Sample records for total stream day

  1. Horizontal structure of winter time 250 mb jet stream variations on the fifteen day time scale

    E-Print Network [OSTI]

    Park, Sangwook

    1993-01-01T23:59:59.000Z

    % of the cases, three quarters of these cases being overlaps a day or less, and only 2% of the total number of cases being overlaps of three days. In ten cases (Dec. 2nd half of 1969, 1971, Jan. 1st half of 1970, 1973, Jan. 2nd half of 1970, 1973, 1982, Feb. 1... wind speed for 24 years. (a) Nov. 2nd half (b), (c) Dec. 1st and 2nd half (d), (e) Jan. 1st and 2nd half (f) Feb. 1st half from 1965(66) to 1988(89). The contour interval is 5 ms 17 Ncv. 2hf '161 128E 128V 68E r % al 'k' 38E 'I tres I-'S rr...

  2. STREAM

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements RecentlyElectronicResourcesjobsJuly throughR E Q UnaturalSTREAM STREAM

  3. Total..........................................................

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

    1.3 0.8 0.5 Once a Day... 19.2 4.6 3.0 1.6 Between Once a Day and Once a Week... 32.0 8.9 6.3 2.6 Once a...

  4. Thermoelectric-power water withdrawals by cooling type, 2005. [Values may not sum to totals because of independent rounding. All values are in million gallons per day

    E-Print Network [OSTI]

    Thermoelectric-power water withdrawals by cooling type, 2005. [Values may not sum to totals because,190 5,850 .33 .01 0 273 273 New Mexico.............. 0 0 0 0 0 10.4 0 45.5 0 55.9 New York

  5. Fuel-cell engine stream conditioning system

    DOE Patents [OSTI]

    DuBose, Ronald Arthur (Marietta, GA)

    2002-01-01T23:59:59.000Z

    A stream conditioning system for a fuel cell gas management system or fuel cell engine. The stream conditioning system manages species potential in at least one fuel cell reactant stream. A species transfer device is located in the path of at least one reactant stream of a fuel cell's inlet or outlet, which transfer device conditions that stream to improve the efficiency of the fuel cell. The species transfer device incorporates an exchange media and a sorbent. The fuel cell gas management system can include a cathode loop with the stream conditioning system transferring latent and sensible heat from an exhaust stream to the cathode inlet stream of the fuel cell; an anode humidity retention system for maintaining the total enthalpy of the anode stream exiting the fuel cell related to the total enthalpy of the anode inlet stream; and a cooling water management system having segregated deionized water and cooling water loops interconnected by means of a brazed plate heat exchanger.

  6. Bit-Rate Allocation for Multiple Video Streams Using a Pricing-Based Mechanism

    E-Print Network [OSTI]

    Tiwari, M.; Groves, T.; Cosman, P.

    2011-01-01T23:59:59.000Z

    total available supply. (a) g8 video stream. (b) g9 video100 kb per slot per user. (a) g8 video stream. (b) g11 videoand demand normalization. (a) g8 video stream. (b) g9 video

  7. Relating fish biomass to habitat and chemistry in headwater streams of the northeastern United States

    E-Print Network [OSTI]

    Kraft, Clifford E.

    Relating fish biomass to habitat and chemistry in headwater streams of the northeastern United influencing total fish biomass in streams, but few studies have evaluated the relative influence of habitat and pH together. We measured total fish biomass, stream habitat, and stream pH in sixteen sites from

  8. Geyserville: 1000 Feet in 110 Days

    E-Print Network [OSTI]

    Morton, Chuck; Cashin, Charlotte

    2007-01-01T23:59:59.000Z

    total of 110 days. Extensive coordination with the resource agencies (Army Corps of Engineers, Regional Water Quality Control

  9. Ecohydrologic Effects of Stream Restoration

    E-Print Network [OSTI]

    Mount, Jeffrey F; Hammersmark, Christopher T

    2007-01-01T23:59:59.000Z

    and D. E. Wise. 2003. Stream Restoration: A Natural ChannelDesign Handbook. NC Stream Restoration Institute, NC Statethe Hydrological Effects of Stream Restoration in a Montane

  10. Day 1 Day 2 Day 3 Day 4 Day 5 Cold cereal Toast Oatmeal Cold cereal Scones

    E-Print Network [OSTI]

    Farritor, Shane

    Water Milk Black Bean Salsa/Water Milk Milk Day 1 Day 2 Day 3 Day 4 Day 5 Ranch Crackers Day 1 Day 2 Day 3 Day 4 Day 5 Bean Burrito Veggie Pizza Chicken Alfredo Ham slices/Cheese Hummus Sand. Bean Taco Cheesey Hashbrown Casserole Bean and Noodles Italian Blend

  11. Stream Temperature Response to Three Riparian Vegetation Scenarios

    E-Print Network [OSTI]

    Selker, John

    of longwave radiation at night, the effect ofvegetationon,andthebiologicalimplicationsof,minimum stream on stream temperature alterations from solar radiation loading have focused, in part, on shading effects (10 for three cloud-free days in August 2007 over a 1260 m stretch of the Boiron de Morges River in southwest

  12. Total Precipitable Water

    SciTech Connect (OSTI)

    None

    2012-01-01T23:59:59.000Z

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

  13. Inventory of miscellaneous streams

    SciTech Connect (OSTI)

    Lueck, K.J.

    1995-09-01T23:59:59.000Z

    On December 23, 1991, the US Department of Energy, Richland Operations Office (RL) and the Washington State Department of Ecology (Ecology) agreed to adhere to the provisions of the Department of Ecology Consent Order. The Consent Order lists the regulatory milestones for liquid effluent streams at the Hanford Site to comply with the permitting requirements of Washington Administrative Code. The RL provided the US Congress a Plan and Schedule to discontinue disposal of contaminated liquid effluent into the soil column on the Hanford Site. The plan and schedule document contained a strategy for the implementation of alternative treatment and disposal systems. This strategy included prioritizing the streams into two phases. The Phase 1 streams were considered to be higher priority than the Phase 2 streams. The actions recommended for the Phase 1 and 2 streams in the two reports were incorporated in the Hanford Federal Facility Agreement and Consent Order. Miscellaneous Streams are those liquid effluents streams identified within the Consent Order that are discharged to the ground but are not categorized as Phase 1 or Phase 2 Streams. This document consists of an inventory of the liquid effluent streams being discharged into the Hanford soil column.

  14. GIS Day(s) Palooza Extravaganza 2013

    E-Print Network [OSTI]

    Weimer, Kathy

    2014-10-22T23:59:59.000Z

    A summary of the Texas A & M University GIS Day 2013 outreach and instruction events, presented to TAMU Libraries staff....

  15. Blazing and grazing: influences of fire and bison on tallgrass prairie stream water quality

    E-Print Network [OSTI]

    Dodds, Walter

    Blazing and grazing: influences of fire and bison on tallgrass prairie stream water quality Danelle for maintaining and managing tallgrass prairie, but we know little about their influences on water-quality dynamics in streams. We analyzed 2 y of data on total suspended solids (TSS), total N (TN), and total P (TP

  16. INTERNATI NAL CAREERS DAY

    E-Print Network [OSTI]

    Melham, Tom

    experience working in a fast changing and dynamic environment within a high exposure, high profile Australia Future Unlimited BMW Group BUNAC CharityWorks Civil Service Fast Stream College of Europe Contact

  17. Pierre Y. Julien Stream Rehabilitation

    E-Print Network [OSTI]

    Julien, Pierre Y.

    Part I - Stream restoration and rehabilitation: 1. Present and discuss important concepts, laws to stream restoration projects. Three Laws of Stream Restoration Example Showing the Impact of Deforestation their Government #12;6 #1 There is no cookbook approach to stream restoration projects. #2 Solutions normally seek

  18. Day 1 Day 2 Day 3 Day 4 Day 5 Whole Grain Cereal Bagel Oatmeal Whole Grain Cereal Scones

    E-Print Network [OSTI]

    Powers, Robert

    Apple Sauce WG Chips, Crackers for Pre.Tod. Nutrigrain Bar Teachers choice Water Milk Black Bean Salsa/Water Week 5 Week 1 #12;LUNCH Day 1 Day 2 Day 3 Day 4 Day 5 Black Bean Quesadilla Hummus Sand. w Meatball Sub. Veg. Burger Apricots Fresh Oranges Fresh Zucchini Green Beans Fresh Sweet Potatoes Milk Milk

  19. TOTAL M F Total M F Total M F Total M F Total M F Total M F Total M F Total M F Total M F Total M F Total M F Total M F Total Spring 2010

    E-Print Network [OSTI]

    Hayes, Jane E.

    202 51 *total new freshmen 684: 636 Lexington campus, 48 Paducah campus MS Total 216 12 5 17 2 0 2 40 248 247 648 45 210 14 *total new freshmen 647: 595 Lexington campus, 52 Paducah campus MS Total 192 14

  20. E-Science Day

    E-Print Network [OSTI]

    Abad, Raquel

    2012-01-01T23:59:59.000Z

    on December 6, 2011, E-Science Day was a day-long event,regional librarians in e-science, and to expose regionalthe initiation of e-science support projects within their

  1. Argonne's Earth Day 2011

    ScienceCinema (OSTI)

    None

    2013-04-19T23:59:59.000Z

    Argonne celebrated Earth Day on April 21, 2011 with an event that featured green activities and information booths.

  2. Lone Star Healthy Streams: Keeping Texas streams clean

    E-Print Network [OSTI]

    Boutwell, Kathryn S.

    2013-01-01T23:59:59.000Z

    time. #31;is prevents fecal material from accumulating in creek pastures during rainy seasons and ending up in streams. ?Results showed that when alternative o -stream water was provided, the amount of time ca#20;le spent in the creek was reduced... Corporation. LONE STAR HEALTHY STREAMS Keeping Texas streams clean Think contaminated water only occurs in developing countries? Even in the United States, high levels of bacteria in some water bodies make them potentially unsuitable for recreation...

  3. REX WALHEIM, MS-2 (GREEN) Meal Day 1* Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 -JULY 4th MEAL

    E-Print Network [OSTI]

    Special Meal **Day 13 consists of Meals A and B only (B) - Beverage, (FF) - Fresh Food, (I) - Irradiated

  4. Stream aquifer interactions: analytical solution to estimate stream depletions caused by stream stage fluctuations and pumping wells near streams

    E-Print Network [OSTI]

    Intaraprasong, Trin

    2009-05-15T23:59:59.000Z

    This dissertation is composed of three parts of contributions. Systems of a fully penetrating pumping well in a confined aquifer near a fully penetrating stream with and without streambeds are discussed in Chapter II. In Chapter III, stream-aquifer...

  5. Stream aquifer interactions: analytical solution to estimate stream depletions caused by stream stage fluctuations and pumping wells near streams 

    E-Print Network [OSTI]

    Intaraprasong, Trin

    2009-05-15T23:59:59.000Z

    This dissertation is composed of three parts of contributions. Systems of a fully penetrating pumping well in a confined aquifer near a fully penetrating stream with and without streambeds are discussed in Chapter II. In Chapter III, stream-aquifer...

  6. Name: ____________________ Stream Profile Lab 1

    E-Print Network [OSTI]

    Name: ____________________ Stream Profile Lab 1 LAB 4. Stream Profiles and Mass Balance: Supply vs hillslope diffusion experiments. We will now examine a slightly more complicated profile-evolution model on longitudinal channel profile shapes. The Questions: I. Why do streams generally have concave profiles

  7. National Day of Remembrance

    ScienceCinema (OSTI)

    None

    2013-03-01T23:59:59.000Z

    Ames Laboratory observed the National Day of Remembrance for weapons workers from the Cold War era with a ceremony held Oct. 27, 2009 at the Ames Public Library.

  8. National Day of Remembrance

    SciTech Connect (OSTI)

    None

    2010-01-01T23:59:59.000Z

    Ames Laboratory observed the National Day of Remembrance for weapons workers from the Cold War era with a ceremony held Oct. 27, 2009 at the Ames Public Library.

  9. Celebrating Pi Day

    Broader source: Energy.gov [DOE]

    We are celebrating this Pi Day with a brief overview of the irrational and transcendental number known as Pi, with baked homophone.

  10. Conflict Resolution Day

    Broader source: Energy.gov [DOE]

    Conflict Resolution Day takes a look at mediation, conciliation, negotiation, arbitration, the ombudsman, and facilitation to resolve conflict in the workplace. Employees and contractors are...

  11. Gas stream cleanup

    SciTech Connect (OSTI)

    Bossart, S.J.; Cicero, D.C.; Zeh, C.M.; Bedick, R.C.

    1990-08-01T23:59:59.000Z

    This report describes the current status and recent accomplishments of gas stream cleanup (GSCU) projects sponsored by the Morgantown Energy Technology Center (METC) of the US Department of Energy (DOE). The primary goal of the Gas Stream Cleanup Program is to develop contaminant control strategies that meet environmental regulations and protect equipment in advanced coal conversion systems. Contaminant control systems are being developed for integration into seven advanced coal conversion processes: Pressurized fludized-bed combustion (PFBC), Direct coal-fueled turbine (DCFT), Intergrated gasification combined-cycle (IGCC), Gasification/molten carbonate fuel cell (MCFC), Gasification/solid oxide fuel cell (SOFC), Coal-fueled diesel (CFD), and Mild gasification (MG). These advanced coal conversion systems present a significant challenge for development of contaminant control systems because they generate multi-contaminant gas streams at high-pressures and high temperatures. Each of the seven advanced coal conversion systems incorporates distinct contaminant control strategies because each has different contaminant tolerance limits and operating conditions. 59 refs., 17 figs., 5 tabs.

  12. Holocaust Days of Remembrance

    Broader source: Energy.gov [DOE]

    The United States Congress established the Days of Remembrance as our nation’s annual commemoration of the Holocaust and created the United States Holocaust Memorial Museum as a permanent living...

  13. National Bioenergy Day 2014

    Broader source: Energy.gov [DOE]

    Bioenergy, the use of agricultural waste and forestry byproducts to generate heat and energy, will be celebrated during the second annual National Bioenergy Day on October 22, 2014. This is an...

  14. HOLOCAUST REMEMBRANCE DAY

    Broader source: Energy.gov [DOE]

    The United States Congress established the Days of Remembrance as our nation’s annual commemoration of the Holocaust and created the United States Holocaust Memorial Museum as a permanent living memorial to the victims.

  15. WHY ARE STREAMWHY ARE STREAM IMPROVEMENTSIMPROVEMENTS

    E-Print Network [OSTI]

    Gray, Matthew

    of degraded stream are in need of36,000 miles of degraded stream are in need of restoration (USFWS)restoration Restore, enhance and protect riparian wildlife corridors STREAM RESTORATIONSTREAM RESTORATION The process ecological value Stream restorationStream restoration is an improvementis an improvement to cha

  16. TRACING THE ORPHAN STREAM TO 55 kpc WITH RR LYRAE STARS

    SciTech Connect (OSTI)

    Sesar, Branimir; Cohen, Judith G.; Bellm, Eric C.; Levitan, David; Tang, Sumin; Waszczak, Adam; Kulkarni, Shrinivas R.; Prince, Thomas A. [Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125 (United States); Grillmair, Carl J.; Laher, Russ R.; Surace, Jason A. [Spitzer Science Center, California Institute of Technology, Pasadena, CA 91125 (United States); Bhalerao, Varun B. [Inter-University Centre for Astronomy and Astrophysics, Post Bag 4, Ganeshkhind, Pune 411 007 (India); Ofek, Eran O., E-mail: bsesar@astro.caltech.edu [Benoziyo Center for Astrophysics, Weizmann Institute of Science, 76100 Rehovot (Israel)

    2013-10-10T23:59:59.000Z

    We report positions, velocities, and metallicities of 50 ab-type RR Lyrae (RRab) stars observed in the vicinity of the Orphan stellar stream. Using about 30 RRab stars classified as being likely members of the Orphan stream, we study the metallicity and the spatial extent of the stream. We find that RRab stars in the Orphan stream have a wide range of metallicities, from –1.5 dex to –2.7 dex. The average metallicity of the stream is –2.1 dex, identical to the value obtained by Newberg et al. using blue horizontal branch stars. We find that the most distant parts of the stream (40-50 kpc from the Sun) are about 0.3 dex more metal-poor than the closer parts (within ?30 kpc), suggesting a possible metallicity gradient along the stream's length. We have extended the previous studies and have mapped the stream up to 55 kpc from the Sun. Even after a careful search, we did not identify any more distant RRab stars that could plausibly be members of the Orphan stream. If confirmed with other tracers, this result would indicate a detection of the end of the leading arm of the stream. We have compared the distances of Orphan stream RRab stars with the best-fit orbits obtained by Newberg et al. We find that model 6 of Newberg et al. cannot explain the distances of the most remote Orphan stream RRab stars, and conclude that the best fit to distances of Orphan stream RRab stars and to the local circular velocity is provided by potentials where the total mass of the Galaxy within 60 kpc is M{sub 60} ? 2.7 × 10{sup 11} M{sub ?}, or about 60% of the mass found by previous studies. More extensive modeling that would consider non-spherical potentials and the possibility of misalignment between the stream and the orbit is highly encouraged.

  17. Innovative Mercury Treatment Benefits Stream, Fish | Department...

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

    Mercury Treatment Benefits Stream, Fish Innovative Mercury Treatment Benefits Stream, Fish October 1, 2012 - 12:00pm Addthis Oak Ridge scientists Kelly Roy, left, and Trent Jett...

  18. NanoDays

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck PlatooningJefferson7593 LECTIJHES ONTheStorage -NanoDays

  19. Texas Stream Team Special Projects

    E-Print Network [OSTI]

    Texas Stream Team Special Projects · TMDL and Watershed Protection Plan Projects · Steering ­ Transparency tube ­ E. coli · Web site resources · Materials ­ Maps, Watershed Models Orange County Adams training sessions · Quality control · NPS education sessions · Volunteers of the month · Orange county

  20. Proceedings, Dean's Day 1999

    SciTech Connect (OSTI)

    Zanner, M.A.

    1999-03-01T23:59:59.000Z

    On January 14--15, 1999, Sandia National Laboratories sponsored Deans Day, a conference for the Deans of Engineering and other executive-level representatives from 29 invited universities. Through breakout sessions and a wrap-up discussion, university and Sandia participants identified activities to further develop their strategic relationships. The four primary activities are: (A) concentrate joint efforts on current and future research strengths and needs; (B) attract the best students (at all grade levels) to science and engineering; (C) promote awareness of the need for and work together to influence a national science and technology R and D policy; and (D) enable the universities and Sandia to be true allies, jointly pursuing research opportunities and funding from government agencies and industry.

  1. Fate of anthracene in an artificial stream: a case study

    SciTech Connect (OSTI)

    Landrum, P.F.; Bartell, S.M.; Giesy, J.P.; Leversee, G.J.; Bowling, J.W.; Haddock, J.; LaGory, K.; Gerould, S.; Bruno, M.

    1984-04-01T23:59:59.000Z

    The fate of anthracene, a representative polycyclic aromatic hydrocarbon, was followed in a large outdoor stream microcosm. The major nonadvective route for the removal of anthracene was photolytic degradation to anthraquinone (half-life 43 min). The anthraquinone also photolyzed rapidly in this shallow stream system. Excluding the plastic channel liner, the sediment acts as the major sink for anthracene, absorbing 0.2% of the 14-day input dose. The periphyton community was the second most important sink, absorbing 0.04% of the input dose. All other compartments were of significantly less importance on a mass basis. Anthracene (11 micrograms liter-1) caused photo-induced 100% mortality of the bluegill sunfish in 9 hr in the upstream reach. Fish at the downstream station survived for approximately 26 hr and all died within 1 hr of each other. Other organisms, clams and dragonfly larvae, started to die off toward the end of the 14-day input period.

  2. Comparing Stream Geomorphology and Channel Habitat along a Stream Restoration Gradient Sam Stewart

    E-Print Network [OSTI]

    Vallino, Joseph J.

    Comparing Stream Geomorphology and Channel Habitat along a Stream Restoration Gradient Sam Stewart University #12;Abstract Stream restoration is a growing science due to the realization that the human into a whole reach study. This involved selecting four stream sites that would create a stream restoration

  3. Streaming Compression of Hexahedral Meshes

    SciTech Connect (OSTI)

    Isenburg, M; Courbet, C

    2010-02-03T23:59:59.000Z

    We describe a method for streaming compression of hexahedral meshes. Given an interleaved stream of vertices and hexahedral our coder incrementally compresses the mesh in the presented order. Our coder is extremely memory efficient when the input stream documents when vertices are referenced for the last time (i.e. when it contains topological finalization tags). Our coder then continuously releases and reuses data structures that no longer contribute to compressing the remainder of the stream. This means in practice that our coder has only a small fraction of the whole mesh in memory at any time. We can therefore compress very large meshes - even meshes that do not file in memory. Compared to traditional, non-streaming approaches that load the entire mesh and globally reorder it during compression, our algorithm trades a less compact compressed representation for significant gains in speed, memory, and I/O efficiency. For example, on the 456k hexahedra 'blade' mesh, our coder is twice as fast and uses 88 times less memory (only 3.1 MB) with the compressed file increasing about 3% in size. We also present the first scheme for predictive compression of properties associated with hexahedral cells.

  4. Earth Day 2010: Earth Day 40th Anniversary Poster

    E-Print Network [OSTI]

    Nowacka, Izabela

    2010-01-01T23:59:59.000Z

    EGJ Issue 30 Earth Day 2010 ISSN 1076-7975 In celebration of 40 Earth Day the Electronic GreenEconomics, Poznan, Poland. Earth image used from www.sxc.hu.

  5. Dynamic visualization of data streams

    DOE Patents [OSTI]

    Wong, Pak Chung (Richalnd, WA); Foote, Harlan P. (Richland, WA); Adams, Daniel R. (Kennewick, WA); Cowley, Wendy E. (Richland, WA); Thomas, James J. (Richland, WA)

    2009-07-07T23:59:59.000Z

    One embodiment of the present invention includes a data communication subsystem to receive a data stream, and a data processing subsystem responsive to the data communication subsystem to generate a visualization output based on a group of data vectors corresponding to a first portion of the data stream. The processing subsystem is further responsive to a change in rate of receipt of the data to modify the visualization output with one or more other data vectors corresponding to a second portion of the data stream as a function of eigenspace defined with the group of data vectors. The system further includes a display device responsive to the visualization output to provide a corresponding visualization.

  6. Regional Estimation of Total Recharge to Ground Water in Nebraska

    E-Print Network [OSTI]

    Szilagyi, Jozsef

    )over long periods of time when the potential change in ground water storage becomes negligible compared storage other than discharge to streams. One such loss term is evapotranspiration (ET) from ground waterRegional Estimation of Total Recharge to Ground Water in Nebraska by Jozsef Szilagyi1m2,F. Edwin

  7. Oakland -- Strengthening a Neighborhood Through Stream Restoration [Roots

    E-Print Network [OSTI]

    Hood, Walter

    1995-01-01T23:59:59.000Z

    a Neighborhood Through Stream Restoration Walter Hoodproject in Oakland uses stream restoration as a tool fore slope restoration uses plant materials to,stabilize stream

  8. Trinity College Day Information Booklet

    E-Print Network [OSTI]

    O'Mahony, Donal E.

    1 Trinity College Day Nursery Parents Information Booklet 2010 Trinity Day Nursery House 49/50 Trinity College Dublin 2 Ireland Ph: 01 8962277 #12;2 Introduction The Day Nursery was set up in 1969. It provides care for children of students and staff of Trinity College. The Nursery has a maximum of 52 full

  9. Long-Term Data Reveal Patterns and Controls on Stream Water Chemistry in a Forested Stream: Walker Branch, Tennessee

    SciTech Connect (OSTI)

    Lutz, Brian D [Duke University; Mulholland, Patrick J [ORNL; Bernhardt, Emily [Duke University

    2012-01-01T23:59:59.000Z

    We present 20 years of weekly stream water chemistry, hydrology, and climate data for the Walker Branch watershed in eastern Tennessee, USA. Since 1989, the watershed has experienced a similar to 1.08 degrees C increase in mean annual temperature, a similar to 20% decline in precipitation, and a similar to 30% increase in forest evapotranspiration rates. As a result, stream runoff has declined by similar to 34%. We evaluate long-term trends in stream water concentrations and fluxes for nine solutes and use wet deposition data to calculate approximate watershed input-output budgets. Dissolved constituents were classified as geochemical solutes (Ca2+, Mg2+, and SO42-) or nutrients (NH4+, NO3-, soluble reactive phosphorus [SRP], total soluble nitrogen [TSN], total soluble phosphorus [TSP], and dissolved organic carbon [DOC]). Geochemical solutes are predominantly controlled by discharge, and the long-term changes in catchment hydrology have led to significant trends in the concentrations and fluxes of these solutes. Further, the trends in geochemical solute concentrations indicate shifting soil flowpath contributions to streamflow generation through time, with deep groundwater having a greater proportional contribution in recent years. Despite dramatic changes in watershed runoff, there were no trends in inorganic nutrient concentrations (NH4+, NO3-, and SRP). While most nutrients entering the watershed are retained, stream fluxes of nutrient solutes have declined significantly as a result of decreasing runoff. Nutrient concentrations in the stream exhibit large seasonality controlled by in-stream biological uptake. Stream benthic communities are sensitive to hydrologic disturbance, and changes in the frequency or intensity of storm events through time can affect nutrient fluxes. Stream NO3- concentrations are also sensitive to drought, with concentrations decreasing (increasing) if conditions during the three years prior to the time of sampling were drier (wetter) than the long-term mean. Future changes in the incidence of storm events, as well as the number and duration of droughts, have the potential to significantly alter watershed nutrient losses. Our analysis indicates that changing climates can differentially affect watershed element cycles either through changes in biogeochemical process rates or through changes in catchment hydrology. Furthermore, climate change can include both long-term trending in mean climate variables, as well as changes in the frequency and intensity of storms and droughts, with each of these types of change having distinct effects on the biological and geochemical processes governing different solutes.

  10. Modeling Tidal Streams in evolving dark matter halos

    E-Print Network [OSTI]

    Jorge Penarrubia; Andrew J. Benson; David Martinez-Delgado; Hans-Walter Rix

    2005-12-20T23:59:59.000Z

    We explore whether stellar tidal streams can provide information on the secular, cosmological evolution of the Milky Way's gravitational potential and on the presence of subhalos. We carry out long-term (~t_hubble) N-body simulations of disrupting satellite galaxies in a semi-analytic Galaxy potential where the dark matter halo and the subhalos evolve according to a LCDM cosmogony. All simulations are constrained to end up with the same position and velocity at present. Our simulations account for: (i) the secular evolution of the host halo's mass, size and shape, (ii) the presence of subhalos and (iii) dynamical friction. We find that tidal stream particles respond adiabatically to the Galaxy growth so that, at present, the energy and angular momentum distribution is exclusively determined by the present Galaxy potential. In other words, all present-day observables can only constrain the present mass distribution of the Galaxy independent of its past evolution. We also show that, if the full phase-space distribution of a tidal stream is available, we can accurately determine (i) the present Galaxy's shape and (ii) the amount of mass loss from the stream's progenitor, even if this evolution spanned a cosmologically significant epoch.

  11. Modeling the scalability of acrylic stream programs

    E-Print Network [OSTI]

    Wong, Jeremy Ng, 1981-

    2004-01-01T23:59:59.000Z

    Despite the fact that the streaming application domain is becoming increasingly widespread, few studies have focused specifically on the performance characteristics of stream programs. We introduce two models by which the ...

  12. Language and compiler support for stream programs

    E-Print Network [OSTI]

    Thies, William Frederick, 1978-

    2009-01-01T23:59:59.000Z

    Stream programs represent an important class of high-performance computations. Defined by their regular processing of sequences of data, stream programs appear most commonly in the context of audio, video, and digital ...

  13. Utility-Based Revenue Streams- Notes

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program October 2011 Workshop Summary of Revenue Streams from Breakout Sessions (11/20/11).

  14. Financial Institution-Based Revenue Streams-- Notes

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program October 2011 Workshop, Summary of Revenue Streams from Breakout Sessions (11/20/11).

  15. Customer-Based Revenue Streams-- Notes

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program October 2011 Workshop, Summary of Revenue Streams from Breakout Sessions (11/20/11).

  16. Contractor-Based Revenue Streams-- Notes

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program October 2011 Workshop, Summary of Revenue Streams from Breakout Sessions (11/20/11).

  17. Local Government-Based Revenue Streams-- Notes

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program October 2011 Workshop, Summary of Revenue Streams from Breakout Sessions (11/20/11).

  18. Live Streaming with Gossip Maxime Monod

    E-Print Network [OSTI]

    Guerraoui, Rachid

    Live Streaming with Gossip Maxime Monod June 30, 2010 #12;Regular TV: everything HD Live streaming A source produces multimedia content n viewers (n large) broadcasting ... ... ... IP TV, Web TV, P2P TV environment ·HEAP Heterogeneous environment ·LiFT Presence of freeriders Live Streaming with Gossip 25 #12

  19. Olefin Recovery from Chemical Industry Waste Streams

    SciTech Connect (OSTI)

    A.R. Da Costa; R. Daniels; A. Jariwala; Z. He; A. Morisato; I. Pinnau; J.G. Wijmans

    2003-11-21T23:59:59.000Z

    The objective of this project was to develop a membrane process to separate olefins from paraffins in waste gas streams as an alternative to flaring or distillation. Flaring these streams wastes their chemical feedstock value; distillation is energy and capital cost intensive, particularly for small waste streams.

  20. Stream quality among active and restoring

    E-Print Network [OSTI]

    Vallino, Joseph J.

    Stream quality among active and restoring river-based cranberry bogs Project By: Holly Engel and restoration. In this project, I assessed the quality and health of the streams in these bogs in comparison of Massachusetts has purchased several flow-through bogs and has been working to restore these stream and riparian

  1. SEA LAMPREY SPAWNING: Wisconsin and Minnesota Streams

    E-Print Network [OSTI]

    Examination of streams on Grand Island 3 Examination of streams in Wisconsin 3 Iron Counb7 3 Ashland County 3 5 3. Shoreline of Ashland County, Wisconsin 7 U* Shoreline of Cook County, Minnesota 12 5* Shoreline in Wisconsin (Iron, Ashland, and Bayfield Counties) were surveyed. In addition, all of the streams on Grand

  2. Total Light Management

    Broader source: Energy.gov [DOE]

    Presentation covers total light management, and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Providence, Rhode Island.

  3. Total Space Heat-

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

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

  4. Total Space Heat-

    Gasoline and Diesel Fuel Update (EIA)

    Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

  5. Innovative Manufacturing Initiative Recognition Day

    Broader source: Energy.gov [DOE]

    The Innovative Manufacturing Initiative (IMI) Recognition Day (held in Washington, DC on June 20, 2012) showcased IMI projects selected by the Energy Department to help American manufacturers...

  6. Earth Day 2014 Photo Contest

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

    Earth Day 2014 Photo Contest CALLING ALL PHOTOGRAPHERS Professionals, amateurs, and the camera sharp shooter We invite all DOE employees and DOE contractors to share images of...

  7. George Washington Carver Recognition Day

    Broader source: Energy.gov [DOE]

    In commemoration of George Washington Carver’s life and work, Congress declared January 5 as George Washington Carver Recognition Day.

  8. Fitting orbits to tidal streams

    E-Print Network [OSTI]

    James Binney

    2008-02-11T23:59:59.000Z

    Recent years have seen the discovery of many tidal streams through the Galaxy. Relatively straightforward observations of a stream allow one to deduce three phase-space coordinates of an orbit. An algorithm is presented that reconstructs the missing phase-space coordinates from these data. The reconstruction starts from assumed values of the Galactic potential and a distance to one point on the orbit, but with noise-free data the condition that energy be conserved on the orbit enables one to reject incorrect assumptions. The performance of the algorithm is investigated when errors are added to the input data that are comparable to those in published data for the streams of Pal 5. It is found that the algorithm returns distances and proper motions that are accurate to of order one percent, and enables one to reject quite reasonable but incorrect trial potentials. In practical applications it will be important to minimize errors in the input data, and there is considerable scope for doing this.

  9. UMIC DAY`11 Aachen, Germany

    E-Print Network [OSTI]

    Kobbelt, Leif

    UMIC DAY`11 Aachen, Germany UMIC Ultra High-Speed Mobile Information and Communication Cluster-level research October 18 , 2011th UMICResearchCentre Dr.UteMüller RWTHAachenUniversity 52056AACHEN GERMANY Ultra University. UMIC Day`11 October 18 , 2011 Super C, 6 floor Templergraben 57 Aachen, Germany th th company

  10. How Do You Observe Earth Day Every Day? | Department of Energy

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

    Observe Earth Day Every Day? How Do You Observe Earth Day Every Day? April 23, 2009 - 1:44pm Addthis Yesterday was officially Earth Day, but really, every day should be Earth Day....

  11. Earth Day 2014 | Department of Energy

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

    Day 2014 Earth Day 2014 Earth Day 2014 This year, we're celebrating Earth Day all week long. It's Earth Week on Energy.gov We're focusing on climate change, highlighting Earth Day...

  12. Total Synthesis of (?)-Himandrine

    E-Print Network [OSTI]

    Movassaghi, Mohammad

    We describe the first total synthesis of (?)-himandrine, a member of the class II galbulimima alkaloids. Noteworthy features of this chemistry include a diastereoselective Diels?Alder reaction in the rapid synthesis of the ...

  13. Atmospheric influences on Gulf Stream fluctuations off Onslow Bay, North Carolina

    E-Print Network [OSTI]

    Cohen, Robert Lester

    1981-01-01T23:59:59.000Z

    -November, 1979. In the winter only, the atmosphere and the Gulf Stream were marginally coupled in a 2-4 day period band. The longshore wind stress was coherent with nearer shore current fluctuations at a 2. 7-day period. The offshore wind stress com- ponent... at most frequencies. Furthermore, they found that, although the inshore deep currents showed high coherence peaks with the wind at low frequencies, the offshore deep currents showed little coherence with the wind at any frequency. High coherence...

  14. Shotgun metagenomic data streams: surfing without fear

    SciTech Connect (OSTI)

    Berendzen, Joel R [Los Alamos National Laboratory

    2010-12-06T23:59:59.000Z

    Timely information about bio-threat prevalence, consequence, propagation, attribution, and mitigation is needed to support decision-making, both routinely and in a crisis. One DNA sequencer can stream 25 Gbp of information per day, but sampling strategies and analysis techniques are needed to turn raw sequencing power into actionable knowledge. Shotgun metagenomics can enable biosurveillance at the level of a single city, hospital, or airplane. Metagenomics characterizes viruses and bacteria from complex environments such as soil, air filters, or sewage. Unlike targeted-primer-based sequencing, shotgun methods are not blind to sequences that are truly novel, and they can measure absolute prevalence. Shotgun metagenomic sampling can be non-invasive, efficient, and inexpensive while being informative. We have developed analysis techniques for shotgun metagenomic sequencing that rely upon phylogenetic signature patterns. They work by indexing local sequence patterns in a manner similar to web search engines. Our methods are laptop-fast and favorable scaling properties ensure they will be sustainable as sequencing methods grow. We show examples of application to soil metagenomic samples.

  15. STREAM

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

    Type 'make' This will build both the C and Fortran executables. Required Runs for TrinityNERSC-8 On a multi-core node with "n" hardware cores and M bytes of main memory...

  16. Total Energy Monitor

    SciTech Connect (OSTI)

    Friedrich, S

    2008-08-11T23:59:59.000Z

    The total energy monitor (TE) is a thermal sensor that determines the total energy of each FEL pulse based on the temperature rise induced in a silicon wafer upon absorption of the FEL. The TE provides a destructive measurement of the FEL pulse energy in real-time on a pulse-by-pulse basis. As a thermal detector, the TE is expected to suffer least from ultra-fast non-linear effects and to be easy to calibrate. It will therefore primarily be used to cross-calibrate other detectors such as the Gas Detector or the Direct Imager during LCLS commissioning. This document describes the design of the TE and summarizes the considerations and calculations that have led to it. This document summarizes the physics behind the operation of the Total Energy Monitor at LCLS and derives associated engineering specifications.

  17. Vice President Biden Kicks Off Five Days of Earth Day Activities...

    Office of Environmental Management (EM)

    Kicks Off Five Days of Earth Day Activities with Announcement of Major New Energy Efficiency Effort Vice President Biden Kicks Off Five Days of Earth Day Activities with...

  18. 2014 Earth Day | Argonne National Laboratory

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

    Earth Day 2014 Argonne Earth Day event 1 of 43 2014 Argonne Earth Day event As part of the lab's April 22, 2014 Earth Day celebration, children from Argonne's Child Development...

  19. SPIDERS Joint Capability Technology Demonstration Industry Day...

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

    SPIDERS Joint Capability Technology Demonstration Industry Day Presentations SPIDERS Joint Capability Technology Demonstration Industry Day Presentations Presentations from the...

  20. Adaptive Filtering of Multilingual Document Streams

    E-Print Network [OSTI]

    Oard, Doug

    the volume of new documents that must be examined by the user to manageable levels. This paper presents three techniques for extending adaptive monolingual text ltering techniques to manage multilingual document streamsAdaptive Filtering of Multilingual Document Streams Douglas W. Oard College of Library

  1. Conundrum of the Large Scale Streaming

    E-Print Network [OSTI]

    T. M. Malm

    1999-09-12T23:59:59.000Z

    The etiology of the large scale peculiar velocity (large scale streaming motion) of clusters would increasingly seem more tenuous, within the context of the gravitational instability hypothesis. Are there any alternative testable models possibly accounting for such large scale streaming of clusters?

  2. ONE DAY ON SHAPE OPTIMIZATION

    E-Print Network [OSTI]

    Ceragioli, Francesca

    ONE DAY ON SHAPE OPTIMIZATION Tuesday November 17, 2009 Aula Buzano - Dipartimento di Matematica to "Shape Optimization", a very active research field which combines techniques from several areas of mathematics to set out and solve problems where the optimal shape of an object has to be determined, in order

  3. Relating carrion breakdown rates to ambient resource level and community structure in four cave stream ecosystems

    E-Print Network [OSTI]

    Benstead, Jon

    into ecosystems vary in quantity and quality (e.g., plant litter vs carrion). Variability in detrital quantity and quality potentially affects consumer biomass and rates of organic matter (OM) breakdown. We used cave streams to test 2 linked hypotheses regarding the influence of total detrital inputs on consumer biomass

  4. Mixed and Low-Level Treatment Facility Project. Appendix B, Waste stream engineering files, Part 1, Mixed waste streams

    SciTech Connect (OSTI)

    Not Available

    1992-04-01T23:59:59.000Z

    This appendix contains the mixed and low-level waste engineering design files (EDFS) documenting each low-level and mixed waste stream investigated during preengineering studies for Mixed and Low-Level Waste Treatment Facility Project. The EDFs provide background information on mixed and low-level waste generated at the Idaho National Engineering Laboratory. They identify, characterize, and provide treatment strategies for the waste streams. Mixed waste is waste containing both radioactive and hazardous components as defined by the Atomic Energy Act and the Resource Conservation and Recovery Act, respectively. Low-level waste is waste that contains radioactivity and is not classified as high-level waste, transuranic waste, spent nuclear fuel, or 11e(2) byproduct material as defined by DOE 5820.2A. Test specimens of fissionable material irradiated for research and development only, and not for the production of power or plutonium, may be classified as low-level waste, provided the concentration of transuranic is less than 100 nCi/g. This appendix is a tool that clarifies presentation format for the EDFS. The EDFs contain waste stream characterization data and potential treatment strategies that will facilitate system tradeoff studies and conceptual design development. A total of 43 mixed waste and 55 low-level waste EDFs are provided.

  5. Effects of urbanization on stream channel morpology, Madisonville, Texas

    E-Print Network [OSTI]

    Harris, Daniel Lee

    2002-01-01T23:59:59.000Z

    This thesis investigates the effects of urban development on two small streams near Madisonville, Texas. One stream is natural and used as a control against which Town Branch, the urbanized stream, is compared. Changes in width, depth, and channel...

  6. TotalView Training

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesisAppliances » Top InnovativeTopoisomeraseTotalView

  7. Assessment of Energy Production Potential from Tidal Streams...

    Energy Savers [EERE]

    Tidal Streams in the United States Assessment of Energy Production Potential from Tidal Streams in the United States The project documented in this report created a national...

  8. Effect of the Composition of Hydrocarbon Streams on HCCI Performance

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

    for processes occurring during advanced combustion. SAE paper 2008-01-2406 * 17 refinery streams consisting of finished fuels and process streams were obtained from oil sands...

  9. Evaluation of Side Stream Filtration Technology at Oak Ridge...

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

    ssfevaluation.pdf More Documents & Publications Side Stream Filtration for Cooling Towers Technical Evaluation of Side Stream Filtration for Cooling Towers Cooling Towers:...

  10. Argonne's 2012 Earth Day Event

    SciTech Connect (OSTI)

    None

    2012-01-01T23:59:59.000Z

    Argonne's 2012 Earth Day event drew crowds from across the laboratory. Argonne and U.S. Department of Energy employees toured booths and interactive displays set up by Argonne programs and clubs. Several of Argonne's partners participated, including U.S. Department of Energy, University of Chicago, Abri Credit Union, DuPage County Forest Preserve, DuPage Water Commission, PACE and Morton Arboretum. Argonne scientists and engineers also participated in a poster session, discussing their clean energy research.

  11. Argonne's 2012 Earth Day Event

    ScienceCinema (OSTI)

    None

    2013-04-19T23:59:59.000Z

    Argonne's 2012 Earth Day event drew crowds from across the laboratory. Argonne and U.S. Department of Energy employees toured booths and interactive displays set up by Argonne programs and clubs. Several of Argonne's partners participated, including U.S. Department of Energy, University of Chicago, Abri Credit Union, DuPage County Forest Preserve, DuPage Water Commission, PACE and Morton Arboretum. Argonne scientists and engineers also participated in a poster session, discussing their clean energy research.

  12. Methods of separating particulate residue streams

    DOE Patents [OSTI]

    Hoskinson, Reed L. (Rigby, ID); Kenney, Kevin L. (Idaho Falls, ID); Wright, Christopher T. (Idaho Falls, ID); Hess, J. Richard (Idaho Falls, ID)

    2011-04-05T23:59:59.000Z

    A particulate residue separator and a method for separating a particulate residue stream may include an air plenum borne by a harvesting device, and have a first, intake end and a second, exhaust end; first and second particulate residue air streams that are formed by the harvesting device and that travel, at least in part, along the air plenum and in a direction of the second, exhaust end; and a baffle assembly that is located in partially occluding relation relative to the air plenum and that substantially separates the first and second particulate residue air streams.

  13. Pi Day of the Century

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPOPetroleum ReservesThrust Areas Physics161 ThisPi Day of

  14. Museum Day at Bradbury Science

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'.SolarUSAdvancedMuseum Day at Bradbury Science

  15. Celebrate Earth Day! | Department of Energy

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

    Earth Day Celebrate Earth Day April 20, 2010 - 10:25am Addthis Chris Stewart Senior Communicator at DOE's National Renewable Energy Laboratory Earth Day is a great time to commit...

  16. Single Stream Recycling Say Goodbye to Sorting

    E-Print Network [OSTI]

    Awtar, Shorya

    Single Stream Recycling Say Goodbye to Sorting Paper Please email recycle@umich.edu for more Containers Cardboard Please flatten all cardboard before placing into bin! Visit us at www.recycle

  17. Stream Flow Standards and Regulations (Connecticut)

    Broader source: Energy.gov [DOE]

    These regulations apply to all rivers and streams in Connecticut. Dam owners need to comply with these regulations unless the dam is principally used for hydroelectric power generation and is under...

  18. Language design for distributed stream processing

    E-Print Network [OSTI]

    Newton, Ryan Rhodes, 1980-

    2009-01-01T23:59:59.000Z

    Applications that combine live data streams with embedded, parallel, and distributed processing are becoming more commonplace. WaveScript is a domain-specific language that brings high-level, type-safe, garbage-collected ...

  19. One Video Stream to Serve Diverse Receivers

    E-Print Network [OSTI]

    Woo, Grace

    2008-10-18T23:59:59.000Z

    The fundamental problem of wireless video multicast is to scalably serve multiple receivers which may have very different channel characteristics. Ideally, one would like to broadcast a single stream that allows each ...

  20. Dorsal stream : from algorithm to neuroscience

    E-Print Network [OSTI]

    Jhuang, Hueihan

    2011-01-01T23:59:59.000Z

    The dorsal stream in the primate visual cortex is involved in the perception of motion and the recognition of actions. The two topics, motion processing in the brain, and action recognition in videos, have been developed ...

  1. Joint Capability Technology Demonstration (JCTD) Industry Day...

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

    Joint Capability Technology Demonstration (JCTD) Industry Day Agenda Joint Capability Technology Demonstration (JCTD) Industry Day Agenda Agenda outlines the activities of the 2014...

  2. Longitudinal and seasonal variation of stream N uptake in an urbanizing watershed: effect of organic matter, stream size, transient storage and debris dams

    E-Print Network [OSTI]

    Claessens, Luc; Tague, Christina L.; Groffman, Peter M.; Melack, John M.

    2010-01-01T23:59:59.000Z

    when tar- geting stream restoration efforts and land-use2001), while urban stream restoration can signi?- cantlyAJ (2008) Effects of stream restoration on denitri- ?cation

  3. Solar Total Energy Project final test report

    SciTech Connect (OSTI)

    Nelson, R.F.; Abney, L.O.; Towner, M.L. (Georgia Power Co., Shenandoah, GA (USA))

    1990-09-01T23:59:59.000Z

    The Solar Total Energy Project (STEP), a cooperative effort between the United States Department of Energy (DOE) and Georgia Power Company (GPC) located at Shenandoah, Georgia, has undergone several design modifications based on experience from previous operations and test programs. The experiences encountered were discussed in detail in the Solar Total Energy Project Summary Report'' completed in 1987 for DOE. Most of the proposed changes discussed in this report were installed and tested in 1987 as part of two 15-day test programs (SNL Contract No. 06-3049). However, several of the suggested changes were not completed before 1988. These plant modifications include a new distributed control system for the balance of plant (BOP), a fiber a optical communications ring for the field control system, and new control configuration reflecting the new operational procedures caused by the plant modifications. These modifications were tested during a non-consecutive day test, and a 60-day field test conducted during the autumn of 1989. These test were partially funded by SNL under Contract No. 42-4859, dated June 22, 1989. Results of these tests and preliminary analysis are presented in this test summary report. 9 refs., 19 figs., 7 tabs.

  4. Do in-stream restoration structures enhance salmonid

    E-Print Network [OSTI]

    Hinch, Scott G.

    Do in-stream restoration structures enhance salmonid abundance? A meta-analysis. Whiteway et al. (2010) Presentation by: Shannon Clarke Rob Johnstone #12;Does Stream Restoration Work? Yes. Now we can go home. #12;Outline · What is a stream? · Why is stream restoration important? · Looking at Whiteway

  5. R-Stream: Enabling efficient development of portable, high-

    E-Print Network [OSTI]

    Kepner, Jeremy

    , kenmac, schweitz, szilagyi, lethin @ reservoir.com} #12;Streaming Compilation Code generation Mapping

  6. Touch Animal Day 2015.psd

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesisAppliances » Top InnovativeTopoisomeraseTotalView

  7. OY Car During Normal Outburst: Balmer Emission From The Red Star And The Gas Stream

    E-Print Network [OSTI]

    E. T. Harlaftis; T. R. Marsh

    1995-03-07T23:59:59.000Z

    We present observations of OY Car, obtained with the Anglo-Australian Telescope, during a normal outburst in August 1991. Two sinusoidal components are resolved in the H$\\beta$ trailed spectra and we determine the location of the narrow component to be on the secondary star with a maximum contributed flux of ~2.5 per cent to the total flux. Imaging of the line distribution reveals that the other emission component is associated with the gas stream. This follows a velocity close to the ballistic one from the red star to a distance of ~0.5 R$_{L_{1}}$ from the white dwarf. This emission penetrates the accretion disc (from 0.5--0.1 R$_{L_{1}}$), with a velocity now closer (but lower) to the keplerian velocities along the path of the gas stream. We finally discuss the implications of having observed simultaneously line emission from the gas stream and the red star during outburst.

  8. OY Car in Outburst: Balmer emission from the red star and the gas stream

    E-Print Network [OSTI]

    E. T. Harlaftis; T. R. Marsh

    1995-10-04T23:59:59.000Z

    We present observations of OY Car, obtained with the Anglo-Australian telescope, during a normal outburst in 1991. Two sinusoidal components are resolved in the Hbeta trailed spectra and we determine the location of the narrow component to be on the secondary star with a maximum contributed flux of ~2.5 per cent to the total flux. Imaging of the line distribution reveals that the other emission component is associated with the gas stream. This follows a velocity close to the ballistic one from the red star to a distance of ~0.5 R_L1 from the white dwarf. Then. its kinematics changes from 0.5-0.2 R_L1 (accretion disc) following velocities now closer to (but lower than) the keplerian velocities along the path of the gas stream. We finally dicsuss the implications of having observed simultaneously line emission from the gas stream and the red star during outburst.

  9. The effects of a stannous chloride-based remediation system in a mercury contaminated stream

    SciTech Connect (OSTI)

    Mathews, Teresa J [ORNL; Looney, Brian [Savannah River National Laboratory (SRNL); BryanJr., Larry [Savannah River Ecology Laboratory; Smith, John G [ORNL; Miller, Carrie L [ORNL; Peterson, Mark J [ORNL

    2015-01-01T23:59:59.000Z

    Remediation of mercury (Hg)-contaminated watersheds is often challenging because of the complex nature of Hg biogeochemistry. Stream ecosystems have been shown to be particularly susceptible to Hg contamination and bioaccumulation in fish. Decreasing total Hg loading to stream systems, however, has shown variable performance in decreasing Hg concentrations in fish tissues. In this study, we assess the impacts of an innovative treatment system in reducing releases of Hg to a small stream system in the southeastern United States. The treatment system, installed in 2007, removes Hg from water using tin (Sn) (II) chloride followed by air stripping. Mercury concentrations in the receiving stream, Tims Branch, decreased from > 100 to ~10 ng/L in the four years following treatment, and Hg body burdens in redfin pickerel (Esox americanus) decreased by 70 % at the most contaminated site. Tin concentrations in water and fish increased significantly in the tributary leading to Tims Branch, but concentrations remain below levels of concern for human health or ecological risks. While other studies have shown that Sn may be environmentally methylated and methyltin can transfer its methyl group to Hg, results from our field studies and sediment incubation experiments suggest that the added Sn to the Tims Branch watershed is not contributing to MeHg production and bioaccumulation. The stannous chloride treatment system installed at Tims Branch was effective at removing Hg inputs and reducing Hg bioaccumulation in the stream with minimal impacts on the environment due to the increased Sn in the system.

  10. MUJERES TOTAL BIOLOGIA 16 27

    E-Print Network [OSTI]

    Autonoma de Madrid, Universidad

    , PLASTICA Y VISUAL 2 2 EDUCACION FISICA, DEPORTE Y MOTRICIDAD HUMANA 1 1 6 11 TOTAL CIENCIAS Nº DE TESIS

  11. MUJERES ( * ) TOTAL BIOLOGA 16 22

    E-Print Network [OSTI]

    Autonoma de Madrid, Universidad

    , DEPORTE Y MOTRICIDAD HUMANA 0 4 TOTAL FORMACIÓN DE PROFESORADO Y EDUCACIÓN 0 6 ANATOMÍA PATOLÓGICA 2 5

  12. The Total RNA Story Introduction

    E-Print Network [OSTI]

    Goldman, Steven A.

    The Total RNA Story Introduction Assessing RNA sample quality as a routine part of the gene about RNA sample quality. Data from a high quality total RNA preparation Although a wide variety RNA data interpretation and identify features from total RNA electropherograms that reveal information

  13. A long-term post-project evaluation of an urban stream restoration project (Baxter Creek, El Cerrito, California)

    E-Print Network [OSTI]

    Purcell, Alison

    2004-01-01T23:59:59.000Z

    1995. Evaluating stream restoration projects. Environmentalof a small, urban stream restoration project in northernhistory of urban stream restoration. Aquatic Conservation:

  14. Java Parallel Secure Stream for Grid Computing

    SciTech Connect (OSTI)

    Chen, Jie; Akers, Walter; Chen, Ying; Watson, William

    2001-09-01T23:59:59.000Z

    The emergence of high speed wide area networks makes grid computing a reality. However grid applications that need reliable data transfer still have difficulties to achieve optimal TCP performance due to network tuning of TCP window size to improve the bandwidth and to reduce latency on a high speed wide area network. This paper presents a pure Java package called JPARSS (Java Par-allel Secure Stream) that divides data into partitions that are sent over several parallel Java streams simultaneously and allows Java or Web applications to achieve optimal TCP performance in a gird environment without the necessity of tuning the TCP window size. Several experimental results are provided to show that using parallel stream is more effective than tuning TCP window size. In addi-tion X.509 certificate based single sign-on mechanism and SSL based connection establishment are integrated into this package. Finally a few applications using this package will be discussed.

  15. On the genealogy of the Orphan Stream

    E-Print Network [OSTI]

    L. V. Sales; A. Helmi; E. Starkenburg; H. L. Morrison; E. Engle; P. Harding; M. Mateo; E. W. Olszewski; T. Sivarani

    2008-07-30T23:59:59.000Z

    We use N-body simulations to explore the origin and a plausible orbit for the Orphan Stream, one of the faintest substructures discovered so far in the outer halo of our Galaxy. We are able to reproduce its position, velocity and distance measurements by appealing to a single wrap of a double-component satellite galaxy. We find that the progenitor of the Orphan Stream could have been an object similar to today's Milky Way dwarfs, such as Carina, Draco, Leo II or Sculptor; and unlikely to be connected to Complex A or Ursa Major II. Our models suggest that such progenitors, if accreted on orbits with apocenters smaller than ~35 kpc, are likely to give rise to very low surface brightness streams, which may be hiding in the outer halo and remain largely undetected with current techniques. The systematic discovery of these ghostly substructures may well require wide field spectroscopic surveys of the Milky Way's outer stellar halo.

  16. On the genealogy of the Orphan Stream

    E-Print Network [OSTI]

    Sales, L V; Starkenburg, E; Morrison, H L; Engle, E; Harding, P; Mateo, M; Olszewski, E W; Sivarani, T

    2008-01-01T23:59:59.000Z

    We use N-body simulations to explore the origin and a plausible orbit for the Orphan Stream, one of the faintest substructures discovered so far in the outer halo of our Galaxy. We are able to reproduce its position, velocity and distance measurements by appealing to a single wrap of a double-component satellite galaxy. We find that the progenitor of the Orphan Stream could have been an object similar to today's Milky Way dwarfs, such as Carina, Draco, Leo II or Sculptor; and unlikely to be connected to Complex A or Ursa Major II. Our models suggest that such progenitors, if accreted on orbits with apocenters smaller than ~35 kpc, are likely to give rise to very low surface brightness streams, which may be hiding in the outer halo and remain largely undetected with current techniques. The systematic discovery of these ghostly substructures may well require wide field spectroscopic surveys of the Milky Way's outer stellar halo.

  17. Conversion method for gas streams containing hydrocarbons

    DOE Patents [OSTI]

    Mallinson, Richard G. (Norman, OK); Lobban, Lance (Norman, OK); Liu, Chang-jun (Tianjin, CN)

    2000-01-01T23:59:59.000Z

    An apparatus and a method of using the apparatus are provided for converting a gas stream containing hydrocarbons to a reaction product containing effluent molecules having at least one carbon atom, having at least one interior surface and at least one exterior surface, a first electrode and a second electrode with the first and second electrodes being selectively movable in relation to each other and positioned within the housing so as to be spatially disposed a predetermined distance from each other, a plasma discharge generator between the first and second electrodes, gas stream introducer and a collector for collecting the reaction product effluent produced by the reaction of the gas stream containing hydrocarbons with the plasma discharge between the first and second electrodes.

  18. Programmable stream prefetch with resource optimization

    DOE Patents [OSTI]

    Boyle, Peter; Christ, Norman; Gara, Alan; Mawhinney, Robert; Ohmacht, Martin; Sugavanam, Krishnan

    2013-01-08T23:59:59.000Z

    A stream prefetch engine performs data retrieval in a parallel computing system. The engine receives a load request from at least one processor. The engine evaluates whether a first memory address requested in the load request is present and valid in a table. The engine checks whether there exists valid data corresponding to the first memory address in an array if the first memory address is present and valid in the table. The engine increments a prefetching depth of a first stream that the first memory address belongs to and fetching a cache line associated with the first memory address from the at least one cache memory device if there is not yet valid data corresponding to the first memory address in the array. The engine determines whether prefetching of additional data is needed for the first stream within its prefetching depth. The engine prefetches the additional data if the prefetching is needed.

  19. Solar wind suprathermal electron Stahl widths across high-speed stream structures

    SciTech Connect (OSTI)

    Skoug, Ruth M [Los Alamos National Laboratory; Steinberg, John T [Los Alamos National Laboratory; Goodrich, Katherine A [Los Alamos National Laboratory; Anderson, Brett R [DARTMUTH UNIV.

    2011-01-03T23:59:59.000Z

    Suprathermal electrons (100-1500 eV) observed in the solar wind typically show a strahl distribution, that is, a beam directed away from the Sun along the magnetic field direction. The strahl width observed at 1 AU is highly variable, ranging from 10-70 degrees. The obsenred finite width of the strahl results from the competition between beam focusing as the interplanetary magnetic field strength drops with distance from the Sun, and pitch-angle scattering as the beam interacts with the solar wind plasma in transit from the sun. Here we examine strahl width, observed with ACE SWEPAM across high-speed stream structures to investigate variations in electron scattering as a function of local plasma characteristics. We find that narrow strahls (less than 20 degrees wide), indicating reduced scattering, are observed within high-speed streams. Narrow strahls are also observed in both very low temperature solar wind, in association with ICMEs. Case studies of high-speed streams typically show the strahl narrowing at the leading edge of the stream. In some cases, the strahl narrows at the reverse shock or pressure wave, in other cases at the stream interface. The narrowing can either occur discontinuously or gradually over a period of hours. Within the high-speed wind, the strahl remains narrow for a period of hours to days, and then gradually broadens. The strahl width is roughly constant at all energies across these structures. For some fraction of high-speed streams, counterstreaming is associated with passage of the corotating interaction region. In these cases, we find the widths of the two counterstreaming beams frequently differ by more than 40 degrees. This dramatic difference in strahl width contrasts with observations in the solar wind as a whole, in which counterstreaming strahls typically differ in width by less than 20 degrees.

  20. Evaluating separator performance for hydrocarbon streams

    SciTech Connect (OSTI)

    Barker, W.F.

    1982-12-27T23:59:59.000Z

    The goal for ideal separator selection and design is to separate the hydrocarbon stream into liquid-free gas and gasfree liquid. Separators are mechanical devices for removing and collecting liquids from natural gas. Verticle, horizontal, and spherical separators and their respective capabilities are described. Coalescing gas separators are designed specifically for the removal of mists, oil fogs, rust, and dust from the gas stream. A table lists estimated fabrication and installation cost, performance rating, and time requirements for each filter-coalescer liquid separator based on gas pressure (psig) and gas volumes (MMcfd).

  1. Two-stream Instability in Pulsar Magnetospheres

    E-Print Network [OSTI]

    V. V. Usov

    2002-04-24T23:59:59.000Z

    Creation of electron-positron pairs near the pulsar surface and the parameters of plasma in pulsar magnetospheres are discussed. It is argued that the pair creation process is nonstationary, and the pair plasma that flows out from the pulsar environment is strongly nonhomogeneous and gathers into separate clouds. Plasma instabilities in the outflowing plasma are reviewed. The two-stream instability that develops due to strong nonhomogeneity of the outflowing plasma is the most plausible reason for the generation of coherent radio emission of pulsars. The development of the two-stream instability in pulsar magnetospheres is considered.

  2. Calculator program trilogy characterizes comingled gas streams

    SciTech Connect (OSTI)

    Flowers, R.

    1985-08-26T23:59:59.000Z

    A series of programs has been developed for the HP-41CV that allows a quicker and more accurate approach to commingled stream calculations. This avoids the margin of error that the representative method introduces. The alpha-numeric capability of the HP-41CV will prompt for the inputs of an 11-component stream. The program series comprises: gas analysis; gas gathering/gas analysis; and flash vaporization. Each of these programs has its stand-alone use; but their true worth is in their integrated capability.

  3. Methods of hydrotreating a liquid stream to remove clogging compounds

    DOE Patents [OSTI]

    Minderhoud, Johannes Kornelis [Amsterdam, NL; Nelson, Richard Gene [Katy, TX; Roes, Augustinus Wilhelmus Maria [Houston, TX; Ryan, Robert Charles [Houston, TX; Nair, Vijay [Katy, TX

    2009-09-22T23:59:59.000Z

    A method includes producing formation fluid from a subsurface in situ heat treatment process. The formation fluid is separated to produce a liquid stream and a gas stream. At least a portion of the liquid stream is provided to a hydrotreating unit. At least a portion of selected in situ heat treatment clogging compositions in the liquid stream are removed to produce a hydrotreated liquid stream by hydrotreating at least a portion of the liquid stream at conditions sufficient to remove the selected in situ heat treatment clogging compositions.

  4. SHUTTLE MENU STS-135 Stow By Day

    E-Print Network [OSTI]

    *Day 1 consists of Meal C only **Day 13 consists of Meals A & B only (B) - Beverage, (FF)- Fresh Food, (I) - Irradiated, (IM) - Intermediate Moisture, (NF) - Natural Form, (R) - Rehydratable, (T

  5. Lessons and Experiences from a Stream Restoration Project in the Piedmont of North Carolina

    E-Print Network [OSTI]

    Barrett, Thomas; Hajnos, Edward

    2007-01-01T23:59:59.000Z

    report documenting stream restoration and enhancement isInc. is participating in a stream restoration study with theof North Carolina. Stream restoration in North Carolina is

  6. Stream restoration case studies in North Carolina utilizing natural channel design techniques

    E-Print Network [OSTI]

    Harman, William A.; Jennings, Gregory D.

    2001-01-01T23:59:59.000Z

    CA. Federal Interagency Stream Restoration Working Group (STREAM RESTORATION CASE STUDIES IN NORTH CAROLINA UTILIZINGand streambanks. Stream restoration options for incised

  7. Evaluation of Riparian Restoration to Enhance Anadromous Fish Habitat along a Napa County Stream

    E-Print Network [OSTI]

    Gaber, Christine O.

    2008-01-01T23:59:59.000Z

    California Salmonid Stream Restoration Manual. Part XI:2003. Federal Interagency Stream Restoration Working Group (Napa County rangeland stream restoration project designed to

  8. Baxter Creek Gateway Park: assessment of an urban stream restoration project

    E-Print Network [OSTI]

    Goodman, Judd; Lunde, Kevin B; Zaro, Theresa

    2006-01-01T23:59:59.000Z

    of a Small Urban Stream Restoration Project in Northernfor: LA 227- Restoration of Rivers and Streams Instructor:restoration project was constructed with aspects of stream

  9. Restoration Potential of a Mining-Impacted Urban Stream: Horseshoe Branch of Lion Creek, Oakland, CA

    E-Print Network [OSTI]

    Hackenjos, Bethany; Woelfle-Erskine, Cleo; Wood, Jacob

    2010-01-01T23:59:59.000Z

    the bay. The urban stream restoration movement that arose inecological value. Few stream restoration projects in the Bayon- campus lake and stream restoration activities. An active

  10. Business Day Authoritative, informative and timely,

    E-Print Network [OSTI]

    Peters, Richard

    Overview #12;Business Day Overview Authoritative, informative and timely, Business Day is a must read for business decision-makers. Business Day has Australia's most influential business writers and commentators who provide up-to-the- minute business news, including context, background and specialist analysis

  11. ScheduleDay 1: Molecular Evolution Introduction

    E-Print Network [OSTI]

    Goldschmidt, Christina

    -Cantor Model Do Exercise Read Ponting, study slides from day 3 and find questions. Day 3: Comparative Genomics Lecture: Comparative Genomics Prepare Projects Practical: Models of Sequence Evolution Read HSW1, study questions. Day 10: Projects Project 1 ­ Population Genomics: Selective Sweeps Project 2 ­ Molecular

  12. Total..........................................................

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

    Q 0.4 3 or More Units... 5.4 0.3 Q Q Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  13. Total..........................................................

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

    ... 1.9 1.1 Q Q 0.3 Q Do Not Use Central Air-Conditioning... 45.2 24.6 3.6 5.0 8.8 3.2 Use a Programmable...

  14. Total..........................................................

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

    Q 0.6 3 or More Units... 5.4 3.8 2.9 0.4 Q N 0.2 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  15. Total..........................................................

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

    1.3 Q 3 or More Units... 5.4 1.6 0.8 Q 0.3 0.3 Q Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  16. Total..........................................................

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

    3 or More Units... 5.4 2.4 1.4 0.7 0.9 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  17. Total..........................................................

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

    3 or More Units... 5.4 2.3 1.7 0.6 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  18. Total..........................................................

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

    8.6 Have Equipment But Do Not Use it... 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System......

  19. Total..........................................................

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

    3 or More Units... 5.4 2.1 0.9 0.2 1.0 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  20. Total..........................................................

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

    30.3 Have Equipment But Do Not Use it... 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System......

  1. Total..........................................................

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

    0.3 3 or More Units... 5.4 0.7 0.5 Q Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  2. Total..........................................................

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

    3 or More Units... 5.4 2.3 0.7 2.1 0.3 Central Air-Conditioning Usage Air-Conditioned Floorspace (Square Feet)...

  3. Total..........................................................

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

    111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......

  4. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......

  5. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    Personal Computers Do Not Use a Personal Computer... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer... 75.6...

  6. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer... 35.5 8.1 5.6 2.5 Use a Personal Computer......

  7. Total..........................................................

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

    4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer... 35.5 6.4 2.2 4.2 Use a Personal Computer......

  8. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer......

  9. Total..........................................................

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

    25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......

  10. Total..........................................................

    Gasoline and Diesel Fuel Update (EIA)

    AppliancesTools.... 56.2 11.6 3.3 8.2 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 0.2 Q 0.1 Hot Tub or Spa......

  11. Total..........................................................

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

    Tools... 56.2 20.5 10.8 3.6 6.1 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 N N N N Hot Tub or Spa......

  12. Total..........................................................

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

    Tools... 56.2 27.2 10.6 9.3 9.2 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 Q Q Q 0.4 Hot Tub or Spa......

  13. Total..........................................................

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

    AppliancesTools.... 56.2 12.2 9.4 2.8 Other Appliances Used Auto BlockEngineBattery Heater... 0.8 Q Q Q Hot Tub or Spa......

  14. Total..........................................................

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

    1.3 3.8 Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005 Below Poverty Line Eligible for Federal Assistance 1 40,000 to 59,999 60,000 to 79,999 80,000...

  15. Total..............................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6 2,720

  16. Total................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6 2,720..

  17. Total........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6 2,720..

  18. Total..........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6

  19. Total...........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6Q Table

  20. Total...........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6Q TableQ

  1. Total...........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6Q

  2. Total...........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1 86.6Q26.7

  3. Total............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1

  4. Total............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.1

  5. Total.............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.7 28.8 20.6

  6. Total..............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.7 28.8

  7. Total..............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.7 28.8,171

  8. Total...............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.7

  9. Total...............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.70.7 21.7

  10. Total...............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.70.7

  11. Total...............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.70.747.1

  12. Total...............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.70.747.1Do

  13. Total................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline. 111.126.70.747.1Do

  14. Total.................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.

  15. Total.................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4 12.5 12.5

  16. Total.................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4 12.5

  17. Total..................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4 12.578.1

  18. Total..................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4

  19. Total..................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4. 111.1 14.7

  20. Total...................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4. 111.1

  1. Total...................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4. 111.115.2

  2. Total...................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7 7.4.

  3. Total...................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.7

  4. Total...................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,033 1,618

  5. Total....................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,033 1,61814.7

  6. Total.......................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,033

  7. Total.......................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.6 17.7

  8. Total.......................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.6 17.74.2

  9. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.6

  10. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.615.1 5.5

  11. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.615.1

  12. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II: AnPipeline.14.72,0335.615.10.7

  13. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:

  14. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not Have

  15. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not Have7.1

  16. Total.........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not

  17. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not25.6 40.7

  18. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not25.6

  19. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do Not25.65.6

  20. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do

  1. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.2 7.6 16.6

  2. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.2 7.6

  3. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.2 7.67.1

  4. Total...........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.2 7.67.10.6

  5. Total...........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.2

  6. Total...........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.24.2 7.6

  7. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.24.2

  8. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1 Do4.24.2Cooking

  9. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1

  10. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do Not Have

  11. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do Not HaveDo

  12. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do Not HaveDoDo

  13. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do Not

  14. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo Not

  15. Total..............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo Not

  16. Total..............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo Not20.6

  17. Total..............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo

  18. Total..............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo7.1 19.0

  19. Total.................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo7.1

  20. Total.................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do NotDo7.1...

  1. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1Do

  2. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1DoCooking

  3. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1DoCooking25.6

  4. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0 12.1DoCooking25.65.6

  5. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.0

  6. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.04.2 7.6 16.6 Personal

  7. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.04.2 7.6 16.6 Personal

  8. Total.........................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in2, 2003Tool ofTopo II:7.1 7.0 8.04.2 7.6 16.6

  9. Total

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear Jan Feb Mar Apr May(MillionFeet)July 23,

  10. Total

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear Jan Feb Mar Apr May(MillionFeet)July 23,Product:

  11. Total..............................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720 1,970

  12. Total................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720

  13. Total........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720 111.1

  14. Total..........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720

  15. Total...........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720Q Table

  16. Total...........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720Q

  17. Total...........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6 2,720Q14.7

  18. Total...........................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1 86.6

  19. Total............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1

  20. Total............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.1

  1. Total.............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.8 20.6

  2. Total..............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.8 20.6,171

  3. Total..............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.8

  4. Total...............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.820.6 25.6

  5. Total...............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.820.6

  6. Total...............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7 28.820.626.7

  7. Total...............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.7

  8. Total...............................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.1 19.0 22.7

  9. Total................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.1 19.0 22.7

  10. Total.................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.1 19.0

  11. Total.................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.1 19.014.7

  12. Total.................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.1

  13. Total..................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.178.1 64.1

  14. Total..................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.178.1

  15. Total..................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770 111.126.747.178.1.

  16. Total...................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,770

  17. Total...................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.2 3.3 1.9

  18. Total...................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.2 3.3

  19. Total...................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.2 3.3Type

  20. Total...................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.2

  1. Total....................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.214.7 7.4

  2. Total.......................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.214.7

  3. Total.......................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0 1.214.75.6

  4. Total.......................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.0

  5. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.025.6 40.7

  6. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.025.6

  7. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.025.65.6 17.7

  8. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.025.65.6

  9. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8 1.025.65.64.2

  10. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.8

  11. Total........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1 19.0 22.7

  12. Total.........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1 19.0

  13. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1 19.025.6

  14. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1 19.025.6.

  15. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1 19.025.6.5.6

  16. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.1

  17. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.2 7.6 16.6

  18. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.2 7.6

  19. Total..........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.2 7.67.1

  20. Total...........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.2 7.67.10.6

  1. Total...........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.2

  2. Total...........................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.24.2 7.6

  3. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.24.2 7.6Do

  4. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.24.2

  5. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2 7.87.14.24.2Cooking

  6. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2

  7. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not Have Cooling

  8. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not Have

  9. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo Not

  10. Total.............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo NotDo

  11. Total..............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo

  12. Total..............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo0.7

  13. Total..............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo0.7

  14. Total..............................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not HaveDo0.77.1

  15. Total.................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not

  16. Total.................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1 7.0 8.0

  17. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1 7.0

  18. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1 7.05.6

  19. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1

  20. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1Personal

  1. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do Not7.1Personal4.2

  2. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do

  3. Total....................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do 111.1 47.1 19.0

  4. Total.........................................................................................

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516,2,730,77015.2Do 111.1 47.1

  5. Holistic UDAFs at Streaming Speeds Graham Cormode

    E-Print Network [OSTI]

    in the database community. First, powerful algorithms have been developed for processing data in a stream- Supported by NSF ITR 0220280 and NSF EIA 02-05116.¡ Supported by NSF EIA 0087022, NSF ITR 0220280 and NSF EIA 02-05116. 1 The term "holistic" was used in [21] to describe functions such as Median() and Mode

  6. Anticipating Stream Ecosystem Responses to Climate Change

    E-Print Network [OSTI]

    Crosby, Benjamin T.

    Anticipating Stream Ecosystem Responses to Climate Change: Toward Predictions that Incorporate, Pocatello, Idaho 83209, USA; 2 Cary Institute of Ecosystem Studies, Millbrook, New York 12545, USA; 3, and debris flows) and shift distributions of terrestrial ecosystems on a global basis. Although

  7. Live Streaming with Gossip Maxime Monod

    E-Print Network [OSTI]

    Guerraoui, Rachid

    ;2 TV ordinaire: tout en HD Live streaming Une source produit du contenu multimédia (un flux) n clients (n large) broadcasting diffusion ... ... ... IP TV, Web TV, P2P TV, ... vs 192K requêtes/jour 78K que le premier #12;·Gossip++Environment contraint ·HEAPEnvironnement hétérogène ·LiFT

  8. Semantic Web Research anno 2006: main streams,

    E-Print Network [OSTI]

    van Harmelen, Frank

    Semantic Web Research anno 2006: main streams, popular fallacies, current status and future. In this topical1 paper we try to give an analysis and overview of the current state of Semantic Web research. We point to different in- terpretations of the Semantic Web as the reason underlying many contro- versies

  9. Streaming Pointwise Mutual Information Benjamin Van Durme

    E-Print Network [OSTI]

    Lall, Ashwin

    of associativity scores, other- wise known as pointwise mutual information (PMI), in a streaming context. We give theoretical bounds showing the impracticality of perfect online PMI compu- tation, and detail an algorithm that approximate k-best PMI rank lists may be maintained online, with high accuracy, both in theory and in practice

  10. Jitter Regulation for Multiple Streams (Extended Abstract)

    E-Print Network [OSTI]

    Hay, David

    Jitter Regulation for Multiple Streams (Extended Abstract) David Hay and Gabriel Scalosub Computer as possible; the smoothness of a traffic is typically captured by its delay jitter, i.e., the difference between the maximal and minimal end-to-end delays. The task of minimizing the jitter is done by jitter

  11. Disc valve for sampling erosive process streams

    DOE Patents [OSTI]

    Mrochek, J.E.; Dinsmore, S.R.; Chandler, E.W.

    1984-08-16T23:59:59.000Z

    This is a patent for a disc-type, four-port sampling valve for service with erosive high temperature process streams. Inserts and liners of ..cap alpha..-silicon carbide respectively, in the faceplates and in the sampling cavities, limit erosion while providing lubricity for a smooth and precise operation. 1 fig.

  12. Automatic Video Shot Detection from MPEG Stream

    E-Print Network [OSTI]

    Fan, Jianping

    Automatic Video Shot Detection from MPEG Stream Jianping Fan Department of Computer Science;Why we need video shots? a. Text Retrieval: Keyword Extraction Indexing Document Storage Reverse File Indexing #12;Why we need video shots? b. Database Query: Entity Extraction sid name login age gpa 53666

  13. Internet video streaming using 3-D SPIHT

    E-Print Network [OSTI]

    Jiang, Jianhong

    2001-01-01T23:59:59.000Z

    Internet video streaming is a new way of distributing video over the Internet. It is an important component of Internet multimedia. Due to the increasing demand of multimedia on the World Wide Web, it has experienced explosive growth in the last...

  14. Flexible Layered Authentication Graph for Multimedia Streaming

    E-Print Network [OSTI]

    Sun, Qibin

    With the increasing demand on multimedia streaming in more and more applications, security issues such as integrity side, lost packets are dropped from the graph and a packet is verifiable if it has a path and all subsequent packets become not verifiable. EMSS [4] makes a great improvement by building multiple

  15. Cosmic Streaming Field at Low Redshift

    E-Print Network [OSTI]

    Lifan Wang

    2007-05-04T23:59:59.000Z

    We study the expansion of the nearby Universe using a sample of Type Ia supernovae at redshifts below 0.08. These supernovae allow peculiar velocities to be measured at unprecedented precision. We have investigated in detail the possibility of a varying Hubble constant with redshift and found no evidence of a monopole term for the nearby Universe. A large scale streaming motion is found at an amplitude of about $340^{63}_{-71}$ km/sec, aligned in the direction of $(l_0, b_0) = (312^{\\rm o}.0^{13.5}_{-7.4}, 25^{\\rm o}.7^{8.0}_{-9.2})$, which is close to the direction of the center of Shapley supercluster of galaxies. The large scale streaming motion is best fit by a function involving a strong bipolar term. The streaming velocity field extends from the lowest redshift ($\\sim 0.007$) to beyond 0.025 and likely out to even higher redshifts. The velocity field at redshift below 0.01 can be equally well described by a dipole field or by the same bipolar streaming velocity field that reaches out to beyond $z \\sim 0.025$. We are also able to deduce a robust estimate of the random velocity component of the peculiar velocity field. Within the volume of redshift below 0.01 (weighted average redshift of $\\sim$ 0.067), this thermal component is found to be about 270 km/sec. After correcting this smooth streaming motion, we are able to significantly improve the Hubble expansion fits of these supernovae. The CMAGIC method gives a dramatic decrease of $\\chi^2$ from 90 to 63 for 69 degrees of freedom, and yields a residual scatter of only 0.12 magnitude; the maximum light method gives also a moderate improvement.

  16. Stream-reach Identification for New Run-of-River Hydropower Development through a Merit Matrix Based Geospatial Algorithm

    SciTech Connect (OSTI)

    Pasha, M. Fayzul K. [California State University, Fresno; Yeasmin, Dilruba [ORNL; Kao, Shih-Chieh [ORNL; Hadjerioua, Boualem [ORNL; Wei, Yaxing [ORNL; Smith, Brennan T [ORNL

    2014-01-01T23:59:59.000Z

    Even after a century of development, the total hydropower potential from undeveloped rivers is still considered to be abundant in the United States. However, unlike evaluating hydropower potential at existing hydropower plants or non-powered dams, locating a feasible new hydropower plant involves many unknowns, and hence the total undeveloped potential is harder to quantify. In light of the rapid development of multiple national geospatial datasets for topography, hydrology, and environmental characteristics, a merit matrix based geospatial algorithm is proposed to help identify possible hydropower stream-reaches for future development. These hydropower stream-reaches sections of natural streams with suitable head, flow, and slope for possible future development are identified and compared using three different scenarios. A case study was conducted in the Alabama-Coosa-Tallapoosa (ACT) and Apalachicola-Chattahoochee-Flint (ACF) hydrologic subregions. It was found that a merit matrix based algorithm, which is based on the product of hydraulic head, annual mean flow, and average channel slope, can help effectively identify stream-reaches with high power density and small surface inundation. The identified stream-reaches can then be efficiently evaluated for their potential environmental impact, land development cost, and other competing water usage in detailed feasibility studies . Given that the selected datasets are available nationally (at least within the conterminous US), the proposed methodology will have wide applicability across the country.

  17. On the Intrinsic Locality Properties of Web Reference Streams

    E-Print Network [OSTI]

    Keinan, Alon

    On the Intrinsic Locality Properties of Web Reference Streams Rodrigo Fonseca Virg´ilio Almeida in the study of Web reference streams: sequences of requests for Web objects. In particular, many studies have into the nature of reference stream transformations in the Web. I. INTRODUCTION Considerable effort has gone

  18. Monitoring Message Streams: Algorithmic Methods for Automatic Processing of

    E-Print Network [OSTI]

    Monitoring Message Streams: Algorithmic Methods for Automatic Processing of Messages April 27, 2003 of monitoring message streams is decomposed into problems in com­ pression, representation, matching, learning. The project seeks to advance the state of the art for filtering streams of text messages, and identifying

  19. Estimating ventilation time scales using overturning stream functions

    E-Print Network [OSTI]

    Döös, Kristofer

    Estimating ventilation time scales using overturning stream functions Bijoy Thompson & Jonas for estimating ventilation time scales from overturning stream functions is proposed. The stream function may describing an ide- alized semi-enclosed ocean basin ventilated through a narrow strait over a sill

  20. An Adaptive Mechanism For Pre-recorded Multimedia Streaming

    E-Print Network [OSTI]

    An Adaptive Mechanism For Pre-recorded Multimedia Streaming Based On Traffic Conditions Gabriel, Dublin-4, IRELAND ++353-1-716-2914 Liam.Murphy@ucd.ie ABSTRACT The multimedia streams transmissions, done-recorded multimedia streams, regardless the network condition. The adaptive mechanism is implemented by a feedback

  1. Adaptive Traffic-Based Techniques For Live Multimedia Streaming

    E-Print Network [OSTI]

    Adaptive Traffic-Based Techniques For Live Multimedia Streaming Gabriel-Miro Muntean and LiamMiro.Muntean@ucd.ie, Liam.Murphy@ucd.ie Abstract The growing number of multimedia stream transmissions done through the time-sensitive applications and especially the continuity of multimedia streaming. The paper presents

  2. Innovative Approach for Urban Stream Restoration Undergraduate Thesis

    E-Print Network [OSTI]

    Innovative Approach for Urban Stream Restoration Undergraduate Thesis CHBE 494 Kosta Sainis Thesis of British Columbia campus. This will restore the fish-bearing stream, which once flowed through campus Engineering #12;i EXECUTIVE SUMMARY The novelty of this study is the design of a stream which is able

  3. How Fish Communities Differ Across Stream Restoration Intensities

    E-Print Network [OSTI]

    Vallino, Joseph J.

    ! ! ! ! How Fish Communities Differ Across Stream Restoration Intensities Andrew Miano1 Mentor to their natural function. This is known as stream restoration. Unfortunately, ecological concepts can be left out during stream restoration JK$>*!*1!$9:!'LLMN. This is in part due to the fact that ecologists still do

  4. ERDC TN-EMRRP-EBA-8 Hydrologic Analyses for Stream

    E-Print Network [OSTI]

    US Army Corps of Engineers

    ERDC TN-EMRRP-EBA-8 March 2011 Hydrologic Analyses for Stream Restoration Design by J. Craig quantified element in stream restoration, working across and governing multiple disciplines and system, and management decisions to be made (Federal Interagency Stream Restoration Working Group (FISRWG) 1998). Figure

  5. Restoring Stream Ecosystems: Lessons from a Midwestern State

    E-Print Network [OSTI]

    Lamberti, Gary A.

    Restoring Stream Ecosystems: Lessons from a Midwestern State Ashley H. Moerke1,2 and Gary A. Lamberti1 Abstract Reach-scale stream restorations are becoming a common approach to repair degraded and nature of reach-scale stream restorations in this midwestern U.S. state. For 10 attempted restorations

  6. Welcome to SWAMP The Stream and Wetland Assessment Management Park

    E-Print Network [OSTI]

    This stream restoration increases water contact with the floodplain and vegetation to remove fertilizer, auto Park SWAMP Duke University Wetland Center The Sandy Creek Stream Channel Restoration Before After.nicholas.duke.edu/wetland native bird species? The effect of stream and wetland restoration can vary depending on the bird species

  7. APPLIED ISSUES Effects of stream restoration and wastewater treatment

    E-Print Network [OSTI]

    Hershey, Anne

    APPLIED ISSUES Effects of stream restoration and wastewater treatment plant effluent on fish.S.A. Three site types were examined on each stream; two urban (restored and unrestored) and a forested site was not significant. 3. Restored stream sites had significantly higher fish richness and a trend towards greater

  8. Intense Lithium Streams in Tokamaks 1 Leonid E. Zakharov,

    E-Print Network [OSTI]

    Zakharov, Leonid E.

    Intense Lithium Streams in Tokamaks 1 Leonid E. Zakharov, Princeton University, Princeton Plasma. Temperature of the streams. 2. Lithium jets. 3. Injection into vacuum chamber. 4. Propulsion inside the vacuum chamber. 5. Stability of the lithium streams. 6. Expulsion of the lithium. 7. Summary. PRINCETON PLASMA

  9. Stabilization of tokamak plasma by lithium streams L. E. Zakharov,

    E-Print Network [OSTI]

    a stabilization mechanism independent of the plasma properties. 2. Interaction of lithium streams with externalStabilization of tokamak plasma by lithium streams L. E. Zakharov, Princeton Plasma Physics-boundary magnetohydrodynamic instabilities in tokamaks by liquid lithium streams driven by magnetic propulsion is formulated

  10. Stabilization of tokamak plasma by lithium streams L. E. Zakharov,

    E-Print Network [OSTI]

    Zakharov, Leonid E.

    a stabilization mechanism independent of the plasma properties. 2 Interaction of lithium streams with externalStabilization of tokamak plasma by lithium streams L. E. Zakharov, Princeton Plasma Physics-boundary magnetohydrodynamic instabilities in tokamaks by liquid lithium streams driven by magnetic propulsion is formulated

  11. Investigation on streaming sources in thermoacoustic prime mover

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Investigation on streaming sources in thermoacoustic prime mover R. Paridaens, S. Kouidri and F acoustic streaming is superimposed to the oscillating flow. In thermoacoustic devices, the streaming and the contribution of each phenomenon is quantified versus the channel diameter. 1 Introduction Thermoacoustic

  12. Control-Based Quality Adaptation in Data Stream Management Systems

    E-Print Network [OSTI]

    Hefeeda, Mohammed

    in a traditional DBMS, the processing of continuous queries in a data stream management system (DSMS) needs elements. Processing of data streams brings great challenges to DBMS design for two major reasons. First Management Systems 747 very common in data stream applications. Unlike those in a traditional DBMS, queries

  13. Apparatus for mixing char-ash into coal stream

    DOE Patents [OSTI]

    Blaskowski, Henry J. (Avon, CT)

    1982-03-16T23:59:59.000Z

    Apparatus for obtaining complete mixing of char with coal prior to the introduction of the mixture into the combustor (30) of a coal gasifier (10). The coal is carried in one air stream (22), and the char in another air stream (54), to a riffle plate arrangement (26), where the streams of solid are intimately mixed or blended.

  14. Pumping induced depletion from two streams Dongmin Sun a

    E-Print Network [OSTI]

    Zhan, Hongbin

    Author's personal copy Pumping induced depletion from two streams Dongmin Sun a , Hongbin Zhan b-domain and becomes identical to that of Hunt [Hunt B. Unsteady stream depletion from ground water pumping. Ground of the shortest distance from the pumping well to the other stream over the shortest distance between the two

  15. Stream depletion by groundwater pumping from leaky Vitaly A. Zlotnik

    E-Print Network [OSTI]

    Tartakovsky, Daniel M.

    Stream depletion by groundwater pumping from leaky aquifers Vitaly A. Zlotnik Department Maximum Stream Depletion Rate, which is defined as a maximum fraction of the pumping rate supplied focused on hy- draulic connection between a stream and an aquifer for pumping wells in alluvial valleys

  16. Secure Streaming Media and Digital Rights Management Deepali Holankar

    E-Print Network [OSTI]

    Stamp, Mark

    Secure Streaming Media and Digital Rights Management Deepali Holankar Department of Computer of our secure streaming media system and we give some performance results. 1 #12;2 Digital rights. Company A only wants to allow paying customers to have access to the media stream. Digital rights

  17. A Literature Review on Value Stream Mapping with a Case Study of Applying Value Stream Mapping on Research Process

    E-Print Network [OSTI]

    Li, Xiaoqi

    2014-04-23T23:59:59.000Z

    this research study and the value stream mapping of my thesis writing process. The value stream mapping process helps visualize the work and target waste, which enables future improvement toward a better state. As a result, the improved value stream maps can...

  18. Green Clean Day Planning Guide A practical guide for creating a successful Green Clean Day

    E-Print Network [OSTI]

    Awtar, Shorya

    Green Clean Day Planning Guide A practical guide for creating a successful Green Clean Day A publication of U of M Waste Management Services July 2013 #12;Table of Contents What is a Green Clean Day? 2 Why have a Green Clean Day? 2 How Do We Get Started? 2 How Waste Management Services Can Help 2

  19. Method for removing undesired particles from gas streams

    DOE Patents [OSTI]

    Durham, Michael Dean (Castle Rock, CO); Schlager, Richard John (Aurora, CO); Ebner, Timothy George (Westminster, CO); Stewart, Robin Michele (Arvada, CO); Hyatt, David E. (Denver, CO); Bustard, Cynthia Jean (Littleton, CO); Sjostrom, Sharon (Denver, CO)

    1998-01-01T23:59:59.000Z

    The present invention discloses a process for removing undesired particles from a gas stream including the steps of contacting a composition containing an adhesive with the gas stream; collecting the undesired particles and adhesive on a collection surface to form an aggregate comprising the adhesive and undesired particles on the collection surface; and removing the agglomerate from the collection zone. The composition may then be atomized and injected into the gas stream. The composition may include a liquid that vaporizes in the gas stream. After the liquid vaporizes, adhesive particles are entrained in the gas stream. The process may be applied to electrostatic precipitators and filtration systems to improve undesired particle collection efficiency.

  20. Innovative Manufacturing Initiative Recognition Day, Advanced...

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

    Publications Innovative Manufacturing Initiative Recognition Day Advanced Manufacturing Office Overview Unlocking the Potential of Additive Manufacturing in the Fuel Cells Industry...

  1. Manoa Green Days Launch July 1, 2009

    E-Print Network [OSTI]

    Wang, Yuqing

    Days in which air conditioning to participating buildings will be shutdown over the weekends, including · Radios ­ unplug · Battery chargers ­ unplug · Window air

  2. 2014 Earth Day Photo Contest Winners

    Energy Savers [EERE]

    2014 Earth Day Photo Contest Winners COMMUNITY: "Edison Home" by Gary Hartman SUSTAINABILITY: "Oak Alley" by Wade Sickinger ALTERNATIVE ENERGY: "Windmill Ablaze at Sunset" by Leroy...

  3. The Magellanic Stream in Modified Newtonian Dynamics

    E-Print Network [OSTI]

    Hossein Haghi; Sohrab Rahvar; Akram Hasani-Zonooz

    2007-01-09T23:59:59.000Z

    The dynamics of the Magellanic Stream (MS) as a series of clouds extending from the Magellanic Clouds (MCs) to the south Galactic pole is affected by the distribution and the amount of matter in the Milky Way. We calculate the gravitational effect of the Galactic disk on the MS in the framework of modified Newtonian dynamics(MOND) and compare with observations of the Stream's radial velocity. We consider the tidal force of the Galaxy, which strips material from the MCs to form the MS, and, using a no-halo model of the Galaxy, we ignore the effect of the drag of the Galactic halo on the MS. We also compare the MONDian dynamics with that in logarithmic and power-law dark halo models and show that the MOND theory seems plausible for describing the dynamics of satellite galaxies such as the MCs. Finally, we perform a maximum likelihood analysis to obtain the best MOND parameters for the Galactic disk.

  4. Removing sulphur oxides from a fluid stream

    DOE Patents [OSTI]

    Katz, Torsten; Riemann, Christian; Bartling, Karsten; Rigby, Sean Taylor; Coleman, Luke James Ivor; Lail, Marty Alan

    2014-04-08T23:59:59.000Z

    A process for removing sulphur oxides from a fluid stream, such as flue gas, comprising: providing a non-aqueous absorption liquid containing at least one hydrophobic amine, the liquid being incompletely miscible with water; treating the fluid stream in an absorption zone with the non-aqueous absorption liquid to transfer at least part of the sulphur oxides into the non-aqueous absorption liquid and to form a sulphur oxide-hydrophobic amine-complex; causing the non-aqueous absorption liquid to be in liquid-liquid contact with an aqueous liquid whereby at least part of the sulphur oxide-hydrophobic amine-complex is hydrolyzed to release the hydrophobic amine and sulphurous hydrolysis products, and at least part of the sulphurous hydrolysis products is transferred into the aqueous liquid; separating the aqueous liquid from the non-aqueous absorption liquid. The process mitigates absorbent degradation problems caused by sulphur dioxide and oxygen in flue gas.

  5. Active micromixer using surface acoustic wave streaming

    DOE Patents [OSTI]

    Branch; Darren W. (Albuquerque, NM), Meyer; Grant D. (Ithaca, NY), Craighead; Harold G. (Ithaca, NY)

    2011-05-17T23:59:59.000Z

    An active micromixer uses a surface acoustic wave, preferably a Rayleigh wave, propagating on a piezoelectric substrate to induce acoustic streaming in a fluid in a microfluidic channel. The surface acoustic wave can be generated by applying an RF excitation signal to at least one interdigital transducer on the piezoelectric substrate. The active micromixer can rapidly mix quiescent fluids or laminar streams in low Reynolds number flows. The active micromixer has no moving parts (other than the SAW transducer) and is, therefore, more reliable, less damaging to sensitive fluids, and less susceptible to fouling and channel clogging than other types of active and passive micromixers. The active micromixer is adaptable to a wide range of geometries, can be easily fabricated, and can be integrated in a microfluidic system, reducing dead volume. Finally, the active micromixer has on-demand on/off mixing capability and can be operated at low power.

  6. Digital image processing of coal stream combustion

    E-Print Network [OSTI]

    Gopalakrishnan, Chengappalli Periyasamy

    1994-01-01T23:59:59.000Z

    and used to estimate the gasification efficiency or burnt fraction. The parametric studies include gas temperature, oxygen '/o in gases, residence time, and A:F ratio of the stream. It is found that the gasification efficiency increases first with A...). . . . 84 85 89 93 93 93 . . 105 . . 107 . . 110 . . 114 6. 1 Overview of the Experiments Conducted 6. 2 Gasification Efficiency . 6. 3 Experimental Data on Gasification Efficiency 6. 3. 1 Effect of Reaction Zone Height (or Residence 6, 3. 2...

  7. Digital image processing of coal stream combustion 

    E-Print Network [OSTI]

    Gopalakrishnan, Chengappalli Periyasamy

    1994-01-01T23:59:59.000Z

    and used to estimate the gasification efficiency or burnt fraction. The parametric studies include gas temperature, oxygen '/o in gases, residence time, and A:F ratio of the stream. It is found that the gasification efficiency increases first with A...). . . . 84 85 89 93 93 93 . . 105 . . 107 . . 110 . . 114 6. 1 Overview of the Experiments Conducted 6. 2 Gasification Efficiency . 6. 3 Experimental Data on Gasification Efficiency 6. 3. 1 Effect of Reaction Zone Height (or Residence 6, 3. 2...

  8. Lone Star Healthy Streams Final Report

    E-Print Network [OSTI]

    Wagner, Kevin; Redmon, Larry

    13 Progress Report ? July 15, 2010 TWRI submitted Quarter 14 Progress Report ? October 13, 2010 TWRI submitted Quarter 15 Progress Report ? January 14, 2011 TWRI submitted Quarter 16 Progress Report Subtask 1.3: Coordination of project... on July 1, 2010 to provide a 6-month no-cost extension that extended the project end date to March 31, 2011 to allow completion of the Bacteroides analysis and development of the final report. Lone Star Healthy Streams Final Report 13 Subtask...

  9. Spatial simulation of smallmouth bass in streams

    SciTech Connect (OSTI)

    Jager, H.I.; Schmoyer, D.D.; Sale, M.J.; Van Winkle, W.; DeAngelis, D.L. [Oak Ridge National Lab., TN (United States); Sabo, M.J. [Virginia Polytechnic Inst. and State Univ., Blacksburg, VA (United States). Dept. of Fisheries and Wildlife Sciences

    1993-04-01T23:59:59.000Z

    The hydropower industry and its regulators are hampered by the inability to predict the relationship between alternative flow regimes and fish population response. We have developed a spatially explicit, individual-based model of populations of small-mouth bass in streams as part of the Compensatory Mechanisms in Fish Populations Program (see Sale and Otto 1991). In the model, the profitability of alternative stream locations varies in response to habitat depth and velocity through changes in the frequency of prey encounters and the metabolic costs experienced by fish. We conducted an evaluation of our hydraulic simulation at the scale of individual stream cells. The potential error in predictions for individual cell velocities suggests that larger-scale model predictions for the representative reach are most appropriate. At this scale, the model appears to produce realistic patterns in the growth and dispersal of young-of-year small-mouth bass. This verification step allows us to proceed with greater confidence in evaluating the original question of how small-mouth bass populations respond to alternative flow regimes.

  10. Spatial simulation of smallmouth bass in streams

    SciTech Connect (OSTI)

    Jager, H.I.; Schmoyer, D.D.; Sale, M.J.; Van Winkle, W.; DeAngelis, D.L. (Oak Ridge National Lab., TN (United States)); Sabo, M.J. (Virginia Polytechnic Inst. and State Univ., Blacksburg, VA (United States). Dept. of Fisheries and Wildlife Sciences)

    1993-01-01T23:59:59.000Z

    The hydropower industry and its regulators are hampered by the inability to predict the relationship between alternative flow regimes and fish population response. We have developed a spatially explicit, individual-based model of populations of small-mouth bass in streams as part of the Compensatory Mechanisms in Fish Populations Program (see Sale and Otto 1991). In the model, the profitability of alternative stream locations varies in response to habitat depth and velocity through changes in the frequency of prey encounters and the metabolic costs experienced by fish. We conducted an evaluation of our hydraulic simulation at the scale of individual stream cells. The potential error in predictions for individual cell velocities suggests that larger-scale model predictions for the representative reach are most appropriate. At this scale, the model appears to produce realistic patterns in the growth and dispersal of young-of-year small-mouth bass. This verification step allows us to proceed with greater confidence in evaluating the original question of how small-mouth bass populations respond to alternative flow regimes.

  11. Day of Concern Collection / Ture Erickson (collector)

    E-Print Network [OSTI]

    Handy, Todd C.

    Day of Concern Collection / Ture Erickson (collector) Last revised October 2011 University;Collection Description Day of Concern collection / Ture Erickson (collector). ­ 1984. 6.5 cm of textual records. Collector's Biographical Sketch Born in New Westminster, Ture Erickson became Head of Sedgewick

  12. Agent Notes Day 4 ~ Health Training

    E-Print Network [OSTI]

    ­ Agent Notes Day 4 ~ Health Training In preparation for the Health Day, you could order the National Institute on Aging, National Institutes of Health. To order these free booklets, go to www in the afternoon, and edit your agenda to reflect your choices. Several HealthHints newsletters are referenced

  13. : : ". RSST I Lunar Day Counter Reliability Analysis

    E-Print Network [OSTI]

    Rathbun, Julie A.

    : : ". RSST I Lunar Day Counter Reliability Analysis NO. ATM 846 PAGE 1 REV. MO. OF 10 DATE 12/3/69 This ATM presents a Reliability analysis of the Lunar Day Counter, the Resettable Solid State Timer (RSST equipment. The analysis is based on a parts count, average failure rates and two (2) years operation

  14. ESTIMATION OF THE TEMPERATURE RISE OF A MCU ACID STREAM PIPE IN NEAR PROXIMITY TO A SLUDGE STREAM PIPE

    SciTech Connect (OSTI)

    Fondeur, F; Michael Poirier, M; Samuel Fink, S

    2007-07-12T23:59:59.000Z

    Effluent streams from the Modular Caustic-Side Solvent Extraction Unit (MCU) will transfer to the tank farms and to the Defense Waste Processing Facility (DWPF). These streams will contain entrained solvent. A significant portion of the Strip Effluent (SE) pipeline (i.e., acid stream containing Isopar{reg_sign} L residues) length is within one inch of a sludge stream. Personnel envisioned the sludge stream temperature may reach 100 C during operation. The nearby SE stream may receive heat from the sludge stream and reach temperatures that may lead to flammability issues once the contents of the SE stream discharge into a larger reservoir. To this end, personnel used correlations from the literature to estimate the maximum temperature rise the SE stream may experience if the nearby sludge stream reaches boiling temperature. Several calculation methods were used to determine the temperature rise of the SE stream. One method considered a heat balance equation under steady state that employed correlation functions to estimate heat transfer rate. This method showed the maximum temperature of the acid stream (SE) may exceed 45 C when the nearby sludge stream is 80 C or higher. A second method used an effectiveness calculation used to predict the heat transfer rate in single pass heat exchanger. By envisioning the acid and sludge pipes as a parallel flow pipe-to-pipe heat exchanger, this method provides a conservative estimation of the maximum temperature rise. Assuming the contact area (i.e., the area over which the heat transfer occurs) is the whole pipe area, the results found by this method nearly matched the results found with the previous calculation method. It is recommended that the sludge stream be maintained below 80 C to minimize a flammable vapor hazard from occurring.

  15. Simultaneous and rapid determination of multiple component concentrations in a Kraft liquor process stream

    DOE Patents [OSTI]

    Li, Jian (Marietta, GA); Chai, Xin Sheng (Atlanta, GA); Zhu, Junyoung (Marietta, GA)

    2008-06-24T23:59:59.000Z

    The present invention is a rapid method of determining the concentration of the major components in a chemical stream. The present invention is also a simple, low cost, device of determining the in-situ concentration of the major components in a chemical stream. In particular, the present invention provides a useful method for simultaneously determining the concentrations of sodium hydroxide, sodium sulfide and sodium carbonate in aqueous kraft pulping liquors through use of an attenuated total reflectance (ATR) tunnel flow cell or optical probe capable of producing a ultraviolet absorbency spectrum over a wavelength of 190 to 300 nm. In addition, the present invention eliminates the need for manual sampling and dilution previously required to generate analyzable samples. The inventive method can be used in Kraft pulping operations to control white liquor causticizing efficiency, sulfate reduction efficiency in green liquor, oxidation efficiency for oxidized white liquor and the active and effective alkali charge to kraft pulping operations.

  16. Advances in total scattering analysis

    SciTech Connect (OSTI)

    Proffen, Thomas E [Los Alamos National Laboratory; Kim, Hyunjeong [Los Alamos National Laboratory

    2008-01-01T23:59:59.000Z

    In recent years the analysis of the total scattering pattern has become an invaluable tool to study disordered crystalline and nanocrystalline materials. Traditional crystallographic structure determination is based on Bragg intensities and yields the long range average atomic structure. By including diffuse scattering into the analysis, the local and medium range atomic structure can be unravelled. Here we give an overview of recent experimental advances, using X-rays as well as neutron scattering as well as current trends in modelling of total scattering data.

  17. Total Imports of Residual Fuel

    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 onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota"YearProductionShaleInput Product: TotalCountry:

  18. John Day Watershed Restoration Projects, annual report 2003.

    SciTech Connect (OSTI)

    Brown, Linda (Confederated Tribes of the Warm Springs Reservation of Oregon, John Day Basin Office, John Day, OR)

    2004-01-01T23:59:59.000Z

    The John Day is the nation's second longest free-flowing river in the contiguous United States and the longest containing entirely unsupplemented runs of anadromous fish. Located in eastern Oregon, the basin drains over 8,000 square miles, Oregon's fourth largest drainage basin, and incorporates portions of eleven counties. Originating in the Strawberry Mountains near Prairie City, the John Day River flows 284 miles in a northwesterly direction, entering the Columbia River approximately four miles upstream of the John Day dam. With wild runs of spring Chinook salmon and summer steelhead, westslope cutthroat, and redband and bull trout, the John Day system is truly a basin with national significance. The majority of the John Day basin was ceded to the Federal government in 1855 by the Confederated Tribes of the Warm Springs Reservation of Oregon (Tribes). In 1997, the Tribes established an office in the basin to coordinate restoration projects, monitoring, planning and other watershed activities on private and public lands. Once established, the John Day Basin Office (JDBO) formed a partnership with the Grant Soil and Water Conservation District (GSWCD), which contracts the majority of the construction implementation activities for these projects from the JDBO. The GSWCD completes the landowner contact, preliminary planning, engineering design, permitting, construction contracting, and construction implementation phases of most projects. The JDBO completes the planning, grant solicitation/defense, environmental compliance, administrative contracting, monitoring, and reporting portion of the program. Most phases of project planning, implementation, and monitoring are coordinated with the private landowners and basin agencies, such as the Oregon Department of Fish and Wildlife and Oregon Water Resources Department. In 2003, the JDBO and GSWCD proposed continuation of their successful partnership between the two agencies and basin landowners to implement an additional twelve (12) watershed conservation projects. The types of projects include off channel water developments, juniper control, permanent diversions, pump stations, and return-flow cooling systems. Due to funding issues and delays, permitting delays, fire closures and landowner contracting problems, 2 projects were canceled and 7 projects were rescheduled to the 2004 construction season. Project costs in 2003 totaled $115,554.00 with a total amount of $64,981.00 (56%) provided by the Bonneville Power Administration (BPA) and the remainder coming from other sources such as the Bureau of Reclamation (BOR), Oregon Watershed Enhancement Board, the U.S. Fish & Wildlife Service Partners in Wildlife Program and individual landowners.

  19. These user instructions are applicable to all StreamStats state applications, with the exception of the log-in instructions and the water-use summaries, which are

    E-Print Network [OSTI]

    Torgersen, Christian

    Shapefiles: .....................................................................19 Stream Network Navigation

  20. Proceedings of Hydrology Days 2002, Pages 56 63, April 1 4, 2002 Hydrology Days 2002

    E-Print Network [OSTI]

    Deinert, Mark

    Proceedings of Hydrology Days 2002, Pages 56 ­ 63, April 1 ­ 4, 2002 Hydrology Days 2002 Real radiography can be used for quantitative imaging of hydrologic phenomena at video frame rates, with great

  1. Page (Total 3) Philadelphia University

    E-Print Network [OSTI]

    Page (Total 3) Philadelphia University Faculty of Science Department of Biotechnology and Genetic be used in animals or plants. It can be also used in environmental monitoring, food processing ...etc are developed and marketed in kit format by biotechnology companies. The main source of information is web sites

  2. Inter-Agency Holocaust Remberance Day

    Broader source: Energy.gov [DOE]

    The ‘Days of Remembrance’ honors the six million Jews who were murdered during the Holocaust, and the five million other victims including Soviet prisoners of war, Polish Christians, physically and...

  3. 30-Day Federal Register Notice - Proposed

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

    Revised 11-2009 30-Day Federal Register Notice - Proposed 6450-01-P DEPARTMENT OF ENERGY Proposed Agency Information Collection AGENCY: U.S. Department of Energy. ACTION: Notice...

  4. 2015 Joint Capability Technology Demonstration Industry Day

    Broader source: Energy.gov [DOE]

    The Smart Power Infrastructure Demonstration for Energy Reliability and Security (SPIDERS) Joint Capability Technology Demonstration (JCTD) Phase 3 Industry Day will be on August 27, 2015, from 8 a.m. to noon at the Hawaii Convention Center.

  5. Days on market and home sales

    E-Print Network [OSTI]

    Tucker, Catherine Elizabeth

    In 2006, Massachusetts adopted a new policy that prohibits home sellers from resetting their properties’ days on market through relisting. Massachusetts homes exposed to the policy change experienced a $16,000 reduction ...

  6. SPIDERS Joint Capability Technology Demonstration Industry Day

    Broader source: Energy.gov [DOE]

    The Smart Power Infrastructure Demonstration for Energy Reliability and Security (SPIDERS) Joint Capability Technology Demonstration (JCTD) Industry Day occurred April 22, 2014, from 8 a.m. to 1:30 p.m. at Fort Carson, Colorado.

  7. Method for removing acid gases from a gaseous stream

    DOE Patents [OSTI]

    Gorin, Everett (San Rafael, CA); Zielke, Clyde W. (McMurray, PA)

    1981-01-01T23:59:59.000Z

    In a process for hydrocracking a heavy aromatic polynuclear carbonaceous feedstock containing reactive alkaline constituents to produce liquid hydrocarbon fuels boiling below about 475.degree. C. at atmospheric pressure by contacting the feedstock with hydrogen in the presence of a molten metal halide catalyst, thereafter separating a gaseous stream containing hydrogen, at least a portion of the hydrocarbon fuels and acid gases from the molten metal halide and regenerating the molten metal halide, thereby producing a purified molten metal halide stream for recycle to the hydrocracking zone, an improvement comprising; contacting the gaseous acid gas, hydrogen and hydrocarbon fuels-containing stream with the feedstock containing reactive alkaline constituents to remove acid gases from the acid gas containing stream. Optionally at least a portion of the hydrocarbon fuels are separated from gaseous stream containing hydrogen, hydrocarbon fuels and acid gases prior to contacting the gaseous stream with the feedstock.

  8. Generation of graph-state streams

    E-Print Network [OSTI]

    Daniel Ballester; Jaeyoon Cho; M. S. Kim

    2010-12-08T23:59:59.000Z

    We propose a protocol to generate a stream of mobile qubits in a graph state through a single stationary parent qubit and discuss two types of its physical implementation, namely, the generation of photonic graph states through an atom-like qubit and those of flying atoms through a cavity-mode photonic qubit. The generated graph states fall into an important class that can hugely reduce the resource requirement of fault-tolerant linear optics quantum computation, which was previously known to be far from realistic. In regard to the flying atoms, we also propose a heralded generation scheme, which allows for high-fidelity graph states even under the photon loss.

  9. Experience with pipelined multiple instruction streams

    SciTech Connect (OSTI)

    Jordan, H.F.

    1984-01-01T23:59:59.000Z

    The authors introduces the architecture and programming environment of the heterogeneous element processor (HEP) and surveys a range of scientific applications programs for which parallel versions have been produced, tested, and analyzed on this computer. In all cases, the ideal of one instruction completion every pipeline step time is closely approached. Speed limitations in the parallel programs are more often a result of the extra code necessary to ensure synchronization than of actual synchronization lockout at execution time. The pipelined multiple instruction stream architecture is shown to cover a wide range of applications with good utilization of the parallel hardware. 35 references.

  10. Particulate hot gas stream cleanup technical issues

    SciTech Connect (OSTI)

    Pontius, D.H.; Snyder, T.R.

    1999-09-30T23:59:59.000Z

    The analyses of hot gas stream cleanup particulate samples and descriptions of filter performance studied under this contract were designed to address problems with filter operation that have been linked to characteristics of the collected particulate matter. One objective of this work was to generate an interactive, computerized data bank of the key physical and chemical characteristics of ash and char collected from operating advanced particle filters and to relate these characteristics to the operation and performance of these filters. The interactive data bank summarizes analyses of over 160 ash and char samples from fifteen pressurized fluidized-bed combustion and gasification facilities utilizing high-temperature, high pressure barrier filters.

  11. Disc valve for sampling erosive process streams

    DOE Patents [OSTI]

    Mrochek, J.E.; Dinsmore, S.R.; Chandler, E.W.

    1986-01-07T23:59:59.000Z

    A four-port disc valve is described for sampling erosive, high temperature process streams. A rotatable disc defining opposed first and second sampling cavities rotates between fired faceplates defining flow passageways positioned to be alternatively in axial alignment with the first and second cavities. Silicon carbide inserts and liners composed of [alpha] silicon carbide are provided in the faceplates and in the sampling cavities to limit erosion while providing lubricity for a smooth and precise operation when used under harsh process conditions. 1 fig.

  12. DeepStream Technologies | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A Potential Microhydro SiteDayton Power & Light Co JumpDedini ADeepStream

  13. Side Stream Filtration for Cooling Towers

    Office of Energy Efficiency and Renewable Energy (EERE) 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 DataDepartment of Energy Your Density Isn'tOriginEducationVideo »UsageSecretary of EnergyFocus GroupSherrell R. Greene AboutSide Stream

  14. Fact #837: September 8, Gap between Net Imports and Total Imports...

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

    exports) were 6.2 million barrels per day in 2013 - the lowest since the 1980's (dark blue line). The widening gap between total imports (light blue line) and net imports (dark...

  15. Method and apparatus of prefetching streams of varying prefetch depth

    DOE Patents [OSTI]

    Gara, Alan (Mount Kisco, NY); Ohmacht, Martin (Yorktown Heights, NY); Salapura, Valentina (Chappaqua, NY); Sugavanam, Krishnan (Mahopac, NY); Hoenicke, Dirk (Seebruck-Seeon, DE)

    2012-01-24T23:59:59.000Z

    Method and apparatus of prefetching streams of varying prefetch depth dynamically changes the depth of prefetching so that the number of multiple streams as well as the hit rate of a single stream are optimized. The method and apparatus in one aspect monitor a plurality of load requests from a processing unit for data in a prefetch buffer, determine an access pattern associated with the plurality of load requests and adjust a prefetch depth according to the access pattern.

  16. DCU Library User Guide -DataStream Advance 5.1 What is DataStream?

    E-Print Network [OSTI]

    Humphrys, Mark

    on Criteria Search, enter your search terms and click on Search. 5. Double-click on the DS Mnemonic you want on the designated DataStream PC in the Library's information commons. You'll be prompted to "Enter Password". Type is not broken!). 2. At Novell Login: "Workstation only" must be ticked. This automatically enters "datastream

  17. Proceedings of the seventh annual gasification and gas stream cleanup systems contractors review meeting: Volume 1

    SciTech Connect (OSTI)

    Ghate, M.R.; Markel, K.E. Jr.; Jarr, L.A.; Bossart, S.J. (eds.)

    1987-08-01T23:59:59.000Z

    On June 16 through 19, 1987, METC sponsored the Seventh Annual Gasification and Gas Stream Cleanup Systems Contractors Review Meeting which was held at the Sheraton Lakeview Conference Center in Morgantown, West Virginia. The primary purpose of the meeting was threefold: to review the technical progress and current status of the gasification and gas stream cleanup projects sponsored by the Department of Energy; to foster technology exchange among participating researchers and other technical communities; to facilitate interactive dialogues which would identify research needs that would make coal-based gasification systems more attractive economically and environmentally. More than 310 representatives of Government, academia, industry, and foreign energy research organizations attended the 4-day meeting. Fifty-three papers and thirty poster displays were presented summarizing recent developments in the gasification and gas stream cleanup programs. Volume I covers information presented at sessions 1 through 4 on systems for the production of Co-products and industrial fuel gas, environmental projects, and components and materials. Individual papers have been processed for the Energy Data Base.

  18. Proceedings of the seventh annual gasification and gas stream cleanup systems contractors review meeting: Volume 2

    SciTech Connect (OSTI)

    Ghate, M.R.; Markel, K.E. Jr.; Jarr, L.A.; Bossart, S.J. (eds.)

    1987-08-01T23:59:59.000Z

    On June 16 through 19, 1987, METC sponsored the Seventh Annual Gasification and Gas Stream Cleanup Systems Contractors Review Meeting which was held at the Sheraton Lakeview Conference Center in Morgantown, West Virginia. The primary purpose of the meeting was threefold: to review the technical progress and current status of the gasification and gas stream cleanup projects sponsored by the Department of Energy; to foster technology exchange among participating researchers and other technical communities; to facilitate interactive dialogues which would identify research needs that would make coal-based gasification systems more attractive economically and environmentally. More than 310 representatives of Government, academia, industry, and foreign energy research organizations attended the 4-day meeting. Fifty-three papers and thirty poster dsplays were presented summarizing recent developments in the gasification and gas stream cleanup programs. Volume II covers papers presented at sessions 5 and 6 on system for the production of synthesis gas, and on system for the production of power. All papers have been processed for inclusion in the Energy Data Base.

  19. Costs of Imported Crude Oil for Selected Crude Streams

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 51 Table 29. F.O.B. a Costs of Imported Crude Oil for Selected Crude Streams (Dollars per Barrel) - Continued Year...

  20. asian jet stream: Topics by E-print Network

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

    Laboratory Kidston, Joseph 11 Rayleigh Wave-Internal Wave Coupling and Internal Wave Generation Above a Model Jet Stream Mathematics Websites Summary: Rayleigh...

  1. Assessing Revenue Streams: What Is Right for Your Program? |...

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

    Program Sustainability Peer Exchange Call: Assessing Revenue Streams: What is Right for Your Program? Call Slides and Summary, January 10, 2013, The purpose of this call was to...

  2. auditory stream formation: Topics by E-print Network

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

    eScholarship Repository Summary: ML: Auditory perceptual grouping and attention in dyslexia.of attention on neuroelectric correlates of auditory streamauditory streaming appears...

  3. auditory stream segregation: Topics by E-print Network

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

    eScholarship Repository Summary: ML: Auditory perceptual grouping and attention in dyslexia.of attention on neuroelectric correlates of auditory streamauditory streaming appears...

  4. New Stream-reach Development (NSD) Final Report | Department...

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

    to help individuals and organizations evaluate the feasibility of developing new hydropower sources in the United States. New Stream-reach Development Report More Documents &...

  5. Two-stream instability with time-dependent drift velocity

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Qin, Hong [PPPL; Davidson, Ronald C. [PPPL

    2014-01-01T23:59:59.000Z

    The classical two-stream instability driven by a constant relative drift velocity between two plasma components is extended to the case with time-dependent drift velocity. A solution method is developed to rigorously define and calculate the instability growth rate for linear perturbations relative to the time-dependent unperturbed two-stream motions. Stability diagrams for the oscillating two-stream instability are presented over a large region of parameter space. It is shown that the growth rate for the classical two-stream instability can be significantly reduced by adding an oscillatory component to the relative drift velocity.

  6. antarctic ice streams: Topics by E-print Network

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

    with low advective stream input and strong-0636828. Logistic support was provided by Raytheon Polar Services and Petroleum Helicopters Inc Priscu, John C. 135 EBSCMOP...

  7. antarctic ice stream: Topics by E-print Network

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

    with low advective stream input and strong-0636828. Logistic support was provided by Raytheon Polar Services and Petroleum Helicopters Inc Priscu, John C. 135 EBSCMOP...

  8. air stream velocities: Topics by E-print Network

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

    the early universe, substantial relative "stream" velocities between the gas and dark matter arise due to radiation pressure and persist after recombination. To asses the impact...

  9. Two-stream instability with time-dependent drift velocity

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Qin, Hong; Davidson, Ronald C.

    2014-06-01T23:59:59.000Z

    The classical two-stream instability driven by a constant relative drift velocity between two plasma components is extended to the case with time-dependent drift velocity. A solution method is developed to rigorously define and calculate the instability growth rate for linear perturbations relative to the time-dependent unperturbed two-stream motions. Stability diagrams for the oscillating two-stream instability are presented over a large region of parameter space. It is shown that the growth rate for the classical two-stream instability can be significantly reduced by adding an oscillatory component to the relative drift velocity.

  10. Fishing in Tidal Streams: New Radial Velocity and Proper Motion Constraints on the Orbit of the Anticenter Stream

    E-Print Network [OSTI]

    Carl J. Grillmair; Jeffrey L. Carlin; Steven R. Majewski

    2008-11-12T23:59:59.000Z

    We have obtained radial velocity measurements for stars in two, widely-separated fields in the Anticenter Stream. Combined with SDSS/USNO-B proper motions, the new measurements allow us to establish that the stream is on a nearly circular, somewhat inclined, prograde orbit around the Galaxy. While the orbital eccentricity is similar to that previously determined for the Monoceros stream, the sizes, inclinations, and positions of the orbits for the two systems differ significantly. Integrating our best fitting Anticenter Stream orbit forward, we find that it is closely aligned along and lies almost on top of a stream-like feature previously designated the "Eastern Banded Structure". The position of this feature coincides with the apogalacticon of the orbit. We tentatively conclude that this feature is the next wrap of the Anticenter Stream.

  11. DOWN-STREAM SPATIAL DISTRIBUTION OF ANTIBIOTIC RESISTANCE TRAITS ALONG METAL CONTAMINATED STREAM REACHES

    SciTech Connect (OSTI)

    Tuckfield, C; J V Mcarthur (NOEMAIL), J

    2007-04-16T23:59:59.000Z

    Sediment bacteria samples were collected from three streams in South Carolina, two contaminated with multiple metals (Four Mile Creek and Castor Creek), one uncontaminated (Meyers Branch), and another metal contaminated stream (Lampert Creek) in northern Washington State. Growth plates inoculated with Four Mile Creek sample extracts show bacteria colony growth after incubation on plates containing either one of two aminoglycosides (kanamycin or streptomycin), tetracycline or chloramphenocol. This study analyzes the spatial pattern of antibiotic resistance in culturable sediment bacteria in all four streams that may be due to metal contamination. We summarize the two aminoglycoside resistance measures and the 10 metals concentrations by Principal Components Analysis. Respectively, 63% and 58% of the variability was explained in the 1st principal component of each variable set. We used the respective multivariate summary metrics (i.e. 1st principal component scores) as input measures for exploring the spatial correlation between antibiotic resistance and metal concentration for each stream reach sampled. Results show a significant and negative correlation between metals scores versus aminoglycoside resistance scores and suggest that selection for metal tolerance among sediment bacteria may influence selection for antibiotic resistance differently than previously supposed.. In addition, we borrow a method from geostatistics (variography) wherein a spatial cross-correlation analysis shows that decreasing metal concentrations scores are associated with increasing aminoglycoside resistance scores as the separation distance between sediment samples decreases, but for contaminated streams only. Since these results were counter to our initial expectation and to other experimental evidence for water column bacteria, we suspect our field results are influenced by metal bioavailability in the sediments and by a contaminant promoted interaction or ''cocktail effect'' from complex combinations of pollution mediated selection agents.

  12. Redwood Creek, Marin County 2010 Monitoring Study of a Salmonid Habitat Stream Restoration Project: Seven-­?Year Post-­?Project Evaluation

    E-Print Network [OSTI]

    Crockett, Richard; Cundy, Fiona; Hanley, Colin

    2010-01-01T23:59:59.000Z

    Salmonid  Habitat  Stream  Restoration  Project:   Seven-­?227  |  Stream  and  River  Restoration   Term  Project  |  in  the  Stream  and   River   Restoration  class  

  13. Landscape influences on headwater streams on Fort Stewart, Georgia, USA

    SciTech Connect (OSTI)

    Jager, Yetta [ORNL; Bevelhimer, Mark S [ORNL; al., et. [Various Institutes

    2011-01-01T23:59:59.000Z

    Military landscapes represent a mixture of undisturbed natural ecosystems, developed areas, and lands that support different types and intensities of military training. Research to understand water-quality influences of military landscapes usually involves intensive sampling in a few watersheds. In this study, we developed a survey design of accessible headwater watersheds intended to improve our ability to distinguish land water relationships in general, and training influences, in particular, on Fort Stewart, GA. We sampled and analyzed water from watershed outlets. We successfully developed correlative models for total suspended solids (TSS), total nitrogen (TN), organic carbon (OC), and organic nitrogen (ON), which dominated in this blackwater ecosystem. TSS tended to be greater in samples after rainfall and during the growing season, and models that included %Wetland suggested a build-and-flush relationship. We also detected a positive association between TSS and tank-training, which suggests a need to intercept sediment-laden runoff from training areas. Models for OC showed a negative association with %Grassland. TN and ON both showed negative associations with %Grassland, %Wetland, and %Forest. Unexpected positive associations were observed between OC and equipmenttraining activity and between ON and %Bare ground ? Roads. Future studies that combine our survey-based approach with more intensive monitoring of the timing and intensity of training would be needed to better understand the mechanisms for these empirical relationships involving military training. Looking beyond local effects on Fort Stewart streams, we explore questions about how exports of OC and nitrogen from coastal military installations ultimately influence estuaries downstream.

  14. Geomorphic Stream Classification "A Classification of Natural Rivers", Rosgen, D.L.

    E-Print Network [OSTI]

    and animals are constrained by natural channel physics #12;Stream Corridor Restoration: Principles, ProcessesGeomorphic Stream Classification "A Classification of Natural Rivers", Rosgen, D.L. #12;Why is Stream Classification Essential? Napeequa River · Physical stream channel evolution ·Similar stream types

  15. Total Adjusted Sales of Kerosene

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear JanYear Jan Feb Mar Apr May(MillionFeet)JulyEnd Use: Total

  16. U.S. Total Exports

    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 onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009 2010(Billion

  17. U.S. Total Exports

    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 onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009 2010(Billion120,814 136,932

  18. U.S. Total Imports

    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 onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009 2010(Billion120,814

  19. U.S. Total Imports

    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 onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009 2010(Billion120,814Pipeline

  20. U.S. Total Stocks

    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 onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New120,814 136,9322009Feet)

  1. Types of Student Engagement and Commitment to Stream Stewardship: Strawberry Creek on University of California at Berkeley Campus

    E-Print Network [OSTI]

    Javier, Alexander; Jones, Darryl; Tannenbaum, Sara Rose

    2011-01-01T23:59:59.000Z

    history of urban streams restoration. Aquatic Conservation:of a small urban stream restoration project in NorthernLA227 River and Stream Restoration Professors G. Mathias

  2. The effectiveness of riparian restoration for improving instream fish habitat in four hardwood-dominated California streams

    E-Print Network [OSTI]

    Opperman, Jeff J; Merenlender, A M

    2004-01-01T23:59:59.000Z

    of riparian and stream restoration in the Western Unitedeval- uation of stream restoration. Restoration EcologyPess. 2002. A review of stream restoration techniques and a

  3. Carneros Creek: Assessing restoration implications for a sinuous stream using 1-dimensional and 2-dimensional simulation models

    E-Print Network [OSTI]

    Beagle, Julie; Marzion, Rachael; Matella, Mary

    2008-01-01T23:59:59.000Z

    P. et al. A Review of Stream Restoration Techniques and aa restoration strategy for this stream. Furthermore,velocity stream (Facey and Grossman, 1992), restoration

  4. Biological and Physical Assessment of Streams in Northern California: Evaluating the Effects of Global Change and Human Disturbance

    E-Print Network [OSTI]

    Lawrence, Justin Earl

    2011-01-01T23:59:59.000Z

    Key words: climate change, mediterranean streams, benthicthe effects of climate change on Mediterranean streams andeffects of climate change in mediterranean-climate streams

  5. Contamination of stream fishes with chlorinated hydrocarbons from eggs of Great Lakes salmon

    SciTech Connect (OSTI)

    Merna, J.W.

    1986-01-01T23:59:59.000Z

    Pacific salmon Oncorhynchus spp. have been stocked in the Great Lakes where they accumulate body burdens of chlorinated hydrocarbons. The transport of these contaminants to resident communities in spawning streams was studied in two tributaries of Lake Michigan accessible to anadromous spawners and one control tributary blocked to them. No polychlorinated biphenyls (PCBs), DDT, or dieldrin were detected in the sediments or biota of the control stream, or in sediments of the test streams. However, trout Salmo spp. and, to a lesser extent, sculpins Cottus spp. accumulated PCBs and DDT as a result of eating contaminated salmon eggs. Eggs constituted as much as 87% (by weight) of the total stomach contents of trout collected during the salmon spawning season early October to early January. Salmon eggs contained 0.46-9.50 mg PCBs/kg,. and 0.14-1.80 mg DDT/kg. Consumption of eggs varied greatly among individual trout, and there was a strong correlation between numbers of eggs in the stomachs and PCB and DDT concentrations in the fillets.

  6. Selective enrichment of a methanol-utilizing consortium using pulp & paper mill waste streams

    SciTech Connect (OSTI)

    Gregory R. Mockos; William A. Smith; Frank J. Loge; David N. Thompson

    2007-04-01T23:59:59.000Z

    Efficient utilization of carbon inputs is critical to the economic viability of the current forest products sector. Input carbon losses occur in various locations within a pulp mill, including losses as volatile organics and wastewater . Opportunities exist to capture this carbon in the form of value-added products such as biodegradable polymers. Waste activated sludge from a pulp mill wastewater facility was enriched for 80 days for a methanol-utilizing consortium with the goal of using this consortium to produce biopolymers from methanol-rich pulp mill waste streams. Five enrichment conditions were utilized: three high-methanol streams from the kraft mill foul condensate system, one methanol-amended stream from the mill wastewater plant, and one methanol-only enrichment. Enrichment reactors were operated aerobically in sequencing batch mode at neutral pH and 25°C with a hydraulic residence time and a solids retention time of four days. Non-enriched waste activated sludge did not consume methanol or reduce chemical oxygen demand. With enrichment, however, the chemical oxygen demand reduction over 24 hour feed/decant cycles ranged from 79 to 89 %, and methanol concentrations dropped below method detection limits. Neither the non-enriched waste activated sludge nor any of the enrichment cultures accumulated polyhydroxyalkanoates (PHAs) under conditions of nitrogen sufficiency. Similarly, the non-enriched waste activated sludge did not accumulate PHAs under nitrogen limited conditions. By contrast, enriched cultures accumulated PHAs to nearly 14% on a dry weight basis under nitrogen limited conditions. This indicates that selectively-enriched pulp mill waste activated sludge can serve as an inoculum for PHA production from methanol-rich pulp mill effluents.

  7. Competitive Equilibrium Bitrate Allocation for Multiple Video Streams

    E-Print Network [OSTI]

    Tiwari, M.; Groves, T.; Cosman, P. C.

    2010-01-01T23:59:59.000Z

    multiplexed video streams. (a) g8 video stream; (b) g9 videofor g11 to 0.94–1.44 dB for g8. However, this method cannotdB for g9 to 0.88–1.17 dB for g8 better than EQL_TS. We see

  8. Aurora: A Data Stream Management System , D. Carney

    E-Print Network [OSTI]

    Tatbul, Nesime

    Aurora: A Data Stream Management System D. Abadi , D. Carney§ , U. �etintemel§ , M. Cherniack , C activity, and processing them for purposes of filtering, aggregation, reduction, and correlation. Aurora [1 OF AURORA Aurora is being designed to deal with large numbers of asynchronous, push-based data streams

  9. The Aurora and Borealis Stream Processing Ugur Cetintemel1

    E-Print Network [OSTI]

    Balazinska, Magdalena

    The Aurora and Borealis Stream Processing Engines Ugur C¸etintemel1 , Daniel Abadi2 , Yanif Ahmad1 on an SPE. The Aurora stream-processing engine, motivated by these three tenets, is currently operational-shedding algorithms are presented in [18], and our approach to high availability in a multi-site Aurora installation

  10. Aurora: A Data Stream Management System , D. Carney

    E-Print Network [OSTI]

    Cherniack, Mitch

    Aurora: A Data Stream Management System D. Abadi , D. Carney§ , U. Cetintemel§ , M. Cherniack , C.I.T. Abstract The Aurora system [1] is an experimental data stream management system with a fully functional to demonstrate the Aurora system with its development environment and runtime system, with several example

  11. On Efficient Matching of Streaming XML Documents and Queries

    E-Print Network [OSTI]

    Lakshmanan, Laks V.S.

    On Efficient Matching of Streaming XML Documents and Queries Laks V.S. Lakshmanan 1 and P. Sailaja­commerce, and supply­chain management require the ability to manage large sets of specifications of prod­ ucts and.g., a document that is streaming by) is quite small compared to the number of registered queries (which can

  12. Traffic-Aware Video Streaming in Broadband Wireless Networks

    E-Print Network [OSTI]

    Ansari, Nirwan

    Traffic-Aware Video Streaming in Broadband Wireless Networks Ehsan Haghani and Nirwan Ansari Shyam in the Internet. Streaming real-time video in wireless networks is a challenging problem due to the stringent video quality at the end user in wireless networks. Our solution incorporates the characteristics

  13. Rangeland Watershed Management for Texans: Are Your Streams Healthy?

    E-Print Network [OSTI]

    White, Larry D.; Rector, Barron S.; Hays, K. Brian

    2000-10-30T23:59:59.000Z

    heavy rainfall. Determine whether or not they have adequate vegetative cover and whether or not they are eroding. Then classify stream banks into one of four categories (Fig. 1). Are Your Streams Healthy? Larry D. White, Barron S. Rector and K. Brian...

  14. New Strategies for Implementing Locally Integrated Stream Restoration Projects

    E-Print Network [OSTI]

    Twente, Universiteit

    1 New Strategies for Implementing Locally Integrated Stream Restoration Projects Cheryl de Boer opportunities for improvements and alterations at different areas of the stream. Based on an existing framework acknowledgment and consequently, river restoration projects have commenced that are for a large portion in fact

  15. RESEARCH ARTICLE Estimation of forest harvesting-induced stream temperature

    E-Print Network [OSTI]

    Hinch, Scott G.

    RESEARCH ARTICLE Estimation of forest harvesting-induced stream temperature changes coastal British Columbia, Canada, were analyzed to assess the thermal effects of clearcut harvesting with no riparian buffer on a fish-bearing headwater stream. The approach used time series of daily mean water

  16. ROAD AND STREAM NETWORK CONNECTIVITY NORTHEASTERN PUERTO RICO

    E-Print Network [OSTI]

    THESIS ROAD AND STREAM NETWORK CONNECTIVITY NORTHEASTERN PUERTO RICO Submitted by Kirk Ryan: NORTHEASTERN PUERTO RICO BE ACCEPTED AS FULFILLING IN PART REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE CONNECTIVITY NORTHEASTERN PUERTO RICO The research performed in this thesis evaluated road and stream network

  17. Water Quality of Streams Tributary to Lakes Superior and Michigan

    E-Print Network [OSTI]

    559 Water Quality of Streams Tributary to Lakes Superior and Michigan Marine Biological Laboratory and Michigan By JEROME W. ZIMMERMAN United States Fish and Wildlife Service Special Scientific Report Superior and Michigan 16 Causes of changes in water quality 35 Literature cited 35 Appendix. Streams

  18. Power Save Adaptation Algorithm for Multimedia Streaming to Mobile Devices

    E-Print Network [OSTI]

    Power Save Adaptation Algorithm for Multimedia Streaming to Mobile Devices Janet Adams Performance. This paper proposes a power save adaptation algorithm for mobile multimedia streaming that aims to increase stages: data reception, decoding and playing and power saving solutions for each of these stages

  19. Adaptive-Buffer Power Save Mechanism for Mobile Multimedia Streaming

    E-Print Network [OSTI]

    Adaptive-Buffer Power Save Mechanism for Mobile Multimedia Streaming Janet Adams Performance such as those involving mobile multimedia streaming. This paper proposes an Adaptive-Buffer Power Save mecha and consequently saving power. Data is eventually delivered in one of the station's following attempts to receive

  20. Lean Supply Chain Management Value Stream Mapping & Logistics Costs Tracking

    E-Print Network [OSTI]

    Dalang, Robert C.

    Lean Supply Chain Management Value Stream Mapping & Logistics Costs Tracking Supply Chain (physical, informational, financial) in order to have better insight on the logistics costs and the transit Stream Mapping method. The analysis is mainly focused on the global logistics and the production planning

  1. Energy-Aware MPEG-4 FGS Streaming Kihwan Choi1

    E-Print Network [OSTI]

    Pedram, Massoud

    Energy-Aware MPEG-4 FGS Streaming Kihwan Choi1 , Kwanho Kim2 , and Massoud Pedram1 1 Dept. of EE, we propose an energy-aware MPEG-4 FGS video streaming system with client feedback. In this client in the client by making the MPEG-4 FGS streamer energy-aware. Categories and Subject Descriptors H.4

  2. Video Stream Transmodality Pierre-Olivier Rocher12

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Video Stream Transmodality Pierre-Olivier Rocher12 , Christophe Gravier1 , Julien Subercaze12-olivier.rocher, christophe.gravier, julien.subercaze}@telecom-st-etienne.fr marius.preda@telecom-sudparis.eu Keywords: video, at constant bandwidth. In this paper we present the transmodality of video stream. Our contribution

  3. Online Mining of Data Streams: Problems, Applications and Progress

    E-Print Network [OSTI]

    Pei, Jian

    Online Mining of Data Streams: Problems, Applications and Progress Haixun Wang1 Jian Pei2 Philip S://www.cs.sfu.ca/~jpei #12;ICDE 2005 Tutorial 3 Outline · Introduction ­ Applications and Challenges · Mining data streams, Personal address book, Personal records, Payroll data bases, Expense reports, Logs of tunnel activities

  4. Ice stream basal conditions from block-wise surface data inversion and simple regression models of ice stream flow: Application to

    E-Print Network [OSTI]

    Boyce, C. Kevin

    Ice stream basal conditions from block-wise surface data inversion and simple regression models of ice stream flow: Application to Bindschadler Ice Stream O. V. Sergienko,1 R. A. Bindschadler,2 P. L; published 4 December 2008. [1] Widespread basal conditions controlling ice stream flows are still beyond

  5. Coal liquefaction process streams characterization and evaluation

    SciTech Connect (OSTI)

    Rathbone, R.F.; Hower, J.C.; Derbyshire, F.J. (Kentucky Univ., Lexington, KY (United States). Center for Applied Energy Research)

    1991-10-01T23:59:59.000Z

    This study demonstrated the feasibility of using fluorescence and reflectance microscopy techniques for the examination of distillation resid materials derived from direct coal liquefaction. Resid, as defined here, is the 850{degrees}F{sup +} portion of the process stream, and includes soluble organics, insoluble organics and ash. The technique can be used to determine the degree of hydrogenation and the presence of multiple phases occurring within a resid sample. It can also be used to infer resid reactivity. The technique is rapid, requiring less than one hour for sample preparation and examination, and thus has apparent usefulness for process monitoring. Additionally, the technique can distinguish differences in samples produced under various process conditions. It can, therefore, be considered a potentially useful technique for the process developer. Further development and application of this analytical method as a process development tool is justified based on these results.

  6. Experience with pipelined multiple instruction streams

    SciTech Connect (OSTI)

    Jordon, H.F.

    1984-01-01T23:59:59.000Z

    Pipelining has been used to implement efficient, high-speed vector computers. It is also an effective method for implementing multiprocessors. The Heterogeneous Element Processor (HEP) built by Denelcor Incorporated is the first commercially available computer system to use pipelining to implement multiple processes. This paper introduces the architecture and programming environment of the HEP and surveys a range of scientific applications programs for which parallel versions have been produced, tested, and analyzed on this computer. In all cases, the ideal of one instruction completion every pipeline step time is closely approached. Speed limitations in the parallel programs are more often a result of the extra code necessary to ensure synchronization than of actual synchronization lockout at execution time. The pipelined multiple instruction stream architecture is shown to cover a wide range of applications with good utilization of the parallel hardware.

  7. Anomaly Detection in Streaming Sensor Data

    E-Print Network [OSTI]

    Pawling, Alec; Candia, Julián; Schoenharl, Tim; Madey, Greg

    2008-01-01T23:59:59.000Z

    In this chapter we consider a cell phone network as a set of automatically deployed sensors that records movement and interaction patterns of the population. We discuss methods for detecting anomalies in the streaming data produced by the cell phone network. We motivate this discussion by describing the Wireless Phone Based Emergency Response (WIPER) system, a proof-of-concept decision support system for emergency response managers. We also discuss some of the scientific work enabled by this type of sensor data and the related privacy issues. We describe scientific studies that use the cell phone data set and steps we have taken to ensure the security of the data. We describe the overall decision support system and discuss three methods of anomaly detection that we have applied to the data.

  8. Checklist 2 The first days in Germany

    E-Print Network [OSTI]

    Kemper, Gregor

    Checklist 2 The first days in Germany Further information and explanations for the following points (former E111 or E128) or EHIC-Card to one of the social insurers in Germany. You will then be issued in Germany! Only when you have a permanent address you can register with the Citizens' Bureau (Bürgerbüro

  9. Engineering Exploration Day Saturday, February 13, 2010

    E-Print Network [OSTI]

    Rutledge, Steven

    Engineering Exploration Day Saturday, February 13, 2010 Fort Collins, Colorado #12;2 EXPLORATION Engineering, Dr. Ken Reardon LSC Room 224-226 Electrical & Computer Engineering, Karen Ungerer LSC Room 228 Environmental Engineering, Dr. Sybil Sharvelle LSC Room 230 Mechanical Engineering, Dr. Patrick Fitzhorn

  10. TEAM DAY GLOBC 21 janvier 2004

    E-Print Network [OSTI]

    Page 1 TEAM DAY GLOBC 21 janvier 2004 #12;Page 2 Plan général ·OASIS ·PALM ·Perspectives PALM-OASIS ·Applications PALM #12;Page 3 Le coupleur OASIS ·OASIS ·L'historique ·La communauté aujourd'hui ·Le projet PRISM ·OASIS3: Finalisation et diffusion ·OASIS4: 1ère version d'un coupleur parallèle ·Perspectives OASIS #12

  11. John Day Tailrace MASS2 Hydraulic Modeling

    SciTech Connect (OSTI)

    Rakowski, Cynthia L.; Richmond, Marshall C.

    2003-06-03T23:59:59.000Z

    Recent biological results for the Juvenile Bypass System at John Jay Lock and Dam have raised concerns about the hydraulic conditions that are created in the tailrace under different project operations. This Memorandum for Record discusses the development and application of a truncated MASS2 model in the John Day tailrace.

  12. One day seminar: Genetics and Genomics of

    E-Print Network [OSTI]

    Brierley, Andrew

    SCHOOL OF MEDICINE One day seminar: Genetics and Genomics of Infectious Diseases Malaria and TB 14th June 2013 University of St Andrews - School of Medicine Pathogen genome research allows exquisite to understanding disease progression. Pathogen genome sequencing is accessible to most. Outputs have broad

  13. Nordic Polymer Days 2006 Copenhagen, Denmark

    E-Print Network [OSTI]

    Abstract Nordic Polymer Days 2006 Copenhagen, Denmark Polyacrylamide nanosensor embedded Scharff-Poulsen, c Hong Gu, d Wolf B. Fromme, b Iver Jakobsen, a Kristoffer Almdal a The Danish Polymer-linked polymer in nanometer scale, have several advantages over direct loading of cells with fluorescent probes

  14. Capturing Data Uncertainty in High-Volume Stream Processing

    E-Print Network [OSTI]

    Diao, Yanlei; Liu, Anna; Peng, Liping; Sutton, Charles; Tran, Thanh; Zink, Michael

    2009-01-01T23:59:59.000Z

    We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuses on data that is naturally modeled as continuous random variables. For such data, our system employs an approach grounded in probability and statistical theory to capture data uncertainty and integrates this approach into high-volume stream processing. The first component of our system captures uncertainty of raw data streams from sensing devices. Since such raw streams can be highly noisy and may not carry sufficient information for query processing, our system employs probabilistic models of the data generation process and stream-speed inference to transform raw data into a desired format with an uncertainty metric. The second component captures uncertainty as data propagates through query operators. To efficiently quantify result uncertainty of a query operator, we explore a variety of techniques based on probability and statisti...

  15. Method for removing undesired particles from gas streams

    DOE Patents [OSTI]

    Durham, M.D.; Schlager, R.J.; Ebner, T.G.; Stewart, R.M.; Hyatt, D.E.; Bustard, C.J.; Sjostrom, S.

    1998-11-10T23:59:59.000Z

    The present invention discloses a process for removing undesired particles from a gas stream including the steps of contacting a composition containing an adhesive with the gas stream; collecting the undesired particles and adhesive on a collection surface to form an aggregate comprising the adhesive and undesired particles on the collection surface; and removing the agglomerate from the collection zone. The composition may then be atomized and injected into the gas stream. The composition may include a liquid that vaporizes in the gas stream. After the liquid vaporizes, adhesive particles are entrained in the gas stream. The process may be applied to electrostatic precipitators and filtration systems to improve undesired particle collection efficiency. 11 figs.

  16. Computational Fluid Dynamics Modeling of the John Day Dam Tailrace

    SciTech Connect (OSTI)

    Rakowski, Cynthia L.; Perkins, William A.; Richmond, Marshall C.; Serkowski, John A.

    2010-07-08T23:59:59.000Z

    US Army Corps of Engineers - Portland District required that a two-dimensional (2D) depth-averaged and a three-dimensional (3D) free-surface numerical models to be developed and validated for the John Day tailrace. These models were used to assess potential impact of a select group of structural and operational alternatives to tailrace flows aimed at improving fish survival at John Day Dam. The 2D model was used for the initial assessment of the alternatives in conjunction with a reduced-scale physical model of the John Day Project. A finer resolution 3D model was used to more accurately model the details of flow in the stilling basin and near-project tailrace hydraulics. Three-dimensional model results were used as input to the Pacific Northwest National Laboratory particle tracking software, and particle paths and times to pass a downstream cross section were used to assess the relative differences in travel times resulting from project operations and structural scenarios for multiple total river flows. Streamlines and neutrally-buoyant particles were seeded in all turbine and spill bays with flows. For a Total River of 250 kcfs running with the Fish Passage Plan spill pattern and a spillwall, the mean residence times for all particles were little changed; however the tails of the distribution were truncated for both spillway and powerhouse release points, and, for the powerhouse releases, reduced the residence time for 75% of the particles to pass a downstream cross section from 45.5 minutes to 41.3 minutes. For a total river of 125 kcfs configured with the operations from the Fish Passage Plan for the temporary spillway weirs and for a proposed spillwall, the neutrally-buoyant particle tracking data showed that the river with a spillwall in place had the overall mean residence time increase; however, the residence time for 75% of the powerhouse-released particles to pass a downstream cross section was reduced from 102.4 min to 89 minutes.

  17. Multifunctional Riverscapes: Stream restoration, Capability Brown's water features, and artificial whitewater

    E-Print Network [OSTI]

    Podolak, Kristen Nichole

    2012-01-01T23:59:59.000Z

    and challenges for stream restoration in the United States.and challenges for stream restoration in the United States.of a small, urban stream restoration project in northern

  18. The expansion of woody riparian vegetation, and subsequent stream restoration, influences the metabolism of prairie

    E-Print Network [OSTI]

    Dodds, Walter

    The expansion of woody riparian vegetation, and subsequent stream restoration, influences, the restoration allowed recovery of some features of open-canopy prairie streams. Woody expansion apparently. Keywords: macroalgae, microalgae, primary production, restoration, streams Introduction North American

  19. Multifunctional Riverscapes: Stream restoration, Capability Brown’s water features, and artificial whitewater

    E-Print Network [OSTI]

    Podolak, Kristen

    2012-01-01T23:59:59.000Z

    and challenges for stream restoration in the United States.and challenges for stream restoration in the United States.of a small, urban stream restoration project in northern

  20. Efficient and private distance approximation in the communication and streaming models

    E-Print Network [OSTI]

    Woodruff, David Paul, 1980-

    2007-01-01T23:59:59.000Z

    This thesis studies distance approximation in two closely related models - the streaming model and the two-party communication model. In the streaming model, a massive data stream is presented in an arbitrary order to a ...

  1. Jitter Analysis of an MMPP2 Tagged Stream in the presence of an MMPP2 Background Stream

    E-Print Network [OSTI]

    Perros, Harry

    Jitter Analysis of an MMPP­2 Tagged Stream in the presence of an MMPP­2 Background Stream G. Geleji the jitter, defined as a percentile of the inter­departure time. The formulation is exact, but the solution approximation and verify it by simulation. Keywords: single queue, tandem queueing network, multi­class, jitter

  2. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,602 1,397...

  3. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All...

  4. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,870 1,276...

  5. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update (EIA)

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,037...

  6. TITLE: Multimedia Over the Internet DURATION: Half day (can be extended to full-day)

    E-Print Network [OSTI]

    Furht, Borko

    SEMINAR TITLE: Multimedia Over the Internet DURATION: Half day (can be extended to full-day) INSTRUCTOR: Borko Furht, Professor and Director of NSF Multimedia Laboratory Department of Computer Science-2800 Email: borko@cse.fau.edu OBJECTIVE: Multimedia coupled with information superhighways allows

  7. Phase I chemical speciation modeling of stream mixing in the LAW/HLW Envelope A Treatment

    SciTech Connect (OSTI)

    Kaplan, D.I.

    2000-03-07T23:59:59.000Z

    The intent of this work was to provide a first approximation of the effect of stream mixing and waste stream composition on precipitation.

  8. The Impact of Low Octane Hydrocarbon Blending Streams on "E85...

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

    The Impact of Low Octane Hydrocarbon Blending Streams on "E85" Engine Optimization The Impact of Low Octane Hydrocarbon Blending Streams on "E85" Engine Optimization...

  9. What is a High Electric Demand Day?

    Broader source: Energy.gov [DOE]

    This presentation by T. McNevin of the New Jersey Bureau of Air Quality Planning was part of the July 2008 Webcast sponsored by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Weatherization and Intergovernmental Program Clean Energy and Air Quality Integration Initiative that was titled Role of Energy Efficiency and Renewable Energy in Improving Air Quality and Addressing Greenhouse Gas Reduction Goals on High Electric Demand Days.

  10. Green day 2013 28/01/2013 29/01/2013

    E-Print Network [OSTI]

    Lefèvre, Laurent

    Green day 2013 28/01/2013 ­ 29/01/2013 1/29 An Energy-aware Multi-start Local Search Metaheuristic;Motivation Energy consumption represents more than 42% of the total data center budget. Source: Koomey 2007 ... · ... while optimizing the energy consumption · ...Each VM can be affected to one and only one host. · ...The

  11. Total termination of term rewriting is undecidable

    E-Print Network [OSTI]

    Utrecht, Universiteit

    Total termination of term rewriting is undecidable Hans Zantema Utrecht University, Department Usually termination of term rewriting systems (TRS's) is proved by means of a monotonic well­founded order. If this order is total on ground terms, the TRS is called totally terminating. In this paper we prove that total

  12. Total Petroleum Systems and Assessment Units (AU)

    E-Print Network [OSTI]

    Torgersen, Christian

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

  13. Assessment of Natural Stream Sites for Hydroelectric Dams in the Pacific Northwest Region

    SciTech Connect (OSTI)

    Douglas G. Hall; Kristin L. Verdin; Randy D. Lee

    2012-03-01T23:59:59.000Z

    This pilot study presents a methodology for modeling project characteristics using a development model of a stream obstructing dam. The model is applied to all individual stream reaches in hydrologic region 17, which encompasses nearly all of Idaho, Oregon, and Washington. Project site characteristics produced by the modeling technique include: capacity potential, principal dam dimensions, number of required auxiliary dams, total extent of the constructed impoundment boundary, and the surface area of the resulting reservoir. Aggregated capacity potential values for the region are presented in capacity categories including total, that at existing dams, within federal and environmentally sensitive exclusion zones, and the balance which is consider available for greenfield development within the limits of the study. Distributions of site characteristics for small hydropower sites are presented and discussed. These sites are screened to identify candidate small hydropower sites and distributions of the site characteristics of this site population are presented and discussed. Recommendations are made for upgrading the methodology and extensions to make the results more accessible and available on a larger scale.

  14. Apparatus for removal of particulate matter from gas streams

    DOE Patents [OSTI]

    Smith, Peyton L. (Baton Rouge, LA); Morse, John C. (Baton Rouge, LA)

    2000-01-01T23:59:59.000Z

    An apparatus for the removal of particulate matter from the gaseous product stream of an entrained flow coal gasifier which apparatus includes an initial screen, an intermediate screen which is aligned with the direction of flow of the gaseous product stream and a final screen transversely disposed to the flow of gaseous product and which apparatus is capable of withstanding at least a pressure differential of about 10 psi (68.95 kPa) or greater at the temperatures of the gaseous product stream.

  15. Characterization of industrial process waste heat and input heat streams

    SciTech Connect (OSTI)

    Wilfert, G.L.; Huber, H.B.; Dodge, R.E.; Garrett-Price, B.A.; Fassbender, L.L.; Griffin, E.A.; Brown, D.R.; Moore, N.L.

    1984-05-01T23:59:59.000Z

    The nature and extent of industrial waste heat associated with the manufacturing sector of the US economy are identified. Industry energy information is reviewed and the energy content in waste heat streams emanating from 108 energy-intensive industrial processes is estimated. Generic types of process equipment are identified and the energy content in gaseous, liquid, and steam waste streams emanating from this equipment is evaluated. Matchups between the energy content of waste heat streams and candidate uses are identified. The resultant matrix identifies 256 source/sink (waste heat/candidate input heat) temperature combinations. (MHR)

  16. Tailoring hydrocarbon streams for asphaltene removal

    SciTech Connect (OSTI)

    Del Bianco, A.; Stroppa, F.; Bertero, L.

    1995-11-01T23:59:59.000Z

    Oilfield production is often hindered by asphaltene precipitation which tends to fill the pores of the reservoir rocks and plug the wellbore tubing as well as the other auxiliary equipment used during crude oil recovery. Several remedies to remove these deposits have been proposed and patented but the injection of aromatic solvents such as toluene and light petroleum distillates is normally preferred. Previous studies with a number of pure aromatic hydrocarbons have shown that the solvent capacity of these molecules may be very different and that the degree of condensation plays an important role. In this regard, tetralins and naphthalenes are superior to alkylbenzenes. However, because the use of pure compounds is not economically feasible, the authors examined various industrial streams and the authors correlated their chemical composition to the solvent capacity. This work allowed the identification of the pseudo-components whose relative concentration is crucial for evaluating the solvent performances. Based on these data, the authors were able to find new products with ideal characteristics. The efficiency of one of these products was confirmed by the analysis of the data obtained when using this new solvent to remove asphaltene in damaged wells of an Italian field.

  17. Hydropower Resource Assessment of Brazilian Streams

    SciTech Connect (OSTI)

    Douglas G. Hall

    2011-09-01T23:59:59.000Z

    The Idaho National Laboratory (INL) in collaboration with the U.S. Geological Survey (USGS) with the assistance of the Empresa de Pesquisa Energetica (EPE) and the Agencia Nacional de Energia Electrica (ANEEL) has performed a comprehensive assessment of the hydropower potential of all Brazilian natural streams. The methodology by which the assessment was performed is described. The results of the assessment are presented including an estimate of the hydropower potential for all of Brazil, and the spatial distribution of hydropower potential thus providing results on a state by state basis. The assessment results have been incorporated into a geographic information system (GIS) application for the Internet called the Virtual Hydropower Prospector do Brasil. VHP do Brasil displays potential hydropower sites on a map of Brazil in the context of topography and hydrography, existing power and transportation infrastructure, populated places and political boundaries, and land use. The features of the application, which includes tools for finding and selecting potential hydropower sites and other features and displaying their attributes, is fully described.

  18. Waste Stream Analyses for Nuclear Fuel Cycles

    SciTech Connect (OSTI)

    N. R. Soelberg

    2010-08-01T23:59:59.000Z

    A high-level study was performed in Fiscal Year 2009 for the U.S. Department of Energy (DOE) Office of Nuclear Energy (NE) Advanced Fuel Cycle Initiative (AFCI) to provide information for a range of nuclear fuel cycle options (Wigeland 2009). At that time, some fuel cycle options could not be adequately evaluated since they were not well defined and lacked sufficient information. As a result, five families of these fuel cycle options are being studied during Fiscal Year 2010 by the Systems Analysis Campaign for the DOE NE Fuel Cycle Research and Development (FCRD) program. The quality and completeness of data available to date for the fuel cycle options is insufficient to perform quantitative radioactive waste analyses using recommended metrics. This study has been limited thus far to qualitative analyses of waste streams from the candidate fuel cycle options, because quantitative data for wastes from the front end, fuel fabrication, reactor core structure, and used fuel for these options is generally not yet available.

  19. Property:DayQuantity | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,PillarPublicationType JumpDOEInvolve Jump to: navigation,DayQuantity Jump to:

  20. 4th Day Energy | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORT Americium/Curium Vitrification4th Day Energy Jump to:

  1. SunDay | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar Jump to: navigation, searchNewOpenSumpter,Sun CitySunSunConnexSunDay

  2. Ideas for What to Do this Earth Day

    Broader source: Energy.gov [DOE]

    Given that Earth Day's coming up in a couple of days, you might find a few things you can do if you choose to celebrate Earth Day this year.

  3. Minimum Stream Flow and Water Sale Contracts (Indiana)

    Broader source: Energy.gov [DOE]

    The Indiana Natural Resources Commission may provide certain minimum quantities of stream flow or sell water on a unit pricing basis for water supply purposes from the water supply storage in...

  4. Visualization and Classification of Power System Frequency Data Streams

    SciTech Connect (OSTI)

    Bank, Jason N [ORNL; Omitaomu, Olufemi A [ORNL; Fernandez, Steven J [ORNL; Liu, Yilu [ORNL

    2009-01-01T23:59:59.000Z

    Two challenges in the realization of the smart grid technology are the ability to visualize the deluge of expected data streams for global situational awareness and the ability to detect disruptive and classify events from spatially-distributed high-speed power system frequency measurements while minimizing false alarms and eliminating missed detection. This paper presents an interactive visualization model for high speed power system frequency data streams that presents both local and global views of the data streams for decision making process. It also presents a K-Median for clustering and identifying disruptive events in spatially-distributed data streams. The results from experimental evaluation on a variety of datasets show that K-Median achieve better performance and empowers analysts with the ability to make sense of a deluge of frequency measurements in a real-time situation.

  5. Using value stream mapping to improve forging processes

    E-Print Network [OSTI]

    King, Stephen G. (Stephen George), 1974-

    2004-01-01T23:59:59.000Z

    Value stream mapping is a technique that uses icons to map the flow of product through a manufacturing system. These icons are aided by summary statistics to further detail the specific manufacturing system. The value ...

  6. acid effluent streams: Topics by E-print Network

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

    Sciences and Ecology Websites Summary: mining often exposes unweathered rock to wind and rain, which can leach heavy metals into streams grants to study the dynamics of acid mine...

  7. A streaming computation framework for the Cell Processor

    E-Print Network [OSTI]

    Zhang, Xin David

    2007-01-01T23:59:59.000Z

    The Cell architecture is a heterogeneous, distributed-memory multicore architecture that features a novel on-chip communication network. Stream programs are particularly well-suited for execution on Cell.This thesis ...

  8. A signal oriented stream processing system for pipeline monitoring

    E-Print Network [OSTI]

    Tokmouline, Timur

    2006-01-01T23:59:59.000Z

    In this thesis, we develop SignalDB, a framework for composing signal processing applications from primitive stream and signal processing operators. SignalDB allows the user to focus on the signal processing task and avoid ...

  9. Basal melt rates beneath Whillans Ice Stream, West Antarctica

    E-Print Network [OSTI]

    Beem, Lucas H.; Jezek, Ken C.; Van Der Veen, C. J.

    2010-08-05T23:59:59.000Z

    Basal water lubricates and enables the fast flow of the West Antarctic ice streams which exist under low gravitational driving stress. Identification of sources and rates of basal meltwater production can provide insight into the dynamics of ice...

  10. Shear measurements across the northern margin of Whillans Ice Stream

    E-Print Network [OSTI]

    Van Der Veen, C.J.; Jezek, K.; Stearns, Leigh

    2007-01-01T23:59:59.000Z

    Field measurements of surface deformation across the northern shear margin of Whillans Ice Stream, West Antarctica, were analyzed to better understand the processes controlling the position and migration of this margin. Four lines of poles extending...

  11. Development of a cell-based stream flow routing model 

    E-Print Network [OSTI]

    Raina, Rajeev

    2005-08-29T23:59:59.000Z

    This study presents the development of a cell-based routing model. The model developed is a two parameter hydrological routing model that uses a coarse resolution stream network to route runoff from each cell in the watershed ...

  12. aqueous waste streams: Topics by E-print Network

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

    the device geometry. Wang, Cheng; Hilgenfeldt, Sascha 2010-01-01 459 METO 621METO 621 Lesson 12: Two-stream Solution Geosciences Websites Summary: METO 621METO 621 Lesson 12:...

  13. acid waste streams: Topics by E-print Network

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

    the device geometry. Wang, Cheng; Hilgenfeldt, Sascha 2010-01-01 471 METO 621METO 621 Lesson 12: Two-stream Solution Geosciences Websites Summary: METO 621METO 621 Lesson 12:...

  14. Gulf stream temperature, salinity and transport during the last millennium

    E-Print Network [OSTI]

    Lund, David Charles

    2006-01-01T23:59:59.000Z

    Benthic and planktonic foraminiferal [delta]18O ([delta 18Oc) from a suite of well-dated, high-resolution cores spanning the depth and width of the Straits of Florida reveal significant changes in Gulf Stream cross-current ...

  15. Multiplexing video streams using dual-frame video coding

    E-Print Network [OSTI]

    Tiwari, M; Groves, T; Cosman, P C

    2008-01-01T23:59:59.000Z

    novel idea for multiplexing video streams was to combine theLTR frames in dual-frame video coding with EqualSlope. T.Luthra, “Overview of the H.264/AVC video coding standard,”

  16. Mining Distribution Change in Stock Order Streams Xiaoyan Liu#1

    E-Print Network [OSTI]

    Zhang, Rui

    by employing a natural Poisson distribution assumption about the nature of stock order streams. We establish that an oil company has found a new oil source, they will submit large numbers of orders to buy the stocks

  17. Complete plasmon spectrum of two-stream system

    E-Print Network [OSTI]

    Deja, Katarzyna

    2015-01-01T23:59:59.000Z

    The complete spectrum of plasmons of the two interpenetrating plasma streams is found in a closed analytic form. The orientation of the wave vector with respect to the stream direction is arbitrary and the plasmas, which are assumed to be collisionless and spatially homogeneous, can be nonrelativistic, relativistic or even ultrarelativistic. Our results apply to the electromagnetic plasma of electrons and passive ions and to the quark-gluon plasma governed by QCD.

  18. Complete plasmon spectrum of two-stream system

    E-Print Network [OSTI]

    Katarzyna Deja; Stanislaw Mrowczynski

    2015-03-30T23:59:59.000Z

    The complete spectrum of plasmons of the two interpenetrating plasma streams is found in a closed analytic form. The orientation of the wave vector with respect to the stream direction is arbitrary and the plasmas, which are assumed to be collisionless and spatially homogeneous, can be nonrelativistic, relativistic or even ultrarelativistic. Our results apply to the electromagnetic plasma of electrons and passive ions and to the quark-gluon plasma governed by QCD.

  19. Thief carbon catalyst for oxidation of mercury in effluent stream

    DOE Patents [OSTI]

    Granite, Evan J. (Wexford, PA); Pennline, Henry W. (Bethel Park, PA)

    2011-12-06T23:59:59.000Z

    A catalyst for the oxidation of heavy metal contaminants, especially mercury (Hg), in an effluent stream is presented. The catalyst facilitates removal of mercury through the oxidation of elemental Hg into mercury (II) moieties. The active component of the catalyst is partially combusted coal, or "Thief" carbon, which can be pre-treated with a halogen. An untreated Thief carbon catalyst can be self-promoting in the presence of an effluent gas streams entrained with a halogen.

  20. Membrane for hydrogen recovery from streams containing hydrogen sulfide

    DOE Patents [OSTI]

    Agarwal, Pradeep K.

    2007-01-16T23:59:59.000Z

    A membrane for hydrogen recovery from streams containing hydrogen sulfide is provided. The membrane comprises a substrate, a hydrogen permeable first membrane layer deposited on the substrate, and a second membrane layer deposited on the first layer. The second layer contains sulfides of transition metals and positioned on the on a feed side of the hydrogen sulfide stream. The present invention also includes a method for the direct decomposition of hydrogen sulfide to hydrogen and sulfur.

  1. The effects of two-phase flow on streaming potentials

    E-Print Network [OSTI]

    Estrada, Cecilia

    1993-01-01T23:59:59.000Z

    of streaming potentials assessed. Only limited information concerning two- phase flow and streaming potentials is available (Morgan, 1990). Two-phase flow in porous media has been addressed in models of hydraulic flow (Sorey et aL, 1980; Yuan and Slattery... & Stubbs (Wp) and Bretherton (Wn) equations, 53 7. The experimental W values as determined from the experimental sneaming potential enhancement values. 54 8. Core samples for porous media assessment. . . . . 61 9. Cementation exponent, saturation...

  2. Secretary Moniz Warms Up For Earth Day Pitch | Department of...

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

    Warms Up For Earth Day Pitch Secretary Moniz Warms Up For Earth Day Pitch Addthis Speakers Secretary Ernest Moniz Duration :32...

  3. Supplement Analysis for the Watershed Management Program EIS - John Day Watershed Restoration Program

    SciTech Connect (OSTI)

    N /A

    2004-08-04T23:59:59.000Z

    The Bonneville Power Administration (BPA) is proposing to fund the John Day Watershed Restoration Program, which includes projects to improve watershed conditions, resulting in improved fish and wildlife habitat. The project was planned and coordinated by the Confederated Tribes of the Warm Springs through the John Day Basin Office in Prairie City, Oregon. A variety of activities will be implemented, described below. The project will involve the installation of four permanent lay flat diversions (structures) to replace temporary diversions. Two structures would be constructed in Beech Creek, one in Little Beech Creek and one in the John Day River. The structures will replace temporary pushup dams, which were constructed annually of various materials. Installation of the permanent diversion structures eliminates the stream-disturbing activities associated with annual installation of temporary structures. They also will enable fish passage in all flow conditions, an improvement over the temporary structures which can obstruct fish passage under some conditions. Five scour chains will be installed in six sites within the John Day River. The chains will be 3 feet long and consist of 1/4 inch chain. They will be buried within the streambed to monitor the movement of material in the streambed. Other activities that will be implemented include: Installation of off-site water systems in areas where fencing and revegetation projects are implemented, in order to restrict livestock access to waterways; construction of facilities to return irrigation flows to the Johns Day River, including the installation of pipe to replace failing drains or return ditches; installation of pumps to replace temporary diversions; and removal of junipers from approximately 500 acres per year by hand felling.

  4. Large-Scale Continuous Subgraph Queries on Streams

    SciTech Connect (OSTI)

    Choudhury, Sutanay; Holder, Larry; Chin, George; Feo, John T.

    2011-11-30T23:59:59.000Z

    Graph pattern matching involves finding exact or approximate matches for a query subgraph in a larger graph. It has been studied extensively and has strong applications in domains such as computer vision, computational biology, social networks, security and finance. The problem of exact graph pattern matching is often described in terms of subgraph isomorphism which is NP-complete. The exponential growth in streaming data from online social networks, news and video streams and the continual need for situational awareness motivates a solution for finding patterns in streaming updates. This is also the prime driver for the real-time analytics market. Development of incremental algorithms for graph pattern matching on streaming inputs to a continually evolving graph is a nascent area of research. Some of the challenges associated with this problem are the same as found in continuous query (CQ) evaluation on streaming databases. This paper reviews some of the representative work from the exhaustively researched field of CQ systems and identifies important semantics, constraints and architectural features that are also appropriate for HPC systems performing real-time graph analytics. For each of these features we present a brief discussion of the challenge encountered in the database realm, the approach to the solution and state their relevance in a high-performance, streaming graph processing framework.

  5. Scheduling and Optimizing Stream Programs on Multicore Machines by Exploiting High-Level

    E-Print Network [OSTI]

    (SDF) high-level abstraction of stream programs to design adaptive stream programs for energy reduction traffic on the interconnection fabric, such as networks on-chip. While SDF abstractions can help optimize stream programs on multicore machines, SDF is more suitable for describing stream data

  6. COMET 169P/NEAT(=2002 EX{sub 12}): THE PARENT BODY OF THE {alpha}-CAPRICORNID METEOROID STREAM

    SciTech Connect (OSTI)

    Kasuga, Toshihiro; Wiegert, Paul A. [Department of Physics and Astronomy, The University of Western Ontario, 1151 Richmond Street London, ON N6A 3K7 (Canada); Balam, David D., E-mail: tkasuga@uwo.c [Dominion Astrophysical Observatory, Herzberg Institute of Astrophysics, National Research Council Canada, Government of Canada, 5071 West Saanich Road, Victoria, BC (Canada)

    2010-12-15T23:59:59.000Z

    The Jupiter-family comet 169P/NEAT (previously known as asteroid 2002 EX{sub 12}) has a dynamical association with the {alpha}-Capricornid meteoroid stream. In this paper, we present photometric observations of comet 169P/NEAT to further investigate the physical characters of its disintegration state related to the stream. The comet shows a point-like surface brightness profile limiting contamination due to coma emission to {approx}4% at most, indicating no evidence of outgassing. An upper limit on the fraction of the surface that could be sublimating water ice of <10{sup -4} is obtained with an upper limit to the mass loss of {approx}10{sup -2} kg s{sup -1}. The effective radius of nucleus is found to be 2.3 {+-} 0.4 km. Red filter photometry yields a rotational period of 8.4096 {+-} 0.0012 hr, and the range of the amplitude 0.29 {+-} 0.02 mag is indicative of a moderately spherical shape having a projected axis ratio {approx}1.3. The comet shows redder colors than the Sun, being compatible with other dead comet candidates. The calculated lost mass per revolution is {approx}10{sup 9} kg. If it has sustained this mass loss over the estimated 5000 yr age of the {alpha}-Capricornid meteoroid stream, the total mass loss from 169P/NEAT ({approx}10{sup 13} kg) is consistent with the reported stream mass ({approx}10{sup 13}-10{sup 15} kg), suggesting that the stream is the product of steady disintegration of the parent at every return.

  7. Total System Performance Assessment Peer Review Panel

    Broader source: Energy.gov [DOE]

    Total System Performance Assessment (TSPA) Peer Review Panel for predicting the performance of a repository at Yucca Mountain.

  8. Activity stream | OpenEI Community

    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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORT Americium/Curium Vitrification4th DayANVAblampAWEPL

  9. 8, 31433162, 2008 Total ozone over

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 8, 3143­3162, 2008 Total ozone over oceanic regions M. C. R. Kalapureddy et al. Title Page Chemistry and Physics Discussions Total column ozone variations over oceanic region around Indian sub­3162, 2008 Total ozone over oceanic regions M. C. R. Kalapureddy et al. Title Page Abstract Introduction

  10. 5, 1133111375, 2005 NH total ozone

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 5, 11331­11375, 2005 NH total ozone increase S. Dhomse et al. Title Page Abstract Introduction On the possible causes of recent increases in NH total ozone from a statistical analysis of satellite data from License. 11331 #12;ACPD 5, 11331­11375, 2005 NH total ozone increase S. Dhomse et al. Title Page Abstract

  11. 6, 39133943, 2006 Svalbard total ozone

    E-Print Network [OSTI]

    Boyer, Edmond

    ACPD 6, 3913­3943, 2006 Svalbard total ozone C. Vogler et al. Title Page Abstract Introduction Discussions Re-evaluation of the 1950­1962 total ozone record from Longyearbyen, Svalbard C. Vogler 1 , S. Br total ozone C. Vogler et al. Title Page Abstract Introduction Conclusions References Tables Figures Back

  12. About Total Lubricants USA, Inc. Headquartered in Linden, New Jersey, Total Lubricants USA provides

    E-Print Network [OSTI]

    Fisher, Kathleen

    New Jersey, Total Lubricants USA provides advanced quality industrial lubrication productsAbout Total Lubricants USA, Inc. Headquartered in Linden, New Jersey, Total Lubricants USA provides. A subsidiary of Total, S.A., the world's fourth largest oil company, Total Lubricants USA still fosters its

  13. Generalized computer-assisted operations; A comprehensive system for day-to-day oilfield operations

    SciTech Connect (OSTI)

    Dunham, C.L.; Anderson, S.R. (Shell Oil Co. (US))

    1991-03-01T23:59:59.000Z

    This paper reports that Shell Oil Co. and a U.S. subsidiary, Shell Western E and P Inc., developed a comprehensive, generalized, computer-assisted-operations (CAO) system for day-to-day oilfield operations. The system addresses many of the daily operating needs of data acquisition, well and facility monitoring and control, problem detection and diagnosis, design and/or redesign of artificial-lift systems, and oilfield data management. It is generalized in that one system, with common computer hardware, software, and techniques, serves several different oil fields with diverse operating requirements and conditions.

  14. Integral Fluxes, Day-Night, and Spectrum Results from SNO's 391-Day Salt Phase

    E-Print Network [OSTI]

    Juergen Wendland; for the SNO collaboration

    2005-07-12T23:59:59.000Z

    The Sudbury Neutrino Observatory is a 1000t heavy water Cherenkov detector observing neutrinos from the Sun and other astrophysical sources. Measurements of the integral solar neutrino fluxes of charged current, neutral current and elastic scattering events are reported for 391 days of live data from the salt phase of SNO operation. In this phase 2t of salt were dissolved in the heavy water, which enhanced and differentiated the detection of neutral current events. Day-night asymmetries in these fluxes were also determined. The measured electron spectrum from the charged-current channel is compatible with the undistorted spectrum of the solar 8B neutrino flux.

  15. Red River Stream Improvement Final Design Nez Perce National Forest.

    SciTech Connect (OSTI)

    Watershed Consulting, LLC

    2007-03-15T23:59:59.000Z

    This report details the final stream improvement design along the reach of Red River between the bridge below Dawson Creek, upstream for approximately 2 miles, Idaho County, Idaho. Geomorphic mapping, hydrologic profiles and cross-sections were presented along with existing fish habitat maps in the conceptual design report. This information is used to develop a stream improvement design intended to improve aquatic habitat and restore riparian health in the reach. The area was placer mined using large bucket dredges between 1938 and 1957. This activity removed most of the riparian vegetation in the stream corridor and obliterated the channel bed and banks. The reach was also cut-off from most valley margin tributaries. In the 50 years since large-scale dredging ceased, the channel has been re-established and parts of the riparian zone have grown in. However, the recruitment of large woody debris to the stream has been extremely low and overhead cover is poor. Pool habitat makes up more than 37% of the reach, and habitat diversity is much better than the project reach on Crooked River. There is little large woody debris in the stream to provide cover for spawning and juvenile rearing, because the majority of the woody debris does not span a significant part of the channel, but is mainly on the side slopes of the stream. Most of the riparian zone has very little soil or subsoil left after the mining and so now consists primarily of unconsolidated cobble tailings or heavily compacted gravel tailings. Knapweed and lodgepole pine are the most successful colonizers of these post mining landforms. Tributary fans which add complexity to many other streams in the region, have been isolated from the main reach due to placer mining and road building.

  16. SQA on five dollars a day

    SciTech Connect (OSTI)

    Not Available

    1994-09-01T23:59:59.000Z

    This report discusses the following topics: Software safety and reliability issues in safety-related systems; software use control assessment; Testing: Beyond theory; Software process improvement: Formalized unit testing; Software defect analysis for a nuclear weapons application; Function point analysis for estimation of software development schedules; SEI maturity in the Work for Other Program; SSEC SEI experiences; Planning for a Software Engineering Institute (SEI) assessment; Software process improvement, metrics; Software engineering technology plank: Building quality in; Software quality assurance at Y-12; Total quality and SQA at the Kansas City plant; The Software Technology Center at Lawrence Livermore National Laboratory: Software engineering technology transfer in a scientific R&D laboratory; and Institutionalizing the information engineering environment: A practitioner`s perspective.

  17. Method for treating a nuclear process off-gas stream

    DOE Patents [OSTI]

    Pence, Dallas T. (San Diego, CA); Chou, Chun-Chao (San Diego, CA)

    1984-01-01T23:59:59.000Z

    Disclosed is a method for selectively removing and recovering the noble gas and other gaseous components typically emitted during nuclear process operations. The method is adaptable and useful for treating dissolver off-gas effluents released during reprocessing of spent nuclear fuels whereby to permit radioactive contaminant recovery prior to releasing the remaining off-gases to the atmosphere. Briefly, the method sequentially comprises treating the off-gas stream to preliminarily remove NO.sub.x, hydrogen and carbon-containing organic compounds, and semivolatile fission product metal oxide components therefrom; adsorbing iodine components on silver-exchanged mordenite; removing water vapor carried by said stream by means of a molecular sieve; selectively removing the carbon dioxide components of said off-gas stream by means of a molecular sieve; selectively removing xenon in gas phase by passing said stream through a molecular sieve comprising silver-exchanged mordenite; selectively separating krypton from oxygen by means of a molecular sieve comprising silver-exchanged mordenite; selectively separating krypton from the bulk nitrogen stream using a molecular sieve comprising silver-exchanged mordenite cooled to about -140.degree. to -160.degree. C.; concentrating the desorbed krypton upon a molecular sieve comprising silver-exchange mordenite cooled to about -140.degree. to -160.degree. C.; and further cryogenically concentrating, and the recovering for storage, the desorbed krypton.

  18. GPU-ABiSort: Optimal parallel sorting on stream architectures

    E-Print Network [OSTI]

    Alexander Greß; Gabriel Zachmann

    2006-01-01T23:59:59.000Z

    In this paper, we present a novel approach for parallel sorting on stream processing architectures. It is based on adaptive bitonic sorting. For sorting n values utilizing p stream processor units, this approach achieves the optimal time complexity O((n log n)/p). While this makes our approach competitive with common sequential sorting algorithms not only from a theoretical viewpoint, it is also very fast from a practical viewpoint. This is achieved by using efficient linear stream memory accesses and by combining the optimal time approach with algorithms optimized for small input sequences. We present an implementation on modern programmable graphics hardware (GPUs). On recent GPUs, our optimal parallel sorting approach has shown to be remarkably faster than sequential sorting on the CPU, and it is also faster than previous non-optimal sorting approaches on the GPU for sufficiently large input sequences. Because of the excellent scalability of our algorithm with the number of stream processor units p (up to n / log 2 n or even n / log n units, depending on the stream architecture), our approach profits heavily from the trend of increasing number of fragment processor units on GPUs, so that we can expect further speed improvement with upcoming GPU generations.

  19. Methods of natural gas liquefaction and natural gas liquefaction plants utilizing multiple and varying gas streams

    DOE Patents [OSTI]

    Wilding, Bruce M; Turner, Terry D

    2014-12-02T23:59:59.000Z

    A method of natural gas liquefaction may include cooling a gaseous NG process stream to form a liquid NG process stream. The method may further include directing the first tail gas stream out of a plant at a first pressure and directing a second tail gas stream out of the plant at a second pressure. An additional method of natural gas liquefaction may include separating CO.sub.2 from a liquid NG process stream and processing the CO.sub.2 to provide a CO.sub.2 product stream. Another method of natural gas liquefaction may include combining a marginal gaseous NG process stream with a secondary substantially pure NG stream to provide an improved gaseous NG process stream. Additionally, a NG liquefaction plant may include a first tail gas outlet, and at least a second tail gas outlet, the at least a second tail gas outlet separate from the first tail gas outlet.

  20. Empirical Estimates and Observations of 0Day Vulnerabilities

    SciTech Connect (OSTI)

    Miles A. McQueen; Trevor A. McQueen; Wayne F. Boyer; May R. Chaffin

    2009-01-01T23:59:59.000Z

    We define a 0Day vulnerability to be any vulnerability, in deployed software, that has been discovered by at least one person but has not yet been publicly announced or patched. These 0Day vulnerabilities are of particular interest when assessing the risk to a system from exploit of vulnerabilities which are not generally known to the public or, most importantly, to the owners of the system. Using the 0Day definition given above, we analyzed the 0Day lifespans of 491 vulnerabilities and conservatively estimated that in the worst year there were on average 2500 0Day vulnerabilities in existence on any given day. Then using a small but intriguing set of 15 0Day vulnerability lifespans representing the time from actual discovery to public disclosure, we made a more aggressive estimate. In this case, we estimated that in the worst year there were, on average, 4500 0Day vulnerabilities in existence on any given day.