Powered by Deep Web Technologies
Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Crude Oil plus Lease Condensate Estimated Production, Wet After Lease  

Gasoline and Diesel Fuel Update (EIA)

1,929 1,991 2,065 2009-2011 1,929 1,991 2,065 2009-2011 Federal Offshore U.S. 599 590 504 2009-2011 Pacific (California) 22 19 22 2009-2011 Louisiana & Alabama 522 518 432 2009-2011 Texas 55 53 50 2009-2011 Alaska 210 195 206 2009-2011 Lower 48 States 1,719 1,796 1,859 2009-2011 Alabama 7 7 8 2009-2011 Arkansas 6 5 6 2009-2011 California 208 198 196 2009-2011 Coastal Region Onshore 18 18 20 2009-2011 Los Angeles Basin Onshore 15 15 15 2009-2011 San Joaquin Basin Onshore 161 152 149 2009-2011 State Offshore 14 13 12 2009-2011 Colorado 30 33 41 2009-2011 Florida 1 2 2 2009-2011 Illinois 5 4 4 2009-2011 Indiana 1 1 1 2009-2011 Kansas 40 41 41 2009-2011 Kentucky 2 1 1 2009-2011 Louisiana 68 66 68 2009-2011 North 11 10 11 2009-2011 South Onshore 48 47 47 2009-2011

2

Microsoft Word - FINAL DOE IRM Strategic Plan_2009-2011_090808.docx  

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

IRM Strategic Plan IRM Strategic Plan Office of the Chief Information Officer FY 2009 - 2011 DOE IRM Strategic Plan i FY 2009 - 2011 U.S. Department of Energy IRM Strategic Plan Office of the Chief Information Officer FY 2009 - 2011 DOE IRM Strategic Plan i TABLE OF CONTENTS MESSAGE FROM THE CHIEF INFORMATION OFFICER ..................................................................3 1.0 INTRODUCTION ..........................................................................................................................................4 2.0 IT STRATEGY OVERVIEW ........................................................................................................................4 2.1 DEPARTMENT OF ENERGY MISSION..........................................................................................

3

Estimate product quality with ANNs  

Science Conference Proceedings (OSTI)

Artificial neural networks (ANNs) have been applied to predict catalytic reformer octane number (ON) and gasoline splitter product qualities. Results show that ANNs are a valuable tool to derive fast and accurate product quality measurements, and offer a low-cost alternative to online analyzers or rigorous mathematical models. The paper describes product quality measurements, artificial neural networks, ANN structure, estimating gasoline octane numbers, and estimating naphtha splitter product qualities.

Brambilla, A. [Univ. of Pisa (Italy); Trivella, F. [Adicon Advanced Distillation Control SrL, Pisa (Italy)

1996-09-01T23:59:59.000Z

4

SEDS: State Energy Production Estimates  

U.S. Energy Information Administration (EIA)

Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity. ... Production. by state and for the United States; by energy source;

5

Hydrogen Production Cost Estimate Using Biomass Gasification...  

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

Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov...

6

,"Pennsylvania Dry Natural Gas Reserves Estimated Production...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

7

,"Mississippi Dry Natural Gas Reserves Estimated Production ...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

8

,"Dry Natural Gas Reserves Estimated Production "  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Dry Natural Gas Reserves Estimated Production ",52,"Annual",2011,"6301977" ,"Release Date:","81...

9

New Methodology for Natural Gas Production Estimates  

Reports and Publications (EIA)

A new methodology is implemented with the monthly natural gas production estimates from the EIA-914 survey this month. The estimates, to be released April 29, 2010, include revisions for all of 2009. The fundamental changes in the new process include the timeliness of the historical data used for estimation and the frequency of sample updates, both of which are improved.

Information Center

2010-04-26T23:59:59.000Z

10

Table 18. Natural gas plant liquids proved reserves and production...  

Gasoline and Diesel Fuel Update (EIA)

: Natural gas plant liquids proved reserves and production, 2009 - 2011 (excludes Lease Condensate) million barrels Reserves Production State and Subdivision 2009 2010 2011 2009...

11

Adjusted Estimates of Texas Natural Gas Production  

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

1 Energy Information Administration 1 Energy Information Administration Adjusted Estimates of Texas Natural Gas Production Background The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO 2 ) production. Normally, EIA would wait until publication of the Natural Gas Annual (NGA) before revising the 2004 data, but the adjustments for CO 2 are large enough to warrant making the changes at this time. Prior to 2005, EIA relied exclusively on the voluntary sharing of production data by state and federal government entities to develop its natural gas production estimates. In 2005, EIA began collecting production data directly from operators on the new EIA-914 production

12

How EIA Estimates Natural Gas Production  

Reports and Publications (EIA)

The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing States and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The States and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.

Information Center

2004-02-01T23:59:59.000Z

13

Efficient Estimates of a Model of Production and Cost  

E-Print Network (OSTI)

Estimates of a Model of Production and Cost by Quirino ParisEstimates of a Model of Production and Cost Quirino Paris*Estimates of a Model of Production and Cost I. Introduction

Paris, Quirino; Caputo, Michael R.

2004-01-01T23:59:59.000Z

14

Utah Crude Oil + Lease Condensate Estimated Production from Reserves...  

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

Estimated Production from Reserves (Million Barrels) Utah Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

15

Aerosol Best Estimate Value-Added Product  

Science Conference Proceedings (OSTI)

The objective of the Aerosol Best Estimate (AEROSOLBE) value-added product (VAP) is to provide vertical profiles of aerosol extinction, single scatter albedo, asymmetry parameter, and Angstroem exponents for the atmospheric column above the Central Facility at the ARM Southern Great Plains (SGP) site. We expect that AEROSOLBE will provide nearly continuous estimates of aerosol optical properties under a range of conditions (clear, broken clouds, overcast clouds, etc.). The primary requirement of this VAP was to provide an aerosol data set as continuous as possible in both time and height for the Broadband Heating Rate Profile (BBHRP) VAP in order to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Even though BBHRP has been completed, AEROSOLBE results are very valuable for environmental, atmospheric, and climate research.

Flynn, C; Turner, D; Koontz, A; Chand, D; Sivaraman, C

2012-07-19T23:59:59.000Z

16

Table PT1. Energy Production Estimates in Physical Units, United ...  

U.S. Energy Information Administration (EIA)

a Beginning in 2001, includes refuse recovery. d Includes denaturant. Estimated using production b Marketed production. ... Coal a Natural Gas b Crude Oil c Fuel ...

17

U.S. Natural Gas Plant Liquids Reserves, Estimated Production...  

Gasoline and Diesel Fuel Update (EIA)

Liquids Reserves, Estimated Production (Million Barrels) U.S. Natural Gas Plant Liquids Reserves, Estimated Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

18

California Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) California Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

19

Ohio Dry Natural Gas Reserves Estimated Production (Billion Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Estimated Production (Billion Cubic Feet) Ohio Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

20

Florida Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Florida Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Mississippi Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Mississippi Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

22

Louisiana Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Louisiana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

23

Kentucky Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Kentucky Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

24

Alaska Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Alaska Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

25

Utah Dry Natural Gas Reserves Estimated Production (Billion Cubic...  

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

Estimated Production (Billion Cubic Feet) Utah Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

26

Michigan Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Michigan Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

27

Virginia Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

28

Kansas Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Kansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

29

Montana Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Montana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

30

Pennsylvania Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Pennsylvania Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

31

Alabama Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Alabama Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

32

Colorado Dry Natural Gas Reserves Estimated Production (Billion...  

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

Estimated Production (Billion Cubic Feet) Colorado Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

33

New Mexico - West Dry Natural Gas Reserves Estimated Production...  

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

Estimated Production (Billion Cubic Feet) New Mexico - West Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

34

Texas Dry Natural Gas Reserves Estimated Production (Billion...  

Annual Energy Outlook 2012 (EIA)

Estimated Production (Billion Cubic Feet) Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

35

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network (OSTI)

) & assume steam generation efficiency Subtract estimated electricity use for printing (when no pulp & paper energy use data available) Calculate the ratio of estimated energy use & BAT-based best case 256 #12 distortions, regulation and plant systems optimisation Future technologies focus on black liquor gasification

36

,"Estimated Production of Natural Gas, Wet After Lease Separation...  

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

Estimated Production of Natural Gas, Wet After Lease Separation " ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Lates...

37

,"Montana Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Montana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

38

,"Arkansas Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

39

,"Wyoming Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

40

,"Alabama Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

,"Oklahoma Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

42

,"Alaska Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

43

,"Texas Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

44

,"Kansas Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

45

,"Michigan Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

46

,"Kentucky Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

47

,"Utah Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Utah Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

48

,"Florida Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Florida Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

49

,"Virginia Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

50

,"Louisiana Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

51

,"Colorado Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

52

,"California Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","California Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

53

,"Ohio Dry Natural Gas Reserves Estimated Production (Billion...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011 ,"Release...

54

,"New Mexico Dry Natural Gas Reserves Estimated Production (Billion...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2011...

55

DEVELOPMENT OF A PRODUCTION COST ESTIMATION FRAMEWORK TO SUPPORT PRODUCT FAMILY DESIGN  

E-Print Network (OSTI)

The main task of a product family designer is to decide the right components/design variables to share among products to maintain economies of scale with minimum sacrifice in the performance of each product in the family. The decisions are usually based on several criteria, but production cost is of primary concern. Estimating the production cost of a family of products involves both estimating the production cost of each product in the family and the costs incurred by common and variant components/design variables in the family. To estimate these costs consistently and accurately, we propose a production cost estimation framework to support product family design based on Activity-Based Costing (ABC) that consists of three stages: (1) allocation, (2) estimation, and (3) analysis. In the allocation stage, the production activities and resources needed to produce the entire products in a family are identified and classified with an activity table, a resource table, and a production flow. To help allocate product data for production, a product family structure is represented by a hierarchical classification of products that form the product family. In the estimation stage, production costs are estimated with cost estimation methods selected based on the type of information available. In the analysis stage,

Jaeil Park; Timothy W. Simpson

2004-01-01T23:59:59.000Z

56

Table PT1. Energy Production Estimates in Physical Units, New ...  

U.S. Energy Information Administration (EIA)

Energy Production Estimates in Physical Units, New Mexico, 1960 - 2011 1960 295 798,928 107,380 NA 1961 412 789,662 112,553 NA ... Fossil Fuels Renewable Energy

57

Table PT1. Energy Production Estimates in Physical Units, Michigan ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Michigan, 1960 - 2011 1960 0 20,790 15,899 NA 1961 0 27,697 18,901 NA 1962 0 28,987 17,114 NA

58

Cost and production estimation for a cutter suction dredge  

E-Print Network (OSTI)

The need for accurate cost estimates is well recognized in the dredging industry. In order for a dredging contractor to efficiently execute a project from its conception to its completion, an accurate estimate of the final cost is imperative. The most practical method of determining the cost is through the use of a computer program, based on the capability of personal computers to manipulate large amounts of data and perform difficult calculations without error. Development of such a program requires both theoretical and practical knowledge of the dredging process. There are several existing cost estimation and production estimation programs in use in the dredging industry today. Several different algorithms to estimate production have been developed over the years, and there are some non-proprietary production programs. However, the majority of both cost and production estimation programs are proprietary and therefore not available to those apart from the individual company. Therefore, the need exists for a program of this type which can be made available to the general public. This report discusses the development of a new generalized cost and production estimation program. Both slurry transport theory and centrifugal pump theory are incorporated into the production component of the program. This is necessary to obtain an accurate production estimate in the absence of a great deal of data for a specific dredge. Practical knowledge of costs associated with the dredging process is applied in the cost estimation component. The gram is written in the Quattropro(version6.01)spread sheet formatand may be used in conjunction with Microsoft Windows version 3.1 or Windows95. The acronym CSDCEP has been given to the program, which stands for Cutter detailing the operation of the program is available. The cost estimate results produced by CSDCEP were compared with actual data and government cost estimates for twenty one completed projects. The average difference between the estimate and the actual costs was twenty four percent. CSDCEP is a generalized cost estimating program that yields a good approximation of the final dredging cost.

Miertschin, Michael Wayne

1997-01-01T23:59:59.000Z

59

ARM - Evaluation Product - Quantitative Precipitation Estimates (QPE) from  

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

ProductsQuantitative Precipitation Estimates (QPE) ProductsQuantitative Precipitation Estimates (QPE) from the CSAPR Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Quantitative Precipitation Estimates (QPE) from the CSAPR Site(s) SGP TWP General Description Precipitation rates from cloud systems can give a fundamental insight into the processes occurring in-cloud. While rain gauges and disdrometers can give information at a single point, remote sensors such as radars can provide rainfall information over a defined area. The QPE value-added product (VAP) takes the Corrected Moments in Antenna Coordinates VAP and maps the Rain_rate_A field onto a Cartesian grid at the surface. This field is the rain rate as determined using the specific attenuation (A, dBZ/km) due to two-way liquid attenuation after Ryzhkov et

60

Estimating production and cost for clamshell mechanical dredges  

E-Print Network (OSTI)

Clamshell dredges are used around the United States for both navigational and environmental dredging projects. Clamshell dredges are extremely mobile and can excavate sediment over a wide range of depths. The object of this thesis is to develop a methodology for production and cost estimation for clamshell dredge projects. There are current methods of predicting clamshell dredge production which rely on production curves and constant cycle times. This thesis calculates production estimation by predicting cycle time which is the time required to complete one dredge cycle. By varying the cycle time according to site characteristics production can be predicted. A second important component to predicting clamshell dredge production is bucket fill factor. This is the percent of the bucket that will fill with sediment depending on the type of soil being excavated. Using cycle time as the basis for production calculation a spreadsheet has been created to simplify the calculation of production and project cost. The production calculation also factors in soil type and region of the United States. The spreadsheet is capable of operating with basic site characteristics, or with details about the dredge, bucket size, and region. Once the production is calculated the project cost can be determined. First the project length is found by dividing the total amount of sediment that is to be excavated by the production rate. Once the project length is calculated the remainder of the project cost can be found. The methods discussed in this thesis were used to calculate project cost for 5 different projects. The results were then compared to estimates by the government and the actual cost of the project. The government estimates were an average of 39% higher than the actual project cost. The method discussed in this thesis was only 6% higher than the actual cost.

Adair, Robert Fletcher

2004-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

New Mexico Dry Natural Gas Reserves Estimated Production (Billion Cubic  

Gasoline and Diesel Fuel Update (EIA)

Estimated Production (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) New Mexico Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,127 1,099 1,149 1980's 1,064 1,086 942 799 856 843 628 728 731 760 1990's 887 1,013 1,143 1,337 1,362 1,397 1,423 1,547 1,449 1,539 2000's 1,508 1,536 1,524 1,415 1,527 1,493 1,426 1,349 1,349 1,350 2010's 1,220 1,170 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/1/2013 Next Release Date: 8/1/2014 Referring Pages: Dry Natural Gas Reserves Estimated Production New Mexico Dry Natural Gas Proved Reserves Dry Natural Gas Estimated Production

62

ARM - Evaluation Product - Radiatively Important Parameters Best Estimate  

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

ProductsRadiatively Important Parameters Best ProductsRadiatively Important Parameters Best Estimate (RIPBE) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Radiatively Important Parameters Best Estimate (RIPBE) 2002.03.01 - 2007.06.30 Site(s) SGP General Description The Radiatively Important Parameters Best Estimate (RIPBE) VAP combines multiple input datastreams, each with their own temporal and vertical resolution, to create a complete set of radiatively important parameters on a uniform vertical and temporal grid with quality control and source information for use as input to a radiative transfer model. One of the main drivers for RIPBE was to create input files for the BroadBand Heating Rate Profiles (BBHRP) VAP, but we also envision use of RIPBE files for user-run

63

Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review  

DOE Green Energy (OSTI)

This independent review is the conclusion arrived at from data collection, document reviews, interviews and deliberation from December 2010 through April 2011 and the technical potential of Hydrogen Production Cost Estimate Using Biomass Gasification. The Panel reviewed the current H2A case (Version 2.12, Case 01D) for hydrogen production via biomass gasification and identified four principal components of hydrogen levelized cost: CapEx; feedstock costs; project financing structure; efficiency/hydrogen yield. The panel reexamined the assumptions around these components and arrived at new estimates and approaches that better reflect the current technology and business environments.

Ruth, M.

2011-10-01T23:59:59.000Z

64

U.S. Crude Oil + Lease Condensate Estimated Production from Reserves...  

Gasoline and Diesel Fuel Update (EIA)

Estimated Production from Reserves (Million Barrels) U.S. Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

65

Oklahoma Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)  

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

Estimated Production (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Oklahoma Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,691 1,667 1,592 1980's 1,526 1,700 1,636 1,544 1,778 1,686 1,658 1,813 1,896 1,983 1990's 2,058 1,983 1,895 1,770 1,721 1,562 1,580 1,555 1,544 1,308 2000's 1,473 1,481 1,518 1,554 1,563 1,587 1,601 1,659 1,775 1,790 2010's 1,703 1,697 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/1/2013 Next Release Date: 8/1/2014 Referring Pages: Dry Natural Gas Reserves Estimated Production Oklahoma Dry Natural Gas Proved Reserves

66

Table PT1. Energy Production Estimates in Physical Units, Texas ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Texas, 1960 - 2011 1960 2,098 5,892,704 927,479 NA 1961 2,108 5,963,605 939,191 NA 1962 2,054 6,080,210 ...

67

Table PT1. Energy Production Estimates in Physical Units, Ohio ...  

U.S. Energy Information Administration (EIA)

Table PT1. Energy Production Estimates in Physical Units, Ohio, 1960 - 2011 1960 33,957 36,074 5,405 NA 1961 32,226 36,423 5,639 NA 1962 34,125 36,747 5,835 NA

68

Table PT2. Energy Production Estimates in Trillion Btu, Oklahoma ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Oklahoma, 1960 - 2011 1960 33.9 902.0 1,118.9 0.0 NA 17.8 17.8 2,072.6 1961 26.1 976.9 1,119.9 0.0 NA 20.2 20 ...

69

Table PT2. Energy Production Estimates in Trillion Btu, California ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, California, 1960 - 2011 1960 0.0 589.7 1,771.0 (s) NA 270.2 270.2 2,630.9 1961 0.0 633.8 1,737.7 0.1 NA 248.2 ...

70

Table PT2. Energy Production Estimates in Trillion Btu, Delaware ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Delaware, 1960 - 2011 1960 0.0 0.0 0.0 0.0 NA 5.0 5.0 5.0 1961 0.0 0.0 0.0 0.0 NA 5.1 5.1 5.1

71

Table PT2. Energy Production Estimates in Trillion Btu, Texas ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Texas, 1960 - 2011 1960 26.4 6,610.7 5,379.4 0.0 NA 50.2 50.2 12,066.6 1961 26.5 6,690.2 5,447.3 0.0 NA 52.0 ...

72

Table PT2. Energy Production Estimates in Trillion Btu, Indiana ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Indiana, 1960 - 2011 1960 346.3 0.3 69.9 0.0 NA 24.6 24.6 441.1 1961 336.7 0.4 66.7 0.0 NA 24.2 24.2 428.0

73

Table PT2. Energy Production Estimates in Trillion Btu, Oregon ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Oregon, 1960 - 2011 1960 0.0 0.0 0.0 0.0 NA 190.5 190.5 190.5 1961 0.0 0.0 0.0 0.0 NA 188.9 188.9 188.9

74

Table PT2. Energy Production Estimates in Trillion Btu, Arizona ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Arizona, 1960 - 2011 1960 0.1 0.0 0.4 0.0 NA 36.2 36.2 36.7 1961 0.0 0.0 0.4 0.0 NA 35.1 35.1 35.5

75

Automatic thumbnail extraction for DVR based on production technique estimation  

Science Conference Proceedings (OSTI)

The automatic recording function of DVR is a powerful tool for users. However, increase of the stored content makes it difficult to access desired content. To solve this issue, this paper proposes a new method of providing suitable thumbnails of TV programs ... Keywords: DVR, STB, Object detection, Production technique estimation

T. Takahashi; M. Sugano; S. Sakazsawa

2010-05-01T23:59:59.000Z

76

Estimating discharged plutonium using measurements of structural material activation products  

Science Conference Proceedings (OSTI)

As the US and Russia move to lower numbers of deployed nuclear weapons, transparency regarding the quantity of weapons usable fissile material available in each country may become more important. In some cases detailed historical information regarding material production at individual facilities may be incomplete or not readily available, e.g., at decommissioned facilities. In such cases tools may be needed to produce estimates of aggregate material production as part of a bilateral agreement. Such measurement techniques could also provide increased confidence in declared production quantities.

Charlton, W. S. (William S.); Lumley-Woodyear, A. de; Budlong-Sylvester, K. W. (Kory W.)

2002-01-01T23:59:59.000Z

77

Cost estimate for muddy water palladium production facility at Mound  

SciTech Connect

An economic feasibility study was performed on the ''Muddy Water'' low-chlorine content palladium powder production process developed by Mound. The total capital investment and total operating costs (dollars per gram) were determined for production batch sizes of 1--10 kg in 1-kg increments. The report includes a brief description of the Muddy Water process, the process flow diagram, and material balances for the various production batch sizes. Two types of facilities were evaluated--one for production of new, ''virgin'' palladium powder, and one for recycling existing material. The total capital investment for virgin facilities ranged from $600,000 --$1.3 million for production batch sizes of 1--10 kg, respectively. The range for recycle facilities was $1--$2.3 million. The total operating cost for 100% acceptable powder production in the virgin facilities ranged from $23 per gram for a 1-kg production batch size to $8 per gram for a 10-kg batch size. Similarly for recycle facilities, the total operating cost ranged from $34 per gram to $5 per gram. The total operating cost versus product acceptability (ranging from 50%--100% acceptability) was also evaluated for both virgin and recycle facilities. Because production sizes studied vary widely and because scale-up factors are unknown for batch sizes greater than 1 kg, all costs are ''order-of-magnitude'' estimates. All costs reported are in 1987 dollars.

McAdams, R.K.

1988-11-30T23:59:59.000Z

78

Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review  

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

Hydrogen Production Cost Estimate Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Contract No. DE-AC36-08GO28308 Independent Review Published for the U.S. Department of Energy Hydrogen and Fuel Cells Program NREL/BK-6A10-51726 October 2011 NOTICE 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

79

The specification and estimation of technological change in electricity production  

SciTech Connect

This study focuses on the rate of technological change in electricity production. The dominant role of fossil fuel-fired electricity production in the industry, coupled with the direct association with the emission of greenhouse gases, makes technology parameters particularly significant for several reasons. First, very long-run simulations of energy-economic paths at a global level require that technical progress occupy a place in the methodology for sound formulations that are vital in global emissions/energy policy analysis. Second, given the outlook for electricity generation being predominately coal-based, especially in developing economies around the world, the specification and measurement of technical change is essential for developing realistic long-run technology forecasts. Finally, industry or sector growth in productivity hinges partly on technical progress, and updated analysis will always be necessary to stay abreast of developments on this front, as well as for economic growth considerations in general. This study is based on empirical economic research on production functions in the electric utility industry. However, it advances a seldom used approach, called the {open_quotes}engineering-production function{close_quotes}, in contrast to the more common neoclassical approach used by economists. Combined with this approach is a major departure from the type of data used to conduct econometric estimations of production parameters. This research draws upon a consistent set of ex ante or {open_quotes}blueprint{close_quotes} data that better reflects planned, technical performance and cost data elements, in contrast to the more customary, expect type of data from actual firm/plant operations. The results from the examination of coal-fired technologies indicate the presence of technical change. Using data for the period from 1979 to 1989, we find technical change to be capital-augmenting at the rate of 1.8 percent per year.

Kavanaugh, D.C.; Ashton, W.B.

1995-01-01T23:59:59.000Z

80

Table H1. Estimated Hydrogen Production by Business Sector Business Sector Annual Hydrogen Production  

E-Print Network (OSTI)

In 2007, roughly 9 million metric tons per year of hydrogen was produced in the U.S. 1 in a variety of ways. This production results in about 60 million metric tons of CO2 emissions each year. Table H1 provides estimates of U.S. hydrogen production for the various business sectors. Merchant hydrogen is consumed at sites other than where it is produced. Captive hydrogen (e.g., hydrogen produced at oil refineries, ammonia, and methanol plants) is consumed at the site where it is produced. This technical support document assumes that CO2 emissions associated with captive hydrogen production facilities are included as part of the GHG emissions from the industry producing those other chemical products (e.g., ammonia, petroleum products, and methanol), and therefore this document is focused on merchant hydrogen production.

unknown authors

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

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

82

Direct estimation of gas reserves using production data  

E-Print Network (OSTI)

This thesis presents the development of a semi-analytical technique that can be used to estimate the gas-in-place for volumetric gas reservoirs. This new methodology utilizes plotting functions, plots, extrapolations, etc. - where all analyses are based on the following governing identity. The 'governing identity' is derived and validated by others for pi less than 6000 psia. We have reproduced the derivation of this result and we provide validation using numberical simulation for cases where pi greater than 6000 psia. The relevance of this work is straightforward using a simple governing relation, we provide a series of plotting functions which can be used to extrapolate or interpret an estimate of gas-in-place using only production data (qg and Gp). The proposed methodology does not require a prior knowledge of formation and or fluid compressibility data, nor does it require average reservoir pressure. In fact, no formation or fluid properties are directly required for this analysis and interpretation approach. The new methodology is validated demonstrated using results from numerical simulation (i.e., cases where we know the exact answer), as well as for a number of field cases. Perhaps the most valuable component of this work is our development of a "spreadsheet" approach in which we perform multiple analyses interpretations simultaneously using MS Excel. This allows us to visualize all data plots simultaneously - and to "link" the analyses to a common set of parameters. While this "simultaneous" analysis approach may seem rudimentary (or even obvious), it provides the critical (and necessary) "visualization" that makes the technique functional. The base relation (given above) renders different behavior for different plotting functions, and we must have a "linkage" that forces all analyses to "connect" to one another. The proposed multiplot spreadsheet approach provides just such a connection.

Buba, Ibrahim Muhammad

2003-08-01T23:59:59.000Z

83

Estimating long-term world coal production with logit and probit transforms David Rutledge  

E-Print Network (OSTI)

Estimating long-term world coal production with logit and probit transforms David Rutledge form 27 October 2010 Accepted 27 October 2010 Available online 4 November 2010 Keywords: Coal reserves Coal resources Coal production estimates IPCC Logistic model Cumulative normal model An estimate

Weinreb, Sander

84

Estimation of CO2 Emissions from China's Cement Production: Methodolog...  

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

the need to understand the uncertainty of current estimates of cement emissions in China. This paper compares several methodologies for calculating CO2 emissions from cement...

85

Physics publication productivity in South African universities  

Science Conference Proceedings (OSTI)

Publication productivity during 2009---2011 was studied for physicists who teach in South African universities, using data from departmental websites and Thomson Reuters' Web of Science. The objective was to find typical ranges of two measures of individual ... Keywords: Physics, Productivity, Publication, South Africa, Universities

Alan Peter Matthews

2013-04-01T23:59:59.000Z

86

Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...  

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

Mass Production Cost Estimation for Direct H 2 PEM Fuel Cell Systems for Automotive Applications: 2010 Update September 30, 2010 Prepared by: Brian D. James, Jeffrey A. Kalinoski...

87

Production and analysis of a Southern Ocean state estimate  

E-Print Network (OSTI)

A modern general circulation model of the Southern Ocean with one-sixth of a degree resolution is optimized to the observed ocean in a weighted least squares sense. Convergence toward the state estimate solution is carried ...

Mazloff, Matthew R

2006-01-01T23:59:59.000Z

88

Table PT2. Energy Production Estimates in Trillion Btu ...  

U.S. Energy Information Administration (EIA)

... includes refuse recovery. sources except biofuels. ... Coal a Natural Gas b Crude Oil c Biofuels d Other e Production U.S. Energy Information Administration

89

Table PT1. Energy Production Estimates in Physical Units, Maine ...  

U.S. Energy Information Administration (EIA)

a Beginning in 2001, includes refuse recovery. and production capacity data. ... Coal a Natural Gas b Crude Oil c Fuel Ethanol d Thousand Million Thousand

90

Table PT2. Energy Production Estimates in Trillion Btu, Minnesota ...  

U.S. Energy Information Administration (EIA)

... includes refuse recovery. sources except biofuels. ... Coal a Natural Gas b Crude Oil c Biofuels d Other e Production U.S. Energy Information Administration

91

Cost estimating method of industrial product implemented in WinCOST software system  

Science Conference Proceedings (OSTI)

The paper presents a method for estimating the cost of industrial products and its implementation into a software system named WinCOST. The software is used for calculating the manufacturing time and cost evaluation of industrial products with high level ... Keywords: chip removing process, cold forming processes, cost estimation, cost per hour, software system

Gheorghe Oancea; Lucia Antoneta Chicos; Camil Lancea

2010-07-01T23:59:59.000Z

92

Campbell-Laherrère World Oil Production Estimates, 1930-2050  

U.S. Energy Information Administration (EIA)

1. Since M. King Hubbert accurately predicted the peak in U.S. oil production, it’s easy to understand why his methodology has gained a following in ...

93

A Primal-Dual Estimator of Production and Cost Functions Within an Errors-in-Variables Context  

E-Print Network (OSTI)

The GAE model of production and cost presented here can beDual Estimator of Production and Cost Functions Within anDual Estimator of Production and Cost Functions Within an

Paris, Quirino; Caputo, Michael R.

2004-01-01T23:59:59.000Z

94

Estimates of Production Cost Variance Using Chronological Simulation  

Science Conference Proceedings (OSTI)

Forecasts of production costs are key inputs in the operational planning decisions of electric power utilities. This report describes the effects of uncertainty in annual load variation and uncertainty in generation availability on the variance of cost in an electrical power system.

1999-09-29T23:59:59.000Z

95

Microsoft Word - 2012_EIA_Coal_Production_Estimates_Comparison.docx  

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

2 2 December 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Performance Evaluation of the Weekly Coal Production Report for 2012 i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. December 2013

96

Microsoft Word - Coal Production Estimates Evaluation.docx  

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

1 1 November 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Performance Evaluation of the Weekly Coal Production Report for 2011 i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. November 2012

97

Estimating forest biomass in the USA using generalized allometric models and MODIS land products  

E-Print Network (OSTI)

Estimating forest biomass in the USA using generalized allometric models and MODIS land products 2006; published 11 May 2006. [1] Spatially-distributed forest biomass components are essential to understand carbon cycle and the impact of biomass burning emissions on air quality. We estimated the density

Kuligowski, Bob

98

Wyoming Shale Gas Proved Reserves, Reserves Changes, and Production  

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

0 0 1 0 2007-2011 Adjustments 1 -1 0 2009-2011 Revision Increases 0 0 0 2009-2011 Revision Decreases 1 2 1 2009-2011 Sales 0 0 0 2009-2011 Acquisitions 0 4 0 2009-2011 Extensions 0...

99

NM, East Shale Gas Proved Reserves, Reserves Changes, and Production  

Annual Energy Outlook 2012 (EIA)

12 0 7 35 23 2007-2011 Adjustments 10 3 66 2009-2011 Revision Increases 0 1 68 2009-2011 Revision Decreases 2 2 146 2009-2011 Sales 0 0 0 2009-2011 Acquisitions 0 0 0 2009-2011...

100

NM, West Shale Gas Proved Reserves, Reserves Changes, and Production  

Annual Energy Outlook 2012 (EIA)

0 29 88 121 2007-2011 Adjustments 0 0 3 2009-2011 Revision Increases 2 0 15 2009-2011 Revision Decreases 0 9 44 2009-2011 Sales 0 0 0 2009-2011 Acquisitions 0 0 0 2009-2011...

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Colorado Shale Gas Proved Reserves, Reserves Changes, and Production  

Annual Energy Outlook 2012 (EIA)

0 0 4 4 10 2007-2011 Adjustments 1 -1 0 2009-2011 Revision Increases 0 1 4 2009-2011 Revision Decreases 0 2 0 2009-2011 Sales 0 0 0 2009-2011 Acquisitions 0 0 0 2009-2011...

102

New Mexico Shale Gas Proved Reserves, Reserves Changes, and Production  

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

12 0 36 123 144 2007-2011 Adjustments 10 3 69 2009-2011 Revision Increases 2 1 83 2009-2011 Revision Decreases 2 11 190 2009-2011 Sales 0 0 0 2009-2011 Acquisitions 0 0 0 2009-2011...

103

Estimate of federal relighting potential and demand for efficient lighting products  

SciTech Connect

The increasing level of electric utility rebates for energy-efficient lighting retrofits has recently prompted concern over the adequacy of the market supply of energy-efficient lighting products (Energy User News 1991). In support of the U.S. Department of Energy`s Federal Energy Management Program, Pacific Northwest Laboratory (PNL) has developed an estimate of the total potential for energy-efficient lighting retrofits in federally owned buildings. This estimate can be used to address the issue of the impact of federal relighting projects on the supply of energy-efficient lighting products. The estimate was developed in 1992, using 1991 data. Any investments in energy-efficient lighting products that occurred in 1992 will reduce the potential estimated here. This analysis proceeds by estimating the existing stock of lighting fixtures in federally owned buildings. The lighting technology screening matrix is then used to determine the minimum life-cycle cost retrofit for each type of existing lighting fixture. Estimates of the existing stock are developed for (1) four types of fluorescent lighting fixtures (2-, 3-, and 4-lamp, F40 4-foot fixtures, and 2-lamp, F96 8-foot fixtures, all with standard magnetic ballasts); (2) one type of incandescent fixture (a 75-watt single bulb fixture); and (3) one type of exit sign (containing two 20-watt incandescent bulbs). Estimates of the existing stock of lighting fixtures in federally owned buildings, estimates of the total potential demand for energy-efficient lighting products if all cost-effective retrofits were undertaken immediately, and total potential annual energy savings (in MWh and dollars), the total investment required to obtain the energy savings and the present value of the efficiency investment, are presented.

Shankle, S.A.; Dirks, J.A.; Elliott, D.B.; Richman, E.E.; Grover, S.E.

1993-11-01T23:59:59.000Z

104

Table PT2. Energy Production Estimates in Trillion Btu, Ohio, 1960 ...  

U.S. Energy Information Administration (EIA)

Table PT2. Energy Production Estimates in Trillion Btu, Ohio, 1960 - 2011 1960 796.6 36.9 31.3 0.0 NA 37.0 37.0 901.9 1961 756.0 37.3 32.7 0.0 NA 36.4 36.4 862.4

105

Comparative Evaluation of Two Methods to Estimate Natural Gas Production in Texas  

Reports and Publications (EIA)

This report describes an evaluation conducted by the Energy Information Administration (EIA) in August 2003 of two methods that estimate natural gas production in Texas. The first method (parametric method) was used by EIA from February through August 2003 and the second method (multinomial method) replaced it starting in September 2003, based on the results of this evaluation.

Information Center

2003-12-23T23:59:59.000Z

106

Estimating coal production peak and trends of coal imports in China  

SciTech Connect

More than 20 countries in the world have already reached a maximum capacity in their coal production (peak coal production) such as Japan, the United Kingdom and Germany. China, home to the third largest coal reserves in the world, is the world's largest coal producer and consumer, making it part of the Big Six. At present, however, China's coal production has not yet reached its peak. In this article, logistic curves and Gaussian curves are used to predict China's coal peak and the results show that it will be between the late 2020s and the early 2030s. Based on the predictions of coal production and consumption, China's net coal import could be estimated for coming years. This article also analyzes the impact of China's net coal import on the international coal market, especially the Asian market, and on China's economic development and energy security. 16 refs., 5 figs., 6 tabs.

Bo-qiang Lin; Jiang-hua Liu [Xiamen University, Xiamen (China). China Center for Energy Economics Research (CCEER)

2010-01-15T23:59:59.000Z

107

Evaluation and Uncertainty Estimation of NOAA/NSSL Next-Generation National Mosaic Quantitative Precipitation Estimation Product (Q2) over the Continental United States  

Science Conference Proceedings (OSTI)

Quantitative precipitation estimation (QPE) products from the next-generation National Mosaic and QPE system (Q2) are cross-compared to the operational, radar-only product of the National Weather Service (Stage II) using the gauge-adjusted and ...

Sheng Chen; Jonathan J. Gourley; Yang Hong; P. E. Kirstetter; Jian Zhang; Kenneth Howard; Zachary L. Flamig; Junjun Hu; Youcun Qi

2013-08-01T23:59:59.000Z

108

DOE/SC-ARM/TR-115 Aerosol Best Estimate (AEROSOLBE) Value-Added Product  

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

5 5 Aerosol Best Estimate (AEROSOLBE) Value-Added Product C Flynn D Turner A Koontz D Chand C Sivaraman July 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States 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, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or

109

An estimate of the cost of electricity production from hot-dry rock  

DOE Green Energy (OSTI)

This paper gives an estimate of the cost to produce electricity from hot-dry rock (HDR). Employment of the energy in HDR for the production of electricity requires drilling multiple wells from the surface to the hot rock, connecting the wells through hydraulic fracturing, and then circulating water through the fracture system to extract heat from the rock. The basic HDR system modeled in this paper consists of an injection well, two production wells, the fracture system (or HDR reservoir), and a binary power plant. Water is pumped into the reservoir through the injection well where it is heated and then recovered through the production wells. Upon recovery, the hot water is pumped through a heat exchanger transferring heat to the binary, or working, fluid in the power plant. The power plant is a net 5.1-MW[sub e] binary plant employing dry cooling. Make-up water is supplied by a local well. In this paper, the cost of producing electricity with the basic system is estimated as the sum of the costs of the individual parts. The effects on cost of variations to certain assumptions, as well as the sensitivity of costs to different aspects of the basic system, are also investigated.

Pierce, K.G. (Sandia National Labs., Albuquerque, NM (United States)); Livesay, B.J. (Livesay Consultants, Inc., Encinitas, CA (United States))

1993-01-01T23:59:59.000Z

110

Worldwide estimates and bibliography of net primary productivity derived from pre-1982 publications  

SciTech Connect

An extensive compilation of more than 700 field estimates of net primary productivity of natural and agricultural ecosystems worldwide was synthesized in Germany in the 1970s and early 1980s. Although the Osnabrueck data set has not been updated since the 1980s, it represents a wealth of information for use in model development and validation. This report documents the development of this data set, its contents, and its recent availability on the Internet from the Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. Caution is advised in using these data, which necessarily include assumptions and conversions that may not be universally applicable to all sites.

Esser, G. [Justus-Liebig-Univ., Giessen (Germany). Inst. for Plant Ecology] [Justus-Liebig-Univ., Giessen (Germany). Inst. for Plant Ecology; Lieth, H.F.H. [Univ. of Osnabrueck (Germany). Systems Research Group] [Univ. of Osnabrueck (Germany). Systems Research Group; Scurlock, J.M.O.; Olson, R.J. [Oak Ridge National Lab., TN (United States)] [Oak Ridge National Lab., TN (United States)

1997-10-01T23:59:59.000Z

111

Determination of uncertainty in reserves estimate from analysis of production decline data  

E-Print Network (OSTI)

Analysts increasingly have used probabilistic approaches to evaluate the uncertainty in reserves estimates based on a decline curve analysis. This is because the results represent statistical analysis of historical data that usually possess significant amounts of noise. Probabilistic approaches usually provide a distribution of reserves estimates with three confidence levels (P10, P50 and P90) and a corresponding 80% confidence interval. The question arises: how reliable is this 80% confidence interval? In other words, in a large set of analyses, is the true value of reserves contained within this interval 80% of the time? Our investigation indicates that it is common in practice for true values of reserves to lie outside the 80% confidence interval much more than 20% of the time using traditional statistical analyses. This indicates that uncertainty is being underestimated, often significantly. Thus, the challenge in probabilistic reserves estimation using a decline curve analysis is not only how to appropriately characterize probabilistic properties of complex production data sets, but also how to determine and then improve the reliability of the uncertainty quantifications. This thesis presents an improved methodology for probabilistic quantification of reserves estimates using a decline curve analysis and practical application of the methodology to actual individual well decline curves. The application of our proposed new method to 100 oil and gas wells demonstrates that it provides much wider 80% confidence intervals, which contain the true values approximately 80% of the time. In addition, the method yields more accurate P50 values than previously published methods. Thus, the new methodology provides more reliable probabilistic reserves estimation, which has important impacts on economic risk analysis and reservoir management.

Wang, Yuhong

2003-05-01T23:59:59.000Z

112

Steady-state model for estimating gas production from underground coal gasification  

Science Conference Proceedings (OSTI)

A pseudo-one-dimensional channel model has been developed to estimate gas production from underground coal gasification. The model incorporates a zero-dimensional steady-state cavity growth submodel and models mass transfer from the bulk gas to the coal wall using a correlation for natural convection. Simulations with the model reveal that the gas calorific value is sensitive to coal reactivity and the exposed reactive surface area per unit volume in the channel. A comparison of model results with several small-scale field trials conducted at Centralia in the U.S.A. show that the model can make good predictions of the gas production and composition under a range of different operating conditions, including operation with air and steam/oxygen mixtures. Further work is required to determine whether the model formulation is also suitable for simulating large-scale underground coal gasification field trials.

Greg Perkins; Veena Sahajwalla [University of New South Wales, Sydney, NSW (Australia). School of Materials Science and Engineering

2008-11-15T23:59:59.000Z

113

Utah Coalbed Methane Proved Reserves, Reserves Changes, and Production  

Gasoline and Diesel Fuel Update (EIA)

750 922 893 725 718 679 2000-2011 Adjustments 0 8 9 2009-2011 Revision Increases 9 77 46 2009-2011 Revision Decreases 110 30 31 2009-2011 Sales 0 0 130 2009-2011 Acquisitions 0 0...

114

Montana Shale Gas Proved Reserves, Reserves Changes, and Production  

Annual Energy Outlook 2012 (EIA)

140 125 137 186 192 2007-2011 Adjustments 8 40 14 2009-2011 Revision Increases 42 14 14 2009-2011 Revision Decreases 34 16 14 2009-2011 Sales 2 1 42 2009-2011 Acquisitions 2 0 41...

115

Kentucky Shale Gas Proved Reserves, Reserves Changes, and Production  

Annual Energy Outlook 2012 (EIA)

21 20 55 10 41 2007-2011 Adjustments -1 -1 0 2009-2011 Revision Increases 44 3 44 2009-2011 Revision Decreases 3 43 11 2009-2011 Sales 0 0 45 2009-2011 Acquisitions 0 0 45...

116

A Comparison of TCO2 and 14C Estimates of Primary Production  

E-Print Network (OSTI)

17. Linear regression of the production of dissolved organicof marine primary production through time. Modified estimateplanktonic community production. ”” Limnology and

Broughton, Jennifer Anne

2010-01-01T23:59:59.000Z

117

Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Application  

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

Mass Production Cost Estimation for Direct H 2 PEM Fuel Cell Systems for Automotive Applications: 2008 Update March 26, 2009 v.30.2021.052209 Prepared by: Brian D. James & Jeffrey A. Kalinoski One Virginia Square 3601 Wilson Boulevard, Suite 650 Arlington, Virginia 22201 703-243-3383 Prepared for: Contract No. GS-10F-0099J to the U.S. Department of Energy Energy Efficiency and Renewable Energy Office Hydrogen, Fuel Cells & Infrastructure Technologies Program Foreword Energy security is fundamental to the mission of the U.S. Department of Energy (DOE) and hydrogen fuel cell vehicles have the potential to eliminate the need for oil in the transportation sector. Fuel cell vehicles can operate on hydrogen, which can be produced domestically, emitting less greenhouse gas and pollutants than

118

Raman Lidar Profiles Best Estimate Value-Added Product Technical Report  

Science Conference Proceedings (OSTI)

The ARM Raman lidars are semi-autonomous ground-based systems that transmit at a wavelength of 355 nm with 300 mJ, {approx}5 ns pulses, and a pulse repetition frequency of 30Hz. Signals from the various detection channels are processed to produce time- and height-resolved estimates of several geophysical quantities, such as water vapor mixing ratio, relative humidity, aerosol scattering ratio, backscatter, optical depth, extinction, and depolarization ratio. Data processing is currently handled by a suite of six value-added product (VAP) processes. Collectively, these processes are known as the Raman Lidar Profiles VAP (RLPROF). The top-level best-estimate (BE) VAP process was introduced in order to bring together the most relevant information from the intermediate-level VAPs. As such, the BE process represents the final stage in data processing for the Raman lidar. Its principal function is to extract the primary variables from each of the intermediate-level VAPs, perform additional quality control, and combine all of this information into a single output file for the end-user. The focus of this document is to describe the processing performed by the BE VAP process.

Newson, R

2012-01-18T23:59:59.000Z

119

In vitro starch digestibility and estimated glycemic index of sorghum products  

E-Print Network (OSTI)

Fractions from white and tannin sorghums were processed into extrudates, thick porridges, and breads. The effects of sorghum type and fraction on the in vitro starch availability of the products were evaluated, and the estimated glycemic indexes (EGI) of the products were obtained. Sorghum extrudates were significantly more slowly digested than corn meal extrudates for all preparation methods (whole, cracked and decorticated kernels). Furthermore, tannin extrudates were less digestible than white sorghum extrudates. The soft endosperm nature of the tannin sorghum limited friction formation inside the extruder, reducing starch gelatinization. On the other hand, condensed tannins also interfered with the starch availability for digestion. White sorghum was more 'suitable' for extrusion, giving extrudates with higher starch degradation and expansion than the tannin sorghums. However, tannin sorghums also gave acceptable products offering the benefit of lower EGI values. Sorghum porridges were more slowly digested than a corn flour porridge when using whole and decorticated flours. In addition, tannin sorghum porridges had a lower starch digestibility compared to all the samples. Tannin sorghum flours produced soft porridges with enhanced initial starch digestibility. However, condensed tannins seemed to offset the starch digestion by limiting starch availability. All sorghum porridges had significantly lower EGI values than the corn porridge. Extrudates and porridges had reduced starch digestibilities and EGI values when using whole grains compared to using the decorticated fractions. This was observed in both the white and the tannin sorghum. Therefore, whole-grain products from sorghum have health benefits attributed to whole grain foods and slower digesting starches; for instance, prevention and treatment of diseases such as diabetes, insulin resistance, obesity, cardiovascular disease, and some types of cancer. When 12% of tannin bran was added to a wheat bread formulation, a slower rate of starch digestion was observed compared to a wheat bread. The high concentration of non-starch components of the bran (i.e. dietary fiber, condensed tannins) affected starch digestion. The addition of tannin sorghum bran significantly reduced the EGI value of wheat bread, besides being a natural source of brown color, and an excellent source of antioxidants and dietary fiber.

De Castro Palomino Siller, Angelina

2003-05-01T23:59:59.000Z

120

Crude Oil plus Lease Condensate Proved Reserves, as of Dec. 31  

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

Data Series: Proved Reserves as of Dec. 31 Adjustments Revision Increases Revision Decreases Sales Acquisitions Extensions New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Period: Data Series: Proved Reserves as of Dec. 31 Adjustments Revision Increases Revision Decreases Sales Acquisitions Extensions New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2009 2010 2011 View History U.S. 22,315 25,181 28,950 2009-2011 Federal Offshore U.S. 4,357 4,710 5,171 2009-2011 Pacific (California) 350 363 352 2009-2011 Louisiana & Alabama 3,704 4,043 4,567 2009-2011 Texas 303 304 252 2009-2011 Alaska 3,566 3,722 3,852 2009-2011 Lower 48 States 18,749 21,459 25,098 2009-2011 Alabama 53 60 65 2009-2011 Arkansas 29 42 40 2009-2011

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Crude Oil plus Lease Condensate Proved Reserves, as of Dec. 31  

Gasoline and Diesel Fuel Update (EIA)

Data Series: Proved Reserves as of Dec. 31 Adjustments Revision Increases Revision Decreases Sales Acquisitions Extensions New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Period: Data Series: Proved Reserves as of Dec. 31 Adjustments Revision Increases Revision Decreases Sales Acquisitions Extensions New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2009 2010 2011 View History U.S. 22,315 25,181 28,950 2009-2011 Federal Offshore U.S. 4,357 4,710 5,171 2009-2011 Pacific (California) 350 363 352 2009-2011 Louisiana & Alabama 3,704 4,043 4,567 2009-2011 Texas 303 304 252 2009-2011 Alaska 3,566 3,722 3,852 2009-2011 Lower 48 States 18,749 21,459 25,098 2009-2011 Alabama 53 60 65 2009-2011 Arkansas 29 42 40 2009-2011

122

Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis  

Fuel Cell Technologies Publication and Product Library (EERE)

This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

123

Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis: Independent Review  

DOE Green Energy (OSTI)

This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

Not Available

2009-09-01T23:59:59.000Z

124

Rainfall Estimation in the Sahel. Part II: Evaluation of Rain Gauge Networks in the CILSS Countries and Objective Intercomparison of Rainfall Products  

Science Conference Proceedings (OSTI)

This study investigates the accuracy of various precipitation products for the Sahel. A first set of products is made of three ground-based precipitation estimates elaborated regionally from the gauge data collected by Centre Regional ...

Abdou Ali; Abou Amani; Arona Diedhiou; Thierry Lebel

2005-11-01T23:59:59.000Z

125

mMass Production Cost Estimation for Direct H2 PEM Fuel Cell...  

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

has not been included in this study. In general, the system designs do not change with production rate, but material costs, manufacturing methods, and business-operational...

126

Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...  

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

has not been included in this study. In general, our system designs do not change with production rate, but material costs, manufacturing methods, and business-operational...

127

Current (2009) State-of-the-Art Hydrogen Production Cost Estimate...  

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

capital costs and improving efficiency have lead to substantially improved electrolysis production costs compared to DOE's H2A assessment of 2005 technology costs (forecourt...

128

GENERAL BULLETIN 2009-2011 1 GENERAL BULLETIN 2009-2011  

E-Print Network (OSTI)

. Flowsheeting program packages, like CHEMCAD, Aspen Plus, HYSYS, PRO/II, and ProSimPlus, are commonly used

Dormidontova, Elena E.

129

Examination of high resolution rainfall products and satellite greenness indices for estimating patch and landscape forage biomass  

E-Print Network (OSTI)

Assessment of vegetation productivity on rangelands is needed to assist in timely decision making with regard to management of the livestock enterprise as well as to protect the natural resource. Characterization of the vegetation resource over large landscapes can be time consuming, expensive and almost impossible to do on a near real-time basis. The overarching goal of this study was to examine available technologies for implementing near real-time systems to monitor forage biomass available to livestock on a given landscape. The primary objectives were to examine the ability of the Climate Prediction Center Morphing Product (CMORPH) and Next Generation Weather Radar (NEXRAD) rainfall products to detect and estimate rainfall at semi-arid sites in West Texas, to verify the ability of a simulation model (PHYGROW) to predict herbaceous biomass at selected sites (patches) in a semi-arid landscape using NEXRAD rainfall, and to examine the feasibility of using cokriging for integrating simulation model output and satellite greenness imagery (NDVI) for producing landscape maps of forage biomass in Mongolia’s Gobi region. The comparison of the NEXRAD and CMORPH rainfall products to gage collected rainfall revealed that NEXRAD outperformed the CMORPH rainfall with lower estimation bias, lower variability, and higher estimation efficiency. When NEXRAD was used as a driving variable in PHYGROW simulations that were calibrated using gage measured rainfall, model performance for estimating forage biomass was generally poor when compared to biomass measurements at the sites. However, when model simulations were calibrated using NEXRAD rainfall, performance in estimating biomass was substantially better. A suggested reason for the improved performance was that calibration with NEXRAD adjusted the model for the general over or underestimation of rainfall by the NEXRAD product. In the Gobi region of Mongolia, the PHYGROW model performed well in predicting forage biomass except for overestimations in the Forest Steppe zone. Cross-validation revealed that cokriging of PHYGROW output with NDVI as a covariate performed well during the majority of the growing season. Cokriging of simulation model output and NDVI appears to hold promise for producing landscape maps of forage biomass as part of near real-time forage monitoring systems.

Angerer, Jay Peter

2008-05-01T23:59:59.000Z

130

Uncertainty in techno-economic estimates of cellulosic ethanol production due to experimental measurement uncertainty  

E-Print Network (OSTI)

Abstract Background Cost-effective production of lignocellulosic biofuels remains a major financial and technical challenge at the industrial scale. A critical tool in biofuels process development is the techno-economic ...

Vicari, Kristin Jenise

131

DOE/SC-ARM/TR-100 Raman Lidar Profiles Best Estimate Value-Added Product Technical Report  

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

0 0 Raman Lidar Profiles Best Estimate Value-Added Product Technical Report R Newsom January 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States 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, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof. The views and

132

An estimate for the rank of the intersection of subgroups in free amalgamated products of two groups with normal finite amalgamated subgroup  

SciTech Connect

We generalize the estimate for the rank of intersection of subgroups in free products of groups, proved earlier by Ivanov and Dicks (which is analogous to the Hanna Neumann inequality in free groups) to the case of free amalgamated products of groups with normal finite amalgamated subgroup. We also prove that the estimate obtained is sharp and cannot be further improved when the amalgamated product contains an involution. Bibliography: 11 titles.

Zakharov, Alexander O [M. V. Lomonosov Moscow State University, Faculty of Mechanics and Mathematics, Moscow (Russian Federation)] [M. V. Lomonosov Moscow State University, Faculty of Mechanics and Mathematics, Moscow (Russian Federation)

2013-02-28T23:59:59.000Z

133

Estimating Hydrogen Production Potential in Biorefineries Using Microbial Electrolysis Cell Technology  

Science Conference Proceedings (OSTI)

Microbial electrolysis cells (MECs) are devices that use a hybrid biocatalysis-electrolysis process for production of hydrogen from organic matter. Future biofuel and bioproducts industries are expected to generate significant volumes of waste streams containing easily degradable organic matter. The emerging MEC technology has potential to derive added- value from these waste streams via production of hydrogen. Biorefinery process streams, particularly the stillage or distillation bottoms contain underutilized sugars as well as fermentation and pretreatment byproducts. In a lignocellulosic biorefinery designed for producing 70 million gallons of ethanol per year, up to 7200 m3/hr of hydrogen can be generated. The hydrogen can either be used as an energy source or a chemical reagent for upgrading and other reactions. The energy content of the hydrogen generated is sufficient to meet 57% of the distillation energy needs. We also report on the potential for hydrogen production in existing corn mills and sugar-based biorefineries. Removal of the organics from stillage has potential to facilitate water recycle. Pretreatment and fermentation byproducts generated in lignocellulosic biorefinery processes can accumulate to highly inhibitory levels in the process streams, if water is recycled. The byproducts of concern including sugar- and lignin- degradation products such as furans and phenolics can also be converted to hydrogen in MECs. We evaluate hydrogen production from various inhibitory byproducts generated during pretreatment of various types of biomass. Finally, the research needs for development of the MEC technology and aspects particularly relevant to the biorefineries are discussed.

Borole, Abhijeet P [ORNL; Mielenz, Jonathan R [ORNL

2011-01-01T23:59:59.000Z

134

Application of cycle-based simulation to estimate loss of logistics productivity on construction sites  

Science Conference Proceedings (OSTI)

Logistics management is a critical factor that determines the successful delivery of a construction project. The logistics activities have close connection with other logistics/construction activities, often producing hazards on site. Moreover, the policies ... Keywords: cycle-based simulation, hazard prevention, hazardous interaction, logistics productivity loss, safety

Feng Xu; Yuanbin Song; Hao Hu

2012-09-01T23:59:59.000Z

135

Utah Lease Condensate Proved Reserves, Reserve Changes, and Production  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 View History Proved Reserves as of Dec. 31 52 62 90 69 78 2007-2011 Adjustments 2 3 -3 2009-2011 Revision Increases 36 6 9 2009-2011 Revision Decreases 7...

136

Techniques and Methods Used to Determine the Aerosol Best Estimate Value-Added Product at SGP Central Facility  

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

Determine the Aerosol Best Estimate Value-Added Product at SGP Central Facility C. Sivaraman, D. D. Turner, and C. J. Flynn Pacific Northwest National Laboratory Richland, Washington Objective Profiles of aerosol optical properties are needed for radiative closure exercises such as the broadband heating rate profile (BBHRP) project (Mlawer et al. 2002) and the Shortwave Quality Measurement Experiment (QME). Retrieving cloud microphysical properties using radiation measurements in the shortwave, such as the spectral retrieval technique described in Daniel et al. (2002), also require the optical properties of the aerosols so that they can be accounted for in the retrieval process. The objective of the aerosol best estimate (ABE) value-added procedure (VAP) is to provide profiles of

137

Michigan Shale Gas Proved Reserves, Reserves Changes, and Production  

Annual Energy Outlook 2012 (EIA)

3,281 2,894 2,499 2,306 1,947 2007-2011 Adjustments -167 305 31 2009-2011 Revision Increases 149 165 140 2009-2011 Revision Decreases 276 325 151 2009-2011 Sales 0 553 682...

138

Texas Shale Gas Proved Reserves, Reserves Changes, and Production  

Annual Energy Outlook 2012 (EIA)

17,256 22,667 28,167 38,048 49,588 2007-2011 Adjustments 990 2,940 450 2009-2011 Revision Increases 2,052 3,580 12,185 2009-2011 Revision Decreases 1,267 2,425 10,263 2009-2011...

139

Louisiana Shale Gas Proved Reserves, Reserves Changes, and Production  

Annual Energy Outlook 2012 (EIA)

6 858 9,307 20,070 21,950 2007-2011 Adjustments 131 2,347 -172 2009-2011 Revision Increases 636 1,856 2,002 2009-2011 Revision Decreases 826 1,878 3,882 2009-2011 Sales 3 11 3,782...

140

Arkansas Shale Gas Proved Reserves, Reserves Changes, and Production  

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

1,460 3,833 9,070 12,526 14,808 2007-2011 Adjustments 2 63 655 2009-2011 Revision Increases 1,585 861 502 2009-2011 Revision Decreases 261 126 141 2009-2011 Sales 3 336 6,087...

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Oklahoma Shale Gas Proved Reserves, Reserves Changes, and Production  

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

44 3,845 6,389 9,670 10,733 2007-2011 Adjustments 1 713 216 2009-2011 Revision Increases 1,373 1,352 3,709 2009-2011 Revision Decreases 865 2,117 5,024 2009-2011 Sales 0 0 1,591...

142

Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program  

Science Conference Proceedings (OSTI)

ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2006, US EPA?S ENERGY STAR labeled products saved 4.8 EJ of primary energy and avoided 82 Tg C equivalent. We project that US EPA?S ENERGY STAR labeled products will save 12.8 EJ and avoid 203 Tg C equivalent over the period 2007-2015. A sensitivity analysis examining two key inputs (carbon factor and ENERGY STAR unit sales) bounds the best estimate of carbon avoided between 54 Tg C and 107 Tg C (1993 to 2006) and between 132 Tg C and 278 Tg C (2007 to 2015).

Sanchez, Marla Christine; Sanchez, Marla Christine; Brown, Richard; Homan, Gregory; Webber, Carrie

2008-06-03T23:59:59.000Z

143

Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2010 Update  

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

Mass Production Cost Estimation for Direct H 2 PEM Fuel Cell Systems for Automotive Applications: 2010 Update September 30, 2010 Prepared by: Brian D. James, Jeffrey A. Kalinoski & Kevin N. Baum One Virginia Square 3601 Wilson Boulevard, Suite 650 Arlington, Virginia 22201 703-243-3383 Prepared under: Subcontract No. AGB-0-40628-01 to the National Renewable Energy Laboratory (NREL) under Prime Contract No. DE-AC36-08GO28308 to the U.S. Department of Energy Foreword Energy security is fundamental to the mission of the U.S. Department of Energy (DOE) and hydrogen fuel cell vehicles have the potential to eliminate the need for oil in the transportation sector. Fuel cell vehicles can operate on hydrogen, which can be produced domestically, emitting less greenhouse gasses and pollutants than

144

Lease Condensate Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

82 181 173 178 224 231 1979-2011 82 181 173 178 224 231 1979-2011 Federal Offshore U.S. 58 58 41 48 48 40 1981-2011 Pacific (California) 0 0 0 0 0 0 1979-2011 Louisiana & Alabama 37 40 28 28 28 24 1981-2011 Texas 21 18 13 20 20 16 1981-2011 Alaska 0 0 0 0 0 20 1979-2011 Lower 48 States 182 181 173 178 224 211 1979-2011 Alabama 2 2 2 2 2 2 1979-2011 Arkansas 0 0 0 0 0 0 1979-2011 California 0 0 0 0 0 0 1979-2011 Coastal Region Onshore 0 0 0 0 0 0 1979-2011 Los Angeles Basin Onshore 0 0 0 0 0 0 1979-2011 San Joaquin Basin Onshore 0 0 0 0 0 0 1979-2011 State Offshore 0 0 0 0 0 0 1979-2011 Colorado 6 6 7 7 7 8 1979-2011 Florida 0 0 0 0 0 0 1979-2011 Kansas 1 1 1 1 2 1 1979-2011 Kentucky 0 0 0 0 0 0 1979-2011

145

Coalbed Methane Estimated Production  

Annual Energy Outlook 2012 (EIA)

2006 2007 2008 2009 2010 2011 View History U.S. 1,758 1,753 1,966 1,914 1,886 1,763 1989-2011 Federal Offshore U.S. 0 0 0 0 0 0 2005-2011 Pacific (California) 0 0 0 0 0 0 2005-2011...

146

Estimates of global, regional, and national annual CO{sub 2} emissions from fossil-fuel burning, hydraulic cement production, and gas flaring: 1950--1992  

SciTech Connect

This document describes the compilation, content, and format of the most comprehensive C0{sub 2}-emissions database currently available. The database includes global, regional, and national annual estimates of C0{sub 2} emissions resulting from fossil-fuel burning, cement manufacturing, and gas flaring in oil fields for 1950--92 as well as the energy production, consumption, and trade data used for these estimates. The methods of Marland and Rotty (1983) are used to calculate these emission estimates. For the first time, the methods and data used to calculate CO, emissions from gas flaring are presented. This C0{sub 2}-emissions database is useful for carbon-cycle research, provides estimates of the rate at which fossil-fuel combustion has released C0{sub 2} to the atmosphere, and offers baseline estimates for those countries compiling 1990 C0{sub 2}-emissions inventories.

Boden, T.A.; Marland, G. [Oak Ridge National Lab., TN (United States); Andres, R.J. [University of Alaska, Fairbanks, AK (United States). Inst. of Northern Engineering

1995-12-01T23:59:59.000Z

147

Product Pricing in TAC SCM using Adaptive Real-Time Probability of Acceptance Estimations based on Economic Regimes  

E-Print Network (OSTI)

is fulfilled. In the sales process configuration used as benchmark in our research, price trends are estimated); trends = getTrends(d, g); // Estimate parameters using RBFNs priceDistr = estParams(regPriceDistr, getDistr, error, regProbs); // Retrieve allocated quota quota = getQuota(d, g, median, trends); // Determine price

Ketter, Wolfgang

148

Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program  

E-Print Network (OSTI)

energy performance including new technologies and market trends,the ENERGY STAR brand; BAU technology trends and/or marketenergy performance of individual product types, continuing to aggressively target new product technologies and consumer usage/market trends

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

149

Mass Production Cost Estimation For Direct H2 PEM Fuel Cell Systesm for Automotive Applications: 2010 Update  

Fuel Cell Technologies Publication and Product Library (EERE)

This report is the fourth annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing costs of complete 80 kWnet direct?hydrogen proton ex

150

Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2007 Update  

Fuel Cell Technologies Publication and Product Library (EERE)

This report estimates fuel cell system cost for systems produced in the years 2007, 2010, and 2015, and is the first annual update of a comprehensive automotive fuel cell cost analysis.

151

Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2008 Update  

Fuel Cell Technologies Publication and Product Library (EERE)

This report estimates fuel cell system cost for systems produced in the years 2006, 2010, and 2015, and is the second annual update of a comprehensive automotive fuel cell cost analysis.

152

Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2009 Update  

Fuel Cell Technologies Publication and Product Library (EERE)

This report is the third annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing cost of complete 80 kWnet direct hydrogen proton exch

153

A Comparison of Southern Ocean Air–Sea Buoyancy Flux from an Ocean State Estimate with Five Other Products  

Science Conference Proceedings (OSTI)

The authors have intercompared the following six surface buoyancy flux estimates, averaged over the years 2005–07: two reanalyses [the recent ECMWF reanalysis (ERA-Interim; hereafter ERA), and the National Centers for Environmental Prediction (...

Ivana Cerove?ki; Lynne D. Talley; Matthew R. Mazloff

2011-12-01T23:59:59.000Z

154

Deterministic and stochastic analyses to quantify the reliability of uncertainty estimates in production decline modeling of shale gas reservoirs.  

E-Print Network (OSTI)

??Decline curve analysis seeks to predict the future performance of oil and gas wells by fitting a mathematical function to historical production data and extrapolating… (more)

Johanson, Brent L.

2013-01-01T23:59:59.000Z

155

SCHOOL OF ENGINEERING 2009-2011 RESEARCH REPORT  

E-Print Network (OSTI)

that Release Therapeutic Agents to modulate Inflammation Following Spinal Cord Injury," National Institutes Crosslinking Effects on Bone Fragility," National Institutes of health (NIh) / The National Institute of Dental in Cortical Bone: Effect of mineral Content," J mechanical Behavior of Biomedical materials, 3(5), 405

Salama, Khaled

156

WindSENSE Project Summary: FY2009-2011  

DOE Green Energy (OSTI)

Renewable resources, such as wind and solar, are providing an increasingly larger percentage of our energy needs. To successfully integrate these intermittent resources into the power grid while maintaining its reliability, we need to better understand the characteristics and predictability of the variability associated with these power generation resources. WindSENSE, a three year project at Lawrence Livermore National Laboratory, considered the problem of scheduling wind energy on the grid from the viewpoint of the control room operator. Our interviews with operators at Bonneville Power Administration (BPA), Southern California Edison (SCE), and California Independent System Operator (CaISO), indicated several challenges to integrating wind power generation into the grid. As the percentage of installed wind power has increased, the variable nature of the generation has become a problem. For example, in the Bonneville Power Administration (BPA) balancing area, the installed wind capacity has increased from 700 MW in 2006-2007 to over 1300 MW in 2008 and more than 2600 MW in 2009. To determine the amount of energy to schedule for the hours ahead, operators typically use 0-6 hour ahead forecasts, along with the actual generation in the previous hours and days. These forecasts are obtained from numerical weather prediction (NWP) simulations or based on recent trends in wind speed in the vicinity of the wind farms. However, as the wind speed can be difficult to predict, especially in a region with complex terrain, the forecasts can be inaccurate. Complicating matters are ramp events, where the generation suddenly increases or decreases by a large amount in a short time (Figure 1, right panel). These events are challenging to predict, and given their short duration, make it difficult to keep the load and the generation balanced. Our conversations with BPA, SCE, and CaISO indicated that control room operators would like (1) more accurate wind power generation forecasts for use in scheduling and (2) additional information that can be exploited when the forecasts do not match the actual generation. To achieve this, WindSENSE had two areas of focus: (1) analysis of historical data for better insights, and (2) observation targeting for improved forecasts. The goal was to provide control room operators with an awareness of wind conditions and energy forecasts so they can make well-informed scheduling decisions, especially in the case of extreme events such as ramps.

Kamath, C

2011-09-25T23:59:59.000Z

157

Comparing Satellite and Surface Rainfall Products over West Africa at Meteorologically Relevant Scales during the AMMA Campaign Using Error Estimates  

Science Conference Proceedings (OSTI)

Monsoon rainfall is central to the climate of West Africa, and understanding its variability is a challenge for which satellite rainfall products could be well suited to contribute to. Their quality in this region has received less attention than ...

Rémy Roca; Philippe Chambon; Isabelle Jobard; Pierre-Emmanuel Kirstetter; Marielle Gosset; Jean Claude Bergès

2010-04-01T23:59:59.000Z

158

Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program  

E-Print Network (OSTI)

requirements in sleep mode, standby mode and on or idlerequirements (sleep and standby) depending on a product’sof a device in its standby mode. Savings are assumed to

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

159

Stretched Exponential Decline Model as a Probabilistic and Deterministic Tool for Production Forecasting and Reserve Estimation in Oil and Gas Shales  

E-Print Network (OSTI)

Today everyone seems to agree that ultra-low permeability and shale reservoirs have become the potentials to transform North America's oil and gas industry to a new phase. Unfortunately, transient flow is of long duration (perhaps life of the well) in ultra-low permeability reservoirs, and traditional decline curve analysis (DCA) models can lead to significantly over-optimistic production forecasts without additional safeguards. Stretched Exponential decline model (SEDM) gives considerably more stabilized production forecast than traditional DCA models and in this work it is shown that it produces unchanging EUR forecasts after only two-three years of production data are available in selected reservoirs, notably the Barnett Shale. For an individual well, the SEDM model parameters, can be determined by the method of least squares in various ways, but the inherent nonlinear character of the least squares problem cannot be bypassed. To assure a unique solution to the parameter estimation problem, this work suggests a physics-based regularization approach, based on critical velocity concept. Applied to selected Barnett Shale gas wells, the suggested method leads to reliable and consistent EURs. To further understand the interaction of the different fracture properties on reservoir response and production decline curve behavior, a series of Discrete Fracture Network (DFN) simulations were performed. Results show that at least a 3-layer model is required to reproduce the decline behavior as captured in the published SEDM parameters for Barnett Shale. Further, DFN modeling implies a large number of parameters like fracture density and fracture length are in such a way that their effect can be compensated by the other one. The results of DFN modeling of several Barnett Shale horizontal wells, with numerous fracture stages, showed a very good agreement with the estimated SEDM model for the same wells. Estimation of P90 reserves that meet SEC criteria is required by law for all companies that raise capital in the United States. Estimation of P50 and P10 reserves that meet SPE/WPC/AAPG/SPEE Petroleum Resources Management System (PRMS) criteria is important for internal resource inventories for most companies. In this work a systematic methodology was developed to quantify the range of uncertainty in production forecast using SEDM. This methodology can be used as a probabilistic tool to quantify P90, P50, and P10 reserves and hence might provide one possible way to satisfy the various legal and technical-society-suggested criteria.

Akbarnejad Nesheli, Babak

2012-05-01T23:59:59.000Z

160

Measurements of the top quark pair production cross section and an estimate of the D0 silicon detector lifetime  

SciTech Connect

This thesis presents two measurements of the top quark pair production cross section at {radical}s = 1:96 TeV using data from the D0 experiment. Both measurements are performed in the dilepton final state and make use of secondary vertex b-tagging.

Strandberg, Sara; /Stockholm U.

2007-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Estimating above-ground net primary productivity of the tallgrass prairie ecosystem of the Central Great Plains using AVHRR NDVI  

Science Conference Proceedings (OSTI)

Above-ground net primary productivity ANPP is indicative of an ecosystem's ability to capture solar energy and convert it to organic carbon or biomass, which may be used by consumers or decomposers, or stored in the form of living and nonliving organic ...

Nan An, KevinP. Price, JohnM. Blair

2013-06-01T23:59:59.000Z

162

Alaska Shale Gas Proved Reserves, Reserves Changes, and Production  

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

2007 2008 2009 2010 2011 View History Proved Reserves as of Dec. 31 0 0 0 0 0 2007-2011 Adjustments 0 0 0 2009-2011 Revision Increases 0 0 0 2009-2011 Revision Decreases 0 0 0...

163

Production  

E-Print Network (OSTI)

There are serious concerns about the greenhouse gas (GHG) emissions, energy and nutrient and water use efficiency of large-scale, first generation bio-energy feedstocks currently in use. A major question is whether biofuels obtained from these feedstocks are effective in combating climate change and what impact they will have on soil and water resources. Another fundamental issue relates to the magnitude and nature of their impact on food prices and ultimately on the livelihoods of the poor. A possible solution to overcome the current potentially large negative effects of large-scale biofuel production is developing second and third generation conversion techniques from agricultural residues and wastes and step up the scientific research efforts to achieve sustainable biofuel production practices. Until such sustainable techniques are available governments should scale back their support for and promotion of biofuels. Multipurpose feedstocks should be investigated making use of the bio-refinery concept (bio-based economy). At the same time, the further development of non-commercial, small scale

Science Council Secretariat

2008-01-01T23:59:59.000Z

164

Natural Gas Liquids Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

802 827 788 811 831 840 1979-2008 802 827 788 811 831 840 1979-2008 Federal Offshore U.S. 148 155 123 125 127 94 1981-2008 Pacific (California) 0 0 0 0 0 0 1979-2008 Louisiana & Alabama 120 127 98 102 108 80 1981-2008 Texas 28 28 25 23 19 14 1981-2008 Alaska 18 18 17 14 13 13 1979-2008 Lower 48 States 784 809 771 797 818 827 1979-2008 Alabama 5 4 5 5 4 9 1979-2008 Arkansas 0 0 0 0 0 0 1979-2008 California 10 10 11 11 11 11 1979-2008 Coastal Region Onshore 1 1 1 1 1 1 1979-2008 Los Angeles Basin Onshore 0 0 0 0 0 0 1979-2008 San Joaquin Basin Onshore 9 9 10 10 10 10 1979-2008 State Offshore 0 0 0 0 0 0 1979-2008 Colorado 29 32 31 32 33 45 1979-2008 Florida 1 0 0 0 0 0 1979-2008 Kansas 23 22 20 19 19 19 1979-2008

165

Shale Natural Gas Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

1,293 2,116 3,110 5,336 7,994 2007-2011 1,293 2,116 3,110 5,336 7,994 2007-2011 Alaska 0 0 0 0 0 2007-2011 Lower 48 States 1,293 2,116 3,110 5,336 7,994 2007-2011 Alabama 0 0 0 0 2007-2010 Arkansas 94 279 527 794 940 2007-2011 California 101 2011-2011 San Joaquin Basin Onshore 101 2011-2011 Colorado 0 0 1 1 3 2007-2011 Kentucky 2 2 5 4 4 2007-2011 Louisiana 1 23 293 1,232 2,084 2007-2011 North 1 23 293 1,232 2,084 2007-2011 South Onshore 0 2011-2011 Michigan 148 122 132 120 106 2007-2011 Montana 12 13 7 13 13 2007-2011 New Mexico 2 0 2 6 9 2007-2011 East 2 0 1 3 5 2007-2011 West 0 0 1 3 4 2007-2011 North Dakota 3 3 25 64 95 2007-2011 Ohio 0 0 0 0 2007-2010 Oklahoma 40 168 249 403 476 2007-2011 Pennsylvania 1 1 65 396 1,068 2007-2011

166

Natural Gas Liquids Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

802 827 788 811 831 840 1979-2008 802 827 788 811 831 840 1979-2008 Federal Offshore U.S. 148 155 123 125 127 94 1981-2008 Pacific (California) 0 0 0 0 0 0 1979-2008 Louisiana & Alabama 120 127 98 102 108 80 1981-2008 Texas 28 28 25 23 19 14 1981-2008 Alaska 18 18 17 14 13 13 1979-2008 Lower 48 States 784 809 771 797 818 827 1979-2008 Alabama 5 4 5 5 4 9 1979-2008 Arkansas 0 0 0 0 0 0 1979-2008 California 10 10 11 11 11 11 1979-2008 Coastal Region Onshore 1 1 1 1 1 1 1979-2008 Los Angeles Basin Onshore 0 0 0 0 0 0 1979-2008 San Joaquin Basin Onshore 9 9 10 10 10 10 1979-2008 State Offshore 0 0 0 0 0 0 1979-2008 Colorado 29 32 31 32 33 45 1979-2008 Florida 1 0 0 0 0 0 1979-2008 Kansas 23 22 20 19 19 19 1979-2008

167

Shale Natural Gas Estimated Production  

Annual Energy Outlook 2012 (EIA)

3+ or Netscape Navigator 3+ Make sure that JavaScript is enabled in your browser Shale Gas (Billion Cubic Feet) Data Series: Proved Reserves as of Dec. 31 Adjustments...

168

Utah Nonassociated Natural Gas, Wet After Lease Separation, Estimated...  

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

Estimated Production from Reserves (Billion Cubic Feet) Utah Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade...

169

Evaluation of Precipitation Estimation Accuracy in Reanalyses, Satellite Products, and an Ensemble Method for Regions in Australia and South and East Asia  

Science Conference Proceedings (OSTI)

Precipitation estimates from reanalyses and satellite observations are routinely used in hydrologic applications, but their accuracy is seldom systematically evaluated. This study used high-resolution gauge-only daily precipitation analyses for ...

Jorge L. Peña-Arancibia; Albert I. J. M. van Dijk; Luigi J. Renzullo; Mark Mulligan

2013-08-01T23:59:59.000Z

170

A Thesis in Two Parts: Estimating Willingness-to-Pay for Cellulosic Wood Ethanol and Examining the Social Costs of Hydroelectric Production in Quebec, Canada.  

E-Print Network (OSTI)

??This thesis consists of two parts, the first of which examines a demand-side aspect of the emerging biofuels market by estimating New England residents' willingness-to-pay… (more)

Farrow, Katherine

2012-01-01T23:59:59.000Z

171

ARM Climate Modeling Best Estimate from Manus Island, PNG with additional satellite product (ARMBE-CLDRAD TWPC1 V2.1a)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2011-02-07T23:59:59.000Z

172

ARM Climate Modeling Best Estimate Barrow, AK with additional satellite product (ARMBE-CLDRAD NSAC1 V2.1a)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2011-02-07T23:59:59.000Z

173

ARM Climate Modeling Best Estimate from Nauru with additional satellite product (ARMBE-CLDRAD TWPC2 V2.1a)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2011-02-07T23:59:59.000Z

174

ARM Climate Modeling Best Estimate from Darwin, AU with additional satellite product (ARMBE-CLDRAD TWPC3 V2.1a)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2011-02-07T23:59:59.000Z

175

ARM Climate Modeling Best Estimate from Manus Island, PNG with additional satellite product (ARMBE-CLDRAD TWPC1 V2.1a)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

176

ARM Climate Modeling Best Estimate from Darwin, AU with additional satellite product (ARMBE-CLDRAD TWPC3 V2.1a)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

177

ARM Climate Modeling Best Estimate Barrow, AK with additional satellite product (ARMBE-CLDRAD NSAC1 V2.1a)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

178

ARM Climate Modeling Best Estimate from Nauru with additional satellite product (ARMBE-CLDRAD TWPC2 V2.1a)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

179

California - San Joaquin Basin Onshore Crude Oil Estimated ...  

U.S. Energy Information Administration (EIA)

California - San Joaquin Basin Onshore Crude Oil Estimated Production from Reserves (Million Barrels)

180

Validation of TRMM and Other Rainfall Estimates with a High-Density Gauge Dataset for West Africa. Part II: Validation of TRMM Rainfall Products  

Science Conference Proceedings (OSTI)

Gauge data from a West African network of 920 stations are used to assess Tropical Rainfall Measuring Mission (TRMM) satellite and blended rainfall products for 1998. In this study, mean fields, scattergrams, and latitudinal transects for the ...

S. E. Nicholson; B. Some; J. McCollum; E. Nelkin; D. Klotter; Y. Berte; B. M. Diallo; I. Gaye; G. Kpabeba; O. Ndiaye; J. N. Noukpozounkou; M. M. Tanu; A. Thiam; A. A. Toure; A. K. Traore

2003-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

Estimates of state energy-related carbon dioxide emissions Estimates of state energy-related carbon dioxide emissions Because energy-related carbon dioxide (CO 2 ) constitutes over 80 percent of total emissions, the state energy-related CO 2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO 2 are based on data contained in the State Energy Data System (SEDS). 1 The state-level emissions estimates are based on energy consumption data for the following fuel categories: three categories of coal (residential/commercial, industrial, and electric power sector); natural gas; and ten petroleum products including-- asphalt and road oil, aviation gasoline, distillate fuel, jet fuel, kerosene, liquefied petroleum gases

182

State estimation on correlated copies  

E-Print Network (OSTI)

State estimation is usually analyzed in the situation when copies are in a product state, either mixed or pure. We investigate here the concept of state estimation on correlated copies. We analyze state estimation on correlated N qubit states, which are permutationally invariant. Using a correlated state we try to estimate as good as possible the direction of the Bloch vector of a single particle reduced density matrix. We derive the optimal fidelity for all permutation invariant states. We find the optimal state, which yields the highest estimation fidelity among the states with the same reduced density matrix. Interestingly this state is not a product state. We also point out that states produced by optimal universal cloning machines are the worst form the point of view of estimating the reduced density matrix.

Rafal Demkowicz-Dobrzanski

2004-12-20T23:59:59.000Z

183

Application of the CALIOP Layer Product to Evaluate the Vertical Distribution of Aerosols Estimated by Global Models: AeroCom Phase I Results  

Science Conference Proceedings (OSTI)

The CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) layer product is used for a multimodel evaluation of the vertical distribution of aerosols. Annual and seasonal aerosol extinction profiles are analyzed over 13 sub-continental regions representative of industrial, dust, and biomass burning pollution, from CALIOP 2007-2009 observations and from AeroCom (Aerosol Comparisons between Observations and Models) 2000 simulations. An extinction mean height diagnostic (Z{sub a}) is defined to quantitatively assess the models performance. It is calculated over the 0-6 km and 0-10 km altitude ranges by weighting the altitude of each 100 m altitude layer by its aerosol extinction coefficient. The mean extinction profiles derived from CALIOP layer products provide consistent regional and seasonal specificities and a low inter-annual variability. While the outputs from most models are significantly correlated with the observed Z{sub a} climatologies, some do better than others, and 2 of the 12 models perform particularly well in all seasons. Over industrial and maritime regions, most models show higher Z{sub a} than observed by CALIOP, whereas over the African and Chinese dust source regions, Z{sub a} is underestimated during Northern Hemisphere Spring and Summer. The positive model bias in Z{sub a} is mainly due to an overestimate of the extinction above 6 km. Potential CALIOP and model limitations, and methodological factors that might contribute to the differences are discussed.

Koffi, Brigitte; Schultz, Michael; Breon, Francois-Marie; Griesfeller, Jan; Winker, D.; Balkanski, Y.; Bauer, Susanne E.; Berntsen, T.; Chin, Mian; Collins, William D.; Dentener, Frank; Diehl, Thomas; Easter, Richard C.; Ghan, Steven J.; Ginoux, P.; Gong, S.; Horowitz, L.; Iversen, T.; Kirkevag, A.; Koch, Dorothy; Krol, Maarten; Myhre, G.; Stier, P.; Takemura, T.

2012-05-19T23:59:59.000Z

184

Validation of TRMM and Other Rainfall Estimates with a High-Density Gauge Dataset for West Africa. Part I: Validation of GPCC Rainfall Product and Pre-TRMM Satellite and Blended Products  

Science Conference Proceedings (OSTI)

Gauge data over North Africa are used to provide an assessment of satellite and blended rainfall products for 1988–94 and for 1998. A comparison is also made with the Global Precipitation Climatology Center (GPCC) gauge dataset. For the 1988–94 ...

S. E. Nicholson; B. Some; J. McCollum; E. Nelkin; D. Klotter; Y. Berte; B. M. Diallo; I. Gaye; G. Kpabeba; O. Ndiaye; J. N. Noukpozounkou; M. M. Tanu; A. Thiam; A. A. Toure; A. K. Traore

2003-10-01T23:59:59.000Z

185

NPP Estimation for Grasslands  

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

NPP for Grasslands NPP for Grasslands Introduction The Oak Ridge DAAC Net Primary Production (NPP) Database includes field measurements from grassland study sites worldwide. The following brief review and discussion is intended to explain the complexity of NPP estimates derived from grassland measurements. There is no single answer to the question, "What is the productivity of the ecosystem at study site A?"; rather there may be range of estimates of NPP, depending upon what data were actually collected and how these data are processed. Although some of these methods for determining NPP for grasslands may be applicable to other vegetation types (e.g., semi-deserts, tundra, or some crops), methods for forests, in particular, are significantly different. Nevertheless, it should be possible to answer the question, "Is this modelled value of NPP reasonable for this ecosystem type at this location?"

186

Intermediate-Term Uranium Supply Curve Estimation  

Science Conference Proceedings (OSTI)

A study was undertaken to estimate U.S. natural uranium supply capacities and associated production costs over the period 1979-1990 and to develop the general supply outlook to 2000. Annual supply capacity schedules were estimated on an individual mill and mine family basis. Future production schedules were estimated by balancing estimated supply capacity with DOE's future demand projections; the impact of private-sector inventory levels was accounted for.

1981-02-01T23:59:59.000Z

187

Utah Natural Gas, Wet After Lease Separation Reserves Estimated...  

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

Estimated Production (Billion Cubic Feet) Utah Natural Gas, Wet After Lease Separation Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

188

Natural Gas Production  

U.S. Energy Information Administration (EIA)

Natural Gas Production. Measured By. Disseminated Through. Survey of Producing States and Mineral Management Service “Evolving Estimate” in Natural Gas Monthly.

189

NATIONAL EVALUATION OF THE WEATHERIZATION ASSISTANCE PROGRAM DURING THE ARRA PERIOD: PROGRAM YEARS 2009-2011  

SciTech Connect

This report describes the third major evaluation of the Program, encompassing program years 2009 to 2011. In this report, this period of time is referred to as the ARRA Period. This is a special period of time for the Program because the American Recovery and Reinvestment Act (ARRA) of 2009 has allocated $5 billion of funding for the Program. In normal program years, WAP s annual appropriation is in the range of $200-250 million, supporting the weatherization of approximately 100,000 homes. With the addition of ARRA funding during these program years, the expectation is that weatherization activity will exceed 300,000 homes per year. In addition to saving energy and reducing low-income energy bills, expanded WAP funding is expected to stimulate the economy by providing new jobs in the weatherization field and allowing low-income households to spend more money on goods and services by spending less on energy.

Tonn, Bruce Edward [ORNL; Rose, Erin M [ORNL; Schmoyer, Richard L [ORNL; Eisenberg, Joel Fred [ORNL; Ternes, Mark P [ORNL; Schweitzer, Martin [ORNL; Hendrick, Timothy P [ORNL

2012-08-01T23:59:59.000Z

190

GREEN UNIVERSITY COMMITTEE UNBC Green Strategy, Phase 1 (2009-2011)  

E-Print Network (OSTI)

after nature ­ Develop a waste management system, including energy waste, that institutes meaningful waste disposal, ecosystem degradation, and climate change. As a result of the confluence of natural in general. CAMPUS SECTORS ENERGY · To maximize energy efficiencies of present UNBC energy systems ­ Conduct

Northern British Columbia, University of

191

Microsoft Word - FINAL DOE IRM Strategic Plan_2009-2011_090808...  

Office of Legacy Management (LM)

... 10 Objective 3: Deploy a Corporate Asset Management system to identify and mitigate vulnerability in information systems, and maintain...

192

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

· Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining the equipment for reclamation? Types of Costs #12;· Marginal Cost: ­ Change in total cost ­ Any production process involves fixed and variable costs. As production increases/expands, fixed costs are unchanged, so

Boisvert, Jeff

193

Dry Natural Gas Reserves Estimated Production  

Gasoline and Diesel Fuel Update (EIA)

8,545 19,466 20,523 21,594 22,239 23,555 1977-2011 8,545 19,466 20,523 21,594 22,239 23,555 1977-2011 Federal Offshore U.S. 2,775 2,731 2,250 2,377 2,154 1,660 1990-2011 Pacific (California) 37 40 36 37 28 31 1977-2011 Louisiana & Alabama 1,973 2,066 1,752 1,886 1,717 1,311 1981-2011 Texas 765 625 462 454 409 318 1981-2011 Alaska 408 388 354 358 317 327 1977-2011 Lower 48 States 18,137 19,078 20,169 21,236 21,922 23,228 1977-2011 Alabama 287 274 257 254 223 218 1977-2011 Arkansas 188 269 456 698 951 1,079 1977-2011 California 255 253 237 239 243 311 1977-2011 Coastal Region Onshore 9 12 11 12 12 11 1977-2011 Los Angeles Basin Onshore 8 8 6 7 6 6 1977-2011 San Joaquin Basin Onshore 232 227 217 214 220 289 1977-2011 State Offshore 6 6 3 6 5 5 1977-2011

194

Dry Natural Gas Reserves Estimated Production  

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

8,545 19,466 20,523 21,594 22,239 23,555 1977-2011 8,545 19,466 20,523 21,594 22,239 23,555 1977-2011 Federal Offshore U.S. 2,775 2,731 2,250 2,377 2,154 1,660 1990-2011 Pacific (California) 37 40 36 37 28 31 1977-2011 Louisiana & Alabama 1,973 2,066 1,752 1,886 1,717 1,311 1981-2011 Texas 765 625 462 454 409 318 1981-2011 Alaska 408 388 354 358 317 327 1977-2011 Lower 48 States 18,137 19,078 20,169 21,236 21,922 23,228 1977-2011 Alabama 287 274 257 254 223 218 1977-2011 Arkansas 188 269 456 698 951 1,079 1977-2011 California 255 253 237 239 243 311 1977-2011 Coastal Region Onshore 9 12 11 12 12 11 1977-2011 Los Angeles Basin Onshore 8 8 6 7 6 6 1977-2011 San Joaquin Basin Onshore 232 227 217 214 220 289 1977-2011 State Offshore 6 6 3 6 5 5 1977-2011

195

Dry Natural Gas Estimated Production (Summary)  

Annual Energy Outlook 2012 (EIA)

274 257 254 223 218 1977-2011 Alaska 408 388 354 358 317 327 1977-2011 Arkansas 188 269 456 698 951 1,079 1977-2011 California 255 253 237 239 243 311 1977-2011 Colorado 1,174...

196

Estimation Methodology for Natural Gas Production  

U.S. Energy Information Administration (EIA)

ProdDate=200103 Frequency Count COUNT Frequency Percent Test Percent 4429 4429 67.64 67.70 701 701 10.71 10.61 472 472 7.21 7.24 329 329 5.02 4.94 213 213 3 .25 3.37 ...

197

Dry Natural Gas Estimated Production (Summary)  

Gasoline and Diesel Fuel Update (EIA)

8,545 19,466 20,523 21,594 22,239 23,555 1977-2011 8,545 19,466 20,523 21,594 22,239 23,555 1977-2011 Federal Offshore Gulf of Mexico 2,738 NA 1992-2007 Alabama 287 274 257 254 223 218 1977-2011 Alaska 408 388 354 358 317 327 1977-2011 Arkansas 188 269 456 698 951 1,079 1977-2011 California 255 253 237 239 243 311 1977-2011 Colorado 1,174 1,326 1,441 1,524 1,590 1,694 1977-2011 Florida 2 4 3 0 15 0 1977-2011 Kansas 350 361 357 334 305 285 1977-2011 Kentucky 66 80 93 108 96 101 1977-2011 Louisiana 1,309 1,257 1,319 1,544 2,189 2,985 1981-2011 Michigan 197 184 157 153 154 139 1977-2011 Mississippi 83 100 110 100 87 75 1977-2011 Montana 117 112 114 113 93 75 1977-2011 New Mexico 1,426 1,349 1,349 1,350 1,220 1,170 1977-2011 New York

198

State Energy Production Data  

Gasoline and Diesel Fuel Update (EIA)

State Energy Data System State Energy Data System Production Estimates Technical Notes For 1960-2011 Estimates Table of Contents Section 1. Introduction ................................................................................................................... 1 Section 2. Coal ............................................................................................................................... 5 Section 3. Crude Oil ....................................................................................................................... 7 Section 4. Natural Gas (Marketed Production) .............................................................................. 9 Section 5. Renewable Energy and Nuclear Energy ..................................................................... 13

199

Weekly Coal Production by State  

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

Weekly Coal Production Weekly Coal Production Data for week ended: December 14, 2013 | Release date: December 19, 2013 | Next release date: December 30, 2013 For the week ended December 14, 2013: U.S. coal production totaled approximately 18.9 million short tons (mmst) This production estimate is 3.1% higher than last week's estimate and 2.9% lower than the production estimate in the comparable week in 2012 Coal production east of the Mississippi River totaled 8.2 mmst Coal production west of the Mississippi River totaled 10.8 mmst U.S. year-to-date coal production totaled 957.1 mmst, 1.9% lower than the comparable year-to-date coal production in 2012 EIA revises its weekly estimates of state-level coal production using Mine Safety and Health Administration (MSHA) quarterly coal production data.

200

Estimated Global Hydrographic Variability  

Science Conference Proceedings (OSTI)

An estimate is made of the three-dimensional global oceanic temperature and salinity variability, omitting the seasonal cycle, both as a major descriptive element of the ocean circulation and for use in the error estimates of state estimation. ...

Gaël Forget; Carl Wunsch

2007-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Internal Dose Estimates from  

E-Print Network (OSTI)

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population...........................................................................................40 Comparison to dose estimates from global fallout

202

Types of Costs Types of Cost Estimates  

E-Print Network (OSTI)

05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408) costs apply to those items that are consumed in production process and are roughly proportional to level in cash flow analysis and in the decision to use the equipment for reclamation? Types of Costs #12

Boisvert, Jeff

203

Software Cost Estimation  

E-Print Network (OSTI)

Software cost estimation is the process of predicting the effort required to develop a software system. Many estimation models have been proposed over the last 30 years. This paper provides a general overview of software cost estimation methods including the recent advances in the field. As a number of these models rely on a software size estimate as input, we first provide an overview of common size metrics. We then highlight the cost estimation models that have been proposed and used successfully. Models may be classified into 2 major categories: algorithmic and non-algorithmic. Each has its own strengths and weaknesses. A key factor in selecting a cost estimation model is the accuracy of its estimates. Unfortunately, despite the large body of experience with estimation models, the accuracy of these models is not satisfactory. The paper includes comment on the performance of the estimation models and description of several newer approaches to cost estimation.

Hareton Leung Zhang; Zhang Fan

2002-01-01T23:59:59.000Z

204

Available Technologies: Ligninolytic Enzyme Production  

The estimated production cost of laccase using this technology is about 10-60% of current commercial prices. The efficient bioconversion of plant ...

205

Natural Gas Data Collection and Estimation  

Reports and Publications (EIA)

This presentation to the Oklahoma Independent Petroleum Association gives an overview of the EIA natural gas data collection system, Oklahoma natural gas statistics, recent changes in monthly natural gas production statistics, and the May 2010 short-term natural gas forecast. The presentation focuses on the EIA-914, the "Monthly Natural Gas Production Report," and recent changes to this survey's estimation methodology.

Information Center

2010-06-09T23:59:59.000Z

206

Microsoft PowerPoint - Cost Estimating for Hydro Planning  

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

Estimating for Hydropower Project Planning M Th Mona Thomason Chief, Product Coordination Branch Hydroelectric Design Center 13 J 2012 13 June 2012 US Army Corps of Engineers...

207

Bird Migration and Bias of WSR-88D Wind Estimates  

Science Conference Proceedings (OSTI)

Migrating birds can greatly influence base velocity, velocity azimuth display (VAD), and VAD wind profile products of the WSR-88D. This is documented by comparing estimates of wind velocity and direction from these products with corresponding ...

Sidney A. Gauthreaux Jr.; David S. Mizrahi; Carroll G. Belser

1998-06-01T23:59:59.000Z

208

Statistics of Sxy Estimates  

Science Conference Proceedings (OSTI)

The statistics of Sxy estimates derived from orthogonal-component measurements are examined. Based on results of Goodman, the probability density function (pdf) for Sxy(f) estimates is derived, and a closed-form solution for arbitrary moments of ...

M. H. Freilich; S. S. Pawka

1987-10-01T23:59:59.000Z

209

Cost Estimation Recommendations  

Science Conference Proceedings (OSTI)

...D.P. Hoult and C.L. Meador, Manufacturing Cost Estimating, Materials Selection and Design, Vol 20, ASM Handbook,

210

Estimating Climatological Bias Errors for the Global Precipitation Climatology Project (GPCP)  

Science Conference Proceedings (OSTI)

A procedure is described to estimate bias errors for mean precipitation by using multiple estimates from different algorithms, satellite sources, and merged products. The Global Precipitation Climatology Project (GPCP) monthly product is used as a ...

Robert F. Adler; Guojun Gu; George J. Huffman

2012-01-01T23:59:59.000Z

211

Estimating Corn Grain Yields  

E-Print Network (OSTI)

This publication explains how to estimate the grain yield of a corn crop before harvest. An interactive grain yield calculator is included. 6 pages, 3 tables, 1 figure.

Blumenthal, Jurg M.; Thompson, Wayne

2009-06-12T23:59:59.000Z

212

Derived Annual Estimates  

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

For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1988-1998 Total Energy *** Electricity ***...

213

Derived Annual Estimates  

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

For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1974-1988 Total Energy *** Electricity ***...

214

Cost estimating projects for large cutter and hopper dredges  

E-Print Network (OSTI)

Estimating the cost of a dredging project is the most important part of a project's life cycle. A precise account of the costs associated with performing dredging work begins with the production estimate and ends with the cost estimate. The production estimate is based on a clear understanding of some fundamental laws governing hydraulic transport including variations of the Bernoulli Equation. Newer theories concerning friction loss in a pipeline aid in the development of the production estimate phase of the program. Practical experience aids in the transition from production estimate to cost estimate. This thesis reviews the process of creating a program that for the first time provides users not associated with the government or dredging companies a method to determine the cost of a dredging project employing a hopper dredge. The program consists of two Microsoft Excel spreadsheets and provides a means to estimate either large cutter (27" and larger) or hopper dredge projects. The program allows for a high degree of customization to account for either a particular dredge or project. In a series of comparisons, the program output had an average difference of 17.3% between the estimated price and the price awarded to the winning bidder. For the same projects the government estimate varied an average of 16.2%. Using the accuracy of the government estimate as a measure of accomplishment, the program can be considered a success.

Belesimo, Francesco John

2000-01-01T23:59:59.000Z

215

Cooling load estimation methods  

DOE Green Energy (OSTI)

Ongoing research on quantifying the cooling loads in residential buildings, particularly buildings with passive solar heating systems, is described. Correlations are described that permit auxiliary cooling estimates from monthly average insolation and weather data. The objective of the research is to develop a simple analysis method, useful early in design, to estimate the annual cooling energy required of a given building.

McFarland, R.D.

1984-01-01T23:59:59.000Z

216

Estimating frequency of change  

Science Conference Proceedings (OSTI)

Many online data sources are updated autonomously and independently. In this article, we make the case for estimating the change frequency of data to improve Web crawlers, Web caches and to help data mining. We first identify various scenarios, where ... Keywords: Change frequency estimation, Poisson process

Junghoo Cho; Hector Garcia-Molina

2003-08-01T23:59:59.000Z

217

Salvo and Geiger Page 1 Fuel Mix and Air Quality during the 2009-2011 Natural Experiments  

E-Print Network (OSTI)

renewable sources. This will include bioethanol from wheat and sugar beet, biodiesel from oil seed rape scarcer even though suitable habitat is available elsewhere. Conversely, mobile and general- ist species and novel crops such as monocultures of high- sugar grass species or biomass crops such as Miscanthus

Schweik, Charles M.

218

Faster Phase Estimation  

E-Print Network (OSTI)

We develop several algorithms for performing quantum phase estimation based on basic measurements and classical post-processing. We present a pedagogical review of quantum phase estimation and simulate the algorithm to numerically determine its scaling in circuit depth and width. We show that the use of purely random measurements requires a number of measurements that is optimal up to constant factors, albeit at the cost of exponential classical post-processing; the method can also be used to improve classical signal processing. We then develop a quantum algorithm for phase estimation that yields an asymptotic improvement in runtime, coming within a factor of log* of the minimum number of measurements required while still requiring only minimal classical post-processing. The corresponding quantum circuit requires asymptotically lower depth and width (number of qubits) than quantum phase estimation.

Krysta M. Svore; Matthew B. Hastings; Michael Freedman

2013-04-02T23:59:59.000Z

219

Radiation Stress Estimators  

Science Conference Proceedings (OSTI)

The radiation stresses Sij associated with the propagation of wind-generated waves are principal driving forces for several important surf-zone processes. The accurate estimation of the onshore flux of longshore-directed mean momentum Syx, using ...

S. S. Pawka; D. L. Inman; R. T. Guza

1983-09-01T23:59:59.000Z

220

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

222

Wyoming Shale Gas Proved Reserves, Reserves Changes, and Production  

U.S. Energy Information Administration (EIA)

Shale Gas (Billion Cubic Feet) Area: ... Annual : Download Series History: ... Estimated Production : 0: 0: 0: 0: 0: 2007-2011

223

Florida Coalbed Methane Production (Billion Cubic Feet)  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production Florida Coalbed Methane Proved Reserves, Reserves Changes, and...

224

Michigan Coalbed Methane Production (Billion Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production Michigan Coalbed Methane Proved Reserves, Reserves Changes, and...

225

Kentucky Coalbed Methane Production (Billion Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production Kentucky Coalbed Methane Proved Reserves, Reserves Changes, and...

226

Crude Oil Production - Energy Information Administration  

U.S. Energy Information Administration (EIA)

In addition, reported production of most States are estimates. See Definitions, Sources, and Notes link above for more information on this table. Release ...

227

Glass Production  

E-Print Network (OSTI)

40, pp. 162 - 186. Glass Production, Shortland, UEE 2009AINES Short Citation: Shortland 2009, Glass Production. UEE.Andrew, 2009, Glass Production. In Willeke Wendrich (ed. ),

Shortland, Andrew

2009-01-01T23:59:59.000Z

228

Production Targets  

E-Print Network (OSTI)

Hall (2005), “Prices, Production, and Inventories over theProduction Targets ? Guillermo Caruana CEMFI caruana@cem?.esthe theory using monthly production targets of the Big Three

Caruana, Guillermo; Einav, Liran

2005-01-01T23:59:59.000Z

229

Pottery Production  

E-Print Network (OSTI)

Paul T. Nicholson. ) Pottery Production, Nicholson, UEE 2009Short Citation: Nicholson 2009, Pottery Production. UEE.Paul T. , 2009, Pottery Production. In Willeke Wendrich (

Nicholson, Paul T.

2009-01-01T23:59:59.000Z

230

Cordage Production  

E-Print Network (OSTI)

294: fig. 15-3). Cordage Production, Veldmeijer, UEE 2009Short Citation: Veldmeijer, 2009, Cordage Production. UEE.André J. , 2009, Cordage Production. In Willeke Wendrich (

Veldmeijer, André J.

2009-01-01T23:59:59.000Z

231

REQUESTS FOR RETIREMENT ESTIMATE  

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

REQUEST FOR RETIREMENT ANNUITY ESTIMATE REQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions: Please read and answer the following questions thoroughly to include checking all applicable boxes. Unanswered questions may delay processing. Print and Fax back your request form to 202.586.6395 or drop request to GM-169. The request will be assigned to your servicing retirement specialist. They will confirm receipt of your request. SECTION A Request Submitted _____________________ ______________________ ________________________ _____________________ Name (last, first, middle) Last four SSN Date of Birth ___________________________ _________________________ __________________________ Organization Office Telephone Number Fax Number

232

Iterative phase estimation  

E-Print Network (OSTI)

We give an iterative algorithm for phase estimation of a parameter theta, which is within a logarithmic factor of the Heisenberg limit. Unlike other methods, we do not need any entanglement or an extra rotation gate which can perform arbitrary rotations with almost perfect accuracy: only a single copy of the unitary channel and basic measurements are needed. Simulations show that the algorithm is successful. We also look at iterative phase estimation when depolarizing noise is present. It is seen that the algorithm is still successful provided the number of iterative stages is below a certain threshold.

Caleb J O'Loan

2009-04-22T23:59:59.000Z

233

Hydrogen Production  

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

Hydrogen Production DELIVERY FUEL CELLS STORAGE PRODUCTION TECHNOLOGY VALIDATION CODES & STANDARDS SYSTEMS INTEGRATION ANALYSES SAFETY EDUCATION RESEARCH & DEVELOPMENT Economy...

234

Domestic Uranium Production Report  

Gasoline and Diesel Fuel Update (EIA)

10. Uranium reserve estimates at the end of 2012 10. Uranium reserve estimates at the end of 2012 million pounds U3O8 Forward Cost2 Uranium Reserve Estimates1 by Mine and Property Status, Mining Method, and State(s) $0 to $30 per pound $0 to $50 per pound $0 to $100 per pound Properties with Exploration Completed, Exploration Continuing, and Only Assessment Work W W 102.0 Properties Under Development for Production W W W Mines in Production W 21.4 W Mines Closed Temporarily and Closed Permanently W W 133.1 In-Situ Leach Mining W W 128.6 Underground and Open Pit Mining W W 175.4 Arizona, New Mexico and Utah 0 W 164.7 Colorado, Nebraska and Texas W W 40.8 Wyoming W W 98.5 Total 51.8 W 304.0 1 Sixteen respondents reported reserve estimates on 71 mines and properties. These uranium reserve estimates cannot be compared with the much larger historical data set of uranium reserves that were published in the July 2010 report U.S. Uranium Reserves Estimates at http://www.eia.gov/cneaf/nuclear/page/reserves/ures.html. Reserves, as reported here, do not necessarily imply compliance with U.S. or Canadian government definitions for purposes of investment disclosure.

235

By-Products Utilization  

E-Print Network (OSTI)

-lime fly ash in blended cements with minimum (less than 20%) portland cement in the blend. Keywords: Fly 232, Fly Ash and Natural Pozzolans. #12;4 INTRODUCTION Coal is the most widely used source of energy ash. In 1992, total coal ash production in the world was estimated to be 600 million tons, of which

Wisconsin-Milwaukee, University of

236

External Dose Estimates from  

E-Print Network (OSTI)

Appendix E External Dose Estimates from NTS Fallout E-1 #12;External Radiation Exposure as the dependence on fallout time of arrival. The most exposed individuals were outdoor workers; the least exposed was about a factor of 20 less than that from "global fallout" from high- yield weapons tests carried out

237

External Dose Estimates from  

E-Print Network (OSTI)

Appendix G External Dose Estimates from Global Fallout G-1 #12;External Radiation Exposure from the fallout from all of these tests was about 0.7 mSv, about equivalent to 2-3 years of external radiation exposure from natural background. In contrast to the fallout from tests at the Nevada Test site

238

Estimating Mixed Layer Depth from Oceanic Profile Data  

Science Conference Proceedings (OSTI)

Estimates of mixed layer depth are important to a wide variety of oceanic investigations including upper-ocean productivity, air–sea exchange processes, and long-term climate change. In the absence of direct turbulent dissipation measurements, ...

Richard E. Thomson; Isaac V. Fine

2003-02-01T23:59:59.000Z

239

EPA Revises Emissions Estimation Methodology  

U.S. Energy Information Administration (EIA)

The changes to the historical emission estimates are the result of revisions to the data and estimation ... b K.D . Smythe, RAND ... RAND Environmental Science and ...

240

WOOD PRODUCTS 1. INTRODUCTION TO WARM AND WOOD PRODUCTS  

E-Print Network (OSTI)

This chapter describes the methodology used in EPA’s Waste Reduction Model (WARM) to estimate streamlined life-cycle greenhouse gas (GHG) emission factors for wood products beginning at the point of waste generation. The WARM GHG emission factors are used to compare the net emissions associated with wood products in the following four materials management alternatives: source

unknown authors

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Intercomparison of Rain Gauge, Radar, and Satellite-Based Precipitation Estimates with Emphasis on Hydrologic Forecasting  

Science Conference Proceedings (OSTI)

This study compares mean areal precipitation (MAP) estimates derived from three sources: an operational rain gauge network (MAPG), a radar/gauge multisensor product (MAPX), and the Precipitation Estimation from Remotely Sensed Information using ...

Koray K. Yilmaz; Terri S. Hogue; Kuo-lin Hsu; Soroosh Sorooshian; Hoshin V. Gupta; Thorsten Wagener

2005-08-01T23:59:59.000Z

242

Evaluation of Biases of Satellite Rainfall Estimation Algorithms over the Continental United States  

Science Conference Proceedings (OSTI)

A bias-adjusted radar rainfall product is created and used for evaluation of two satellite rainfall estimation algorithms. Three years of collocated rainfall estimates from radar, rain gauges, a microwave satellite algorithm, and a multispectral (...

Jeffrey R. McCollum; Witold F. Krajewski; Ralph R. Ferraro; Mamoudou B. Ba

2002-11-01T23:59:59.000Z

243

Integration of remote sensing and ecosystem modelling techniques to estimate forest net carbon uptake  

Science Conference Proceedings (OSTI)

Estimates of forest gross primary production (GPP) can be obtained using a parametric model (C-Fix) that combines ground and remotely sensed data. A methodology is presented to convert these GPP estimates into values of net ecosystem exchange (NEE). ...

F. Maselli; M. Chiesi; L. Fibbi; M. Moriondo

2008-04-01T23:59:59.000Z

244

A Framework for Automating Cost Estimates in Assembly Processes  

SciTech Connect

When a product concept emerges, the manufacturing engineer is asked to sketch out a production strategy and estimate its cost. The engineer is given an initial product design, along with a schedule of expected production volumes. The engineer then determines the best approach to manufacturing the product, comparing a variey of alternative production strategies. The engineer must consider capital cost, operating cost, lead-time, and other issues in an attempt to maximize pro$ts. After making these basic choices and sketching the design of overall production, the engineer produces estimates of the required capital, operating costs, and production capacity. 177is process may iterate as the product design is refined in order to improve its pe~ormance or manufacturability. The focus of this paper is on the development of computer tools to aid manufacturing engineers in their decision-making processes. This computer sof~are tool provides aj?amework in which accurate cost estimates can be seamlessly derivedfiom design requirements at the start of any engineering project. Z+e result is faster cycle times through first-pass success; lower ll~e cycie cost due to requirements-driven design and accurate cost estimates derived early in the process.

Calton, T.L.; Peters, R.R.

1998-12-09T23:59:59.000Z

245

Operated device estimation framework  

E-Print Network (OSTI)

Protective device estimation is a challenging task because there are numerous protective devices present in a typical distribution system. Among various protective devices, auto-reclosers and fuses are the main overcurrent protection on distribution systems. Operation of a protective device in response to a particular fault condition depends upon the protective device’s operating behavior and coordination of various such protective devices. This thesis presents the design and implementation of a protective device estimation algorithm which helps in identifying which protective devices have operated to clear a short circuit condition. The algorithm uses manufacturer’s device details, power quality data measured from substation monitoring devices and power system event features estimated using existing DFA algorithms. The proposed technique can be used to evaluate coordination of these protective devices and helps in locating a fault in a distribution system feeder. This approach is independent of feeder topology and could be readily used for any distribution system. The effectiveness of this algorithm is verified by simulated and actual test data. Suggestions are included for future research and application by electric utilities.

Rengarajan, Janarthanan

2008-12-01T23:59:59.000Z

246

A. Appendix: Cost Estimate for the Facility  

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

Appendix: Cost Estimate for the Facility Appendix: Cost Estimate for the Facility Determining the cost of a facility as complex as the neutrino source presented here is a very difficult task within the short time period of six months. Three factors contribute to the uncertainty significantly: 1. The number of subsystems in the facility, which are described throughout the report, is comparatively large. All of the subsystems contribute a considerable amount of complexity and cost that have to be addressed by specific expertise in order to find a technical solution and a reasonable cost estimate. The variety of technologies is large and many of them have to be pushed to the edge or beyond and therefore has to be addressed with an appropriate R&D program. Cost savings from mass production will not be

247

Biomass Model for the Egg Production Method  

E-Print Network (OSTI)

Biomass Model for the Egg Production Method KEITH PARKER' Southwest Fisheries Center, National estimable and constant over the field snmpling interval. Spawning biomass is then estimated as a function are derived and given. The relationship between the spawning biomass of a fish stock and its production

248

Essays on Nonparametric Series Estimation with Application to Financial Econometrics  

E-Print Network (OSTI)

This dissertation includes two essays. In the first essay, I proposed an alternative estimator for multivariate densities. This estimator can be characterized as a transformation based estimator. The first stage estimates each marginal density separately. In the second stage, the joint density of estimated marginal cumulative distribution functions (CDF) are approximated by the exponential series estimator. The final estimate is then obtained as the product of the marginal densities and the joint density estimated in the second stage. Extensive Monte Carlo studies show the proposed estimator outperforms kernel estimators in joint density and tail distribution estimation. An illustrative example on estimating the conditional copula density between S & P 500 and FTSE 100 given Hangseng and Nikkei 225 is also discussed. In the second essay, I extended the semiparametric model by Chen and Fan [X. Chen, Y. Fan, Estimation of copula-based semiparametric time series models, Journal of Econometrics 130 (2006) 307-335], and studied a class of univariate copula-based nonparametric stationary Markov models in which the copulas and the marginal distributions are estimated nonparametrically. In particular, I focused on the stationary Markov process of order 1 with continuous state space because it has the beta-mixing property for the analysis of weakly dependent processes. The copula density functions for time series models are approximated by the series estimate on sieve spaces. In this study, a finite dimensional linear space spanned by a sequence of power functions is treated as the sieve space where the estimation space of the copula density function is based. This sieve series estimator can be characterized as the exponential series estimator under mild smoothness conditions. By using the beta-mixing properties, I showed that the copula density function approximated by the exponential series estimator for stationary first-order Markov processes has the same convergence rate as the i.i.d. data. The Monte Carlo simulations show that the proposed estimator outperforms the kernel estimator in the conditional density estimation, except for the Frank copula-based Markov model. In addition, the proposed estimator considerably dominates the the kernel estimator when used in the one-step-ahead forecast.

Chang, Meng-Shiuh

2011-08-01T23:59:59.000Z

249

energy production | OpenEI  

Open Energy Info (EERE)

52 52 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278352 Varnish cache server energy production Dataset Summary Description The State Energy Data System (SEDS) is compiled by the U.S. Energy Information Administration's (EIA); it is a comprehensive database of energy statistics by state (and includes totals for the entire US). SEDS includes estimates of energy production, consumption, prices, and expenditures broken down by energy source and sector. Annual estimates are available from 1960 - 2009 for production and consumption estimates and from 1970 - 2009 for price and expenditure estimates. Source EIA Date Released June 30th, 2011 (3 years ago) Date Updated Unknown

250

Estimation, Economic methodology  

E-Print Network (OSTI)

In this paper I analyse the main strengths and weaknesses of agent-based computational models. I first describe how agent-based simulations can complement more traditional modelling techniques. Then, I rationalise the main theoretical critiques against the use of simulation, which point to the following problematic areas: (i) interpretation of the simulation dynamics, (ii) estimation of the simulation model, and (iii) generalisation of the results. I show that there exist solutions for all these issues. Along the way, I clarify some confounding differences in terminology between the computer science and the economic literature.

Matteo Richiardi; Laboratorio Riccardo; Revelli Centre; Employment Studies; I’m Indebted Francesco Devicienti; Roberto Leombruni; Bruno Contini For Their

2004-01-01T23:59:59.000Z

251

Estimating Appliance and Home Electronic Energy Use | Department of Energy  

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

Appliance and Home Electronic Energy Use Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use November 11, 2013 - 4:23pm Addthis Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo courtesy of iStockphoto.com/wh1600. If you're trying to decide whether to invest in a more energy-efficient appliance or you'd like to determine your electricity loads, you may want to estimate appliance energy consumption. Formula for Estimating Energy Consumption

252

Utility Savings Estimators | Building Energy Codes Program  

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

the Utility Savings Estimators: Commercial Estimator | Residential Estimator (These *.zip files contain the Microsoft Excel macro-enabled (*.xlsm) estimator files. You will...

253

Nonassociated Natural Gas Estimated Production, Wet After Lease Separation  

Gasoline and Diesel Fuel Update (EIA)

7,092 18,022 19,066 19,981 20,779 21,899 1979-2011 7,092 18,022 19,066 19,981 20,779 21,899 1979-2011 Federal Offshore U.S. 2,206 2,178 1,745 1,779 1,660 1,210 1990-2011 Pacific (California) 2 2 2 1 1 0 1979-2011 Louisiana & Alabama 1,574 1,628 1,371 1,425 1,318 960 1981-2011 Texas 630 548 372 353 341 250 1981-2011 Alaska 192 164 149 136 145 152 1979-2011 Lower 48 States 16,900 17,858 18,917 19,845 20,634 21,747 1979-2011 Alabama 286 273 262 256 225 218 1979-2011 Arkansas 183 265 454 694 948 1,074 1979-2011 California 88 101 88 80 69 64 1979-2011 Coastal Region Onshore 0 0 0 0 0 0 1979-2011 Los Angeles Basin Onshore 0 0 0 0 0 0 1979-2011 San Joaquin Basin Onshore 87 99 86 78 68 63 1979-2011 State Offshore 1 2 2 2 1 1 1979-2011 Colorado

254

Estimated Production of Natural Gas, Wet After Lease Separation  

Gasoline and Diesel Fuel Update (EIA)

9,373 20,318 21,415 22,537 23,224 24,621 1979-2011 9,373 20,318 21,415 22,537 23,224 24,621 1979-2011 Federal Offshore U.S. 2,841 2,803 2,308 2,438 2,224 1,724 1990-2011 Pacific (California) 37 41 37 37 29 31 1979-2011 Louisiana & Alabama 2,036 2,135 1,807 1,947 1,786 1,375 1981-2011 Texas 768 627 464 454 409 318 1981-2011 Alaska 410 391 356 361 319 328 1979-2011 Lower 48 States 18,963 19,927 21,059 22,176 22,905 24,293 1979-2011 Alabama 290 277 265 261 231 226 1979-2011 Arkansas 188 269 457 698 952 1,080 1979-2011 California 268 264 251 251 255 324 1979-2011 Coastal Region Onshore 9 12 11 12 12 12 1979-2011 Los Angeles Basin Onshore 8 8 7 7 6 7 1979-2011 San Joaquin Basin Onshore 244 238 229 226 232 300 1979-2011 State Offshore 7 6 4 6 5 5 1979-2011

255

Nonassociated Natural Gas Estimated Production, Wet After Lease Separation  

Gasoline and Diesel Fuel Update (EIA)

7,092 18,022 19,066 19,981 20,779 21,899 1979-2011 7,092 18,022 19,066 19,981 20,779 21,899 1979-2011 Federal Offshore U.S. 2,206 2,178 1,745 1,779 1,660 1,210 1990-2011 Pacific (California) 2 2 2 1 1 0 1979-2011 Louisiana & Alabama 1,574 1,628 1,371 1,425 1,318 960 1981-2011 Texas 630 548 372 353 341 250 1981-2011 Alaska 192 164 149 136 145 152 1979-2011 Lower 48 States 16,900 17,858 18,917 19,845 20,634 21,747 1979-2011 Alabama 286 273 262 256 225 218 1979-2011 Arkansas 183 265 454 694 948 1,074 1979-2011 California 88 101 88 80 69 64 1979-2011 Coastal Region Onshore 0 0 0 0 0 0 1979-2011 Los Angeles Basin Onshore 0 0 0 0 0 0 1979-2011 San Joaquin Basin Onshore 87 99 86 78 68 63 1979-2011 State Offshore 1 2 2 2 1 1 1979-2011 Colorado

256

Estimated Production of Natural Gas, Wet After Lease Separation  

Gasoline and Diesel Fuel Update (EIA)

9,373 20,318 21,415 22,537 23,224 24,621 1979-2011 9,373 20,318 21,415 22,537 23,224 24,621 1979-2011 Federal Offshore U.S. 2,841 2,803 2,308 2,438 2,224 1,724 1990-2011 Pacific (California) 37 41 37 37 29 31 1979-2011 Louisiana & Alabama 2,036 2,135 1,807 1,947 1,786 1,375 1981-2011 Texas 768 627 464 454 409 318 1981-2011 Alaska 410 391 356 361 319 328 1979-2011 Lower 48 States 18,963 19,927 21,059 22,176 22,905 24,293 1979-2011 Alabama 290 277 265 261 231 226 1979-2011 Arkansas 188 269 457 698 952 1,080 1979-2011 California 268 264 251 251 255 324 1979-2011 Coastal Region Onshore 9 12 11 12 12 12 1979-2011 Los Angeles Basin Onshore 8 8 7 7 6 7 1979-2011 San Joaquin Basin Onshore 244 238 229 226 232 300 1979-2011 State Offshore 7 6 4 6 5 5 1979-2011

257

Associated-Dissolved Natural Gas Estimated Production, Wet After Lease  

Gasoline and Diesel Fuel Update (EIA)

2,281 2,296 2,349 2,556 2,445 2,722 1979-2011 2,281 2,296 2,349 2,556 2,445 2,722 1979-2011 Federal Offshore U.S. 635 625 563 659 564 514 1990-2011 Pacific (California) 35 39 35 36 28 31 1979-2011 Louisiana & Alabama 462 507 436 522 468 415 1981-2011 Texas 138 79 92 101 68 68 1981-2011 Alaska 218 227 207 225 174 176 1979-2011 Lower 48 States 2,063 2,069 2,142 2,331 2,271 2,546 1979-2011 Alabama 4 4 3 5 6 8 1979-2011 Arkansas 5 4 3 4 4 6 1979-2011 California 180 163 163 171 186 260 1979-2011 Coastal Region Onshore 9 12 11 12 12 12 1979-2011 Los Angeles Basin Onshore 8 8 7 7 6 7 1979-2011 San Joaquin Basin Onshore 157 139 143 148 164 237 1979-2011 State Offshore 6 4 2 4 4 4 1979-2011 Colorado 96 104 125 134 126 160 1979-2011

258

Arkansas Dry Natural Gas Reserves Estimated Production (Billion...  

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

1990's 164 173 204 188 186 182 200 189 170 163 2000's 154 160 157 166 170 174 188 269 456 698 2010's 951 1,079 - No Data Reported; -- Not Applicable; NA Not Available; W ...

259

Wyoming Dry Natural Gas Reserves Estimated Production (Billion...  

Annual Energy Outlook 2012 (EIA)

Year-5 Year-6 Year-7 Year-8 Year-9 1970's 315 329 355 1980's 416 423 391 414 484 433 402 456 510 591 1990's 583 639 714 713 780 806 782 891 838 1,213 2000's 1,070 1,286 1,388 1,456...

260

New Mexico - East Dry Natural Gas Reserves Estimated Production...  

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

1970's 604 553 596 1980's 515 531 498 424 439 429 325 382 359 396 1990's 392 424 437 456 466 418 432 418 427 491 2000's 447 518 526 507 516 522 480 462 459 454 2010's 392 377 -...

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Estimating Gas Production from a Cut Off Survey  

U.S. Energy Information Administration (EIA)

Test files have been generated for several areas for the initial model development and testing. Test files for Texas, Oklahoma, GOM, New Mexico, Louisiana, ...

262

Estimated Costs for Production, Storage and Transportation of Switchgrass  

E-Print Network (OSTI)

as an energy crop but primarily to replace coal. Using switchgrass to produce ethanol is a new use. This report of switchgrass for any energy use. The Conservation Reserve Program (CRP) may also play a role in the future and activities on the basis of race, color, national origin, gender, religion, age, disability, political beliefs

Duffy, Michael D.

263

Table PT2. Energy Production Estimates in Trillion Btu ...  

U.S. Energy Information Administration (EIA)

1963 54.3 228.1 837.6 0.0 na 10.6 10.6 1,130.6 ... 1976 562.9 339.4 778.1 0.0 na 12.5 12.5 1,692.9 ... 2010 7,658.3 2,521.3 r 308.8 r 0.0 0.9 43.5 r ...

264

,"U.S. Weekly Supply Estimates"  

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

Supply Estimates" Supply Estimates" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Crude Oil Production",1,"Weekly","12/13/2013","1/7/1983" ,"Data 2","Refiner Inputs and Utilization",4,"Weekly","12/13/2013","8/20/1982" ,"Data 3","Refiner and Blender Net Inputs",6,"Weekly","12/13/2013","4/9/2004" ,"Data 4","Refiner and Blender Net Production",20,"Weekly","12/13/2013","8/20/1982" ,"Data 5","Ethanol Plant Production",1,"Weekly","12/13/2013","6/4/2010"

265

Estimated capacity of U. S. ethanol plants. Staff report  

Science Conference Proceedings (OSTI)

This report presents and explains data on U.S. alcohol fuel production capacity for 1980-83. The major feedstock used is corn because of its availability and the technical ease of conversion to alcohol by means of the well-known fermentation process. The Corn Belt is currently the leading alcohol fuel production region. The estimates of likely, optimistic, and highly optimistic capacity by the end of 1983 are 1.5, 1.7, and 2 billion gallons, respectively. These estimates indicate that the national alcohol fuel production goal of 60,000 barrels per day (920 million gallons per year) by the end of 1982 will not be achieved.

Gill, M.; Dargan, A.D.

1982-02-01T23:59:59.000Z

266

Estimation of the Mean Field Bias of Radar Rainfall Estimates  

Science Conference Proceedings (OSTI)

In this paper procedures are developed for estimating the mean field bias of radar rainfall estimates. Mean field bias is modeled as a random process that varies not only from storm to storm but also over the course of a storm. State estimates of ...

James A. Smith; Witold F. Krajewski

1991-04-01T23:59:59.000Z

267

Utah Crude Oil plus Lease Condensate Proved Reserves  

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

488 518 582 2009-2011 Adjustments 2 13 -16 2009-2011 Revision Increases 126 71 64 2009-2011 Revision Decreases 8 21 23 2009-2011 Sales 8 24 9 2009-2011 Acquisitions 26 3 10...

268

TX, RRC District 10 Shale Gas Proved Reserves, Reserves Changes...  

Gasoline and Diesel Fuel Update (EIA)

-1 2009-2011 Revision Increases 0 0 0 2009-2011 Revision Decreases 0 0 0 2009-2011 Sales 0 0 0 2009-2011 Acquisitions 0 0 0 2009-2011 Extensions 0 0 1...

269

Colorado Crude Oil plus Lease Condensate Proved Reserves  

Annual Energy Outlook 2012 (EIA)

376 501 555 2009-2011 Adjustments -9 25 -1 2009-2011 Revision Increases 28 52 71 2009-2011 Revision Decreases 27 34 56 2009-2011 Sales 17 3 19 2009-2011 Acquisitions 2 38 4...

270

Louisiana Crude Oil plus Lease Condensate Proved Reserves  

Gasoline and Diesel Fuel Update (EIA)

480 530 525 2009-2011 Adjustments -1 7 -8 2009-2011 Revision Increases 100 139 100 2009-2011 Revision Decreases 69 93 43 2009-2011 Sales 9 23 63 2009-2011 Acquisitions 11 52 53...

271

Objective Estimation of the 24-h Probability of Tropical Cyclone Formation  

Science Conference Proceedings (OSTI)

A new product for estimating the 24-h probability of TC formation in individual 5° × 5° subregions of the North Atlantic, eastern North Pacific, and western North Pacific tropical basins is developed. This product uses environmental and ...

Andrea B. Schumacher; Mark DeMaria; John A. Knaff

2009-04-01T23:59:59.000Z

272

Estimating Civilian Owned Firearms  

E-Print Network (OSTI)

Most of the world’s firearms are privately owned. 1 They include improvised craft guns as well as handguns, rifles, shotguns, and machine guns. The legal definition of a civilian firearm varies; some states allow civilian ownership of certain firearms that are restricted to military use in other states. The word civilian is used here to refer to actual possession, not legality. In 2007, the Small Arms Survey estimated the number of civilian firearm ownership worldwide at approximately 650 million weapons out of some 875 then in existence (see Figures 1 and 2). National ownership rates range from a high of 90 firearms per every 100 people in the United States, to one firearm or less for every 100 residents in countries like South Korea and Ghana (see Table 1). With the world’s factories delivering millions of newly manufactured firearms annually, and with far fewer being destroyed, civilian ownership is growing (Small Arms Survey, 2007, p. 39). Poor record-keeping and the near absence of reporting requirements for detailed information complicate assessments of global stockpiles of small arms and light weapons. When it comes to estimating civilian firearm ownership, differences in national gun culture —each country’s unique combination of historic and current sources of supply, laws and attitudes toward firearms ownership—often have distinct effects on the classification, ownership and perception of firearms. In addition, categories of firearm holders may overlap, as some individuals may use their private firearms at work as security guards, in armed groups, or in gangs.

unknown authors

2011-01-01T23:59:59.000Z

273

Empirical Methods of Cost Estimation  

Science Conference Proceedings (OSTI)

...D.P. Hoult and C.L. Meador, Manufacturing Cost Estimating, Materials Selection and Design, Vol 20, ASM Handbook,

274

Optimal estimation with limited measurements  

Science Conference Proceedings (OSTI)

This paper introduces a sequential estimation problem with two decision makers, or agents, who work as members of a team. One of the agents sits at an observation post, and makes sequential observations about the state of an underlying stochastic process ... Keywords: WSNs, limited information, networked control systems, optimal estimation, real-time control, real-time monitoring, recursive estimation, sequential estimation, wireless networks, wireless sensor networks

Orhan C. Imer; Tamer Basar

2010-01-01T23:59:59.000Z

275

AN OVERVIEW OF TOOL FOR RESPONSE ACTION COST ESTIMATING (TRACE)  

Science Conference Proceedings (OSTI)

Tools and techniques that provide improved performance and reduced costs are important to government programs, particularly in current times. An opportunity for improvement was identified for preparation of cost estimates used to support the evaluation of response action alternatives. As a result, CH2M HILL Plateau Remediation Company has developed Tool for Response Action Cost Estimating (TRACE). TRACE is a multi-page Microsoft Excel{reg_sign} workbook developed to introduce efficiencies into the timely and consistent production of cost estimates for response action alternatives. This tool combines costs derived from extensive site-specific runs of commercially available remediation cost models with site-specific and estimator-researched and derived costs, providing the best estimating sources available. TRACE also provides for common quantity and key parameter links across multiple alternatives, maximizing ease of updating estimates and performing sensitivity analyses, and ensuring consistency.

FERRIES SR; KLINK KL; OSTAPKOWICZ B

2012-01-30T23:59:59.000Z

276

U. S. Energy Information Administration | Drilling Productivity Report  

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

December 2013 December 2013 Explanatory notes Drilling Productivity Report The Drilling Productivity Report uses recent data on the total number of drilling rigs in operation along with estimates of drilling productivity and estimated changes in production from existing oil and natural gas wells to provide estimated changes in oil and natural gas production for six key fields. EIA's approach does not distinguish between oil-directed rigs and gas-directed rigs because once a well is completed it may produce both oil and gas; more than half of the wells do that. Monthly additions from one average rig Monthly additions from one average rig represent EIA's estimate of an average rig's

277

2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

Status Report - Savings Estimates for the ENERGY STAR Voluntary Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2008 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Date Published 11/2007 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2008) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR includes more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2007, what we expect in 2008, and provide savings forecasts for the periods 2008 to 2015 and 2008 to 2025. The forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic ENERGY STAR unit sales for each of the products.

278

RMOTC - Production  

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

Production Production RMOTC Pumpjack in action During the process of the sale of NPR-3, RMOTC will focus on maximizing the value of the NPR-3 site and will continue with its Production Optimization Projects. NPR-3 includes 9,481 acres with more than 400 oil-producing wells. Current oil production is at approximately 240 barrels of oil per day. In July 2013, RMOTC began working on a number of Production Optimization Projects within the NPR-3 field, with the goal to optimize and improve flow and efficiency. Production Optimization Projects include repairing and replacing existing infrastructure with new infrastructure in order to optimize current wells and bring additional wells online. These Production Optimization Projects will continue throughout 2013 and are focused on improving current production and creating revenue for the America tax payer.

279

Antihydrogen production  

SciTech Connect

Antihydrogen production in ATHENA is analyzed more carefully. The most important peculiarities of the different experimental situations are discussed. The protonium production via the first matter-antimatter chemical reaction is commented too.

Rizzini, Evandro Lodi; Venturelli, Luca; Zurlo, Nicola [Dipartimento di Chimica e Fisica per l'Ingegneria e per i Materiali, Universita di Brescia, 25133 Brescia (Italy); Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Brescia, 25133 Brescia (Italy)

2008-08-08T23:59:59.000Z

280

Tin Production  

Science Conference Proceedings (OSTI)

...descending order, Brazil, Indonesia, Malaysia, Thailand, Bolivia, and Australia. These countries supply more than 85% of total world production....

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Domestic Uranium Production Report  

Gasoline and Diesel Fuel Update (EIA)

2. U.S. uranium mine production and number of mines and sources, 2003-2012 2. U.S. uranium mine production and number of mines and sources, 2003-2012 Production / Mining Method 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Underground (estimated contained thousand pounds U3O8) W W W W W W W W W W Open Pit (estimated contained thousand pounds U3O8) 0 0 0 0 0 0 0 0 0 0 In-Situ Leaching (thousand pounds U3O8) W W 2,681 4,259 W W W W W W Other1 (thousand pounds U3O8) W W W W W W W W W W Total Mine Production (thousand pounds U3O8) E2,200 2,452 3,045 4,692 4,541 3,879 4,145 4,237 4,114 4,335 Number of Operating Mines Underground 1 2 4 5 6 10 14 4 5 6 Open Pit 0 0 0 0 0 0 0 0 0 0 In-Situ Leaching 2 3 4 5 5 6 4 4 5 5 Other Sources1 1 1 2 1 1 1 2 1 1 1

282

Estimation of Ultraviolet-A Irradiance from Measurements of 368-nm Spectral Irradiance  

Science Conference Proceedings (OSTI)

The estimation of ultraviolet-A (UV-A) radiation across the earth’s surface is needed to model plant productivity and future impacts of ultraviolet-B radiation on plant productivity. We have developed two models to estimate the UV-A irradiance ...

R. H. Grant; J. R. Slusser

2005-12-01T23:59:59.000Z

283

Dual to ratio-cumproduct estimator using known parameters of auxiliary variables  

E-Print Network (OSTI)

This paper deals with the dual to ratio-cum-product estimator for population mean using known parameters of auxiliary variables. In this paper, dual to ratio-cum-product estimator of Singh and Tailor (2005) has been suggested. The Bias and mean squared error expressions have also been obtained up to the first degree of approximation. Suggested estimator has been compared theoretically as well as empirically.

Rajesh Tailor; Ritesh Tailor; Rajesh Parmar; Manish Kumar

2012-01-01T23:59:59.000Z

284

2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

7 Status Report - Savings Estimates for the ENERGY STAR Voluntary 7 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2007 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Pagination 38 Date Published 03/2007 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2007) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR® is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR labels exist for more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2006, what we expect in 2007, and provide savings forecasts for two market penetration scenarios for the periods 2007 to 2015 and 2007 to 2025. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

285

2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

5 Status Report - Savings Estimates for the ENERGY STAR Voluntary 5 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2005 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Pagination 35 Date Published 03/2006 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2005) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), Energy Star labels exist for more than forty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2004, what we expect in 2005, and provide savings forecasts for two market penetration scenarios for the periods 2005 to 2010 and 2005 to 2020. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

286

2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary  

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

6 Status Report - Savings Estimates for the ENERGY STAR Voluntary 6 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Title 2006 Status Report - Savings Estimates for the ENERGY STAR Voluntary Labeling Program Publication Type Journal Article LBNL Report Number LBNL-56380 Year of Publication 2007 Authors Sanchez, Marla C., Carrie A. Webber, Richard E. Brown, and Gregory K. Homan Pagination 38 Date Published March 2006 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-56380(2006) Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR® is a voluntary labeling program designed to identify and promote energy-efficient products, buildings and practices. Operated jointly by the Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE), ENERGY STAR labels exist for more than thirty products, spanning office equipment, residential heating and cooling equipment, commercial and residential lighting, home electronics, and major appliances. This report presents savings estimates for a subset of ENERGY STAR labeled products. We present estimates of the energy, dollar and carbon savings achieved by the program in the year 2005, what we expect in 2006, and provide savings forecasts for two market penetration scenarios for the periods 2006 to 2015 and 2006 to 2025. The target market penetration forecast represents our best estimate of future ENERGY STAR savings. It is based on realistic market penetration goals for each of the products. We also provide a forecast under the assumption of 100 percent market penetration; that is, we assume that all purchasers buy ENERGY STAR-compliant products instead of standard efficiency products throughout the analysis period.

287

Frequency tracking and parameter estimation for robust quantum state estimation  

SciTech Connect

In this paper we consider the problem of tracking the state of a quantum system via a continuous weak measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency.

Ralph, Jason F. [Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ (United Kingdom); Jacobs, Kurt [Department of Physics, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, Massachusetts 02125 (United States); Hill, Charles D. [Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Victoria 3010 (Australia)

2011-11-15T23:59:59.000Z

288

Microsoft PowerPoint - Cost Estimating for Hydro Planning  

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

Estimating Estimating for Hydropower Project Planning M Th Mona Thomason Chief, Product Coordination Branch Hydroelectric Design Center 13 J 2012 13 June 2012 US Army Corps of Engineers BUILDING STRONG ® Overview Overview  Background g  USACE hydropower project cost estimating y p p j g process  Challenges in cost estimating & strategies for mitigation of cost risk BUILDING STRONG ® HYDROELECTRIC DESIGN CENTER 2 USACE regulations USACE regulations  ER 1110-1-1300 Cost Engineering Policy and General Requirements  ER 1110-2-1150 Engineering and Design for Civil Works Project  ER 1110-2-1302 Civil Works Cost Engineering ETL 1110 2 573 C t ti C t E ti ti  ETL 1110-2-573 Construction Cost Estimating Guide for Civil Works BUILDING STRONG ® HYDROELECTRIC DESIGN CENTER 3 Hydroelectric

289

Expert judgement in cost estimating: Modelling the reasoning process  

E-Print Network (OSTI)

Expert Judgement (EJ) is used extensively during the generation of cost estimates. Cost estimators have to make numerous assumptions and judgements about what they think a new product will cost. However, the use of EJ is often frowned upon, not well accepted or understood by non-cost estimators within a concurrent engineering environment. Computerised cost models, in many ways, have reduced the need for EJ but by no means have they, or can they, replace it. The cost estimates produced from both algorithmic and non-algorithmic cost models can be widely inaccurate; and, as the work of this paper highlights, require extensive use of judgement in order to produce a meaningful result. Very little research tackles the issues of capturing and integrating EJ and rationale into the cost estimating process. Therefore, this

Christopher Rush; Rajkumar Roy

2001-01-01T23:59:59.000Z

290

Continuous-Estimator Representation for Monte Carlo Criticality Diagnostics  

Science Conference Proceedings (OSTI)

An alternate means of computing diagnostics for Monte Carlo criticality calculations is proposed. Overlapping spherical regions or estimators are placed covering the fissile material with a minimum center-to-center separation of the 'fission distance', which is defined herein, and a radius that is some multiple thereof. Fission neutron production is recorded based upon a weighted average of proximities to centers for all the spherical estimators. These scores are used to compute the Shannon entropy, and shown to reproduce the value, to within an additive constant, determined from a well-placed mesh by a user. The spherical estimators are also used to assess statistical coverage.

Kiedrowski, Brian C. [Los Alamos National Laboratory; Brown, Forrest B. [Los Alamos National Laboratory

2012-06-18T23:59:59.000Z

291

Estimation of Thin Ice Thickness and Detection of Fast Ice from SSM/I Data in the Antarctic Ocean  

Science Conference Proceedings (OSTI)

Antarctic coastal polynyas are important areas of high sea ice production and dense water formation, and thus their detection including an estimate of thin ice thickness is essential. In this paper, the authors propose an algorithm that estimates ...

Takeshi Tamura; Kay I. Ohshima; Thorsten Markus; Donald J. Cavalieri; Sohey Nihashi; Naohiko Hirasawa

2007-10-01T23:59:59.000Z

292

Louisiana--South Onshore Coalbed Methane Production (Billion...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production LA, South Onshore Coalbed Methane Proved Reserves, Reserves...

293

California (with State off) Coalbed Methane Production (Billion...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production California Coalbed Methane Proved Reserves, Reserves Changes,...

294

Texas (with State Offshore) Coalbed Methane Production (Billion...  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production Texas Coalbed Methane Proved Reserves, Reserves Changes, and...

295

Texas--RRC District 8 Coalbed Methane Production (Billion Cubic...  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 8 Coalbed Methane Proved Reserves, Reserves...

296

Texas--RRC District 5 Coalbed Methane Production (Billion Cubic...  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 5 Coalbed Methane Proved Reserves, Reserves...

297

Texas--RRC District 6 Coalbed Methane Production (Billion Cubic...  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 6 Coalbed Methane Proved Reserves, Reserves...

298

Lower 48 Federal Offshore Coalbed Methane Production (Billion...  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production Federal Offshore U.S. Coalbed Methane Proved Reserves, Reserves...

299

Texas--RRC District 9 Coalbed Methane Production (Billion Cubic...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 9 Coalbed Methane Proved Reserves, Reserves...

300

Texas--RRC District 3 Onshore Coalbed Methane Production (Billion...  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 3 Onshore Coalbed Methane Proved Reserves,...

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Texas--RRC District 4 Onshore Coalbed Methane Production (Billion...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 4 Onshore Coalbed Methane Proved Reserves,...

302

Texas--RRC District 1 Coalbed Methane Production (Billion Cubic...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 1 Coalbed Methane Proved Reserves, Reserves...

303

New York Coalbed Methane Production (Billion Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production New York Coalbed Methane Proved Reserves, Reserves Changes, and...

304

Texas--RRC District 10 Coalbed Methane Production (Billion Cubic...  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 10 Coalbed Methane Proved Reserves, Reserves...

305

North Dakota Coalbed Methane Production (Billion Cubic Feet)  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production North Dakota Coalbed Methane Proved Reserves, Reserves Changes,...

306

Louisiana--State Offshore Coalbed Methane Production (Billion...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production LA, State Offshore Coalbed Methane Proved Reserves, Reserves...

307

Texas--RRC District 2 Onshore Coalbed Methane Production (Billion...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 2 Onshore Coalbed Methane Proved Reserves,...

308

Alaska (with Total Offshore) Coalbed Methane Production (Billion...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production Alaska Coalbed Methane Proved Reserves, Reserves Changes, and...

309

Texas--State Offshore Coalbed Methane Production (Billion Cubic...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, State Offshore Coalbed Methane Proved Reserves, Reserves...

310

Mississippi (with State off) Coalbed Methane Production (Billion...  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production Mississippi Coalbed Methane Proved Reserves, Reserves Changes,...

311

Iraqi crude oil production approaching highest level in decades ...  

U.S. Energy Information Administration (EIA)

Estimated Iraqi oil production surpassed 3 million barrels per day (bbl/d) in July 2012, the highest level since the end of the Gulf War in 1990.

312

Laherrere’s Oil Production Forecast, 1930-2150  

U.S. Energy Information Administration (EIA)

L. F. Ivanhoe’s estimate also showed peak production around 2010 (“Get Ready For Another Oil Shock!,” The Futurist, Jan-Feb, 1997).

313

Potential Oil Production from the Coastal Plain of the Arctic...  

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

Survey (USGS) resource assessments. This report contains EIA projections of future daily production rates using recent USGS resource estimates. The Coastal Plain study area...

314

Table 7. Crude oil proved reserves, reserves changes, and production...  

Gasoline and Diesel Fuel Update (EIA)

: Crude oil proved reserves, reserves changes, and production, 2011 million barrels Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves...

315

Natural Gas Productive Capacity for the Lower-48 States  

U.S. Energy Information Administration (EIA)

An analysis report from the Energy Information Administration which estimates the increases in natural gas productive capacity which should be expected in 2001, given ...

316

Topic: Productivity  

Science Conference Proceedings (OSTI)

... General Information: 301-975-5020 mfg@nist ... competitive in the global market, companies need to ... become more efficient in energy, production and ...

2013-09-26T23:59:59.000Z

317

OIL PRODUCTION  

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

OIL PRODUCTION Enhanced Oil Recovery (EOR) is a term applied to methods used for recovering oil from a petroleum reservoir beyond that recoverable by primary and secondary methods....

318

Hydrogen Production  

Office of Scientific and Technical Information (OSTI)

Hydrogen Production Hydrogen Research in DOE Databases Energy Citations Database Information Bridge Science.gov WorldWideScience.org Increase your H2IQ More information Making...

319

Silicon Production  

Science Conference Proceedings (OSTI)

Mar 12, 2012 ... An Investigation into the Electrochemical Production of Si by the FFC Cambridge Process: Emre Ergül1; ?shak Karakaya2; Metehan Erdo?an2; ...

320

North Sea reserve appreciation, production, and depletion  

E-Print Network (OSTI)

Oil field "growth" has become a well-recognized phenomenon in mature, well-explored provinces such as the United States leading to the continual under-estimation in oil production forecasts. This working paper explores the ...

Sem, Tone

1999-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

China's Cement Production:  

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

Estimation of CO Estimation of CO 2 Emissions from China's Cement Production: Methodologies and Uncertainties Jing Ke, Michael McNeil, Lynn Price, Nina Zheng Khanna, Nan Zhou Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Reprint version of journal article published in "Energy Policy", Volume 57, Pages 172-181, June 2013 January 2013 This work was supported by the China Sustainable Energy Program of the Energy Foundation through the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY LBNL-6329E Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any

322

ARM - VAP Product - armbecldrad  

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

Productsarmbearmbecldrad Productsarmbearmbecldrad Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095314 DOI: 10.5439/1039926 Central Facility, Lamont, OK (SGP C1) DOI: 10.5439/1039927 Central Facility, Barrow AK (NSA C1) DOI: 10.5439/1039928 Central Facility, Manus I., PNG (TWP C1) DOI: 10.5439/1039929 Central Facility, Nauru Island (TWP C2) DOI: 10.5439/1039930 Central Facility, Darwin, Australia (TWP C3) [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ARMBECLDRAD ARMBE: Cloud Radiation measurements Active Dates 1996.01.01 - 2011.01.01 Originating VAP Process ARM Best Estimate Data Products : ARMBE Description The ARMBE Cloud Radiation (ARMBECLDRAD) VAP contains a best estimate of

323

ARM - VAP Product - armbeatm  

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

Productsarmbearmbeatm Productsarmbearmbeatm Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095313 DOI: 10.5439/1039931 Central Facility, Lamont, OK (SGP C1) DOI: 10.5439/1039932 Central Facility, Barrow AK (NSA C1) DOI: 10.5439/1039933 Central Facility, Manus I., PNG (TWP C1) DOI: 10.5439/1039934 Central Facility, Nauru Island (TWP C2) DOI: 10.5439/1039935 Central Facility, Darwin, Australia (TWP C3) [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ARMBEATM ARMBE: Atmospheric measurements Active Dates 1994.01.01 - 2012.12.31 Originating VAP Process ARM Best Estimate Data Products : ARMBE Description The ARM Best Estimate Atmospheric Measurements (ARMBEATM) value-added

324

Weekly Coal Production by State - Energy Information Administration  

U.S. Energy Information Administration (EIA)

For the week ended October 12, 2013: U.S. coal production totaled approximately 18.9 million short tons (mmst) This production estimate is 6.7 percent higher than ...

325

The New French Operational Radar Rainfall Product. Part II: Validation  

Science Conference Proceedings (OSTI)

A new operational radar-based rainfall product has been developed at Météo-France and is currently being deployed within the French operational network. The new quantitative precipitation estimation (QPE) product is based entirely on radar data ...

P. Tabary; J. Desplats; K. Do Khac; F. Eideliman; C. Gueguen; J-C. Heinrich

2007-06-01T23:59:59.000Z

326

Weekly Coal Production by State - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

For the week ended November 02, 2013: U.S. coal production totaled approximately 19.3 million short tons (mmst) This production estimate is 0.1 percent higher than ...

327

Product guide: energy-efficient ballasts  

SciTech Connect

The product guide covers the energy-efficient ballasts of seven manufacturers as a representative sample. The guide provides directory information on the companies, describes models, and lists price ranges and payback estimates. A summary of ballast features includes estimated life and output. Other sections cover lead and installation times and arrangements for warranties and service.

1985-10-21T23:59:59.000Z

328

2012 Domestic Uranium Production Report  

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

10. Uranium reserve estimates at the end of 2012" 10. Uranium reserve estimates at the end of 2012" "million pounds U3O8" "Uranium Reserve Estimates1 by Mine and Property Status, Mining Method, and State(s)","Forward Cost 2" ,"$0 to $30 per pound","$0 to $50 per pound","$0 to $100 per pound" "Properties with Exploration Completed, Exploration Continuing, and Only Assessment Work","W","W",101.956759 "Properties Under Development for Production","W","W","W" "Mines in Production","W",21.40601,"W" "Mines Closed Temporarily and Closed Permanently","W","W",133.139239 "In-Situ Leach Mining","W","W",128.576534

329

Radiation dose estimates for radiopharmaceuticals  

SciTech Connect

Tables of radiation dose estimates based on the Cristy-Eckerman adult male phantom are provided for a number of radiopharmaceuticals commonly used in nuclear medicine. Radiation dose estimates are listed for all major source organs, and several other organs of interest. The dose estimates were calculated using the MIRD Technique as implemented in the MIRDOSE3 computer code, developed by the Oak Ridge Institute for Science and Education, Radiation Internal Dose Information Center. In this code, residence times for source organs are used with decay data from the MIRD Radionuclide Data and Decay Schemes to produce estimates of radiation dose to organs of standardized phantoms representing individuals of different ages. The adult male phantom of the Cristy-Eckerman phantom series is different from the MIRD 5, or Reference Man phantom in several aspects, the most important of which is the difference in the masses and absorbed fractions for the active (red) marrow. The absorbed fractions for flow energy photons striking the marrow are also different. Other minor differences exist, but are not likely to significantly affect dose estimates calculated with the two phantoms. Assumptions which support each of the dose estimates appears at the bottom of the table of estimates for a given radiopharmaceutical. In most cases, the model kinetics or organ residence times are explicitly given. The results presented here can easily be extended to include other radiopharmaceuticals or phantoms.

Stabin, M.G.; Stubbs, J.B.; Toohey, R.E. [Oak Ridge Inst. of Science and Education, TN (United States). Radiation Internal Dose Information Center

1996-04-01T23:59:59.000Z

330

Challenges to estimating carbon emissions from tropical deforestation  

E-Print Network (OSTI)

An accurate estimate of carbon fluxes associated with tropical deforestation from the last two decades is needed to balance the global carbon budget. Several studies have already estimated carbon emissions from tropical deforestation, but the estimates vary greatly and are difficult to compare due to differences in data sources, assumptions, and methodologies. In this paper, we review the different estimates and datasets, and the various challenges associated with comparing them and with accurately estimating carbon emissions from deforestation. We performed a simulation study over legal Amazonia to illustrate some of these major issues. Our analysis demonstrates the importance of considering land-cover dynamics following deforestation, including the fluxes from reclearing of secondary vegetation, the decay of product and slash pools, and the fluxes from regrowing forest. It also suggests that accurate carbon-flux estimates will need to consider historical land-cover changes for at least the previous 20 years. However, this result is highly sensitive to estimates of the partitioning of cleared carbon into instantaneous burning vs. long-timescale slash pools. We also show that carbon flux estimates based on ‘committed flux ’ calculations, as used by a few studies, are not comparable with the ‘annual balance ’ calculation method used by other studies.

Holly K. Gibbsw; Frédéric Achardz; Ruth Defries; Jonathan A. Foleyw; R. A. Houghton

2006-01-01T23:59:59.000Z

331

Principal Components Instrumental Variable Estimation  

E-Print Network (OSTI)

. The reason for the inconsistency is that the least squares estimation used for the projection of the first stage tends to fit too well, rendering an overfitted PKX which is still correlated with u if the number of instruments is large. The estimating... -dimensional IVE is just an IVE and as such possesses up to rn?G?2 moments, and thus it may achieve the performance in terms of bias of the ‘no moments’ estimators without displaying their unduly volatility due to fat tails. The fulfilment of condition (A) is key...

Winkelried, Diego; Smith, Richard J.

2011-01-31T23:59:59.000Z

332

OPEC Crude Oil Production 1999-2001  

Gasoline and Diesel Fuel Update (EIA)

3 of 17 3 of 17 Notes: After declining in 1999 due to a series of announced production cuts, OPEC 10 (OPEC countries excluding Iraq) production has been increasing during 2000. EIA's projected OPEC production levels for fourth quarter 2000 have been lowered by 300,000 barrels per day from the previous Outlook. Most of this decrease is in OPEC 10 production, which is estimated to be 26.5 million barrels per day. EIA still believes that only Saudi Arabia, and to a lesser degree, the United Arab Emirates, will have significant short-term capacity to expand production. EIA's forecast assumes that OPEC 10 crude oil production will decline by 400,000 barrels per day to 26.1 million barrels per day by mid-2001. Iraqi crude oil production is estimated to have increased from 2.3 million

333

Estimation of Surface Heat Flux  

Science Conference Proceedings (OSTI)

The authors reconsider the problem of estimating the sensible heat transfer at the earth's surface from direct measurements of turbulent fluxes in the atmospheric boundary layer. For simplicity, only horizontally homogeneous conditions are ...

Jielun Sun; Steven K. Esbensen; L. Mahrt

1995-09-01T23:59:59.000Z

334

Estimation of resources and reserves  

E-Print Network (OSTI)

This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

Massachusetts Institute of Technology. Energy Laboratory.

1982-01-01T23:59:59.000Z

335

Estimating Major and Minor Natural Fracture Patterns in Gas  

E-Print Network (OSTI)

Estimating Major and Minor Natural Fracture Patterns in Gas Shales Using Production Data Razi Identification of infill drilling locations has been challenging with mixed results in gas shales. Natural fractures are the main source of permeability in gas shales. Natural fracture patterns in shale has a random

Mohaghegh, Shahab

336

Hydrogen Production  

Fuel Cell Technologies Publication and Product Library (EERE)

This 2-page fact sheet provides a brief introduction to hydrogen production technologies. Intended for a non-technical audience, it explains how different resources and processes can be used to produ

337

Quantum estimation of relative information  

E-Print Network (OSTI)

We derive optimal schemes for preparation and estimation of relational degrees of freedom between two quantum systems. We specifically analyze the case of rotation parameters representing relative angles between elements of the SU(2) symmetry group. Our estimation procedure does not assume prior knowledge of the absolute spatial orientation of the systems and as such does not require information on the underlying classical reference frame in which the states are prepared.

Netanel H. Lindner; Petra F. Scudo; Dagmar Bruss

2005-06-27T23:59:59.000Z

338

PDV Uncertainty Estimation & Methods Comparison  

Science Conference Proceedings (OSTI)

Several methods are presented for estimating the rapidly changing instantaneous frequency of a time varying signal that is contaminated by measurement noise. Useful a posteriori error estimates for several methods are verified numerically through Monte Carlo simulation. However, given the sampling rates of modern digitizers, sub-nanosecond variations in velocity are shown to be reliably measurable in most (but not all) cases. Results support the hypothesis that in many PDV regimes of interest, sub-nanosecond resolution can be achieved.

Machorro, E.

2011-11-01T23:59:59.000Z

339

MODIS Land Products Subsets  

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

Global Subsetting and Visualization Tool Global Subsetting and Visualization Tool The Global Subsetting and Visualization Tool provides customized subsets of MODIS Land products in ASCII format on demand for any location on Earth. Users select a site (either from a picklist or by entering the site's geographic coordinates) and the area surrounding that site, from one pixel up to 201 x 201 km. The tool is expected to take up to 60 minutes to complete the processing, and the tool will send you an email message containing the URL where you can access the output. The tool provides time series plots of the measurement, an ASCII file of the pixel values for the selected product along with quality information, average and standard deviations for the area selected, and a file that can be imported directly into GIS software. In addition we provide a land cover grid (IGBP classification) of the area, along with an estimate of heterogeneity (Shannon richness and evenness).

340

2012 Domestic Uranium Production Report  

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

2. U.S. uranium mine production and number of mines and sources, 2003-2012" 2. U.S. uranium mine production and number of mines and sources, 2003-2012" "Production / Mining Method",2003,2004,2005,2006,2007,2008,2009,2010,2011,2012 "Underground" "(estimated contained thousand pounds U3O8)","W","W","W","W","W","W","W","W","W","W" "Open Pit" "(estimated contained thousand pounds U3O8)",0,0,0,0,0,0,0,0,0,0 "In-Situ Leaching" "(thousand pounds U3O8)","W","W",2681,4259,"W","W","W","W","W","W" "Other1" "(thousand pounds U3O8)","W","W","W","W","W","W","W","W","W","W"

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

DOE G 430.1-1 Chp 15, Estimating Methods  

Directives, Delegations, and Requirements

Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

1997-03-28T23:59:59.000Z

342

Preliminary relative permeability estimates of methanehydrate-bearing sand  

Science Conference Proceedings (OSTI)

The relative permeability to fluids in hydrate-bearing sediments is an important parameter for predicting natural gas production from gas hydrate reservoirs. We estimated the relative permeability parameters (van Genuchten alpha and m) in a hydrate-bearing sand by means of inverse modeling, which involved matching water saturation predictions with observations from a controlled waterflood experiment. We used x-ray computed tomography (CT) scanning to determine both the porosity and the hydrate and aqueous phase saturation distributions in the samples. X-ray CT images showed that hydrate and aqueous phase saturations are non-uniform, and that water flow focuses in regions of lower hydrate saturation. The relative permeability parameters were estimated at two locations in each sample. Differences between the estimated parameter sets at the two locations were attributed to heterogeneity in the hydrate saturation. Better estimates of the relative permeability parameters require further refinement of the experimental design, and better description of heterogeneity in the numerical inversions.

Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.

2006-05-08T23:59:59.000Z

343

Analysis of Cost Estimating Processes Used Within a Concurrent Engineering  

E-Print Network (OSTI)

Concurrent engineering environments affect the cost estimating and engineering capability of an organisation. Cost estimating tools become outdated and need changing in order to reflect the new environment. This is essential, since cost estimating is the start of the cost management process and influences the `go', `no go' decisions concerning a new product development. This paper examines both traditional and more recent developments in order to highlight their advantages and limitations. The analysis includes parametric estimating, feature based costing, artificial intelligence, and cost management techniques. This study was deemed necessary because recent investigations carried out by Cranfield University highlighted that many concurrent engineering companies are not making efficient, wide spread use of existing estimating and cost management tools. In order to promote more efficient use of the discussed estimating processes within the twenty first century, this paper highlights the work of a leading European aerospace manufacturer and their efforts to develop a more seamless estimating environment. Furthermore, a matrix is developed that illustrates particular concurrent engineering environments to which each technique is aptly suited.

Environment Throughout Product; Christopher Rush; Dr. Rajkumar Roy

2000-01-01T23:59:59.000Z

344

A Bayesian Framework for Combining Valuation Estimates  

E-Print Network (OSTI)

Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.

Kenton K. Yee

2007-07-24T23:59:59.000Z

345

Oklahoma Lease Condensate Proved Reserves, Reserve Changes ...  

U.S. Energy Information Administration (EIA)

Area: Period: Annual : Download Series History: Definitions, Sources ... 51: 2009-2011: Revision Decreases : 36: 54: 42: 2009-2011: Sales : 5: 1: 26: 2009-2011 ...

346

Density estimation for data with rounding errors  

Science Conference Proceedings (OSTI)

Rounding of data is common in practice. The problem of estimating the underlying density function based on data with rounding errors is addressed. A parametric maximum likelihood estimator and a nonparametric bootstrap kernel density estimator are proposed. ... Keywords: Bootstrapping, Deconvolution density estimation, Fast Fourier transformation, Kernel density estimation, Measurement error

B. Wang, W. Wertelecki

2013-09-01T23:59:59.000Z

347

James-Stein type estimators of variances  

Science Conference Proceedings (OSTI)

In this paper we propose James-Stein type estimators for variances raised to a fixed power by shrinking individual variance estimators towards the arithmetic mean. We derive and estimate the optimal choices of shrinkage parameters under both the squared ... Keywords: 62H12, Inadmissibility, Shrinkage estimation, Shrinkage parameter, Squared loss function, Stein loss function, Variance estimation

Tiejun Tong; Homin Jang; Yuedong Wang

2012-05-01T23:59:59.000Z

348

Estimated Cost Description Determination Date:  

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

and posted 2/10/2011 and posted 2/10/2011 *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain $50,000 FONSI: uncertain Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $70,000 Attachment: Memo, Moody to Marcinowski, III, SUBJECT: NEPA 2011 APS for DOE-SRS, Dated: Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next 12 Months Department of Energy (DOE) Savannah River Site (SRS) Jan-11 Estimated Schedule (**NEPA Milestones) South Carolina Department of Health and Environmental Control (SCDHEC) issued a National Pollutant Discharge Elimination System (NPDES) Industrial Stormwater General Permit (IGP) # SCR000000 November 12, with an effective date of January

349

Estimated Water Flows in 2005: United States  

Science Conference Proceedings (OSTI)

Flow charts depicting water use in the United States have been constructed from publicly available data and estimates of water use patterns. Approximately 410,500 million gallons per day of water are managed throughout the United States for use in farming, power production, residential, commercial, and industrial applications. Water is obtained from four major resource classes: fresh surface-water, saline (ocean) surface-water, fresh groundwater and saline (brackish) groundwater. Water that is not consumed or evaporated during its use is returned to surface bodies of water. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states in addition to Puerto Rico and the Virgin Islands) and one national water flow chart representing a comprehensive systems view of national water resources, use, and disposition.

Smith, C A; Belles, R D; Simon, A J

2011-03-16T23:59:59.000Z

350

Hydrogen production  

SciTech Connect

The production of hydrogen by reacting an ash containing material with water and at least one halogen selected from the group consisting of chlorine, bromine and iodine to form reaction products including carbon dioxide and a corresponding hydrogen halide is claimed. The hydrogen halide is decomposed to separately release the hydrogen and the halogen. The halogen is recovered for reaction with additional carbonaceous materials and water, and the hydrogen is recovered as a salable product. In a preferred embodiment the carbonaceous material, water and halogen are reacted at an elevated temperature. In accordance with another embodiment, a continuous method for the production of hydrogen is provided wherein the carbonaceous material, water and at least one selected halogen are reacted in one zone, and the hydrogen halide produced from the reaction is decomposed in a second zone, preferably by electrolytic decomposition, to release the hydrogen for recovery and the halogen for recycle to the first zone. There also is provided a method for recovering any halogen which reacts with or is retained in the ash constituents of the carbonaceous material.

Darnell, A.J.; Parkins, W.E.

1978-08-08T23:59:59.000Z

351

Product Forms  

Science Conference Proceedings (OSTI)

Table 1 Wrought alloy products and tempers...or cold-finished Rivets Forgings and forging stock Foil Fin stock Drawn Extruded Rod Bar Wire 1050 . . . . . . . . . H112 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1060 O, H12, H14, H16, H18 O, H12, H14, H112 O, H12, H14, H18, H113 O, H112 . . . .

352

2001: Surface estimation based on LIDAR  

E-Print Network (OSTI)

In the past several years, the use of airborne laser systems or LIDAR for the rapid collection of digital terrain models (DTMs) has proliferated. Flood plain studies, contouring, road engineering projects, volumetric computations, ortho-photo production, and mapping for beach erosion are just some of the applications driving the demand for this technology. The ability of LIDAR systems to capture accurate spot heights at an extremely rapid rate is the principle reason behind LIDAR's success. Many applications, for example, contouring, require a bald-earth DTM. Unfortunately, the raw data points captured by LIDAR do not constitute a bald-earth DTM. Even though most LIDAR systems can measure "lastreturn" data points, these "last-return " points often measure ground clutter like shrubbery, cars, buildings, and even the canopy of dense foliage. Consequently, raw LIDAR points must be post-processed to remove these undesirable returns. The degree to which this post processing is successful is critical in determining whether LIDAR is cost effective for large-scale mapping applications. We present our approach to estimating bald-earth surfaces from LIDAR data. Our approach is different from typical approaches in that we estimate a surface based on the original LIDAR points while at the same time considering important supplementary information. This other information includes independently measured breaklines and surface categories. We use a least-squares adjustment with robust estimation similar to that proposed by (Kraus, Pfeifer, 1998). The surface model is represented using a triangular irregular network or TIN. We present examples from a real mapping project that demonstrate the success of this approach.

Wolfgang Schickler; Anthony Thorpe

2001-01-01T23:59:59.000Z

353

BLE: Battery Life Estimator | Argonne National Laboratory  

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

Life Estimator (BLE) software is a state-of-the-art tool kit for fitting battery aging data and for battery life estimation. It was designed to make life-cycle estimates...

354

Periodicity estimation of Dynamic Textures  

Science Conference Proceedings (OSTI)

Dynamic Textures (DTs) are image sequences of natural events like fire, smoke, water etc., that possesses regular motion patterns. Periodicity is a widely used tool to analyse regular structures of periodic one dimensional signals as well as two dimensional ... Keywords: co-occurrence matrix, dynamic textures, image sequences, image texture analysis, motion patterns, natural events, periodicity estimation, temporal textures

Khalid Zaman Bijon; Ahmed Hasan; Ashfaqur Rahman; Manzur Murshed

2008-03-01T23:59:59.000Z

355

Practical Estimates of Lake Evaporation  

Science Conference Proceedings (OSTI)

Practical estimates of lake evaporation must rely on data that can be observed in the land environment. This requires the ability to take into account the changes in the temperature and humidity that occur when the air passes from the land to the ...

F. I. Morton

1986-03-01T23:59:59.000Z

356

An Improved Cluster Richness Estimator  

Science Conference Proceedings (OSTI)

Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. In this work, we introduce a new matched filter richness estimator, and test its performance using the maxBCG cluster catalog. Our new estimator significantly reduces the variance in the L{sub X}-richness relation, from {sigma}{sub lnL{sub X}}{sup 2} = (0.86 {+-} 0.02){sup 2} to {sigma}{sub lnL{sub X}}{sup 2} = (0.69 {+-} 0.02){sup 2}. Relative to the maxBCG richness estimate, it also removes the strong redshift dependence of the richness scaling relations, and is significantly more robust to photometric and redshift errors. These improvements are largely due to our more sophisticated treatment of galaxy color data. We also demonstrate the scatter in the L{sub X}-richness relation depends on the aperture used to estimate cluster richness, and introduce a novel approach for optimizing said aperture which can be easily generalized to other mass tracers.

Rozo, Eduardo; /Ohio State U.; Rykoff, Eli S.; /UC, Santa Barbara; Koester, Benjamin P.; /Chicago U. /KICP, Chicago; McKay, Timothy; /Michigan U.; Hao, Jiangang; /Michigan U.; Evrard, August; /Michigan U.; Wechsler, Risa H.; /SLAC; Hansen, Sarah; /Chicago U. /KICP, Chicago; Sheldon, Erin; /New York U.; Johnston, David; /Houston U.; Becker, Matthew R.; /Chicago U. /KICP, Chicago; Annis, James T.; /Fermilab; Bleem, Lindsey; /Chicago U.; Scranton, Ryan; /Pittsburgh U.

2009-08-03T23:59:59.000Z

357

Dual Estimates of the Optimal Plan Model and Regional Market Costs: A Relationship  

Science Conference Proceedings (OSTI)

The relationship between linear programming dual estimates for the optimal production plan model and real regional market costs is studied. A two-stage linear programming model is necessary for exact approximation of cost allocation in analyzing with ...

Yu. M. Tsodikov; Ya. Yu. Tsodikova

2001-04-01T23:59:59.000Z

358

The Effect of Storm Life Cycle on Satellite Rainfall Estimation Error  

Science Conference Proceedings (OSTI)

The study uses storm tracking information to evaluate error statistics of satellite rain estimation at different maturity stages of storm life cycles. Two satellite rain retrieval products are used for this purpose: (i) NASA’s Multisatellite ...

Alemu Tadesse; Emmanouil N. Anagnostou

2009-04-01T23:59:59.000Z

359

Estimation of foliar pigment concentration in floating macrophytes using hyperspectral vegetation indices  

Science Conference Proceedings (OSTI)

Foliar pigment concentrations of chlorophylls and cartenoids are important indicators of plant physiological status, photosynthesis rate, and net primary productivity. Although the utility of hyperspectral derived vegetation indices for estimating foliar ...

Cameron Proctor; Yuhong He

2013-11-01T23:59:59.000Z

360

Introduction: Integrative Approaches for Estimating Current and Future Feedstock Availability  

Science Conference Proceedings (OSTI)

Biomass that is used to generate energy, through conversion processes or direct combustion, is referred to as a bioenergy feedstock. Establishment of bioenergy feedstocks as an agricultural commodity has the potential to alter land management, carbon stocks, water quality, and greenhouse gas emissions over large geographic areas. Estimation of current and future feedstock availability is an essential step in assessing potential environmental and economic impacts of feedstock production. The purpose of this special issue is to communicate integrative approaches that combine data and modeling capabilities for estimation of current and future feedstock availability.

West, Tristram O.

2010-09-08T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Unsupervised clustering and centroid estimation using dynamic ...  

Science Conference Proceedings (OSTI)

solving cluster detection and centroid estimation prob- lems. ... density function and these vectors estimate the cen- ..... an algorithm to minimize a cost function.

362

Estimating Waste Inventory and Waste Tank Characterization |...  

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

Estimating Waste Inventory and Waste Tank Characterization Estimating Waste Inventory and Waste Tank Characterization Summary Notes from 28 May 2008 Generic Technical Issue...

363

GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process  

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

GAO Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process Step Description Associated task 1 Define estimate's purpose Determine estimate's purpose, required level of detail, and overall scope; Determine who will receive the estimate 2 Develop estimating plan Determine the cost estimating team and develop its master schedule; Determine who will do the independent cost estimate; Outline the cost estimating approach; Develop the estimate timeline 3 Define program characteristics In a technical baseline description document, identify the program's

364

Production Practice  

Science Conference Proceedings (OSTI)

...Figure 1 shows the sequence of shapes in the production of a hollow handle for a table knife formed and coined in a 410 kg (900 lb) pneumatic drop hammer. The work metal was 0.81 mm (0.032 in.) thick copper alloy C75700 (nickel silver, 65â??12) annealed to a hardness of 35 to 45 HRB; blank size was 25 by...

365

Biofuel Production  

E-Print Network (OSTI)

Copyright © 2011 Hiroshi Sakuragi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Large amounts of fossil fuels are consumed every day in spite of increasing environmental problems. To preserve the environment and construct a sustainable society, the use of biofuels derived from different kinds of biomass is being practiced worldwide. Although bioethanol has been largely produced, it commonly requires food crops such as corn and sugar cane as substrates. To develop a sustainable energy supply, cellulosic biomass should be used for bioethanol production instead of grain biomass. For this purpose, cell surface engineering technology is a very promising method. In biobutanol and biodiesel production, engineered host fermentation has attracted much attention; however, this method has many limitations such as low productivity and low solvent tolerance of microorganisms. Despite these problems, biofuels such as bioethanol, biobutanol, and biodiesel are potential energy sources that can help establish a sustainable society. 1.

Hiroshi Sakuragi; Kouichi Kuroda; Mitsuyoshi Ueda

2010-01-01T23:59:59.000Z

366

Figure 1.6 State-Level Energy Consumption Estimates and Estimated ...  

U.S. Energy Information Administration (EIA)

Figure 1.6 State-Level Energy Consumption Estimates and Estimated Consumption per Capita, 2010 Consumption Consumption per Capita

367

Application of the parametric cost estimation in the textile supply chain  

E-Print Network (OSTI)

In a current high competitive business environment, cost estimation is a strategic tool in order to make decisions related to products during their design and development phases. Against traditional estimation methods, that needs to wait until the technical description of the product is completed, there exist new methods allowing to estimate the cost quickly and with an acceptable accuracy. Complementarily to cost management methods (for example, standard cost management analytic or Activity-Based Costing techniques), such new cost estimation methods may shorten the design phase when the rapidity of the conception is needed. This way may be valid when there is a huge number of models, and/or high level of new design rate. This paper compares various cost estimation methods in the textile context: their advantages, drawbacks, and applicability in the product life cycle. The parametric cost estimation model is particularly suited to the earliest stage of design-to-cost approach. It is widely used in different industrial domains such as aerospace, aircraft, telecommunication and automotive industries in order to accelerate and drive the product development process. Even though the industrial contexts seem to be different, this paper shows several possibilities of application of parametric cost estimation methods in the textile and garment industries, and the procedures and tools required for their computation. Finally, this approach has been applied to estimate the unitary cost of a representative family of wool textile fabrics.

M. Camargo; B. Rabenasolo; A-m. Jolly-desodt; J-m. Castelain

2003-01-01T23:59:59.000Z

368

Tree Biomass Estimates on Forest Land in California's North Coast Region1  

E-Print Network (OSTI)

Tree Biomass Estimates on Forest Land in California's North Coast Region1 Tian-Ting Shih2 Tree biomass is one essential component in a forest ecosystem and is getting more attention nowadays due to its sequestration, energy production, and other natural and social resources uses and impacts. A biomass estimator

Standiford, Richard B.

369

Coalbed Methane New Field Discoveries  

Gasoline and Diesel Fuel Update (EIA)

0 0 0 2009-2011 0 0 0 2009-2011 Federal Offshore U.S. 0 0 0 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 0 0 0 2009-2011 Texas 0 0 0 2009-2011 Alaska 0 0 0 2009-2011 Lower 48 States 0 0 0 2009-2011 Alabama 0 0 0 2009-2011 Arkansas 0 0 0 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 0 0 0 2009-2011 Florida 0 0 0 2009-2011 Kansas 0 0 0 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 0 0 0 2009-2011 North 0 0 0 2009-2011 South Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 0 0 0 2009-2011 Mississippi 0 0 0 2009-2011 Montana 0 0 0 2009-2011 New Mexico

370

Coalbed Methane New Field Discoveries  

Gasoline and Diesel Fuel Update (EIA)

0 0 0 2009-2011 0 0 0 2009-2011 Federal Offshore U.S. 0 0 0 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 0 0 0 2009-2011 Texas 0 0 0 2009-2011 Alaska 0 0 0 2009-2011 Lower 48 States 0 0 0 2009-2011 Alabama 0 0 0 2009-2011 Arkansas 0 0 0 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 0 0 0 2009-2011 Florida 0 0 0 2009-2011 Kansas 0 0 0 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 0 0 0 2009-2011 North 0 0 0 2009-2011 South Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 0 0 0 2009-2011 Mississippi 0 0 0 2009-2011 Montana 0 0 0 2009-2011 New Mexico

371

Coalbed Methane Reserves Extensions  

Gasoline and Diesel Fuel Update (EIA)

724 497 736 2009-2011 724 497 736 2009-2011 Federal Offshore U.S. 0 0 0 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 0 0 0 2009-2011 Texas 0 0 0 2009-2011 Alaska 0 0 0 2009-2011 Lower 48 States 724 497 736 2009-2011 Alabama 21 29 3 2009-2011 Arkansas 0 0 0 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 48 184 220 2009-2011 Florida 0 0 0 2009-2011 Kansas 7 1 3 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 0 0 0 2009-2011 North 0 0 0 2009-2011 South Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 0 0 0 2009-2011 Mississippi 0 0 0 2009-2011 Montana 3 3 0 2009-2011

372

Crude Oil plus Lease Condensate New Field Discoveries  

Gasoline and Diesel Fuel Update (EIA)

141 124 481 2009-2011 141 124 481 2009-2011 Federal Offshore U.S. 96 10 410 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 34 10 410 2009-2011 Texas 62 0 0 2009-2011 Alaska 9 0 0 2009-2011 Lower 48 States 132 124 481 2009-2011 Alabama 0 1 1 2009-2011 Arkansas 0 0 0 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 0 0 0 2009-2011 Florida 0 0 0 2009-2011 Illinois 0 0 0 2009-2011 Indiana 0 0 0 2009-2011 Kansas 2 2 2 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 0 0 1 2009-2011 North 0 0 0 2009-2011 South Onshore 0 0 1 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 10 0 8 2009-2011

373

Crude Oil plus Lease Condensate New Field Discoveries  

Gasoline and Diesel Fuel Update (EIA)

141 124 481 2009-2011 141 124 481 2009-2011 Federal Offshore U.S. 96 10 410 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 34 10 410 2009-2011 Texas 62 0 0 2009-2011 Alaska 9 0 0 2009-2011 Lower 48 States 132 124 481 2009-2011 Alabama 0 1 1 2009-2011 Arkansas 0 0 0 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 0 0 0 2009-2011 Florida 0 0 0 2009-2011 Illinois 0 0 0 2009-2011 Indiana 0 0 0 2009-2011 Kansas 2 2 2 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 0 0 1 2009-2011 North 0 0 0 2009-2011 South Onshore 0 0 1 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 10 0 8 2009-2011

374

Economic Impacts of Marcellus Shale in Pennsylvania: Employment and Income in 2009 2011 Penn State Extension and Penn College www.msetc.org 1  

E-Print Network (OSTI)

Economic Impacts of Marcellus Shale in Pennsylvania: Employment and Income in 2009 ©2011 Penn State Extension and Penn College www.msetc.org 1 Economic Impacts of Marcellus Shale in Pennsylvania: Employment and Income in 2009 August 2011 www.msetc.org The Marcellus Shale Education & Training Center (MSETC

Boyer, Elizabeth W.

375

Bayesian estimation in homodyne interferometry  

E-Print Network (OSTI)

We address phase-shift estimation by means of squeezed vacuum probe and homodyne detection. We analyze Bayesian estimator, which is known to asymptotically saturate the classical Cramer-Rao bound to the variance, and discuss convergence looking at the a posteriori distribution as the number of measurements increases. We also suggest two feasible adaptive methods, acting on the squeezing parameter and/or the homodyne local oscillator phase, which allow to optimize homodyne detection and approach the ultimate bound to precision imposed by the quantum Cramer-Rao theorem. The performances of our two-step methods are investigated by means of Monte Carlo simulated experiments with a small number of homodyne data, thus giving a quantitative meaning to the notion of asymptotic optimality.

Stefano Olivares; Matteo G. A. Paris

2009-01-16T23:59:59.000Z

376

Synthetic fuels: production and products  

DOE Green Energy (OSTI)

A brief primer on synthetic fuels is given. The paper includes brief descriptions of generic conversion technologies that can be used to convert various raw materials such as coal, oil shale, tar sands, peat, and biomass into synthetic fuels similar in character to petroleum-derived fuels currently in commerce. References for additional information on synthetic fuel processes and products are also given in the paper.

Singh, S.P.N.

1984-01-01T23:59:59.000Z

377

Synthetic fuels: production and products  

DOE Green Energy (OSTI)

A brief review on synthetic fuels is given. The paper includes brief descriptions of generic conversion technologies that can be used to convert various raw materials such as coal, oil shale, tar sands, peat and biomass into synthetic fuels similar in character to petroleum-derived fuels currently in commerce. Because the subject is vast and the space is limited, references for additional information on synthetic fuel processes and products are also given in the paper. 24 references.

Singh, S.P.

1985-08-01T23:59:59.000Z

378

Measurement campaigns for holdup estimation  

SciTech Connect

The derivation of technically defensible holdup estimates is described. Considerations important in the planning of measurement campaigns to provide necessary data are reviewed and the role of statistical sampling is discussed. By design, the presentation is nonmathematical and intended for a general audience. Though clearly important, use of sampling principles in the planning of holdup-related activities is sometimes viewed with apprehension. Holdup is often poorly understood to begin with, and the incorporation of the esoteric matters only adds to an image problem. Unfortunately, there are no painless options. In many operating facilities, surface areas on which holdup has accumulated amount to many square miles. It is not practical to pursue 100% measurement of all such surface areas. Thus, some portion is measured - constituting a ''sample,'' whether obtained by a formal procedure or not. Understanding the principles behind sampling is important in planning and in developing legitimate holdup estimates. Although derivation of legitimate, facility-wide holdup estimates is not currently mandated by Department of Energy regulatory requirements, the related activities would greatly advance the present state of knowledge.

Picard, R.R. (Los Alamos National Lab., Los Alamos, NM (US))

1988-07-01T23:59:59.000Z

379

County-level Estimates for Carbon Distribution in U.S. Croplands, 1990-2005  

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

Metadata Metadata Method of Estimation The United Sates Department of Agriculture (USDA), National Agricultural Statistics Survey (NASS) produces estimates of crop yields per county per year. These yield estimates can be converted to carbon by converting units reported by NASS to one standard unit (kg), converting to dry matter, and multiplying by a carbon content factor of 0.45 (Brady and Weil, 1996). Yield estimates are divided by the harvest index to estimate total above-ground biomass. Multiplying aboveground biomass with the root:shoot ratio provides an estimate of below-ground biomass. Finally, summing above- and below-ground biomass provides an estimate for total net primary productivity (NPP). This method follows approaches used by Prince et al. (2001), Hicke and Lobell (2004), and Hicke et al. (2004). A mean harvest

380

Fuel Cell System for Transportation -- 2005 Cost Estimate  

Science Conference Proceedings (OSTI)

Independent review report of the methodology used by TIAX to estimate the cost of producing PEM fuel cells using 2005 cell stack technology. The U.S. Department of Energy (DOE) Hydrogen, Fuel Cells and Infrastructure Technologies Program Manager asked the National Renewable Energy Laboratory (NREL) to commission an independent review of the 2005 TIAX cost analysis for fuel cell production. The NREL Systems Integrator is responsible for conducting independent reviews of progress toward meeting the DOE Hydrogen Program (the Program) technical targets. An important technical target of the Program is the proton exchange membrane (PEM) fuel cell cost in terms of dollars per kilowatt ($/kW). The Program's Multi-Year Program Research, Development, and Demonstration Plan established $125/kW as the 2005 technical target. Over the last several years, the Program has contracted with TIAX, LLC (TIAX) to produce estimates of the high volume cost of PEM fuel cell production for transportation use. Since no manufacturer is yet producing PEM fuel cells in the quantities needed for an initial hydrogen-based transportation economy, these estimates are necessary for DOE to gauge progress toward meeting its targets. For a PEM fuel cell system configuration developed by Argonne National Laboratory, TIAX estimated the total cost to be $108/kW, based on assumptions of 500,000 units per year produced with 2005 cell stack technology, vertical integration of cell stack manufacturing, and balance-of-plant (BOP) components purchased from a supplier network. Furthermore, TIAX conducted a Monte Carlo analysis by varying ten key parameters over a wide range of values and estimated with 98% certainty that the mean PEM fuel cell system cost would be below DOE's 2005 target of $125/kW. NREL commissioned DJW TECHNOLOGY, LLC to form an Independent Review Team (the Team) of industry fuel cell experts and to evaluate the cost estimation process and the results reported by TIAX. The results of this independent review will permit NREL and DOE to better understand the credibility of the TIAX cost estimation process and to implement changes in future cost analyses, if necessary. The Team found the methodology used by TIAX to estimate the cost of producing PEM fuel cells to be reasonable and, using 2005 cell stack technology and assuming production of 500,000 units per year, to have calculated a credible cost of $108/kW.

Wheeler, D.

2006-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Sugar Production  

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

Sugar Production Sugar Production Name: Lauren Location: N/A Country: N/A Date: N/A Question: This is the experiment I did: our class took 6 sugars, placed them in test tubes and put three drops of yeast in each test tube. we then placed them in the incubator for one day and the next day looked at our results. the purpose was to find out with sugar would produce the most carbon dioxide. two of the sugars that we tested were LACTOSE and STARCH. my question is, why are lactose and starch the only sugars who didn't produce any, or very very little, carbon dioxide? and how is this process related to glycolysis? Replies: Bacteria and yeast are very efficient with their enzyme systems. They don't make enzymes they can't use. Yeast don't have the enzymes necessary to metabolize lactose. Starch is a complex sugar and yeast needs certain enzymes to break starch down into sugar. Every chemical reaction needs its own enzyme.

382

Estimating Externalities of Natural Gas Fuel Cycles, Report 4  

SciTech Connect

This report describes methods for estimating the external costs (and possibly benefits) to human health and the environment that result from natural gas fuel cycles. Although the concept of externalities is far from simple or precise, it generally refers to effects on individuals' well being, that result from a production or market activity in which the individuals do not participate, or are not fully compensated. In the past two years, the methodological approach that this report describes has quickly become a worldwide standard for estimating externalities of fuel cycles. The approach is generally applicable to any fuel cycle in which a resource, such as coal, hydro, or biomass, is used to generate electric power. This particular report focuses on the production activities, pollution, and impacts when natural gas is used to generate electric power. In the 1990s, natural gas technologies have become, in many countries, the least expensive to build and operate. The scope of this report is on how to estimate the value of externalities--where value is defined as individuals' willingness to pay for beneficial effects, or to avoid undesirable ones. This report is about the methodologies to estimate these externalities, not about how to internalize them through regulations or other public policies. Notwithstanding this limit in scope, consideration of externalities can not be done without considering regulatory, insurance, and other considerations because these institutional factors affect whether costs (and benefits) are in fact external, or whether they are already somehow internalized within the electric power market. Although this report considers such factors to some extent, much analysis yet remains to assess the extent to which estimated costs are indeed external. This report is one of a series of reports on estimating the externalities of fuel cycles. The other reports are on the coal, oil, biomass, hydro, and nuclear fuel cycles, and on general methodology.

Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.

1998-01-01T23:59:59.000Z

383

Novel Techniques to Estimate and Extend Transformer Life  

Science Conference Proceedings (OSTI)

This work is a continuation of Electric Power Research Institute (EPRI) report 1017736, Use of Paper Degradation Products for Diagnostics and Condition Assessment: Phase 2Identification of Marker Compounds of Insulating Paper. In this phase, laboratory experiments were performed to identify non-furanic marker compounds as diagnostic indicators and for monitoring the degradation of mixed paper systems (kraft and thermally upgraded paper [TUP]). Such knowledge is necessary to estimate the condition of the ...

2010-12-22T23:59:59.000Z

384

Shale Gas Production: Potential versus Actual GHG Emissions  

E-Print Network (OSTI)

Shale Gas Production: Potential versus Actual GHG Emissions Francis O'Sullivan and Sergey Paltsev://globalchange.mit.edu/ Printed on recycled paper #12;1 Shale Gas Production: Potential versus Actual GHG Emissions Francis O'Sullivan* and Sergey Paltsev* Abstract Estimates of greenhouse gas (GHG) emissions from shale gas production and use

385

The economics of biomass production in the United States  

DOE Green Energy (OSTI)

Biomass crops (e.g. poplar, willow, switchgrass) could become important feedstocks for power, liquid fuel, and chemical production. This paper presents estimates of the potential production of biomass in the US under a range of assumptions. Estimates of potential biomass crop yields and production costs from the Department of Energy`s (DOE) Oak Ridge National Laboratories (ORNL) are combined with measures of land rents from USDA`s Conservation Reserve Program (CRP), to estimate a competitive supply of biomass wood and grass crops. Estimates are made for one potential biomass use--electric power production--where future costs of electricity production from competing fossil fuels set the demand price. The paper outlines the methodology used and limitations of the analysis.

Graham, R.L.; Walsh, M.E. [Oak Ridge National Lab., TN (United States); Lichtenberg, E. [Univ. of Maryland, College Park, MD (United States); Roningen, V.O. [ERS-USDA, Washington, DC (United States); Shapouri, H. [OENU-ERS-USDA, Washington, DC (United States)

1995-12-31T23:59:59.000Z

386

Low-Cost Hydrogen-from-Ethanol: A Distributed Production System...  

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

Calculate: Power Law Cost Scaling Actual Single Unit Capital Cost Estimate 500 unityear production costs with progress ratios Estimate Cost Using Power Law Cost Scaling 7 The H 2...

387

Production Services  

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

Welcome Welcome The Production Services site contains links to each of the division's groups with descriptions of their services. Our goal is to update this website frequently to reflect ongoing service upgrades which, by planning and design, are added so that we can continue to meet your needs in a constantly changing work environment. Note: The Graphic Design Studio has been relocated to the second floor in the north wing of the Research Support Building 400. The telephone number remains the same, X7288. If you have any questions, please call supervisor, Rick Backofen, X6183. Photography Photography services are available at no charge to BNL and Guest users. See a list of the complete range of photography services available. Video Video services are available at no charge to BNL and Guest users. See a list of the complete range of video services available.

388

Coalbed Methane Reserves Acquisitions  

Gasoline and Diesel Fuel Update (EIA)

24 226 1,710 2009-2011 24 226 1,710 2009-2011 Federal Offshore U.S. 0 0 0 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 0 0 0 2009-2011 Texas 0 0 0 2009-2011 Alaska 0 0 0 2009-2011 Lower 48 States 24 226 1,710 2009-2011 Alabama 0 151 219 2009-2011 Arkansas 22 0 0 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 0 0 1,021 2009-2011 Florida 0 0 0 2009-2011 Kansas 0 0 0 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 0 0 0 2009-2011 North 0 0 0 2009-2011 South Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 0 0 0 2009-2011 Mississippi 0 0 0 2009-2011 Montana

389

Coalbed Methane Reserves Revision Decreases  

Gasoline and Diesel Fuel Update (EIA)

2,486 2,914 1,668 2009-2011 2,486 2,914 1,668 2009-2011 Federal Offshore U.S. 0 0 0 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 0 0 0 2009-2011 Texas 0 0 0 2009-2011 Alaska 0 0 0 2009-2011 Lower 48 States 2,486 2,914 1,668 2009-2011 Alabama 316 51 86 2009-2011 Arkansas 0 1 3 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 566 1,557 367 2009-2011 Florida 0 0 0 2009-2011 Kansas 107 0 14 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 0 0 0 2009-2011 North 0 0 0 2009-2011 South Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 0 0 0 2009-2011 Mississippi 0 0 0 2009-2011

390

Coalbed Methane Reserves Adjustments  

Gasoline and Diesel Fuel Update (EIA)

-14 784 -15 2009-2011 -14 784 -15 2009-2011 Federal Offshore U.S. 0 0 0 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 0 0 0 2009-2011 Texas 0 0 0 2009-2011 Alaska 0 0 0 2009-2011 Lower 48 States -14 784 -15 2009-2011 Alabama 0 61 -45 2009-2011 Arkansas 0 1 0 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 0 106 73 2009-2011 Florida 0 0 0 2009-2011 Kansas -3 -22 -6 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 0 0 0 2009-2011 North 0 0 0 2009-2011 South Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 0 0 0 2009-2011 Mississippi 0 0 0 2009-2011 Montana

391

Crude Oil plus Lease Condensate Reserves Acquisitions  

Gasoline and Diesel Fuel Update (EIA)

344 1,470 1,561 2009-2011 344 1,470 1,561 2009-2011 Federal Offshore U.S. 16 108 56 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 14 102 52 2009-2011 Texas 2 6 4 2009-2011 Alaska 0 0 79 2009-2011 Lower 48 States 344 1,470 1,482 2009-2011 Alabama 0 0 20 2009-2011 Arkansas 0 0 3 2009-2011 California 20 156 40 2009-2011 Coastal Region Onshore 2 154 0 2009-2011 Los Angeles Basin Onshore 0 1 9 2009-2011 San Joaquin Basin Onshore 18 1 16 2009-2011 State Offshore 0 0 15 2009-2011 Colorado 2 38 4 2009-2011 Florida 0 0 0 2009-2011 Illinois 0 9 0 2009-2011 Indiana 0 2 0 2009-2011 Kansas 2 8 19 2009-2011 Kentucky 0 6 4 2009-2011 Louisiana 11 52 53 2009-2011 North 1 12 31 2009-2011 South Onshore 7 26 17 2009-2011 State Offshore 3 14 5 2009-2011

392

Crude Oil plus Lease Condensate Reserves Sales  

Gasoline and Diesel Fuel Update (EIA)

249 803 1,024 2009-2011 249 803 1,024 2009-2011 Federal Offshore U.S. 20 56 42 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 20 54 42 2009-2011 Texas 0 2 0 2009-2011 Alaska 7 0 17 2009-2011 Lower 48 States 242 803 1,007 2009-2011 Alabama 0 3 11 2009-2011 Arkansas 3 3 28 2009-2011 California 3 1 7 2009-2011 Coastal Region Onshore 0 1 0 2009-2011 Los Angeles Basin Onshore 0 0 2 2009-2011 San Joaquin Basin Onshore 3 0 0 2009-2011 State Offshore 0 0 5 2009-2011 Colorado 17 3 19 2009-2011 Florida 0 0 0 2009-2011 Illinois 0 15 0 2009-2011 Indiana 0 2 0 2009-2011 Kansas 2 6 6 2009-2011 Kentucky 0 0 5 2009-2011 Louisiana 9 23 63 2009-2011 North 2 5 28 2009-2011 South Onshore 7 7 34 2009-2011 State Offshore 0 11 1 2009-2011

393

Crude Oil plus Lease Condensate Reserves Acquisitions  

Gasoline and Diesel Fuel Update (EIA)

344 1,470 1,561 2009-2011 344 1,470 1,561 2009-2011 Federal Offshore U.S. 16 108 56 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 14 102 52 2009-2011 Texas 2 6 4 2009-2011 Alaska 0 0 79 2009-2011 Lower 48 States 344 1,470 1,482 2009-2011 Alabama 0 0 20 2009-2011 Arkansas 0 0 3 2009-2011 California 20 156 40 2009-2011 Coastal Region Onshore 2 154 0 2009-2011 Los Angeles Basin Onshore 0 1 9 2009-2011 San Joaquin Basin Onshore 18 1 16 2009-2011 State Offshore 0 0 15 2009-2011 Colorado 2 38 4 2009-2011 Florida 0 0 0 2009-2011 Illinois 0 9 0 2009-2011 Indiana 0 2 0 2009-2011 Kansas 2 8 19 2009-2011 Kentucky 0 6 4 2009-2011 Louisiana 11 52 53 2009-2011 North 1 12 31 2009-2011 South Onshore 7 26 17 2009-2011 State Offshore 3 14 5 2009-2011

394

Coalbed Methane Reserves Revision Increases  

Gasoline and Diesel Fuel Update (EIA)

1,563 2,589 2,071 2009-2011 1,563 2,589 2,071 2009-2011 Federal Offshore U.S. 0 0 0 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 0 0 0 2009-2011 Texas 0 0 0 2009-2011 Alaska 0 0 0 2009-2011 Lower 48 States 1,563 2,589 2,071 2009-2011 Alabama 17 134 23 2009-2011 Arkansas 3 9 0 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 126 937 698 2009-2011 Florida 0 0 0 2009-2011 Kansas 8 157 24 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 0 0 0 2009-2011 North 0 0 0 2009-2011 South Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 0 0 0 2009-2011 Mississippi 0 0 0 2009-2011

395

Coalbed Methane Reserves Acquisitions  

Gasoline and Diesel Fuel Update (EIA)

24 226 1,710 2009-2011 24 226 1,710 2009-2011 Federal Offshore U.S. 0 0 0 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 0 0 0 2009-2011 Texas 0 0 0 2009-2011 Alaska 0 0 0 2009-2011 Lower 48 States 24 226 1,710 2009-2011 Alabama 0 151 219 2009-2011 Arkansas 22 0 0 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 0 0 1,021 2009-2011 Florida 0 0 0 2009-2011 Kansas 0 0 0 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 0 0 0 2009-2011 North 0 0 0 2009-2011 South Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 0 0 0 2009-2011 Mississippi 0 0 0 2009-2011 Montana

396

Coalbed Methane Reserves Sales  

Gasoline and Diesel Fuel Update (EIA)

08 366 1,775 2009-2011 08 366 1,775 2009-2011 Federal Offshore U.S. 0 0 0 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 0 0 0 2009-2011 Texas 0 0 0 2009-2011 Alaska 0 0 0 2009-2011 Lower 48 States 208 366 1,775 2009-2011 Alabama 2 266 104 2009-2011 Arkansas 31 0 0 2009-2011 California 0 0 0 2009-2011 Coastal Region Onshore 0 0 0 2009-2011 Los Angeles Basin Onshore 0 0 0 2009-2011 San Joaquin Basin Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Colorado 0 0 1,034 2009-2011 Florida 0 0 0 2009-2011 Kansas 0 0 0 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 8 0 0 2009-2011 North 8 0 0 2009-2011 South Onshore 0 0 0 2009-2011 State Offshore 0 0 0 2009-2011 Michigan 0 0 0 2009-2011 Mississippi 0 0 0 2009-2011 Montana

397

2012 Domestic Uranium Production Report  

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

5 5 2012 Domestic Uranium Production Report Release Date: June 6, 2013 Next Release Date: May 2014 Production / Mining Method 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 (estimated contained thousand pounds U 3 O 8 ) W W W W W W W W W W (estimated contained thousand pounds U 3 O 8 ) 0 0 0 0 0 0 0 0 0 0 (thousand pounds U 3 O 8 ) W W 2,681 4,259 W W W W W W (thousand pounds U 3 O 8 ) W W W W W W W W W W (thousand pounds U 3 O 8 ) E2,200 2,452 3,045 4,692 4,541 3,879 4,145 4,237 4,114 4,335 Underground 1 2 4 5 6 10 14 4 5 6 Open Pit 0 0 0 0 0 0 0 0 0 0 In-Situ Leaching 2 3 4 5 5 6 4 4 5 5 Other Sources 1 1 1 2 1 1 1 2 1 1 1 Total Mines and Sources 4 6 10 11 12 17 20 9 11 12 Other 1 Number of Operating Mines Table 2. U.S. uranium mine production and number of mines and sources, 2003-2012 Underground Open Pit In-Situ Leaching Source: U.S. Energy Information Administration: Form EIA-851A, "Domestic Uranium Production Report" (2003-2012).

398

EIA Report Estimates Growth of U.S. Energy Economy Through 2040 |  

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

EIA Report Estimates Growth of U.S. Energy Economy Through 2040 EIA Report Estimates Growth of U.S. Energy Economy Through 2040 EIA Report Estimates Growth of U.S. Energy Economy Through 2040 December 5, 2012 - 3:43pm Addthis EIA Report Estimates Growth of U.S. Energy Economy Through 2040 Matthew Loveless Matthew Loveless Data Integration Specialist, Office of Public Affairs What are the key facts? Crude oil, natural gas and renewable energy production are expected to grow rapidly. Net energy imports are expected to decline, as production grows faster than consumption. Editor's Note: This article was originally posted as part of the Energy Information Administration's (EIA) Today in Energy series. EIA has just issued its Annual Energy Outlook 2013 (AEO2013) Reference case, which highlights a growth in total U.S. energy production that

399

Method for Developing Descriptions of Hard-to-Price Products: Results of the Telecommunications Product Study  

Science Conference Proceedings (OSTI)

This report presents the results of a study to test a new method for developing descriptions of hard-to-price products. The Bureau of Labor Statistics (BLS) is responsible for collecting data to estimate price indices such as the Consumers Price Index (BLS) is responsible for collecting data to estimate price indices such as the Consumers Price Index (CPI). BLS accomplishes this task by sending field staff to places of business to price actual products. The field staff are given product checklists to help them determine whether products found today are comparable to products priced the previous month. Prices for non-comparable products are not included in the current month's price index calculations. A serious problem facing BLS is developing product checklists for dynamic product areas, new industries, and the service sector. It is difficult to keep checklists up-to-date and quite often simply to develop checklists for service industry products. Some people estimates that upwards of 50 % of US economic activity is not accounted for in the CPI

Conrad, F.; Tonn, B.

1999-05-01T23:59:59.000Z

400

Upper Estimates for Banach Spaces  

E-Print Network (OSTI)

We study the relationship of dominance for sequences and trees in Banach spaces. In the context of sequences, we prove that domination of weakly null sequences is a uniform property. More precisely, if $(v_i)$ is a normalized basic sequence and $X$ is a Banach space such that every normalized weakly null sequence in $X$ has a subsequence that is dominated by $(v_i)$, then there exists a uniform constant $C\\geq1$ such that every normalized weakly null sequence in $X$ has a subsequence that is $C$-dominated by $(v_i)$. We prove as well that if $V=(v_i)_{i=1}^\\infty$ satisfies some general conditions, then a Banach space $X$ with separable dual has subsequential $V$ upper tree estimates if and only if it embeds into a Banach space with a shrinking FDD which satisfies subsequential $V$ upper block estimates. We apply this theorem to Tsirelson spaces to prove that for all countable ordinals $\\alpha$ there exists a Banach space $X$ with Szlenk index at most $\\omega^{\\alpha \\omega +1}$ which is universal for all Banach spaces with Szlenk index at most $\\omega^{\\alpha\\omega}$.

Freeman, Daniel B.

2009-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Interruption Cost Estimate Calculator | Open Energy Information  

Open Energy Info (EERE)

Interruption Cost Estimate Calculator Interruption Cost Estimate Calculator Jump to: navigation, search Tool Summary Name: Interruption Cost Estimate (ICE) Calculator Agency/Company /Organization: Freeman, Sullivan & Co. Sector: Energy Focus Area: Grid Assessment and Integration, Energy Efficiency Resource Type: Online calculator, Software/modeling tools User Interface: Website Website: icecalculator.com/ Country: United States Cost: Free Northern America References: [1] Logo: Interruption Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are interested in estimating interruption costs and/or the benefits associated with reliability improvements. About The Interruption Cost Estimate (ICE) Calculator is an electric reliability

402

Economical Production of Pu-238  

SciTech Connect

All space exploration missions traveling beyond Jupiter must use radioisotopic power sources for electrical power. The best isotope to power these sources is plutonium-238. The US supply of Pu-238 is almost exhausted and will be gone within the next decade. The Department of Energy has initiated a production program with a $10M allocation from NASA but the cost is estimated at over $100 M to get to production levels. The Center for Space Nuclear Research has conceived of a potentially better process to produce Pu-238 earlier and for significantly less cost. The new process will also produce dramatically less waste. Potentially, the front end costs could be provided by private industry such that the government only had to pay for the product produced. Under a NASA Phase I NIAC grant, the CSNR has evaluated the feasibility of using a low power, commercially available nuclear reactor to produce at least 1.5 kg of Pu-238 per year. The impact on the neutronics of the reactor have been assessed, the amount of Neptunium target material estimated, and the production rates calculated. In addition, the size of the post-irradiation processing facility has been established. In addition, a new method for fabricating the Pu-238 product into the form used for power sources has been identified to reduce the cost of the final product. In short, the concept appears to be viable, can produce the amount of Pu-238 needed to support the NASA missions, can be available within a few years, and will cost significantly less than the current DOE program.

Steven D. Howe; Douglas Crawford; Jorge Navarro; Terry Ring

2013-02-01T23:59:59.000Z

403

Rainfall-Rate Estimation Using Gaussian Mixture Parameter Estimator: Training and Validation  

Science Conference Proceedings (OSTI)

This study develops a Gaussian mixture rainfall-rate estimator (GMRE) for polarimetric radar-based rainfall-rate estimation, following a general framework based on the Gaussian mixture model and Bayes least squares estimation for weather radar–...

Zhengzheng Li; Yan Zhang; Scott E. Giangrande

2012-05-01T23:59:59.000Z

404

Estimation of Convective Rainfall from Lightning Observations  

Science Conference Proceedings (OSTI)

The objective of this study is to develop a technique to use lightning observations for estimating convective rainfall. A framework for rainfall estimation is developed in which key elements are 1) the rainfall–lightning ratio, that is, the ...

Alberto Tapia; James A. Smith; Michael Dixon

1998-11-01T23:59:59.000Z

405

Estimates of Large Spectrum Width from Autocovariances  

Science Conference Proceedings (OSTI)

The authors demonstrate that there are maximum measurable (saturation) spectrum widths for standard autocovariance techniques, the 0,1-lag autocovariance estimator and the 1,2-lag estimator. The maximal mean measurable spectrum widths from the ...

Valery M. Melnikov; Dusan S. Zrni?

2004-06-01T23:59:59.000Z

406

Estimating UV Index Climatology over Canada  

Science Conference Proceedings (OSTI)

Hourly UV index values at 45 sites in Canada were estimated using a statistical relationship between UV irradiance and global solar radiation, total ozone, and dewpoint temperature. The estimation method also takes into account the enhancement of ...

V. E. Fioletov; J. B. Kerr; L. J. B. McArthur; D. I. Wardle; T. W. Mathews

2003-03-01T23:59:59.000Z

407

Prediction accuracy of link-quality estimators  

Science Conference Proceedings (OSTI)

The accuracy of link-quality estimators (LQE) is missioncritical in many application scenarios in wireless sensor networks (WSN), since the link-quality metric is used for routing decisions or neighborhood formation. Link-quality estimation must offer ...

Christian Renner; Sebastian Ernst; Christoph Weyer; Volker Turau

2011-02-01T23:59:59.000Z

408

Estimated Cost Description Determination Date:  

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

Title, Location Title, Location Estimated Cost Description Determination Date: 2010 LCLS Undulator 2 is envisioned to be a 0.2 - 2keV FEL x-ray source, capable of delivering x-rays to End Station A (ESA), located in the existing Research Yard at SLAC. It will also be configurable as a non- FEL hard x-ray source capable of delivering a chirped x-ray pulse for single-shot broad-spectrum measurements. The project would entail reconstruction of the electron beam transport to End Station A, construction and installation of a new undulator in the tunnel upstream of ESA and beam dump, and construction and installation of x-ray transport, optics, and diagnostics in ESA. It also includes the construction of an annex to End Station A , providing hutches for experiment stations.

409

Software Cost Estimation and Control  

E-Print Network (OSTI)

this report, provided that the source of such material is fully acknowledged. Additional copies are available free of charge from: Publication Office Institute for Information Technology National Research Council of Canada Ottawa, Ontario, Canada K1A 0R6 Copyright 1994 par Conseil national de recherches du Canada Il est permis de citer de courts extraits et de reproduire des figures ou tableaux du présent rapport, à condition d'en identifier clairement la source. Des exemplaires supplémentaires peuvent être obtenus gratuitement à l'addresse suivante: Bureau des publications Institut de technologie de l'information Conseil national de recherches du Canada Ottawa (Ontario) Canada K1A 0R6 Software Cost Estimation 1 Table of Contents

M. R. Vigder; A.W. Kark

1994-01-01T23:59:59.000Z

410

2007 Estimated International Energy Flows  

Science Conference Proceedings (OSTI)

An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.

Smith, C A; Belles, R D; Simon, A J

2011-03-10T23:59:59.000Z

411

Research opportunities to improve DSM impact estimates  

Science Conference Proceedings (OSTI)

This report was commissioned by the California Institute for Energy Efficiency (CIEE) as part of its research mission to advance the energy efficiency and productivity of all end-use sectors in California. Our specific goal in this effort has been to identify viable research and development (R D) opportunities that can improve capabilities to determine the energy-use and demand reductions achieved through demand-side management (DSM) programs and measures. We surveyed numerous practitioners in California and elsewhere to identify the major obstacles to effective impact evaluation, drawing on their collective experience. As a separate effort, we have also profiled the status of regulatory practices in leading states with respect to DSM impact evaluation. We have synthesized this information, adding our own perspective and experience to those of our survey-respondent colleagues, to characterize today's state of the art in impact-evaluation practices. This scoping study takes a comprehensive look at the problems and issues involved in DSM impact estimates at the customer-facility or site level. The major portion of our study investigates three broad topic areas of interest to CIEE: Data analysis issues, field-monitoring issues, issues in evaluating DSM measures. Across these three topic areas, we have identified 22 potential R D opportunities, to which we have assigned priority levels. These R D opportunities are listed by topic area and priority.

Misuriello, H.; Hopkins, M.E.F. (Fleming Group, Washington, DC (United States))

1992-03-01T23:59:59.000Z

412

Research opportunities to improve DSM impact estimates  

Science Conference Proceedings (OSTI)

This report was commissioned by the California Institute for Energy Efficiency (CIEE) as part of its research mission to advance the energy efficiency and productivity of all end-use sectors in California. Our specific goal in this effort has been to identify viable research and development (R&D) opportunities that can improve capabilities to determine the energy-use and demand reductions achieved through demand-side management (DSM) programs and measures. We surveyed numerous practitioners in California and elsewhere to identify the major obstacles to effective impact evaluation, drawing on their collective experience. As a separate effort, we have also profiled the status of regulatory practices in leading states with respect to DSM impact evaluation. We have synthesized this information, adding our own perspective and experience to those of our survey-respondent colleagues, to characterize today`s state of the art in impact-evaluation practices. This scoping study takes a comprehensive look at the problems and issues involved in DSM impact estimates at the customer-facility or site level. The major portion of our study investigates three broad topic areas of interest to CIEE: Data analysis issues, field-monitoring issues, issues in evaluating DSM measures. Across these three topic areas, we have identified 22 potential R&D opportunities, to which we have assigned priority levels. These R&D opportunities are listed by topic area and priority.

Misuriello, H.; Hopkins, M.E.F. [Fleming Group, Washington, DC (United States)

1992-03-01T23:59:59.000Z

413

Quantifying the Uncertainty in Estimates of World Conventional Oil Resources  

E-Print Network (OSTI)

Since Hubbert proposed the "peak oil" concept to forecast ultimate recovery of crude oil for the U.S. and the world, there have been countless debates over the timing of peak world conventional oil production rate and ultimate recovery. From review of the literature, forecasts were grouped into those that are like Hubbert's with an imminent peak, and those that do not predict an imminent peak. Both groups have bases for their positions. Viewpoints from the two groups are polarized and the rhetoric is pointed and sometimes personal. A big reason for the large divide between the two groups is the failure of both to acknowledge the significant uncertainty in their estimates. Although some authors attempt to quantify uncertainty, most use deterministic methods and present single values, with no ranges. This research proposes that those that do attempt to quantify uncertainty underestimate it significantly. The objective of this thesis is to rigorously quantify the uncertainty in estimates of ultimate world conventional oil production and time to peak rate. Two different methodologies are used. The first is a regression technique based on historical production data using Hubbert's model and the other methodology uses mathematical models. However, I conduct the analysis probabilistically, considering errors in both the data and the model, which results in likelihood probability distributions for world conventional oil production and time to peak rate. In the second method, I use a multiple-experts analysis to combine estimates from the multitude of papers presented in the literature, yielding an overall distribution of estimated world conventional oil production. Giving due consideration to uncertainty, Hubbert-type mathematical modeling results in large uncertainty ranges that encompass both groups of forecasts (imminent peak and no imminent peak). These ranges are consistent with those from the multiple-experts analysis. In short, the industry does not have enough information at this time to say with any reliability what the ultimate world conventional oil production will be. It could peak soon, somewhere in the distant future, or somewhere in between. It would be wise to consider all of these possible outcomes in planning and making decisions regarding capital investment and formulation of energy policy.

Tien, Chih-Ming

2009-12-01T23:59:59.000Z

414

ARM KAZR-ARSCL Value Added Product  

DOE Data Explorer (OSTI)

The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments.

Michael Jensen

415

ARM KAZR-ARSCL Value Added Product  

SciTech Connect

The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments.

Michael Jensen

2012-09-28T23:59:59.000Z

416

Annual Coded Wire Program: Oregon Missing Production Groups: 1992 Annual Report.  

DOE Green Energy (OSTI)

The goal of this project is to develop the ability to estimate hatchery production survival values and evaluate effectiveness of Oregon hatcheries.

Garrison, Robert L.; Isaac, Dennis L.; Lewis, Mark A.; Murry, William M.

1992-12-01T23:59:59.000Z

417

Texas--RRC District 8A Coalbed Methane Production (Billion Cubic...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 8A Coalbed Methane Proved Reserves, Reserves...

418

Texas--RRC District 7B Coalbed Methane Production (Billion Cubic...  

Annual Energy Outlook 2012 (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC District 7B Coalbed Methane Proved Reserves, Reserves...

419

Texas--RRC District 7C Coalbed Methane Production (Billion Cubic...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane Estimated Production TX, RRC Distict 7C Coalbed Methane Proved Reserves, Reserves...

420

Annual Coded Wire Tag Program; Oregon Missing Production Groups, 1993 Annual Report.  

DOE Green Energy (OSTI)

The goal of this project is to develop the ability to estimate hatchery production survival values and evaluate effectiveness of Oregon hatcheries.

Garrison, Robert L.; Lewis, Mark A.; Murray, William M.

1994-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Stone Tool Production  

E-Print Network (OSTI)

by the author. ) Stone Tool Production, Hikade, UEE 2010Short Citation: Hikade 2010, Stone Tool Production. UEE.Thomas, 2010, Stone Tool Production. In Willeke Wendrich (

Hikade, Thomas

2010-01-01T23:59:59.000Z

422

FCT Hydrogen Production: Contacts  

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

Contacts to someone by E-mail Share FCT Hydrogen Production: Contacts on Facebook Tweet about FCT Hydrogen Production: Contacts on Twitter Bookmark FCT Hydrogen Production:...

423

Estimating Flexoelectric Properties of Piezoelectric Crystals  

Science Conference Proceedings (OSTI)

Energy Harvesting Utilized Resonance Phenomena of Piezoelectric Unimorph · Estimating Flexoelectric Properties of Piezoelectric Crystals: Utilization of a ...

424

Nonlinear spectral density estimation: thresholding the correlogram  

E-Print Network (OSTI)

in a nonlinear way. The rate of convergence of the new estimators is quantified, and practical issues estimation of the spectral density function; examples include astronomy, economics, electrical engineering Einstein (1914); see Brillinger (1993) for a historical perspective. The prevalent spectral estimation

Politis, Dimitris N.

425

Skew estimation of document images using bagging  

Science Conference Proceedings (OSTI)

This paper proposes a general-purpose method for estimating the skew angles of document images. Rather than to derive a skew angle merely from text lines, the proposed method exploits various types of visual cues of image skew available in local image ... Keywords: bagging estimator, document image analysis, floating cascade, radon transform, skew estimation

Gaofeng Meng; Chunhong Pan; Nanning Zheng; Chen Sun

2010-07-01T23:59:59.000Z

426

Crude Oil plus Lease Condensate Reserves Extensions  

Gasoline and Diesel Fuel Update (EIA)

,305 1,766 3,107 2009-2011 ,305 1,766 3,107 2009-2011 Federal Offshore U.S. 159 77 29 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 158 61 29 2009-2011 Texas 1 16 0 2009-2011 Alaska 25 30 40 2009-2011 Lower 48 States 1,280 1,736 3,067 2009-2011 Alabama 0 0 0 2009-2011 Arkansas 0 6 0 2009-2011 California 30 24 37 2009-2011 Coastal Region Onshore 0 1 1 2009-2011 Los Angeles Basin Onshore 1 1 6 2009-2011 San Joaquin Basin Onshore 22 13 18 2009-2011 State Offshore 7 9 12 2009-2011 Colorado 37 80 96 2009-2011 Florida 0 0 0 2009-2011 Illinois 3 2 0 2009-2011 Indiana 0 0 0 2009-2011 Kansas 2 5 23 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 26 28 21 2009-2011 North 1 2 0 2009-2011 South Onshore 24 25 17 2009-2011 State Offshore

427

Crude Oil plus Lease Condensate Reserves Extensions  

Gasoline and Diesel Fuel Update (EIA)

,305 1,766 3,107 2009-2011 ,305 1,766 3,107 2009-2011 Federal Offshore U.S. 159 77 29 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 158 61 29 2009-2011 Texas 1 16 0 2009-2011 Alaska 25 30 40 2009-2011 Lower 48 States 1,280 1,736 3,067 2009-2011 Alabama 0 0 0 2009-2011 Arkansas 0 6 0 2009-2011 California 30 24 37 2009-2011 Coastal Region Onshore 0 1 1 2009-2011 Los Angeles Basin Onshore 1 1 6 2009-2011 San Joaquin Basin Onshore 22 13 18 2009-2011 State Offshore 7 9 12 2009-2011 Colorado 37 80 96 2009-2011 Florida 0 0 0 2009-2011 Illinois 3 2 0 2009-2011 Indiana 0 0 0 2009-2011 Kansas 2 5 23 2009-2011 Kentucky 0 0 0 2009-2011 Louisiana 26 28 21 2009-2011 North 1 2 0 2009-2011 South Onshore 24 25 17 2009-2011 State Offshore

428

Crude Oil plus Lease Condensate Proved Reserves  

Gasoline and Diesel Fuel Update (EIA)

46 188 207 2009-2011 46 188 207 2009-2011 Federal Offshore U.S. 0 -6 -1 2009-2011 Pacific (California) -1 -2 1 2009-2011 Louisiana & Alabama 2 -3 -2 2009-2011 Texas -1 -1 0 2009-2011 Alaska 0 0 1 2009-2011 Lower 48 States 46 188 206 2009-2011 Alabama 1 12 2 2009-2011 Arkansas 2 3 -2 2009-2011 California -17 14 32 2009-2011 Coastal Region Onshore 1 0 -3 2009-2011 Los Angeles Basin Onshore 10 15 19 2009-2011 San Joaquin Basin Onshore -30 1 16 2009-2011 State Offshore 2 -2 0 2009-2011 Colorado -9 25 -1 2009-2011 Florida -1 2 -2 2009-2011 Illinois 3 10 -10 2009-2011 Indiana -7 1 0 2009-2011 Kansas 20 61 22 2009-2011 Kentucky 4 -11 1 2009-2011 Louisiana -1 7 -8 2009-2011 North -4 -7 1 2009-2011 South Onshore 4 13 -6 2009-2011 State Offshore

429

Crude Oil plus Lease Condensate Revision Decreases, Wet After Lease  

Gasoline and Diesel Fuel Update (EIA)

1,262 1,957 3,682 2009-2011 1,262 1,957 3,682 2009-2011 Federal Offshore U.S. 208 214 1,455 2009-2011 Pacific (California) 17 4 15 2009-2011 Louisiana & Alabama 174 183 1,354 2009-2011 Texas 17 27 86 2009-2011 Alaska 152 76 129 2009-2011 Lower 48 States 1,110 1,881 3,553 2009-2011 Alabama 2 5 1 2009-2011 Arkansas 0 0 0 2009-2011 California 119 167 230 2009-2011 Coastal Region Onshore 4 39 10 2009-2011 Los Angeles Basin Onshore 47 2 2 2009-2011 San Joaquin Basin Onshore 68 125 217 2009-2011 State Offshore 0 1 1 2009-2011 Colorado 27 34 56 2009-2011 Florida 0 0 2 2009-2011 Illinois 1 4 2 2009-2011 Indiana 0 0 1 2009-2011 Kansas 21 47 23 2009-2011 Kentucky 3 3 2 2009-2011 Louisiana 69 93 43 2009-2011 North 6 11 4 2009-2011 South Onshore 57 73 34 2009-2011

430

Coalbed Methane New Reservoir Discoveries in Old Fields  

Annual Energy Outlook 2012 (EIA)

91 0 13 2009-2011 Federal Offshore U.S. 0 0 0 2009-2011 Pacific (California) 0 0 0 2009-2011 Louisiana & Alabama 0 0 0 2009-2011 Texas 0 0 0 2009-2011 Alaska 0 0 0 2009-2011 Lower...

431

Federal Offshore California Crude Oil plus Lease Condensate Proved...  

Annual Energy Outlook 2012 (EIA)

50 363 352 2009-2011 Adjustments -1 -2 1 2009-2011 Revision Increases 33 38 25 2009-2011 Revision Decreases 17 4 15 2009-2011 Sales 0 0 0 2009-2011 Acquisitions 0 0 0 2009-2011...

432

Ohio Crude Oil plus Lease Condensate Proved Reserves  

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

50 54 55 2009-2011 Adjustments 8 22 3 2009-2011 Revision Increases 6 4 1 2009-2011 Revision Decreases 0 2 1 2009-2011 Sales 5 37 0 2009-2011 Acquisitions 3 22 0 2009-2011...

433

Crude Oil plus Lease Condensate New Reservoir Discoveries in...  

Gasoline and Diesel Fuel Update (EIA)

North 0 0 0 2009-2011 South Onshore 3 5 2 2009-2011 State Offshore 0 1 0 2009-2011 Michigan 5 0 1 2009-2011 Mississippi 0 0 0 2009-2011 Montana 0 2 1 2009-2011 Nebraska 0 0 0...

434

Michigan Crude Oil plus Lease Condensate Proved Reserves  

Annual Energy Outlook 2012 (EIA)

52 55 59 2009-2011 Adjustments -13 10 0 2009-2011 Revision Increases 21 4 5 2009-2011 Revision Decreases 17 5 4 2009-2011 Sales 0 0 0 2009-2011 Acquisitions 0 0 0 2009-2011...

435

Arkansas Crude Oil plus Lease Condensate Proved Reserves  

Annual Energy Outlook 2012 (EIA)

9 42 40 2009-2011 Adjustments 2 3 -2 2009-2011 Revision Increases 5 12 31 2009-2011 Revision Decreases 0 0 0 2009-2011 Sales 3 3 28 2009-2011 Acquisitions 0 0 3 2009-2011...

436

Kansas Crude Oil plus Lease Condensate Proved Reserves  

Annual Energy Outlook 2012 (EIA)

64 302 350 2009-2011 Adjustments 20 61 22 2009-2011 Revision Increases 49 52 47 2009-2011 Revision Decreases 21 47 23 2009-2011 Sales 2 6 6 2009-2011 Acquisitions 2 8 19 2009-2011...

437

Illinois Crude Oil plus Lease Condensate Proved Reserves  

Annual Energy Outlook 2012 (EIA)

66 64 54 2009-2011 Adjustments 3 10 -10 2009-2011 Revision Increases 12 0 6 2009-2011 Revision Decreases 1 4 2 2009-2011 Sales 0 15 0 2009-2011 Acquisitions 0 9 0 2009-2011...

438

Mississippi Crude Oil plus Lease Condensate Proved Reserves  

Gasoline and Diesel Fuel Update (EIA)

252 254 245 2009-2011 Adjustments -1 25 12 2009-2011 Revision Increases 30 17 14 2009-2011 Revision Decreases 8 9 13 2009-2011 Sales 4 8 0 2009-2011 Acquisitions 0 1 1 2009-2011...

439

Florida Crude Oil plus Lease Condensate Proved Reserves  

Gasoline and Diesel Fuel Update (EIA)

9 19 22 2009-2011 Adjustments -1 2 -2 2009-2011 Revision Increases 8 10 9 2009-2011 Revision Decreases 0 0 2 2009-2011 Sales 0 0 0 2009-2011 Acquisitions 0 0 0 2009-2011 Extensions...

440

Miscellaneous Crude Oil plus Lease Condensate Proved Reserves  

Gasoline and Diesel Fuel Update (EIA)

22 35 42 2009-2011 Adjustments -1 13 2 2009-2011 Revision Increases 5 3 3 2009-2011 Revision Decreases 2 1 2 2009-2011 Sales 0 9 0 2009-2011 Acquisitions 0 5 0 2009-2011 Extensions...

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Indiana Crude Oil plus Lease Condensate Proved Reserves  

Gasoline and Diesel Fuel Update (EIA)

8 8 7 2009-2011 Adjustments -7 1 0 2009-2011 Revision Increases 1 0 1 2009-2011 Revision Decreases 0 0 1 2009-2011 Sales 0 2 0 2009-2011 Acquisitions 0 2 0 2009-2011 Extensions 0 0...

442

Alabama Crude Oil plus Lease Condensate Proved Reserves  

Gasoline and Diesel Fuel Update (EIA)

53 60 65 2009-2011 Adjustments 1 12 2 2009-2011 Revision Increases 9 9 2 2009-2011 Revision Decreases 2 5 1 2009-2011 Sales 0 3 11 2009-2011 Acquisitions 0 0 20 2009-2011...

443

Kentucky Crude Oil plus Lease Condensate Proved Reserves  

Gasoline and Diesel Fuel Update (EIA)

4 16 22 2009-2011 Adjustments 4 -11 1 2009-2011 Revision Increases 4 1 9 2009-2011 Revision Decreases 3 3 2 2009-2011 Sales 0 0 5 2009-2011 Acquisitions 0 6 4 2009-2011 Extensions...

444

Weak Interaction Neutron Production Rates in Fully Ionized Plasmas  

E-Print Network (OSTI)

Employing the weak interaction reaction wherein a heavy electron is captured by a proton to produce a neutron and a neutrino, the neutron production rate for neutral hydrogen gases and for fully ionized plasmas is computed. Using the Coulomb atomic bound state wave functions of a neutral hydrogen gas, our production rate results are in agreement with recent estimates by Maiani {\\it et al}. Using Coulomb scattering state wave functions for the fully ionized plasma, we find a substantially enhanced neutron production rate. The scattering wave function should replace the bound state wave function for estimates of the enhanced neutron production rate on water plasma drenched cathodes of chemical cells.

A. Widom; J. Swain; Y. N. Srivastava

2013-05-19T23:59:59.000Z

445

Shale Gas Production: Potential versus Actual GHG Emissions  

E-Print Network (OSTI)

Estimates of greenhouse gas (GHG) emissions from shale gas production and use are controversial. Here we assess the level of GHG emissions from shale gas well hydraulic fracturing operations in the United States during ...

O'Sullivan, Francis

446

Data Files Monthly Natural Gas Gross Production Report  

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

XLS 4 Other Sources: Comparisons between EIA-914 estimates and other sources, Bcfd XLS 5 EIA-914 Response Rates: Production Weighted Response Rates by Area by Month, percent XLS...

447

Buy Energy-Efficient Products (Fact Sheet), Federal Energy Management...  

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

FEMP estimates that Federal purchases of energy-efficient products could have saved the government a half billion dollars in 2011. Photo from: iStock 17416102 Buy Energy- Efficient...

448

Energy and Cost Savings Calculators for Energy-Efficient Products  

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

The energy and cost calculators below allow Federal agencies to enter their own input values (such as utility rates, hours of use) to estimate energy and cost savings for energy-efficient products....

449

Shale gas production: potential versus actual greenhouse gas emissions  

E-Print Network (OSTI)

Estimates of greenhouse gas (GHG) emissions from shale gas production and use are controversial. Here we assess the level of GHG emissions from shale gas well hydraulic fracturing operations in the United States during ...

O’Sullivan, Francis Martin

450

Petroleum - Exploration & Production - EIA  

U.S. Energy Information Administration (EIA)

Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity. ... Oil Production Capacity Expansion Costs for the Persian Gulf.

451

Thai gas production now underway  

SciTech Connect

Encouraged by the prospect of reducing crude imports by 20%, the Thai government is investing heavily in a national gas development project that will tap at least two and possibly four gas fields in the Gulf of Thailand by the mid-1980's. The installation of the B wellhead platform on Union Oil Co. of Thailand's A-structure field marked the first completed construction in the project. Gas reserves in the A structure - a 15-mile-long faulted anticline in the southern Pattani trough - could be between 1 and 2 trillion CF; production will peak at 250 million CF/day of gas and 6000 bbl/day of condensate. Pairs of production-processing platforms will handle production, liquids-separation, and dehydration functions. The gas will then flow to a central processing platform for sendout to shore via a 264-mile (425-km) 34-in. pipeline. Production from the A field is scheduled to start in July 1980. Meanwhile, Texas Pacific Oil Co., Inc., has a 1983 production target for development of the more southerly B field, estimated to contain 5.8 TCF.

1980-02-01T23:59:59.000Z

452

Venezuela. [LPG marketing and production  

SciTech Connect

Liquefied petroleum gas marketing and production from Venezuela are not very complicated or big in the business. There is moderate LPG production since the main production comes from oil. There is about 2.3 million bpd of oil production compared with less than 70,000 bpd of gas liquids. Of more than 95% of the associated gas produced with the oil, 50% is injected as a condensate recovery process. Up to now, the LPG plants have been producing only a trickle, most of it from gas before it was injected. In the future program for gas utilization, it is estimated that by 1980 about twice the liquid that is now being produced would be available for exportation to natural markets of the Gulf of Mexico and the east coast. The production of about 7 million tons until the year 2000 can be continued with good conservation and with the future potential area that has been discovered in the south part of the lake and offshore Venezuela.

Reyes, A.

1977-01-01T23:59:59.000Z

453

Robust Talker Direction Estimation Based on Weighted CSP Analysis and Maximum Likelihood Estimation  

Science Conference Proceedings (OSTI)

This paper describes a new talker direction estimation method for front-end processing to capture distant-talking speech by using a microphone array. The proposed method consists of two algorithms: One is a TDOA (Time Delay Of Arrival) estimation algorithm ... Keywords: robust talker direction estimation, CSP analysis, CSP coefficient subtraction, ML estimation, microphone array

Yuki Denda; Takanobu Nishiura; Yoichi Yamashita

2006-03-01T23:59:59.000Z

454

The effects of incorporating dynamic data on estimates of uncertainty  

E-Print Network (OSTI)

Petroleum exploration and development are capital intensive and smart economic decisions that need to be made to profitably extract oil and gas from the reservoirs. Accurate quantification of uncertainty in production forecasts will help in assessing risk and making good economic decisions. This study investigates the effect of combining dynamic data with the uncertainty in static data to see the effect on estimates of uncertainty in production forecasting. Fifty permeability realizations were generated for a reservoir in west Texas from available petrophysical data. We quantified the uncertainty in the production forecasts using a likelihood weighting method and an automatic history matching technique combined with linear uncertainty analysis. The results were compared with the uncertainty predicted using only static data. We also investigated approaches for best selecting a smaller number of models from a larger set of realizations to be history matched for quantification of uncertainty. We found that incorporating dynamic data in a reservoir model will result in lower estimates of uncertainty than considering only static data. However, incorporation of dynamic data does not guarantee that the forecasted ranges will encompass the true value. Reliability of the forecasted ranges depends on the method employed. When sampling multiple realizations of static data for history matching to quantify uncertainty, a sampling over the entire range of realization likelihoods shows larger confidence intervals and is more likely to encompass the true value for predicted fluid recoveries, as compared to selecting the best models.

Mulla, Shahebaz Hisamuddin

2003-12-01T23:59:59.000Z

455

NETL: News Release - DOE Study Raises Estimates of Coalbed Methane  

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

December 16, 2002 December 16, 2002 DOE Study Raises Estimates of Coalbed Methane Potential in Powder River Basin Actual Production Will Hinge on Water Disposal Method WASHINGTON, DC - The Powder River Basin, a vast region of high plains in Wyoming and Montana known for producing low-sulfur coal, is also becoming a primary source of America's fastest growing natural gas resource, coalbed methane. Now, a new Department of Energy report projects that the region may hold more coalbed methane than previously estimated but the amount that will actually be produced will depend largely on the choice of the water disposal method. MORE INFO Download report [7.35MB PDF] The study, Powder River Basin Coalbed Methane Development and Produced Water Management Study, was prepared by Advanced Resources International of

456

Reliability Estimates for Power Supplies  

Science Conference Proceedings (OSTI)

Failure rates for large power supplies at a fusion facility are critical knowledge needed to estimate availability of the facility or to set priorties for repairs and spare components. A study of the "failure to operate on demand" and "failure to continue to operate" failure rates has been performed for the large power supplies at DIII-D, which provide power to the magnet coils, the neutral beam injectors, the electron cyclotron heating systems, and the fast wave systems. When one of the power supplies fails to operate, the research program has to be either temporarily changed or halted. If one of the power supplies for the toroidal or ohmic heating coils fails, the operations have to be suspended or the research is continued at de-rated parameters until a repair is completed. If one of the power supplies used in the auxiliary plasma heating systems fails the research is often temporarily changed until a repair is completed. The power supplies are operated remotely and repairs are only performed when the power supplies are off line, so that failure of a power supply does not cause any risk to personnel. The DIII-D Trouble Report database was used to determine the number of power supply faults (over 1,700 reports), and tokamak annual operations data supplied the number of shots, operating times, and power supply usage for the DIII-D operating campaigns between mid-1987 and 2004. Where possible, these power supply failure rates from DIII-D will be compared to similar work that has been performed for the Joint European Torus equipment. These independent data sets support validation of the fusion-specific failure rate values.

Lee C. Cadwallader; Peter I. Petersen

2005-09-01T23:59:59.000Z

457

Budget estimates. Fiscal year 1998  

SciTech Connect

The U.S. Congress has determined that the safe use of nuclear materials for peaceful purposes is a legitimate and important national goal. It has entrusted the Nuclear Regulatory Commission (NRC) with the primary Federal responsibility for achieving that goal. The NRC`s mission, therefore, is to regulate the Nation`s civilian use of byproduct, source, and special nuclear materials to ensure adequate protection of public health and safety, to promote the common defense and security, and to protect the environment. The NRC`s FY 1998 budget requests new budget authority of $481,300,000 to be funded by two appropriations - one is the NRC`s Salaraies and Expenses appropriation for $476,500,000, and the other is NRC`s Office of Inspector General appropriation for $4,800,000. Of the funds appropriated to the NRC`s Salaries and Expenses, $17,000,000, shall be derived from the Nuclear Waste Fund and $2,000,000 shall be derived from general funds. The proposed FY 1998 appropriation legislation would also exempt the $2,000,000 for regulatory reviews and other assistance provided to the Department of Energy from the requirement that the NRC collect 100 percent of its budget from fees. The sums appropriated to the NRC`s Salaries and Expenses and NRC`s Office of Inspector General shall be reduced by the amount of revenues received during FY 1998 from licensing fees, inspection services, and other services and collections, so as to result in a final FY 1998 appropriation for the NRC of an estimated $19,000,000 - the amount appropriated from the Nuclear Waste Fund and from general funds. Revenues derived from enforcement actions shall be deposited to miscellaneous receipts of the Treasury.

1997-02-01T23:59:59.000Z

458

Estimates of emergency operating capacity in US manufacturing and nonmanufacturing industries - Volume 1: Concepts and Methodology  

SciTech Connect

Development of integrated mobilization preparedness policies requires planning estimates of available productive capacity during national emergency conditions. Such estimates must be developed in a manner to allow evaluation of current trends in capacity and the consideration of uncertainties in various data inputs and in engineering assumptions. This study developed estimates of emergency operating capacity (EOC) for 446 manufacturing industries at the 4-digit Standard Industrial Classification (SIC) level of aggregation and for 24 key nonmanufacturing sectors. This volume lays out the general concepts and methods used to develop the emergency operating estimates. The historical analysis of capacity extends from 1974 through 1986. Some nonmanufacturing industries are included. In addition to mining and utilities, key industries in transportation, communication, and services were analyzed. Physical capacity and efficiency of production were measured. 3 refs., 2 figs., 12 tabs. (JF)

Belzer, D.B. (Pacific Northwest Lab., Richland, WA (USA)); Serot, D.E. (D/E/S Research, Richland, WA (USA)); Kellogg, M.A. (ERCE, Inc., Portland, OR (USA))

1991-03-01T23:59:59.000Z

459

EIA - Analysis of Natural Gas Production  

Gasoline and Diesel Fuel Update (EIA)

Production Production 2010 Natural Gas Year-In-Review 2009 This is a special report that provides an overview of the natural gas industry and markets in 2009 with special focus on the first complete set of supply and disposition data for 2009 from the Energy Information Administration. Topics discussed include natural gas end-use consumption trends, offshore and onshore production, imports and exports of pipeline and liquefied natural gas, and above-average storage inventories. Categories: Prices, Production, Consumption, Imports/Exports & Pipelines, Storage (Released, 7/9/2010, Html format) Natural Gas Data Collection and Estimation This presentation to the Oklahoma Independent Petroleum Association gives an overview of the EIA natural gas data collection system, Oklahoma natural gas statistics, recent changes in monthly natural gas production statistics, and the May 2010 short-term natural gas forecast. The presentation focuses on the EIA-914, the "Monthly Natural Gas Production Report," and recent changes to this survey's estimation methodology. Categories: Production (Released, 6/9/2010, ppt format)

460

Crude Oil plus Lease Condensate Revision Increases  

Gasoline and Diesel Fuel Update (EIA)

3,270 3,900 5,096 2009-2011 3,270 3,900 5,096 2009-2011 Federal Offshore U.S. 710 879 1,966 2009-2011 Pacific (California) 33 38 25 2009-2011 Louisiana & Alabama 616 790 1,861 2009-2011 Texas 61 51 80 2009-2011 Alaska 394 397 362 2009-2011 Lower 48 States 2,876 3,503 4,734 2009-2011 Alabama 9 9 2 2009-2011 Arkansas 5 12 31 2009-2011 California 427 276 394 2009-2011 Coastal Region Onshore 105 40 118 2009-2011 Los Angeles Basin Onshore 98 22 23 2009-2011 San Joaquin Basin Onshore 192 204 229 2009-2011 State Offshore 32 10 24 2009-2011 Colorado 28 52 71 2009-2011 Florida 8 10 9 2009-2011 Illinois 12 0 6 2009-2011 Indiana 1 0 1 2009-2011 Kansas 49 52 47 2009-2011 Kentucky 4 1 9 2009-2011 Louisiana 100 139 100 2009-2011 North 15 69 16 2009-2011 South Onshore

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

A Branch-and-Price Approach to the Share-of-Choice Product Line Design Problem  

Science Conference Proceedings (OSTI)

We develop a branch-and-price algorithm for constructing an optimal product line using partworth estimates from choice-based conjoint analysis. The algorithm determines the specific attribute levels for each multiattribute product in a set of products ... Keywords: branch and price, column generation, combinatorial optimization, conjoint analysis, integer programming, marketing, optimization, product line design, share of choice

Xinfang (Jocelyn) Wang; Jeffrey D. Camm; David J. Curry

2009-10-01T23:59:59.000Z

462

State energy data report 1994: Consumption estimates  

Science Conference Proceedings (OSTI)

This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

NONE

1996-10-01T23:59:59.000Z

463

Biological production of products from waste gases  

DOE Patents (OSTI)

A method and apparatus are designed for converting waste gases from industrial processes such as oil refining, and carbon black, coke, ammonia, and methanol production, into useful products. The method includes introducing the waste gases into a bioreactor where they are fermented to various products, such as organic acids, alcohols, hydrogen, single cell protein, and salts of organic acids by anaerobic bacteria within the bioreactor. These valuable end products are then recovered, separated and purified.

Gaddy, James L. (Fayetteville, AR)

2002-01-22T23:59:59.000Z

464

OPEC Crude Oil Production 1999-2001  

Gasoline and Diesel Fuel Update (EIA)

EIA assumes in its base case that OPEC 10 production averages about EIA assumes in its base case that OPEC 10 production averages about 0.6 million barrels per day less in the 1st quarter of 2001 than was produced in the 4th quarter of 2000. This is based on the assumption that beginning in February 2001, OPEC 10 production is 1 million barrels per day less than the estimate for December 2000. Over the course of the past year, worldwide oil production has increased by about 3.7 million barrels per day to a level of 77.8 million barrels per day in the last months of 2000. After being nearly completely curtailed in December 2000, EIA's base case assumes that Iraqi oil exports only partially return in January. By February, EIA assumes Iraqi crude oil production reaches 3 million barrels per day, roughly the peak levels reached last year.

465

Estimating the economic value of wind forecasting to utilities  

SciTech Connect

Utilities are sometimes reluctant to assign capacity value to wind plants because they are an intermittent resource. One of the potential difficulties is that the output of a wind plant may not be known in advance, thereby making it difficult for the utility to consider wind output as firm. In this paper, we examine the economics of an accurate wind forecast, and provide a range of estimates calculated by a production cost model and real utility data. We discuss how an accurate forecast will affect resource scheduling and the mechanism by which resource scheduling can benefit from an accurate wind forecast.

Milligan, M.R.; Miller, A.H. [National Renewable Energy Lab., Golden, CO (United States); Chapman, F. [Environmental Defense Fund, Oakland, CA (United States)

1995-05-01T23:59:59.000Z

466

Estimating Emissions of Other Greenhouse Gases  

U.S. Energy Information Administration (EIA)

Estimating Emissions of Other Greenhouse Gases Presentation to the Department of Energy Republic of the Philippines September 17, 1997 Arthur Rypinski Energy ...

467

Improved diagnostic model for estimating wind energy  

DOE Green Energy (OSTI)

Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

Endlich, R.M.; Lee, J.D.

1983-03-01T23:59:59.000Z

468

Estimate sequence methods: extensions and approximations  

E-Print Network (OSTI)

Aug 11, 2009 ... The approach of estimate sequence offers an interesting rereading of a ... a strategy for reducing the iteration cost by solving only coarsely ...

469

Estimating Mitigation Potential of Agricultural Projects: an...  

Open Energy Info (EERE)

Tool (EX-ACT) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Brazil-Estimating Mitigation Potential of Agricultural Projects: an Application of the...

470

ORISE: Radiation Dose Estimates and Other Compendia  

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

article addresses methods that can be used to rapidly estimate internal and external radiation dose magnitudes that can be used to help guide early medical management. Included...

471

Bandlet Image Estimation with Model Selection  

E-Print Network (OSTI)

A new estimator is introduced to reduce white noise added to images having a geometrical regularity. This estimator projects the observations on orthogonal bandlet vectors selected in a dictionary of orthonormal bases. It is proved that the resulting risk is quasi asymptotically minimax for geometrically regular images. This paper is also a tutorial on estimation with general dictionary of orthogonal bases, through model selection. It explains how to build a thresholding estimator in a adaptively chosen ``best'' basis and gives a simple proof of its performance with the model selection approach of Barron, Birge and Massart

Dossal, Charles; Mallat, Stéphane

2008-01-01T23:59:59.000Z

472

Estimating IPv6 & DNSSEC Deployment Status  

Science Conference Proceedings (OSTI)

Estimating IPv6 & DNSSEC External Service Deployment Status Background and Methodology. ... gov.two. Agency Two, (errors & islands). gov.three. ...

2013-11-07T23:59:59.000Z

473

Argonne Software Licensing: Battery Life Estimation Software  

Battery Life Estimation. Rising gasoline and diesel fuel prices have resulted in a resurgence of interest in hybrid electric and plug-in hybrid ...

474

Bayesian methods for estimating ROC curves.  

E-Print Network (OSTI)

?? Receiver operating characteristic (ROC) analysis is a fundamental method for assessing imaging systems. However, clinical trials to estimate ROC curves can be costly as… (more)

Zur, Richard Michael

2011-01-01T23:59:59.000Z

475

Mechanical estimating guidebook for building construction  

SciTech Connect

Rapid and reliable techniques for estimating the cost of materials and labor are offered in the fifth edition of this handbook. It contains work-hour task times and performance data for hundreds of jobs compiled over years to testing and analysis. New sections are devoted to solar heating, energy management, computer estimating, fire control and sprinkler systems, and estimating life-cycle costs. Like its predecessors, the book also covers criteria for estimating, mechanical cooling and heating equipment, piping, ductwork, insulation, electrical wiring, and foundations and supports. Air distribution, tools and special equipment, tanks, pumps, instrumentation and controls, excavating and trenching, heat and air recovery, and antipollution filtration are also discussed.

Gladstone, J.

1987-01-01T23:59:59.000Z

476

Estimating solar irradiance using a geostationary satellite  

E-Print Network (OSTI)

207. Web References WR1. California Energy Commision (CEC)UNIVERSITY OF CALIFORNIA, SAN DIEGO Estimating SolarChair University of California, San Diego iii DEDICATION

Urquhart, Bryan Glenn

2011-01-01T23:59:59.000Z

477

Compressive Sensing Based High Resolution Channel Estimation ...  

E-Print Network (OSTI)

estimation architecture. We first provide the motivation, as well as the CS ...... security, and smart grid communication. Dr. Han is an Associate Editor of IEEE ...

478

Covered Product Category: Cool Roof Products  

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

FEMP provides acquisition guidance across a variety of product categories, including cool roof products, which are an ENERGY STAR®-qualified product category. Federal laws and executive orders mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

479

Production Economics Modeling and Analysis of Polluting firms: The Production Frontier Approach  

E-Print Network (OSTI)

As concern grows about energy and environment issues, energy and environmental modeling and related policy analysis are critical issues for today's society. Polluting firms such as coal power plants play an important role in providing electricity to drive the U.S. economy as well as producing pollution that damages the environment and human health. This dissertation is intended to model and estimate polluting firms' production using nonparametric methods. First, frontier production function of polluting firms is characterized by weak disposability between outputs and pollutants to reflecting the opportunity cost to reduce pollutants. The StoNED method is extended to estimate a weak disposability frontier production function accounting for random noise in the data. The method is applied to the U.S. coal power plants under the Acid Rain Program to find the average technical inefficiency and shadow price of SO2 and NOx. Second, polluting firms' production processes are modeled characterizing both the output production process and the pollution abatement process. Using the law of conservation of mass applied to the pollution abatement process, this dissertation develops a new frontier pollutant function which then is used to find corresponding marginal abatement cost of pollutants. The StoNEZD method is applied to estimate a frontier pollutant function considering the vintage of capital owned by the polluting firms. The method is applied to estimate the average NOx marginal abatement cost for the U.S. coal power plants under the current Clean Air Interstate Rule NOx program. Last, the effect of a technical change on marginal abatement costs are investigated using an index decomposition technique. The StoNEZD method is extended to estimate sequential frontier pollutant functions reflecting the innovation in pollution reduction. The method is then applied to estimate a technical change effect on a marginal abatement cost of the U.S. coal power plants under the current Clean Air Interstate Rule NOx program.

Mekaroonreung, Maethee

2012-08-01T23:59:59.000Z

480

County-level Estimates for Carbon Distribution in U.S. Croplands, 1990-2005  

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

County-level Estimates for Carbon Distribution in U.S. Croplands, 1990-2005 County-level Estimates for Carbon Distribution in U.S. Croplands, 1990-2005 Tristram O. West Environmental Sciences Division, Oak Ridge National Laboratory Net Primary Productivity (NPP) for croplands can be estimated using a statistical method that includes factors for dry weight, harvest indices, and root:shoot ratios multiplied by yield data from the National Agricultural Statistics Service (NASS). This method has been documented and published by Prince et al. (2001), Hicke and Lobell (2004), and Hicke et al. (2004). We expanded this method by including factors for more crops and by using an estimated carbon content of 0.45 for agricultural crops to estimate (a) total net carbon uptake, (b) carbon in aboveground biomass, (c) carbon in belowground biomass, (d) carbon harvested and transported off

Note: This page contains sample records for the topic "2009-2011 estimated production" 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

Estimating the Cost of Large Superconducting Thin Solenoid Magnets  

E-Print Network (OSTI)

for making a preliminary cost estimate of proposed one of afor making a budgetary cost estimate of relatively lightbut in other cases, the cost estimates are wildly different

Green, M.A.

2011-01-01T23:59:59.000Z

482

GAO Cost Estimating and Assessment Guide | Department of Energy  

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

GAO Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide GAO 12-Step Estimating Process.pdf More Documents & Publications EIR SOP Septmebr 2010 Microsoft...

483

Empirical findings on team size and productivity in software development  

Science Conference Proceedings (OSTI)

The size of software project teams has been considered to be a driver of project productivity. Although there is a large literature on this, new publicly available software repositories allow us to empirically perform further research. In this paper ... Keywords: Effort estimation datasets, ISBSG repository, Productivity, Team size

D. Rodríguez; M. A. Sicilia; E. García; R. Harrison

2012-03-01T23:59:59.000Z

484

Cost Estimating Handbook for Environmental Restoration  

Science Conference Proceedings (OSTI)

Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.

NONE

1990-09-01T23:59:59.000Z

485

WEB RESOURCES: Magnesium Production  

Science Conference Proceedings (OSTI)

Feb 12, 2007 ... Mg Production(Australia).pdf 49.21 KB MgProduction_Australia.mht 81.47 KB Mg Production(Brazil Israel Congo Malaysia).pdf 50.48 KB

486

Base line estimation using sparse nonlinear operators  

Science Conference Proceedings (OSTI)

Efficient nonlinear operators for base line estimation of high energy physics detector signals are introduced. Due to the high processing rate requirements the operators are simplified using sparse input sequences. The operators are a sparse order statistic ... Keywords: base line estimation, filter training, order statistic filter

Sami J. Inkinen; Yrjö Neuvo

2002-05-01T23:59:59.000Z

487

Density estimation for spatial data streams  

Science Conference Proceedings (OSTI)

In this paper we study the problem of estimating several types of spatial queries in a streaming environment. We propose a new approach, which we call Local Kernels, for computing density estimators by using local rather than global statistics on the ...

Cecilia M. Procopiuc; Octavian Procopiuc

2005-08-01T23:59:59.000Z

488

Bivariate density estimation using BV regularisation  

Science Conference Proceedings (OSTI)

The problem of bivariate density estimation is studied with the aim of finding the density function with the smallest number of local extreme values which is adequate with the given data. Adequacy is defined via Kuiper metrics. The concept of the taut-string ... Keywords: Density estimation, Modality, Regularisation

Andreas Obereder; Otmar Scherzer; Arne Kovac

2007-08-01T23:59:59.000Z

489

Semiparametrically weighted robust estimation of regression models  

Science Conference Proceedings (OSTI)

A class of two-step robust regression estimators that achieve a high relative efficiency for data from light-tailed, heavy-tailed, and contaminated distributions irrespective of the sample size is proposed and studied. In particular, the least weighted ... Keywords: Adaptive estimation, Asymptotic efficiency, Breakdown point, Least weighted squares

Pavel íek

2011-01-01T23:59:59.000Z

490

REPORT NO. 4 ESTIMATES AND EVALUATION OF  

E-Print Network (OSTI)

REPORT NO. 4 ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS ESTIMATES AND EVALUATION OF FALLOUT IN THE UNITED STATES FROM NUCLEAR WEAPONS TESTING CONDUCTED THROUGH 1962 Transport and Distribution of Fallout. . . . . . . . . . . . . . . 6 Section IV Radionuclides in the Diet

491

Estimating the Change of Web Pages  

Science Conference Proceedings (OSTI)

This paper presents the estimation methods computing the probabilities of how many times web pages are downloaded and modified, respectively, in the future crawls. The methods can make web database administrators avoid unnecessarily requesting undownloadable ... Keywords: web database administration, web page change estimation

Sung Jin Kim; Sang Ho Lee

2007-05-01T23:59:59.000Z

492

Structural Workshop Paper---Estimating Discrete Games  

Science Conference Proceedings (OSTI)

This paper provides a critical review of the methods for estimating static discrete games and their relevance for quantitative marketing. We discuss the various modeling approaches, alternative assumptions, and relevant trade-offs involved in taking ... Keywords: discrete choice, games estimation, structural models

Paul B. Ellickson; Sanjog Misra

2011-11-01T23:59:59.000Z

493

Broadband ML estimation under model order uncertainty  

Science Conference Proceedings (OSTI)

The number of signals hidden in data plays a crucial role in array processing. When this information is not available, conventional approaches apply information theoretic criteria or multiple hypothesis tests to simultaneously estimate model order and ... Keywords: Broadband signals, Direction of arrival, Maximum likelihood estimation, Overparameterized models, Unknown number of signals

Pei-Jung Chung; Mats Viberg; Christoph F. Mecklenbräuker

2010-05-01T23:59:59.000Z

494

An algorithm for underdetermined mixing matrix estimation  

Science Conference Proceedings (OSTI)

This paper considers the problem of mixing matrix estimation in underdetermined blind source separation (UBSS). We propose a simple and effective detection algorithm which detects the time-frequency (TF) points occupied by only a single source for each ... Keywords: Mixing matrix estimation, Robust clustering, Sparse component analysis, Underdetermined blind source separation

Tianbao Dong; Yingke Lei; Jingshu Yang

2013-03-01T23:59:59.000Z

495

Outdoor Visual Position Estimation for Planetary Rovers  

Science Conference Proceedings (OSTI)

This paper describes (1) a novel, effective algorithm for outdoor visual position estimation; (2) the implementation of this algorithm in the Viper system; and (3) the extensive tests that have demonstrated the superior accuracy and speed of ... Keywords: computer vision, mobile robots, position estimation, space robotics

Fabio Cozman; Eric Krotkov; Carlos Guestrin

2000-09-01T23:59:59.000Z

496

Annual Coded Wire Program Missing Production Groups, 1996 Annual Report.  

DOE Green Energy (OSTI)

In 1989 the Bonneville Power Administration (BPA) began funding the evaluation of production groups of juvenile anadromous fish not being coded-wire tagged for other programs. These groups were the ``Missing Production Groups``. Production fish released by the US Fish and Wildlife Service (USFWS) without representative coded-wire tags during the 1980`s are indicated as blank spaces on the survival graphs in this report. The objectives of the ``Missing Production Groups`` program are: to estimate the total survival of each production group, to estimate the contribution of each production group to various fisheries, and to prepare an annual report for all USFWS hatcheries in the Columbia River basin. Coded-wire tag recovery information will be used to evaluate the relative success of individual brood stocks. This information can also be used by salmon harvest managers to develop plans to allow the harvest of excess hatchery fish while protecting threatened, endangered, or other stocks of concern.

Pastor, S.M. [Fish and Wildlife Service, Vancouver, WA (United States). Columbia River Fisheries Program Office

1997-07-01T23:59:59.000Z

497

CHP Emissions Reduction Estimator | Open Energy Information  

Open Energy Info (EERE)

CHP Emissions Reduction Estimator CHP Emissions Reduction Estimator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CHP Emissions Reduction Estimator Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Buildings, Transportation, Industry Topics: GHG inventory, Co-benefits assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.epa.gov/chp/basic/calculator.html Country: United States UN Region: Northern America CHP Emissions Reduction Estimator Screenshot References: http://www.epa.gov/chp/basic/calculator.html "This Emissions Estimator provides the amount of reduced emissions in terms of pounds of CO2, SO2, and NOX based on input from the User regarding the CHP technology being used. In turn the User will be provided with

498

New approaches to estimation of magnetotelluric parameters  

DOE Green Energy (OSTI)

Fully efficient robust data processing procedures were developed and tested for single station and remote reference magnetotelluric (Mr) data. Substantial progress was made on development, testing and comparison of optimal procedures for single station data. A principal finding of this phase of the research was that the simplest robust procedures can be more heavily biased by noise in the (input) magnetic fields, than standard least squares estimates. To deal with this difficulty we developed a robust processing scheme which combined the regression M-estimate with coherence presorting. This hybrid approach greatly improves impedance estimates, particularly in the low signal-to-noise conditions often encountered in the dead band'' (0.1--0.0 hz). The methods, and the results of comparisons of various single station estimators are described in detail. Progress was made on developing methods for estimating static distortion parameters, and for testing hypotheses about the underlying dimensionality of the geological section.

Egbert, G.D.

1991-01-01T23:59:59.000Z

499

How the Carbon Emissions Were Estimated  

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

How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated How the Carbon Emissions Were Estimated Carbon dioxide emissions are the main component of greenhouse gas emissions caused by human activity. Carbon dioxide is emitted mostly as a byproduct of the combustion of fossil fuels for energy, although certain industrial processes (e.g., cement manufacture) also emit carbon dioxide. The estimates of energy-related carbon emissions require both data on the energy use and carbon emissions coefficients relating energy use to the amount of carbon emitted. The Energy Information Administration (EIA) is the main source of data on U.S. energy use. Emissions of Greenhouse Gases in the United States 1998 used annual data provided by energy suppliers. However, to obtain more detail on how different sectors use energy, the emissions estimates in Energy and GHG Analysis rely data from on surveys of energy users, such as manufacturing establishments and commercial buildings.

500

MODIS Land Products Subsets  

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

ORNL DAAC MODIS Land Product Subsets MODIS Collection 5 Global Subsetting and Visualization Tool Create subset for user selected site, area, product, and time period. Data for...