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


1

Automatic expert system based on images for accuracy crop row detection in maize fields  

Science Conference Proceedings (OSTI)

This paper proposes an automatic expert system for accuracy crop row detection in maize fields based on images acquired from a vision system. Different applications in maize, particularly those based on site specific treatments, require the identification ... Keywords: Crop row detection in maize fields, Expert system, Image segmentation, Image thresholding, Linear regression, Machine vision, Theil-Sen estimator

J. M. Guerrero; M. Guijarro; M. Montalvo; J. Romeo; L. Emmi; A. Ribeiro; G. Pajares

2013-02-01T23:59:59.000Z

2

Short-term dynamics of soil carbon, microbial biomass, and soil enzyme activities as compared to longer-term effects of tillage in irrigated row crops  

E-Print Network (OSTI)

rates by tillage and crop rotation: a global data analysis.of tillage in irrigated row crops Daniel Geisseler & Williamthe cropping season in all crop sequences D. Geisseler (*) :

Geisseler, Daniel; Horwath, William R.

2009-01-01T23:59:59.000Z

3

The effects of agricultural land use patterns on pollutant runoff from watersheds: rangeland/pastureland and row cropping  

E-Print Network (OSTI)

Much attention is being focused on water quality in rivers, lakes and streams. One of the contributors of pollution to rivers, lakes and streams is runoff from agriculture in the form of nutrients, pesticides and suspended solids. This study was designed to look at the amount of these substances produced in subwatersheds from corn, grain sorghum and cotton farming along the Colorado River in Travis and Bastrop counties. The study also looked at rangeland and row cropped familand to estimate which land use type produced more runoff and pollution to receiving streams. Best management practices were also looked at as a means of limiting the amount of runoff and pollution transport from row cropped areas. Three automated sampling sites were set up to collect water samples after rainfall events. Two of the sites were set up to sample from streams that drained subwatersheds of a tributary to the Colorado River. The land use at one subwatershed consisted primarily of rangeland and pastureland while the land use at the other site consisted mainly of row cropped farmland. The third site was set up to sample on a row cropped farm that employed certain best management practices. The accepted convention is that rangeland produces less runoff @ row cropped areas and therefore contributes less pollutants to receiving waters. The findings from this project generally support this. Additionally, it was found, through computer modeling, that best management practices in the form of terracing, contour plowing and filter strips significantly reduced the amount of runoff and pollutants that move off site from row cropped areas during rainfall events. The implications of these findings are that, where possible, efforts should be made to implement best management practices to reduce the amount of runoff and pollution to receiving waters. Producers also need to be educated as to how to implement and maintain best management practices to obtain optimal benefits.

Jayne, Andrew A.

1995-01-01T23:59:59.000Z

4

Nitrogen supply from fertilizer and legume cover crop in the transition to no-tillage for irrigated row crops  

E-Print Network (OSTI)

152–155 CTIC (2004) National crop residue management survey.15 labeled legume cover crop. Soil Sci Soc Am J 53:822–827fertilizer and legume cover crop in the transition to no-

Doane, Timothy A.; Horwath, William R.; Mitchell, Jeffrey P.; Jackson, Jim; Miyao, Gene; Brittan, Kent

2009-01-01T23:59:59.000Z

5

Biological and cultural controls . . . Nonpesticide alternatives can suppress crop pests  

E-Print Network (OSTI)

alternatives can suppress crop pests Nicholas J. Mills Kentsuppression of major arthropod crop pests in California. Wevines, and ?eld and row crops. For example, a historic suc-

Mills, Nicholas J.; Daane, Kent M.

2005-01-01T23:59:59.000Z

6

10-Yr. Transmission Plan  

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

Power Marketing Rates Power Marketing Rates 10-Yr Transmission Plan 2012 Customer Meeting Announcement Agenda 120611 CRSP South Projects CRSP South PowerPoint Presentation CRSP South 2009-2011 Capitalized Execution CRSP North Projects CRSP North PowerPoint Presentation CRSP North 2009-2011 Capitalized Execution About Power Marketing Transmission Newsroom Business Policies Products Plan contents OASIS News features Careers No FEAR act Organization chart Plan processes Functions News releases Doing business Privacy policy History General power contract provisions OATT Revisions Fact sheets Energy Services Accessibility Financial information Rates and Repayment Interconnection Publications EPTC Adobe PDF Power projects EPAMP Infrastructure projects Federal Register Notices

7

Biomass Crop Production: Benefits for Soil Quality and Carbon Sequestration  

DOE Green Energy (OSTI)

Research at three locations in the southeastern US is quantifying changes in soil quality and soil carbon storage that occur during production of biomass crops compared with row crops. After three growing seasons, soil quality improved and soil carbon storage increased on plots planted to cottonwood, sycamore, sweetgum with a cover crop, switchgrass, and no-till corn. For tree crops, sequestered belowground carbon was found mainly in stumps and large roots. At the TN site, the coarse woody organic matter storage belowground was 1.3 Mg ha{sup {minus}1}yr{sup {minus}1}, of which 79% was stumps and large roots and 21% fine roots. Switchgrass at the AL site also stored considerable carbon belowground as coarse roots. Most of the carbon storage occurred mainly in the upper 30 cw although coarse roots were found to depths of greater than 60 cm. Biomass crops contributed to improvements in soil physical quality as well as increasing belowground carbon sequestration. The distribution and extent of carbon sequestration depends on the growth characteristics and age of the individual biomass crop species. Time and increasing crop maturity will determine the potential of these biomass crops to significantly contribute to the overall national goal of increasing carbon sequestration and reducing greenhouse gas emissions.

Bandaranayake, W.; Bock, B.R.; Houston, A.; Joslin, J.D.; Pettry, D.E.; Schoenholtz, S.; Thornton, F.C.; Tolbert, V.R.; Tyler, D.

1999-08-29T23:59:59.000Z

8

" Row: NAICS Codes;"  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2002; " " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit:...

9

" Row: NAICS Codes;"  

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

9.1 Enclosed Floorspace and Number of Establishment Buildings, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square...

10

" Row: NAICS Codes;" " ...  

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

than","and","Any","from Only","Other than","and","Row" "Code(a)","Subsector and Industry","Electricity(b)","Local Utility(c)","Local Utility(d)","Other Sources","Natural...

11

Decommissioning Yankee Rowe  

Science Conference Proceedings (OSTI)

This article describes the process and progress of the decommissioning of the Yankee Rowe Nuclear Power Plant in Massachusetts. In 32 years Yankee Rowe was a safe, reliable and economical power source for New England. The uncertain near-term availability of disposal facilities for low-level waste, spent fuel, and other high level waste presents special challenges to the decommissioning. The decommissioning plan was submitted to the USNRC in December 1993 with final approval anticipated in 1994. Topics highlighted in this article are the decommissioning plan and the component removal program.

Heider, K.J.; Mellor, R.A.

1994-07-01T23:59:59.000Z

12

Environmental enhancement using short-rotation woody crops and perennial grasses as alternative agricultural crops  

DOE Green Energy (OSTI)

Short-rotation woody crops and perennial grasses are grown as biomass feedstocks for energy and fiber. When replacing traditional row crops on similar lands, these alternative crops can provide multiple environmental benefits in addition to enhancing rural economies and providing valuable feedstock resources. The Department of Energy is supporting research to address how these crops can provide environmental benefits to soil, water and native wildlife species in addition to providing bioenergy feedstocks. Research is underway to address the potential for biomass crops to provide soil conservation and water quality improvements in crop settings. Replacement of traditional erosive row crops with biomass crops on marginal lands and establishment of biomass plantations as filter strips adjacent to streams and wetlands are being studied. The habitat value of different biomass crops for selected wildlife species is also under study. To date, these studies have shown that in comparison with row crops biomass plantings of both grass and tree crops increased biodiversity of birds; however, the habitat value of tree plantations is not equivalent to natural forests. The effects on native wildlife of establishing multiple plantations across a landscape are being studied. Combining findings on wildlife use of individual plantations with information on the cumulative effects of multiple plantations on wildlife populations can provide guidance for establishing and managing biomass crops to enhance biodiversity while providing biomass feedstocks. Data from site-specific environmental studies can provide input for evaluation of the probable effects of large-scale plantings at both landscape and regional levels of resolution.

Tolbert, V.R. [Oak Ridge National Lab., TN (United States); Schiller, A. [Oak Ridge Inst. for Science and Education, TN (United States)

1995-12-31T23:59:59.000Z

13

Property:Building/SPPurchasedEngyNrmlYrMwhYrElctrtyTotal | Open Energy  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Building/SPPurchasedEngyNrmlYrMwhYrElctrtyTotal Jump to: navigation, search This is a property of type String. Electricity, total Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrElctrtyTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 1400.0 + Sweden Building 05K0002 + 686.9 + Sweden Building 05K0003 + 321.8 + Sweden Building 05K0004 + 1689.9 + Sweden Building 05K0005 + 122.6 + Sweden Building 05K0006 + 843.1 + Sweden Building 05K0007 + 1487.0 + Sweden Building 05K0008 + 315.0 + Sweden Building 05K0009 + 1963.0 + Sweden Building 05K0010 + 66.52 + Sweden Building 05K0011 + 391.0 + Sweden Building 05K0012 + 809.65 +

14

Property:Building/SPPurchasedEngyNrmlYrMwhYrDigesterLandfillGas | Open  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrDigesterLandfillGas SPPurchasedEngyNrmlYrMwhYrDigesterLandfillGas Jump to: navigation, search This is a property of type String. Digester / landfill gas Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrDigesterLandfillGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

15

Property:Building/SPPurchasedEngyNrmlYrMwhYrDstrtHeating | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrDstrtHeating SPPurchasedEngyNrmlYrMwhYrDstrtHeating Jump to: navigation, search This is a property of type String. District heating Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrDstrtHeating" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 2193.0 + Sweden Building 05K0002 + 521.2 + Sweden Building 05K0003 + 498.4 + Sweden Building 05K0004 + 1869.0 + Sweden Building 05K0005 + 646.0 + Sweden Building 05K0006 + 1843.0 + Sweden Building 05K0007 + 1542.0 + Sweden Building 05K0008 + 898.0 + Sweden Building 05K0009 + 2313.0 + Sweden Building 05K0010 + 65.0 + Sweden Building 05K0011 + 1032.0 + Sweden Building 05K0012 + 1256.0 + Sweden Building 05K0013 + 1817.6002445 + Sweden Building 05K0014 + 162.0 + Sweden Building 05K0015 + 158.0 +

16

Property:Building/SPPurchasedEngyNrmlYrMwhYrLogs | Open Energy Information  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrLogs SPPurchasedEngyNrmlYrMwhYrLogs Jump to: navigation, search This is a property of type String. Logs Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrLogs" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 +

17

Property:Building/SPPurchasedEngyNrmlYrMwhYrNaturalGas | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrNaturalGas SPPurchasedEngyNrmlYrMwhYrNaturalGas Jump to: navigation, search This is a property of type String. Natural gas Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrNaturalGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

18

Property:Building/SPPurchasedEngyNrmlYrMwhYrWoodChips | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrWoodChips SPPurchasedEngyNrmlYrMwhYrWoodChips Jump to: navigation, search This is a property of type String. Wood chips Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrWoodChips" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

19

Property:Building/SPPurchasedEngyNrmlYrMwhYrOther | Open Energy Information  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrOther SPPurchasedEngyNrmlYrMwhYrOther Jump to: navigation, search This is a property of type String. Other Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrOther" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 + Sweden Building 05K0017 + 0.0 +

20

Property:Building/SPPurchasedEngyNrmlYrMwhYrTotal | Open Energy Information  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrTotal SPPurchasedEngyNrmlYrMwhYrTotal Jump to: navigation, search This is a property of type String. Total Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 4355.0 + Sweden Building 05K0002 + 1530.1 + Sweden Building 05K0003 + 872.1 + Sweden Building 05K0004 + 4466.9 + Sweden Building 05K0005 + 768.6 + Sweden Building 05K0006 + 3031.1 + Sweden Building 05K0007 + 3479.0 + Sweden Building 05K0008 + 1336.0 + Sweden Building 05K0009 + 4876.0 + Sweden Building 05K0010 + 131.52 + Sweden Building 05K0011 + 1501.0 + Sweden Building 05K0012 + 2405.65 + Sweden Building 05K0013 + 3436.6002445 + Sweden Building 05K0014 + 389.66 + Sweden Building 05K0015 + 270.0 +

Note: This page contains sample records for the topic "yr row crop" 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

Property:Building/SPPurchasedEngyNrmlYrMwhYrPellets | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrPellets SPPurchasedEngyNrmlYrMwhYrPellets Jump to: navigation, search This is a property of type String. Pellets Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrPellets" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

22

Property:Building/SPPurchasedEngyNrmlYrMwhYrOil-FiredBoiler | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrOil-FiredBoiler SPPurchasedEngyNrmlYrMwhYrOil-FiredBoiler Jump to: navigation, search This is a property of type String. Oil-fired boiler Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrOil-FiredBoiler" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

23

Property:Building/SPPurchasedEngyNrmlYrMwhYrTownGas | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrTownGas SPPurchasedEngyNrmlYrMwhYrTownGas Jump to: navigation, search This is a property of type String. Town gas Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrTownGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

24

Property:Building/SPPurchasedEngyNrmlYrMwhYrDstrtColg | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyNrmlYrMwhYrDstrtColg SPPurchasedEngyNrmlYrMwhYrDstrtColg Jump to: navigation, search This is a property of type String. District cooling Pages using the property "Building/SPPurchasedEngyNrmlYrMwhYrDstrtColg" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 762.0 + Sweden Building 05K0002 + 322.0 + Sweden Building 05K0003 + 51.9 + Sweden Building 05K0004 + 908.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 345.0 + Sweden Building 05K0007 + 450.0 + Sweden Building 05K0008 + 123.0 + Sweden Building 05K0009 + 600.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 78.0 + Sweden Building 05K0012 + 340.0 + Sweden Building 05K0013 + 420.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

25

Rights-Of-Way (ROW) Environmental Management: New ROW Development and Existing ROW Maintenance  

Science Conference Proceedings (OSTI)

During October 27-29, 1997, the Electric Power Research Institute (EPRI) and the Empire State Electric Energy Research Corporation (ESEERCO) sponsored a workshop to assess the need for a program of environmental research on Rights-of-Way (ROW) development and management, and to develop a research agenda. The workshop built on 1993 and 1996 EPRI meetings, and on the 6th International Symposium on Environmental Concerns in Rights-of-Way Management held in February, 1997. This document presents the proceedi...

1999-12-15T23:59:59.000Z

26

Two Row Mixed Integer Cuts Via Lifting?  

E-Print Network (OSTI)

Jun 22, 2008 ... the two-row mixed integer infinite-group problem), and to develop lifting ..... The next lemma analyzes the standard triangles with each side ...

27

" Row: Specific Energy-Management Activities...  

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

4 Number of Establishments by Participation in Specific Energy-Management Activities, 2006;" " Level: National Data; " " Row: Specific Energy-Management Activities within NAICS...

28

Environmental enhancement using short-rotation woody crops and perennial grasses as alternative agricultural crops  

DOE Green Energy (OSTI)

Short-rotation woody crops and perennial grasses are grown as biomass feedstocks for energy and fiber. When replacing traditional row crops on similar lands, these alternative crops can provide multiple environmental benefits in addition to enhancing rural economies and providing valuable resources. The DOE is supporting research to address how these crops can provide environmental benefits to soil, water, and native wildlife species in addition to providing bioenergy feedstocks. Research is underway to address the potential for biomass crops to provide soils conservation and water quality improvements in crop settings. Replacement of traditional erosive row drops with biomass crops on marginal lands and establishment of biomass plantations as filter strips adjacent to streams and wetlands are being studied. The habitat value of different crops for wildlife species is also considered. Combining findings on wildlife use of individual plantations with information on the cumulative effects of multiple plantations on wildlife populations can provide guidance for establishing and managing biomass crops to enhance biodiversity while providing feedstocks. Data from site-specific environmental studies can provide input for evaluation of the effects of large-scale plantings at both landscape and regional levels of resolution.

Tolbert, V.R. [Oak Ridge National Lab., TN (United States); Schiller, A. [Oak Ridge Inst. for Science and Education, TN (United States)

1996-10-01T23:59:59.000Z

29

Update rows? | OpenEI Community  

Open Energy Info (EERE)

Update rows? Update rows? Home > Groups > Databus Is it possible to update an existing row in a table? I'm thinking of the case of a table holding metadata about sensors. If the location changes, for example, can that row be changed/deleted/updated? thanks, Submitted by Hopcroft on 31 October, 2013 - 16:42 1 answer Points: 0 yes, it is done the same way you inserted the data, so just re-use your existing stuff and it will update. Deanhiller on 11 November, 2013 - 11:01 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows? How to use streaming chart? if you are an administrator, s... more Group members (7) Managers: Deanhiller Recent members: Bradmin Hopcroft Vikasgoyal

30

Update rows? | OpenEI Community  

Open Energy Info (EERE)

Update rows? Update rows? Home > Groups > Databus Is it possible to update an existing row in a table? I'm thinking of the case of a table holding metadata about sensors. If the location changes, for example, can that row be changed/deleted/updated? thanks, Submitted by Hopcroft on 31 October, 2013 - 16:42 1 answer Points: 0 yes, it is done the same way you inserted the data, so just re-use your existing stuff and it will update. Deanhiller on 11 November, 2013 - 11:01 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows? How to use streaming chart? if you are an administrator, s... more Group members (6) Managers: Deanhiller Recent members: Hopcroft Vikasgoyal Ksearight

31

Design and control of autonomous crop tracking robotic weeder : GreenWeeder.  

E-Print Network (OSTI)

??This thesis reports the design and control of the ?GreenWeeder?, a non-herbicidal autonomous weeding robot, in order to autonomously track crop rows for weeding through… (more)

Dang, Kim Son

2009-01-01T23:59:59.000Z

32

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

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

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

33

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

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

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

34

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

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

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

35

" Row: End Uses;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " ",," ","Distillate"," "," ","Coal"," " " ",,,"Fuel Oil",,,"(excluding Coal" " ","Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)","RSE" " ","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Row"

36

" Row: End Uses;"  

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

8 End Uses of Fuel Consumption, 2002;" 8 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " ",," ","Distillate"," "," ",," " " ","Net Demand",,"Fuel Oil",,,"Coal","RSE" " ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "End Use","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Factors"

37

" Row: NAICS Codes;"  

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

2.1. Enclosed Floorspace and Number of Establishment Buildings, 1998;" 2.1. Enclosed Floorspace and Number of Establishment Buildings, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All Buildings","of Buildings Onsite","RSE" "NAICS"," ","Onsite","Establishments(b)","per Establishment","Onsite","per Establishment","Row"

38

" Row: NAICS Codes;"  

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

1 Enclosed Floorspace and Number of Establishment Buildings, 2002;" 1 Enclosed Floorspace and Number of Establishment Buildings, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All Buildings","of Buildings Onsite","RSE" "NAICS"," ","Onsite","Establishments(b)","per Establishment","Onsite","per Establishment","Row"

39

An Assessment of Intraseasonal Variability from 13-Yr GCM Simulations  

Science Conference Proceedings (OSTI)

An assessment of 13-yr simulations of three atmospheric general circulation models (AGCMs) forced by observed sea surface temperatures (SSTs) is presented. The National Centers for Environmental Prediction (NCEP) reanalysis data are used as a ...

Warren Tennant

2003-09-01T23:59:59.000Z

40

Yankee Rowe simulator core model validation  

Science Conference Proceedings (OSTI)

This paper presents the validation of the Yankee Rowe simulator core model. Link-Miles Simulation Corporation is developing the Yankee Rowe simulator and Yankee Atomic Electric Company is involved in input and benchmark data generation, as well as simulator validation. Core model validation by Yankee comprises three tasks: (1) careful generation of fuel reactivity characteristics (B constants); (2) nonintegrated core model testing; and (3) fully integrated core model testing. Simulator core model validation and verification is a multistage process involving input and benchmark data generation as well as interactive debugging. Core characteristics were brought within acceptable criteria by this process. This process was achieved through constant communication between Link-Miles and Yankee engineers. Based on this validation, the Yankee Rowe simulator core model is found to be acceptable for training purposes.

Napolitano, M.E.

1990-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

Property:Geothermal/AnnualGenBtuYr | Open Energy Information  

Open Energy Info (EERE)

AnnualGenBtuYr AnnualGenBtuYr Jump to: navigation, search This is a property of type Number. Pages using the property "Geothermal/AnnualGenBtuYr" Showing 25 pages using this property. (previous 25) (next 25) 4 4 UR Guest Ranch Pool & Spa Low Temperature Geothermal Facility + 5.3 + A Ace Development Aquaculture Low Temperature Geothermal Facility + 72.5 + Agua Calientes Trailer Park Space Heating Low Temperature Geothermal Facility + 5 + Alive Polarity's Murrietta Hot Spring Pool & Spa Low Temperature Geothermal Facility + 7 + Americulture Aquaculture Low Temperature Geothermal Facility + 17 + Aq Dryers Agricultural Drying Low Temperature Geothermal Facility + 6.5 + Aqua Caliente County Park Pool & Spa Low Temperature Geothermal Facility + 1.8 +

42

Property:Geothermal/AnnualGenGwhYr | Open Energy Information  

Open Energy Info (EERE)

AnnualGenGwhYr AnnualGenGwhYr Jump to: navigation, search This is a property of type Number. Pages using the property "Geothermal/AnnualGenGwhYr" Showing 25 pages using this property. (previous 25) (next 25) 4 4 UR Guest Ranch Pool & Spa Low Temperature Geothermal Facility + 1.6 + A Ace Development Aquaculture Low Temperature Geothermal Facility + 21.2 + Agua Calientes Trailer Park Space Heating Low Temperature Geothermal Facility + 1.5 + Alive Polarity's Murrietta Hot Spring Pool & Spa Low Temperature Geothermal Facility + 2.1 + Americulture Aquaculture Low Temperature Geothermal Facility + 5 + Aq Dryers Agricultural Drying Low Temperature Geothermal Facility + 1.9 + Aqua Caliente County Park Pool & Spa Low Temperature Geothermal Facility + 0.5 +

43

" Row: NAICS Codes;"  

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

2. Number of Establishments by Usage of Cogeneration Technologies, 1998;" 2. Number of Establishments by Usage of Cogeneration Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." ,,,"Establishments" " "," ",,"with Any"," Steam Turbines","Supplied","by Either","Conventional","Combustion","Turbines"," "," "," ","Internal","Combustion","Engines"," Steam Turbines","Supplied","by Heat"," ",," "

44

Yankee Rowe Decommissioning Experience Record: Volume 1  

Science Conference Proceedings (OSTI)

This report describes Yankee Atomic's experiences in the process of decommissioning the Yankee Rowe nuclear power plant. This volume presents lessons learned during work finished by September 1997. A second volume, to be published in 1998, will complete the experience record. The recommendations and insights in this report will be valuable to other utilities with permanently shutdown plants.

1997-12-31T23:59:59.000Z

45

" Row: NAICS Codes;"  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2006;" 3 Number of Establishments by Usage of Cogeneration Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." ,,,"Establishments" ,,,"with Any"," Steam Turbines Supplied by Either Conventional or Fluidized Bed Boilers",,,"Conventional Combusion Turbines with Heat Recovery",,,"Combined-Cycle Combusion Turbines",,,"Internal Combusion Engines with Heat Recovery",,," Steam Turbines Supplied by Heat Recovered from High-Temperature Processes",,,," "

46

Yankee Rowe Decommissioning Experience Record: Volume 2  

Science Conference Proceedings (OSTI)

This report describes Yankee Atomic Electric Company's (YAEC) recent experiences in the process of decommissioning the Yankee Rowe nuclear power plant. This volume supplements Volume 1 by presenting more lessons learned during work finished by September 1998. In 1999, EPRI will publish a final report completing the experience record. The recommendations and insights in this report will be valuable to other utilities with permanently shut down plants.

1998-12-18T23:59:59.000Z

47

The Synoptic Decomposition of Cool-Season Rainfall in the Southeastern Australian Cropping Region  

Science Conference Proceedings (OSTI)

Daily rainfall during the April–October growing season in a major cropping region of southeastern Australia has been related to particular types of synoptic weather systems over a period of 33 yr. The analysis reveals that cutoff lows were ...

Michael J. Pook; Peter C. McIntosh; Gary A. Meyers

2006-08-01T23:59:59.000Z

48

Environmental enchancement using short-rotation tree crops: research results and directions  

DOE Green Energy (OSTI)

Short-rotation woody crops (SRWC) and perennial grasses used as biomass feedstocks for energy and fiber can provide multiple economic and environmental benefits. Site-specific environmental studies are providing information needed to help evaluate the economic and environmental impacts of biomass production at both local and regional scales. Erosion and chemical movement from an annual row crop, switchgrass, and tree crop with and without a groundcover are being compared in the Southeast. Studies of SRWC productivity on the South Carolina coastal plain are comparing surface and subsurface movement of chemicals applied under different fertilization and irrigation regimes, and addressing use of mill and agricultural residues to enhance crop production. Results are helping to assess the effects of biomass crops produced on different principal soil types and to match tree species with appropriate sites to maximize productivity and minimize environmental impacts. Studies are comparing wildlife use of biomass crops to row crops, grasslands, and natural forests. Results to date show that SRWCs support greater bird diversity than row crops, but less than natural forests; switchgrass plantings extend habitat for grasslands birds. Collaboration with an industrial partner on diverse SRWC plantings in the Southeast is addressing the relationship between plantings of different acreage, age, tree species, and landscape context and breeding bird use. Information from wildlife diversity, water, and soil quality studies can be used by the Biofuels Feedstock Development Program (BFDP), researchers, producers, and industry to identify management strategies to maintain productivity While enhancing the environment.

Tolbert, V.R.; Schiller, A.

1996-10-01T23:59:59.000Z

49

" Row: End Uses;"  

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

8 End Uses of Fuel Consumption, 2010;" 8 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." ,,,"Distillate" ,,,"Fuel Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)" ,"Total United States" "TOTAL FUEL CONSUMPTION",2886,79,130,5211,69,868

50

" Row: End Uses;"  

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

7 End Uses of Fuel Consumption, 2006;" 7 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." ,,,"Distillate",,,"Coal" ,,,"Fuel Oil",,,"(excluding Coal" ,"Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)" ,"for Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million" "End Use","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)"

51

file://C:\Documents%20and%20Settings\rma\My%20Documents\CSEQ\we  

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

Analysis (http://cdiac.ornl.gov/programs/CSEQ/terrestrial/westpost2002/westpost2002.html). Carbon Dioxide Information Analysis Center, U.S. Department of Energy, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A. Summary of agricultural experiments used in this study. Location *Crop or Tillage Prior history Duration (yr) **Treatment Depth (cm) ***∆SOC (g m -2 ) Ås, Norway N/A (low N) N/A 31 3 yr cereal-3 yr row crop vs. cereal 20 -199 Ås, Norway N/A (low N) N/A 31 2 yr ley-4 yr row crop vs. 3 yr cereal- 3 yr row crop 20 199 Ås, Norway N/A (low N) N/A 31 4 yr ley-2 yr row crop vs. 3 yr cereal- 3 yr row crop 20 881 Ås, Norway N/A (medium N) N/A 31 3 yr cereal-3 yr row crop vs. cereal 20 -171 Ås, Norway N/A (medium N) N/A 31 2 yr ley-4 yr row

52

Globally Optimal Solutions for Large Single-Row Facility Layout ...  

E-Print Network (OSTI)

May 22, 2006 ... This paper is concerned with the single-row facility layout problem ..... A standard way to tighten linear or semidefinite relaxations of binary ...

53

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

E-Print Network (OSTI)

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

54

Level: National Data; Row: Specific Energy-Management Activities...  

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

be conducted in 2010 Table 8.4 Number of Establishments by Participation in Specific Energy-Management Activities, 2006; Level: National Data; Row: Specific Energy-Management...

55

Crop Physiology  

Science Conference Proceedings (OSTI)

In this chapter, we review the physiology of switchgrass from seed dormancy till the effects of water and nutrients stress on grown plants. These characteristics are presented and discussed mainly at the canopy and whole-plant level with emphasis on the agro-physiology of the species in view of the possible contribution of crop physiology to agricultural development. Switchgrass is noted for the variable degrees of seed dormancy regulated by endogenous and exogenous factors that determine the successful seedling establishment. Plant growth rates are determined by temperature while the reproductive phase is controlled mainly by photoperiod. There is also evidence that some physiological attributes, such as photosynthesis, transpiration, and water use efficiency differ between tetraploid, hexaploid and octaploid ecotypes. But despite these differences, in general switchgrass combines important attributes of efficient use of nutrients and water with high yields thanks to its ability to acquire resources from extended soil volumes, especially at deep layers. Moreover at canopy level, resources capture and conservation are determined by morpho-physiological characteristics (C{sub 4} photosynthetic pathway, stomatal control of transpiration, high leaf area index, low light extinction coefficient) that enhance radiation use efficiency and reduce carbon losses. However, specific information on switchgrass physiology is still missing, in particular deeper understanding of physiological principles controlling the water and nutrients acquisition mechanisms and allocation under suboptimal growing conditions. The physiology of tillering and root respiration are also factors that need further investigation.

Zegada-Lizarazu, Walter [University of Bologna; Wullschleger, Stan D [ORNL; Nair, S. Surendran [University of Tennessee, Knoxville (UTK); Monti, Andrea [University of Bologna

2013-01-01T23:59:59.000Z

56

System manual for the University of Pennsylvania retrofitted solar heated Philadelphia row home (SolaRow)  

DOE Green Energy (OSTI)

The University of Pennsylvania SolaRow house, an urban row home retrofitted for comfort and domestic hot water heating, was extensively instrumented for performance monitoring and acquisition of weather and solar radiation data. This report describes the heating and instrumentation systems, provides the details for instrumentation, piping and valve identification, and specifies the operation and maintenance of the heating and data acquisition systems. The following are included: (1) system flow diagrams; (2) valve and cable identification tables; (3) wiring diagrams; and (4) start-up, normal operation, shut-down, maintenance and trouble-shooting procedures. It thus provides the necessary technical information to permit system operation and monitoring, overall system performance analysis and optimization, and acquisition of climatological data.

Zinnes, I.; Lior, N.

1980-05-01T23:59:59.000Z

57

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

1. Fuel Consumption, 1998;" 1. Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

58

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

S5.1. Selected Byproducts in Fuel Consumption, 1998;" S5.1. Selected Byproducts in Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," ","Waste"," ",," " " "," "," ","Blast"," "," ","Pulping Liquor"," ","Oils/Tars","RSE" "SIC"," "," ","Furnace/Coke"," ","Petroleum","or","Wood Chips,","and Waste","Row"

59

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

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

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

60

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

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

1 Offsite-Produced Fuel Consumption, 2002;" 1 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","(million","(million","Other(f)","Row"

Note: This page contains sample records for the topic "yr row crop" 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

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

2. Fuel Consumption, 1998;" 2. Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "SIC"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Major Group and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

62

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

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

2 Fuel Consumption, 2002;" 2 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

63

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

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

1 Fuel Consumption, 2002;" 1 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","(million","(million","Other(f)","Row"

64

" Row: NAICS Codes; Column: Electricity Components;"  

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

1 Electricity: Components of Net Demand, 2002;" 1 Electricity: Components of Net Demand, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,"Total ","Sales and","Net Demand","RSE" "NAICS"," ",,"Transfers ","Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases"," In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

65

Solving connected row convex constraints by variable elimination  

Science Conference Proceedings (OSTI)

We propose an algorithm for the class of connected row convex constraints. In this algorithm, we introduce a novel variable elimination method to solve the constraints. This method is simple and able to make use of the sparsity of the problem instances. ... Keywords: Connected row convex constraints, Constraint composition, Constraint satisfaction problems, Path consistency, Variable elimination

Yuanlin Zhang; Satyanarayana Marisetti

2009-08-01T23:59:59.000Z

66

" Row: NAICS Codes; Column: Electricity Components;"  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,,"Sales and","Net Demand","RSE" "NAICS"," ",,,"Total Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

67

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

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

1. Fuel Consumption, 1998;" 1. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

68

Soil & Tillage Research 71 (2003) 3347 Soil water and nitrogen dynamics in dryland cropping systems  

E-Print Network (OSTI)

water content was measured using 30 cm long, two-rod waveguides connected to a transmission line oscilla at Palouse and Touchet. Precip- itation and air temperature were measured at standard heights controlled at random locations be- tween crop rows and composited according to depth increments. Sampling started 5

Flury, Markus

69

Front Row (left to right): Bryan Reed, Wayne King, Nigel Browning ...  

DTEM – Team Members: Front Row (left to right): Bryan Reed, Wayne King, Nigel Browning, Judy Kim, Michael Armstrong Back Row (left to right): Thomas LaGrange ...

70

Microbially derived crop protection products  

E-Print Network (OSTI)

of the Project: Microbially derived crop protection productstransferred into major crop plants. Following greenhouseMicrobial Diversity-Based Novel Crop Protection Products " A

Torok, Tamas

2010-01-01T23:59:59.000Z

71

An ASAE Meeting PresentationPaper Number: 051119 Variable Rate Nitrogen Application on Row Crop  

E-Print Network (OSTI)

photonics draws upon elements of all three of the photovoltaic strands. The aim is to develop silicon light-emitting-diodes with the conventional flash-light replaced by a high-power light emitting diode array. An area separate from the Device

Jones, Carol

72

The Chooser-Picker 7-in-a-row-game  

E-Print Network (OSTI)

One of the main objective of this paper is to relate Beck's conjecture for k-in-a-row games. The conjecture states that playing on the same board Picker is better off in a Chooser-Picker game than the second player in the Maker-Breaker version. It was shown that the 8-in-a-row game is a blocking draw that is a Breaker win. To give the outcome of 7-, or 6-in-a-row-games is hopeless, but these games are widely believed to be Breaker's win. If both conjectures hold, Picker must win the Chooser-Picker version of the 7-in-a-row game, and that is what we prove.

Csernenszky, András

2010-01-01T23:59:59.000Z

73

Row-Action Inversion of the Barrick–Weber Equations  

Science Conference Proceedings (OSTI)

The Barrick–Weber equations describe the interaction of radar signals with the dynamic ocean surface, and so provide a mathematical basis for oceanic remote sensing. This report considers the inversion of these equations with several of the row-...

J. J. Green; L. R. Wyatt

2006-03-01T23:59:59.000Z

74

A competitive genetic algorithm for single row facility layout  

E-Print Network (OSTI)

Feb 22, 2012 ... The single row facility layout is the NP-Hard problem of arranging facilities ..... with a user-specified probability p, the second fittest solution with ...

75

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2002;" 2 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

76

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2002;" 1 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal" " "," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Row"

77

" Row: End Uses within NAICS Codes;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)","RSE" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Row"

78

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

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

2 Offsite-Produced Fuel Consumption, 2002;" 2 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors"

79

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,"Coke" " "," "," ","Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)","Row"

80

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

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

4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" 4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy",,"Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

Note: This page contains sample records for the topic "yr row crop" 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

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

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

4 Number of Establishments by Fuel Consumption, 2002;" 4 Number of Establishments by Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS"," ","Energy","Net","Residual","Distillate","Natural","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors"

82

" Row: End Uses within NAICS Codes;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

83

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

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

6 Quantity of Purchased Energy Sources, 2002;" 6 Quantity of Purchased Energy Sources, 2002;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity","Fuel Oil","Fuel Oil(b)"," Gas(c)","NGL(d)","(million","(million ","Other(e)","Row"

84

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Major Group and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

85

" Row: Selected SIC Codes; Column: Energy Sources;"  

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

S4.1. Offsite-Produced Fuel Consumption, 1998;" S4.1. Offsite-Produced Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

86

" Row: Employment Sizes within NAICS Codes;"  

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

3. Consumption Ratios of Fuel, 1998;" 3. Consumption Ratios of Fuel, 1998;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

87

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2002;" 3 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" " "," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","RSE" "NAICS"," ","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Row"

88

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2002;" 4 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Factors"

89

" Row: Employment Sizes within NAICS Codes;"  

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

4 Consumption Ratios of Fuel, 2002;" 4 Consumption Ratios of Fuel, 2002;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per Employee","of Value Added","of Shipments","Row" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

90

Sorghums as energy crops  

Science Conference Proceedings (OSTI)

The botanical, physiological, and agronomic characteristics of sorghum are described. Integration concepts to improve sorghum prospects are discussed as follows: multiple sweet sorghum crops each year, integration with sugarcane, integration with sugar beets, integration with starch crops, sweet stemmed grain sorghum, and integration with lignocellulosic crops. (MHR)

Lipinsky, E.S.; Kresovich, S.

1980-01-01T23:59:59.000Z

91

Cover Crops for the Garden  

E-Print Network (OSTI)

photosynthesis. When the cover crops decompose, the nitrogenthe nodules becomes available for growing crops to draw on.to a fall planting of cover crops. Cover crops are grown not

2008-01-01T23:59:59.000Z

92

Regional uptake and release of crop carbon in the United States  

Science Conference Proceedings (OSTI)

Carbon fixed by agricultural crops in the US creates regional CO(2) sinks where it is harvested and regional CO(2) sources where it is released back to the atmosphere. The quantity and location of these fluxes differ depending on the annual supply and demand of crop commodities. Data on the harvest of crop biomass, storage, import and export, and on the use of biomass for food, feed, fiber, and fuel were compiled to estimate an annual crop carbon budget for 2000 to 2008. With respect to US Farm Resource Regions, net sources of CO(2) associated with the consumption of crop commodities occurred in the Eastern Uplands, Southern Seaboard, and Fruitful Rim regions. Net sinks associated with the production of crop commodities occurred in the Heartland, Northern Great Plains, and Mississippi Portal regions. The national crop carbon budget was balanced to within 0.3 to 6.1% yr(-1) during the period of this analysis.

West, Tristram O. [ORNL; Bandaru, Vara Prasad [ORNL; Branstetter, Marcia L. [Oak Ridge National Laboratory (ORNL); Brandt, Craig C [ORNL; Schuh, Andrew [Colorado State University, Fort Collins; Ogle, Stephan [Colorado State University, Fort Collins

2011-01-01T23:59:59.000Z

93

Regional Uptake and Release of Crop Carbon in the United States  

Science Conference Proceedings (OSTI)

Carbon fixed by agricultural crops in the US creates regional CO2 sinks where it is harvested and regional CO2 sources where it is released back to the atmosphere. The quantity and location of these fluxes differ depending on the annual supply and demand of crop commodities. Data on the harvest of crop biomass, storage, import and export, and on the use of biomass for food, feed, fiber, and fuel were compiled to estimate an annual crop carbon budget for 2000 to 2008. Net sources of CO2 associated with the consumption of crop commodities occurred in the Eastern Uplands, Southern Seaboard, and Fruitful Rim regions. Net sinks associated with the production of crop commodities occurred in the Heartland, Northern Crescent, Northern Great Plains, and Mississippi Portal regions. The national crop carbon budget was balanced to within 0.7 to 6.6% yr-1 during the period of this analysis.

West, Tristram O.; Bandaru, Varaprasad; Brandt, Craig C.; Schuh, A.E.; Ogle, S.M.

2011-08-03T23:59:59.000Z

94

The 11-Yr Solar Cycle in ERA-40 Data: An Update to 2008  

Science Conference Proceedings (OSTI)

Multiple linear regression is used to diagnose the signal of the 11-yr solar cycle in zonal-mean zonal wind and temperature in the 40-yr ECMWF Re-Analysis (ERA-40) dataset. The results of previous studies are extended to 2008 using data from ...

Thomas H. A. Frame; Lesley J. Gray

2010-04-01T23:59:59.000Z

95

Observed Tropospheric Temperature Response to 11-yr Solar Cycle and What It Reveals about Mechanisms  

Science Conference Proceedings (OSTI)

Using 54 yr of NCEP reanalysis global data from 1000 to 10 hPa, this study establishes the existence and the statistical significance of the zonal-mean temperature response to the 11-yr solar cycle throughout the troposphere and parts of the lower ...

Jiansong Zhou; Ka-Kit Tung

2013-01-01T23:59:59.000Z

96

Microsoft Word - CX_Memo_SchultzROW.docx  

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

2 2 REPLY TO ATTN OF: KEC-4 SUBJECT: Environmental Clearance Memorandum Brandee Shoemaker Project Manager - TERM-TPP-4 Proposed Action: Schultz-Raver No.1 Right-Of-Way (ROW) Marking Project Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B1.3 Routine Maintenance Location: Kittitas County, Washington Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA is proposing to survey and mark the northern boundary of its transmission line ROW for the Schultz-Raver No.1 and Schultz-Echo Lake No.1 transmission line corridor in Kittitas County, WA. Due to high development pressure, a lack of visible signage, and incomplete county records, encroachments into the ROW have occurred in the

97

Improving Data Center Efficiency with Rack or Row Cooling Devices  

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

Challenging conventional Challenging conventional cooling systems Rack/row-mounted cooling devices can replace or supplement conventional cooling systems and result in energy savings. Conventional data center cool- ing is achieved with computer room air conditioners (CRACs) or computer room air handlers (CRAHs). These CRAC and CRAH units are typically installed in data centers on top of raised-floors that are used for cooling air distribution. Such under-floor air distribution is not required by the new rack/row-mounted devices. Consequently, the vagaries of under-floor airflow pathways for room conditioning are avoided. Importantly, close-coupled devices may be better

98

Improving Data Center Efficiency with Rack or Row Cooling Devices  

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

Challenging conventional Challenging conventional cooling systems Rack/row-mounted cooling devices can replace or supplement conventional cooling systems and result in energy savings. Conventional data center cool- ing is achieved with computer room air conditioners (CRACs) or computer room air handlers (CRAHs). These CRAC and CRAH units are typically installed in data centers on top of raised-floors that are used for cooling air distribution. Such under-floor air distribution is not required by the new rack/row-mounted devices. Consequently, the vagaries of under-floor airflow pathways for room conditioning are avoided. Importantly, close-coupled devices may be better

99

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

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

2 Fuel Consumption, 2010;" 2 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," " " "," " "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

100

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

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

1 Fuel Consumption, 2010;" 1 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," " "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)"

Note: This page contains sample records for the topic "yr row crop" 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

" Row: End Uses within NAICS Codes;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ","Coal"," "," " " "," ",,,,"Fuel Oil",,,"(excluding Coal" " "," "," ","Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)"," ","RSE"

102

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

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

6 Quantity of Purchased Energy Sources, 2010;" 6 Quantity of Purchased Energy Sources, 2010;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," " "NAICS"," ","Total","Electricity","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)"

103

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

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

1 Offsite-Produced Fuel Consumption, 2006;" 1 Offsite-Produced Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",,,," "," "," ",," "," "," "," "," " " "," ",,,,,,,,,,,"Coke" " "," "," ",,,,"Residual","Distillate","Natural Gas(d)",,"LPG and","Coal","and Breeze"," " "NAICS"," ","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","(billion",,"NGL(e)","(million","(million","Other(f)"

104

Ten Weirdest Computers By DUNCAN GRAHAM-ROWE  

E-Print Network (OSTI)

Ten Weirdest Computers By DUNCAN GRAHAM-ROWE April 15, 2008 -- Today's computers use pulses, weirder, ways& 1. Optical computing There's nothing weird about encoding data in light global computations is still not practical. Optical computers are a worthwhile goal because using light could increase

Braun, Paul

105

Tropopause Characteristics and Variability from 11 yr of SHADOZ Observations in the Southern Tropics and Subtropics  

Science Conference Proceedings (OSTI)

In this paper, tropopause characteristics observed from tropical to subtropical Southern Hemisphere stations using Southern Hemisphere Additional Ozonesonde (SHADOZ) data are presented for the 11-yr period of 1998–2008. Three different definitions ...

V. Sivakumar; H. Bencherif; N. Bègue; A. M. Thompson

2011-07-01T23:59:59.000Z

106

A 100-Yr CCM1 Simulation of North China's Hydrologic Cycle  

Science Conference Proceedings (OSTI)

The year to year variability in North China's summertime hydrologic cycle is analyzed in a 100-yr CCM1 simulation. Eastern North America is included for comparative purposes with earlier work. On the basis of the simulated inherent variability of ...

Zengquan Fan; Robert J. Oglesby

1996-01-01T23:59:59.000Z

107

A 6-yr Climatology of Fronts Affecting Helsinki, Finland, and Their Boundary Layer Structure  

Science Conference Proceedings (OSTI)

A 6-yr climatology of the frequency, characteristics, and boundary layer structure of synoptic-scale fronts in Helsinki, Finland, was created using significant weather charts and observations from a 327-m-tall mast and from the Station for ...

Victoria A. Sinclair

2013-09-01T23:59:59.000Z

108

Global Distribution of Hot Towers in Tropical Cyclones Based on 11-Yr TRMM Data  

Science Conference Proceedings (OSTI)

Global distribution of hot towers in tropical cyclones (TCs) is statistically quantified using an 11-yr Tropical Rainfall Measuring Mission (TRMM) Tropical Cyclone Precipitation Feature (TCPF) database. From 6003 individual TRMM overpasses of 869 ...

Cheng Tao; Haiyan Jiang

2013-02-01T23:59:59.000Z

109

Fuels from sugar crops. Second quarterly report  

DOE Green Energy (OSTI)

Substantial progress was made on both the agricultural and the processing aspects of the fuels from biomass research program. Despite droughts and hurricanes, yields on narrow row spacings show substantial gains over conventional spacings at all locations for both sugarcane and sweet sorghum. The biomass gains are most pronounced (40% to 100% increase) for Louisiana sugarcane and for sweet sorghum in Louisiana and Texas (50 to 100% gains). Although biomass increases are smaller in Florida, early ripening and possible soil conservation effects cause interest in close spacing in Florida to be maintained. The concept of integrating sweet sorghum production with sugarcane production could expand the area available for extensive sugar crop production by a factor of 10 or more. Sugar beets and sweet sorghum mesh together well from an agronomic viewpoint and the introduction of the Canadian Separator Equipment Process may make feasible integration of the processing of these crops. Evaluation of U.S. and Brazilian ethanol technology indicates that ethanol can be made quite economically in locations with long sugarcane processing seasons (e.g., Hawaii and Puerto Rico). The Melle Process practiced in Brazil appears to make possible extremely short fermentation times (10 to 16 hours, compared with 24 to 30 hours for U.S. practices). The primary key to reducing processing costs lies in increasing the concentration of ethanol in the fermented mash, not reduction in fermentation time. Suggestions for appropriate improvements have been made and the Reports of Invention filed with DOE's patent office. Five appendices are included.

Lipinsky, E.S.; Kresovich, S.; McClure, T.A.; Helper, E.W.; Lawhon, W.T.

1977-10-31T23:59:59.000Z

110

PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES  

E-Print Network (OSTI)

PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES A Thesis Submitted April 1995 #12;PERFORMANCE OF A SINGLE-ROW HEAT EXCHANGER AT LOW IN-TUBE FLOW RATES by Xiangwei Zhao Abstract The steady and time-dependentbehavior of a single-row heat exchanger with water and air in the in

Sen, Mihir

111

High Energy-Efficiency Retrofits to Baltimore's Row Homes  

SciTech Connect

The purpose of the research project is to develop high-perfommnce, energy-eflicient retrofits of existing row homes in Baltimore, Maryland. These efficiency enhancements are to optimize building envelope improvements, mechanical equipment improvements and operational improvements to the highest cost-effective level. Furthermore, this project is to investigate and demonstrate the impact of high-performance energy-efficiency retrofit improvements on row homes in the Historic East area of Baltimore. Three homes awaiting renovation are planned to receive building envelope, mechanical system, and electrical system improvements that will improve their energy petiormance. An incremental additional cost ceiling of $4000 for the energy eftlciency improvements, beyond those normally installed, has been set by the project.

Chalk, J.; Johnson, A.L.; Lipscomb, L.; Wendt, R.

1999-04-19T23:59:59.000Z

112

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2006;" 2 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

113

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

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

3.4 Number of Establishments by Fuel Consumption, 2006;" 3.4 Number of Establishments by Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

114

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2010;" 3 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

115

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2010;" 1.1 Electricity: Components of Net Demand, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",75652,21,5666,347,80993

116

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2010;" 4 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

117

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2006;" 4 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

118

" Row: Employment Sizes within NAICS Codes;"  

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

4 Consumption Ratios of Fuel, 2006;" 4 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic Characteristic(b)","(million Btu)","(thousand Btu)","(thousand Btu)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES"

119

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

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

2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" 2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," ",," " " "," ","Any Combustible" "NAICS"," ","Energy","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","and Breeze","Other(f)"

120

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2006;" 1.1 Electricity: Components of Net Demand, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",73242,309,4563,111,78003

Note: This page contains sample records for the topic "yr row crop" 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

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2006;" 3 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

122

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2010;" 2 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

123

Radioactivity in food crops  

SciTech Connect

Published levels of radioactivity in food crops from 21 countries and 4 island chains of Oceania are listed. The tabulation includes more than 3000 examples of 100 different crops. Data are arranged alphabetically by food crop and geographical origin. The sampling date, nuclide measured, mean radioactivity, range of radioactivities, sample basis, number of samples analyzed, and bibliographic citation are given for each entry, when available. Analyses were reported most frequently for /sup 137/Cs, /sup 40/K, /sup 90/Sr, /sup 226/Ra, /sup 228/Ra, plutonium, uranium, total alpha, and total beta, but a few authors also reported data for /sup 241/Am, /sup 7/Be, /sup 60/Co, /sup 55/Fe, /sup 3/H, /sup 131/I, /sup 54/Mn, /sup 95/Nb, /sup 210/Pb, /sup 210/Po, /sup 106/Ru, /sup 125/Sb, /sup 228/Th, /sup 232/Th, and /sup 95/Zr. Based on the reported data it appears that radioactivity from alpha emitters in food crops is usually low, on the order of 0.1 Bq.g/sup -1/ (wet weight) or less. Reported values of beta radiation in a given crop generally appear to be several orders of magnitude greater than those of alpha emitters. The most striking aspect of the data is the great range of radioactivity reported for a given nuclide in similar food crops with different geographical origins.

Drury, J.S.; Baldauf, M.F.; Daniel, E.W.; Fore, C.S.; Uziel, M.S.

1983-05-01T23:59:59.000Z

124

Evaluating environmental consequences of producing herbaceous crops for bioenergy  

SciTech Connect

The environmental costs and benefits of producing bioenergy crops can be measured both in kterms of the relative effects on soil, water, and wildlife habitat quality of replacing alternate cropping systems with the designated bioenergy system, and in terms of the quality and amount of energy that is produced per unit of energy expended. While many forms of herbaceous and woody energy crops will likely contribute to future biofuels systems, The Dept. of Energy`s Biofuels Feedstock Development Program (BFDP), has chosen to focus its primary herbaceous crops research emphasis on a perennial grass species, switchgrass (Panicum virgatum), as a bioenergy candidate. This choice was based on its high yields, high nutrient use efficiency, and wide geographic distribution, and also on its poistive environmental attributes. The latter include its positive effects on soil quality and stabiity, its cover value for wildlife, and the lower inputs of enerty, water, and agrochemicals required per unit of energy produced. A comparison of the energy budgets for corn, which is the primary current source of bioethanol, and switchgrass reveals that the efficiency of energy production for a perennial grass system can exceed that for an energy intensive annual row crop by as much as 15 times. In additions reductions in CO{sub 2} emission, tied to the energetic efficiency of producing transportation fuels, are very efficient with grasses. Calculated carbon sequestration rates may exceed those of annual crops by as much as 20--30 times, due in part to carbon storage in the soil. These differences have major implications for both the rate and efficiency with which fossil energy sources can be replaced with cleaner burning biofuels.

McLaughlin, S.B.

1995-12-31T23:59:59.000Z

125

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2006;" 1 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

126

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

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

1 Fuel Consumption, 2006;" 1 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,,,,"Coke" ,,,,"Net",,"Residual","Distillate","Natural Gas(d)",,"LPG and","Coal","and Breeze" "NAICS",,"Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","(billion",,"NGL(e)","(million","(million","Other(f)" "Code(a)","Subsector and Industry","(trillion Btu)",,"(million kWh)",,"(million bbl)","(million bbl)","cu ft)",,"(million bbl)","short tons)","short tons)","(trillion Btu)"

127

" 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

128

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2010;" 1 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

129

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

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

1 Offsite-Produced Fuel Consumption, 2010;" 1 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,"Coke" ,,,,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze" "NAICS",,"Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)" "Code(a)","Subsector and Industry","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","short tons)","(trillion Btu)"

130

" 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

131

" 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

132

The Environmental Impacts of Subsidized Crop Insurance  

E-Print Network (OSTI)

Impacts of Subsidized Crop Insurance page 17 ReferencesR.A. Kramer. “Experience with Crop Insurance Programs in theUnited States. ” Crop Insurance for Agricultural

LaFrance, Jeffrey T.; Shimshack, J. P.; Wu, S. Y.

2001-01-01T23:59:59.000Z

133

Spatial Patterns Confound Experiments in Orchard Crops  

E-Print Network (OSTI)

patterns differ among sites, crops, and process of interest,currently lacking in the tree crops, specifically, and thecommonly used in tree crop experiments and in fertilizer

Rosenstock, Todd S; Plant, Richard E; Brown, Patrick H

2009-01-01T23:59:59.000Z

134

Hardwood energy crops and wildlife diversity: Investigating potential benefits for breeding birds and small mammals  

DOE Green Energy (OSTI)

Hardwood energy crops have the potential to provide a profit to growers as well as environmental benefits (for water quality, soil stabilization, chemical runoff, and wildlife habitat). Environmental considerations are important for both sustainable development of bioenergy technologies on agricultural lands, and for public support. The Environmental Task of the US DOE`s Biofuels feedstock Development Program (BFDP) is working with industry, universities and others to determine how to plant, manage and harvest these crops to maximize environmental advantages and minimize impacts while economically meeting production needs. One research objective is to define and improve wildlife habitat value of these energy crops by exploring how breeding birds and small mammals use them. The authors have found increased diversity of birds in tree plantings compared to row crops. However, fewer bird and small mammal species use the tree plantings than use natural forest. Bird species composition on hardwood crops studied to date is a mixture of openland and forest bird species. Restricted research site availability to date has limited research to small acreage sites of several years of age, or to a few larger acreage but young (1--2 year) plantings. Through industry collaboration, research began this season on bird use of diverse hardwood plantings (different ages, acreages, tree species) in the southeast. Together with results of previous studies, this research will help define practical energy crop guidelines to integrate native wildlife benefits with productive energy crops.

Schiller, A. [Oak Ridge Associated Universities, TN (United States); Tolbert, V.R. [Oak Ridge National Lab., TN (United States). Biofuels Feedstock Development Program

1996-08-01T23:59:59.000Z

135

Legume Crop Genomics  

Science Conference Proceedings (OSTI)

This book will present this technical theme in a manner that should help many readers answer the question, "What is genomics?" And finally, this book should help readers formulate an opinion on the question, "Why is genomic research needed?" Legume Crop Ge

136

Crop Insurance Terms and Definitions  

E-Print Network (OSTI)

This publication is a glossary of terms used by the crop insurance industry. There are definitions for terms used in crop insurance documents and for terms pertaining to coverage levels, farming, reports, units and parties to contracts.

Stokes, Kenneth; Waller, Mark L.; Outlaw, Joe; Barnaby, G. A. Art

2008-10-17T23:59:59.000Z

137

Burnup Credit -- Contribution to the Analysis of the Yankee Rowe Radiochemical Assays  

Science Conference Proceedings (OSTI)

This report presents a methodology for validation of the isotopic contents of spent light water reactor fuel for actinide-only burnup credit with additional high-quality radiochemistry assay (RCA) data obtained from the Yankee Rowe pressurized water reactor. The additional Yankee Rowe RCA data were not included in previous isotopic validation studies for burnup credit due to the difficulty of accurately modeling the complex Yankee Rowe fuel assembly design using the SAS2H one-dimensional sequence of the ...

2011-10-11T23:59:59.000Z

138

Weed Management in Pulse Crops  

E-Print Network (OSTI)

During At harvest #12;GoldSky ­ Crop Rotation · 9 Months: alfalfa, barley, canola, chickpea, dry bean PEA CAMELINA CANOLA BARLEY GOLDSKY Crop Rotation Study #12;GoldSky Crop Rotation Study ­ Herbicide #12;0 10 20 30 40 50 60 70 80 90 Lentil Canola Camelina Barley Field Pea Oat VisualDamage(%) GoldSky 1

Maxwell, Bruce D.

139

Biomass Energy Crops: Massachusetts' Potential  

E-Print Network (OSTI)

Biomass Energy Crops: Massachusetts' Potential Prepared for: Massachusetts Division of Energy;#12;Executive Summary In Massachusetts, biomass energy has typically meant wood chips derived from the region's extensive forest cover. Yet nationally, biomass energy from dedicated energy crops and from crop residues

Schweik, Charles M.

140

Property:Building/SPPurchasedEngyForPeriodMwhYrWoodChips | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrWoodChips SPPurchasedEngyForPeriodMwhYrWoodChips Jump to: navigation, search This is a property of type String. Wood chips Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrWoodChips" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

Note: This page contains sample records for the topic "yr row crop" 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

Property:Building/SPPurchasedEngyForPeriodMwhYrLogs | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrLogs SPPurchasedEngyForPeriodMwhYrLogs Jump to: navigation, search This is a property of type String. Logs Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrLogs" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

142

Property:Building/SPPurchasedEngyForPeriodMwhYrTotal | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrTotal SPPurchasedEngyForPeriodMwhYrTotal Jump to: navigation, search This is a property of type String. Total Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 4228.0 + Sweden Building 05K0002 + 1501.1 + Sweden Building 05K0003 + 847.1 + Sweden Building 05K0004 + 4360.9 + Sweden Building 05K0005 + 727.6 + Sweden Building 05K0006 + 2915.1 + Sweden Building 05K0007 + 3385.0 + Sweden Building 05K0008 + 1282.0 + Sweden Building 05K0009 + 4739.0 + Sweden Building 05K0010 + 127.52 + Sweden Building 05K0011 + 1436.0 + Sweden Building 05K0012 + 2334.65 + Sweden Building 05K0013 + 3323.0 + Sweden Building 05K0014 + 381.66 + Sweden Building 05K0015 + 257.0 +

143

Property:Building/SPPurchasedEngyForPeriodMwhYrElctrtyTotal | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrElctrtyTotal SPPurchasedEngyForPeriodMwhYrElctrtyTotal Jump to: navigation, search This is a property of type String. Electricity, total Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrElctrtyTotal" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 1399.0 + Sweden Building 05K0002 + 686.9 + Sweden Building 05K0003 + 321.8 + Sweden Building 05K0004 + 1689.9 + Sweden Building 05K0005 + 122.6 + Sweden Building 05K0006 + 843.1 + Sweden Building 05K0007 + 1487.0 + Sweden Building 05K0008 + 315.0 + Sweden Building 05K0009 + 1963.0 + Sweden Building 05K0010 + 66.52 + Sweden Building 05K0011 + 391.0 + Sweden Building 05K0012 + 809.65 + Sweden Building 05K0013 + 1199.0 + Sweden Building 05K0014 + 227.66 +

144

Property:Building/SPPurchasedEngyForPeriodMwhYrDstrtHeating | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrDstrtHeating SPPurchasedEngyForPeriodMwhYrDstrtHeating Jump to: navigation, search This is a property of type String. District heating Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrDstrtHeating" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 2067.0 + Sweden Building 05K0002 + 492.2 + Sweden Building 05K0003 + 473.4 + Sweden Building 05K0004 + 1763.0 + Sweden Building 05K0005 + 605.0 + Sweden Building 05K0006 + 1727.0 + Sweden Building 05K0007 + 1448.0 + Sweden Building 05K0008 + 844.0 + Sweden Building 05K0009 + 2176.0 + Sweden Building 05K0010 + 61.0 + Sweden Building 05K0011 + 967.0 + Sweden Building 05K0012 + 1185.0 + Sweden Building 05K0013 + 1704.0 + Sweden Building 05K0014 + 154.0 + Sweden Building 05K0015 + 145.0 +

145

Property:Building/SPPurchasedEngyForPeriodMwhYrDigesterLandfillGas | Open  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrDigesterLandfillGas SPPurchasedEngyForPeriodMwhYrDigesterLandfillGas Jump to: navigation, search This is a property of type String. Digester / landfill gas Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrDigesterLandfillGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

146

Property:Building/SPPurchasedEngyForPeriodMwhYrTownGas | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrTownGas SPPurchasedEngyForPeriodMwhYrTownGas Jump to: navigation, search This is a property of type String. Town gas Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrTownGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

147

Property:Building/SPPurchasedEngyForPeriodMwhYrNaturalGas | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrNaturalGas SPPurchasedEngyForPeriodMwhYrNaturalGas Jump to: navigation, search This is a property of type String. Natural gas Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrNaturalGas" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

148

Property:Building/SPPurchasedEngyForPeriodMwhYrDstrtColg | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrDstrtColg SPPurchasedEngyForPeriodMwhYrDstrtColg Jump to: navigation, search This is a property of type String. District cooling Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrDstrtColg" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 762.0 + Sweden Building 05K0002 + 322.0 + Sweden Building 05K0003 + 51.9 + Sweden Building 05K0004 + 908.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 345.0 + Sweden Building 05K0007 + 450.0 + Sweden Building 05K0008 + 123.0 + Sweden Building 05K0009 + 600.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 78.0 + Sweden Building 05K0012 + 340.0 + Sweden Building 05K0013 + 420.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

149

Property:Building/SPPurchasedEngyForPeriodMwhYrPellets | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrPellets SPPurchasedEngyForPeriodMwhYrPellets Jump to: navigation, search This is a property of type String. Pellets Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrPellets" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

150

Property:Building/SPPurchasedEngyForPeriodMwhYrOil-FiredBoiler | Open  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrOil-FiredBoiler SPPurchasedEngyForPeriodMwhYrOil-FiredBoiler Jump to: navigation, search This is a property of type String. Oil-fired boiler Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrOil-FiredBoiler" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 +

151

Property:Building/SPPurchasedEngyForPeriodMwhYrOther | Open Energy  

Open Energy Info (EERE)

SPPurchasedEngyForPeriodMwhYrOther SPPurchasedEngyForPeriodMwhYrOther Jump to: navigation, search This is a property of type String. Other Pages using the property "Building/SPPurchasedEngyForPeriodMwhYrOther" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 0.0 + Sweden Building 05K0002 + 0.0 + Sweden Building 05K0003 + 0.0 + Sweden Building 05K0004 + 0.0 + Sweden Building 05K0005 + 0.0 + Sweden Building 05K0006 + 0.0 + Sweden Building 05K0007 + 0.0 + Sweden Building 05K0008 + 0.0 + Sweden Building 05K0009 + 0.0 + Sweden Building 05K0010 + 0.0 + Sweden Building 05K0011 + 0.0 + Sweden Building 05K0012 + 0.0 + Sweden Building 05K0013 + 0.0 + Sweden Building 05K0014 + 0.0 + Sweden Building 05K0015 + 0.0 + Sweden Building 05K0016 + 0.0 +

152

Provably Near-Optimal Solutions for Very Large Single-Row Facility ...  

E-Print Network (OSTI)

Mar 14, 2009 ... This paper is concerned with the single-row facility ..... A standard way to tighten linear or semidefinite relaxations of integer optimization ...

153

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

Gasoline and Diesel Fuel Update (EIA)

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

154

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

Gasoline and Diesel Fuel Update (EIA)

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

155

Energy Conservation Analysis of Three-Row-Hole Hollow Blocks  

E-Print Network (OSTI)

In recent years, solid clay blocks have been forbidden in large and middle cities with the wall reformation policy issued in China. Many kinds of new wall materials have appeared in the market, but little research has been done on these new materials' energy conserving effects. The government of China adopted forcible energy conserving measures in the building industry in 2005. Because of this, more attention is being paid to the energy-conserving ability of the wall material. In this paper, we investigate the thermal properties of two different kinds of three-row-hole blocks through experiments, analyze their energy conserving index, and suggest ways to save energy based on the results of the investigation.

Chen, G.; Li, H.; Liu, Z.

2006-01-01T23:59:59.000Z

156

" Row: Selected SIC Codes; Column: Energy Sources and Shipments;"  

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

2. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" 2. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources and Shipments;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," "," ",," "," ",," "," ",," ","Shipments","RSE" "SIC"," ",,"Net","Residual","Distillate",,"LPG and",,"Coke and"," ","of Energy Sources","Row"

157

GRR/Section 3-AK-b - Right of Ways (ROWs) | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 3-AK-b - Right of Ways (ROWs) GRR/Section 3-AK-b - Right of Ways (ROWs) < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-AK-b - Right of Ways (ROWs) 03AKBRightOfWaysROWs.pdf Click to View Fullscreen Contact Agencies Alaska Department of Natural Resources Alaska Division of Mining Land and Water Regulations & Policies Alaska Statutes Alaska Administrative Code Triggers None specified Click "Edit With Form" above to add content 03AKBRightOfWaysROWs.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative The Alaska Division of Mining Land and Water (ML&W) oversees land use within the state and issues right of ways, easements or permit to use state

158

GRR/Section 3-HI-e - Permit to Construct Upon a State Highway ROW | Open  

Open Energy Info (EERE)

GRR/Section 3-HI-e - Permit to Construct Upon a State Highway ROW GRR/Section 3-HI-e - Permit to Construct Upon a State Highway ROW < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-HI-e - Permit to Construct Upon a State Highway ROW 03HIEConstructionUponAStateHighwayROW.pdf Click to View Fullscreen Contact Agencies Hawaii Department of Transportation Highways Division Regulations & Policies Hawaii Revised Statute Chapter 264 Hawaii Administrative Rules Title 19, Chapter 102 Hawaii Administrative Rules Title 19, Chapter 105 Triggers None specified Click "Edit With Form" above to add content 03HIEConstructionUponAStateHighwayROW.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range.

159

Crop to wild introgression in lettuce: following the fate of crop genome segments in backcross populations  

E-Print Network (OSTI)

article as: Uwimana et al. : Crop to wild introgression infollowing the fate of crop genome segments in backcrossto the wild parent reduces the crop genome content in amount

2012-01-01T23:59:59.000Z

160

Crop specific micronutrient formulations for limited resource situation for horticultural crops  

E-Print Network (OSTI)

management in horticultural crops, but this approach is nothectares under horticultural crops are managed in about 2.2monitoring was done for crops (mango, banana, orange) for

Muthaia, Edward Raja Dr

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

Conservation tillage and cover cropping influence soil properties in San Joaquin Valley cotton-tomato crop  

E-Print Network (OSTI)

STNO Fertilizer Cover crop Total Harvest Balance . . . . . .conservation tillage, cover crop CTNO: conservation tillagestandard tillage, cover crop STNO: standard tillage only

Veenstra, Jessica; Horwath, William; Mitchell, Jeffrey; Munk, Dan

2006-01-01T23:59:59.000Z

162

HORTICULTURAL & FOREST CROPS 2012 Floral Crops: Insects 5-19  

E-Print Network (OSTI)

. In order to use a pesticide safely and effectively, the product label should be read thoroughly each time. Effective application of pesticides depends on: proper timing, favorable treatment conditions of temperature;HORTICULTURAL & FOREST CROPS 2012 5-20 Floral Crops: Insects · Apply pesticides when foliage is dry

Liskiewicz, Maciej

163

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

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

3.4 Number of Establishments by Fuel Consumption, 2006; 3.4 Number of Establishments by Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,113 326 1,462 11,395 2,920 67 13 1,240 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 148 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 18 31131 Sugar Manufacturing 78 78 11 43 61 35 26 13 45 3114 Fruit and Vegetable Preserving and Specialty Food 1,125 1,125 13 112 961 325 W 0 127 3115 Dairy Product 1,044 1,044 25 88 941 147 W 0 104 3116 Animal Slaughtering and Processing

164

Level: National Data; Row: Values of Shipments within NAICS Codes;  

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

3 Consumption Ratios of Fuel, 2006; 3 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 330.6 3.6 2.0 20-49 550.0 4.5 2.2 50-99 830.1 5.9 2.7 100-249 1,130.0 6.7 3.1 250-499 1,961.4 7.6 3.6 500 and Over 3,861.9 9.0 3.6 Total 1,278.4 6.9 3.1 311 FOOD Value of Shipments and Receipts (million dollars) Under 20 979.3 10.3

165

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

Gasoline and Diesel Fuel Update (EIA)

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010; 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 13,269 13,265 144 2,413 10,373 4,039 64 W 1,496 3112 Grain and Oilseed Milling 602 602 9 201 489 268 30 0 137 311221 Wet Corn Milling 59 59 W 26 50 36 15 0 28 31131 Sugar Manufacturing 73 73 3 36 67 12 11 W 11 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987 17 207 839 503 W 0 207 3115 Dairy Products 998 998 12 217 908 161 W 0 79 3116 Animal Slaughtering and Processing

166

Level: National Data; Row: Employment Sizes within NAICS Codes;  

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

4 Consumption Ratios of Fuel, 2006; 4 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Employment Sizes within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Employment Size Under 50 562.6 4.7 2.4 50-99 673.1 5.1 2.4 100-249 1,072.8 6.5 3.0 250-499 1,564.3 7.7 3.6 500-999 2,328.9 10.6 4.5 1000 and Over 1,415.5 5.7 2.5 Total 1,278.4 6.9 3.1 311 FOOD Employment Size Under 50 1,266.8 8.3 3.2 50-99 1,587.4 9.3 3.6 100-249 931.9 3.6 1.5 250-499 1,313.1 6.3

167

Level: National Data; Row: Values of Shipments within NAICS Codes;  

Gasoline and Diesel Fuel Update (EIA)

3 Consumption Ratios of Fuel, 2010; 3 Consumption Ratios of Fuel, 2010; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 405.4 4.0 2.1 20-49 631.3 4.7 2.2 50-99 832.0 4.9 2.3 100-249 1,313.4 6.2 2.8 250-499 1,905.2 7.4 3.6 500 and Over 4,225.4 7.5 3.1 Total 1,449.6 6.4 2.8 311 FOOD Value of Shipments and Receipts (million dollars) Under 20 576.6 5.9

168

Global Paleoclimatic Data for 6000 Yr B.P. (1985) (NDP-011)  

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

Global Paleoclimatic Data for 6000 Yr B.P. (1985) (NDP-011) DOI: 10.3334/CDIAC/cli.ndp011 data Data PDF PDF File Investigator T. Webb, III To determine regional and global climatic variations during the past 6000 years, pollen, lake level, and marine plankton data from 797 stations were compiled to form a global data set. Radiocarbon dating and dated tephras were used to determine the ages of the specimens. The data available for the pollen data are site number, site name, latitude, longitude, elevation, and percentages of various taxa. For lake-level data, the data are site number, site name, latitude, longitude, and lake-level status. And for marine plankton, the data are site number, site name, latitude, longitude, water depth, date, dating control code, depth of sample, interpolated age

169

Extended Power Uprates and 2-yr Cycles for BWRs - Where Do We Go from Here?  

SciTech Connect

Boiling water reactors (BWRs) in the United States have transitioned over the past 30 yr from 7 x 7 and 8 x 8 fuels, 12-month cycles, and batch average burnups of 30 GWd/tonne U to 10 x 10 fuel, 18- to 24-month cycles, batch average burnups of 50 GWd/tonne U, and 5% power uprates in the 1990s. The next step for BWRs in the new millennium is 24-month cycles and extended power uprates as high as 120% power. These operating conditions lead to large reload fuel batch sizes (up to 45% of the core) that result in lower batch average discharge burnups ({approx}45 GWd/tonne U). Parameters driving the drop in fuel burnup include enrichment limitations and the need for fuel performance improvements. The next steps to achieve better BWR fuel cycle economics and their associated benefits and implementation challenges are discussed in this paper.

Brown, Craig; Hartley, Ken; Hulsman, Jim [Framatome ANP (France)

2005-08-15T23:59:59.000Z

170

A 36-yr Climatological Description of the Evaporative Sources of Warm-Season Precipitation in the Mississippi River Basin  

Science Conference Proceedings (OSTI)

The terrestrial and oceanic sources of moisture that supply warm-season rainfall to the Mississippi River basin and its subbasins are examined over a 36-yr period (1963–98). Using hourly observed precipitation, National Centers for Environmental ...

Kaye L. Brubaker; Paul A. Dirmeyer; Arief Sudradjat; Benjamin S. Levy; Fredric Bernal

2001-12-01T23:59:59.000Z

171

The Lower-Stratospheric Response to 11-Yr Solar Forcing: Coupling to the Troposphere–Ocean Response  

Science Conference Proceedings (OSTI)

The origin of the tropical lower-stratospheric response to 11-yr solar forcing and its possible coupling to a troposphere–ocean response is investigated using multiple linear regression (MLR) analyses of stratospheric ozone and temperature data ...

Lon L. Hood; Boris E. Soukharev

2012-06-01T23:59:59.000Z

172

Association between the 11-Yr Solar Cycle, the QBO, and the Atmosphere. Part III: Aspects of the Association  

Science Conference Proceedings (OSTI)

The probable association in the northern winter between the atmosphere and the 11-yr solar cycle extends to the frequency of lows in the North American east coast trough and thus adds a synoptic aspect to the previously described atmospheric ...

Karin Labitzke; Harry Van Loon

1989-06-01T23:59:59.000Z

173

The Surface Climate Response to 11-Yr Solar Forcing During Northern Winter: Observational Analyses and Comparisons With GCM Simulations  

Science Conference Proceedings (OSTI)

The surface climate response to 11-yr solar forcing during northern winter is first re-estimated by applying a multiple linear regression (MLR) statistical model to Hadley Centre sea level pressure (SLP) and sea surface temperature (SST) data over ...

Lon Hood; Semjon Schimanke; Thomas Spangehl; Sourabh Bal; Ulrich Cubasch

174

Spatial and Temporal Variability of Southern California Precipitation over the Last 400 yr and Relationships to Atmospheric Circulation Patterns  

Science Conference Proceedings (OSTI)

Tree-ring chronologies have been used to develop a 400-yr spatial reconstruction of precipitation in coastal and near-interior southern California. This was accomplished by reconstructing the first two precipitation principal components of a 29-...

Laura Haston; Joel Michaelsen

1997-08-01T23:59:59.000Z

175

The Roles of CO2 and Orbital Forcing in Driving Southern Hemispheric Temperature Variations during the Last 21 000 Yr  

Science Conference Proceedings (OSTI)

Transient climate model simulations covering the last 21 000 yr reveal that orbitally driven insolation changes in the Southern Hemisphere, combined with a rise in atmospheric pCO2, were sufficient to jump-start the deglacial warming around ...

Axel Timmermann; Oliver Timm; Lowell Stott; Laurie Menviel

2009-04-01T23:59:59.000Z

176

Pacific Interannual and Interdecadal Equatorial Variability in a 1000-Yr Simulation of the CSIRO Coupled General Circulation Model  

Science Conference Proceedings (OSTI)

The structure and evolution of, and the mechanisms responsible for, interannual and decadal equatorial variability in a 1000-yr simulation of the Commonwealth Scientific and Industrial Research Organisation (CSIRO) coupled general circulation ...

Daniel J. Vimont; David S. Battisti; Anthony C. Hirst

2002-01-01T23:59:59.000Z

177

The Surface Climate Response to 11-Yr Solar Forcing during Northern Winter: Observational Analyses and Comparisons with GCM Simulations  

Science Conference Proceedings (OSTI)

The surface climate response to 11-yr solar forcing during northern winter is first reestimated by applying a multiple linear regression (MLR) statistical model to Hadley Centre sea level pressure (SLP) and sea surface temperature (SST) data over ...

Lon Hood; Semjon Schimanke; Thomas Spangehl; Sourabh Bal; Ulrich Cubasch

2013-10-01T23:59:59.000Z

178

Global Seed and Crop Technology  

E-Print Network (OSTI)

Adventitious presence deserves discussion to understand whether farmers engaged in conventional, organic, and transgenic agriculture can coexist as neighbors using known and practical agronomic practices. When a farmer buys and sows certified seed of his or her chosen crop variety, the crop starts with the highest degree of purity deemed commercially achievable, which then becomes increasingly less pure as various

L. Kershen; Alan Mchughen; Earl Sneed; Centennial Professor; Law Biotechnology Specialist; Thomas Parker Redick

2005-01-01T23:59:59.000Z

179

Crop residues as feedstock for renewable fuels  

Science Conference Proceedings (OSTI)

Nutrient removal and net costs weigh on decisions to use crop residues as biofuel feedstocks. Crop residues as feedstock for renewable fuels Inform Magazine Biofuels and Bioproducts and Biodiesel Inform Archives Crop residues as feedstock for rene

180

Cassava, a potential biofuel crop in China  

E-Print Network (OSTI)

breeding program for cassava. Crop Sci 1998; 38: 325-332. [opportunities for an ancient crop. seventh regional cassavaCassava, a potential biofuel crop in China Christer Jansson

Jansson, C.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

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

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

N7.1. Consumption Ratios of Fuel, 1998;" N7.1. Consumption Ratios of Fuel, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per Employee","of Value Added","of Shipments","Row" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

182

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

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

1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 1. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,"Coke" " "," "," ","Residual","Distillate","Natural Gas(c)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Fuel Oil","Fuel Oil(b)","(billion","NGL(d)","(million","(million","Other(e)","Row"

183

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

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

1 Consumption Ratios of Fuel, 2002;" 1 Consumption Ratios of Fuel, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per Employee","of Value Added","of Shipments","Row" "Code(a)","Subsector and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","Factors"

184

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," "," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)","Row"

185

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

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

2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" 2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "NAICS"," "," ","Residual","Distillate",,"LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

186

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

187

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2002;" 5 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Row"

188

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2002;" 6 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

189

" Row: Energy-Management Activities within NAICS Codes;"  

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

1 Number of Establishments by Participation in Energy-Management Activity, 2002;" 1 Number of Establishments by Participation in Energy-Management Activity, 2002;" " Level: National Data; " " Row: Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Financial Support for Activity;" " Unit: Establishment Counts." " "," "," ",,,,," " " "," ",,," Source of Financial Support for Activity",,,"RSE" "NAICS"," "," ",,,,,"Row" "Code(a)","Energy-Management Activity","No Participation","Participation(b)","In-house","Other","Don't Know","Factors"

190

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

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

N4.1. Offsite-Produced Fuel Consumption, 1998;" N4.1. Offsite-Produced Fuel Consumption, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","NGL(e)","(million","(million","Other(f)","Row"

191

" Level: National Data;" " Row: NAICS Codes;"  

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

1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002;" 1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Coal(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","LPG","Other(f)","Factors"

192

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

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

.1. Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" .1. Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources and Shipments;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ","Any",," "," ",," "," ",," ","Shipments","RSE" "NAICS"," ","Energy","Net","Residual","Distillate",,"LPG and",,"Coke and"," ","of Energy Sources","Row"

193

Environmental effects of planting energy crops at larger scales on agricultural lands  

DOE Green Energy (OSTI)

Increasing from research-scale to larger-scale plantings of herbaceous and short rotation woody crops on agricultural land in the United States has raised questions about the positive and negative environmental effects of farmland conversion. Research currently underway at experimental plot scales enables us examine runoff quality and quantity, erosion, and changes in soil characteristics associated with these energy crops compared to conventional row crops. A study of the fate of chemicals applied to the different crop types will enhance our knowledge of uptake, release, and off-site movement of nutrients and pesticides. Ongoing biodiversity studies in the North Central US allow us to compare differences in scale of plantings on bird and small mammal populations and habitat use. Plantings of 50--100 or more contiguous acres are needed to allow both researchers and producers to determine the benefits of including temporal energy crop rotations in the landscape. Results from these larger-scale plantings will help identify (1) the monitoring requirements needed to determine environmental effects of larger-scale plantings, (2) the best methods to determine the environmental effects of rotation length and the best crop management strategies for full-scale production. Because of the variations in soils, temperature, rainfall and other climatic conditions, as well as differences in the types of energy crops most suited for different regions, monitoring of large-scale plantings in these different regions of the US will be required to predict the environmental effects of regional agricultural land-use shifts for full-scale plantings.

Tolbert, V.R.; Downing, M.

1995-09-01T23:59:59.000Z

194

Environmental effects of planting biomass crops at larger scales on agricultural lands  

DOE Green Energy (OSTI)

Increasing from research-scale to larger-scale plantings of herbaceous. and short rotation woody crops on agricultural land in the United States has raised questions about the positive and negative environmental effects of farmland conversion. Research currently underway at experimental plot scales enables us examine runoff quality and quantity, erosion, and changes in soil characteristics associated with these energy crops compared to conventional row crops. A study of the fate of chemicals applied to the different crop types will enhance our knowledge of uptake, release, and off-site movement of nutrients and pesticides. Ongoing biodiversity studies in the North Central US allow us to compare differences in scale of plantings on bird and small mammal populations and habitat use. Plantings of 50--100 or more contiguous acres are needed to allow both researchers and producers to determine the benefits of including temporal energy crop rotations in the landscape. Results from these larger-scale plantings will help identify (1) the monitoring requirements needed to determine environmental effects of larger-scale plantings, (2) the best methods to determine the environmental effects of rotation length and the best crop management strategies for full-scale production. Because of the variations in soils, temperature, rainfall and other climatic conditions, as well as differences in the types of energy crops most suited for different regions, monitoring of large-scale plantings in these different regions of the US will be required to predict the environmental effects of regional agricultural land-use shifts for full-scale plantings.

Tolbert, V.R.; Downing, M.E.

1995-09-01T23:59:59.000Z

195

Cover Crops for the Garden  

E-Print Network (OSTI)

matter for your soil or compost pile. Organic matter is thatin the spring or made into compost, cover crops will act asgathered up and added to your compost pile. The first method

2008-01-01T23:59:59.000Z

196

Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review  

E-Print Network (OSTI)

Abstract: Site-specific crop management (SSCM) is one facet of precision agriculture which is helping increase production with minimal input. It has enhanced the cost-benefit scenario in crop production. Even though the SSCM is very widely used in row crop agriculture like corn, wheat, rice, soybean, etc. it has very little application in cash crops like fruit and nut. The main goal of this review paper was to conduct a comprehensive review of advanced technologies, including geospatial technologies, used in site-specific management of fruit and nut crops. The review explores various remote sensing data from different platforms like satellite, LIDAR, aerial, and field imaging. The study analyzes the use of satellite sensors, such as Quickbird, Landsat, SPOT, and IRS imagery as well as hyperspectral narrow-band remote sensing data in study of fruit and nut crops in blueberry, citrus, peach, apple, etc. The study also explores other geospatial technologies such as GPS, GIS spatial modeling, advanced image processing techniques, and information technology for suitability study, orchard delineation, and classification accuracy assessment. The study also provides an example of a geospatial model developed in ArcGIS ModelBuilder to automate the blueberry production suitability analysis. The GIS

Sudhanshu Sekhar P; Gerrit Hoogenboom; Joel O. Paz

2010-01-01T23:59:59.000Z

197

Effect of continuous cropping on changes in crop productivity nutrient budgets and soil properties with and without FYM under pearl millet - mustard – cowpea cropping sequence  

E-Print Network (OSTI)

KKM. In: Soil fertility and crop production under long-termfertilization for sustaining crop productivity at Punjabimportant factors that limit crop yield. Addition of organic

PATEL, KISHORBHAI PARSOTTAM; Swarnkar, Puspkant K; Singh, Mahavir

2009-01-01T23:59:59.000Z

198

Trends of Atlantic Wave Extremes as Simulated in a 40-Yr Wave Hindcast Using Kinematically Reanalyzed Wind Fields  

Science Conference Proceedings (OSTI)

In this study, seasonal extremes of wave height in the North Atlantic are analyzed. The analysis is based on a 40-yr (1958–97) numerical wave hindcast using an intensive kinematic reanalysis of wind fields. Changes in the ocean wave extremes are ...

Xiaolan L. Wang; Val R. Swail

2002-05-01T23:59:59.000Z

199

Mechanisms Involved in the Amplification of the 11-yr Solar Cycle Signal in the Tropical Pacific Ocean  

Science Conference Proceedings (OSTI)

It is debated whether the response of the tropical Pacific Ocean to the 11-yr solar cycle forcing resembles a La Niña– or El Niño–like signal. To address this issue, ensemble simulations employing an atmospheric general circulation model with and ...

Stergios Misios; Hauke Schmidt

2012-07-01T23:59:59.000Z

200

Quasi-4-Yr Coupling between El Niño–Southern Oscillation and Water Vapor Transport over East Asia–WNP  

Science Conference Proceedings (OSTI)

The summer moisture circulation anomaly over East Asia and the western North Pacific (WNP) couples well with the El Niño–Southern Oscillation (ENSO) in a quasi-4-yr period. The moisture circulation is dominated by two well-separated modes. The ...

Xiuzhen Li; Wen Zhou

2012-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

Evaluation of the Simple Urban Energy Balance Model Using Selected Data from 1-yr Flux Observations at Two Cities  

Science Conference Proceedings (OSTI)

The authors’ objective was to apply the Simple Urban Energy Balance Model for Mesoscale Simulation (SUMM) to cities. Data were selected from 1-yr flux observations conducted at three sites in two cities: one site in Kugahara, Japan (Ku), and two ...

Toru Kawai; Mohammad Kholid Ridwan; Manabu Kanda

2009-04-01T23:59:59.000Z

202

A 25-yr Climatology of Large-Amplitude Hourly Surface Pressure Changes over the Conterminous United States  

Science Conference Proceedings (OSTI)

Hourly surface pressure observations for a 25-yr period (1949–63; 1984–93) for the conterminous United States have been used to map the distribution of large hourly pressure changes defined as falls or rises in excess of 4.25 hPa. Initially, 8431 ...

Lorna L. Koppel; Lance F. Bosart; Daniel Keyser

2000-01-01T23:59:59.000Z

203

Beliefs about heart failure Imagine you are a 75yr old person who is visiting a doctor  

E-Print Network (OSTI)

Beliefs about heart failure Imagine you are a 75yr old person who is visiting a doctor You have doctor tells you that you have `heart failure' OR Fluid on your lungs as your heart is not pumping hard. 1 2 3 4 Do you know anybody who has had Heart Failure....................yes / no Do you know

Doran, Simon J.

204

Examining the Interaction of Growing Crops with Local Climate Using a Coupled Crop–Climate Model  

Science Conference Proceedings (OSTI)

This paper examines to what extent crops and their environment should be viewed as a coupled system. Crop impact assessments currently use climate model output offline to drive process-based crop models. However, in regions where local climate is ...

Tom Osborne; Julia Slingo; David Lawrence; Tim Wheeler

2009-03-01T23:59:59.000Z

205

GRR/Section 3-NV-c - Encroachment Permit for NDOT ROW | Open Energy  

Open Energy Info (EERE)

GRR/Section 3-NV-c - Encroachment Permit for NDOT ROW GRR/Section 3-NV-c - Encroachment Permit for NDOT ROW < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-NV-c - Encroachment Permit for NDOT ROW 03NVCEncroachment (1).pdf Click to View Fullscreen Contact Agencies Nevada Department of Transportation Regulations & Policies NRS Chapter 405 Control and Preservation of Public Highways Triggers None specified Click "Edit With Form" above to add content 03NVCEncroachment (1).pdf 03NVCEncroachment (1).pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative The Nevada Department of Transportation (NDOT) grants permits for permanent installations within State rights-of-way and in areas maintained by the

206

Microsoft Word - CX-Pearl-Keeler_ROW_Marking_10June2013  

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

Rick Teiper Rick Teiper Project Manager - TERM-TPP-4 Proposed Action: Pearl-Keeler Right-of-Way (ROW) Marking Project Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B1.3 Routine Maintenance Location: Washington County, Oregon Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA proposes to survey and mark the Pearl-Keeler No. 1 transmission line ROW boundary in Washington County, Oregon. The installation of markers to demarcate BPA's ROW would prevent encroachment from homeowners and developers, ensure the safety of nearby residents, and allow for the continued safe maintenance and operation of BPA's transmission lines. The proposed Project would install yellow carsonite markers and monuments along an

207

" Level: National Data;" " Row: NAICS Codes;"  

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

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002;" 9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Residual",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)","Factors"

208

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002;" 3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","Coal","Breeze","Other(f)","Factors"

209

" Row: Energy-Management Activities within NAICS Codes;"  

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

C9.1. Number of Establishments by Participation in Energy-Management Activity, 1998;" C9.1. Number of Establishments by Participation in Energy-Management Activity, 1998;" " Level: National Data; " " Row: Energy-Management Activities within NAICS Codes;" " Column: Participation and General Amounts of Establishment-Paid Activity Cost;" " Unit: Establishment Counts." " "," "," ",,,,,," " " "," ",,,"General","Amount of ","Establishment-Paid","Activity Cost","RSE" "NAICS"," "," ",,,,,,"Row" "Code(a)","Energy-Management Activity","No Participation","Participation(b)","All","Some","None","Don't Know","Factors"

210

A numerical study of bench blast row delay timing and its influence on percent-cast  

SciTech Connect

The computer program, DMC (Distinct Motion Code), which was developed for simulating the rock motion associated with blasting, has been used to study the influence of row delay timing on rock motion. The numerical simulations correspond with field observations in that very short delays (< 50ms) and very long delays (> 300ms) produce a lower percent-cast than a medium delay (100 to 200 ms). The DMC predicted relationship between row delay timing and percent-cast is more complex than expected with a dip in the curve where the optimum timing might be expected. More study is required to gain a full understanding of this phenomenon.

Preece, D.S.

1993-11-01T23:59:59.000Z

211

" Level: National Data;" " Row: NAICS Codes;"  

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

5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" 5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Residual Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate",,,"and",,"Row" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)","Factors"

212

" Row: Industry-Specific Technologies within Selected NAICS Codes;"  

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

3. Number of Establishments by Usage of Energy-Saving Technologies for Specific Industries, 1998;" 3. Number of Establishments by Usage of Energy-Saving Technologies for Specific Industries, 1998;" " Level: National Data; " " Row: Industry-Specific Technologies within Selected NAICS Codes;" " Column: Usage;" " Unit: Establishment Counts." ,,,,,"RSE" "NAICS"," ",,,,"Row" "Code(a)","Industry-Specific Technology","In Use(b)","Not in Use","Don't Know","Factors" ,,"Total United States" ,"RSE Column Factors:",1.3,0.5,1.5 , 311,"FOOD" ," Infrared Heating",762,13727,2064,1.8 ," Microwave Drying",270,14143,2140,2.5

213

Despite benefits, commercialization of transgenic horticultural crops lags  

E-Print Network (OSTI)

L. Gianessi is Director, Crop Protection Research Institute,differ- ent folks in tree crops: What works and what doesBiotechnology of floriculture crops — scientific questions

Clark, David; Klee, Harry; Dandekar, Abhaya

2004-01-01T23:59:59.000Z

214

Survey of glucosinolate variation in leaves of Brassica rapa crops  

E-Print Network (OSTI)

1), representing most major crops of B. rapa, were sampledgsl-containing vegetable crops included in human diet. A fewbeen surveyed in several crops such as broccoli, broccoli

Yang, Bo; Quiros, Carlos F.

2010-01-01T23:59:59.000Z

215

Blueberry research launches exciting new California specialty crop  

E-Print Network (OSTI)

2. Estimated highbush blueberry crop, 2004 State Growers whoin spearhead- ing specialty crops research and efforts tonew California specialty crop Manuel Jimenez Francis

Jimenez, Manuel; Carpenter, Francis; Molinar, Richard H.; Wright, Kathryn; Day, Kevin R.

2005-01-01T23:59:59.000Z

216

Microbial Diversity-Based Novel Crop Protection Products  

E-Print Network (OSTI)

ial divers ity- based new crop protection products andicultural production of major crop plan ts and industrialand insect pests major crop plants. If the of cell- free

Yalpani, Ronald Flannagan, Rafael Herrmann, James Presnail, Tamas Torok, and Nasser

2011-01-01T23:59:59.000Z

217

A Statistical Profile of Horticultural Crop Farm Industries in California  

E-Print Network (OSTI)

Profile of Horticultural Crop Farm Industries in Californiaproject funded by the Federal Crop Insurance Corporation,Williams. “Model- ing Farm-Level Crop Insurance Demand with

Lee, Hyunok; Blank, Steven C.

2004-01-01T23:59:59.000Z

218

" Row: Selected SIC Codes; Column: Energy Sources and Shipments;"  

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

1. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" 1. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources and Shipments;" " Unit: Physical Units or Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," "," ",," "," ",," "," ","Coke and"," ","Shipments"," " " "," ",,"Net","Residual","Distillate","Natural Gas(e)","LPG and","Coal","Breeze"," ","of Energy Sources","RSE"

219

Outline of a qualitative analysis for the human motion in case of ergometer rowing  

Science Conference Proceedings (OSTI)

Today, there are numerous methods of quantitative analysis of the human movement. Basic quality of these methods is the high degree of accuracy and reliability of the obtained data. According to systematic approach human movement is qualified as a complex ... Keywords: fuzzification, human motion, qualitative analysis, quantitative analysis, rowing

Ante Panjkota; Ivo Stan?ic; Tamara Šupuk

2009-09-01T23:59:59.000Z

220

The removal and segmentation of the Yankee Rowe reactor vessel internals  

Science Conference Proceedings (OSTI)

A major element of the reactor decommissioning of the Rowe Yankee reactor was the segmentation and packaging of the reactor internals. PCI Energy Services, specializing in remote cutting, machining, and welding, performed this work under contract to Yankee Atomic Electric Company. Removal techniques are described.

Child, C.; McGough, M.; Smith, G. [Power Cutting Inc., Lake Bluff, IL (United States)

1995-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

Qualification of In-Service Examination of the Yankee Rowe Reactor Pressure Vessel  

Science Conference Proceedings (OSTI)

An effective in-service examination of the reactor pressure vessel was an essential part of the restart program for the Yankee Atomic Power Company plant in Rowe, Massachusetts. This report describes development of an effective examination strategy, demonstration of performance of the examination procedures, and development of data on the distribution of flaws in reactor pressure vessels.

1993-01-01T23:59:59.000Z

222

Numerical Analysis of a Multi-Row Multi-Column Compact Heat Exchanger  

E-Print Network (OSTI)

Numerical Analysis of a Multi-Row Multi-Column Compact Heat Exchanger Ashkan Motamedi1, Arturo of a compact heat exchanger to analyze the interaction between the fluid and its geometry. The overall as the inner-tube fluid. Two heat exchanger configurations, in which the tube arrangement is either in

Pacheco, Jose Rafael

223

ROW 2.0 - Right-of-Way Environmental Stewardship Bibliographic Database, Version 2.0  

Science Conference Proceedings (OSTI)

The Right-of-Way Environmental Stewardship Bibliographic Database Version 2.0 (ROW 2.0) allows users to search in multiple ways for citations and retrieve summaries of published documents that focus on environmental concerns related to utility corridor design, siting, construction, or management.

2007-03-08T23:59:59.000Z

224

Shelley J. Row, P.E., PTOE Director, ITS Joint Program Office  

E-Print Network (OSTI)

Shelley J. Row, P.E., PTOE Director, ITS Joint Program Office Research and Innovative Technology of Transportation's Intelligent Transportation Systems (ITS) Joint Program Office (JPO), a position she has held 1996, Shelley joined the ITS Joint Program Office as the ITS Travel Management Coordinator and later

Minnesota, University of

225

Greenhouse gas budgets of crop production current  

E-Print Network (OSTI)

Greenhouse gas budgets of crop production ­ current and likely future trends Helen C. Flynn and Pete Smith #12;Greenhouse gas budgets of crop production ­ current and likely future trends Helen C or boundaries. #12;3Greenhouse gas budgets of crop production ­ current and likely future trends About

Levi, Ran

226

Energy analysis of selected crops in Thailand  

SciTech Connect

Energy analyses were made for the production of rice, corn and sugarcane crops in Thailand. All on-farm production activities from land preparation to harvesting were included. Energy inputs and yields for all crops were low. The energy returns for all three crops vary from 8 to 9 kilocalories for every kilocalorie put in.

Singh, G.; de Los Reyes, A.A.

1983-12-01T23:59:59.000Z

227

Accurate correlation consistent basis sets for molecular core-valence correlation effects: The second row atoms Al-Ar and the first row atoms B-Ne revisited  

Science Conference Proceedings (OSTI)

Correlation consistent basis sets for accurately describing core-core and core-valence correlation effects in atoms and molecules have been developed for the second row atoms Al - Ar. Two different optimization strategies were investigated, which led to two families of core-valence basis sets when the optimized functions were added to the standard correlation consistent basis sets (cc-pVnZ). In the first case, the exponents of the augmenting primitive Gaussian functions were optimized with respect to the difference between all-electron and valence-electron correlated calculations, i.e., for the core-core plus core-valence correlation energy. This yielded the cc-pCVnZ family of basis sets, which are analogous to the sets developed previously for the first row atoms[D.E. Woon and T.H. Dunning, Jr., J. Chem. Phys. 103, 4572 (1995)]. Although the cc-pCVnZ sets exhibit systematic convergence to the all-electron correlation energy at the complete basis set limit, the intershell (core-valence ) correlation energy converges more slowly than the intrashell (core-core) correlation energy. Since the effect of including the core electrons on the calculation of molecular properties tends to be dominated by core-valence correlation effects, a second scheme for determining the augmenting functions was investigated. In this approach, the exponents of the functions to be added to the cc-pVnZ sets were optimized with respect to just the core-valence (intershell) correlation energy, except that a small amount of core-core correlation energy was included in order to ensure systematic convergence to the complete basis set limit. These new sets, denoted weighted core-valence basis sets (cc-pwCVnZ), significantly improve the convergence of many molecular properties with n. Optimum cc-pwCVnZ sets for the first-row atoms were also developed and show similar advantages.

Peterson, Kirk A. (WASHINGTON STATE UNIV TC); Dunning, Thom H. (BATTELLE (PACIFIC NW LAB))

2002-12-15T23:59:59.000Z

228

Book Review: Thieves of Book Row: New York's Most Notorious Rare Book Ring and the Man Who Stopped It by Travis McDade  

E-Print Network (OSTI)

Thieves of Book Row: New York'sMost Notorious Rare Book Ring and the Man Who Stopped It bypp. ISBN 0199922667. In Thieves of Book Row: New York’s Most

Montoya, Robert D.

2013-01-01T23:59:59.000Z

229

Microsoft Word - CX-Rattlesnake-Garrison_ROW_Marking_06June2013  

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

6, 2013 6, 2013 REPLY TO ATTN OF: KEC-4 SUBJECT: Environmental Clearance Memorandum P. Hastings Project Manager - TERM-TPP-4 Proposed Action: Rattlesnake-Garrison Right-of-Way Marking Project Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B1.3 Routine Maintenance Location: Missoula County, Montana Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA proposes to survey and mark the Rattlesnake- Garrison transmission line right-of-way (ROW) boundary in Missoula County, Montana. The installation of signs to mark BPA's ROW would prevent encroachment from homeowners and developers, ensure the safety of nearby residents, and allow for the continued safe maintenance and operation of BPA's transmission lines.

230

A Parallel Row-Based Algorithm For Standard Cell Placement With Integrated Error Control  

E-Print Network (OSTI)

A new row-based parallel algorithm for standard-cell placement targeted for execution on a hypercube multiprocessor is presented. Key features of this implementation include a dynamic simulated-annealing schedule, row-partitioning of the VLSI chip image, and two novel approaches to control error in parallel cellplacement algorithms: (1) Heuristic Cell-Coloring; (2) Adaptive Sequence Length Control. 1. INTRODUCTION Simulated annealing is a general-purpose optimization method that has been successfully applied to solve a large variety of combinatorial optimization problems including many in VLSI design. Annealing is computationally very expensive, hence efforts to improve execution time has proceeded along two fronts: (1) accelerating the annealing schedule, and (2) parallelizing the annealing algorithm for execution on multiprocessors. Parallel implementations of annealing as applied to the cell placement application either attempt multiple cell moves in parallel [1-7], or distribute ...

Jeff S. Sargent; Prith Banerjee

1989-01-01T23:59:59.000Z

231

The Conservation Reserve Program as a Means to Subsidize Bioenergy Crop Prices  

DOE Green Energy (OSTI)

The Conservation Reserve Program (CRP), enacted in the 1985 Farm Bill, removes environmentally sensitive cropland from production in exchange for annual rental payments from the federal government. To reduce the cost of the program, economic use of CRP acres in exchange for reduced rental payments were proposed, but not implemented in the 1995 Farm Bill. This paper examines the potential impact an economic use policy would have on the market prices of bioenergy crops if they were permitted to be harvested from CRP acres. The analysis shows that at average yields of 11.25 dry Mg/ha/yr (5 dry tons/ac/yr) and total production of 9.1 million dry Mg (10 million dry tons) subsidized farmgate prices of as low as $16.5/dry Mg ($15/dry ton) for switchgrass and $24.2/dry Mg ($22/dry ton) for short-rotation woody crops can be achieved. Furthermore, the government can reduce the cost of the CRP resulting in a potential win-win situation.

Walsh, M.E.; Becker, D.; Graham, R.L.

1996-09-15T23:59:59.000Z

232

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2006;" 6 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

233

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

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

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006;" 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS"," ","Energy",,"Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Source(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)"

234

Safety Functions and Other Features of Remotely Operated Weapon Systems (ROWS)  

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

DOE-STD-1047-2008 DOE-STD-1047-2008 August 2008 DOE STANDARD Safety Functions and Other Features of Remotely Operated Weapon Systems (ROWS) U.S. Department of Energy AREA SAFT Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. NOT MEASUREMENT SENSITIVE DOE-STD-1047-2008 TABLE OF CONTENTS FOREWORD ....................................................................................................................... i 1. SCOPE AND PURPOSE .........................................................................................1 2. APPLICABILITY ....................................................................................................1 3. NORMATIVE REFERENCES................................................................................2

235

" Level: National Data;" " Row: NAICS Codes;"  

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

11 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006;" 11 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"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)"

236

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2010;" 5 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

237

" Level: National Data;" " Row: NAICS Codes;"  

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

7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; " 7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; " " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Electricity Receipts(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Natural","Distillate","Residual",,,"and" "Code(a)","Subsector and Industry","Receipts(d)","Switchable","Switchable","Gas","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(e)"," "

238

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2010;" 6 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

239

" Level: National Data;" " Row: NAICS Codes;"  

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

2 Reasons that Made Coal Unswitchable, 2006;" 2 Reasons that Made Coal Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million short tons." ,,,,"Reasons that Made Coal Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable ",,"Long-Term","Unavailable",,"Combinations of " "NAICS"," ","Coal Consumed ","Unswitchable","Capable of Using","Adversely Affects ","Alternative","Environmental","Contract ","Storage for ","Another","Columns F, G, "

240

Qualification of in-service examination of the Yankee Rowe reactor pressure vessel  

SciTech Connect

Technical support was provided to assist the Yankee Atomic Electric Company with their restart effort for the Yankee plant in Rowe, Massachusetts. Demonstration of adequate margin during a postulated pressurized thermal shock accident was an important part of the justification for restarting the plant, and effective inservice examination of the critical inner surface of the vessel in the beltline region was a key objective and a significant component of the safety analysis. This report discussed this inservice inspection.

Ammirato, F.; Kietzman, K.; Becker, L.; Ashwin, P.; Selby, G.; Krzywosz, K.; Findlan, S. (Electric Power Research Inst., Charlotte, NC (United States). Nondestructive Evaluation Center); Lance, J. (Yankee Atomic Electric Co., Bolton, MA (United States))

1992-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2006;" 5 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

242

File:Guidelines-for-leasing-row-tracts.pdf | Open Energy Information  

Open Energy Info (EERE)

Guidelines-for-leasing-row-tracts.pdf Guidelines-for-leasing-row-tracts.pdf Jump to: navigation, search File File history File usage Metadata File:Guidelines-for-leasing-row-tracts.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 23 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:06, 13 June 2013 Thumbnail for version as of 15:06, 13 June 2013 1,275 × 1,650, 2 pages (23 KB) Apalazzo (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file.

243

File:03AKBRightOfWaysROWs.pdf | Open Energy Information  

Open Energy Info (EERE)

AKBRightOfWaysROWs.pdf AKBRightOfWaysROWs.pdf Jump to: navigation, search File File history File usage Metadata File:03AKBRightOfWaysROWs.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 38 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:00, 3 July 2013 Thumbnail for version as of 12:00, 3 July 2013 1,275 × 1,650 (38 KB) Alevine (Talk | contribs) 09:55, 18 October 2012 Thumbnail for version as of 09:55, 18 October 2012 1,275 × 1,650 (53 KB) Jnorris (Talk | contribs) 10:36, 6 August 2012 Thumbnail for version as of 10:36, 6 August 2012 1,275 × 1,650 (34 KB) Jnorris (Talk | contribs)

244

File:03CAAStateLandLeasingProcessAndLandAccessROWs.pdf | Open Energy  

Open Energy Info (EERE)

CAAStateLandLeasingProcessAndLandAccessROWs.pdf CAAStateLandLeasingProcessAndLandAccessROWs.pdf Jump to: navigation, search File File history File usage File:03CAAStateLandLeasingProcessAndLandAccessROWs.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 75 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 16:03, 29 November 2012 Thumbnail for version as of 16:03, 29 November 2012 1,275 × 1,650 (75 KB) Jnorris (Talk | contribs) 12:06, 12 September 2012 Thumbnail for version as of 12:06, 12 September 2012 1,275 × 1,650 (82 KB) Djenne (Talk | contribs) 15:45, 26 June 2012 Thumbnail for version as of 15:45, 26 June 2012 1,275 × 1,650 (75 KB) Jnorris (Talk | contribs) June 26th version

245

File:App Misc Easement ROW.pdf | Open Energy Information  

Open Energy Info (EERE)

App Misc Easement ROW.pdf App Misc Easement ROW.pdf Jump to: navigation, search File File history File usage Metadata File:App Misc Easement ROW.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 3 4 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 1.54 MB, MIME type: application/pdf, 4 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 09:36, 20 June 2013 Thumbnail for version as of 09:36, 20 June 2013 1,275 × 1,650, 4 pages (1.54 MB) Apalazzo (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file.

246

File:03HIEConstructionUponAStateHighwayROW.pdf | Open Energy Information  

Open Energy Info (EERE)

HIEConstructionUponAStateHighwayROW.pdf HIEConstructionUponAStateHighwayROW.pdf Jump to: navigation, search File File history File usage File:03HIEConstructionUponAStateHighwayROW.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 42 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 13:02, 23 October 2012 Thumbnail for version as of 13:02, 23 October 2012 1,275 × 1,650 (42 KB) Dklein2012 (Talk | contribs) 14:00, 24 July 2012 Thumbnail for version as of 14:00, 24 July 2012 1,275 × 1,650 (35 KB) Alevine (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup

247

DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree  

SciTech Connect

Itemset mining has recently focused on discovery of frequent itemsets from high-dimensional datasets with relatively few rows and a larger number of items. With exponentially in-creasing running time as average row length increases, mining such datasets renders most conventional algorithms impracti-cal. Unfortunately, large cardinality closed itemsets are likely to be more informative than small cardinality closed itemsets in this type of dataset. This paper proposes an approach, called DisClose, to extract large cardinality (colossal) closed itemsets from high-dimensional datasets. The approach relies on a memory-efficient Compact Row-Tree data structure to represent itemsets during the search process. The search strategy explores the transposed representation of the dataset. Large cardinality itemsets are enumerated first followed by smaller ones. In addition, we utilize a minimum cardinality threshold to further reduce the search space. Experimental result shows that DisClose can complete the extraction of colossal closed itemsets in the considered dataset, even for low support thresholds. The algorithm immediately discovers closed itemsets without needing to check if each new closed itemset has previously been found.

Zulkurnain, Nurul F.; Keane, John A.; Haglin, David J.

2013-02-01T23:59:59.000Z

248

Cassava, a potential biofuel crop in China  

E-Print Network (OSTI)

18-673389 Keywords: cassava; bioethanol; biofuel; metabolicRecently, cassava-derived bioethanol production has beenbenefits compared to other bioethanol- producing crops in

Jansson, C.

2010-01-01T23:59:59.000Z

249

Cassava, a potential biofuel crop in China  

E-Print Network (OSTI)

Cassava, a potential biofuel crop in China Christer Janssoncassava; bioethanol; biofuel; metabolic engineering; Chinathe potentials of cassava in the biofuel sector and point to

Jansson, C.

2010-01-01T23:59:59.000Z

250

CropEnergies | Open Energy Information  

Open Energy Info (EERE)

search Name CropEnergies Place Mannheim, Saxony-Anhalt, Germany Zip 68165 Sector Biofuels Product A German biofuels company focused on bioethanol production for use as...

251

Seasonality and Its Effects on Crop Markets  

E-Print Network (OSTI)

Understanding crop seasonality can improve a producer's marketing skills and options. The causes of seasonality and its effects on price changes are discussed.

Tierney Jr., William I.; Waller, Mark L.; Amosson, Stephen H.

1999-07-12T23:59:59.000Z

252

UCAC3 PROPER MOTION SURVEY. I. DISCOVERY OF NEW PROPER MOTION STARS IN UCAC3 WITH 0.''40 yr{sup -1} > {mu} {>=} 0.''18 yr{sup -1} BETWEEN DECLINATIONS -90{sup 0} AND -47{sup 0}  

Science Conference Proceedings (OSTI)

This paper presents 442 new proper motion stellar systems in the southern sky between declinations -90{sup 0} and -47{sup 0} with 0.''40 yr{sup -1} > {mu} {>=} 0.''18 yr{sup -1}. These systems constitute a 25.3% increase in new systems for the same region of the sky covered by previous SuperCOSMOS RECONS (SCR) searches that used Schmidt plates as the primary source of discovery. Among the new systems are 25 multiples, plus an additional 7 new common proper motion (CPM) companions to previously known primaries. All stars have been discovered using the third U.S. Naval Observatory (USNO) CCD Astrograph Catalog (UCAC3). A comparison of the UCAC3 proper motions to those from the Hipparcos, Tycho-2, Southern Proper Motion (SPM4), and SuperCOSMOS efforts is presented and shows that UCAC3 provides similar values and precision to the first three surveys. The comparison between UCAC3 and SuperCOSMOS indicates that proper motions in R.A. are systematically shifted in the SuperCOSMOS data but are consistent in decl. data, while overall showing a significantly higher scatter. Distance estimates are derived for stars having SuperCOSMOS Sky Survey B{sub J} , R{sub 59F}, and I{sub IVN} plate magnitudes and Two-Micron All Sky Survey infrared photometry. We find 15 systems estimated to be within 25 pc, including UPM 1710-5300 our closest new discovery estimated at 13.5 pc. Such new discoveries suggest that more nearby stars are yet to be found in these slower proper motion regimes, indicating that more work is needed to develop a complete map of the solar neighborhood.

Finch, Charlie T.; Zacharias, Norbert [U.S. Naval Observatory, Washington, DC 20392-5420 (United States); Henry, Todd J., E-mail: finch@usno.navy.mi [Department of Physics and Astronomy, Georgia State University, Atlanta, GA 30302-4106 (United States)

2010-09-15T23:59:59.000Z

253

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

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," ",,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel Firing",,," ",," " " "," ",,,,,,,,,,,,,,,,,"RSE" "NAICS"," ",,,,,,,,,,,,,,,,,"Row"

254

Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching  

DOE Green Energy (OSTI)

A stabilization and propulsion system comprising a series of loop-coils arranged in parallel rows wherein two rows form a magnetic rail. Levitation and lateral stability is provided when the induced field in the magnetic rails interacts with the superconducting magnets (SCM) mounted on the magnetic levitation vehicle. A multiphase propulsion system interconnects specific coils in a given magnetic rail and interacts with the SCM to produce a propulsion force to the vehicle.

He, J.; Rote, D.M.

1994-12-31T23:59:59.000Z

255

Short rotation Wood Crops Program  

DOE Green Energy (OSTI)

This report synthesizes the technical progress of research projects in the Short Rotation Woody Crops Program for the year ending September 30, 1989. The primary goal of this research program, sponsored by the US Department of Energy's Biofuels and Municipal Waste Technology Division, is the development of a viable technology for producing renewable feedstocks for conversion to biofuels. One of the more significant accomplishments was the documentation that short-rotation woody crops total delivered costs could be $40/Mg or less under optimistic but attainable conditions. By taking advantage of federal subsidies such as those offered under the Conservation Reserve Program, wood energy feedstock costs could be lower. Genetic improvement studies are broadening species performance within geographic regions and under less-than-optimum site conditions. Advances in physiological research are identifying key characteristics of species productivity and response to nutrient applications. Recent developments utilizing biotechnology have achieved success in cell and tissue culture, somaclonal variation, and gene-insertion studies. Productivity gains have been realized with advanced cultural studies of spacing, coppice, and mixed-species trials. 8 figs., 20 tabs.

Wright, L.L.; Ehrenshaft, A.R.

1990-08-01T23:59:59.000Z

256

Effects of the 18.6-yr Modulation of Tidal Mixing on the North Pacific Bidecadal Climate Variability in a Coupled Climate Model  

Science Conference Proceedings (OSTI)

Diapycnal mixing induced by tide–topography interaction, one of the essential factors maintaining the global ocean circulation and hence the global climate, is modulated by the 18.6-yr period oscillation of the lunar orbital inclination, and has ...

Yuki Tanaka; Ichiro Yasuda; Hiroyasu Hasumi; Hiroaki Tatebe; Satoshi Osafune

2012-11-01T23:59:59.000Z

257

Convective–Stratiform Precipitation Variability at Seasonal Scale from 8 Yr of TRMM Observations: Implications for Multiple Modes of Diurnal Variability  

Science Conference Proceedings (OSTI)

This study investigates the variability of convective and stratiform rainfall from 8 yr (1998–2005) of Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) and TRMM Microwave Imager (TMI) measurements, focusing on seasonal diurnal ...

Song Yang; Eric A. Smith

2008-08-01T23:59:59.000Z

258

A 6-Yr Climatology of Vertical Mean and Shear Components of Kinetic Energy for the Australian–South Pacific Jet Stream  

Science Conference Proceedings (OSTI)

The climatology of the kinetic energy associated with the subtropical jet over the Australian–South Pacific region is investigated for a 6-yr period, January 1985–December 1990, using monthly mean data. The total kinetic energy (TKE) is ...

Matthew D. Eastin; Dayton G. Vincent

1998-02-01T23:59:59.000Z

259

Growing Energy Biomass crops as a  

E-Print Network (OSTI)

to provide our heat, electricity and liquid transport fuels. It is widely agreed that wind, wave, tidal carbon emissions set by the Kyoto Protocol are to be met. Biomass from crop plants can make an important of research activities aimed at the sustainable production of biomass from energy crops for heat and power

Rambaut, Andrew

260

Short Rotation Crops in the United States  

DOE Green Energy (OSTI)

responders anticipated that energy will comprise 25% or less of the utilization of single-stem short-rotation woody crops between now and 2010. The only exception was a response from California where a substantial biomass energy market does currently exist. Willows (Salix species) are only being developed for energy and only in one part of the United States at present. Responses from herbaceous crop researchers suggested frustration that markets (including biomass energy markets) do not currently exist for the crop, and it was the perception of many that federal incentives will be needed to create such markets. In all crops, responses indicate that a wide variety of research and development activities are needed to enhance the yields and profitability of the crops. Ongoing research activities funded by the U.S. Department of Energy?s Bioenergy Feedstock Development Program are described in an appendix to the paper.

Wright, L.L.

1998-06-04T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

Rust disease continues to threaten California garlic crop  

E-Print Network (OSTI)

threaten California garlic crop Steven T. Koike u Richard F.severely damaged the garlic crop in Califor- nia. Thestudy, it infected allium crops such as gar- lic, onion and

Koike, Steven T.; Smith, Richard; Davis, R. Michael; Nunez, J. Joe; Voss, Ron E.

2001-01-01T23:59:59.000Z

262

New crop coefficients developed for high-yield processing tomatoes  

E-Print Network (OSTI)

after planting Fig. 2. Daily crop coefficients with daysFor all years, seasonal crop ETc ranged from 20.8 to 29.64. Relationship between average crop coefficient and canopy

Hanson, Blaine R.; May, Donald M.

2006-01-01T23:59:59.000Z

263

When crop transgenes wander in California, should we worry?  

E-Print Network (OSTI)

modi?ed herbicide- tolerant crops. J Applied Ecol 40:2–16.No 421. Gressel J. 2005. Crop Ferality and Volunteerism.Can genetically engineered crops become weeds? Biotechnology

Ellstrand, Norman C.

2006-01-01T23:59:59.000Z

264

Weather-based yield forecasts developed for 12 California crops  

E-Print Network (OSTI)

precipitation on California crop yields. Climatic Change. InG. 1999. Understanding crop statis- tics. www.usda.gov/nass/developed for 12 California crops by David B. Lobell,

Lobell, David; Cahill, Kimberly Nicholas; Field, Christopher

2006-01-01T23:59:59.000Z

265

Pharmaceutical crops have a mixed outlook in California  

E-Print Network (OSTI)

8:18–25. Ellstrand NC. 2006. When crop transgenes wander inM, Van Acker R. 2005. Can crop transgenes be kept on aEconomics of Pharmaceuti- cal Crops: Potential Bene?ts and

Marvier, Michelle

2007-01-01T23:59:59.000Z

266

Buffers between grazing sheep and leafy crops augment food safety  

E-Print Network (OSTI)

sheep and the edge of a food crop was adequate to preventgrazing sheep and leafy crops augment food safety Thedomestic animals and the crop edge is adequate to minimize

Hoar, Bruce R; Atwill, Edward R; Carlton, Lesa; Celis, Jorge; Carabez, Jennifer; Nguyen, Tran

2013-01-01T23:59:59.000Z

267

An Approach to Crop-Hail Insurance Rate Revision  

Science Conference Proceedings (OSTI)

Hailstorms are meteorological events that have a considerably adverse impact on crop production. Variation of these events in time and space, in turn, influence crop-hail insurance rate structure. Crop-hail insurance companies normally review ...

J. C. Neill

1981-12-01T23:59:59.000Z

268

Water use of tall and dwarf crop plants  

E-Print Network (OSTI)

height in a spring wheat. Crop Science 34(No. 6); \\ i i *O F T A L L AND D W A R F CROP PLANTS By J . Giles Wainesbetween water application, crop yields, and management

Waines, J. Giles; Ehdaie, Bahman

1994-01-01T23:59:59.000Z

269

Interdisciplinary Pest Management Potentials of Cover Cropping Systems  

E-Print Network (OSTI)

and D. R. Linden. 2004. Crop and soil productivity responseresistance in cowpea. Crop Science 40:611-618. Enache A. J.McGiffen. 2000. Cowpea cover crop mulch for weed control in

Bachie, Oli Gurmu

2011-01-01T23:59:59.000Z

270

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006;" 3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Fuel Oil","Coal","Breeze","Other(f)"

271

" 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

272

Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;  

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

Table 7.1 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Furnace Coke Oven (excluding or LPG and Natural Gas

273

Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;  

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

Next MECS will be conducted in 2010 Table 7.2 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Furnace

274

" Row: General Energy-Management Activities within NAICS Codes;"  

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

1 Number of Establishments by Participation in General Energy-Management Activities, 2006;" 1 Number of Establishments by Participation in General Energy-Management Activities, 2006;" " Level: National Data; " " Row: General Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Assistance;" " Unit: Establishment Counts." ,,,," Source of Assistance" "NAICS Code(a)","Energy-Management Activity","No Participation","Participation(b)","In-house","Utlity/Energy Suppler","Product/Service Provider","Federal Program","State/Local Program","Don't Know" ,,"Total United States"

275

" Level: National Data;" " Row: NAICS Codes;"  

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

5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006;" 5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Residual Fuel Oil(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)"

276

" Level: National Data;" " Row: NAICS Codes;"  

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

4 Reasons that Made Distillate Fuel Oil Unswitchable, 2006;" 4 Reasons that Made Distillate Fuel Oil Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million barrels." ,,,,"Reasons that Made Distillate Fuel Oil Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable ",,"Long-Term","Unavailable",,"Combinations of " "NAICS"," ","Distillate Fuel Oil","Unswitchable Distillate","Capable of Using","Adversely Affects ","Alternative","Environmental","Contract ","Storage for ","Another","Columns F, G, "

277

" Level: National Data;" " Row: NAICS Codes;"  

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

3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006;" 3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Natural Gas(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Distillate","Residual",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Fuel Oil","Fuel Oil","Coal","LPG","Breeze","Other(f)"

278

" Level: National Data;" " Row: NAICS Codes;"  

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

9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006;" 9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Residual",,,"and" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel Oil","Coal","LPG","Breeze","Other(f)"

279

Observations and comments on the turbine failure at Yankee Atomic Electric Company, Rowe, Massachusetts  

Science Conference Proceedings (OSTI)

A preliminary analysis is presented of the catastrophic disc failure in the low-pressure turbine at the Yankee Rowe nuclear reactor plant. The analysis is based on on-site inspection and documentation of fractured components. Heavily oxidized thumbnail cracks were observed on fractured surfaces of the first-stage generator-end disc, indicating stress corrosion cracking as the precursor to the catastrophic failure of this disc. No evidence of such cracks was seen on the corresponding fractured governor-end disc. We propose a number of alternative possible causes for the failures and for the differences observed between the two discs.

Goldberg, A.; Streit, R.D.

1980-11-15T23:59:59.000Z

280

Data Sharing Report Characterization of Isotope Row Facilities Oak Ridge National Laboratory Oak Ridge TN  

SciTech Connect

The U.S. Department of Energy (DOE) Oak Ridge Office of Environmental Management (EM-OR) requested that Oak Ridge Associated Universities (ORAU), working under the Oak Ridge Institute for Science and Education (ORISE) contract, provide technical and independent waste management planning support using funds provided by the American Recovery and Reinvestment Act (ARRA). Specifically, DOE EM-OR requested ORAU to plan and implement a survey approach, focused on characterizing the Isotope Row Facilities located at the Oak Ridge National Laboratory (ORNL) for future determination of an appropriate disposition pathway for building debris and systems, should the buildings be demolished. The characterization effort was designed to identify and quantify radiological and chemical contamination associated with building structures and process systems. The Isotope Row Facilities discussed in this report include Bldgs. 3030, 3031, 3032, 3033, 3033A, 3034, 3036, 3093, and 3118, and are located in the northeast quadrant of the main ORNL campus area, between Hillside and Central Avenues. Construction of the isotope production facilities was initiated in the late 1940s, with the exception of Bldgs. 3033A and 3118, which were enclosed in the early 1960s. The Isotope Row facilities were intended for the purpose of light industrial use for the processing, assemblage, and storage of radionuclides used for a variety of applications (ORNL 1952 and ORAU 2013). The Isotope Row Facilities provided laboratory and support services as part of the Isotopes Production and Distribution Program until 1989 when DOE mandated their shutdown (ORNL 1990). These facilities performed diverse research and developmental experiments in support of isotopes production. As a result of the many years of operations, various projects, and final cessation of operations, production was followed by inclusion into the surveillance and maintenance (S&M) project for eventual decontamination and decommissioning (D&D). The process for D&D and final dismantlement of facilities requires that the known contaminants of concern (COCs) be evaluated and quantified and to identify and quantify any additional contaminants in order to satisfy the waste acceptance criteria requirements for the desired disposal pathway. Known facility contaminants include, but are not limited to, asbestos-containing material (ACM), radiological contaminants, and chemical contaminants including polychlorinated biphenyls (PCBs) and metals.

Weaver, Phyllis C

2013-12-12T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

Short-term dynamics of soil carbon, microbial biomass, and soil enzyme activities as compared to longer-term effects of tillage in irrigated row crops  

E-Print Network (OSTI)

of soil microbial biomass and activity in conventional andPaul EA (1994) Microbial biomass. In: Weaver RW, Angle S,Owens LB (1988) Soil microbial biomass and organic component

Geisseler, Daniel; Horwath, William R.

2009-01-01T23:59:59.000Z

282

Short Rotation Crops in the United States  

SciTech Connect

The report is based primarily on the results of survey questions sent to approximately 60 woody and 20 herbaceous crop researchers in the United States and on information from the U.S. Department of Energy?s Bioenergy Feedstock Development Program. Responses were received from 13 individuals involved in woody crops research or industrial commercialization (with 5 of the responses coming from industry). Responses were received from 11 individuals involved in herbaceous crop research. Opinions on market incentives, technical and non-technical barriers, and highest priority research and development areas are summarized in the text. Details on research activities of the survey responders are provided as appendices to the paper. Woody crops grown as single-stem systems (primarily Populus and Eucalyptus species) are perceived to have strong pulp fiber and oriented strand board markets, and the survey responders anticipated that energy will comprise 25% or less of the utilization of single-stem short-rotation woody crops between now and 2010. The only exception was a response from California where a substantial biomass energy market does currently exist. Willows (Salix species) are only being developed for energy and only in one part of the United States at present. Responses from herbaceous crop researchers suggested frustration that markets (including biomass energy markets) do not currently exist for the crop, and it was the perception of many that federal incentives will be needed to create such markets. In all crops, responses indicate that a wide variety of research and development activities are needed to enhance the yields and profitability of the crops. Ongoing research activities funded by the U.S. Department of Energy?s Bioenergy Feedstock Development Program are described in an appendix to the paper.

Wright, L.L.

1998-06-04T23:59:59.000Z

283

Pressurized thermal shock probabilistic fracture mechanics sensitivity analysis for Yankee Rowe reactor pressure vessel  

SciTech Connect

The Nuclear Regulatory Commission (NRC) requested Oak Ridge National Laboratory (ORNL) to perform a pressurized-thermal-shock (PTS) probabilistic fracture mechanics (PFM) sensitivity analysis for the Yankee Rowe reactor pressure vessel, for the fluences corresponding to the end of operating cycle 22, using a specific small-break-loss- of-coolant transient as the loading condition. Regions of the vessel with distinguishing features were to be treated individually -- upper axial weld, lower axial weld, circumferential weld, upper plate spot welds, upper plate regions between the spot welds, lower plate spot welds, and the lower plate regions between the spot welds. The fracture analysis methods used in the analysis of through-clad surface flaws were those contained in the established OCA-P computer code, which was developed during the Integrated Pressurized Thermal Shock (IPTS) Program. The NRC request specified that the OCA-P code be enhanced for this study to also calculate the conditional probabilities of failure for subclad flaws and embedded flaws. The results of this sensitivity analysis provide the NRC with (1) data that could be used to assess the relative influence of a number of key input parameters in the Yankee Rowe PTS analysis and (2) data that can be used for readily determining the probability of vessel failure once a more accurate indication of vessel embrittlement becomes available. This report is designated as HSST report No. 117.

Dickson, T.L.; Cheverton, R.D.; Bryson, J.W.; Bass, B.R.; Shum, D.K.M.; Keeney, J.A. [Oak Ridge National Lab., TN (United States)

1993-08-01T23:59:59.000Z

284

PETRO: Higher Productivity Crops for Biofuels  

Science Conference Proceedings (OSTI)

PETRO Project: The 10 projects that comprise ARPA-E’s PETRO Project, short for “Plants Engineered to Replace Oil,” aim to develop non-food crops that directly produce transportation fuel. These crops can help supply the transportation sector with agriculturally derived fuels that are cost-competitive with petroleum and do not affect U.S. food supply. PETRO aims to redirect the processes for energy and carbon dioxide (CO2) capture in plants toward fuel production. This would create dedicated energy crops that serve as a domestic alternative to petroleum-based fuels and deliver more energy per acre with less processing prior to the pump.

None

2012-01-01T23:59:59.000Z

285

Bioenergy: What`s in it for the grower? The cost of producing dedicated energy crops. Comparisons with conventional crops  

DOE Green Energy (OSTI)

Dedicated energy crops must be at least as profitable as conventional crops that could be grown on a given site before farmers will produce energy crops on that site. This report concentrates on the cost of producing dedicated energy crops and compare those costs to the profitability of conventional crops. This comparison allows one to estimate a breakeven price, that is, a price for which the profitability of dedicated energy crops is equivalent to the profitability of conventional crops. Switchgrass and hybrid poplar have been chosen as representative herbaceous and woody crop species for the estimation.

Walsh, M.

1994-12-31T23:59:59.000Z

286

GRR/Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW | Open  

Open Energy Info (EERE)

GRR/Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW GRR/Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-AK-g - Utility Permit to Construct on ADOT&PF ROW 03AKGUtilityPermitToConstructOnADOTROW (1).pdf Click to View Fullscreen Contact Agencies Alaska Department of Transportation and Public Facilities U S Army Corps of Engineers United States Coast Guard Bureau of Indian Affairs Bureau of Land Management Federal Aviation Administration Alaska Department of Natural Resources Regulations & Policies 11 AAC 195.010: Anadromous Fish 17 AAC 15.021: Application for Utility Permit Triggers None specified Click "Edit With Form" above to add content 03AKGUtilityPermitToConstructOnADOTROW (1).pdf

287

Bioeconomy Crop Initiative (Prince Edward Island)  

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

The Bioeconomy Crop Initiative is being offered by the P.E.I. Department of Agriculture through the Agricultural Flexibility Fund, a cost-sharing agreement between the Government of Canada and the...

288

Cassava, a potential biofuel crop in China  

E-Print Network (OSTI)

as a biomass for biofuel production and some of its economiceconomic viability of biofuel production is the efficiencybiofuel; metabolic engineering; China Abstract Cassava is ranking as fifth among crops in global starch production.

Jansson, C.

2010-01-01T23:59:59.000Z

289

Optimizing Crop Insurance under Climate Variability  

Science Conference Proceedings (OSTI)

This paper studies the selection of optimal crop insurance under climate variability and fluctuating market prices. A model was designed to minimize farmers’ expected losses (including insurance costs) while using the conditional-value-at-risk ...

Juan Liu; Chunhua Men; Victor E. Cabrera; Stan Uryasev; Clyde W. Fraisse

2008-10-01T23:59:59.000Z

290

Conservation tillage and cover cropping influence soil properties in San Joaquin Valley cotton-tomato crop  

E-Print Network (OSTI)

2006 147 TREATMENTS CTCC: conservation tillage, covercrop CTNO: conservation tillage only STCC: standard tillage,1.24bc 1.35d * CTCC = conservation tillage, cover crop; CTNO

Veenstra, Jessica; Horwath, William; Mitchell, Jeffrey; Munk, Dan

2006-01-01T23:59:59.000Z

291

Risk in agriculture : a study of crop yield distributions and crop insurance  

E-Print Network (OSTI)

Agriculture is a business fraught with risk. Crop production depends on climatic, geographical, biological, political, and economic factors, which introduce risks that are quantifiable given the appropriate mathematical ...

Gayam, Narsi Reddy

2006-01-01T23:59:59.000Z

292

Crop-Hail Damage in the Midwest Corn Belt  

Science Conference Proceedings (OSTI)

Crop-hail damage in the ten Midwest corn belt states is examined during the period 1957–81. Estimates of crop losses due to hail are made from hail insurance data for each state and each significant crop in the region. The crop-hail losses are ...

Harry J. Hillaker Jr.; Paul J. Waite

1985-01-01T23:59:59.000Z

293

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

6 End Uses of Fuel Consumption, 2006; 6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487 32 345 -- Process Cooling and Refrigeration -- 206 * 1 32 * * -- Machine Drive

294

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

2 End Uses of Fuel Consumption, 2006; 2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel -- 41 133 23 2,119 8 547 -- Conventional Boiler Use -- 41 71 17 1,281 8 129 -- CHP and/or Cogeneration Process -- -- 62 6 838 1 417 -- Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487

295

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

296

Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios;  

Gasoline and Diesel Fuel Update (EIA)

Next MECS will be fielded in 2015 Table 6.1 Consumption Ratios of Fuel, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 871.7 4.3 1.8 3112 Grain and Oilseed Milling 6,239.5 10.5 3.6 311221 Wet Corn Milling 28,965.0 27.1 12.6 31131 Sugar Manufacturing 7,755.9 32.6 13.4 3114 Fruit and Vegetable Preserving and Specialty Foods 861.3 4.8 2.2 3115 Dairy Products 854.8 3.5 1.1 3116 Animal Slaughtering and Processing 442.9 3.5 1.2 312

297

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

7 End Uses of Fuel Consumption, 2006; 7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process 773,574 10 9 2,709 10 19 Process Heating

298

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

5 End Uses of Fuel Consumption, 2006; 5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use 12,109 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process

299

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

300

On undrained test using Rowe's relation and Incremental Modelling: Generalisation of the notion of Characteristic State  

E-Print Network (OSTI)

It is recalled that stress-strain incremental modelling is a common feature of most theoretical description of the mechanical behaviour of granular material. An other commonly accepted characteristics of the mechanical behaviour of granular material is the Rowe's relation which links the dilatancy K to the ratio B of vertical-to-lateral stress during a test at constant lateral stress, i.e. B =(1+M)(1+K). Using an incremental modelling, this law shall be interpreted as a pseudo-Poisson coefficient. We combine these two features to solve the problem of an axial compression under undrained condition. We demonstrate that the sample is submitted to a bifurcation of the transcritical type when it reaches the q=Mp line. This allows extending the notion of the characteristic state introduced by Luong to other situations and to anisotropic systems. We show also that these undrained tests are quite appropriate to study the characteristic-state behaviour.

P. Evesque

2005-06-14T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

Core design study of a supercritical light water reactor with double row fuel rods  

SciTech Connect

An equilibrium core for supercritical light water reactor has been designed. A novel type of fuel assembly with dual rows of fuel rods between water rods is chosen and optimized to get more uniform assembly power distributions. Stainless steel is used for fuel rod cladding and structural material. Honeycomb structure filled with thermal isolation is introduced to reduce the usage of stainless steel and to keep moderator temperature below the pseudo critical temperature. Water flow scheme with ascending coolant flow in inner regions is carried out to achieve high outlet temperature. In order to enhance coolant outlet temperature, the radial power distributions needs to be as flat as possible through operation cycle. Fuel loading pattern and control rod pattern are optimized to flatten power distribution at inner regions. Axial fuel enrichment is divided into three parts to control axial power peak, which affects maximum cladding surface temperature. (authors)

Zhao, C.; Wu, H.; Cao, L.; Zheng, Y. [School of Nuclear Science and Technology, Xi'an Jiaotong Univ., No. 28, Xianning West Road, Xi'an, ShannXi, 710049 (China); Yang, J.; Zhang, Y. [China Nuclear Power Technology Research Inst., Yitian Road, ShenZhen, GuangDong, 518026 (China)

2012-07-01T23:59:59.000Z

302

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

1 End Uses of Fuel Consumption, 2006; 1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use -- 12,109 11 3 1,245 2 6 -- CHP and/or Cogeneration Process

303

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

304

Novel ultrahigh resolution data acquisition and image reconstruction for multi-detector row CT  

Science Conference Proceedings (OSTI)

We present and evaluate a special ultrahigh resolution mode providing considerably enhanced spatial resolution both in the scan plane and in the z-axis direction for a routine medical multi-detector row computed tomography (CT) system. Data acquisition is performed by using a flying focal spot both in the scan plane and in the z-axis direction in combination with tantalum grids that are inserted in front of the multi-row detector to reduce the aperture of the detector elements both in-plane and in the z-axis direction. The dose utilization of the system for standard applications is not affected, since the grids are moved into place only when needed and are removed for standard scanning. By means of this technique, image slices with a nominal section width of 0.4 mm (measured full width at half maximum=0.45 mm) can be reconstructed in spiral mode on a CT system with a detector configuration of 32x0.6 mm. The measured 2% value of the in-plane modulation transfer function (MTF) is 20.4 lp/cm, the measured 2% value of the longitudinal (z axis) MTF is 21.5 lp/cm. In a resolution phantom with metal line pair test patterns, spatial resolution of 20 lp/cm can be demonstrated both in the scan plane and along the z axis. This corresponds to an object size of 0.25 mm that can be resolved. The new mode is intended for ultrahigh resolution bone imaging, in particular for wrists, joints, and inner ear studies, where a higher level of image noise due to the reduced aperture is an acceptable trade-off for the clinical benefit brought about by the improved spatial resolution.

Flohr, T. G.; Stierstorfer, K.; Suess, C.; Schmidt, B.; Primak, A. N.; McCollough, C. H. [Siemens Medical Solutions, Computed Tomography CTE PA Siemensstr. 1, 91301 Forchheim (Germany) and Department of Diagnostic Radiology, Eberhard-Karls-Universitaet Tuebingen (Germany); Siemens Medical Solutions, Computed Tomography CTE PA Siemensstr. 1, 91301 Forchheim (Germany); Mayo Clinic College of Medicine, Department of Radiology, Rochester, Minnesota (United States)

2007-05-15T23:59:59.000Z

305

Higher U.S. Crop Prices Trigger Little Area Expansion so Marginal Land for Biofuel Crops Is Limited  

SciTech Connect

By expanding energy biomass production on marginal lands that are not currently used for crops, food price increases and indirect climate change effects can be mitigated. Studies of the availability of marginal lands for dedicated bioenergy crops have focused on biophysical land traits, ignoring the human role in decisions to convert marginal land to bioenergy crops. Recent history offers insights about farmer willingness to put non-crop land into crop production. The 2006-09 leap in field crop prices and the attendant 64% gain in typical profitability led to only a 2% increase in crop planted area, mostly in the prairie states

Swinton, S.; Babcock, Bruce; James, Laura; Bandaru, Varaprasad

2011-06-12T23:59:59.000Z

306

Wednesday November 10, 4:01 AM Tokyo 3RD LD: Japan-EU row delays decision on nuke reactor  

E-Print Network (OSTI)

Wednesday November 10, 4:01 AM Tokyo 3RD LD: Japan-EU row delays decision on nuke reactor site (EDS the location to host a global nuclear fusion project during the latest round of talks in Vienna with four other ministry's nuclear fusion development office, told reporters that neither Japan nor the EU is in a mood

307

Comparative Advantage in Bangladesh Crop Production  

E-Print Network (OSTI)

This study uses data from 1996/97 through 1998/99 to examine the relative efficiency of production of crops in Bangladesh and their comparative advantage in international trade as measured by net economic profitability (the profitability using economic, rather than financial costs and prices), and the domestic resource cost ratio, (the amount of value of non-tradable domestic resources used in production divided by the value of tradable products). The economic profitability analysis demonstrates that Bangladesh has a comparative advantage in domestic production of rice for import substitution. However, at the export parity price, economic profitability of rice is generally less than economic profitability of many non-rice crops, implying that Bangladesh has more profitable options other than production for rice export. Several non-cereal crops, including vegetables, potatoes and onions have financial and economic returns that are as high as or higher than those of High Yielding Variety (HYV) rice. The relatively minor role in cropping systems of these crops despite their higher returns, can largely be attributed to high price risks associated with marketing, suggesting the need for further development of agro-processing industries, rural infrastructure, and marketing networks. iii TABLE OF CONTENTS 1.

Quazi Shahabuddin; Paul Dorosh; Ashok Gulati; K. M. Rahman; M. K. Mujeri

2002-01-01T23:59:59.000Z

308

The Potential for Pennsylvania Crops as Biofuels Higher energy costs over the past few years have created opportunities for the use of crops and crop residues  

E-Print Network (OSTI)

The Potential for Pennsylvania Crops as Biofuels Higher energy costs over the past few years have Potential for Pennsylvania Crops as Biofuels 2 Soybeans Soybean acreage is on the increase in Pennsylvania For more information about using Pennsylvania crops as biofuels, contact: GREG ROTH PROFESSOR OF AGRONOMY

Lee, Dongwon

309

The Energy Crops Company | Open Energy Information  

Open Energy Info (EERE)

Crops Company Crops Company Jump to: navigation, search Name The Energy Crops Company Place Cobham, United Kingdom Zip KT11 2LA Sector Biomass Product Distributor of pellets and installer of biomass heating equipment in Surrey, UK. Coordinates 41.739891°, -79.322189° 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":41.739891,"lon":-79.322189,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

310

Top Crop Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Crop Wind Farm Crop Wind Farm Facility Top Crop Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Horizon-EDPR Developer Horizon-EDPR Location Grundy/Livingston/La Salle Counties IL Coordinates 41.159826°, -88.637381° 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":41.159826,"lon":-88.637381,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

311

Signature Region of Interest using Auto cropping  

E-Print Network (OSTI)

A new approach for signature region of interest pre-processing was presented. It used new auto cropping preparation on the basis of the image content, where the intensity value of pixel is the source of cropping. This approach provides both the possibility of improving the performance of security systems based on signature images, and also the ability to use only the region of interest of the used image to suit layout design of biometric systems. Underlying the approach is a novel segmentation method which identifies the exact region of foreground of signature for feature extraction usage. Evaluation results of this approach shows encouraging prospects by eliminating the need for false region isolating, reduces the time cost associated with signature false points detection, and addresses enhancement issues. A further contribution of this paper is an automated cropping stage in bio-secure based systems.

Al-Mahadeen, Bassam; AlTarawneh, Islam H

2010-01-01T23:59:59.000Z

312

Efficacy and Timing of Fungicides, Bactericides, and Biologicals for Decidous Tree Fruit, Nut, Strawberry, and Vine Crops  

E-Print Network (OSTI)

Strawberry, and Vine Crops—2008 University of California —NUT, STRAWBERRY, AND VINE CROPS 2008 (Updated 2/19/08)crops .

Adaskaveg, Jim; Gubler, Doug; Michailides, Themis; Holtz, Brent

2008-01-01T23:59:59.000Z

313

Biomass resource potential using energy crops  

DOE Green Energy (OSTI)

Biomass energy crops can provide a significant and environmentally beneficial source of renewable energy feedstocks for the future. They can revitalize the agricultural sector of the US economy by providing profitable uses for marginal cropland. Energy crops include fast-growing trees, perennial grasses, and annual grasses, all capable of collecting solar energy and storing it as cellulosic compounds for several months to several years. Once solar energy is thus captured, it can be converted by means of currently available technologies to a wide variety of energy products such as electricity, heat, liquid transportation fuels, and gases. Experimental results from field trials have generated optimism that selected and improved energy crops, established on cropland with moderate limitations for crop production, have the potential for producing high yields. Both trees and grasses, under very good growing conditions, have produced average annual yields of 20 to 40 dry Mg ha{sup {minus}1} year{sup {minus}1}. Sorghum has shown especially high yields in the Midwest. Hybrids between sugar cane and its wild relatives, called energy cane, have yielded as much as 50 dry Mg ha{sup {minus}1} year{sup {minus}1} in Florida. These experimental results demonstrate that some species have the genetic potential for very rapid growth rates. New wood energy crop systems developed by the Department of Energy`s Biofuels Feedstock Development Program offer, at a minimum, a 100% increase in biomass production rates over the 2 to 4 Mg ha{sup {minus}1} year{sup {minus}1} of dry leafless woody biomass produced by most natural forest systems. Experimental data indicate that short rotation wood crops established on cropland with moderate limitations are capable of producing biomass yields of 8--20 dry Mg ha{sup {minus}1} year{sup {minus}1} with a present average about 11 dry Mg ha{sup {minus}1} year{sup {minus}1} on typical cropland sites.

Wright, L.L.; Cushman, J.H.; Martin, S.A.

1993-09-01T23:59:59.000Z

314

W.: Auto Cropping for Digital Photographs  

E-Print Network (OSTI)

In this paper, we propose an effective approach to the nearly untouched problem, still photograph auto cropping, which is one of the important features to automatically enhance photographs. To obtain an optimal result, we first formulate auto cropping as an optimization problem by defining an energy function, which consists of three sub models: composition sub model, conservative sub model and penalty sub model. Then, particle swarm optimization (PSO) is employed to obtain the optimal solution by maximizing the objective function. Experimental results and user studies over hundreds of photographs show that the proposed approach is effective and accurate in most cases, and can be used in many practical multimedia applications. 1.

Mingju Zhang

2005-01-01T23:59:59.000Z

315

Impact of Climate Change on Irrigation Water Availability, Crop Water Requirements and Soil Salinity in the SJV, CA  

E-Print Network (OSTI)

NeSmith, 1991. Temperature and crop development, p.5–29. In:Using reference evapotranspiration and crop coefficientsto estimate crop evapotranspiration for agronomic crops,

Hopmans, Jan W; Maurer, Edwin P

2008-01-01T23:59:59.000Z

316

Preplant 1,3-D treatments test well for perennial crop nurseries, but challenges remain  

E-Print Network (OSTI)

for 26-month June-budded crop if soil has been previouslyfruit and nut nursery crops in the United States. Outlooktest well for perennial crop nurseries, but challenges

2013-01-01T23:59:59.000Z

317

The Cost of Crop Damage Caused by Ozone Air Pollution From Motor Vehicles  

E-Print Network (OSTI)

L. (1982). Assessment of crop loss from ozone. Journal of1984). Assessing impacts of ozone on agricultural crops: II.crop yield functions and alternative exposure statistics.

Murphy, James; Delucchi, Mark; McCubbin, Donald; Kim, H.J.

1999-01-01T23:59:59.000Z

318

Conventional and molecular assays aid diagnosis of crop diseases and fungicide resistance  

E-Print Network (OSTI)

orchards in California. Crop Protec Ma Z, Yoshimura MA,assays aid diagnosis of crop diseases and fungicidemonitor, diagnose and quantify crop pathogens. We have also

2005-01-01T23:59:59.000Z

319

Integrated nutrient managment for sustainable production of sorghum-wheat crop sequeence  

E-Print Network (OSTI)

Rhizosperic environment and crop productivity. A reviewpaol) is the most important crop sequence of India occupyingMore over sorghum-wheat crop sequence is an exhaustive

Bhale, Vilas Madhukar Dr.

2009-01-01T23:59:59.000Z

320

Pigeonpea genomics initiative (PGI): an international effort to improve crop productivity of pigeonpea (Cajanus cajan L.)  

E-Print Network (OSTI)

effort to improve crop productivity of pigeonpea (CajanusMallikarjuna International Crops Research Institute for thean important food legume crop in the semi-arid regions of

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

OUTLOOK: Specialty crops and methyl bromide alternatives: Taking stock after 7 years  

E-Print Network (OSTI)

to Outlook Specialty crops and methyl bromide alternatives:Research Plant Pathologist, Crops Pathology and GeneticsS Jack Kelly Clark pecialty crop farms and nurseries in

Browne, Greg T

2013-01-01T23:59:59.000Z

322

The impact of mineral fertilizers on the carbon footprint of crop production  

E-Print Network (OSTI)

Impact of Agricultural Crop Production using the Life Cyclefield with the harvested crops and the nutrients supplied bysee Fig. 1). Supply of crop residues & organic fertilizer

Brentrup, Frank

2009-01-01T23:59:59.000Z

323

Weighing lysimeters aid study of water relations in tree and vine crops  

E-Print Network (OSTI)

Ross D, Smith M. 1998. Crop evapotranspiration: Guidelinesfor computing crop water requirements. FAO Irrigation andJ, Trout T, et al. 2000. Crop coefficients for mature peach

Johnson, R. Scott; Williams, Larry E.; Ayars, James E.; Trout, Tom J.

2005-01-01T23:59:59.000Z

324

Effect of Organic Farming on Soil Fertility , Yield and Quality of Crops in the Tropics  

E-Print Network (OSTI)

are the most essential crops in organic farming systems.Among the various vegetable crops grown in Kerala, cowpeahealth, yield, and quality of crops under organic farming.

Bhaskaran, Usha Pankajam; Krishna, Devi

2009-01-01T23:59:59.000Z

325

Access to intellectual property is a major obstacle to developing transgenic horticultural crops  

E-Print Network (OSTI)

technologies for targeted crop applications in sub- Saharanof genetically engineered crop variet- ies — such as publictransgenic horticultural crops Gregory D. Graff Brian D.

Graff, Gregory D.; Wright, Brian D.; Bennett, Alan B.; Zilberman, David

2004-01-01T23:59:59.000Z

326

The Cost of Crop Damage Caused by Ozone Air Pollution From Motor Vehicles  

E-Print Network (OSTI)

D. T. Tingey, Assessment of Crop Loss From Air Pollutants,,Assessing Impacts of Ozone on Agricultural Crops: II.Crop Yield Functions and Alternative Exposure Statistics",

Delucchi, Mark A.; Murphy, James; Kim, Jin; McCubbin, Donald R.

1996-01-01T23:59:59.000Z

327

Crop rotation and genetic resistance reduce risk of damage from Fusarium wilt in lettuce  

E-Print Network (OSTI)

ReVIEW Article Crop rotation and genetic resistance reduceon lettuce, not on any other crops tested (Hubbard and Gerikapproach that includes crop rotation to reduce soil inoculum

2012-01-01T23:59:59.000Z

328

Biomass crops can be used for biological disinfestation and remediation of soils and water  

E-Print Network (OSTI)

reduced feed intake. Biomass crop sustainability flexibilityEM, Davis RM. 2005. Mustard crops ineffective in soil-bornefor selective weed control. Crop Prot Ramirez-Villapudua J,

Stapleton, James J; Banuelos, Gary

2009-01-01T23:59:59.000Z

329

Switchgrass is a promising, high-yielding crop for California biofuel  

E-Print Network (OSTI)

responses of switchgrass crops to nitrogen fertilizer haveproduction systems for biomass energy crops. Because it canas forage and as a biofuel crop, switchgrass may be well

2011-01-01T23:59:59.000Z

330

Market Potential for Organic Crops in California: Almonds, Hay, and Winegrapes  

E-Print Network (OSTI)

and Agriculture. “State Organic Crop and Acreage Report. ”Market Potential for Organic Crops in California: Almonds,Market Potential for Organic Crops in California: Almonds,

Brodt, Sonja; Klonsky, Karen; Thrupp, Ann

2009-01-01T23:59:59.000Z

331

Density derived estimates of standing crop and net primary production in the giant kelp Macrocystis pyrifera  

E-Print Network (OSTI)

estimates of standing crop and net primary production in thevariables of standing crop and net primary production (NPP)southern California. Standing crop was much more strongly

Reed, Daniel; Rassweiler, Andrew; Arkema, Katie

2009-01-01T23:59:59.000Z

332

Current status and future directions for the U.S. Department of Energy`s short-rotation woody crop research  

DOE Green Energy (OSTI)

The US Department of Energy (DOE) initiated the Biofuels Feedstock Development Program (BFDP) at Oak Ridge National Laboratory (ORNL) in 1978. The program`s goal is to provide leadership in the development, demonstration and implementation of environmentally acceptable and commercially viable biomass supply systems. Three model short-rotation woody crop (SRWC) species, i.e. Populus spp., Acer saccharinum and Salix spp., have been selected for further development based on their productivity, adaptability, and suitability as biomass feedstocks. Of these three, Populus is the primary candidate for SRWC in the United States. For Populus the prescribed management system involves the use of intensive site preparation of agricultural quality lands, improved clonal plant materials at ca. 1,000 trees/ac, mechanical and chemical weed control for the first 2 years, and rotation length of 6--8 years, followed by replanting. Currently, due to the wider spacings and larger tree sizes, traditional, start-stop, one-piece harvesting techniques are being applied to SRWC; this includes the use of feller-bunchers, skidding to a common landing, and on-site chipping. Under the above silvicultural system, harvesting and transportation expenditures account for 50 to 60% of the total production costs. The productivity goals for SRWC are 8--12 t/ac/yr, with the current average across all sites and clones at ca. 4 t/ac/yr. Productivity rates on large-scale plantings have been documented at 11 t/ac/yr. To increase the average productivity rates, silvicultural enrichments [e.g., spacing variances, fertilization once per rotation (ca. 70 lbs/ac N), and irrigation], genetic improvement, and molecular genetics techniques are being applied to all model species. This research is being managed under the concept of regional, integrated Crop Development Centers. There are presently 3 Populus crop development centers.

Tuskan, G.A.; Downing, M.E.; Wright, L.L.

1994-09-01T23:59:59.000Z

333

Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 6.1 Consumption Ratios of Fuel, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 879.8 5.0 2.2 3112 Grain and Oilseed Milling 6,416.6 17.5 5.7 311221 Wet Corn Milling 21,552.1 43.6 18.2 31131 Sugar Manufacturing 6,629.2 31.3 12.2 3114 Fruit and Vegetable Preserving and Specialty Foods 1,075.3 5.5 2.8 3115 Dairy Products 956.3 4.3 1.3 3116 Animal Slaughtering and Processing 493.8 4.4 1.6 312

334

Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components;  

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

1.1 Electricity: Components of Net Demand, 2006; 1.1 Electricity: Components of Net Demand, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 73,242 309 4,563 111 78,003 3112 Grain and Oilseed Milling 15,283 253 2,845 72 18,310 311221 Wet Corn Milling 6,753 48 2,396 55 9,142 31131 Sugar Manufacturing 920 54 951 7 1,919 3114 Fruit and Vegetable Preserving and Specialty Foo 9,720 1 268 13 9,976 3115 Dairy Products 10,079 0 44 0 10,123 3116 Animal Slaughtering and Processing 17,545 0 17 0 17,562 312 Beverage and Tobacco Products

335

Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources  

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

4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006; 4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,109 326 1,462 11,395 2,920 67 13 1,149 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 144 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 17 31131 Sugar Manufacturing 78 78 11 43 61 35 26 13 35 3114 Fruit and Vegetable Preserving and Specialty Food 1,125 1,125 13 112 961 325 W 0 127 3115 Dairy Product 1,044 1,044 25 88 941 147 W 0 95

336

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes  

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

1.3 First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; 1.3 First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes Column: Energy Sources and Shipments; Unit: Trillion Btu. Shipments Economic Net Residual Distillate LPG and Coke and of Energy Sources Characteristic(a) Total(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,166 367 23 48 540 15 41 3 140 12 20-49 1,209 333 20 26 550 8 104 5 182 20 50-99 1,507 349 51 19 575 98 190 9 256 40 100-249 2,651 607 53 20 1,091 23 310 53 566 73 250-499 2,362 413 52 13 754 158 247 9 732 16 500 and Over

337

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

Gasoline and Diesel Fuel Update (EIA)

1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; 1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 13,269 13,265 151 2,494 10,376 4,061 64 7 1,668 W 3112 Grain and Oilseed Milling 602 602 9 201 490 286 30 0 165 W 311221 Wet Corn Milling 59 59 W 26 50 36 15 0 29 0 31131 Sugar Manufacturing 73 73 3 36 67 13 11 7 15 0 3114 Fruit and Vegetable Preserving and Specialty Foods 987 987

338

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

6 Electricity: Sales to Utility and Nonutility Purchasers, 2006; 6 Electricity: Sales to Utility and Nonutility Purchasers, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of Economic Sales and Utility Nonutility Characteristic(a) Transfers Offsite Purchaser(b) Purchaser(c) Total United States Value of Shipments and Receipts (million dollars) Under 20 28 28 0 20-49 307 227 80 50-99 2,218 1,673 545 100-249 2,647 1,437 1,210 250-499 3,736 2,271 1,464 500 and Over 10,814 5,665 5,149 Total 19,750 11,301 8,449 Employment Size Under 50 516 230 287 50-99 1,193 1,180 13 100-249 3,825 3,231 594 250-499 3,796 2,675 1,120 500-999 4,311 1,921 2,390

339

Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;  

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

3 Number of Establishments by Usage of Cogeneration Technologies, 2006; 3 Number of Establishments by Usage of Cogeneration Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies; Unit: Establishment Counts. Establishments with Any Cogeneration NAICS Technology Code(a) Subsector and Industry Establishments(b) in Use(c) In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know Total United States 311 Food 14,128 297 99 11,338 2,691 51 11,217 2,860 10 11,333 2,786 164 11,129 2,836 9 11,235 2,884 3112 Grain and Oilseed Milling 580 53 Q 499 38 5 532 42 W 533 W Q 533 44 5 530 45 311221 Wet Corn Milling 47 11 W 35 W W 43 W W 39 W 0 44 3 0 41 6 31131 Sugar Manufacturing

340

Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies;  

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies; Unit: Establishment Counts. NAICS Code(a) Subsector and Industry Establishments(b) In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know Total United States 311 Food 14,128 1,632 9,940 2,556 3,509 8,048 2,571 1,590 9,609 2,929 6,260 5,014 2,854 422 9,945 3,762 3112 Grain and Oilseed Milling 580 59 475 46 300 236 Q 154 398 28 446 95 Q 45 442 92 311221 Wet Corn Milling 47 9 34 4 36 W W 27 15 6 38 3 6 8 24 16 31131 Sugar Manufacturing 77

Note: This page contains sample records for the topic "yr row crop" 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

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes  

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

2.3 Nonfuel (Feedstock) Use of Combustible Energy, 2006; 2.3 Nonfuel (Feedstock) Use of Combustible Energy, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes Column: Energy Sources Unit: Trillion Btu Economic Residual Distillate LPG and Coke and Characteristic(a) Total Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal Breeze Other(e) Total United States Value of Shipments and Receipts (million dollars) Under 20 47 0 3 5 Q 20 1 17 20-49 112 7 Q 20 1 12 1 64 50-99 247 29 Q 26 88 33 * 68 100-249 313 28 1 97 12 48 43 85 250-499 297 * * 121 154 3 5 13 500 and Over 2,547 * * 130 2,043 301 6 66 Not Ascertained (f) 3,399 0 0 0 0 0 0 3,399 Total 6,962 64 17 398 2,299 417 56 3,711 Employment Size Under 50 161 4 Q 48 15 19 0 64 50-99 390 41 1 97 145 27 1 77 100-249

342

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

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

1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; 1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 14,128 14,113 326 1,475 11,399 2,947 67 15 1,210 W 3112 Grain and Oilseed Milling 580 580 15 183 449 269 35 0 148 W 311221 Wet Corn Milling 47 47 W 17 44 19 18 0 18 0 31131 Sugar Manufacturing 78 78 11 45 61 35 26 15 45 0 3114 Fruit and Vegetable Preserving and Specialty Food 1,125

343

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

3.3 Fuel Consumption, 2006; 3.3 Fuel Consumption, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,139 367 23 45 535 14 21 3 131 20-49 1,122 333 13 19 530 8 93 5 122 50-99 1,309 349 22 17 549 10 157 8 197 100-249 2,443 607 25 19 994 11 263 10 512 250-499 2,092 413 53 13 633 4 244 3 730 500 and Over 7,551 781 115 17 2,271 31 240 344 3,752 Total 15,657 2,851 251 129 5,512 79 1,016 374 5,445 Employment Size Under 50 1,103 334 10 45 550 10

344

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

2 Consumption Ratios of Fuel, 2006; 2 Consumption Ratios of Fuel, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value Economic per Employee of Value Added of Shipments Characteristic(a) (million Btu) (thousand Btu) (thousand Btu) Total United States Value of Shipments and Receipts (million dollars) Under 20 330.6 3.6 2.0 20-49 550.0 4.5 2.2 50-99 830.1 5.9 2.7 100-249 1,130.0 6.7 3.1 250-499 1,961.4 7.6 3.6 500 and Over 3,861.9 9.0 3.6 Total 1,278.4 6.9 3.1 Employment Size Under 50 562.6 4.7 2.4 50-99 673.1 5.1 2.4 100-249 1,072.8 6.5 3.0 250-499 1,564.3 7.7 3.6 500-999 2,328.9

345

Health hazard evaluation report HETA 96-0137-2607, Yankee Atomic Electric Company, Rowe, Massachusetts  

SciTech Connect

In response to a request from the Health and Safety Supervisor at the Yankee Nuclear Power Station (SIC-4911), Rowe, Massachusetts, an investigation was begun into ozone (10028156) exposure during plasma arc cutting and welding. Welders had reported chest tightness, dry cough, and throat and bronchial irritation. The nuclear power station was in the process of being decommissioned, and workers were dismantling components using welding and cutting methods. Of the operations observed during the site visit, the highest ozone concentrations were generated during plasma arc cutting, followed by metal inert gas (MIG) welding and arc welding. During plasma arc cutting the average and peak concentrations exceeded the NIOSH ceiling recommended exposure limit of 0.1 part per million. The author concludes that ozone exposure during plasma arc cutting and MIG welding presented a health hazard to welders. The author recommends that improvements be made in the local exhaust ventilation, that nitrogen-dioxide levels be monitored during hot work, and that many exposed workers wear protective clothing, use ultraviolet blocking lotion, and continue the use appropriate shade of eye protection.

Sylvain, D.C.

1996-10-01T23:59:59.000Z

346

Review of reactor pressure vessel evaluation report for Yankee Rowe Nuclear Power Station (YAEC No. 1735)  

SciTech Connect

The Yankee Atomic Electric Company has performed an Integrated Pressurized Thermal Shock (IPTS)-type evaluation of the Yankee Rowe reactor pressure vessel in accordance with the PTS Rule (10 CFR 50. 61) and a US Regulatory Guide 1.154. The Oak Ridge National Laboratory (ORNL) reviewed the YAEC document and performed an independent probabilistic fracture-mechnics analysis. The review included a comparison of the Pacific Northwest Laboratory (PNL) and the ORNL probabilistic fracture-mechanics codes (VISA-II and OCA-P, respectively). The review identified minor errors and one significant difference in philosophy. Also, the two codes have a few dissimilar peripheral features. Aside from these differences, VISA-II and OCA-P are very similar and with errors corrected and when adjusted for the difference in the treatment of fracture toughness distribution through the wall, yield essentially the same value of the conditional probability of failure. The ORNL independent evaluation indicated RT{sub NDT} values considerably greater than those corresponding to the PTS-Rule screening criteria and a frequency of failure substantially greater than that corresponding to the ``primary acceptance criterion`` in US Regulatory Guide 1.154. Time constraints, however, prevented as rigorous a treatment as the situation deserves. Thus, these results are very preliminary.

Cheverton, R.D.; Dickson, T.L.; Merkle, J.G.; Nanstad, R.K. [Oak Ridge National Lab., TN (United States)

1992-03-01T23:59:59.000Z

347

Review of reactor pressure vessel evaluation report for Yankee Rowe Nuclear Power Station (YAEC No. 1735)  

Science Conference Proceedings (OSTI)

The Yankee Atomic Electric Company has performed an Integrated Pressurized Thermal Shock (IPTS)-type evaluation of the Yankee Rowe reactor pressure vessel in accordance with the PTS Rule (10 CFR 50. 61) and a US Regulatory Guide 1.154. The Oak Ridge National Laboratory (ORNL) reviewed the YAEC document and performed an independent probabilistic fracture-mechnics analysis. The review included a comparison of the Pacific Northwest Laboratory (PNL) and the ORNL probabilistic fracture-mechanics codes (VISA-II and OCA-P, respectively). The review identified minor errors and one significant difference in philosophy. Also, the two codes have a few dissimilar peripheral features. Aside from these differences, VISA-II and OCA-P are very similar and with errors corrected and when adjusted for the difference in the treatment of fracture toughness distribution through the wall, yield essentially the same value of the conditional probability of failure. The ORNL independent evaluation indicated RT{sub NDT} values considerably greater than those corresponding to the PTS-Rule screening criteria and a frequency of failure substantially greater than that corresponding to the primary acceptance criterion'' in US Regulatory Guide 1.154. Time constraints, however, prevented as rigorous a treatment as the situation deserves. Thus, these results are very preliminary.

Cheverton, R.D.; Dickson, T.L.; Merkle, J.G.; Nanstad, R.K. (Oak Ridge National Lab., TN (United States))

1992-03-01T23:59:59.000Z

348

Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;  

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

4 Electricity: Components of Onsite Generation, 2006; 4 Electricity: Components of Onsite Generation, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood Economic Total Onsite and Characteristic(a) Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,447 450 Q Q 20-49 5,220 5,106 29 Q 50-99 3,784 3,579 29 Q 100-249 17,821 17,115 484 222 250-499 28,464 27,202 334 927 500 and Over 86,249 85,028 106 1,114 Total 142,986 138,480 1,030 3,476 Employment Size Under 50 2,193 1,177 Q Q 50-99 6,617 6,438 13 166 100-249 12,403 12,039 266 98 250-499

349

Improving the Way We Harvest & Deliver Biofuels Crops | Department...  

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

Improving the Way We Harvest & Deliver Biofuels Crops Improving the Way We Harvest & Deliver Biofuels Crops May 24, 2013 - 9:40am Addthis The self-propelled baler collects and...

350

D1 Fuel Crops Ltd | Open Energy Information  

Open Energy Info (EERE)

D1 Fuel Crops Ltd Jump to: navigation, search Name D1 Fuel Crops Ltd Place London, United Kingdom Zip SE1 2RE Product London-based JV between BP and D1 oils focusing on the...

351

Contemporary and historical classification of crop types in Arizona  

Science Conference Proceedings (OSTI)

This research compares three different classification algorithms for mapping crops in Pinal County, Arizona, using both present and historical image data. The study area lacked past crop maps, and farmers were dealing with the risk of evolution of resistance ...

KyleA. Hartfield, StuartE. Marsh, ChristaD. Kirk, Yves Carrière

2013-09-01T23:59:59.000Z

352

A Century of Monitoring Weather and Crops: The Weekly Weather and Crop Bulletin  

Science Conference Proceedings (OSTI)

Publication of a national weekly weather summary called the Weekly Weather Chronicle began in 1872. This summary was the precursor of today's Weekly Weather and Crop Bulletin (WWCB), a publication that reports global weather and climate ...

Thomas R. Heddinghaus; Douglas M. Le Comte

1992-02-01T23:59:59.000Z

353

Pharmaceutical crops have a mixed outlook in California  

E-Print Network (OSTI)

crops have a mixed outlook in California by Michelle Marvieras environmental harm. The outlook for the production of

Marvier, Michelle

2007-01-01T23:59:59.000Z

354

Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching  

DOE Patents (OSTI)

A stabilization and propulsion system comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the super conducting magnets on the vehicle.

He, Jianliang (Naperville, IL); Rote, Donald M. (Lagrange, IL)

1996-01-01T23:59:59.000Z

355

Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching  

DOE Patents (OSTI)

A stabilization and propulsion system are disclosed comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the superconducting magnets on the vehicle. 12 figs.

He, J.; Rote, D.M.

1996-05-21T23:59:59.000Z

356

Test of a solar crop dryer Danish Technological Institute  

E-Print Network (OSTI)

Test of a solar crop dryer Danish Technological Institute Danish Institute of Agricultural Sciences Aidt Miljø A/S SEC-R-6 #12;Test of a solar crop dryer Søren �stergaard Jensen Danish Technological/S January 2001 #12;Preface The report describes the tests carried out on a solar crop dryer. The work

357

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

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

1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" 1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," "," ",,,"Computer","Control of","Processes"," "," "," ",,,," ",," " " "," ","Computer Control","of Building-Wide","Environment(b)","or Major","Energy-Using","Equipment(c)","Waste","Heat","Recovery","Adjustable -","Speed","Motors","RSE"

358

CliCrop: a Crop Water-Stress and Irrigation Demand Model for an Integrated Global Assessment Model Approach  

E-Print Network (OSTI)

This paper describes the use of the CliCrop model in the context of climate change general assessment

Fant, C.A.

359

Isotopic validation for PWR actinide-only burnup credit using Yankee Rowe data  

Science Conference Proceedings (OSTI)

Safety analyses of criticality control systems for transportation packages include an assumption that the spent nuclear fuel (SNF) loaded into the package is fresh or unirradiated. In other words, the spent fuel is assumed to have its original, as-manufactured U-235 isotopic content. The ``fresh fuel`` assumption is very conservative since the potential reactivity of the nuclear fuel is substantially reduced after being irradiated in the reactor core. The concept of taking credit for this reduction in nuclear fuel reactivity due to burnup of the fuel, instead of using the fresh fuel assumption in the criticality safety analysis, is referred to as ``Burnup Credit.`` Burnup credit uses the actual physical composition of the fuel and accounts for the net reduction of fissile material and the buildup of neutron absorbers in the fuel as it is irradiated. Neutron absorbers include actinides and other isotopes generated as a result of the fission process. Using only the change in actinide isotopes in the burnup credit criticality analysis is referred to as ``Actinide-Only Burnup Credit.`` The use of burnup credit in the design of criticality control systems enables more spent fuel to be placed in a package. Increased package capacity results in a reduced number of storage, shipping and disposal containers for a given number of SNF assemblies. Fewer shipments result in a lower risk of accidents associated with the handling and transportation of spent fuel, thus reducing both radiological and nonradiological risk to the public. This paper describes the modeling and the results of comparison between measured and calculated isotopic inventories for a selected number of samples taken from a Yankee Rowe spent fuel assembly.

NONE

1997-11-01T23:59:59.000Z

360

Gaze-Based Interaction for Semi-Automatic Photo Cropping  

E-Print Network (OSTI)

We present an interactive method for cropping photographs given minimal information about the location of important content, provided by eye tracking. Cropping is formulated in a general optimization framework that facilitates adding new composition rules, as well as adapting the system to particular applications. Our system uses fixation data to identify important content and compute the best crop for any given aspect ratio or size, enabling applications such as automatic snapshot recomposition, adaptive documents, and thumbnailing. We validate our approach with studies in which users compare our crops to ones produced by hand and by a completely automatic approach. Experiments show that viewers prefer our gaze-based crops to uncropped images and fully automatic crops. Author Keywords cropping, photography, composition, evaluation, eye tracking, visual perception

Anthony Santella; Maneesh Agrawala; Doug Decarlo; David Salesin; Michael Cohen

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

International Crops Research Institute for the Semi Arid Tropics | Open  

Open Energy Info (EERE)

Crops Research Institute for the Semi Arid Tropics Crops Research Institute for the Semi Arid Tropics Jump to: navigation, search Name International Crops Research Institute for the Semi-Arid Tropics Place India Sector Biofuels Product Biofuels ( Academic / Research foundation ) References International Crops Research Institute for the Semi-Arid Tropics[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. International Crops Research Institute for the Semi-Arid Tropics is a company located in India . References ↑ "International Crops Research Institute for the Semi-Arid Tropics" Retrieved from "http://en.openei.org/w/index.php?title=International_Crops_Research_Institute_for_the_Semi_Arid_Tropics&oldid=347036

362

Economic Analysis of Energy Crop Production in the U.S. - Location, Quantities, Price, and Impacts on Traditional Agricultural Crops  

DOE Green Energy (OSTI)

POLYSYS is used to estimate US locations where, for any given energy crop price, energy crop production can be economically competitive with conventional crops. POLYSYS is a multi-crop, multi-sector agricultural model developed and maintained by the University of Tennessee and used by the USDA-Economic Research Service. It includes 305 agricultural statistical districts (ASD) which can be aggregated to provide state, regional, and national information. POLYSYS is being modified to include switchgrass, hybrid poplar, and willow on all land suitable for their production. This paper summarizes the preliminary national level results of the POLYSYS analysis for selected energy crop prices for the year 2007 and presents the corresponding maps (for the same prices) of energy crop production locations by ASD. Summarized results include: (1) estimates of energy crop hectares (acres) and quantities (dry Mg, dry tons), (2) identification of traditional crops allocated to energy crop production and calculation of changes in their prices and hectares (acres) of production, and (3) changes in total net farm returns for traditional agricultural crops. The information is useful for identifying areas of the US where large quantities of lowest cost energy crops can most likely be produced.

Walsh, M.E.; De La Torre Ugarte, D.; Slinsky, S.; Graham, R.L.; Shapouri, H.; Ray, D.

1998-10-04T23:59:59.000Z

363

Global crop yield losses from recent warming  

Science Conference Proceedings (OSTI)

Global yields of the world-s six most widely grown crops--wheat, rice, maize, soybeans, barley, sorghum--have increased since 1961. Year-to-year variations in growing season minimum temperature, maximum temperature, and precipitation explain 30% or more of the variations in yield. Since 1991, climate trends have significantly decreased yield trends in all crops but rice, leading to foregone production since 1981 of about 12 million tons per year of wheat or maize, representing an annual economic loss of $1.2 to $1.7 billion. At the global scale, negative impacts of climate trends on crop yields are already apparent. Annual global temperatures have increased by {approx}0.4 C since 1980, with even larger changes observed in several regions (1). While many studies have considered the impacts of future climate changes on food production (2-5), the effects of these past changes on agriculture remain unclear. It is likely that warming has improved yields in some areas, reduced them in others, and had negligible impacts in still others; the relative balance of these effects at the global scale is unknown. An understanding of this balance would help to anticipate impacts of future climate changes, as well as to more accurately assess recent (and thereby project future) technologically driven yield progress. Separating the contribution of climate from concurrent changes in other factors--such as crop cultivars, management practices, soil quality, and atmospheric carbon dioxide (CO{sub 2}) levels--requires models that describe the response of yields to climate. Studies of future global impacts of climate change have typically relied on a bottom-up approach, whereby field scale, process-based models are applied to hundreds of representative sites and then averaged (e.g., ref 2). Such approaches require input data on soil and management conditions, which are often difficult to obtain. Limitations on data quality or quantity can thus limit the utility of this approach, especially at the local scale (6-8). At the global scale, however, many of the processes and impacts captured by field scale models will tend to cancel out, and therefore simpler empirical/statistical models with fewer input requirements may be as accurate (8, 9). Empirical/statistical models also allow the effects of poorly modeled processes (e.g., pest dynamics) to be captured and uncertainties to be readily quantified (10). Here we develop new, empirical/statistical models of global yield responses to climate using datasets on broad-scale yields, crop locations, and climate variability. We focus on global average yields for the six most widely grown crops in the world: wheat, rice, maize, soybeans, barley, and sorghum. Production of these crops accounts for over 40% of global cropland area (11). 55% of non-meat calories, and over 70% of animal feed (12).

Lobell, D; Field, C

2006-06-02T23:59:59.000Z

364

A national research & development strategy for biomass crop feedstocks  

DOE Green Energy (OSTI)

Planning was initiated in 1996 with the objective of reevaluating current biomass feedstock research and development strategies to: (1) assure that by 2005, one or more commercial lignocellulosic to ethanol projects will be able to acquire a dependable supply of biomass crop feedstocks; (2) assure that recently initiated demonstrations of crops to electricity will be successful and; (3) assure that the research base needed to support future biomass industry expansion is being developed. Multiple trends and analyses indicate that biomass energy research and development strategies must take into account the fact that competition for land will define the upper limits of available biomass energy crop supplies and will largely dictate the price of those supplies. Only crop production and utilization strategies which contribute profit to the farmer or landowner and to energy producers will be used commercially for biomass energy production. Strategies for developing biomass {open_quotes}energy{close_quotes} crop supplies must take into consideration all of the methods by which biomass crops will enter biomass energy markets. The lignocellulosic materials derived from crops can be available as primary residues or crop by-products; secondary residues or processing by-products; co-products (at both the crop production and processing stages); or, as dedicated energy crops. Basic research and development (R&D) leading to yield improvement continues to be recommended as a major long-term focus for dedicated energy crops. Many additional near term topics need attention, some of which are also applicable to by-products and co-products. Switchgrass R&D should be expanded and developed with greater collaboration of USDA and state extension groups. Woody crop research should continue with significant cost-share from industries developing the crops for other commercial products. Co-product options need more investigation.

Wright, L.L.; Cushman, J.H.

1997-07-01T23:59:59.000Z

365

PROJECT SHEET SUBCOMMITTEE: Food Residues Subcommittee PROJECT TITLE: Expansion, Development and Harmonization of Crop Groups With Specified Representative Crops for Field Crop Residues Studies  

E-Print Network (OSTI)

GOAL/OBJECTIVE: To further develop and implement Crop groups utilized by NAFTA and based on representative commodities to foster worldwide harmonization of Crop groups and commodity terminology which will help remove trade irritants due to differences in commodity tolerance levels or MRLs for minor and specialty crops. PROJECT DESCRIPTION/PROCEDURE The Chairperson (Hong Chen) of the International Crop Grouping Consulting Committee (ICGCC) forwards the Symposium proposal for a particular crop group to the appropriate workgroup of the ICGCC via emails and requests the workgroup members to provide input on crop information and maximum residue limit (MRL) information (includes U.S., NAFTA, Codex and EU) on the commodities. Growers and commodity experts also provide valuable input on commodities. International members provide specific information on the commodities grown in their countries and regions which provides perspectives on harmonization approaches. Based on the input, the ICGCC Chairperson will prepare commodity monographs, divide subgroups, select representative crops and draft new crop group petitions. The draft petitions will be forwarded to the workgroup for review and comments before being finalized, and the

unknown authors

2007-01-01T23:59:59.000Z

366

" Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"  

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

8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" 8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Establishment Counts." ,,,"Electricity","Components",,,"Natural","Gas","Components",,"Steam","Components" ,,,,"Electricity","Electricity",,,"Natural Gas","Natural Gas",,,"Steam","Steam" " "," ",,,"from Only","from Both",,,"from Only","from Both",,,"from Only","from Both"," ",," "

367

Microsoft PowerPoint - 6_Rowe-Future Challenges for Global Fuel Cycle Material Accounting Final_Updated.pptx  

National Nuclear Security Administration (NNSA)

Future Challenges Future Challenges for Global Fuel Cycle Material Accounting Nathan Rowe Chris Pickett Oak Ridge National Laboratory Nuclear Materials Management & Safeguards System Users Annual Training Meeting May 20-23, 2013 St. Louis, Missouri 2 Future Challenges for Global Fuel Cycle Material Accounting Introduction * Changing Nuclear Fuel Cycle Activities * Nuclear Security Challenges * How to Respond? - Additional Protocol - State-Level Concept - Continuity of Knowledge * Conclusion 3 Future Challenges for Global Fuel Cycle Material Accounting Nuclear Fuel Cycle Source: International Atomic Energy Agency (IAEA), Nuclear Fuel Cycle Information System (NFCIS) web site IAEA Safeguards Begins Here 4 Future Challenges for Global Fuel Cycle Material Accounting Nuclear Weapons Cycle Conversion

368

Technical evaluation of the adequacy of station electric distribution system voltages for the Yankee Rowe Nuclear Power Station  

SciTech Connect

This report documents the technical evaluation of the adequacy of the station electric distribution system voltages for the Yankee Rowe Nuclear Power Station. The evaluation is to determine if the onsite distribution system, in conjunction with the offsite power sources, has sufficient capacity to automatically start and operate all Class 1E loads within the equipment voltage ratings under certain conditions established by the Nuclear Regulatory Commission. The analysis shows that the station electric distribution system has the capacity and capability to supply voltage to the Class 1E equipment with their design ratings for the worst case loading condition.

Selan, J.C.

1981-05-29T23:59:59.000Z

369

Biomass Crop Assistance Program (BCAP) | Open Energy Information  

Open Energy Info (EERE)

Biomass Crop Assistance Program (BCAP) Biomass Crop Assistance Program (BCAP) Jump to: navigation, search Tool Summary Name: Biomass Crop Assistance Program (BCAP) Agency/Company /Organization: United States Department of Agriculture Partner: Farm Service Agency Sector: Energy, Land Focus Area: Biomass, - Biomass Combustion, - Biomass Gasification, - Biomass Pyrolysis, - Biofuels Phase: Develop Finance and Implement Projects Resource Type: Guide/manual User Interface: Website Website: www.fsa.usda.gov/FSA/webapp?area=home&subject=ener&topic=bcap Cost: Free The Biomass Crop Assistance provides financial assistance to offset, for a period of time, the fuel costs for a biomass facility. Overview The Biomass Crop Assistance provides financial assistance to offset, for a period of time, the fuel costs for a biomass facility. The Biomass Crop

370

Molybdenum uptake by forage crops grown on sewage sludge -- Amended soils in the field and greenhouse  

Science Conference Proceedings (OSTI)

Molybdenum (Mo) is a plant-available element in soils that can adversely affect the health of farm animals. There is a need for more information on its uptake into forage crops from waste materials, such as sewage sludge, applied to agricultural land. Field and greenhouse experiments with several crops grown on long-term sewage sludge-amended soils as well as soils recently amended with dewatered (DW) and alkaline-stabilized (ALK) sludges indicated that Mo supplied from sludge is readily taken up by legumes in particular. Excessive uptake into red clover (Trifolium pratense L.) was seen in a soil that had been heavily amended with sewage sludge 20 yr earlier, where the soil contained about 3 mg Mo/kg soil, three times the background soil concentration. The greenhouse and field studies indicated that Mo can have a long residual availability in sludge-amended soils. The effect of sludge application was to decrease Cu to Mo ratios in legume forages, canola (Brassica napus var. napus) and soybeans [Glycine max (L.) Merr.] below the recommended limit of 2:1 for ruminant diets, a consequence of high bioavailability of Mo and low uptake of Cu added in sludge. Molybdenum uptake coefficients (UCs) for ALK sludge were higher than for DW sludge, presumably due to the greater solubility of Mo measured in the more alkaline sludges and soils. Based on these UCs, it is tentatively recommended that cumulative Mo loadings on forages grown on nonacid soils should not exceed 1.0 kg/ha from ALK sludge or 4.0 kg/ha from DW sludge.

McBride, M.B.; Richards, B.K.; Steenhuis, T.; Spiers, G.

2000-06-01T23:59:59.000Z

371

Energy Crops Engineered for Increased Sugar Extraction through ...  

Energy Crops Engineered for Increased Sugar Extraction through Inhibition of snl6 Expression Lawrence Berkeley National Laboratory. Contact LBL About This ...

372

Essays on ethanol-driven corn demand and crop choice.  

E-Print Network (OSTI)

??Two essays are focused on crop choice and the growth of corn production in the Corn Belt and surrounding areas. The first essay develops a… (more)

[No author

2011-01-01T23:59:59.000Z

373

Weather-based forecasts of California crop yields  

SciTech Connect

Crop yield forecasts provide useful information to a range of users. Yields for several crops in California are currently forecast based on field surveys and farmer interviews, while for many crops official forecasts do not exist. As broad-scale crop yields are largely dependent on weather, measurements from existing meteorological stations have the potential to provide a reliable, timely, and cost-effective means to anticipate crop yields. We developed weather-based models of state-wide yields for 12 major California crops (wine grapes, lettuce, almonds, strawberries, table grapes, hay, oranges, cotton, tomatoes, walnuts, avocados, and pistachios), and tested their accuracy using cross-validation over the 1980-2003 period. Many crops were forecast with high accuracy, as judged by the percent of yield variation explained by the forecast, the number of yields with correctly predicted direction of yield change, or the number of yields with correctly predicted extreme yields. The most successfully modeled crop was almonds, with 81% of yield variance captured by the forecast. Predictions for most crops relied on weather measurements well before harvest time, allowing for lead times that were longer than existing procedures in many cases.

Lobell, D B; Cahill, K N; Field, C B

2005-09-26T23:59:59.000Z

374

Developing Switchgrass as a Bioenergy Crop  

DOE Green Energy (OSTI)

The utilization of energy crops produced on American farms as a source of renewable fuels is a concept with great relevance to current ecological and economic issues at both national and global scales. Development of a significant national capacity to utilize perennial forage crops, such as switchgrass (Panicum virgatum, L.) as biofuels could benefit our agricultural economy by providing an important new source of income for farmers. In addition energy production from perennial cropping systems, which are compatible with conventional fining practices, would help reduce degradation of agricultural soils, lower national dependence on foreign oil supplies, and reduce emissions of greenhouse gases and toxic pollutants to the atmosphere (McLaughlin 1998). Interestingly, on-farm energy production is a very old concept, extending back to 19th century America when both transpofiation and work on the farm were powered by approximately 27 million draft animals and fueled by 34 million hectares of grasslands (Vogel 1996). Today a new form of energy production is envisioned for some of this same acreage. The method of energy production is exactly the same - solar energy captured in photosynthesis, but the subsequent modes of energy conversion are vastly different, leading to the production of electricity, transportation fuels, and chemicals from the renewable feedstocks. While energy prices in the United States are among the cheapest in the world, the issues of high dependency on imported oil, the uncertainties of maintaining stable supplies of imported oil from finite reserves, and the environmental costs associated with mining, processing, and combusting fossil fuels have been important drivers in the search for cleaner burning fuels that can be produced and renewed from the landscape. At present biomass and bioenergy combine provide only about 4% of the total primary energy used in the U.S. (Overend 1997). By contrast, imported oil accounts for approximately 44% of the foreign trade deficit in the U.S. and about 45% of the total annual U.S. oil consumption of 34 quads (1 quad = 1015 Btu, Lynd et al. 1991). The 22 quads of oil consumed by transportation represents approximately 25% of all energy use in the US and excedes total oil imports to the US by about 50%. This oil has environmental and social costs, which go well beyond the purchase price of around $15 per barrel. Renewable energy from biomass has the potential to reduce dependency on fossil fhels, though not to totally replace them. Realizing this potential will require the simultaneous development of high yielding biomass production systems and bioconversion technologies that efficiently convert biomass energy into the forms of energy and chemicals usable by industry. The endpoint criterion for success is economic gain for both agricultural and industrial sectors at reduced environmental cost and reduced political risk. This paper reviews progress made in a program of research aimed at evaluating and developing a perennial forage crop, switchgrass as a regional bioenergy crop. We will highlight here aspects of research progress that most closely relate to the issues that will determine when and how extensively switchgrass is used in commercial bioenergy production.

Bouton, J.; Bransby, D.; Conger, B.; McLaughlin, S.; Ocumpaugh, W.; Parrish, D.; Taliaferro, C.; Vogel, K.; Wullschleger, S.

1998-11-08T23:59:59.000Z

375

Long-term tillage, cropping sequence, and nitrogen fertilization effects on soil carbon and nitrogen dynamics  

E-Print Network (OSTI)

Management practices that may increase soil organic matter (SOM) storage include conservation tillage, especially no till (NT), enhanced cropping intensity, and fertilization. My objectives were to evaluate management effects on labile [soil microbial biomass (SMB) and mineralizable, particulate organic matter (POM), and hydrolyzable SOM] and slow (mineral-associated and resistant organic) C and N pools and turnover in continuous sorghum [Sorghum bicolor (L.) Moench.], wheat (Triticum aestivum L.), and soybean [Glycine max (L.) Merr.], sorghum-wheat/soybean, and wheat/soybean sequences under convent ional tillage (CT) and NT with and without N fertilization. A Weswood silty clay loam (fine, mixed, thermic Fluventic Ustochepts) in southern central Texas was sampled at three depth increments to a 30-cm depth after wheat, sorghum, and soybean harvesting. Soil organic C and total N showed similar responses to tillage, cropping sequence, and N fertilization following wheat, sorghum, and soybean. Most effects were observed in surface soils. NT significantly increased SOC. Nitrogen fertilization significantly increased SOC only under NT. Compared to NT or N addition, enhanced cropping intensity only slightly increased SOC. Estimates of C sequestration rates under NT indicated that SOC would reach a new equilibrium after 20 yr or less of imposition of this treatment. Labile pools were all significantly greater with NT than CT at 0 to 5 cm and decreased with depth. SMB, mineralizable C and N, POM, and hydrolyzable C were highly correlated with each other and SOC, but their slopes were significantly different, being lowest in mineralizable C and highest in hydrolyzable C. These results indicated that different methods determined various fractions of total SOC. Results from soil physical fractionation and 13C concentrations further supported these observations. Carbon turnover rates increased in the sequence: ROC < silt- and clayassociated C < microaggregate-C < POM-C. Long-term incubation showed that 4 to 5% of SOC was in active pools with mean residence time (MRT) of about 50 days, 50% of SOC was in slow pools with an average MRT of 12 years, and the remainder was in resistant pools with an assumed MRT of over 500 years.

Dou, Fugen

376

Incorporation of crop phenology in Simple Biosphere Model (SiBcrop) to improve land-atmosphere carbon exchanges from croplands  

E-Print Network (OSTI)

for integrated field crop management. Cornell Universityactivity within the crop canopy. Aust. J. agric. Res. , 23,Assessing uncertainties in crop model simulations using

Lokupitiya, Erandathie

2010-01-01T23:59:59.000Z

377

EFFICACY AND TIMING OF FUNGICIDES, BACTERICIDES, AND BIOLOGICALS for DECIDUOUS TREE FRUIT, NUT, STRAWBERRY, AND VINE CROPS 2011  

E-Print Network (OSTI)

NUT, STRAWBERRY, AND VINE CROPS ALMOND APPLE/PEAR APRICOTNut, Strawberry, and Vine Crops—2011 Table of Contents — 1Nut, Strawberry, and Vine Crops in California Single active

Adaskaveg, J E; Gubler, W D; Michailides, Themis J.; Holtz, Brent A.

2011-01-01T23:59:59.000Z

378

Integrated plant nutrient management on diversified cropping system in aqua-terrestrial ecosystem for yield potentiality, quality and rural sustainability  

E-Print Network (OSTI)

Agronomic Management of Wetland Crops, published by Kalyanion these aquatic beneficial crops for obtaining higherof aquatic food and non-food crops in neglected way ( Puste,

PUSTE, ANANDAMOY DR.; DE, PRALAY ER.; MAITY, TAPAN KUMAR DR.

2009-01-01T23:59:59.000Z

379

Combined Water-Fertilizer Management to Minimize Non-Point Water Pollution While Achieving High Crop Production  

E-Print Network (OSTI)

POLLUTION WHILE ACHIEVING HIGH CROP PRODUCTION JOHN ~ETEYand broccoli relationships and crop yield and nitrogen as amust anticipate Applica- crop nutrient and must be placed in

Letey, John; Jarrell, Wesley M

1983-01-01T23:59:59.000Z

380

The Dynamics of Irrigated Perennial Crop Production With Applications to the Murray-Darling Basin of Australia  

E-Print Network (OSTI)

severe damages to U.S. crop yields under climate change,”demand for perennial crops is identified by systematicallyspace approach to perennial crop supply analysis,” American

Franklin, Bradley

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

The cost of producing switchgrass as a dedicated energy crop  

SciTech Connect

Switchgrass offers many air soil, and water quality benefits as discussed in Herbaceous Energy Crops and the Potential for Soil conservation. But for large-scale biofuel production to become a reality several economic criteria must be met. This article summarizes the biological and economic potential for making switchgrass a commercial energy crop.

1994-12-31T23:59:59.000Z

382

13September 2011 Lignocellulosic Biofuels from New Bioenergy Crops  

E-Print Network (OSTI)

13September 2011 2010 Lignocellulosic Biofuels from New Bioenergy Crops Federal Initiative- tonnage bioenergy crop on a commercial scale and convert it into an advanced biofuel (gasoline) in a pilot the biofuels production goals of the United States while helping to alleviate constraints on food and feed

383

Surrogate Data to Estimate Crop-Hail Loss  

Science Conference Proceedings (OSTI)

Crop-hail insurance loss data for 1948–94 are useful as measures of the historical variability of damaging hail in those 26 states where most crop damages occur. However, longer records are needed for various scientific and business applications, ...

David Changnon; Stanley A. Changnon

1997-09-01T23:59:59.000Z

384

Review: Sensing technologies for precision specialty crop production  

Science Conference Proceedings (OSTI)

With the advances in electronic and information technologies, various sensing systems have been developed for specialty crop production around the world. Accurate information concerning the spatial variability within fields is very important for precision ... Keywords: Precision agriculture, Review, Sensing, Specialty crop

W. S. Lee; V. Alchanatis; C. Yang; M. Hirafuji; D. Moshou; C. Li

2010-10-01T23:59:59.000Z

385

Nebraska shows potential to produce biofuel crops | Department of Energy  

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

Nebraska shows potential to produce biofuel crops Nebraska shows potential to produce biofuel crops Nebraska shows potential to produce biofuel crops December 9, 2009 - 11:12am Addthis Joshua DeLung What are the key facts? Utilizing sites in Nevada that are currently used as buffers around roads for biofuel production instead could meet up to 22 percent of the state's energy requirements. That's 11 times the energy the state currently produces from biomass. Nebraska is known for its rolling cornfields in America's heartland, and agriculture is so thick in the state that people there can smell the fresh produce in the air. Many more in the U.S. might end up tasting the hearty vegetables as well. But one concern about new technologies that use crops for fuel is that those crops, and the land on which they're grown,

386

Crops reap benefits of Pantex irrigation system | National Nuclear Security  

National Nuclear Security Administration (NNSA)

Crops reap benefits of Pantex irrigation system | National Nuclear Security Crops reap benefits of Pantex irrigation system | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog The National Nuclear Security Administration Crops reap benefits of Pantex irrigation system Home > content > Crops reap benefits of Pantex irrigation system Crops reap benefits of Pantex irrigation system

387

Nebraska shows potential to produce biofuel crops | Department of Energy  

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

Nebraska shows potential to produce biofuel crops Nebraska shows potential to produce biofuel crops Nebraska shows potential to produce biofuel crops December 9, 2009 - 11:12am Addthis Joshua DeLung What are the key facts? Utilizing sites in Nevada that are currently used as buffers around roads for biofuel production instead could meet up to 22 percent of the state's energy requirements. That's 11 times the energy the state currently produces from biomass. Nebraska is known for its rolling cornfields in America's heartland, and agriculture is so thick in the state that people there can smell the fresh produce in the air. Many more in the U.S. might end up tasting the hearty vegetables as well. But one concern about new technologies that use crops for fuel is that those crops, and the land on which they're grown,

388

Efficient crop type mapping based on remote sensing in the Central Valley, California  

E-Print Network (OSTI)

based approach to map crop types in the San Joaquin Valley,focus on the solutions of identifying these crop types orcategories when crop mapping is extended to a larger extent

Zhong, Liheng

2012-01-01T23:59:59.000Z

389

Toxic hazards of the industrial atmospheric pollutant sulphur dioxide on tree crops  

E-Print Network (OSTI)

most important perennial tree crop of Kerala, which plays aeconomy, is the major tree crop in and around factories ofsulphur dioxide on tree crops such as coconut. The study

Rani, B Dr.

2009-01-01T23:59:59.000Z

390

Drought-tolerant Biofuel Crops could be a Critical Hedge for Biorefineries  

E-Print Network (OSTI)

Canopy Temperature as a Crop Water-Stress Indicator. WaterM.S. , et al. , Estimating Crop Water-Deficit Using theNations (FAO), N.R.a.E. , Crop evapotrasporation - Guidlines

Morrow, III, William R.

2013-01-01T23:59:59.000Z

391

Ozone reduces crop yields and alters competition with weeds such as yellow nutsedge  

E-Print Network (OSTI)

DT (eds. ). Assessment of Crop Loss from Air Pollutants:Ambient ozone and adverse crop re- sponse: An evaluation ofthe effects of ozone on crops and trees. In: Lefohn AS (

Grantz, David A.; Shrestha, Anil

2005-01-01T23:59:59.000Z

392

Dynamics of lettuce drop incidence and Sclerotinia minor inoculum under varied crop rotations  

E-Print Network (OSTI)

Koike, S. T. 1998. Effects of crop rotation and irrigationImplications for yield and crop rotation. Asp. Appl. Biol.minor Inoculum Under Varied Crop Rotations J. J. Hao and K.

Hao, J J; Subbarao, K V

2006-01-01T23:59:59.000Z

393

The Critical Zinc Deficiency Levels in Indian Soils and Cereal Crops  

E-Print Network (OSTI)

Banerjee, N.K. 1986 Field Crops Res. 13: 55-61. 9. Singh,Singh, Kuldeep 1984 Field Crops Res, 9: 143-149. 7. Singh,than any other group of crops, suffer from Zn deficiency,

Kuldeep, Singh - -

2009-01-01T23:59:59.000Z

394

Sudex cover crops can kill and stunt subsequent tomato, ?lettuce and broccoli transplants through allelopathy  

E-Print Network (OSTI)

Article t Sudex cover crops can kill and stunt subsequentJ. Stapleton Grass cover crops can be harvested for biomassmay affect subsequent crops. We stud- ied the effects of

Summers, Charles G.; Mitchell, Jeffrey P.; Prather, Timothy S.; Stapleton, James J.

2009-01-01T23:59:59.000Z

395

Impact of tillage and crop rotation on aggregate-associated carbon in two oxisols  

E-Print Network (OSTI)

Oades. 1980. The effect of crop rotation on aggregation in aand J.H. Long. 1990. Crop rotation and tillage effects onImpact of Tillage and Crop Rotation on Aggregate-Associated

2005-01-01T23:59:59.000Z

396

Crop growth as influenced by Zinc and organic matter in Cadmium-rich polluted soils  

E-Print Network (OSTI)

in the soil as well as the crop plants, which affect theamount of Pb, Ni and Cd in crops in sewage irrigated areastubers and lowest in cereal crops (Setia et al. 1998). A

Talatam, Satyanarayana; talatam, satyanarayana; Parida, Binaya Kumar

2009-01-01T23:59:59.000Z

397

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

4 End Uses of Fuel Consumption, 2006; 4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

398

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

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

2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" 2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." ,,,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel Firing",,,," " "NAICS" "Code(a)","Subsector and Industry","Establishments(b)","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know","In Use(e)","Not in Use","Don't Know"

399

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3

400

Impacts of Future Climate Change on California Perennial Crop Yields: Model Projections with Climate and Crop Uncertainties  

DOE Green Energy (OSTI)

Most research on the agricultural impacts of climate change has focused on the major annual crops, yet perennial cropping systems are less adaptable and thus potentially more susceptible to damage. Improved assessments of yield responses to future climate are needed to prioritize adaptation strategies in the many regions where perennial crops are economically and culturally important. These impact assessments, in turn, must rely on climate and crop models that contain often poorly defined uncertainties. We evaluated the impact of climate change on six major perennial crops in California: wine grapes, almonds, table grapes, oranges, walnuts, and avocados. Outputs from multiple climate models were used to evaluate climate uncertainty, while multiple statistical crop models, derived by resampling historical databases, were used to address crop response uncertainties. We find that, despite these uncertainties, climate change in California is very likely to put downward pressure on yields of almonds, walnuts, avocados, and table grapes by 2050. Without CO{sub 2} fertilization or adaptation measures, projected losses range from 0 to >40% depending on the crop and the trajectory of climate change. Climate change uncertainty generally had a larger impact on projections than crop model uncertainty, although the latter was substantial for several crops. Opportunities for expansion into cooler regions are identified, but this adaptation would require substantial investments and may be limited by non-climatic constraints. Given the long time scales for growth and production of orchards and vineyards ({approx}30 years), climate change should be an important factor in selecting perennial varieties and deciding whether and where perennials should be planted.

Lobell, D; Field, C; Cahill, K; Bonfils, C

2006-01-10T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

Biomass crops can be used for biological disinfestation and remediation of soils and water  

E-Print Network (OSTI)

as biomass crops for biofuel production also possess prop-candidate species for biofuel production are taxonomicallyof switching from food production crops to biofuel feedstock

Stapleton, James J; Banuelos, Gary

2009-01-01T23:59:59.000Z

402

Optimal compost rates for organic crop production based on a decay series.  

E-Print Network (OSTI)

?? One of the more challenging aspects of organic farming is the development of an appropriate fertility plan, which may include crop rotation, cover crops,… (more)

Endelman, Jeffrey B.

2009-01-01T23:59:59.000Z

403

Optimal Compost Rates for Organic Crop Production Based on a Decay Series.  

E-Print Network (OSTI)

??One of the more challenging aspects of organic farming is the development of an appropriate fertility plan, which may include crop rotation, cover crops, and/or… (more)

Endelman, Jeffrey B.

2009-01-01T23:59:59.000Z

404

ROW BY ROW METHODS FOR SEMIDEFINITE PROGRAMMING ...  

E-Print Network (OSTI)

Apr 28, 2009 ... Research supported in part by NSF Grant DMS. 06-06712, ONR Grant N00014- 08-1-1118 and DOE Grant DE-FG02-08ER58562. 1 ...

405

Bioenergy crop models: Descriptions, data requirements and future challenges  

SciTech Connect

Field studies that address the production of lignocellulosic biomass as a source of renewable energy provide critical data for the development of bioenergy crop models. A literature survey revealed that 14 models have been used for simulating bioenergy crops including herbaceous and woody bioenergy crops, and for crassulacean acid metabolism (CAM) crops. These models simulate field-scale production of biomass for switchgrass (ALMANAC, EPIC, and Agro-BGC), miscanthus (MISCANFOR, MISCANMOD, and WIMOVAC), sugarcane (APSIM, AUSCANE, and CANEGRO), and poplar and willow (SECRETS and 3PG). Two models are adaptations of dynamic global vegetation models and simulate biomass yields of miscanthus and sugarcane at regional scales (Agro-IBIS and LPJmL). Although it lacks the complexity of other bioenergy crop models, the environmental productivity index (EPI) is the only model used to estimate biomass production of CAM (Agave and Opuntia) plants. Except for the EPI model, all models include representations of leaf area dynamics, phenology, radiation interception and utilization, biomass production, and partitioning of biomass to roots and shoots. A few models simulate soil water, nutrient, and carbon cycle dynamics, making them especially useful for assessing the environmental consequences (e.g., erosion and nutrient losses) associated with the large-scale deployment of bioenergy crops. The rapid increase in use of models for energy crop simulation is encouraging; however, detailed information on the influence of climate, soils, and crop management practices on biomass production is scarce. Thus considerable work remains regarding the parameterization and validation of process-based models for bioenergy crops; generation and distribution of high-quality field data for model development and validation; and implementation of an integrated framework for efficient, high-resolution simulations of biomass production for use in planning sustainable bioenergy systems.

Nair, S. Surendran [University of Tennessee, Knoxville (UTK); Kang, Shujiang [ORNL; Zhang, Xuesong [Pacific Northwest National Laboratory (PNNL); Miguez, Fernando [Iowa State University; Izaurralde, Dr. R. Cesar [Pacific Northwest National Laboratory (PNNL); Post, Wilfred M [ORNL; Dietze, Michael [University of Illinois, Urbana-Champaign; Lynd, L. [Dartmouth College; Wullschleger, Stan D [ORNL

2012-01-01T23:59:59.000Z

406

EFFICACY AND TIMING OF FUNGICIDES, BACTERICIDES, AND BIOLOGICALS for DECIDUOUS TREE FRUIT, NUT, STRAWBERRY, AND VINE CROPS 2010  

E-Print Network (OSTI)

Pome and stone fruit crops including almond; pistachio,NUT, STRAWBERRY, AND VINE CROPS ALMOND APPLE/PEAR APRICOTCrops ..

Adaskaveg, James E; Gubler, W D; Michailides, Themis J.; Holtz, Brent A.

2010-01-01T23:59:59.000Z

407

Short Rotation Woody Crops Program: Project summaries  

DOE Green Energy (OSTI)

This document is a compilation of summaries describing research efforts in the US Department of Energy's Short Rotation Woody Crops Program (SRWCP). The SRWCP is sponsored by DOE's Biofuels and Municipal Waste Technology Division and is field-managed at Oak Ridge National Laboratory. The SRWCP is an integrated basic research program with 18 field research projects throughout the United States. The overall objective of the program is to improve the productivity and increase the cost efficiency of growing and harvesting woody trees and shrubs. In a competitive technical review, 25 projects were chosen to form a new research program. Although some of the original projects have ended and new ones have begun, many of the long-term research projects still form the core of the SRWCP. This document contains individual summaries of each of the 18 research projects in the SRWCP from October 1985 to October 1986. Each summary provides the following information: name and address of the contracting institution, principal investigator, project title, current subcontract or grant number, period of performance, and annual funding through fiscal year 1986. In addition, each summary contains a brief description of the project rationale, objective, approach, status, and future efforts. A list of publications that have resulted from DOE-sponsored research follows many of the summaries.

Not Available

1986-11-01T23:59:59.000Z

408

Engineering Enzymes in Energy Crops: Conditionally Activated Enzymes Expressed in Cellulosic Energy Crops  

SciTech Connect

Broad Funding Opportunity Announcement Project: Enzymes are required to break plant biomass down into the fermentable sugars that are used to create biofuel. Currently, costly enzymes must be added to the biofuel production process. Engineering crops to already contain these enzymes will reduce costs and produce biomass that is more easily digested. In fact, enzyme costs alone account for $0.50-$0.75/gallon of the cost of a biomass-derived biofuel like ethanol. Agrivida is genetically engineering plants to contain high concentrations of enzymes that break down cell walls. These enzymes can be “switched on” after harvest so they won’t damage the plant while it’s growing.

None

2010-01-15T23:59:59.000Z

409

EIS-0481: Engineered High Energy Crop Programs Programmatic Environmental  

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

1: Engineered High Energy Crop Programs Programmatic 1: Engineered High Energy Crop Programs Programmatic Environmental Impact Statement EIS-0481: Engineered High Energy Crop Programs Programmatic Environmental Impact Statement Summary This Programmatic EIS (PEIS) will evaluate the potential environmental impacts of implementing one or more programs to catalyze the deployment of engineered high energy crops (EHECs). A main component of the proposed EHEC programs would be providing financial assistance to funding recipients, such as research institutions, independent contract growers, or commercial entities, for field trials to evaluate the performance of EHECs. Confined field trials may range in size and could include development-scale (up to 5 acres), pilot-scale (up to 250 acres), or demonstration-scale (up to 15,000

410

Drought has significant effect on corn crop condition, projected ...  

U.S. Energy Information Administration (EIA)

The corn crop in the affected region is a main feedstock for ethanol, ... out of a total supply of 14.2 billion ... Farmers took advantage of the relatively warm ...

411

Phenological Crop–Climate Models for Illinois, 1951–80  

Science Conference Proceedings (OSTI)

To examine whether crop climate modeling using data based on phonological stages is appropriate for identifying different climatic effects on corn yields, two phonological models and a model using monthly data are devised for portions of Illinois ...

Pradnya S. Dharmadhikari; David M. Sharpe; Wayne M. Wendland

1990-08-01T23:59:59.000Z

412

Soil Organic Carbon Sequestration by Tillage and Crop Rotation...  

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

Site Descriptions Soil Organic Carbon Sequestration by Tillage and Crop Rotation: A Global Data Analysis (Site Descriptions) West, T.O., and W.M. Post. 2002. Soil Organic Carbon...

413

Imaging Plant Viruses Could Yield New Ways to Safeguard Crops...  

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

of known plant viruses and are responsible for more than half the viral damage to crop plants throughout the world. New images of the viruses' structures, which were poorly...

414

Selection of herbaceous energy crops for the western corn belt  

DOE Green Energy (OSTI)

The ultimate economic feasibility of biomass depends on its cost of production and on the cost of competing fuels. The purpose of this research project is to evaluate the production costs of several combinations of species and management systems for producing herbaceous biomass for energy use in Iowa. Herbaceous biomass production systems have costs similar to other crop production systems, such as corn, soybean, and forages. Thus, the factors influencing the costs of producing dedicated biomass energy crops include technological factors such as the cultivation system, species, treatments, soil type, and site and economic factors such as input prices and use of fixed resources. In order to investigate how these production alternatives are influenced by soil resources, and climate conditions, two locations in Iowa, Ames and Chariton, with different soil types and slightly different weather patterns were selected for both the agronomic and economic analyses. Nine crops in thirteen cropping systems were grown at the two sites for five years, from 1988 to 1992. Some of the systems had multiple cropping or interplanting, using combinations of cool-season species and warm-season species, in order to meet multiple objectives of maximum biomass, minimal soil loss, reduced nitrogen fertilization or diminished pesticide inputs. Six of the systems use continuous monocropping of herbaceous crops with an emphasis on production. The seven other systems consist of similar crops, but with crop rotation and soil conservation considerations. While the erosion and other off-site effects of these systems is an important consideration in their overall evaluation, this report will concentrate on direct production costs only.

Anderson, I.C.; Buxton, D.R.; Hallam, J.A. [Iowa State Univ. of Science and Technology, Ames, IA (United States)

1994-05-01T23:59:59.000Z

415

Copula Based Stochastic Weather Generator as an Application for Crop Growth Models and Crop Insurance  

E-Print Network (OSTI)

Stochastic Weather Generators (SWG) try to reproduce the stochastic patterns of climatological variables characterized by high dimensionality, non-normal probability density functions and non-linear dependence relationships. However, conventional SWGs usually typify weather variables with unjustified probability distributions assuming linear dependence between variables. This research proposes an alternative SWG that introduces the advantages of the Copula modeling into the reproduction of stochastic weather patterns. The Copula based SWG introduces more flexibility allowing researcher to model non-linear dependence structures independently of the marginals involved, also it is able to model tail dependence, which results in a more accurate reproduction of extreme weather events. Statistical tests on weather series simulated by the Copula based SWG show its capacity to replicate the statistical properties of the observed weather variables, along with a good performance in the reproduction of the extreme weather events. In terms of its use in crop growth models for the ratemaking process of new insurance schemes with no available historical yield data, the Copula based SWG allows one to more accurately evaluate the risk. The use of the Copula based SWG for the simulation of yields results in higher crop insurance premiums from more frequent extreme weather events, while the use of the conventional SWG for the yield estimation could lead to an underestimation of risks.

Juarez Torres, Miriam 77-

2012-12-01T23:59:59.000Z

416

Development of an optical sensor for crop leaf chlorophyll content detection  

Science Conference Proceedings (OSTI)

Nitrogen content in crop leaf is an important indication for evaluating crop health and predicting crop yield. A normalized difference vegetation index (NDVI) is widely used as an indicator in estimating leaf nitrogen content in practice. How to effectively ... Keywords: Crop leaf nitrogen content, Hand-held instrument, In-field NDVI measurement, Lower cost design

Di Cui; Minzan Li; Qin Zhang

2009-12-01T23:59:59.000Z

417

Soil and water quality implications of production of herbaceous and woody energy crops  

DOE Green Energy (OSTI)

Field-scale studies in three physiographic regions of the Tennessee Valley in the Southeastern US are being used to address the environmental effects of producing biomass energy crops on former agricultural lands. Comparison of erosion, surface water quality and quantity, and subsurface movement of water and nutrients from woody crops, switchgrass and agricultural crops began with crop establishment in 1994. Nutrient cycling, soil physical changes, and productivity of the different crops are also being monitored at the three sites.

Tolbert, V.R. [Oak Ridge National Lab., TN (United States); Lindberg, J.E. [Oak Ridge Inst. of Science and Education, TN (United States); Green, T.H. [Alabama A and M Univ., Normal, AL (United States). Dept. of Plant and Soil Science] [and others

1997-10-01T23:59:59.000Z

418

Climate impacts on agriculture: Implications for crop production  

SciTech Connect

Changes in temperature, CO2, and precipitation under the scenarios of climate change for the next 30 years present a challenge to crop production. This review focuses on the impact of temperature, CO2, and ozone on agronomic crops and the implications for crop production. Understanding these implications for agricultural crops is critical for developing cropping systems resilient to stresses induced by climate change. There is variation among crops in their response to CO2, temperature, and precipitation changes and, with the regional differences in predicted climate, a situation is created in which the responses will be further complicated. For example, the temperature effects on soybean could potentially cause yield reductions of 2.4% in the South but an increase of 1.7% in the Midwest. The frequency of years when temperatures exceed thresholds for damage during critical growth stages is likely to increase for some crops and regions. The increase in CO2 contributes significantly to enhanced plant growth and improved water use efficiency; however, there may be a downscaling of these positive impacts due to higher temperatures plants will experience during their growth cycle. A challenge is to understand the interactions of the changing climatic parameters because of the interactions among temperature, CO2, and precipitation on plant growth and development and also on the biotic stresses of weeds, insects, and diseases. Agronomists will have to consider the variations in temperature and precipitation as part of the production system if they are to ensure the food security required by an ever increasing population.

Hatfield, Jerry L.; Boote, Kenneth J.; Kimball, B. A.; Ziska, Lewis A.; Izaurralde, Roberto C.; Ort, Don; Thomson, Allison M.; Wolfe, David W.

2011-04-19T23:59:59.000Z

419

Environmental effects of growing short-rotation woody crops on former agricultural lands  

DOE Green Energy (OSTI)

Field-scale studies in the Southeast have been addressing the environmental effects of converting agricultural lands to biomass crop production since 1994. Erosion, surface water quality and quantity and subsurface movement of water and nutrients from woody crops, switchgrass and agricultural crops are being compared. Nutrient cycling, soil physical changes and crop productivity are also being monitored at the three sites. Maximum sediment losses occurred in the spring and fall. Losses were greater from sweetgum planted without a cover crop than with a cover crop. Nutrient losses of N and P in runoff and subsurface water occurred primarily after spring fertilizer application.

Tolbert, V.R. [Oak Ridge National Lab., TN (United States); Thornton, F.C.; Joslin, J.D. [Tennessee Valley Authority, Muscle Shoals, AL (United States). Atmospheric Sciences Div.] [and others

1997-10-01T23:59:59.000Z

420

ORECCL - Summary of a national database on energy crop landbase, yields, and costs  

DOE Green Energy (OSTI)

The Biofuels Feedstock Development Program at Oak Ridge National Laboratory has developed a county-level database on energy crops-the Oak Ridge Energy Crop County-Level database (RECCL). This database encompasses all U.S. counties and provides easy access to energy crop information specific to a state or county. The database contains predictions of energy crop yields and farmgate prices along with county-level data on the acreage of land suitable for energy crop production. This paper describes the database and presents state-level summary statistics on land suitable for energy crop production and average predicted yields and farmgate prices.

Graham, R.L.; Allison, L.J. [Oak Ridge National Lab., TN (United States); Becker, D.A. [Science Applications International Corp., Oak Ridge, TN (United States)

1997-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

" Row: NAICS Codes;" " ...  

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

Only","Other than","and","Any","from Only","Other than","and" "Code(a)","Subsector and Industry","Electricity(b)","Local Utility(c)","Local Utility(d)","Other Sources","Natural...

422

" Row: End Uses;"  

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

" Conventional Boiler Use",3199,12,4,1271,2,11,5.6 " CHP andor Cogeneration Process",3515,8,2,834,"*",23,3.8 "Direct Uses-Total Process",768929,10,7,2907,16,17...

423

" Row: End Uses;"  

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

Fuel",12979,7,3,2074,3,26 " Conventional Boiler Use",12979,3,1,712,1,3 " CHP andor Cogeneration Process","--",4,3,1362,2,23 "Direct Uses-Total Process",675152,4,9,2549,7,13 "...

424

" Row: End Uses;"  

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

l",84,133,23,2119,8,547 " Conventional Boiler Use",84,71,17,1281,8,129 " CHP andor Cogeneration Process",0,62,6,838,1,417 "Direct Uses-Total Process",2639,62,52,2788,39,412 "...

425

Evaluation of herbacceous biomass crops in the northern Great Plains. Final report  

DOE Green Energy (OSTI)

Herbaceous lignocellulose crops are a potential renewable feedstock for biochemical conversion systems second in size to wood products. Several herbaceous crops are utilized as forage crops in the northern Great Plains, but forage quality considerations usually dictates a early harvest. Biomass cropping does not have this constraint; therefore, little information was available on herbaceous crops utilized as energy crops prior to this project. Our primary objectives were to evaluate the biomass yield and select chemical components of several herbaceous crops for energy crops in the northern Great Plains, compare the economic feasibility of energy crops with common competing crops, and evaluate biomass cropping on summer fallow lands. Three good, two marginal, and one irrigated sites were used during 1988 to 1992 for the first component. At least six perennial and four annual biomass species were included at all sites. Three to four nitrogen (N) levels and a crop-recrop comparison (annuals only) were management intensities included. Biomass cropping on idled lands was performed on dryland at Carrington and evaluated the effects of removing leguminous biomass on fallowed lands. This report summarizes results from the 5-year project.

Meyer, D.W.; Norby, W.E.; Erickson, D.O.; Johnson, R.G. [North Dakota State Univ., Fargo, ND (United States)

1994-08-01T23:59:59.000Z

426

Multiobjective hierarchical control architecture for greenhouse crop growth  

Science Conference Proceedings (OSTI)

The problem of determining the trajectories to control greenhouse crop growth has traditionally been solved by using constrained optimization or applying artificial intelligence techniques. The economic profit has been used as the main criterion in most ... Keywords: Agriculture, Hierarchical systems, Optimization methods, Process control, Yield optimization

A. Ramírez-Arias; F. Rodríguez; J. L. Guzmán; M. Berenguel

2012-03-01T23:59:59.000Z

427

Short rotation wood crops program: Annual progress report for 1986  

DOE Green Energy (OSTI)

This report describes accomplishments in the Short Rotation Woody Crops Program (SRWCP) for the year ending September 30, 1986. The program is sponsored by the US Department of Energy's Biofuels and Municipal Waste Technology Division and consists of research projects at 29 institutions and corporations. The SRWCP is an integrated program of research and development devoted to a single objective: improving the productivity, cost efficiency, and fuel quality of wood energy crops as feedstocks for conversion to liquid and gaseous fuels. SRWCP directives have shifted from species-screening and productivity evaluations to large-scale viability trials of model species selected for their productivity potential and environmental compatibility. Populus was chosen the lead genera of five model species, and initial steps were taken toward organizing a Populus Research Consortium. Production yields from SRWCP research plots and coppice studies are discussed along with new efforts to model growth results and characteristics on a tree and stand basis. Structural and chemical properties of short-rotation intensive culture wood have been evaluated to determine the desirability of species traits and the potential for genetic improvements. Innovative wood energy crop handling techniques are presented as significant cost reduction measures. The conclusion is that new specialized wood energy crops can be feasible with the advances that appear technically possible over the next 10 years. 34 refs., 9 figs., 7 tabs.

Ranney, J.W.; Wright, L.L.; Layton, P.A.; McNabb, W.A.; Wenzel, C.R.; Curtin, D.T.

1987-11-01T23:59:59.000Z

428

Crop residue conversion to biogas by dry fermentation  

Science Conference Proceedings (OSTI)

A simple 'dry fermentation' process has been developed that may enable economical conversion of drier crop residues to biogas. Results from two years of process definition and scale-up to a 110 m/sup 3/ prototype show that biogas production rates exceeding those necessary to make the dry fermentor competitive have been achieved. 13 refs.

Jewell, W.J.; Dell'Orto, S.; Fanfoni, K.J.; Fast, S.J.; Jackson, D.A.; Kabrick, R.M.; Gottung, E.J.

1981-01-01T23:59:59.000Z

429

Lignocellulosic Biofuels from New Bioenergy Crops Federal Initiative Accomplishments  

E-Print Network (OSTI)

Lignocellulosic Biofuels from New Bioenergy Crops Federal Initiative Accomplishments 2009 Lead lignocellulosic "drop-in" biofuels. "Drop-in" means they are compatible with the existing petroleum refining and distribution infrastructure. With this project Texas can become a leader in biofuels production

430

Purpose-designed Crop Plants for Biofuels BIOENERGY PROGRAM  

E-Print Network (OSTI)

Purpose-designed Crop Plants for Biofuels BIOENERGY PROGRAM The Texas AgriLife Research Center for the biofuels industry. This program recognizes that the ideal combination of traits required for an economically and energetically sustainable biofuels industry does not yet exist in a single plant spe- cies

431

QuarkNet/Walta/CROP Cosmic Ray Detectors  

E-Print Network (OSTI)

QuarkNet/Walta/CROP Cosmic Ray Detectors User's Manual Jeff Rylander and Tom Jordan, Fermilab R. J. Project Development Team Fermilab: Sten Hansen, Tom Jordan, Terry Kiper Univeristy of Nebraska: Dan Claes energies. However, it is possi- ble to do high-energy physics in your school without a particle accelerator

California at Santa Cruz, University of

432

Ethiopian Highlands Crop-Climate Prediction: 1979–2009  

Science Conference Proceedings (OSTI)

This study compares different methods of predicting crop-related climate in the Ethiopian highlands for the period 1979–2009. A target index (ETH4) is developed as an average of four variables in the June–September season—rainfall, rainfall minus ...

Mark R. Jury

2013-05-01T23:59:59.000Z

433

Non-Traditional Soil Additives: Can They Improve Crop Production?  

E-Print Network (OSTI)

Non-traditional soil additives include soil conditioners such as organic materials and minerals, soil activators that claim to stimulate soil microbes or inoculate soil with new beneficial organisms, and wetting agents that may be marketed to improve crop yields. As this publication advises, growers should evaluate such products carefully and conduct field trials to determine their merit.

McFarland, Mark L.; Stichler, Charles; Lemon, Robert G.

2002-06-26T23:59:59.000Z

434

Interactive Crop Management in the Community Earth System Model (CESM1): Seasonal Influences on Land–Atmosphere Fluxes  

Science Conference Proceedings (OSTI)

The Community Earth System Model, version 1 (CESM1) is evaluated with two coupled atmosphere–land simulations. The CTRL (control) simulation represents crops as unmanaged grasses, while CROP represents a crop managed simulation that includes ...

Samuel Levis; Gordon B. Bonan; Erik Kluzek; Peter E. Thornton; Andrew Jones; William J. Sacks; Christopher J. Kucharik

2012-07-01T23:59:59.000Z

435

Comparison of Crop Rotation for Verticillium Wilt Management and Effect on Pythium Species in Conventional and Organic Strawberry Production  

E-Print Network (OSTI)

Koike, S. T. 1998. Effects of crop rotation and irrigationwww.apsnet.org Comparison of Crop Rotation for VerticilliumK. V. 2009. Comparison of crop rotation for Verticillium

Subbarao, Krishna V

2009-01-01T23:59:59.000Z

436

How ancient agriculturalists managed yield fluctuations through crop selection and reliance on wild plants: An example from central India  

E-Print Network (OSTI)

of land under the principal crops grown in the Centraland the loss of Amazonian crop genetic resources. I. TheEngland. Howard, A. 1924. Crop production in India. Humphrey

Smith, Monica L.

2006-01-01T23:59:59.000Z

437

Crop–Climate Modeling Using Spatial Patterns of Yield and Climate. Part 1: Background and an Example from Australia  

Science Conference Proceedings (OSTI)

A new technique in statistical crop-climate analysis, the direct linking of spatial patterns of crop yield and spatial patterns of climate, is explored. Yield and climate data from networks of crop reporting districts and meteorological stations ...

T. M. L. Wigley; Tu Qipu

1983-11-01T23:59:59.000Z

438

Regulating the Regulators: The Increased Role for the Federal Judiciary in Monitoring the Debate over Genetically Modified Crops  

E-Print Network (OSTI)

Links Europe's Ban on Bio-Crops With Hunger, N.Y. TIMES, MayRichmond, Genetically Modified Crops in the Philippines: Canw]hat Monsanto [a GM crop producer] wished for from

Denton, Blake

2007-01-01T23:59:59.000Z

439

Effects of irrigation on crops and soils with Raft River geothermal water  

DOE Green Energy (OSTI)

The Raft River Irrigation Experiment investigated the suitability of using energy-expended geothermal water for irrigation of selected field-grown crops. Crop and soil behavior on plots sprinkled or surface irrigated with geothermal water was compared to crop and soil behavior on plots receiving water from shallow irrigation wells and the Raft River. In addition, selected crops were produced, using both geothermal irrigation water and special management techniques. Crops irrigated with geothermal water exhibited growth rates, yields, and nutritional values similar to comparison crops. Cereal grains and surface-irrigated forage crops did not exhibit elevated fluoride levels or accumulations of heavy metals. However, forage crops sprinkled with geothermal water did accumulate fluorides, and leaching experiments indicate that new soils receiving geothermal water may experience increased salinity, exchangeable sodium, and decreased permeability. Soil productivity may be maintained by leaching irrigations.

Stanley, N.E.; Schmitt, R.C.

1980-01-01T23:59:59.000Z

440

Scientists, growers assess trade-offs in use of tillage, cover crops and compost  

E-Print Network (OSTI)

depth depth depth depth compost was added two times perConv. crops were present. Compost was ap- Main effect Fof tillage, cover crops and compost Louise E. Jackson Irenee

2003-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

Impact of Climate Change on Crop Yield: A Case Study of Rainfed Corn in Central Illinois  

Science Conference Proceedings (OSTI)

This paper assesses the effect of climate change on crop yield from a soil water balance perspective. The uncertainties of regional-scale climate models, local-scale climate variability, emissions scenarios, and crop growth models are combined to ...

Ximing Cai; Dingbao Wang; Romain Laurent

2009-09-01T23:59:59.000Z

442

Bioenergy crop models: Descriptions, data requirements and future challenges  

SciTech Connect

Field studies that address the production of lignocellulosic biomass as a potential source of renewable energy are making available critical information for the development, validation, and use of bioenergy crop models. A literature survey revealed that 14 models have been developed and validated for herbaceous and woody bioenergy crops, and for Crassulacean acid metabolism (CAM) crops adapted to arid lands. These models simulate field-scale production of biomass for switchgrass (ALMANAC, EPIC, and Agro-BGC), miscanthus (MISCANFOR, MISCANMOD, and WIMOVAC), sugarcane (APSIM, AUSCANE, and CANEGRO), and poplar and willow (SECRETS and 3PG). Two models are adaptations of dynamic global vegetation models and simulate biomass yields of miscanthus and sugarcane as plant function types at regional scales (Agro-IBIS and LPJmL). A model of biomass production in CAM plants has been developed (EPI), but lacks the sophistication of the other models. Except for CAM plants, all the models include representations of leaf area dynamics, radiation interception and utilization, biomass production, and partitioning of biomass to roots and shoots. A few of the models are capable of simulating soil water, nutrient, and carbon cycle processes, making them especially useful for assessing environmental consequences (e.g., erosion and nutrient losses) associated with the field-scale deployment of bioenergy crops. Similar to other process-based models, simulations are challenged by computing and data management issues and an integrated framework for model testing and inter-comparison is needed. Considerable work remains concerning the development of models for unconventional bioenergy crops like CAM plants, generation and distribution of high-quality field data for model development and validation, and development of an integrated framework for efficient execution of large-scale simulations for use in planning regional to global sustainable bioenergy production systems.

Surendran Nair, Sujith; Kang, Shujiang; Zhang, Xuesong; Miguez, Fernando; Izaurralde, Roberto C.; Post, W. M.; Dietze, Michael; Lynd, Lee R.; Wullschleger, Stan D.

2012-03-15T23:59:59.000Z

443

OUTLOOK: Specialty crops and methyl bromide alternatives: Taking stock after 7 years  

E-Print Network (OSTI)

finding alternatives to Outlook Specialty crops and methylNumber 3 Steve Fennimore Outlook Non-fumigant approaches to

Browne, Greg T

2013-01-01T23:59:59.000Z

444

A LIDAR-based crop height measurement system for Miscanthus giganteus  

Science Conference Proceedings (OSTI)

The objective of this research was to develop a stem height measurement system for Miscanthus giganteus (MxG), to be used as a component in a future Look Ahead Yield Monitor (LAYM). For this purpose, a SICK(R) LMS 291 LIght Detection And Ranging (LIDAR) ... Keywords: Crop height, Crop sensor, Energy crop, Laser scanner, Plant phenotype, Yield monitor

Lei Zhang; Tony E. Grift

2012-07-01T23:59:59.000Z

445

A Study on the Bioenergy Crop Production Function of Land Use in China  

Science Conference Proceedings (OSTI)

Based on the analysis of the bioenergy crop production function of land use, combined with the current situation of Chinese land use, this paper analyzes and discusses the cultivation of energy plants and the bioenergy crop production function of land ... Keywords: Land use, Bioenergy crop production function, farmers income

Zhang Kun; Duan Jiannan; Yang Jun; Li Ping

2011-03-01T23:59:59.000Z

446

Original paper: Development of an integrated Cropland and Soil Data Management system for cropping system applications  

Science Conference Proceedings (OSTI)

Most cropping system models and decision support tools are structured for site-specific (i.e. field- or point-based) simulation and analysis. As the need grows for analyses on crop production and management at local, county, state, national, and even ... Keywords: Cropland Data Layer, Cropping system, Database management system, Geographic Information System (GIS), Map service, SSURGO, Soil data

Yubin Yang; Lloyd Ted Wilson; Jing Wang; Xiaobao Li

2011-03-01T23:59:59.000Z

447

Genomics assisted design of training populations of perennial forage and biofuel crops for predicting breeding value  

E-Print Network (OSTI)

and biofuel crops for predicting breeding value Supervisors: Leif Skøt (IBERS), Gancho improvement of crops for food, feedstock and biofuel is an urgent priority to meet with respect to training populations in perennial forage and biofuel crops, specifically

Millar, Andrew J.

448

A GIS-based approach to evaluate biomass potential from energy crops at regional scale  

Science Conference Proceedings (OSTI)

The aim of the paper is to propose a method to maximize energy production from arboreous and herbaceous dedicated crops given the characteristics of the local environment: geo-morphology, climate, natural heritage, current land use. The best energy crops ... Keywords: Agricultural land, Carbon mitigation, Energy crops, GIS, Land use, Spatial analysis

Giulia Fiorese; Giorgio Guariso

2010-06-01T23:59:59.000Z

449

Relating United States Crop Land Use to Natural Resources and Climate Change  

Science Conference Proceedings (OSTI)

Crop production depends not only on the yield but also on the area harvested. The yield response to climate change has been widely examined, but the sensitivity of crop land use to hypothetical climate change has not been examined directly. Crop ...

K. G. Hubbard; F. J. Flores-mendoza

1995-02-01T23:59:59.000Z

450

Regional crop monitoring and discrimination based on simulated ENVISAT ASAR wide swath mode images  

Science Conference Proceedings (OSTI)

The current paper investigates the potential contribution of ENVISAT wide swath (WS) images for discrimination and monitoring of crops at a regional scale. The study was based on synthetic aperture radar (SAR) images acquired throughout an entire growing ... Keywords: Coarse spatial resolution, Crop discrimination, Crop monitoring, ENVISAT, Synthetic aperture radar, Wide swath-ASAR

X. Blaes; F. Holecz; H. J. C. van Leeuwen; P. Defourny

2007-01-01T23:59:59.000Z

451

Effect of crop residue harvest on long-term crop yield, soil erosion, and carbon balance: tradeoffs for a sustainable bioenergy feedstock  

SciTech Connect

Agricultural residues are a potential feedstock for bioenergy production, if residue harvest can be done sustainably. The relationship between crop residue harvest, soil erosion, crop yield and carbon balance was modeled with the Erosion Productivity Impact Calculator/ Environment Policy Integrated Climate (EPIC) using a factorial design. Four crop rotations (winter wheat [Triticum aestivum (L.)] – sunflower [Helianthus annuus]; spring wheat [Triticum aestivum (L.)] – canola [Brassica napus]; corn [Zea mays L.] – soybean [Glycine max (L.) Merr.]; and cotton [Gossypium hirsutum] – peanut [Arachis hypogaea]) were simulated at four US locations each, under different topographies (0-10% slope), and management practices [crop residue removal rates (0-75%), conservation practices (no till, contour cropping, strip cropping, terracing)].

Gregg, Jay S.; Izaurralde, Roberto C.

2010-08-26T23:59:59.000Z

452

EFFICACY AND TIMING OF FUNGICIDES,BACTERICIDES, AND BIOLOGICALS for DECIDUOUS TREE FRUIT, NUT, STRAWBERRY, AND VINE CROPS 2010 (rev. April 1, 2010)  

E-Print Network (OSTI)

Pome and stone fruit crops including almond; pistachio,NUT, STRAWBERRY, AND VINE CROPS ALMOND APPLE/PEAR APRICOTCrops ..

Adaskaveg, J E; Gubler, W D; Michailides, Themis J.; Holtz, Brent A.

2010-01-01T23:59:59.000Z

453

Essays on the Impact of Climate Change and Building Codes on Energy Consumption and the Impact of Ozone on Crop Yield  

E-Print Network (OSTI)

15.2 Crop yield14 Impact of ozone on crop yield 15 Data 15.1 Ozonecrop . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Aroonruengsawat, Anin

2010-01-01T23:59:59.000Z

454

Investigation of management strategies for the production of sweet sorghum as a bioenergy crop and preservation of crop residue by the ensiling process.  

E-Print Network (OSTI)

??The objective of this project was to investigate management practices for sweet sorghum as a bioenergy crop in Iowa and its storability as an ensiled… (more)

Cogdill, Todd Joseph

2008-01-01T23:59:59.000Z

455

Aligning Insect IPM Programs with a Cropping Systems Perspective: Cover Crops and Cultural Pest Control in Wisconsin Organic Corn and Soybean  

E-Print Network (OSTI)

This article presents a conversation among researcher, agroecology student, and farmers about the association between cover crops and seedcorn maggot in organic grain crops. Survey data showed that Wisconsin organic farmers would use cover crop management, insect degree day forecasting, and planting date cultural controls, given appropriate knowledge context and extension information provision. We developed electronic and print resources and engaged with farmers and educators nationally through the eOrganic Community of Practice. Project outcomes exemplify student and farmer ability to effect change in land grant university extension recommendations through integrated pest management content and delivery aligned with a cropping systems perspective.

Copyright Taylor; Francis Group; Eileen M. Cullen; Katelin M. Holm

2013-01-01T23:59:59.000Z

456

Top Crop Wind Farm (Phase II) | Open Energy Information  

Open Energy Info (EERE)

(Phase II) (Phase II) Jump to: navigation, search Name Top Crop Wind Farm (Phase II) Facility Top Crop Wind Farm (Phase II) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Horizon-EDPR Developer Horizon-EDPR Location Grundy County IL Coordinates 41.202313°, -88.530078° 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":41.202313,"lon":-88.530078,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

457

Potential supply and cost of biomass from energy crops in the TVA region  

DOE Green Energy (OSTI)

The economic and supply structures of energy crop markets have not been established. Establishing the likely price and supply of energy crop biomass in a region is a complex task because biomass is not an established commodity as are oil, natural gas, and coal. In this study, the cost and supply of short-rotation woody crop (SRWC) and switchgrass biomass for the Tennessee Valley Authority (TVA) region-a 276-county area that includes portions of 11 states in the southeastern United States - are projected. Projected prices and quantities of biomass are assumed to be a function of the amount and quality of crop and pasture land available in a region, expected energy crop yields and production costs on differing soils and land types, and the profit that could be obtained from current conventional crop production on these same lands. Results include the supply curves of SRWC and switchgrass biomass that are projected to be available from the entire region, the amount and location of crop and pasture land that would be used, and the conventional agricultural crops that would be displaced as a function of energy crop production. Finally, the results of sensitivity analysis on the projected cost and supply of energy crop biomass are shown. In particular, the separate impacts of varying energy crop production costs and yields, and interest rates are examined.

Graham, R.L.; Downing, M.E.

1995-04-01T23:59:59.000Z

458

Biomass fuel from woody crops for electric power generation  

DOE Green Energy (OSTI)

This report discusses the biologic, environmental, economic, and operational issues associated with growing wood crops in managed plantations. Information on plantation productivity, environmental issues and impacts, and costs is drawn from DOE`s Biofuels Feedstock Development as well as commercial operations in the US and elsewhere. The particular experiences of three countries--Brazil, the Philippines, and Hawaii (US)--are discussed in considerable detail.

Perlack, R.D.; Wright, L.L.; Huston, M.A.; Schramm, W.E.

1995-06-22T23:59:59.000Z

459

Prioritizing wood energy crop feedstock qualities for biofuel systems improvement  

SciTech Connect

Knowledge engineering or expert systems is needed in biofuel systems to adequately prioritize wood energy crop traits on which research and development should focus. Objectives at the various stages of the total biofuel process are clarifying the demands that will be placed on feedstock qualities. These objectives are forming more clearly from developments in the growing, handling, and conversion of wood under operational and regulatory circumstances. A process for systematic prioritization of wood qualities for possible improvement is presented in the content of the entire biofuel process.

Ranney, J.W.

1991-01-01T23:59:59.000Z

460

Prioritizing wood energy crop feedstock qualities for biofuel systems improvement  

SciTech Connect

Knowledge engineering or expert systems is needed in biofuel systems to adequately prioritize wood energy crop traits on which research and development should focus. Objectives at the various stages of the total biofuel process are clarifying the demands that will be placed on feedstock qualities. These objectives are forming more clearly from developments in the growing, handling, and conversion of wood under operational and regulatory circumstances. A process for systematic prioritization of wood qualities for possible improvement is presented in the content of the entire biofuel process.

Ranney, J.W.

1991-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "yr row crop" 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

Transgenic crops get a test in the wild  

Science Conference Proceedings (OSTI)

A novel British research program called PROSAMO - Planned Release of Selected and Modified Organisms - has just produced its first batch of results on the ecological behavior of a genetically manipulated variety of oil seed rape (known to Americans as canola). As expected, the preliminary data indicate that these plants do not outgrow their competitors in the wild, nor is there any evidence that they pass on their foreign genes to other species. PROSAMO is moving on to test other crops with other foreign genes. If these results are as reassuring, scientists around the world will have solid evidence with which to soothe fears.

Cherfas, J.

1991-02-22T23:59:59.000Z

462

Pioneering energy crops in the Midwest, project update: Chariton Valley  

DOE Green Energy (OSTI)

Biomass is a proven option for electricity generation. A diverse range of biopower producers includes electric utilities, independent power producers, and the pulp and paper industry. To help expand opportunities for biomass power production, the U.S. Department of Energy established the Biopower Program and is sponsoring efforts to increase the productivity of dedicated energy crops. The Program aims to double biomass conversion efficiencies, thus reducing biomass power generation costs. These efforts will promote industrial and agricultural growth, improve the environment, create jobs, increase U.S. energy security, and provide new export markets.

Shepherd, P.

2000-06-02T23:59:59.000Z

463

Pioneering energy crops in the Northeast, project update: Salix Consortium  

DOE Green Energy (OSTI)

Biomass is a proven option for electricity generation. A diverse range of biopower producers includes electric utilities, independent power producers, and the pulp and paper industry. To help expand opportunities for biomass power production, the U.S. Department of Energy established the Biopower Program and is sponsoring efforts to increase the productivity of dedicated energy crops. The Program aims to double biomass conversion efficiencies, thus reducing biomass power generation costs. These efforts will promote industrial and agricultural growth, improve the environment, create jobs, increase U.S. energy security, and provide new export markets.

Shepherd, P.

2000-06-02T23:59:59.000Z

464

Economic analysis of wind-powered crop drying. Final report  

DOE Green Energy (OSTI)

Potential applications of wind energy include not only large central turbines that can be utilized by utilities, but also dispersed systems for farms and other applications. The US Departments of Energy (DOE) and Agriculture (USDA) currently are establishing the feasibility of wind energy use in applications where the energy can be used as available, or stored in a simple form. These applications include production of hot water for rural sanitation, heating and cooling of rural structures and products, drying agricultural products, and irrigation. This study, funded by USDA, analyzed the economic feasibility of wind power in crop drying. Drying of corn, soybeans, rice, peanuts, tobacco, and dehydrated alfalfa were addressed.

Garling, W.S.; Harper, M.R.; Merchant-Geuder, L.; Welch, M.

1980-03-01T23:59:59.000Z

465

DOE grant to support enhanced biofuel crop design | ornl.gov  

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

& Discovery | Clean Energy | Research Highlights SHARE DOE grant to support enhanced biofuel crop design January 01, 2013 Xiaohan Yang works with a model plant for crassulacean...

466

The impact of mineral fertilizers on the carbon footprint of crop production  

E-Print Network (OSTI)

emissions in fertiliser production. IFS (The InternationalImpact of Agricultural Crop Production using the Life CycleN fertilizer rates in cereal production. Europ. J. Agronomy

Brentrup, Frank

2009-01-01T23:59:59.000Z

467

Lipids in seeds of oat (Avena spp.), a potential oil crop.  

E-Print Network (OSTI)

??New oil crops with high yield and oil content are urgently needed. Oat is the only cereal that accumulates substantial amount of lipids in the… (more)

Leonova, Svetlana

2013-01-01T23:59:59.000Z

468

Biomass crops can be used for biological disinfestation and remediation of soils and water  

E-Print Network (OSTI)

liquid biofuels from biomass: The writings on the walls. Newreduced feed intake. Biomass crop sustainability flexibilityMC, et al. 2009. Cali- fornia biomass resources, potentials,

Stapleton, James J; Banuelos, Gary

2009-01-01T23:59:59.000Z

469

DOE grant to support enhanced biofuel crop design | ornl.gov  

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

DOE grant to support enhanced biofuel crop design January 01, 2013 Xiaohan Yang works with a model plant for crassulacean acid metabolism (CAM) genomics research. January 2013....

470

Switchgrass is a promising, high-yielding crop for California biofuel  

E-Print Network (OSTI)

both as forage and as a biofuel crop, switchgrass may bepanic grass grown as a biofuel in southern England. Bioresfor switchgrass for biofuel systems. Biomass Bioenergy 30:

2011-01-01T23:59:59.000Z

471

Summer cover crops and soil amendments to improve growth and nutrient uptake of okra  

Science Conference Proceedings (OSTI)

A pot experiment with summer cover crops and soil amendments was conducted in two consecutive years to elucidate the effects of these cover crops and soil amendments on 'Clemson Spineless 80' okra (Abelmoschus esculentus) yields and biomass production, and the uptake and distribution of soil nutrients and trace elements. The cover crops were sunn hemp (Crotalaria juncea), cowpea (Vigna unguiculata), velvetbean (Mucuna deeringiana), and sorghum sudan-grass (Sorghum bicolor x S. bicolor var. sudanense) with fallow as the control. The organic soil amendments were biosolids (sediment from wastewater plants), N-Viro Soil (a mixture of biosolids and coal ash), coal ash (a combustion by-product from power plants), co-compost (a mixture of 3 biosolids: 7 yard waste), and yard waste compost (mainly from leaves and branches of trees and shrubs, and grass clippings) with a soil-incorporated cover crop as the control. As a subsequent vegetable crop, okra was grown after the cover crops, alone or together with the organic soil amendments, had been incorporated. All of the cover crops, except sorghum sudangrass in 2002-03, significantly improved okra fruit yields and the total biomass production. Both cover crops and soil amendments can substantially improve nutrient uptake and distribution. The results suggest that cover crops and appropriate amounts of soil amendments can be used to improve soil fertility and okra yield without adverse environmental effects or risk of contamination of the fruit. Further field studies will be required to confirm these findings.

Wang, Q.R.; Li, Y.C.; Klassen, W. [University of Florida, Homestead, FL (United States). Center for Tropical Research & Education

2006-04-15T23:59:59.000Z

472

Integrated nutrient managment for sustainable production of sorghum-wheat crop sequeence  

E-Print Network (OSTI)

Introduction Sorghum-(Sorghum bicolor) – Wheat (Triticum aestivum L.of the systems. More over sorghum-wheat crop sequence is an

Bhale, Vilas Madhukar Dr.

2009-01-01T23:59:59.000Z

473

The Multiple Peril Crop Insurance Actual Production History (APH) Insurance Plan  

E-Print Network (OSTI)

The Actual Production History insurance plan protects against crop losses from a number of causes. All aspects of this insurance are described, including reporting requirements for the producer.

Stokes, Kenneth; Barnaby, G. A. Art; Waller, Mark L.; Outlaw, Joe

2008-10-07T23:59:59.000Z

474

Food-Regional Crop Areas and Climatic Profiles | Data.gov  

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

Food-Regional Crop Areas and Climatic Profiles Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov Communities...

475

Biomass crops can be used for biological disinfestation and remediation of soils and water  

E-Print Network (OSTI)

useful as biomass crops for biofuel production also possesscandidate species for biofuel production are taxonomicallyDeleterious effects Biofuel (biodiesel, bioethanol),

Stapleton, James J; Banuelos, Gary

2009-01-01T23:59:59.000Z

476

TISSUE CULTURE AND TRANSFORMATION STUDIES OF JATROPHA CURCAS, A SECOND GENERATION BIOFUEL CROP.  

E-Print Network (OSTI)

??Jatropha curcas L. (Euphorbiaceae) is an important second generation biofuel crop. In a time when energy needs are coming to the forefront of our nation’s… (more)

Tabatabai, Behnam

2011-01-01T23:59:59.000Z

477

Microbial Diversity-Based Novel Crop Protection Products  

Science Conference Proceedings (OSTI)

Extremophilic microorganisms are adapted to survive in ecological niches with high temperatures, extremes of pH, high salt concentrations, high pressure, radiation, etc. Extremophiles produce unique biocatalysts and natural products that function under extreme conditions comparab le to those prevailing in various industrial processes. Therefore, there is burgeoning interest in bioprospecting for extremophiles with potential immediate use in agriculture, the food, chemical, and pharm aceutical industries, and environmental biotechnology. Over the years, several thousand extremophilic bacteria, archaea, and filamentous fungi were collected at extreme environmental sites in the USA, the Chernobyl Exclusion Zone surrounding the faeild nuclear power plant in Ukraine, in and around Lake Baikal in Siberia, and at geothermal sites on the Kamchatka peninsula in Russia. These organisms were cultured under proprietary conditions, and the cell- free supernatants were screened for biological activities against plant pathogenic fungi and major crop damaging insects. Promising peptide lead molecules were isolated, characterized, and sequenced. Relatively high hit rates characterized the tested fermentation broths. Of the 26,000 samples screened, over thousand contained biological activity of interest. A fair number of microorganisms expressed broad- spectrum antifungal or insecticidal activity. Two- dozen broadly antifungal peptides (AFPs) are alr eady patent protected, and many more tens are under further investigation. Tapping the gene pool of extremophilic microorganisms to provide novel ways of crop protection proved a successful strategy.

Pioneer Hi-Bred International Inc.; DuPont Experimental Station; Yalpani, Ronald Flannagan, Rafael Herrmann, James Presnail, Tamas Torok, and Nasser; Herrmann, Rafael; Presnail, James; Torok, Tamas; Yalpani, Nasser

2007-05-10T23:59:59.000Z

478

Microsoft Word - S07963_MND 5yr  

Office of Legacy Management (LM)

Community Notification and Involvement Community Notification and Involvement This page intentionally left blank U.S. Department of Energy Mound, Ohio, Third Five-Year Review September 2011 Doc. No. S07963 Page C-1 Mound, Ohio, Third Five-Year Review U.S. Department of Energy Doc. No. S07963 September 2011 Page C-2 U.S. Department of Energy Mound, Ohio, Third Five-Year Review September 2011 Doc. No. S07963 Page C-3 Mound, Ohio, Third Five-Year Review U.S. Department of Energy Doc. No. S07963 September 2011 Page C-4 U.S. Department of Energy Mound, Ohio, Third Five-Year Review September 2011 Doc. No. S07963 Page C-5 Mound, Ohio, Third Five-Year Review U.S. Department of Energy Doc. No. S07963 September 2011 Page C-6 U.S. Department of Energy Mound, Ohio, Third Five-Year Review

479

Microsoft Word - S07963_MND 5yr  

Office of Legacy Management (LM)

Site Inspection Checklist Site Inspection Checklist This page intentionally left blank Institutional Controls U.S. Department of Energy Mound, Ohio, Third Five-Year Review September 2011 Doc. No. S07963 Page B-1 Site Inspection Checklist I. SITE INFORMATION Site name: Mound Plant Site Date of inspection: April 12, 2011 Location and Region: Miamisburg, OH (Region 5) EPA ID: OH6890008984 Agency, office, or company leading the Five-Year Review: US Department of Energy Weather/temperature: Partly Cloudy - 50's Remedy Includes: (Check all that apply) â–¡ Landfill cover/containment â–¡ Monitored natural attenuation â–¡ Access controls â–¡ Groundwater containment X Institutional controls â–¡ Vertical barrier walls â–¡ Groundwater pump and treatment â–¡ Surface water collection and treatment

480

Microsoft Word - S07963_MND 5yr  

Office of Legacy Management (LM)

Third Five-Year Review for the Third Five-Year Review for the Mound, Ohio, Site Miamisburg, Ohio September 2011 LMS/MND/S07963 This page intentionally left blank This page intentionally left blank U.S. Department of Energy Mound, Ohio, Third Five-Year Review September 2011 Doc. No. S07963 Page i Contents Abbreviations ................................................................................................................................ vii Executive Summary ....................................................................................................................... ix Five-Year Review Summary Form ................................................................................................ xi 1.0 Introduction ............................................................................................................................1

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


481

Microsoft Word - S07963_MND 5yr  

Office of Legacy Management (LM)

Site Inspection Photographs Site Inspection Photographs This page intentionally left blank U.S. Department of Energy Mound, Ohio, Third Five-Year Review September 2011 Doc. No. S07963 Page A-i Contents 1.0 Parcel 6, 7, and 8 Remedy Wells and Seeps ..................................................................... A-1 2.0 OU-1 (Parcel 9) Wells ....................................................................................................... A-6 3.0 OU-1 Photographs ........................................................................................................... A-11 4.0 Phase I Remedy Wells and Seeps ................................................................................... A-13 5.0 Other Site Inspection Photos-T Building Inspection .................................................... A-18

482

Microsoft Word - S07963_MND 5yr  

Office of Legacy Management (LM)

MNA monitored natural attenuation mV millivolts nCiL nanocurie per liter NCP National Oil and Hazardous Substance Pollution Contingency Plan Mound, Ohio, Third Five-Year Review...

483

Weekly Weather and Crop Bulletin | Open Energy Information  

Open Energy Info (EERE)

Weekly Weather and Crop Bulletin Weekly Weather and Crop Bulletin Jump to: navigation, search Tool Summary Name: Weekly Weather and Crop Bulletin Agency/Company /Organization: United States Department of Agriculture, National Oceanic and Atmospheric Administration (NOAA) Sector: Land Focus Area: Agriculture Topics: GHG inventory, Resource assessment Resource Type: Maps Website: usda.mannlib.cornell.edu/MannUsda/viewDocumentInfo.do?documentID=1393 UN Region: Central Asia, Eastern Asia, South-Eastern Asia, "Pacific" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Latin America and Caribbean" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Western Asia & North Africa" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., Northern America, "South Asia" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Sub-Saharan Africa" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Western & Eastern Europe" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

484

Evidence for glyphosate damage of winter wheat depending on waiting-times after pre-crop glyphosate application and density of desiccated weed plants under field and experimental conditions  

E-Print Network (OSTI)

times for sowing after pre-crop glyphosate application aretimes before sowing of the subsequent crop resulted in muchstronger and longer lasting crop damage than the same amount

Bott, Sebastian; Lebender, Ulrike; Yoon, Duck-Joong; Tesfamariam, Tsehaye; Römheld, Volker; Neumann, Günter

2009-01-01T23:59:59.000Z

485

Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought  

Science Conference Proceedings (OSTI)

Crop growth models are increasingly used as part of research into areas such as climate change and bioenergy, so it is particularly important to understand the effects of environmental inputs on model results. Rather than investigating the effects of ... Keywords: Crop growth model, Drought, Input data, Parameterisation, Sensitivity analysis, Soil water

Mark Pogson; Astley Hastings; Pete Smith

2012-03-01T23:59:59.000Z

486

Tea Oil Camellia: a New Edible Oil Crop for the United States John M. Ruter  

E-Print Network (OSTI)

1 Tea Oil Camellia: a New Edible Oil Crop for the United States© John M. Ruter The University@uga.edu INTRODUCTION Camellia oleifera has been cultivated in China as a source of edible oil. oleifera as a commercial oil seed crop for the southeast (Ruter, 2002). Considerable research is being

Radcliffe, David

487

A GIS-based tool for modelling large-scale crop-water relations  

Science Conference Proceedings (OSTI)

Recent research on crop-water relations has increasingly been directed towards the application of locally acquired knowledge to answering the questions raised on larger scales. However, the application of the local results to larger scales is often questionable. ... Keywords: Crop water productivity, EPIC, GEPIC, Maize, Rice, Wheat

Junguo Liu

2009-03-01T23:59:59.000Z

488

South Carolina Pest Management Handbook for Field Crops -2013 SMALL GRAIN INSECT CONTROL  

E-Print Network (OSTI)

South Carolina Pest Management Handbook for Field Crops - 2013 196 SMALL GRAIN INSECT CONTROL Jay "exhaust pipes" protruding upward from rear end) increase during jointing and move to heads as they emerge Handbook for Field Crops - 2013 197 Pest Product Rate /acre Comments Cereal Leaf Beetle Baythroid XL

Stuart, Steven J.

489

Implications of Three Biofuel Crops for Beneficial Arthropods in Agricultural Landscapes  

E-Print Network (OSTI)

Implications of Three Biofuel Crops for Beneficial Arthropods in Agricultural Landscapes Mary A Science+Business Media, LLC. 2010 Abstract Production of biofuel feedstocks in agricultural landscapes and generalist natural enemies in three model biofuel crops: corn, switch- grass, and mixed prairie, we tested

Landis, Doug

490

Field validation of the DNDC model for greenhouse gas emissions in East Asian cropping systems  

E-Print Network (OSTI)

Field validation of the DNDC model for greenhouse gas emissions in East Asian cropping systems annual variations of greenhouse gas emissions from cropping systems and effects of land management a powerful tool for estimating greenhouse gas emissions from terrestrial ecosystems. INDEX TERMS: 1610 Global

491

2 SPRAY OILS--BEYOND 2000 Modern use of petroleum-derived oils as agricultural crop  

E-Print Network (OSTI)

of these products. Introduction Petroleum oils have been in use as crop protectants for over a hundred years of petroleum oils have re- sulted in the ability to virtually custom-manufacture effective oil products of vegetable and animal oils to certain crop protection needs. #12;3Agnello--Petroleum-derived spray oils

Agnello, Arthur M.

492

HORTICULTURAL & FOREST CROPS 2012 Regulations and Basic Information: Safe and Effective Use 1-1  

E-Print Network (OSTI)

& FOREST CROPS 2012 1-16 Regulations and Basic Information: Safe and Effective Use Please observe pesticideHORTICULTURAL & FOREST CROPS 2012 Regulations and Basic Information: Safe and Effective Use 1-1 Safe and Effective Use Patricia A. Hipkins, Assistant Coordinator, Virginia Tech Pesticide Programs

Liskiewicz, Maciej

493

Miscanthus: a fastgrowing crop for biofuels and chemicals production  

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

Correspondence to: Nicolas Brosse, Laboratoire d'Etude et de Recherche sur le MAteriau Bois, Faculté des Sciences et Techniques, Université de Lorraine, Bld des Aiguillettes, F-54500 Vandoeuvre-lès-Nancy, France. E-mail: Nicolas.Brosse@lermab.uhp-nancy.fr © 2012 Society of Chemical Industry and John Wiley & Sons, Ltd 1 Miscanthus: a fast- growing crop for biofuels and chemicals production Nicolas Brosse, Université de Lorraine, Vandoeuvre-lès-Nancy, France Anthony Dufour, CNRS, Université de Lorraine, Nancy, France Xianzhi Meng, Qining Sun, and Arthur Ragauskas, Georgia Institute of Technology, Atlanta, GA, USA Received February 9, 2012; revised April 17, 2012; accepted April 18, 2012 View online at Wiley Online Library (wileyonlinelibrary.com); DOI: 10.1002/bbb.1353;

494

Water on Crop Biomass and Soil Permeability FINAL TECHNICAL REPORT  

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

Irrigating with Treated Oil and Gas Product Irrigating with Treated Oil and Gas Product Water on Crop Biomass and Soil Permeability FINAL TECHNICAL REPORT Prepared By Terry Brown, Jeffrey Morris, Patrick Richards and Joel Mason Western Research Institute October 1, 2008 to September 1, 2010 DOE Award Number: DE-NT0005681 Report Issued December, 2010 Western Research Institute 365 N 9 th Street Laramie WY 82072 ii DOE 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 makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus,

495

Cost Methodology for Biomass Feedstocks: Herbaceous Crops and Agricultural Residues  

DOE Green Energy (OSTI)

This report describes a set of procedures and assumptions used to estimate production and logistics costs of bioenergy feedstocks from herbaceous crops and agricultural residues. The engineering-economic analysis discussed here is based on methodologies developed by the American Society of Agricultural and Biological Engineers (ASABE) and the American Agricultural Economics Association (AAEA). An engineering-economic analysis approach was chosen due to lack of historical cost data for bioenergy feedstocks. Instead, costs are calculated using assumptions for equipment performance, input prices, and yield data derived from equipment manufacturers, research literature, and/or standards. Cost estimates account for fixed and variable costs. Several examples of this costing methodology used to estimate feedstock logistics costs are included at the end of this report.

Turhollow Jr, Anthony F [ORNL; Webb, Erin [ORNL; Sokhansanj, Shahabaddine [ORNL

2009-12-01T23:59:59.000Z

496

Cropping Euler factors of modular L-functions  

E-Print Network (OSTI)

According to the Birch and Swinnerton-Dyer conjectures, if A/Q is an abelian variety then its L-function must capture substantial part of the arithmetic properties of A. The smallest number field L where A has all its endomorphisms defined must also have a role. This article deals with the relationship between these two objects in the specific case of modular abelian varieties A_f/Q associated to weight 2 newforms for the modular group Gamma_1(N). Specifically, our goal is to relate the order of L(A_f/Q,s) at s = 1 with Euler products cropped by the set of primes that split completely in L. The results we obtain for the case when f has complex multiplication are complete, while in the absence of CM, our results depend on the rate of convergence in Sato-Tate distributions.

Gonzalez, J; Lario, J -C

2010-01-01T23:59:59.000Z

497

Crop residues as a fuel for power generation  

DOE Green Energy (OSTI)

Crop residues could serve as an alternative energy source for producing electric power and heat in agricultural regions of the United States. Nearly 2 quads of residues are estimated to be available as a sustainable annual yield. These can substitute for up to one quad of conventional fuels used to generate electricity and up to an additional quad of petroleum and natural gas currently used for producing heat. The most promising routes to residue conversion appear to be regional generators sized in the megawatt range, and the mixing of residues with coal for burning in coal power plants. Costing farmers from $0.70 to $1.25 per million Btu, to harvest and prepare for use as a fuel, residues can be a competitive renewable energy supply.

Bhagat, N.; Davitian, H.; Pouder, R.

1979-07-01T23:59:59.000Z

498

Soil carbon inventories under a bioenergy crop (switchgrass): Measurement limitations  

Science Conference Proceedings (OSTI)

Approximately 5 yr after planting, coarse root carbon (C) and soil organic C (SOC) inventories were compared under different types of plant cover at four switchgrass (Panicum virgatum L.) production field trials in the southeastern USA. There was significantly more coarse root C under switchgrass (Alamo variety) and forest cover than tall fescue (Festuca arundinacea Schreb.), corn (Zea mays L.), or native pastures of mixed grasses. Inventories of SOC under switchgrass were not significantly greater than SOC inventories under other plant covers. At some locations the statistical power associated with ANOVA of SOC inventories was low, which raised questions about whether differences in SOC could be detected statistically. A minimum detectable difference (MDD) for SOC inventories was calculated. The MDD is the smallest detectable difference between treatment means once the variation, significance level, statistical power, and sample size are specified. The analysis indicated that a difference of {approx}50 mg SOC/cm{sup 2} or 5 Mg SOC/ha, which is {approx}10 to 15% of existing SOC, could be detected with reasonable sample sizes and good statistical power. The smallest difference in SOC inventories that can be detected, and only with exceedingly large sample sizes, is {approx}2 to 3%. These measurement limitations have implications for monitoring and verification of proposals to ameliorate increasing global atmospheric CO{sub 2} concentrations by sequestering C in soils.

Garten, C.T. Jr.; Wullschleger, S.D.

1999-08-01T23:59:59.000Z

499

Changing scenario of micronutrient deficiencies in India during four decades and its impact on crop responses and nutritional health of human and animals  

E-Print Network (OSTI)

2004) Zinc in soils and crop nutrition. IZA Publications.MV (2006) Micronutrients in crops and in soils of India.micronutrients for global crop production. (Ed. BJ Alloway),

Singh, M V; Narwal, R P; G, Bhupal Raj; Patel, K P; Sadana, U S

2009-01-01T23:59:59.000Z

500

Using Legumes to Enhance Sustainability of Sorghum Cropping Systems in the East Texas Pineywoods Ecoregion: Impacts on Soil Nitrogen, Soil Carbon, and Crop Yields  

E-Print Network (OSTI)

Overall soil productivity is declining in the U.S. due to loss of soil organic matter (SOM). Decreased SOM lowers soil water storage, reduces water infiltration, slows aggregate formation, and depletes soil of nutrients. In many systems, crop nutrients are replaced by expensive synthetic fertilizers that can lead to environmental concerns. This practice is not economically or environmentally sustainable in the long term. To secure future soil use and crop production, sustainable management practices are needed to prevent further SOM depletion. Incorporating legumes into cropping systems is one alternative that can bolster soil organic C (SOC) (key indicator of SOM) and reduce N fertilizer applications through symbiotic legume N fixation. Three studies were conducted over multiple years at the Texas A&M AgriLife Research and Extension Center near Overton, TX. Annual cool- and warm-season legumes were evaluated as potential green manure crops and intercrops under grain sorghum [Sorghum bicolor (L.) Moench], high-biomass sorghum [Sorghum bicolor (L.) Moench], and annual forage cropping systems. These studies quantified legume soil moisture usage and C and N contributions to the soil and subsequent crop yields in East Texas. Primary project objectives were to maintain or maximize primary crop yields at reduced N fertilizer rates and to build SOC through the integration of legume green manures and intercrops. Green manuring cool-season legumes showed the most beneficial effect on SOC, soil total N, and crop yields; however, significant increases in yield were only detected after three years in rotation. Intercropping Iron-and-Clay cowpea (Vigna unguiculata L. [Walp]) decreased yield of both high-biomass sorghum and grain sorghum due to competitive vegetative growth. Iron-and-Clay did however improve biomass yields of high-biomass sorghum in two subsequent years when implemented as a green manure. Despite large N yields as high as 310 kg ha-1, impacts of legumes on annual forage crops was limited. Poor response was likely a result of previous field history in which a permanent warm-season grass pasture was cultivated for site preparation and mineralized SOC released substantial amounts of available N. Under low soil N conditions, legume green manures produce enough N to likely reduce N fertilizer requirements cost-effectively for subsequent crops in East Texas.

Neely, Clark B

2013-05-01T23:59:59.000Z