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1

The Grain Milling Oilseed Processing Industry  

E-Print Network [OSTI]

& 10 Prepared by: Sondra Rademacher ­ Business Service Specialist, Mankato, Mn. Garey Ferguson ­ Business Service Specialist, Fairmont, Mn. Sue Wold ­ Business Services Specialist, Faribault, Mn. David-19 Diamond of Advantage for Grain and Oilseed Processing Industry Attachment A Minnesota's Food Manufacturing

Levinson, David M.

2

311221," Wet Corn Milling",0,0,"X",0  

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

3 Relative Standard Errors for Table 11.3;" 3 Relative Standard Errors for Table 11.3;" " Unit: Percents." " "," ",,,"Renewable Energy" " "," ",,,"(excluding Wood" "NAICS"," ","Total Onsite",,"and" "Code(a)","Subsector and Industry","Generation","Cogeneration(b)","Other Biomass)(c)","Other(d)" ,,"Total United States" 311,"Food",2.8,1.1,86.8,37.8 3112," Grain and Oilseed Milling",0.7,0.7,"X",0 311221," Wet Corn Milling",0,0,"X",0 31131," Sugar Manufacturing",0,0,"X",0 3114," Fruit and Vegetable Preserving and Specialty Foods ",1.2,1.2,"X",44.1

3

Potential for Oilseeds in the Pacific Northwest  

E-Print Network [OSTI]

rotation. #12;Oilseed Crops Soybeans Canola Sunflower Rapeseed Safflower Mustard Flaxseed Camelina Crambe. High plant biomass. Large tap root. Allelopathic compounds. #12;Canola/Rapeseed Winter and spring-types. Differ only in oil quality. Rapeseed - High Erucic acid Canola - High Oleic acid #12;Options Winter

Kyte, Michael

4

Total  

Gasoline and Diesel Fuel Update (EIA)

Total Total .............. 16,164,874 5,967,376 22,132,249 2,972,552 280,370 167,519 18,711,808 1993 Total .............. 16,691,139 6,034,504 22,725,642 3,103,014 413,971 226,743 18,981,915 1994 Total .............. 17,351,060 6,229,645 23,580,706 3,230,667 412,178 228,336 19,709,525 1995 Total .............. 17,282,032 6,461,596 23,743,628 3,565,023 388,392 283,739 19,506,474 1996 Total .............. 17,680,777 6,370,888 24,051,665 3,510,330 518,425 272,117 19,750,793 Alabama Total......... 570,907 11,394 582,301 22,601 27,006 1,853 530,841 Onshore ................ 209,839 11,394 221,233 22,601 16,762 1,593 180,277 State Offshore....... 209,013 0 209,013 0 10,244 260 198,509 Federal Offshore... 152,055 0 152,055 0 0 0 152,055 Alaska Total ............ 183,747 3,189,837 3,373,584 2,885,686 0 7,070 480,828 Onshore ................ 64,751 3,182,782

5

Total............................................................  

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

Total................................................................... Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546

6

Total...................  

Gasoline and Diesel Fuel Update (EIA)

4,690,065 52,331,397 2,802,751 4,409,699 7,526,898 209,616 1993 Total................... 4,956,445 52,535,411 2,861,569 4,464,906 7,981,433 209,666 1994 Total................... 4,847,702 53,392,557 2,895,013 4,533,905 8,167,033 202,940 1995 Total................... 4,850,318 54,322,179 3,031,077 4,636,500 8,579,585 209,398 1996 Total................... 5,241,414 55,263,673 3,158,244 4,720,227 8,870,422 206,049 Alabama ...................... 56,522 766,322 29,000 62,064 201,414 2,512 Alaska.......................... 16,179 81,348 27,315 12,732 75,616 202 Arizona ........................ 27,709 689,597 28,987 49,693 26,979 534 Arkansas ..................... 46,289 539,952 31,006 67,293 141,300 1,488 California ..................... 473,310 8,969,308 235,068 408,294 693,539 36,613 Colorado...................... 110,924 1,147,743

7

Seed Architecture Shapes Embryo Metabolism in Oilseed Rape  

Science Journals Connector (OSTI)

...Increasing both seed lipid content and quality are important breeding goals in oilseed...opposite has proven difficult to engineer to date (Abbadi and Leckband, 2011...Rapeseed breeding for oil content, quality, and sustainability. Eur. J...

Ljudmilla Borisjuk; Thomas Neuberger; Jörg Schwender; Nicolas Heinzel; Stephanie Sunderhaus; Johannes Fuchs; Jordan O. Hay; Henning Tschiersch; Hans-Peter Braun; Peter Denolf; Bart Lambert; Peter M. Jakob; Hardy Rolletschek

2013-05-24T23:59:59.000Z

8

Enzymatic corn wet milling: engineering process and cost model  

Science Journals Connector (OSTI)

Enzymatic corn wet milling (E-milling) is a process derived from conventional wet milling for the recovery and purification of starch ... the total starch production in USA by conventional wet milling equaled 23 ...

Edna C Ramrez; David B Johnston; Andrew J McAloon

2009-01-01T23:59:59.000Z

9

Total..........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1 2.8 2.4 2,500 to 2,999..................................................... 10.3 3.7 1.8 2.8 2.1 3,000 to 3,499..................................................... 6.7 2.0 1.4 1.7 1.6 3,500 to 3,999..................................................... 5.2 1.6 0.8 1.5 1.4 4,000 or More.....................................................

10

Total..........................................................................  

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

0.7 0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7 1.3 2,500 to 2,999..................................................... 10.3 3.0 1.8 0.5 0.7 3,000 to 3,499..................................................... 6.7 2.1 1.2 0.5 0.4 3,500 to 3,999..................................................... 5.2 1.5 0.8 0.3 0.4 4,000 or More.....................................................

11

Total..........................................................................  

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

25.6 25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1 2.6 2,500 to 2,999..................................................... 10.3 2.2 2.7 3.0 2.4 3,000 to 3,499..................................................... 6.7 1.6 2.1 2.1 0.9 3,500 to 3,999..................................................... 5.2 1.1 1.7 1.5 0.9 4,000 or More.....................................................

12

Total..........................................................................  

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

4.2 4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to 2,999..................................................... 10.3 2.4 0.9 1.4 3,000 to 3,499..................................................... 6.7 0.9 0.3 0.6 3,500 to 3,999..................................................... 5.2 0.9 0.4 0.5 4,000 or More.....................................................

13

Total.........................................................................  

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

Floorspace (Square Feet) Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3 2,500 to 2,999.................................................... 10.3 1.5 2.3 2.7 2.1 1.7 3,000 to 3,499.................................................... 6.7 1.0 2.0 1.7 1.0 1.0 3,500 to 3,999.................................................... 5.2 0.8 1.5 1.5 0.7 0.7 4,000 or More.....................................................

14

Total..........................................................................  

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

. . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to 2,999..................................................... 10.3 2.2 1.7 0.6 3,000 to 3,499..................................................... 6.7 1.6 1.0 0.6 3,500 to 3,999..................................................... 5.2 1.1 0.9 0.3 4,000 or More.....................................................

15

Total..........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4 2,500 to 2,999..................................................... 10.3 0.5 0.5 0.4 1.1 3,000 to 3,499..................................................... 6.7 0.3 Q 0.4 0.3 3,500 to 3,999..................................................... 5.2 Q Q Q Q 4,000 or More.....................................................

16

Total..........................................................  

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

.. .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7 0.4 2,139 1,598 Q Q Q Q 2,500 to 2,999........................................ 10.1 Q Q Q Q Q Q Q 3,000 or More......................................... 29.6 0.3 Q Q Q Q Q Q Heated Floorspace (Square Feet) None...................................................... 3.6 1.8 1,048 0 Q 827 0 407 Fewer than 500......................................

17

Total...................................................................  

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

2,033 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546 3,500 to 3,999................................................. 5.2 3,549 2,509 1,508

18

Total...........................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8 2,500 to 2,999..................................... 10.3 1.2 2.2 2.3 1.7 2.9 0.6 2.0 3,000 to 3,499..................................... 6.7 0.9 1.4 1.5 1.0 1.9 0.4 1.4 3,500 to 3,999..................................... 5.2 0.8 1.2 1.0 0.8 1.5 0.4 1.3 4,000 or More...................................... 13.3 0.9 1.9 2.2 2.0 6.4 0.6 1.9 Heated Floorspace

19

Total...........................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500.................................... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to 999........................................... 23.8 2.7 1.4 2.2 2.8 5.5 5.1 3.0 1.1 1,000 to 1,499..................................... 20.8 2.3 1.4 2.4 2.5 3.5 3.5 3.6 1.6 1,500 to 1,999..................................... 15.4 1.8 1.4 2.2 2.0 2.4 2.4 2.1 1.2 2,000 to 2,499..................................... 12.2 1.4 0.9 1.8 1.4 2.2 2.1 1.6 0.8 2,500 to 2,999..................................... 10.3 1.6 0.9 1.1 1.1 1.5 1.5 1.7 0.8 3,000 to 3,499..................................... 6.7 1.0 0.5 0.8 0.8 1.2 0.8 0.9 0.8 3,500 to 3,999..................................... 5.2 1.1 0.3 0.7 0.7 0.4 0.5 1.0 0.5 4,000 or More...................................... 13.3

20

Total................................................  

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

.. .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to 2,499.............................. 12.2 11.9 2,039 1,731 1,055 2,143 1,813 1,152 Q Q Q 2,500 to 2,999.............................. 10.3 10.1 2,519 2,004 1,357 2,492 2,103 1,096 Q Q Q 3,000 or 3,499.............................. 6.7 6.6 3,014 2,175 1,438 3,047 2,079 1,108 N N N 3,500 to 3,999.............................. 5.2 5.1 3,549 2,505 1,518 Q Q Q N N N 4,000 or More...............................

Note: This page contains sample records for the topic "oilseed milling total" 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

Oilseeds for Biofuels and Biochemicals in Texas BIOENERGY PROGRAM  

E-Print Network [OSTI]

Oilseeds for Biofuels and Biochemicals in Texas BIOENERGY PROGRAM Description feedstocks (primarily soybean) with food and feed markets. The price of October 2009 Chicago soybean oil to be competitive in the domestic market. U.S. biodiesel manfacturers are closing, consolidating, or suspending

22

Evan Mills  

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

Evan Mills Evan Mills Evan Mills Residential Building Systems Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2000 Berkeley CA 94720 Office Location: 90-2058 (510) 486-6784 EMills@lbl.gov Evan Mills is a Staff Scientist in the Building Technology and Urban Systems Department, and has worked in the energy efficiency field since 1982. His core commercial-buildings expertise is in energy benchmarking, commissioning, high-tech buildings, risk management, and the efficiency business case. He is a frequent speaker to academic and industry audiences on buildings energy efficiency, author of over 200 publications, and member of the Intergovernmental Panel on Climate Change, which shared the 2007 Nobel Peace Prize. He is recipient of an R&D 100 award for commercializing

23

Andrew Mills  

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

Andrew D. Mills Andrew D. Mills Andrew Mills Electricity Markets and Policy Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R4000 Berkeley CA 94720 Office Location: 90-4126J (510) 486-4059 ADMills@lbl.gov Andrew D. Mills is a Principal Research Associate in the Electricity Markets and Policy Group at Lawrence Berkeley National Laboratory. Andrew conducts research and provides policy analysis on renewables and transmission, including power system operations and valuation of wind and solar. Andrew's has published his research in Energy Policy and was a contributing author to the IPCC Special Report on Renewable Energy. Previously, Andrew worked with All Cell Technologies, a battery technologystart-up company. Andrew has an M.S. in Energy and Resources from UC Berkeley and a B.S. in

24

Wind Mills  

Science Journals Connector (OSTI)

Over 5,000 years ago, the ancient Egyptians used wind to sail ships on the Nile River. While the proliferation of water mills was in full swing, windmills appeared to harness more inanimate energy by employing wind

J. S. Rao

2011-01-01T23:59:59.000Z

25

Effects of Oilseed Meals on the Germination, Growth, and Survival of Crop and Weed Species  

E-Print Network [OSTI]

Oilseed crops are being widely evaluated for potential biodiesel production. Seed meal (SM) remaining after extracting oil may have use as a bioherbicide or organic fertilizer. Brassicaceae SM often contains glucosinolates that can hydrolyze...

Rothlisberger, Katie Lynn

2012-02-14T23:59:59.000Z

26

Online SAG Mill Pluse Measurement and Optimization  

SciTech Connect (OSTI)

The grinding efficiency of semi autogenous milling or ball milling depends on the tumbling motion of the total charge within the mill. Utilization of this tumbling motion for efficient breakage of particles depends on the conditions inside the mill. However, any kind of monitoring device to measure the conditions inside the mill shell during operation is virtually impossible due to the severe environment presented by the tumbling charge. An instrumented grinding ball, which is capable of surviving a few hours and transmitting the impacts it experiences, is proposed here. The spectrum of impacts collected over 100 revolutions of the mills presents the signature of the grinding environment inside mill. This signature could be effectively used to optimize the milling performance by investigating this signature's relation to mill product size, mill throughput, make-up ball size, mill speed, liner profile and ball addition rates. At the same time, it can also be used to design balls and liner systems that can survive longer in the mill. The technological advances made in electronics and communication makes this leap in instrumentation certainly viable. Hence, the instrumented grinding ball offers the ability to qualitatively observe and optimize the milling environment. An instrumented load cell package that can measure the force of impacts inside the grinding chamber of a mill is developed here. The signal from the instrumented load cell package is interpreted in terms of a histogram termed as an impact spectrum which is a plot of the number of impacts at a specific energy level against the energy. It reflects on the average force regime of the mill. The instrumented load cell package was calibrated against the ultra fast load cell which has been unanimously accepted as a standard to measure single breakage events. The load cell package was successfully used to produce impact spectra in an 8.5 inch lab scale mill. The mill speed and the ball size were varied to study their effect on the impact spectra. A good correlation was found between the process variables and the impact spectra. The load cell package was then used in a 16 inch pilot scale mill. The mill speed, ball size, and mill filling were varied here and a consistent trend between these variables and impact spectra was observed. With a better understanding developed from the initial tests, the design of the load cell package was significantly changed to eliminate noise. With the new design, the impact spectra were re-determined in the 16 inch pilot mill varying the process variables - ball size, mill speed, and mill filling. Finally, it is successfully shown that a change in the operating variables of a mill can be seen in the impact spectra and that this concept can be successfully developed to monitor the grinding operation of industrial mills. To adapt it to industrial level it is mandatory to make the load cell package wireless. A design of a wireless circuit that is capable of transferring data at the required speed of 1000 kbps was also developed and tested at Cortez Gold Mines (CGM), Nevada.

Raj Rajamani; Jose Delgadillo; Vishal Duriseti

2007-06-30T23:59:59.000Z

27

21 - Milling Control  

Science Journals Connector (OSTI)

Publisher Summary This chapter discusses milling control. Brix graph curves are used to denote and compare mill control efficiency. The degree to which the values obtained in the mills approach the theoretical curve indicates how well each mill is doing its work. To establish these brix curves, the brix of back-roller juice is generally taken. In dry crushing mills, the brix of the feed-roller juice is higher. In wet crushing mills, on the contrary, it is the back-roller juice which has the higher brix. Mill control is based on an equation expressing the fact that the weight of material entering the milling plant is equal to the weight leaving, cane = imbibition water = mixed juice = bagasse. This equation though does not work out strictly correct in practice. The basic equation serves mainly to determine the weight of bagasse, the three other terms being generally weighed or measured. Also, before analysis, the bagasse, in turn, also loses a small fraction of its weight, which is generally negligible. One important method for milling control calculation is using the Hawaiian method.

E. HUGOT

2014-01-01T23:59:59.000Z

28

New frontiers in oilseed biotechnology: meeting the growing global demand for vegetable oils for food, feed, biofuel, and industrial uses.  

SciTech Connect (OSTI)

Vegetable oils have historically been a valued commodity for food use and to a lesser extent for non-edible applications such as detergents and lubricants. The increasing reliance on biodiesel as a transportation fuel has contributed to rising demand and higher prices for vegetable oils. Biotechnology offers a number of solutions to meet the growing need for affordable vegetable oils and vegetable oils with improved fatty acid compositions for food and industrial uses. New insights into oilseed metabolism and its transcriptional control are enabling biotechnological enhancement of oil content and quality. Alternative crop platforms and emerging technologies for metabolic engineering also hold promise for meeting global demand for vegetable oils and for enhancing nutritional, industrial, and biofuel properties of vegetable oils. Here, we highlight recent advances in our understanding of oilseed metabolism and in the development of new oilseed platforms and metabolic engineering technologies.

Lu, C; Napier, JA; Clemente, TE; Cahoon, EB

2011-01-01T23:59:59.000Z

29

The utilization of oilseed proteins as encapsulation agents  

E-Print Network [OSTI]

considerations dictate the use of the least amount of packaging necessary? Balassa and Fanger (1971) claimed excessive oil loss during processing for high oil-to-wall ratios, Official analytical methods for determining the total fat content of encapsulated... 6. 60 7. 46 4. 73 3. 88 4. 96 0. 45 0. 08 0. 81 0. 13 2. 21 77. 49 94. 08 98. 02 91. 84 95. 52 27. 2 53. 3 66. 2 4. 2 41. 2 96. 7 74. 5 95. 5 99. 8 45. 9 69. 7 96. 4 a Moisture-free basis b Estimated by N X 6. 25 Table 3...

Baker, Grey Wayne

2012-06-07T23:59:59.000Z

30

A strategy for selection of the optimal machining sequence in high speed milling process  

Science Journals Connector (OSTI)

In order to reduce total manufacturing time for dies and moulds, machining process should be optimised. In this method, the parts, characterised by complex geometry, are produced by significant application of high speed milling utilisation of ball end ... Keywords: ball end milling, high speed machining, high speed milling, machining sequences, machining strategy, process optimisation, process planning, rest machining, sculptured surfaces, sequence selection

Rezo Aliyev

2006-09-01T23:59:59.000Z

31

SCHEDULE OF FEES Wet Milling  

E-Print Network [OSTI]

SCHEDULE OF FEES Wet Milling 100 g.......................$120..per sample* 1 kilogram of Illinois offers five milling procedures to determine processing characteristics of corn. Laboratory times. WET MILLING The wet milling process is used to produce starch (99.6% purity) as the primary

Illinois at Urbana-Champaign, University of

32

Compression ignition engine performance and emission evaluation of industrial oilseed biofuel feedstocks camelina, carinata, and pennycress across three fuel pathways  

Science Journals Connector (OSTI)

Abstract Industrial oilseeds camelina (Camelina sativa L.), carinata (Brassica carinata), and pennycress (Thlaspi arvense L.) offer great potential as biofuel feedstocks due to their non-food nature and positive agronomic attributes. This research focused on compression ignition (CI) engine performance and emissions of these industrial oilseeds as compared to both traditional feedstocks and petroleum diesel. A John Deere 4.5L test engine was used to evaluate these oils using three fuel pathways (triglyceride blends, biodiesel, and renewable diesel). This engine research represents the first direct comparison of these new biofuel feedstocks to each other and to conventional sources. For some industrial oilseed feedstock and fuel pathway combinations, this study also represents the first engine performance data available. The results were promising, with camelina, carinata, and pennycress engine performance very similar to the traditional oils for each fuel pathway. Fuel consumption, thermal efficiency, and emissions were all were typical as compared to traditional oilseed feedstocks. Average brake specific fuel consumption (bsfc) for the industrial oilseed biofuels was within 1.3% of the conventional oilseed biofuels for each fuel type. Initial research with triglyceride blends (TGB), formed by blending straight vegetable oil with gasoline, indicate it may be an ideal fuel pathway for farm-scale fuel production, and was compatible with a direct injection CI engine without modification. TGB had lower fuel consumption and a higher thermal efficiency than biodiesel for each feedstock tested. For several categories, TGB performed similar to petroleum diesel. TGB volumetric bsfc was only 1.9% higher than the petroleum runs. TGB combustion characteristics were similar to biodiesel. Biodiesel runs had several emission benefits such as reductions in carbon monoxide (CO), non-methane hydrocarbons (NMHC), volatile organic compounds (VOCs), and formaldehyde (CH20) emissions as compared to TGB runs. The renewable diesels had petroleum-like engine performance and combustion characteristics, while still maintaining some of the benefits of biodiesel such as reduced CO emissions. Nitrogen oxides (NOx) emissions were also 6% lower for renewable diesel runs than petroleum. Both crude and refined oil was used as feedstock, and did not significantly affect engine performance or emissions in a modern CI engine.

A.C. Drenth; D.B. Olsen; P.E. Cabot; J.J. Johnson

2014-01-01T23:59:59.000Z

33

Evaluation of End Mill Coatings  

SciTech Connect (OSTI)

Milling tests were run on families of High Speed Steel (HSS) end mills to determine their lives while machining 304 Stainless Steel. The end mills tested were made from M7, M42 and T15-CPM High Speed Steels. The end mills were also evaluated with no coatings as well as with Titanium Nitride (TiN) and Titanium Carbo-Nitride (TiCN) coatings to determine which combination of HSS and coating provided the highest increase in end mill life while increasing the cost of the tool the least. We found end mill made from M42 gave us the largest increase in tool life with the least increase in cost. The results of this study will be used by Cutting Tool Engineering in determining which end mill descriptions will be dropped from our tool catalog.

L. J. Lazarus; R. L. Hester,

2005-08-01T23:59:59.000Z

34

DOE Awards Technical Assistance Contract for Moab Mill Tailings Cleanup |  

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

Technical Assistance Contract for Moab Mill Tailings Technical Assistance Contract for Moab Mill Tailings Cleanup DOE Awards Technical Assistance Contract for Moab Mill Tailings Cleanup May 31, 2012 - 12:00pm Addthis Media Contact Bill Taylor bill.taylor@srs.gov 803-952-8564 Cincinnati-The U.S. Department of Energy (DOE) today announced the award of an $18 million small disadvantaged business contract with S&K Aerospace, LLC, of St. Ignatius, Montana to continue to provide technical assistance services for the Moab Uranium Mill Tailings Remedial Action (UMTRA) Project in Moab, Utah. The basic contract is for three years with two one-year options to extend, for a total of up to five years. S&K Aerospace, LLC, a tribal organization 8(a) small business, will assist in the Department's removal of uranium tailings at the former Atlas

35

Biodiesel is produced from a wide variety of oilseed crops. In Europe, canola is the major biodiesel crop while in the U.S. soybeans dominates. Montana State University and USDA researchers have  

E-Print Network [OSTI]

Technology Biodiesel is produced from a wide variety of oilseed crops. In Europe, canola is the major biodiesel crop while in the U.S. soybeans dominates. Montana State University and USDA researchers to work for a broad range of oilseed plants including biodiesel and cereal crops. Increased oil

Maxwell, Bruce D.

36

Performance Period Total Fee Paid  

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

Period Period Total Fee Paid 4/29/2012 - 9/30/2012 $418,348 10/1/2012 - 9/30/2013 $0 10/1/2013 - 9/30/2014 $0 10/1/2014 - 9/30/2015 $0 10/1/2015 - 9/30/2016 $0 Cumulative Fee Paid $418,348 Contract Type: Cost Plus Award Fee Contract Period: $116,769,139 November 2011 - September 2016 $475,395 $0 Fee Information Total Estimated Contract Cost $1,141,623 $1,140,948 $1,140,948 $5,039,862 $1,140,948 Maximum Fee $5,039,862 Minimum Fee Fee Available Portage, Inc. DE-DT0002936 EM Contractor Fee Site: MOAB Uranium Mill Tailings - MOAB, UT Contract Name: MOAB Uranium Mill Tailings Remedial Action Contract September 2013 Contractor: Contract Number:

37

Mills Laboratory | Savannah River Ecology Laboratory  

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

Currently, Angela is working with Dr. Gary Mills research program on constructed wetlands. Additional responsibilities include chemical coordinator for the Mills lab and...

38

The Mathematics of Mills College  

E-Print Network [OSTI]

The Mathematics of Doodling Mills College The Möbius Band November 12, 2010 #12;Doodle Warm-up Draw the nar- whal to Bonus Project #1! #12;Every Doodle is a Winding Road Problem: Suppose X is a convex

Easton, Robert W.

39

TOTAL Full-TOTAL Full-  

E-Print Network [OSTI]

Conducting - Orchestral 6 . . 6 5 1 . 6 5 . . 5 Conducting - Wind Ensemble 3 . . 3 2 . . 2 . 1 . 1 Early- X TOTAL Full- Part- X TOTAL Alternative Energy 6 . . 6 11 . . 11 13 2 . 15 Biomedical Engineering 52 English 71 . 4 75 70 . 4 74 72 . 3 75 Geosciences 9 . 1 10 15 . . 15 19 . . 19 History 37 1 2 40 28 3 3 34

Portman, Douglas

40

Total Imports  

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

Data Series: Imports - Total Imports - Crude Oil Imports - Crude Oil, Commercial Imports - by SPR Imports - into SPR by Others Imports - Total Products Imports - Total Motor Gasoline Imports - Finished Motor Gasoline Imports - Reformulated Gasoline Imports - Reformulated Gasoline Blended w/ Fuel Ethanol Imports - Other Reformulated Gasoline Imports - Conventional Gasoline Imports - Conv. Gasoline Blended w/ Fuel Ethanol Imports - Conv. Gasoline Blended w/ Fuel Ethanol, Ed55 & Ed55 Imports - Other Conventional Gasoline Imports - Motor Gasoline Blend. Components Imports - Motor Gasoline Blend. Components, RBOB Imports - Motor Gasoline Blend. Components, RBOB w/ Ether Imports - Motor Gasoline Blend. Components, RBOB w/ Alcohol Imports - Motor Gasoline Blend. Components, CBOB Imports - Motor Gasoline Blend. Components, GTAB Imports - Motor Gasoline Blend. Components, Other Imports - Fuel Ethanol Imports - Kerosene-Type Jet Fuel Imports - Distillate Fuel Oil Imports - Distillate F.O., 15 ppm Sulfur and Under Imports - Distillate F.O., > 15 ppm to 500 ppm Sulfur Imports - Distillate F.O., > 500 ppm to 2000 ppm Sulfur Imports - Distillate F.O., > 2000 ppm Sulfur Imports - Residual Fuel Oil Imports - Propane/Propylene Imports - Other Other Oils Imports - Kerosene Imports - NGPLs/LRGs (Excluding Propane/Propylene) Exports - Total Crude Oil and Products Exports - Crude Oil Exports - Products Exports - Finished Motor Gasoline Exports - Kerosene-Type Jet Fuel Exports - Distillate Fuel Oil Exports - Residual Fuel Oil Exports - Propane/Propylene Exports - Other Oils Net Imports - Total Crude Oil and Products Net Imports - Crude Oil Net Imports - Petroleum Products Period: Weekly 4-Week Avg.

Note: This page contains sample records for the topic "oilseed milling total" 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

SUBAQUEOUS DISPOSAL OF MILL TAILINGS  

SciTech Connect (OSTI)

A study of mill tailings and sulfide minerals was carried out in order to understand their behavior under subaqueous conditions. A series of electrochemical experiments, namely, cyclic voltammetry, electrochemical impedance spectroscopy and galvanic coupling tests were carried out in artificial seawater and in pH 6.8 buffer solutions with chloride and ferric salts. Two mill tailings samples, one from the Kensington Mine, Alaska, and the other from the Holden Mine, Washington, were studied along with pyrite, galena, chalcopyrite and copper-activated sphalerite. SEM analysis of mill tailings revealed absence of sulfide minerals from the Kensington Mine mill tailings, whereas the Holden Mine mill tailings contained approximately 8% pyrite and 1% sphalerite. In order to conduct electrochemical tests, carbon matrix composite (CMC) electrodes of mill tailings, pyrite and galena were prepared and their feasibility was established by conducting a series of cyclic voltammetry tests. The cyclic voltammetry experiments carried out in artificial seawater and pH 6.8 buffer with chloride salts showed that chloride ions play an important role in the redox processes of sulfide minerals. For pyrite and galena, peaks were observed for the formation of chloride complexes, whereas pitting behavior was observed for the CMC electrodes of the Kensington Mine mill tailings. The electrochemical impedance spectroscopy conducted in artificial seawater provided with the Nyquist plots of pyrite and galena. The Nyquist plots of pyrite and galena exhibited an inert range of potential indicating a slower rate of leaching of sulfide minerals in marine environments. The galvanic coupling experiments were carried out to study the oxidation of sulfide minerals in the absence of oxygen. It was shown that in the absence of oxygen, ferric (Fe3+) ions might oxidize the sulfide minerals, thereby releasing undesirable oxidation products in the marine environment. The source of Fe{sup 3{minus}} ions may be attributed to iron-bearing sulfide (and oxide) minerals present in the mill tailings. However, the concentration of available Fe{sup 3{minus}} ions can be reduced by the precipitation of insoluble ferric hydroxides (Fe(OH ){sub 3}) by seawater due to its near neutral pH. In such case, the oxidation of a sulfide mineral is inhibited due to the absence of an oxidizing agent (viz. oxygen and/or Fe{sup 3+} ions). The experiments carried out in this study provided a better understanding of behavior of sulfide minerals and mill tailings in subaqueous conditions and may be useful for further investigation of sulfide minerals and mill tailings in other environments.

Neeraj K. Mendiratta; Roe-Hoan Yoon; Paul Richardson

1999-09-03T23:59:59.000Z

42

Moab Mill Tailings Pile 25 Percent Disposed: DOE Moab Project Reaches  

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

Mill Tailings Pile 25 Percent Disposed: DOE Moab Project Mill Tailings Pile 25 Percent Disposed: DOE Moab Project Reaches Significant Milestone Moab Mill Tailings Pile 25 Percent Disposed: DOE Moab Project Reaches Significant Milestone June 3, 2011 - 12:00pm Addthis Media Contacts Donald Metzler Moab Federal Project Director (970) 257-2115 Wendee Ryan S&K Aerospace Public Affairs Manager (970) 257-2145 Grand Junction, CO - One quarter of the uranium mill tailings pile located in Moab, Utah, has been relocated to the Crescent Junction, Utah, site for permanent disposal. Four million tons of the 16 million tons total has been relocated under the Uranium Mill Tailings Remedial Action Project managed by the U.S. Department of Energy (DOE). A little over 2 years ago, Remedial Action Contractor EnergySolutions began

43

Gas fluidized-bed stirred media mill  

DOE Patents [OSTI]

A gas fluidized-bed stirred media mill is provided for comminuting solid ticles. The mill includes a housing enclosing a porous fluidizing gas diffuser plate, a baffled rotor and stator, a hollow drive shaft with lateral vents, and baffled gas exhaust exit ports. In operation, fluidizing gas is forced through the mill, fluidizing the raw material and milling media. The rotating rotor, stator and milling media comminute the raw material to be ground. Small entrained particles may be carried from the mill by the gas through the exit ports when the particles reach a very fine size.

Sadler, III, Leon Y. (Tuscaloosa, AL)

1997-01-01T23:59:59.000Z

44

John Stuart Mill's Sanction Utilitarianism: A Philosophical and Historical Interpretation  

E-Print Network [OSTI]

This dissertation argues for a particular interpretation of John Stuart Mills utilitarianism, namely that Mill is best read as a sanction utilitarian. In general, scholars commonly interpret Mill as some type of act or rule utilitarian. In making...

Wright, David

2014-04-24T23:59:59.000Z

45

Solutions to Yang-Mills equations  

E-Print Network [OSTI]

This article gives explicit solutions to the Yang-Mills equations. The solutions have positive energy that can be made arbitrarily small by selection of a parameter showing that Yang-Mills field theories do not have a mass gap.

Jorma Jormakka

2010-11-15T23:59:59.000Z

46

Gary Mills | Savannah River Ecology Laboratory  

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

Mills Curriculum Vitae Faculty & Scientists SREL Home Gary Mills Savannah River Ecology Laboratory P O Drawer E, Aiken, SC 29802 (803) 725-5368 office (803) 725-3309 fax...

47

Design of a human powered maize mill  

E-Print Network [OSTI]

The process of milling corn into flour in many rural communities of East Africa has remained a traditional mortar and pestle process for centuries. Milling machines have failed in these communities largely due to poor ...

Salinas, Melvin Gustavo

2014-01-01T23:59:59.000Z

48

Thermodynamics of the Yang-Mills gas  

Science Journals Connector (OSTI)

The contribution of nonlinear fluctuations (instantons) to the thermodynamics of the Yang-Mills gas at high temperature is estimated.

Barry J. Harrington and Harvey K. Shepard

1978-10-15T23:59:59.000Z

49

Standard Operating Procedure (SOP) -Milling Machine  

E-Print Network [OSTI]

Standard Operating Procedure (SOP) - Milling Machine · Keep all guards in place while operating the machine. · While operating the milling machine allow no one else to touch it. · Keep hands away from moving cutting tools. · Do not make measurements of the stock while the milling machine is powered. · Do

Veiga, Pedro Manuel Barbosa

50

The effects of cottonseed oil mill design on fire insurance costs  

E-Print Network [OSTI]

not standard Jll grinding or disc huller: Pisc huller in mill building Right angle drives and spur gears Total Add 5JT4 of Hay Rate of city or town Total Deduct for chemical engine on wheels: 5'K of above rate Total Deduct for sprinklers...). The provisions of the TGBS state that 50$ of the key rate is to be added in determining a gross rate for a cottonseed oil mill if the property is within the city limits of an incorporated municipality with a recognized water works, and if the property...

Clark, Stanley Preston

2012-06-07T23:59:59.000Z

51

Moab Mill Tailings Removal Project Reaches 5 Million Tons Disposed: Project  

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

Moab Mill Tailings Removal Project Reaches 5 Million Tons Disposed: Moab Mill Tailings Removal Project Reaches 5 Million Tons Disposed: Project Accomplishes Milestone While Doing it Safely Moab Mill Tailings Removal Project Reaches 5 Million Tons Disposed: Project Accomplishes Milestone While Doing it Safely February 27, 2012 - 12:00pm Addthis Media Contacts Donald Metzler, Moab Federal Project Director, (970) 257-2115 Wendee Ryan, S&K Aerospace Public Affairs Manager, (970) 257-2145 Grand Junction, CO- The U.S. Department of Energy (DOE) reached another milestone today for the Uranium Mill Tailings Remedial Action Project, having shipped 5 million tons of tailings from the massive pile located in Moab, Utah, to the engineered disposal cell near Crescent Junction, Utah. The pile comprised an estimated 16 million tons total when DOE's Remedial

52

Quantum Yang-Mills Condensate Dark Energy Models  

E-Print Network [OSTI]

We review the quantum Yang-Mills condensate (YMC) dark energy models. As the effective Yang-Mills Lagrangian is completely determined by the quantum field theory, there is no adjustable parameter in the model except the energy scale. In this model, the equation-of-state (EOS) of the YMC dark energy, $w_y > -1$ and $w_y 0$ into $w_y < -1$, which is slightly suggested by the observations. At the same time, the total EOS in the attractor solution is $w_{tot} = -1$, the universe being the de Sitter expansion in the late stage, and the cosmic big rip is naturally avoided. These features are all independent of the interacting forms.

Zhao, W; Tong, M L

2009-01-01T23:59:59.000Z

53

The Bowersock Mills and Power Company 1874  

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

Incremental Hydroelectric Energy The Bowersock Mills and Power Co., Lawrence, KS Hydroelectric Energy Potential for U.S. BMPC Plant At Forefront of Development Curve "In our...

54

Colony Mills Limited | Open Energy Information  

Open Energy Info (EERE)

Limited Place: Lahore, Pakistan Sector: Solar Product: Yarn manufacturer, plans to set up solar thermal plant. References: Colony Mills Limited1 This article is a stub. You can...

55

Welcome to Cotton Mills At Cotton Mills, we believe your accommodation should help you make the most of your  

E-Print Network [OSTI]

Welcome to Cotton Mills At Cotton Mills, we believe your accommodation should help you make to an amazing £1,200 per annum. Cotton Mills is fully certificated by: Cotton Mills is fully certificated. Cotton Mills is conveniently located on Radford Boulevard, right next to Norton Court (NTU accommodation

Evans, Paul

56

Virtual cutter path display for dental milling machine  

E-Print Network [OSTI]

This paper presents the prototype of a mixed reality system using the computer controlled dental milling machine, which is called MRD Mill. First, overview of the core dental milling machine developed in this study is ...

Ito, Teruaki

57

URANIUM MILL TAILINGS RADON FLUX CALCULATIONS  

E-Print Network [OSTI]

at the Piñon Ridge Property in western Montrose County, Colorado. The Piñon Ridge Mill includesURANIUM MILL TAILINGS RADON FLUX CALCULATIONS PI?ON RIDGE PROJECT MONTROSE COUNTY, COLORADO Submitted To: Energy Fuels Resources Corporation 44 Union Boulevard, Suite 600 Lakewood, Colorado 80228

58

Radiological health aspects of uranium milling  

SciTech Connect (OSTI)

This report describes the operation of conventional and unconventional uranium milling processes, the potential for occupational exposure to ionizing radiation at the mill, methods for radiological safety, methods of evaluating occupational radiation exposures, and current government regulations for protecting workers and ensuring that standards for radiation protection are adhered to. In addition, a survey of current radiological health practices is summarized.

Fisher, D.R.; Stoetzel, G.A.

1983-05-01T23:59:59.000Z

59

DOE - Office of Legacy Management -- Belfield Mill Site - ND...  

Office of Legacy Management (LM)

Belfield Mill Site - ND 0-01 FUSRAP Considered Sites Site: Belfield Mill Site (ND.0-01 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site...

60

Wet Corn Milling Energy Guide  

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

307 307 ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Energy Efficiency Improvement and Cost Saving Opportunities for the Corn Wet Milling Industry An ENERGY STAR Guide for Energy and Plant Managers Christina Galitsky, Ernst Worrell and Michael Ruth Environmental Energy Technologies Division Sponsored by the U.S. Environmental Protection Agency July 2003 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product,

Note: This page contains sample records for the topic "oilseed milling total" 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

Biodiesel is produced from a wide variety of oilseed crops. In Europe, canola is the major biodiesel crop while in the U.S. soybeans dominate. Montana State University researchers have developed a  

E-Print Network [OSTI]

Technology Biodiesel is produced from a wide variety of oilseed crops. In Europe, canola is the major biodiesel crop while in the U.S. soybeans dominate. Montana State University researchers have plants used for biodiesel. Seed oil content increases are induced by puroindoline genes which promote

Maxwell, Bruce D.

62

Barge Truck Total  

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

Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over...

63

PERFORMANCE MODEL FOR MULTIBLADED WATER-PUMPING WIND-MILLS  

Science Journals Connector (OSTI)

ABSTRACT The steady and the dynamic equilibrium of a multibladed water-pumping wind-mill has been studied under the assumption of a simple model. Good agreement has been found between theoretical and experimental results. KEYWORDS Wind energy; water-pumping wind-mills; wind-mill design; wind-mill test; performance optimization.

R. Pallabazzer

1986-01-01T23:59:59.000Z

64

Mille Lacs Energy Cooperative | Open Energy Information  

Open Energy Info (EERE)

Mille Lacs Energy Cooperative Mille Lacs Energy Cooperative (Redirected from Mille Lacs Electric Coop) Jump to: navigation, search Name Mille Lacs Energy Cooperative Place Minnesota Utility Id 12546 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes ISO MISO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Dual Fuel Space Heating Rate Electric Combination Heating Rate Freedom Heating Rate Residential General Service Residential Green Power Energy Large Power Commercial Large Power - Industrial Industrial Light - 100 watt HPS Lighting Light - 150 watt HPS Lighting

65

Total production of uranium concentrate in the United States  

Gasoline and Diesel Fuel Update (EIA)

2. Number of uranium mills and plants producing uranium concentrate in the United States 2. Number of uranium mills and plants producing uranium concentrate in the United States Uranium Concentrate Processing Facilities End of 1996 End of 1997 End of 1998 End of 1999 End of 2000 End of 2001 End of 2002 End of 2003 End of 2004 End of 2005 End of 2006 End of 2007 End of 2008 End of 2009 End of 2010 End of 2011 End of 2012 End of 3rd Quarter 2013 Mills - conventional milling1 0 0 0 1 1 0 0 0 0 0 0 0 1 0 1 1 1 0 Mills - other operators2 2 3 2 2 2 1 1 0 0 1 1 1 0 1 0 0 0 1 In-Situ-Leach Plants3 5 6 6 4 3 3 2 2 3 3 5 5 6 3 4 5 5 5 Byproduct Recovery Plants4 2 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Total 9 11 9 7 6 4 3 2 3 4 6 6 7 4 5 6 6 6

66

Engineering process and cost model for a conventional corn wet milling facility  

Science Journals Connector (OSTI)

Conventional wet milling of corn is a process designed for the recovery and purification of starch and several coproducts (germ, gluten, fiber and steep liquor). The total starch produced by the wet milling industry in the USA in 2004 equaled 21.5billionkg, including modified starches and starches used for sweeteners and ethanol production. Process engineering and cost models for a corn wet milling process (for steeping and milling facilities) have been developed for a generic processing plant with a capacity of 2.54millionkg of corn per day (100,000bu/day). The process includes grain cleaning, steeping, germ separation and recovery, fiber separation and recovery, gluten separation and recovery and starch separation. Information for the development of the models was obtained from a variety of technical sources including commercial wet milling companies, industry experts and equipment suppliers. The models were developed using process and cost simulation software (SuperPro Designer) and include processing information such as composition and flow rates of the various process streams, descriptions of the various unit operations and detailed breakdowns of the operating and capital cost of the facility. Based on the information from the model, we can estimate the cost of production per kilogram of starch using the input prices for corn and other wet milling coproducts. We have also used the model to conduct a variety of sensitivity studies utilizing modifications such as feedstock costs, corn compositional variations, and the sale of wet corn gluten feed. The model is also being used as a base-case for the development of models to test alternative processing technologies and to help in the scale-up and commercialization of new wet milling technologies. This model is available upon request from the authors for educational, non-commercial and research uses.

Edna C. Ramirez; David B. Johnston; Andrew J. McAloon; Winnie Yee; Vijay Singh

2008-01-01T23:59:59.000Z

67

Improvements to laboratory-scale maize wet-milling procedures  

Science Journals Connector (OSTI)

The wet milling of maize is difficult to study in the laboratory because some of the required separation steps are challenging to implement at bench-scale. This work was conducted to develop an improved 100-g wet-milling procedure that better models the industrial process. Several separation steps were modified from previously reported methods. Among the changes, germ was recovered by a flotation/skimming technique that is normally used on larger-scale procedures. Starch was recovered by tabling, but the flow profile at the end of the table was changed to reduce gluten settling and the partitioning and pumping of slurry fractions was changed to allow the tabling process to begin immediately after fiber recovery. Gluten was dewatering directly on the table overflow, and starch was recovered from the table before drying. These modifications eliminated some problems associated with other procedures, e.g. the scraping of tabled starch to reduce protein contamination, the loss of germ due to size reduction, and the separate recovery of coarse and fine fiber fractions. Compared with routine tabling methods, the modified method used in this work produced starch with less protein (0.42 versus 0.55% for the maize variety tested); however, the improvement was achieved at the expense of a slightly lower starch yield (64.4 versus 65.4%). Standard deviations for the product yields were 0.28% for starch, 0.27% for gluten, 0.24% for fiber, 0.13% for germ, and 0.07% for total solubles. The procedure will be beneficial for some maize wet-milling experiments.

Michael K. Dowd

2003-01-01T23:59:59.000Z

68

DOE - Office of Legacy Management -- Monticello Mill Site - UT 03  

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

Mill Site - UT 03 Mill Site - UT 03 FUSRAP Considered Sites Site: Monticello Mill Site (UT.03) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Monticello, Utah, Disposal and Processing Sites Documents Related to Monticello Mill Site Monticello Mill Tailings Site Operable Unit III Interim Remedial Action Progress Report July 1999-July 2000. GJO-2000-163-TAR. September 2000 U.S. Department of Energy at Grand Junction 2003 Annual Inspection Monticello, Utah November 2003 2005 Annual Inspection of the Monticello Mill Tailings (USDOE) and Monticello Radioactively Contaminated Properties Sites December 2005 Office

69

Lightning prevention systems for paper mills  

SciTech Connect (OSTI)

Paper mills are increasingly relying on sensitive electronic equipment to control their operations. However, the sensitivity of these devices has made mills vulnerable to the effects of lightning strokes. An interruption in the power supply or the destruction of delicate microcircuits can have devastating effects on mill productivity. The authors discuss how lightning strokes can be prevented by a Dissipation Array system (DAS). During the past 17 years, the concept has been applied to a host of applications in regions with a high incidence of lightning activity. With nearly 700 systems now installed, more than 4000 system-years of history have been accumulated. Areas as large as 1 km{sup 2} and towers as high as 2000 ft have been protected and completely isolated from lightning strokes. There have been very few failures, and in every case, the cause of the failure was determined and corrected.

Carpenter, R.B. Jr. (Lightning Eliminators and Consultants, Santa Fe Springs, CA (US))

1989-05-01T23:59:59.000Z

70

DOE - Office of Legacy Management -- Bowman Mill Site - ND 0...  

Office of Legacy Management (LM)

Bowman Mill Site - ND 0-02 FUSRAP Considered Sites Site: Bowman Mill Site (ND.0-02 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition:...

71

De-dusting Filter Bags Reduce Indian Petcoke Mill Emissions  

Science Journals Connector (OSTI)

BWF Envirotec has installed more than 400 filter bags in a pulse jet clean filter system at an Indian industrial mill producing petroleum coke, a fuel commonly used in rotary kilns for cement production. The pulse jet filter separates the fine grain petcoke product from the exhaust gases escaping out of the mill. The installation by the German-based company has reduced the mills measured emissions over the last nine months to under 10 mg/Nm3.

2003-01-01T23:59:59.000Z

72

The initiation of elongation growth during long-term low-temperature stay of spring-type oilseed rape may trigger loss of frost resistance and changes in photosynthetic apparatus  

Science Journals Connector (OSTI)

The aim of the present investigation was to determine if the loss of frost resistance observed in spring-type oilseed rape during winter may be the effect of the tendency to start elongation growth during the prolonged low-temperature stay. Interactions between elongation growth rate, properties of photosynthetic apparatus and frost resistance were studied under these conditions in spring and winter cultivars of oilseed rape. Both spring and winter cultivars of oilseed rape reached the maximal frost resistance after 6 weeks at +5C. Photosynthetic apparatus of both cultivars acclimated to functioning in cold. The resistance of winter type plants remained unchanged at the end of the experiment (10 weeks) whereas spring-type plants lost the maximal resistance in subsequent weeks. It was preceded in the 7th week of low-temperature stay by acceleration of elongation growth without an increase in dry matter accumulation. A gradual loss of photosynthetic activity was also observed during this period. It was manifested as a decrease in antenna trapping efficiency, photochemical and non-photochemical fluorescence quenching and actual quantum yield of PSII without affecting apparent quantum yield of PSII. At the 70th day of the experiment, a decrease in CO2 exchange and dry matter accumulation were even observed. The possible relationships between growth rate and functioning of photosynthetic apparatus are discussed.

Marcin Rapacz; Krzysztof Tokarz; Franciszek Janowiak

2001-01-01T23:59:59.000Z

73

Original article Impact of spreading olive mill wastewater on soil  

E-Print Network [OSTI]

Original article Impact of spreading olive mill wastewater on soil characteristics: laboratory 2001) Abstract ­ A dynamic of soil pollution with olive mill wastewater (OMW) was investigated process forms an olive mill wastewater (OMW). The amount of this waste depends on the process used for oil

Paris-Sud XI, Université de

74

Old mills, new condos; sound isolation in mill building conversion projects  

Science Journals Connector (OSTI)

Up and down the New England Coast century?old mill buildings are being converted into condominium and apartment buildings amidst one of the biggest housing booms in recent memory. While the inherent acoustical conflicts in multi?family dwelling are not new (oft?cited HUD guidelines are approaching their 40th birthday) the flood of mill conversions is bringing to light a number of new constructions that architects use to chop former factories into discrete living spaces. This paper will present field?collected data and case studies that illustrate some of the problems and common pitfalls associated with mill building conversion projects. Among the construction details discussed include exposed timber ceilings that run continuously across gypsum board partitions the creative reuse of existing brick walls and some acoustical properties of wood deck construction common to many mill buildings.

2006-01-01T23:59:59.000Z

75

The effect of conditioning rice during the laboratory milling process on the quality of the milled sample  

E-Print Network [OSTI]

THE EFFECT OF CONDITIONING RICE DURING THE LABORATORY MILLING PROCESS ON THE QUALITY OF THE MILLED SAMPLE A Thesis by ROY EUGENE CHILDERS, JR. Submitted to the Graduate College of Texas A8M University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE August 1972 Major Subject: Agricultural Engineering THE EFFECT OF CONDITIONING RICE DURING THE LABORATORY MILLING PROCESS ON THE I1UALITY OF THE MILLED SAMPLE A Thesis by ROY EUGENE CHILDERS, JR...

Childers, Roy Eugene

2012-06-07T23:59:59.000Z

76

Variations of Total Domination  

Science Journals Connector (OSTI)

The study of locatingdominating sets in graphs was pioneered by Slater[186, 187...], and this concept was later extended to total domination in graphs. A locatingtotal dominating set, abbreviated LTD-set, in G

Michael A. Henning; Anders Yeo

2013-01-01T23:59:59.000Z

77

Total Crude by Pipeline  

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

Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 2007 2008 2009 2010 2011 2012 View

78

Recycling of water in bleached kraft pulp mills by using electrodialysis.  

SciTech Connect (OSTI)

Conservation of water in bleached kraft pulp mills by recycling the bleach plant effluent directly without treatment will cause accumulation of inorganic ''non-process elements'' (NPEs) and serious operational problems. In this work, an electrodialysis process is being developed for recycling the acidic bleach plant effluent of bleached kraft pulp mills. In this process, electrodialysis functions as a selective kidney to remove inorganic NPEs from bleach plant effluents, before they reach the recovery cycle. Acidic bleach plant effluents from several mills using bleaching sequences based on chlorine dioxide were characterized. The total dissolved solids were mostly inorganic NPEs. Sodium was the predominant cation and chloride was present at significant levels in all these effluents. In laboratory electrodialysis experiments, selective removal of chloride and potentially harmful cations, such as potassium, calcium, and magnesium, were removed efficiently. Rejection of organic compounds was up to 98%. Electrodialysis was shown to be resistant to membrane fouling and scaling, in a 100-hour laboratory experiment. Based on a model mill with 1,000 ton/day pulp production, the economic analysis suggests that the energy cost of electrodialysis is less than $200/day, and the capital cost of the stack is about $500,000.

Fracaro, A. T.; Henry, M. P.; Pfromm, P.; Tsai, S.-P.

1999-01-15T23:59:59.000Z

79

Total Space Heat-  

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

Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration...

80

Geothermal Mill Redevelopment Project in Massachusetts  

SciTech Connect (OSTI)

Anwelt Heritage Apartments, LLC redeveloped a 120-year old mill complex into a mixed-use development in a lower-income neighborhood in Fitchburg, Massachusetts. Construction included 84 residential apartments rented as affordable housing to persons aged 62 and older. The Department of Energy (DOE) award was used as an essential component of financing the project to include the design and installation of a 200 ton geothermal system for space heating and cooling.

Vale, A.Q.

2009-03-17T23:59:59.000Z

Note: This page contains sample records for the topic "oilseed milling total" 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

Corn Wet Milling: Separation Chemistry and Technology  

Science Journals Connector (OSTI)

Publisher Summary This chapter focuses on the separation chemistry and technology of corn wet milling. The purpose of corn wet milling is to separate the kernel into its constituent chemical components. Wet milling processing begins with steeping whole kernel corn in an aqueous solution of sulfur dioxide and lactic acid (produced by microorganisms) at 50C for 2448 hours. The corn is then coarsely ground and the lipid-containing germ and fibrous hull portions are separated. After the remaining components are more finely ground, the starch and protein are separated using hydrocyclones, essentially continuous centrifuges; corn starch is slightly denser than corn protein. Germ is further processed into oil and the protein and fiber components are usually blended and used as animal feeds. The wet starch is either dried, chemically modified to change its functional properties, converted into intermediate-sized glucose polymers, or fully depolymerized into sugars. Starch is also often used as a raw ingredient for adjacent processing facilities that produce ethanol or other alcohols and other industrial chemicals.

David S. Jackson; Donald L. Shandera Jr.

1995-01-01T23:59:59.000Z

82

DOE - Office of Legacy Management -- Edgemont Mill Site - SD 01  

Office of Legacy Management (LM)

Edgemont Mill Site - SD 01 Edgemont Mill Site - SD 01 FUSRAP Considered Sites Site: Edgemont Mill Site (SD.01) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Edgemont, South Dakota, Disposal Site Documents Related to Edgemont Mill Site 2012 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title II Disposal Sites-Edgemont, South Dakota, Disposal Site. LMS/S09415. November 2012 U.S. Department of Energy 2008 UMTRCA Title II Sites Annual Report November 2008 Edgemont, South Dakota FACT SHEET Office of Legacy Management Edgemont, South Dakota, Disposal Site This fact sheet provides information about the Uranium Mill

83

Treatment of pulp mill sludges by supercritical water oxidation  

SciTech Connect (OSTI)

Supercritical water oxidation (SCWO) is new process that can oxidize organics very effectively at moderate temperatures (400 to 650{degree}C) and high pressure (3700 psi). It is an environmentally acceptable alternative for sludge treatment. In bench scale tests, total organic carbon (TOC) and total organic halide (TOX) reductions of 99 to 99.9% were obtained; dioxin reductions were 95 to 99.9%. A conceptual design for commercial systems has been completed and preliminary economics have been estimated. Comparisons confirm that SCWO is less costly than dewatering plus incineration for treating pulp mill sludges. SCWO can also compete effectively with dewatering plus landfilling where tipping fees exceed $35/yd{sup 3}. In some regions of the US, tipping fees are now $75/yd{sup 3} and rising steadily. In the 1995 to 2000 time frame, SCWO has a good chance of becoming the method of choice. MODEC's objective is to bring the technology to commercial availability by 1993. 10 refs., 6 figs., 19 tabs.

Modell, M.

1990-07-01T23:59:59.000Z

84

Raw Cotton Requirements of Textile Mills: Implications for Southwestern Cotton.  

E-Print Network [OSTI]

B-1072 December 1967 Raw Cotton Requirements of Tmtile Mills Implications for Southwestern Cotton TEXAS A&M UNIVERSITY TEXAS AGRICULTURAL EXPERIMENT STATION H. 0. Kunkel, Acting Director, College Station, Texas Summary During the summer... inch averaged 3.8 million bales. During this same period, annual domestic mill consumption of cotton under 1 inch ranged from 1.2 to 1.6 million bales. Exports of this cotton have remained at approximately the same level as domestic mill...

Graves, James W. (James Wilson)

1967-01-01T23:59:59.000Z

85

DOE - Office of Legacy Management -- Falls City Mill Site - TX...  

Office of Legacy Management (LM)

Control Act Title I Disposal Sites-Falls City, Texas, Disposal Site. LMSS10631. March 2014 Baseline Risk Assessment of Ground Water Contamination at the Uranium Mill Tailings...

86

DOE - Office of Legacy Management -- Cincinnati Milling and Machining...  

Office of Legacy Management (LM)

of Ohio Memorandum; Ruhe to Quigley; Subject: Trip Report to Cincinnati Milling Machine Company, Cincinnati, Ohio on September 17, 1963; October 7, 1963 OH.25-2 - DOE...

87

Comments of Mille Lacs Energy Cooperative | Department of Energy  

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

the National Broadband Plan by Studying the Communications Requirements of Electric Utilities to Inform Federal Smart Grid Policy Comments of Mille Lacs Energy Cooperative More...

88

Engineering assessment of inactive uranium mill tailings  

SciTech Connect (OSTI)

The Grand Junction site has been reevaluated in order to revise the October 1977 engineering assessment of the problems resulting from the existence of radioactive uranium mill tailings at Grand Junction, Colorado. This engineering assessment has included the preparation of topographic maps, the performance of core drillings and radiometric measurements sufficient to determine areas and volumes of tailings and radiation exposures of individuals and nearby populations, the investigations of site hydrology and meteorology, and the evaluation and costing of alternative corrective actions. Radon gas released from the 1.9 million tons of tailings at the Grand Junction site constitutes the most significant environmental impact, although windblown tailings and external gamma radiation are also factors. The eight alternative actions presented herein range from millsite and off-site decontamination with the addition of 3 m of stabilization cover material (Option I), to removal of the tailings to remote disposal sites and decontamination of the tailings site (Options II through VIII). Cost estimates for the eight options range from about $10,200,000 for stabilization in-place to about $39,500,000 for disposal in the DeBeque area, at a distance of about 35 mi, using transportation by rail. If transportation to DeBeque were by truck, the cost estimated to be about $41,900,000. Three principal alternatives for the reprocessing of the Grand Junction tailings were examined: (a) heap leaching; (b) treatment at an existing mill; and (c) reprocessing at a new conventional mill constructed for tailings reprocessing. The cost of the uranium recovered would be about $200/lb by heap leach and $150/lb by conventional plant processes. The spot market price for uranium was $25/lb early in 1981. Therefore, reprocessing the tailings for uranium recovery appears not to be economically attractive.

Not Available

1981-07-01T23:59:59.000Z

89

Feeding Corn Milling Byproducts to Feedlot Cattle  

Science Journals Connector (OSTI)

Corn milling byproducts are expected to increase dramatically in supply as the ethanol industry expands. Distillers grains, corn gluten feed, or a combination of both byproducts offer many feeding options when included in feedlot rations. These byproduct feeds may effectively improve cattle performance and operation profitability. When these byproducts are fed in feedlot diets, adjustments to grain processing method and roughage level may improve cattle performance. Innovative storage methods for wet byproducts and the use of dried byproducts offer small operations flexibility when using byproducts. As new byproducts are developed by ethanol plants, they should be evaluated with performance data to determine their product-specific feeding values.

Terry J. Klopfenstein; Galen E. Erickson; Virgil R. Bremer

2007-01-01T23:59:59.000Z

90

Subsidiary condition for Yang-Mills theory  

Science Journals Connector (OSTI)

A subsidiary condition for Yang-Mills theory is given. A prescription is proposed for using such a subsidiary condition to eliminate unphysical degrees of freedom from gauge theories in covariant gauges. It is pointed out that elimination of such unphysical modes can generate explicit nonlocal interactions among particles in the physical subspace. The Coulomb interactions among charged particles in QED is one such nonlocal interaction that can be generated in this way. It is argued that confining forces among color-bearing combinations of quarks and transverse gluons in QCD might be another.

Kurt Haller

1983-12-15T23:59:59.000Z

91

21 briefing pages total  

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

briefing pages total p. 1 briefing pages total p. 1 Reservist Differential Briefing U.S. Office of Personnel Management December 11, 2009 p. 2 Agenda - Introduction of Speakers - Background - References/Tools - Overview of Reservist Differential Authority - Qualifying Active Duty Service and Military Orders - Understanding Military Leave and Earnings Statements p. 3 Background 5 U.S.C. 5538 (Section 751 of the Omnibus Appropriations Act, 2009, March 11, 2009) (Public Law 111-8) Law requires OPM to consult with DOD Law effective first day of first pay period on or after March 11, 2009 (March 15 for most executive branch employees) Number of affected employees unclear p. 4 Next Steps

92

Barge Truck Total  

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

Barge Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over total shipments Year (nominal) (real) (real) (percent) (nominal) (real) (real) (percent) 2008 $6.26 $5.77 $36.50 15.8% 42.3% $6.12 $5.64 $36.36 15.5% 22.2% 2009 $6.23 $5.67 $52.71 10.8% 94.8% $4.90 $4.46 $33.18 13.5% 25.1% 2010 $6.41 $5.77 $50.83 11.4% 96.8% $6.20 $5.59 $36.26 15.4% 38.9% Annual Percent Change First to Last Year 1.2% 0.0% 18.0% - - 0.7% -0.4% -0.1% - - Latest 2 Years 2.9% 1.7% -3.6% - - 26.6% 25.2% 9.3% - - - = No data reported or value not applicable STB Data Source: The Surface Transportation Board's 900-Byte Carload Waybill Sample EIA Data Source: Form EIA-923 Power Plant Operations Report

93

Summary Max Total Units  

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

Max Total Units Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water Refrig Voltage Cond Unit IF-CU Combos 2 4 5 28 References Refrig Voltage C-U type Compressor HP R-404A 208/1/60 Hermetic SA 2.5 R-507 230/1/60 Hermetic MA 2.5 208/3/60 SemiHerm SA 1.5 230/3/60 SemiHerm MA 1.5 SemiHerm HA 1.5 1000lb, remote rack systems, fresh water Refrig/system Voltage Combos 12 2 24 References Refrig/system Voltage IF only

94

Total Precipitable Water  

SciTech Connect (OSTI)

The simulation was performed on 64K cores of Intrepid, running at 0.25 simulated-years-per-day and taking 25 million core-hours. This is the first simulation using both the CAM5 physics and the highly scalable spectral element dynamical core. The animation of Total Precipitable Water clearly shows hurricanes developing in the Atlantic and Pacific.

None

2012-01-01T23:59:59.000Z

95

Total Sustainability Humber College  

E-Print Network [OSTI]

1 Total Sustainability Management Humber College November, 2012 SUSTAINABILITY SYMPOSIUM Green An Impending Global Disaster #12;3 Sustainability is NOT Climate Remediation #12;Our Premises "We cannot, you cannot improve it" (Lord Kelvin) "First rule of sustainability is to align with natural forces

Thompson, Michael

96

Grinding media oscillation: effect on torsional vibrations in tumble mills  

E-Print Network [OSTI]

of oscillation of grinding media on torsional vibrations of the mill. A theoretical model was developed to determine the oscillating frequency of the grinding media. A 12" (0.3 m) diameter tumble mill test rig was built with a 0.5 hp DC motor. The rig is tested...

Toram, Kiran Kumar

2005-11-01T23:59:59.000Z

97

Tons of Heavy Metals in Mill Creek Sediments Heather Freeman  

E-Print Network [OSTI]

objectives for this summer research were to: 1.) determine how much heavy metal pollution has accumulatedTons of Heavy Metals in Mill Creek Sediments Heather Freeman 8/30/99 Geology Department Advisors: Dr. Kees DeJong Dr. Barry Manyard Dr. David Nash #12;Tons of heavy metals in Mill Creek sediments

Maynard, J. Barry

98

Rapid nutrient determination of sugarcane milling by-products using near infrared spectroscopy.  

E-Print Network [OSTI]

??This thesis investigates the use of near infrared (NIR) spectroscopic methods for rapid measurement of nutrient elements in mill mud and mill ash. Adoption of (more)

Keeffe, Eloise Caitlin

2013-01-01T23:59:59.000Z

99

EIS-0198: Uranium Mill Tailings Remedial Action Groundwater Project |  

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

198: Uranium Mill Tailings Remedial Action Groundwater Project 198: Uranium Mill Tailings Remedial Action Groundwater Project EIS-0198: Uranium Mill Tailings Remedial Action Groundwater Project SUMMARY This EIS assesses the potential programmatic impacts of conducting the Ground Water Project, provides a method for determining the site-specific ground water compliance strategies, and provides data and information that can be used to prepare site-specific environmental impacts analyses more efficiently. PUBLIC COMMENT OPPORTUNITIES None available at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD April 28, 1997 EIS-0198: Record of Decision Uranium Mill Tailings Remedial Action (UMTRA) Ground Water Project (April 1997) December 1, 1996 EIS-0198: Programmatic Environmental Impact Statement Uranium Mill Tailings Remedial Action (UMTRA) Ground Water Project

100

Moab Mill Tailings Removal Project Celebrates 5 Years of Success |  

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

Mill Tailings Removal Project Celebrates 5 Years of Success Mill Tailings Removal Project Celebrates 5 Years of Success Moab Mill Tailings Removal Project Celebrates 5 Years of Success October 3, 2012 - 12:00pm Addthis Pictured here is the Moab uranium mill tailings pile. Tailings excavation and conditioning activities are seen in the foreground. The water spray is used to eliminate extracted contaminated groundwater. Pictured here is the Moab uranium mill tailings pile. Tailings excavation and conditioning activities are seen in the foreground. The water spray is used to eliminate extracted contaminated groundwater. Moab Federal Project Director Donald Metzler stands on a final cover layer of the disposal cell. Several other layers are visible behind him. Moab Federal Project Director Donald Metzler stands on a final cover layer

Note: This page contains sample records for the topic "oilseed milling total" 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

DOE - Office of Legacy Management -- Uravan Mill Site - CO 02  

Office of Legacy Management (LM)

Uravan Mill Site - CO 02 Uravan Mill Site - CO 02 FUSRAP Considered Sites Site: Uravan Mill Site (CO.02 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Naturita, Colorado, Processing Site Documents Related to Uravan Mill Site Data Validation Package for the July and October 2008 Water Sampling at the Naturita Processing and Disposal Sites Data Validation Report for the July 2009 Groundwater and Surface Water Sampling at the Naturita, Colorado, Processing Site; LMS/NAP/S00709; October 2009 2012 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites-Naturita, Colorado,

102

Moab Mill Tailings Removal Project Celebrates 5 Years of Success |  

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

Moab Mill Tailings Removal Project Celebrates 5 Years of Success Moab Mill Tailings Removal Project Celebrates 5 Years of Success Moab Mill Tailings Removal Project Celebrates 5 Years of Success October 3, 2012 - 12:00pm Addthis Pictured here is the Moab uranium mill tailings pile. Tailings excavation and conditioning activities are seen in the foreground. The water spray is used to eliminate extracted contaminated groundwater. Pictured here is the Moab uranium mill tailings pile. Tailings excavation and conditioning activities are seen in the foreground. The water spray is used to eliminate extracted contaminated groundwater. Moab Federal Project Director Donald Metzler stands on a final cover layer of the disposal cell. Several other layers are visible behind him. Moab Federal Project Director Donald Metzler stands on a final cover layer

103

Total isomerization gains flexibility  

SciTech Connect (OSTI)

Isomerization extends refinery flexibility to meet changing markets. TIP (Total Isomerization Process) allows conversion of paraffin fractions in the gasoline boiling region including straight run naptha, light reformate, aromatic unit raffinate, and hydrocrackate. The hysomer isomerization is compared to catalytic reforming. Isomerization routes are graphed. Cost estimates and suggestions on the use of other feedstocks are given. TIP can maximize gas production, reduce crude runs, and complement cat reforming. In four examples, TIP reduces reformer severity and increases reformer yield.

Symoniak, M.F.; Holcombe, T.C.

1983-05-01T23:59:59.000Z

104

Released: March 2013  

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

3 Electricity: Components of Onsite Generation, 2010;" 3 Electricity: Components of Onsite Generation, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Onsite-Generation Components;" " Unit: Million Kilowatthours." " "," ",,,"Renewable Energy" " "," ",,,"(excluding Wood" "NAICS"," ","Total Onsite",,"and" "Code(a)","Subsector and Industry","Generation","Cogeneration(b)","Other Biomass)(c)","Other(d)" ,,"Total United States" 311,"Food",5666,5414,81,171 3112," Grain and Oilseed Milling",3494,3491,"Q",2

105

Released: October 2009  

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

5 Electricity: Sales to Utility and Nonutility Purchasers, 2006;" 5 Electricity: Sales to Utility and Nonutility Purchasers, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Utility and Nonutility Purchasers;" " Unit: Million Kilowatthours." " "," " " "," ","Total of" "NAICS"," ","Sales and","Utility","Nonutility" "Code(a)","Subsector and Industry","Transfers Offsite","Purchaser(b)","Purchaser(c)" ,,"Total United States" 311,"Food",111,86,25 3112," Grain and Oilseed Milling",72,51,21

106

Released: March 2013  

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

5 Electricity: Sales to Utility and Nonutility Purchasers, 2010;" 5 Electricity: Sales to Utility and Nonutility Purchasers, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Utility and Nonutility Purchasers;" " Unit: Million Kilowatthours." " "," " " "," ","Total of" "NAICS"," ","Sales and","Utility","Nonutility" "Code(a)","Subsector and Industry","Transfers Offsite","Purchaser(b)","Purchaser(c)" ,,"Total United States" 311,"Food",347,168,179 3112," Grain and Oilseed Milling",142,6,136

107

Mille Lacs Energy Cooperative | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Jump to: navigation, search Name Mille Lacs Energy Cooperative Place Minnesota Utility Id 12546 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes ISO MISO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Dual Fuel Space Heating Rate Electric Combination Heating Rate Freedom Heating Rate Residential General Service Residential Green Power Energy Large Power Commercial Large Power - Industrial Industrial Light - 100 watt HPS Lighting Light - 150 watt HPS Lighting Off-Peak Energy Rate Residential Peak Shave Water Heating Rate Residential

108

Potential for reducing paper mill energy use and carbon dioxide emissions through plant-wide energy audits: A case study in China  

Science Journals Connector (OSTI)

The pulp and paper industry is one of the most energy-intensive industries worldwide. In 2007, it accounted for 5% of total global industrial energy consumption and 2% of direct industrial carbon dioxide (CO2) emissions. An energy audit is a primary step toward improving energy efficiency at the facility level. This paper describes a plant-wide energy audit aimed at identifying energy conservation and CO2 mitigation opportunities at a paper mill in Guangdong province, China. We describe the energy audit methods, relevant Chinese standards, methods of calculating energy and carbon indicators, baseline energy consumption and CO2 emissions of the audited paper mill, and nine energy-efficiency improvement opportunities identified by the audit. For each of the nine options, we evaluate the energy conservation and associated CO2 mitigation potential. The total technical energy conservation potential for these nine opportunities is 967.8terajoules (TJ), and the total CO2 mitigation potential is equal to 93,453tonnes CO2 annually, representing 14.4% and 14.7%, respectively, of the mills total energy consumption and CO2 emissions during the audit period.

Lingbo Kong; Lynn Price; Ali Hasanbeigi; Huanbin Liu; Jigeng Li

2013-01-01T23:59:59.000Z

109

KNIFE MILL COMMINUTION ENERGY ANALYSIS OF SWITCHGRASS, WHEAT STRAW, AND CORN STOVER AND CHARACTERIZATION OF PARTICLE SIZE DISTRIBUTIONS  

SciTech Connect (OSTI)

Biomass preprocessing and pretreatment technologies such as size reduction and chemical preconditioning are aimed at reducing the cost of ethanol production from lignocellulosic biomass. Size reduction is an energy-intensive biomass preprocessing unit operation. In this study, switchgrass, wheat straw, and corn stover were chopped in an instrumented knife mill to evaluate size reduction energy and corresponding particle size distribution as determined with a standard forage sieve analyzer. Direct mechanical power inputs were determined using a dedicated data acquisition system for knife mill screen openings from 12.7 to 50.8 mm, rotor speeds between 250 and 500 rpm, and mass feed rates from 1 to 11 kg/min. A speed of 250 rpm gave optimum performance of the mill. Optimum feed rates for 25.4 mm screen and 250 rpm were 7.6, 5.8, and 4.5 kg/min for switchgrass, wheat straw, and corn stover, respectively. Total specific energy (MJ/Mg) was defined as the size reduction energy required to operate the knife mill plus that imparted to the biomass. Effective specific energy was defined as the energy imparted to the biomass. For these conditions, total specific energies were 27.3, 37.9, and 31.9 MJ/Mg and effective specific energies were 10.1, 15.5, and 3.2 MJ/Mg for switchgrass, wheat straw, and corn stover, respectively. These results demonstrated that biomass selection affects the size reduction energy, even for biomass with similar features. Second-order polynomial equations for the total specific energy requirement fitted well (R2 > 0.95) as a function of knife mill screen size, mass feed rate, and speed for biomass materials tested. The Rosin-Rammler equation fitted the cumulative undersize mass of switchgrass, wheat straw, and corn stover chop passed through ASABE sieves with high R2 (>0.983). Knife mill chopping of switchgrass, wheat straw, and corn stover resulted in particle size distributions classified as 'well-graded strongly fine-skewed mesokurtic', 'well-graded fine-skewed mesokurtic', and 'well-graded fine-skewed mesokurtic', respectively, for small knife mill screen sizes (12.7 to 25.4 mm) and distributions classified as 'well-graded fine-skewed mesokurtic', 'well-graded strongly fine-skewed mesokurtic', and 'well-graded fine-skewed mesokurtic', respectively, for the large screen size (50.8 mm). Total and effective specific energy values per unit size reduction of wheat straw were greater compared to those for switchgrass. Corn stover resulted in reduced total and effective specific energy per unit size reduction compared to wheat straw for the same operating conditions, but higher total specific energy per unit size reduction and lesser effective specific energy per unit size reduction compared to switchgrass. Data on minimized total specific energy with corresponding particle spectra will be useful for preparing feed material with a knife mill for subsequent grinding with finer size reduction devices.

Bitra, V.S.P. [University of Tennessee, Knoxville (UTK); Womac, A.R. [University of Tennessee, Knoxville (UTK); Sokhansanj, Shahabaddine [ORNL; Igathinathane, C. [North Dakota State University

2010-01-01T23:59:59.000Z

110

Total Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

111

Determination of Total Solids in Biomass and Total Dissolved...  

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

Total Solids in Biomass and Total Dissolved Solids in Liquid Process Samples Laboratory Analytical Procedure (LAP) Issue Date: 3312008 A. Sluiter, B. Hames, D. Hyman, C. Payne,...

112

Dams, Mills, and Electric Power (Missouri) | Department of Energy  

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

Mills, and Electric Power (Missouri) Mills, and Electric Power (Missouri) Dams, Mills, and Electric Power (Missouri) < Back Eligibility Commercial Industrial Institutional Investor-Owned Utility Local Government Municipal/Public Utility Retail Supplier Rural Electric Cooperative State/Provincial Govt Tribal Government Utility Savings Category Water Buying & Making Electricity Home Weatherization Program Info State Missouri Program Type Siting and Permitting Provider Missouri Department of Natural Resources The Water Resources Center of the Missouri Department of Natural Resources is responsible for implementing regulations pertaining to dam and reservoir safety. Any person or corporation may erect a dam across any watercourse, provided that: (a) the entity is chartered to construct, operate and

113

Controlling a Steel Mill with BOXES Michael McGarity, Claude Sammut and David Clements  

E-Print Network [OSTI]

Controlling a Steel Mill with BOXES Michael McGarity, Claude Sammut and David Clements and Chambers (1968) to a large-scale, real-world problem, namely, learning to control a steel mill. By applying BOXES to a model of a skinpass mill (a type of steel mill), we find that the BOXES algorithm can be made

Sammut, Claude

114

Microfiltration of gluten processing streams from corn wet milling C.I. Thompson a  

E-Print Network [OSTI]

Microfiltration of gluten processing streams from corn wet milling C.I. Thompson a , K.D. Rausch b 2005; accepted 6 February 2005 Available online 12 April 2005 Abstract In corn wet milling, dry matter composition; Corn processing; Membrane filtration; Corn gluten meal; Wet milling 1. Introduction Wet milling

115

96 CEREAL CHEMISTRY Comparison Between Alkali and Conventional Corn Wet-Milling: 100-g Procedures  

E-Print Network [OSTI]

96 CEREAL CHEMISTRY Comparison Between Alkali and Conventional Corn Wet-Milling: 100-g Procedures S ABSTRACT Cereal Chem. 76(1):96-99 A corn wet-milling process in which alkali was used was studied as an alternative to the conventional corn wet-milling procedure. In the alkali wet-milling process, corn was soaked

116

Total Marketed Production ..............  

Gasoline and Diesel Fuel Update (EIA)

billion cubic feet per day) billion cubic feet per day) Total Marketed Production .............. 68.95 69.77 70.45 71.64 71.91 71.70 71.46 71.57 72.61 72.68 72.41 72.62 70.21 71.66 72.58 Alaska ......................................... 1.04 0.91 0.79 0.96 1.00 0.85 0.77 0.93 0.97 0.83 0.75 0.91 0.93 0.88 0.87 Federal GOM (a) ......................... 3.93 3.64 3.44 3.82 3.83 3.77 3.73 3.50 3.71 3.67 3.63 3.46 3.71 3.70 3.62 Lower 48 States (excl GOM) ...... 63.97 65.21 66.21 66.86 67.08 67.08 66.96 67.14 67.92 68.18 68.02 68.24 65.58 67.07 68.09 Total Dry Gas Production .............. 65.46 66.21 66.69 67.79 68.03 67.83 67.61 67.71 68.69 68.76 68.50 68.70 66.55 67.79 68.66 Gross Imports ................................ 8.48 7.60 7.80 7.95 8.27 7.59 7.96 7.91 7.89 7.17 7.61 7.73 7.96 7.93 7.60 Pipeline ........................................

117

East Millinocket Mill Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Millinocket Mill Biomass Facility Millinocket Mill Biomass Facility Jump to: navigation, search Name East Millinocket Mill Biomass Facility Facility East Millinocket Mill Sector Biomass Location Penobscot County, Maine Coordinates 45.3230777°, -68.5806727° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.3230777,"lon":-68.5806727,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

118

DOE - Office of Legacy Management -- Marion Mill Site - CO 09  

Office of Legacy Management (LM)

Marion Mill Site - CO 09 Marion Mill Site - CO 09 FUSRAP Considered Sites Site: MARION MILL SITE (CO.09 ) Eliminated from further consideration under FUSRAP - deferred to the State of Colorado for appropriate action. Designated Name: Not Designated Alternate Name: None Location: Sugar Leaf Road , Boulder , Colorado CO.09-1 Evaluation Year: Circa 1983 CO.09-1 Site Operations: Milled and processed thorite and other rare earth ores in 1957 and 1958. Some of the thorium concentrate produced was shipped to Davison Chemical Company for further processing. CO.09-1 CO.09-3 Site Disposition: Eliminated - Site was licensed by AEC and the State of Colorado CO.09-2 CO.09-3 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Thorium, Natural Uranium, Other Rare Earth Ores CO.09-1

119

Milling Machine Replacement Project (4587), 5/11/2012  

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

Milling Machine Replacement Projects (4587) Milling Machine Replacement Projects (4587) Program or Field Office: Y-12 Site Office Location(s) (City/County/State): Oak Ridge, Anderson County, Tennessee Proposed Action Description: Submit by E-mail The proposed action is to replace two large milling machines with two new medium sized CNC milling machines. The new machines will be connected to the digital network communication (DNC) system. Categorical Exclusion(s) Applied: 81.31 -Installation or relocation of machinery and equipment For the complete DOE National Environmental Policy Act regulations regarding categorical exclusions, including the full text of each categorical exclusion, see Subpart D of 10 CFR Part 1021. Regulatory Requirements in 10 CFR 1021.410(b): (See full text in regulation)

120

Enhanced Dispersion from Tall Stacks Near Modern Wind Mills  

Science Journals Connector (OSTI)

Dispersion modeling of emissions from tall stacks is often done with regulatory models, based on the Gaussian plume concept. When the plumes of tall stacks are influenced by the turbulence of nearby wind mills, t...

J. J. Erbrink; Luc Verhees

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oilseed milling total" 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

A hybrid type small 5-axis CNC milling machine  

E-Print Network [OSTI]

5-axis CNC milling machines are important in a number of industries ranging from aerospace to consumer-die-mold machining because they can deliver high machining accuracy with a spindle tilting capacity. Most of these ...

Son, Seung-Kil, 1964-

2002-01-01T23:59:59.000Z

122

THE PERRYMAN GROUP 510 N. Valley Mills Dr., Suite 300  

E-Print Network [OSTI]

THE PERRYMAN GROUP 510 N. Valley Mills Dr., Suite 300 Waco, TX 76710 ph. 254.751.9595, fax 254 by The Perryman Group Introduction The University of Texas at Arlington (UT Arlington or UTA) has long been

Huang, Haiying

123

Parametric Study of End Milling Glass Fibre Reinforced Composites  

SciTech Connect (OSTI)

This paper discusses the application of Taguchi 'Design of Experiment' method to investigate the effects of end milling parameters on machinability characteristics of unidirectional E-glass fibre reinforced polymer (GFRP) composites. A series of milling experiments were conducted using tungsten carbide end milling cutters at various spindle speeds, feed rates and depths of cut. Taguchi analysis was carried out and the signal to noise (S/N) ratio with analysis of variance (ANOVA) was employed to analyse the effects of those parameters on GFRP machinability. Overall, the results of the current investigations present some desirable combinations of the machining parameters that can further enhance the end milling machinability characteristics to suit the final requirements of the finished GFRP products.

Azmi, Azwan I.; Lin, Richard J. T.; Bhattacharyya, Debes [Centre for Advanced Composite Materials (CACM), Department of Mechanical Engineering, University of Auckland, Private Bag 92019, Auckland Mail Centre 1142, Auckland (New Zealand)

2011-01-17T23:59:59.000Z

124

Capture and Sequestration of CO2 at the Boise White Paper Mill  

SciTech Connect (OSTI)

This report documents the efforts taken to develop a preliminary design for the first commercial-scale CO2 capture and sequestration (CCS) project associated with biomass power integrated into a pulp and paper operation. The Boise Wallula paper mill is located near the township of Wallula in Southeastern Washington State. Infrastructure at the paper mill will be upgraded such that current steam needs and a significant portion of the current mill electric power are supplied from a 100% biomass power source. A new biomass power system will be constructed with an integrated amine-based CO2 capture plant to capture approximately 550,000 tons of CO2 per year for geologic sequestration. A customized version of Fluor Corporations Econamine Plus carbon capture technology will be designed to accommodate the specific chemical composition of exhaust gases from the biomass boiler. Due to the use of biomass for fuel, employing CCS technology represents a unique opportunity to generate a net negative carbon emissions footprint, which on an equivalent emissions reduction basis is 1.8X greater than from equivalent fossil fuel sources (SPATH and MANN, 2004). Furthermore, the proposed project will offset a significant amount of current natural gas use at the mill, equating to an additional 200,000 tons of avoided CO2 emissions. Hence, the total net emissions avoided through this project equates to 1,100,000 tons of CO2 per year. Successful execution of this project will provide a clear path forward for similar kinds of emissions reduction that can be replicated at other energy-intensive industrial facilities where the geology is suitable for sequestration. This project also represents a first opportunity for commercial development of geologic storage of CO2 in deep flood basalt formations. The Boise paper mill site is host to a Phase II pilot study being carried out under DOEs Regional Carbon Partnership Program. Lessons learned from this pilot study and other separately funded projects studying CO2 sequestration in basalts will be heavily leveraged in developing a suitable site characterization program and system design for permanent sequestration of captured CO2. The areal extent, very large thickness, high permeability in portions of the flows, and presence of multiple very low permeability flow interior seals combine to produce a robust sequestration target. Moreover, basalt formations are quite reactive with water-rich supercritical CO2 and formation water that contains dissolved CO2 to generate carbonate minerals, providing for long-term assurance of permanent sequestration. Sub-basalt sediments also exist at the site providing alternative or supplemental storage capacity.

B.P. McGrail; C.J. Freeman; G.H. Beeman; E.C. Sullivan; S.K. Wurstner; C.F. Brown; R.D. Garber; D. Tobin E.J. Steffensen; S. Reddy; J.P. Gilmartin

2010-06-16T23:59:59.000Z

125

Finite Action Yang-Mills Solutions on the Group Manifold  

E-Print Network [OSTI]

We demonstrate that the left (and right) invariant Maurer-Cartan forms for any semi-simple Lie group enable one to construct solutions of the Yang-Mills equations on the group manifold equipped with the natural Cartan-Killing metric. For the unitary unimodular groups the Yang-Mills action integral is finite for such solutions. This is explicitly exhibited for the case of $SU(3)$.

T Dereli; J Schray; Robin W Tucker

1996-05-17T23:59:59.000Z

126

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings* ........................... 3,037 115 397 384 52 1,143 22 354 64 148 357 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 386 19 43 18 11 93 7 137 8 12 38 5,001 to 10,000 .......................... 262 12 35 17 5 83 4 56 6 9 35 10,001 to 25,000 ........................ 407 20 46 44 8 151 3 53 9 19 54 25,001 to 50,000 ........................ 350 15 55 50 9 121 2 34 7 16 42 50,001 to 100,000 ...................... 405 16 57 65 7 158 2 29 6 18 45 100,001 to 200,000 .................... 483 16 62 80 5 195 1 24 Q 31 56 200,001 to 500,000 .................... 361 8 51 54 5 162 1 9 8 19 43 Over 500,000 ............................. 383 8 47 56 3 181 2 12 8 23 43 Principal Building Activity

127

A Process for the Aqueous Enzymatic Extraction of Corn Oil from Dry Milled Corn Germ and Enzymatic Wet Milled Corn Germ (E-Germ)  

Science Journals Connector (OSTI)

A bench-scale aqueous enzymatic method was developed to extract corn oil from corn germ from either a commercial corn dry mill or corn germ from a newly-developed experimental enzymatic wet milling process (E-Ger...

Robert A. Moreau; Leland C. Dickey

2009-05-01T23:59:59.000Z

128

Replacing chemicals in recycle mills with mechanical alternatives  

SciTech Connect (OSTI)

A high-intensity spark fired underwater decomposes a small amount of the water into hydroxyl radicals, which are strong oxidants. These are able to oxidize contaminants such as glue and wood pitch that enter paper recycling mills as a part of the incoming furnish and cost the industry several hundred million dollars. The sparking technique is safe, inexpensive, and is capable of treating large volumes of water, which makes it attractive for mill applications. Several mill trials were run. Sparking caused a decrease in the tack of the deposits in one case. Lower bleach use occurred in two other mills; sparking reduced the degree of ink reattachment to fiber. The payback for either application is attractive. Sparking induced deposition of contaminants in another mill, which is a positive development--if it can be controlled. The technique is also able to degas water and to oxidize odor-causing sulfur compounds. Although one unit has been purchased by a mill, second-order effects caused by the technology needs to be defined further before the technology can be broadly applied.

Institute of Paper Science Technology

2002-07-01T23:59:59.000Z

129

Grinding energy and physical properties of chopped and hammer-milled barley, wheat, oat, and canola straws  

SciTech Connect (OSTI)

In the present study, specific energy for grinding and physical properties of wheat, canola, oat and barley straw grinds were investigated. The initial moisture content of the straw was about 0.130.15 (fraction total mass basis). Particle size reduction experiments were conducted in two stages: (1) a chopper without a screen, and (2) a hammer mill using three screen sizes (19.05, 25.4, and 31.75 mm). The lowest grinding energy (1.96 and 2.91 kWh t-1) was recorded for canola straw using a chopper and hammer mill with 19.05-mm screen size, whereas the highest (3.15 and 8.05 kWh t-1) was recorded for barley and oat straws. The physical properties (geometric mean particle diameter, bulk, tapped and particle density, and porosity) of the chopped and hammer-milled wheat, barley, canola, and oat straw grinds measured were in the range of 0.984.22 mm, 3680 kg m-3, 49119 kg m-3, 6001220 kg m-3, and 0.90.96, respectively. The average mean particle diameter was highest for the chopped wheat straw (4.22-mm) and lowest for the canola grind (0.98-mm). The canola grinds produced using the hammer mill (19.05-mm screen size) had the highest bulk and tapped density of about 80 and 119 kg m-3; whereas, the wheat and oat grinds had the lowest of about 58 and 8890 kg m-3. The results indicate that the bulk and tapped densities are inversely proportional to the particle size of the grinds. The flow properties of the grinds calculated are better for chopped straws compared to hammer milled using smaller screen size (19.05 mm).

J.S. Tumuluru [Idaho National Laboratory (INL), Idaho Falls, ID (United States). Biofuels and Renewable Energy Technologies Dept.; L.G. Tabil [Univ. of Saskatchewan, Saskatoon, Saskatchewan (Canada). Dept. of Chemical and Biological Engineering; Y. Song [Shenyang Agricultural University (China). Coll. of Engineering; K.L. Iroba [Univ. of Saskatchewan, Saskatoon, Saskatchewan (Canada). Dept. of Chemical and Biological Engineering; V. Meda [Univ. of Saskatchewan, Saskatoon, Saskatchewan (Canada). Dept. of Chemical and Biological Engineering

2014-01-01T23:59:59.000Z

130

Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis  

SciTech Connect (OSTI)

Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

Ekechukwu, A.A.

2002-05-10T23:59:59.000Z

131

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

132

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

133

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Babb, MT Havre, MT Port of Morgan, MT Pittsburg, NH Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan Cameron, LA Kenai, AK Sabine Pass, LA Total to Mexico Douglas, AZ Nogales, AZ Calexico, CA Ogilby Mesa, CA Otay Mesa, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Hidalgo, TX McAllen, TX Penitas, TX Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to United Kingdom Sabine Pass, LA Period: Monthly Annual

134

Relation between total quanta and total energy for aquatic ...  

Science Journals Connector (OSTI)

Jan 22, 1974 ... havior of the ratio of total quanta to total energy (Q : W) within the spectral region of photosynthetic ..... For blue-green waters, where hRmax lies.

2000-01-02T23:59:59.000Z

135

Influence of drying temperature on the wet-milling performance and the proteins solubility indexes of corn kernels  

Science Journals Connector (OSTI)

The effects of air drying temperature on the wet-milling performance and the proteins solubility indexes were investigated for corn kernels dried between 54C and 130C. It was observed that when the drying temperature increases, the starch yield drops significantly. The gluten recovered increased abruptly for drying temperatures up to 80C. The albumin, globulin and zein solubility indexes decreased continuously when corn drying temperatures increased. According to the temperatures used, the starch yield, the gluten recovered and the salt-soluble proteins solubility indexes were adjusted satisfactorily by using a two asymptotic logistic model. This model has the advantage of supplying information on the dynamic of the variation of described parameters. The solubility index of total salt-soluble proteins was shown to be a suitable indicator of the severity of the drying treatment in regard to the corn wet-milling performance.

Paul Malumba; Sbastien Janas; Thadde Masimango; Mariane Sindic; Claude Deroanne; Franois Bra

2009-01-01T23:59:59.000Z

136

Regional impacts of uranium mining and milling employment decline: a preliminary appraisal  

SciTech Connect (OSTI)

The purpose of this report is to identify counties that have been significantly impacted by declining uranium employment and to gauge the relative severity of impacts upon different counties given the differing compositions of their economic bases. Colorado, New Mexico, Texas, Utah, and Wyoming have been identified as major uranium mining and milling states. Twenty-four major uranium mining and milling counties within these states lost an estimated total of 9400 jobs between 1980 and 1983 following the 1980 peak employment of approximately 15,700. Economic profiles for these 24 counties were prepared using an historical employment data base containing annual employment data for major economic sectors 1970 through 1983. Additionally, regression analysis was used to derive a mining employment impact multiplier of 2.5. This means that for every mining job lost, an additional 1.5 jobs are lost in the service sector. The historical growth experiences in other economic sectors for 16 of these counties have been such that the counties are unlikely to regain the lost uranium mining and milling jobs through growth in other basic employment sectors. These counties may experience an additional loss of 12.2 thousand service sector jobs through the multiplier effect of basic sector employment loss. The other eight uranium-producing counties should have sufficient growth opportunities in other basic sectors to enable them to retain existing service sector jobs. However, economic growth in these counties may not be as great as it would have been had the counties not lost the uranium employment. For both sets of counties, the downturn in the national economy in the early 1980s has compounded the local employment problem. 22 refs., 6 figs., 12 tabs.

Vogt, D.P.; Rizy, C.G.; Watson, R.A.

1985-07-01T23:59:59.000Z

137

Released: August 2009  

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

5 Relative Standard Errors for Table 3.5;" 5 Relative Standard Errors for Table 3.5;" " Unit: Percents." ,,,,,,,,"Waste",," " ,,,"Blast",,,"Pulping Liquor",,"Oils/Tars" "NAICS",,,"Furnace/Coke",,"Petroleum","or","Wood Chips,","and Waste" "Code(a)","Subsector and Industry","Total","Oven Gases","Waste Gas","Coke","Black Liquor","Bark","Materials" ,,"Total United States" , 311,"Food",9.1,"X",25,"X","X",6,55.6 3112," Grain and Oilseed Milling",8.9,"X",47.4,"X","X",0,0 311221," Wet Corn Milling",0,"X",0,"X","X",0,"X"

138

Moab Uranium Mill Tailings Cleanup Project Steps into Spotlight at  

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

Uranium Mill Tailings Cleanup Project Steps into Spotlight at Uranium Mill Tailings Cleanup Project Steps into Spotlight at International Meeting in Vienna Moab Uranium Mill Tailings Cleanup Project Steps into Spotlight at International Meeting in Vienna October 22, 2012 - 12:00pm Addthis Moab Federal Project Director Donald Metzler presents at the Uranium Mining Remediation Exchange Group meeting in Germany in September 2011. Moab Federal Project Director Donald Metzler presents at the Uranium Mining Remediation Exchange Group meeting in Germany in September 2011. Moab Federal Project Director Donald Metzler Moab Federal Project Director Donald Metzler Moab Federal Project Director Donald Metzler presents at the Uranium Mining Remediation Exchange Group meeting in Germany in September 2011. Moab Federal Project Director Donald Metzler

139

West Coast Paper Mills Ltd WCPML | Open Energy Information  

Open Energy Info (EERE)

Mills Ltd WCPML Mills Ltd WCPML Jump to: navigation, search Name West Coast Paper Mills Ltd. (WCPML) Place Dandeli, Karnataka, India Zip 581 325 Sector Biomass Product Dandeli based biomass project developers. Coordinates 15.25272°, 74.626404° 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":15.25272,"lon":74.626404,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

140

City of Lake Mills, Iowa (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Mills Mills Place Iowa Utility Id 10606 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes ISO MISO Yes Operates Generating Plant Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Commercial All Electric Commercial Industrial Electric Rate Industrial Residential Residential Average Rates Residential: $0.0988/kWh Commercial: $0.0948/kWh Industrial: $0.0786/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=City_of_Lake_Mills,_Iowa_(Utility_Company)&oldid=409818

Note: This page contains sample records for the topic "oilseed milling total" 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

DOE - Office of Legacy Management -- Loma Mill - CO 03  

Office of Legacy Management (LM)

Loma Mill - CO 03 Loma Mill - CO 03 FUSRAP Considered Sites Site: Loma Mill (CO.03 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: This site is one of a group of 77 FUSRAP considered sites for which few, if any records are available in their respective site files to provide an historical account of past operations and their relationship, if any, with MED/AEC operations. Reviews of contact lists, accountable station lists, health and safety records and other documentation of the period do not provide sufficient information to warrant further search of historical records for information on these sites. These site files remain "open" to

142

Mill Run Wind Power Project | Open Energy Information  

Open Energy Info (EERE)

Wind Power Project Wind Power Project Jump to: navigation, search Name Mill Run Wind Power Project Facility Mill Run Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer Atlantic Renewable Energy Energy Purchaser Exelon Location Mill Run PA Coordinates 39.921026°, -79.388666° 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":39.921026,"lon":-79.388666,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

143

Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Waste |  

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

Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Waste Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Waste December 6, 2011 - 3:57pm Addthis Dale and Sharon Borgford, small business owners in Stevens County, WA, break ground with Peter Goldmark, Washington State Commissioner of Public Lands. The pair brought more than 75 jobs to the area with help from DOE's State Energy Program and the U.S. Forest Service. | Photo courtesy of Washington DNR. Dale and Sharon Borgford, small business owners in Stevens County, WA, break ground with Peter Goldmark, Washington State Commissioner of Public Lands. The pair brought more than 75 jobs to the area with help from DOE's State Energy Program and the U.S. Forest Service. | Photo courtesy of

144

Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Waste |  

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

Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Waste Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Waste December 6, 2011 - 3:57pm Addthis Dale and Sharon Borgford, small business owners in Stevens County, WA, break ground with Peter Goldmark, Washington State Commissioner of Public Lands. The pair brought more than 75 jobs to the area with help from DOE's State Energy Program and the U.S. Forest Service. | Photo courtesy of Washington DNR. Dale and Sharon Borgford, small business owners in Stevens County, WA, break ground with Peter Goldmark, Washington State Commissioner of Public Lands. The pair brought more than 75 jobs to the area with help from DOE's State Energy Program and the U.S. Forest Service. | Photo courtesy of

145

Mechanical alloying of Si and Ge in a planetary ball mill: Milling parameters and microscopic evolution of alloy formation  

SciTech Connect (OSTI)

The external parameters geometry and frequency of a planetary ball mill were adjusted in order to minimize the duration of mechanically induced Si-Ge alloy formation. Experimental results were compared with theoretical calculations on impact energies and milling power. It was found that a planetary ball mill with a ratio of the planetary to the system wheel`s frequency of {minus}3 delivers the best milling performance for vial sizes between 0.2 and 0.33 that of the system wheel size. Microstructural investigations on powder compacts revealed that a solid state diffusion mechanism of Ge into the harder Si seems to be the responsible process for realizing a homogeneous Si-Ge alloy. Crystallite sizes of the processed powders were 30 nm. The knowledge of the influence of external milling parameters on the comminution and alloying behavior of substances and the resulting internal structure of the processed ingots may help in a future correlation between thermoelectrical properties and microstructure. {copyright} {ital 1995} {ital American} {ital Institute} {ital of} {ital Physics}.

Schilz, J.; Pixius, K.; Amend, W. [Institute of Materials Research, German Aerospace Research Establishment (DLR), Linder Hoehe, 51147 Koehn (Germany); Plate, M.; Meyer, H. [Retsch Co., Rheinische Str. 36, 42781 Haan (Germany)

1994-08-10T23:59:59.000Z

146

Instanton calculus, topological field theories and N = 2 super Yang-Mills theories  

Science Journals Connector (OSTI)

The results obtained by Seiberg and Witten for N = 2 supersymmetric theories with gauge group SU(2) are in agreement with instanton computations carried out for winding numbers one and two. This suggests that the instanton saddle point saturates the non-perturbative contribution to the functional integral. A natural framework in which corrections to this approximation are absent is given by the topological field theory built out of the N = 2 Super Yang-Mills theory. After extending the standard construction of the Topological Yang-Mills theory to encompass the case of a non-vanishing vacuum expectation value for the scalar field, a BRST transformation is defined (as a supersymmetry plus a gauge variation), which on the instanton moduli space is the exterior derivative. We then show that each non-perturbative contribution to the N = 2 low-energy effective action can be written as the integral of a total derivative of a function of the instanton moduli. Only instanton configurations of zero conformal size contribute to this result.

Diego Bellisai; Francesco Fucito; Gabriele Travaglini; Alessandro Tanzini

2000-01-01T23:59:59.000Z

147

Mujeres Hombres Total Hombres Total 16 5 21 0 10  

E-Print Network [OSTI]

Julio de 2011 Tipo de Discapacidad Sexo CENTRO 5-Distribución del estudiantado con discapacidad por centro, tipo de discapacidad, sexo y totales. #12;

Autonoma de Madrid, Universidad

148

Relation between total quanta and total energy for aquatic ...  

Science Journals Connector (OSTI)

Jan 22, 1974 ... ment of the total energy and vice versa. From a measurement of spectral irradi- ance ... unit energy (for the wavelength region specified).

2000-01-02T23:59:59.000Z

149

Mills, Dams, and Reservoirs (Massachusetts) | Department of Energy  

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

You are here You are here Home » Mills, Dams, and Reservoirs (Massachusetts) Mills, Dams, and Reservoirs (Massachusetts) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Water Buying & Making Electricity Home Weatherization Program Info State Massachusetts Program Type Siting and Permitting Provider Department of Conservation and Recreation This chapter of the Massachusetts General Laws outlines procedures to

150

Rockwell Automation & General Mills Teaming Profile | ENERGY STAR Buildings  

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

Rockwell Automation & General Mills Teaming Profile Rockwell Automation & General Mills Teaming Profile Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

151

Fermentation and chemical treatment of pulp and paper mill sludge  

DOE Patents [OSTI]

A method of chemically treating partially de-ashed pulp and/or paper mill sludge to obtain products of value comprising taking a sample of primary sludge from a Kraft paper mill process, partially de-ashing the primary sludge by physical means, and further treating the primary sludge to obtain the products of value, including further treating the resulting sludge and using the resulting sludge as a substrate to produce cellulase in an efficient manner using the resulting sludge as the only carbon source and mixtures of inorganic salts as the primary nitrogen source, and including further treating the resulting sludge and using the resulting sludge to produce ethanol.

Lee, Yoon Y; Wang, Wei; Kang, Li

2014-12-02T23:59:59.000Z

152

Detection of instabilities and transition in milling operation using wavelets  

E-Print Network [OSTI]

conditions was developed by Burney et al. (1977). During the 1980's the pnmary focus of the research in this area was on the dynamics of the cutting process and its modeling as indicated by Wu and Liu (1985a, 1985b) and Lauderbaugh and Ulsoy (1988). Tlusty... for the milling process that can be used to determine the cutting forces and surface finish under both rigid and dynamic cutting. Smith and Tlusty (1991) gave a good overview of the different models for the milling process. The 90's saw the advent of new...

Khurjekar, Parag Padmakar

2000-01-01T23:59:59.000Z

153

Dust size distribution and concentrations with cottonseed oil mills  

E-Print Network [OSTI]

-VOLUME SAMPLES FOR P. S. D OF PARTICLES & 100 um DIAMETER (MMD) ANALYSIS OF VARIANCE ON HIGH-VOLUME SAMPLES FOR P. S. D. OF PARTICLES & 100 um DIAMETER (og) MULTIPLE RANGE TEST FOR MEAN VALUES OF MMD BY AREA MULTIPLE RANGE TEST OF MMD BY MILL PARTICLE SIZE... TEST OF AREA DUST CONCENTRATIONS = 15 Pm IN DIAMETER MULTIPLE RANGE TEST OF MILL DUST CONCENTRATIONS & 15 um IN DIAMETER ANALYSIS OF VARIANCE ON PARTICLE SIZING HEAD SAMPLES OF CONCENTRATIONS FOR PARTICLES & 100 IJBI DIAMETER . . . . 47 47 54...

Wiederhold, Lee Roy

2012-06-07T23:59:59.000Z

154

DOE Moab Project Safely Removes 7 Million Tons of Mill Tailings  

Broader source: Energy.gov [DOE]

(Grand Junction, CO) ? The U.S. Department of Energy (DOE) has safely moved another million tons of uranium mill tailings from the Moab site in Utah under the Uranium Mill Tailings Remedial Action Project.

155

Condition Monitoring in End-Milling Using Wireless Sensor Networks (WSNs)  

E-Print Network [OSTI]

Estimation of tool wear during CNC milling using neuralsensors to a standard CNC machine tool. In related work, thehead of a Haas VF-0 20HP CNC 3-axis milling machine. The

Wright, Paul; Dornfeld, David; Ota, Nathan

2008-01-01T23:59:59.000Z

156

Analysis and Strategies for Five-Axis Near-Dry EDM Milling.  

E-Print Network [OSTI]

??Strategies for precision five-axis near-dry electric discharge machining (EDM) milling are investigated. By understanding the material removal process behind near-dry EDM milling, its performance can (more)

Fujiki, Masahiro

2009-01-01T23:59:59.000Z

157

Solution of symmetry equation and hierarchy of self dual Yang-Mills systems  

E-Print Network [OSTI]

The solution of symmetry equation of Yang-Mills self dual system is found in explicit form of its raising Hamiltonian operator. Thus explicit form of equations of self dual Yang Mills hierarchy is constructed.

A. N. Leznov

2008-02-11T23:59:59.000Z

158

Advanced Powerhouse Controls Save Pulp Mill $500 in Purchased Energy in First Month  

E-Print Network [OSTI]

This case study describes the application of advanced regulatory and supervisory controls to powerhouse operations at a large pulp mill in central British Columbia. Substantial reductions in mill operating costs were achieved by actively managing...

Morrison, R.; Hilder, S.

2004-01-01T23:59:59.000Z

159

Total.................................................................  

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

49.2 49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump................................ 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat Pump..................................... 12.3 0.4 2.2 2.9 2.5 1.5 1.0 1.8 Window/Wall Units........................................ 28.9 27.5 0.5 Q 0.3 Q Q Q 1 Unit......................................................... 14.5 13.5 0.3 Q Q Q N Q 2 Units.......................................................

160

Total........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0 For One Housing Unit................................... 42.9 1.5 Q 3.1 6.0 For Two Housing Units................................. 1.8 Q N Q Q Steam or Hot Water System............................. 8.2 1.9 Q Q 0.2 For One Housing Unit................................... 5.1 0.8 Q N Q For Two Housing Units.................................

Note: This page contains sample records for the topic "oilseed milling total" 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

Total........................................................................  

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

5.6 5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing Unit................................... 42.9 15.5 11.0 4.5 For Two Housing Units................................. 1.8 0.7 0.6 Q Steam or Hot Water System............................. 8.2 1.6 1.2 0.4 For One Housing Unit................................... 5.1 1.1 0.9 Q For Two Housing Units.................................

162

Total...........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump........................................... 53.5 8.7 3.2 5.5 With a Heat Pump............................................... 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit................................................................... 14.5 2.9 0.5 2.4 2 Units.................................................................

163

Total...........................................................  

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

Q Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005

164

Total....................................................................................  

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

Personal Computers Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.0 2.6 1.0 1.3 2 to 15 Hours............................................................. 29.1 10.3 5.9 1.6 2.9 16 to 40 Hours........................................................... 13.5 4.1 2.3 0.6 1.2 41 to 167 Hours.........................................................

165

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

,171 ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269 999 775 510 West North Central................................. 7.9 2,281 1,930 1,566 940 796 646 South.......................................................... 40.7 2,161 1,551 1,295 856 615 513 South Atlantic......................................... 21.7 2,243 1,607 1,359 896 642 543 East South Central.................................

166

Total.........................................................................................  

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

..... ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less than 2 Hours......................................................... 13.6 0.7 0.9 0.9 1.4 2 to 15 Hours................................................................. 29.1 1.7 2.1 1.9 3.4 16 to 40 Hours............................................................... 13.5 0.9 0.9 0.9 1.8 41 to 167 Hours.............................................................

167

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a Week....................................... 4.1 0.7 0.3 0.4 No Hot Meals Cooked........................................... 0.9 0.2 Q Q Conventional Oven Use an Oven......................................................... 109.6 23.7 7.5 16.2 More Than Once a Day..................................... 8.9 1.7 0.4 1.3 Once a Day.......................................................

168

Total..............................................................................  

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

0.7 0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump.............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................... 12.3 9.0 6.7 1.4 0.9 Window/Wall Units..................................................... 28.9 8.0 3.4 1.7 2.9 1 Unit......................................................................

169

Total....................................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5 Persons......................................................... 7.9 0.8 0.4 1.0 1.1 1.2 1.1 1.5 0.9 6 or More Persons........................................... 4.1 0.5 0.3 0.3 0.6 0.5 0.7 0.8 0.4 2005 Annual Household Income Category Less than $9,999............................................. 9.9 1.9 1.1 1.3 0.9 1.7 1.3 1.1 0.5 $10,000 to $14,999..........................................

170

Total....................................................................................  

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

25.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer.............................................. 75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 10.4 14.1 20.5 13.7 Laptop Model............................................................. 16.9 3.3 3.4 6.1 4.1 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.4 3.4 5.0 2.9 2 to 15 Hours............................................................. 29.1 5.2 7.0 10.3 6.6 16 to 40 Hours........................................................... 13.5 3.1 2.8 4.1 3.4 41 to 167 Hours.........................................................

171

Total....................................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.4 2.2 4.2 Use a Personal Computer.............................................. 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 13.7 4.2 9.5 Laptop Model............................................................. 16.9 4.1 1.1 3.0 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.9 0.9 2.0 2 to 15 Hours............................................................. 29.1 6.6 2.0 4.6 16 to 40 Hours........................................................... 13.5 3.4 0.9 2.5 41 to 167 Hours......................................................... 6.3

172

Total..................................................................  

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

33.0 33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Cooling Equipment..................... 17.8 6.5 1.6 0.9 1.3 2.4 0.2 Have Cooling Equipment................................. 93.3 26.5 6.5 2.5 4.6 12.0 1.0 Use Cooling Equipment.................................. 91.4 25.7 6.3 2.5 4.4 11.7 0.8 Have Equipment But Do Not Use it................. 1.9 0.8 Q Q 0.2 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 14.1 3.6 1.5 2.1 6.4 0.6 Without a Heat Pump.................................. 53.5 12.4 3.1 1.3 1.8 5.7 0.6 With a Heat Pump....................................... 12.3 1.7 0.6 Q 0.3 0.6 Q Window/Wall Units....................................... 28.9 12.4 2.9 1.0 2.5 5.6 0.4 1 Unit.......................................................... 14.5 7.3 1.2 0.5 1.4 3.9 0.2 2 Units.........................................................

173

Total....................................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.7 1.6 1.4 1.5 2 Times A Day.............................................................. 24.6 10.8 4.1 4.3 5.5 Once a Day................................................................... 42.3 17.0 7.2 8.7 9.3 A Few Times Each Week............................................. 27.2 11.4 4.7 6.4 4.8 About Once a Week..................................................... 3.9 1.7 0.6 0.9 0.8 Less Than Once a Week.............................................. 4.1 2.2 0.6 0.8 0.5 No Hot Meals Cooked................................................... 0.9 0.4 Q Q Q Conventional Oven Use an Oven................................................................. 109.6 46.2 18.8

174

Total...................................................................  

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

Single-Family Units Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business

175

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 2.1 1.8 0.3 Have Cooling Equipment............................................ 93.3 23.5 16.0 7.5 Use Cooling Equipment............................................. 91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it............................ 1.9 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 17.3 11.3 6.0 Without a Heat Pump............................................. 53.5 16.2 10.6 5.6 With a Heat Pump................................................. 12.3 1.1 0.8 0.4 Window/Wall Units.................................................. 28.9 6.6 4.9 1.7 1 Unit..................................................................... 14.5 4.1 2.9 1.2 2 Units...................................................................

176

Total..............................................................................  

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

20.6 20.6 25.6 40.7 24.2 Do Not Have Cooling Equipment................................ 17.8 4.0 2.1 1.4 10.3 Have Cooling Equipment............................................. 93.3 16.5 23.5 39.3 13.9 Use Cooling Equipment.............................................. 91.4 16.3 23.4 38.9 12.9 Have Equipment But Do Not Use it............................. 1.9 0.3 Q 0.5 1.0 Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 6.0 17.3 32.1 10.5 Without a Heat Pump.............................................. 53.5 5.5 16.2 23.2 8.7 With a Heat Pump................................................... 12.3 0.5 1.1 9.0 1.7 Window/Wall Units..................................................... 28.9 10.7 6.6 8.0 3.6 1 Unit......................................................................

177

Total....................................................................................  

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

5.6 5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer.................................. 35.5 8.1 5.6 2.5 Use a Personal Computer.............................................. 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 14.1 10.0 4.0 Laptop Model............................................................. 16.9 3.4 2.1 1.3 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 3.4 2.5 0.9 2 to 15 Hours............................................................. 29.1 7.0 4.8 2.3 16 to 40 Hours........................................................... 13.5 2.8 2.1 0.7 41 to 167 Hours......................................................... 6.3

178

Total...................................................................  

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

15.2 15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing Unit.............................. 3.3 2.9 Q Q Q N For Two Housing Units............................. 1.4 Q Q 0.5 0.8 N Central Warm-Air Furnace........................... 2.8 2.4 Q Q Q 0.2 Other Equipment......................................... 0.3 0.2 Q N Q N Wood..............................................................

179

Total...............................................................  

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

Do Not Have Cooling Equipment................. Do Not Have Cooling Equipment................. 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment.............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment............................... 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Air-Conditioning Equipment 1, 2 Central System............................................ 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units...................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit....................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units.....................................................

180

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.4 1.0 0.4 2 Times A Day...................................................... 24.6 5.8 3.5 2.3 Once a Day........................................................... 42.3 10.7 7.8 2.9 A Few Times Each Week...................................... 27.2 5.6 4.0 1.6 About Once a Week.............................................. 3.9 0.9 0.6 0.3 Less Than Once a Week....................................... 4.1 1.1 0.7 0.4 No Hot Meals Cooked........................................... 0.9 Q Q N Conventional Oven Use an Oven......................................................... 109.6 25.3 17.6 7.7 More Than Once a Day..................................... 8.9 1.3 0.8 0.5 Once a Day.......................................................

Note: This page contains sample records for the topic "oilseed milling total" 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

Total...............................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer ........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Number of Desktop PCs 1.......................................................... 50.3 8.3 14.2 11.4 7.2 9.2 5.3 14.2 2.......................................................... 16.2 0.9 2.6 3.7 2.9 6.2 0.8 2.6 3 or More............................................. 9.0 0.4 1.2 1.3 1.2 5.0 0.3 1.1 Number of Laptop PCs 1.......................................................... 22.5 2.2 4.6 4.5 2.9 8.3 1.4 4.0 2.......................................................... 4.0 Q 0.4 0.6 0.4 2.4 Q 0.5 3 or More............................................. 0.7 Q Q Q Q 0.4 Q Q Type of Monitor Used on Most-Used PC Desk-top

182

Total...............................................................  

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

20.6 20.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer ........... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......................... 75.6 13.7 17.5 26.6 17.8 Number of Desktop PCs 1.......................................................... 50.3 9.3 11.9 18.2 11.0 2.......................................................... 16.2 2.9 3.5 5.5 4.4 3 or More............................................. 9.0 1.5 2.1 2.9 2.5 Number of Laptop PCs 1.......................................................... 22.5 4.7 4.6 7.7 5.4 2.......................................................... 4.0 0.6 0.9 1.5 1.1 3 or More............................................. 0.7 Q Q Q 0.3 Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 7.9 11.4 15.4 10.2 Flat-panel LCD.................................

183

Total................................................................  

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

111.1 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Do Not Have Space Heating Equipment....... 1.2 0.5 0.3 0.2 Q 0.2 0.3 0.6 Have Main Space Heating Equipment.......... 109.8 26.2 28.5 20.4 13.0 21.8 16.3 37.9 Use Main Space Heating Equipment............ 109.1 25.9 28.1 20.3 12.9 21.8 16.0 37.3 Have Equipment But Do Not Use It.............. 0.8 0.3 0.3 Q Q N 0.4 0.6 Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 12.2 14.4 11.3 7.1 13.2 7.6 18.3 Central Warm-Air Furnace........................ 44.7 7.5 10.8 9.3 5.6 11.4 4.6 12.0 For One Housing Unit........................... 42.9 6.9 10.3 9.1 5.4 11.3 4.1 11.0 For Two Housing Units......................... 1.8 0.6 0.6 Q Q Q 0.4 0.9 Steam or Hot Water System..................... 8.2 2.4 2.5 1.0 1.0 1.3 1.5 3.6 For One Housing Unit...........................

184

Total...........................................................  

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

Q Q Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions)

185

Total........................................................................  

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

25.6 25.6 40.7 24.2 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.7 Have Main Space Heating Equipment.................. 109.8 20.5 25.6 40.3 23.4 Use Main Space Heating Equipment.................... 109.1 20.5 25.6 40.1 22.9 Have Equipment But Do Not Use It...................... 0.8 N N Q 0.6 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 18.4 13.6 14.7 Central Warm-Air Furnace................................ 44.7 6.1 16.2 11.0 11.4 For One Housing Unit................................... 42.9 5.6 15.5 10.7 11.1 For Two Housing Units................................. 1.8 0.5 0.7 Q 0.3 Steam or Hot Water System............................. 8.2 4.9 1.6 1.0 0.6 For One Housing Unit................................... 5.1 3.2 1.1 0.4

186

Total...........................................................................  

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

0.6 0.6 15.1 5.5 Do Not Have Cooling Equipment............................. 17.8 4.0 2.4 1.7 Have Cooling Equipment.......................................... 93.3 16.5 12.8 3.8 Use Cooling Equipment........................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it.......................... 1.9 0.3 Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 5.2 0.8 Without a Heat Pump........................................... 53.5 5.5 4.8 0.7 With a Heat Pump............................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................. 28.9 10.7 7.6 3.1 1 Unit................................................................... 14.5 4.3 2.9 1.4 2 Units.................................................................

187

Total.......................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.4 2.2 4.2 Use a Personal Computer................................ 75.6 17.8 5.3 12.5 Number of Desktop PCs 1.................................................................. 50.3 11.0 3.4 7.6 2.................................................................. 16.2 4.4 1.3 3.1 3 or More..................................................... 9.0 2.5 0.7 1.8 Number of Laptop PCs 1.................................................................. 22.5 5.4 1.5 3.9 2.................................................................. 4.0 1.1 0.3 0.8 3 or More..................................................... 0.7 0.3 Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)...........................

188

Total....................................................................................  

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

111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer.................................. 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer.............................................. 75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 22.9 9.8 14.1 11.9 Laptop Model............................................................. 16.9 7.4 2.7 4.0 2.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.7 1.8 2.9 3.2 2 to 15 Hours............................................................. 29.1 11.9 5.1 6.5 5.7 16 to 40 Hours........................................................... 13.5 5.5 2.5 3.3 2.2 41 to 167 Hours.........................................................

189

Total........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.2 Q Have Main Space Heating Equipment.................. 109.8 46.3 18.9 22.5 22.1 Use Main Space Heating Equipment.................... 109.1 45.6 18.8 22.5 22.1 Have Equipment But Do Not Use It...................... 0.8 0.7 Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 27.0 11.9 14.9 4.3 Central Warm-Air Furnace................................ 44.7 19.8 8.6 12.8 3.6 For One Housing Unit................................... 42.9 18.8 8.3 12.3 3.5 For Two Housing Units................................. 1.8 1.0 0.3 0.4 Q Steam or Hot Water System............................. 8.2 4.4 2.1 1.4 0.3 For One Housing Unit................................... 5.1 2.1 1.6 1.0

190

Total........................................................................  

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

15.1 15.1 5.5 Do Not Have Space Heating Equipment............... 1.2 Q Q Q Have Main Space Heating Equipment.................. 109.8 20.5 15.1 5.4 Use Main Space Heating Equipment.................... 109.1 20.5 15.1 5.4 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 9.1 2.3 Central Warm-Air Furnace................................ 44.7 6.1 5.3 0.8 For One Housing Unit................................... 42.9 5.6 4.9 0.7 For Two Housing Units................................. 1.8 0.5 0.4 Q Steam or Hot Water System............................. 8.2 4.9 3.6 1.3 For One Housing Unit................................... 5.1 3.2 2.2 1.0 For Two Housing Units.................................

191

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 2.8 0.7 0.5 0.2 Million U.S. Housing Units Home Electronics Usage Indicators Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region,...

192

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 1.8 1.2 0.5 Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005 Million U.S. Housing Units Home Appliances...

193

Total..........................................................  

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

... 2.8 1.1 0.7 Q 0.4 Million U.S. Housing Units Home Electronics Usage Indicators Table HC13.12 Home Electronics Usage Indicators by South Census Region,...

194

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 3.1 1.0 2.2 Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005 Million U.S. Housing Units Home Appliances...

195

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

States New York Florida Texas California Million U.S. Housing Units Home Electronics Usage Indicators Table HC15.12 Home Electronics Usage Indicators by Four Most Populated...

196

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 2.7 3.5 2.2 1.3 3.5 1.3 3.8 Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for Federal...

197

Total..........................................................  

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

... 13.2 3.4 2.0 1.4 Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005 Million U.S. Housing Units Home Appliances...

198

Total..........................................................  

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

Census Region Northeast Midwest South West Million U.S. Housing Units Home Electronics Usage Indicators Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005...

199

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

(as Self-Reported) City Town Suburbs Rural Million U.S. Housing Units Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location,...

200

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 13.2 4.4 2.5 3.0 3.4 Table HC8.10 Home Appliances Usage Indicators by UrbanRural Location, 2005 Million U.S. Housing Units UrbanRural...

Note: This page contains sample records for the topic "oilseed milling total" 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

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 2.8 0.6 Q 0.5 Million U.S. Housing Units Home Electronics Usage Indicators Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005...

202

Total..........................................................  

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

... 13.2 4.9 2.3 1.1 1.5 Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005 Million U.S. Housing Units South Census Region...

203

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

... 51.9 7.0 4.8 2.2 Not Asked (Mobile Homes or Apartment in Buildings with 5 or More Units)... 23.7...

204

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

Housing Units Living Space Characteristics Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Single-Family Units Detached...

205

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

0.7 21.7 6.9 12.1 Do Not Have Space Heating Equipment... 1.2 Q Q N Q Have Main Space Heating Equipment... 109.8 40.3 21.4 6.9 12.0 Use Main Space Heating...

206

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

207

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Fuel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

208

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a Week....................................... 4.1 0.6 0.4 Q No Hot Meals Cooked........................................... 0.9 0.3 Q Q Conventional Oven Use an Oven......................................................... 109.6 20.3 14.9 5.4 More Than Once a Day..................................... 8.9 1.4 1.2 0.3 Once a Day.......................................................

209

Total...............................................................  

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

47.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs 1.......................................................... 22.5 9.1 3.6 6.0 3.8 2.......................................................... 4.0 1.5 0.6 1.3 0.7 3 or More............................................. 0.7 0.3 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 17.7 7.5 10.2 9.6 Flat-panel LCD.................................

210

Total........................................................  

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

111.1 24.5 1,090 902 341 872 780 441 Census Region and Division Northeast............................................. 20.6 6.7 1,247 1,032 Q 811 788 147 New England.................................... 5.5 1.9 1,365 1,127 Q 814 748 107 Middle Atlantic.................................. 15.1 4.8 1,182 978 Q 810 800 159 Midwest................................................ 25.6 4.6 1,349 1,133 506 895 810 346 East North Central............................ 17.7 3.2 1,483 1,239 560 968 842 351 West North Central........................... 7.9 1.4 913 789 329 751 745 337 South................................................... 40.7 7.8 881 752 572 942 873 797 South Atlantic................................... 21.7 4.9 875 707 522 1,035 934 926 East South Central........................... 6.9 0.7 Q Q Q 852 826 432 West South Central..........................

211

Total...............................................................  

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

0.7 0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs 1.......................................................... 22.5 7.7 4.3 1.1 2.4 2.......................................................... 4.0 1.5 0.9 Q 0.4 3 or More............................................. 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 15.4 7.9 2.8 4.8 Flat-panel LCD.................................

212

Total.................................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1 0.6 0.5 0.6 0.4 1.4 Less Than Once a Week............................ 4.1 1.3 1.0 0.9 0.5 0.4 0.7 1.4 No Hot Meals Cooked................................ 0.9 0.5 Q Q Q Q 0.2 0.5 Conventional Oven Use an Oven.............................................. 109.6 26.1 28.5 20.2 12.9 21.8 16.3 37.8 More Than Once a Day..........................

213

Total..................................................................  

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

. . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 3.7 2.6 6.1 6.8 11.2 13.2 13.9 8.2 Without a Heat Pump.................................. 53.5 3.6 2.3 5.5 5.8 9.5 10.1 10.3 6.4 With a Heat Pump....................................... 12.3 Q 0.3 0.6 1.0 1.7 3.1 3.6 1.7 Window/Wall Units....................................... 28.9 7.3 3.2 4.5 3.7 4.8 3.0 1.9 0.7 1 Unit..........................................................

214

Total..............................................  

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

111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North Central.................. 17.7 14.5 2,864 2,217 1,490 2,514 1,715 1,408 907 839 553 West North Central................. 7.9 6.4 2,729 2,289 1,924 1,806 1,510 1,085 1,299 1,113 1,059 South.......................................... 40.7 33.0 2,707 1,849 1,563 1,605 1,350 954 1,064 970 685 South Atlantic......................... 21.7 16.8 2,945 1,996 1,695 1,573 1,359 909 1,044 955

215

Total.................................................................................  

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

... ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment................................. 17.8 4.0 2.4 1.7 Have Cooling Equipment............................................. 93.3 16.5 12.8 3.8 Use Cooling Equipment............................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it............................. 1.9 0.3 Q Q Type of Air-Conditioning Equipment 1, 2 Central System.......................................................... 65.9 6.0 5.2 0.8 Without a Heat Pump.............................................. 53.5 5.5 4.8 0.7 With a Heat Pump................................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................... 28.9 10.7 7.6 3.1 1 Unit.......................................................................

216

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat Pump............................................. 53.5 21.2 9.7 13.7 8.9 With a Heat Pump................................................. 12.3 4.6 1.2 2.8 3.6 Window/Wall Units.................................................. 28.9 13.4 5.6 3.9 6.1 1 Unit.....................................................................

217

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 10.3 3.1 7.3 Have Cooling Equipment............................................ 93.3 13.9 4.5 9.4 Use Cooling Equipment............................................. 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it............................ 1.9 1.0 Q 0.8 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump............................................. 53.5 8.7 3.2 5.5 With a Heat Pump................................................. 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit..................................................................... 14.5 2.9 0.5 2.4 2 Units...................................................................

218

Total..................................................................  

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

78.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat Pump.................................. 53.5 41.1 34.8 2.1 0.5 1.2 2.6 With a Heat Pump....................................... 12.3 10.6 9.1 0.4 Q 0.3 0.6 Window/Wall Units....................................... 28.9 16.5 12.0 1.3 1.0 0.4 1.7 1 Unit.......................................................... 14.5 7.2 5.4 0.5 0.2 Q 0.9 2 Units.........................................................

219

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................ 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................ 1.9 0.5 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................. 12.3 9.0 6.7 1.4 0.9 Window/Wall Units.................................................. 28.9 8.0 3.4 1.7 2.9 1 Unit.....................................................................

220

Total........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.7 Have Main Space Heating Equipment.................. 109.8 23.4 7.5 16.0 Use Main Space Heating Equipment.................... 109.1 22.9 7.4 15.4 Have Equipment But Do Not Use It...................... 0.8 0.6 Q 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 14.7 4.6 10.1 Central Warm-Air Furnace................................ 44.7 11.4 4.0 7.4 For One Housing Unit................................... 42.9 11.1 3.8 7.3 For Two Housing Units................................. 1.8 0.3 Q Q Steam or Hot Water System............................. 8.2 0.6 0.3 0.3 For One Housing Unit................................... 5.1 0.4 0.2 0.1 For Two Housing Units.................................

Note: This page contains sample records for the topic "oilseed milling total" 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

Total..............................................................  

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

Do Not Have Cooling Equipment................ Do Not Have Cooling Equipment................ 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment.............................. 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System.......................................... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit...................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units....................................................

222

Idle Operating Total Stream Day  

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

3 3 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels per Atmospheric Crude Oil Distillation Capacity Idle Operating Total Operable Refineries Number of State and PAD District a b b 11 10 1 1,293,200 1,265,200 28,000 1,361,700 1,329,700 32,000 ............................................................................................................................................... PAD District I 1 1 0 182,200 182,200 0 190,200 190,200 0 ................................................................................................................................................................................................................................................................................................ Delaware......................................

223

Characterization and heritability studies on factors which affect milling properties of sorghum (Sorghum bicolor [L.] Moench)  

E-Print Network [OSTI]

Udy mi 1 1 was that milled for 120 seconds) was reduced into flour with the Udy cyclone sample mill (UD Corporation, Boulder Colorado USA ) for reflectance test . The reflectance reading was conducted on a Gardner co lorimeter . The standard values... Udy mi 1 1 was that milled for 120 seconds) was reduced into flour with the Udy cyclone sample mill (UD Corporation, Boulder Colorado USA ) for reflectance test . The reflectance reading was conducted on a Gardner co lorimeter . The standard values...

Saadan, Hamis Mohamed

2012-06-07T23:59:59.000Z

224

128 CEREAL CHEMISTRY Effects of Alkali Debranning, Roller Mill Cracking and Gap Setting, and Alkali  

E-Print Network [OSTI]

was obtained when steeping corn in 0.5% NaOH for 1 hr at 45�C. Alkali corn wet-milling has been studied Steeping Conditions on Milling Yields from a Dent Corn Hybrid P. Yang,1 L. Du,1,2 D. L. Wang,1 B. H. Li,1 K was significantly affected by all three main unit oper- ations in alkali wet-milling (debranning, roller milling

225

Life in Challenge Mills, Yuba County, California, 18751915 Andrew Martin Leach  

E-Print Network [OSTI]

Mills, Yuba County, California, 1875­1915 steam engine and boiler, production increased to 40,000 board

Standiford, Richard B.

226

Survival in lake water of Klebsiella pneumoniae discharged by a paper mill.  

Science Journals Connector (OSTI)

...Klebsiella pneumoniae discharged by a paper mill. S I Niemela P Vaatanen We investigated...receiving bacteria mainly from a paper mill. An mFC-inositol-carbenicillin-agar...Klebsiella pneumoniae discharged by a paper mill. | We investigated survival of Klebsiella...

S I Niemel; P Vtnen

1982-08-01T23:59:59.000Z

227

Solving Steel Mill Slab Problems with Constraint-Based Techniques: CP, LNS, and  

E-Print Network [OSTI]

Solving Steel Mill Slab Problems with Constraint-Based Techniques: CP, LNS, and CBLS Pierre Schaus, 2010 Abstract The Steel Mill Slab Problem is an optimization benchmark that has been studied for a long approaches. In a second part of the paper, we present a variation of the Steel Mill Slab Problem whose aim

Deville, Yves

228

Determination of Fumonisins in Milled Corn Grains Using HPLC-MS  

Science Journals Connector (OSTI)

......No. 1126/2007 (for milling fractions of maize with...m1,400 g/kg and for milling fractions of maize with...of Fumonisins in Milled Corn Grains Using HPLCMS Vlastimil...because the aerosol was wet and caused discharges...samples of grounded maize corn. The mycotoxin content......

Vlastimil Dohnal; Alena Jezkov; Ivana Polisensk; Kamil Kuca

2010-09-01T23:59:59.000Z

229

Vol. 82, No. 4, 2005 431 Phosphorus Concentrations and Flow in Maize Wet-Milling Streams  

E-Print Network [OSTI]

gluten meal (CGM) and corn gluten feed (CGF) is important to the maize wet-milling industry. HighVol. 82, No. 4, 2005 431 Phosphorus Concentrations and Flow in Maize Wet-Milling Streams Kent D in animal wastes. The objective was to measure the concentration and flow of phosphorus in the wet-milling

230

Characterization of light gluten and light steep water from a corn wet milling plant  

E-Print Network [OSTI]

Characterization of light gluten and light steep water from a corn wet milling plant K.D. Rausch March 2003; accepted 10 March 2003 Abstract The primary commodity of corn wet milling is starch, but two Ltd. All rights reserved. Keywords: Coproducts; Corn gluten meal; Corn gluten feed; Corn wet milling

231

ENGINEERING AND PROCESSING A 100-g Laboratory Corn Wet-Milling Procedure  

E-Print Network [OSTI]

ENGINEERING AND PROCESSING A 100-g Laboratory Corn Wet-Milling Procedure S. R. ECKHOFF,' S. K in replicates of 0.36% when the replicates were per- The feasibility of corn wet-milling facilities processing of biotechnology and genetic engineering in corn hybrid development. Identification of better wet-milling hybrids

232

Low Temperature Milling of the LiNH2 + LiH Hydrogen Storage System...  

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

Milling of the LiNH2 + LiH Hydrogen Storage System. Low Temperature Milling of the LiNH2 + LiH Hydrogen Storage System. Abstract: Ball milling of the LiNH2 + LiH storage system was...

233

Virtual machining considering dimensional, geometrical and tool deflection errors in three-axis CNC milling machines  

Science Journals Connector (OSTI)

Abstract Virtual manufacturing systems can provide useful means for products to be manufactured without the need of physical testing on the shop floor. As a result, the time and cost of part production can be decreased. There are different error sources in machine tools such as tool deflection, geometrical deviations of moving axis and thermal distortions of machine tool structures. Some of these errors can be decreased by controlling the machining process and environmental parameters. However other errors like tool deflection and geometrical errors which have a big portion of the total error, need more attention. This paper presents a virtual machining system in order to enforce dimensional, geometrical and tool deflection errors in three-axis milling operations. The system receives 21 dimensional and geometrical errors of a machine tool and machining codes of a specific part as input. The output of the system is the modified codes which will produce actual machined part in the virtual environment.

Mohsen Soori; Behrooz Arezoo; Mohsen Habibi

2014-01-01T23:59:59.000Z

234

Veeco Solar Equipment formerly Mill Lane Engineering | Open Energy  

Open Energy Info (EERE)

Veeco Solar Equipment formerly Mill Lane Engineering Veeco Solar Equipment formerly Mill Lane Engineering Jump to: navigation, search Name Veeco Solar Equipment (formerly Mill Lane Engineering) Place Lowell, Massachusetts Zip 1851 Sector Solar Product Mill Lane Engineering is a privately held Massachusetts corporation that designs, builds, and integrates custom solar equipment and flexible solar panel coating systems. Coordinates 43.33937°, -88.817939° 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":43.33937,"lon":-88.817939,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

235

INTRODUCTION TO MACHINING 1.2 MILLING MACHINE  

E-Print Network [OSTI]

and rotates inside the quill (which can be moved vertically). Spindle speed selector: typically a wheel which in either the x or y direction into the workpiece (peripheral cutting). -Ball nose end mill: Ball nose end advanced, sculpted surfaces. Figure 1.2.3: Endmills Figure1. 2.4: Ball Nose Endmill 19 #12;INTRODUCTION

Sun, Yu

236

The inheritance of fruit colour in apple (Malus pumila Mill.)  

E-Print Network [OSTI]

The inheritance of fruit colour in apple (Malus pumila Mill.) Allan G. WHITE Yves LESPINASSE that red fruit colour was determined by two dominant complementary genes. Blush and red colour did key words : Skin colour, hybridization. R?SUM? Hérédité de la couleur du fruit chez le pommier (Malus

Paris-Sud XI, Université de

237

Microfiltration of gluten processing streams from corn wet milling  

Science Journals Connector (OSTI)

In corn wet milling, dry matter can be separated from liquids in process streams with centrifuges or vacuum belt filtration (VBF). Because separations usually are not complete, dry matter can be lost in the liquid streams (overflow from the gluten thickener centrifuge and filtrate from VBF). This represents a loss of nutrients, especially protein, to low valued coproducts and reduces quality of water for recycling within the process. The objective was to compare microfiltration of light and heavy gluten process streams to conventional separation methods. Batches of light and heavy gluten were obtained from a wet mill plant and processed by microfiltration. Samples of permeate and concentrate from microfiltration were analyzed and compared to corresponding streams from wet milling. Microfiltration of light gluten resulted in concentrate and permeate streams similar in composition to conventionally processed light gluten using a centrifuge, suggesting that microfiltration is as effective as centrifugation in partitioning solids and water in light gluten. Dewatering of heavy gluten found that conventional VBF caused dry matter concentrations in gluten cake to be higher than concentrate from microfiltration. Permeate from microfiltration of heavy gluten had higher concentrations of ash and lower soluble nitrogen than filtrate from VBF. Microfiltration was able to remove more ash from concentrate, which may improve the value of wet milling coproducts. These data demonstrated microfiltration has potential for separation of light and heavy gluten streams, but more data are needed on effectiveness and practicality.

C.I. Thompson; K.D. Rausch; R.L. Belyea; M.E. Tumbleson

2006-01-01T23:59:59.000Z

238

Boise Inc. St. Helens Paper Mill Achieves Significant Fuel Savings  

SciTech Connect (OSTI)

This case study describes how the Boise Inc. paper mill in St. Helens, Oregon, achieved annual savings of approximately 154,000 MMBtu and more than $1 million after receiving a DOE Save Energy Now energy assessment and implementing recommendations to improve the efficiency of its steam system.

Not Available

2008-05-01T23:59:59.000Z

239

Boise Inc. St. Helens Paper Mill Achieves Significant Fuel Savings  

Broader source: Energy.gov [DOE]

This case study describes how the Boise Inc. paper mill in St. Helens, Oregon, achieved annual savings of approximately 154,000 MMBtu and more than $1 million. This was accomplished after receiving a DOE energy assessment and implementing recommendations to improve the efficiency of its steam system.

240

total energy | OpenEI  

Open Energy Info (EERE)

total energy total energy Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion BTUs, and quantifies the energy prices using U.S. dollars. The data is broken down into total production, imports, exports, consumption, and prices for energy types. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO consumption EIA export import production reference case total energy Data application/vnd.ms-excel icon AEO2011: Total Energy Supply, Disposition, and Price Summary - Reference Case (xls, 112.8 KiB) Quality Metrics Level of Review Peer Reviewed

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


241

A view of feed mill improvement  

E-Print Network [OSTI]

Ibr wetghktg all other feed ngtediems and any cattle that woukl arrive at the yartL My primary job whge working in the office involved using a coinputer. I was in charge of adding up the total pounds of feed that were fed to the pens of cattle each... of recording each day's activities in book form. Walter Lasley and Sons, Inc. utilize the computer to perform all the necessary accounting functions, but each day the inventories were also maintained in ledger form. One final responsibility I had...

Nobra, Jay Edward

1996-01-01T23:59:59.000Z

242

Milling Machine Policies This milling machine must be used by only qualified users. A qualified user list is posted  

E-Print Network [OSTI]

, replace it with one from stock and throw the old one in the sharps disposal unit. Do not put of the damaged bit and sand down any burs introduced to the milling plate to keep the face as flat as possible contour routing, keep looking to see if the contour bit goes down. If so, shut off the machine immediately

Chappell, William J.

243

Beijing Jingye Bearing Manufacture for Rolling Mills Co Ltd | Open Energy  

Open Energy Info (EERE)

Jingye Bearing Manufacture for Rolling Mills Co Ltd Jingye Bearing Manufacture for Rolling Mills Co Ltd Jump to: navigation, search Name Beijing Jingye Bearing Manufacture for Rolling Mills Co Ltd Place Beijing Municipality, China Sector Wind energy Product Beijing-based wind turbine bearing maker. References Beijing Jingye Bearing Manufacture for Rolling Mills Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Beijing Jingye Bearing Manufacture for Rolling Mills Co Ltd is a company located in Beijing Municipality, China . References ↑ "Beijing Jingye Bearing Manufacture for Rolling Mills Co Ltd" Retrieved from "http://en.openei.org/w/index.php?title=Beijing_Jingye_Bearing_Manufacture_for_Rolling_Mills_Co_Ltd&oldid=342621

244

Total Sky Imager (TSI) Handbook  

SciTech Connect (OSTI)

The total sky imager (TSI) provides time series of hemispheric sky images during daylight hours and retrievals of fractional sky cover for periods when the solar elevation is greater than 10 degrees.

Morris, VR

2005-06-01T23:59:59.000Z

245

"NAICS",,"per Employee","of Value Added","of Shipments"  

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

1 Relative Standard Errors for Table 6.1;" 1 Relative Standard Errors for Table 6.1;" " Unit: Percents." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" 311,"Food",3.8,4.3,4.1 3112," Grain and Oilseed Milling",8.2,5.8,5.6 311221," Wet Corn Milling",0,0,0 31131," Sugar Manufacturing",0,0,0 3114," Fruit and Vegetable Preserving and Specialty Foods ",7.3,6.7,6.2

246

Anderson Mill, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Anderson Mill, Texas: Energy Resources Anderson Mill, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 30.4549224°, -97.8058432° 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":30.4549224,"lon":-97.8058432,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

247

Kemp Mill, Maryland: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Kemp Mill, Maryland: Energy Resources Kemp Mill, Maryland: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.0389982°, -77.0191436° 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":39.0389982,"lon":-77.0191436,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

248

Mills County, Iowa: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Mills County, Iowa: Energy Resources Mills County, Iowa: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.0624496°, -95.6457951° 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":41.0624496,"lon":-95.6457951,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

249

Mille Lacs County, Minnesota: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Mille Lacs County, Minnesota: Energy Resources Mille Lacs County, Minnesota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 45.9228403°, -93.6218744° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.9228403,"lon":-93.6218744,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

250

Gang Mills, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Gang Mills, New York: Energy Resources Gang Mills, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.1461852°, -77.1116375° 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":42.1461852,"lon":-77.1116375,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

251

Roger Mills County, Oklahoma: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Roger Mills County, Oklahoma: Energy Resources Roger Mills County, Oklahoma: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 35.616176°, -99.634135° 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":35.616176,"lon":-99.634135,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

252

DOE/EA-1155 Uranium Mill Tailing Remedial Action Project  

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

55 55 Uranium Mill Tailing Remedial Action Project Environmental Assessment of Ground- Water Compliance Activities At the Uranium Mill Tailings Site Spook, Wyoming February 1997 Prepared by U.S. Department of Energy Albuquerque Operations Office Grand Junction Office This page intentionally blank : illegible Portions of tbis DISCLAIMER document may be in electronic image products. Images are produced fiom the best available original dOClMXlf?IlL DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, express or implied, or assumes any legal liabili- ty or responsibility for the accuracy, completeness,

253

Cedar Mill, Oregon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Mill, Oregon: Energy Resources Mill, Oregon: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 45.5048397°, -122.7984325° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.5048397,"lon":-122.7984325,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

254

Table 3.5 Selected Byproducts in Fuel Consumption, 2010;  

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

5 Selected Byproducts in Fuel Consumption, 2010; 5 Selected Byproducts in Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. Blast Pulping Liquor NAICS Furnace/Coke Petroleum or Wood Chips, Code(a) Subsector and Industry Total Oven Gases Waste Gas Coke Black Liquor Bark Total United States 311 Food 11 0 7 0 0 1 3112 Grain and Oilseed Milling 5 0 2 0 0 * 311221 Wet Corn Milling * 0 * 0 0 0 31131 Sugar Manufacturing * 0 * 0 0 * 3114 Fruit and Vegetable Preserving and Specialty Foods 1 0 1 0 0 0 3115 Dairy Products 1 0 1 0 0 0 3116 Animal Slaughtering and Processing 4 0 4 0 0 * 312 Beverage and Tobacco Products 3 0 2 0 0 1 3121 Beverages 3 0 2 0 0 1 3122 Tobacco 0 0 0 0 0 0 313 Textile Mills 0 0 0 0 0 0 314 Textile Product Mills

255

Hydrogen From MillHydrogen From Mill--Scale Waste Via MetalScale Waste Via Metal--Steam ReformingSteam Reforming INTRODUCTIONINTRODUCTION  

E-Print Network [OSTI]

1 Hydrogen From MillHydrogen From Mill--Scale Waste Via MetalScale Waste Via Metal--Steam ReformingSteam Reforming INTRODUCTIONINTRODUCTION Hydrogen is considered to be the ideal energy carrying medium for fuel and supplying hydrogen to the end user in more reversible, much simpler and far safer ways. Metal-steam

Azad, Abdul-Majeed

256

The rhetoric of economic inquiry in Smith, Whately, and Mill  

E-Print Network [OSTI]

Reflections on a Grant to a Roman Catholic Seminary, 1845???????????????????? 195 Michael Novak and The Spirit of Democratic Capitalism??. 202 Conclusion????????????????????.. 209 IV MILL AND THE ART AND BUSINESS OF LIFE????.. 213 Logic, Liberty... experience. Nevertheless, it often happens that our talk and trade create as many problems as they resolve, promoting or obscuring inequalities, diminishing brother and sisterhood, and crumbling moral foundations for liberty and justice. Hence, for all our...

Gore, David Charles

2005-08-29T23:59:59.000Z

257

Functional Approach to Classical Yang-Mills Theories  

E-Print Network [OSTI]

Sometime ago it was shown that the operatorial approach to classical mechanics, pioneered in the 30's by Koopman and von Neumann, can have a functional version. In this talk we will extend this functional approach to the case of classical field theories and in particular to the Yang-Mills ones. We shall show that the issues of gauge-fixing and Faddeev-Popov determinant arise also in this classical formalism.

P. Carta; D. Mauro

2001-07-10T23:59:59.000Z

258

Uranium mill tailings remedial action project real estate management plan  

SciTech Connect (OSTI)

This plan summarizes the real estate requirements of the US Department of Energy`s (DOE) Uranium Mill Tailings Action (UMTRA) Project, identifies the roles and responsibilities of project participants involved in real estate activities, and describes the approaches used for completing these requirements. This document is intended to serve as a practical guide for all project participants. It is intended to be consistent with all formal agreements, but if a conflict is identified, the formal agreements will take precedence.

Not Available

1994-09-01T23:59:59.000Z

259

High-speed EDM milling with moving electric arcs  

Science Journals Connector (OSTI)

A novel high-speed electrical discharge machining (EDM) milling method using moving electric arcs has been proposed in this study. We connected a copper electrode rotating rapidly around its axis and a work piece to a DC power supply to generate a moving electric arc. To ensure high relative speed of any point on the electrode with respect to the work piece, the electrode was shaped like a pipe. It was observed that the electric arcs move rapidly within the discharge gap due to the revolution of the tool electrode, removing the materials on the electrode along the track of the arc roots. To explore the characteristics of machining with moving electric arcs, an EDM milling apparatus was devised. Two planes with approximately the same roughness were machined separately by this equipment and a traditional EDM machine for comparison. It was found that a much higher material removal rate can be easily achieved by EDM milling with moving electric arcs. In the meanwhile, wear of the tool electrode in this new method is negligible, which is greatly favorable for machining accuracy. The microstructures of these surfaces were also investigated for further information.

Fuzhu Han; Yongxain Wang; Ming Zhou

2009-01-01T23:59:59.000Z

260

Biosolids recycling at a pulp and paper mill  

SciTech Connect (OSTI)

The Bio Gro Division of Wheelabrator Water Technologies Inc. has traditionally been involved in recycling biosolids from domestic wastewater treatment plants. The biosolids, or primarily organic residuals that result from the treatment of wastewater, have long been used in agriculture as a soil conditioner, fertilizer, organic lime material and also for other soil fertility practices. It has long been known that residuals from certain industrial wastewater processes are very high in nutrients and organic matter which can also be successfully used in agricultural activities. One of these industrial biosolids with well-documented agricultural value is the organic residual from the treatment of wastewater from pulp and paper mills. Most pulp and paper producers in the US recognize the value of pulp and paper biosolids as a material that can fertilize their own tree stands or can be used in normal agricultural practices. In 1995, Bio Gro entered into a contract with a two large pulp and paper mills in Maine for the management of its pulp and paper biosolids. Bio Gro was responsible for implementing the beneficial use options for a mixture of primary and secondary biosolids from the wastewater treatment process which was combined with combustion ash from the facility`s power generation facilities. The contract included the layout of spreading areas, mixing of the residuals and spreading the material on the sites. This paper will explain the process that Bio Gro employed to manage the pulp and paper biosolids generated at the mill.

Gratton, P.F. [Wheelabrator Water Technologies Inc., Annapolis, MD (United States). Bio Gro Div.; Montgomery, K.L. [Wheelabrator Water Technologies Inc., Fredericksburg, VA (United States). Bio Gro Div.; Page, S.H. [Wheelabrator Water Technologies Inc., Portland, ME (United States). Bio Gro Div.

1997-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "oilseed milling total" 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

DOE - Office of Legacy Management -- Tuba City Mill Site - AZ 0-02  

Office of Legacy Management (LM)

Mill Site - AZ 0-02 Mill Site - AZ 0-02 FUSRAP Considered Sites Site: Tuba City Mill Site (AZ.0-02 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Tuba City, Arizona, Disposal Site Documents Related to Tuba City Mill Site 2012 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites-Tuba City, Arizona, Disposal Site. LMS/S09461. February 2013 2008 UMTRCA Title I Annual Report January 2009 Tuba City, Arizona February 2009 Groundwater and Surface Water Sampling at the Tuba City, Arizona Disposal Site May 2009 This fact sheet provides information about the Uranium Mill Tailings

262

EA-1155: Ground-water Compliance Activities at the Uranium Mill Tailings  

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

5: Ground-water Compliance Activities at the Uranium Mill 5: Ground-water Compliance Activities at the Uranium Mill Tailings Site, Spook, Wyoming EA-1155: Ground-water Compliance Activities at the Uranium Mill Tailings Site, Spook, Wyoming SUMMARY This EA evaluates the environmental impacts for the proposal to comply with the Environmental Protection Agency's ground-water standards set forth in 40 CFR 192 at the Spook, Wyoming Uranium Mill Tailings Site by using the selected alternative stated in the Final Programmatic Environmental Impact Statement for the Uranium Mill Tailings Remedial Action Ground Water Project. PUBLIC COMMENT OPPORTUNITIES None available at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD March 1, 1997 EA-1155: Final Environmental Assessment Ground-water Compliance Activities at the Uranium Mill Tailings Site,

263

Moab Project Disposes 2 Million Tons of Uranium Mill Tailings with Recovery  

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

Moab Project Disposes 2 Million Tons of Uranium Mill Tailings with Moab Project Disposes 2 Million Tons of Uranium Mill Tailings with Recovery Act Funds Moab Project Disposes 2 Million Tons of Uranium Mill Tailings with Recovery Act Funds The Moab Uranium Mill Tailings Remedial Action Project reached its primary American Recovery and Reinvestment Act milestone ahead of schedule on Wednesday with the disposal of 2 million tons of uranium mill tailings. The project had originally planned to ship 2 million tons of tailings with Recovery Act funds. Now, Recovery Act workers are surpassing that goal. Moab Project Disposes 2 Million Tons of Uranium Mill Tailings with Recovery Act Funds More Documents & Publications EIS-0355: Record of Decision EIS-0355: Draft Environmental Impact Statement EIS-0355: Final Environmental Impact Statement

264

Bioenergy Pumps New Life into Pulp and Paper Mills | Department of Energy  

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

Bioenergy Pumps New Life into Pulp and Paper Mills Bioenergy Pumps New Life into Pulp and Paper Mills Bioenergy Pumps New Life into Pulp and Paper Mills December 13, 2011 - 4:12pm Addthis Old Town Fuel and Fiber, a former pulp mill, converts a portion of the wood chips used to make pulp to biofuels. | Energy Department photo. Old Town Fuel and Fiber, a former pulp mill, converts a portion of the wood chips used to make pulp to biofuels. | Energy Department photo. Neil Rossmeissl General Engineer What does this project do? Breathes new life into shuttered factories and mills. Saves and creates jobs. Despite Americans' voracious appetite for paper products -- a staggering 700 pounds per person annually -- America's pulp and paper industry has been struggling as of late due to competition from countries where

265

CLEANING UP MILL TAILINGS AND GROUND WATER AT THE MOAB UMTRA PROJECT SITE |  

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

CLEANING UP MILL TAILINGS AND GROUND WATER AT THE MOAB UMTRA CLEANING UP MILL TAILINGS AND GROUND WATER AT THE MOAB UMTRA PROJECT SITE CLEANING UP MILL TAILINGS AND GROUND WATER AT THE MOAB UMTRA PROJECT SITE August 2, 2010 - 12:00pm Addthis A sheep’s foot roller compacts the tailings in the disposal cell. A sheep's foot roller compacts the tailings in the disposal cell. Moab, UT MILL TAILINGS REMOVAL Sixteen million tons of uranium mill tailings 80 feet high stood on the banks of the Colorado River near Moab in southeast Utah, as a legacy to the former ore-processing site that operated for nearly three decades beginning in the mid-1950s. That is until April 2009, when the U.S. Department of Energy began moving the tailings by rail to an engineered disposal cell constructed 30 miles north near Crescent Junction, Utah. The mill tailings,

266

6 Million Tons of Mill Tailings Removed From DOE Moab Project Site |  

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

6 Million Tons of Mill Tailings Removed From DOE Moab Project Site 6 Million Tons of Mill Tailings Removed From DOE Moab Project Site 6 Million Tons of Mill Tailings Removed From DOE Moab Project Site June 18, 2013 - 12:00pm Addthis Media Contacts Donald Metzler, Moab Federal Project Director (970) 257-2115 Wendee Ryan, S&K Aerospace Public Affairs Manager (970) 257-2145 (Grand Junction, CO) - Today, the Department of Energy (DOE) announced that 6 million tons of uranium mill tailings have been shipped from Moab, Utah, under the Uranium Mill Tailings Remedial Action Project to an engineered disposal cell near Crescent Junction, Utah. The shipments mark continued progress toward relocating the 16-million-ton uranium mill tailings pile away from the Colorado River. "The federal budget continues to be stretched thin, and I am proud this

267

6 Million Tons of Mill Tailings Removed From DOE Moab Project Site |  

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

6 Million Tons of Mill Tailings Removed From DOE Moab Project Site 6 Million Tons of Mill Tailings Removed From DOE Moab Project Site 6 Million Tons of Mill Tailings Removed From DOE Moab Project Site June 18, 2013 - 12:00pm Addthis Media Contacts Donald Metzler, Moab Federal Project Director (970) 257-2115 Wendee Ryan, S&K Aerospace Public Affairs Manager (970) 257-2145 (Grand Junction, CO) - Today, the Department of Energy (DOE) announced that 6 million tons of uranium mill tailings have been shipped from Moab, Utah, under the Uranium Mill Tailings Remedial Action Project to an engineered disposal cell near Crescent Junction, Utah. The shipments mark continued progress toward relocating the 16-million-ton uranium mill tailings pile away from the Colorado River. "The federal budget continues to be stretched thin, and I am proud this

268

Bioenergy Pumps New Life into Pulp and Paper Mills | Department of Energy  

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

Bioenergy Pumps New Life into Pulp and Paper Mills Bioenergy Pumps New Life into Pulp and Paper Mills Bioenergy Pumps New Life into Pulp and Paper Mills December 13, 2011 - 4:12pm Addthis Old Town Fuel and Fiber, a former pulp mill, converts a portion of the wood chips used to make pulp to biofuels. | Energy Department photo. Old Town Fuel and Fiber, a former pulp mill, converts a portion of the wood chips used to make pulp to biofuels. | Energy Department photo. Neil Rossmeissl General Engineer What does this project do? Breathes new life into shuttered factories and mills. Saves and creates jobs. Despite Americans' voracious appetite for paper products -- a staggering 700 pounds per person annually -- America's pulp and paper industry has been struggling as of late due to competition from countries where

269

Low energy milling method, low crystallinity alloy, and negative electrode composition  

DOE Patents [OSTI]

A method of making nanostructured alloy particles includes milling a millbase in a pebble mill containing milling media. The millbase comprises: (i) silicon, and (ii) at least one of carbon or a transition metal, and wherein the nanostructured alloy particles are substantially free of crystalline domains greater than 50 nanometers in size. A method of making a negative electrode composition for a lithium ion battery including the nanostructured alloy particles is also disclosed.

Le, Dihn B; Obrovac, Mark N; Kube, Robert Y; Landucci, James R

2012-10-16T23:59:59.000Z

270

Buildings","Total  

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

L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" L1. Floorspace Lit by Lighting Type for Non-Mall Buildings, 1995" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings*",54068,51570,45773,6746,34910,1161,3725,779 "Building Floorspace" "(Square Feet)" "1,001 to 5,000",6272,5718,4824,986,3767,50,22,54 "5,001 to 10,000",7299,6667,5728,1240,4341,61,169,45 "10,001 to 25,000",10829,10350,8544,1495,6442,154,553,"Q"

271

ARM - Measurement - Total cloud water  

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

cloud water cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. External Instruments NCEPGFS : National Centers for Environment Prediction Global Forecast System Field Campaign Instruments CSI : Cloud Spectrometer and Impactor PDI : Phase Doppler Interferometer

272

Buildings","Total  

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

L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" L2. Floorspace Lit by Lighting Types (Non-Mall Buildings), 1999" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",61707,58693,49779,6496,37150,3058,5343,1913 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6750,5836,4878,757,3838,231,109,162 "5,001 to 10,000 ..............",7940,7166,5369,1044,4073,288,160,109 "10,001 to 25,000 .............",10534,9773,7783,1312,5712,358,633,232

273

Buildings","Total  

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

L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" L3. Floorspace Lit by Lighting Type (Non-Mall Buildings), 2003" ,"Floorspace (million square feet)" ,"Total (Lit or Unlit) in All Buildings","Total (Lit or Unlit) in Buildings With Any Lighting","Lighted Area Only","Area Lit by Each Type of Light" ,,,,"Incan- descent","Standard Fluor-escent","Compact Fluor- escent","High Intensity Discharge","Halogen" "All Buildings* ...............",64783,62060,51342,5556,37918,4004,4950,2403 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,6038,4826,678,3932,206,76,124 "5,001 to 10,000 ..............",6585,6090,4974,739,3829,192,238,248 "10,001 to 25,000 .............",11535,11229,8618,1197,6525,454,506,289

274

Vertically and Horizontally Mounted Wind Mills : Wind Energy Production in Tampere University of Applied Sciences.  

E-Print Network [OSTI]

??The purpose of this thesis was to gather information about vertical and horizontal wind mills and to complete a research on wind power production by (more)

Evdokimova, Ekaterina

2013-01-01T23:59:59.000Z

275

Phase evolution in carbide dispersion strengthened nanostructured copper composite by high energy ball milling  

SciTech Connect (OSTI)

In this study, high-energy ball milling was applied to synthesis in situ nanostructured copper based composite reinforced with metal carbides. Cu, M (M=W or Ti) and graphite powder mixture were mechanically alloyed for various milling time in a planetary ball mill with composition of Cu-20vol%WC and Cu-20vol%TiC. Then the as-milled powder were compacted at 200 to 400 MPa and sintered in a vacuum furnace at 900 Degree-Sign C. The results of X-ray diffraction, scanning electron microscopy and energy dispersive spectroscopy analysis showed that formation of tungsten carbides (W{sub 2}C and WC phases) was observed after sintering of Cu-W-C mixture while TiC precipitated in as-milled powder of Cu-Ti-C composite after 5 h and become amorphous with longer milling. Mechanism of MA explained the cold welding and fracturing event during milling. Cu-W-C system shows fracturing event is more dominant at early stage of milling and W particle still existed after milling up to 60 h. While in Cu-Ti-C system, cold welding is more dominant and all Ti particles dissolved into Cu matrix.

Hussain, Zuhailawati; Nur Hawadah, M. S. [School of Materials and Mineral Resources Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang (Malaysia)

2012-09-06T23:59:59.000Z

276

Application of hazard analysis (HACCP) in starch production by the wet milling of maize.  

E-Print Network [OSTI]

??This study is based on the Hazard Analysis in the Wet Milling of maize for the production of starch at the Bellville plant of African (more)

Samuels, R. C.

1993-01-01T23:59:59.000Z

277

Contamination issues in a continuous ethanol production corn wet milling facility  

Science Journals Connector (OSTI)

Low ethanol yields and poor yeast viability were investigated at a continuous ethanol production corn wet milling facility. Using starch slurries and recycle streams...

Esha Khullar; Angela D. Kent

2013-05-01T23:59:59.000Z

278

E-Print Network 3.0 - armoring uranium-mill tailings Sample Search...  

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

Donahue R, Hendry MJ, Landine P (2000b) Geochemistry of arsenic and nickel in uranium mill tailings... , Mahoney J, MacDonald A, Rowson J (1999) ... Source: Pichler,...

279

The stresses in the reels of cold reduction mills  

Science Journals Connector (OSTI)

An investigation into the stress distribution in the reels of a cold reduction mill is described. The results indicated that the distribution is nearly axially symmetrical, and it was concluded that Inglis's theory of wire winding might be adapted to give a reasonable approximation of the stresses over the surface of a reel drum in the form of a thick-walled tube. This has been confirmed by the direct measurement of tangential stress in the lap of a coil next to the reel.

R B Sims; J A Place

1953-01-01T23:59:59.000Z

280

Fusion hierarchies for N = 4 superYang-Mills theory  

E-Print Network [OSTI]

We employ the analytic Bethe Anzats to construct eigenvalues of transfer matrices with finite-dimensional atypical representations in the auxiliary space for the putative long-range spin chain encoding anomalous dimensions of all composite single-trace gauge invariant operators of the maximally supersymmetric Yang-Mills theory. They obey an infinite fusion hierarchy which can be reduced to a finite set of integral relations for a minimal set of transfer matrices. This set is used to derive a finite systems of functional equations for eigenvalues of nested Baxter polynomials.

A. V. Belitsky

2008-03-13T23:59:59.000Z

Note: This page contains sample records for the topic "oilseed milling total" 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

Neumann domination for the Yang-Mills heat equation  

E-Print Network [OSTI]

Long time existence and uniqueness of solutions to the Yang-Mills heat equation have been proven over a compact 3-manifold with boundary for initial data of finite energy. In the present paper we improve on previous estimates by using a Neumann domination technique that allows us to get much better pointwise bounds on the magnetic field. As in the earlier work, we focus on Dirichlet, Neumann and Marini boundary conditions. In addition, we show that the Wilson Loop functions, gauge invariantly regularized, converge as the parabolic time goes to infinity.

Nelia Charalambous; Leonard Gross

2014-05-30T23:59:59.000Z

282

Energy efficiency improvement and cost saving opportunities for the Corn Wet Milling Industry: An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network [OSTI]

Alkali and Conventional Corn Wet-Milling: 100-g Procedures.Membrane Application in Corn Wet Milling Proceedings of theP. H. (1992). Technology of Corn Wet Milling and Associated

Galitsky, Christina; Worrell, Ernst; Ruth, Michael

2003-01-01T23:59:59.000Z

283

Total Adjusted Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

284

Solar total energy project Shenandoah  

SciTech Connect (OSTI)

This document presents the description of the final design for the Solar Total Energy System (STES) to be installed at the Shenandoah, Georgia, site for utilization by the Bleyle knitwear plant. The system is a fully cascaded total energy system design featuring high temperature paraboloidal dish solar collectors with a 235 concentration ratio, a steam Rankine cycle power conversion system capable of supplying 100 to 400 kW(e) output with an intermediate process steam take-off point, and a back pressure condenser for heating and cooling. The design also includes an integrated control system employing the supervisory control concept to allow maximum experimental flexibility. The system design criteria and requirements are presented including the performance criteria and operating requirements, environmental conditions of operation; interface requirements with the Bleyle plant and the Georgia Power Company lines; maintenance, reliability, and testing requirements; health and safety requirements; and other applicable ordinances and codes. The major subsystems of the STES are described including the Solar Collection Subysystem (SCS), the Power Conversion Subsystem (PCS), the Thermal Utilization Subsystem (TUS), the Control and Instrumentation Subsystem (CAIS), and the Electrical Subsystem (ES). Each of these sections include design criteria and operational requirements specific to the subsystem, including interface requirements with the other subsystems, maintenance and reliability requirements, and testing and acceptance criteria. (WHK)

None

1980-01-10T23:59:59.000Z

285

Grantee Total Number of Homes  

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

Grantee Grantee Total Number of Homes Weatherized through November 2011 [Recovery Act] Total Number of Homes Weatherized through November 2011 (Calendar Year 2009 - November 2011) [Recovery Act + Annual Program Funding] Alabama 6,704 7,867 1 Alaska 443 2,363 American Samoa 304 410 Arizona 6,354 7,518 Arkansas 5,231 6,949 California 41,649 50,002 Colorado 12,782 19,210 Connecticut 8,940 10,009 2 Delaware** 54 54 District of Columbia 962 1,399 Florida 18,953 20,075 Georgia 13,449 14,739 Guam 574 589 Hawaii 604 1,083 Idaho** 4,470 6,614 Illinois 35,530 44,493 Indiana** 18,768 21,689 Iowa 8,794 10,202 Kansas 6,339 7,638 Kentucky 7,639 10,902 Louisiana 4,698 6,946 Maine 5,130 6,664 Maryland 8,108 9,015 Massachusetts 17,687 21,645 Michigan 29,293 37,137 Minnesota 18,224 22,711 Mississippi 5,937 6,888 Missouri 17,334 20,319 Montana 3,310 6,860 Navajo Nation

286

Total production of uranium concentrate in the United States  

Gasoline and Diesel Fuel Update (EIA)

3. U.S. uranium mills and heap leach facilities by owner, location, capacity, and operating status 3. U.S. uranium mills and heap leach facilities by owner, location, capacity, and operating status Operating Status at the End of Owner Mill and Heap Leach1 Facility Name County, State (existing and planned locations) Capacity (short tons of ore per day) 2012 1st Quarter 2013 2nd Quarter 2013 3rd Quarter 2013 EFR White Mesa LLC White Mesa Mill San Juan, Utah 2,000 Operating Operating Operating Operating-Processing Alternate Feed Energy Fuels Resources Corporation Piñon Ridge Mill Montrose, Colorado 500 Partially Permitted And Licensed Partially Permitted And Licensed Partially Permitted And Licensed Permitted and Licensed Energy Fuels Wyoming Inc Sheep Mountain Fremont, Wyoming 725 - Undeveloped Undeveloped Undeveloped

287

Total Number of Operable Refineries  

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

Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge Capacity (B/SD) Thermal Cracking Downstream Charge Capacity (B/SD) Thermal Cracking Total Coking Downstream Charge Capacity (B/SD) Thermal Cracking Delayed Coking Downstream Charge Capacity (B/SD Thermal Cracking Fluid Coking Downstream Charge Capacity (B/SD) Thermal Cracking Visbreaking Downstream Charge Capacity (B/SD) Thermal Cracking Other/Gas Oil Charge Capacity (B/SD) Catalytic Cracking Fresh Feed Charge Capacity (B/SD) Catalytic Cracking Recycle Charge Capacity (B/SD) Catalytic Hydro-Cracking Charge Capacity (B/SD) Catalytic Hydro-Cracking Distillate Charge Capacity (B/SD) Catalytic Hydro-Cracking Gas Oil Charge Capacity (B/SD) Catalytic Hydro-Cracking Residual Charge Capacity (B/SD) Catalytic Reforming Charge Capacity (B/SD) Catalytic Reforming Low Pressure Charge Capacity (B/SD) Catalytic Reforming High Pressure Charge Capacity (B/SD) Catalytic Hydrotreating/Desulfurization Charge Capacity (B/SD) Catalytic Hydrotreating Naphtha/Reformer Feed Charge Cap (B/SD) Catalytic Hydrotreating Gasoline Charge Capacity (B/SD) Catalytic Hydrotreating Heavy Gas Oil Charge Capacity (B/SD) Catalytic Hydrotreating Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Kerosene/Jet Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Diesel Fuel Charge Capacity (B/SD) Catalytic Hydrotreating Other Distillate Charge Capacity (B/SD) Catalytic Hydrotreating Residual/Other Charge Capacity (B/SD) Catalytic Hydrotreating Residual Charge Capacity (B/SD) Catalytic Hydrotreating Other Oils Charge Capacity (B/SD) Fuels Solvent Deasphalting Charge Capacity (B/SD) Catalytic Reforming Downstream Charge Capacity (B/CD) Total Coking Downstream Charge Capacity (B/CD) Catalytic Cracking Fresh Feed Downstream Charge Capacity (B/CD) Catalytic Hydro-Cracking Downstream Charge Capacity (B/CD) Period:

288

Total quality management implementation guidelines  

SciTech Connect (OSTI)

These Guidelines were designed by the Energy Quality Council to help managers and supervisors in the Department of Energy Complex bring Total Quality Management to their organizations. Because the Department is composed of a rich mixture of diverse organizations, each with its own distinctive culture and quality history, these Guidelines are intended to be adapted by users to meet the particular needs of their organizations. For example, for organizations that are well along on their quality journeys and may already have achieved quality results, these Guidelines will provide a consistent methodology and terminology reference to foster their alignment with the overall Energy quality initiative. For organizations that are just beginning their quality journeys, these Guidelines will serve as a startup manual on quality principles applied in the Energy context.

Not Available

1993-12-01T23:59:59.000Z

289

Uranium mill tailings neutralization: contaminant complexation and tailings leaching studies  

SciTech Connect (OSTI)

Laboratory experiments were performed to compare the effectiveness of limestone (CaCO/sub 3/) and hydrated lime (Ca(OH)/sub 2/) for improving waste water quality through the neutralization of acidic uranium mill tailings liquor. The experiments were designed to also assess the effects of three proposed mechanisms - carbonate complexation, elevated pH, and colloidal particle adsorption - on the solubility of toxic contaminants found in a typical uranium mill waste solution. Of special interest were the effects each of these possible mechanisms had on the solution concentrations of trace metals such as Cd, Co, Mo, Zn, and U after neutralization. Results indicated that the neutralization of acidic tailings to a pH of 7.3 using hydrated lime provided the highest overall waste water quality. Both the presence of a carbonate source or elevating solution pH beyond pH = 7.3 resulted in a lowering of previously achieved water quality, while adsorption of contaminants onto colloidal particles was not found to affect the solution concentration of any constituent investigated. 24 refs., 8 figs., 19 tabs.

Opitz, B.E.; Dodson, M.E.; Serne, R.J.

1985-05-01T23:59:59.000Z

290

Radon attenuation handbook for uranium mill tailings cover design  

SciTech Connect (OSTI)

This handbook has been prepared to facilitate the design of earthen covers to control radon emission from uranium mill tailings. Radon emissions from bare and covered uranium mill tailings can be estimated from equations based on diffusion theory. Basic equations are presented for calculating surface radon fluxes from covered tailings, or alternately, the cover thicknesses required to satisfy a given radon flux criterion. Also described is a computer code, RAECOM, for calculating cover thicknesses and surface fluxes. Methods are also described for measuring diffusion coefficients for radon, or for estimating them from empirical correlations. Since long-term soil moisture content is a critical parameter in determining the value of the diffusion coefficient, methods are given for estimating the long-term moisture contents of soils. The effects of cover defects or advection are also discussed and guidelines are given for determining if they are significant. For most practical cases, advection and cover defect effects on radon flux can be neglected. Several examples are given to demonstrate cover design calculations, and an extensive list of references is included. 63 references, 18 figures, 6 tables.

Rogers, V.C.; Nielson, K.K.; Kalkwarf, D.R.

1984-04-01T23:59:59.000Z

291

A loop of SU(2) gauge fields stable under the Yang-Mills flow  

E-Print Network [OSTI]

A loop of SU(2) gauge fields stable under the Yang-Mills flow Daniel Friedan Department of Physics The gradient flow of the Yang-Mills action acts pointwise on closed loops of gauge fields. We construct in perturbations of the loop. The stable loop might play a role in physics as a classical winding mode

Friedan, Daniel

292

Seasonal and Regional Contributors of 1-Hydroxypyrene among Children near a Steel Mill  

Science Journals Connector (OSTI)

...neighborhood of a steel mill located in the southern...sites were chosen based on wind direction and distance...included model II plus south wind; and model IV included...after adjusting for south wind from a steel mill (model III): 30.2...

Mi-Sun Lee; Ki-Do Eum; Kiyoung Lee; Ho Kim; and Domyung Paek

2009-01-01T23:59:59.000Z

293

Modeling of the wet end part of a paper mill with Dymola  

Science Journals Connector (OSTI)

This paper describes the ongoing research on the physical modeling of AssiDomn paper mill in Frvi (Sweden). This project includes the developing of a Modelica base library for thermohydraulic, pulp and paper systems. Up to now, the model ... Keywords: modeling, object-oriented, paper mill

Gianantonio Bortolin; Stefan Borg; Per Olof Gutman

2004-04-01T23:59:59.000Z

294

Effect of Soya Flour on the Lactic Fermentation of Milled Corn  

Science Journals Connector (OSTI)

...Lactic Fermentation of Milled Corn I. A. AKINRELE, A. MAKANJU...for publication 18 November 1968 Corn (Zea mays) is principally eaten...in Nigeria consists of steeping corn in water, then wet-milling, and finally allowing it to turn...

I. A. Akinrele; A. Makanju; C. C. Edwards

1969-01-01T23:59:59.000Z

295

Enviro-Friendly Hydrogen Generation From Steel Mill-Scale via Metal-Steam Reforming  

E-Print Network [OSTI]

Enviro-Friendly Hydrogen Generation From Steel Mill-Scale via Metal-Steam Reforming Abdul of certain metals with steam, called metal- steam reforming (MSR). This technique does not gen- erate any: hydrogen generation; metal-steam reform- ing; mill-scale; nanoscale iron; electron microscopy Hydrogen

Azad, Abdul-Majeed

296

Grant Title: GENERAL MILLS -CHAMPIONS FOR HEALTHY KIDS GRANT Funding Opportunity Number: N/A  

E-Print Network [OSTI]

Grant Title: GENERAL MILLS - CHAMPIONS FOR HEALTHY KIDS GRANT Funding Opportunity Number: N, developed the Champions for Healthy Kids grant program in 2002. Each year since inception, the General Mills Foundation awards 50 grants of $10,000 each to community-based groups that develop creative ways to help

Farritor, Shane

297

Color Removal from Pulp Mill Effluent Using Coal Ash Produced from Georgia Coal Combustion Power Plants  

E-Print Network [OSTI]

/0702/citing-global- warming-georgia-judge-blocks-coal-plant/picture1.jpg/5307532-1-eng-US/picture1.jpgColor Removal from Pulp Mill Effluent Using Coal Ash Produced from Georgia Coal Combustion Power color from pulp mill effluent using coal ash. Prevent coal ash adsorbent from leaching arsenic

Hutcheon, James M.

298

Command Shaping for Micro-Mills and CNC Controllers Joel Fortgang*, William Singhose*, Juan de Juanes Marquez**, Jesus Perez**  

E-Print Network [OSTI]

Command Shaping for Micro-Mills and CNC Controllers Joel Fortgang*, William Singhose*, Juan de-mill which can be implemented with a standard CNC controller. The robustness of this technique to modelling

Singhose, William

299

Experimental and computational investigation of end-milling and development of a simulation model describing the machining process  

E-Print Network [OSTI]

1 Experimental and computational investigation of end-milling and development of a simulation model simulation model, which allows the selection of optimum cutting conditions in end-milling processes, taking

Aristomenis, Antoniadis

300

Total Heart Transplant: A Modern Overview  

E-Print Network [OSTI]

use of the total artificial heart. New England Journal ofJ. (1997). Artificial heart transplants. British medicala total artificial heart as a bridge to transplantation. New

Lingampalli, Nithya

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oilseed milling total" 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

DOE to Transport Moab Mill Tailings by Rail | Department of Energy  

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

to Transport Moab Mill Tailings by Rail to Transport Moab Mill Tailings by Rail DOE to Transport Moab Mill Tailings by Rail August 5, 2008 - 2:40pm Addthis Department Approves Project Baseline and Obtains Nuclear Regulatory Commission Nod WASHINGTON, DC - The U.S. Department of Energy (DOE) today reaffirmed its prior decision to relocate mill tailings predominantly by rail from the former uranium-ore processing site near Moab, Utah, 30 miles north to Crescent Junction, Utah. As determined previously, oversized material that is not practical to be sized to fit into the containers will be transported by truck. "After evaluating the alternatives for safely transporting the mill tailings from Moab and considering input received from citizens in the Moab community and surrounding areas, DOE has decided to ship the tailings using

302

EIS-0355: Remediation of the Moab Uranium Mill Tailings, Grand and San Juan  

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

355: Remediation of the Moab Uranium Mill Tailings, Grand and 355: Remediation of the Moab Uranium Mill Tailings, Grand and San Juan Counties, Utah EIS-0355: Remediation of the Moab Uranium Mill Tailings, Grand and San Juan Counties, Utah Summary The Remediation of the Moab Uranium Mill Tailings, Grand and San Juan Counties, Utah, Environmental Impact Statement and associated supplements and amendments provides information on the environmental impacts of the U.S. Department of Energy's (DOE's) proposal to (1) remediate approximately 11.9 million tons of contaminated materials located on the Moab site and approximately 39,700 tons located on nearby vicinity properties and (2) develop and implement a ground water compliance strategy for the Moab site using the framework of the Programmatic Environmental Impact Statement for the Uranium Mill Tailings Remedial Action Ground Water

303

DOE - Office of Legacy Management -- Riverton Mill Site - WY 0-04  

Office of Legacy Management (LM)

Mill Site - WY 0-04 Mill Site - WY 0-04 FUSRAP Considered Sites Site: Riverton Mill Site (WY.0-04 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Riverton, Wyoming, Processing Site Documents Related to Riverton Mill Site Data Validation Package for the November 2008 Groundwater and Surface Water Sampling at the Riverton, Wyoming, Processing Site. February 2009 U. S. Department of Energy (DOE) Status and Planned Actions at the Riverton, Wyoming, Uranium Mill Tailing Radiation Control Act (UMTRCA) Title I Site April Gil, PhD Environment Team Lead Office of Legacy Management (LM) May 2, 20122 Status and Action Summary 􀂄 Surface

304

DOE - Office of Legacy Management -- Gunnison Mill Site - CO 0-06  

Office of Legacy Management (LM)

Gunnison Mill Site - CO 0-06 Gunnison Mill Site - CO 0-06 FUSRAP Considered Sites Site: Gunnison Mill Site (CO.0-06 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Gunnison, Colorado, Processing Site Documents Related to Gunnison Mill Site Verification Montioring Report for the Gunnison, Colorado, Processing Site, September 2007. 2011 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites-Gunnison, Colorado, Disposal Site. LMS/S08056. January 2012 U.S. Department of Energy 2009 UMTRCA Title I Annual Report January 2010 Gunnison, Colorado Page 8-1 8.0 Gunnison, Colorado, Disposal Site

305

DOE - Office of Legacy Management -- Rifle Mill Site - CO 0-11  

Office of Legacy Management (LM)

Rifle Mill Site - CO 0-11 Rifle Mill Site - CO 0-11 FUSRAP Considered Sites Site: Rifle Mill Site (CO.0-11 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Rifle, Colorado, New Processing Site Rifle, Colorado, Old Processing Site Documents Related to Rifle Mill Site 2009 Verification Monitoring Report for the Old and New Rifle, Colorado, Processing Sites; LMS/RFO/RFN/S05775; September 2009. This report evaluates and interprets groundwater monitoring data collected at the Old and New Rifle Sites and assesses the progress of meeting the compliance strategy for groundwater cleanup. 2012 Annual Site Inspection and Monitoring Report for Uranium Mill

306

DOE - Office of Legacy Management -- Naturita Mill Site - CO 0-08  

Office of Legacy Management (LM)

Naturita Mill Site - CO 0-08 Naturita Mill Site - CO 0-08 FUSRAP Considered Sites Site: Naturita Mill Site (CO.0-08) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Naturita, Colorado, Processing Site Documents Related to Naturita Mill Site Data Validation Package for the July and October 2008 Water Sampling at the Naturita Processing and Disposal Sites Data Validation Report for the July 2009 Groundwater and Surface Water Sampling at the Naturita, Colorado, Processing Site; LMS/NAP/S00709; October 2009 2012 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites-Naturita, Colorado,

307

Process for Transition of Uranium Mill Tailings Radiation Control Act Title  

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

Uranium Mill Tailings Radiation Control Uranium Mill Tailings Radiation Control Act Title II Disposal Sites to the U.S. Department of Energy Office of Legacy Management for Long-Term Surveillance and Maintenance Process for Transition of Uranium Mill Tailings Radiation Control Act Title II Disposal Sites to the U.S. Department of Energy Office of Legacy Management for Long-Term Surveillance and Maintenance Process for Transition of Uranium Mill Tailings Radiation Control Act Title II Disposal Sites to the U.S. Department of Energy Office of Legacy Management for Long-Term Surveillance and Maintenance (March 2012) Process for Transition of Uranium Mill Tailings Radiation Control Act Title II Disposal Sites to the U.S. Department of Energy Office of Legacy Management for Long-Term Surveillance and Maintenance (March 2012)

308

DOE - Office of Legacy Management -- Slick Rock Mill Site - CO 08  

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

Slick Rock Mill Site - CO 08 Slick Rock Mill Site - CO 08 FUSRAP Considered Sites Site: Slick Rock Mill Site (CO.08) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Slick Rock, Colorado, Processing Site Documents Related to Slick Rock Mill Site 2012 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites-Slick Rock, Colorado, Disposal Site. LMS/S09461. February 2013 Verification Monitoring Report for the Slick Rock, Colorado, Processing Sites, 2007 Update June 2008 Office of Legacy Management DOE M/1577 2008 - -L Work Performed Under DOE Contract No. for the U.S.

309

DOE - Office of Legacy Management -- Green River Mill Site - UT 0-01  

Office of Legacy Management (LM)

Green River Mill Site - UT 0-01 Green River Mill Site - UT 0-01 FUSRAP Considered Sites Site: Green River Mill Site (UT.0-01 ) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Green River, Utah, Disposal Site Documents Related to Green River Mill Site Data Validation Package for the June 2009 Groundwater and Surface Water Sampling at the Green River, Utah, Disposal Site; LMS/GRN/S0609; October 2009 2012 Annual Site Inspection and Monitoring Report for Uranium Mill Tailings Radiation Control Act Title I Disposal Sites-Green River, Utah, Disposal Site. LMS/S09461. February 2013 Historic Fact Sheet: Green River Disposal Site Uranium ore was

310

Experimental Research on Ultrasonic Vibration Milling Metal Matrix Composites SiCp/Al  

SciTech Connect (OSTI)

Although particle reinforced metal matrix composites possess excellent physical properties, its machining performance is rather bad because of its specific structure. It is difficult to obtain good cutting effect by traditional machining method. So machining has become the bottleneck which strictly restricts its industry application. This paper mainly focuses on both wear characteristics of different tool materials and material removal mechanism in ultrasonic milling high volume fraction particle reinforced metal matrix composites SiCp/Al. An acoustic device for ultrasonic vibration milling was developed to introduce the ultrasonic vibration into the traditional machining process. Through the contrast experiment of traditional milling and ultrasonic vibration milling SiCp/Al, the mechanism of tool wear and characteristics of surface topography were analyzed. The experimental results showed that the surface integrity and tool life in the ultrasonic vibration milling SiCp/Al were improved.

Gao, G. F.; Zhao, B.; Xiang, D. H.; Zhao, M. L. [School of Mechanical Engineering, Henan Polytechnic University, Jiaozuo (China)

2011-01-17T23:59:59.000Z

311

DOE to Transport Moab Mill Tailings by Rail | Department of Energy  

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

Transport Moab Mill Tailings by Rail Transport Moab Mill Tailings by Rail DOE to Transport Moab Mill Tailings by Rail August 5, 2008 - 2:40pm Addthis Department Approves Project Baseline and Obtains Nuclear Regulatory Commission Nod WASHINGTON, DC - The U.S. Department of Energy (DOE) today reaffirmed its prior decision to relocate mill tailings predominantly by rail from the former uranium-ore processing site near Moab, Utah, 30 miles north to Crescent Junction, Utah. As determined previously, oversized material that is not practical to be sized to fit into the containers will be transported by truck. "After evaluating the alternatives for safely transporting the mill tailings from Moab and considering input received from citizens in the Moab community and surrounding areas, DOE has decided to ship the tailings using

312

Total Imports of Residual Fuel  

Gasoline and Diesel Fuel Update (EIA)

May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History U.S. Total 5,752 5,180 7,707 9,056 6,880 6,008 1936-2013 PAD District 1 1,677 1,689 2,008 3,074 2,135 2,814 1981-2013 Connecticut 1995-2009 Delaware 1995-2012 Florida 359 410 439 392 704 824 1995-2013 Georgia 324 354 434 364 298 391 1995-2013 Maine 65 1995-2013 Maryland 1995-2013 Massachusetts 1995-2012 New Hampshire 1995-2010 New Jersey 903 756 948 1,148 1,008 1,206 1995-2013 New York 21 15 14 771 8 180 1995-2013 North Carolina 1995-2011 Pennsylvania 1995-2013 Rhode Island 1995-2013 South Carolina 150 137 194 209 1995-2013 Vermont 5 4 4 5 4 4 1995-2013 Virginia 32 200 113 1995-2013 PAD District 2 217 183 235 207 247 179 1981-2013 Illinois 1995-2013

313

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Noyes, MN Warroad, MN Babb, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Galvan Ranch, TX LNG Imports from Algeria LNG Imports from Australia LNG Imports from Brunei LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Elba Island, GA Freeport, TX Gulf LNG, MS LNG Imports from Equatorial Guinea LNG Imports from Indonesia LNG Imports from Malaysia LNG Imports from Nigeria Cove Point, MD LNG Imports from Norway Cove Point, MD Freeport, TX Sabine Pass, LA LNG Imports from Oman LNG Imports from Peru Cameron, LA Freeport, TX LNG Imports from Qatar Elba Island, GA Golden Pass, TX Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Sabine Pass, LA LNG Imports from United Arab Emirates LNG Imports from Yemen Everett, MA Freeport, TX Sabine Pass, LA LNG Imports from Other Countries Period: Monthly Annual

314

Natural Gas Total Liquids Extracted  

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

Thousand Barrels) Thousand Barrels) Data Series: Natural Gas Processed Total Liquids Extracted NGPL Production, Gaseous Equivalent Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 658,291 673,677 720,612 749,095 792,481 873,563 1983-2012 Alabama 13,381 11,753 11,667 13,065 1983-2010 Alaska 22,419 20,779 19,542 17,798 18,314 18,339 1983-2012 Arkansas 126 103 125 160 212 336 1983-2012 California 11,388 11,179 11,042 10,400 9,831 9,923 1983-2012 Colorado 27,447 37,804 47,705 57,924 1983-2010 Florida 103 16 1983-2008 Illinois 38 33 24 231 705 0 1983-2012

315

Remedial Action Plan and Site Design for Stabilization of the Inactive Uranium Mill Tailings Site, Maybell, Colorado. Remedial action selection report: Attachment 2, Geology report, Final  

SciTech Connect (OSTI)

The Maybell uranium mill tailings site is 25 miles (mi) (40 kilometers [km]) west of the town of Craig, Colorado, in Moffat County, in the northwestern part of the state. The unincorporated town of Maybell is 5 road mi (8 km) southwest of the site. The designated site covers approximately 110 acres (ac) (45 hectares [ha]) and consists of a concave-shaped tailings pile and rubble from the demolition of the mill buildings buried in the former mill area. Contaminated materials at the Maybell processing site include the tailings pile, which has an average depth of 20 feet (ft) (6 meters [m]) and contains 2.8 million cubic yards (yd{sup 3}) (2.1 million cubic meters [m{sup 3}]) of tailings. The former mill processing area is on the north side of the site and contains 20,000 yd{sup 3} (15,000 m{sup 3}) of contaminated demolition debris. Off-pile contamination is present and includes areas adjacent to the tailings pile, as well as contamination dispersed by wind and surface water flow. The volume of off-pile contamination to be placed in the disposal cell is 550,000 yd{sup 3} (420,000 m{sup 3}). The total volume of contaminated materials to be disposed of as part of the remedial action is estimated to be 3.37 million yd{sup 3} (2.58 million m{sup 3}). Information presented in this Final Remedial Action Plan (RAP) and referenced in supporting documents represents the current disposal cell design features and ground water compliance strategy proposed by the US Department of Energy (DOE) for the Maybell, Colorado, tailings site. Both the disposal cell design and the ground water compliance strategy have changed from those proposed prior to the preliminary final RAP document as a result of prudent site-specific technical evaluations.

Not Available

1994-06-01T23:59:59.000Z

316

Total Petroleum Systems and Assessment Units (AU)  

E-Print Network [OSTI]

Total Petroleum Systems (TPS) and Assessment Units (AU) Field type Surface water Groundwater X X X X X X X X AU 00000003 Oil/ Gas X X X X X X X X Total X X X X X X X Total Petroleum Systems (TPS) and Assessment Units (AU) Field type Total undiscovered petroleum (MMBO or BCFG) Water per oil

Torgersen, Christian

317

Locating and total dominating sets in trees  

Science Journals Connector (OSTI)

A set S of vertices in a graph G = ( V , E ) is a total dominating set of G if every vertex of V is adjacent to a vertex in S. We consider total dominating sets of minimum cardinality which have the additional property that distinct vertices of V are totally dominated by distinct subsets of the total dominating set.

Teresa W. Haynes; Michael A. Henning; Jamie Howard

2006-01-01T23:59:59.000Z

318

Released: June 2010  

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

1 Relative Standard Errors for Table 10.11;" 1 Relative Standard Errors for Table 10.11;" " Unit: Percents." ,,"Coal(b)",,,"Alternative Energy Sources(c)" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","LPG","Other(f)" ,,"Total United States" 311,"Food",5.4,0.9,4.9,9.1,1,2,0,0,3.3 3112," Grain and Oilseed Milling",7.9,2.9,8.4,9.1,2.9,5.9,"X",0,9.1

319

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

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

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

320

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

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

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

Note: This page contains sample records for the topic "oilseed milling total" 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

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

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

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

322

Locating-total domination in graphs  

Science Journals Connector (OSTI)

In this paper, we continue the study of locating-total domination in graphs. A set S of vertices in a graph G is a total dominating set in G if every vertex of G is adjacent to a vertex in S . We consider total dominating sets S which have the additional property that distinct vertices in V ( G ) ? S are totally dominated by distinct subsets of the total dominating set. Such a set S is called a locating-total dominating set in G , and the locating-total domination number of G is the minimum cardinality of a locating-total dominating set in G . We obtain new lower and upper bounds on the locating-total domination number of a graph. Interpolation results are established, and the locating-total domination number in special families of graphs, including cubic graphs and grid graphs, is investigated.

Michael A. Henning; Nader Jafari Rad

2012-01-01T23:59:59.000Z

323

Table 11.5 Electricity: Sales to Utility and Nonutility Purchasers, 2010;  

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

5 Electricity: Sales to Utility and Nonutility Purchasers, 2010; 5 Electricity: Sales to Utility and Nonutility Purchasers, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of NAICS Sales and Utility Nonutility Code(a) Subsector and Industry Transfers Offsite Purchaser(b) Purchaser(c) Total United States 311 Food 347 168 179 3112 Grain and Oilseed Milling 142 6 136 311221 Wet Corn Milling 14 4 10 31131 Sugar Manufacturing 109 88 21 3114 Fruit and Vegetable Preserving and Specialty Foods 66 66 0 3115 Dairy Products 22 0 22 3116 Animal Slaughtering and Processing 0 0 0 312 Beverage and Tobacco Products 1 1 * 3121 Beverages 1 1 * 3122 Tobacco 0 0 0 313 Textile Mills

324

Originally Released: July 2009  

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

2 Nonfuel (Feedstock) Use of Combustible Energy, 2006 2 Nonfuel (Feedstock) Use of Combustible Energy, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources Unit: Trillion Btu. NAICS Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal and Breeze Other(e) Total United States 311 Food 3 0 * 2 * 0 * * 3112 Grain and Oilseed Milling 3 0 * 2 * 0 0 * 311221 Wet Corn Milling * 0 0 0 0 0 0 * 31131 Sugar Manufacturing * 0 * 0 * 0 * 0 3114 Fruit and Vegetable Preserving and Specialty Food * 0 0 0 * 0 0 0 3115 Dairy Product * 0 * * 0 0 0 * 3116 Animal Slaughtering and Processing * 0 * * 0 0 0 * 312 Beverage and Tobacco Products * 0 * 0 * 0 0 0 3121 Beverages * 0 * 0 0 0 0 0 3122 Tobacco * 0 0 0 * 0 0 0 313 Textile Mills 0 0

325

Lake Mills Light & Water | Open Energy Information  

Open Energy Info (EERE)

Water Water Jump to: navigation, search Name Lake Mills Light & Water Place Wisconsin Utility Id 10605 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes ISO MISO Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Cp-1 Small Power Service between 50kW and 200kW Demand Primary Metering and Transformer Ownership Discount with Parallel Generation(20kW or less) Industrial Cp-1 Small Power Service between 50kW and 200kW Demand Primary Metering and Transformer Ownership Discount Industrial

326

Monticello Mill Tailings Site Operable Unit Ill Interim Remedial Action  

Office of Legacy Management (LM)

Site Site Operable Unit Ill Interim Remedial Action Mark Perfxmed Under DOE Contrici No. DE-AC13-96CJ873.35 for th3 U.S. De[:ar!menf of Energy app~oveJioi'ptiL#ic re1ease;dCinWlionis Unlimilra' This page intentionally left blank Monticello Mill Tailings Site Operable Unit I11 Interim Remedial Action Annual Status Report August 1999 Prepared for U.S. Department of Energy Albuquerque Operations Office Grand Junction Office Project Number MSG-035-0011-00-000 Document Number Q0017700 Work Performed Under DOE Contract Number DE-AC13-96GJ87335 Task Order Number MAC99-03 This page intentionally blank Document Number Q0017700 Acronyms Contents Page ACRONYMS .............................................................................................................................. V

327

Monticello Mill Tailings Site Operable Unit III Ecological Risk  

Office of Legacy Management (LM)

Monticello Monticello Mill Tailings Site Operable Unit III Ecological Risk Assessment September 1998 Prepared by U.S. Department of Energy Grand JunctionOffice Grand Junction, Colorado Project Number MSG-035-0004-00-000 Document Number Q0002l 00 Work Performed Under DOE Contract Number DE-AC13-96GJ87335 Task Order Number MAC98-03 This page intentionally blank , ** 1 ( ( Document Number Q00021 00 Contents Contents Page Acronyms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. ix Executive Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. xi 1.0 Introduction I-I 2.0 Problem Formulation : 2-1 2.1 Site Description 2-1 2.1.1 Physical Setting 2-1 2.1.2 Ecological Setting '.' 2-5 2.2 Ecological Contaminants of Concern 2-9 2.3 Contaminant Fate and Transport, Ecosystems Potentially at Risk, and Complete Exposure Pathways 2-11 i3.1

328

Protect and Restore Mill Creek Watershed : Annual Report CY 2005.  

SciTech Connect (OSTI)

The Nez Perce Tribe Department of Fisheries Resource Management, Watershed Division approaches watershed restoration with a ridge-top to ridge-top approach. The Nez Perce Tribe and the Nez Perce National Forest (NPNF) have formed a partnership in completing watershed restoration activities, and through this partnership, more work is accomplished by sharing funding and resources in our effort. The Nez Perce Tribe began watershed restoration projects within the Mill Creek watershed of the South Fork Clearwater River in 2000. Progress has been made in restoring the watershed through excluding cattle from critical riparian areas through fencing. Starting in FY 2002, continuing into 2004, trees were planted in riparian areas in the meadow of the upper watershed. In addition, a complete inventory of culverts at road-stream crossings was completed. Culverts have been prioritized for replacement to accommodate fish passage throughout the watershed, and one high priority culvert was replaced in 2004. Maintenance to the previously built fence was also completed.

McRoberts, Heidi

2006-03-01T23:59:59.000Z

329

U.S. Total Exports  

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

International Falls, MN Noyes, MN Warroad, MN Babb, MT Havre, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT North Troy, VT LNG Imports into Cameron, LA LNG Imports into Cove Point, MD LNG Imports into Elba Island, GA LNG Imports into Everett, MA LNG Imports into Freeport, TX LNG Imports into Golden Pass, TX LNG Imports into Gulf Gateway, LA LNG Imports into Gulf LNG, MS LNG Imports into Lake Charles, LA LNG Imports into Neptune Deepwater Port LNG Imports into Northeast Gateway LNG Imports into Sabine Pass, LA U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Alamo, TX El Paso, TX Galvan Ranch, TX Hidalgo, TX McAllen, TX Penitas, TX LNG Imports from Algeria Cove Point, MD Everett, MA Lake Charles, LA LNG Imports from Australia Everett, MA Lake Charles, LA LNG Imports from Brunei Lake Charles, LA LNG Imports from Canada Highgate Springs, VT LNG Imports from Egypt Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf LNG, MS Lake Charles, LA Northeast Gateway Sabine Pass, LA LNG Imports from Equatorial Guinea Elba Island, GA Lake Charles, LA LNG Imports from Indonesia Lake Charles, LA LNG Imports from Malaysia Gulf Gateway, LA Lake Charles, LA LNG Imports from Nigeria Cove Point, MD Elba Island, GA Freeport, TX Gulf Gateway, LA Lake Charles, LA Sabine Pass, LA LNG Imports from Norway Cove Point, MD Sabine Pass, LA LNG Imports from Oman Lake Charles, LA LNG Imports from Peru Cameron, LA Freeport, TX Sabine Pass, LA LNG Imports from Qatar Cameron, LA Elba Island, GA Golden Pass, TX Gulf Gateway, LA Lake Charles, LA Northeast Gateway Sabine Pass, LA LNG Imports from Trinidad/Tobago Cameron, LA Cove Point, MD Elba Island, GA Everett, MA Freeport, TX Gulf Gateway, LA Gulf LNG, MS Lake Charles, LA Neptune Deepwater Port Northeast Gateway Sabine Pass, LA LNG Imports from United Arab Emirates Lake Charles, LA LNG Imports from Yemen Everett, MA Freeport, TX Neptune Deepwater Port Sabine Pass, LA LNG Imports from Other Countries Lake Charles, LA Period: Monthly Annual

330

Titania Prepared by Ball Milling: Its Characterization and Application as Liquefied Petroleum Gas Sensor  

E-Print Network [OSTI]

Present paper reports the LPG sensing of TiO2 obtained through ball milling. The milled powder was characterized by XRD, TEM and UV-visible spectroscopy. Further the ball milled powder was compressed in to pellet using hydraulic press. This pellet was investigated with the exposure of LPG. Variations in resistance with exposure of LPG to the sensing pellet were recorded. The sensitivity of the sensor was ~ 11 for 5 vol.% of LPG. Response and recovery times of the sensor were ~ 100 and 250 sec. The sensor was quite sensitive to LPG and results were found reproducible within 91%.

Yadav, B C; Singh, Satyendra; Yadav, T P

2012-01-01T23:59:59.000Z

331

A model for feed forward control of chatter in end milling  

E-Print Network [OSTI]

research topic over the years, as it is widely used in industry due to its suitability for machining of complex shapes. In 1975, Tlusty and MacNeil [6] published a paper on the dynamics of the cutting forces in end milling. The paper explained... coefficient was used there to describe the milling process. In order to have stability regions with broad information about a range of milling cuts, Smith and Tlusty (1993) [9] developed an efficient simulation program for chatter. An improved model...

Dassanayake, Achala Viomy

2002-01-01T23:59:59.000Z

332

Using treated municipal wastewater in a linerboard mill -- legal, political, and technical issues  

SciTech Connect (OSTI)

When plans to expand production at an antiquated mill were jeopardized by an inadequate source of process water, the mill explored the possibility of producing first-quality linerboard using treated municipal wastewater. This paper outlines the legal, technical, and political issues encountered in developing a plan that would allow the mill to use effluent from a municipal wastewater treatment system. The technology is available to make reuse of municipal wastewater feasible, as evidence by the closed-loop delivery and discharge system describe in this report. Nevertheless, legal and political concerns make the implementation process arduous and time consuming.

Bowen, W. (Montville Water Pollution Control Authority, Montville, CT (United States)); Scogin, R. (Rand-Whitney Containerboard, L.P., Montville, CT (United States)); Cobery, J.E. (Bingham, Dana and Gould, Boston, MA (United States))

1994-10-01T23:59:59.000Z

333

Final purification of synthetic olive oil mill wastewater treated by chemical oxidation using ion exchange: Study of operating parameters  

Science Journals Connector (OSTI)

Abstract In this research work, ion exchange (IE) is presented as a suitable option for purification of olive oil mill wastewater (OMW) previously treated by means of a secondary treatment (OMWST). This pretreatment consisted in Fenton-like oxidation process, followed by coagulationflocculation and filtration through olive stones. The parametric requirements for drinking water production or at least for public waterways discharge were achieved using a combination of two IE columns working in series at bench scale. The IE resins used in this study were Dowex Marathon C and Amberlite IRA-67. The effect of contact time, operating temperature and flow rate on simultaneous removal of sodium, total iron, chloride and phenols (the major pollutant species in OMWST) were investigated. Removal percentages of sodium, chloride and total iron increased with incrementing the contact time. Equilibrium was obtained in about 30min for all ions and ion concentrations values determined were lower than the maximum levels for drinking water standards. On the other hand, adsorption efficiencies of sodium, total iron and chloride ions were found to be not considerably affected by the operating temperature. The highest phenols removal percentage (around 100%) was obtained in the first minutes for 298K and 10L/h.

M.D. Vctor-Ortega; J.M. Ochando-Pulido; G. Hodaifa; A. Martinez-Ferez

2014-01-01T23:59:59.000Z

334

State Residential Commercial Industrial Transportation Total  

Gasoline and Diesel Fuel Update (EIA)

schedules 4A-D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total 2012 Total Electric Industry- Average Retail Price (centskWh) (Data from...

335

Total cost model for making sourcing decisions  

E-Print Network [OSTI]

This thesis develops a total cost model based on the work done during a six month internship with ABB. In order to help ABB better focus on low cost country sourcing, a total cost model was developed for sourcing decisions. ...

Morita, Mark, M.B.A. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

336

Team Total Points Beta Theta Pi 2271  

E-Print Network [OSTI]

Bubbles 40 Upset City 30 Team Success 30 #12;Team Total Points Sly Tye 16 Barringer 15 Fire Stinespring 15

Buehrer, R. Michael

337

DOE Amends Decision for the Remediation of the Moab Uranium Mill Tailings  

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

Amends Decision for the Remediation of the Moab Uranium Mill Amends Decision for the Remediation of the Moab Uranium Mill Tailings in Moab, Utah DOE Amends Decision for the Remediation of the Moab Uranium Mill Tailings in Moab, Utah February 29, 2008 - 11:43am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced an amendment to its 2005 Record of Decision (ROD) for the Moab Uranium Mill Tailings Remedial Action (UMTRA) Project to allow for the use of truck or rail in transporting residual radioactive materials from the Moab site in Utah. These materials will be relocated to a new disposal site 30 miles north at Crescent Junction, Utah. "The Department is committed to ensuring the protection of human health and the environment in the Moab area and in the communities served by the Colorado River," Assistant Secretary for Environmental Management Jim

338

DOE - Office of Legacy Management -- Monument Valley Mill Site - AZ 0-01  

Office of Legacy Management (LM)

Monument Valley Mill Site - AZ 0-01 Monument Valley Mill Site - AZ 0-01 FUSRAP Considered Sites Site: Monument Valley Mill Site (AZ.0-01) Designated Name: Alternate Name: Location: Evaluation Year: Site Operations: Site Disposition: Radioactive Materials Handled: Primary Radioactive Materials Handled: Radiological Survey(s): Site Status: Also see Monument Valley, Arizona, Processing Site Documents Related to Monument Valley Mill Site Data Validation Package for the June 2009 Water Sampling at the Monument Valley, Arizona, Processing Site; LMS/MON/S0609; October 2009 Natural and Enhanced Attenuation of Soil and Ground Water at Monument Valley, Arizona, and Shiprock, New Mexico 2006 Status Report June 2008 Data Validation Package for 2007 Groundwater Sampling at the Monument Valley, AZ Processing Site

339

SURVEY OF ROLLING MILL USED BY BETHLEHEM STEEL CORPORATION LACKAWANNA, NEW YORK  

Office of Legacy Management (LM)

SURVEY OF ROLLING MILL USED BY SURVEY OF ROLLING MILL USED BY BETHLEHEM STEEL CORPORATION LACKAWANNA, NEW YORK Work performed by the Health and Safety Research Division Gak Ridge fiational Laboratory Oak Ridge, Tennessee 37830 September 1980 OAK RIDGE NATIONAL LABORATORY operated by UNION CARBIDE CORPORATION for the DEPARTMENT OF ENERGY as part of the Formerly Utilized Sites!- Remedial Action Program SURVEY OF ROLLING MILL USED BY BETHLEHEM STEEL CORPORATION LACKAWANNA, NEW YORK A radiological survey was conducted at the Bethelem Steel Corporation Plant in Lackawanna, New York, on September 23, 1980, by representatives of Oak Ridge National Laboratory (ORNL). The subject of the radiological survey was a portion of the original 25.4-cm (lo-inch) bar mill used in converting uranium billets into 3.8-cm rods. All radiation survey

340

Trapping and excitation of modes in the magnetotail Katharine J. Mills and Andrew N. Wrighta)  

E-Print Network [OSTI]

Trapping and excitation of modes in the magnetotail Katharine J. Mills and Andrew N. Wrighta wind speed, Dungey obtained a value of about 1000 RE for the length of the magnetotail. Magnetometer

Wright, Andrew N.

Note: This page contains sample records for the topic "oilseed milling total" 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

Multi-Instanton Measure from Recursion Relations in N = 2 Supersymmetric Yang-Mills Theory  

Science Journals Connector (OSTI)

By using the recursion relations found in the framework of N = 2 Super Yang-Mills theory with gauge group SU(2), we reconstruct the structure of the instanton moduli space and its volume form for all winding numbers.

Marco Matone

2001-01-01T23:59:59.000Z

342

Kelvin-Helmholtz driven modes of the magnetosphere Katharine J. Mills and Andrew N. Wright  

E-Print Network [OSTI]

Kelvin-Helmholtz driven modes of the magnetosphere Katharine J. Mills and Andrew N. Wright to the speed of the upstream solar wind,1 with a significant increase in amplitude for solar wind speeds above

Wright, Andrew N.

343

Case Study of Optimal Byproduct Gas Distribution in Integrated Steel Mill Using Multi-Period Optimization  

E-Print Network [OSTI]

? ? ? Case Study of Optimal Byproduct Gas Distribution in Integrated Steel Mill Using Multi-Period Optimization KIMMO M?KINEN BUSINESS MANAGER TONI KYM?L?INEN PRODUCT MANAGER JAAKKO JUNTTILA SALES MANAGER ABB OY HELSINKI FINLAND...

Makinen, K.; Kymalainen, T.; Junttila, J.

2012-01-01T23:59:59.000Z

344

E-Print Network 3.0 - amorphous ball-milled powders Sample Search...  

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

Vols. 2-6 (1999) pp. 375-380. 375 Summary: of Nanoporous Carbon Powders Produced by High Energy Ball Milling and Formation of Carbon Nanotubes During... Procedure Graphite powder...

345

Economic Modeling of Energy Supply from Burning Wood Wastes at British Columbia Pulp and Paper Mills  

Science Journals Connector (OSTI)

This paper analyzes the use of wood wastes to replace the extensive fossil-fuel consumption ... Columbia, and the further use of wood wastes to produce electricity at these mills. The ... would be willing to pay ...

A. J. Cox

1980-01-01T23:59:59.000Z

346

Extraction and Functional Properties of Non-Zein Proteins in Corn Germ from Wet-Milling  

Science Journals Connector (OSTI)

This study was conducted to evaluate the extractability of wet-milled corn germ protein, characterize the recovered protein and ... potential applications. Protein was extracted from both wet germ and finished (d...

Mila P. Hojilla-Evangelista

2012-01-01T23:59:59.000Z

347

Improved Solubility and Emulsification of Wet-Milled Corn Germ Protein Recovered by UltrafiltrationDiafiltration  

Science Journals Connector (OSTI)

This study evaluated UltrafiltrationDiafiltration (UFDF) as a means to improve the extractability of wet-milled corn germ protein and determined its effects on ... functional properties of the recovered protein ...

Mila P. Hojilla-Evangelista

2014-09-01T23:59:59.000Z

348

Demand side management of a run-of-mine ore milling circuit  

Science Journals Connector (OSTI)

Increasing electricity costs coupled with lower prices for some metals such as platinum group metals require a reevaluation of the operation of grinding processes. Demand side management (DSM) has received increasing attention in the field of industrial control as an opportunity to reduce operating costs. DSM through grinding mill power load shifting is presented in this paper using model predictive control and a real-time optimizer. Simulation results indicate that mill power load shifting can potentially achieve cost reductions of $9.90 per kg of unrefined product when applied to a run-of-mine (ROM) ore milling circuit processing platinum bearing ore. DSM is however still not economically feasible when there is a demand to continuously run the milling circuit at maximum throughput.

B. Matthews; I.K. Craig

2013-01-01T23:59:59.000Z

349

Optimization of cutting parameters in end milling using tool life as an objective function  

E-Print Network [OSTI]

milling has been chosen because of its many versatile applications in the industry. The optimization model has the flexibility to accept any combination of tool and workpiece material, in order to perform the optimization. The background...

Das, Arindam

2001-01-01T23:59:59.000Z

350

High-Capacity High-Energy Ball Mill for Nanophase Materials  

Science Journals Connector (OSTI)

A high-energy high-capacity ball mill, which can be easily ... scaled-up, for the synthesis of nanophase materials is described. The synthesis of nanophase iron...

Diego Basset; Paolo Matteazzi; Fabio Miani

1994-01-01T23:59:59.000Z

351

Improvement in commercial scale dry mill corn ethanol production using controlled flow cavitation and cellulose hydrolysis  

Science Journals Connector (OSTI)

During commercial-scale dry-mill ethanol production from corn, as much as 6 ... In this study, two methods to improve ethanol production during commercial-scale corn ethanol production were tested that release an...

David A. Ramirez-Cadavid; Oleg Kozyuk

2014-09-01T23:59:59.000Z

352

Ball nose milling cutter radius compensation in Z axis for CNC  

Science Journals Connector (OSTI)

A new AutoCAD/VisualLISP based method to substitute the 3D tool radius compensation in Z axis for CNC milling processes is here described. Specific features of VisualLISP programming language combined with AutoCAD facilities are used to gather the data ... Keywords: AutoCAD VisualLISP, CNC milling, Z axis compensation, complex shaped parts, tool radius compensation

Dragoi Mircea Viorel

2009-02-01T23:59:59.000Z

353

Effect of high temperature on fruit set of selected genotypes of Lycopersicon esculentum mill.  

E-Print Network [OSTI]

EFFECT OF HIGH TEMPERATURE ON FRUIT SET OF SELECTED GENOTYPES OF LYCOPERSICON ESCULENTUM MILL. A Thesis by ROBERT KEVAN BARRINGER Submitted to the Graduate College of Texas A&M University in partial fullfillment of the requirements... for the degree of MASTER OF SCIENCE December 1982 Major Subject: Horticulture EFFECT OF HIGH TEMPERATURE ON FRUIT SET OF SELECTED GENOTYPES OF LYCOPERSICON ESCULENTUM MILL. A Thes(s by ROBERT KEVAN BARRINGER Approved as to style and content by: Chalrma...

Barringer, Robert Kevan

1982-01-01T23:59:59.000Z

354

Million Cu. Feet Percent of National Total  

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

38 38 Nevada - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S30. Summary statistics for natural gas - Nevada, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 4 4 4 3 4 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 4 4 4 3 4

355

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Idaho - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

356

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Washington - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S49. Summary statistics for natural gas - Washington, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

357

Million Cu. Feet Percent of National Total  

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

0 0 Maine - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S21. Summary statistics for natural gas - Maine, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0

358

Million Cu. Feet Percent of National Total  

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

8 8 Minnesota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

359

Million Cu. Feet Percent of National Total  

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

2 2 South Carolina - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

360

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 North Carolina - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

Note: This page contains sample records for the topic "oilseed milling total" 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

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Iowa - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S17. Summary statistics for natural gas - Iowa, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0

362

Million Cu. Feet Percent of National Total  

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

4 4 Massachusetts - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

363

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Minnesota - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

364

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 New Jersey - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

365

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Vermont - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S47. Summary statistics for natural gas - Vermont, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

366

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Wisconsin - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S51. Summary statistics for natural gas - Wisconsin, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0 0 0

367

Million Cu. Feet Percent of National Total  

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

8 8 North Carolina - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

368

Million Cu. Feet Percent of National Total  

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

2 2 New Jersey - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

369

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Maryland - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 7 7 7 7 8 Production (million cubic feet) Gross Withdrawals From Gas Wells 35 28 43 43 34 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 35

370

Million Cu. Feet Percent of National Total  

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

0 0 New Hampshire - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S31. Summary statistics for natural gas - New Hampshire, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

371

Million Cu. Feet Percent of National Total  

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

2 2 Maryland - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 7 7 7 8 9 Production (million cubic feet) Gross Withdrawals From Gas Wells 28 43 43 34 44 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 28

372

Million Cu. Feet Percent of National Total  

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

2 2 Missouri - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S27. Summary statistics for natural gas - Missouri, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 53 100 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

373

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Massachusetts - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

374

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 South Carolina - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

375

Million Cu. Feet Percent of National Total  

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

0 0 Rhode Island - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S41. Summary statistics for natural gas - Rhode Island, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0 Total 0

376

Compare All CBECS Activities: Total Energy Use  

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

Total Energy Use Total Energy Use Compare Activities by ... Total Energy Use Total Major Fuel Consumption by Building Type Commercial buildings in the U.S. used a total of approximately 5.7 quadrillion Btu of all major fuels (electricity, natural gas, fuel oil, and district steam or hot water) in 1999. Office buildings used the most total energy of all the building types, which was not a surprise since they were the most common commercial building type and had an above average energy intensity. Figure showing total major fuel consumption by building type. If you need assistance viewing this page, please call 202-586-8800. Major Fuel Consumption per Building by Building Type Because there were relatively few inpatient health care buildings and they tend to be large, energy intensive buildings, their energy consumption per building was far above that of any other building type.

377

TotalView Parallel Debugger at NERSC  

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

Totalview Totalview Totalview Description TotalView from Rogue Wave Software is a parallel debugging tool that can be run with up to 512 processors. It provides both X Windows-based Graphical User Interface (GUI) and command line interface (CLI) environments for debugging. The performance of the GUI can be greatly improved if used in conjunction with free NX software. The TotalView documentation web page is a good resource for learning more about some of the advanced TotalView features. Accessing Totalview at NERSC To use TotalView at NERSC, first load the TotalView modulefile to set the correct environment settings with the following command: % module load totalview Compiling Code to Run with TotalView In order to use TotalView, code must be compiled with the -g option. We

378

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

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

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

379

Million Cu. Feet Percent of National Total  

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

6 6 Tennessee - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 285 310 230 210 212 Production (million cubic feet) Gross Withdrawals From Gas Wells 4,700 5,478 5,144 4,851 5,825 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

380

Million Cu. Feet Percent of National Total  

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

2 2 Connecticut - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S7. Summary statistics for natural gas - Connecticut, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

Note: This page contains sample records for the topic "oilseed milling total" 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

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Oregon - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 18 21 24 26 24 Production (million cubic feet) Gross Withdrawals From Gas Wells 409 778 821 1,407 1,344 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

382

Million Cu. Feet Percent of National Total  

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

6 6 District of Columbia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

383

Million Cu. Feet Percent of National Total  

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

6 6 Oregon - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 21 24 26 24 27 Production (million cubic feet) Gross Withdrawals From Gas Wells 778 821 1,407 1,344 770 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

384

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Georgia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S11. Summary statistics for natural gas - Georgia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

385

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Delaware - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

386

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 District of Columbia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

387

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Tennessee - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 305 285 310 230 210 Production (million cubic feet) Gross Withdrawals From Gas Wells NA 4,700 5,478 5,144 4,851 From Oil Wells 3,942 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

388

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Nebraska - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S29. Summary statistics for natural gas - Nebraska, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 186 322 285 276 322 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,331 2,862 2,734 2,092 1,854 From Oil Wells 228 221 182 163 126 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

389

Million Cu. Feet Percent of National Total  

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

0 0 Georgia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S11. Summary statistics for natural gas - Georgia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

390

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Connecticut - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S7. Summary statistics for natural gas - Connecticut, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

391

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Florida - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S10. Summary statistics for natural gas - Florida, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 2,000 2,742 290 13,938 17,129 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

392

Million Cu. Feet Percent of National Total  

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

4 4 Delaware - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0 0 0 0 0

393

ARM - Measurement - Shortwave spectral total downwelling irradiance  

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

Shadowband Spectroradiometer SPEC-TOTDN : Shortwave Total Downwelling Spectrometer UAV-EGRETT : UAV-Egrett Value-Added Products VISST : Minnis Cloud Products Using Visst...

394

,"New York Natural Gas Total Consumption (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Total Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","12312014"...

395

Total Supplemental Supply of Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Product: Total Supplemental Supply Synthetic Propane-Air Refinery Gas Biomass Other Period: Monthly Annual Download Series History Download Series History Definitions, Sources &...

396

Total Natural Gas Gross Withdrawals (Summary)  

Gasoline and Diesel Fuel Update (EIA)

Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to...

397

Million Cu. Feet Percent of National Total  

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

0 0 Indiana - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S16. Summary statistics for natural gas - Indiana, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 525 563 620 914 819 Production (million cubic feet) Gross Withdrawals From Gas Wells 4,701 4,927 6,802 9,075 8,814 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

398

Selective enrichment of a methanol-utilizing consortium using pulp & paper mill waste streams  

SciTech Connect (OSTI)

Efficient utilization of carbon inputs is critical to the economic viability of the current forest products sector. Input carbon losses occur in various locations within a pulp mill, including losses as volatile organics and wastewater . Opportunities exist to capture this carbon in the form of value-added products such as biodegradable polymers. Waste activated sludge from a pulp mill wastewater facility was enriched for 80 days for a methanol-utilizing consortium with the goal of using this consortium to produce biopolymers from methanol-rich pulp mill waste streams. Five enrichment conditions were utilized: three high-methanol streams from the kraft mill foul condensate system, one methanol-amended stream from the mill wastewater plant, and one methanol-only enrichment. Enrichment reactors were operated aerobically in sequencing batch mode at neutral pH and 25C with a hydraulic residence time and a solids retention time of four days. Non-enriched waste activated sludge did not consume methanol or reduce chemical oxygen demand. With enrichment, however, the chemical oxygen demand reduction over 24 hour feed/decant cycles ranged from 79 to 89 %, and methanol concentrations dropped below method detection limits. Neither the non-enriched waste activated sludge nor any of the enrichment cultures accumulated polyhydroxyalkanoates (PHAs) under conditions of nitrogen sufficiency. Similarly, the non-enriched waste activated sludge did not accumulate PHAs under nitrogen limited conditions. By contrast, enriched cultures accumulated PHAs to nearly 14% on a dry weight basis under nitrogen limited conditions. This indicates that selectively-enriched pulp mill waste activated sludge can serve as an inoculum for PHA production from methanol-rich pulp mill effluents.

Gregory R. Mockos; William A. Smith; Frank J. Loge; David N. Thompson

2007-04-01T23:59:59.000Z

399

Table 7.10 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2010;  

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

0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2010; 0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam; Unit: Million U.S. Dollars. Electricity Components Natural Gas Electricity Electricity from Sources Natural Gas NAICS Electricity from Local Other than Natural Gas from Local Code(a) Subsector and Industry Total Utility(b) Local Utility(c) Total Utility(b) Total United States 311 Food 5,328 4,635 692 3,391 1,675 3112 Grain and Oilseed Milling 932 850 82 673 261 311221 Wet Corn Milling 352 331 21 296 103 31131 Sugar Manufacturing 105 87 18 87 39 3114 Fruit and Vegetable Preserving and Specialty Foods 698

400

Proceedings of The South African Sugar Technologists ' Association- June 1995 IMPROVING OLDER SUGAR MILL BOILERS IL BOSHOFF  

E-Print Network [OSTI]

Improvements which can be made to sugar mill boilers when they are being moved or in situ, are listed. Examples of such improvements are given.

unknown authors

Note: This page contains sample records for the topic "oilseed milling total" 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

Performance Assessment and Recommendations for Rejuvenation of a Permeable Reactive Barrier: Cotter Corporations Caon City, Colorado, Uranium Mill  

Broader source: Energy.gov [DOE]

Performance Assessment and Recommendations for Rejuvenation of a Permeable Reactive Barrier: Cotter Corporations Canon City, Colorado, Uranium Mill (April 2005)

402

Burning mill sludge in a fluidized-bed incinerator and waste-heat-recovery system; Ten years of successful operation  

SciTech Connect (OSTI)

This paper reports on burning mill sludge in a fluidized-bed incinerator and waste-heat-recovery system. In the late 1970s, the Lielahti sulfite mill of G.A. Serlachius Corp. (now Metsa Serla Oy) began investigating alternative methods of sludge disposal. The mill had an annual capacity of 100,000 tons of bleached pulp, generated 80,000 tons of by-product lignin sulfonates, and specialized in dissolving pulps. Because of the end product's high quality requirements, the mill had a low pulp yield and high losses in the form of both dissolved and suspended solids.

Nickull, O. (Metsa Serla, Oy (FI)); Lehtonen, O. (Tampella Ltd., Tampere (FI)); Mullen, J. (Tampella Keeler, Williamsport, PA (US))

1991-03-01T23:59:59.000Z

403

Total Synthesis of Irciniastatin A (Psymberin)  

E-Print Network [OSTI]

Total Synthesis of Irciniastatin A (Psymberin) Michael T. Crimmins,* Jason M. Stevens, and Gregory, North Carolina 27599 crimmins@email.unc.edu Received July 21, 2009 ABSTRACT The total synthesis of a hemiaminal and acid chloride to complete the synthesis. In 2004, Pettit and Crews independently reported

404

TOTAL REFLUX OPERATION OF MULTIVESSEL BATCH DISTILLATION  

E-Print Network [OSTI]

TOTAL REFLUX OPERATION OF MULTIVESSEL BATCH DISTILLATION BERND WITTGENS, RAJAB LITTO, EVA S RENSEN a generalization of previously proposed batch distillation schemes. A simple feedback control strategy for total re verify the simulations. INTRODUCTION Although batch distillation generally is less energy e cient than

Skogestad, Sigurd

405

ENERGY EFFICIENCY OPPORTUNITIES IN THE U.S. PULP AND PAPER INDUSTRY  

E-Print Network [OSTI]

NAICS Code Sub-Sector Pulp mills Paper (except newsprint) mills Newsprint mills Paperboard mills Total % of Total Total Black Liquor Natural Gas

Kramer, Klaas Jan

2010-01-01T23:59:59.000Z

406

Helium ion beam milling to create a nano-structured domain wall magnetoresistance spin valve  

Science Journals Connector (OSTI)

We have fabricated and measured single domain wall magnetoresistance devices with sub-20nm gap widths using a novel combination of electron beam lithography and helium ion beam milling. The measurement wires and external profile of the spin valve are fabricated by electron beam lithography and lift-off. The critical bridge structure is created using helium ion beam milling, enabling the formation of a thinner gap (and so a narrower domain wall) than that which is possible with electron beam techniques alone. Four-point probe resistance measurements and scanning electron microscopy are used to characterize the milled structures and optimize the He ion dose. Successful operation of the device as a spin valve is demonstrated, with a 0.2% resistance change as the external magnetic field is cycled. The helium ion beam milling efficiency as extracted from electrical resistance measurements is 0.044atoms/ion, about half the theoretical value. The gap in the device is limited to a maximum of 20nm with this technique due to sub-surface swelling caused by injected ions which can induce catastrophic failure in the device. The fine patterning capabilities of the helium ion microscope milling technique indicate that sub-5nm constriction widths could be possible.

Yudong Wang; S A Boden; D M Bagnall; H N Rutt; C H de Groot

2012-01-01T23:59:59.000Z

407

Microstructural refinement and strengthening of Cu-4 Cr-2 Nb alloy by mechanical milling  

SciTech Connect (OSTI)

Lately, a variety of dispersion strengthened (DS) copper alloys that provide a good combination of thermal/electrical conductivity and mechanical strength have been developed. Strengthening is usually achieved by the introduction of a ceramic, refractory metal or intermetallic secondary phase. Cu-Cr-Nb is one such DS alloy in which strengthening is provided by Cr{sub 2}Nb intermetallic particles. Mechanical milling of as-atomized Cu-4 Cr-2 Nb alloy powders substantially increases the mechanical strength (hardness) of the starting material. This is achieved through a drastic grain size, as well as large precipitate size refinement. A more uniform precipitate distribution is also attained. Whether milling is performed with steel or WC vial and balls the hardness saturates at approximately 100 HRB after about 4 hr milling. However, this benefit of MM was offset by an equally severe decrease in electrical conductivity. This decrease is attributed to impurities/contamination from the milling media introduced into the milled powder, primarily, Fe and C, or, WC and Co.

Anderson, K.R.; Groza, J.R. [Univ. of California, Davis, CA (United States). Dept. of Chemical Engineering and Materials Science] [Univ. of California, Davis, CA (United States). Dept. of Chemical Engineering and Materials Science; Ulmer, D.G. [Rockwell International, Canoga Park, CA (United States). Rocketdyne Div.] [Rockwell International, Canoga Park, CA (United States). Rocketdyne Div.

1997-07-15T23:59:59.000Z

408

Microscopic mechanisms of metastable phase formation during ball milling of intermetallic TiAl phases  

SciTech Connect (OSTI)

Powders of the intermetallic equilibrium phases {alpha}{sub 2}-Ti{sub 3}Al, {gamma}-TiAl and TiAl{sub 3} were ball milled in order to investigate the microscopic origins of the energetic destabilization and the transformation into metastable phases during the milling process. It was found that the intermetallic phases were chemically partially disordered on milling followed by the transformation into solid solution phases after long milling. In detail, for the {gamma} phase, the formation of numerous deformation twins, thin h.c.p. lamellae and lamellae of the 9R phase formed by an antitwin operation was observed by TEM. The disordering of the D0{sub 22}-TiAl{sub 3} phase occurred inhomogeneously in the material via the formation of antiphase boundaries on (001) planes, resulting in a f.c.c. solid solution in the final state. In summary, it can be concluded that the formation of the observed metastable phases results from chemical disordering, whereas the excess enthalpy of grain boundaries plays only a minor role for the energetical destabilization of the intermetallic compounds during milling in this case.

Klassen, T.; Oehring, M.; Bormann, R. [GKSS Research Centre, Geesthacht (Germany)] [GKSS Research Centre, Geesthacht (Germany)

1997-09-01T23:59:59.000Z

409

Moab Project Disposes 2 Million Tons of Uranium Mill Tailings with Recovery Act Funds  

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

The Moab Uranium Mill Tailings Remedial Action The Moab Uranium Mill Tailings Remedial Action Project reached its primary American Recovery and Reinvestment Act milestone ahead of schedule on Wednesday with the disposal of 2 million tons of uranium mill tailings. The project had originally planned to ship 2 million tons of tailings with Recovery Act funds. Now, Recovery Act workers are surpass- ing that goal. "Although shipping 2 million tons was the original Recovery Act goal, we are planning to exceed this goal by shipping about 300,000 tons more using savings resulting from efficiencies we've gained in our first 2 years of moving tailings," Moab Federal Project Director Donald Metzler said. The project is using $108 million from the Recovery Act to move the tailings from the banks of the Colorado River by rail to a permanent

410

Monticello Mill Tailings Site Operable Unit I11 Remedial Investigation Addendum1  

Office of Legacy Management (LM)

Monticello Mill Tailings Site Monticello Mill Tailings Site Operable Unit I11 Remedial Investigation Addendum1 Focused Feasibility Study January 2004 Prepared by U.S. Department of Energy Grand Junction, Colorado Work performed under DOE Contract No. DE-AC1342GJ79491 DOE Task Order No. ST03-205 Document N u m b e r Q0029500 S i g t ~ a t u r e Page Signature Page Monticello Mill Tailings Site Operable Unit I11 Remedial Investigation Addendud Focused Feasibility Study January 2004 Submitted By: Arthur W. Kleinrath, Project Manager U.S. Department of Energy, Grand Junction, Colorado U.S. Department of Energyat Gmnd Junction MMTS OU 111 Remedial Investigation AddendutdFocuscd Feasibilily Study January 2004 Final iii This page intentionally left blank Document Number Q0029500 Contents U.S. Department of Energy at Grand Junction MMTS OU III Remedial Investigation Addendum/Focused Feasibility Study

411

Assessment of the radiological impact of the inactive uranium-mill tailings at Mexican Hat, Utah  

SciTech Connect (OSTI)

High surface soil concentrations of /sup 226/Ra and high above-ground measurements of gamma-ray intensity in the vicinity of the inactive uranium-mill tailings at Mexican Hat show both wind and water erosion of the tailings. The former mill area, occupied by a trade school at the time of this survey, shows a comparatively high level of contamination, probably from unprocessed ore on the surface of the ore storage area near the location of the former mill buildings. However, the estimated health effect of exposure to gamma rays during a 2000-hr work year in the area represents an increase of 0.1% in the risk of death from cancer. Exposure of less than 600 persons within 1.6 km of the tailings to radon daughters results in an estimated 0.2%/year increase in risk of lung cancer.

Haywood, F.F.; Goldsmith, W.A.; Ellis, B.S.; Hubbard, H.M. Jr.; Fox, W.F.; Shinpaugh, W.H.

1980-03-01T23:59:59.000Z

412

Radiological survey of the inactive uranium-mill tailings at Rifle, Colorado  

SciTech Connect (OSTI)

Results of radiological surveys of two inactive uranium-mill sites near Rifle, Colorado, in May 1976 are presented. These sites are referred to as Old Rifle and New Rifle. The calculated /sup 226/Ra inventory of the latter site is much higher than at the older mill location. Data on above-ground measurements of gamma exposure rates, surface and near-surface concentration of /sup 226/Ra in soil and sediment samples, concentration of /sup 226/Ra in water, calculated subsurface distribution of /sup 226/Ra, and particulate radionuclide concentrations in air samples are given. The data serve to define the extent of contamination in the vicinity of the mill sites and their immediate surrounding areas with tailings particles. Results of these measurements were utilized as technical input for an engineering assessment of these two sites.

Haywood, F.F.; Jacobs, D.J.; Ellis, B.S.; Hubbard, H.M. Jr.; Shinpaugh, W.H.

1980-06-01T23:59:59.000Z

413

DOE Awards Contract for Moab Mill Tailings Cleanup | Department of Energy  

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

Moab Mill Tailings Cleanup Moab Mill Tailings Cleanup DOE Awards Contract for Moab Mill Tailings Cleanup November 4, 2011 - 12:00pm Addthis Media Contact Bill Taylor bill.taylor@srs.gov 803-952-8564 Cincinnati- The Department of Energy (DOE) announced today that it has awarded a competitive small business contract worth $121.2 million over the next five years as part of the Department's continued efforts to protect the Colorado River and downstream water users by removing uranium tailings at the former Atlas uranium-ore processing facility in Moab, Utah. Portage, Inc., a small business based in Idaho Falls, Idaho, will be leading the new contract. "The Moab project has the potential of being one of the Department of Energy's most successful environmental cleanup projects," Donald

414

Million Cu. Feet Percent of National Total  

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

8 8 Illinois - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S15. Summary statistics for natural gas - Illinois, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 45 51 50 40 40 Production (million cubic feet) Gross Withdrawals From Gas Wells E 1,188 E 1,438 E 1,697 2,114 2,125 From Oil Wells E 5 E 5 E 5 7 0 From Coalbed Wells E 0 E 0 0 0 0 From Shale Gas Wells 0

415

Million Cu. Feet Percent of National Total  

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

50 50 North Dakota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 194 196 188 239 211 Production (million cubic feet) Gross Withdrawals From Gas Wells 13,738 11,263 10,501 14,287 22,261 From Oil Wells 54,896 45,776 38,306 27,739 17,434 From Coalbed Wells 0

416

Million Cu. Feet Percent of National Total  

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

0 0 Mississippi - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 2,343 2,320 1,979 5,732 1,669 Production (million cubic feet) Gross Withdrawals From Gas Wells 331,673 337,168 387,026 429,829 404,457 From Oil Wells 7,542 8,934 8,714 8,159 43,421 From Coalbed Wells 7,250

417

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Virginia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S48. Summary statistics for natural gas - Virginia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 5,735 6,426 7,303 7,470 7,903 Production (million cubic feet) Gross Withdrawals From Gas Wells R 6,681 R 7,419 R 16,046 R 23,086 20,375 From Oil Wells 0 0 0 0 0 From Coalbed Wells R 86,275 R 101,567

418

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Michigan - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S24. Summary statistics for natural gas - Michigan, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 9,712 9,995 10,600 10,100 11,100 Production (million cubic feet) Gross Withdrawals From Gas Wells R 80,090 R 16,959 R 20,867 R 7,345 18,470 From Oil Wells 54,114 10,716 12,919 9,453 11,620 From Coalbed Wells 0

419

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Montana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S28. Summary statistics for natural gas - Montana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 6,925 7,095 7,031 6,059 6,477 Production (million cubic feet) Gross Withdrawals From Gas Wells R 69,741 R 67,399 R 57,396 R 51,117 37,937 From Oil Wells 23,092 22,995 21,522 19,292 21,777 From Coalbed Wells

420

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Mississippi - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 2,315 2,343 2,320 1,979 5,732 Production (million cubic feet) Gross Withdrawals From Gas Wells R 259,001 R 331,673 R 337,168 R 387,026 429,829 From Oil Wells 6,203 7,542 8,934 8,714 8,159 From Coalbed Wells

Note: This page contains sample records for the topic "oilseed milling total" 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

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Indiana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S16. Summary statistics for natural gas - Indiana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 2,350 525 563 620 914 Production (million cubic feet) Gross Withdrawals From Gas Wells 3,606 4,701 4,927 6,802 9,075 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0 0 0 0 0 From Shale Gas Wells 0

422

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 New York - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S34. Summary statistics for natural gas - New York, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 6,680 6,675 6,628 6,736 6,157 Production (million cubic feet) Gross Withdrawals From Gas Wells 54,232 49,607 44,273 35,163 30,495 From Oil Wells 710 714 576 650 629 From Coalbed Wells 0

423

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Texas - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S45. Summary statistics for natural gas - Texas, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 76,436 87,556 93,507 95,014 100,966 Production (million cubic feet) Gross Withdrawals From Gas Wells R 4,992,042 R 5,285,458 R 4,860,377 R 4,441,188 3,794,952 From Oil Wells 704,092 745,587 774,821 849,560 1,073,301

424

Million Cu. Feet Percent of National Total  

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

2 2 Ohio - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 34,416 34,963 34,931 46,717 35,104 Production (million cubic feet) Gross Withdrawals From Gas Wells 79,769 83,511 73,459 30,655 65,025 From Oil Wells 5,072 5,301 4,651 45,663 6,684 From Coalbed Wells 0

425

Million Cu. Feet Percent of National Total  

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

0 0 Colorado - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 25,716 27,021 28,813 30,101 32,000 Production (million cubic feet) Gross Withdrawals From Gas Wells 496,374 459,509 526,077 563,750 1,036,572 From Oil Wells 199,725 327,619 338,565

426

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 South Dakota - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S43. Summary statistics for natural gas - South Dakota, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 71 71 89 102 100 Production (million cubic feet) Gross Withdrawals From Gas Wells 422 R 1,098 R 1,561 1,300 933 From Oil Wells 11,458 10,909 11,366 11,240 11,516 From Coalbed Wells 0 0

427

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Illinois - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S15. Summary statistics for natural gas - Illinois, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 43 45 51 50 40 Production (million cubic feet) Gross Withdrawals From Gas Wells RE 1,389 RE 1,188 RE 1,438 RE 1,697 2,114 From Oil Wells E 5 E 5 E 5 E 5 7 From Coalbed Wells RE 0 RE

428

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Colorado - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 22,949 25,716 27,021 28,813 30,101 Production (million cubic feet) Gross Withdrawals From Gas Wells R 436,330 R 496,374 R 459,509 R 526,077 563,750 From Oil Wells 160,833 199,725 327,619

429

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Alaska - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 239 261 261 269 277 Production (million cubic feet) Gross Withdrawals From Gas Wells 165,624 150,483 137,639 127,417 112,268 From Oil Wells 3,313,666 3,265,401 3,174,747 3,069,683 3,050,654

430

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

0 0 Ohio - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 34,416 34,416 34,963 34,931 46,717 Production (million cubic feet) Gross Withdrawals From Gas Wells R 82,812 R 79,769 R 83,511 R 73,459 30,655 From Oil Wells 5,268 5,072 5,301 4,651 45,663 From Coalbed Wells

431

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

4 4 Kentucky - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S19. Summary statistics for natural gas - Kentucky, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 16,563 16,290 17,152 17,670 14,632 Production (million cubic feet) Gross Withdrawals From Gas Wells 95,437 R 112,587 R 111,782 133,521 122,578 From Oil Wells 0 1,529 1,518 1,809 1,665 From Coalbed Wells 0

432

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

8 8 Utah - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S46. Summary statistics for natural gas - Utah, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 5,197 5,578 5,774 6,075 6,469 Production (million cubic feet) Gross Withdrawals From Gas Wells R 271,890 R 331,143 R 340,224 R 328,135 351,168 From Oil Wells 35,104 36,056 36,795 42,526 49,947 From Coalbed Wells

433

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 California - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S5. Summary statistics for natural gas - California, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 1,540 1,645 1,643 1,580 1,308 Production (million cubic feet) Gross Withdrawals From Gas Wells 93,249 91,460 82,288 73,017 63,902 From Oil Wells R 116,652 R 122,345 R 121,949 R 151,369 120,880

434

Million Cu. Feet Percent of National Total  

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

0 0 Utah - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S46. Summary statistics for natural gas - Utah, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 5,578 5,774 6,075 6,469 6,900 Production (million cubic feet) Gross Withdrawals From Gas Wells 331,143 340,224 328,135 351,168 402,899 From Oil Wells 36,056 36,795 42,526 49,947 31,440 From Coalbed Wells 74,399

435

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Louisiana - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S20. Summary statistics for natural gas - Louisiana, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 18,145 19,213 18,860 19,137 21,235 Production (million cubic feet) Gross Withdrawals From Gas Wells R 1,261,539 R 1,288,559 R 1,100,007 R 911,967 883,712 From Oil Wells 106,303 61,663 58,037 63,638 68,505

436

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 Oklahoma - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S38. Summary statistics for natural gas - Oklahoma, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 38,364 41,921 43,600 44,000 41,238 Production (million cubic feet) Gross Withdrawals From Gas Wells R 1,583,356 R 1,452,148 R 1,413,759 R 1,140,111 1,281,794 From Oil Wells 35,186 153,227 92,467 210,492 104,703

437

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

2 2 New Mexico - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S33. Summary statistics for natural gas - New Mexico, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 42,644 44,241 44,784 44,748 32,302 Production (million cubic feet) Gross Withdrawals From Gas Wells R 657,593 R 732,483 R 682,334 R 616,134 556,024 From Oil Wells 227,352 211,496 223,493 238,580 252,326

438

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 West Virginia - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S50. Summary statistics for natural gas - West Virginia, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 48,215 49,364 50,602 52,498 56,813 Production (million cubic feet) Gross Withdrawals From Gas Wells R 189,968 R 191,444 R 192,896 R 151,401 167,113 From Oil Wells 701 0 0 0 0 From Coalbed Wells

439

Million Cu. Feet Percent of National Total  

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

6 6 Michigan - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S24. Summary statistics for natural gas - Michigan, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 9,995 10,600 10,100 11,100 10,900 Production (million cubic feet) Gross Withdrawals From Gas Wells 16,959 20,867 7,345 18,470 17,041 From Oil Wells 10,716 12,919 9,453 11,620 4,470 From Coalbed Wells 0

440

Million Cu. Feet Percent of National Total  

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

8 8 West Virginia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S50. Summary statistics for natural gas - West Virginia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 49,364 50,602 52,498 56,813 50,700 Production (million cubic feet) Gross Withdrawals From Gas Wells 191,444 192,896 151,401 167,113 397,313 From Oil Wells 0 0 0 0 1,477 From Coalbed Wells 0

Note: This page contains sample records for the topic "oilseed milling total" 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

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

80 80 Wyoming - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S52. Summary statistics for natural gas - Wyoming, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 27,350 28,969 25,710 26,124 26,180 Production (million cubic feet) Gross Withdrawals From Gas Wells R 1,649,284 R 1,764,084 R 1,806,807 R 1,787,599 1,709,218 From Oil Wells 159,039 156,133 135,269 151,871 152,589

442

Million Cu. Feet Percent of National Total  

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

6 6 New York - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S34. Summary statistics for natural gas - New York, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 6,675 6,628 6,736 6,157 7,176 Production (million cubic feet) Gross Withdrawals From Gas Wells 49,607 44,273 35,163 30,495 25,985 From Oil Wells 714 576 650 629 439 From Coalbed Wells 0

443

Million Cu. Feet Percent of National Total  

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

2 2 Wyoming - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S52. Summary statistics for natural gas - Wyoming, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 28,969 25,710 26,124 26,180 22,171 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,764,084 1,806,807 1,787,599 1,709,218 1,762,095 From Oil Wells 156,133 135,269 151,871 152,589 24,544

444

Million Cu. Feet Percent of National Total  

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

4 4 Virginia - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S48. Summary statistics for natural gas - Virginia, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 6,426 7,303 7,470 7,903 7,843 Production (million cubic feet) Gross Withdrawals From Gas Wells 7,419 16,046 23,086 20,375 21,802 From Oil Wells 0 0 0 0 9 From Coalbed Wells 101,567 106,408

445

Million Cu. Feet Percent of National Total  

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

6 6 Kentucky - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S19. Summary statistics for natural gas - Kentucky, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 16,290 17,152 17,670 14,632 17,936 Production (million cubic feet) Gross Withdrawals From Gas Wells 112,587 111,782 133,521 122,578 106,122 From Oil Wells 1,529 1,518 1,809 1,665 0 From Coalbed Wells 0

446

Million Cu. Feet Percent of National Total  

Gasoline and Diesel Fuel Update (EIA)

6 6 Pennsylvania - Natural Gas 2011 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S40. Summary statistics for natural gas - Pennsylvania, 2007-2011 2007 2008 2009 2010 2011 Number of Producing Gas Wells at End of Year 52,700 55,631 57,356 44,500 54,347 Production (million cubic feet) Gross Withdrawals From Gas Wells 182,277 R 188,538 R 184,795 R 173,450 242,305 From Oil Wells 0 0 0 0 0 From Coalbed Wells 0

447

Total synthesis and study of myrmicarin alkaloids  

E-Print Network [OSTI]

I. Enantioselective Total Synthesis of Tricyclic Myrmicarin Alkaloids An enantioselective gram-scale synthesis of a key dihydroindolizine intermediate for the preparation of myrmicarin alkaloids is described. Key transformations ...

Ondrus, Alison Evelynn, 1981-

2009-01-01T23:59:59.000Z

448

Total synthesis of cyclotryptamine and diketopiperazine alkaloids  

E-Print Network [OSTI]

I. Total Synthesis of the (+)-12,12'-Dideoxyverticillin A The fungal metabolite (+)-12,12'-dideoxyverticillin A, a cytotoxic alkaloid isolated from a marine Penicillium sp., belongs to a fascinating family of densely ...

Kim, Justin, Ph. D. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

449

Provides Total Tuition Charge to Source Contribution  

E-Print Network [OSTI]

,262 1,938 TGR 4-20 0-3 2,871 2,871 - % of time appointed Hours of Work/Week Units TAL Provides Total

Kay, Mark A.

450

Enantioselective Total Synthesis of (?)-Acylfulvene and (?)- Irofulven  

E-Print Network [OSTI]

We report our full account of the enantioselective total synthesis of (?)-acylfulvene (1) and (?)-irofulven (2), which features metathesis reactions for the rapid assembly of the molecular framework of these antitumor ...

Movassaghi, Mohammad

451

A GENUINELY HIGH ORDER TOTAL VARIATION DIMINISHING ...  

E-Print Network [OSTI]

(TVD) schemes solving one-dimensional scalar conservation laws degenerate to first order .... where the total variation is measured by the standard bounded variation ..... interval Ij and into the jump discontinuities at cell interfaces, see [12].

452

Million Cu. Feet Percent of National Total  

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

8 8 Texas - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S45. Summary statistics for natural gas - Texas, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 87,556 93,507 95,014 100,966 96,617 Production (million cubic feet) Gross Withdrawals From Gas Wells 5,285,458 4,860,377 4,441,188 3,794,952 3,619,901 From Oil Wells 745,587 774,821 849,560 1,073,301 860,675

453

Million Cu. Feet Percent of National Total  

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

0 0 Alabama - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S1. Summary statistics for natural gas - Alabama, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 6,860 6,913 7,026 7,063 6,327 Production (million cubic feet) Gross Withdrawals From Gas Wells 158,964 142,509 131,448 116,872 114,407 From Oil Wells 6,368 5,758 6,195 5,975 10,978

454

Million Cu. Feet Percent of National Total  

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

8 8 Louisiana - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S20. Summary statistics for natural gas - Louisiana, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 19,213 18,860 19,137 21,235 19,792 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,288,559 1,100,007 911,967 883,712 775,506 From Oil Wells 61,663 58,037 63,638 68,505 49,380

455

Million Cu. Feet Percent of National Total  

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

4 4 South Dakota - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S43. Summary statistics for natural gas - South Dakota, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 71 89 102 100 95 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,098 1,561 1,300 933 14,396 From Oil Wells 10,909 11,366 11,240 11,516 689 From Coalbed Wells 0 0 0 0 0

456

Million Cu. Feet Percent of National Total  

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

4 4 Kansas - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S18. Summary statistics for natural gas - Kansas, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 17,862 21,243 22,145 25,758 24,697 Production (million cubic feet) Gross Withdrawals From Gas Wells 286,210 269,086 247,651 236,834 264,610 From Oil Wells 45,038 42,647 39,071 37,194 0 From Coalbed Wells 44,066

457

Million Cu. Feet Percent of National Total  

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

6 6 Arkansas - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S4. Summary statistics for natural gas - Arkansas, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 5,592 6,314 7,397 8,388 8,538 Production (million cubic feet) Gross Withdrawals From Gas Wells 173,975 164,316 152,108 132,230 121,684 From Oil Wells 7,378 5,743 5,691 9,291 3,000

458

Million Cu. Feet Percent of National Total  

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

8 8 California - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S5. Summary statistics for natural gas - California, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 1,645 1,643 1,580 1,308 1,423 Production (million cubic feet) Gross Withdrawals From Gas Wells 91,460 82,288 73,017 63,902 120,579 From Oil Wells 122,345 121,949 151,369 120,880 70,900

459

Million Cu. Feet Percent of National Total  

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

4 4 Oklahoma - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S38. Summary statistics for natural gas - Oklahoma, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 41,921 43,600 44,000 41,238 40,000 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,452,148 1,413,759 1,140,111 1,281,794 1,394,859 From Oil Wells 153,227 92,467 210,492 104,703 53,720

460

Million Cu. Feet Percent of National Total  

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

2 2 Alaska - Natural Gas 2012 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2008-2012 2008 2009 2010 2011 2012 Number of Producing Gas Wells at End of Year 261 261 269 277 185 Production (million cubic feet) Gross Withdrawals From Gas Wells 150,483 137,639 127,417 112,268 107,873 From Oil Wells 3,265,401 3,174,747 3,069,683 3,050,654 3,056,918

Note: This page contains sample records for the topic "oilseed milling total" 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

Pulp and Paper Mills: Profiting for Efficient Motor System Use | ENERGY  

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

Pulp and Paper Mills: Profiting for Efficient Motor System Use Pulp and Paper Mills: Profiting for Efficient Motor System Use Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

462

Microsoft Word - PS-MST-MILLING-2012-05-22.doc  

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

71.doc 1 (03/2012) 71.doc 1 (03/2012) BROOKHAVEN NATIONAL LABORATORY MACHINE SHOP SAFE WORK PRACTICES EVALUATION FORM Dept./Div.: PS______ Machine: PhoSci MSJPM Milling Machine (PS-MST-MILLING) Machine Shop Supervisor's Name(s): Employee Name: _________________________________ Life Number: Competencies Date Completed Evaluated By (Initials) Comments 1. State BNL policy for use of eye protection in machine shops. 2. Identify main disconnect for tool and explain the requirement for access to it. 3. Identify all controls and describe their functions. 4. Identify all machine guards and describe their functions. 5. Explain the process when defects are found. 6. Demonstrate safe work practices while performing

463

Direct-write milling of diamond by a focused oxygen ion beam  

E-Print Network [OSTI]

Recent advances in focused ion beam technology have enabled high-resolution, direct-write nanofabrication using light ions. Studies with light ions to date have, however, focused on milling of materials where sub-surface ion beam damage does not inhibit device performance. Here we report on direct-write milling of single crystal diamond using a focused beam of oxygen ions. Material quality is assessed by Raman and luminescence analysis, and reveals that the damage layer generated by oxygen ions can be removed by nonintrusive post-processing methods such as localised electron beam induced chemical etching.

Martin, Aiden A; Botman, Aurelien; Toth, Milos; Aharonovich, Igor

2015-01-01T23:59:59.000Z

464

Sociologically imagined: the decentering of C. Wright Mills, the postmodern cowboy  

E-Print Network [OSTI]

the image as symbol as opposed to language, perhaps the most enduring and aptly appropriate image of Mills is that of him in leather jacket and gloves, donning riding boots and riding-goggles, helmetless on his BMW motorcycle with the wind blowing through... the image as symbol as opposed to language, perhaps the most enduring and aptly appropriate image of Mills is that of him in leather jacket and gloves, donning riding boots and riding-goggles, helmetless on his BMW motorcycle with the wind blowing through...

Kerr, Keith Thomas

2009-05-15T23:59:59.000Z

465

Extended Kalman Filter Based Neural Networks Controller For Hot Strip Rolling mill  

SciTech Connect (OSTI)

The present paper deals with the application of an Extended Kalman filter based adaptive Neural-Network control scheme to improve the performance of a hot strip rolling mill. The suggested Neural Network model was implemented using Bayesian Evidence based training algorithm. The control input was estimated iteratively by an on-line extended Kalman filter updating scheme basing on the inversion of the learned neural networks model. The performance of the controller is evaluated using an accurate model estimated from real rolling mill input/output data, and the usefulness of the suggested method is proved.

Moussaoui, A. K. [Electrical Engineering Laboratory of Guelma (LGEG), BP.401, University of Guelma, 24000 (Algeria); Abbassi, H. A.; Bouazza, S. [Universite Badji Mokhtar BP 12--23000-Annaba Algerie (Algeria)

2008-06-12T23:59:59.000Z

466

Bayesian models for elevated disease risk due to exposure to uranium mine and mill waste on the Navajo Nation  

E-Print Network [OSTI]

ForReview Only Bayesian models for elevated disease risk due to exposure to uranium mine and mill of Pharmacy, Community Environmental Health Program Keywords: abandoned uranium mines, conditionally specified to ex- posure to uranium mine and mill waste on the Navajo Nation Glenn A. Stark University of New

Huerta, Gabriel

467

| Los Alamos National Laboratory | Total Scattering Developments forTotal Scattering Developments for  

E-Print Network [OSTI]

Laboratory | Total Scattering at the Lujan Center Neutron Powder Diffractometer (NPDF) High-Intensity Powder. Shoemaker, et al., Reverse Monte Carlo neutron scattering study of disordered crystalline materials neutron| Los Alamos National Laboratory | Total Scattering Developments forTotal Scattering Developments

Magee, Joseph W.

468

TOTAL ORE PROCESSING INTEGRATION AND MANAGEMENT  

SciTech Connect (OSTI)

The lessons learned from ore segregation test No.3 were presented to Minntac Mine personnel during the reporting period. Ore was segregated by A-Factor, with low values going to Step 1/2 and high values going to Step 3. During the test, the mine maintained the best split possible for the given production and location constraints. During the test, Step 1&2 A-Factor was lowered more than Step 3 was raised. All other ore quality changes were not manipulated, but the segregation by A-Factor affected most of the other qualities. Magnetic iron, coarse tails, fine tails, silica, and grind changed in response to the split. Segregation was achieved by adding ore from HIS to the Step 3 blend and lowering the amount of LC 1&2 and somewhat lowering the amount of LC 3&4. Conversely, Step 1&2 received less HIS with a corresponding increase in LC 1&2. The amount of IBC was increased to both Steps about one-third of the way into the test. For about the center half of the test, LC 3&4 was reduced to both Steps. The most noticeable layer changes were, then: an increase in the HIS split; a decrease in the LC 1&2 split; adding IBC to both Steps; and lowering LC 3&4 to both Steps. Statistical analysis of the dataset collected during ordinary, non-segregated operation of the mine and mill is continuing. Graphical analysis of blast patterns according to drill monitor data was slowed by student classwork. It is expected to resume after the semester ends in May.

Leslie Gertsch; Richard Gertsch

2005-05-16T23:59:59.000Z

469

Originally Released: July 2009  

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

1 Nonfuel (Feedstock) Use of Combustible Energy, 2006 1 Nonfuel (Feedstock) Use of Combustible Energy, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources Unit: Physical Units or Btu. Coke Residual Distillate Natural Gas(c) LPG and Coal and Breeze NAICS Total Fuel Oil Fuel Oil(b) (billion NGL(d) (million (million Other(e) Code(a) Subsector and Industry (trillion Btu) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 3 0 * 2 * 0 * * 3112 Grain and Oilseed Milling 3 0 * 2 * 0 0 * 311221 Wet Corn Milling * 0 0 0 0 0 0 * 31131 Sugar Manufacturing * 0 * 0 * 0 * 0 3114 Fruit and Vegetable Preserving and Specialty Food * 0 0 0 * 0 0 0 3115 Dairy Product * 0 * * 0 0 0 * 3116 Animal Slaughtering and Processing

470

Table 11.3 Electricity: Components of Onsite Generation, 2010;  

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

3 Electricity: Components of Onsite Generation, 2010; 3 Electricity: Components of Onsite Generation, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood NAICS Total Onsite and Code(a) Subsector and Industry Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States 311 Food 5,666 5,414 81 171 3112 Grain and Oilseed Milling 3,494 3,491 Q 2 311221 Wet Corn Milling 3,213 3,211 0 2 31131 Sugar Manufacturing 1,382 1,319 64 0 3114 Fruit and Vegetable Preserving and Specialty Foods 336 325 Q * 3115 Dairy Products 38 36 1 1 3116 Animal Slaughtering and Processing 19 Q Q 14 312 Beverage and Tobacco Products 342 238 Q 7 3121 Beverages 308 204 Q 7 3122 Tobacco 34

471

Released: July 2009  

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

2 Relative Standard Errors for Table 3.2, 2006;" 2 Relative Standard Errors for Table 3.2, 2006;" " Unit: Percents." " "," " "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)" ,,"Total United States" 311,"Food",5.5,4.1,21.5,13.1,7.1,15.7,1.1,0,35.7 3112," Grain and Oilseed Milling",3.3,4.7,19.1,2.1,3.9,65.9,1.3,"X",22.1 311221," Wet Corn Milling",0,0,0,0,0,0,0,"X",0

472

Table 2.1 Nonfuel (Feedstock) Use of Combustible Energy, 2010;  

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

1 Nonfuel (Feedstock) Use of Combustible Energy, 2010; 1 Nonfuel (Feedstock) Use of Combustible Energy, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Residual Distillate Natural Gas(c) LPG and Coal and Breeze NAICS Total Fuel Oil Fuel Oil(b) (billion NGL(d) (million (million Other(e) Code(a) Subsector and Industry (trillion Btu) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 10 * * 4 Q 0 0 2 3112 Grain and Oilseed Milling 6 0 * 1 Q 0 0 2 311221 Wet Corn Milling 2 0 0 0 0 0 0 2 31131 Sugar Manufacturing * 0 * 0 * 0 0 * 3114 Fruit and Vegetable Preserving and Specialty Foods 1 * * 1 * 0 0 * 3115 Dairy Products Q 0 * * * 0 0 * 3116 Animal Slaughtering and Processing

473

Table 1.1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2010;  

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

1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; 1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Physical Units or Btu. Coke and Shipments Net Residual Distillate Natural Gas(e) LPG and Coal Breeze of Energy Sources NAICS Total(b) Electricity(c) Fuel Oil Fuel Oil(d) (billion NGL(f) (million (million Other(g) Produced Onsite(h) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) (trillion Btu) Total United States 311 Food 1,162 75,407 2 4 567 2 8 * 96 * 3112 Grain and Oilseed Milling 355 16,479 * * 119 Q 6 0 47 * 311221 Wet Corn Milling 215 7,467 * * 51 * 5 0 26 0 31131 Sugar Manufacturing

474

Table 3.1 Fuel Consumption, 2010;  

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

1 Fuel Consumption, 2010; 1 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Net Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,158 75,407 2 4 563 1 8 * 99 3112 Grain and Oilseed Milling 350 16,479 * * 118 * 6 0 45 311221 Wet Corn Milling 214 7,467 * * 51 * 5 0 25 31131 Sugar Manufacturing 107 1,218 * * 15 * 2 * 36 3114 Fruit and Vegetable Preserving and Specialty Foods 143 9,203

475

Originally Released: August 2009  

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

August 2009 August 2009 Revised: October 2009 Next MECS will be conducted in 2010 Table 3.5 Selected Byproducts in Fuel Consumption, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. Waste Blast Pulping Liquor Oils/Tars NAICS Furnace/Coke Petroleum or Wood Chips, and Waste Code(a) Subsector and Industry Total Oven Gases Waste Gas Coke Black Liquor Bark Materials Total United States 311 Food 10 0 3 0 0 7 Q 3112 Grain and Oilseed Milling 7 0 1 0 0 6 * 311221 Wet Corn Milling 5 0 * 0 0 4 0 31131 Sugar Manufacturing 1 0 0 0 0 1 0 3114 Fruit and Vegetable Preserving and Specialty Food Q 0 * 0 0 0 Q 3115 Dairy Product * 0 * 0 0 0 0 3116 Animal Slaughtering and Processing 1 0 1 0 0 * * 312 Beverage and Tobacco Products

476

Originally Released: July 2009  

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

4.1 Offsite-Produced Fuel Consumption, 2006; 4.1 Offsite-Produced Fuel Consumption, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,124 73,551 4 3 618 1 7 * 45 3112 Grain and Oilseed Milling 316 15,536 * * 115 * 5 0 28 311221 Wet Corn Milling 179 6,801 * * 51 * 4 0 8 31131 Sugar Manufacturing 67 974 1 * 17 * 1 * 4 3114 Fruit and Vegetable Preserving and Specialty Food 168 9,721

477

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

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

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

478

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

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

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

479

Table 4.1 Offsite-Produced Fuel Consumption, 2010;  

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

1 Offsite-Produced Fuel Consumption, 2010; 1 Offsite-Produced Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,113 75,673 2 4 563 1 8 * 54 3112 Grain and Oilseed Milling 346 16,620 * * 118 * 6 0 41 311221 Wet Corn Milling 214 7,481 * * 51 * 5 0 25 31131 Sugar Manufacturing 72 1,264 * * 15 * 2 * * 3114 Fruit and Vegetable Preserving and Specialty Foods 142 9,258 * Q 97

480

Originally Released: July 2009  

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

1 Fuel Consumption, 2006; 1 Fuel Consumption, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources Unit: Physical Units or Btu Coke Net Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,186 73,440 4 3 618 1 7 * 107 3112 Grain and Oilseed Milling 317 15,464 * * 115 * 5 0 30 311221 Wet Corn Milling 179 6,746 * * 51 * 4 0 9 31131 Sugar Manufacturing 82 968 1 * 17 * 1 * 20 3114 Fruit and Vegetable Preserving and Specialty Food 169 9,708 * * 123 * * 0 4 3115 Dairy Product

Note: This page contains sample records for the topic "oilseed milling total" from the National Library of EnergyBeta (NLEBeta).
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481

Energy Perspectives, Total Energy - Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Total Energy Total Energy Glossary › FAQS › Overview Data Monthly Annual Analysis & Projections this will be filled with a highchart PREVIOUSNEXT Energy Perspectives 1949-2011 September 2012 PDF | previous editions Release Date: September 27, 2012 Introduction Energy Perspectives is a graphical overview of energy history in the United States. The 42 graphs shown here reveal sweeping trends related to the Nation's production, consumption, and trade of energy from 1949 through 2011. Energy Flow, 2011 (Quadrillion Btu) Total Energy Flow diagram image For footnotes see here. Energy can be grouped into three broad categories. First, and by far the largest, is the fossil fuels-coal, petroleum, and natural gas. Fossil fuels have stored the sun's energy over millennia past, and it is primarily

482

Property:TotalValue | Open Energy Information  

Open Energy Info (EERE)

TotalValue TotalValue Jump to: navigation, search This is a property of type Number. Pages using the property "TotalValue" Showing 25 pages using this property. (previous 25) (next 25) 4 44 Tech Inc. Smart Grid Demonstration Project + 10,000,000 + A ALLETE Inc., d/b/a Minnesota Power Smart Grid Project + 3,088,007 + Amber Kinetics, Inc. Smart Grid Demonstration Project + 10,000,000 + American Transmission Company LLC II Smart Grid Project + 22,888,360 + American Transmission Company LLC Smart Grid Project + 2,661,650 + Atlantic City Electric Company Smart Grid Project + 37,400,000 + Avista Utilities Smart Grid Project + 40,000,000 + B Baltimore Gas and Electric Company Smart Grid Project + 451,814,234 + Battelle Memorial Institute, Pacific Northwest Division Smart Grid Demonstration Project + 177,642,503 +

483

ARM - Measurement - Net broadband total irradiance  

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

govMeasurementsNet broadband total irradiance govMeasurementsNet broadband total irradiance ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Net broadband total irradiance The difference between upwelling and downwelling, covering longwave and shortwave radiation. Categories Radiometric Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those recorded for diagnostic or quality assurance purposes. ARM Instruments EBBR : Energy Balance Bowen Ratio Station SEBS : Surface Energy Balance System External Instruments ECMWF : European Centre for Medium Range Weather Forecasts Model

484

SolarTotal | Open Energy Information  

Open Energy Info (EERE)

SolarTotal SolarTotal Jump to: navigation, search Name SolarTotal Place Bemmel, Netherlands Zip 6681 LN Sector Solar Product The company sells and installs PV solar instalations Coordinates 51.894112°, 5.89881° 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":51.894112,"lon":5.89881,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

485

Total Cross Sections for Neutron Scattering  

E-Print Network [OSTI]

Measurements of neutron total cross-sections are both extensive and extremely accurate. Although they place a strong constraint on theoretically constructed models, there are relatively few comparisons of predictions with experiment. The total cross-sections for neutron scattering from $^{16}$O and $^{40}$Ca are calculated as a function of energy from $50-700$~MeV laboratory energy with a microscopic first order optical potential derived within the framework of the Watson expansion. Although these results are already in qualitative agreement with the data, the inclusion of medium corrections to the propagator is essential to correctly predict the energy dependence given by the experiment.

C. R. Chinn; Ch. Elster; R. M. Thaler; S. P. Weppner

1994-10-19T23:59:59.000Z

486

National Fuel Cell and Hydrogen Energy Overview: Total Energy...  

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

and Hydrogen Energy Overview: Total Energy USA 2012 National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 Presentation by Sunita Satyapal at the Total Energy USA...

487

The BF Formalism for Yang-Mills Theory and the `t Hooft Algebra  

E-Print Network [OSTI]

The deformation of a topological field theory, namely the pure BF theory, gives the first order formulation of Yang-Mills theory; Feynman rules are given and the standard uv-behaviour is recovered. In this formulation new non local observables can be introduced following the topological theory and giving an explicit realization of `t Hooft algebra.

Maurizio Martellini; Mauro Zeni

1996-10-13T23:59:59.000Z

488

BismuthCeramic Nanocomposites with Unusual Thermal Stability via High-Energy Ball Milling**  

E-Print Network [OSTI]

Bismuth±Ceramic Nanocomposites with Unusual Thermal Stability via High-Energy Ball Milling, nanostructured bismuth±ceramic nanocomposites with unusual thermal stabil- ity. These materials contain a high. Important for electrical and thermoelectric applications, the ceramic phase is electrically and thermally

Braun, Paul

489

Internet Time Synchronization: the Network Time Protocol 1,2,3 David L. Mills  

E-Print Network [OSTI]

the Internet backbone networks and gateways are carefully engineered for good service, op­ erating speedsInternet Time Synchronization: the Network Time Protocol 1,2,3 David L. Mills Electrical), which is designed to distribute time information in a large, diverse internet system operating at speeds

Mills, David L.

490

Internet Time Synchronization: the Network Time Protocol1,2,3 David L. Mills  

E-Print Network [OSTI]

Internet Time Synchronization: the Network Time Protocol1,2,3 David L. Mills Electrical Engineering is designed to distribute time information in a large, diverse internet system operating at speeds from and resulted in the designation of NTP as an Internet Standard protocol. The NTP synchronization system, which

Mills, David L.

491

Timber Products' Mississippi mill earns formaldehyde certification Tuesday, February 10, 2009 -Modern Woodworking  

E-Print Network [OSTI]

., have been certified to meet the California Air Resources Board (CARB) requirements. Timber Products of the California Air Resources Board (CARB). Corinth's designation means that all Timber Products hardwood plywoodTimber Products' Mississippi mill earns formaldehyde certification Tuesday, February 10, 2009

492

Shifting Identities in South Kansas City: Hickman Mills's Transformation from a Suburban to Urban School District  

E-Print Network [OSTI]

and students. The study's five chapters present an analysis of fifty years (1950-2000) of the history of Hickman Mills, a small community on the south side of Kansas City, Missouri. The history of the school district and the neighborhoods it served reveals...

Rife, Aaron Tyler

2014-08-31T23:59:59.000Z

493

The milling process monitoring using 3D envelope method BISU Claudiu1,a  

E-Print Network [OSTI]

over the past decades that measure vibration (acceleration) [3], dynamic force [4], acoustic emission monitored, vibration measurement has been widely adopted as a popular tool. Effective utilization proposes a method to vibration analysis in order to on-line monitoring of milling process quality. Adapting

Paris-Sud XI, Université de

494

SEP Success Story: Biomass Burner Cogenerates Jobs and Electricity from Lumber Mill Waste  

Broader source: Energy.gov [DOE]

A dedicated group of small business owners are using a $771,000 Recovery Act grant from the Energy Departments State Energy Program and $4 million from the U.S. Forest Service to purchase the shuttered Springdale Lumber timber mill and install a combined heat and power (CHP) system. Learn more.

495

LLaannggeerrhhaannss LLaabb PPrroottooccoollss Handling of Dead Fish at Yates Mill Facility  

E-Print Network [OSTI]

LLaannggeerrhhaannss LLaabb PPrroottooccoollss Handling of Dead Fish at Yates Mill Facility If a study fish is found dead, preserve it and return it to the lab for DRILL recording. If you are going to DCL shortly after finding the fish: 1. Put it in a plastic bag and bring it to DCL. 2. Put

Langerhans, Brian

496

A Robust MPC Design for Hot Rolling Mills: A Polyhedral Invariant Sets Approach  

E-Print Network [OSTI]

rolling stands. The rolled strip is cooled down by spraying water in a run­out table and coiled by a down stand i+1th stand main motor ASR ASR/ACR looper-tension control system tension looper roll M strip looper motor looper main motor ASR M Fig. 2. Tension and looper control in finishing mills: ASR

497

Radon releases from Australian uranium mining and milling projects: assessing the UNSCEAR approach  

Science Journals Connector (OSTI)

The release of radon gas and progeny from the mining and milling of uranium-bearing ores has long been recognised as a potential radiological health hazard. The standards for exposure to radon and progeny have decreased over time as the understanding of their health risk has improved. In recent years there has been debate on the long-term releases (10,000 years) of radon from uranium mining and milling sites, focusing on abandoned, operational and rehabilitated sites. The primary purpose has been estimates of the radiation exposure of both local and global populations. Although there has been an increasing number of radon release studies over recent years in the USA, Australia, Canada and elsewhere, a systematic evaluation of this work has yet to be published in the international literature. This paper presents a detailed compilation and analysis of Australian studies. In order to quantify radon sources, a review of data on uranium mining and milling wastes in Australia, as they influence radon releases, is presented. An extensive compilation of the available radon release data is then assembled for the various projects, including a comparison to predictions of radon behaviour where available. An analysis of cumulative radon releases is then developed and compared to the UNSCEAR approach. The implications for the various assessments of long-term releases of radon are discussed, including aspects such as the need for ongoing monitoring of rehabilitation at uranium mining and milling sites and life-cycle accounting.

Gavin M. Mudd

2008-01-01T23:59:59.000Z

498

Perturbative Ward identities for Yang-Mills field theory stochastically quantized  

Science Journals Connector (OSTI)

We compute the divergent part of the three-point vertex function of the non-Abelian Yang-Mills gauge field theory within the stochastic quantization approach to the one-loop order. This calculation allows us to find four renormalization constants which, together with the four previously obtained, verify, to the calculated order, some Ward identities.

A. Muoz Sudupe

1986-04-15T23:59:59.000Z

499

Properties of Fine Superconducting YBCO Particles Prepared by Dry- and Wet-Type Jet-Mill  

Science Journals Connector (OSTI)

Small YBCO particles which has an average size of 12 m were prepered from high quality YBCO pellets by dry-type jet-mill system. The resulting small YBCO...3COCH2CH3) or toluene(C6H5CH3).As a result, the fine Y...

Hiroshi Kezuka

1996-01-01T23:59:59.000Z

500

Energy Efficiency Feasibility Study and Resulting Plan for the Bay Mills Indian Community  

SciTech Connect (OSTI)

In 2011 the Inter-Tribal Council of Michigan, Inc. was awarded an Energy Efficiency Development and Deployment in Indian Country grant from the U.S. Department of Energys Tribal Energy Program. This grant aimed to study select Bay Mills Indian Community community/government buildings to determine what is required to reduce each buildings energy consumption by 30%. The Bay Mills Indian Community (BMIC) buildings with the largest expected energy use were selected for this study and included the Bay Mills Ellen Marshall Health Center building, Bay Mills Indian Community Administration Building, Bay Mills Community College main campus, Bay Mills Charter School and the Waishkey Community Center buildings. These five sites are the largest energy consuming Community buildings and comprised the study area of this project titled Energy Efficiency Feasibility Study and Resulting Plan for the Bay Mills Indian Community. The end objective of this study, plan and the Tribe is to reduce the energy consumption at the Communitys most energy intensive buildings that will, in turn, reduce emissions at the source of energy production, reduce energy expenditures, create long lasting energy conscious practices and positively affect the quality of the natural environment. This projects feasibility study and resulting plan is intended to act as a guide to the Communitys first step towards planned energy management within its buildings/facilities. It aims to reduce energy consumption by 30% or greater within the subject facilities with an emphasis on energy conservation and efficiency. The energy audits and related power consumption analyses conducted for this study revealed numerous significant energy conservation and efficiency opportunities for all of the subject sites/buildings. In addition, many of the energy conservation measures require no cost and serve to help balance other measures requiring capital investment. Reoccurring deficiencies relating to heating, cooling, thermostat setting inefficiencies, powering computers, lighting, items linked to weatherization and numerous other items were encountered that can be mitigated with the energy conservation measures developed and specified during the course of this project.

Kushman, Chris

2014-02-03T23:59:59.000Z