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Note: This page contains sample records for the topic "ivory coast-are expected" 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.
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1

Ivory (soap) Flakes and historic artifacts  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFunInfrared LandResponsesIon/SurfacePump-Testing SignIonii SANDIvan K.Ivory

2

Protecting the African elephant: A dynamic bioeconomic model of ivory trade  

E-Print Network [OSTI]

Protecting the African elephant: A dynamic bioeconomic model of ivory trade G. Cornelis van Kooten Accepted 25 May 2008 Available online 7 July 2008 Keywords: Economics Elephant conservation Ivory trade ban on the protection of the African elephant (Laxadonta africana). The model consists of four ivory exporting regions

3

Contributed Paper Combating the Illegal Trade in African Elephant Ivory  

E-Print Network [OSTI]

product origin because the information they can provide typically begins only at the point of shipment detected by forensic information, which typically begins only at the shipping source. Keywords: African elephant, DNA, assignment tests, ivory trade, poaching, wildlife trafficking Combate del Comercio Ilegal de

Wasser, Samuel

4

Assigning African elephant DNA to geographic region of origin: Applications to the ivory trade  

E-Print Network [OSTI]

Assigning African elephant DNA to geographic region of origin: Applications to the ivory trade for review May 7, 2004) Resurgence of illicit trade in African elephant ivory is placing the elephant geographic- specific allele frequencies over the entire African elephants' range for 16 microsatellite loci

Stephens, Matthew

5

E-Print Network 3.0 - african elephant ivory Sample Search Results  

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

on the Ethics of Elephant Culling Saliem Fakir, Talk at the Ethics Society Congress of South Africa, 30th Summary: is trade in ivory and other parts of elephants that are...

6

Beyond the ivory tower : in search of a new form for campus-community relationships  

E-Print Network [OSTI]

The terms "ivory tower" and "town-gown" have long been used to characterize the relationship between institutions of higher education and the communities in which they reside. While these adversarial phrases reflect the ...

Bowman, Anne (Anne Renee)

2011-01-01T23:59:59.000Z

7

Innovative production system goes in off Ivory Coast  

SciTech Connect (OSTI)

The phased field development of the Lion and Panthere fields, offshore the Ivory Coast, includes a small floating production, storage, and offloading (FPSO) tanker with minimal processing capability as an early oil production system (EPS). For the long-term production scheme, the FPSO will be replaced by a converted jack up mobile offshore production system (MOPS) with full process equipment. The development also includes guyed-caisson well platforms, pipeline export for natural gas to fuel an onshore power plant, and a floating storage and offloading (FSO) tanker for oil export. Pipeline export for oil is a future possibility. This array of innovative strategies and techniques seldom has been brought together in a single project. The paper describes the development plan, early oil, jack up MOPS, and transport and installation.

Childers, M. [Oceaneering Production Systems, Houston, TX (United States); Barnes, J. [Paragon Engineering Services Inc., Houston, TX (United States)]|[UMC Petroleum Corp., Houston, TX (United States)

1995-07-17T23:59:59.000Z

8

Mass deposition event of Pyrosoma atlanticum carcasses off Ivory Coast (West Africa) M. Lebrato1,* and D. O. B. Jones  

E-Print Network [OSTI]

Mass deposition event of Pyrosoma atlanticum carcasses off Ivory Coast (West Africa) M. Lebrato1 2006 at the seafloor in the Ivory Coast area (West Africa). Remotely operated vehicle surveys were conducted in a continuous depth gradient between 20 and 1275 m along an oil pipeline. Video and still

National Oceanography Centre, Southampton

9

EXPECTATIONS AND SUGGESTIONS  

E-Print Network [OSTI]

EXPECTATIONS AND SUGGESTIONS. STUDENTS SHOULD SPEND A MINIMUM OF 10 HOURS OF. COURSE WORK OUTSIDE OF CLASS PER WEEK

odavis

2010-01-05T23:59:59.000Z

10

Expectations across entertainment media  

E-Print Network [OSTI]

An audience's satisfaction with an entertainment product is dependent on how well their expectations are fulfilled. This study delves into the implicit contract that is formed between the purveyor of an entertainment ...

Austin, Alexander Chance

2007-01-01T23:59:59.000Z

11

Preliminary Expected Performance Characteristics  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - SeptemberMicroneedles for medical point07.06 Agenda 2006 USERPreliminary Expected

12

Exceeding Energy Consumption Design Expectations  

E-Print Network [OSTI]

) the building consumed 208.7 kWh m-2 yr-1, 83% of the expected energy consumption (250 kWh m-2 yr-1). This dropped further to 176.1 kWh m-2 yr-1 in 2012 (70% below expected). Factors affecting building energy consumption have been discussed and appraised...

Castleton, H. F.; Beck, S. B. M.; Hathwat, E. A.; Murphy, E.

2013-01-01T23:59:59.000Z

13

Subjective expected utility without preferences$  

E-Print Network [OSTI]

Utility (henceforth model SEUc, the subscript c being $ Authors are listed alphabetically. The workSubjective expected utility without preferences$ Denis Bouyssoua,b , Thierry Marchantc a CNRS of subjective expected utility based on prim- itives only involving the fact that an act can be judged either

Paris-Sud XI, Université de

14

Reflexive Expectation Formation Timo Ehrig  

E-Print Network [OSTI]

of expectations fold back to the realized economic process, and in particular, to the selection of one of multiple possible equilibria in the economic process? We present a game theoretical model in which these questions and the development of macroe- conomic quantities, when there is a fundamental uncertainty about the economic process

Jost, Jürgen

15

Critique of ``Expected Value`` models  

SciTech Connect (OSTI)

There are a number of models in the defense community which use a methodology referred to as ``Expected Value`` to perform sequential calculations of unit attritions or expenditures. The methodology applied to two-sided, dependent, sequential events can result in an incorrect model. An example of such an incorrect model is offered to show that these models may yield results which deviate significantly from a stochastic or Markov process approach. The example was derived from an informal discussion at the Center for Naval Analyses.

May, W.L.

1996-06-01T23:59:59.000Z

16

Maximizing expected utility over a knapsack constraint  

E-Print Network [OSTI]

The expected utility knapsack problem is to pick a set of items whose values are ... variables so as to maximize the expected utility of the total value of the items...

2014-08-11T23:59:59.000Z

17

An expectation model of referring expressions  

E-Print Network [OSTI]

This thesis introduces EMRE, an expectation-based model of referring expressions. EMRE is proposed as a model of non-syntactic dependencies - in particular, discourse-level semantic dependencies that bridge sentence gaps. ...

Krmer, John, Ph. D. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

18

Brain MRI Classification using the Expectation Maximization  

E-Print Network [OSTI]

Brain MRI Classification using the Expectation Maximization made a brain magnetic resonance image (MRI) classification algorithm that uses a twostage applied to a set of normal brain MR images for further testing. We accomplished a working

Chen, Tsuhan

19

Driver expectancy in locating automotive controls  

E-Print Network [OSTI]

of the dimmer switch 150 3 lb Effect of age on expected location of the dimmer switch 150 31c Effect of years of driving experience on expected location of the dimmer switch. 151 31d Effect of miles driven in the past year on expected location... IOO. C Sn. i 36. 2 8/. 5 80. 0 87. 5 A=/0. 0 ZD. D 50. 0 0. 0 /0 D 12 5 2D. O 30. 0 0. 0 80. 0 80. 0 62 IDD. O 100. 0 10[. 0 Bn. o o. o 7. 5 20. 0 40. 0 37'. 5 85. 0 23 3 17. 5 16. / 74. 2 42. 5 SZ. 5 Climate C ntrol 17. 2 43. 0 36...

Francis, Dawn Suzette

1990-01-01T23:59:59.000Z

20

FOR THE RECORD Expectations from structural genomics  

E-Print Network [OSTI]

on the history of proteins classified in the SCOP structure database, we expect that only about a quarter! can help answer this question. The SCOP database ~Murzin et al., 1995! organizes proteins according a new experiment on a protein sequence identical or nearly identical to one already in the database

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Verification of automotive networks -what to expect (and not expect) from each  

E-Print Network [OSTI]

Verification of automotive networks - what to expect (and not expect) from each technique Nicolas NAVET ­ nicolas.navet@uni.lu "Automotive Bus systems + Ethernet" Stuttgart, Germany, December 9-11, 2013. December 09, 2013 #12;1 Outline - 212/11/2013Automotive Bus systems + Ethernet Early-stage timing

Navet, Nicolas

22

Setting clear expectations for safety basis development  

SciTech Connect (OSTI)

DOE-RL has set clear expectations for a cost-effective approach for achieving compliance with the Nuclear Safety Management requirements (10 CFR 830, Nuclear Safety Rule) which will ensure long-term benefit to Hanford. To facilitate implementation of these expectations, tools were developed to streamline and standardize safety analysis and safety document development resulting in a shorter and more predictable DOE approval cycle. A Hanford Safety Analysis and Risk Assessment Handbook (SARAH) was issued to standardized methodologies for development of safety analyses. A Microsoft Excel spreadsheet (RADIDOSE) was issued for the evaluation of radiological consequences for accident scenarios often postulated for Hanford. A standard Site Documented Safety Analysis (DSA) detailing the safety management programs was issued for use as a means of compliance with a majority of 3009 Standard chapters. An in-process review was developed between DOE and the Contractor to facilitate DOE approval and provide early course correction. As a result of setting expectations and providing safety analysis tools, the four Hanford Site waste management nuclear facilities were able to integrate into one Master Waste Management Documented Safety Analysis (WM-DSA).

MORENO, M.R.

2003-05-03T23:59:59.000Z

23

The expected anisotropy in solid inflation  

E-Print Network [OSTI]

Solid inflation is an effective field theory of inflation in which isotropy and homogeneity are accomplished via a specific combination of anisotropic sources (three scalar fields that individually break isotropy). This results in specific observational signatures that are not found in standard models of inflation: a non-trivial angular dependence for the squeezed bispectrum, and a possibly long period of anisotropic inflation (to drive inflation, the "solid" must be very insensitive to any deformation, and thus background anisotropies are very slowly erased). In this paper we compute the expected level of statistical anisotropy in the power spectrum of the curvature perturbations of this model. To do so, we account for the classical background values of the three scalar fields that are generated on large (superhorizon) scales during inflation via a random walk sum, as the perturbation modes leave the horizon. Such an anisotropy is unavoidably generated, even starting from perfectly isotropic classical initial conditions. The expected level of anisotropy is related to the duration of inflation and to the amplitude of the squeezed bispectrum. If this amplitude is close to its current observational limit (so that one of the most interesting predictions of the model can be observed in the near future), we find that a level of statistical anisotropy $\\gtrsim 3\\%$ in the power spectrum is to be expected, if inflation lasted $\\gtrsim 20-30$ e-folds more than the final $50-60$ efolds required to generare the CMB modes. We also comment and point out various similarities between solid inflation and models of inflation where a suitable coupling of the inflaton to a vector kinetic term $F^{2}$ gives frozen and scale invariant vector perturbations on superhorizon scales.

Nicola Bartolo; Marco Peloso; Angelo Ricciardone; Caner Unal

2014-07-30T23:59:59.000Z

24

The Impact of Teachers' Expectations, Parents' Expectations, and Academic Self-Efficacy on the Achievement of English Language Learners  

E-Print Network [OSTI]

. Riccio Committee Members, Anita S. McCormick Fuhui Tong Victor Arizpe Head of Department, Victor L. Willson August 2012 Major Subject: School Psychology iii ABSTRACT The Impact of Teachers Expectations, Parents Expectations...

Rivera, Vivina

2012-10-19T23:59:59.000Z

25

Duopoly Interaction and Expected Price for Local Access Running Heading: Duopoly Interaction and Expected Price for Local Access  

E-Print Network [OSTI]

1 Duopoly Interaction and Expected Price for Local Access Running Heading: Duopoly Interaction and Expected Price for Local Access Judith A. Molka-Danielsen Department of Informatics Molde College P.O. Box. Competition brings pricing flexibility, so that one could expect implicit subsidies, like geographic averaging

26

Gender differences in the employment expectations of final year undergraduates in a university in Central China  

E-Print Network [OSTI]

This study investigates the gender differences in final year undergraduates employment expectations, broken down by salary expectations, occupational expectations and working region expectations, in a university in ...

Zhu, Jian

2011-11-24T23:59:59.000Z

27

Scientists detect methane levels three times larger than expected...  

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

methane that actually preceded recent concerns about potential emissions from fracking," Dubey said. Scientists detect methane levels three times larger than expected over...

28

A note on the expected probability of constraint v...  

E-Print Network [OSTI]

Page 1 ... this topic): V = expected number of support constraints. 1 + number of constraints . This result (Theorem 1) is obtained using a simple technique based

2008-07-23T23:59:59.000Z

29

Expected Behavior of Quantum Thermodynamic Machines with Prior Information  

E-Print Network [OSTI]

We estimate the expected behavior of a quantum model of heat engine when we have incomplete information about external macroscopic parameters, like magnetic field controlling the intrinsic energy scales of the working medium. We explicitly derive the prior probability distribution for these unknown parameters, $a_i, (i=1,2)$. Based on a few simple assumptions, the prior is found to be of the form $\\Pi(a_i) \\propto 1/a_i$. By calculating the expected values of various physical quantities related to this engine, we find that the expected behavior of the quantum model exhibits thermodynamic-like features. This leads us to a surprising proposal that incomplete information quantified as appropriate prior distribution can lead us to expect classical thermodynamic behavior in quantum models.

George Thomas; Ramandeep S. Johal

2012-04-14T23:59:59.000Z

30

Syllabus for MA 15400Y Online Section Summer 2014 Expectations ...  

E-Print Network [OSTI]

Online Section. Summer 2014. Expectations: ... a) If ten students receive an A, according to the four-exam cut-offs, the first 10 students, on the list of total points,

Roames, Renee S

2014-06-19T23:59:59.000Z

31

Ivory Coast: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429 Throttled (botOpen Energy2005) | OpenIssaquenaItochu Corporation

32

Ivory Coast: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429 Throttled (botOpen Energy2005) | OpenIssaquenaItochu Corporation

33

Analyzing Facebook Privacy Settings: User Expectations vs. Reality  

E-Print Network [OSTI]

Analyzing Facebook Privacy Settings: User Expectations vs. Reality Yabing Liu Northeastern of personal data has emerged as a popular ac- tivity over online social networking sites like Facebook privacy. We de- ploy a survey, implemented as a Facebook application, to 200 Facebook users recruited via

Gummadi, Krishna P.

34

3DEP in Oregon by the Numbers Expected annual benefits  

E-Print Network [OSTI]

total cost (quality level 2) $32.41 million Payback 0.7 years Quality level 1 buy-up estimate $203DEP in Oregon by the Numbers Expected annual benefits (quality level 2) $45.73 million Estimated resource management; forest resources management; water supply and quality; infrastructure and construction

Torgersen, Christian

35

Blind teen-age students' expectations Focus: school-age  

E-Print Network [OSTI]

Blind teen-age students' expectations Focus: school-age Topic: What are the changing demands disabled pupils, inclusion increased significantly, particularly in high schools. Blind learners, who used. For this lecture, I will present a few blind students' opinions, which will help building the items for the case

Paris-Sud XI, Universit de

36

Kentucky Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review WYear Jan FebWellheadShale+Expected

37

Michigan Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2 Macro-IndustrialFeet)+ LeaseExpected Future

38

Montana Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per ThousandWellhead+ Lease CondensateExpected

39

New Mexico Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month Week 1 WeekExpectedBarrels) Liquids,

40

Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYear JanWellheadProved Reserves (BillionExpected

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved ReservesReserves (Billion CubicExpected

42

Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquids Reserve3.Revenue3Proved ReservesExpected

43

Ohio Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month WeekReservesYear Jan Feb0 ' u o ! )Expected

44

Oklahoma Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month WeekReservesYear Jan Feb0Proved+Expected

45

ARM - Expectations for Campaign Implementation and Close Out  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborne Visible/InfraredProductsMicroPulseCampaignsExpectations for Campaign

46

Colorado Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87 1967-2010 ImportsCubic Feet)+ LeaseExpected

47

Hypoxic cell radiosensitizers: expectations and progress in drug development  

SciTech Connect (OSTI)

When misonidazole (MISO) was introduced into clinical trials there were great expectations that the cure rate of many tumors would be dramatically increased. The lack of efficacy of MISO discouraged further studies with hypoxic cell sensitizers. In recent years superior sensitizers SR 2508 and RO-03-8799 have been introduced into the clinic. SR 2508 is less neurotoxic than MISO, allowing more than three times the total amount of drug to be administered. Furthermore, based on the analysis of a patient's plasma pharmacokinetic profile, neurotoxicity may be largely avoidable. RO-03-8799 is superior in that it produces a higher sensitizer enhancement ratio than MISO for the same administered dose. Unlike with MISO and SR 2508, the dose of RO-03-8799 that can be administered is limited by acute toxicity with no cumulative toxicity having yet been encountered. Study design has improved and the expected clinical benefit from sensitizers has been clarified. Sensitizers, like particle radiation therapy and hyperthemia will, if successful, effect the rate of local tumor control, but cannot improve the cure rate of patients with preexisting metastatic disease. Taking into account the need to optimize reoxygenation, the various reasons for tumor radioresistance other than hypoxia, and the lower oxygen and sensitizer enhancement ratios at 200 cGy per fraction, it is likely that sensitizers will provide some clinical benefit for patients with selected tumor types.

Coleman, C.N.

1985-02-01T23:59:59.000Z

48

B physics expected performances with the Compact Muon Solenoid detector  

SciTech Connect (OSTI)

We present here the future performances of the Compact Muon Solenoid detector for B physics. We show that CMS will contribute significantly to the CP violation parameter sin 2{beta} measurement with a precision of {delta} sin 2{beta}{approx_equal}0.02 (1 year of integrated luminosity). The asymetry in the channel B{sub s}{sup 0}{yields}J/{psi}{phi} will be tested to the 2-5% level. The mixing parameter x{sub s} of B{sub s}{sup 0} oscillations will be measured up to 40. Finaly the rare B decay should be searched down to the SM expectation and in the case of the semileptonic rare decays will provide enough statistics to performed detailed studies.

Charles, Francois [Groupe de Recherche en Physique des Hautes Energies, Universite de Haute Alsace, 61 rue A. Camus, 68093 Mulhouse (France)

1998-10-19T23:59:59.000Z

49

Expected brine movement at potential nuclear waste repository salt sites  

SciTech Connect (OSTI)

The BRINEMIG brine migration code predicts rates and quantities of brine migration to a waste package emplaced in a high-level nuclear waste repository in salt. The BRINEMIG code is an explicit time-marching finite-difference code that solves a mass balance equation and uses the Jenks equation to predict velocities of brine migration. Predictions were made for the seven potentially acceptable salt sites under consideration as locations for the first US high-level nuclear waste repository. Predicted total quantities of accumulated brine were on the order of 1 m/sup 3/ brine per waste package or less. Less brine accumulation is expected at domal salt sites because of the lower initial moisture contents relative to bedded salt sites. Less total accumulation of brine is predicted for spent fuel than for commercial high-level waste because of the lower temperatures generated by spent fuel. 11 refs., 36 figs., 29 tabs.

McCauley, V.S.; Raines, G.E.

1987-08-01T23:59:59.000Z

50

An Expectation-Maximization Method for Calibrating Synchronous Machine Models  

SciTech Connect (OSTI)

The accuracy of a power system dynamic model is essential to its secure and efficient operation. Lower confidence in model accuracy usually leads to conservative operation and lowers asset usage. To improve model accuracy, this paper proposes an expectation-maximization (EM) method to calibrate the synchronous machine model using phasor measurement unit (PMU) data. First, an extended Kalman filter (EKF) is applied to estimate the dynamic states using measurement data. Then, the parameters are calculated based on the estimated states using maximum likelihood estimation (MLE) method. The EM method iterates over the preceding two steps to improve estimation accuracy. The proposed EM methods performance is evaluated using a single-machine infinite bus system and compared with a method where both state and parameters are estimated using an EKF method. Sensitivity studies of the parameter calibration using EM method are also presented to show the robustness of the proposed method for different levels of measurement noise and initial parameter uncertainty.

Meng, Da; Zhou, Ning; Lu, Shuai; Lin, Guang

2013-07-21T23:59:59.000Z

51

Half-prophets and Robbins' Problem of Minimizing the Expected Rank  

E-Print Network [OSTI]

1993) Minimizing the expected rank with full information. J.Optimal selection based on relative ranks, Israel Journal ofMinimizing the Expected Rank F. THOMAS BRUSS ? , Universit

Thomas S. Ferguson; F. Thomas Bruss

2011-01-01T23:59:59.000Z

52

Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics  

SciTech Connect (OSTI)

The Large Hadron Collider (LHC) at CERN promises a major step forward in the understanding of the fundamental nature of matter. The ATLAS experiment is a general-purpose detector for the LHC, whose design was guided by the need to accommodate the wide spectrum of possible physics signatures. The major remit of the ATLAS experiment is the exploration of the TeV mass scale where groundbreaking discoveries are expected. In the focus are the investigation of the electroweak symmetry breaking and linked to this the search for the Higgs boson as well as the search for Physics beyond the Standard Model. In this report a detailed examination of the expected performance of the ATLAS detector is provided, with a major aim being to investigate the experimental sensitivity to a wide range of measurements and potential observations of new physical processes. An earlier summary of the expected capabilities of ATLAS was compiled in 1999 [1]. A survey of physics capabilities of the CMS detector was published in [2]. The design of the ATLAS detector has now been finalised, and its construction and installation have been completed [3]. An extensive test-beam programme was undertaken. Furthermore, the simulation and reconstruction software code and frameworks have been completely rewritten. Revisions incorporated reflect improved detector modelling as well as major technical changes to the software technology. Greatly improved understanding of calibration and alignment techniques, and their practical impact on performance, is now in place. The studies reported here are based on full simulations of the ATLAS detector response. A variety of event generators were employed. The simulation and reconstruction of these large event samples thus provided an important operational test of the new ATLAS software system. In addition, the processing was distributed world-wide over the ATLAS Grid facilities and hence provided an important test of the ATLAS computing system - this is the origin of the expression 'CSC studies' ('computing system commissioning'), which is occasionally referred to in these volumes. The work reported does generally assume that the detector is fully operational, and in this sense represents an idealised detector: establishing the best performance of the ATLAS detector with LHC proton-proton collisions is a challenging task for the future. The results summarised here therefore represent the best estimate of ATLAS capabilities before real operational experience of the full detector with beam. Unless otherwise stated, simulations also do not include the effect of additional interactions in the same or other bunch-crossings, and the effect of neutron background is neglected. Thus simulations correspond to the low-luminosity performance of the ATLAS detector. This report is broadly divided into two parts: firstly the performance for identification of physics objects is examined in detail, followed by a detailed assessment of the performance of the trigger system. This part is subdivided into chapters surveying the capabilities for charged particle tracking, each of electron/photon, muon and tau identification, jet and missing transverse energy reconstruction, b-tagging algorithms and performance, and finally the trigger system performance. In each chapter of the report, there is a further subdivision into shorter notes describing different aspects studied. The second major subdivision of the report addresses physics measurement capabilities, and new physics search sensitivities. Individual chapters in this part discuss ATLAS physics capabilities in Standard Model QCD and electroweak processes, in the top quark sector, in b-physics, in searches for Higgs bosons, supersymmetry searches, and finally searches for other new particles predicted in more exotic models.

Aad, G.; Abat, E.; Abbott, B.; Abdallah, J.; Abdelalim, A.A.; Abdesselam, A.; Abdinov, O.; Abi, B.; Abolins, M.; Abramowicz, H.; Acharya, Bobby Samir; Adams, D.L.; Addy, T.N.; Adorisio, C.; Adragna, P.; Adye, T.; Aguilar-Saavedra, J.A.; Aharrouche, M.; Ahlen, S.P.; Ahles, F.; Ahmad, A.; /SUNY, Albany /Alberta U. /Ankara U. /Annecy, LAPP /Argonne /Arizona U. /Texas U., Arlington /Athens U. /Natl. Tech. U., Athens /Baku, Inst. Phys. /Barcelona, IFAE /Belgrade U. /VINCA Inst. Nucl. Sci., Belgrade /Bergen U. /LBL, Berkeley /Humboldt U., Berlin /Bern U., LHEP /Birmingham U. /Bogazici U. /INFN, Bologna /Bologna U.

2011-11-28T23:59:59.000Z

53

Why hasn't earth warmed as much as expected?  

SciTech Connect (OSTI)

The observed increase in global mean surface temperature (GMST) over the industrial era is less than 40% of that expected from observed increases in long-lived greenhouse gases together with the best-estimate equilibrium climate sensitivity given by the 2007 Assessment Report of the Intergovernmental Panel on Climate Change. Possible reasons for this warming discrepancy are systematically examined here. The warming discrepancy is found to be due mainly to some combination of two factors: the IPCC best estimate of climate sensitivity being too high and/or the greenhouse gas forcing being partially offset by forcing by increased concentrations of atmospheric aerosols; the increase in global heat content due to thermal disequilibrium accounts for less than 25% of the discrepancy, and cooling by natural temperature variation can account for only about 15%. Current uncertainty in climate sensitivity is shown to preclude determining the amount of future fossil fuel CO2 emissions that would be compatible with any chosen maximum allowable increase in GMST; even the sign of such allowable future emissions is unconstrained. Resolving this situation by empirical determination of Earths climate sensitivity from the historical record over the industrial period or through use of climate models whose accuracy is evaluated by their performance over this period is shown to require substantial reduction in the uncertainty of aerosol forcing over this period.

Schwartz, S.E.; Charlson, R.; Kahn, R.; Ogren, J.; Rodhe, H.

2010-03-15T23:59:59.000Z

54

Energy Efficiency Services Sector: Workforce Size and Expectations for Growth  

SciTech Connect (OSTI)

The energy efficiency services sector (EESS) is poised to become an increasingly important part of the U.S. economy. Climate change and energy supply concerns, volatile and increasing energy prices, and a desire for greater energy independence have led many state and national leaders to support an increasingly prominent role for energy efficiency in U.S. energy policy. The national economic recession has also helped to boost the visibility of energy efficiency, as part of a strategy to support economic recovery. We expect investment in energy efficiency to increase dramatically both in the near-term and through 2020 and beyond. This increase will come both from public support, such as the American Recovery and Reinvestment Act (ARRA) and significant increases in utility ratepayer funds directed toward efficiency, and also from increased private spending due to codes and standards, increasing energy prices, and voluntary standards for industry. Given the growing attention on energy efficiency, there is a concern among policy makers, program administrators, and others that there is an insufficiently trained workforce in place to meet the energy efficiency goals being put in place by local, state, and federal policy. To understand the likelihood of a potential workforce gap and appropriate response strategies, one needs to understand the size, composition, and potential for growth of the EESS. We use a bottom-up approach based upon almost 300 interviews with program administrators, education and training providers, and a variety of EESS employers and trade associations; communications with over 50 sector experts; as well as an extensive literature review. We attempt to provide insight into key aspects of the EESS by describing the current job composition, the current workforce size, our projections for sector growth through 2020, and key issues that may limit this growth.

Goldman, Charles; Fuller, Merrian C.; Stuart, Elizabeth; Peters, Jane S.; McRae, Marjorie; Albers, Nathaniel; Lutzenhiser, Susan; Spahic, Mersiha

2010-03-22T23:59:59.000Z

55

Tropical coasts are highly vulnerable to climatic pressures, the future impacts of which are projected to propagate  

E-Print Network [OSTI]

the resilience of the whole system. Risks related to climate change are frequently examined in isolation through of illustrating the potential impacts of climate change in a holistic and systemic way. An impact chain represents the climate change impact chains in tropical coastal areas based on a literature review of 289 papers. Impact

Boyer, Edmond

56

A Comment on \\The Cross-Section of Volatility and Expected Returns": The Statistical Signi  

E-Print Network [OSTI]

on "The Cross-Section of Volatility and Expected Returns":on The Cross-Section of Volatility and Expected Returns:the pricing of aggregate volatility risk and idiosyncratic

Anderson, Robert M.; Bianchi, Stephen W.; Goldberg, Lisa R.

2012-01-01T23:59:59.000Z

57

What to Expect When Readying to Move Spent Nuclear Fuel from...  

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

What to Expect When Readying to Move Spent Nuclear Fuel from Commercial Nuclear Power Plants What to Expect When Readying to Move Spent Nuclear Fuel from Commercial Nuclear Power...

58

Wind, Hydrogen and other Energy Technologies Similarities and Differences in Expectation Dynamics  

E-Print Network [OSTI]

Wind, Hydrogen and other Energy Technologies ­ Similarities and Differences in Expectation Dynamics But mostly a "storytelling" on expectations and wind energy Per Dannemand Andersen Head of Technology Scenarios research programme Risoe National Laboratory per.dannemand@risoe.dk #12;Expectations and Wind

59

ELICITING UTILITY FOR (NON)EXPECTED UTILITY PREFERENCES USING INVARIANCE TRANSFORMATIONS  

E-Print Network [OSTI]

ELICITING UTILITY FOR (NON)EXPECTED UTILITY PREFERENCES USING INVARIANCE TRANSFORMATIONS André DE,version1-15Sep2010 #12;Eliciting Utility for (Non)Expected Utility Preferences Using Invariance of (non)-expected utility theory. When individual preference satisfies a given invariance property, his

Paris-Sud XI, Université de

60

Economically rational expectations theory: evidence from the WTI oil price survey data  

E-Print Network [OSTI]

Economically rational expectations theory: evidence from the WTI oil price survey data Georges PRAT of the economically rational expectation theory, this article shows how an expert chooses an optimal oil price traditional processes explains satisfactorily oil price expectations, which appear to exert a stabilizing

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Standard Model expectations on sin2beta(phi_1) from b to s penguins  

E-Print Network [OSTI]

Recent results of the standard model expectations on sin2beta(phi_1) from penguin-dominated b to s decays are briefly reviewed.

Chun-Khiang Chua

2006-05-27T23:59:59.000Z

62

Essays on Three Price Judgments: Price Fairness, Price Magnitude, and Price Expectation.  

E-Print Network [OSTI]

??This dissertation addresses three important price judgments: price fairness, price magnitude, and price expectation. Developed over three chapters, the main objective of this research is (more)

Bhowmick, Sandeep

2010-01-01T23:59:59.000Z

63

Title of Dissertation: EXAMINING THE EFFECTS OF STUDENTS' CLASSROOM EXPECTATIONS ON  

E-Print Network [OSTI]

ABSTRACT Title of Dissertation: EXAMINING THE EFFECTS OF STUDENTS' CLASSROOM EXPECTATIONS classes. The first study uses a Likert-scale instrument, adapted from the Maryland Physics Expectations implications for how researchers should approach curricular reforms in the future. #12;EXAMINING THE EFFECTS

Maryland at College Park, University of

64

Neural Mechanisms of Interference Control in Working Memory: Effects of Interference Expectancy and Fluid  

E-Print Network [OSTI]

) Neural Mechanisms of Interference Control in Working Memory: Effects of Interference Expectancy and FluidNeural Mechanisms of Interference Control in Working Memory: Effects of Interference Expectancy and Fluid Intelligence Gregory C. Burgess1 *, Todd S. Braver2 1 Institute of Cognitive Science, University

65

Trends in life expectancy by education in Norway 19612009 O lof Anna Steingrimsdottir yvind Nss  

E-Print Network [OSTI]

MORTALITY Trends in life expectancy by education in Norway 1961­2009 O´ lo¨f Anna Steingri in life expectancy by education in Norway in the period 1961­2009, and to determine whether the patterns, 0403 Oslo, Norway e-mail: Olof.Anna.Steingrimsdottir@fhi.no ?. Næss Á J. O. Moe Department of Health

66

Background Paper -Research Workshop on Expectations in Science & Technology April 29 30, 2004, Ris, Denmark  

E-Print Network [OSTI]

or less explicit on the future rather than on the present or the past. The ability to discuss aspects, Risø, Denmark Expectations in Nanotechnology and in Energy ­ Foresight in the Sea of Expectations Mads of the future and to define the understanding of the future at present is central and of strategic importance

67

Comparison Of Expected Yields For Light Radioactive Beams At SPIRAL-1 And 2  

E-Print Network [OSTI]

Comparison Of Expected Yields For Light Radioactive Beams At SPIRAL-1 And 2 Saint-Laurent M of this contribution is the comparison of yields expected for light radioactive beams at SPIRAL-1 and after an upgrade, Switzerland. Abstract. Light-particles stable high-intensity beams (p, d, 3,4 He...) will be available from

Paris-Sud XI, Université de

68

Power and Effective Study Size Based on Approximations to the Expected Likelihood Ratio  

E-Print Network [OSTI]

Power and Effective Study Size Based on Approximations to the Expected Likelihood Ratio Test statistical power and precision of heritability estimates can be difficult particularly in complex pedigrees. Previous work focused on the power to detect heritability by using the expectation of the likelihood ratio

Washington at Seattle, University of

69

Community-Based Ecotourism to Meet the New Tourist's Expectations: An Exploratory Study  

E-Print Network [OSTI]

Community-Based Ecotourism to Meet the New Tourist's Expectations: An Exploratory Study Amélie of responsible travel. Alternative forms of tourism have been conceived, such as ecotourism, and are viewed as a mean to meet the expectations of the new tourists. Ecotourism is a method to satisfy the concern of new

Paris-Sud XI, Université de

70

Expected Productivity-Based Risk Analysis in Conceptual Design: With Application to the  

E-Print Network [OSTI]

of Philosophy Abstract During the design process, risk is mentioned often, but, due to the lackExpected Productivity-Based Risk Analysis in Conceptual Design: With Application to the Terrestrial;Expected Productivity-Based Risk Analysis in Conceptual Design: With Application to the Terrestrial Planet

71

Teacher trait anxiety, student evaluation apprehension and teacher expectancy for student performance: a possible arousal effect  

E-Print Network [OSTI]

. If this is so, negative expectancy could serve as a "non relaxer" or energizer. Given this possibility, if the results of this experiment were re-examined with low expectancy seen as an "energizer" and high expectancy as a "relaxer" and it is additionally... assumed that low teacher trait anxiety is a "relaxer" and high teacher trait anxiety is an "energizer"; the high scores do in fact occur under medium arousal (that is, "energizer"/"relaxer" condition and vice versa) rather than excessively high...

Grinnan, James Shepherd

1978-01-01T23:59:59.000Z

72

The determination of the customer needs and expectations of the Texas Department of Transportation construction operations  

E-Print Network [OSTI]

This thesis presents the development of a Total Quality Management model to identify, the customer needs and expectations of the Texas Department of Transportation (TXDOT) construction operations. The established mission and goals of the TXDOT have...

Garduno, Lauren Deon

1994-01-01T23:59:59.000Z

73

Sequence estimation in the presence of interference via the expectation-maximization algorithm  

E-Print Network [OSTI]

In this thesis, we developed a method for obtaining near-optimal sequence estimates in the presence of interference for direct sequence spread spectrum communication using the Expectation-Maximization (EM) algorithm. We assume binary phase shift...

Zhang, Quan G

1996-01-01T23:59:59.000Z

74

$6000 FUNDED INTERNSHIPS GCFSI sponsored internees are expected to work in developing countries on projects  

E-Print Network [OSTI]

$6000 FUNDED INTERNSHIPS GCFSI sponsored internees are expected to work in developing countries of food systems Areas of work include: population growth, climate change and pressure on the land, rapid

75

Training Strategies to Mitigate Expectancy-Induced Response Bias in Combat Identification: A Research Agenda  

SciTech Connect (OSTI)

Historical assessments of combat fratricide reveal principal contributing factors in the effects of stress, continuous operations or sleep deprivation, poor situational awareness, emotions, and lack of training. This paper discusses what and how improvements in combat identification (CID) may be achieved through training. In addition to skill-based training, CID training must focus on countering the negative effects of expectancy in the face of heightened anxiety and stressors of continuous operations that lead to combat errors or fratricide. The paper examines possible approaches to training for overcoming erroneous expectancies and emotional factors that may distort or limit accurate "blue force" identification.

Greitzer, Frank L.; Andrews, Dee H.

2008-04-15T23:59:59.000Z

76

Training Strategies to Mitigate Expectancy-Induced Response Bias in Combat Identification: A Research Agenda  

SciTech Connect (OSTI)

Historical assessments of combat fratricide reveal principal contributing factors in the effects of stress, continuous operations or sleep deprivation, poor situational awareness, emotions, and lack of training. This paper discusses what and how improvements in combat identification (CID) may be achieved through training. In addition to skill-based training, CID training must focus on countering the negative effects of expectancy in the face of heightened anxiety and stressors of continuous operations that lead to combat errors or fratricide. The paper examines possible approaches to training for overcoming erroneous expectancies and emotional factors that may distort or limit accurate "blue force" identification.

Greitzer, Frank L.; Andrews, Dee H.

2009-12-01T23:59:59.000Z

77

It's Too Complicated, So I Turned It Off! Expectations, Perceptions, and Misconceptions of  

E-Print Network [OSTI]

, and misconceptions of personal firewalls. Through a qualitative analysis of the data, we found that most of ourIt's Too Complicated, So I Turned It Off! Expectations, Perceptions, and Misconceptions of Personal Even though personal firewalls are an important aspect of security for the users of personal computers

78

Extended space expectation values of position related operators for hydrogen-like quantum system evolutions  

SciTech Connect (OSTI)

The expectation value definitions over an extended space from the considered Hilbert space of the system under consideration is given in another paper of the second author in this symposium. There, in that paper, the conceptuality rather than specification is emphasized on. This work uses that conceptuality to investigate the time evolutions of the position related operators' expectation values not in its standard meaning but rather in a new version of the definition over not the original Hilbert space but in the space obtained by extensions via introducing the images of the given initial wave packet under the positive integer powers of the system Hamiltonian. These images may not be residing in the same space of the initial wave packet when certain singularities appear in the structure of the system Hamiltonian. This may break down the existence of the integrals in the definitions of the expectation values. The cure is the use of basis functions in the abovementioned extended space and the sandwiching of the target operator whose expectation value is under questioning by an appropriately chosen operator guaranteeing the existence of the relevant integrals. Work specifically focuses on the hydrogen-like quantum systems whose Hamiltonians contain a polar singularity at the origin.

Kalay, Berfin; Demiralp, Metin [?stanbul Technical University, Informatics Institute, Maslak, 34469, ?stanbul (Turkey)

2014-10-06T23:59:59.000Z

79

WHAT SHOULD I EXPECT OF MY ADVISOR? Assistance in understanding the purposes,  

E-Print Network [OSTI]

WHAT SHOULD I EXPECT OF MY ADVISOR? Assistance in understanding the purposes, opportunities Colleges and Schools if I wish to gain more knowledge or change to one of them. WHAT SHOULD MY ADVISOR will explain to my Advisor any special circumstances that might impact on my academics, e.g. athletics

Arnold, Jonathan

80

Thus, rarer species may be more buffered from extinction than expected from neutral sampling  

E-Print Network [OSTI]

Thus, rarer species may be more buffered from extinction than expected from neutral sampling effects. However, time-lagged extinctions due to extinction debt may lead to additional species loss (31 species abundances, at least until future extinction debt is paid. References and Notes 1. M. Gaertner, A

Tong, Liang

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Actuarial risk assessment of expected fatalities attributable to carbon capture and storage in 2050  

E-Print Network [OSTI]

Actuarial risk assessment of expected fatalities attributable to carbon capture and storage in 2050-00487175,version2-10Feb2011 #12;1. Introduction Carbon capture and storage (CCS) involves capturing the CO2 is assessed integrating all steps of the CCS chain: additional coal production, coal transportation, carbon

82

Actuarial risk assessment of expected fatalities attributable to carbon capture and storage in 2050  

E-Print Network [OSTI]

1 Actuarial risk assessment of expected fatalities attributable to carbon capture and storage : 10.1016/j.ijggc.2011.07.004 #12;2 1. Introduction Carbon capture and storage (CCS) involves capturing of carbon and the cost of capture. From the engineering, psychological or climatic point of view, one

Paris-Sud XI, Université de

83

Sea level rise implications on shoreline changes: expectations from a retrospective analysis  

E-Print Network [OSTI]

Sea level rise implications on shoreline changes: expectations from a retrospective analysis Gonéri de Recherche et de Formation en Calcul Scientifique (Cerfacs) Sea level rise is a major consequence level rise is up to 3 times the global mean rate (estimated as 3.5 mm per year since the early 1990s

Paris-Sud XI, Université de

84

PISCES FY11 Research Highlight Tritium accumulation within the ITER vessel is expected to be dominated  

E-Print Network [OSTI]

PISCES FY11 Research Highlight Tritium accumulation within the ITER vessel is expected injected into the vessel. ITER has focused considerable effort into the ability to thermally remove tritium vessel. Another possible technique to mitigate tritium accumulation in these codeposited surfaces

85

QUANTUM ENERGY EXPECTATION IN PERIODIC TIME-DEPENDENT HAMILTONIANS VIA GREEN  

E-Print Network [OSTI]

QUANTUM ENERGY EXPECTATION IN PERIODIC TIME-DEPENDENT HAMILTONIANS VIA GREEN FUNCTIONS C´ESAR R. DE. Introduction 1 2. Average Energy and Green Functions 4 3. Applications 10 3.1. Time-Independent Hamiltonians 10(t). For each positive and discrete observable A (which we call a probe energy), we derive a formula

86

High resolution RCM simulation of eastern Mediterranean climate and its expected changes to 2050  

E-Print Network [OSTI]

High resolution RCM simulation of eastern Mediterranean climate and its expected changes to 2050. Modern global climate change evaluations usually based on application of coupled atmosphere-ocean global by the Intergovernmental Panel on Climate Change (IPCC). A number of different anthropogenic emission scenarios have been

Adler, Joan

87

3DEP in Kentucky by the Numbers Expected annual benefits $5.69 million  

E-Print Network [OSTI]

3DEP in Kentucky by the Numbers Expected annual benefits $5.69 million Estimated total cost $13.S. Geological Survey Fact Sheet 2014­3012 March 2014 The 3D Elevation Program--Summary for Kentucky Introduction of Kentucky, elevation data are critical for agriculture and precision farming, natural resources conservation

Torgersen, Christian

88

96 International THE WORLD IN 2OO5 he new millennium opened with great expectations.  

E-Print Network [OSTI]

through trade policy, increased official development assistance (oda) and technology transfer to extend96 International THE WORLD IN 2OO5 T he new millennium opened with great expectations. When 147 the benefits of globalisation and new technologies to the world's poorest people, with quantified targets

89

Some expected impacts of a solar energetic particle event at Mars  

E-Print Network [OSTI]

with the energy deposition due to other sources such as solar EUV/IR, solar wind protons and Martian energetic and molecules. We compare the atmospheric energy deposition due to the incident solar energetic particlesSome expected impacts of a solar energetic particle event at Mars F. Leblanc,1 J. G. Luhmann,2 R. E

California at Berkeley, University of

90

Moon's Radiation Environment and Expected Performance of Solar Cells during Future Lunar Missions  

E-Print Network [OSTI]

Several lunar missions are planned ahead and there is an increasing demand for efficient photovoltaic power generation in the moon. The knowledge of solar cell operation in the lunar surface obtained during early seventies need to be updated considering current views on solar variability and emerging space solar cell technologies. In this paper some aspects of the solar cell performance expected under variable lunar radiation environment during future space missions to moon are addressed. We have calculated relative power expected from different types of solar cells under extreme solar proton irradiation conditions and high lunar daytime temperature. It is also estimated that 2-3 % of annual solar cell degradation is most probable during the future lunar missions. We have also discussed photovoltaic power generation in long term lunar bases emphasizing technological needs such as sunlight concentration, solar cell cooling and magnetic shielding of radiation for improving the efficiency of solar cells in the l...

Girish, T E

2010-01-01T23:59:59.000Z

91

Moon's Radiation Environment and Expected Performance of Solar Cells during Future Lunar Missions  

E-Print Network [OSTI]

Several lunar missions are planned ahead and there is an increasing demand for efficient photovoltaic power generation in the moon. The knowledge of solar cell operation in the lunar surface obtained during early seventies need to be updated considering current views on solar variability and emerging space solar cell technologies. In this paper some aspects of the solar cell performance expected under variable lunar radiation environment during future space missions to moon are addressed. We have calculated relative power expected from different types of solar cells under extreme solar proton irradiation conditions and high lunar daytime temperature. It is also estimated that 2-3 % of annual solar cell degradation is most probable during the future lunar missions. We have also discussed photovoltaic power generation in long term lunar bases emphasizing technological needs such as sunlight concentration, solar cell cooling and magnetic shielding of radiation for improving the efficiency of solar cells in the lunar environment.

T. E Girish; S Aranya

2010-12-03T23:59:59.000Z

92

Energy conservation in dissipative processes: Teacher expectations and strategies associated with imperceptible thermal energy  

E-Print Network [OSTI]

Research has demonstrated that many students and some teachers do not consistently apply the conservation of energy principle when analyzing mechanical scenarios. In observing elementary and secondary teachers engaged in learning activities that require tracking and conserving energy, we find that challenges to energy conservation often arise in dissipative scenarios in which kinetic energy transforms into thermal energy (e.g., a ball rolls to a stop). We find that teachers expect that when they can see the motion associated with kinetic energy, they should be able to perceive the warmth associated with thermal energy. Their expectations are violated when the warmth produced is imperceptible. In these cases, teachers reject the idea that the kinetic energy transforms to thermal energy. Our observations suggest that apparent difficulties with energy conservation may have their roots in a strong and productive association between forms of energy and their perceptible indicators. We see teachers resolve these ch...

Daane, Abigail R; Vokos, Stamatis; Scherr, Rachel E

2014-01-01T23:59:59.000Z

93

Programmable AC power supply for simulating power transient expected in fusion reactor  

SciTech Connect (OSTI)

This paper focus on control engineering of the programmable AC power source which has capability to simulate power transient expected in fusion reactor. To generate the programmable power source, AC-AC power electronics converter is adopted to control the power of a set of heaters to represent the transient phenomena of heat exchangers or heat sources of a fusion reactor. The International Thermonuclear Experimental Reactor (ITER) plasma operation scenario is used as the basic reference for producing this transient power source. (authors)

Halimi, B. [Seoul National Univ., Seoul 151-744 (Korea, Republic of); Suh, K. Y. [Seoul National Univ., Seoul 151-744 (Korea, Republic of); PHILOSOPHIA, 1 Gwanak Ro, Gwanak Gu, Seoul 151-744 (Korea, Republic of)

2012-07-01T23:59:59.000Z

94

Essays on A Rational Expectations Model of Dividend Policy and Stock Returns  

E-Print Network [OSTI]

: + : : : : : : : : : : : : : : : : : : 87 4 V 0 and V 1 according to Increase in x : : : : : : : : : : : : : : : : : : 88 5 The Optimal Policy Functions Given xt: Model M : : : : : : : : : : 89 6 The Optimal Policy Functions Given zt: Model M : : : : : : : : : : 90 7 The Optimal Policy... Functions Given xt: Model Q : : : : : : : : : : : 91 8 The Optimal Policy Functions Given zt: Model Q : : : : : : : : : : : 92 9 Countercyclical Time-Varying Risks : : : : : : : : : : : : : : : : : : 93 10 Conditional Expected Market Returns and M...

Nam, Changwoo

2011-10-21T23:59:59.000Z

95

Quantum Energy Expectation in Periodic Time-Dependent hamiltonians via Green Functions  

E-Print Network [OSTI]

Let $U_F$ be the Floquet operator of a time periodic hamiltonian $H(t)$. For each positive and discrete observable $A$ (which we call a {\\em probe energy}), we derive a formula for the Laplace time average of its expectation value up to time $T$ in terms of its eigenvalues and Green functions at the circle of radius $e^{1/T}$. Some simple applications are provided which support its usefulness.

Cesar R. de Oliveira; Mariza S. Simsen

2009-07-31T23:59:59.000Z

96

The Influence of Weight Concerns and Weight Control Expectancies in the Smoking Behavior of Spanish Adolescents  

E-Print Network [OSTI]

smoking in college-student samples (Brandon & Baker, 1991, Downey & Kilbey, 1995) and in nicotine-dependent community samples (Copeland, Brandon & Quinn, 1995). Hine, Tilleczek, Lewko, McKenzie-Ritcher, & Perreault (2005) found that individuals who... smoking initiation to regular smoking (Chassin et al., 1981; Chassin, Presson, & Sherman, 1984). In addition, positive expectancies are linked to greater smoking rates, levels of nicotine dependence, and relapse after quitting (Copeland, Brandon...

Berrios-Hernandez, Mayra

2012-07-16T23:59:59.000Z

97

,"Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane Proved Reserves (Billion Cubic Feet)"Expected Future

98

,"California Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry Natural Gas Expected Future Production (Billion

99

New Mexico Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month Week 1 WeekExpected Future Production

100

Effects of Parent Expectations and Involvement on the School Readiness of Children in Head Start  

E-Print Network [OSTI]

EFFECTS OF PARENT EXPECTATIONS AND INVOLVEMENT ON THE SCHOOL READINESS OF CHILDREN IN HEAD START A Dissertation by KRYSTAL TISHA? COOK Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of children enrolled in Head Start. The study examined how these iv parent variables were related to children?s school readiness, and differences between ethnic groups, gender groups, and level of risk. The study tested a model whereby the effect...

Cook, Krystal Tisha'

2010-10-12T23:59:59.000Z

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Temperature Fluctuation and an Expected Limit of Hubble Parameter in the Self-Consistent Model  

E-Print Network [OSTI]

The temperature gradient of microwave background radiation (CMBR) is calculated in the Self Consistent Model. An expected values for Hubble parameter have been presented in two different cases. In the first case the temperature is treated as a function of time only, while in the other one the temperature depends on relaxation of isotropy condition in the self-consistent model and the assumption that the universe expands adiabatically. The COBE's or WMAP's fluctuations in temperature of CMBR may be used to predict a value for Hubble parameter.

A. B. Morcos

2004-12-08T23:59:59.000Z

102

,"California Federal Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry Natural Gas Expected Future ProductionCrude Oil

103

,"California State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry Natural Gas ExpectedWellheadCrude Oil + LeaseDry

104

,"Louisiana - South Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)" ,"Click worksheetDry Natural Gas Expected

105

,"North Dakota Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPrice SoldAnnual",2013Plant Liquids, Expected

106

Estimation and characterization of decontamination and decommissioning solid waste expected from the Plutonium Finishing Plant  

SciTech Connect (OSTI)

Purpose of the study was to estimate the amounts of equipment and other materials that are candidates for removal and subsequent processing in a solid waste facility when the Hanford Plutonium Finishing Plant is decontaminated and decommissioned. (Building structure and soil are not covered.) Results indicate that {approximately}5,500 m{sup 3} of solid waste is expected to result from the decontamination and decommissioning of the Pu Finishing Plant. The breakdown of the volumes and percentages of waste by category is 1% dangerous solid waste, 71% low-level waste, 21% transuranic waste, 7% transuranic mixed waste.

Millar, J.S.; Pottmeyer, J.A.; Stratton, T.J. [and others

1995-01-01T23:59:59.000Z

107

,"U.S. Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars perReserves (Billion CubicExpected Future Production

108

,"U.S. Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (DollarsLiquids Lease Condensate,Liquids, Expected Future

109

,"West Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves inDry Natural Gas Expected Future Production (Billion

110

,"West Virginia Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves inDry Natural GasPlant Liquids, Expected Future Production

111

Advisor's Agreement Worksheet This worksheet can be a means of communicating expectations of the organization-advisor relationship.  

E-Print Network [OSTI]

Advisor's Agreement Worksheet This worksheet can be a means of communicating expectations of the organization-advisor relationship. Both the advisor and the leaders of your organization should review each item. Organization leaders should check off your expectations of the advisor in the "Org" column

Maxwell, Bruce D.

112

The Role of Test Expectancy in the Build-Up of Proactive Interference in Long-Term Memory  

E-Print Network [OSTI]

The Role of Test Expectancy in the Build-Up of Proactive Interference in Long-Term Memory Yana the hypothesis that interpolated testing in a multiple list paradigm protects against proactive interference by sustaining test expectancy during encoding. In both experiments, recall on the last of 5 word lists

Szpunar, Karl K.

113

Expectation propagation for nonlinear inverse problems with an application to electrical impedance tomography  

SciTech Connect (OSTI)

In this paper, we study a fast approximate inference method based on expectation propagation for exploring the posterior probability distribution arising from the Bayesian formulation of nonlinear inverse problems. It is capable of efficiently delivering reliable estimates of the posterior mean and covariance, thereby providing an inverse solution together with quantified uncertainties. Some theoretical properties of the iterative algorithm are discussed, and the efficient implementation for an important class of problems of projection type is described. The method is illustrated with one typical nonlinear inverse problem, electrical impedance tomography with complete electrode model, under sparsity constraints. Numerical results for real experimental data are presented, and compared with that by Markov chain Monte Carlo. The results indicate that the method is accurate and computationally very efficient.

Gehre, Matthias, E-mail: mgehre@math.uni-bremen.de [Center for Industrial Mathematics, University of Bremen, Bremen D-28344 (Germany)] [Center for Industrial Mathematics, University of Bremen, Bremen D-28344 (Germany); Jin, Bangti, E-mail: bangti.jin@gmail.com [Department of Mathematics, University of California, Riverside, University Ave. 900, Riverside, CA 92521 (United States)] [Department of Mathematics, University of California, Riverside, University Ave. 900, Riverside, CA 92521 (United States)

2014-02-15T23:59:59.000Z

114

Optimal stopping of expected profit and cost yields in an investment under uncertainty  

E-Print Network [OSTI]

We consider a finite horizon optimal stopping problem related to trade-off strategies between expected profit and cost cash-flows of an investment under uncertainty. The optimal problem is first formulated in terms of a system of Snell envelopes for the profit and cost yields which act as obstacles to each other. We then construct both a minimal and a maximal solutions using an approximation scheme of the associated system of reflected backward SDEs. When the dependence of the cash-flows on the sources of uncertainty, such as fluctuation market prices, assumed to evolve according to a diffusion process, is made explicit, we also obtain a connection between these solutions and viscosity solutions of a system of variational inequalities (VI) with interconnected obstacles. We also provide two counter-examples showing that uniqueness of solutions of (VI) does not hold in general.

Djehiche, Boualem; Morlais, Marie Amlie

2010-01-01T23:59:59.000Z

115

Microbial Gas Generation Under Expected Waste Isolation Pilot Plant Repository Conditions: Final Report  

SciTech Connect (OSTI)

Gas generation from the microbial degradation of the organic constituents of transuranic (TRU) waste under conditions expected in the Waste Isolation Pilot Plant (WIPP) was investigated. The biodegradation of mixed cellulosic materials and electron-beam irradiated plastic and rubber materials (polyethylene, polyvinylchloride, hypalon, leaded hypalon, and neoprene) was examined. We evaluated the effects of environmental variables such as initial atmosphere (air or nitrogen), water content (humid ({approx}70% relative humidity, RH) and brine inundated), and nutrient amendments (nitogen phosphate, yeast extract, and excess nitrate) on microbial gas generation. Total gas production was determined by pressure measurement and carbon dioxide (CO{sub 2}) and methane (CH{sub 4}) were analyzed by gas chromatography; cellulose degradation products in solution were analyzed by high-performance liquid chromatography. Microbial populations in the samples were determined by direct microscopy and molecular analysis. The results of this work are summarized.

Gillow, J.B.; Francis, A.

2011-07-01T23:59:59.000Z

116

EXPECTED TRIGGER RATES OF HIGH PT JETS AND DIRECT PHOTONS IN THE STAR EMC.  

SciTech Connect (OSTI)

The STAR experiment at RHIC is a large acceptance detector. The electromagnetic calorimeter (EMC) will provide a sensitive trigger to study high p{sub t} jets and hard photons in AuAu, pp, and pAu collisions. The capability for the EMC to trigger on jets and direct photons was studied for trigger level 0. Trigger efficiencies and expected process rates were obtained for pp reactions. Results from pp interactions will be essential to the interpretation of AuAu results as well as for the spin physics program. These studies were performed with the standard STAR software chain which includes GEANT and EMC simulations. The HIJING event generator was used to provide input for the simulations.

BELT-TONJES,M. FOR THE STAR COLLABORATION

1999-03-21T23:59:59.000Z

117

Influences of aspirations and expectations on contest performance at the National FFA Agricultural Mechanics Career Development Event, 2001-2006  

E-Print Network [OSTI]

The purpose of this study was to examine how performance expectations influence contest performance at the National FFA Agricultural Mechanics Career Development Event. The population for this study included all participants at the national contest...

Clark, Travis Scott

2009-05-15T23:59:59.000Z

118

First laboratory perforating tests in coal show lower-than-expected penetration  

SciTech Connect (OSTI)

Worldwide Coal Bed Methane (CBM) resources are huge, estimated at 3,000 to 9,000 Tcf. The production rate from CBM reservoirs is low, perhaps 50-100 mcf/day. Various completion methods are being evaluated and new technologies are being developed with the aim of increasing production rates. Considering this interest and activity level, little attention has been paid to the CBM completion fundamentals. Perforating is a critical part of this process, especially considering the PRB development migration from single-coal, open-hole completions into multi-zone, cased-hole completions. This paper describes the first known laboratory-testing program to investigate shaped charge penetration in coal targets. We describe mechanical properties of the coals tested, and penetration results for different shaped charges (of different designs), shot at various stress conditions. CT scan and cutaway imaging of the perforation tunnels are also discussed. Tests were conducted under dry and saturated conditions. The preliminary experiments reported here indicate that shaped charge penetration in coal is significantly less than expected, considering the target's density and strength. The authors provide insight into what may be the reasons for these unexpected results and recommend a path forward for shaped charge testing, designs, predictive tools, and how to optimize CBM completions.

Snider, P.M.; Walton, I.C.; Skinner, T.K.; Atwood, D.C.; Grove, B.M.; Graham, C.

2008-06-15T23:59:59.000Z

119

Rapid emergence of hepatitis C virus protease inhibitor resistance is expected  

SciTech Connect (OSTI)

Approximately 170 million people worldwide are infected with hepatitis C virus (HCV). Current therapy, consisting of pegylated interferon (PEG-IFN) and ribavirin (RBV), leads to sustained viral elimination in only about 45% of patients treated. Telaprevir (VX-950), a novel HCV NS3-4A serine protease inhibitor, has demonstrated substantial antiviral activity in patients with chronic hepatitis C genotype 1 infection. However, some patients experience viral breakthrough during dosing, with drug resistant variants being 5%-20% of the virus population as early as day 2 after treatment initiation. Why viral variants appear such a short time after the start of dosing is unclear, especially since this has not been seen with monotherapy for either human immunodeficiency virus or hepatitis B virus. Here, using a viral dynamic model, we explain why such rapid emergence of drug resistant variants is expected when potent HCV protease inhibitors are used as monotherapy. Surprisingly, our model also shows that such rapid emergence need not be the case with some potent HCV NS5B polymerase inhibitors. Examining the case of telaprevir therapy in detail, we show the model fits observed dynamics of both wild-type and drug-resistant variants during treatment, and supports combination therapy of direct antiviral drugs with PEG-IFN and/or RBV for hepatitis C.

Rong, Libin [Los Alamos National Laboratory; Perelson, Alan S [Los Alamos National Laboratory; Ribeiro, Ruy M [Los Alamos National Laboratory

2009-01-01T23:59:59.000Z

120

Expected result of firing an ICE load on Z without vacuum.  

SciTech Connect (OSTI)

In addressing the issue of the determining the hazard categorization of the Z Accelerator of doing Special Nuclear Material (SNM) experiments the question arose as to whether the machine could be fired with its central vacuum chamber open, thus providing a path for airborne release of SNM materials. In this report we summarize calculations that show that we could only expect a maximum current of 460 kA into such a load in a long-pulse mode, which will be used for the SNM experiments, and 750 kA in a short-pulse mode, which is not useful for these experiments. We also investigated the effect of the current for both cases and found that for neither case is the current high enough to either melt or vaporize these loads, with a melt threshold of 1.6 MA. Therefore, a necessary condition to melt, vaporize, or otherwise disperse SNM material is that a vacuum must exist in the Z vacuum chamber. Thus the vacuum chamber serves as a passive feature that prevents any airborne release during the shot, regardless of whatever containment may be in place.

Savage, Mark Edward; Struve, Kenneth William; Lemke, Raymond William

2010-07-01T23:59:59.000Z

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


121

A new expected upper limit on the rare decay B(s) ---> mu+ mu- with the D0 experiment  

SciTech Connect (OSTI)

We present a new expected upper limit of the rare decay branching ratio B{sub s} {yields} {mu}{sup +}{mu}{sup -} using about 5 fb{sup -1} of Run II data collected with the D0 detector at the Tevatron. When setting limits on the branching ratio, selected events are normalized to reconstructed B{sup {+-}} {yields} J/{Psi}K{sup {+-}} events in order to decrease the systematic uncertainty. The resulting expected upper limit is {Beta}(B{sub s} {yields} {mu}{sup +}{mu}{sup -}) = 4.3(5.3) x 10{sup -8} at the 90% (95%) C.L.

Ripp-Baudot, Isabelle; /Strasbourg, IPHC

2009-01-01T23:59:59.000Z

122

What to Expect in Russia Princeton Professor Mark Beissinger and American Journalist in Moscow James Brooke Discuss The  

E-Print Network [OSTI]

What to Expect in Russia Princeton Professor Mark Beissinger and American Journalist in Moscow James Brooke Discuss The Future of Russia's Democracy Movement and the Return of Vladimir Putin Monday, NYC Come hear a lively discussion of trends changing Russia. After Vladimir Putin returns

Rowley, Clarence W.

123

INCOMING WIRE/ACH University units expecting to receive funds via wire or ACH (Automated Clearing House) should inform the  

E-Print Network [OSTI]

INCOMING WIRE/ACH University units expecting to receive funds via wire or ACH (Automated Clearing form. The Bursar's Office cannot properly record there funds until University units provide deposit Transmittal and fax the completed form to 706-583-0832. OUTGOING WIRES University units needing to wire funds

Arnold, Jonathan

124

EVOLVING EXPECTATIONS OF DAM REMOVAL OUTCOMES: DOWNSTREAM GEOMORPHIC EFFECTS FOLLOWING REMOVAL OF A SMALL, GRAVEL-FILLED DAM1  

E-Print Network [OSTI]

EVOLVING EXPECTATIONS OF DAM REMOVAL OUTCOMES: DOWNSTREAM GEOMORPHIC EFFECTS FOLLOWING REMOVAL downstream were virtually undetectable. One year after dam removal, substrates of bars and riffles within 400 m downstream of the dam coarsened and a dominance of gravel and cobble sediments replaced previously

Tullos, Desiree

125

Academic Integrity Office (AIO), Syracuse University, August 2014 Topics for Engaging Students in Discussion of Academic Integrity Expectations  

E-Print Network [OSTI]

@syr.edu. We will be posting additional articles on our website over the course of the academic year. #12;Academic Integrity Office (AIO), Syracuse University, August 2014 Topics for Engaging Students in Discussion of Academic Integrity Expectations 1. Why do students (and others) cheat? Is college cheating

Doyle, Robert

126

Expectations of Research Advisors 1. The advisor will be committed to the education and training of the graduate student to  

E-Print Network [OSTI]

Expectations of Research Advisors 1. The advisor will be committed to the education and training of the graduate student to facilitate his/her role as a future member of the scientific community. 2. The advisor will be committed to the research project of the graduate student. The advisor will assist the student with: a

Goldman, Steven A.

127

Application to the B.S./M.S. Program in Computer Science Solar ID number Expected bachelor's graduation date  

E-Print Network [OSTI]

Application to the B.S./M.S. Program in Computer Science Name Email Solar ID number Expected courses at Stony Brook. Applications must also include (i) a statement of purpose, (ii) a one or two-page resume, and (iii) two or three recommendation letters, at least one from a computer science faculty

Zadok, Erez

128

Dual Mechanisms of Cognitive Control: Interference Effects on Working Memory are Modulated by Expectancy and Fluid Intelligence  

E-Print Network [OSTI]

), proactive control mechanisms preferred · Fluid Intelligence (gF) · Fluid intelligence possibly relatedDual Mechanisms of Cognitive Control: Interference Effects on Working Memory are Modulated by Expectancy and Fluid Intelligence Gregory C. Burgess and Todd S. Braver Department of Psychology , Washington

Burgess, Greg

129

Academic Integrity Office (AIO), Syracuse University, August 2014 Topics for Engaging Students in Discussion of Academic Integrity Expectations  

E-Print Network [OSTI]

Academic Integrity Office (AIO), Syracuse University, August 2014 Topics for Engaging Students in Discussion of Academic Integrity Expectations 1. Giving students opportunities to hone their citation skills, paraphrase and quote from a source as well as relevant citation standards in each case. a. If writing

Doyle, Robert

130

Expected k-coverage in wireless sensor networks Li-Hsing Yen *, Chang Wu Yu, Yang-Min Cheng  

E-Print Network [OSTI]

communications and micro-sensing MEMS technology has enabled the deployment of wireless sensor networksExpected k-coverage in wireless sensor networks Li-Hsing Yen *, Chang Wu Yu, Yang-Min Cheng 2005 Available online 24 August 2005 Abstract We are concerned with wireless sensor networks where n

Chen, Sheng-Wei

131

As you think about where to go to college, we expect one of the big questions on your mind is this: "Will I fit in  

E-Print Network [OSTI]

As you think about where to go to college, we expect one of the big questions on your mind is this to college, we expect one of the big questions on your mind is this: "Will I fit in here?" Perhaps about where to go to college, we expect one of the big questions on your mind is this: "Will I fit

132

,"California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry Natural Gas ExpectedWellheadCrude

133

On some expectation and derivative operators related to integral representations of random variables with respect to a PII process  

E-Print Network [OSTI]

Given a process with independent increments $X$ (not necessarily a martingale) and a large class of square integrable r.v. $H=f(X_T)$, $f$ being the Fourier transform of a finite measure $\\mu$, we provide explicit Kunita-Watanabe and F\\"ollmer-Schweizer decompositions. The representation is expressed by means of two significant maps: the expectation and derivative operators related to the characteristics of $X$. We also provide an explicit expression for the variance optimal error when hedging the claim $H$ with underlying process $X$. Those questions are motivated by finding the solution of the celebrated problem of global and local quadratic risk minimization in mathematical finance.

Goutte, Stphane; Russo, Francesco

2012-01-01T23:59:59.000Z

134

,"California (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane Proved ReservesPricePrice (DollarsPlant Liquids, Expected

135

,"California--Coastal Region Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry Natural Gas ExpectedWellheadCrude OilCoastal

136

,"California--Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry Natural Gas ExpectedWellheadCrude OilCoastalLos

137

,"Federal Offshore--Texas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry NaturalCoalbedPlant Liquids, Expected Future

138

,"Texas - RRC District 1 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice SoldDry Natural Gas Expected Future

139

,"Texas - RRC District 3 Onshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice SoldDryDry Natural Gas Expected Future

140

,"Texas - RRC District 5 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice SoldDryDryDry Natural Gas Expected

Note: This page contains sample records for the topic "ivory coast-are expected" 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

,"Texas - RRC District 7B Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice SoldDryDryDryDry Natural Gas Expected

142

,"Texas - RRC District 9 Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPriceDry Natural Gas Expected Future

143

,"U.S. Federal Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars perReserves (Billion CubicExpected+ LeaseDry Natural Gas

144

Academic Expectations Presentation Introductions  

E-Print Network [OSTI]

Theater Music East Asian Languages & Cultures Health Policy & Management Art History Cinema Theater OnlineTools and Resources MinorsMinors Long-Term Plan At Orientation (Tomorrow) GroupAdvisement Computer Programs and Resources #12;Transition to USC and Viterbi Explore,Connect, Succeed! Orientation

Wang, Hai

145

EXPECTATIONS: Rush & Wendt  

E-Print Network [OSTI]

and Technical Assistance Needed Financial / Technical Assistance · Take into account the following needs Sed. Load (no BMP) BOD Load (no BMP) P Load (no BMP) N LOAD (no BMP) Water shed WITH BMPs LOADS: NO BMPS Sample Cost / Technical Assistance Matrix 319h$9,500DEQMonitor sediment load pre-post implement 20

146

MCZ 111215 1 Expectations!  

E-Print Network [OSTI]

! 5.4! 4.3! 3.0! 4.3! 3.2! H98! 1.5! 1.5! 1.8! 1.3! 1.3! 1.2! 1.3! 1.7! N! 2.8! 3.7! 1.7! 4.3! 5.5! 3.5 Duration limited by CD-efficiency & Beta ITER-like case with R0=7.5 m fCD=0.3 fCD=0.2 fCD=0.1 fCD=0 N=3 N=4 outstanding Issues and Risks, Plasma Issues for steady-state DEMOs Steady-state tokamaks Steady

147

JOBS? Raising Expectations  

E-Print Network [OSTI]

and Carl Van Horn at the John J. Heldrich Center for Workforce Development, J. Bloustein School of Planning Services & Workforce Division NGA Center for Best Practices MARCH 2011 #12;ii NGA CENTER | DEgREES fOR Wha, Human Services & Workforce Division of the NGA Center for Best Practices (NGA Center); Maria Heidkamp

Thaxton, Christopher S.

148

Seismic Design Expectations Report  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNGInternational Energy Agency |Award ofRenewable EnergySecurity &Seismic

149

Deviations from tribimaximal mixing due to the vacuum expectation value misalignment in A{sub 4} models  

SciTech Connect (OSTI)

The addition of an A{sub 4} family symmetry and extended Higgs sector to the standard model can generate the tribimaximal mixing pattern for leptons, assuming the correct vacuum expectation value alignment of the Higgs scalars. Deviating this alignment affects the predictions for the neutrino oscillation and neutrino mass observables. An attempt is made to classify the plethora of models in the literature, with respect to the chosen A{sub 4} particle assignments. Of these models, two particularly popular examples have been analyzed for deviations from tribimaximal mixing by perturbing the vacuum expectation value alignments. The effect of perturbations on the mixing angle observables is studied. However, it is only investigation of the mass-related observables (the effective mass for neutrinoless double beta decay and the sum of masses from cosmology) that can lead to the exclusion of particular models by constraints from future data, which indicates the importance of neutrino mass in disentangling models. The models have also been tested for fine-tuning of the parameters. Furthermore, a well-known seesaw model is generalized to include additional scalars, which transform as representations of A{sub 4} not included in the original model.

Barry, James; Rodejohann, Werner

2010-05-01T23:59:59.000Z

150

Load controller and method to enhance effective capacity of a photovotaic power supply using a dynamically determined expected peak loading  

DOE Patents [OSTI]

A load controller and method are provided for maximizing effective capacity of a non-controllable, renewable power supply coupled to a variable electrical load also coupled to a conventional power grid. Effective capacity is enhanced by monitoring power output of the renewable supply and loading, and comparing the loading against the power output and a load adjustment threshold determined from an expected peak loading. A value for a load adjustment parameter is calculated by subtracting the renewable supply output and the load adjustment parameter from the current load. This value is then employed to control the variable load in an amount proportional to the value of the load control parameter when the parameter is within a predefined range. By so controlling the load, the effective capacity of the non-controllable, renewable power supply is increased without any attempt at operational feedback control of the renewable supply. The expected peak loading of the variable load can be dynamically determined within a defined time interval with reference to variations in the variable load.

Perez, Richard (Delmar, NY)

2003-04-01T23:59:59.000Z

151

OSU Office of Institutional Research (KW) Expected-Updates-9-20-12.docx Strategic Plan: University Performance Metrics Academic Year 2011-12  

E-Print Network [OSTI]

Expenditures/3.1 The NSF Higher Education R&D (HERD) Survey administered each fall. Current updates/TT Faculty The NSF Higher Education R&D (HERD) Survey administered each fall. Current updates are expected Dollar The NSF Higher Education R&D (HERD) Survey administered each fall. Current updates are expected

Escher, Christine

152

Load controller and method to enhance effective capacity of a photovoltaic power supply using a dynamically determined expected peak loading  

DOE Patents [OSTI]

A load controller and method are provided for maximizing effective capacity of a non-controllable, renewable power supply coupled to a variable electrical load also coupled to a conventional power grid. Effective capacity is enhanced by monitoring power output of the renewable supply and loading, and comparing the loading against the power output and a load adjustment threshold determined from an expected peak loading. A value for a load adjustment parameter is calculated by subtracting the renewable supply output and the load adjustment parameter from the current load. This value is then employed to control the variable load in an amount proportional to the value of the load control parameter when the parameter is within a predefined range. By so controlling the load, the effective capacity of the non-controllable, renewable power supply is increased without any attempt at operational feedback control of the renewable supply.

Perez, Richard

2005-05-03T23:59:59.000Z

153

Text-Alternative Version: The L Prize-Winning LED A19 ReplacementWhat Commercial Building Owners/Operators Can Expect in 2012  

Broader source: Energy.gov [DOE]

Below is the text-alternative version of the "The L Prize-Winning LED A19 ReplacementWhat Commercial Building Owners/Operators Can Expect in 2012" webcast, held January 18, 2012.

154

where changes are expected to be most extensive, so we need to place these projected changes in the context of past Arctic climate  

E-Print Network [OSTI]

where changes are expected to be most extensive, so we need to place these projected changes the last century and the last millennium, and from model sim- ulations, that temperature changes tend records are very short (generally need for high

Bradley, Raymond S.

155

Impact of an apparent radiation embrittlement rate on the life expectancy of PWR (pressurized-water-reactor) vessel supports  

SciTech Connect (OSTI)

Recent data from the HFIR vessel surveillance program indicate a substantial radiation embrittlement rate effect at low irradiation temperatures (/approximately/120/degree/F) for A212-B, A350-LF3, A105-II and corresponding welds. PWR vessel supports are fabricated of similar materials and are subjected to the same low temperatures and fast neutron fluxes (10/sup 8/ /minus/ 10/sup 9/ n/cm/sup 2//center dot/s, E > 1.0 MeV) as those in the HFIR vessel. Thus, the embrittlement rate of these structures may be greater than previously anticipated. A study sponsored by the NRC is under way at ORNL to determine the impact of the rate effect on PWR vessel support life expectancy. The scope includes the interpretation and application of the HFIR data, a survey of all LWR vessel support designs, and a structural and fracture-mechanics analysis of the supports for two specific PWR plants of particular interest with regard to a potential for support failure as a result of propagation of flaws. Calculations performed for one of the plants indicate best-estimate critical flaw size corresponding to 32 EFPY, of /approximately/0.4 in. It appears that low-cycle fatigue is not a viable mechanism for creation of flaws of this size. Thus, presumably such flaws would have to exist at the time of fabrication. 19 refs., 8 figs., 3 tabs.

Cheverton, R.D.; Pennell, W.E.; Robinson, G.C.; Nanstad, R.K.

1989-01-01T23:59:59.000Z

156

Encountering racism in the ivory towers: a qualitative analysis of Latino student experiences in higher education  

E-Print Network [OSTI]

Currently, there is a significant gap in the literature on what Latino students are subjected to at predominately white universities regarding white racism and discrimination. If students of color face racism on university campuses, this could...

Parks, Kathrin Ann

2009-05-15T23:59:59.000Z

157

E-Print Network 3.0 - african ivory nut Sample Search Results  

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

Cameroon... Lesotho Sierra Leone Cape Verde Liberia Somalia Central African Rep Libya South Africa Chad Source: Grant, James D.E. - Fakultt fr Mathematik, Universitt Wien...

158

Ivory Coast-UNEP Risoe Technology Needs Assessment Program | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429 Throttled (botOpen Energy2005) | OpenIssaquenaItochu Corporation

159

Expectations on Documented Safety Analysis for Deactivated Inactive Nuclear Facilities in a State of Long Term Surveillance & Maintenance or Decommissioning  

SciTech Connect (OSTI)

DOE promulgated 10 CFR 830 ''Nuclear Safety Management'' on October 10, 2000. Section 204 of the Rule requires that contractors at DOE hazard category 1, 2, and 3 nuclear facilities develop a ''Documented Safety Analysis'' (DSA) that summarizes the work to be performed, the associated hazards, and hazard controls necessary to protect workers, the public, and the environment. Table 2 of Appendix A to the rule has been provided to ensure that DSAs are prepared in accordance with one of the available predetermined ''safe harbor'' approaches. The table presents various acceptable safe harbor DSAs for different nuclear facility operations ranging from nuclear reactors to decommissioning activities. The safe harbor permitted for decommissioning of a nuclear facility encompasses methods described in DOE-STD-1 120-98, ''Integration of Environment, Safety and Health into Facility Disposition Activities,'' and provisions in 29 CFR 1910.120 or 29 CFR 1926.65 (HAZWOPER). Additionally, an evaluation of public safety impacts and development of necessary controls is required when the facility being decommissioned contains radiological inventory or contamination exceeding the Rule's definition for low-level residual fixed radioactivity. This document discusses a cost-effective DSA approach that is based on the concepts of DOE-STD-I 120 and meets the 10 CFR 830 safe harbor requirements for both transition surveillance and maintenance as well as decommissioning. This DSA approach provides continuity for inactive Hanford nuclear facilities that will eventually transition into decommissioning. It also uses a graded approach that meets the expectations of DOE-STD-3011 and addresses HAZWOPER requirements to provide a sound basis for worker protection, particularly where intrusive work is being conducted.

JACKSON, M.W.

2002-05-01T23:59:59.000Z

160

Expectation-maximization algorithms for learning a finite mixture of univariate survival time distributions from partially specified class values  

SciTech Connect (OSTI)

Heterogeneity exists on a data set when samples from di#11;erent classes are merged into the data set. Finite mixture models can be used to represent a survival time distribution on heterogeneous patient group by the proportions of each class and by the survival time distribution within each class as well. The heterogeneous data set cannot be explicitly decomposed to homogeneous subgroups unless all the samples are precisely labeled by their origin classes; such impossibility of decomposition is a barrier to overcome for estimating #12;nite mixture models. The expectation-maximization (EM) algorithm has been used to obtain maximum likelihood estimates of #12;nite mixture models by soft-decomposition of heterogeneous samples without labels for a subset or the entire set of data. In medical surveillance databases we can find partially labeled data, that is, while not completely unlabeled there is only imprecise information about class values. In this study we propose new EM algorithms that take advantages of using such partial labels, and thus incorporate more information than traditional EM algorithms. We particularly propose four variants of the EM algorithm named EM-OCML, EM-PCML, EM-HCML and EM-CPCML, each of which assumes a specific mechanism of missing class values. We conducted a simulation study on exponential survival trees with five classes and showed that the advantages of incorporating substantial amount of partially labeled data can be highly signi#12;cant. We also showed model selection based on AIC values fairly works to select the best proposed algorithm on each specific data set. A case study on a real-world data set of gastric cancer provided by Surveillance, Epidemiology and End Results (SEER) program showed a superiority of EM-CPCML to not only the other proposed EM algorithms but also conventional supervised, unsupervised and semi-supervised learning algorithms.

Lee, Youngrok [Ames Laboratory

2013-05-15T23:59:59.000Z

Note: This page contains sample records for the topic "ivory coast-are expected" 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

DPhil Project (2012-16, 3.5 years CASE EPSRC funding expected) Ion-scale turbulence in MAST spherical tokamak: experimental data analysis  

E-Print Network [OSTI]

DPhil Project (2012-16, 3.5 years CASE EPSRC funding expected) Ion-scale turbulence in MAST provides free energy to feed plasma instabilities at the scale of ion Larmor motion and the turbulence, allowing a direct comparison of derived statistical measures, e.g., spatio-temporal correlation functions

Schekochihin, Alexander A.

162

Wind Energy EFA Wind energy has become a major source of clean energy. Wind energy is expected to grow over the next  

E-Print Network [OSTI]

Wind Energy EFA Wind energy has become a major source of clean energy. Wind energy is expected of wind energy fundamentals are needed to fill these jobs. The Wind Energy EFA prepares students for a career in wind energy, and allows for completing all requirements for the Certificate in Wind Energy

Kusiak, Andrew

163

SCIENTIFIC LEADERSHIP OPPORTUNITIES WITH THE NIH COMMON FUND The NIH Common Fund supports programs that are expected to have a transformative impact on  

E-Print Network [OSTI]

SCIENTIFIC LEADERSHIP OPPORTUNITIES WITH THE NIH COMMON FUND The NIH Common Fund supports programs that are expected to have a transformative impact on biomedical research as a whole (http://commonfund.nih across the spectrum of the NIH mission. With an annual budget of >$525 Million, the Common Fund

Baker, Chris I.

164

Neutral-plasma interactions are expected to have a significant influence on edge plasma conditions in the edge region of a tokamak plasma, and thus  

E-Print Network [OSTI]

Neutral-plasma interactions are expected to have a significant influence on edge plasma conditions in the edge region of a tokamak plasma, and thus on global plasma confinement. In particular, the particle source from ionization should be considered in the study of plasma transport within the H-mode pedestal

Hughes, Jerry

165

Use of groundwater lifetime expectancy for the performance assessment of a deep geologic radioactive waste repository:2. Application to a Canadian Shield environment  

E-Print Network [OSTI]

Cornaton et al. [2007] introduced the concept of lifetime expectancy as a performance measure of the safety of subsurface repositories, based upon the travel time for contaminants released at a certain point in the subsurface to reach the biosphere or compliance area. The methodologies are applied to a hypothetical but realistic Canadian Shield crystalline rock environment, which is considered to be one of the most geologically stable areas on Earth. In an approximately 10\\times10\\times1.5 km3 hypothetical study area, up to 1000 major and intermediate fracture zones are generated from surface lineament analyses and subsurface surveys. In the study area, mean and probability density of lifetime expectancy are analyzed with realistic geologic and hydrologic shield settings in order to demonstrate the applicability of the theory and the numerical model for optimally locating a deep subsurface repository for the safe storage of spent nuclear fuel. The results demonstrate that, in general, groundwater lifetime exp...

Park, Y -J; Normani, S D; Sykes, J F; Sudicky, E A

2011-01-01T23:59:59.000Z

166

Illustration of sampling-based approaches to the calculation of expected dose in performance assessments for the proposed high level radioactive waste repository at Yucca Mountain, Nevada.  

SciTech Connect (OSTI)

A deep geologic repository for high level radioactive waste is under development by the U.S. Department of Energy at Yucca Mountain (YM), Nevada. As mandated in the Energy Policy Act of 1992, the U.S. Environmental Protection Agency (EPA) has promulgated public health and safety standards (i.e., 40 CFR Part 197) for the YM repository, and the U.S. Nuclear Regulatory Commission has promulgated licensing standards (i.e., 10 CFR Parts 2, 19, 20, etc.) consistent with 40 CFR Part 197 that the DOE must establish are met in order for the YM repository to be licensed for operation. Important requirements in 40 CFR Part 197 and 10 CFR Parts 2, 19, 20, etc. relate to the determination of expected (i.e., mean) dose to a reasonably maximally exposed individual (RMEI) and the incorporation of uncertainty into this determination. This presentation describes and illustrates how general and typically nonquantitive statements in 40 CFR Part 197 and 10 CFR Parts 2, 19, 20, etc. can be given a formal mathematical structure that facilitates both the calculation of expected dose to the RMEI and the appropriate separation in this calculation of aleatory uncertainty (i.e., randomness in the properties of future occurrences such as igneous and seismic events) and epistemic uncertainty (i.e., lack of knowledge about quantities that are poorly known but assumed to have constant values in the calculation of expected dose to the RMEI).

Helton, Jon Craig (Arizona State University, Tempe, AZ); Sallaberry, Cedric J. PhD. (.; .)

2007-04-01T23:59:59.000Z

167

Induction of labour versus expectant management for nulliparous women over 35 years of age: a multi-centre prospective, randomised controlled trial  

E-Print Network [OSTI]

.walker@nuh.nhs.ukExpectant management i.e. awaiting spontaneous onse35 years of age: a multi-centre prospective, randomised controlled trial Kate F Walker1*, George Bugg1, Marion Macpherson1, Carol McCormick1, Chris Wildsmith2, Gordon Smith3 and Jim Thornton4 Abstract Background... admission required first fetal pH obtained Birth trauma Subdural haematoma Intracerebral or intraventricular haemorrhage Spinal-cord injury Basal skull fracture Peripheral-nerve injury present at discharge from hospitalLong bone fracture Seizures...

Walker, Kate F; Bugg, George; Macpherson, Marion; McCormick, Carol; Wildsmith, Chris; Smith, Gordon; Thornton, Jim

2012-12-11T23:59:59.000Z

168

Effect of different levels of technology upon expected yields, costs, and returns for major crops in Diamante Departamento, Entre Rios province, Argentina  

E-Print Network [OSTI]

EFFECT 0. . DIFFDHE!~ LEVELS OF TFCHNOLOOY UPON EXPECTED YIELDS' COS?S~ AND RETURNS FOH N&2OH CP OPS N DIA:"l i iTE PFEP ART J~~w"'TO ENTRE RIOS PROVINCE, fSQENTINA A Thesis FR', STO OSCAR iJBiRRi", CIM Suh?itted to the Grec?ate Colle... IN DIAMANTE DEPARTAMENTO, ENTRE BIOS PROVINCE~ ARGENTINA A Thesis by EHNESTO OSCAR ALRARRACIN Approved as to style and content by: (Cha1rman oi Committee) / j (Head of Department) . 7 (Member/. (Memb ) (Member) (Member) May 19/0 (Member...

Albarracin, Ernesto Oscar

1970-01-01T23:59:59.000Z

169

Smart Wire Grid: Resisting Expectations  

ScienceCinema (OSTI)

Smart Wire Grid's DSR technology (Discrete Series Reactor) can be quickly deployed on electrical transmission lines to create intelligent mesh networks capable of quickly rerouting electricity to get power where and when it's needed the most. With their recent ARPA-E funding, Smart Wire Grid has been able to move from prototype and field testing to building out a US manufacturing operation in just under a year.

Ramsay, Stewart; Lowe, DeJim

2014-04-09T23:59:59.000Z

170

Intention is commitment with expectation  

E-Print Network [OSTI]

of the rational balance between agents?? action and deliberation, and suggests the use of meansends reasoning in agent implementations. A rule-based reasoner in Jess facilitates evaluation of the predictiveness and intuitiveness of the theory, and provides a...

Creel, James Silas

2005-08-29T23:59:59.000Z

171

Smart Wire Grid: Resisting Expectations  

SciTech Connect (OSTI)

Smart Wire Grid's DSR technology (Discrete Series Reactor) can be quickly deployed on electrical transmission lines to create intelligent mesh networks capable of quickly rerouting electricity to get power where and when it's needed the most. With their recent ARPA-E funding, Smart Wire Grid has been able to move from prototype and field testing to building out a US manufacturing operation in just under a year.

Ramsay, Stewart; Lowe, DeJim

2014-03-03T23:59:59.000Z

172

Cooling towers among ivory towers : a comparative analysis of research universities, electricity consumption, and greenhouse gas emissions  

E-Print Network [OSTI]

The rationale for university sustainability and existing international agreements on sustainability in higher education are reviewed in the context of developing a model to determine the linkages between three environmental ...

Keegan, Brian C. (Brian Christopher)

2006-01-01T23:59:59.000Z

173

E-Print Network 3.0 - abia state nigeria Sample Search Results  

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

partners to engage... , with institution building in Nigeria, Benin, Sierra Leone, Ivory Coast, Niger, Cameroon, Burundi, Swaziland... , Ivory Coast, Kenya, Liberia, Malawi,...

174

How to stop the African elephant population from extermination; Causes, Achievements and Consequences.  

E-Print Network [OSTI]

?? Humans hunting for ivory has had a serious impact of the African elephant population. Ivory has throughout history been a symbol of manhood and (more)

Jansson, Lina

2006-01-01T23:59:59.000Z

175

Abstract -With its rich physical properties, the novel 2-D carbon-based material graphene is expected to play an important role in the advancement of semiconductor technologies. In a recent poll conducted by the International  

E-Print Network [OSTI]

-based material graphene is expected to play an important role in the advancement of semiconductor technologies. In a recent poll conducted by the International Technology Roadmap for Semiconductors (ITRS), graphene-dimensional material, graphene has a limited phase space for scattering of electrons; hence, the electrons in graphene

Fernndez-Juricic, Esteban

176

"The number of seniors with dementia in Saskatchewan is expected to nearly double in the next 30 years--from 17,000 now to 29,000 in 2038,"says Debra Morgan, Chair of Rural Health Delivery at the  

E-Print Network [OSTI]

THE ISSUE "The number of seniors with dementia in Saskatchewan is expected to nearly double ANG AMAKING AMAKING A Saskatchewan Health ResearchWith Impact The Rural and Remote Memory Clinic Debra providers and with in-kind support from Telehealth Saskatchewan, we designedtheRuralandRemoteMemory Clinic

Saskatchewan, University of

177

3/26/13 Section of brain does more than expected, Universityof Chicago scientists find -chicagotribune.com www.chicagotribune.com/health/ct-x-monkeys-processing-visual-information-0320-20130320,0,298755.story 1/3  

E-Print Network [OSTI]

- chicagotribune.com www.chicagotribune.com/health/ct-x-monkeys-processing-visual-information-0320 of brain does more than expected, Universityof Chicago scientists find - chicagotribune.com www.chicagotribune.com/health/ct-x-monkeys-processing and troubleshooting HOME PROTECTION PLANS From foundation to fixtures FESTIVAL OF HOMES Five financial things every

Freedman, David J.

178

Revue de presse ANGLAIS Semaine du 04 au 10 avril 2011  

E-Print Network [OSTI]

Abby Deveney) : Conflict continues in Libya, Ivory Coast and Yemen; no relief for Japan; the handbag

Rennes, Université de

179

SAMPLE EXPECTED LEARNING OUTCOMES STATEMENTSSAMPLE EXPECTED LEARNING OUTCOMES STATEMENTS The following pages depict some sample expected learning outcome statements from  

E-Print Network [OSTI]

the past and the present · Write an essay defining a pluralistic society and its relationship to our samples · List the primary, secondary and micro nutrients present in soil · Identify and describe land: · Describe the digestive system · Explain the steps involved in metabolism and the ways energy is derived

Rock, Chris

180

Academic Expectations Presentation Transfer Orientation 2010  

E-Print Network [OSTI]

Theater Music East Asian Languages & Cultures Health Policy & Management Art History Cinema TheaterYear Individual Appointments with departmental advisor OnlineTools and Resources Long-Term Planning Minors Requirements Registration and Advisement Programs and Resources #12;Transition to USC and Viterbi Explore

Wang, Hai

Note: This page contains sample records for the topic "ivory coast-are expected" 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

The USSR nuclear power: Expectation of renaissance  

SciTech Connect (OSTI)

When the Soviet specialists presented the data on the causes and consequences of the largest world nuclear accident to the world community in 1986 and even in a year after the Chernobyl catastrophe, they kept certain optimism concerning continuous steady implementation of the nuclear power projects in this country. However five post Chernobyl years have shown that the installed capacities of the Soviet NPPs increased only by 5GW. Basing on the most optimistic current estimations it can be said that by the turn of the century the total NPP capacity will not have reached even a third of 190 GW to which the Soviet nuclear program, adopted in the beginning of the 80s, was oriented. It should be pointed out that the cause of reduction in the program was not only canceling of the orders for new NPP construction but also stopped construction works even at the final stage of NPP erection. In the whole, research works, construction and extension of NPP were interrupted on 39 sites of total capacity 109 GW. Not going into a detailed analysis of the causes of this situation, it should be pointed out that deep economical and ecological prerequisites for maintenance and further development of the nuclear component in the fuel and energy balance of this country not only did not vanish but rather are growing in time in the forecasted economic situation.

Gagarinski, A.; Ponomarev-Stepnoi, N. (I.V. Kurchatov Institute of Atomic Energy, Kurchatov Square (Russian Federation))

1992-01-01T23:59:59.000Z

182

Essays on Expectations-Driven Business Cycles  

E-Print Network [OSTI]

Investment Adjustment Costs . . . . . . . . . . . . . . .returns-to-scale and no investment adjustment costs, =returns-to-scale and no investment adjustment costs, = 0:

Sirbu, Anca Ioana

2012-01-01T23:59:59.000Z

183

Baltimorethan you expect. f Baltimore's many nicknames,  

E-Print Network [OSTI]

performing at JHU's Chinese New Year celebration; Honfest; painted window screen of Patterson Park. I think that's why Baltimore is such a good place to live." -- John Waters, baltimore film director imitation of stone that covers brick roW homes throughout baltimore, as "the polyester of brick." #12;film

Niebur, Ernst

184

Renewable Energy Market Expectations and Trends Webinar  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy (DOE) Office of Indian Energy Policy and Programs, Office of Energy Efficiency and Renewable Energy Tribal Energy Program, and Western Area Power Administration (WAPA)...

185

Expectations for a New Climate Agreement  

E-Print Network [OSTI]

With the objective of stimulating timely and open discussion of the current attempt to formulate a new climate agreementto be reached at the 21st meeting of the Conference of Parties (COP-21) in Paris during November of ...

Jacoby, H.D.

186

Extending expectation propagation for graphical models  

E-Print Network [OSTI]

Graphical models have been widely used in many applications, ranging from human behavior recognition to wireless signal detection. However, efficient inference and learning techniques for graphical models are needed to ...

Qi, Yuan, 1974-

2005-01-01T23:59:59.000Z

187

Lowell, Massachusetts, Restaurant Exceeds Energy Savings Expectations...  

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

in a loan from the local lending consortium, the restaurant installed a new boiler, air conditioning and heating system, lighting fixtures, and an efficient refrigerator...

188

THE MAXIMAL EXPECTED LIFETIME OF BROWNIAN MOTION ...  

E-Print Network [OSTI]

Pitman (Advanced Publishing Program), Boston, Mass.-London. [2] R. Banuelos, 2009 Four unknown constants. Oberwolfach Report 06, workshop on'Low...

2010-06-17T23:59:59.000Z

189

Expectancy formation in philanthropic corporate advertising  

E-Print Network [OSTI]

of the philanthropic advertisement by presenting activities that supported the self-interest of the sponsor company (high prosocial congruency) or ones that appeared to be against the company's self-interests (low prosocial congruency). In addition, to examine whether...

Pool, Gregory James

1995-01-01T23:59:59.000Z

190

The Exact Theoretical Rational Expectations Monetary Aggregate  

E-Print Network [OSTI]

t. Hence (at,xt,At) can be chosen deterministically in a manner that assures that (at,xt,At) ? S(t) with certainty. However, that is not possible for s > t, since at the beginning of time period t, when the intertemporal decision is solved..., ..., as, ...,at+T; xt, ..., xs, ...,xt+T; At+T), where U is assumed to be intertemporally additively (strongly) separable, such that U = u( at, xt) + ( 11+? )u(at+1,xt+1) + ... ..... + ( 11+? )T-1 u(at+T-1,xt+T-1) + ( 1 1+? )T u(at+T,xt+T,At+T) = ? s=t t...

Barnett, William A.; Hinich, Melvin J.; Yue, Piyu

2000-06-01T23:59:59.000Z

191

Do Disaster Expectations Explain Household Portfolios?  

E-Print Network [OSTI]

durable ex- penditure information; and ?nally, the Panel Study of Income Dynamics (1983-1994) that allows me to calibrate group speci?c income process parameters. Limited het- 3 erogeneity in all parameters is allowed for by estimating the structural... innovations to excess return to be correlated with innovations to per- manent or transitory income in normal market times. Allowing for such a correlation is straightforward and would reduce the ex-ante disaster probability and disaster size needed to match...

Alan, Sule

192

Clare M. Wilkinson-Weber TAILORING EXPECTATIONS  

E-Print Network [OSTI]

liberalisation in India (Mazzarella, 2003, p. 5; Virdi, 2003, p. 201). My approach to consumption proceeds

193

EXPECTED LEARNING OUTCOMES PUBLIC POLICY MPPProgram Purpose  

E-Print Network [OSTI]

-FOCUSED ANALYSIS IN A REAL-WORLD, PROFESSIONAL ENVIRONMENT. THEY WILL BE ABLE TO: The Master of Public Policy (MPP in quantitative and statistical analysis, political processes, institutions and ethics, and economic principles the political realities associated implementing, and evaluating policy. a. Perform statistical analysis

Olsen Jr., Dan R.

194

Seismic Design Expectations Report | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartment of Energyof the Americas | DepartmentDepartment of EnergySecurity

195

Lowell, Massachusetts, Restaurant Exceeds Energy Savings Expectations |  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't HappenLow-Cost Production ofModeling Assessment |Department

196

Project Management Expectations for Financial Assistance Activities |  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power Systems Engineering Research and Development (PSEEnergy

197

Introduction of Afternoon Topics and Expectations  

Broader source: Energy.gov [DOE]

Appreciation and overview remarks by DOE Integrated Safety Management Co-champions Patricia R. Worthington, HSS Director, Office of Health and Safety, HS-10 and Ray J. Corey, Assistant Manager for Safety and Environment, DOE Richland Operations Office.

198

Ancient galactic magnetic fields stronger than expected  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone by E-mail ShareRed CrossAnPulsed-Voltageobservations|Ancient

199

Constraining scenarios of the soft/hard transition for the pion electromagnetic form factor with expected data of 12-GeV Jefferson Lab experiments and of the Electron-Ion Collider  

E-Print Network [OSTI]

It has been shown previously [PRD 88 (2013) 093005, arXiv:1310.1770] that a non-perturbative relativistic constituent-quark model for the $\\pi$-meson electromagnetic form factor allows for a quantitative description of the soft/hard transition, resulting in the correct Quantum-Chromodynamical asymptotics, including normalization, from the low-energy data without further parameter tuning. This happens universally whenever the constituent-quark mass is switched off. The energy range where the transition happens is therefore determined by the quark-mass running at intermediate energies and is not tightly constrained theoretically. Here we consider possible ways to pin down this energy range with coming experimental data. We demonstrate that expected experimental uncertainties of the 12-GeV Jefferson-Lab data are larger than the span of predictions of the model, so these data might be used for testing the model but not for determination of the soft/hard transition scale. Contrary, the projected Electron-Ion Colli...

Troitsky, S V

2015-01-01T23:59:59.000Z

200

E-Print Network 3.0 - applied mathematics research Sample Search...  

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

interests include Probability theory, Mathematical Statistics... and Computer Science, Ivory Coast General description of partner department ... Source: Burton, Geoffrey R. -...

Note: This page contains sample records for the topic "ivory coast-are expected" 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

The Vienna Archives: Musical Expropriations During the Nazi Era and 21st Century Ramifications  

E-Print Network [OSTI]

91) None Pair of ebony drumsticks, with gilt mounts Tamourinth century, with ebony drumstick with ivory head and boxwood

Shapreau, Carla

2014-01-01T23:59:59.000Z

202

Expected Economic Benefits of the El Morillo Drain  

E-Print Network [OSTI]

with conservation of approximately 900,000 acre feet of water annually. Abstract The study of the benefits (damages averted) attributable to the El Morillo Drain encompasses U.S. municipalities, industry, and agriculture. It is conservatively estimated... ......................................................................................................................... 2 Benefits .............................................................................................................................. 4 Municipal Impacts...

Lacewell, Ronald D.; Rister, M. Edward; Sturdivant, Allen W.; DuBois, Megan; Rogers, Callie; Seawright, Emily

2007-01-02T23:59:59.000Z

203

Estimating the expected latency to failure due to manufacturing defects  

E-Print Network [OSTI]

Manufacturers of digital circuits test their products to find defective parts so they are not sold to customers. Despite extensive testing, some of their products that are defective pass the testing process. To combat this problem, manufacturers...

Dorsey, David Michael

2004-09-30T23:59:59.000Z

204

alcohol expectancies integrating: Topics by E-print Network  

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

Conclusions: Currently, there is a lack of evidence for many of the barriers faced by patients in availing treatment for hepatitis C. Adherence to treatment routine was found...

205

alcohol outcome expectancies: Topics by E-print Network  

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

Background: Alcohol consumption, current injecting drug use, and pre-existing mental illness have been identified as 3 of the main reasons for excluding patients from...

206

Energy Efficiency Services Sector: Workforce Size and Expectations for Growth  

E-Print Network [OSTI]

the Massachusetts Energy Efficiency and Building ScienceSummer Study on Energy Efficiency in Buildings. The UnitedStudy on Energy Efficiency in Buildings. American Council

Goldman, Charles

2010-01-01T23:59:59.000Z

207

Styles of Political Representation: What do Voters Expect?  

E-Print Network [OSTI]

politics. Scandinavian Political Studies 9 (3): 279-90.Holmberg, Sren. (1989) Political representation in Sweden.Scandinavian Political Studies 12 Inglehart, Ronald. (2007)

Bengtsson, sa; Wass, Hanna

2009-01-01T23:59:59.000Z

208

Styles of Political Representation: What do Voters Expect?  

E-Print Network [OSTI]

elections of 2007 in Finland. Unpublished manuscript.Assistance. Statistics Finland. (2007) Eduskuntavaalit 2007,et al. 2005, 84). Finland is a particularly interesting case

Bengtsson, sa; Wass, Hanna

2009-01-01T23:59:59.000Z

209

1 INTRODUCTION Modern power plants are expected to operate at  

E-Print Network [OSTI]

sedimentation and the main mea- surements against reservoir sedimentation are well described (Morris et al of a research project studying the influences of pumping/turbine modes on turbulence, flow fields and suspended. For the measurement of flow velocities, Acoustic Doppler Current Profiler (ADCP) devices have been fixed

Floreano, Dario

210

ADJUSTING TO POLICY EXPECTATIONS IN CLIMATE CHANGE MODELING  

E-Print Network [OSTI]

is distributed, the relations between political factions are frequently antagonistic, and formal accountability

Risbey, James S.

211

An Expectation States Approach to Examining Medical Team Information Exchange  

E-Print Network [OSTI]

medical team research has reached a point where the linkages between information exchange, hierarchy, and team performance need to be clearly established. Several individual experiments demonstrate interesting findings, but the effects they display... 2010). Beyond that, teams are embedded in an ?encompassing organizational system, with boundaries and linkages to the broader system context and task environment? (Kozlowski and Ilgen 2006:79). That is, in the current research, teams are generally...

Manago, Bianca

2013-07-30T23:59:59.000Z

212

Energy Efficiency Services Sector: Workforce Size and Expectations for Growth  

E-Print Network [OSTI]

of Labor Statistics. Energy Efficiency Services Sector:Renewable Energy and Energy Efficiency: Economic Drivers forStatewide Long Term Energy Efficiency Strategic Plan. San

Goldman, Charles

2010-01-01T23:59:59.000Z

213

The impact of news on monetary policy expectations  

E-Print Network [OSTI]

? 2? w 2 Block-wise Metropolis-Hastings The joint posteriorjoint posterior for (?, ?, X) is again random-scan block-joint prior: P (?, X|Y ) ? P (Y |?, X)P (X|?)P (?) A block-

Bauer, Michael Dominic

2010-01-01T23:59:59.000Z

214

Adaptation and adaptability : expectant design for resilience in coastal urbanity  

E-Print Network [OSTI]

What is the nature of and possibility for urban resiliency through adaptation? Adaptation implies responsiveness to phenomena that are disruptive to a system's functioning; it is a willful evolution in response to changed ...

Ruskeep, Laura A. Delaney (Laura Ashley Delaney)

2011-01-01T23:59:59.000Z

215

System expectations for Pioneer I foil implosion experiments  

SciTech Connect (OSTI)

Prior to the beginning of the Pioneer I shot of the Los Alamos National Laboratory TRAIL-MASTER project, numerous computational simulations were run to provide ball-park estimates for the electrical currents and voltages in the circuit, the timing of the implosion, the kinetic energy, temperature, and radiation output of the load. The purpose of these calculations was to provide guidance in setting the timings of the various switches within the circuit and to establish operating ranges for the various diagnostics.

Greene, A.E.; Brownell, J.H.; Caird, R.S.; Erickson, D.J.; Goforth, J.H.; Lindemuth, I.R.; Oliphant, T.A.; Weiss, D.L.

1985-01-01T23:59:59.000Z

216

Markov Decision Evolutionary Games with Expected Average Fitness  

E-Print Network [OSTI]

control in wireless networks, we show existence of an Occupation Measure ESS (OMESS). Keywords Stable Strategy (ESS) introduced by Maynard Smith & Price in 1973. ESS is a distribution of (deter. This notion is stronger than that of Nash equilib- rium as ESS is robust against a deviation of a whole

217

Energy Efficiency Services Sector: Workforce Size and Expectations for Growth  

E-Print Network [OSTI]

2009a. Green Jobs & Energy Market Trends Relevant Trends,Engineers 2009a. Energy Independence and Market Trends: AEEFace of Energy Efficiency and Market Transformation.

Goldman, Charles

2010-01-01T23:59:59.000Z

218

The impact of news on monetary policy expectations  

E-Print Network [OSTI]

2.3.1 Econometric methodology . . . . . . . . . . . . .and F. Pegoraro, Econometric Asset Price Modelling,Methods in Econometrics, Econometric Theory, Aug 1996, 12 (

Bauer, Michael Dominic

2010-01-01T23:59:59.000Z

219

Expected Future Value Decomposition Based Bid Price Generation ...  

E-Print Network [OSTI]

Each root-to-leaf path in the tree represents one specific scenario and ..... In terms of the input data used by each model, in simulation period ts, PH uses the.

2009-11-15T23:59:59.000Z

220

asynchronous bounded expected: Topics by E-print Network  

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

a Robot Vehicle James L. Crowley Patrick Cartesian coordinate space. In the same sense, robot vehicles require a "vehicle controller" to command. This paper presents the design of...

Note: This page contains sample records for the topic "ivory coast-are expected" 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

What Does Industry Expect From An Electrical Utility  

E-Print Network [OSTI]

The electric utility industry is an important supplier to Union Carbide and as such must become a proactive participant in our quality programs which are aimed at continuous improvement in everything we do. The essential ingredients in the supplier...

Jensen, C. V.

222

Mitigating Climate Change with Managed Forests: Balancing Expectations,  

E-Print Network [OSTI]

and biomass energy) and di- rect substitution for more energy-intensive building mate- rials (e.g., concrete. Carbon markets may in the future offer some potential for com- pensating forest landowners for actions Climate Action Registry, and Regional Greenhouse Gas Initiative), some managed forest projects may prove

Vermont, University of

223

Worst-case-expectation approach to optimization under uncertainty  

E-Print Network [OSTI]

instance, Figure 2 shows the historical demand values and the forecast ... These errors were computed considering the forecast demand for the first year of.

2012-10-30T23:59:59.000Z

224

Neutrino masses and Neutrinoless Double Beta Decay: Status and expectations  

E-Print Network [OSTI]

Two most outstanding questions are puzzling the world of neutrino Physics: the possible Majorana nature of neutrinos and their absolute mass scale. Direct neutrino mass measurements and neutrinoless double beta decay (0nuDBD) are the present strategy to solve the puzzle. Neutrinoless double beta decay violates lepton number by two units and can occurr only if neutrinos are massive Majorana particles. A positive observation would therefore necessarily imply a new regime of physics beyond the standard model, providing fundamental information on the nature of the neutrinos and on their absolute mass scale. After the observation of neutrino oscillations and given the present knowledge of neutrino masses and mixing parameters, a possibility to observe 0nuDBDD at a neutrino mass scale in the range 10-50 meV could actually exist. This is a real challenge faced by a number of new proposed projects. Present status and future perpectives of neutrinoless double-beta decay experimental searches is reviewed. The most important parameters contributing to the experimental sensitivity are outlined. A short discussion on nuclear matrix element calculations is also given. Complementary measurements to assess the absolute neutrino mass scale (cosmology and single beta decays) are also discussed.

Oliviero Cremonesi

2010-02-07T23:59:59.000Z

225

New expectations and uncertainties on Neutrinoless Double Beta Decay  

E-Print Network [OSTI]

The discovery of neutrino oscillations and its implication that neutrinos have mass have boosted the importance of neutrinoless double beta decay. Neutrinoless double beta decay offers unique chances to investigate the nature of the neutrino mass term, giving also information on the absolute scale and the mass hierarchy, assuming that neutrinos are Majorana particles. We study the Majorana Effective Mass, i. e. the crucial parameter that regulates the rate of the neutrinoless double beta decay due to light neutrino exchange. We update the previous estimations of this parameter, using the most recent data analysis, phase space factors and nuclear matrix elements. We evaluate the impact of the quenching in the nuclear medium of the axial vector coupling constant, as discussed by Iachello and collaborators. We provide estimations of the sensitivity of recent and future neutrinoless double beta decay experiments in terms of the Majorana Effective Mass. Finally, we discuss the possibility of taking advantage of th...

Dell'Oro, Stefano; Vissani, Francesco

2014-01-01T23:59:59.000Z

226

Expectations of land value in rural and suburban regions  

E-Print Network [OSTI]

Timberland has become a new and emerging asset class among investors. Institutional investors have committed large amounts of capital through the private equity market. Timber real estate investment trusts (REITs) have ...

Carlson, Dianna Marie

2005-01-01T23:59:59.000Z

227

Energy Efficiency Services Sector: Workforce Size and Expectations for Growth  

E-Print Network [OSTI]

energy efficiency is refracted across utilities, federal and state programs, manufacturing, construction, and other disparate job classifications.

Goldman, Charles

2010-01-01T23:59:59.000Z

228

The Impact of Structural Genomics: Expectations and Outcomes  

E-Print Network [OSTI]

Choi et al. , J Struct Funct Genomics 4, 31-4 (2003). H. M.Center for Structural Genomics, sequence families of unknownMCSG) Northeast Structural Genomics Consortium, Novel folds

Chandonia, John-Marc; Brenner, Steven E.

2005-01-01T23:59:59.000Z

229

Clinical trials of radiosensitizers: what should we expect  

SciTech Connect (OSTI)

The lack of positive results from the clinical trials undertaken so far with misonidazole (MISO) are widely considered as disappointing. This is leading to a growing sentiment that hypoxic cells may not be a significant limitation to local control of human tumors. To examine whether this is a reasonable conclusion, the relevant in vitro and in vivo data have been summarized so that predictions of the extent of radiosensitization of the hypoxic cells can be made from a knowledge of the clinically achievable levels of MISO. The in vitro and in vivo data with radiosensitizers suggest that only a small effect, if any, is likely to be demonstrated in the clinical trials with MISO, even for those tumors the control of which is limited by hypoxic cells. Thus the question of whether hypoxic cells may or may not limit the local control of tumors by radiotherapy has not been addressed adequately by the presently available radiosensitizing drugs.

Brown, J.M.

1984-03-01T23:59:59.000Z

230

Learning with Heterogeneous Expectations in an Evolutionary World  

E-Print Network [OSTI]

postdoctoral fellow at the Research Unit on Economic Structures and Growth (RUESG), Department of Economics, University of Helsinki. Financial support from the Academy of Finland, Yrj Jahnsson Foundation, Bank of Finland and Nokia Group is gratefully...

Guse, Eran A

2006-03-14T23:59:59.000Z

231

NRC Leadership Expectations and Practices for Sustaining a High...  

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

16, 2012 Presenter: William C. Ostendorff, NRC Commissioner Topics Covered: NRC Mission Safety Culture NRC Oversight NRC Inspection Program Technical Qualification Continuous...

232

SEGMENTATION OF VERTEBRAE USING LEVEL SETS WITH EXPECTATION MAXIMIZATION ALGORITHM  

E-Print Network [OSTI]

Processing Lab., Louisville, KY, 40299, USA 2 Image Analysis, Inc., 1380 Burkesville St., Columbia, KY, 42728, USA ABSTRACT In this paper, we propose a robust level sets method to seg- ment vertebral bodies (VBs (EM) algorithm for the initialization and pa- rameter estimation. Validity was analyzed using ground

Louisville, University of

233

Energy Efficiency Services Sector: Workforce Size and Expectations for Growth  

E-Print Network [OSTI]

Workforce data for 2008 provided by 23 interviewed program implementation contractors and 11 efficiency program planning

Goldman, Charles

2010-01-01T23:59:59.000Z

234

Utah Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYear Jan MonthlyProduction (Billion

235

Utah Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYear Jan MonthlyProduction%

236

Utah and Wyoming Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYear JanWellhead Price (DollarsProduction(Million

237

West Virginia Dry Natural Gas Expected Future Production (Billion Cubic  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYearFeet) Year JanProved

238

West Virginia Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinterYearFeet) YearProductionElements)(Million

239

Wyoming Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, WetReserves

240

Wyoming Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved Reserves (Billion Cubic Feet) Associated-DissolvedDecade

Note: This page contains sample records for the topic "ivory coast-are expected" 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

NRC Leadership Expectations and Practices for Sustaining a High Performing  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalanced Scorecard Federal2 to:Diesel Engines|ForeignNNSAFluorOrganization |

242

Texas (with State Offshore) Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousandProcessed (Million Cubic(Million

243

Texas State Offshore Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved1 4.70 1967-2010Cubic Feet) Dry Natural

244

Quality Control, Standardization of Upgrades, and Workforce Expectations |  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Careerlumens_placard-green.epsEnergy1.pdfMarket37963 Vol.Department ofchecklistpurpose

245

Alabama (with State Offshore) Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquids Reserve3.Revenue3 Oiland

246

Alaska (with Total Offshore) Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYear Jan Feb MarFeet)Based

247

Alaska Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYear Jan FebProved Reserves (BillionCrude

248

Arkansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYear JanYearVented and

249

Arkansas Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYear JanYearVentedYear Jan FebYear

250

California (with State Offshore) Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReservesm 3 (D CD

251

California - Coastal Region Onshore Dry Natural Gas Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReservesm 3 (DFeet)

252

California - Los Angeles Basin Onshore Dry Natural Gas Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReservesm 3

253

California - San Joaquin Basin Onshore Dry Natural Gas Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReservesm 3Separation

254

California Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReservesm

255

California Federal Offshore Dry Natural Gas Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReservesmDecade Year-0 Year-1(Billion

256

California State Offshore Dry Natural Gas Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87 1967-2010 Imports 2.83 4.76 3.57per(Million(Billion

257

California--Coastal Region Onshore Natural Gas Plant Liquids, Expected  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87 1967-2010 Imports 2.83 4.76Separation, ProvedFuture

258

California--State Offshore Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87 1967-2010 Imports 2.83(MillionFeet)

259

Federal Offshore--California Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansion and ChangeProduction (Million

260

Federal Offshore--Texas Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansion

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Florida Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansion 5 FigureReserves in

262

Florida Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansion 5 FigureReservesYear

263

Kansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review WYear Jan Feb Mar Apr

264

Kansas Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review WYear Jan Feb MarDecade

265

Kentucky Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review WYear JanFeet) Year JanYear Jan

266

Louisiana (with State Offshore) Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422Year Jan

267

Louisiana - North Dry Natural Gas Expected Future Production (Billion Cubic  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422Year

268

Louisiana - South Onshore Dry Natural Gas Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213 136,422Year(Billion(Million(Billion

269

Louisiana Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213Separation, Proved ReservesCrude

270

Louisiana State Offshore Dry Natural Gas Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year in Review1,213Separation,Year(Billion Cubic

271

Louisiana--North Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year inBarrels) Crude Oil Reserves in(Million

272

Louisiana--South Onshore Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year inBarrels) Crude Oil

273

Louisiana--State Offshore Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year inBarrels) Crude OilShaleReservesProduction

274

Lower 48 Federal Offshore Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year inBarrels) CrudeMarketed

275

Lower 48 States Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year inBarrels)Barrels) Reserves(Million

276

Michigan Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2 Macro-IndustrialFeet)+Year Jan

277

Miscellaneous States Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand CubicYear Jan FebBarrels)Cubic

278

Miscellaneous States Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand CubicYear Jan(Million Barrels)

279

Mississippi (with State Offshore) Natural Gas Plant Liquids, Expected  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand CubicYearFuture Production (Million

280

Mississippi Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per Thousand CubicYearFuture

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Montana Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per ThousandWellhead+ LeaseFeet)Year Jan

282

North Dakota Dry Natural Gas Expected Future Production (Billion Cubic  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month WeekReserves (BillionYear JanFeet)

283

North Dakota Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month WeekReservesYear Jan Feb Mar Apr May Jun

284

Oklahoma Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month WeekReservesYear JanFeet)Barrels)

285

Pennsylvania Dry Natural Gas Expected Future Production (Billion Cubic  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-MonthCoalbed Methane Proved ReservesFeet)

286

Loan Guarantees for Three California PV Solar Plants Expected...  

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

across the country. Combined, the projects will produce 1330 Megawatts of installed solar power -- enough electricity to power about 275,000 homes. Building on the momentum of...

287

Prospects, technology outlook and expectations AMOS Kick-off Seminar  

E-Print Network [OSTI]

... Offshore oil & gas moving to harsher environments: deep and ultra deep waters, high pressure high to distribute to the ships than LNG (extracted from existing gas distribution grids) Twice tank volume as LNG... Developments in the Arctic - Smaller and thinner ice cap due to global warming - Exploitation of fisheries, oil

Nørvåg, Kjetil

288

Expectations for Oil Shale Production (released in AEO2009)  

Reports and Publications (EIA)

Oil shales are fine-grained sedimentary rocks that contain relatively large amounts of kerogen, which can be converted into liquid and gaseous hydrocarbons (petroleum liquids, natural gas liquids, and methane) by heating the rock, usually in the absence of oxygen, to 650 to 700 degrees Fahrenheit (in situ retorting) or 900 to 950 degrees Fahrenheit (surface retorting). (Oil shale is, strictly speaking, a misnomer in that the rock is not necessarily a shale and contains no crude oil.) The richest U.S. oil shale deposits are located in Northwest Colorado, Northeast Utah, and Southwest Wyoming. Currently, those deposits are the focus of petroleum industry research and potential future production. Among the three states, the richest oil shale deposits are on federal lands in northwest Colorado.

2009-01-01T23:59:59.000Z

289

Experimental Tests of Cooling: Expectations and Additional Needs  

E-Print Network [OSTI]

of established techniques for cooling a beam, the choice forionization cooling is a viable technique. The large initialionization cooling, so an experimental test of the technique

Zisman, Michael S

2008-01-01T23:59:59.000Z

290

Energy Efficiency Services Sector: Workforce Size and Expectations for Growth  

E-Print Network [OSTI]

Programs 2008. Weatherization Assistance Program PY 2007si.asp? id=1198. Weatherization Assistance Program Technicalid=1275 . Weatherization Assistance Program Technical

Goldman, Charles

2010-01-01T23:59:59.000Z

291

Common Mathematical Foundations of Expected Utility and Dual ...  

E-Print Network [OSTI]

distributions, and their convex combinations correspond to lotteries. The dual utility theory uses convex combinations of comonotonic real random variables,...

2012-11-24T23:59:59.000Z

292

GOALS, EXPECTATIONS, AND SATISFACTION IN THE MAINTENANCE OF WEIGHT LOSS  

E-Print Network [OSTI]

, gallbladder disease, respiratory dysfunction, gout, osteoarthritis, and certain cancers (Fontaine, Redden, Wang, Westfall, & Allison, 2003; Must et al., 1999). Obesity is attributable to an estimated 112,000 to 280,000 deaths in the United States each year... various interventions, such as very low calorie 3 diets and pharmacotherapy, with behavior modification to accomplish more significant weight losses (Brownell, 1982; Brownell & Wadden, 1986; 1992). Thus, the philosophy of obesity treatment...

Chang, Olivia L.

2009-08-19T23:59:59.000Z

293

Indoctrinating Subcontractors into the DOE Safety Culture and Expectations  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAX POLICIES7.pdfFuel2007 | Department of EnergyFacility -AlaskaIndianaDepartment|

294

Property:EZFeed/ExpectedCapacity | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformationInyoCoolingTowerWaterUseSummerConsumed JumpMoverNercErcot Jump to:NercSppRtoSpp

295

Colorado Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87 1967-2010

296

Expected annual electricity bill savings for various PPA price options |  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Power Basics (TheEtelligence (Smart Grid Project)Company (Pennsylvania) Jump

297

Liners and Covers: Field Performance & Life Expectancy | Department of  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG | DepartmentEnergy InvitationLegalto CommercializationTop RightEnergy

298

E-Print Network 3.0 - asmara district eritrea Sample Search Results  

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

1, 2011) Summary: Colombia East Timor Eritrea Ethiopia Haiti Iran Iraq - Kurdish Region Ivory Coast Lebanon Libya Saudi Source: Warkentin, Ian G. - Department of Biology, Memorial...

299

Research news from Swansea University Issue 12 : October 2013  

E-Print Network [OSTI]

of Momentum. If you're looking for evidence that our academics are in an ivory tower, then you needn't read "Standing like tombstones in a forgotten cemetery, these are lead halide perovskite solar cells are sometimes accused of being ivory towers, cut off from the real world. At Swansea, nothing could be further

Harman, Neal.A.

300

On the relation between expected returns and implied cost of capital  

E-Print Network [OSTI]

coef?cient estimate on implied cost of capital to be biased.the implied cost of capital literature estimates of the exestimates of ex ante risk premiums inferred from implied cost of capital

Hughes, John; Liu, Jing; Liu, Jun

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "ivory coast-are expected" 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

The Effect of Dividends Tax and Tax Integration on Stock Ownership and Expected Returns: Evidence from  

E-Print Network [OSTI]

can shed light on fundamental issues such as the cost of equity capital and the optimal dividend and firm value. Taiwanese individual-shareholder shareholding data allows us to estimate the weighted the traditional view of dividend tax capitalization effect and the implications of the role of marginal investors

Lin, Xiaodong

302

Surpassing Expectations: State of the U.S. Wind Power Market  

E-Print Network [OSTI]

The Annual Report on U.S. Wind Power Installation, Cost, andState of the U.S. Wind Power Market Intro Sidebar: The U.S.Annual Report on U.S. Wind Power Installation, Cost, and

Bolinger, Mark A

2009-01-01T23:59:59.000Z

303

Characterization of decontamination and decommissioning wastes expected from the major processing facilities in the 200 Areas  

SciTech Connect (OSTI)

This study was intended to characterize and estimate the amounts of equipment and other materials that are candidates for removal and subsequent processing in a solid waste facility when the major processing and handling facilities in the 200 Areas of the Hanford Site are decontaminated and decommissioned. The facilities in this study were selected based on processing history and on the magnitude of the estimated decommissioning cost cited in the Surplus Facilities Program Plan; Fiscal Year 1993 (Winship and Hughes 1992). The facilities chosen for this study include B Plant (221-B), T Plant (221-T), U Plant (221-U), the Uranium Trioxide (UO{sub 3}) Plant (224-U and 224-UA), the Reduction Oxidation (REDOX) or S Plant (202-S), the Plutonium Concentration Facility for B Plant (224-B), and the Concentration Facility for the Plutonium Finishing Plant (PFP) and REDOX (233-S). This information is required to support planning activities for current and future solid waste treatment, storage, and disposal operations and facilities.

Amato, L.C.; Franklin, J.D.; Hyre, R.A.; Lowy, R.M.; Millar, J.S.; Pottmeyer, J.A. [Los Alamos Technical Associates, Kennewick, WA (United States); Duncan, D.R. [Westinghouse Hanford Co., Richland, WA (United States)

1994-08-01T23:59:59.000Z

304

Expected near-field thermal performance for nuclear waste repositories at potential salt sites: Technical report  

SciTech Connect (OSTI)

Thermal analyses were made for the environmental assessments of seven potential salt sites for a nuclear waste repository. These analyses predicted that potential repository sites in domal salts located in the Gulf Coast will experience higher temperature than those in bedded salts of Paradox and Palo Duro Basins, mainly because of higher ambient temperatures at depth. The TEMPV5 code, a semi-analytical heat transfer code for finite line sources, calculated temperatures for commercial high-level waste (CHLW) and spent fuel from pressurized-water reactors (SFPWR). Benchmarks with HEATING6, THAC-SIP-3D, STEALTH, and SPECTROM-41 showed that TEMPV5 agreed closely in the very near field around the waste package and approximately in the near-field and far-field regions of the repository. The analyses used site-specific thermal conductivities that were increased by 40% to compensate for reductions caused by testing technique, salt impurities, and other heterogeneities, and sampling disturbance. Analyses showed peak salt temperatures of 236/sup 0/C (CHLW) and 134/sup 0/C (SFPWR) for the bedded salt and 296/sup 0/C (CHLW) and 180/sup 0/C (SFPWR) for the domal salt. Analyses with uncorrected laboratory thermal conductivities would increase peak salt temperatures by about 120/sup 0/C for CHLW and about 60/sup 0/C for SFPWR. These temperature increases would increase the thermally induced flow of brine and accelerate corrosion of the waste package. 30 refs., 35 figs., 48 tabs.

McNulty, E.G.

1987-08-01T23:59:59.000Z

305

Great expectations : provisional modernism and the reception of J.J.P. Oud  

E-Print Network [OSTI]

My dissertation analyzes the reception of the work of J.J.P. Oud (1890-1963), the modern Dutch architect, by examining the systems of dissemination and reception of modern European architecture from 1910 to 1953. Reception ...

Beischer, Thomas G. (Thomas Gustav), 1968-

2004-01-01T23:59:59.000Z

306

1 INTRODUCTION Climatic change is expected to be the outcome of in-  

E-Print Network [OSTI]

CLIMATE CHANGE Many greenhouse gases, including carbon dioxide (CO2), occur naturally and keep the earth of CO2 have added greatly to atmospheric concentrations. In particular, transportation and the burning, and may reduce production, implying lower revenues and poorer returns. Electricity industry liberalisation

Harrison, Gareth

307

Expectation-maximization algorithms for image processing using multiscale models and  

E-Print Network [OSTI]

theory, with applications to laser radar range profiling and segmentation Andy Tsai Laboratory for Information and Decision Systems Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, Massachusetts 02139 E-mail: atsai@mit.edu Jun Zhang Department of Electrical Engineering and Computer Science

Willsky, Alan S.

308

What to Expect from Sectoral Trading: A U.S.China Example  

E-Print Network [OSTI]

In recent United Nations Framework Convention on Climate Change (UNFCCC) negotiations, sectoral mechanisms were proposed as a way to encourage early action and spur investment in low carbon technologies in developing ...

Gavard, Claire

309

he U.S. Coast Guard expects all of its Sikorsky Aircraft MH-60T  

E-Print Network [OSTI]

Programmed Depot Maintenance at the Aviation Logistics Center (ALC) in Elizabeth City, North Carolina. Like dynamic component wear and a path to condition-based maintenance (CBM). However, without the testing airframe. Despite the reliable performance, the Coast Guard sought HUMS technology to improve the robust

Almor, Amit

310

Physics Overview As a consequence of the presently accepted theory of strong interactions it is expected  

E-Print Network [OSTI]

by high baryon density and low temperature, and in the other by zero net baryon density and temperatures be pointed out that while the phase transition to the quark--gluon plasma with zero net baryon density has in a solid. QCD lattice calculations confirm the existence of a well defined phase transition signaling

311

Oak Ridge Isotope Products and Services - Current and Expected Supply and Demand  

SciTech Connect (OSTI)

Oak Ridge National Laboratory (ORNL) has been a major center of isotope production research, development, and distribution for over 50 years. Currently, the major isotope production activities include (1) the production of transuranium element radioisotopes, including 252 Cf; (2) the production of medical and industrial radioisotopes; (3) maintenance and expansion of the capabilities for production of enriched stable isotopes; and, (4) preparation of a wide range of custom-order chemical and physical forms of isotope products, particularly in accelerator physics research. The recent supply of and demand for isotope products and services in these areas, research and development (R&D), and the capabilities for future supply are described in more detail below. The keys to continuing the supply of these important products and services are the maintenance, improvement, and potential expansion of specialized facilities, including (1) the High Flux Isotope Reactor (HFIR), (2) the Radiochemical Engineering Development Center (REDC) and Radiochemical Development Laboratory (RDL) hot cell facilities, (3) the electromagnetic calutron mass separators and the plasma separation process equipment for isotope enrichment, and (4) the Isotope Research Materials Laboratory (IRML) equipment for preparation of specialized chemical and physical forms of isotope products. The status and plans for these ORNL isotope production facilities are also described below.

Aaron, W.S.; Alexander, C.W.; Cline, R.L.; Collins, E.D.; Klein, J.A.; Knauer, J.B., Jr.; Mirzadeh, S.

1999-08-29T23:59:59.000Z

312

Tourists: their expectations, motivations, and behavior at South Padre Island, Texas  

E-Print Network [OSTI]

of South Padre Island and City of Port Isabel 36 7 Estimated Actual Value of Taxable Property: Town of South Padre Island 37 8 Statement of Construction Value and Bank Deposits: Town of South Padre Island... degrees F and the winter averages 65 degrees F. Such warm temperatures allow an extremely long growing season of 336 days (Port Isabel ? South Padre Island Chamber of Commerce, 1982). Only 26 inches ot preciptation falls annually, mostly during...

Myers, Steven John

1983-01-01T23:59:59.000Z

313

Incentive Relativity and the Specificity of Reward Expectations in Honey Bees  

E-Print Network [OSTI]

D. Wiegmann Bowling Green State University, U. S. A. Brianand he thanks Bowling Green State University for financialSciences, Bowling Green State University, Bowling Green, OH

Wiegmann, Daniel D.; Smith, Brian H.

2009-01-01T23:59:59.000Z

314

Free Energy and Plaquette expectation value for gluons on the lattice, in three dimensions  

E-Print Network [OSTI]

We calculate the perturbative value of the Free Energy in Lattice QCD in three dimensions, up to three loops. Our calculation is performed using the Wilson formulation for gluons in SU(N) gauge theories. The Free Energy is directly related to the average plaquette. To carry out the calculation, we compute the coefficients involved in the perturbative expansion of the Free Energy up to three loops, using an automated set of procedures developed by us in Mathematica. The dependence on N is shown explicitly in our results. For purposes of comparison, we also present the individual contributions from every diagram. These have been obtained by means of two independent calculations, in order to cross check our results.

H. Panagopoulos; A. Skouroupathis; A. Tsapalis

2006-02-24T23:59:59.000Z

315

Initial Process and Expected Outcomes for Preliminary Identification of Routes to Yucca Mountain, Nevada  

SciTech Connect (OSTI)

The Department of Energy's (DOE's) Office of Civilian Radioactive Waste Management (OCRWM) is responsible for developing and implementing a safe, secure and efficient transportation system to ship spent nuclear fuel (SNF) and high-level radioactive waste (HLW) from commercial and DOE sites to the proposed Yucca Mountain repository. The Office of Logistics Management (OLM) within OCRWM has begun to work with stakeholders to identify preliminary national suites of highway and rail routes that could be used for future shipments OLM is striving to develop a planning-basis set of routes that will support long-lead time logistical analyses (i.e., five or more years before shipment). The results will represent a starting point for discussions between DOE and corridor jurisdictions, and for shipping arrangements between DOE and carriers. This fulfills a recommendation of the National Academy of Sciences report on SNF and HLW transportation that 'DOE should identify and make public its suite of preferred highway and rail routes for transporting spent fuel and high level waste to a federal repository as soon as practicable to support State, Tribal and local planning, especially for emergency responder preparedness'. OLM encourages and supports participation of program stakeholders in a process to identify suites of national routes. The principal objective is to identify preliminary suites of national routes that reflect responsible consideration of the interests of a broad cross-section of stakeholders. This will facilitate transportation planning activities to help meet program goals, including providing an advanced planning framework for State and Tribal authorities; supporting a pilot program for providing funding under Section 180(c) of the Nuclear Waste Policy Act; allowing sufficient time for security and operational reviews in advance of shipments to Yucca Mountain; and supporting utility planning and readiness for transportation operations. Concepts for routing and routing criteria have been considered by several state regional groups supported by cooperative agreements with OLM. OCRWM is also working with other Federal agencies, transportation service providers and others involved in the transportation industry to ensure the criteria are consistent with operating practices and regulations. These coordination efforts will ensure the experience, knowledge, and expertise of those involved are considered in the process to identify the preliminary national suites of routes. This paper describes the current process and timeline for preliminary identification and analyses of routes. In conclusion: The path toward developing a safe, secure, and efficient transportation system for shipments of SNF and HLW to Yucca Mountain will require the participation of many interested parties. Real cooperative planning is sometimes challenging, and requires a commitment from all involved parties to act in good faith and to employ their best efforts in developing mutually beneficial solutions. Identifying routes to the proposed repository at Yucca Mountain, and engaging in planning and preparedness activities with affected jurisdictions and other stakeholders, will take time. OCRWM is committed to a cooperative approach that will ultimately enhance safety, security, efficiency and public confidence. (authors)

Thrower, A. [Office of Civilian Radioactive Waste Management, Office of Logistics Management, U.S. Department of Energy, Washington, DC (United States); Best, R. [JAI Corporation, Washington, DC (United States); Finewood, L. [Booz Allen Hamilton, Washington, DC (United States)

2008-07-01T23:59:59.000Z

316

Surpassing Expectations: State of the U.S. Wind Power Market  

E-Print Network [OSTI]

States, new large-scale wind turbines were installed in 18The average size of wind turbines installed in the Uniteddominant manufacturer of wind turbines supplying the U.S.

Bolinger, Mark A

2009-01-01T23:59:59.000Z

317

The influence of subordinate age, work experience, and performance level on supervisor expectations and actions  

E-Print Network [OSTI]

and Experience on Advanced Training 21 INTRODUCTION The study of work force demographics reveals that our present work force has changed in several significant ways in the past two decades. A growing number of woman and the large number of post-war II "baby... when the "baby boomer" generation becomes the legally protected age group. Although a substantial amount of research concerning the fair employment practice on the basis of sex have been conducted in the past decade (e. g. , Terborg & Ilgen, 1975...

Wu, Beverly Hui-Jun

1987-01-01T23:59:59.000Z

318

Expected performance of an ideal liquid argon neutrino detector with enhanced sensitivity to scintillation light  

E-Print Network [OSTI]

Scintillation light is used in liquid argon (LAr) neutrino detectors to provide a trigger signal, veto information against cosmic rays, and absolute event timing. In this work, we discuss additional opportunities offered by detectors with enhanced sensitivity to scintillation light, that is with light collection efficiencies of about $10^{-3}$. We focus on two key detector performance indicators for neutrino oscillation physics: calorimetric neutrino energy reconstruction and neutrino/antineutrino separation in a non-magnetized detector. Our results are based on detailed simulations, with neutrino interactions modelled according to the GENIE event generator, while the charge and light responses of a large LAr ideal detector are described by the Geant4 and NEST simulation tools. A neutrino energy resolution as good as 3.3\\% RMS for 4 GeV electron neutrino charged-current interactions can in principle be obtained in a large detector of this type, by using both charge and light information. By exploiting muon capture in argon and scintillation light information to veto muon decay electrons, we also obtain muon neutrino identification efficiencies of about 50\\%, and muon antineutrino misidentification rates at the few percent level, for few-GeV neutrino interactions that are fully contained. We argue that the construction of large LAr detectors with sufficiently high light collection efficiencies is in principle possible.

M. Sorel

2014-09-05T23:59:59.000Z

319

Surpassing Expectations: State of the U.S. Wind Power Market  

E-Print Network [OSTI]

leaders, Vestas (18%) and Siemens (16%), also lost marketcases dramatically. Vestas Siemens Vestas Mitsubishi SuzlonSuzlon Gamesa Other GE Wind Siemens Vestas Mitsubishi Suzlon

Bolinger, Mark A

2009-01-01T23:59:59.000Z

320

Expectations for neutron-antineutron oscillation time from TeV scale baryogenesis  

SciTech Connect (OSTI)

A TeV scale extension of the standard model that incorporates the seesaw mechanism for neutrino masses along with quark-lepton unification is presented. It is shown that this model leads to the {Delta}B= 2 baryon number violating process of neutron-antineutron (n-bar n) oscillation. The model has all the ingredients to generate the observed baryon asymmetry of the universe using the B-violating decay of a scalar field involved in the seesaw mechanism. The B-violating decay arises from the exchange of color sextet scalars which have TeV scale masses. Baryogenesis occurs below the sphaleron decoupling temperature and has been termed post-sphaleron baryogenesis. Here we show that the constraints of TeV scale baryogenesis, when combined with the neutrino oscillation data and restrictions from flavor changing neutral currents mediated by the colored scalars imply an upper limit on the n-bar n oscillation time of 5 Multiplication-Sign 10{sup 10} sec. regardless of the quark-lepton unification scale. If this scale is relatively low, in the (200 - 250) TeV range, {tau}{sub n-bar} {sub n} is predicted to be less than 10{sup 10} sec., which is accessible to the next generation of proposed experiments.

Babu, K. S. [Department of Physics, Oklahoma State University, Stillwater, OK 74078 (United States); Bhupal Dev, P. S. [Consortium for Fundamental Physics, School of Physics and Astronomy, University of Manchester, Manchester, M13 9PL (United Kingdom); Fortes, Elaine C. F. S. [Instituto de Fisica Teorica-Universidade Estadual Paulista, R. Dr. Bento Teobaldo Ferraz 271, Sao Paulo-SP, 01140-070 (Brazil); Mohapatra, Rabindra N. [Maryland Center for Fundamental Physics and Department of Physics, University of Maryland, College Park, MD 20742 (United States)

2013-05-23T23:59:59.000Z

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Community Services Standards for TigerTransit Expectations for our staff  

E-Print Network [OSTI]

Drivers are to treat all passengers in a professional manner. Drivers, be knowledgeable of all "Tiger Transit" routes. Adherence to Schedules 1. Drivers are to be thoroughly familiar with all routes and schedules. 2. Drivers are not to make

322

Developing standards and expectations for the teaching and learning of science  

SciTech Connect (OSTI)

Although science is often considered by the public and even some educators to be merely a syllabus of information to be learned by the pupil, it is much more. It is primarily concerned with developing a logical disiplined approach to inquiry. Consequently, the goals for science education are related to developing science literacy in the student population, preparing for its use in the postschool world, and its application in society. Despite the recognized importance of science and mathamatics to our long-term economic health, the urgency does not seem to have reached some of our schools.

Haeffele, L. (Illinois State Board of Education, Springfield (United States))

1992-01-01T23:59:59.000Z

323

Exploring the industrial hygiene academic curriculum: Expectations and perceptions of the profession  

E-Print Network [OSTI]

in the IH discipline have turned the tools and methods of academic research toward the academic curriculum itself. A review of the literature revealed that published research in IH curriculum has been minimal, and that none has considered comparing faculty...

Breeding, David Clarence

2009-05-15T23:59:59.000Z

324

Expected Precision of Higgs Boson Partial Widths within the Standard Model  

E-Print Network [OSTI]

We discuss the sources of uncertainty in calculations of the partial widths of the Higgs boson within the Standard Model. The uncertainties come from two sources: the truncation of perturbation theory and the uncertainties in input parameters. We review the current status of perturbative calculations and note that these are already reaching the parts-per-mil level of accuracy for the major decay modes. The main sources of uncertainty will then come from the parametric dependences on alpha_s, m_b, and m_c. Knowledge of these parameters is systematically improvable through lattice gauge theory calculations. We estimate the precision that lattice QCD will achieve in the next decade and the corresponding precision of the Standard Model predictions for Higgs boson partial widths.

G. Peter Lepage; Paul B. Mackenzie; Michael E. Peskin

2015-04-22T23:59:59.000Z

325

Efficiency improvements in US Office equipment: Expected policy impacts and uncertainties  

SciTech Connect (OSTI)

This report describes a detailed end-use forecast of office equipment energy use for the US commercial sector. We explore the likely impacts of the US Environmental Protection Agency`s ENERGY STAR office equipment program and the potential impacts of advanced technologies. The ENERGY STAR program encourages manufacturers to voluntarily incorporate power saving features into personal computers, monitors, printers, copiers, and fax machines in exchange for allowing manufacturers to use the EPA ENERGY STAR logo in their advertising campaigns. The Advanced technology case assumes that the most energy efficient current technologies are implemented regardless of cost.

Koomey, J.G.; Cramer, M.; Piette, M.A.; Eto, J.H.

1995-12-01T23:59:59.000Z

326

Brief Announcement: On the Expected Overpayment of VCG Mechanisms in Large Networks  

E-Print Network [OSTI]

]. In this paper, we give an improvement on the VCG overpayment bound of Mihail, Papadimitriou and Saberi [4

327

Stochastic Graphs Have Short Memory: Fully Dynamic Connectivity in Poly-Log Expected Time  

E-Print Network [OSTI]

after a change (i.e. on-line), doing so more efficiently than recomputing it at that point from scratch

Reif, John H.

328

Descriptions and Expectations of Recommended BMPs for Improving the Bosque River Watershed  

E-Print Network [OSTI]

- (Al) and iron- (Fe) based compounds to bind P in animal manure. Chemical agents are typically incorporated into the manure or lagoon effluent prior to application, but can also be applied directly to the field. Aluminum sulfate (alum) is one... manure. Zvomuya et al. (2006) demonstrated that alum may be an effective amendment for immobilizing P and reducing P leaching in coarse-textured soils with a long history of waste application. When incorporated with poultry litter, alum is typically...

Meier, Megan; Gregory, Lucas

329

Supplemental Material for the SIGGRAPH 2005 Poster "The Expected Running Time of Hierarchical Collision  

E-Print Network [OSTI]

Collision Detection" Jan Klein University of Paderborn Gabriel Zachmann Clausthal University Figure 1

Zachmann, Gabriel

330

Expected Utility Theory as a Guide to Contingency (Allowance or Management Reserve) Allocation  

SciTech Connect (OSTI)

In this paper, I view a project from the perspective of utility theory. I suggest that, by determining an optimal percent contingency (relative to remaining work) and identifying and enforcing a required change in behavior, from one that is risk-seeking to one that is risk-averse, a project's contingency can be managed more effectively. I argue that early on in a project, risk-seeking behavior dominates. During this period, requests for contingency are less rigorously scrutinized. As the design evolves, more accurate information becomes available. Once the designs have been finalized, the project team must transition from a free-thinking, exploratory mode to an execution mode. If projects do not transition fast enough from a risk-seeking to a risk-averse organization, an inappropriate allocation of project contingency could occur (too much too early in the project). I show that the behavioral patterns used to characterize utility theory are those that exist in the project environment. I define a project's utility and thus, provide project managers with a metric against which all gambles (requests for contingency) can be evaluated. I discuss other research as it relates to utility and project management. From empirical data analysis, I demonstrate that there is a direct correlation between progress on a project's design activities and the rate at which project contingency is allocated and recommend a transition time frame during which the rate of allocation should decrease and the project should transition from risk-seeking to risk-averse. I show that these data are already available from a project's earned value management system and thus, inclusion of this information in the standard monthly reporting suite can enhance a project manager's decision making capability.

Thibadeau, Barbara M [ORNL] [ORNL

2006-01-01T23:59:59.000Z

331

Reliable before-fabrication forecasting of expected surface slope distributions for x-ray optics  

E-Print Network [OSTI]

measurements of x-ray optics, Proc. SPIE 5921, 59210G (radiation grazing-incidence optics, Nucl. Instrum. Methodsray beams by reflective optics, Proc. SPIE 4782, 271-276 (

Yashchuk, Yekaterina V.

2013-01-01T23:59:59.000Z

332

SoM Health and Safety Programs 8/24/07 Evacuation Expectations  

E-Print Network [OSTI]

belongings (keys, wallet, eyeglasses, medications, etc.) and your emergency kit Close doors but do not lock

Ford, James

333

The experiences of select university presidential partners with traditional role expectations  

E-Print Network [OSTI]

This study focused on 24 female and male respondents. The literature on presidential partners was lacking. The literature available was over 20 years out of date, had been conducted by university presidential partners on behalf of national...

Vargas, Juanita Gamez

2009-05-15T23:59:59.000Z

334

Individual innovation in the workplace: the role of performance and image outcome expectations  

E-Print Network [OSTI]

in an integrated fashion based on established theories of individual behavior. This dissertation follows the style and format of the Academy of Management Journal. 2 Second, few studies have directly tested the intermediate processes through which individual...

Yuan, Feirong

2009-05-15T23:59:59.000Z

335

Environmental benefits of different types of heat pumps, available and expected  

SciTech Connect (OSTI)

A brief overview of integrated resource planning (IRP) is provided, with emphasis on how stakeholders interact within the process and where the opportunities may lie for heat pump advocates in cold climates. Five heat pump options that represent various approaches for improving heat pump cold weather performance are included here in a comparative analysis: 2-speed electric air source heat pumps, variable-speed electric air source heat pumps, electric ground-source heat pumps, natural gas engine-driven heat pumps, and natural gas absorption heat pumps. The comparative analysis addresses seasonal performance, seasonal peak demand, air pollutant emissions, customer energy costs, and recognition of environmental externalities in IRP, all in the context of a residential application in the Great Lakes region of the US. Several actions that may be in the interest of heat pump stakeholders in cold climates were identified, including: development of improved software for utility planners, advocacy of a practical form of the Societal Test for use in IRP that credits heat pumps for the residential air pollutant emissions that they avoid, and development of practical methods to credit heat pumps with other environmental benefits for which they may be responsible.

Hughes, P.J.

1993-11-01T23:59:59.000Z

336

Understanding Change in Romantic Relationship Expectations of International Female Students from Turkey  

E-Print Network [OSTI]

N. (2003). Marriage in Turkey. In R. R. Hamon & B. B.structure. Ankara, Turkey: State Planning Organization.D. (2002). Brain drain from Turkey: Survey evidence of

Delevi, Raquel; Bugay, Asl?

2010-01-01T23:59:59.000Z

337

Of yarmulkes and categories: Delegating boundaries and the phenomenology of interactional expectation  

E-Print Network [OSTI]

introduction: Gurwitschs phenomenology of the margin, bodyAn introduction to phenomenology. The Hague: MartinusPonty, M. (2005). The phenomenology of perception. London:

Tavory, Iddo

2010-01-01T23:59:59.000Z

338

Weak Approximation of -Expectations Yan Dolinsky Marcel Nutz H. Mete Soner  

E-Print Network [OSTI]

of the solution of the non- linear backward heat equation with terminal condition ETH Zurich, Dept. of Mathematics, CH-8092 Zurich, yan.dolinsky@math.ethz.ch ETH Zurich, Dept. of Mathematics, CH-8092 Zurich, marcel.nutz@math.ethz.ch ETH Zurich, Dept. of Mathematics, CH-8092 Zurich, and Swiss Finance Institute, mete

Nutz, Marcel

339

Course Objectives On completion of this course graduates should expect to  

E-Print Network [OSTI]

boundaries in health and social care and be able to select an approach most suited to the change process within their particular service. Have an in-depth understanding of the drivers behind health reforms, organisation and/or delivery of health and social care services. Applications will be considered from

O'Mahony, Donal E.

340

WHAT TO EXPECT FROM SECTORAL TRADING: A US-CHINA EXAMPLE  

E-Print Network [OSTI]

and increases electricity generation. Keywords: Climate; sectoral agreements; emissions trading; carbon leakage an Emissions Trading Scheme, international negotiations aim to foster wider agreements, particularly

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Optimization of the transmission of observable expectation values and observable statistics in Continuous Variable Teleportation  

E-Print Network [OSTI]

We analyze the statistics of observables in continuous variable quantum teleportation in the formalism of the characteristic function. We derive expressions for average values of output state observables in particular cumulants which are additive in terms of the input state and the resource of teleportation. Working with Squeezed Bell-like states, which may be optimized in a free parameter for better teleportation performance we discuss the relation between resources optimal for fidelity and for different observable averages. We obtain the values of the free parameter which optimize the central momenta and cumulants up to fourth order. For the cumulants the distortion between in and out states due to teleportation depends only on the resource. We obtain optimal parameters for the second and fourth order cumulants which do not depend on the squeezing of the resource. The second order central momenta which is equal to the second order cumulants and the photon number average are optimized by the same resource. We show that the optimal fidelity resource, found in reference (Phys. Rev. A {\\bf 76}, 022301 (2007)) to depend also on the characteristics of input, tends for high squeezing to the resource which optimizes the second order momenta. A similar behavior is obtained for the resource which optimizes the photon statistics which is treated here using the sum of the squared differences in photon probabilities of input and output states as the distortion measure. This is interpreted to mean that the distortions associated to second order momenta dominates the behavior of the output state for large squeezing of the resource. Optimal fidelity and optimal photon statistics resources are compared and is shown that for mixtures of Fock states they are equivalent.

L. Albano Farias; J. Stephany

2010-09-28T23:59:59.000Z

342

General Convergent Expectation Maximization (EM)-Type Algorithms for Image Reconstruction with  

E-Print Network [OSTI]

. For some applications such as positron-emission-tomography (PET) and computed tomography (CT), analytical and flexibility [2]. The data can be collected over any set of lines, the projections do not have to be distributed uniformly in angle, and the projections can be even incomplete (limited angle). With the help

Soatto, Stefano

343

Socialization, ambition, and career expections: race-sex variations among adolescents  

E-Print Network [OSTI]

the other drafts including the final one. viii TABLE OF CONTENTS Page ABSTRACT DFDICATION ~ ACKNOWLEDGEMENTS TABLE OF CONTENTS vi viii Lf S'I' Ol' TABLES. C'. 1APTER I. INTRODUCTION. Xl. Statement of the Probl. em and Objectives o t Research... objective of this study was an assessment of the effect. of fandlial socialization on educational and occupatfonal . x, ectation . Specifically, the study focused on the relationship between race and sex and the theoretical and empirical 1'i kages a: soci...

Noel, Dorothy Elizabeth

1978-01-01T23:59:59.000Z

344

The Expected Value of Hierarchical Problem-Solving Fahiem Bacchus and Qiang Yang  

E-Print Network [OSTI]

levels: once an abstract solution is found we need never search for another one. Hence, Knoblock's work the abstract space once yields a signi cant net bene t over searching the non-abstract space. In previous work of Computer Science University of Waterloo Waterloo, Ontario, Canada N2L 3G1 Abstract In the best case using

Bacchus, Fahiem

345

Expected Precision of Higgs Boson Partial Widths within the Standard Model  

E-Print Network [OSTI]

We discuss the sources of uncertainty in calculations of the partial widths of the Higgs boson within the Standard Model. The uncertainties come from two sources: the truncation of perturbation theory and the uncertainties in input parameters. We review the current status of perturbative calculations and note that these are already reaching the parts-per-mil level of accuracy for the major decay modes. The main sources of uncertainty will then come from the parametric dependences on alpha_s, m_b, and m_c. Knowledge of these parameters is systematically improvable through lattice gauge theory calculations. We estimate the precision that lattice QCD will achieve in the next decade and the corresponding precision of the Standard Model predictions for Higgs boson partial widths.

G. Peter Lepage; Paul B. Mackenzie; Michael E. Peskin

2014-04-01T23:59:59.000Z

346

Analysis of Mixture Models using Expected Posterior Priors, with Application to Classi cation  

E-Print Network [OSTI]

of Gamma Ray Bursts Jos#19;e M. P#19;erez and James O. Berger #3; Abstract Consider observations when the number of components is un- known. An application is considered involving Gamma Ray Bursts of the number of classes of Gamma Ray Bursts (Meegan et al. , 1995). 1.1 Notation Consider the #12;nite mixture

Berger, Jim

347

Analysis of Mixture Models using Expected Posterior Priors, with Application to Classi cation  

E-Print Network [OSTI]

of Gamma Ray Bursts Jos#19;e M. P#19;erez and James O. Berger #3; Abstract Consider observations the number of components is unknown. An appli- cation is considered involving Gamma Ray Bursts, modeled is considered in section 4 in the determination of the number of classes of Gamma Ray Bursts (Meegan et al

West, Mike

348

carbides. The multiphase/polytypic region can be expected to occur also in the nitrides because  

E-Print Network [OSTI]

in valence electron concentration where sev- eral phases of the 3d, 4d, and 5d transition metal carbides have, Transition Metal Carbides and Nitrides (Academic Press, New York, 1971). 6. C. Maerky, M.-O. Guillou, J. L is predicted to be substantially enhanced over that of traditional transition metal car- bide/nitride coatings

Shen, Guoyin

349

Secondary organic aerosol formation from anthropogenic air pollution: Rapid and higher than expected  

E-Print Network [OSTI]

an increasingly serious concern for public health [Health Effects Institute, 2000], agriculture [Fuhrer, 2003

Jimenez, Jose-Luis

350

Slow changes in performance consistent with expectations for increasing radiation damage and contamination deposition  

E-Print Network [OSTI]

and contamination deposition · Performance changes do not substantially degrade instrument capabilities · Quiescent damage, molecular contamination and aging in general. Here we present highlights from the instrument team transits radiation belts at perigee · ACIS External Calibration Source (ECS) - Radioactive Fe-55 with Al

Grant, Catherine E.

351

Cancer survivors and survivorship care: Provider expectations, post-treatment health services, and patient reported outcomes  

E-Print Network [OSTI]

2011) Long Term Effects and Cancer Survivorship in the OlderGanz (Eds. ), Management of Cancer for the Older Patient (the Quality of Care for Cancer Survivors. Psycho-Oncology (

Hahn, Erin Elizabeth

2013-01-01T23:59:59.000Z

352

J. Geophys. Res. In press, October 2000. Expected publication date 2001  

E-Print Network [OSTI]

. Reeves and M. G. Henderson Los Alamos National Laboratory, Los Alamos, New Mexico Abstract. We have 3 hours, ENA emissions are observed coming from most of the inner magnetosphere but have still by showing large-scale transport and providing a global context. We compare seven isolated ion injection

Reeves, Geoffrey D.

353

Empirical Analysis of Value at Risk and Expected Shortfall in Portfolio Selection Problem  

E-Print Network [OSTI]

Safety first criterion and mean-shortfall criterion both explore cases of assets allocation with downside risk. In this paper, I compare safety first portfolio selection problem and mean-shortfall portfolio optimization problem, considering risk...

Ding, Liyuan 1988-

2012-12-11T23:59:59.000Z

354

Radius determination of solar-type stars using asteroseismology: What to expect from the Kepler mission  

E-Print Network [OSTI]

For distant stars, as observed by the NASA Kepler satellite, parallax information is currently of fairly low quality and is not complete. This limits the precision with which the absolute sizes of the stars and their potential transiting planets can be determined by traditional methods. Asteroseismology will be used to aid the radius determination of stars observed during NASA's Kepler mission. We report on the recent asteroFLAG hare-and-hounds Exercise#2, where a group of `hares' simulated data of F-K main-sequence stars that a group of `hounds' sought to analyze, aimed at determining the stellar radii. Based on the asteroseismic large frequency spacing, obtained from simulations of 4-year time series data from the Kepler mission, we demonstrate that the stellar radii can be correctly and precisely determined, when combined with traditional stellar parameters from the Kepler Input Catalogue. The radii found by the various methods used by each independent hound generally agree with the true values of the arti...

Stello, D; Bruntt, H; Creevey, O L; Garca-Hernndez, A; Monteiro, M J P F G; Moya, A; Quirion, P -O; Sousa, S G; Surez, J -C; Appourchaux, T; Arentoft, T; Ballot, J; Bedding, T R; Christensen-Dalsgaard, J; Elsworth, Y; Fletcher, S T; Garca, R A; Houdek, Gnter; Jimnez-Reyes, S J; Kjeldsen, H; New, R; Rgulo, C; Salabert, D; Toutain, T

2009-01-01T23:59:59.000Z

355

Mass ejection from neutron star mergers: different components and expected radio signals  

E-Print Network [OSTI]

In addition to producing a strong gravitational signal, a short gamma-ray burst (GRB), and a compact remnant, neutron star mergers eject significant masses at significant kinetic energies. This mass ejection takes place via dynamical mass ejection and a GRB jet but other processes have also been suggested: a shock-breakout material, a cocoon resulting from the interaction of the jet with other ejecta, and viscous and neutrino driven winds from the central remnant or the accretion disk. The different components of the ejected masses include up to a few percent of a solar mass, some of which is ejected at relativistic velocities. The interaction of these ejecta with the surrounding interstellar medium will produce a long lasting radio flare, in a similar way to GRB afterglows or to radio supernovae. The relative strength of the different signals depends strongly on the viewing angle. An observer along the jet axis or close to it will detect a strong signal at a few dozen days from the radio afterglow (or the or...

Hotokezaka, Kenta

2015-01-01T23:59:59.000Z

356

Households to pay more than expected to stay warm this winter  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuidedCH2MLLC HistoryVeterans | Updates andHospitalHot

357

U.S. crude oil production expected to exceed oil imports later this year  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sector Transportation EnergyGlossary7,148.4NAArea:crude oil

358

U.S. crude oil production expected to top 9 million barrels per day in December  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sector Transportation EnergyGlossary7,148.4NAArea:crude 2015

359

U.S. crude oil production expected to top 9 million barrels per day in December  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sector Transportation EnergyGlossary7,148.4NAArea:crude

360

U.S. gasoline price expected to drop further below $3 per gallon  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sector Transportationdieselgasoline price decreases for

Note: This page contains sample records for the topic "ivory coast-are expected" 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

U.S. gasoline price expected to drop further below $3 per gallon  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sector Transportationdieselgasoline price decreases

362

U.S. gasoline price expected to drop further below $3 per gallon  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sector Transportationdieselgasoline price decreasesU.S.

363

U.S. gasoline prices expected to be cheaper in the second half of 2013  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sectorlong version) The U.S. averagelong, 2013 U.S.18,8,

364

,"Alaska Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane Proved Reserves (BillionShare of TotalCrude Oil +

365

,"Arkansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane Proved ReservesPrice (Dollars perCoalbed Methane

366

,"Arkansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane Proved ReservesPricePrice (Dollars per ThousandPlant

367

,"California--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry Natural GasMarketed Production (MMcf)"Plant

368

,"Colorado Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry Natural GasMarketedCoalbed Methane Proved+

369

,"Colorado Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry Natural GasMarketedCoalbed MethaneLiquids

370

,"Florida Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry NaturalCoalbedPlant Liquids,Coalbed Methane+Dry

371

,"Florida Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane ProvedDry NaturalCoalbedPlant Liquids,CoalbedLiquids

372

,"Kansas Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"CoalbedOhio"Associated-Dissolved NaturalPriceLNGNetCoalbed Methane+Dry

373

,"Kansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"CoalbedOhio"Associated-Dissolved NaturalPriceLNGNetCoalbedLiquidsPlant

374

,"Kentucky Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"CoalbedOhio"Associated-DissolvedSummary"Gas, WetCoalbed

375

,"Kentucky Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"CoalbedOhio"Associated-DissolvedSummary"Gas,Plant Liquids,

376

,"Louisiana - North Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)" ,"Click worksheet namePlantDry Natural Gas

377

,"Louisiana Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)" ,"Click worksheetDryCrude Oil + LeaseDry

378

,"Louisiana State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)" ,"ClickNonassociated Natural Gas,Crude

379

,"Louisiana--North Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)" ,"ClickNonassociatedLiquids LeasePlant

380

,"Louisiana--South Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"

Note: This page contains sample records for the topic "ivory coast-are expected" 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

,"Louisiana--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"Shale Proved Reserves (BillionPlant Liquids,

382

,"Lower 48 States Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"Shale Proved ReservesCoalbed Methane ProvedDry

383

,"Lower 48 States Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"Shale Proved ReservesCoalbed MethanePlant

384

,"Michigan Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"Shale ProvedWellhead PriceCoalbed MethaneDry

385

,"Michigan Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"Shale ProvedWellhead PriceCoalbedLiquids

386

,"Miscellaneous States Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"ShaleCoalbed Methane Proved ReservesDry Natural

387

,"Miscellaneous States Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"ShaleCoalbed Methane Proved ReservesDryPlant

388

,"Mississippi Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"ShaleCoalbed Methane ProvedShaleCrude Oil +Dry

389

,"Montana Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"ShaleCoalbed MethaneGas,

390

,"Montana Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion Cubic Feet)"ShaleCoalbed MethaneGas,Price (DollarsPlant

391

,"New Mexico - East Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice Sold to Electric Power ConsumersDry Natural Gas

392

,"New Mexico - West Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice Sold to Electric Power ConsumersDryDry Natural Gas

393

,"New Mexico Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice Sold to Electric PowerCoalbed Methane ProvedDry

394

,"New Mexico Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice Sold to ElectricMonthly","2/2015"Plant

395

,"New York Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice Sold toResidentialShale Proved ReservesCrude OilDry

396

,"North Dakota Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPrice Sold to ElectricAssociated-Dissolved+Dry

397

,"Ohio Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPriceGas, Wet After Lease

398

,"Oklahoma Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPriceGas, Wet AfterShale Proved

399

,"Oklahoma Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPriceGas, Wet AfterShale ProvedPrice (DollarsPlant

400

,"Pennsylvania Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPriceCoalbed Methane Proved Reserves (Billion Cubic+

Note: This page contains sample records for the topic "ivory coast-are expected" 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

New Set of Computational Tools and Models Expected to Help Enable Rapid  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGY TAXBalanced Scorecard Federal2Energy SecondWellsWinsRules Help

402

What to Expect When Readying to Move Spent Nuclear Fuel from Commercial  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment of Energy WhileTanklessLES'Neighborhood ProgramEnergyANuclear

403

Texas - RRC District 1 Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousandProcessed (Million(Million Barrels) Crude Oil

404

Texas - RRC District 10 Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousandProcessed (Million(MillionCubic Feet) Dry

405

Texas - RRC District 2 Onshore Dry Natural Gas Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousandProcessed (Million(MillionCubicLease(Billion Cubic

406

Texas - RRC District 3 Onshore Dry Natural Gas Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousandProcessedLease Separation, Proved Reserves(Billion

407

Texas - RRC District 4 Onshore Dry Natural Gas Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousandProcessedLease Separation,(Billion Cubic Feet)

408

Texas - RRC District 5 Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousandProcessedLease Separation,(Billion(MillionCubic

409

Texas - RRC District 6 Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousandProcessedLeaseSeparation, Proved

410

Texas - RRC District 7B Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousandProcessedLeaseSeparation,Cubic Feet) Dry

411

Texas - RRC District 7C Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear Jan FebThousandProcessedLeaseSeparation,Cubic(Million

412

Texas - RRC District 8 Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved Reserves (Billion Cubic Feet)

413

Texas - RRC District 8A Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved Reserves (Billion CubicSeparation,Cubic

414

Texas - RRC District 9 Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved Reserves (BillionSeparation,

415

Texas--RRC District 1 Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved1 4.70 1967-2010CubicProduction

416

Texas--RRC District 10 Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved1 4.70Production (BillionProduction (Million

417

Texas--RRC District 2 Onshore Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved1 4.70ProductionFeet) 2Reserves

418

Texas--RRC District 3 Onshore Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved1Reserves (Million Barrels)

419

Texas--RRC District 4 Onshore Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved1Reserves (Million3 onshProduction (Million

420

Texas--RRC District 5 Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved1Reserves (Million35(Million Barrels)

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Texas--RRC District 6 Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation, Proved1Reserves(Million Barrels)(Million

422

Texas--RRC District 7B Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation,

423

Texas--RRC District 7C Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation,(Million Barrels) ReservesReservesProduction

424

Texas--RRC District 8 Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation,(Million Barrels)Shale(Million Barrels)

425

Texas--RRC District 8A Natural Gas Plant Liquids, Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation,(Million(Million Barrels) Crude OilProduction

426

Texas--RRC District 9 Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation,(Million(Million

427

Texas--State Offshore Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYear JanSeparation,(Million(Million(MillionProduction

428

U.S. Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--State OffshoreProduction Forecast-Drilled

429

U.S. Federal Offshore Dry Natural Gas Expected Future Production (Billion  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinter 2013-14 Propane UpdatesOrigin2009

430

U.S. Natural Gas Plant Liquids, Expected Future Production (Million  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--StateWinter 2013-14Deliveries (NumberYearBarrels)

431

Scientists detect methane levels three times larger than expected over Four  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBi (2) Sr (2)Science HighlightAlanExchangeOfficeof ScienceCorners

432

Loan Guarantees for Three California PV Solar Plants Expected to Create  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't Happen toLeveragingLindsey Geisler AboutEnergy1,400 Jobs |

433

Assumptions and Expectations for Annual Energy Outlook 2014: Oil and Gas Working Group  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion

434

Assumptions and Expectations for Annual Energy Outlook 2015: Oil and Gas Working Group  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion5: Oil and Gas Working

435

California--Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87 1967-2010 Imports 2.83 4.76Separation,

436

California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import96 4.87 1967-2010 Imports 2.83 4.76Separation,Future

437

Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Expected  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansion andFeet)

438

Gulf of Mexico Federal Offshore - Texas Dry Natural Gas Expected Future  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansionReserves (Million

439

Lower 48 States Dry Natural Gas Expected Future Production (Billion Cubic  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year inBarrels)Barrels) Reserves inFeet)

440

New Mexico - East Dry Natural Gas Expected Future Production (Billion Cubic  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month Week 1 Week 2-302Year JanFeet) Dry

Note: This page contains sample records for the topic "ivory coast-are expected" 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

New Mexico - West Dry Natural Gas Expected Future Production (Billion Cubic  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month Week 1 Week 2-302YearBarrels) Crude Oil

442

New Mexico--East Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month Week 1Wellhead Price(Million

443

New Mexico--West Natural Gas Plant Liquids, Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month Week 1Wellhead(Million Barrels) Plant

444

New York Dry Natural Gas Expected Future Production (Billion Cubic Feet)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month Week 1Wellhead(MillionCrude Oil Reserves

445

HOW MANY ULTRA-HIGH ENERGY COSMIC RAYS COULD WE EXPECT FROM CENTAURUS A?  

SciTech Connect (OSTI)

The Pierre Auger Observatory has associated a few ultra-high energy cosmic rays (UHECRs) with the direction of Centaurus A. This source has been deeply studied in radio, infrared, X-ray, and {gamma}-rays (MeV-TeV) because it is the nearest radio-loud active galactic nucleus. Its spectral energy distribution or spectrum shows two main peaks, the low-energy peak, at an energy of 10{sup -2} eV, and the high-energy peak, at about 150 keV. There is also a faint very high energy (VHE; E {>=} 100 GeV) {gamma}-ray emission fully detected by the High Energy Stereoscopic System experiment. In this work, we describe the entire spectrum: the two main peaks with a synchrotron/synchrotron self-Compton model, and the VHE emission with a hadronic model. We consider p{gamma} and pp interactions. For the p{gamma} interaction, we assume that the target photons are those produced at 150 keV in leptonic processes. On the other hand, for the pp interaction we consider as targets the thermal particle densities in the lobes. Requiring a satisfactory description of the spectra at very high energies with p{gamma} interaction, we obtain an excessive luminosity in UHECRs (even exceeding the Eddington luminosity). However, when considering the pp interaction to describe the {gamma}-spectrum, the number of UHECRs obtained is in agreement with Pierre Auger observations. We also calculate the possible neutrino signal from pp interactions on a Km{sup 3} neutrino telescope using Monte Carlo simulations.

Fraija, N.; Gonzalez, M. M.; Perez, M. [Instituto de Astronomia, Universidad Nacional Autonoma de Mexico, Circuito Exterior, C.U., A. Postal 70-264, 04510 Mexico D.F. (Mexico); Marinelli, A., E-mail: nifraija@astro.unam.mx, E-mail: magda@astro.unam.mx, E-mail: jguillen@astro.unam.mx, E-mail: antonio.marinelli@fisica.unam.mx [Instituto de Fisica, Universidad Nacional Autonoma de Mexico, Circuito Exterior, C.U., A. Postal 70-264, 04510 Mexico D.F. (Mexico)

2012-07-01T23:59:59.000Z

446

A Longitudinal Examination of Outcome Expectancy Constructs and their Role in Type 1 Diabetes in Youths  

E-Print Network [OSTI]

assessments. 110 participants (mean age = 13.6) completed the Children's Hope Scale (CHS), the Life Orientation Test-Revised (LOT-R; optimism measure), and the Self-Efficacy for Diabetes Scale (SED), and their HbA1c and SMBG data were obtained from chart...

Van Allen, Jason

2013-08-31T23:59:59.000Z

447

2010 Sambamurti Lecture: ?Expecting the Unexpected: Neutrino Physics at MiniBooNE?  

ScienceCinema (OSTI)

For more than 50 years, neutrinos have surprised researchers, not only by their mere presence, but also by the recent revelation that these ghostlike particles can oscillate from one type to another. This discovery has opened up a host of new questions about neutrinos and their properties ? questions that scientists are currently in a global race to answer.

Geralyn ?Sam? Zeller

2010-09-01T23:59:59.000Z

448

To Expected Charge Fluctuations Data from the long pulse run 17-Feb-2002  

E-Print Network [OSTI]

Te if possible - button BPMs equipped with electronics from the undulator - additional stripline BPM BIS long pulse operation mode in analysis mode reentrant BPM Protvino BPM dogleg +vertical steerers stripline BPM button BPMs button BPM beamdump 25 MeV beam, 8mA@10 Hz #12;Resolution of the Injector

449

Surpassing Expectations: State of the U.S. Wind Power Market  

E-Print Network [OSTI]

wind turbine and component manufacturing facilities opened or announced in 2007 are three owned by major international turbine manufacturers: Vestas (blades

Bolinger, Mark A

2009-01-01T23:59:59.000Z

450

Performance Expectations Is punctual and arrives on time for work as scheduled  

E-Print Network [OSTI]

of college equipment, facilities, materials, and work environment Encourage Plain and Sustainable Living, LLG others 6) Encourage plain and sustainable Living 7) Celebrate work well done Labor Learning Goals (LLG) 1) To develop and sustain habits of understanding all working as both independent and interdependent

Baltisberger, Jay H.

451

Numerical Simulation Study to Investigate Expected Productivity Improvement Using the "Slot-Drill" Completion  

E-Print Network [OSTI]

The "slot-drill" completion method, which utilizes a mechanically cut high-conductivity "slot" in the target formation created using a tensioned abrasive cable, has been proposed as an alternative stimulation technique for shale-gas and other low...

Odunowo, Tioluwanimi Oluwagbemiga

2012-07-16T23:59:59.000Z

452

Texas Adapted Genetic Strategies for Beef Cattle--08: Expected Progeny Difference  

E-Print Network [OSTI]

comparisons to ani- mals managed alike in a contemporary group. To facilitate compar- isons, ratios of performance within a contemporary group were some- times calculated, but these ratios still contained unaccounted-for dif- ferences between groups. Progress... a71 Ultrasound measures?For Ribeye Area, Ribeye Fat Thickness, Rump Fat Thickness, Retail Product, and Ribeye IMF (intramuscular fat, in percent), which is a predictor of marbling a71 Mature Daughter Height and Weight?In inches and pounds; measures...

Hammack, Stephen P.; Paschal, Joseph C.

2003-08-20T23:59:59.000Z

453

Forest Optimal Rotation and Land Expectation Values under Carbon Sequestration and Radiation Budget.  

E-Print Network [OSTI]

??International efforts strife to mitigate negative externalities caused by man released greenhouse gasses. Attributing an economical value to forest carbon sequestration might represent is an (more)

Wei, Hui-Chun

2013-01-01T23:59:59.000Z

454

Surpassing Expectations: State of the U.S. Wind Power Market  

E-Print Network [OSTI]

up their activities: Clipper Windpower is in the process ofof January 2008. Nordic Windpower, a manufacturer of two-

Bolinger, Mark A

2009-01-01T23:59:59.000Z

455

What to Expect when being Processed for a Department of Energy Security Clearance or Access Authorization  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energyon ArmedWaste and Materials Disposition InformationWindWoodDepartmenteGallon:` [6WHAT

456

,"Texas Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPriceDry Natural GasCrude Oil + LeaseDry

457

,"Texas State Offshore Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPriceDry Natural GasCrudeCrude Oil + LeaseDry

458

,"Texas--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPriceDryCoalbedCrude Oil

459

,"Utah Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves in NonproducingU.S. Underground Natural

460

,"Utah Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves in NonproducingU.S. Underground NaturalPrice (DollarsPlant

Note: This page contains sample records for the topic "ivory coast-are expected" 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

,"Utah and Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves in NonproducingU.S. UndergroundVolumeNonassociated

462

,"Virginia Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves in NonproducingU.S.Summary" ,"ClickCoalbedDry

463

,"Wyoming Dry Natural Gas Expected Future Production (Billion Cubic Feet)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves inDry Natural GasPlant+ Lease Condensate Proved

464

,"Wyoming Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves inDry Natural GasPlant+ Lease CondensatePlant Liquids,

465

Gulf of Mexico Federal Offshore Dry Natural Gas Expected Future Production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam CoalReserves (Million Barrels) + Lease200 Meters Deep

466

Active hurricane season expected to shut-in higher amount of oil and natural gas production  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region,Purchases211 20149.ARenewablesD

467

Average summer electric power bills expected to be lowest in four years  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by9 U.S. EnergyDecadesummer electric power

468

UnSec_Memo_ProjectManagementExpectationsFinancialAssistance_23June06.pdf |  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' Research Petroleum ReserveDepartment of EnergyDepartmentSankar Sambasivan

469

WHAT CAN I EXPECT FROM THE HEADQUARTERS MEDIATION PROCESS? | Department of  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartment of EnergyofProject is onModeling andReportandV ieLaboratory in

470

1. Devaluation of 100% which is expected to improve the trade balance by making their  

E-Print Network [OSTI]

on imported crops and price supports for small growers are to be elimi- nated. There are big grants available Bank loan to build a huge hydro-electric dam. 4. Privatization of telephone, gas and electric household role-group is made up of similar concerns. The household role groups have 45 minutes to caucus

471

WPP, No. 108: Information Structural Expectations in the Perception of Prosodic Prominence  

E-Print Network [OSTI]

sentence I bought a motorcycle. , recorded as answer toNo, because I bought a motorcycle. UCLA Working Papers inNo, because I bought a motorcycle, recorded as an answer to

Bishop, Jason

2010-01-01T23:59:59.000Z

472

Plateau border bulimia transition: discontinuities expected in three simple experiments on 2D liquid foams  

E-Print Network [OSTI]

be observable. II. 2D GLASS-GLASS FOAM GEOMETRICAL VADEMECUM In the present section, we shall provide a geometri- cal description and some corresponding results for two- dimensional foams squeezed between two glass liquid foams Pierre Rognon, Fran¸cois Molino, and Cyprien Gay Centre de Recherche Paul Pascal, CNRS, UPR

Paris-Sud XI, Université de

473

Plateau border bulimia transition: discontinuities expected in three simple experiments on 2D liquid foams  

E-Print Network [OSTI]

be observable. II. 2D GLASS-GLASS FOAM GEOMETRICAL VADEMECUM In the present section, we shall provide a geometri- cal description and some corresponding results for two- dimensional foams squeezed between two glass liquid foams Pierre Rognon, Fran#24;cois Molino, and Cyprien Gay #3; Centre de Recherche Paul Pascal

Recanati, Catherine

474

Special Publication No. 3, Ticks and Tickborne Diseases, II. Hosts, Part 1. A-F  

E-Print Network [OSTI]

., (1959E), 1-63) (Banvayo, Ivory Coast) Haemaphysalis parmata (Morel, P. C., (1963A), 33- 40) (Ivory Coast) Hyalomma truncatum (Morel, P. C. & Mouchet, J., (1965A), 477-496) (Cameroun) Rhipicephalus guilhoni (Morel, P. C. & Mouchet, J. , (1965A), 477..., ?., (1967A), 281-405) (Ta'l, Ivory Coast) "AGOUTI" Mamm. Rodentia Amblyomma cayennense (Floch, ?. , (1956b), 1-235) (Inini) Amblyomma oblongoguttatum (Floch, H. & Abonnenc, ?. , (1940A), 1 -46) (r?gion de l'Approuague, French Guiana) AGOUTI Mamm...

Doss, Mildred A.; Farr, Marion M.; Roach, Katharine F.; Anastos, George

1974-01-01T23:59:59.000Z

475

OPERATIONAL AND LABORATORY CAPABILITIES "JOIDES RESOLUTION"  

E-Print Network [OSTI]

moved to the Ivory Coast offshore West Africa and drilled several wells in water depths of 1000 ft (305 a pipeline in the North Sea. The ship hovered over a high-pressure gas line running from the middle

476

A Comparison of the Effects of Petroleum Substances on the Settlement of the Eastern Oyster, Crassostrea virginica  

E-Print Network [OSTI]

of the ivory barnacle, Balanus eberneus, and Dermo disease infection were assessed. Settlement of oyster larvae occurred in all three groups with no significant difference of preference; algae and sediment present on the shells coupled with the presence...

Alsept, Karen Sue

2012-10-19T23:59:59.000Z

477

Les Underhill and Dieter Oschadleus  

E-Print Network [OSTI]

and adventure, not dis- tanced from the ivory towers where there is only space for a few well-qualified people in the agricultural sector. Some weavers pose a threat to energy security as their nests on transmission lines cause

de Villiers, Marienne

478

30 January 2012 China puts space-age seal on African role  

E-Print Network [OSTI]

and Libya. But Europeans, who contribute the largest part of AU project finance, appeared comprehensively in Ivory Coast and the Nato-backed rebellion in Libya split the continent, neither the South African

479

L E T T E R F R O M T H E P R E S I D E N T NJIT Is Engaged  

E-Print Network [OSTI]

"ivory towers" isolated from the daily con- cerns of most people and their communities, this is certainly against deliberate damage. NJIT's engagement is truly global as well. The ongoing investigation of solar

Bieber, Michael

480

Geoarchaeological Investigations into Paleoindian Adaptations on the Aucilla River, Northwest Florida  

E-Print Network [OSTI]

sites dating from Clovis to the Early Archaic and possibly earlier (Dunbar 2002; Milanich 1994; Purdy 2008; Webb 2006). These include beveled ivory rods, worked bone, and bone beads (Hemmings 2004) along with finely-worked high-quality stone... early discoveries in the ?Melbourne bone bed? (Sellards et al. 1917), but either the age of the items was not recognized or artifact contexts were considered controversial. Beveled ivory rods reported by Jenks and Simpson (1941) were compared to rods...

Halligan, Jessi

2012-07-16T23:59:59.000Z

Note: This page contains sample records for the topic "ivory coast-are expected" 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

Three Sources of Disjunction in a Typed Feature Structurebased Resolution  

E-Print Network [OSTI]

coffee. (d) The Ukranian drinks tea. (e) The green house is immediately to the right of the ivory house) The Englishman lives in the red house. (b) The Spaniard owns the dog. (c) The man in the green house drinks, it is not only true that objects of type ivory, blue, red, yellow, and green are of type col­type 4 , but also

Carpenter, Bob

482

Geological Modeling of Dahomey and Liberian Basins  

E-Print Network [OSTI]

eastern Ivory Coast, off Benin and western Nigeria, and off the Brazilian conjugates of these areas), while large areas were subjected to transform rifting (northern Sierra Leone, southern Liberia, Ghana and the Brazilian conjugates of these areas...). The future Demerara-Guinea marginal plateaus were also progressively subjected to this new rifting event. Stage 2: In Aptian times, the progress of rifting resulted in the creation of small divergent Basins (off northern Liberia, eastern Ivory Coast, Benin...

Gbadamosi, Hakeem B.

2010-01-16T23:59:59.000Z

483

A Late Bronze Age shipwreck at Ulu Burun: preliminary analysis (1984-1985 excavation campaigns)  

E-Print Network [OSTI]

and hippopotamus ivory, and Canaanite jars filled with resin and orpiment. Cargo of manufactured goods included glass beads, Cypriot pottery and possibly foodstuffs; it is probable that the Mycenaean pottery on the wreck was for shipboard use. Other finds... THE DISCOVERY THE EXCAVATION Page 12 THE LADING OF THE SHIP THE INGOTS THE POTTERY THE GLASS THE IVORY THE TOOLS THE WEAPONS THE JEWELRY THE MISCELLANEOUS FINDS . 14 25 39 . 69 . 75 91 103 121 THE HULL 129 DISCUSSION AND CONCLUSION NOTES...

Pulak, Cemal

2012-06-07T23:59:59.000Z

484

Children's Work: Girls as Acolytes in Aegean Ritual and Cult  

E-Print Network [OSTI]

by her girl attendants, the monkey, and grif?n, although no enthroned ?gure is pre- served on the ivory. Some of the architectural elements visible on the ivory pyxis are also found in Minoan depictions of palaces and peak sanctuaries; such small...: Rethinking Minoan Archaeology, ed. Y. Hamilakis, Oxford, pp. 98117. Alcock, S. E. 1993. Graecia Capta: The Landscapes of Roman Greece, Cambridge. Alefeld, Y.-P. 1996. Gttliche Kinder: Die Kindheitsideologie in der Roman- tik, Paderborn. Alexandri, O...

Rehak, Paul

2007-01-01T23:59:59.000Z

485

M.S. Economic Geology, Oregon State University College of Earth, Ocean, and Atmospheric Sciences, Corvallis, OR Expected Spring, 2015  

E-Print Network [OSTI]

EDUCATION M.S. Economic Geology, Oregon State University College of Earth, Ocean. Dilles Relevant Courses Interpretation of Geologic Maps Igneous Petrology Tectonic Geomorphology B.S. Geology, University of Idaho College of Science, Moscow, ID; GPA: 3

Kurapov, Alexander

486

Tracking Progress Last updated 6/2/2014 Current and Expected Energy From Coal for California 1  

E-Print Network [OSTI]

2007 to 2012, energy from in-state coal and petroleum (pet) coke plants declined by 62 percent. These trends are shown in Figure 1. Eight in-state coal and pet coke plants retired or stopped operating in 2011 and 2012. Of the 16 in-state coal and pet coke plants that once operated in California, only two

487

KIMBERLY L. SHELLA University of California Irvine. Irvine, CA. PhD, expected August 2014. Department of Political  

E-Print Network [OSTI]

. Department of Political Science, September 2006 - Present. Dissertation: "Immigrant and Institutions, Department of Political Science and Professor Steven Gregory, Department of Anthropology University of Chicago. Chicago, IL. A.M., Political Science, June 1999. M.A. Thesis Advisor: Professor Michael Dawson

Loudon, Catherine

488

Copyright 2004, School of Meteorology, University of Oklahoma. Rev 04/04 Knowledge Expectations for METR 4424  

E-Print Network [OSTI]

the specific topics and order listed here. Pre-requisites: Grade of C or better in METR 3123, METR 3223, School of Meteorology, University of Oklahoma. Rev 04/04 · Understand the utility and limitations of data devices (i.e., radar and satellites). · Understand the utility and limitations of numerical methods used

Droegemeier, Kelvin K.

489

When innovativeness in form matters: the joint impact of form innovativeness and expected innovativeness type on product evaluations over time  

E-Print Network [OSTI]

(1994) Newness of technology X X + Robinson (1990) Degree of innovation perceived by consumer when project began. X X NS Sethi (2000) How novel the product was to the firm. Using newness scale of Booz, Allen & Hamilton (1982). X X..., Ruskert, and Walker Jr. (2002) New-to-the-world, new-to-the-firm, line extension, product modification, process modification (Booz-Allen & Hamilton) X X X NS Cooper (1984) 10 point likert scale of innovativeness as part of nature of products...

Kroff, Michael William

2007-09-17T23:59:59.000Z

490

Z .ISPRS Journal of Photogrammetry & Remote Sensing 54 1999 6467 Airborne laser scanning--present status and future expectations  

E-Print Network [OSTI]

initially possible by pulse lasers operating in the near infrared, which gave clearly recordable return signals after diffusion and reflection on the ground. The travel times are recorded to nearly 10y10 shot, the spatial vector from the laser platform to the point of reflection is estab- lished, thus

Lefsky, Michael

491

ORMS Undergraduate Student Learning Goals All Operations Research and Management Science graduates are expected to acquire the  

E-Print Network [OSTI]

ORMS Undergraduate Student Learning Goals All Operations Research and Management Science graduates to the solution of societal problems, · Ability to design and conduct experiments, analyze, and interpret data, · Ability to design system and operating policies to meet desired needs, · Ability to function on multi

California at Irvine, University of

492

A MESSAGE FROM THE LABORATORY DIRECTOR As Director of Brookhaven National Laboratory (BNL), I expect nothing less than  

E-Print Network [OSTI]

of treated water to the Upper Glacial Aquifer. The Upton Ecological and Research Reserve continues to produce groundwater remediation systems removed 510 pounds of chemicals and returned approximately 1.3 billion gallons

Homes, Christopher C.

493

Graphene plasmons, the collective oscillations of Dirac fermions, are difficult to probe near charge neutrality where new physics are expected  

E-Print Network [OSTI]

Graphene plasmons, the collective oscillations of Dirac fermions, are difficult to probe near-neutral graphene nanoribbons (GNRs, Fig.(a)) and identified this mode with the so-called upper-hybrid mode (UHM-dimensional electron systems, from that of highly doped graphene, as well as from that of magnetoexcitons. High

McQuade, D. Tyler

494

Comparative study of social economic differences in relation to technology competency expectations as perceived by business and educational leaders  

E-Print Network [OSTI]

in the selected schools in San Antonio by participating in curriculum development or as partnerships within the schools. All teachers had a high level of understanding about the importance of technology competencies for students. Furthermore, they believed...

Reyna, Janice Mae

2007-04-25T23:59:59.000Z

495

Current state of development and expected performance of copper-lithium alloys as an impurity control system in fusion applications  

SciTech Connect (OSTI)

A new approach to impurity control involves the development of materials displaying both strong surface segregation of a low-Z component and high secondary ion fractions in the sputtering of that component. Key issues that have been studied with particular reference to copper-lithium alloys relate to the completeness of the overlayer, its rate of formation in a reactor environment, lowering of substrate sputtering and self-sputtering yields, durability of the overlayer, and depletion of the bulk alloy in the low-Z component. Other factors that must be considered in the materials selection process relate to response to disruptions, heat transfer, thermal stress, fabricability, radiation damage, activation, and tritium permeation. Copper-lithium alloys have been evaluated as a surface material for the impurity control system of the INTOR reactor. Both the medium-edge temperature limiter regime and the low-edge temperature divertor regime were examined. The analysis used TRIM code data to predict sputtering coefficients for copper-lithium with a 1.5 monolayer coverage of lithium. The REDEP code was used to evaluate the erosion performance for INTOR. Other properties such as fabrication and thermal performance were also briefly assessed. It was found from the standpoint of erosion that copper-lithium is a very good candidate material for the medium-edge temperature regime and also works well in the low-edge temperature regime. For the medium-edge temperature regime, the use of copper-lithium results in an almost negligible erosion rate over the entire surface.

Brooks, J.N.; Gruen, D.M.; Krauss, A.R.; Mattas, R.F.; DeWald, A.B.

1985-01-01T23:59:59.000Z

496

What information is necessary for speech categorization? Harnessing variability in the speech signal by integrating cues computed relative to expectations  

E-Print Network [OSTI]

) and quantal theory (Stevens, 2002; Stevens & Keyser, 2010) posit invariant cues for some phonetic distinctions (cf., Sussman, Fruchter, Hilbert& Sirosh, 1998). Other approaches such as the version of exemplar theory posited in speech explicitly claim...

McMurray, Bob; Jongman, Allard

2011-04-01T23:59:59.000Z

497

[Preprint, expected 2008] [in D. Berti & G. Tarabout, eds., Territory, Soil and Society in South Asia, Delhi, Manohar  

E-Print Network [OSTI]

in France) of Dumont's general theory on Indian society, according to which political and economic power that corresponds to the former Kullu kingdom. I analyse how territory has been taught, organized, and transformed, essentially, to a territory inside which the inhabitants use to honour a specific deity. In a wider sense, hr

498

When you turn on your faucet and fill a glass with water, you expect it to be  

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. However, drinking water can contain gases, minerals, bacteria, metals or chemicals that can affect your water that does not meet those stan- dards. Drinking Water Standards The U.S. Environmental Protection of harmful pollutants: · pathogens, which are disease-causing organ- isms such as bacteria, fungi or viruses

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The Whole Truth and Nothing But theThe Whole Truth and Nothing But the Truth: Academic Expectations Revealed  

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units (some degrees require more) Minor or Elective 1824 units General Education 18 24 units 51 units, and society) as well as indepth study in a specific area of interest. A liberal education helps students Educationcomplete ONE course per area. 4. List of courses that complete the requirement are within each area 5

de Lijser, Peter

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RESIDENCE ALCOHOL POLICY Residence students are expected to use alcohol responsibly and to follow the University Alcohol  

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of a student's room must be in personalized plastic containers or cans. Students who wish to transport open alcohol within the residence may do so only in a covered personalized plastic container. Cases of beer are not considered personalized containers and therefore are not permitted for consumption in common areas. Unopened