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


1

Chlorine activation indoors and outdoors via surface-mediated reactions of nitrogen oxides with hydrogen chloride.  

E-Print Network [OSTI]

garbage burning (7), incineration of municipal and medicalindustrial settings, incineration fa- cilities (5), biomass

2009-01-01T23:59:59.000Z

2

Guide to the BUREAU OF COMMERCIAL FISHERIES  

E-Print Network [OSTI]

, houses a processing laboratory and pilot plant, freezing and cold storage fa cilities, fishery inspection

3

Climate Change, the Clean Air Act, and Industrial Pollution  

E-Print Network [OSTI]

fa- cilities and alternative energy sources, notwithstandinggas rather than alternative energy or efficiency. See Trippfits of a shift to alternative energy or reduced consumer

Kaswan, Alice

2012-01-01T23:59:59.000Z

4

FA Technology Ventures | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address:011-DNA Jump37. It isInformationexplains a4Evendale,Open EnergyTectonics JumpExusFA

5

Nuclear Engineering Catalog 2014 Fall Math 141 or 147 (4) FA, SP, SU English 101 or 118 (3) FA, SP, SU Chem 120 or 128 (4) FA, SP, SU EF 151 or 157 (4) FA, SP EF 105 (1) FA, SP  

E-Print Network [OSTI]

Nuclear Engineering Catalog 2014 Fall Math 141 or 147 (4) FA, SP, SU English 101 or 118 (3) FA, SP-approved by the department advisor. Courses in Nuclear Engineering other than 500, 502 and 598 may also be used as technical average of at least 2.0 in all nuclear engineering courses taken at the Unversity of Tennessee, Knoxville

Grissino-Mayer, Henri D.

6

UNM engineering fa l l 2 0 0 6  

E-Print Network [OSTI]

our alumni, students, prospective students, and friends of engineering. Please go to our web site, wwwUNM engineering fa l l 2 0 0 6 T h e U N i v e r s i T y o f N e w M e x i c o s c h o o l o f e N;innovation for life Educating engineering and computer science students to find and produce creative

New Mexico, University of

7

Solar Flare Measurements with STIX and MiSolFA  

E-Print Network [OSTI]

Solar flares are the most powerful events in the solar system and the brightest sources of X-rays, often associated with emission of particles reaching the Earth and causing geomagnetic storms, giving problems to communication, airplanes and even black-outs. X-rays emitted by accelerated electrons are the most direct probe of solar flare phenomena. The Micro Solar-Flare Apparatus (MiSolFA) is a proposed compact X-ray detector which will address the two biggest issues in solar flare modeling. Dynamic range limitations prevent simultaneous spectroscopy with a single instrument of all X-ray emitting regions of a flare. In addition, most X-ray observations so far are inconsistent with the high anisotropy predicted by the models usually adopted for solar flares. Operated at the same time as the STIX instrument of the ESA Solar Orbiter mission, at the next solar maximum (2020), they will have the unique opportunity to look at the same flare from two different directions: Solar Orbiter gets very close to the Sun wit...

Casadei, Diego

2014-01-01T23:59:59.000Z

8

FA-UDS-VTIF 9/2012 University of Florida Vendor Tax Information Form  

E-Print Network [OSTI]

FA-UDS-VTIF 9/2012 University of Florida ­ Vendor Tax Information Form Use this form ONLY if you - Tax Status: Individual ­ If the vendor is a current UF employee, provide UFID, current job title

Roy, Subrata

9

E-Print Network 3.0 - ast fa ck-total Sample Search Results  

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

taken in each of the designations: Fine Arts (FA), Historical Studies (HS... 1103, (PHY 132 or PHY 152) PHY 1104 * Voyages Through the Cosmos: (AST 151 + A) AST 1001... ,...

10

PURDUE EXTENSION FA C T S F O R Fancy Fruit  

E-Print Network [OSTI]

PURDUE EXTENSION FA C T S F O R Fancy Fruit October 26, 2011 Volume 11 · Issue 11 In This Issue Crop conditions . . . . . . . . . . . . . 1 Tree fruit harvest 2011 Specialty crop innovations: Over a century of progress in tree fruit . . . . 6 Congress looking

Pittendrigh, Barry

11

Data:6cee25fa-80a5-434f-a15e-611da439602d | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3f49fa2694 No9fb1785f5 No revision has beene-611da439602d No

12

Data:75a4f1dd-c57e-4095-b7fa-0eb5c4bf15fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has6a0216321b No revision has6dcc3af95b5a09e36f No revision hasfa-0eb5c4bf15fa No revision

13

Data:1fa8bc80-2710-41d8-b5f0-afc8fa84e793 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No529a57c00c0 No revision has75f38de27d No revision has beenafc8fa84e793

14

Data:C1b989d7-8914-487f-a66e-01756977fa8c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2bb71-d4159a938742 No revision has beena032db6d83 No revision has been56977fa8c No revision has been

15

Data:156aa992-fa4d-4637-8e72-0bc79931e0fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision has beenba5b1d371 No revision78ced93e0 No52cae72-0bc79931e0fa No revision has been

16

Data:Fb4e97fa-6eca-42de-a38f-01fc44fa31f9 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for thisd785796ade4709e636e4428 No revision has beenfc44fa31f9 No revision has been

17

The Canadian Mineralogist Vol. 41, pp. 239-250 (2003)  

E-Print Network [OSTI]

Radiation Facility, truly one of the most significant scientific fa- cilities ever created in Canada. Visits and Material Science Applications"), provided a behind-the-scenes look at the facility, which was nearing Committee. Four new MAC publica- tions will be available in the coming year. The Atlas of Non

Downs, Robert T.

18

Secure Systems Editors: Patrick McDaniel, mcdaniel@cse.psu.edu  

E-Print Network [OSTI]

-reporting device at each customer site is called the smart meter. It's a computerized re- placement of the electrical meter attached to the exterior of many of our homes today. Each smart me- ter contains a processor, nonvolatile storage, and communication fa- cilities. Although in many respects, the smart meter's look

McDaniel, Patrick Drew

19

Nordisk kernesikkerhedsforskning Norrnar kjarnryggisrannsknir  

E-Print Network [OSTI]

-up and then by heat conduction from the hot dry well compartment via the intermediate floor and test vessel walls ydinturvallisuustutkimus Nordisk kjernesikkerhetsforskning Nordisk kärnsäkerhetsforskning Nordic nuclear safety research The results of the thermal stratification experiments in 2008 with the PPOOLEX test fa- cility are presented

20

A Critical Review of the State-of-the-Art in the Performance of Applied-field Magnetoplasmadynamic  

E-Print Network [OSTI]

(50-69% thrust efficiency and specific impulses in the 4000-5500 s range) was obtained at 20 k was found, to operate in this power range. High fa- cility background pressures (above 0.1-1.0 m by using condensable vapor propellants (mainly Graduate Student, MAE Dept., NASA Graduate Student Research

Choueiri, Edgar

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


21

FA C T S H E E T Inhalation Toxicology Laboratory, New Mexico, Site  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou$ EGcG ENERGY MEASUREMENTS;/:4,4 (; .369s . c F27FA C

22

Data:88278181-5480-404d-8517-770fa69af339 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revisione0a2d50bdf No revisionb27d098eef61148ac7 No revision has been-404d-8517-770fa69af339 No

23

Miscibility, solubility, viscosity, and density measurements for R-236fa with potential lubricants. Final report  

SciTech Connect (OSTI)

The report gives results of miscibility, solubility, viscosity, and density measurements for refrigerant R-236fa and two potential lubricants. (The data are needed to determine the suitability of refrigerant/lubricant combinations for use in refrigeration systems.) The tested oils were pentaerythritol ester mixed-acid (ISO68), hereafter SW-68 manufactured by Castrol, and polyol ester mixed-acid (ISO46), hereafter Arctic-46 manufactured by Mobil. Miscibility was measured in a series of miniature test cells submerged in a constant temperature bath, precisely controlled over a temperature range of -50 to 90 C. Solubility, viscosity, and density data were also obtained for R-236fa mixed with the two oils for a refrigerant concentration of 0 to 40 wt % refrigerant over a temperature range of 30 to 100 C. This research shows that: (1) solubility, viscosity, and density are functions of temperature and concentration, (2) solubility increases with increasing temperature and refrigerant concentration (i.e., mass fraction of refrigerant). (3) viscosity decreases with increasing temperature and refrigerant concentration, and (4) density decreases with increasing temperature but increases with increasing refrigerant concentration. R-114 and naphthenic mineral oil were also tested.

Kang, H.M.; Pate, M.B.

1999-02-01T23:59:59.000Z

24

Melter feed tank operating map from the FA-10.02 test data  

SciTech Connect (OSTI)

The operability of the Melter Feed Tank (MFT) feed loops has been tested during the DWPF-FA-10.02 test. The ability to feed the melter at three distinct melter feed rates (0.20, 0.45, and 0.90 gpm), two distinct agitator speeds (65 and 130 rpm), varying liquid levels, and varying slurry rheologies was tested. This report correlates the operability of the feed loops with the above mentioned variables. The data are presented in the form of operating maps, Figs. 1 through 4, which are plots of the liquid level versus the wt% total solids (and yield stress) for two agitator speeds. The maps are divided into regions of acceptable feed loop operation and unacceptable feed loop operation. This report does not consider how closely the compositions of the MFT, the melter feed lines, and the Hydragard samples agree. The significant observations in this report are as follows: Both feed loops satisfy the operability criteria down to a liquid level below the upper impeller blade at low speed agitation (65 rpm). Under high speed agitation (130 rpm), feed loop No. 2 operates much more poorly than feed loop No. 1. The uncertainty associated with the wt% total solids of a slurry sample is larger than the current design basis range for total solids. The dilution of slurry due to pump priming is shown graphically in the chronological presentation of wt% total solids.

Spatz, T.L.

1994-08-01T23:59:59.000Z

25

ReVistaReVistaharvard review of Latin america faLL 2007 david rockefeller center for latin american studies, Harvard university  

E-Print Network [OSTI]

history collections for Hispaniola and the Carib- bean, and he expressed great enthusiasm for including a national treasure in Hispaniola B y B r i a n d . Fa r r E L L making a difference priceless insect

Farrell, Brian D.

26

Speaker: Prof. Fa-Hsuan Lin (Institute of Biomedical Engineering, NTU) Dr. Yi-Cheng Hsu (Institute of Biomedical Engineering, NTU)  

E-Print Network [OSTI]

Speaker: Prof. Fa-Hsuan Lin (Institute of Biomedical Engineering, NTU) Dr. Yi-Cheng Hsu (Institute of Biomedical Engineering, NTU) Title: Magnetic resonance imaging of the human brain: progress, challenges

Wu, Yih-Min

27

Data:Fa6165cb-1834-419b-8ca6-cea35bec0bdb | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for thisd785796ade47 No revision has122ca32529Fa6165cb-1834-419b-8ca6-cea35bec0bdb No

28

Data:Fa619227-efcf-4068-a9d2-5dbb5f730241 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for thisd785796ade47 No revision has122ca32529Fa6165cb-1834-419b-8ca6-cea35bec0bdb

29

Data:693d564e-8b47-4cab-9317-02081477c0fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3 Nob05268d8cd No revision has been approvede27f07-02081477c0fa No

30

Data:6d2834fa-2eb5-4683-acb6-66347c570421 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3f49fa2694 No9fb1785f59e2d98199c No

31

Data:1d2012db-460c-406a-9dd1-ac121fa0965c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No revision has been-9b29bec4d26e No revision has been1fa0965c No revision

32

Data:01307ebf-18f3-470b-bf39-ca3949fa6532 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentratingRenewable Solutions LLC JumpCrow Lake7ba5898d4 No revision has94175e8bf39-ca3949fa6532

33

Data:4f616400-2033-42fd-8d67-fa97ad7be633 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 Noecd-9c04-2d9a8c2fc998 No revision has beendf169c5bc61f

34

Data:4f915395-7860-4b96-9669-b39b89463fa3 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 Noecd-9c04-2d9a8c2fc998 No revision hasdc-3343b7f732a6 No5038c75ba

35

Data:511145e2-cefd-479f-a412-07ceddc7d00d | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf74865627f783 No revision has been approvedfb74c7ce2edbacc8

36

Data:Ac8e6642-9853-4226-92a7-fdbc5649fa81 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has been approved for this page. It is currently under286f20b693b2fdbc5649fa81 No revision

37

Data:92948548-49bb-4e1f-8c25-27cbbda752fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revisione0a2d50bdf35248292f1 No revision hascbfc79d6989 No revision has been approved for7cbbda752fa

38

Data:4cdab395-3a1d-462f-a4e6-5718380fd9e8 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 No revision has been approvedcdab395-3a1d-462f-a4e6-5718380fd9e8 No

39

Data:4d301b47-84ca-4da9-ae45-fa90d5aabad0 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 No revision has beenb745-9ab1009e8428 No5-fa90d5aabad0 No revision has

40

Data:4d3bd4b6-2e29-4486-a3da-309fa8332a19 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 No revision has beenb745-9ab1009e8428 No5-fa90d5aabad0 Nofa8332a19 No

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


41

Data:51e77a02-b218-4d9a-aad3-ec22188355fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf74865627f783 Noaad3-ec22188355fa No revision has been approved for this

42

Data:5208a915-97c1-4557-87ef-6fa2151f4d24 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf74865627f783 Noaad3-ec22188355fa No revisionc173db41 No revision has

43

Data:5283068a-53c4-45fa-a635-a4fb9a523fbd | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf74865627f783 Noaad3-ec22188355fa No341c9c4152dd958 No6d1644d544 No

44

Data:201903e8-d259-4253-b629-cc547fa159fd | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No529a57c00c0 No revision9f51-3428f5d69a69 No revision2433e0a No47fa159fd

45

Data:24856027-dca6-412c-ab18-719705f8fa2f | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d4-4797-b850-d42be48a30cf Nob718c0408b6 Nof1fdfcdca6-412c-ab18-719705f8fa2f

46

Data:5a918028-8566-4922-9e51-a836fa994eb6 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6dbb-9d4f0845d437 No revisionaebc-49d88d7c0940e693e66c65b36fa994eb6 No

47

S:\\Registration & Records\\Term Communications\\2013 Fall\\FA 13 NEW GR Registration.docx page 1 of 2 JOHNS HOPKINS UNIVERSITY  

E-Print Network [OSTI]

. Select the academic period (Fall 2013), enter the course number, and then click Search 6. To choose yourS:\\Registration & Records\\Term Communications\\2013 Fall\\FA 13 NEW GR Registration.docx page 1 of 2 your JHED ID, go to my.jhu.edu and search under "People" (upper right hand side). Type in your name

Weaver, Harold A. "Hal"

48

S:\\Registration & Records\\Term Communications\\2014 Fall\\UG FA 14 WEB Registration.docx 1 of 2 JOHNS HOPKINS UNIVERSITY  

E-Print Network [OSTI]

S:\\Registration & Records\\Term Communications\\2014 Fall\\UG FA 14 WEB Registration.docx 1 of 2. To add courses to My Cart: 1. Go to isis.jhu.edu 2. Sign in with your JHED ID and enter your password 3. Under Registration, select Search for Classes 4. Select Fall 2014 from the dropdown 5. After

Weaver, Harold A. "Hal"

49

Andromeda: A mission to determine the gamma-ray burst distance scale F.A. Harrison, W.R. Cook, T.A. Prince, S.M. Schindler  

E-Print Network [OSTI]

Andromeda: A mission to determine the gamma-ray burst distance scale F.A. Harrison, W.R. Cook, T was submitted to the STEDI program, and will also be proposed as a NASA Small Explorer. Keywords: bursts, gamma-rays, small missions 1 SCIENTIFIC OBJECTIVES 1.1 Gamma-ray Bursts Gamma-ray bursts GRBs were discovered

Prince, Thomas A.

50

Data:Efcc6fef-a1a2-48fa-97fb-77024e4bb2b5 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1ccEeae2669-ec94-4cc4-bbae-0108084310ccEfcc6fef-a1a2-48fa-97fb-77024e4bb2b5 No revision has been

51

Data:F2ff7965-aaec-41fa-b591-df076d7096a8 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for this page. It ise7c5ddfdbf9 No revisionaaec-41fa-b591-df076d7096a8 No revision has

52

Data:F43d9666-43d7-44a8-b8fa-340d28bea542 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for this page. It6d-bcfb5222116e No revision has been approveda8-b8fa-340d28bea542 No

53

Data:F4fa5ea9-9266-41d0-8275-67c548742f24 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for this page. It6d-bcfb5222116e Noe0e2fa091ee4 No-ac94-299f9c7dae4e No

54

Data:F5c45ead-b438-4f84-b22b-c4fa49eacd83 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for this page. It6d-bcfb5222116ea91d395f7fdf Noc4fa49eacd83 No revision has been

55

Data:Fab7f83b-9bf4-4c08-ba0c-25f779fa2be4 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for thisd785796ade47 No revisionc-f4d242f648c4f779fa2be4 No revision has been approved

56

Data:Fad96bd0-7a22-47ae-8278-0199f6fbb2fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for thisd785796ade47 No revisionc-f4d242f648c4f779fa2be4 No revision

57

Data:11882c23-a423-4a3a-8cf0-0fa56b34c939 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address:011-DNA Jump to: navigation, searchIllinois:d-9ba5-16de8191e0708cf0-0fa56b34c939 No

58

Data:660cea50-00d2-4501-8af5-541a79a6b8fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approved fore6e8eee4495-afb210887c9bf3ac6ed3cc6 No14b8a2d55a428af5-541a79a6b8fa No

59

Data:6bb1ae8d-5a9f-4d16-b339-362f49fa2694 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3f49fa2694 No revision has been approved for this page. It is

60

Data:6c3087fa-d5b5-410e-aa78-aeb0068e75a4 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3f49fa2694 No revision hasd4ce025baf7cca468da67a7e

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


61

Data:6c9154e6-8f25-4817-a8d4-02fa13538961 | Open Energy Information  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3f49fa2694 No revisionde75932dabfd No revisionfa13538961 No

62

Data:6cf8fa34-a20b-40f2-b605-d556ff0c2d7f | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3f49fa2694 No9fb1785f5 No revision has

63

Data:6d18936a-71a4-49a4-8bf0-b795fa495d18 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3f49fa2694 No9fb1785f59e2d98199c No revision has been approved

64

Data:6d4c1e94-b547-4d9f-ae59-ab5fcf8fa593 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3f49fa2694 No9fb1785f59e2d98199c92ffd2a366 Nof3e928f7d

65

Data:6dbb1e0c-4fa8-40a7-bda5-d3ebcee304ff | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3f49fa2694613-b89b-a700bd7943d5 Nof-52a19389efcf No revision

66

Data:73d34bb4-9b67-4ede-89da-e7fa254991fb | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has6a0216321b No revision has beenb9c6b19f89f3 Nodc3393561 Noe7fa254991fb No revision has

67

Data:76b1f36b-9629-4a38-b5e7-6fa1dc308ed7 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has6a0216321b No revision8390-f3c1d17c852d No revision has been approved6fa1dc308ed7 No

68

Data:77f0ab6b-f798-457c-8bda-807fa4e0455f | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has6a0216321b No revision8390-f3c1d17c852df4287f69e308 No revision2d11a219d8807fa4e0455f No

69

Data:1bc22f5e-5822-45da-99e1-5fa76b04164c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No revision has been approved for this page. It isd06af0f0c4d4fa76b04164c

70

Data:1cae63f5-260c-446f-bb99-fce8d2fa6558 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No revision has been approved6da7b9317 Nofce8d2fa6558 No revision has been

71

Data:1cb189b3-2981-4d73-8c11-502fa60c110d | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No revision has been approved6da7b9317 Nofce8d2fa6558 No revision has

72

Data:1d3547ba-4503-4f62-b38e-44d5c4fa0281 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No revision has been-9b29bec4d26e No revision hasd5c4fa0281 No revision

73

Data:1e7fc7de-a0bc-40bd-8ca8-38fa47d46769 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No revisionb-80ce915ef62f No revision38fa47d46769 No revision has been

74

Data:1e9fe898-a250-4c5f-a9a8-2ee026307e34 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No revisionb-80ce915ef62f No revision38fa47d46769 Nof41ac67672f2

75

Data:1ef2541e-0df2-4038-a02f-68480fa58ac2 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d No revisionb-80ce915ef62fb-4edd2b934768 No8480fa58ac2 No revision has been

76

Data:2c6d0025-5bbe-4b0b-8ee3-b46fa5822279 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No revision hase-119dde1f65f8d0bed8c2636 No revision82e4322ef69b-b46fa5822279 No

77

Data:2d10ce01-f6c0-4592-ba5d-e3fa53d51342 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No revisionbeb-403f-b787-2700a3b20e2e No revision has beenaf864bb1c Nod-e3fa53d51342

78

Data:2d33d95b-9212-4743-bd8d-7b2e3fa4d43b | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No revisionbeb-403f-b787-2700a3b20e2e No revisione2-29f1a699572c No revisione3fa4d43b

79

Data:B0572fcf-7387-448c-b026-9af74fa257cc | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has38865d08 No revision has been approved for this page.af74fa257cc No revision has been

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Data:B709ec72-6fc8-48b4-9fa5-447419e81cd5 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has38865d08 No revisionb6dbbdc091c4061e2fe19b No revision hasfc8-48b4-9fa5-447419e81cd5 No

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


81

Data:Babd83fa-1e5b-43b4-a247-91d02461b406 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has38865d08d442d74d244 No revision hasBabd83fa-1e5b-43b4-a247-91d02461b406 No revision has

82

Data:Be5fe887-2e8e-4549-8213-0a9cf2df8fa8 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 NoBcfd1c1f-01b6-4a11-8667-d236d8565086 Nobdddf01a916d No revision has beenb75a54a8ea9cf2df8fa8 No

83

Data:C1ed205a-c45a-4a8d-827d-842fa6ef9b58 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2bb71-d4159a938742 No revision has beena032db6d83 No revision has842fa6ef9b58 No revision has been

84

Data:559a7827-73cf-4e5a-be1b-93726239c9fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6 No revisionc8de9b501c3 No revision has been approved6239c9fa No revision

85

Data:5df914dc-748a-4757-980d-c7fa8bd9d9fe | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approved for this page. It1f847bdc66d-c7fa8bd9d9fe No revision has been approved

86

Data:5f347c14-5ab9-40f3-9996-451bf6528fa7 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approved for this page.f9b87a5 No revisionac4274ad69b9 No-451bf6528fa7 No revision

87

Data:648e8205-8ecb-45d1-bf65-fa4befa151f6 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approved fore6e8eee44 Nobfa2-747e1ee9f93d Nob5-17048b94d111 No5-fa4befa151f6 No

88

Data:43d0be85-309e-4b94-84c3-fa495c01b9ac | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b No revision hasaab84-009f-4fb1-b666-ed5d43c9089f Noc3-fa495c01b9ac No revision has been

89

Data:4bd4e625-5f2f-4291-a8a4-bfef8fa58cf7 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 No revision has been approved for this page. It is currently under review

90

Data:4c24d43d-8222-4ef0-880f-a90c537e1e03 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 No revision has been approved for

91

Data:4cf0585f-6893-4fa1-bd4e-c589c1e5e928 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 No revision has beenb745-9ab1009e8428 No revision has been

92

Data:4d0aa00a-63fa-4df3-b0a4-a04c67c239ce | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 No revision has beenb745-9ab1009e8428 No revision

93

Data:4d7a75f4-30ae-4161-b804-172013fa5c22 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 No revision has beenb745-9ab1009e842882db6a9 Noa086-6d5a59e1dc27

94

Data:4ee48fa9-dcae-496b-b213-b3bb96a480ea | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 No revisionf377c06978a3bcce-0d410894aead

95

Data:4f30dadc-35dd-4e7f-a7b6-b1bba01e2e9e | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 Noecd-9c04-2d9a8c2fc998 No revision has been approved for

96

Data:4f3fa249-efe0-4792-8dda-0a3d9cedfe11 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 Noecd-9c04-2d9a8c2fc998 No revision has been approved

97

Data:4fa17b06-5a97-4dc4-891b-545950a71ded | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 Noecd-9c04-2d9a8c2fc998 No revision hasdc-3343b7f732a6e5fe802 No

98

Data:4fa49e45-f0f3-4bb4-8987-1a707fe64b51 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 Noecd-9c04-2d9a8c2fc998 No revision hasdc-3343b7f732a6e5fe802

99

Data:5008fa95-88d8-4e74-8c2c-50b382d760c3 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 Noecd-9c04-2d9a8c2fc998aa0-9c1e87e57c40 No revision has been

100

Data:512a888f-a9fb-44af-b08a-5274d7222162 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf74865627f783 No revision has beendde467d0f938 No revision hasa-5274d7222162

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


101

Data:512efafe-7ac3-43f3-9da6-fa8401d6d547 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf74865627f783 No revision has beendde467d0f938

102

Data:5159a7fa-196a-451b-a200-685a1f0cd507 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf74865627f783 No revision hasa9-0dccf016a7a7 Noa1f0cd507 No revision has

103

Data:52a71213-a5fa-4a0c-9936-326c8a4dee36 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf74865627f783 Noaad3-ec22188355fac30654210ad7 No revisionfc-93c66153cd44

104

Data:105af332-46b2-46b4-82b3-bd4810b377fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision has been approved for720c8ec90dba No revision hasfbb555156 No revision10b377fa No

105

Data:13e80fd0-be55-4bac-a394-1cb4826fa0ef | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision has beenba5b1d371 No revision hasbf8fc65b25 No revision has been approved1cb4826fa0ef

106

Data:1722db6d-be94-4a17-8e4c-5b1fa89b5548 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision has beenba5b1d371 Nob97eb4d202d0 No8827bff3a72b1fa89b5548 No revision has been

107

Data:1afb5fd5-7e14-4554-ba01-e9702f5c39fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision hasfcd92f-8652-45c0-96f0-a73be7466ef5 No0-41e34138aa766275858d5a8e9702f5c39fa No

108

Data:1b491431-6ebe-4f6c-a2fc-38b5ac0fa42c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision hasfcd92f-8652-45c0-96f0-a73be7466ef5efeb2958a4e3 No215358dad1236dcfe12b5ac0fa42c No

109

Data:9fe0c720-7e45-41f6-a7ed-2cbec994fa2c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 Nod2db5b31cb44 No revision hasdb5-b05c-76b1be5a4007 No revision1a933fd4da-9b8b3f22c3f0cbec994fa2c No

110

Data:A80ba0e8-b525-4a99-a343-dabbdb0c18fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 Nod2db5b31cb44f-4cd6-87d8-e9253aab8d9c No revision hasf32924 Noda8782cb0511019473073a719f9ddabbdb0c18fa

111

Data:95957a4b-7e2b-41fe-a642-51703e1fc5fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revisione0a2d50bdf35248292f1 No789501c8a3b5 No revisione3c83837b69f0b6f4cf266 Noaffd7b92ae1fc5fa No

112

Data:998464d1-5e16-4316-8e6d-0a3b08fa08d4 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revisione0a2d50bdf35248292f1de-f2ac9a2bd9c05-8a3226ea1649af-19c5bd7c73d56390470551a3b08fa08d4 No

113

Data:C506420f-a719-47af-9e94-a000110aa359 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2bb71-d4159a938742 No revision has4dc5b1450a No revision has beenf5a8d0b5fa

114

Data:C6eff910-c4fc-4d06-982b-5fa64bb85b1b | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2bb71-d4159a938742 No revision has4dc5b1450aa31602c36f Noeff910-c4fc-4d06-982b-5fa64bb85b1b No revision

115

Data:Cba5627e-3005-4f15-8ca8-db9833fa2307 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2bb71-d4159a938742e80b26cc4 No revision has been approved833fa2307 No revision has been approved for this

116

Data:D0e41d2e-e8d0-49bf-8702-ba58cbc6fa62 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has been approved for this1e-67de4b817342 No revision hasfe831ab37a No revision has-ba58cbc6fa62

117

Data:D10f35da-c08f-4302-a594-0c07fa030303 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has been approved for this1e-67de4b817342 No revision500cd0ea5 No revision has been7fa030303 No

118

Data:Db79ff0d-5d26-4e24-9334-fd04fa515597 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision hasDafcf4ac-ca67-414f-9d31-84001343bbeb No revision has beenf5-a6f8067f288534-fd04fa515597 No

119

Data:Dbc6802e-fe34-489f-a5bb-afa721ba13ca | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision hasDafcf4ac-ca67-414f-9d31-84001343bbebDbc6802e-fe34-489f-a5bb-afa721ba13ca No revision has been

120

Data:Ded9a862-12fc-4ca8-b0fa-53831bb42562 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 NoDce066cd-9c07-4949-aa43-5e5007829464b0fa-53831bb42562 No revision has been approved for this page. It is

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


121

Data:Def61fa4-3ad9-42f2-89e9-f09fbbbeff8f | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 NoDce066cd-9c07-4949-aa43-5e5007829464b0fa-53831bb42562 No revision

122

Data:Df43da8a-c64c-48f2-8821-228fa066af79 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 NoDce066cd-9c07-4949-aa43-5e5007829464b0fa-53831bb42562 No578-7b7cf7c83694141a6e85268eb6ea506e301

123

Data:Dff95b8a-b6ab-451f-a26e-7581ec11f69b | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc No revision has been approved for this page. It isDff95b8a-b6ab-451f-a26e-7581ec11f69b No revision

124

Data:E0000780-59ee-4df8-8065-4a90fa1f9376 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc No revision has been approved for this page. It isDff95b8a-b6ab-451f-a26e-7581ec11f69b

125

Data:E1039a95-3b6c-438b-bdcb-3259aaa1c0fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc No revision has been approved for this page.db4f66f44 No6944fd33e478445f8 No revision9aaa1c0fa No

126

Data:E5a3fcfd-fe97-4342-8248-2959f3ac61fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc No revision has been approvedfcfd-fe97-4342-8248-2959f3ac61fa No revision has been approved for

127

Data:E5b88de3-3156-483f-a097-fba62c0d1594 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc No revision has been approvedfcfd-fe97-4342-8248-2959f3ac61fa No revision

128

Data:E5ce9527-ff5c-48f5-8560-fa71b087110f | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc No revision has been approvedfcfd-fe97-4342-8248-2959f3ac61fa No1b087110f No revision has been

129

Data:E5de959d-ac57-47aa-976a-03d02fa4d596 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc No revision has been approvedfcfd-fe97-4342-8248-2959f3ac61fa No1b087110f No revision

130

Data:382b3fb5-338e-40e0-accd-0e2b7de70fa7 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffef-15f046e6d97e No revision has beenbf1e-891fe0a8853a No revision7094830e2b7de70fa7 No

131

Data:3bf7d9e9-b2cf-43ac-8fe1-63780fa641a1 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffef-15f046e6d97ebecdcfa-6fb6-40ac-bf5c-d48387b93327 No revision has80fa641a1 No revision

132

n e w fa c u lt y p r o f i l e s k i n g h a l l fa c u lt y p u b l i s h c o m i c s  

E-Print Network [OSTI]

n e w fa c u lt y p r o f i l e s k i n g h a l l fa c u lt y p u b l i s h c o m i c s t o s p r e a d l e g a l k n o w l e d g e a l s o i n s i d e : ta n i c a n t i l - s a k a u y e ' 8 4 i s c h i e f j u s t i c e o f c a l i f o r n i a d o n o r s & v o l u n t e e r s #12;On the Cover

California at Davis, University of

133

Distributed Generation  

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

come a long way in addressing interconnection standards for distributed generation, utilities have largely overlooked the untapped potential of these resources. Under certain...

134

Data:5a561cdb-c372-46b8-9072-f6fd7f0e7fa6 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6dbb-9d4f0845d437 No revisionaebc-49d88d7c0940 No revisionfd7f0e7fa6 No

135

Data:306ca1d7-2976-489f-a027-03ef43f5391f | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No869d7ced0c4 Noddb932b8a3f1 No revision has been approved2976-489f-a027-03ef43f5391f

136

Data:33a7dc24-dbe1-4e2a-a6fa-cbe047744fcb | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No869d7ced0c4aa77f45ad4a No revision has-2ba205f94c09dbe1-4e2a-a6fa-cbe047744fcb No

137

Distributed DBMS Introduction  

E-Print Network [OSTI]

Distributed DBMS Outline Introduction What is a distributed DBMS Problems Current state-of-affairs Background Distributed DBMS Architecture Distributed Database Design Semantic Data Control Distributed Query Processing Distributed Transaction Management Parallel Database Systems Distributed Object DBMS

Chen, Yangjun

138

Distribution Category:  

Office of Legacy Management (LM)

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

139

Distributed Theorem Proving for Distributed Hybrid Systems  

E-Print Network [OSTI]

system with a varying number of arbitrarily many cars. 1 Introduction Hybrid systems with joint discrete a multi-agent system, e.g., distributed car control systems. Such systems form distributed hybrid systemsDistributed Theorem Proving for Distributed Hybrid Systems David W. Renshaw, Sarah M. Loos

Platzer, Andr

140

Distributed DBMS I Introduction  

E-Print Network [OSTI]

Distributed DBMS Outline I Introduction I Background I Distributed DBMS Architecture I Distributed Data server approach Parallel architectures Parallel DBMS techniques Parallel execution models Parallel Database Systems Distributed Object DBMS Database Interoperability Concluding Remarks #12

Chen, Yangjun

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141

DEPUTY VICE-CHANCELLOR PLEASE DISTRIBUTE TO ALL STAFF IN YOUR AREA  

E-Print Network [OSTI]

Faculties FASS, CoFA and FBE and further details are available from Faculty Associate Deans (Research). 2

New South Wales, University of

142

Data:F4c17fff-f1f6-4acd-ae27-e0e2fa091ee4 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for this page. It6d-bcfb5222116e Noe0e2fa091ee4 No revision has been approved for this

143

Data:Fa413ec1-68e5-4f5e-a367-f60cd2d56c38 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for thisd785796ade47 No revision has122ca32529 NoFa413ec1-68e5-4f5e-a367-f60cd2d56c38

144

Data:660d02d5-9fa2-4b90-b93b-69cd9f73a1a3 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approved fore6e8eee4495-afb210887c9bf3ac6ed3cc6 No14b8a2d55a428af5-541a79a6b8fa

145

Data:6d0a3dd5-5664-4a8f-a4f2-6eda93c9295d | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approvedea02758d3f49fa2694 No9fb1785f5 Nocffdaee-6f39-49b7-9aef-02132bd050c0

146

N e w Fa c u lt y P r o F i l e s K i N g H a l l e x Pa N s i o N &  

E-Print Network [OSTI]

N e w Fa c u lt y P r o F i l e s K i N g H a l l e x Pa N s i o N & r e N o vat i o N s o a r s a l s o i n s i d e : r e m e m b e r i N g t H e c l a s s o F 1 9 6 9 D o N o r r o l l s #12;m e for our students, with the School of Law unveiling a new externship program in Washington, D.C. in spring

California at Davis, University of

147

Data:C4bc06e4-b984-417c-b912-e7f5a8d0b5fa | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2bb71-d4159a938742 No revision has4dc5b1450a No revision has beenf5a8d0b5fa No revision has been approved

148

Data:D0b1be3f-6d90-470f-b82a-1fc113e7fa82 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has been approved for this1e-67de4b817342 No revision has beenf5348a7ea295 Noa-1fc113e7fa82 No

149

Unifying distribution functions: some lesser known distributions  

E-Print Network [OSTI]

We show that there is a way to unify distribution functions that describe simultaneously a signal in space and (spatial) frequency. Probably the most known of them is the Wigner distribution function. Here we show how to unify functions of the Cohen class, Rihacek's complex energy function, Husimi and Glauber-Sudarshan distribution functions.

Moya-Cessa, J R; Berriel-Valdos, L R; Aguilar-Loreto, O; Barberis-Blostein, P

2008-01-01T23:59:59.000Z

150

CONSULTANT REPORT DISTRIBUTED GENERATION  

E-Print Network [OSTI]

CONSULTANT REPORT DISTRIBUTED GENERATION INTEGRATION COST STUDY Analytical Framework energy development, or distributed generation, in California. In May 2012, Southern California Edison Southern California Edison's approach to evaluating distributed generation impacts, and to conduct

151

Distribution Grid Integration  

Broader source: Energy.gov [DOE]

The DOE Systems Integration team funds distribution grid integration research and development (R&D) activities to address the technical issues that surround distribution grid planning,...

152

FRIB cryogenic distribution system  

SciTech Connect (OSTI)

The Michigan State University Facility for Rare Isotope Beams (MSU-FRIB) helium distribution system has been revised to include bayonet/warm valve type disconnects between each cryomodule and the transfer line distribution system, similar to the Thomas Jefferson National Accelerator Facility (JLab) and the Spallation Neutron Source (SNS) cryogenic distribution systems. The heat loads at various temperature levels and some of the features in the design of the distribution system are outlined. The present status, the plans for fabrication, and the procurement approach for the helium distribution system are also included.

Ganni, Venkatarao [JLAB; Dixon, Kelly D. [JLAB; Laverdure, Nathaniel A. [JLAB; Knudsen, Peter N. [JLAB; Arenius, Dana M. [JLAB; Barrios, Matthew N. [Michigan State; Jones, S. [Michigan State; Johnson, M. [Michigan State; Casagrande, Fabio [Michigan State

2014-01-01T23:59:59.000Z

153

FRIB cryogenic distribution system  

SciTech Connect (OSTI)

The Michigan State University Facility for Rare Isotope Beams (MSU-FRIB) helium distribution system has been revised to include bayonet/warm valve type disconnects between each cryomodule and the transfer line distribution system, similar to the Thomas Jefferson National Accelerator Facility (JLab) and the Spallation Neutron Source (SNS) cryogenic distribution systems. The heat loads at various temperature levels and some of the features in the design of the distribution system are outlined. The present status, the plans for fabrication, and the procurement approach for the helium distribution system are also included.

Ganni, V.; Dixon, K.; Laverdure, N.; Knudsen, P.; Arenius, D. [Thomas Jefferson National Accelerator Facility (JLab), Newport News, VA 23606 (United States); Barrios, M.; Jones, S.; Johnson, M.; Casagrande, F. [Facility for Rare Isotope Beams (FRIB), Michigan State University, East Lansing, MI 48824 (United States)

2014-01-29T23:59:59.000Z

154

This work is sponsored by the I3P under Air Force Contract FA8721-05-C-0002. Opinions, interpretations, conclusions and recommendations are those of the author and are not necessarily endorsed by the United States Government.  

E-Print Network [OSTI]

plants, electric power generation, transmission and distribution, water distribution networks, and waste connected to the Internet. As a result, they have inherited IT cyberspace risks, threats, and attacks

155

Distribution of Correspondence  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

Defines correct procedures for distribution of correspondence to the Naval Reactors laboratories. Does not cancel another directive. Expired 8-30-97.

1996-08-30T23:59:59.000Z

156

Cooling water distribution system  

DOE Patents [OSTI]

A passive containment cooling system for a nuclear reactor containment vessel. Disclosed is a cooling water distribution system for introducing cooling water by gravity uniformly over the outer surface of a steel containment vessel using an interconnected series of radial guide elements, a plurality of circumferential collector elements and collector boxes to collect and feed the cooling water into distribution channels extending along the curved surface of the steel containment vessel. The cooling water is uniformly distributed over the curved surface by a plurality of weirs in the distribution channels.

Orr, Richard (Pittsburgh, PA)

1994-01-01T23:59:59.000Z

157

1 Smart Distribution: Coupled Microgrids  

E-Print Network [OSTI]

Abstract-- The distribution system provides major opportunities for smart grid concepts. One way to approach distribution system problems is to rethinking our distribution system to include the integration of high levels of distributed energy resources, using microgrid concepts. Basic objectives

R. H. Lasseter

158

Parametric probability distributions in reliability  

E-Print Network [OSTI]

Parametric probability distributions in reliability F.P.A. Coolen Department of Mathematical parametric probability distributions which are frequently used in reliability. We present some main as models for specific reliability scenarios. Keywords: Binomial distribution, Exponential distribution

Coolen, Frank

159

Software distribution using xnetlib  

SciTech Connect (OSTI)

Xnetlib is a new tool for software distribution. Whereas its predecessor netlib uses e-mail as the user interface to its large collection of public-domain mathematical software, xnetlib uses an X Window interface and socket-based communication. Xnetlib makes it easy to search through a large distributed collection of software and to retrieve requested software in seconds.

Dongarra, J.J. [Univ. of Tennessee, Knoxville, TN (US). Dept. of Computer Science]|[Oak Ridge National Lab., TN (US); Rowan, T.H. [Oak Ridge National Lab., TN (US); Wade, R.C. [Univ. of Tennessee, Knoxville, TN (US). Dept. of Computer Science

1993-06-01T23:59:59.000Z

160

DISTRIBUTED BEST PRACTICES  

E-Print Network [OSTI]

POLICY APPROACHES TO SUPPORT DISTRIBUTED RENEWABLE ENERGY: BEST PRACTICES AMONG U.S. STATES FINAL REPORT A Renewable Energy Applications for Delaware Yearly (READY) Project Center for Energy, state, federal and international agencies and nonprofit organizations. The Center is composed

Delaware, University of

Note: This page contains sample records for the topic "distribution fa cilities" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Efficient distributed quantum computing  

E-Print Network [OSTI]

We provide algorithms for efficiently moving and addressing quantum memory in parallel. These imply that the standard circuit model can be simulated with a low overhead by a more realistic model of a distributed quantum ...

Beals, Robert

162

Quantum dense key distribution  

SciTech Connect (OSTI)

This paper proposes a protocol for quantum dense key distribution. This protocol embeds the benefits of a quantum dense coding and a quantum key distribution and is able to generate shared secret keys four times more efficiently than the Bennet-Brassard 1984 protocol. We hereinafter prove the security of this scheme against individual eavesdropping attacks, and we present preliminary experimental results, showing its feasibility.

Degiovanni, I.P.; Ruo Berchera, I.; Castelletto, S.; Rastello, M.L.; Bovino, F.A.; Colla, A.M.; Castagnoli, G. [Istituto Elettrotecnico Nazionale G. Ferraris, Strada delle Cacce 91, 10135 Torino (Italy); ELSAG SpA, Via Puccini 2, 16154, Genova (Italy)

2004-03-01T23:59:59.000Z

163

Equilibrium Distributions and Superconductivity  

E-Print Network [OSTI]

In this article two models for charges distributions are discussed. On the basis of our consideration we put different points of view for stationary state. We prove that only finite energy model for charges' distribution and well-known variation principle explain some well-known experimental results. A new model for superconductivity was suggested, too. In frame of that model some characteristic experimental results for superconductors is possible to explain.

Ashot Vagharshakyan

2011-06-07T23:59:59.000Z

164

Distributed data transmitter  

DOE Patents [OSTI]

A distributed data transmitter (DTXR) which is an adaptive data communication microwave transmitter having a distributable architecture of modular components, and which incorporates both digital and microwave technology to provide substantial improvements in physical and operational flexibility. The DTXR has application in, for example, remote data acquisition involving the transmission of telemetry data across a wireless link, wherein the DTXR is integrated into and utilizes available space within a system (e.g., a flight vehicle). In a preferred embodiment, the DTXR broadly comprises a plurality of input interfaces; a data modulator; a power amplifier; and a power converter, all of which are modularly separate and distinct so as to be substantially independently physically distributable and positionable throughout the system wherever sufficient space is available.

Brown, Kenneth Dewayne (Grain Valley, MO); Dunson, David (Kansas City, MO)

2008-06-03T23:59:59.000Z

165

Distributed data transmitter  

DOE Patents [OSTI]

A distributed data transmitter (DTXR) which is an adaptive data communication microwave transmitter having a distributable architecture of modular components, and which incorporates both digital and microwave technology to provide substantial improvements in physical and operational flexibility. The DTXR has application in, for example, remote data acquisition involving the transmission of telemetry data across a wireless link, wherein the DTXR is integrated into and utilizes available space within a system (e.g., a flight vehicle). In a preferred embodiment, the DTXR broadly comprises a plurality of input interfaces; a data modulator; a power amplifier; and a power converter, all of which are modularly separate and distinct so as to be substantially independently physically distributable and positionable throughout the system wherever sufficient space is available.

Brown, Kenneth Dewayne (Grain Valley, MO); Dunson, David (Kansas City, MO)

2006-08-08T23:59:59.000Z

166

Air distribution effectiveness with stratified air distribution systems  

E-Print Network [OSTI]

1 Air distribution effectiveness with stratified air distribution systems Kisup Lee* Zheng Jiang, Ph.D Qingyan Chen, Ph.D. Student Member ASHRAE Fellow ASHRAE ABSTRACT Stratified air distribution systems such as Traditional Displacement Ventilation (TDV) and Under- Floor Air Distribution (UFAD

Chen, Qingyan "Yan"

167

Proceedings Engineering Distributed Objects  

E-Print Network [OSTI]

-18, 1999 Edited by Wolfgang Emmerich Volker Gruhn #12;#12;Table of Contents Introduction Wolfgang Emmerich;#12;Engineering Distributed Objects (EDO 99) Introduction Wolfgang Emmerich Dept. of Computer Science University College London London WC1E 6BT United Kingdom w.emmerich@cs.ucl.ac.uk Volker Gruhn Informatik 10 Universit

Emmerich, Wolfgang

168

Building diagnosable distributed systems  

E-Print Network [OSTI]

Building diagnosable distributed systems Petros Maniatis Intel Research Berkeley ICSI ­ Security] Project response@R (R, K, SI) lookup response Specification #12;2/8/2006 Petros Maniatis9 Strawman Design Join lookup.NI == node.NI Join lookup.NI == succ.NI Select K in (N, S] Project response@R (R, K, SI

Maniatis, Petros

169

Distributed analysis in ATLAS  

E-Print Network [OSTI]

The ATLAS experiment accumulated more than 140 PB of data during the first run of the Large Hadron Collider (LHC) at CERN. The analysis of such an amount of data for the distributed physics community is a challenging task. The Distributed Analysis (DA) system of the ATLAS experiment is an established and stable component of the ATLAS distributed computing operations. About half a million user jobs are daily running on DA resources, submitted by more than 1500 ATLAS physicists. The reliability of the DA system during the first run of the LHC and the following shutdown period has been high thanks to the continuous automatic validation of the distributed analysis sites and the user support provided by a dedicated team of expert shifters. During the LHC shutdown, the ATLAS computing model has undergone several changes to improve the analysis workflows, including the re-design of the production system, a new analysis data format and event model, and the development of common reduction and analysis frameworks. We r...

Dewhurst, Alastair; The ATLAS collaboration

2015-01-01T23:59:59.000Z

170

Microsoft Word - best-fa.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment SurfacesResource Program Preliminary Needs535:UFC5,Overview ofLance B. Becker

171

FA 1: Diversifying Supply | Critical Materials Institute  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolution Enhanced OilExtracting theExtremeM ^ FF. WardF.1:

172

FA 2: Developing Substitutes | Critical Materials Institute  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolution Enhanced OilExtracting theExtremeM ^ FF. WardF.1:2:

173

FA 4: Crosscutting Research | Critical Materials Institute  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolution Enhanced OilExtracting theExtremeM ^ FF.4:

174

FA Technology Ventures (Boston) | Open Energy Information  

Open Energy Info (EERE)

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

175

Probabilistic and Resilient Distributed Architectures  

E-Print Network [OSTI]

projects for undergraduates that integrate multiple disciplines, e.g., protein folding and distributed

Heaton, Thomas H.

176

Distributed XML Design Serge Abiteboul  

E-Print Network [OSTI]

Distributed XML Design Serge Abiteboul INRIA Saclay ­ ?le-de-France & University Paris Sud, FR that a distribution design of the document tree is given, provid- ing an XML tree some of whose leaves are "docking.4 [Distributed Systems]: Distributed databases; H.2.1 [Logical Design]: Data models; Schema and subschema General

Paris-Sud XI, Université de

177

Distributed Energy Alternatives to Electrical  

E-Print Network [OSTI]

Distributed Energy Alternatives to Electrical Distribution Grid Expansion in Consolidated Edison.www.gastechnology.org 2 #12;Distributed Energy Alternatives to Electrical Distribution Grid Expansion in Consolidated-Battelle for the Department of Energy Subcontract Number: 4000052360 GTI Project Number: 20441 New York State Energy Research

Pennycook, Steve

178

Blackbody Distribution for Wormholes  

E-Print Network [OSTI]

By assuming that only (i) bilocal vertex operators which are diagonal with respect to the basis for local field operators, and (ii) the convergent elements with nonzero positive energy of the density matrix representing the quantum state of multiply-connected wormholes, contribute the path integral that describes the effects of wormholes on ordinary matter fields at low energy, it is obtained that the probability measure for multiply connected wormholes with nondegenerate energy spectrum is given in terms of a Planckian probability distribution for the momenta of a quantum field $\\frac{1}{2}\\alpha^ {2}$, where the $\\alpha$'s are the Coleman parameters, rather than a classical gaussian distribution law, and that an observable classical universe can exist if, and only if, such multiply connected wormholes are allowed to occur.

P. F. Gonzlez-Daz

1993-09-13T23:59:59.000Z

179

Mapping Biomass Distribution Potential  

E-Print Network [OSTI]

Mapping Biomass Distribution Potential Michael Schaetzel Undergraduate ? Environmental Studies ? University of Kansas L O C A T S I O N BIOMASS ENERGY POTENTIAL o According to DOE, Biomass has the potential to provide 14% of... the nations power o Currently 1% of national power supply o Carbon neutral? combustion of biomass is part of the natural carbon cycle o Improved crop residue management has potential to benefit environment, producers, and economy Biomass Btu...

Schaetzel, Michael

2010-11-18T23:59:59.000Z

180

GASIFICATION FOR DISTRIBUTED GENERATION  

SciTech Connect (OSTI)

A recent emphasis in gasification technology development has been directed toward reduced-scale gasifier systems for distributed generation at remote sites. The domestic distributed power generation market over the next decade is expected to be 5-6 gigawatts per year. The global increase is expected at 20 gigawatts over the next decade. The economics of gasification for distributed power generation are significantly improved when fuel transport is minimized. Until recently, gasification technology has been synonymous with coal conversion. Presently, however, interest centers on providing clean-burning fuel to remote sites that are not necessarily near coal supplies but have sufficient alternative carbonaceous material to feed a small gasifier. Gasifiers up to 50 MW are of current interest, with emphasis on those of 5-MW generating capacity. Internal combustion engines offer a more robust system for utilizing the fuel gas, while fuel cells and microturbines offer higher electric conversion efficiencies. The initial focus of this multiyear effort was on internal combustion engines and microturbines as more realistic near-term options for distributed generation. In this project, we studied emerging gasification technologies that can provide gas from regionally available feedstock as fuel to power generators under 30 MW in a distributed generation setting. Larger-scale gasification, primarily coal-fed, has been used commercially for more than 50 years to produce clean synthesis gas for the refining, chemical, and power industries. Commercial-scale gasification activities are under way at 113 sites in 22 countries in North and South America, Europe, Asia, Africa, and Australia, according to the Gasification Technologies Council. Gasification studies were carried out on alfalfa, black liquor (a high-sodium waste from the pulp industry), cow manure, and willow on the laboratory scale and on alfalfa, black liquor, and willow on the bench scale. Initial parametric tests evaluated through reactivity and product composition were carried out on thermogravimetric analysis (TGA) equipment. These tests were evaluated and then followed by bench-scale studies at 1123 K using an integrated bench-scale fluidized-bed gasifier (IBG) which can be operated in the semicontinuous batch mode. Products from tests were solid (ash), liquid (tar), and gas. Tar was separated on an open chromatographic column. Analysis of the gas product was carried out using on-line Fourier transform infrared spectroscopy (FT-IR). For selected tests, gas was collected periodically and analyzed using a refinery gas analyzer GC (gas chromatograph). The solid product was not extensively analyzed. This report is a part of a search into emerging gasification technologies that can provide power under 30 MW in a distributed generation setting. Larger-scale gasification has been used commercially for more than 50 years to produce clean synthesis gas for the refining, chemical, and power industries, and it is probable that scaled-down applications for use in remote areas will become viable. The appendix to this report contains a list, description, and sources of currently available gasification technologies that could be or are being commercially applied for distributed generation. This list was gathered from current sources and provides information about the supplier, the relative size range, and the status of the technology.

Ronald C. Timpe; Michael D. Mann; Darren D. Schmidt

2000-05-01T23:59:59.000Z

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


181

A reliability assessment methodology for distribution systems with distributed generation  

E-Print Network [OSTI]

Reliability assessment is of primary importance in designing and planning distribution systems that operate in an economic manner with minimal interruption of customer loads. With the advances in renewable energy sources, Distributed Generation (DG...

Duttagupta, Suchismita Sujaya

2006-08-16T23:59:59.000Z

182

Distributed computing systems programme  

SciTech Connect (OSTI)

Publication of this volume coincides with the completion of the U.K. Science and Engineering Research Council's coordinated programme of research in Distributed Computing Systems (DCS) which ran from 1977 to 1984. The volume is based on presentations made at the programme's final conference. The first chapter explains the origins and history of DCS and gives an overview of the programme and its achievements. The remaining sixteen chapters review particular research themes (including imperative and declarative languages, and performance modelling), and describe particular research projects in technical areas including local area networks, design, development and analysis of concurrent systems, parallel algorithm design, functional programming and non-von Neumann computer architectures.

Duce, D.

1984-01-01T23:59:59.000Z

183

Distributed Optimization System  

DOE Patents [OSTI]

A search system and method for controlling multiple agents to optimize an objective using distributed sensing and cooperative control. The search agent can be one or more physical agents, such as a robot, and can be software agents for searching cyberspace. The objective can be: chemical sources, temperature sources, radiation sources, light sources, evaders, trespassers, explosive sources, time dependent sources, time independent sources, function surfaces, maximization points, minimization points, and optimal control of a system such as a communication system, an economy, a crane, and a multi-processor computer.

Hurtado, John E. (Albuquerque, NM); Dohrmann, Clark R. (Albuquerque, NM); Robinett, III, Rush D. (Tijeras, NM)

2004-11-30T23:59:59.000Z

184

Limited Distribution Notice  

E-Print Network [OSTI]

This report has been submitted for publication outside of IBM and will probably be copyrighted is accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). Some reports are available at

Josh Hailpern; John Jay High; Charles C. Palmer

185

Annual Coal Distribution Tables  

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

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

186

Annual Coal Distribution Tables  

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

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

187

Annual Coal Distribution Tables  

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

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

188

Building the Distribution Grid  

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 Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 < prevBuilding the Distribution Grid of the Future

189

Distributed Energy Resources for Carbon Emissions Mitigation  

E-Print Network [OSTI]

and Energy Reliability, Distribution System Integrationand Energy Reliability, Distribution System Integration

Firestone, Ryan; Marnay, Chris

2008-01-01T23:59:59.000Z

190

Technical Potential for Local Distributed  

E-Print Network [OSTI]

the impact of high penetrations of solar PV on wholesale power markets (energy and capacity Technical Potential for Local Distributed Photovoltaics in California Preliminary.391.5100 www.ethree.com Technical Potential for Local Distributed Photovoltaics in California Preliminary

191

Bryant fall 2010 FCP H I L A N T H R O P Y I N A C T I O N FA L L/WI NTER2011ABRyA NTUN IvE RsITyREsoURcEFo RP Ro FEssIoNALsUccEss  

E-Print Network [OSTI]

Bryant fall 2010 FCP H I L A N T H R O P Y I N A C T I O N FA L L/WI NTER2011ABRyA NTUN IvE RsITyREsoURcEFo RP Ro FEssIoNALsUccEss #12;1 President's Message 2 VisiOn 2020 Bryant charts a bold course's success. 12 inVesting in tHe neXt generatiOn Helping deserving students make their hopes come true, Bryant

Blais, Brian

192

Designing Distributed Applications with Mobile Code Paradigms  

E-Print Network [OSTI]

Designing Distributed Applications with Mobile Code Paradigms Antonio Carzaniga Politecnico di code, design paradigms, distributed applica­ tions. INTRODUCTION Distributed systems have been with the design of distributed applications, that aims at identifying the distributable components

Carzaniga, Antonio

193

Benford distributions in NMR  

E-Print Network [OSTI]

Benford's Law is an empirical law which predicts the frequency of significant digits in databases corresponding to various phenomena, natural or artificial. Although counter intuitive at the first sight, it predicts a higher occurrence of digit 1, and decreasing occurrences to other larger digits. Here we report the Benford analysis of various NMR databases and draw several interesting inferences. We observe that, in general, NMR signals follow Benford distribution in time-domain as well as in frequency domain. Our survey included NMR signals of various nuclear species in a wide variety of molecules in different phases, namely liquid, liquid-crystalline, and solid. We also studied the dependence of Benford distribution on NMR parameters such as signal to noise ratio, number of scans, pulse angles, and apodization. In this process we also find that, under certain circumstances, the Benford analysis can distinguish a genuine spectrum from a visually identical simulated spectrum. Further we find that chemical-shift databases and amplitudes of certain radio frequency pulses generated using optimal control techniques also satisfy Benford's law to a good extent.

Gaurav Bhole; Abhishek Shukla; T. S. Mahesh

2014-06-27T23:59:59.000Z

194

DISTRIBUTED GENERATION AND COGENERATION POLICY  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION DISTRIBUTED GENERATION AND COGENERATION POLICY ROADMAP FOR CALIFORNIA to the development of this report by the Energy Commission's Distributed Generation Policy Advisory Team; Melissa;ABSTRACT This report defines a year 2020 policy vision for distributed generation and cogeneration

195

Distributed road assessment system  

DOE Patents [OSTI]

A system that detects damage on or below the surface of a paved structure or pavement is provided. A distributed road assessment system includes road assessment pods and a road assessment server. Each road assessment pod includes a ground-penetrating radar antenna array and a detection system that detects road damage from the return signals as the vehicle on which the pod is mounted travels down a road. Each road assessment pod transmits to the road assessment server occurrence information describing each occurrence of road damage that is newly detected on a current scan of a road. The road assessment server maintains a road damage database of occurrence information describing the previously detected occurrences of road damage. After the road assessment server receives occurrence information for newly detected occurrences of road damage for a portion of a road, the road assessment server determines which newly detected occurrences correspond to which previously detected occurrences of road damage.

Beer, N. Reginald; Paglieroni, David W

2014-03-25T23:59:59.000Z

196

Measuring Advances in HVAC Distribution System Design  

E-Print Network [OSTI]

Advances in HV AC Distribution System Design Ellen FranconiAdvances in HVAC Distribution System Design Ellen Franconisavings result from distribution system design improvements,

Franconi, E.

2011-01-01T23:59:59.000Z

197

Energy performance of underfloor air distribution systems  

E-Print Network [OSTI]

UnderfloorAirDistribution(UFAD)DesignGuide. Atlanta:distribution,UFAD,EnergyPlus,EnergyPlus/UFAD,energy modeling,designdesigncalculationsmustaccountforthedistributionof

Bauman, Fred; Webster, Tom; Linden, Paul; Buhl, Fred

2007-01-01T23:59:59.000Z

198

AGENDA: PETROLEUM PRODUCT TRANSMISSION & DISTRIBUTION  

Broader source: Energy.gov [DOE]

The agenda for the Quadrennial Energy Review (QER) public stakeholder meeting in New Orleans on petroleum product transmission, distribution, and storage.

199

Arnold Schwarzenegger DISTRIBUTED GENERATION DRIVETRAIN  

E-Print Network [OSTI]

Arnold Schwarzenegger Governor DISTRIBUTED GENERATION DRIVETRAIN FOR WINDPOWER APPLICATION Prepared GENERATION DRIVETRAIN FOR WINDPOWER APPLICATION EISG AWARDEE Dehlsen Associates, LLC 7985 Armas Canyon Road

200

Designing Distributed Applications with Mobile Code Paradigms  

E-Print Network [OSTI]

Designing Distributed Applications with Mobile Code Paradigms Antonio Carzaniga Politecnico di the selection of the correct paradigm for a given distributed application. Keywords Mobile code, design with the design of distributed applications, that aims at identifying the distributable components

Carzaniga, Antonio

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


201

Distributed DBMS Page 4. 1 I Introduction  

E-Print Network [OSTI]

Distributed DBMS Page 4. 1 Outline I Introduction I Background Distributed DBMS Architecture Datalogical Architecture Implementation Alternatives Component Architecture Distributed DBMS Architecture Management Parallel Database Systems Distributed Object DBMS Database Interoperability Current Issues #12

Chen, Yangjun

202

Distribution of Clokey's Eggvetch  

SciTech Connect (OSTI)

The Environment, Safety and Health Division of the U.S. Department of Energy, Nevada Operations Office implements the Ecological Monitoring and Compliance Program on the Nevada Test Site (NTS). This program ensures compliance with applicable environmental laws and regulations, delineates and describes NTS ecosystems, and provides ecological information for predicting and evaluating potential impacts of proposed projects on those ecosystems. Over the last several decades, has taken an active role in providing information on the tatus of plant species proposed for protection under the Endangered Species Act(ESA). One such species is Clokey's eggvetch (Astragalus oophorus var. clokeyanus), which is a candidate species under the listing guidelines of the ESA. Surveys for this species were conducted on the NTS in 1996, 1997, and 1998. Field surveys focused on potential habitat for this species in the southern Belted range and expanded to other areas with similar habitat. Over 30 survey day s were completed; five survey days in 1996, 25 survey days in 1997, and three survey days in 1998. Clokey's eggvetch was located at several sites in the southern Belted Range. It was found through much of the northern section of Kawich Canyon, one site at the head of Gritty Gulch, and a rather extensive location in Lambs Canyon. It was also located further south at Captain Jack Springs in the Eleana Range, in much of Falcon Canyon and around Echo Peak on Pahute Mesa, and was also found in the Timber and Shoshone Mountains. Overall, the locations of Clokey's eggvetch on the NTS appears to form a distinct bridge between populations of the species located further north in the Belted and Kawich Ranges and the population located in the Spring Mountains. Clokey's eggvetch was commonly found along washes and small draws, and typically in sandy loam soils with a covering of light tuffaceous rock. It occurs primarily above 1830 meters (6000 feet) in association with single-leaf pinyon (Pinus monophylla), Utah juniper (Juniperus osteosperma), and big sagebrush (Artemisia tridentata ssp. tridentata). Overall, the populations of Clokey's eggvetch on the NTS appear to be vigorous and do not appear threatened. It is estimated that there are approximately 2300 plants on the NTS. It should be considered as a species of concern because of its localized distribution, but it does not appear to warrant protection under the ESA.

David C. Anderson

1998-12-01T23:59:59.000Z

203

Quality monitored distributed voting system  

DOE Patents [OSTI]

A quality monitoring system can detect certain system faults and fraud attempts in a distributed voting system. The system uses decoy voters to cast predetermined check ballots. Absent check ballots can indicate system faults. Altered check ballots can indicate attempts at counterfeiting votes. The system can also cast check ballots at predetermined times to provide another check on the distributed voting system. 6 figs.

Skogmo, D.

1997-03-18T23:59:59.000Z

204

Visualizations of Spatial Distribution Functions  

E-Print Network [OSTI]

number. - Determines 3D structure around a chosen molecule - The SDF gives radial and angular distribution - to study the SDF of water and hydronium around sulfonate group and side chain. Spatial Distribution Function (SDF) #12;3D Isodensity Surfaces - points around atom A where it's equally probable

Petta, Jason

205

Distribution System Voltage Regulation by Distributed Energy Resources  

SciTech Connect (OSTI)

This paper proposes a control method to regulate voltages in 3 phase unbalanced electrical distribution systems. A constrained optimization problem to minimize voltage deviations and maximize distributed energy resource (DER) active power output is solved by harmony search algorithm. IEEE 13 Bus Distribution Test System was modified to test three different cases: a) only voltage regulator controlled system b) only DER controlled system and c) both voltage regulator and DER controlled system. The simulation results show that systems with both voltage regulators and DER control provide better voltage profile.

Ceylan, Oguzhan [ORNL; Liu, Guodong [ORNL; Xu, Yan [ORNL; Tomsovic, Kevin [University of Tennessee, Knoxville (UTK)

2014-01-01T23:59:59.000Z

206

2013 Distributed Wind Market Report  

SciTech Connect (OSTI)

The purpose of this report is to quantify and summarize the 2013 U.S. distributed wind market to help plan and guide future investments and decisions by industry stakeholders, utilities, state and federal agencies, and other interested parties.

Orrell, Alice C.; Rhoads-Weaver, H. E.; Flowers, Larry T.; Gagne, Matthew N.; Pro, Boyd H.; Foster, Nikolas AF

2014-08-20T23:59:59.000Z

207

Embodied emergence : distributed computing manipulatives  

E-Print Network [OSTI]

Distributed systems and the emergent properties that can arise out of simple localized interactions have fascinated scientists and artists alike for the last century. They challenge the notions of control and creativity, ...

Bouchard, David, S.M. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

208

Modeling hydrogen fuel distribution infrastructure  

E-Print Network [OSTI]

This thesis' fundamental research question is to evaluate the structure of the hydrogen production, distribution, and dispensing infrastructure under various scenarios and to discover if any trends become apparent after ...

Pulido, Jon R. (Jon Ramon), 1974-

2004-01-01T23:59:59.000Z

209

Generalized parton distributions in nuclei  

SciTech Connect (OSTI)

Generalized parton distributions (GPDs) of nuclei describe the distribution of quarks and gluons in nuclei probed in hard exclusive reactions, such as e.g. deeply virtual Compton scattering (DVCS). Nuclear GPDs and nuclear DVCS allow us to study new aspects of many traditional nuclear effects (nuclear shadowing, EMC effect, medium modifications of the bound nucleons) as well as to access novel nuclear effects. In my talk, I review recent theoretical progress in the area of nuclear GPDs.

Vadim Guzey

2009-12-01T23:59:59.000Z

210

Distributed DBMS Page 5. 1 I Introduction  

E-Print Network [OSTI]

Distributed DBMS Page 5. 1 Outline I Introduction I Background I Distributed DBMS Architecture Distributed Transaction Management Parallel Database Systems Distributed Object DBMS Database Interoperability Current Issues #12;Distributed DBMS Page 5. 2 Design Problem I In the general setting : Making

Chen, Yangjun

211

Distributed Wind Energy in Idaho  

SciTech Connect (OSTI)

Project Objective: This project is a research and development program aimed at furthering distributed wind technology. In particular, this project addresses some of the barriers to distributed wind energy utilization in Idaho. Background: At its core, the technological challenge inherent in Wind Energy is the transformation of a highly variable form of energy to one which is compatible with the commercial power grid or another useful application. A major economic barrier to the success of distributed wind technology is the relatively high capital investment (and related long payback periods) associated with wind turbines. This project will carry out fundamental research and technology development to address both the technological and economic barriers. â?¢ Active drive train control holds the potential to improve the overall efficiency of a turbine system by allowing variable speed turbine operation while ensuring a tight control of generator shaft speed, thus greatly simplifying power conditioning. â?¢ Recent blade aerodynamic advancements have been focused on large, utility-scale wind turbine generators (WTGs) as opposed to smaller WTGs designed for distributed generation. Because of Reynolds Number considerations, blade designs do not scale well. Blades which are aerodynamically optimized for distributed-scale WTGs can potentially reduce the cost of electricity by increasing shaft-torque in a given wind speed. â?¢ Grid-connected electric generators typically operate at a fixed speed. If a generator were able to economically operate at multiple speeds, it could potentially convert more of the windâ??s energy to electricity, thus reducing the cost of electricity. This research directly supports the stated goal of the Wind and Hydropower Technologies Program for Distributed Wind Energy Technology: By 2007, reduce the cost of electricity from distributed wind systems to 10 to 15 cents/kWh in Class 3 wind resources, the same level that is currently achievable in Class 5 winds.

Gardner, John; Ferguson, James; Ahmed-Zaid, Said; Johnson, Kathryn; Haynes, Todd; Bennett, Keith

2009-01-31T23:59:59.000Z

212

Optimal Distributed Voltage Regulation in Power Distribution Networks  

E-Print Network [OSTI]

In this paper, we address the problem of voltage regulation in power distribution networks with deep-penetration of distributed energy resources (DERs), e.g., renewable-based generation, and storage-capable loads such as plug-in hybrid electric vehicles. We cast the problem as an optimization program, where the objective is to minimize the losses in the network subject to constraints on bus voltage magnitudes, limits on active and reactive power injections, transmission line thermal limits and losses. We provide sufficient conditions under which the optimization problem can be solved via its convex relaxation. Using data from existing networks, we show that the conditions are expected to be satisfied by most networks. We also provide an efficient distributed algorithm to solve the problem. The algorithm is asynchronous, with a communication topology that is the same as the electrical network topology. We illustrate the algorithm's performance in the IEEE 34-bus and the 123-bus feeder test systems.

Lam, Albert Y S; Dominguez-Garcia, Alejandro; Tse, David

2012-01-01T23:59:59.000Z

213

Creative cleavages : distributive politics and electoral alignment  

E-Print Network [OSTI]

Distributive politics plays an important role for political elites for their electoral goal. Since the resources that politicians can distribute are limited, they have to decide how to distribute them in order to maximize ...

Kim, Jiyoon, Ph. D. Massachusetts Institute of Technology

2005-01-01T23:59:59.000Z

214

Constructing Reliable Distributed Communication Systems with CORBA  

E-Print Network [OSTI]

Constructing Reliable Distributed Communication Systems with CORBA Silvano Maffeis Douglas C model to support reliable data- and process- oriented distributed systems that communicate through syn distributed object computing systems with CORBA. First, we examine the question of whether reliable applica

Schmidt, Douglas C.

215

Integrated Transmission and Distribution Control  

SciTech Connect (OSTI)

Distributed, generation, demand response, distributed storage, smart appliances, electric vehicles and renewable energy resources are expected to play a key part in the transformation of the American power system. Control, coordination and compensation of these smart grid assets are inherently interlinked. Advanced control strategies to warrant large-scale penetration of distributed smart grid assets do not currently exist. While many of the smart grid technologies proposed involve assets being deployed at the distribution level, most of the significant benefits accrue at the transmission level. The development of advanced smart grid simulation tools, such as GridLAB-D, has led to a dramatic improvement in the models of smart grid assets available for design and evaluation of smart grid technology. However, one of the main challenges to quantifying the benefits of smart grid assets at the transmission level is the lack of tools and framework for integrating transmission and distribution technologies into a single simulation environment. Furthermore, given the size and complexity of the distribution system, it is crucial to be able to represent the behavior of distributed smart grid assets using reduced-order controllable models and to analyze their impacts on the bulk power system in terms of stability and reliability. The objectives of the project were to: Develop a simulation environment for integrating transmission and distribution control, Construct reduced-order controllable models for smart grid assets at the distribution level, Design and validate closed-loop control strategies for distributed smart grid assets, and Demonstrate impact of integrating thousands of smart grid assets under closed-loop control demand response strategies on the transmission system. More specifically, GridLAB-D, a distribution system tool, and PowerWorld, a transmission planning tool, are integrated into a single simulation environment. The integrated environment allows the load flow interactions between the bulk power system and end-use loads to be explicitly modeled. Power system interactions are modeled down to time intervals as short as 1-second. Another practical issue is that the size and complexity of typical distribution systems makes direct integration with transmission models computationally intractable. Hence, the focus of the next main task is to develop reduced-order controllable models for some of the smart grid assets. In particular, HVAC units, which are a type of Thermostatically Controlled Loads (TCLs), are considered. The reduced-order modeling approach can be extended to other smart grid assets, like water heaters, PVs and PHEVs. Closed-loop control strategies are designed for a population of HVAC units under realistic conditions. The proposed load controller is fully responsive and achieves the control objective without sacrificing the end-use performance. Finally, using the T&D simulation platform, the benefits to the bulk power system are demonstrated by controlling smart grid assets under different demand response closed-loop control strategies.

Kalsi, Karanjit; Fuller, Jason C.; Tuffner, Francis K.; Lian, Jianming; Zhang, Wei; Marinovici, Laurentiu D.; Fisher, Andrew R.; Chassin, Forrest S.; Hauer, Matthew L.

2013-01-16T23:59:59.000Z

216

Helping Policymakers Evaluate Distributed Wind Options | Department...  

Energy Savers [EERE]

and consumers evaluate the effectiveness of policies that promote distributed wind-wind turbines installed at homes, farms, and busi-nesses. Distributed wind allows Americans to...

217

Distributed Hydrogen Production from Natural Gas: Independent...  

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

Distributed Hydrogen Production from Natural Gas: Independent Review Panel Report Distributed Hydrogen Production from Natural Gas: Independent Review Panel Report Independent...

218

NREL: Technology Deployment - Distributed Generation Interconnection...  

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

Distributed Generation Interconnection Collaborative Become a Member DGIC members are included in quarterly informational meetings and discussions related to distributed PV...

219

Measuring Advances in HVAC Distribution System Design  

E-Print Network [OSTI]

Gabel and Andresen, HVAC Secondary Toolkil. Atlanta: ASHRAE,P_02 Measuring Advances in HVAC Distribution System Designdesign and operation of the HVAC thermal distribution system

Franconi, E.

2011-01-01T23:59:59.000Z

220

Sandia National Laboratories: Distribution Grid Integration  

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

Distribution Grid Integration Recent Sandia Secure, Scalable Microgrid Advanced Controls Research Accomplishments On March 3, 2015, in Capabilities, Distribution Grid Integration,...

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


221

Regulatory Considerations for Developing Distributed Generation...  

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

Distributed Generation Projects Webinar May 23, 2012 Regulatory Considerations for Developing Distributed Generation Projects Webinar May 23, 2012 Document covers the Regulatory...

222

Building America Webinar: Ductless Hydronic Distribution Systems...  

Energy Savers [EERE]

Building America Webinar: Ductless Hydronic Distribution Systems Building America Webinar: Ductless Hydronic Distribution Systems This webinar was presented by research team...

223

A distributed accelerated gradient algorithm for distributed model predictive  

E-Print Network [OSTI]

of hydro power plants is to manage the available water resources efficiently, while following an optimal is applied to the power reference tracking problem of a hydro power valley (HPV) system. The applied power control, Distributed optimization, Accelerated gradient algorithm, Model predictive control

Como, Giacomo

224

Distribution Statement A: Approved for public release; distribution is unlimited.  

E-Print Network [OSTI]

: Approved for public release; distribution is unlimited. AHPCRC, The Army High Performance Computing for the warfighter. High performance computing (HPC) provides significant advantages in designing and characterizing theories and best practices of simulation-based engineering sciences and high performance computing

Prinz, Friedrich B.

225

Worst Case Scenario for Large Distribution Networks with Distributed Generation  

E-Print Network [OSTI]

, tides, and geothermal heat, is the best choice as alternative source of energy. The interconnection and distribution networks, finally to the electric energy consumers. The life style of a nation is measured of these renewable energy sources and other forms of small generation such as combined heat and power (CHP) units

Pota, Himanshu Roy

226

Intrusion Detection in the Large: Distributed Detection of Distributed Attacks  

E-Print Network [OSTI]

Communicate CMAD IV (Monterey, 1996) Coniidentiality/Sanitize Security Feedback to cracker Under Phased Response - Are there dependable cues n Distributed Attack in small Cluster of Computers - Limit components CMAD IV (Monterey, 1996) Doug Moran, SRI International n Single Platform Type #12;Scaling-Up 4

California at Davis, University of

227

Medium Effects in Parton Distributions  

SciTech Connect (OSTI)

A defining experiment of high-energy physics in the 1980s was that of the EMC collaboration where it was first observed that parton distributions in nuclei are non-trivially related to those in the proton. This result implies that the presence of the nuclear medium plays an important role and an understanding of this from QCD has been an important goal ever since Here we investigate analogous, but technically simpler, effects in QCD and examine how the lowest moment of the pion parton distribution is modified by the presence of a Bose-condensed gas of pions or kaons.

William Detmold, Huey-Wen Lin

2011-12-01T23:59:59.000Z

228

Distribution:  

Office of Legacy Management (LM)

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

229

Distribution power quality measurement program  

SciTech Connect (OSTI)

This paper describes different facets of a distribution system power quality monitoring program with analysis of data from 222 different sites during the project`s first year. Information regarding the site selection process is provided. Preliminary results for voltage harmonic distortion and sags are presented from the project`s study population of feeders, including the use of novel power quality analysis techniques.

Sabin, D.D.; Grebe, T.E.; Melhorn, C.J. [Electrotek Concepts, Inc., Knoxville, TN (United States); Sundaram, A. [Electric Power Research Inst., Palo Alto, CA (United States)

1995-12-31T23:59:59.000Z

230

DISTRIBUTED AND COLLABORATIVE SYNTHETIC ENVIRONMENTS  

E-Print Network [OSTI]

1 DISTRIBUTED AND COLLABORATIVE SYNTHETIC ENVIRONMENTS Chandrajit L. Bajaj and Fausto Bernardini with synthetic environments1,2,3,4,5,6 . A synthetic environment system is generally characterized and the synthetic environment generated by the computer. Several degrees of immersion are possible, ranging from

Texas at Austin, University of

231

Power Transmission, Distribution and Plants  

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

Power Transmission, Distribution and Plants A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Abdel-Aal, Radwan E. - Computer Engineering Department, King Fahd University of...

232

Main Injector power distribution system  

SciTech Connect (OSTI)

The paper describes a new power distribution system for Fermilab's Main Injector. The system provides 13.8 kV power to Main Injector accelerator (accelerator and conventional loads) and is capable of providing power to the rest of the laboratory (backfeed system). Design criteria, and features including simulation results are given.

Cezary Jach and Daniel Wolff

2002-06-03T23:59:59.000Z

233

Generalized parton distributions of nuclei  

SciTech Connect (OSTI)

We review recent theoretical results on generalized parton distributions (GPDs) of nuclei, emphasizing the following three roles of nuclear GPDs: (i) complementarity to free proton GPDs, (ii) the enhancement of traditional nuclear effects such nuclear binding, EMC effect, nuclear shadowing, and (iii) an access to novel nuclear effects such as medium modifications of bound nucleons.

Guzey, V. [Theory Center, Thomas Jefferson National Accelerator Facility, Newport News, VA 23606 (United States)

2009-12-17T23:59:59.000Z

234

Complex Dynamics Effect on Distributions  

E-Print Network [OSTI]

In this study, Lagrangian and Hamiltonian systems, which are mathematical models of mechanical systems, were introduced on the horizontal and the vertical distributions of tangent and cotangent bundles. Finally, some geometrical and physical results related to Lagrangian and Hamiltonian dynamical systems were deduced.

Mehmet Tekkoyun

2009-01-09T23:59:59.000Z

235

8, 78477881, 2008 Size distributions  

E-Print Network [OSTI]

ACPD 8, 7847­7881, 2008 Size distributions and sources of WSOC in urban background area H. Timonen, sources and source areas of water-soluble organic carbon in urban background air H. Timonen 1 , S Chemistry Division National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80305-3000, USA

Boyer, Edmond

236

Distributed Termination Detection for Dynamic Systems  

E-Print Network [OSTI]

Distributed Termination Detection for Dynamic Systems D. M. Dhamdhere \\Lambda Sridhar R. Iyer E for detecting the termination of a dis­ tributed computation is presented. The algorithm does not require global are provided. Keywords Distributed algorithms, Distributed computation, Distributed termination, Dynamic

Dhamdhere, Dhananjay Madhav

237

Distributed DBMS Page 6. 1 I Introduction  

E-Print Network [OSTI]

Distributed DBMS Page 6. 1 Outline I Introduction I Background I Distributed DBMS Architecture I Parallel Database Systems Distributed Object DBMS Database Interoperability Current Issues #12;Distributed DBMS Page 6. 2 I Involves: View management Security control Integrity control I Objective

Chen, Yangjun

238

Distributed Energy Fuel Cells Electricity Users  

E-Print Network [OSTI]

Distributed Power Package Unit: Fuel Processing Based On Autothermal Cyclic Reforming Proton Conducting

239

Distribution Integrity Management Plant (DIMP)  

SciTech Connect (OSTI)

This document is the distribution integrity management plan (Plan) for the Los Alamos National Laboratory (LANL) Natural Gas Distribution System. This Plan meets the requirements of 49 CFR Part 192, Subpart P Distribution Integrity Management Programs (DIMP) for the LANL Natural Gas Distribution System. This Plan was developed by reviewing records and interviewing LANL personnel. The records consist of the design, construction, operation and maintenance for the LANL Natural Gas Distribution System. The records system for the LANL Natural Gas Distribution System is limited, so the majority of information is based on the judgment of LANL employees; the maintenance crew, the Corrosion Specialist and the Utilities and Infrastructure (UI) Civil Team Leader. The records used in this report are: Pipeline and Hazardous Materials Safety Administration (PHMSA) 7100.1-1, Report of Main and Service Line Inspection, Natural Gas Leak Survey, Gas Leak Response Report, Gas Leak and Repair Report, and Pipe-to-Soil Recordings. The specific elements of knowledge of the infrastructure used to evaluate each threat and prioritize risks are listed in Sections 6 and 7, Threat Evaluation and Risk Prioritization respectively. This Plan addresses additional information needed and a method for gaining that data over time through normal activities. The processes used for the initial assessment of Threat Evaluation and Risk Prioritization are the methods found in the Simple, Handy Risk-based Integrity Management Plan (SHRIMP{trademark}) software package developed by the American Pipeline and Gas Agency (APGA) Security and Integrity Foundation (SIF). SHRIMP{trademark} uses an index model developed by the consultants and advisors of the SIF. Threat assessment is performed using questions developed by the Gas Piping Technology Company (GPTC) as modified and added to by the SHRIMP{trademark} advisors. This Plan is required to be reviewed every 5 years to be continually refined and improved. Records for all piping system installed after the effective date of this Plan will be captured and retained in the UI records documentation system. Primary Utility Asbuilts are maintained by Utilities Mapping (UMAP) and additional records are maintained on the N drive. Engineering Change Notices (ECNs) are stored on the N drive under configuration management and kept up by Utilities and Infrastructure Division Office (UI-DO). Records include, at a minimum, the location where new piping and appurtenances are installed and the material of which they are constructed.

Gonzales, Jerome F. [Los Alamos National Laboratory

2012-05-07T23:59:59.000Z

240

Antenna structure with distributed strip  

DOE Patents [OSTI]

An antenna comprises electrical conductors arranged to form a radiating element including a folded line configuration and a distributed strip configuration, where the radiating element is in proximity to a ground conductor. The folded line and the distributed strip can be electrically interconnected and substantially coplanar. The ground conductor can be spaced from, and coplanar to, the radiating element, or can alternatively lie in a plane set at an angle to the radiating element. Embodiments of the antenna include conductor patterns formed on a printed wiring board, having a ground plane, spacedly adjacent to and coplanar with the radiating element. Other embodiments of the antenna comprise a ground plane and radiating element on opposed sides of a printed wiring board. Other embodiments of the antenna comprise conductors that can be arranged as free standing "foils". Other embodiments include antennas that are encapsulated into a package containing the antenna.

Rodenbeck, Christopher T. (Albuquerque, NM)

2008-10-21T23:59:59.000Z

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


241

Antenna structure with distributed strip  

DOE Patents [OSTI]

An antenna comprises electrical conductors arranged to form a radiating element including a folded line configuration and a distributed strip configuration, where the radiating element is in proximity to a ground conductor. The folded line and the distributed strip can be electrically interconnected and substantially coplanar. The ground conductor can be spaced from, and coplanar to, the radiating element, or can alternatively lie in a plane set at an angle to the radiating element. Embodiments of the antenna include conductor patterns formed on a printed wiring board, having a ground plane, spacedly adjacent to and coplanar with the radiating element. Other embodiments of the antenna comprise a ground plane and radiating element on opposed sides of a printed wiring board. Other embodiments of the antenna comprise conductors that can be arranged as free standing "foils". Other embodiments include antennas that are encapsulated into a package containing the antenna.

Rodenbeck, Christopher T. (Albuquerque, NM)

2008-03-18T23:59:59.000Z

242

Enhanced distributed energy resource system  

DOE Patents [OSTI]

A power transmission system including a direct current power source electrically connected to a conversion device for converting direct current into alternating current, a conversion device connected to a power distribution system through a junction, an energy storage device capable of producing direct current connected to a converter, where the converter, such as an insulated gate bipolar transistor, converts direct current from an energy storage device into alternating current and supplies the current to the junction and subsequently to the power distribution system. A microprocessor controller, connected to a sampling and feedback module and the converter, determines when the current load is higher than a set threshold value, requiring triggering of the converter to supply supplemental current to the power transmission system.

Atcitty, Stanley (Albuquerque, NM); Clark, Nancy H. (Corrales, NM); Boyes, John D. (Albuquerque, NM); Ranade, Satishkumar J. (Las Cruces, NM)

2007-07-03T23:59:59.000Z

243

Money Distributions in Chaotic Economies  

E-Print Network [OSTI]

This paper considers the ideal gas-like model of trading markets, where each individual is identified as a gas molecule that interacts with others trading in elastic or money-conservative collisions. Traditionally this model introduces different rules of random selection and exchange between pair agents. Real economic transactions are complex but obviously non-random. Consequently, unlike this traditional model, this work implements chaotic elements in the evolution of an economic system. In particular, we use a chaotic signal that breaks the natural pairing symmetry $(i,j)\\Leftrightarrow(j,i)$ of a random gas-like model. As a result of that, it is found that a chaotic market like this can reproduce the referenced wealth distributions observed in real economies (the Gamma, Exponential and Pareto distributions).

Carmen Pellicer-Lostao; Ricardo Lopez-Ruiz

2009-06-10T23:59:59.000Z

244

A current density distribution tool  

E-Print Network [OSTI]

. I. INTRODUCTION Current density distribution is an important consideration for those involved in electrochemical systems and electroplating in particular. In the printed wiring board (PWB) business, great emphasis is placed on the study of current... exist. Numerical techniques on the other hand, are usually easy to implement and are easily applicable to microcomputers. Their disadvantage as with any approximation technique is that the exactness of the results with This document follows the style...

Jagush, Frederic A.

1989-01-01T23:59:59.000Z

245

7, 1275112779, 2007 Vertical distribution  

E-Print Network [OSTI]

. In an urban area there are many buildings, which cause large inhomogeneities in the energy and wind profilesACPD 7, 1275112779, 2007 Vertical distribution of O3 and VOCs in Mexico City E. Velasco et al of Mexico City E. Velasco1,2 , C. Marquez3 , E. Bueno3 , R. M. Bernabe3 , A. Sanchez3 , O. Fentanes 3 , H

Boyer, Edmond

246

Velocity Distributions from Nonextensive Thermodynamics  

E-Print Network [OSTI]

There is no accepted mechanism that explains the equilibrium structures that form in collisionless cosmological N-body simulations. Recent work has identified nonextensive thermodynamics as an innovative approach to the problem. The distribution function that results from adopting this framework has the same form as for polytropes, but the polytropic index is now related to the degree of nonextensiveness. In particular, the nonextensive approach can mimic the equilibrium structure of dark matter density profiles found in simulations. We extend the investigation of this approach to the velocity structures expected from nonextensive thermodynamics. We find that the nonextensive and simulated N-body rms-velocity distributions do not match one another. The nonextensive rms-velocity profile is either monotonically decreasing or displays little radial variation, each of which disagrees with the rms-velocity distributions seen in simulations. We conclude that the currently discussed nonextensive models require further modifications in order to corroborate dark matter halo simulations. (adapted from TeX)

Eric I. Barnes; Liliya L. R. Williams; Arif Babul; Julianne J. Dalcanton

2006-10-05T23:59:59.000Z

247

Using ductwork to improve supply plenum temperature distribution in underfloor air distribution (UFAD) system  

E-Print Network [OSTI]

overhead air distribution design(1). 1.3 Thermal comfortS. Under Floor Air Distribution (UFAD) Design Guide. s.l. :load design tool for underfloor air distribution systems.

Pasut, Wilmer

2011-01-01T23:59:59.000Z

248

The CJ12 parton distributions  

SciTech Connect (OSTI)

Three new sets of next-to-leading order parton distribution functions (PDFs) are presented, determined by global fits to a wide variety of data for hard scattering processes. The analysis includes target mass and higher twist corrections needed for the description of deep-inelastic scattering data at large x and low Q^2, and nuclear corrections for deuterium targets. The PDF sets correspond to three different models for the nuclear effects, and provide a more realistic uncertainty range for the d quark PDF compared with previous fits. Applications to weak boson production at colliders are also discussed.

Accardi, Alberto [JLAB; Owens, Jeff F. [Florida State U.

2013-07-01T23:59:59.000Z

249

Chaotic distributions for relativistic particles  

E-Print Network [OSTI]

We study a modified Kac model where the classical kinetic energy is replaced by an arbitrary energy function $\\phi(v)$, $v\\in\\mathbb{R}$. The aim of this paper is to show that the uniform distribution with respect to the microcanonical measure is $Ce^{-z_0\\phi(v)} $-chaotic, $C,z_0\\in\\mathbb{R}_{+}$. The kinetic energy for relativistic particles is a special case. A generalization to the case $v\\in \\mathbb{R}^d$ which involves conservation momentum is also formally discussed.

Dawan Mustafa; Bernt Wennberg

2015-03-16T23:59:59.000Z

250

Update of MRST parton distributions.  

E-Print Network [OSTI]

knowledge of the partonic structure of the proton is an essential ingredient in the analysis of hard scattering data from pp or pp or ep high energy collisions. Much at- tention has recently been devoted to obtaining reliable uncertainties on the parton... photons than dnV (x) quarks. To a rough approximation, the photon distribution should be ?(x,Q2) = ? j e2j ? 2pi ln(Q2/m2q) ? 1 x dy y P?q(y) qj( x y ,Q2). So there is more photon momentum in the proton than in the neutron due to high-x up quarks radiating...

Thorne, Robert S; Martin, A D; Stirling, W James; Roberts, R G

251

Distributed Energy | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005Department ofDOEDisability Employment POCs DisabilityDistributed Energy

252

ASYMMETRIC SOLAR WIND ELECTRON DISTRIBUTIONS  

SciTech Connect (OSTI)

The present paper provides a possible explanation for the solar wind electron velocity distribution functions possessing asymmetric energetic tails. By numerically solving the electrostatic weak turbulence equations that involve nonlinear interactions among electrons, Langmuir waves, and ion-sound waves, it is shown that different ratios of ion-to-electron temperatures lead to the generation of varying degrees of asymmetric tails. The present finding may be applicable to observations in the solar wind near 1 AU and in other regions of the heliosphere and interplanetary space.

Yoon, Peter H.; Kim, Sunjung; Lee, Junggi; Lee, Junhyun; Park, Jongsun; Park, Kyungsun; Seough, Jungjoon [School of Space Research, Kyung Hee University, Yongin-Si, Gyeonggi-Do 446-701 (Korea, Republic of); Hong, Jinhy [Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 305-701 (Korea, Republic of)

2012-08-20T23:59:59.000Z

253

Distribution Drive | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has beenFfe2fb55-352f-473b-a2dd-50ae8b27f0a6 No revision has Type TermOpenDistributed Generation

254

Heat distribution by natural convection  

SciTech Connect (OSTI)

Natural convection can provide adequate heat distribution in many situtations that arise in buildings. This is appropriate, for example, in passive solar buildings where some rooms tend to be more strongly solar heated than others or to reduce the number of heating units required in a building. Natural airflow and heat transport through doorways and other internal building apertures is predictable and can be accounted for in the design. The nature of natural convection is described, and a design chart is presented appropriate to a simple, single-doorway situation. Natural convective loops that can occur in buildings are described and a few design guidelines are presented.

Balcomb, J.D.

1985-01-01T23:59:59.000Z

255

Courtesy of Sandro Ierovante Distributed by WWW.LENSINC.NET  

E-Print Network [OSTI]

Courtesy of Sandro Ierovante Distributed by WWW.LENSINC.NET #12;Distributed by WWW.LENSINC.NET #12;Distributed by WWW.LENSINC.NET #12;Distributed by WWW.LENSINC.NET #12;Distributed by WWW.LENSINC.NET #12;Distributed by WWW.LENSINC.NET #12;Distributed by WWW.LENSINC.NET #12;Distributed by WWW.LENSINC.NET #12

Kleinfeld, David

256

Lessons learned in modeling Underfloor Air Distribution system  

E-Print Network [OSTI]

Underfloor Air Distribution (UFAD) Design Guide. Atlanta:for design cooling loads in underfloor air distribution (

Lee, Kwang Ho; Schiavon, Stefano; Webster, Tom; Bauman, Fred; Feng, Jingjuan; Hoyt, Tyler

2011-01-01T23:59:59.000Z

257

The urban design of distributed energy resources  

E-Print Network [OSTI]

Distributed energy resources (DERs) are a considerable research focus for cities to reach emissions reduction goals and meet growing energy demand. DERs, consisting of local power plants and distribution infrastructure, ...

Sheehan, Travis (Travis P.)

2012-01-01T23:59:59.000Z

258

DISTRIBUTED SERVICE-ORIENTED SOFTWARE DEVELOPMENT  

E-Print Network [OSTI]

............................................................................9 1.3 Service-Oriented Architecture and ComputingDISTRIBUTED SERVICE-ORIENTED SOFTWARE DEVELOPMENT FFIIRRSSTT EEDDIITTIIOONN SSEECCOONNDD ..................................................................................................................................ix Chapter 1 Introduction to Distributed Service-Oriented Computing

Chen, Yinong

259

Principles of Distributed Data Management in 2020?  

E-Print Network [OSTI]

With the advents of high-speed networks, fast commodity hardware, and the web, distributed data sources have become ubiquitous. The third edition of the \\"Ozsu-Valduriez textbook Principles of Distributed Database Systems [10] reflects the evolution of distributed data management and distributed database systems. In this new edition, the fundamental principles of distributed data management could be still presented based on the three dimensions of earlier editions: distribution, heterogeneity and autonomy of the data sources. In retrospect, the focus on fundamental principles and generic techniques has been useful not only to understand and teach the material, but also to enable an infinite number of variations. The primary application of these generic techniques has been obviously for distributed and parallel DBMS versions. Today, to support the requirements of important data-intensive applications (e.g. social networks, web data analytics, scientific applications, etc.), new distributed data management tech...

Valduriez, Patrick

2011-01-01T23:59:59.000Z

260

Distributed Control of HVAC&R Networks  

E-Print Network [OSTI]

retains a degree of modularitychanging one component does not require changing all controllers. The final contribution is a new distributed optimization algorithm that is rooted in distributed MPC and is especially motivated by HVAC&R systems...

Elliott, Matthew Stuart

2013-07-05T23:59:59.000Z

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


261

Onsite Wastewater Treatment Systems: Spray Distribution System  

E-Print Network [OSTI]

Spray distribution systems for wastewater are much like lawn sprinkler systems, in that they spray treated wastewater over the surface of a yard. This publication explains how spray distribution systems work, what their design requirements are...

Lesikar, Bruce J.

2008-10-23T23:59:59.000Z

262

Coordinated part delivery using distributed planning  

E-Print Network [OSTI]

In this thesis, we develop a distributed mobile robot platform to deliver parts around a model construction site. The platform's robots, specialized into delivery robots and assembly robots, use a distributed coverage ...

Bolger, Adrienne (Adrienne M.)

2010-01-01T23:59:59.000Z

263

Enhancing distributed collaboration using sociometric feedback  

E-Print Network [OSTI]

Distributed collaboration is often more challenging than co-located collaboration as many of the social signals become lost in computer-mediated communication. I propose a system that improves the performance of distributed ...

Kim, Taemie Jung

2011-01-01T23:59:59.000Z

264

Semantic Routed Network for Distributed Search Engines  

E-Print Network [OSTI]

to compare composite meanings for superior search quality. In distributed search engines, for scalability, speed and efficiency, index entries should be systematically distributed across multiple index-server nodes based on the meaning of the objects...

Biswas, Amitava

2011-08-08T23:59:59.000Z

265

Automated Fault Location In Smart Distribution Systems  

E-Print Network [OSTI]

of utilizing a suitable fault location method. As distribution systems are gradually evolving into smart distribution systems, application of more accurate fault location methods based on gathered data from various Intelligent Electronic Devices (IEDs...

Lotfifard, Saeed

2012-10-19T23:59:59.000Z

266

RELIABILITY PLANNING IN DISTRIBUTED ELECTRIC ENERGY SYSTEMS  

E-Print Network [OSTI]

RESILIENCE; OR RELIABILITY SENSITIVITy .. RiskReliability Planning: Preliminary Definitions.Dioision, Ext. 6782 Reliability Planning in Distributed

Kahn, E.

2011-01-01T23:59:59.000Z

267

Vertical Contracts and Mandatory Universal Distribution  

E-Print Network [OSTI]

). The issue of mandat- ing universal distribution (MUD) has arisen in many markets (e.g., movies, video games

Kammen, Daniel M.

268

Distributed Energy Technology Characterization (Desiccant Technologies...  

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

Characterization (Desiccant Technologies), January 2004 Distributed Energy Technology Characterization (Desiccant Technologies), January 2004 The purpose of this report is to...

269

Distributed Energy Technology Simulator: Microturbine Demonstration...  

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

Simulator: Microturbine Demonstration, October 2001 Distributed Energy Technology Simulator: Microturbine Demonstration, October 2001 This 2001 paper discusses the National Rural...

270

The Distribution of ALFALFA Galaxies  

E-Print Network [OSTI]

The ALFALFA blind HI survey will enable a census of the distribution of gas-rich galaxies in the local Universe. Sensitive to an HI mass of 10**7 solar masses at the distance of the Virgo cluster, ALFALFA will probe the smallest objects locally and provide a new consideration of near-field cosmology. Additionally, with a larger, cosmologically significant sample volume and wider bandwidth than previous blind surveys, a much larger number of detections in each mass bin is possible, with adequate angular resolution to eliminate the need for extensive follow-up observations. This increased sensitivity will greatly enhance the utility of cosmological probles in HI. ALFALFA will eventually measure the correlation function of HI selected galaxies in a large local volume. The larger sample and volume size of the ALFALFA dataset will also robustly measure the HI mass function (HIMF). Here, we present the preliminary results on the distribution of local gas-rich galaxies from a first ALFALFA catalog covering 540 deg**...

Martin, Ann M

2007-01-01T23:59:59.000Z

271

The Distribution of ALFALFA Galaxies  

E-Print Network [OSTI]

The ALFALFA blind HI survey will enable a census of the distribution of gas-rich galaxies in the local Universe. Sensitive to an HI mass of 10**7 solar masses at the distance of the Virgo cluster, ALFALFA will probe the smallest objects locally and provide a new consideration of near-field cosmology. Additionally, with a larger, cosmologically significant sample volume and wider bandwidth than previous blind surveys, a much larger number of detections in each mass bin is possible, with adequate angular resolution to eliminate the need for extensive follow-up observations. This increased sensitivity will greatly enhance the utility of cosmological probles in HI. ALFALFA will eventually measure the correlation function of HI selected galaxies in a large local volume. The larger sample and volume size of the ALFALFA dataset will also robustly measure the HI mass function (HIMF). Here, we present the preliminary results on the distribution of local gas-rich galaxies from a first ALFALFA catalog covering 540 deg**2.

Ann M. Martin

2007-07-23T23:59:59.000Z

272

Water Distribution and Removal Model  

SciTech Connect (OSTI)

The design of the Yucca Mountain high level radioactive waste repository depends on the performance of the engineered barrier system (EBS). To support the total system performance assessment (TSPA), the Engineered Barrier System Degradation, Flow, and Transport Process Model Report (EBS PMR) is developed to describe the thermal, mechanical, chemical, hydrological, biological, and radionuclide transport processes within the emplacement drifts, which includes the following major analysis/model reports (AMRs): (1) EBS Water Distribution and Removal (WD&R) Model; (2) EBS Physical and Chemical Environment (P&CE) Model; (3) EBS Radionuclide Transport (EBS RNT) Model; and (4) EBS Multiscale Thermohydrologic (TH) Model. Technical information, including data, analyses, models, software, and supporting documents will be provided to defend the applicability of these models for their intended purpose of evaluating the postclosure performance of the Yucca Mountain repository system. The WD&R model ARM is important to the site recommendation. Water distribution and removal represents one component of the overall EBS. Under some conditions, liquid water will seep into emplacement drifts through fractures in the host rock and move generally downward, potentially contacting waste packages. After waste packages are breached by corrosion, some of this seepage water will contact the waste, dissolve or suspend radionuclides, and ultimately carry radionuclides through the EBS to the near-field host rock. Lateral diversion of liquid water within the drift will occur at the inner drift surface, and more significantly from the operation of engineered structures such as drip shields and the outer surface of waste packages. If most of the seepage flux can be diverted laterally and removed from the drifts before contacting the wastes, the release of radionuclides from the EBS can be controlled, resulting in a proportional reduction in dose release at the accessible environment. The purposes of this WD&R model (CRWMS M&O 2000b) are to quantify and evaluate the distribution and drainage of seepage water within emplacement drifts during the period of compliance for post-closure performance. The model bounds the fraction of water entering the drift that will be prevented from contacting the waste by the combined effects of engineered controls on water distribution and on water removal. For example, water can be removed during pre-closure operation by ventilation and after closure by natural drainage into the fractured rock. Engineered drains could be used, if demonstrated to be necessary and effective, to ensure that adequate drainage capacity is provided. This report provides the screening arguments for certain Features, Events, and Processes (FEPs) that are related to water distribution and removal in the EBS. Applicable acceptance criteria from the Issue Resolution Status Reports (IRSRs) developed by the U.S. Nuclear Regulatory Commission (NRC 1999a; 1999b; 1999c; and 1999d) are also addressed in this document.

Y. Deng; N. Chipman; E.L. Hardin

2005-08-26T23:59:59.000Z

273

Air Distribution Effectiveness for Different Mechanical Ventilation  

E-Print Network [OSTI]

LBNL-62700 Air Distribution Effectiveness for Different Mechanical Ventilation Systems Max H Orlando Lawrence Berkeley National Laboratory is an equal opportunity employer. #12;1 Air Distribution depending on the effectiveness of their air distribution systems and the location of sources and occupants

274

Evolving Distributed Algorithms with Genetic Programming: Election  

E-Print Network [OSTI]

Evolving Distributed Algorithms with Genetic Programming: Election Thomas Weise Distributed Systems Group University of Kassel 34121 Kassel, Germany weise@vs.uni-kassel.de Michael Zapf Distributed Systems Group University of Kassel 34121 Kassel, Germany zapf@vs.uni-kassel.de ABSTRACT In this paper, we

Fernandez, Thomas

275

Tailoring UNITY to Distributed Program Design ?  

E-Print Network [OSTI]

Tailoring UNITY to Distributed Program Design ? Michel Charpentier, Mamoun Filali, Philippe Mauran. As a general framework, UNITY does not offer any specific facility for the design of distributed systems to help the design of distributed systems in UNITY. 1 Introduction UNITY is intended to be a general

Charpentier, Michel

276

Designing Distributed, Real-Time Systems  

E-Print Network [OSTI]

- - Designing Distributed, Real-Time Systems Kevin L. Mills INFT 796 SUMMER 1993 DIRECTED READINGS IN SOFTWARE ENGINEERING WITH DR. H. GOMAA GEORGE MASON UNIVERSITY #12;Designing Distributed, Real-Time Systems problem faced by designers of software systems, and particularly by designers of distributed, real

Mills, Kevin

277

Describing and Analyzing Distributed Software System Designs  

E-Print Network [OSTI]

Describing and Analyzing Distributed Software System Designs GEORGE S. AVRUNIN and JACK C. WILEDEN by applying it to a realistic distributed software-system design problem involving mutual exclusion Additional Key Words and Phrases: Analysis of software design, design notation, distributed mutual exclusion

Avrunin, George S.

278

Tailoring UNITY to Distributed Program Design  

E-Print Network [OSTI]

Tailoring UNITY to Distributed Program Design Michel Charpentier, Mamoun Filali, Philippe Mauran, G. As a general framework, UNITY does not offer any specific facility for the design of distributed systems to help the design of distributed systems in UNITY. 1 Introduction UNITY is intended to be a general

Grigoras, .Romulus

279

Reliable Distributed Computing for Decision Support Systems  

E-Print Network [OSTI]

Reliable Distributed Computing for Decision Support Systems Taha Osman, Andrzej Bargiela Department of application tasks on the currently avail- able computing nodes. Distributed Systems Reliability Due decision-support systems such as water distribution net- works, involving hundreds or even thousands

Bargiela, Andrzej

280

7, 1074310766, 2007 EC size distributions  

E-Print Network [OSTI]

ACPD 7, 10743­10766, 2007 EC size distributions in an urban atmosphere in China Xiao-Feng Huang a Creative Commons License. Atmospheric Chemistry and Physics Discussions Size distributions of elemental Correspondence to: Jian Zhen Yu (chjianyu@ust.hk) 10743 #12;ACPD 7, 10743­10766, 2007 EC size distributions

Boyer, Edmond

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


281

Communication and Computation in Distributed CSP Algorithms  

E-Print Network [OSTI]

Communication and Computation in Distributed CSP Algorithms C`esar Fern`andez1 , Ram´on B´ejar1 in the context of networked distributed systems. In order to study the performance of Distributed CSP (DisCSP consider two complete DisCSP algorithms: asynchronous backtracking (ABT) and asynchronous weak commitment

Krishnamachari, Bhaskar

282

Weighted Marshall-Olkin Bivariate Exponential Distribution  

E-Print Network [OSTI]

Weighted Marshall-Olkin Bivariate Exponential Distribution Ahad Jamalizadeh & Debasis Kundu of weighted Marshall-Olkin bivariate exponential distribu- tions. This new singular distribution has of this paper is to introduce a weighted Marshall-Olkin bivariate exponential (WMOBE) distribution, using

Kundu, Debasis

283

Electronic Document Distribution N. F. Maxemchuk  

E-Print Network [OSTI]

Electronic Document Distribution N. F. Maxemchuk AT&T Bell Laboratories Murray hill, New Jersey expensive and more generally available. It is now possible to electronically distribute customized version. A major obstacle to the use of electronic distribution is the ease of copying and redistributing

Maxemchuk, Nicholas F.

284

Simulation and analysis of distributed systems in Francesco Calzolai and Michele Loreti  

E-Print Network [OSTI]

Klaim systems we use SAM (Stochastic Analyser for Mobility). This is a command-line tool that provideKlaim is a stochastic extension of Klaim specifically thought to fa- cilitate the incorporation of random phenomena of random phenomena in models for network- aware computing a stochastic extension of Klaim [8,4], named Sto

Boyer, Edmond

285

Cooperative Fault Tolerant Distributed Computing  

SciTech Connect (OSTI)

HARNESS was proposed as a system that combined the best of emerging technologies found in current distributed computing research and commercial products into a very flexible, dynamically adaptable framework that could be used by applications to allow them to evolve and better handle their execution environment. The HARNESS system was designed using the considerable experience from previous projects such as PVM, MPI, IceT and Cumulvs. As such, the system was designed to avoid any of the common problems found with using these current systems, such as no single point of failure, ability to survive machine, node and software failures. Additional features included improved inter-component connectivity, with full support for dynamic down loading of addition components at run-time thus reducing the stress on application developers to build in all the libraries they need in advance.

Fagg, Graham E.

2006-03-15T23:59:59.000Z

286

Heat distribution by natural convection  

SciTech Connect (OSTI)

Natural convection can provide adequate heat distribution in many situations that arise in buildings. This is appropriate, for example, in passive solar buildings where some rooms tend to be more strongly solar heated than others. Natural convection can also be used to reduce the number of auxiliary heating units required in a building. Natural airflow and heat transport through doorways and other internal building apertures are predictable and can be accounted for in the design. The nature of natural convection is described, and a design chart is presented appropriate to a simple, single-doorway situation. Experimental results are summarized based on the monitoring of 15 passive solar buildings which employ a wide variety of geometrical configurations including natural convective loops.

Balcomb, J.D.

1985-01-01T23:59:59.000Z

287

Bernstein instability driven by thermal ring distribution  

SciTech Connect (OSTI)

The classic Bernstein waves may be intimately related to banded emissions detected in laboratory plasmas, terrestrial, and other planetary magnetospheres. However, the customary discussion of the Bernstein wave is based upon isotropic thermal velocity distribution function. In order to understand how such waves can be excited, one needs an emission mechanism, i.e., an instability. In non-relativistic collision-less plasmas, the only known Bernstein wave instability is that associated with a cold perpendicular velocity ring distribution function. However, cold ring distribution is highly idealized. The present Brief Communication generalizes the cold ring distribution model to include thermal spread, so that the Bernstein-ring instability is described by a more realistic electron distribution function, with which the stabilization by thermal spread associated with the ring distribution is demonstrated. The present findings imply that the excitation of Bernstein waves requires a sufficiently high perpendicular velocity gradient associated with the electron distribution function.

Yoon, Peter H., E-mail: yoonp@umd.edu [Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742 (United States); School of Space Research, Kyung Hee University, Yongin-Si, Gyeonggi-Do 446-701 (Korea, Republic of); Hadi, Fazal; Qamar, Anisa [Institute of Physics and Electronics, University of Peshawar, Peshawar 25000 (Pakistan)

2014-07-15T23:59:59.000Z

288

Nonlinear DSTATCOM controller design for distribution network with distributed generation to enhance voltage stability  

E-Print Network [OSTI]

Nonlinear DSTATCOM controller design for distribution network with distributed generation Accepted 19 June 2013 Keywords: Distributed generation Distribution network DSATACOM Partial feedback linearization Voltage control a b s t r a c t This paper presents a nonlinear controller design for a DSTATCOM

Pota, Himanshu Roy

289

Cold Air Distribution in Office Buildings: Technology Assessment for California  

E-Print Network [OSTI]

Field Evaluation of Cold Air Distribution Systems. EPRIand J.S. Elleson. 1988. Cold Air Distribution Design Guide.Field Evaluation of a Cold Air Distribution System. EPRI

Bauman, F.S.

2008-01-01T23:59:59.000Z

290

LO Generation and Distribution for 60GHz Phased Array Transceivers  

E-Print Network [OSTI]

goal of the LO distribution network design was minimizing7. Given a distribution impedance, Z o , design an input5. LO DISTRIBUTION Mixer LO Buffer Design Methodology The

Marcu, Cristian

2011-01-01T23:59:59.000Z

291

ANALYSIS AND APPLICATION OF INDUCTANCE IN CLOCK DISTRIBUTION NETWORKS  

E-Print Network [OSTI]

Distribution Network Background 2.1 Clock Network DesignClock distribution techniques for low-EMI design. Springerclock distribution in high-performance designs due to their

Hu, Xuchu

2012-01-01T23:59:59.000Z

292

A comparison between two underfloor air distribution (UFAD) design tools  

E-Print Network [OSTI]

TWO UNDERFLOOR AIR DISTRIBUTION (UFAD) DESIGN TOOLS Bin CHENunderfloor air distribution (UFAD) design tools (ASHRAE RP-air distribution (UFAD), Cooling load, Design tool, HVAC

Chen, Bin; Schiavon, Stefano; Bauman, Fred S; Chen, Qingyan

2014-01-01T23:59:59.000Z

293

Assessing the Usefulness of Distributed Measurements in the Smart Grid  

E-Print Network [OSTI]

greater reliability in distribution systems involveReliability and Failure Diagnosis in Distribution Systems,"Reliability Data and Networking At present, the major push in distribution system

Framhein, Theodore Anthony

2012-01-01T23:59:59.000Z

294

Low jitter RF distribution system  

DOE Patents [OSTI]

A timing signal distribution system includes an optical frequency stabilized laser signal amplitude modulated at an rf frequency. A transmitter box transmits a first portion of the laser signal and receive a modified optical signal, and outputs a second portion of the laser signal and a portion of the modified optical signal. A first optical fiber carries the first laser signal portion and the modified optical signal, and a second optical fiber carries the second portion of the laser signal and the returned modified optical signal. A receiver box receives the first laser signal portion, shifts the frequency of the first laser signal portion outputs the modified optical signal, and outputs an electrical signal on the basis of the laser signal. A detector at the end of the second optical fiber outputs a signal based on the modified optical signal. An optical delay sensing circuit outputs a data signal based on the detected modified optical signal. An rf phase detect and correct signal circuit outputs a signal corresponding to a phase stabilized rf signal based on the data signal and the frequency received from the receiver box.

Wilcox, Russell; Doolittle, Lawrence; Huang, Gang

2012-09-18T23:59:59.000Z

295

The Tsallis Distribution at Large Transverse Momenta  

E-Print Network [OSTI]

Fits to the transverse momentum distributions of charged particles produced in p - p collisions at LHC energies based on the Tsallis distribution have been shown to work over 14 orders of magnitude. Two versions of the Tsallis distribution are compared and discussed, the thermodynamically consistent version leads to a temperature of T = 74 +/- 13 MeV at the highest beam energy, a result which is in agreement with previous analyses done with lower transverse momentum data.

Azmi, M D

2015-01-01T23:59:59.000Z

296

UNM engineering fa l l 2 0 0 8  

E-Print Network [OSTI]

Tamara Williams writing Megan Fleming Writing & Creative Services and Tamara Williams, UNM Design Brian 2­4, 6, 8, 9, 11, 12, and back cover). Chris Corrie (inside front cover and page 14). Jeff Winking

New Mexico, University of

297

adc ra fa: Topics by E-print Network  

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

Grant Name, Budget Number Prepare grants materials for submission Prepare materials for experimental use Keep accurate records Borenstein, Elhanan 289 Two...

298

innovative research fa l l 2 0 0 6  

E-Print Network [OSTI]

, to make fuel cells, to cleanly liquefy coal, and to meet the dramatically increasing global demand of the Journal of Catalysis,two editions of the Handbook of Heterogeneous Catalysis, as well as a special issue control, methane com- bustion, selective hydrogenation, Fischer- Tropsch synthesis,methanol steam

New Mexico, University of

299

math.FA/9810131 Compact endomorphisms of H 1 (D)  

E-Print Network [OSTI]

, is a subset of MH 1 for which there exists a continuous bijection Lm : D ! P (m) such that Lm (0) = m and ?? f(Lm (z)) is analytic on D for each f 2 H 1 (D). Moreover, the map Lm has the form Lm (z) = w \\Lambda lim z + z ff 1 + z ff z for some net z ff ! m in the w*topology, whence ?? f (Lm (z)) = limf( z + z ff 1

Feinstein, Joel

300

innovative research fa l l 2 0 0 8  

E-Print Network [OSTI]

in research sponsored by numerous federal agencies. With his long history of support from the Air Force by the students of Electrical and Computer Engineering Professor Rafael Fierro, a new collaborator of Professor

New Mexico, University of

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


301

fa/t-mmmxaivmfr' NOM Technical Report NMFS SSRF-692  

E-Print Network [OSTI]

construction subsidies. It collects, analyzes, and publishes statistics on various phases of the industry industry through marketing ser\\'ice and economic analysis programs, and mortgage insurance and vessel 1963 to June 1965. By Gunter R. Seckel. June 1970, iii + 66 pp.. 5 figs. 636. Oil pollution on Wake

302

innovative research fa l l 2 0 0 7  

E-Print Network [OSTI]

in the development of electrocatalysts for fuel cells, new fuel cell designs and, particularly, biofuel cells is fueling a renaissance in biosensors, enzymatic fuel cells, and implantable devices that one day may, industrially, and socially fresh and relevant. A true engineer, his carefully optimized, well

New Mexico, University of

303

FA L L 2 012 TABLE OF CONTENTS  

E-Print Network [OSTI]

..............................................14 E. 72-Hour Liberty Request Procedures ...15 F. Permissive TAD

304

c3fa52728ece 9. Sustainable cooling  

E-Print Network [OSTI]

.co.uk/energy/ cos0 QQ Lamberts Law This requires cos(), ww.brighton-web which in turn is de- pendent on location.co.uk/energy/ ii cossinsincos the azimuth angle of the plane ww.brighton-web coscoscoscos cossincossin p.co.uk/energy/ 6364.1 07995.9650572.0cos 1 AM This is due to gases and particles that absorb heat ww.brighton-web

Zevenhoven, Ron

305

innovative research fa l l 2 0 0 6  

E-Print Network [OSTI]

into larger devices. Sol-Gels and Aerogels In his early post-graduate work (he grad- uated from Rutgers

New Mexico, University of

306

Joining Technology Thomas W. Eagar, FA$M (1989)  

E-Print Network [OSTI]

. A revolution in arc-welding power-supply technology will occur due to the use of new inverter of empirical-models building before the capabilities of these new power supplies are used to their full extent will increase steadily, driven as much by a shortage of skilled labor as by new technologies. The most

Eagar, Thomas W.

307

UNM engineering fa l l 2 0 0 7  

E-Print Network [OSTI]

program for K-12 students. Each of those efforts supports the CBME's goal of improving New Mexico in an oil emulsion and used for tests. Once the droplets are floating in the emulsion, Edwards uses to force oil and water through separate channels. The droplets form where the channels intersect. Petsev

New Mexico, University of

308

UNM engineering Fa l l 2 0 0 9  

E-Print Network [OSTI]

to keep us safe or to monitor our health, and using computer graphics to improve the way we convey visual properties to the intersecting areas of energy, the environment, and transportation. We're proud of our Transforming graphics for all Pradeep Sen's research on computer graphics, visualization, and gaming 08 Mighty

New Mexico, University of

309

FA 3: Improving Reuse and Recycling | Critical Materials Institute  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicy andExsolution Enhanced OilExtracting theExtremeM ^ FF.

310

Feng Fa Science and Technology | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpen Energy InformationInformation Royalty Management ActFeng

311

Oil distribution in potato slices during frying .  

E-Print Network [OSTI]

??The objective of this research was to study the kinetics of oil absorption and distribution in the structure of potato slices during frying, considering the (more)

Cocio, Claudia

2008-01-01T23:59:59.000Z

312

Distributed computing and nuclear reactor analysis  

SciTech Connect (OSTI)

Large-scale scientific and engineering calculations for nuclear reactor analysis can now be carried out effectively in a distributed computing environment, at costs far lower than for traditional mainframes. The distributed computing environment must include support for traditional system services, such as a queuing system for batch work, reliable filesystem backups, and parallel processing capabilities for large jobs. All ANL computer codes for reactor analysis have been adapted successfully to a distributed system based on workstations and X-terminals. Distributed parallel processing has been demonstrated to be effective for long-running Monte Carlo calculations.

Brown, F.B.; Derstine, K.L.; Blomquist, R.N.

1994-03-01T23:59:59.000Z

313

Static Consistency Checking for Distributed Specifications  

E-Print Network [OSTI]

Static Consistency Checking for Distributed Specifications Christian Nentwich, Wolfgang Emmerich, UK {c.nentwich,w.emmerich,a.finkelstein}@cs.ucl.ac.uk Abstract Software engineers building a complex

Finkelstein, Anthony

314

Optimization Online - Communication-Efficient Distributed ...  

E-Print Network [OSTI]

Jan 5, 2015 ... Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss. Yuchen Zhang(yuczhang ***at*** eecs.berkeley.edu)

Yuchen Zhang

2015-01-05T23:59:59.000Z

315

Stationary distributions of continuous time Markov chains  

E-Print Network [OSTI]

Apr 13, 2012 ... stationary distribution as the limiting fraction of time spent in states. 1 Stationary measures in continuous time. The following theorem is an...

2012-04-13T23:59:59.000Z

316

Passive containment cooling water distribution device  

DOE Patents [OSTI]

A passive containment cooling system for a nuclear reactor containment vessel. Disclosed is a cooling water distribution system for introducing cooling water by gravity uniformly over the outer surface of a steel containment vessel using a series of radial guide elements and cascading weir boxes to collect and then distribute the cooling water into a series of distribution areas through a plurality of cascading weirs. The cooling water is then uniformly distributed over the curved surface by a plurality of weir notches in the face plate of the weir box.

Conway, Lawrence E. (Hookstown, PA); Fanto, Susan V. (Plum Borough, PA)

1994-01-01T23:59:59.000Z

317

Document management guidelines for distributed project networks  

E-Print Network [OSTI]

This paper provides the project engineer with guidelines or a checklist on tasks that must be considered, defined and documented before the project can successfully implement a document management system in geographically distributed project environment. Topics ranging from configuration management, approval process, document types, user administration and document naming are covered. The underlying cases of the paper are that of CERN (European Laboratory for Particle Physics) and its latest accelerator project, together with the Nordisk Industrifond -funded Connecting Distributed Competencies (NI#: 98082) project, with a focus on distributed shipbuilding processes. Keywords: distributed project management, product data management, networking, document management, virtual workspaces

Hameri, A P; Himyr, Nils-Joar

1999-01-01T23:59:59.000Z

318

Natural Gas Transmission and Distribution Module  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and...

319

Natural Gas Transmission and Distribution Module  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and...

320

Natural Gas Transmission and Distribution Module This  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and...

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


321

Adjustable Robust Parameter Design with Unknown Distributions  

E-Print Network [OSTI]

Mar 27, 2013 ... Adjustable Robust Parameter Design with Unknown Distributions. ihsan Yanikoglu(i.yanikoglu ***at*** uvt.nl) Dick den Hertog(d.denhertog...

ihsan Yanikoglu

2013-03-27T23:59:59.000Z

322

Distributed Generation Operational Reliability and Availability...  

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

Reliability and Availability Database, Final Report, January 2004 Distributed Generation Operational Reliability and Availability Database, Final Report, January 2004 This final...

323

Distributed Energy Resources for Carbon Emissions Mitigation  

E-Print Network [OSTI]

carbon tax, combined heat and power, distributed energyuseful heat in combined heat and power systems, thermally-fossil-fuel based combined heat and power (CHP), thermally-

Firestone, Ryan; Marnay, Chris

2008-01-01T23:59:59.000Z

324

Building a Smarter Distribution System in Pennsylvania  

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

Development of an advanced distribution management system (DMS) software is at the heart of the project. The DMS monitors and controls all of the smart devices being installed...

325

Sandia National Laboratories: Distribution Grid Integration  

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

Energy Supply Transformation Needed On February 20, 2013, in DETL, Distribution Grid Integration, Energy, Energy Assurance, Energy Surety, Grid Integration, Infrastructure...

326

Protecting Intelligent Distributed Power Grids Against Cyber...  

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

distribution, IT networks, and control systems-that use automated data analysis and demand response capabilities to increase system functionality, efficiency, and...

327

Integration of Demand Side Management, Distributed Generation...  

Open Energy Info (EERE)

integration of energy efficiency, distributed generation, renewable energy resources and energy storage technologies, both locally and globally, to maximize the value of the...

328

Distributed Bio-Oil Reforming (Presentation)  

SciTech Connect (OSTI)

This presentation by Bob Evans at the 2007 DOE Hydrogen Program Annual Merit Review Meeting provides information about NREL's distributed bio-oil reforming efforts.

Evans, R. J.; Czernik, S.; French, R.; Ratcliff, M.; Marda, J.; Dean, A. M.

2007-05-15T23:59:59.000Z

329

Optimization Online - Distributionally Robust Convex Optimization  

E-Print Network [OSTI]

Feb 4, 2013 ... Abstract: Distributionally robust optimization is a paradigm for decision-making under uncertainty where the uncertain problem data is governed...

Wolfram Wiesemann

2013-02-04T23:59:59.000Z

330

Spin dependent parton distributions and structure functions  

SciTech Connect (OSTI)

Nuclear parton distributions and structure functions are determined in an effective chiral quark theory. We also discuss an extension of our model to fragmentation functions.

W. Bentz; I. C. Cloet; T. Ito; A. W. Thomas; K. Yazaki

2007-09-10T23:59:59.000Z

331

Distributed Energy Systems Integration Group (Fact Sheet)  

SciTech Connect (OSTI)

Factsheet developed to describe the activites of the Distributed Energy Systems Integration Group within NREL's Electricity, Resources, and Buildings Systems Integration center.

Not Available

2009-10-01T23:59:59.000Z

332

Sandia National Laboratories: Distribution Grid Integration  

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

Systems Symposium On April 15, 2014, in Concentrating Solar Power, Distribution Grid Integration, Energy, Facilities, Grid Integration, News, News & Events, Photovoltaic,...

333

Networked Loads in the Distribution Grid  

E-Print Network [OSTI]

Lu, and Deborah A. Frincke. Smart-Grid Security Issues. IEEELoads in the Distribution Grid Zhifang Wang ? , Xiao Li ,Transformer sensors Grid Cyber system Cooling

Wang, Zhifang; Li, Xiao; Muthukumar, Vishak; Scaglione, Anna; Peisert, Sean; McParland, Chuck

2012-01-01T23:59:59.000Z

334

Sandia National Laboratories: Distribution Grid Integration  

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

Current switches have been inefficient and ... ECIS-Princeton Power Systems, Inc.: Demand Response Inverter On March 19, 2013, in DETL, Distribution Grid Integration,...

335

RELIABILITY PLANNING IN DISTRIBUTED ELECTRIC ENERGY SYSTEMS  

E-Print Network [OSTI]

and deal only with solar cogeneration units that are assumedand Distributed. cogeneration). These provide just underparameters. as conventional cogeneration units. technologies

Kahn, E.

2011-01-01T23:59:59.000Z

336

Cathode power distribution system and method of using the same for power distribution  

DOE Patents [OSTI]

Embodiments include a cathode power distribution system and/or method of using the same for power distribution. The cathode power distribution system includes a plurality of cathode assemblies. Each cathode assembly of the plurality of cathode assemblies includes a plurality of cathode rods. The system also includes a plurality of bus bars configured to distribute current to each of the plurality of cathode assemblies. The plurality of bus bars include a first bus bar configured to distribute the current to first ends of the plurality of cathode assemblies and a second bus bar configured to distribute the current to second ends of the plurality of cathode assemblies.

Williamson, Mark A; Wiedmeyer, Stanley G; Koehl, Eugene R; Bailey, James L; Willit, James L; Barnes, Laurel A; Blaskovitz, Robert J

2014-11-11T23:59:59.000Z

337

Architecture induced by distributed backstepping design Mihailo R. Jovanovic  

E-Print Network [OSTI]

Architecture induced by distributed backstepping design Mihailo R. Jovanovi´c jmihailo architecture induced by distributed backstepping design? We demonstrate that distributed backstepping design be designed. Index Terms-- Systems on Lattices; Distributed Back- stepping Design; Controller Architecture. I

Jovanovic, Mihailo

338

NEMA Distribution Transformers, CCE Overview and Update presentation...  

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

Distribution Transformers, CCE Overview and Update presentation, dated 05242011 NEMA Distribution Transformers, CCE Overview and Update presentation, dated 05242011 This...

339

arbitrarily distributed samples: Topics by E-print Network  

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

Distributed Transaction Management Parallel Database Systems Distributed Object DBMS Chen, Yangjun 405 Quantum Metropolis Sampling CERN Preprints Summary: Quantum...

340

alters mitochondrial distribution: Topics by E-print Network  

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

Distributed Transaction Management Parallel Database Systems Distributed Object DBMS Chen, Yangjun 286 Phylogeny, Recombination, and Mechanisms of Stepwise Mitochondrial...

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


341

Voices of Experience | Insights into Advanced Distribution Management...  

Office of Environmental Management (EM)

Voices of Experience | Insights into Advanced Distribution Management Systems (February 2015) Voices of Experience | Insights into Advanced Distribution Management Systems...

342

Data:63015fdd-5098-48fa-b416-6444efb83fa9 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has been approved fore6e8eee44 No revision has been8efe6555aea3 No

343

THE JOHNS HOPKINS UNIVERSITY ROYALTY DISTRIBUTION POLICY  

E-Print Network [OSTI]

1 THE JOHNS HOPKINS UNIVERSITY ROYALTY DISTRIBUTION POLICY On April 2, 2001, the Johns Hopkins University Board of Trustees approved a revision to the distribution formula for royalty and equity from derived from inventions and to be performed by faculty inventors who receive royalty for sales

Ghosh, Somnath

344

Prognostics for the Maintenance of Distributed Systems  

E-Print Network [OSTI]

but also higher level function prognosis. I. INTRODUCTION In the classical case, preventive maintenance of preventive maintenance for complex systems. In this sense, a distributed system can be split down into a setPrognostics for the Maintenance of Distributed Systems Pauline Ribot, Yannick Pencol´e and Michel

Pencolé, Yannick

345

VAXclusters: A Closely-Coupled Distributed System  

E-Print Network [OSTI]

of VAX computers that operate as a single system. To achieve performance in a multicomputer environment designed. The software is a distributed version of the VAX/VMS operating system that uses a distributed efficient, for example, capable of sending and receiving 3000 messages per second on a VAX-11

Anderson, Richard

346

Dagstuhl Seminar 10141: Distributed Usage Control  

E-Print Network [OSTI]

Dagstuhl Seminar 10141: Distributed Usage Control Sandro Etalle1 , Alexander Pretschner2 , Ravi Sandhu3 , Marianne Winslett4 1 University of Twente, The Netherlands 2 Karlsruhe Institute of Technology Dagstuhl seminar 10141 on Distributed Usage Control. Keywords: Usage control, access control, data

Sandhu, Ravi

347

Fuel-Efficient Distributed Control for  

E-Print Network [OSTI]

Fuel-Efficient Distributed Control for Heavy Duty Vehicle Platooning ASSAD ALAM Licentiate Thesis in Automatic Control Stockholm, Sweden 2011 #12;Fuel-Efficient Distributed Control for Heavy Duty Vehicle, vehicles can semi-autonomously travel at short intermediate spacings, effectively reducing congestion

Johansson, Karl Henrik

348

The Beta distribution approach PAULA TATARU  

E-Print Network [OSTI]

Betaspikes The Beta distribution approach PAULA TATARU AARHUS UNIVERSITY Bioinformatics Research, mutation and selection Joint work with Asger Hobolth and Thomas Bataillon #12;Allele frequencies: the Beta;Allele frequencies: the Beta distribution approach Paula Tataru paula@birc.au.dk AARHUS UNIVERSITY

Schierup, Mikkel Heide

349

Hydrogen Pathway Cost Distributions Jim Uihlein  

E-Print Network [OSTI]

Components Feedstock Production Delivery Total Delivered Hydrogen Cost Biomass Central Pipeline Distribution produce hydrogen at 300 psi · Liquefaction or pipeline compression included in delivery · Delivery costsHydrogen Pathway Cost Distributions Jim Uihlein Fuel Pathways Integration Tech Team January 25

350

Testing k-wise independent distributions  

E-Print Network [OSTI]

A probability distribution over {0, 1}' is k-wise independent if its restriction to any k coordinates is uniform. More generally, a discrete distribution D over E1 x ... x E, is called (non-uniform) k-wise independent if ...

Xie, Ning, Ph. D. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

351

Hybrid solar lighting distribution systems and components  

DOE Patents [OSTI]

A hybrid solar lighting distribution system and components having at least one hybrid solar concentrator, at least one fiber receiver, at least one hybrid luminaire, and a light distribution system operably connected to each hybrid solar concentrator and each hybrid luminaire. A controller operates all components.

Muhs, Jeffrey D. (Lenoir City, TN); Earl, Dennis D. (Knoxville, TN); Beshears, David L. (Knoxville, TN); Maxey, Lonnie C. (Powell, TN); Jordan, John K. (Oak Ridge, TN); Lind, Randall F. (Lenoir City, TN)

2011-07-05T23:59:59.000Z

352

WATER DISTRIBUTION SYSTEM OPERATION: APPLICATION OF  

E-Print Network [OSTI]

CHAPTER 5 WATER DISTRIBUTION SYSTEM OPERATION: APPLICATION OF SIMULATED ANNEALING Fred E. Goldman Arizona State University, Tempe, Arizona 5.1 INTRODUCTION The operation of water distribution systems affects the water quality in these systems. EPA regulations require that water quality be maintained

Mays, Larry W.

353

Distributed Probabilistic Model-Building Genetic Algorithm  

E-Print Network [OSTI]

is considered by Principal Component Analysis (PCA) when the off- springs are generated. The island modelDistributed Probabilistic Model-Building Genetic Algorithm Tomoyuki Hiroyasu1 , Mitsunori Miki1), Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation among the design variables

Dongarra, Jack

354

Stone Age Distributed Computing (Extended Abstract)  

E-Print Network [OSTI]

on the first page. Copyrights for components of this work owned by others than ACM must be honored. AbstractingStone Age Distributed Computing (Extended Abstract) Yuval Emek Distributed Computing Group ETH wattenhofer@ethz.ch ABSTRACT A new model that depicts a network of randomized finite state machines operating

355

Nested Autonomy Prototype for Distributed Undersea Sensing  

E-Print Network [OSTI]

MOOS-IvP Nested Autonomy Prototype for Distributed Undersea Sensing User's Guide H. Schmidt, M Autonomous Network Architecture, based on the Nested Autonomy paradigm, as implemented and operated Nested Autonomy Paradigm for Distributed Undersea Sensing 11 2 Autonomy in Communication

Schmidt, Henrik

356

Distributed Generation and Renewable Energy in  

E-Print Network [OSTI]

Distributed Generation and Renewable Energy in the Electric Cooperative Sector Ed Torrero Cooperative Research Network (CRN) National Rural Electric Cooperative Association September 22, 2004 #12 in Durango, CO Plug Power Fuel Cell at Fort Jackson, SC LoganEnergy #12;Power Supply Program Distributed

357

National Radiobiology Archives Distributed Access user's manual  

SciTech Connect (OSTI)

This User's Manual describes installation and use of the National Radiobiology Archives (NRA) Distributed Access package. The package consists of a distributed subset of information representative of the NRA databases and database access software which provide an introduction to the scope and style of the NRA Information Systems.

Watson, C.; Smith, S. (Pacific Northwest Lab., Richland, WA (United States)); Prather, J. (Linfield Coll., McMinnville, OR (United States))

1991-11-01T23:59:59.000Z

358

Location Privacy and the Personal Distributed Environment  

E-Print Network [OSTI]

Location Privacy and the Personal Distributed Environment Robert C Atkinson, Swee Keow Goo, James-- The Personal Distributed Environment is a new concept being developed within the Mobile VCE Core 3 research, wherever their location: ubiquitous access. Devices are co-ordinated by Device Management Entities (DMEs

Atkinson, Robert C

359

Generalized binomial distribution in photon statistics  

E-Print Network [OSTI]

The photon-number distribution between two parts of a given volume is found for an arbitrary photon statistics. This problem is related to the interaction of a light beam with a macroscopic device, for example a diaphragm, that separates the photon flux into two parts with known probabilities. To solve this problem, a Generalized Binomial Distribution (GBD) is derived that is applicable to an arbitrary photon statistics satisfying probability convolution equations. It is shown that if photons obey Poisson statistics then the GBD is reduced to the ordinary binomial distribution, whereas in the case of Bose-Einstein statistics the GBD is reduced to the Polya distribution. In this case, the photon spatial distribution depends on the phase-space volume occupied by the photons. This result involves a photon bunching effect, or collective behavior of photons that sharply differs from the behavior of classical particles. It is shown that the photon bunching effect looks similar to the quantum interference effect.

Aleksey Ilyin

2014-11-20T23:59:59.000Z

360

Voltage Control of Distribution Networks with Distributed Generation using Reactive Power  

E-Print Network [OSTI]

Voltage Control of Distribution Networks with Distributed Generation using Reactive Power to control voltage of distribution networks with DG using reactive power compensation approach. In this paper profile within the specified limits, it is essential to regulate the reactive power of the compensators

Pota, Himanshu Roy

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


361

Loss Reduction of Power Distribution Network Using Optimum Size and Location of Distributed  

E-Print Network [OSTI]

Generation Adnan Anwar, Student Member, IEEE, and H. R. Pota, Member, IEEE Abstract--Distributed generation be reduced significantly. Index Terms--Distributed generation, Optimum size, Optimum location, Power loss directly to utility distribution system. The insulation level of the machines may not synchronize

Pota, Himanshu Roy

362

State Electricity Regulatory Policy and Distributed Resources: Accommodating Distributed Resources in Wholesale Markets  

SciTech Connect (OSTI)

Distributed resources can provide cost-effective reliability and energy services - in many cases, obviating the need for more expensive investments in wires and central station electricity generating facilities. Given the unique features of distributed resources, the challenge facing policymakers today is how to restructure wholesale markets for electricity and related services so as to reveal the full value that distributed resources can provide to the electric power system (utility grid). This report looks at the functions that distributed resources can perform and examines the barriers to them. It then identifies a series of policy and operational approaches to promoting DR in wholesale markets. This report is one in the State Electricity Regulatory Policy and Distributed Resources series developed under contract to NREL (see Annual Technical Status Report of the Regulatory Assistance Project: September 2000-September 2001, NREL/SR-560-32733). Other titles in this series are: (1) Distributed Resource Distribution Credit Pilot Programs - Revealing the Value to Consumers and Vendors, NREL/SR-560-32499; (2) Distributed Resources and Electric System Reliability, NREL/SR-560-32498; (3) Distribution System Cost Methodologies for Distributed Generation, NREL/SR-560-32500; (4) Distribution System Cost Methodologies for Distributed Generation Appendices, NREL/SR-560-32501

Weston, F.; Harrington, C.; Moskovitz, D.; Shirley, W.; Cowart, R.; Sedano, R.

2002-10-01T23:59:59.000Z

363

SAMPLE PATENT INCOME DISTRIBUTIONS (as % of Net Income available for distribution)  

E-Print Network [OSTI]

SAMPLE PATENT INCOME DISTRIBUTIONS (as % of Net Income available for distribution) (Old Policy Outstanding Legal Costs % OF NET INCOME AVAILABLE FOR DISTRIBUTIONS PATENTS OLD POLICY CURRENT POLICY Inventor (Patent) Share 42.5% * 35% Research Share to LAB 4.6% 9.0% Research Share to Department or Home Academic

Fainman, Yeshaiahu

364

Multicriteria optimization of the spatial dose distribution  

SciTech Connect (OSTI)

Purpose: Treatment planning for radiation therapy involves trade-offs with respect to different clinical goals. Typically, the dose distribution is evaluated based on few statistics and dosevolume histograms. Particularly for stereotactic treatments, the spatial dose distribution represents further criteria, e.g., when considering the gradient between subregions of volumes of interest. The authors have studied how to consider the spatial dose distribution using a multicriteria optimization approach.Methods: The authors have extended a stepwise multicriteria optimization approach to include criteria with respect to the local dose distribution. Based on a three-dimensional visualization of the dose the authors use a software tool allowing interaction with the dose distribution to map objectives with respect to its shape to a constrained optimization problem. Similarly, conflicting criteria are highlighted and the planner decides if and where to relax the shape of the dose distribution.Results: To demonstrate the potential of spatial multicriteria optimization, the tool was applied to a prostate and meningioma case. For the prostate case, local sparing of the rectal wall and shaping of a boost volume are achieved through local relaxations and while maintaining the remaining dose distribution. For the meningioma, target coverage is improved by compromising low dose conformality toward noncritical structures. A comparison of dosevolume histograms illustrates the importance of spatial information for achieving the trade-offs.Conclusions: The results show that it is possible to consider the location of conflicting criteria during treatment planning. Particularly, it is possible to conserve already achieved goals with respect to the dose distribution, to visualize potential trade-offs, and to relax constraints locally. Hence, the proposed approach facilitates a systematic exploration of the optimal shape of the dose distribution.

Schlaefer, Alexander [Medical Robotics Group, Universitt zu Lbeck, Lbeck 23562, Germany and Institute of Medical Technology, Hamburg University of Technology, Hamburg 21073 (Germany)] [Medical Robotics Group, Universitt zu Lbeck, Lbeck 23562, Germany and Institute of Medical Technology, Hamburg University of Technology, Hamburg 21073 (Germany); Viulet, Tiberiu [Medical Robotics Group, Universitt zu Lbeck, Lbeck 23562 (Germany)] [Medical Robotics Group, Universitt zu Lbeck, Lbeck 23562 (Germany); Muacevic, Alexander; Frweger, Christoph [European CyberKnife Center Munich, Munich 81377 (Germany)] [European CyberKnife Center Munich, Munich 81377 (Germany)

2013-12-15T23:59:59.000Z

365

Linear phase distribution of acoustical vortices  

SciTech Connect (OSTI)

Linear phase distribution of phase-coded acoustical vortices was theoretically investigated based on the radiation theory of point source, and then confirmed by experimental measurements. With the proposed criterion of positive phase slope, the possibility of constructing linear circular phase distributions is demonstrated to be determined by source parameters. Improved phase linearity can be achieved at larger source number, lower frequency, smaller vortex radius, and/or longer axial distance. Good agreements are observed between numerical simulations and measurement results for circular phase distributions. The favorable results confirm the feasibility of precise phase control for acoustical vortices and suggest potential applications in particle manipulation.

Gao, Lu; Zheng, Haixiang [Key Laboratory of Optoelectronics of Jiangsu Province, School of Physics Science and Technology, Nanjing Normal University, 1 Wenyuan Road, Xianlin District, Nanjing 210023 (China); Ma, Qingyu, E-mail: maqingyu@njnu.edu.cn [Key Laboratory of Optoelectronics of Jiangsu Province, School of Physics Science and Technology, Nanjing Normal University, 1 Wenyuan Road, Xianlin District, Nanjing 210023 (China); Laboratory of Modern Acoustics of MOE, Nanjing University, Nanjing 210093 (China); Tu, Juan; Zhang, Dong [Laboratory of Modern Acoustics of MOE, Nanjing University, Nanjing 210093 (China)

2014-07-14T23:59:59.000Z

366

Distributed Bragg Reflectors With Reduced Optical Absorption  

DOE Patents [OSTI]

A new class of distributed Bragg reflectors has been developed. These distributed Bragg reflectors comprise interlayers positioned between sets of high-index and low-index quarter-wave plates. The presence of these interlayers is to reduce photon absorption resulting from spatially indirect photon-assisted electronic transitions between the high-index and low-index quarter wave plates. The distributed Bragg reflectors have applications for use in vertical-cavity surface-emitting lasers for use at 1.55 .mu.m and at other wavelengths of interest.

Klem, John F. (Albuquerque, NM)

2005-08-16T23:59:59.000Z

367

Convex Models of Distribution System Reconfiguration  

E-Print Network [OSTI]

We derive new mixed-integer quadratic, quadratically constrained, and second-order cone programming models of distribution system reconfiguration, which are to date the first formulations of the ac problem that have convex, ...

Taylor, Joshua A.

368

Distributed generation - the fuel processing example  

SciTech Connect (OSTI)

The increased costs of transportation and distribution are leading many commercial and industrial firms to consider the on-site generation for energy and other commodities used in their facilities. This trend has been accelerated by the development of compact, efficient processes for converting basic raw materials into finished services at the distributed sites. Distributed generation with the PC25{trademark} fuel cell power plant is providing a new cost effective technology to meet building electric and thermal needs. Small compact on-site separator systems are providing nitrogen and oxygen to many industrial users of these gases. The adaptation of the fuel processing section of the PC25 power plant for on-site hydrogen generation at industrial sites extends distributed generation benefits to the users of industrial hydrogen.

Victor, R.A. [Praxair, Inc., Tonawanda, NY (United States); Farris, P.J.; Maston, V. [International Fuel Cells Corp., South Windsor, CT (United States)

1996-12-31T23:59:59.000Z

369

A high-throughput distributed DNA  

E-Print Network [OSTI]

of royalty provided that (1) each reproduction is done without alteration and (2) the Journal reference, of this paper may be copied or distributed royalty free without further permission by computer-based and other

Weller, Jennifer Walsh

370

Evaluation of alternative superelevation distribution methods  

E-Print Network [OSTI]

distribution methodologies currently used in the United States do not provide a clear understanding of the operational characteristics of these methods. These methodologies were developed on the 1930's, 1940's, and 1950's. Since then, roadway, pavement...

Labrador, Ramon

1998-01-01T23:59:59.000Z

371

Livestock Grazing Distribution: Considerations and Management  

E-Print Network [OSTI]

This publication explains the factors affecting livestock grazing distribution and discusses ways to improve it. It also reports the results of a study that used Global Positioning System collars to pinpoint the movement of cattle on various...

Lyons, Robert K.; Machen, Richard V.

2002-01-04T23:59:59.000Z

372

Insulate Steam Distribution and Condensate Return Lines  

SciTech Connect (OSTI)

This revised ITP tip sheet on insulating steam distribution and condensate return lines provides how-to advice for improving industrial steam systems using low-cost, proven practices and technologies.

Not Available

2006-01-01T23:59:59.000Z

373

Ecologic and geographic distribution of filovirus disease  

E-Print Network [OSTI]

We used ecologic niche modeling of outbreaks and sporadic cases of filovirus-associated hemorrhagic fever (HF) to provide a large-scale perspective on the geographic and ecologic distributions of Ebola and Marburg viruses. We predicted...

Peterson, A. Townsend; Bauer, John T.; Mills, James N.

2004-01-01T23:59:59.000Z

374

Approximation algorithms for distributed and selfish agents  

E-Print Network [OSTI]

Many real-world systems involve distributed and selfish agents who optimize their own objective function. In these systems, we need to design efficient mechanisms so that system-wide objective is optimized despite agents ...

Mirrokni, Vahab S

2005-01-01T23:59:59.000Z

375

Circular, confined distribution for charged particle beams  

DOE Patents [OSTI]

A charged particle beam line is formed with magnetic optics that manipulate the charged particle beam to form the beam having a generally rectangular configuration to a circular beam cross-section having a uniform particle distribution at a predetermined location. First magnetic optics form a charged particle beam to a generally uniform particle distribution over a square planar area at a known first location. Second magnetic optics receive the charged particle beam with the generally square configuration and affect the charged particle beam to output the charged particle beam with a phase-space distribution effective to fold corner portions of the beam toward the core region of the beam. The beam forms a circular configuration having a generally uniform spatial particle distribution over a target area at a predetermined second location.

Garnett, Robert W. (Los Alamos, NM); Dobelbower, M. Christian (Toledo, OH)

1995-01-01T23:59:59.000Z

376

Circular, confined distribution for charged particle beams  

DOE Patents [OSTI]

A charged particle beam line is formed with magnetic optics that manipulate the charged particle beam to form the beam having a generally rectangular configuration to a circular beam cross-section having a uniform particle distribution at a predetermined location. First magnetic optics form a charged particle beam to a generally uniform particle distribution over a square planar area at a known first location. Second magnetic optics receive the charged particle beam with the generally square configuration and affect the charged particle beam to output the charged particle beam with a phase-space distribution effective to fold corner portions of the beam toward the core region of the beam. The beam forms a circular configuration having a generally uniform spatial particle distribution over a target area at a predetermined second location. 26 figs.

Garnett, R.W.; Dobelbower, M.C.

1995-11-21T23:59:59.000Z

377

The Hybrid Generalized Parton Distributions Parametrization  

SciTech Connect (OSTI)

We construct the ERBL region of the unpolarized Generalized Parton Distributions using the phenomenological constraints obtained from recent measurements of the ep{yields}e'{gamma}p reaction, from the nucleon form factor data, and from deep inelastic inclusive measurements.

Ahmad, S. [University of Wisconsin-Whitewater, 800 West Main St., Whitewater, Wisconsin 53190 (United States); Honkanen, H. [Iowa State University, Ames, IA 50011 (United States); Liuti, S. [University of Virginia, 382 McCormick Road, Charlottesville, Virginia 22904 (United States); Taneja, S. K. [Stony Brook, NY (United States)

2009-08-04T23:59:59.000Z

378

Wigner spacing distribution in classical mechanics  

E-Print Network [OSTI]

The Wigner spacing distribution has a long and illustrious history in nuclear physics and in the quantum mechanics of classically chaotic systems. In this paper, a long-overlooked connection between the Wigner distribution and classical chaos in two-degree-of-freedom (2D) conservative systems is introduced. In the specific context of fully chaotic 2D systems, the hypothesis that typical pseudotrajectories of a canonical Poincar\\'{e} map have a Wignerian nearest-neighbor spacing distribution (NNSD), is put forward and tested. Employing the 2D circular stadium billiard as a generic test case, the NNSD of a typical pseudotrajectory of the Birkhoff map is shown to be in excellent agreement with the Wigner distribution. The relevance of the higher-order Wigner surmises from random matrix theory are also illustrated.

Jamal Sakhr

2014-07-08T23:59:59.000Z

379

Reliability of lightning resistant overhead distribution lines  

SciTech Connect (OSTI)

An assessment of the 32 year historical reliability of the 13.8 kV electrical distribution system at the Oak Ridge National Laboratory (ORNL) in Tennessee has yielded several conclusions useful In the planning of Industrial power Systems. The system configuration at ORNL has essentially remained unchanged in the last 32 years which allows a meaningful comparison of reliability trends for the plant`s eight overhead distribution lines, two of which were built in the 1960`s with lightning resistant construction techniques. Meticulous records indicating the cause, duration, and location of 135 electric outages in the plant`s distribution system have allowed a reliability assessment to be performed. The assessment clearly shows how differences in voltage construction class, length, age, and maximum elevation above a reference elevation influence the reliability of overhead power distribution lines. Comparisons are also made between the ORNL historical data and predicted failure rates from ANSI and IEEE industry surveys.

Tolbert, L.M.; Cleveland, J.T.; Degenhardt, L.J.

1995-04-01T23:59:59.000Z

380

Voltage Management of Networks with Distributed Generation.  

E-Print Network [OSTI]

At present there is much debate about the impacts and benefits of increasing the amount of generation connected to the low voltage areas of the electricity distribution network. The UK government is under political ...

O'Donnell, James

2008-01-01T23:59:59.000Z

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


381

Bacterial Community Structure in Geographically Distributed Biological  

E-Print Network [OSTI]

Bacterial Community Structure in Geographically Distributed Biological Wastewater Treatment of the microbial communities within biological wastewater treatment reactors is incomplete due to limitations microbial community composition in five biological wastewater treatment reactors in China and the United

Alvarez-Cohen, Lisa

382

Coal distribution, January--June 1991  

SciTech Connect (OSTI)

The Coal Distribution report provides information on coal production, distribution, and stocks in the United States to a wide audience including Congress, Federal and State agencies, the coal industry, and the general public. The data in this report are collected and published by the Energy Information Administration (EIA) to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275, Sections 5 and 13, as amended). This issue presents information for January through June 1991. Coal distribution data are shown (in Tables 1--34) by coal-producing Sate of origin, consumer use, method of transportation, and State of destination. All data in this report were collected by the EIA on Form EIA-6, Coal Distribution Report.'' A copy of the form and the instructions for filing appear in Appendix B. All data in this report for 1991 are preliminary. Data for previous years are final. 6 figs., 34 tabs.

Not Available

1991-10-21T23:59:59.000Z

383

Tree Dependent Identically Distributed Learning Tony Jebara  

E-Print Network [OSTI]

generated in an independent identically distributed or iid manner (Box & Tiao, 1992; Ghahramani & Beal, 1999 modeling (Meila & Shi, 2001; Ghahramani & Beal, 1999). Finally, we can also adopt graph­theoretic as

384

Near-Optimal Distributed Failure Circumscription  

E-Print Network [OSTI]

Small failures should only disrupt a small part of a network. One way to do this is by marking the surrounding area as untrustworthy --- circumscribing the failure. This can be done with a distributed algorithm using ...

Beal, Jacob

2003-08-11T23:59:59.000Z

385

Distributed PV Permitting and Inspection Processes  

Broader source: Energy.gov [DOE]

This presentation summarizes case studies of the time and cost involved in the distributed PV permitting and inspection process in three Solar America Cities, Austin, Portland, and Salt Lake City.

386

Report on Distributed Generation Penetration Study  

SciTech Connect (OSTI)

This report documents part of a multiyear research program dedicated to the development of requirements to support the definition, design, and demonstration of a distributed generation-electric power system interconnection interface concept. The report focuses on the dynamic behavior of power systems when a significant portion of the total energy resource is distributed generation. It also focuses on the near-term reality that the majority of new DG relies on rotating synchronous generators for energy conversion.

Miller, N.; Ye, Z.

2003-08-01T23:59:59.000Z

387

Lighting system with heat distribution face plate  

DOE Patents [OSTI]

Lighting systems having a light source and a thermal management system are provided. The thermal management system includes synthetic jet devices, a heat sink and a heat distribution face plate. The synthetic jet devices are arranged in parallel to one and other and are configured to actively cool the lighting system. The heat distribution face plate is configured to radially transfer heat from the light source into the ambient air.

Arik, Mehmet; Weaver, Stanton Earl; Stecher, Thomas Elliot; Kuenzler, Glenn Howard; Wolfe, Jr., Charles Franklin; Li, Ri

2013-09-10T23:59:59.000Z

388

Probability distribution of the vacuum energy density  

SciTech Connect (OSTI)

As the vacuum state of a quantum field is not an eigenstate of the Hamiltonian density, the vacuum energy density can be represented as a random variable. We present an analytical calculation of the probability distribution of the vacuum energy density for real and complex massless scalar fields in Minkowski space. The obtained probability distributions are broad and the vacuum expectation value of the Hamiltonian density is not fully representative of the vacuum energy density.

Duplancic, Goran; Stefancic, Hrvoje [Theoretical Physics Division, Rudjer Boskovic Institute, P.O. Box 180, HR-10002 Zagreb (Croatia); Glavan, Drazen [Department of Physics, Faculty of Science, University of Zagreb, P.O. Box 331, HR-10002 Zagreb (Croatia)

2010-12-15T23:59:59.000Z

389

Distributed Parallel Particle Advection using Work Requesting  

SciTech Connect (OSTI)

Particle advection is an important vector field visualization technique that is difficult to apply to very large data sets in a distributed setting due to scalability limitations in existing algorithms. In this paper, we report on several experiments using work requesting dynamic scheduling which achieves balanced work distribution on arbitrary problems with minimal communication overhead. We present a corresponding prototype implementation, provide and analyze benchmark results, and compare our results to an existing algorithm.

Muller, Cornelius; Camp, David; Hentschel, Bernd; Garth, Christoph

2013-09-30T23:59:59.000Z

390

On parton distributions in a photon gas  

E-Print Network [OSTI]

In some cases it may be useful to know parton distributions in a photon gas. This may be relevant, e.g., for the analysis of interactions of high energy cosmic ray particles with the cosmic microwave background radiation. The latter can be considered as a gas of photons with an almost perfect blackbody spectrum. An approach to finding such parton distributions is described. The survival probability of ultra-high energy neutrinos traveling through this radiation is calculated.

I. Alikhanov

2009-06-19T23:59:59.000Z

391

Development of an Integrated Distribution Management System  

SciTech Connect (OSTI)

This final report details the components, functionality, costs, schedule and benefits of developing an Integrated Distribution Management System (IDMS) for power distribution system operation. The Distribution Automation (DA) and Supervisory Control and Data Acquisition (SCADA) systems used by electric power companies to manage the distribution of electric power to retail energy consumers are vital components of the Nations critical infrastructure. Providing electricity is an essential public service and a disruption in that service, if not quickly restored, could threaten the public safety and the Nations economic security. Our Nations economic prosperity and quality of life have long depended on the essential services that utilities provide; therefore, it is necessary to ensure that electric utilities are able to conduct their operations safely and efficiently. A fully integrated technology of applications is needed to link various remote sensing, communications and control devices with other information tools that help guide Power Distribution Operations personnel. A fully implemented IDMS will provide this, a seamlessly integrated set of applications to raise electric system operating intelligence. IDMS will enhance DA and SCADA through integration of applications such as Geographic Information Systems, Outage Management Systems, Switching Management and Analysis, Operator Training Simulator, and other Advanced Applications, including unbalanced load flow and fault isolation/service restoration. These apps are capable of utilizing and obtaining information from appropriately installed DER, and by integrating disparate systems, the Distribution Operators will benefit from advanced capabilities when analyzing, controlling and operating the electric system.

Schatz, Joe E.

2010-10-20T23:59:59.000Z

392

Power distribution engineering: Fundamentals and applications  

SciTech Connect (OSTI)

Covering virtually all areas of distribution engineering, this thoroughly up-to-date reference examines the unique behavior of utilities and provides the practical knowledge necessary to solve real-world distribution problems. Simplifying seemingly difficult concepts and calculations, Power Distribution Engineering addresses topics typically associated with power quality such as sags, swells, harmonics, electromagnetic fields, and stray voltage; describes different types of system designs and grounding as well as values for voltage, line lengths, and load and fault levels; details the loading, construction, and rating of various transformers; presents methods to maximize the effectiveness of capacitor placement; explains overcurrent and overvoltage protection of distribution systems; evaluates utilities using economic techniques that incorporate ideas such as present worth, carrying charge, cost of losses, operating costs, and customer satisfaction. Furnishing over 425 helpful equations, tables, drawings, and photographs, Power Distribution Engineering is an invaluable resource for electrical and electronics, utility distribution, power systems, control, protection, and relaying engineers, as well as graduate students in these disciplines.

Burke, J.J.

1994-01-01T23:59:59.000Z

393

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 1 Distributed Algorithms for Constructing  

E-Print Network [OSTI]

distributed algorithms called Nearest Neighbor Tree (NNT) algorithms for energy-efficient construction, Energy-Efficient Algorithms, Minimum Spanning Tree, Wireless Networks, Sensor Network. I. OVERVIEW A

Khan, Maleq

394

Air Quality Impact of Distributed Generation of Electricity  

E-Print Network [OSTI]

of the near source air quality impact of distributedDabdub, D. , 2003. Urban Air quality impacts of distributedDabdub, D. , 2004. Urban Air quality impacts of distributed

Jing, Qiguo

2011-01-01T23:59:59.000Z

395

Beta-hypergeometric probability distribution on symmetric matrices  

E-Print Network [OSTI]

Beta-hypergeometric probability distribution on symmetric matrices A. Hassairi , M. Masmoudi, O. Regaig Sfax University Tunisia. Running title: Beta-hypergeometric distribution Abstract : Some remarkable properties of the beta distribution are based on relations in- volving independence between beta

Paris-Sud XI, Université de

396

Distributed Multivariate Regression Using Wavelet-based Collective Data Mining.  

E-Print Network [OSTI]

an approach to the analysis of distributed, heterogeneous databases with distinct feature spacesDistributed Multivariate Regression Using Wavelet-based Collective Data Mining. Daryl E a method for distributed multivariate regression using wavelet- based Collective Data Mining (CDM

Kargupta, Hilol

397

Cold Air Distribution in Office Buildings: Technology Assessment for California  

E-Print Network [OSTI]

1988. Cold Air Distribution Design Guide. EPRI Report EM-match the cold air distribution design, the floor-to-floorinclude cold air distribution in their designs. The projects

Bauman, F.S.

2008-01-01T23:59:59.000Z

398

QUANTIFYING THE CONVERGENCE TIME OF DISTRIBUTED DESIGN PROCESSES  

E-Print Network [OSTI]

QUANTIFYING THE CONVERGENCE TIME OF DISTRIBUTED DESIGN PROCESSES Erich Devendorf Research Engineer design processes. In distributed design, large systems are decomposed into smaller, coupled design individual objectives. The number of iterations required to reach equilibrium solutions in distributed design

Lewis, Kemper E.

399

Pattern-driven Partitioning in Designing Distributed Object Applications  

E-Print Network [OSTI]

Pattern-driven Partitioning in Designing Distributed Object Applications Widayashanti P. Sardjono of the fundamental challenges in designing distributed object applications (DOAs) is application partitioning, particularly distributable ones, are discovered. This research proposes a technique to help designers

Simons, Anthony J. H.

400

Cold Air Distribution in Office Buildings: Technology Assessment for California  

E-Print Network [OSTI]

Cold Air Distribution Systems. EPRI Report EM-5447, ElectricAir Distribution Design Guide. EPRI Report EM-5730, ElectricAir Distribution System. EPRI Report CU-6690, Vol. 1 and 2,

Bauman, F.S.

2008-01-01T23:59:59.000Z

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


401

Wind Power Forecasting Error Distributions over Multiple Timescales: Preprint  

SciTech Connect (OSTI)

In this paper, we examine the shape of the persistence model error distribution for ten different wind plants in the ERCOT system over multiple timescales. Comparisons are made between the experimental distribution shape and that of the normal distribution.

Hodge, B. M.; Milligan, M.

2011-03-01T23:59:59.000Z

402

Modeling of Customer Adoption of Distributed Energy Resources  

E-Print Network [OSTI]

Modeling of Customer Adoption of Distributed Energy Resources CALIFORNIA ENERGY COMMISSION Reliability Technology Solutions Modeling of Customer Adoption of Distributed Energy Resources Prepared the consequences. #12;#12;Modeling of Customer Adoption of Distributed Energy Resources iii Table of Contents

403

On-Site Wastewater Treatment Systems: Spray Distribution  

E-Print Network [OSTI]

A spray distribution system is very similar to a lawn irrigation system. Spray heads are used to distribute treated wastewater to the surface of the yard. This publication explains the advantages and disadvantages of spray distribution systems...

Lesikar, Bruce J.

1999-09-06T23:59:59.000Z

404

Strategy Guideline: Compact Air Distribution Systems  

SciTech Connect (OSTI)

This Strategy Guideline discusses the benefits and challenges of using a compact air distribution system to handle the reduced loads and reduced air volume needed to condition the space within an energy efficient home. Traditional systems sized by 'rule of thumb' (i.e., 1 ton of cooling per 400 ft2 of floor space) that 'wash' the exterior walls with conditioned air from floor registers cannot provide appropriate air mixing and moisture removal in low-load homes. A compact air distribution system locates the HVAC equipment centrally with shorter ducts run to interior walls, and ceiling supply outlets throw the air toward the exterior walls along the ceiling plane; alternatively, high sidewall supply outlets throw the air toward the exterior walls. Potential drawbacks include resistance from installing contractors or code officials who are unfamiliar with compact air distribution systems, as well as a lack of availability of low-cost high sidewall or ceiling supply outlets to meet the low air volumes with good throw characteristics. The decision criteria for a compact air distribution system must be determined early in the whole-house design process, considering both supply and return air design. However, careful installation of a compact air distribution system can result in lower material costs from smaller equipment, shorter duct runs, and fewer outlets; increased installation efficiencies, including ease of fitting the system into conditioned space; lower loads on a better balanced HVAC system, and overall improved energy efficiency of the home.

Burdick, A.

2013-06-01T23:59:59.000Z

405

Distributed Wind Policy Comparison Tool Guidebook  

SciTech Connect (OSTI)

Power through Policy: 'Best Practices' for Cost-Effective Distributed Wind is a U.S. Department of Energy (DOE)-funded project to identify distributed wind technology policy best practices and to help policymakers, utilities, advocates, and consumers examine their effectiveness using a pro forma model. Incorporating a customized feed from the Database of State Incentives for Renewables and Efficiency (DSIRE), the Web-based Distributed Wind Policy Comparison Tool (Policy Tool) is designed to assist state, local, and utility officials in understanding the financial impacts of different policy options to help reduce the cost of distributed wind technologies. The Policy Tool can be used to evaluate the ways that a variety of federal and state policies and incentives impact the economics of distributed wind (and subsequently its expected market growth). It also allows policymakers to determine the impact of policy options, addressing market challenges identified in the U.S. DOE's '20% Wind Energy by 2030' report and helping to meet COE targets.

Not Available

2011-11-01T23:59:59.000Z

406

Distributed Wind Diffusion Model Overview (Presentation)  

SciTech Connect (OSTI)

Distributed wind market demand is driven by current and future wind price and performance, along with several non-price market factors like financing terms, retail electricity rates and rate structures, future wind incentives, and others. We developed a new distributed wind technology diffusion model for the contiguous United States that combines hourly wind speed data at 200m resolution with high resolution electricity load data for various consumer segments (e.g., residential, commercial, industrial), electricity rates and rate structures for utility service territories, incentive data, and high resolution tree cover. The model first calculates the economics of distributed wind at high spatial resolution for each market segment, and then uses a Bass diffusion framework to estimate the evolution of market demand over time. The model provides a fundamental new tool for characterizing how distributed wind market potential could be impacted by a range of future conditions, such as electricity price escalations, improvements in wind generator performance and installed cost, and new financing structures. This paper describes model methodology and presents sample results for distributed wind market potential in the contiguous U.S. through 2050.

Preus, R.; Drury, E.; Sigrin, B.; Gleason, M.

2014-07-01T23:59:59.000Z

407

Raney distributions and random matrix theory  

E-Print Network [OSTI]

Recent works have shown that the family of probability distributions with moments given by the Fuss-Catalan numbers permit a simple parameterized form for their density. We extend this result to the Raney distribution which by definition has its moments given by a generalization of the Fuss-Catalan numbers. Such computations begin with an algebraic equation satisfied by the Stieltjes transform, which we show can be derived from the linear differential equation satisfied by the characteristic polynomial of random matrix realizations of the Raney distribution. For the Fuss-Catalan distribution, an equilibrium problem characterizing the density is identified. The Stieltjes transform for the limiting spectral density of the singular values squared of the matrix product formed from $q$ inverse standard Gaussian matrices, and $s$ standard Gaussian matrices, is shown to satisfy a variant of the algebraic equation relating to the Raney distribution. Supported on $(0,\\infty)$, we show that it too permits a simple functional form upon the introduction of an appropriate choice of parameterisation. As an application, the leading asymptotic form of the density as the endpoints of the support are approached is computed, and is shown to have some universal features.

Peter J. Forrester; Dang-Zheng Liu

2014-04-23T23:59:59.000Z

408

Fractal Fluctuations and Statistical Normal Distribution  

E-Print Network [OSTI]

Dynamical systems in nature exhibit selfsimilar fractal fluctuations and the corresponding power spectra follow inverse power law form signifying long-range space-time correlations identified as self-organized criticality. The physics of self-organized criticality is not yet identified. The Gaussian probability distribution used widely for analysis and description of large data sets underestimates the probabilities of occurrence of extreme events such as stock market crashes, earthquakes, heavy rainfall, etc. The assumptions underlying the normal distribution such as fixed mean and standard deviation, independence of data, are not valid for real world fractal data sets exhibiting a scale-free power law distribution with fat tails. A general systems theory for fractals visualizes the emergence of successively larger scale fluctuations to result from the space-time integration of enclosed smaller scale fluctuations. The model predicts a universal inverse power law incorporating the golden mean for fractal fluctuations and for the corresponding power spectra, i.e., the variance spectrum represents the probabilities, a signature of quantum systems. Fractal fluctuations therefore exhibit quantum-like chaos. The model predicted inverse power law is very close to the Gaussian distribution for small-scale fluctuations, but exhibits a fat long tail for large-scale fluctuations. Extensive data sets of Dow Jones index, Human DNA, Takifugu rubripes (Puffer fish) DNA are analysed to show that the space/time data sets are close to the model predicted power law distribution.

A. M. Selvam

2008-05-22T23:59:59.000Z

409

Measuring Advances in HVAC Distribution System Design  

SciTech Connect (OSTI)

Substantial commercial building energy savings have been achieved by improving the performance of the HV AC distribution system. The energy savings result from distribution system design improvements, advanced control capabilities, and use of variable-speed motors. Yet, much of the commercial building stock remains equipped with inefficient systems. Contributing to this is the absence of a definition for distribution system efficiency as well as the analysis methods for quantifying performance. This research investigates the application of performance indices to assess design advancements in commercial building thermal distribution systems. The index definitions are based on a first and second law of thermodynamics analysis of the system. The second law or availability analysis enables the determination of the true efficiency of the system. Availability analysis is a convenient way to make system efficiency comparisons since performance is evaluated relative to an ideal process. A TRNSYS simulation model is developed to analyze the performance of two distribution system types, a constant air volume system and a variable air volume system, that serve one floor of a large office building. Performance indices are calculated using the simulation results to compare the performance of the two systems types in several locations. Changes in index values are compared to changes in plant energy, costs, and carbon emissions to explore the ability of the indices to estimate these quantities.

Franconi, E.

1998-05-01T23:59:59.000Z

410

Innovation flow through social networks: Productivity distribution  

E-Print Network [OSTI]

A detailed empirical analysis of the productivity of non financial firms across several countries and years shows that productivity follows a non-Gaussian distribution with power law tails. We demonstrate that these empirical findings can be interpreted as consequence of a mechanism of exchanges in a social network where firms improve their productivity by direct innovation or/and by imitation of other firm's technological and organizational solutions. The type of network-connectivity determines how fast and how efficiently information can diffuse and how quickly innovation will permeate or behaviors will be imitated. From a model for innovation flow through a complex network we obtain that the expectation values of the productivity level are proportional to the connectivity of the network of links between firms. The comparison with the empirical distributions reveals that such a network must be of a scale-free type with a power-law degree distribution in the large connectivity range.

T. Di Matteo; T. Aste; M. Gallegati

2004-06-19T23:59:59.000Z

411

Standard Data Exchanges for Distribution System Management  

SciTech Connect (OSTI)

Databases and software tools for electric power distribution systems have not been integrated, and this leads to extra costs and restrictions imposed on utilities and other stakeholders. For example, distributed resource integration studies and modern grid technology assessments are more difficult and costly. New vendors face high market entry barriers, because its necessary to interface with large and customized data systems at each potential utility customer. This project promotes data and software tool integration, through a set of data translators based on a common object model. The data translators are delivered as open-source software, using appropriate Web software technologies. The parties who benefit include electric utilities (and their ratepayers), researchers at government laboratories and universities, small software companies wishing to enter the electric utility market, and parties wishing to interconnect distributed generation to a utility system.

Thomas E. McDermott

2007-10-05T23:59:59.000Z

412

ASYMMETRIC ELECTRON DISTRIBUTIONS IN THE SOLAR WIND  

SciTech Connect (OSTI)

A plausible mechanism responsible for producing asymmetric electron velocity distribution functions in the solar wind is investigated by means of one-dimensional electrostatic particle-in-cell (PIC) simulation. A recent paper suggests that the variation in the ion-to-electron temperature ratio influences the nonlinear wave-particle dynamics such that it results in the formation of asymmetric distributions. The present PIC code simulation largely confirms this finding, but quantitative differences between the weak turbulence formalism and the present PIC simulation are also found, suggesting the limitation of the analytical method. The inter-relationship between the asymmetric electron distribution and the ion-to-electron temperature ratio may be a new useful concept for the observation.

Rha, Kicheol; Ryu, Chang-Mo [Department of Physics, Pohang University of Science and Technology, Pohang 790-784 (Korea, Republic of)] [Department of Physics, Pohang University of Science and Technology, Pohang 790-784 (Korea, Republic of); Yoon, Peter H. [Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 (United States)] [Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 (United States)

2013-09-20T23:59:59.000Z

413

Measuring PM Distribution in a Catalyzed Particulate Filter using...  

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

PM Distribution in a Catalyzed Particulate Filter using a Terahertz Wave Scanner Measuring PM Distribution in a Catalyzed Particulate Filter using a Terahertz Wave Scanner...

414

Theoretical Electron Density Distributions for Fe- and Cu-Sulfide...  

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

Electron Density Distributions for Fe- and Cu-Sulfide Earth Materials: A Connection between Bond Length, Bond Theoretical Electron Density Distributions for Fe- and Cu-Sulfide...

415

Flexible Distributed Energy and Water from Waste for the Food...  

Energy Savers [EERE]

Flexible Distributed Energy and Water from Waste for the Food and Beverage Industry - Fact Sheet, 2014 Flexible Distributed Energy and Water from Waste for the Food and Beverage...

416

Distributed/Stationary Fuel Cell Systems | Department of Energy  

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

DistributedStationary Fuel Cell Systems DistributedStationary Fuel Cell Systems Photo of stationary fuel cell The Department of Energy (DOE) is developing high-efficiency fuel...

417

PHYTOPLANKTON AND BIOMASS DISTRIBUTION AT POTENTIAL OTEC SITES  

E-Print Network [OSTI]

DISTRIBUTION AT POTENTIAL OTEC SITES P. W. Johnson and A.DISTRIBUTION AT POTENTIAL OTEC SITES LBL9054 P. W. Johnsonparameters at potential OTEC sites. Site Dactyliosolen

Johnson, P.W.

2010-01-01T23:59:59.000Z

418

ITP Industrial Distributed Energy: Combined Heat and Power -...  

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

ITP Industrial Distributed Energy: Combined Heat and Power - A Decade of Progress, A Vision for the Future ITP Industrial Distributed Energy: Combined Heat and Power - A Decade of...

419

Survey of Emissions Models for Distributed Combined Heat and...  

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

Survey of Emissions Models for Distributed Combined Heat and Power Systems, 2007 Survey of Emissions Models for Distributed Combined Heat and Power Systems, 2007 The models...

420

Ion Distribution And Electronic Stopping Power For Au ions In...  

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

Distribution And Electronic Stopping Power For Au ions In Silicon Carbide. Ion Distribution And Electronic Stopping Power For Au ions In Silicon Carbide. Abstract: Accurate...

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


421

Electrical Model Development and Validation for Distributed Resources  

SciTech Connect (OSTI)

This project focuses on the development of electrical models for small (1-MW) distributed resources at the National Renewable Energy Laboratory's Distributed Energy Resources Test Facility.

Simoes, M. G.; Palle, B.; Chakraborty, S.; Uriarte, C.

2007-04-01T23:59:59.000Z

422

Deployment Barriers to Distributed Wind Energy: Workshop Report...  

Energy Savers [EERE]

Deployment Barriers to Distributed Wind Energy: Workshop Report, October 28, 2010 Deployment Barriers to Distributed Wind Energy: Workshop Report, October 28, 2010 This report...

423

Distributed Generation Dispatch Optimization under Various Electricity Tariffs  

E-Print Network [OSTI]

utility experience with RTP tariffs is described in 3. Distributed GenerationUtilities Commission, Division of Ratepayer Advocates have also provided support on related work. Distributed Generation

Firestone, Ryan; Marnay, Chris

2007-01-01T23:59:59.000Z

424

Improving Energy Efficiency by Developing Components for Distributed...  

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

Distributed Cooling and Heating Based on Thermal Comfort Modeling Thermoelectric (TE) HVAC Energy Efficient HVAC System for Distributed CoolingHeating with Thermoelectric...

425

Energy Efficient HVAC System for Distributed Cooling/Heating...  

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

Efficient HVAC System for Distributed CoolingHeating with Thermoelectric Devices Energy Efficient HVAC System for Distributed CoolingHeating with Thermoelectric Devices 2012 DOE...

426

Integration of HVAC System Design with Simplified Duct Distribution...  

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

Integration of HVAC System Design with Simplified Duct Distribution - Building America Top Innovation Integration of HVAC System Design with Simplified Duct Distribution - Building...

427

Local Soot Loading Distribution in Cordierite Diesel Particulate...  

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

Local Soot Loading Distribution in Cordierite Diesel Particulate Filters by Dynamic Neutron Radiography Local Soot Loading Distribution in Cordierite Diesel Particulate Filters by...

428

Utility Wind Integration Group Distributed Wind/Solar Interconnection Workshop  

Broader source: Energy.gov [DOE]

This two-day workshop will answer your questions about interconnecting wind and solar plants and other distributed generation applications to electric distribution systems while providing insight...

429

affects lysosomal distribution: Topics by E-print Network  

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

Key factors affecting voltage oscillations of distribution networks with distributed generation and induction motor loads Engineering Websites Summary: and induction motor loads...

430

Urea/Ammonia Distribution Optimization in an SCR Emission Control...  

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

UreaAmmonia Distribution Optimization in an SCR Emission Control System Through the Use of CFD Analysis UreaAmmonia Distribution Optimization in an SCR Emission Control System...

431

Fuel Cell Comparison of Distributed Power Generation Technologies...  

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

Cell Comparison of Distributed Power Generation Technologies Fuel Cell Comparison of Distributed Power Generation Technologies This report examines backup power and prime power...

432

Enhancing the Smart Grid: Integrating Clean Distributed and Renewable...  

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

Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Enhancing the Smart Grid: Integrating Clean Distributed and Renewable Generation Imagine a grid...

433

acid distribution pattern: Topics by E-print Network  

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

addressing these problems. It first monitors 3 Patterns of heterochromatin distribution in plant chromosomes CiteSeer Summary: The C-band distribution patterns of 105...

434

asymmetric momentum distribution: Topics by E-print Network  

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

quark production. Daniel Boer 2012-09-01 5 Momentum distribution of confined bosons: temperature dependence Quantum Physics (arXiv) Summary: The momentum distribution function of a...

435

Distributed Generation Investment by a Microgrid Under Uncertainty  

E-Print Network [OSTI]

option on natural gas generation, which increases in valueL ABORATORY Distributed Generation Investment by a MicrogridORMMES06 Distributed Generation Investment by a Microgrid

Siddiqui, Afzal; Marnay, Chris

2006-01-01T23:59:59.000Z

436

The Potential Benefits of Distributed Generation and the Rate...  

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

The Potential Benefits of Distributed Generation and the Rate-Related Issues That May Impede Its Expansion The Potential Benefits of Distributed Generation and the Rate-Related...

437

Distributed Generation Dispatch Optimization under Various Electricity Tariffs  

E-Print Network [OSTI]

LBNL-54447. Distributed Generation Dispatch OptimizationA Business Case for On-Site Generation: The BD Biosciencesrelated work. Distributed Generation Dispatch Optimization

Firestone, Ryan; Marnay, Chris

2007-01-01T23:59:59.000Z

438

PHOSPHORUS IN ALUM AMENDED POULTRY LITTER SYSTEMS: DISTRIBUTION, SPECIATION, AND  

E-Print Network [OSTI]

PHOSPHORUS IN ALUM AMENDED POULTRY LITTER SYSTEMS: DISTRIBUTION, SPECIATION, AND INTERACTIONS;PHOSPHORUS IN ALUM AMENDED POULTRY LITTER SYSTEMS: DISTRIBUTION, SPECIATION, AND INTERACTIONS WITH ALUMINUM

Sparks, Donald L.

439

Modern Grid Initiative Distribution Taxonomy Final Report  

SciTech Connect (OSTI)

This is the final report for the development of a toxonomy of prototypical electrical distribution feeders. Two of the primary goals of the Department of Energy's (DOE) Modern Grid Initiative (MGI) are 'to accelerate the modernization of our nation's electricity grid' and to 'support demonstrations of systems of key technologies that can serve as the foundation for an integrated, modern power grid'. A key component to the realization of these goals is the effective implementation of new, as well as existing, 'smart grid technologies'. Possibly the largest barrier that has been identified in the deployment of smart grid technologies is the inability to evaluate how their deployment will affect the electricity infrastructure, both locally and on a regional scale. The inability to evaluate the impacts of these technologies is primarily due to the lack of detailed electrical distribution feeder information. While detailed distribution feeder information does reside with the various distribution utilities, there is no central repository of information that can be openly accessed. The role of Pacific Northwest National Laboratory (PNNL) in the MGI for FY08 was to collect distribution feeder models, in the SynerGEE{reg_sign} format, from electric utilities around the nation so that they could be analyzed to identify regional differences in feeder design and operation. Based on this analysis PNNL developed a taxonomy of 24 prototypical feeder models in the GridLAB-D simulations environment that contain the fundamental characteristics of non-urban core, radial distribution feeders from the various regions of the U.S. Weighting factors for these feeders are also presented so that they can be used to generate a representative sample for various regions within the United States. The final product presented in this report is a toolset that enables the evaluation of new smart grid technologies, with the ability to aggregate their effects to regional and national levels. The distribution feeder models presented in this report are based on actual utility models but do not contain any proprietary or system specific information. As a result, the models discussed in this report can be openly distributed to industry, academia, or any interested entity, in order to facilitate the ability to evaluate smart grid technologies.

Schneider, Kevin P.; Chen, Yousu; Chassin, David P.; Pratt, Robert G.; Engel, David W.; Thompson, Sandra E.

2008-11-01T23:59:59.000Z

440

Distributed expert systems for nuclear reactor control  

SciTech Connect (OSTI)

A network of distributed expert systems is the heart of a prototype supervisory control architecture developed at the Oak Ridge National Laboratory (ORNL) for an advanced multimodular reactor. Eight expert systems encode knowledge on signal acquisition, diagnostics, safeguards, and control strategies in a hybrid rule-based, multiprocessing and object-oriented distributed computing environment. An interactive simulation of a power block consisting of three reactors and one turbine provides a realistic, testbed for performance analysis of the integrated control system in real-time. Implementation details and representative reactor transients are discussed.

Otaduy, P.J.

1992-12-01T23:59:59.000Z

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


441

Distributed expert systems for nuclear reactor control  

SciTech Connect (OSTI)

A network of distributed expert systems is the heart of a prototype supervisory control architecture developed at the Oak Ridge National Laboratory (ORNL) for an advanced multimodular reactor. Eight expert systems encode knowledge on signal acquisition, diagnostics, safeguards, and control strategies in a hybrid rule-based, multiprocessing and object-oriented distributed computing environment. An interactive simulation of a power block consisting of three reactors and one turbine provides a realistic, testbed for performance analysis of the integrated control system in real-time. Implementation details and representative reactor transients are discussed.

Otaduy, P.J.

1992-01-01T23:59:59.000Z

442

Nested entangled states for distributed quantum channels  

E-Print Network [OSTI]

We find a coupling-strength configuration for a linear chain of N spins which gives rise to simultaneous multiple Bell states. We suggest a way such an interesting entanglement pattern can be used in order to distribute maximally entangled channels to remote locations and generate multipartite entanglement with a minimum-control approach. Our proposal thus provides a way to achieve the core resources in distributed information processing. The schemes we describe can be efficiently tested in chains of coupled cavities interacting with three-level atoms.

C. Di Franco; M. Paternostro; M. S. Kim

2008-03-02T23:59:59.000Z

443

Distributed services for mobile ad hoc networks  

E-Print Network [OSTI]

DISTRIBUTED SERVICES FOR MOBILE AD HOC NETWORKS A Dissertation by GUANGTONG CAO Submitted to the O?ce of Graduate Studies of Texas A&M University in partial fulflllment of the requirements for the degree of DOCTOR OF PHILOSOPHY August 2005 Major... Subject: Computer Science DISTRIBUTED SERVICES FOR MOBILE AD HOC NETWORKS A Dissertation by GUANGTONG CAO Submitted to the O?ce of Graduate Studies of Texas A&M University in partial fulflllment of the requirements for the degree of DOCTOR OF PHILOSOPHY...

Cao, Guangtong

2005-11-01T23:59:59.000Z

444

Classification of Carbide Distributions using ScaleSpace Methods Classification of Carbide Distributions using Scale  

E-Print Network [OSTI]

Classification of Carbide Distributions using Scale­Space Methods #12; Classification of Carbide­structure of the steel, which in turn influences the mechanical properties. Specifi­ cally, the distribution of carbide is essential, since cracks propagate within the carbide agglomerations. In current quality control

Lindeberg, Tony

445

DoNotDistribute Chapter 1 Introduction to Distributed Service-Oriented Computing  

E-Print Network [OSTI]

and Service-Oriented Computing (SOC) paradigm. 1.1 Computer Architecture and Computing Paradigms Software (stakeholders) interested in the development of a computer-based system. The service-oriented architecture (SOADoNotDistribute 1 Chapter 1 Introduction to Distributed Service-Oriented Computing Chapter 2

Chen, Yinong

446

Distribution Effectiveness and Impacts on Equipment Sizing for Residential Thermal Distribution Systems  

E-Print Network [OSTI]

1 LBNL-43724 Distribution Effectiveness and Impacts on Equipment Sizing for Residential Thermal Distribution Systems Walker, I., Sherman, M., and Siegel, J. Environmental Energy Technologies Division Energy .................................................................................................................. 14 Figure 1. Simulations of Pulldowns from 3:00 p.m. on a Sacramento Design Day

447

Electrical Transformer Distribution Chart August 30, 2013 UW-MILWAUKEE ELECTRICAL DISTRIBUTION  

E-Print Network [OSTI]

Electrical Transformer Distribution Chart August 30, 2013 UW-MILWAUKEE ELECTRICAL DISTRIBUTION TRANSFORMER A TRANSFORMER B TRANSFORMER C Bolton Hall Chiller ­ Heat Plant Architecture (AUP) Chapman Hall Vogel Hall Buildings listed according to which transformer feeds it ­ under normal conditions. (This

Saldin, Dilano

448

Modeling and Verification of Distributed Generation and Voltage Regulation Equipment for Unbalanced Distribution Power Systems; Annual Subcontract Report, June 2007  

SciTech Connect (OSTI)

This report summarizes the development of models for distributed generation and distribution circuit voltage regulation equipment for unbalanced power systems and their verification through actual field measurements.

Davis, M. W.; Broadwater, R.; Hambrick, J.

2007-07-01T23:59:59.000Z

449

A Distributed Pool Architecture for Genetic Algorithms  

E-Print Network [OSTI]

proposed approaches, the new approach is tailored for distributed systems in which processors are loosely coupled, failure-prone and can run at different speeds. Proof-of-concept simulation results are presented for four benchmark functions and for a real...

Roy, Gautam

2011-02-22T23:59:59.000Z

450

Neutral-current x-distributions  

SciTech Connect (OSTI)

The role of the semi-leptonic neutral current interaction as a probe of nucleon structure is examined. Previous measurements of neutral current x-distributions are reviewed, and new results from the Fermilab - MIT - MSU collaboration are presented. 4 references.

Bogert, D.; Burnstein, R.; Fisk, R.; Fuess, S.; Bofill, J.; Busza, W.; Eldridge, T.; Friedman, J.I.; Abolins, M.; Brock, R.

1984-06-01T23:59:59.000Z

451

Approximations to the Distributed Activation Energy Model  

E-Print Network [OSTI]

), used for the pyrolysis of a range of materials (including coal, biomass, residual oils and kerogen applies to the pyrolysis of other materials, including biomass, residual oils, resin chars [1Approximations to the Distributed Activation Energy Model for Pyrolysis C.P. Please, 1 M.J. Mc

McGuinness, Mark

452

Report on the Workshop on Distributed AI  

E-Print Network [OSTI]

On June 9-11, 22 people gathered at Endicott House for the first workshop on the newly emerging topic of Distributed AI. They came with a wide range of views on the topic, and indeed a wide range of views of what precisely ...

Davis, Randall

453

Orchestrating Distributed Resource Ensembles for Petascale Science  

SciTech Connect (OSTI)

Distributed, data-intensive computational science applications of interest to DOE scientific com- munities move large amounts of data for experiment data management, distributed analysis steps, remote visualization, and accessing scientific instruments. These applications need to orchestrate ensembles of resources from multiple resource pools and interconnect them with high-capacity multi- layered networks across multiple domains. It is highly desirable that mechanisms are designed that provide this type of resource provisioning capability to a broad class of applications. It is also important to have coherent monitoring capabilities for such complex distributed environments. In this project, we addressed these problems by designing an abstract API, enabled by novel semantic resource descriptions, for provisioning complex and heterogeneous resources from multiple providers using their native provisioning mechanisms and control planes: computational, storage, and multi-layered high-speed network domains. We used an extensible resource representation based on semantic web technologies to afford maximum flexibility to applications in specifying their needs. We evaluated the effectiveness of provisioning using representative data-intensive ap- plications. We also developed mechanisms for providing feedback about resource performance to the application, to enable closed-loop feedback control and dynamic adjustments to resource allo- cations (elasticity). This was enabled through development of a novel persistent query framework that consumes disparate sources of monitoring data, including perfSONAR, and provides scalable distribution of asynchronous notifications.

Baldin, Ilya; Mandal, Anirban; Ruth, Paul; Yufeng, Xin

2014-04-24T23:59:59.000Z

454

Stochastic Distributed Algorithms for Target Surveillance  

E-Print Network [OSTI]

4 . Infor- mally, we want to deploy a number of ying UAV's (Unmanned Autonomous Vehicles of the performance of a system of autonomous agents. To this purpose we propose a class of semi-distributed stochastic navigation algorithms, that drive swarms of autonomous scouts to the surveillance of grounded

Crespi, Valentino

455

Workshop on Distributed Cloud Computing Dresden, Germany  

E-Print Network [OSTI]

DCC 2013 Workshop on Distributed Cloud Computing Dresden, Germany December 9-12, 2013 (Submission Pan Hui, HKUST, Hong Kong Wolfgang Kellerer, TU Munich, Germany Ruben Montero, Uni Complutense de Waterloo, Canada Marco Canini, T-Labs & TU Berlin, Germany Paolo Costa, MSR & Imperial College, UK Xiaoming

Schmid, Stefan

456

Visualization of Large-Scale Distributed Data  

E-Print Network [OSTI]

that are now considered the "lenses" for examining large-scale data. THE LARGE-SCALE DATA VISUALIZATIONVisualization of Large-Scale Distributed Data Jason Leigh1 , Andrew Johnson1 , Luc Renambot1 representation of data and the interactive manipulation and querying of the visualization. Large-scale data

Johnson, Andrew

457

Diploma Thesis Distributed Secondary Control in Microgrids  

E-Print Network [OSTI]

Diploma Thesis Distributed Secondary Control in Microgrids Hedi Bouattour May 10, 2013 Betreuer: Florian Dörfler University of California, Santa Barbara Center for Control, Dynamical Systems. Dr.-Ing. Frank Allgöwer #12;#12;Contents 1 Introduction 1 1.1 Microgrids and Control

Bullo, Francesco

458

Energy Balanced Chain in Distributed Sensor Networks  

E-Print Network [OSTI]

Energy Balanced Chain in Distributed Sensor Networks Ivan Howitt Electrical & Computer Engineering because of their higher traffic. This paper suggests an energy balanced chain (EBC) which can efficiently the energy balance optimization problem in terms of the segmentation space. By adjusting the transmission

Howitt, Ivan

459

Asymptotic Convergence Analysis for Distributional Robust ...  

E-Print Network [OSTI]

May 2, 2013 ... School of Engineering and Mathematical Sciences, City University of ... data to estimate moments (e.g., mean and variance) and then specify the ... allows us to measure the convergence of the distributional set as ...... with applications in capacity expansion planning in energy industry, Manuscript, 2012.

2013-05-02T23:59:59.000Z

460

Laser spark distribution and ignition system  

DOE Patents [OSTI]

A laser spark distribution and ignition system that reduces the high power optical requirements for use in a laser ignition and distribution system allowing for the use of optical fibers for delivering the low peak energy pumping pulses to a laser amplifier or laser oscillator. An optical distributor distributes and delivers optical pumping energy from an optical pumping source to multiple combustion chambers incorporating laser oscillators or laser amplifiers for inducing a laser spark within a combustion chamber. The optical distributor preferably includes a single rotating mirror or lens which deflects the optical pumping energy from the axis of rotation and into a plurality of distinct optical fibers each connected to a respective laser media or amplifier coupled to an associated combustion chamber. The laser spark generators preferably produce a high peak power laser spark, from a single low power pulse. The laser spark distribution and ignition system has application in natural gas fueled reciprocating engines, turbine combustors, explosives and laser induced breakdown spectroscopy diagnostic sensors.

Woodruff, Steven (Morgantown, WV); McIntyre, Dustin L. (Morgantown, WV)

2008-09-02T23:59:59.000Z

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


461

Distributed Power Allocation in Prosumer Thiagarajan Ramachandran,  

E-Print Network [OSTI]

Distributed Power Allocation in Prosumer Networks Thiagarajan Ramachandran, Zak Costello, Peter for its solution. We show that the information required by the individual prosumers to solve the problem occurs, the lines between producer and consumer become less clear leading to a hybrid prosumer

Egerstedt, Magnus

462

53-960606-CLN-01 TO: DISTRIBUTION  

E-Print Network [OSTI]

components which are air cooled (the bus bars, cables, and transformers, etc.), their thermal time constants the NSTX pulse. #12;For power supply components which are water cooled (the thyristors and current sharing53-960606-CLN-01 TO: DISTRIBUTION FROM: C NEUMEYER SUBJECT: ROBICON POWER SUPPLY PULSE CAPABILITY

Princeton Plasma Physics Laboratory

463

DISTRIBUTED GENERATION USE AND CONTROL IN BUILDINGS  

E-Print Network [OSTI]

CONTROLS DISTRIBUTED GENERATION USE AND CONTROL IN BUILDINGS ABSTRACT The increasing commercial is designed to continuously minimize energy costs by monitoring utility prices and building demand, while.g., thermal energy storage) have been developed. Measurements of building electrical and thermal demand were

Mease, Kenneth D.

464

22-010524-CLN-01 TO: DISTRIBUTION  

E-Print Network [OSTI]

NSTX 22-010524-CLN-01 TO: DISTRIBUTION FROM: C NEUMEYER SUBJECT: RECOMMENDATIONS TO ENHANCE RELIABILITY OF CHI This memo presents recommendations for equipment and procedural changes to reduce) The TFTR ground monitoring system should be implemented on NSTX ASAP. This system uses transformer coupling

Princeton Plasma Physics Laboratory

465

The Writhe Distribution Of Stretched Polymers  

E-Print Network [OSTI]

Motivated by experiments in which single DNA molecules are stretched and twisted we consider a perturbative approach around very high forces, where we determine the writhe distribution in a simple, analytically tractable model. Our results are in agreement with recent simulations and experiments.

Supurna Sinha

2004-07-05T23:59:59.000Z

466

5, 871901, 2008 distribution in the  

E-Print Network [OSTI]

BGD 5, 871­901, 2008 Aggregates distribution in the South-Eastern Pacific L. Guidi et al. Title Printer-friendly Version Interactive Discussion EGU Biogeosciences Discuss., 5, 871­901, 2008 www.biogeosciences-discuss.net/5/871/2008/ © Author(s) 2008. This work is licensed under a Creative Commons License. Biogeosciences

Paris-Sud XI, Université de

467

The rapid tooling testbed: a distributed  

E-Print Network [OSTI]

the manufacturing activity, and that little additional communication between these activities is necessary. UnderThe rapid tooling testbed: a distributed design-for- manufacturing system David W. Rosen Yong Chen Engineer at 3D Systems, Valencia, California, USA. Shiva Sambu is a Manufacturing Engineer at Align

Chen, Yong

468

Virtualizing Operating Systems for Seamless Distributed Environments  

E-Print Network [OSTI]

Virtualizing Operating Systems for Seamless Distributed Environments 1 Tom Boyd and Partha Dasgupta of the "Computing Communities" project, a joint effort between Arizona State University and New York University. Abstract Applications and operating systems can be augmented with extra functionality by injecting

Dasgupta, Partha

469

A DISTRIBUTED AUTOMATION SYSTEM FOR ELECTROPHYSICAL INSTALLATIONS  

E-Print Network [OSTI]

A DISTRIBUTED AUTOMATION SYSTEM FOR ELECTROPHYSICAL INSTALLATIONS V.R. Kozak Budker Institute There was designed a set of devices for automation systems of physical installations. On this basis approach. KEY WORDS Automation, systems, applications, CANBUS, embedded, controller. 1. Introduction Budker

Kozak, Victor R.

470

DISTRIBUTED EVENT LOCALIZATION AND TRACKING ALGORITHM (DELTA)  

E-Print Network [OSTI]

in a distributed event localization and tracking algorithm (DELTA). DELTA is extended with energy-efficient network management, event classification functionality and an energy based source localization. The energy;#12;Abstract Different approaches to do event detection, tracking, localization and classification have been

Braun, Torsten

471

Distributed Interference Pricing with MISO Channels  

E-Print Network [OSTI]

Distributed Interference Pricing with MISO Channels Changxin Shi, Randall A. Berry, and Michael L an interference channel consisting of multi- input, single-output (MISO) wireless links. The objective generalized to a MISO network, as shown in Sec- tion II. Such an algorithm was previously presented in [3

Kuzmanovic, Aleksandar

472

Optimization Material Distribution methodology: Some electromagnetic examples  

E-Print Network [OSTI]

730 1 Optimization Material Distribution methodology: Some electromagnetic examples P. Boissoles, H. Ben Ahmed, M. Pierre, B. Multon Abstract--In this paper, a new approach towards Optimization Material to be highly adaptive to various kinds of electromagnetic actuator optimization approaches. Several optimal

Paris-Sud XI, Université de

473

Advanced Power Electronic Interfaces for Distributed  

E-Print Network [OSTI]

, and Experimental Evaluation of Advanced Control Functions for Single-Phase Utility-Connected Inverter S Evaluation of Advanced Control Functions for Single-Phase Utility-Connected Inverter S. Chakraborty, BAdvanced Power Electronic Interfaces for Distributed Energy Systems Part 2: Modeling, Development

474

Distributing MCell Simulations on the Grid  

E-Print Network [OSTI]

Distributing MCell Simulations on the Grid Henri Casanova casanova@cs.ucsd.edu Tom Bartol The Computational Grid [21] is a promising platform for the deployment of large-scale scientific and engineering that structure, PSAs are particularly well suited to the Grid infrastructure and can be deployed on very large

Sejnowski, Terrence J.

475

Distribution Category UC-66f F  

Office of Scientific and Technical Information (OSTI)

C00405 1-1 8 Distribution Category UC-66f F o s s i l Superheating i n Geothermal Steam Power P l a n t s by Ronald DiPippo, H. Ezzat Khalifa, Robert J. Correia and Joseph Kestin...

476

Synthesised Constraint Models for Distributed Energy Management  

E-Print Network [OSTI]

generation [1], demand-side manage- ment, or building control software. In a producer-based view, supplySynthesised Constraint Models for Distributed Energy Management Alexander Schiendorfer, Jan frequently encountered in energy management systems such as the coordination of power generators in a virtual

Reif, Wolfgang

477

13-970204-CLN-01 TO: DISTRIBUTION  

E-Print Network [OSTI]

NSTX 13-970204-CLN-01 TO: DISTRIBUTION FROM: C NEUMEYER SUBJECT: PRELIMINARY FMEA OF CENTER STACK Analysis (FMEA) which considers failures within the center stack as well as failures in other elements, the OH coil, the PF1a coil, the PF1b coil, and the Center Stack Casing. A FMEA matrix is presented

Princeton Plasma Physics Laboratory

478

Distributed Spatial Analysis in Wireless Sensor Networks  

E-Print Network [OSTI]

is essential for energy efficiency. In this context, the main contributions of this paper to the literature phenomena (e.g., areas of mist over a cultivated field). The paper then describes distributed.g., whether the mist is adjacent, or inside, or outside a cultivated field) in the specific case where

Fernandes, Alvaro A. A.

479

Greenhouse Gas Abatement with Distributed Generation in California's Commercial Buildings  

E-Print Network [OSTI]

utility electricity and natural gas purchases, amortized capital and maintenance costs for distributed generation (

Stadler, Michael

2010-01-01T23:59:59.000Z

480

An Overview of the Design of Distributed Oz Seif Haridi  

E-Print Network [OSTI]

An Overview of the Design of Distributed Oz Seif Haridi Swedish Institute of Computer Science (SICS a design for a distributed programming sys­ tem, Distributed Oz, that abstracts away the network to be comparable to centralized (i.e., non­distributed) program­ ming. We propose to achieve this by designing

Haridi, Seif

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481

Carbon and Water Resource Management for Water Distribution Systems  

E-Print Network [OSTI]

Reliability Corporation Polyethylene Polyvinyl chloride Society of Environmental Toxicology and Chemistry Water Distribution System

Hendrickson, Thomas Peter

2013-01-01T23:59:59.000Z

482

Adaptive Cruise Control: Hybrid, Distributed, and Now Formally Verified  

E-Print Network [OSTI]

is that faithful models of distributed car control have both distributed systems and hybrid systems dynamics dynamics. Distributed car control follows a hybrid dynamics, because cars move continuously alongAdaptive Cruise Control: Hybrid, Distributed, and Now Formally Verified Sarah M. Loos, Andr

483

Distribution System Voltage Performance Analysis for High-Penetration Photovoltaics  

SciTech Connect (OSTI)

This report examines the performance of commonly used distribution voltage regulation methods under reverse power flow.

Liu, E.; Bebic, J.

2008-02-01T23:59:59.000Z

484

Adaptive Receding Horizon Control of a Distributed Collector Solar Field  

E-Print Network [OSTI]

Adaptive Receding Horizon Control of a Distributed Collector Solar Field J.M. Igreja, J. M. Lemos for a distributed collector solar field which ex- plicitly explores its distributed parameter character. The plant considered is a distributed collector solar field, being described by a nonlinear hyperbolic partial

Sontag, Eduardo

485

Distributed Generation Dispatch Optimization under Various Electricity Tariffs  

E-Print Network [OSTI]

time of use United States Postal Service v Distributed Generation Dispatch Optimization Under Various Electricity Tariffs

Firestone, Ryan; Marnay, Chris

2007-01-01T23:59:59.000Z

486

ETH Zurich Distributed Computing Group Stephan Holzer 1ETH Zurich Distributed Computing www.disco.ethz.ch Stephan Holzer  

E-Print Network [OSTI]

ETH Zurich ­ Distributed Computing Group Stephan Holzer 1ETH Zurich ­ Distributed Computing ­ www on Multiple Channels #12;ETH Zurich ­ Distributed Computing Group Stephan Holzer 2 Problem: Time-Optimal Information Exchange on Multiple Channels n:= # nodes #12;ETH Zurich ­ Distributed Computing Group Stephan

487

ETH Zurich Distributed Computing Group Stephan Holzer 1ETH Zurich Distributed Computing www.disco.ethz.ch Stephan Holzer  

E-Print Network [OSTI]

ETH Zurich ­ Distributed Computing Group Stephan Holzer 1ETH Zurich ­ Distributed Computing ­ www Networks #12;ETH Zurich ­ Distributed Computing Group Stephan Holzer 2 Problem: Self-Monitoring in Dynamic Wireless Networks Who is in the network? O(1)? Update #12;ETH Zurich ­ Distributed Computing Group Stephan

488

Fragment Mass Distribution of Platelike Objects  

SciTech Connect (OSTI)

The fragment mass distributions of platelike objects are investigated by conducting two types of experiments. The first is a {open_quotes}sandwich{close_quote}{close_quote} experiment in which thin glass and plaster plates are inserted between two larger stainless steel plates and an iron projectile is dropped onto the target plate at normal incidence. The second is a {open_quotes}lateral impact{close_quote}{close_quote} experiment in which a hypervelocity nylon projectile collides at the side of the plaster plates. There is a discrepancy in the power-law exponent of fragment mass distribution between the sandwich experiment and the lateral impact experiment. A model that agrees with the experimental results is proposed. {copyright} {ital 1997} {ital The American Physical Society}

Kadono, T. [Institute of Space and Astronautical Science, Kanagawa 229 (Japan)] [Institute of Space and Astronautical Science, Kanagawa 229 (Japan); [and Department of Physics, Kyoto University, Kyoto 606 (Japan)

1997-02-01T23:59:59.000Z

489

New model for nucleon generalized parton distributions  

SciTech Connect (OSTI)

We describe a new type of models for nucleon generalized parton distributions (GPDs) H and E. They are heavily based on the fact nucleon GPDs require to use two forms of double distribution (DD) representations. The outcome of the new treatment is that the usual DD+D-term construction should be amended by an extra term, {xi} E{sub +}{sup 1} (x,{xi}) which has the DD structure {alpha}/{beta} e({beta},{alpha}, with e({beta},{alpha}) being the DD that generates GPD E(x,{xi}). We found that this function, unlike the D-term, has support in the whole -1 <= x <= 1 region. Furthermore, it does not vanish at the border points |x|={xi}.

Radyushkin, Anatoly V. [JLAB, Newport News, VA (United States)

2014-01-01T23:59:59.000Z

490

Dynamic Voltage Regulation Using Distributed Energy Resources  

SciTech Connect (OSTI)

Many distributed energy resources (DE) are near load centres and equipped with power electronics converters to interface with the grid, therefore it is feasible for DE to provide ancillary services such as voltage regulation, nonactive power compensation, and power factor correction. A synchronous condenser and a microturbine with an inverter interface are implemented in parallel in a distribution system to regulate the local voltage. Voltage control schemes of the inverter and the synchronous condenser are developed. The experimental results show that both the inverter and the synchronous condenser can regulate the local voltage instantaneously, while the dynamic response of the inverter is faster than the synchronous condenser; and that integrated voltage regulation (multiple DE perform voltage regulation) can increase the voltage regulation capability, increase the lifetime of the equipment, and reduce the capital and operation costs.

Xu, Yan [ORNL; Rizy, D Tom [ORNL; Li, Fangxing [ORNL; Kueck, John D [ORNL

2007-01-01T23:59:59.000Z

491

Grid integrated distributed PV (GridPV).  

SciTech Connect (OSTI)

This manual provides the documentation of the MATLAB toolbox of functions for using OpenDSS to simulate the impact of solar energy on the distribution system. The majority of the functions are useful for interfacing OpenDSS and MATLAB, and they are of generic use for commanding OpenDSS from MATLAB and retrieving information from simulations. A set of functions is also included for modeling PV plant output and setting up the PV plant in the OpenDSS simulation. The toolbox contains functions for modeling the OpenDSS distribution feeder on satellite images with GPS coordinates. Finally, example simulations functions are included to show potential uses of the toolbox functions. Each function in the toolbox is documented with the function use syntax, full description, function input list, function output list, example use, and example output.

Reno, Matthew J.; Coogan, Kyle [Georgia Institute of Technology, Atlanta, GA

2013-08-01T23:59:59.000Z

492

127 Natural Gas Transmission and Distribution Module  

E-Print Network [OSTI]

and border prices, end-use prices, and flows of natural gas through a regional interstate representative pipeline network, for both a peak (December through March) and off-peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. Natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of the supply options available to bring gas to market centers within each of the NGTDM regions (Figure 9). The major assumptions used within the NGTDM are grouped into four general categories. They relate to (1) structural components of the model, (2) capacity expansion and pricing of transmission and distribution services, (3) Arctic pipelines, and (4) imports and exports. A complete listing of NGTDM assumptions and in-depth

Key Assumptions

493

Generalized parton distributions and exclusive processes  

SciTech Connect (OSTI)

? In last fifteen years, GPDs have emerged as a powerful tool to reveal such aspects of the QCD structure of the nucleon as: - 3D parton correlations and distributions; - spin content of the nucleon. ? Further advances in the field of GPDs and hard exclusive processes rely on: - developments in theory and new methods in phenomenology such as new flexible parameterizations, neural networks, global QCD fits - new high-precision data covering unexplored kinematics: JLab at 6 and 12 GeV, Hermes with recoil detector, Compass, EIC. This slide-show presents: ? Nucleon structure in QCD, particularly hard processes, factorization and parton distributions; and a brief overview of GPD phenomenology, including basic properties of GPDs, GPDs and QCD structure of the nucleon, and constraining GPDs from experiments.

Guzey, Vadim [Hampton U.

2013-10-01T23:59:59.000Z

494

Inhomogeneous distribution of droplets in cloud turbulence  

E-Print Network [OSTI]

We solve the problem of spatial distribution of inertial particles that sediment in turbulent flow with small ratio of acceleration of fluid particles to acceleration of gravity $g$. The particles are driven by linear drag and have arbitrary inertia. The pair-correlation function of concentration obeys a power-law in distance with negative exponent. Divergence at zero signifies singular distribution of particles in space. Independently of particle size the exponent is ratio of integral of energy spectrum of turbulence times the wavenumber to $g$ times numerical factor. We find Lyapunov exponents and confirm predictions by direct numerical simulations of Navier-Stokes turbulence. The predictions include typical case of water droplets in clouds. This significant progress in the study of turbulent transport is possible because strong gravity makes the particle's velocity at a given point unique.

Itzhak Fouxon; Yongnam Park; Roei Harduf; Changhoon Lee

2014-10-30T23:59:59.000Z

495

Energy optimization of water distribution system  

SciTech Connect (OSTI)

In order to analyze pump operating scenarios for the system with the computer model, information on existing pumping equipment and the distribution system was collected. The information includes the following: component description and design criteria for line booster stations, booster stations with reservoirs, and high lift pumps at the water treatment plants; daily operations data for 1988; annual reports from fiscal year 1987/1988 to fiscal year 1991/1992; and a 1985 calibrated KYPIPE computer model of DWSD`s water distribution system which included input data for the maximum hour and average day demands on the system for that year. This information has been used to produce the inventory database of the system and will be used to develop the computer program to analyze the system.

Not Available

1993-02-01T23:59:59.000Z

496

On-shell extension of distributions  

E-Print Network [OSTI]

We consider distributions on $\\R^n\\setminus{0}$ which satisfy a given set of partial differential equations and provide criteria for the existence of extensions to $\\R^n$ that satisfy the same set of equations on $\\R^n$. We use the results to construct distributions satisfying specific renormalisation conditions in the Epstein and Glaser approach to perturbative quantum field theory. Contrary to other approaches, we provide a unified apporach to treat Lorentz covariance, invariance under global gauge group and almost homogeneity, as well as discrete symmetries. We show that all such symmetries can be recovered by applying a linear map defined for all degrees of divergence. Using similar techniques, we find a relation between on-shell and off-shell time-ordered products involving higher derivatives of the fields.

Dorothea Bahns; Micha? Wrochna

2014-05-05T23:59:59.000Z

497

Comfort-constrained distributed heat pump management  

E-Print Network [OSTI]

This paper introduces the design of a demand response network control strategy aimed at thermostatically controlled electric heating and cooling systems in buildings. The method relies on the use of programmable communicating thermostats, which are able to provide important component-level state variables to a system-level central controller. This information can be used to build power density distribution functions for the aggregate heat pump load. These functions lay out the fundamental basis for the methodology by allowing for consideration of customer-level constraints within the system-level decision making process. The proposed strategy is then implemented in a computational model to simulate a distribution of buildings, where the aggregate heat pump load is managed to provide the regulation services needed to successfully integrate wind power generators. Increased exploitation of wind resources will place similarly themed ancillary services in high-demand, traditionally provided by dispatchable energy ...

Parkinson, Simon; Crawford, Curran; Djilali, Ned

2011-01-01T23:59:59.000Z

498

World Class Boilers and Steam Distribution System  

E-Print Network [OSTI]

WORLD CLASS BOILERS AND STEAM DISTRIBUTION SYSTEM Vernon P. Portell, Ph.D. Manager Armstrong Service, Inc. ABSTRACT categorizing, measuring, and comparing subjects which are of interest to us is the way we identify the "World class" is a... of information can also be obtained through an independent firm that provides third-party assessment of steam systems. One of these third parties, Armstrong Energy Certification, Inc., has used data gleaned from decades of industrial experience...

Portell, V. P.

499

13-040528-CLN-01 TO: DISTRIBUTION  

E-Print Network [OSTI]

are shown in the following figure. #12;Pressure Distribution Under No-Load, Nominal, and Lift-Off Conditions 0 5000 10000 15000 20000 25000 30000 0 1 2 3 4 5 6 Height (in) Pressure(psi) No Load Fit to No Load heating at the insert is shown in the following figure (4.5kG/1s, 1.5" liftoff length). #12;Additional

Princeton Plasma Physics Laboratory

500

Statistical assessment of Monte Carlo distributional tallies  

SciTech Connect (OSTI)

Four tests are developed to assess the statistical reliability of distributional or mesh tallies. To this end, the relative variance density function is developed and its moments are studied using simplified, non-transport models. The statistical tests are performed upon the results of MCNP calculations of three different transport test problems and appear to show that the tests are appropriate indicators of global statistical quality.

Kiedrowski, Brian C [Los Alamos National Laboratory; Solomon, Clell J [Los Alamos National Laboratory

2010-12-09T23:59:59.000Z