Stories Previous Next Lighten Energy Loads with System Design. Warming Up to Pump Heat. Cut Refrigerator Energy Use to Save Money. Tools EnergyPlus Whole Building Simulation Program Building Energy Software Tools Directory High Performance Buildings Database

445

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book (EERE)

2 2 Year Built (1) Prior to 1950 74.5 114.9 46.8 24% 1950 to 1969 66.0 96.6 38.1 23% 1970 to 1979 59.4 83.4 33.5 15% 1980 to 1989 51.9 81.4 32.3 14% 1990 to 1999 48.2 94.4 33.7 16% 2000 to 2005 44.7 94.7 34.3 8% Average 58.7 95.0 40.0 Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008. 2005 Residential Delivered Energy Consumption Intensities, by Vintage Per Square Per Household Per Household

446

EvoNILM: evolutionary appliance detection for miscellaneous household appliances  

Science Conference Proceedings (OSTI)

To improve the energy awareness of consumers, it is necessary to provide them with information about their energy demand, not just on the household level. Non-intrusive load monitoring (NILM) gives the consumer the opportunity to disaggregate their consumed ... Keywords: evolutionary algorithm, load disaggregation, non-intrusive load monitoring

Dominik Egarter; Wilfried Elmenreich

2013-07-01T23:59:59.000Z

447

Modelling the Energy Demand of Households in a Combined  

E-Print Network (OSTI)

. Emissions from passenger transport, households'electricity and heat consumption are growing rapidly despite demand analysis for electricity (e.g. Larsen and Nesbakken, 2004; Holtedahl and Joutz, 2004; Hondroyiannis, 2004) and passenger cars (Meyer et al., 2007). Some recent studies cover the whole residential

Steininger, Karl W.

448

Fuelwood Use by Rural Households in the Brazilian Atlantic Forest  

E-Print Network (OSTI)

Fuelwood is an important source of domestic energy in rural regions of Brazil. In the Zona da Mata of Minas Gerais, native species from the Atlantic Forest are an important source of fuelwood, supplemented by wood from eucalyptus and coffee plantations. The use of native species is complicated by their increasing scarcity and the recent enforcement of forest policies that prohibit the felling of even dead natives trees without a permit. In this study, the factors contributing to the use of fuelwood in this region, despite the simultaneous use of liquid petroleum gas in most households, are explored by examining fuelwood use patterns in four small rural communities in the Zona da Mata Mineira using household surveys and semi-structured interviews. Two hypotheses were tested using a Jacknife regression. The first hypothesis, based on the energy ladder model, tested the predictive power of socioeconomic status in relation to fuelwood use. Two dependent variables were used to represent the importance of fuelwood to a household: the amount of time a household spent collecting fuelwood (Effort) and the number of purposes a household used fuelwood for (Class of Fuelwood Use). Socioeconomic status did explain a statistically significant percentage of the variance in Effort, but not in Class of Fuelwood Use. The second hypothesis tested for a moderating effect of the availability of fuelwood on the relationship between the socioeconomic status of a household and the dependent variables. The interaction between access to fuelwood and socioeconomic status was shown to explain a significant percentage of the variance in Effort, thereby indicating that the effect of socioeconomic status on time spent collecting fuelwood depends on access to fuelwood. However, there was no statistically significant interaction found between Class of Fuelwood Use and fuelwood availability. The Atlantic Forest Policy was found to have little influence on domestic energy decisions made by surveyed households. Few research subjects had a good understanding of the basic tenets of this policy and the Forest Police do not have adequate resources to enforce the policy at this level.

Wilcox-Moore, Kellie J.

2010-05-01T23:59:59.000Z

449

Federal Energy Management Program technical assistance case study: The Forrestal Building relighting project saves $400K annually  

SciTech Connect

The US Department of Energy (DOE) believes energy efficiency begins at home -- in this case the James A. Forrestal Building in Washington, D.C. Since 1969, the 1.7 million-square-foot Forrestal Building has served as DOE Headquarters. In 1989, a team of in-house energy specialists began searching for opportunities to make the Forrestal Building more energy efficient. The team, on which personnel from the Federal Energy Management Program (FEMP) served, identified lighting as an area in which energy use could be reduced substantially. A monitoring program showed that the building`s more than 34,000 1-foot by 4-foot fluorescent lighting fixtures were responsible for 33% of the building`s total annual electric energy use, which represents more than 9 million kilowatt-hours (kWh) per year. In initiating the relighting program, DOE hoped to achieve these broad goals: Reduce energy use and utility bills, and improve lighting quality by distributing the light more uniformly. Funding was also an important consideration. DOE sought financing alternatives through which the lighting retrofit is paid for without using government-appropriated capital funds. DOE cut lighting costs more than 50% and paid for the project with the money saved on energy bills.

1997-01-01T23:59:59.000Z

450

Transforming Commercial Building Operations  

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

Transforming Commercial Building Operations Transforming Commercial Building Operations Transforming Commercial Building Operations Ron Underhill Pacific Northwest National Laboratory ronald.underhill@pnnl.gov (509)375-9765 April 4, 2013 2 | Building Technologies Office eere.energy.gov * Most buildings are not commissioned (Cx) before occupancy, including HVAC and lighting systems * Buildings often are poorly operated and maintained leading to significant energy waste of 5 to 20%, even when they have building automation systems (BASs)

451

Transforming Commercial Building Operations  

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

Transforming Commercial Building Operations Transforming Commercial Building Operations Transforming Commercial Building Operations Ron Underhill Pacific Northwest National Laboratory ronald.underhill@pnnl.gov (509)375-9765 April 4, 2013 2 | Building Technologies Office eere.energy.gov * Most buildings are not commissioned (Cx) before occupancy, including HVAC and lighting systems * Buildings often are poorly operated and maintained leading to significant energy waste of 5 to 20%, even when they have building automation systems (BASs)

452

Buildings Energy Data Book: 4.1 Federal Buildings Energy Consumption  

Buildings Energy Data Book (EERE)

3 3 Federal Building Delivered Energy Consumption Intensities, by Year (1) Year Year FY 1985 123.0 FY 1997 111.9 FY 1986 131.3 FY 1998 107.7 FY 1987 136.9 FY 1999 106.7 FY 1988 136.3 FY 2000 104.8 FY 1989 132.6 FY 2001 105.9 FY 1990 128.6 FY 2002 104.6 FY 1991 122.9 FY 2003 105.2 FY 1992 125.5 FY 2004 104.9 FY 1993 122.3 FY 2005 98.2 FY 1994 120.2 FY 2006 (2) 113.9 FY 1995 117.3 FY 2007 (3) 112.9 FY 1996 115.0 FY 2015 (4) 89.5 Note(s): Source(s): Consumption per Gross Consumption per Gross Square Foot (10^3 Btu/SF) Square Foot (10^3 Btu/SF) 1) See Table 4.3.1 for floorspace. 2) Increase due to change in categorization of Federal buildings. 3) Adjusted for renewable energy purchases and source savings. 4) Executive Order 13423 goal. DOE/FEMP, Annual Report to Congress on FEMP FY 2007, Jan. 2010, Table 1, p. 13; DOE/FEMP, Annual Report to Congress on FEMP, Sept. 2006, Table

453

Using unlabeled Wi-Fi scan data to discover occupancy patterns of private households  

Science Conference Proceedings (OSTI)

This poster presents the homeset algorithm, a lightweight approach to estimate occupancy schedules of private households. The algorithm relies on the mobile phones of households' occupants to collect Wi-Fi scans. The scans are then used to determine ...

Wilhelm Kleiminger, Christian Beckel, Anind Dey, Silvia Santini

2013-11-01T23:59:59.000Z

454

California’s Immigrant Households and Public-Assistance Participation in the 1990s - Policy Brief  

E-Print Network (OSTI)

with Dependent Children (AFDC)/California Work Opportunitystate households participating in AFDC/ CalWORKs pro- grams.of noncitizen households received AFDC, compared to 4.5% of

2002-01-01T23:59:59.000Z

455

Table 1. Total Energy Consumption in U.S. Households by Origin ...  

U.S. Energy Information Administration (EIA)

Wood (million cords) ..... 21.4 19.8 0.8 0.6 0.3 19.3 Million Btu per Household3 Total Btu Consumption per Household, Fuels Used: Electricity Primary ...

456

An Analysis of the Price Elasticity of Demand for Household Appliances  

E-Print Network (OSTI)

Customers’ Choice of Appliance Efficiency Level: CombiningThe Effect of Income on Appliances in U.S. Households. U.S.Household’s Choice of Appliance Efficiency Level. Review of

Dale, Larry

2008-01-01T23:59:59.000Z

457

Household energy and consumption and expenditures, 1990. [Contains Division, Census Region, and Climate Zone maps  

Science Conference Proceedings (OSTI)

The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

Not Available

1993-03-02T23:59:59.000Z

458

Building America  

Science Conference Proceedings (OSTI)

Builders generally use a 'spec and purchase' business management system (BMS) when implementing energy efficiency. A BMS is the overall operational and organizational systems and strategies that a builder uses to set up and run its company. This type of BMS treats building performance as a simple technology swap (e.g. a tank water heater to a tankless water heater) and typically compartmentalizes energy efficiency within one or two groups in the organization (e.g. purchasing and construction). While certain tools, such as details, checklists, and scopes of work, can assist builders in managing the quality of the construction of higher performance homes, they do nothing to address the underlying operational strategies and issues related to change management that builders face when they make high performance homes a core part of their mission. To achieve the systems integration necessary for attaining 40% + levels of energy efficiency, while capturing the cost tradeoffs, builders must use a 'systems approach' BMS, rather than a 'spec and purchase' BMS. The following attributes are inherent in a systems approach BMS; they are also generally seen in quality management systems (QMS), such as the National Housing Quality Certification program: Cultural and corporate alignment, Clear intent for quality and performance, Increased collaboration across internal and external teams, Better communication practices and systems, Disciplined approach to quality control, Measurement and verification of performance, Continuous feedback and improvement, and Whole house integrated design and specification.

Brad Oberg

2010-12-31T23:59:59.000Z

459

Commercial Buildings Integration Program  

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

Buildings Buildings Integration Program Arah Schuur Program Manager arah.schuur@ee.doe.gov April 2, 2013 Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Vision Commercial buildings are constructed, operated, renovated and transacted with energy performance in mind and net zero ready commercial buildings are common and cost-effective. Commercial Buildings Integration Program Mission Accelerate voluntary uptake of significant energy performance improvements in existing and new commercial buildings. 3 | Building Technologies Office eere.energy.gov BTO Goals: BTO supports the development and deployment of technologies and systems to reduce

460

Home | Better Buildings Workforce  

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

Better Buildings Logo Better Buildings Logo EERE Home | Programs & Offices | Consumer Information Search form Search Search Better Buildings Logo Better Buildings Workforce Home Framework Resources Projects Participate Home Framework Resources Projects Better Buildings Workforce Guidelines Buildings Re-tuning Training ANSI Energy Efficiency Standards Collaborative Energy Performance-Based Acquisition Training Participate For a detailed project overview, download the Better Buildings Workforce Guidelines Fact Sheet Home The Better Buildings Initiative is a broad, multi-strategy initiative to make commercial and industrial buildings 20% more energy efficient over the next 10 years. DOE is currently pursuing strategies across five pillars to catalyze change and accelerate private sector investment in energy

Note: This page contains sample records for the topic "building foot household" 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

Single round blasting of 10-foot diameter X 65-foot depth emplacement collar holes at the Nevada Test Site  

SciTech Connect

Since 1961 REECo has drilled and mined emplacement holes for testing nuclear devices underground. An oversize drill pattern was the primary method used. The application of drilling the final size configuration hole to a 65-foot depth and mucking with the Auger Rig was then investigated. Numerous drilling patterns, loading and time schemes and methods were tried. Some were successful. Most were expensive. All concerned looked for a better and less costly method for this collar casing installation. Poor fragmentation in the collar holes prior to Atlas Powder becoming involved resulted in slow hole cleanout and excessive rig maintenance with associated excessive costs. One of the more successful shots was a 120-inch diameter {times} 60-foot deep hole that was drilled using 3 1/2-inch holes and then casing them to a 2-inch diameter using PVC pipe. A 30-inch burn hole was drilled to total depth. Twenty-seven 3 1/2-inch holes were drilled and then loaded with 1 1/2-inch powder boosted with Detaprimes and wired using all 0 delay caps. This shot smooth walled and the blast holes were visible all the way from top to bottom. Fragmentation was excellent and the Auger Rig mucked out quickly. The 28-inch bit used for the burn hole was a high cost item in this test and other methods continued to be investigated.

1991-01-01T23:59:59.000Z

462

Buildings without energy bills  

Science Conference Proceedings (OSTI)

In European Union member states, by 31 december 2020, all new buildings shall be nearly zero-energy consumption building. For new buildings occupied and owned by public authorities this shall comply by 31 december 2018. The buildings sectors represents ... Keywords: energy efficiency, low energy buildings, passive houses design, sustainable development

Ruxandra Crutescu

2011-04-01T23:59:59.000Z

463

1999 Commercial Buildings Characteristics--Building Size  

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

Size of Buildings Size of Buildings Size of Buildings The 1999 CBECS estimated that 2,348,000 commercial buildings, or just over half (50.4 percent) of total buildings, were found in the smallest building size category (1,001 to 5,000 square feet) (Figure 1). Only 7,000 buildings occupied the largest size category (over 500,000 square feet). Detailed tables Figure 1. Distribution of Buildings by Size of Building, 1999 Figure 1. Distribution of Buildings by Size of Building, 1999. If having trouble viewing this page, please contact the National Energy Information Center at (202) 586-8800. Energy Information Administration Commercial Buildings Energy Consumption Survey The middle size categories (10,001 to 100,000 square feet) had relatively more floorspace per category than smaller or larger size categories (Figure 2). The greatest amount of floorspace, about 11,153,000 square feet (or 17 percent of total floorspace) was found in the 10,001 to 25,000 square feet category. Figure 2. Distribution of Floorspace by Size of Building, 1999

464

Building Technologies Office: Subscribe to Building America Updates  

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

Subscribe to Building Subscribe to Building America Updates to someone by E-mail Share Building Technologies Office: Subscribe to Building America Updates on Facebook Tweet about Building Technologies Office: Subscribe to Building America Updates on Twitter Bookmark Building Technologies Office: Subscribe to Building America Updates on Google Bookmark Building Technologies Office: Subscribe to Building America Updates on Delicious Rank Building Technologies Office: Subscribe to Building America Updates on Digg Find More places to share Building Technologies Office: Subscribe to Building America Updates on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Research Innovations Research Tools Building Science Education Climate-Specific Guidance

465

Comparison of Building Energy Modeling Programs: Building Loads  

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

Comparison of Building Energy Modeling Programs: Building Loads Title Comparison of Building Energy Modeling Programs: Building Loads Publication Type Report LBNL Report Number...

466

A N OTE S BUILDING TECHNOLOGIES PROGRAM Building Energy Codes...  

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

A N OTE S BUILDING TECHNOLOGIES PROGRAM Building Energy Codes Resource Guide: COMMERCIAL BUILDINGS for Architects Prepared by: Building Energy Codes Program (BECP) and the American...

467

Energy Efficiency Standards for Federal Buildings | Building...  

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

Regulations Site Map Printable Version Development Adoption Compliance Regulations Determinations Federal Buildings Manufactured Housing Resource Center Energy Efficiency Standards...

468

Office Buildings - Full Report  

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

Office Buildings - Full Report Office Buildings - Full Report file:///C|/mydocs/CBECS2003/PBA%20report/office%20report/office_pdf.html[9/24/2010 3:33:25 PM] Although no one building type dominates the commercial buildings sector, office buildings are the most common and account for more than 800,000 buildings or 17 percent of total commercial buildings. Offices comprised more than 12 billion square feet of floorspace, 17 percent of total commercial floorspace, the most of any building type. Types of Office Buildings The 2003 CBECS Detailed Tables present data for office buildings along with other principal building activities (see Detailed Tables B13 and B14, for example). Since office buildings comprise a wide range of office-related activities, survey respondents were presented with a

469

Thick Buildings [Standards  

E-Print Network (OSTI)

on Occupant Behavior in Buildings, New Directions forSacramento, is a thin building that surrounds an atrium. (Performance of a Green Building," Urban UndQune 1992): 23-

Coffin, Christie Johnson

1995-01-01T23:59:59.000Z

470

Sustainability Assessment of the Robert E. Johnson State Office Building, Final Report, Revised April 2002  

E-Print Network (OSTI)

The Robert E. Johnson State (REJ) Office building is a 5-story, 303,389 square foot office building for state legislative support staff, including Legislative House Committees, Legislative Council, State Auditor, the Legislative Reference Library, the Senate Print Shop, and the Sunset Commission. Overall, the building is divided into three sections with divisions created by a ground-level breezeway and vehicular access area, which are covered by the upper floors above these areas. The building’s northern facade is approximately 14 degrees west of north, exposing it to direct sunlight during the late afternoon hours in the winter. It is also important to note that the building contains over 50% glazing in the façade consisting of two types of energy efficient, low-E glazing. Deciduous trees shade a large portion of the south façade up to the 3rd level.

Sylvester, K. E.; Song, S.; Haberl, J. S.; Turner, W. D.

2002-01-01T23:59:59.000Z

471

Foote Creek Rim II Wind Farm | Open Energy Information  

Open Energy Info (EERE)

II Wind Farm II Wind Farm Facility Foote Creek Rim II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Caithness Developer SeaWest Energy Purchaser Bonneville Power Admin Location Carbon County WY Coordinates 41.663881°, -106.186001° 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":41.663881,"lon":-106.186001,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

472

Foote Creek Rim IV Wind Farm | Open Energy Information  

Open Energy Info (EERE)

IV Wind Farm IV Wind Farm Facility Foote Creek Rim IV Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Caithness Developer SeaWest Energy Purchaser Bonneville Power Admin Location Carbon County WY Coordinates 41.626456°, -106.202095° 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":41.626456,"lon":-106.202095,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

473

Foote Creek Rim III Wind Farm | Open Energy Information  

Open Energy Info (EERE)

III Wind Farm III Wind Farm Facility Foote Creek Rim III Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Caithness Developer SeaWestM&N Wind Power Energy Purchaser Xcel Energy Location Carbon County WY Coordinates 41.643488°, -106.198876° 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":41.643488,"lon":-106.198876,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

474

Building Green in Greensburg: Kiowa County Memorial Hospital  

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

Memorial Hospital The original Kiowa County Hospital was destroyed in the May 2007 tornado. The new hospital's design team took one of the most energy- intensive building types and designed a first-of-its kind energy-efficient hospital, while still meeting functional and safety requirements. Completed in March 2010, the hospital is built to achieve the U.S. Green Building Council's Leadership in Energy and Environmental Design (LEED ® ) Platinum designation. The 50,000-square-foot building includes 15 acute-care beds, rural health and specialty clinics, an emergency department with two trauma rooms, physical/occupational therapy and radiology departments, a laboratory, and other support areas. The new hospital is projected to be 32% more energy efficient

475

Building Removal Ongoing at DOE's Paducah Site | Department of Energy  

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

Building Removal Ongoing at DOE's Paducah Site Building Removal Ongoing at DOE's Paducah Site Building Removal Ongoing at DOE's Paducah Site August 23, 2012 - 12:00pm Addthis Media Contact Buz Smith Robert.Smith@lex.doe.gov 270-441-6821 PADUCAH, KY - Work is ongoing at the Paducah Gaseous Diffusion Plant (PGDP) to raze a 65,000-square-foot facility known as the C-340 Metals Plant, which was used to make uranium metal during the Cold War. Department of Energy (DOE) cleanup contractor LATA Environmental Services of Kentucky began removing more than 1,500 panels of cement-asbestos siding from the Metals Plant complex Wednesday in anticipation of New Jersey-based LVI Services starting demolition Sept. 19. Demolition work is projected to last through the end of calendar 2012. "This is an important milestone because the C-340 Metals Plant is the

476

Household Vehicles Energy Use: Latest Data & Trends  

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

B B : E S T I M AT I O N M E T H O D O L O G I E S APPENDIX B A P P E N D I X B ESTIMATION METHODOLOGIES INTRODUCTION The National Household Travel Survey (NHTS) is the nation's inventory of local and long distance travel, according to the U.S. Department of Transportation. Between April 2001 and May 2002, roughly 26 thousand households 41 were interviewed about their travel, based on the use of over 53 thousand vehicles. Using confidential data collected during those interviews, coupled with EIA's retail fuel prices, external data sources of test 42 fuel economy, and internal procedures for modifying test fuel economy to on-road, in-use fuel economy, EIA has extended this inventory to include the energy used for travel, thereby continuing a data series that was discontinued by EIA in 1994. This appendix presents the methods used for each eligible sampled

477

Household Vehicles Energy Use: Latest Data & Trends  

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

This page left blank. This page left blank. E N E R G Y O V E RV I E W ENERGY INFORMATION ADMINISTRATION/HOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS ENERGY OVERVIEW E N E R G Y O V E RV I E W INTRODUCTION Author's Note Estimates of gallons of fuel consumed, type of fuel used, price paid for fuel, and fuel economy are based on data imputed by EIA, using vehicle characteristics and vehicle-miles traveled data collected during the interview process for the 2001 National Household Travel Survey (NHTS). Rather than obtaining that information directly from fuel purchase diaries, EIA exploited its experience and expertise with modeling techniques for transportation studies, filling missing and uncollected data with information reported to other federal agencies, as described in Appendices

478

Household Vehicles Energy Use: Latest Data & Trends  

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

E E N E R G Y O V E RV I E W ENERGY INFORMATION ADMINISTRATION/HOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS ENERGY OVERVIEW E N E R G Y O V E RV I E W INTRODUCTION Author's Note Estimates of gallons of fuel consumed, type of fuel used, price paid for fuel, and fuel economy are based on data imputed by EIA, using vehicle characteristics and vehicle-miles traveled data collected during the interview process for the 2001 National Household Travel Survey (NHTS). Rather than obtaining that information directly from fuel purchase diaries, EIA exploited its experience and expertise with modeling techniques for transportation studies, filling missing and uncollected data with information reported to other federal agencies, as described in Appendices B and C of this report.

479

Building Technologies Office: Resources  

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

Resources to someone by Resources to someone by E-mail Share Building Technologies Office: Resources on Facebook Tweet about Building Technologies Office: Resources on Twitter Bookmark Building Technologies Office: Resources on Google Bookmark Building Technologies Office: Resources on Delicious Rank Building Technologies Office: Resources on Digg Find More places to share Building Technologies Office: Resources on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Partner Log In Become a Partner Criteria Partner Locator Resources Housing Innovation Awards Events Guidelines for Home Energy Professionals Technology Research, Standards, & Codes

480

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... National Planning for Construction and Building R&D. National Planning for Construction and Building R&D. (576 K) Wright ...

Note: This page contains sample records for the topic "building foot household" 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

Better Buildings Alliance  

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

Kristen Taddonio DOEEEREBTOCommercial Program Kristen.Taddonio@ee.doe.gov April 2, 2013 Better Buildings Alliance BTO Program Peer Review 2 | Building Technologies Office...

482

Buildings Energy Efficiency  

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

Office building windows, clean room, infrared thermograph, data graphic Buildings Energy Efficiency Researchers, in close cooperation with industry, develop technologies for...

483

Building Technologies Office: Events  

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

Webinars Building America Residential Research Better Buildings Alliance Solid-State Lighting Events ICMA 99th Annual Conference September 22-25, 2013 Register Now for the 2013...

484

Food Sales Buildings  

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

buildings, though they comprised only 1 percent of commercial floorspace. Their total energy intensity was the third highest of all the building types, and their electricity...

485

Public Assembly Buildings  

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

buildings. Since they comprised 7 percent of commercial floorspace, this means that their energy intensity was just slightly below the commercial average. Public assembly buildings...

486

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... of this building in two challenging North American climates. ... building in its native climate were performed ... were formulated-a single-zone model with ...

487

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... These estimates, and other analyses of energy consumption in office buildings, are based on building energy analysis programs such as DOE-2. ...

488

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... keynote address entitled "Green Buildings - The White House Perspective ... in the areas of building materials, lighting, and indoor air ... Selected Papers. ...

489

Better Buildings Neighborhood Program  

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

Leading to Lessons Learned 2 | Building Technologies Office eere.energy.gov Purpose & Objectives - Program Problem Statement: Buildings consume 40% of energy in the United...

490

Building Technologies Program - Energy  

2 Background And Outline Background Building Technology Program (BTP) focused on a goal of zero-net energy homes (2020) and commercial buildings (2025)

491

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... will build an instrument that will provide the building industry with better measurement capabilities to judge the effectiveness of thermal insulation ...

492

Building Technologies Office Overview  

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

Roland Risser Roland Risser Director, Building Technologies Office Building Technologies Office Energy Efficiency Starts Here. 2 Building Technologies Office Integrated Approach: Improving Building Performance Research & Development Developing High Impact Technologies Standards & Codes Locking in the Savings Market Stimulation Accelerating Tech-to- Market 3 Building Technologies Office Goal: Reduce building energy use by 50% (compared to a 2010 baseline) 4 Building Technologies Office Working to Overcome Challenges Information Access * Develop building performance tools, techniques, and success stories, such as case studies * Form market partnerships and programs to share best practices * Solution Centers * Certify the workforce to ensure quality work

493

Elasticities of Electricity Demand in Urban Indian Households  

E-Print Network (OSTI)

Energy demand, and in particular electricity demand in India has been growing at a very rapid rate over the last decade. Given, current trends in population growth, industrialisation, urbanisation, modernisation and income growth, electricity consumption is expected to increase substantially in the coming decades as well. Tariff reforms could play a potentially important role as a demand side management tool in India. However, the effects of any price revisions on consumption will depend on the price elasticity of demand for electricity. In the past, electricity demand studies for India published in international journals have been based on aggregate macro data at the country or sub-national / state level. In this paper, price and income elasticities of electricity demand in the residential sector of all urban areas of India are estimated for the first time using disaggregate level survey data for over thirty thousand households. Three electricity demand functions have been estimated using monthly data for the following seasons: winter, monsoon and summer. The results show electricity demand is income and price inelastic in all three seasons, and that household, demographic and geographical variables are important in determining electricity demand, something that is not possible to determine using aggregate macro models alone. Key Words Residential electricity demand, price elasticity, income elasticity Short Title Electricity demand in Indian households Acknowledgements: The authors would like to gratefully acknowledge the National Sample Survey Organisation, Department of Statistics of the Government of India, for making available to us the unit level, household survey data. We would also like to thank Prof. Daniel Spreng for his support of our research. 2 1.

Shonali Pachauri

2002-01-01T23:59:59.000Z

494

Energy conservation for household refrigerators and water heaters  

Science Conference Proceedings (OSTI)

An energy conservation arrangement for household refrigerators and water heaters, in which the source of cold water to the hot water heater is divided and part is caused to flow through and be warmed in the condenser of the refrigerator. The warmed water is then further heated in the oil cooling loop of the refrigerator compressor, and proceeds then to the top of the hot water tank.

Speicher, T. L.

1984-12-11T23:59:59.000Z

495

Solar buildings. Overview: The Solar Buildings Program  

DOE Green Energy (OSTI)

Buildings account for more than one third of the energy used in the United States each year, consuming vast amounts of electricity, natural gas, and fuel oil. Given this level of consumption, the buildings sector is rife with opportunity for alternative energy technologies. The US Department of Energy`s Solar Buildings Program was established to take advantage of this opportunity. The Solar Buildings Program is engaged in research, development, and deployment on solar thermal technologies, which use solar energy to produce heat. The Program focuses on technologies that have the potential to produce economically competitive energy for the buildings sector.

Not Available

1998-04-01T23:59:59.000Z

496

Sizing Wind/Photovoltaic Hybrids for Households in Inner Mongolia  

DOE Green Energy (OSTI)

Approximately 140,000 wind turbines currently provide electricity to about one-third of the non-grid-connected households in Inner Mongolia. However, these households often suffer from a lack of power during the low-wind summer months. This report describes an analysis of hybrid wind/photovoltaic (PV) systems for such households. The sizing of the major components is based on a subjective trade-off between the cost of the system and the percent unmet load, as determined by the Hybrid 2 software in conjunction with a simplified time-series model. Actual resource data (wind speed and solar radiation) from the region are processed so as to best represent the scenarios of interest. Small wind turbines of both Chinese and U.S. manufacture are considered in the designs. The results indicate that combinations of wind and PV are more cost-effective than either one alone, and that the relative amount of PV in the design increases as the acceptable unmet load decreases and as the average wind sp eed decreases.

Barley, C. D.; Lew, D. J.; Flowers, L. T.

1997-06-01T23:59:59.000Z

497

Materials Science & Technology Building  

E-Print Network (OSTI)

is transforming the national laboratory. In the summer of 2007, work began on the nearly 200,000-square- foot security scientific capabilities, equipment, and staff displaced from accelerated cleanup of the Hanford enables PNNL scientists and engineers to create multidisciplinary teams that crosscut scientific platforms

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Building Technologies Office: Commercial Building Codes and Standards  

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