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Note: This page contains sample records for the topic "aq batch id" 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

DARS BATCH QUICK REFERENCE 1. Log on to http://dars.services.wisc.edu using your NetID and password  

E-Print Network [OSTI]

DARS BATCH QUICK REFERENCE 1. Log on to http://dars.services.wisc.edu using your NetID and password. #12;5. You can monitor the status of your request on the DARS Batch Recent Requests Summary page. a. Contact the DARS administrator if the request is pending their approval. b. Click View Requested Reports

Wisconsin at Madison, University of

2

E-Print Network 3.0 - aq hot aq Sample Search Results  

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

P4... (s) + O2(g)(excess) f) Na(s) + H2O(l) g) Li2O(s) + H2O(l) h) Zn(s) + HCl(aq) i) CaCl2(aq) + NaF(aq) j... solution (propanol is converted ... Source: Hitchcock, Adam P. -...

3

PDSF Interactive Batch Jobs  

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

Interactive Batch Jobs Running Interactive Batch Jobs You cannot login to the PDSF batch nodes directly but you can run an interactive session on a batch node using either qlogin...

4

NDA BATCH 2002-02  

SciTech Connect (OSTI)

QC sample results (daily background checks, 20-gram and 100-gram SGS drum checks) were within acceptable criteria established by WIPP's Quality Assurance Objectives for TRU Waste Characterization. Replicate runs were performed on 5 drums with IDs LL85101099TRU, LL85801147TRU, LL85801109TRU, LL85300999TRU and LL85500979TRU. All replicate measurement results are identical at the 95% confidence level as established by WIPP criteria. Note that the batch covered 5 weeks of SGS measurements from 23-Jan-2002 through 22-Feb-2002. Data packet for SGS Batch 2002-02 generated using gamma spectroscopy with the Pu Facility SGS unit is technically reasonable. All QC samples are in compliance with established control limits. The batch data packet has been reviewed for correctness, completeness, consistency and compliance with WIPP's Quality Assurance Objectives and determined to be acceptable. An Expert Review was performed on the data packet between 28-Feb-02 and 09-Jul-02 to check for potential U-235, Np-237 and Am-241 interferences and address drum cases where specific scan segments showed Se gamma ray transmissions for the 136-keV gamma to be below 0.1 %. Two drums in the batch showed Pu-238 at a relative mass ratio more than 2% of all the Pu isotopes.

Lawrence Livermore National Laboratory

2009-12-09T23:59:59.000Z

5

Don't forget to pick up your U-Pass and SFU student ID card. For Registrar and Information Services desk hours, please refer to http://students.sfu.ca/contact.html.  

E-Print Network [OSTI]

Don't forget to pick up your U-Pass and SFU student ID card. For Registrar and Information Services (Northeast AQ Hallway) Register and pick up your orientation package. Coffee, tea and light breakfast

6

INSTALLATIONAND OPERATING INSTRUCTIONS FOR AQ-1 POWER VENT KIT  

E-Print Network [OSTI]

HEATERS AQUASTAR 125B WATER HEATERS INCLUDING AQUASTAR MODELS: 125HX · 125BS · 125X · 125BL TABLE supplied with the water heater. 2. Before mounting water heater to wall, check its minimum clearance requirements. 3. When using an AQ-1 the maximum horizontal distance from the water heater to the power vent

Kostic, Milivoje M.

7

Submitting Batch Jobs on Franklin  

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

Submitting Batch Jobs Submitting Batch Jobs Debug Jobs Short jobs requesting less than 30 minutes and requiring 512 nodes (2,048 cores) or fewer can run in the debug queue. From...

8

Transferring Data from Batch Jobs at NERSC  

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

Transferring Data from Batch Jobs Transferring Data from Batch Jobs Examples Once you are set up for automatic authentication (see HPSS Passwords) you can access HPSS within batch...

9

Map ID  

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 Surfaces and InterfacesAdministrationManufacturingvitality throughSimulation of theID

10

Example Edison Batch Scripts  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:Epitaxial Thin Film XRDEvan FelixExperimentsExample Batch Scripts

11

Example Hopper Batch Scripts  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:Epitaxial Thin Film XRDEvan FelixExperimentsExample Batch

12

Batch Script Examples  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6 M. Babzien, I. Ben-Zvi, P. Study ofJ UBasicsQueues andBatch

13

PDSF Interactive Batch Jobs  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratorySpeedingOptimizing I/OP-GlycoproteinInteractive Batch Jobs Running

14

NDA BATCH 2009-7  

SciTech Connect (OSTI)

The testing facility is LLNL plutonium facility segmented gamma scanner. 100% of the radioassay data in the batch data report is reviewed.

Lawrence Livermore National Laboratory

2009-10-30T23:59:59.000Z

15

Progressing batch hydrolysis process  

DOE Patents [OSTI]

A progressive batch hydrolysis process is disclosed for producing sugar from a lignocellulosic feedstock. It comprises passing a stream of dilute acid serially through a plurality of percolation hydrolysis reactors charged with feed stock, at a flow rate, temperature and pressure sufficient to substantially convert all the cellulose component of the feed stock to glucose. The cooled dilute acid stream containing glucose, after exiting the last percolation hydrolysis reactor, serially fed through a plurality of pre-hydrolysis percolation reactors, charged with said feedstock, at a flow rate, temperature and pressure sufficient to substantially convert all the hemicellulose component of said feedstock to glucose. The dilute acid stream containing glucose is cooled after it exits the last prehydrolysis reactor.

Wright, J.D.

1985-01-10T23:59:59.000Z

16

Progressing batch hydrolysis process  

DOE Patents [OSTI]

A progressive batch hydrolysis process for producing sugar from a lignocellulosic feedstock, comprising passing a stream of dilute acid serially through a plurality of percolation hydrolysis reactors charged with said feedstock, at a flow rate, temperature and pressure sufficient to substantially convert all the cellulose component of the feedstock to glucose; cooling said dilute acid stream containing glucose, after exiting the last percolation hydrolysis reactor, then feeding said dilute acid stream serially through a plurality of prehydrolysis percolation reactors, charged with said feedstock, at a flow rate, temperature and pressure sufficient to substantially convert all the hemicellulose component of said feedstock to glucose; and cooling the dilute acid stream containing glucose after it exits the last prehydrolysis reactor.

Wright, John D. (Denver, CO)

1986-01-01T23:59:59.000Z

17

Batch compositions for cordierite ceramics  

DOE Patents [OSTI]

Ceramic products consisting principally of cordierite and a method for making them are provided, the method employing batches comprising a mineral component and a chemical component, the mineral component comprising clay and talc and the chemical component consisting essentially of a combination of the powdered oxides, hydroxides, or hydrous oxides of magnesium, aluminum and silicon. Ceramics made by extrusion and firing of the batches can exhibit low porosity, high strength and low thermal expansion coefficients.

Hickman, David L. (Big Flats, NY)

1994-07-26T23:59:59.000Z

18

Vol. 0 18 (??? 2011) VM Shadow: IDS  

E-Print Network [OSTI]

Shadow proc FUSE8) Shadow proc FUSE Shadow proc Transcall U ID stat status U ID U U task struct 5 init task task ID stat status task struct thread group Transcall cmdline 5 task struct Transcall task structVol. 0 1­8 (??? 2011) VM Shadow: IDS 1 1,2 IDS IDS IDS IDS IDS VM Shadow VM Shadow IDS OS proc IDS

Kourai, Kenichi

19

NASA's DISCOVER-AQ and UMD's RAMMPP: Policy relevant science for improving air quality in Maryland  

E-Print Network [OSTI]

NASA's DISCOVER-AQ and UMD's RAMMPP: Policy relevant science for improving air quality in Maryland's air? · Krotkov (11 am) Using OMI (and OMPS) for SO2 emissions. · Kollonige ­ Model sensitivity & O3 In 2010, Maryland implemented the "Healthy Air Act" 4 #12;Power Plant Emissions in Maryland. The following

Jacob, Daniel J.

20

Batch Scheduling with Deadlines on Parallel Machines  

E-Print Network [OSTI]

Batch Scheduling with Deadlines on Parallel Machines Peter Brucker Mikhail Y. Kovalyov, Yakov M of scheduling G groups of jobs on m parallel machines is considered. Each group consists of several identical) and to schedule the batches on the machines. It is possible for different batches of the same group

Magdeburg, Universität

Note: This page contains sample records for the topic "aq batch id" 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

NDA Batch 2002-13  

SciTech Connect (OSTI)

QC sample results (daily background check drum and 100-gram SGS check drum) were within acceptance criteria established by WIPP's Quality Assurance Objectives for TRU Waste Characterization. Replicate runs were performed on drum LL85501243TRU. Replicate measurement results are identical at the 95% confidence level as established by WIPP criteria. HWM NCAR No. 02-1000168 issued on 17-Oct-2002 regarding a partially dislodged Cd sheet filter on the HPGe coaxial detector. This physical geometry occurred on 01-Oct-2002 and was not corrected until 10-Oct-2002, during which period is inclusive of the present batch run of drums. Per discussions among the Independent Technical Reviewer, Expert Reviewer and the Technical QA Supervisor, as well as in consultation with John Fleissner, Technical Point of Contact from Canberra, the analytical results are technically reliable. All QC standard runs during this period were in control. Data packet for SGS Batch 2002-13 generated using passive gamma-ray spectroscopy with the Pu Facility SGS unit is technically reasonable. All QC samples are in compliance with establiShed control limits. The batch data packet has been reviewed for correctness, completeness, consistency and compliance with WIPP's Quality Assurance Objectives and determined to be acceptable.

Hollister, R

2009-09-17T23:59:59.000Z

22

Adding coal dust to coal batch  

SciTech Connect (OSTI)

The granulometric composition of coke dust from the dry-slaking machine is determined. The influence of additions of 3-7% coke dust on the quality of industrial coking batch and the coke obtained by box coking is estimated. Adding 1% coke dust to coking batch does not markedly change the coke quality. Industrial equipment for the supply of dry-slaking dust to the batch is described.

V.S. Shved; A.V.Berezin [OAO Koks, Kemerovo (Russian Federation)

2009-05-15T23:59:59.000Z

23

Department ID Conversion Chart -Boise State University -Revised 7/01 NEW Dept. ID OLD Dept. ID Description  

E-Print Network [OSTI]

Department ID Conversion Chart - Boise State University - Revised 7/01 NEW Dept. ID OLD Dept. ID;Department ID Conversion Chart - Boise State University - Revised 7/01 NEW Dept. ID OLD Dept. ID Description - Cheatgrss 006G106041 00066041 Stat Analysis Grn Strip Mod #9 006G106044 00066044 Threats To Collared Lizards

Barrash, Warren

24

Biological Hydrogen Production Measured in Batch Anaerobic  

E-Print Network [OSTI]

of the energy balance of a global economy (1, 2). Low-cost hydrogen based fuel cells, which have been expensiveBiological Hydrogen Production Measured in Batch Anaerobic Respirometers B R U C E E . L O G A N The biological production of hydrogen from the fermentation of different substrates was examined in batch tests

25

CASCADE OPTIMIZATION AND CONTROL OF BATCH REACTORS  

E-Print Network [OSTI]

CASCADE OPTIMIZATION AND CONTROL OF BATCH REACTORS Xiangming Hua, Sohrab Rohani and Arthur Jutan ajutan@uwo.ca Abstract: In this study, a cascade closed-loop optimization and control strategy for batch reactor. Using model reduction a cascade system is developed, which can effectively combine optimization

Jutan, Arthur

26

EERE Program Management Guide - Appendices A-Q | Department of Energy  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office of Audit ServicesMirantPartners, Inc. |MoneyDoug Hollett,Appendices A-Q EERE Program

27

Optimization of a fed-batch fermentation process control competition ...  

E-Print Network [OSTI]

Keywords: optimal control, fed-batch process, network enabled optimization. 1 INTRODUCTION ... input, the output for each batch would not be the problem is...

2003-07-07T23:59:59.000Z

28

STUDENT ID Page 2 m  

E-Print Network [OSTI]

Write your name, student ID number, recitation instructor's name and recitation time in the space provided above. Also write your name at the top of pages 2, 3,...

29

Data ID Service  

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

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

30

APS Beamline 6-ID-D  

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

MM-Group Home MMG Advisory Committees 6-ID-D Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-D Beamline 6-ID-D is operated by the...

31

ja_post_advisors_batch Page 1 Posting Advisors in Batch  

E-Print Network [OSTI]

ja_post_advisors_batch Page 1 Posting Advisors in Batch Validate that the student does not have the `new' advisor posted. For example, this student currently has one advisor (Advisor Type = ADVR) Alice Turner. Navigation Path: Records and Enrollment ­ Student Background Information ­ Student Advisor Upload

32

How to batch upload video files with Unison How to batch upload video files with Unison  

E-Print Network [OSTI]

How to batch upload video files with Unison How to batch upload video files with Unison There are two different ways to upload already existing video files into Unison: Upload from the New Session page (only allows one video file to be uploaded at a time) Launching the editor in Composer (allows

Benos, Panayiotis "Takis"

33

ID-69 Sodium drain experiments  

SciTech Connect (OSTI)

This paper describes experiments to determine the sodium retention and drainage from the two key areas of an ID-69. This information is then used as the initiation point for guidelines of how to proceed with washing an ID-69 in the IEM Cell Sodium Removal System.

Johnston, D.C.

1996-09-19T23:59:59.000Z

34

Atlas Sodium Automated Batch Synthesis System  

E-Print Network [OSTI]

Atlas Sodium Automated Batch Synthesis System (Syrris) June 2013 #12;Introduction to the system · The Atlas Sodium system consists of an Atlas base equipped with a 400ºC hotplate, a stacking dry bath systemL) for automated addition and/or removal of solution. · The system is computer controlled by the Atlas software

Subramanian, Venkat

35

Integrated Datasets (IDs) Wood/Bretherton proposal  

E-Print Network [OSTI]

Integrated Datasets (IDs) Wood/Bretherton proposal ID Rationale Space/Time scale; Location; Platforms Parameters Combined Drizzle Dataset (CD ID) Collocated precipitation, aerosol and cloud micro, precip. rate, cloud Cross- Section Dataset (XS-ID) Data on E-W cross- section along 20°S from coast

Wood, Robert

36

Review Vendor Payments by Dept ID NUFinancials  

E-Print Network [OSTI]

Review Vendor Payments by Dept ID NUFinancials Purchasing Job Aid Review PaymentsVendorsDeptID Last up payments to vendors by DeptID in NUFinancials. Note: You must have security access authorization search criteria as shown below: #12;Review Vendor Payments by Dept ID NUFinancials Purchasing Job Aid

Shull, Kenneth R.

37

Cognitive Science Minor Approval Form Name __________________________________________ ID # _________________________  

E-Print Network [OSTI]

Cognitive Science Minor Approval Form Name __________________________________________ ID: ___________________________________________________ _______________ Cognitive Science Minor Committee Date

Gering, Jon C.

38

Bull Test ID 1140 2013 Florida Bull Test  

E-Print Network [OSTI]

Bull Test ID 1140 2013 Florida Bull Test #12;Bull Test ID 1141 2013 Florida Bull Test #12;Bull Test ID 1142 2013 Florida Bull Test #12;Bull Test ID 1143 2013 Florida Bull Test #12;Bull Test ID 1144 2013 Florida Bull Test #12;Bull Test ID 1145 2013 Florida Bull Test #12;Bull Test ID 1146 2013 Florida

Jawitz, James W.

39

Bull Test ID 1098 2013 Florida Bull Test  

E-Print Network [OSTI]

Bull Test ID 1098 2013 Florida Bull Test #12;Bull Test ID 1099 2013 Florida Bull Test #12;Bull Test ID 1100 2013 Florida Bull Test #12;Bull Test ID 1101 2013 Florida Bull Test #12;Bull Test ID 1102 2013 Florida Bull Test #12;Bull Test ID 1103 2013 Florida Bull Test #12;Bull Test ID 1104 2013 Florida

Jawitz, James W.

40

Bull Test ID 1181 2013 Florida Bull Test  

E-Print Network [OSTI]

Bull Test ID 1181 2013 Florida Bull Test #12;Bull Test ID 1182 2013 Florida Bull Test #12;Bull Test ID 1183 2013 Florida Bull Test #12;Bull Test ID 1184 2013 Florida Bull Test #12;Bull Test ID 1185 2013 Florida Bull Test #12;Bull Test ID 1186 2013 Florida Bull Test #12;Bull Test ID 1187 2013 Florida

Jawitz, James W.

Note: This page contains sample records for the topic "aq batch id" 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

Bull Test ID 1160 2013 Florida Bull Test  

E-Print Network [OSTI]

Bull Test ID 1160 2013 Florida Bull Test #12;Bull Test ID 1161 2013 Florida Bull Test #12;Bull Test ID 1162 2013 Florida Bull Test #12;Bull Test ID 1163 2013 Florida Bull Test #12;Bull Test ID 1164 2013 Florida Bull Test #12;Bull Test ID 1165 2013 Florida Bull Test #12;Bull Test ID 1166 2013 Florida

Jawitz, James W.

42

Bull Test ID 1118 2013 Florida Bull Test  

E-Print Network [OSTI]

Bull Test ID 1118 2013 Florida Bull Test #12;Bull Test ID 1119 2013 Florida Bull Test #12;Bull Test ID 1120 2013 Florida Bull Test #12;Bull Test ID 1121 2013 Florida Bull Test #12;Bull Test ID 1122 2013 Florida Bull Test #12;Bull Test ID 1123 2013 Florida Bull Test #12;Bull Test ID 1124 2013 Florida

Jawitz, James W.

43

Batch load anaerobic digestion of dairy manure  

E-Print Network [OSTI]

and resource recovery. Anaerobic digestion of manure has re- ceived much attention as a method to reduce the pollution threat to the environment while reclaiming energy in the form of methane gas from the biomass. Currently there is one commercial anaerobic... production than the conventional process used in most studies to date. The objective of this research was to evaluate a batch load digestion process for methane production from dairy manure to determine the optimum influent total solids concentration...

Egg, Richard P

1979-01-01T23:59:59.000Z

44

SLUDGE BATCH 5 SIMULANT FLOWSHEET STUDIES  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF) will transition from Sludge Batch 4 (SB4) processing to Sludge Batch 5 (SB5) processing in early fiscal year 2009. Tests were conducted using non-radioactive simulants of the expected SB5 composition to determine the impact of varying the acid stoichiometry during the Sludge Receipt and Adjustment Tank (SRAT) and Slurry Mix Evaporator (SME) processes. The work was conducted to meet the Technical Task Request (TTR) HLW/DWPF/TTR-2007-0007, Rev. 1 and followed the guidelines of a Task Technical and Quality Assurance Plan (TT&QAP). The flowsheet studies are performed to evaluate the potential chemical processing issues, hydrogen generation rates, and process slurry rheological properties as a function of acid stoichiometry. Initial SB5 flowsheet studies were conducted to guide decisions during the sludge batch preparation process. These studies were conducted with the estimated SB5 composition at the time of the study. The composition has changed slightly since these studies were completed due to changes in the washing plan to prepare SB5 and the estimated SB4 heel mass. Nine DWPF process simulations were completed in 4-L laboratory-scale equipment using both a batch simulant (Tank 51 simulant after washing is complete) and a blend simulant (Tank 40 simulant after Tank 51 transfer is complete). Each simulant had a set of four SRAT and SME simulations at varying acid stoichiometry levels (115%, 130%, 145% and 160%). One additional run was made using blend simulant at 130% acid that included additions of the Actinide Removal Process (ARP) waste prior to acid addition and the Modular Caustic Side Solvent Extraction (CSSX) Unit (MCU) waste following SRAT dewatering. There are several parameters that are noteworthy concerning SB5 sludge: (1) This is the first batch DWPF will be processing that contains sludge that has had a significant fraction of aluminum removed through aluminum dissolution. (2) The sludge is high in mercury. (3) The sludge is high in noble metals. (4) The sludge is high in U and Pu--components that are not added in sludge simulants. Two SB5 processing issues were noted during testing. First, high hydrogen generation rates were measured during experiments with both the blend and batch simulant at high acid stoichiometry. Also, the reflux time was extended due to the high mercury concentration in both the batch and blend simulant. Adding ARP will extend processing times in DWPF. The ARP caustic boil took approximately six hours. The boiling time during the experiment with added MCU was 14 hours at the maximum DWPF steam flux rate. This is comparable to the DWPF processing time for dewatering plus reflux without MCU at a 5000 lbs/hr boil-up rate, but would require significantly more time at boiling at 2000-2500 lbs/hr boil-up rate. The addition of ARP and MCU did not cause any other processing issues, since foaming, rheology and hydrogen generation were less of an issue while processing with ARP/MCU.

Lambert, D; Michael Stone, M; Bradley Pickenheim, B; David Best, D; David Koopman, D

2008-10-03T23:59:59.000Z

45

Conversion of batch to molten glass, I: Volume expansion  

SciTech Connect (OSTI)

Batches designed to simulate nuclear high-level waste glass were compressed into pellets that were heated at a rate of 5C/min and photographed to obtain the profile area as a function of temperature. Three types of batches were prepared with different nitrate-carbonate ratios. To determine the impact of the heat supply by an exothermic reaction and the batch expansion, the nitrated batches were prepared with varying addition of sucrose. To obtain the impact of the grain size of the quartz component, the mixed nitrate-carbonate batches were prepared with silica particles ranging in size from 5 m to 195 m. One batch containing only carbonates was also tested. Sucrose addition had little effect on the batch expansion, while the size of silica was very influential. The 5-?m grains had a strongest effect, causing the generation of both primary and secondary foam, whereas only secondary foam was produced in batches with grains of 45 m and larger. The retention of gases evolved as the batch melts creates primary foam. Gases evolved from oxidation-reduction reactions once the batch has melted produce secondary foam. We suggest that the viscosity of the melt and the amount of gas evolved are the main influences on foam production. As more gas is produced in the melt and as the glass becomes less viscous, the bubbles of gas coalesce into larger and larger cavities, until the glass can no longer contain the bubbles and they burst, causing the foam to collapse.

Henager, Samuel H.; Hrma, Pavel R.; Swearingen, Kevin J.; Schweiger, Michael J.; Marcial, Jose; Tegrotenhuis, Nathan E.

2011-02-01T23:59:59.000Z

46

Bull Test ID 1077 2013 Florida Bull Test  

E-Print Network [OSTI]

14th Annual Florida Bull Test #12;Bull Test ID 1077 2013 Florida Bull Test #12;Bull Test ID 1078 2013 Florida Bull Test #12;Bull Test ID 1079 2013 Florida Bull Test #12;Bull Test ID 1080 2013 Florida Bull Test #12;Bull Test ID 1081 2013 Florida Bull Test #12;Bull Test ID 1082 2013 Florida Bull Test #12

Jawitz, James W.

47

DOWNSTREAM MOVEMENT OF SALMON IDS  

E-Print Network [OSTI]

DOWNSTREAM MOVEMENT OF SALMON IDS AT BONNEVILLE DAM Marine Biological Laboratory APR 1 7 1958 WOODS Washington, D. C January 1958 #12;ABSTRACT At Bonneville Deun most downstream-migrant salmonlds were ca TABLES 1. Hourly catches of downstream-migrant seLLmonids in 1952. Each hour represents the suomation

48

Name: SU ID: Phone: Email  

E-Print Network [OSTI]

Name: SU ID: Phone: Email: Today's Date: Month/YrB.S. expected: Mathematics and Science Requirement for Computer Scientists (see note 3) 5 STAT One of: Stat 141, 203, 205, 215, 225 Mathematics Unit Total (23 (I.e., 22 units min. for track and elective courses). Students who complete STATS 116, MS&E 120

Pratt, Vaughan

49

Name: SU ID: Phone: Email  

E-Print Network [OSTI]

Name: SU ID: Phone: Email: Today's Date: Month/YrB.S. expected: Mathematics and Science Requirement for Computer Scientists(see note 3) 5 STAT One of: Stat 141, 203, 205, 215, 225 3 to 5 Mathematics Unit Total complete STATS 116, MS&E 120, or CME 106 in Winter 2008-09 or earlier may count that course as satisfying

Pratt, Vaughan

50

Dynamic Control for Batch Process Systems Using Stochastic Utility Evaluation  

E-Print Network [OSTI]

single turn; 3. once in operation, it is not possible to shut down a furnace, e.g., to take corrective measures; and 4. batching takes approximately 5 to 10 times longer than serial processing. Products can be processed either as a full batch (the... maximum number of products, i.e. the full capacity of the processor) or as a partial batch. The full batch condition poses fewer decision-making problems since management is needed only to determine which product type has priority in processing...

Park, Hongsuk

2012-10-19T23:59:59.000Z

51

Uranium and Strontium Batch Sorption and Diffusion Kinetics into...  

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

Uranium and Strontium Batch Sorption and Diffusion Kinetics into Mesoporous Silica Friday, February 27, 2015 Figure 1 Figure 1. Transmission electron microscopy images of (A)...

52

Elink Batch Upload Instructions | OSTI, US Dept of Energy, Office...  

Office of Scientific and Technical Information (OSTI)

includes reporting for contract proposals, funding status, routine construction or inventory, and similar products. AN 241.1 Submission Options Batch Upload allows you to upload...

53

Reducing variance in batch partitioning measurements  

SciTech Connect (OSTI)

The partitioning experiment is commonly performed with little or no attention to reducing measurement variance. Batch test procedures such as those used to measure K{sub d} values (e.g., ASTM D 4646 and EPA402 -R-99-004A) do not explain how to evaluate measurement uncertainty nor how to minimize measurement variance. In fact, ASTM D 4646 prescribes a sorbent:water ratio that prevents variance minimization. Consequently, the variance of a set of partitioning measurements can be extreme and even absurd. Such data sets, which are commonplace, hamper probabilistic modeling efforts. An error-savvy design requires adjustment of the solution:sorbent ratio so that approximately half of the sorbate partitions to the sorbent. Results of Monte Carlo simulations indicate that this simple step can markedly improve the precision and statistical characterization of partitioning uncertainty.

Mariner, Paul E.

2010-08-11T23:59:59.000Z

54

Materials selection for kraft batch digesters  

SciTech Connect (OSTI)

Several candidate materials were evaluated by corrosion testing in autoclaves containing white and black liquors for batch digesters. The relationship between corrosion rate and corrosion potential was determined for ASTM SA516-Grade 70 carbon steel, UNS S30403 (Type 304L) austenitic stainless steel, UNS S31803 (2205) and UNS S32550 (2605) duplex stainless steels, and two stainless steel weld overlays, applied by the GMAW (gas metal arc welding) and SAW (submerged arc welding) processes. The tests revealed that SA516-Grade 70 carbon steel and type 304L stainless steel can experience high rates of corrosion. For the duplex stainless steels and weld overlays, corrosion resistance improved with chromium content. A chromium content of at least 25% was found to be necessary for good corrosion resistance.

Wensley, A. [Bacon Donaldson Consulting Engineers, Richmond, British Columbia (Canada); Moskal, M. [Stone Container Corp., Burr Ridge, IL (United States); Wilton, W. [Stone-Consolidated Corp., Fort Frances, Ontario (Canada)

1997-08-01T23:59:59.000Z

55

EFFECT OF GLASS-BATCH MAKEUP ON THE MELTING PROCESS  

SciTech Connect (OSTI)

The response of a glass batch to heating is determined by the batch makeup and in turn determines the rate of melting. Batches formulated for a high-alumina nuclear waste to be vitrified in an all-electric melter were heated at a constant temperature-increase rate to determine changes in melting behavior in response to the selection of batch chemicals and silica grain-size as well as the addition of heat-generating reactants. The type of batch materials and the size of silica grains determine how much, if any, primary foam occurs during melting. Small quartz grains, 5 {micro}m in size, caused extensive foaming because their major portion dissolved at temperatures <800 C, contributing to the formation of viscous glass forming melt that trapped evolving batch gases. Primary foam did not occur in batches with larger quartz grains, {+-}75 {micro}m in size, because their major portion dissolved at temperatures >800 C when batch gases no longer evolved. The exothermal reaction of nitrates with sucrose was ignited at a temperature as low as 160 C and caused a temporary jump in temperature of several hundred degrees. Secondary foam, the source of which is oxygen from redox reactions, occurred in all batches of a limited composition variation involving five oxides, B{sub 2}O{sub 3}, CaO, Li{sub 2}O, MgO, and Na{sub 2}O. The foam volume at the maximum volume-increase rate was a weak function of temperature and melt basicity. Neither the batch makeup nor the change in glass composition had a significant impact on the dissolution of silica grains. The impacts of primary foam generation on glass homogeneity and the rate of melting in large-scale continuous furnaces have yet to be established via mathematical modeling and melter experiments.

KRUGER AA; HRMA P

2010-12-07T23:59:59.000Z

56

27-ID and 35-ID Construction Schedule | Advanced Photon Source  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H.CarbonMarch Value ofRPT-55983,7 Long27-ID

57

REQUEST FOR TRAVEL AUTHORIZATION Document ID #  

E-Print Network [OSTI]

REQUEST FOR TRAVEL AUTHORIZATION Document ID # Name: UTEID: Travel Dates: Begin: End: Destination," please allow one month for processssing. Helpful Information: Navigant (Travel Management) (512

Texas at Austin, University of

58

4-ID-D Instrumentation  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H.CarbonMarch Value4 3.P D ATFOR 4-ID-D

59

4-ID-D optics  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H.CarbonMarch Value4 3.P D ATFOR 4-ID-D

60

Microsoft Word - DOE-ID-INL-12-015.doc  

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

(AST) Site ID 7230Facility ID 6-120614Tank ID 05MFC00035 and replace the two tanks with a 10,000 gallon aboveground storage tank (AST) split tank (5,000 gallons for...

Note: This page contains sample records for the topic "aq batch id" 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

Radionuclide migration laboratory studies for validation of batch sorption data  

SciTech Connect (OSTI)

Advective and diffusive migration experiments (within the Dynamic Transport Column Experiments and Diffusion Studies of the Yucca Mountain Site Characterization Project) involve utilizing crushed material, intact, and fractured tuff in order to test and improve (if necessary) transport models by experimentally observing the migration of sorbing and non-sorbing radionuclides on a laboratory scale. Performing a validation of the sorption data obtained with batch techniques (within the Batch Sorption Study) is an integral part of the mission of the Dynamic Transport Column Experiments and Diffusion Studies. In this paper the work scope of the radionuclide migration laboratory experiments (as they apply to validation of batch sorption data) is reviewed.

Triay, I.R.; Mitchell, A.J.; Ott, M.A.

1991-12-31T23:59:59.000Z

62

E-Print Network 3.0 - aerated fed-batch reactor Sample Search...  

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

Very High Ethanol Performance in Saccha- romyces cereVisiae Fed-Batch Process... ARTICLES Optimization of Fed-Batch Saccharomyces cereWisiae Fermentation Using Dynamic Flux...

63

2/21/2014 terragreen.teriin.org/popup.php?section_id=1905&category_id=10 http://terragreen.teriin.org/popup.php?section_id=1905&category_id=10 1/2  

E-Print Network [OSTI]

2/21/2014 terragreen.teriin.org/popup.php?section_id=1905&category_id=10 http://terragreen.teriin.org/popup.php in the material because of the durable nickel alloy and smart aerodynamic design. #12;2/21/2014 terragreen.teriin.org/popup.php?section_id=1905&category_id=10 http://terragreen.teriin.org/popup.php?section_id=1905&category_id=10 2/2 "The

Chiao, Jung-Chih

64

College of Design ID Interior Design  

E-Print Network [OSTI]

College of Design ID Interior Design KEY: # = new course * = course changed = course dropped University of Kentucky 2013-2014 Undergraduate Bulletin 1 ID 101 INTRODUCTION TO INTERIOR DESIGN. (1) An introduction to the profession of Interior Design: historical perspective, career specializations, and career

MacAdam, Keith

65

Reporting Tools Course ID: FMS121  

E-Print Network [OSTI]

Reporting Tools Course ID: FMS121 PS Query 03/31/2009 © 2009 Northwestern University FMS121 0 Introduction to Query For Query Developers Query is an ad-hoc reporting tool that allows you to retrieve data will have access to both query viewer and query manager pages. #12;Reporting Tools Course ID: FMS121 PS

Shull, Kenneth R.

66

Reporting Tools Course ID: FMS121  

E-Print Network [OSTI]

Reporting Tools Course ID: FMS121 PS Query 03/31/2009 © 2009 Northwestern University FMS121 0 Introduction to Query For Query Viewers Query is an ad-hoc reporting tool that allows you to retrieve data will have access to both query viewer and query manager pages. #12;Reporting Tools Course ID: FMS121 PS

Shull, Kenneth R.

67

Kentucky WRI Pilot Test Universal ID  

E-Print Network [OSTI]

Kentucky WRI Pilot Test ­ Universal ID Commercial Motor Vehicle Roadside Technology Corridor Safety Universal ID Pilot TestKentucky Pilot Test #12;Kentucky Pilot Test (Not to Scale) Sorter WIM USDOT Reader >>>> Park/Proceed Signs Mainline >>>> #12;Kentucky Pilot Test · Information is captured from the commercial

68

Durability of Diesel Engine Particulate Filters (Agreement ID...  

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

Durability of Diesel Engine Particulate Filters (Agreement ID:10461) Durability of Diesel Engine Particulate Filters (Agreement ID:10461) 2013 DOE Hydrogen and Fuel Cells Program...

69

SLUDGE BATCH 7B GLASS VARIABILITY STUDY  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF) is preparing to initiate processing Sludge Batch 7b (SB7b). In support of the upcoming processing, the Savannah River National Laboratory (SRNL) provided a recommendation to utilize Frits 418 with a 6% Na{sub 2}O addition (26 wt% Na{sub 2}O in sludge) and 702 with a 4% Na{sub 2}O addition (24 wt% Na{sub 2}O in sludge) to process SB7b. This recommendation was based on assessments of the compositional projections for SB7b available at the time from the Savannah River Remediation (SRR). To support qualification of SB7b, SRNL executed a variability study to assess the applicability of the current durability models for SB7b. The durability models were assessed over the expected composition range of SB7b, including potential caustic additions, combined with Frits 702 and 418 over a 32-40% waste loading (WL) range. Thirty four glasses were selected based on Frits 418 and 702 coupled with the sludge projections with an additional 4-6% Na{sub 2}O to reflect the potential caustic addition. Six of these glasses, based on average nominal sludge compositions including the appropriate caustic addition, were developed for both Frit 418 and Frit 702 at 32, 36 and 40% WL to provide coverage in the center of the anticipated SB7b glass region. All glasses were fabricated and characterized using chemical composition analysis, X-ray diffraction (XRD) and the Product Consistency Test (PCT). To comply with the DWPF Glass Product Control Program, a total of thirty four glasses were fabricated to assess the applicability of the current DWPF PCCS durability models. Based on the measured PCT response, all of the glasses were acceptable with respect to the Environmental Assessment (EA) benchmark glass regardless of thermal history. The NL[B] values of the SB7b variability study glasses were less than 1.99 g/L as compared to 16.695 g/L for EA. A small number of the D-optimally selected 'outer layer' extreme vertices (EV) glasses were not predictable using the current Product Composition Control System (PCCS) models for durability, but were acceptable compared to the EA glass when tested. These glasses fell outside of the lower 95% confidence band, which demonstrates conservatism in the model. A few of the glasses fell outside of the upper 95% confidence band; however, these particular glasses have normalized release values that were much lower than the values of EA and should be of no practical concern. Per the requirements of the DWPF Glass Product Control Program, the PCCS durability models have been shown to be applicable to the SB7b sludge system with a range of Na{sub 2}O concentrations blended with Frits 418 or 702. PCT results from the glasses fabricated as part of the variability study were shown to be predictable by the current DWPF PCCS models and/or acceptable with respect to the EA benchmark glass regardless of thermal history or compositional view.

Johnson, F.; Edwards, T.

2011-10-25T23:59:59.000Z

70

Id-1 and Id-2 genes and products as markers of epithelial cancer  

DOE Patents [OSTI]

A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

Desprez, Pierre-Yves (El Cerrito, CA); Campisi, Judith (Berkeley, CA)

2011-10-04T23:59:59.000Z

71

Id-1 and Id-2 genes and products as markers of epithelial cancer  

DOE Patents [OSTI]

A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

Desprez, Pierre-Yves (El Cerrito, CA); Campisi, Judith (Berkeley, CA)

2008-09-30T23:59:59.000Z

72

____________________Rowan ID# K. Bryant 3/2013  

E-Print Network [OSTI]

____________________Rowan ID# K. Bryant 3/2013 Private/Alternative Education Loan Understanding receipt) the form to: Cooper Medical School of Rowan University, Office of Financial Aid Kyhna Bryant

Rusu, Adrian

73

Document ID: POLUMITPUR01702 Information Technology  

E-Print Network [OSTI]

Document ID: POLUMITPUR01702 Information Technology Supersedes: POLUMITPUR01701 Effective Date: 02 Sep 2014 Page 1 of 5 Document Title: Purchasing Computerized Systems/Software Applications Miletic Manager Quality Assurance Research Compliance and Quality Assurance Made revisions based

Shyu, Mei-Ling

74

List of Accepted Summer Interns (2013) May-June Batch  

E-Print Network [OSTI]

) Dr. Tung-Yuan Ho CBMB Nid** Pash*** (INDIA) Dr. Keng-Hui Lin ESS Pong*** Polsom**** (THAILAND) Dr 14 Interns 12 PIs June-July Batch Program Intern Mentor ESS SOU*** KUM** SAH** (INDIA) Dr. Wu* (MALAYSIA) Ko** Yeo** Kha* (MALAYSIA) Dr. Yun-Ru Ruby Chen ESS Yu** Cél** Kita**** (JAPAN) Dr. Danie Mao

75

Improving SSL Handshake Performance via Batching Hovav Shacham Dan Boneh  

E-Print Network [OSTI]

Improving SSL Handshake Performance via Batching Hovav Shacham Dan Boneh hovav@cs.stanford.edu dabo@cs.stanford.edu Abstract We present an algorithmic approach for speeding up SSL's performance on a web server. Our approach improves the performance of SSL's handshake protocol by up to a factor of 2.5 for 1024-bit RSA keys

Boneh, Dan

76

Batching Work and Rework Processes with Limited Deterioration of Reworkables  

E-Print Network [OSTI]

to be reworked such that a given number of good quality items is produced and total setup, rework, inventory, all items of a batch are manufactured and good quality items go to the inventory to satisfy given reworked item has the required good quality. During waiting for rework, defective items deteriorate

Magdeburg, Universität

77

Separation of Azeotropic Mixtures in Closed Batch Distillation Arrangements  

E-Print Network [OSTI]

Separation of Azeotropic Mixtures in Closed Batch Distillation Arrangements S. Skouras and S to obtain a light and a heavy fraction simultaneously from the top and the bottom of the column, while an intermediate fraction may also be recovered in the middle vessel. Two modifications of the multivessel

Skogestad, Sigurd

78

VSched: Mixing Batch And Interactive Virtual Machines Using  

E-Print Network [OSTI]

the user in direct control of scheduling #12;4 Virtuoso: VM-based Distributed Computing User Orders a raw work · Putting the user in direct control of scheduling #12;12 Periodic Real-time Scheduling ModelVSched: Mixing Batch And Interactive Virtual Machines Using Periodic Real-time Scheduling Bin Lin

Kuzmanovic, Aleksandar

79

SLUDGE WASHING AND DEMONSTRATION OF THE DWPF FLOWSHEET IN THE SRNL SHIELDED CELLS FOR SLUDGE BATCH 7A QUALIFICATION  

SciTech Connect (OSTI)

Waste Solidification Engineering (WSE) has requested that characterization and a radioactive demonstration of the next batch of sludge slurry (Sludge Batch 7a*) be completed in the Shielded Cells Facility of the Savannah River National Laboratory (SRNL) via a Technical Task Request (TTR). This characterization and demonstration, or sludge batch qualification process, is required prior to transfer of the sludge from Tank 51 to the Defense Waste Processing Facility (DWPF) feed tank (Tank 40). The current WSE practice is to prepare sludge batches in Tank 51 by transferring sludge from other tanks. Discharges of nuclear materials from H Canyon are often added to Tank 51 during sludge batch preparation. The sludge is washed and transferred to Tank 40, the current DWPF feed tank. Prior to transfer of Tank 51 to Tank 40, SRNL simulates the Tank Farm and DWPF processes with a Tank 51 sample (referred to as the qualification sample). Sludge Batch 7a (SB7a) is composed of portions of Tanks 4, 7, and 12; the Sludge Batch 6 heel in Tank 51; and a plutonium stream from H Canyon. SRNL received the Tank 51 qualification sample (sample ID HTF-51-10-125) following sludge additions to Tank 51. This report documents: (1) The washing (addition of water to dilute the sludge supernate) and concentration (decanting of supernate) of the SB7a - Tank 51 qualification sample to adjust sodium content and weight percent insoluble solids to Tank Farm projections. (2) The performance of a DWPF Chemical Process Cell (CPC) simulation using the washed Tank 51 sample. The simulation included a Sludge Receipt and Adjustment Tank (SRAT) cycle, where acid was added to the sludge to destroy nitrite and reduce mercury, and a Slurry Mix Evaporator (SME) cycle, where glass frit was added to the sludge in preparation for vitrification. The SME cycle also included replication of five canister decontamination additions and concentrations. Processing parameters were based on work with a non-radioactive simulant. (3) Vitrification of a portion of the SME product and characterization and durability testing (as measured by the Product Consistency Test (PCT)) of the resulting glass. (4) Rheology measurements of the initial slurry samples and samples after each phase of CPC processing. This program was controlled by a Task Technical and Quality Assurance Plan (TTQAP), and analyses were guided by an Analytical Study Plan. This work is Technical Baseline Research and Development (R&D) for the DWPF. It should be noted that much of the data in this document has been published in interoffice memoranda. The intent of this technical report is bring all of the SB7a related data together in a single permanent record and to discuss the overall aspects of SB7a processing.

Pareizs, J.; Billings, A.; Click, D.

2011-07-08T23:59:59.000Z

80

pH control of a fed batch reactor with precipitation J. Barraud a  

E-Print Network [OSTI]

pH control of a fed batch reactor with precipitation J. Barraud a , Y. Creff a , N. Petit b,* a IFP of controlling the pH, in a fed batch reactor where precipitation occurs, is con- sidered. Due to the batch Keywords: pH control Fed batch process Precipitation a b s t r a c t In this paper, the problem

Note: This page contains sample records for the topic "aq batch id" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

ID Nom Prnom Groupe 11206695 ABDOU CHAFIN B  

E-Print Network [OSTI]

ID Nom Prénom Groupe 11206695 ABDOU CHAFIN B 11207912 ABDOU-RAZACK AIDIDE D 11207680 ACOLATSE REGIS

Mironescu, Petru

82

A batch reactor heat recovery challenge problem Johannes Jschke, Sigurd Skogestad  

E-Print Network [OSTI]

A batch reactor heat recovery challenge problem Johannes Jäschke, Sigurd Skogestad Department a challenge problem for maximizing the heat recovery in a heat exchanger network connected to a set of batch periods of the batch reactors, the reactor effluents are fed into the secondary sides of the heat

Skogestad, Sigurd

83

A Conceptual Model for Production Leveling (Heijunka) Implementation in Batch Production Systems  

E-Print Network [OSTI]

A Conceptual Model for Production Leveling (Heijunka) Implementation in Batch Production Systems for batch production system. The main structure of this model is grounded on three constructs: traditional developed for batch production systems. Then, case study guidelines were applied to define an appropriate

Paris-Sud XI, Université de

84

ID3, SEQUENTIAL BAYES, NAIVE BAYES AND BAYESIAN NEURAL NETWORKS  

E-Print Network [OSTI]

to ID3. ID3 learning algorithm (Quinlan 1979) and its successors ACLS (Paterson & Niblett 1982), C4#cient in many learning tasks. It is shown how Sequential Bayes can be transformed into ID3 by replacing of network's execution (Kononenko 1989) enables the us­ age of a neural network as an expert system shell

Kononenko, Igor

85

Optimal IDS Sensor Placement And Alert Prioritization Using Attack Graphs  

E-Print Network [OSTI]

1 Optimal IDS Sensor Placement And Alert Prioritization Using Attack Graphs Steven Noel and Sushil optimally place intrusion detection system (IDS) sensors and prioritize IDS alerts using attack graph. The set of all such paths through the network constitutes an attack graph, which we aggregate according

Noel, Steven

86

Batch polymerization of styrene initiated by alkyl lithiums  

E-Print Network [OSTI]

-butyl lithium using cyclohexane as the solvent, The polymerization is carried out in an isothermal batch reactor at a temperature of. 5D C. The proposed reaction proceeds by a homogenous anionic mechanism. The mathematical model developed by Edgar (6.... Bottles for Polymerization Reaction The reaction bottles used were twenty-six ounce coke bottles. The following procedure was adopted: First, clean the bottles thoroughly with soap and water. Then, rinse them with distilled water. Dry them overnight...

Desai, Rashmi R

1970-01-01T23:59:59.000Z

87

Dynamic Control of Serial-batch Processing Systems  

E-Print Network [OSTI]

measures are selected over other possible measures due to their prevalent use by semiconductor manufacturing management as production performance indicators in the long-run (month/quarter) (Pfund et al. (2006)). The research domain... of incompatible product types and different batch process times. The static problem has been shown NP-hard for total completion time (Chandru et al. (1993a)), makespan (Uzsoy (1994)) and total tardiness (Mehta and Uzsoy (1998)) criteria. The dynamic problem has...

Cerekci, Abdullah

2010-01-14T23:59:59.000Z

88

SLUDGE BATCH 4 SIMULANT FLOWSHEET STUDIES: PHASE II RESULTS  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF) will transition from Sludge Batch 3 (SB3) processing to Sludge Batch 4 (SB4) processing in early fiscal year 2007. Tests were conducted using non-radioactive simulants of the expected SB4 composition to determine the impact of varying the acid stoichiometry during the Sludge Receipt and Adjustment Tank (SRAT) process. The work was conducted to meet the Technical Task Request (TTR) HLW/DWPF/TTR-2004-0031 and followed the guidelines of a Task Technical and Quality Assurance Plan (TT&QAP). The flowsheet studies are performed to evaluate the potential chemical processing issues, hydrogen generation rates, and process slurry rheological properties as a function of acid stoichiometry. Initial SB4 flowsheet studies were conducted to guide decisions during the sludge batch preparation process. These studies were conducted with the estimated SB4 composition at the time of the study. The composition has changed slightly since these studies were completed due to changes in the sludges blended to prepare SB4 and the estimated SB3 heel mass. The following TTR requirements were addressed in this testing: (1) Hydrogen and nitrous oxide generation rates as a function of acid stoichiometry; (2) Acid quantities and processing times required for mercury removal; (3) Acid quantities and processing times required for nitrite destruction; and (4) Impact of SB4 composition (in particular, oxalate, manganese, nickel, mercury, and aluminum) on DWPF processing (i.e. acid addition strategy, foaming, hydrogen generation, REDOX control, rheology, etc.).

Stone, M; David Best, D

2006-09-12T23:59:59.000Z

89

11. CONTRACT ID CODE IPAG~ OF PAGES  

E-Print Network [OSTI]

11. CONTRACT ID CODE IPAG~ OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I 2 2. MODIFICATION OF CONTRACT/ ORDER NO. DUNS # 032987476 DE-AC05-76RL01830l8l 10B. DATED (SEE ITEM 13) CODE ONLY TO MODIFICATIONS OF CONTRACTS/ORDERS. IT MODIFIES THE CONTRACT/ORDER NO. AS SET FORTH IN ITEM 14

90

Master Project Assessment Form Student: ID number  

E-Print Network [OSTI]

Master Project Assessment Form Student: ID number: Master Program: Graduation supervisor Graduation presentation Defense Execution of the project Grade Signature of supervisor Date * Hand in at the student administration (MF 3.068) together with an official result form (uitslagbon) #12;"Master Project

Franssen, Michael

91

Name: SU ID: Email: Local Phone  

E-Print Network [OSTI]

Name: SU ID: Email: Local Phone: Date: Date B.S. expected: Mathematics and Science Requirement (see note 3) 5 STAT One of: Stat 141, 203, 205, 215, 225 3 to 5 Mathematics Unit Total (23 units office. Students who complete STATS 116, MS&E 120, or CME 106 in Winter 2008-09 or earlier may count

Pratt, Vaughan

92

Name: SU ID: Email: Local Phone  

E-Print Network [OSTI]

Name: SU ID: Email: Local Phone: Date: Date B.S. expected: Mathematics and Science Requirement (see note 3) 5 STAT One of: Stat 141, 203, 205, 215, 225 3 to 5 Mathematics Unit Total (23 units by the Computer Science undergraduate program office. Students who complete STATS 116, MS&E 120, or CME 106

Pratt, Vaughan

93

Name: SU ID: Email: Local Phone  

E-Print Network [OSTI]

Name: SU ID: Email: Local Phone: Date: Date B.S. expected: Mathematics and Science Requirement Introduction to Probability for Computer Scientists (see note 3) 5 STAT One of: Stat 141, 203, 205, 215, 225 3. Students who complete STATS 116, MS&E 120, or CME 106 in Winter 2008-09 or earlier may count that course

Pratt, Vaughan

94

Mercury Chamber NF-IDS Meeting  

E-Print Network [OSTI]

-Battelle for the U.S. Department of Energy Mercury Chamber Update Oct 2011 Starting Point: Coil and Shielding Concept IDS120H #12;3 Managed by UT-Battelle for the U.S. Department of Energy Mercury Chamber Update Oct 2011 · Penetrations (ports) into chamber ­ Nozzle ­ Hg drains (overflow and maintenance) ­ Vents (in and out) ­ Beam

McDonald, Kirk

95

Article ID #eqr106 REPLACEMENT STRATEGIES  

E-Print Network [OSTI]

Article ID #eqr106 REPLACEMENT STRATEGIES Elmira Popova Associate Professor, Department)-296-5795 e-mail: popovai@seattleu.edu Corresponding Contributor: Elmira Popova Keywords: Replacement Policies define what is a replacement policy for a system that fails randomly in time and its main characteristics

Popova, Elmira

96

Using The Batch System: Univa Grid Engine (UGE)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II Field Emission SEMUsedUserUsingelectronEnergyThe Batch

97

Mixing Up a Batch of Stronger Metals | ornl.gov  

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 PreliminaryA3,0StatementsMixing Up a Batch of Stronger

98

Microsoft Word - U(VI)andSr(II)BatchSorption bh  

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

C and D point towards some of the precipitates. Uranium and Strontium Batch Sorption and Diffusion Kinetics into Mesoporous Silica Important reactive phenomena that affect the...

99

,"Eastport, ID Natural Gas Pipeline Imports From Canada (MMcf...  

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

Imports From Canada (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Eastport, ID...

100

Microsoft Word - DOE-ID-INL-12-021.docx  

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

DOE-ID-INL-12-021 SECTION A. Project Title: High Frequency Sounder - Permanent Installation at Water Reactor Research Test Facility (WRRTF) SECTION B. Project Description: The...

Note: This page contains sample records for the topic "aq batch id" 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

Field Experience/Internship Proposal Student's Name:_____________________________________ ID#:_____________________  

E-Print Network [OSTI]

Field Experience/Internship Proposal Student's Name:_____________________________________ ID:________________________ Email:______________________________________________ Internship Site Supervisor's Name and Title:___________________________________________________________ Course Information (Internship/Field Experience/Independent Study) (Where applicable) Course name

New Hampshire, University of

102

FLOWSHEET FOR ALUMINUM REMOVAL FROM SLUDGE BATCH 6  

SciTech Connect (OSTI)

Samples of Tank 12 sludge slurry show a substantially larger fraction of aluminum than originally identified in sludge batch planning. The Liquid Waste Organization (LWO) plans to formulate Sludge Batch 6 (SB6) with about one half of the sludge slurry in Tank 12 and one half of the sludge slurry in Tank 4. LWO identified aluminum dissolution as a method to mitigate the effect of having about 50% more solids in High Level Waste (HLW) sludge than previously planned. Previous aluminum dissolution performed in a HLW tank in 1982 was performed at approximately 85 C for 5 days and dissolved nearly 80% of the aluminum in the sludge slurry. In 2008, LWO successfully dissolved 64% of the aluminum at approximately 60 C in 46 days with minimal tank modifications and using only slurry pumps as a heat source. This report establishes the technical basis and flowsheet for performing an aluminum removal process in Tank 51 for SB6 that incorporates the lessons learned from previous aluminum dissolution evolutions. For SB6, aluminum dissolution process temperature will be held at a minimum of 65 C for at least 24 days, but as long as practical or until as much as 80% of the aluminum is dissolved. As planned, an aluminum removal process can reduce the aluminum in SB6 from about 84,500 kg to as little as 17,900 kg with a corresponding reduction of total insoluble solids in the batch from 246,000 kg to 131,000 kg. The extent of the reduction may be limited by the time available to maintain Tank 51 at dissolution temperature. The range of dissolution in four weeks based on the known variability in dissolution kinetics can range from 44 to more than 80%. At 44% of the aluminum dissolved, the mass reduction is approximately 1/2 of the mass noted above, i.e., 33,300 kg of aluminum instead of 66,600 kg. Planning to reach 80% of the aluminum dissolved should allow a maximum of 81 days for dissolution and reduce the allowance if test data shows faster kinetics. 47,800 kg of the dissolved aluminum will be stored in Tank 8 and 21,000 kg will be stored in saltcake via evaporation. Up to 77% of the total aluminum planned for SB6 may be removed via aluminum dissolution. Storage of the aluminum-laden supernate in Tank 8 will require routine evaluation of the free hydroxide concentration in order to maintain aluminum in solution. Periodic evaluation will be established on concurrent frequency with corrosion program samples as previously established for aluminum-laden supernate from SB5 that is stored in Tank 11.

Pike, J; Jeffrey Gillam, J

2008-12-17T23:59:59.000Z

103

Id-1 and Id-2 genes and products as therapeutic targets for treatment of breast cancer and other types of carcinoma  

DOE Patents [OSTI]

A method for treatment and amelioration of breast, cervical, ovarian, endometrial, squamous cells, prostate cancer and melanoma in a patient comprising targeting Id-1 or Id-2 gene expression with a delivery vehicle comprising a product which modulates Id-1 or Id-2 expression.

Desprez, Pierre-Yves; Campisi, Judith

2014-09-30T23:59:59.000Z

104

Uranium Adsorption on Granular Activated Carbon Batch Testing  

SciTech Connect (OSTI)

The uranium adsorption performance of two activated carbon samples (Tusaar Lot B-64, Tusaar ER2-189A) was tested using unadjusted source water from well 299-W19-36. These batch tests support ongoing performance optimization efforts to use the best material for uranium treatment in the Hanford Site 200 West Area groundwater pump-and-treat system. A linear response of uranium loading as a function of the solution-to-solid ratio was observed for both materials. Kd values ranged from ~380,000 to >1,900,000 ml/g for the B-64 material and ~200,000 to >1,900,000 ml/g for the ER2-189A material. Uranium loading values ranged from 10.4 to 41.6 ?g/g for the two Tusaar materials.

Parker, Kent E.; Golovich, Elizabeth C.; Wellman, Dawn M.

2013-09-26T23:59:59.000Z

105

4-ID-D User FAQs  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H.CarbonMarch Value4 3.P D ATFOR 4-ID-D

106

4-ID-D User's Manual  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H.CarbonMarch Value4 3.P D ATFOR 4-ID-D

107

7-ID Home Page | Advanced Photon Source  

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

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108

Data ID Service | DOE Data Explorer  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOffice ofINL is aID Service First DOI for a DOEOSTI's

109

APS Beamline 6-ID-B,C  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See95TI07)Operations2AP-XPS Measures MIEC5Diagnostics6-ID-B,C

110

Property:DSIRE/Id | Open Energy Information  

Open Energy Info (EERE)

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

111

A role for transcriptional regulator Id2 in natural killer T cells  

E-Print Network [OSTI]

proteins (Id) 14-16 . Id proteins lack the DNA bindingto analyze protein expression directly. Due to the lack of aprotein-2 (Id2) fail to develop natural killer cells, CD8? + dendritic cells, ?? IELs, Langerhans cells, and lack

Monticelli, Laurel Anne

2008-01-01T23:59:59.000Z

112

Waste-heat recovery in batch processes using heat storage  

SciTech Connect (OSTI)

The waste-heat recovery in batch processes has been studied using the pinch-point method. The aim of the work has been to investigate theoretical and practical approaches to the design of heat-exchanger networks, including heat storage, for waste-heat recovery in batch processes. The study is limited to the incorporation of energy-storage systems based on fixed-temperature variable-mass stores. The background for preferring this to the alternatives (variable-temperature fixed-mass and constant-mass constant-temperature (latent-heat) stores) is given. It is shown that the maximum energy-saving targets as calculated by the pinch-point method (time average model, TAM) can be achieved by locating energy stores at either end of each process stream. This theoretically large number of heat-storage tanks (twice the number of process streams) can be reduced to just a few tanks. A simple procedure for determining a number of heat-storage tanks sufficient to achieve the maximum energy-saving targets as calculated by the pinch-point method is described. This procedure relies on combinatorial considerations, and could therefore be labeled the combinatorial method for incorporation of heat storage in heat-exchanger networks. Qualitative arguments justifying the procedure are presented. For simple systems, waste-heat recovery systems with only three heat-storage temperatures (a hot storage, a cold storage, and a heat store at the pinch temperature) often can achieve the maximum energy-saving targets. Through case studies, six of which are presented, it is found that a theoretically large number of heat-storage tanks (twice the number of process streams) can be reduced to just a few tanks. The description of these six cases is intended to be sufficiently detailed to serve as benchmark cases for development of alternative methods.

Stoltze, S.; Mikkelsen, J.; Lorentzen, B.; Petersen, P.M.; Qvale, B. [Technical Univ. of Denmark, Lyngby (Denmark). Lab. for Energetics

1995-06-01T23:59:59.000Z

113

Integration of the Mini-Sulfide Sulfite Anthraquinone (MSS-AQ) Pulping Process and Black Liquor Gasification in a Pulp Mill  

SciTech Connect (OSTI)

As many of the recovery boilers and other pieces of large capital equipment of U.S. pulp mills are nearing the end of their useful life, the pulp and paper industry will soon need to make long-term investments in new technologies. The ability to install integrated, complete systems that are highly efficient will impact the industrys energy use for decades to come. Developing a process for these new systems is key to the adoption of state-of-the-art technologies in the Forest Products industry. This project defined an integrated process model that combines mini-sulfide sulfite anthraquinone (MSS-AQ) pulping and black liquor gasification with a proprietary desulfurization process developed by the Research Triangle Institute. Black liquor gasification is an emerging technology that enables the use of MSS-AQ pulping, which results in higher yield, lower bleaching cost, lower sulfur emissions, and the elimination of causticization requirements. The recently developed gas cleanup/absorber technology can clean the product gas to a state suitable for use in a gas turbine and also regenerate the pulping chemicals needed to for the MSS-AQ pulping process. The combination of three advanced technologies into an integrated design will enable the pulping industry to achieve a new level of efficiency, environmental performance, and cost savings. Because the three technologies are complimentary, their adoption as a streamlined package will ensure their ability to deliver maximum energy and cost savings benefits. The process models developed by this project will enable the successful integration of new technologies into the next generation of chemical pulping mills. When compared to the Kraft reference pulp, the MSS-AQ procedures produced pulps with a 10-15 % yield benefit and the ISO brightness was 1.5-2 times greater. The pulp refined little easier and had a slightly lower apparent sheet density (In both the cases). At similar levels of tear index the MSS-AQ pulps also produced a comparable tensile and burst index pulps. Product gas composition determined using computer simulations The results demonstrate that RVS-1 can effectively remove > 99.8% of the H2S present in simulated synthesis gas generated from the gasification of black liquor. This level of sulfur removal was consistent over simulated synthesis gas mixtures that contained from 6 to 9.5 vol % H2S.A significant amount of the sulfur in the simulated syngas was recovered as SO2 during regeneration. The average recovery of sulfur as SO2 was about 75%. Because these are first cycle results, this sulfur recovery is expected to improve. Developed WINGems model of the process.The total decrease in variable operating costs for the BLG process compared to the HERB was in excess of $6,200,000 per year for a mill producing 350,000 tons of pulp per year. This represents a decrease in operating cost of about $17.7/ton of oven dry pulp produced. There will be additional savings in labor and maintenance cost that has not been taken into account. The capital cost for the MSSAQ based gasifier system was estimated at $164,000,000, which is comparable to a High Efficiency Recovery Boiler. The return on investment was estimated at 4%. A gasifier replacement cannot be justified on its own, however if the recovery boiler needs to be replaced the MSSAQ gasifier system shows significantly higher savings. Before black liquor based gasifer technology can be commercialized more work is necessary. The recovery of the absorbed sulfur in the absorbent as sulfur dioxide is only 75%. This needs to be greater than 90% for economical operation. It has been suggested that as the number of cycles is increased the sulfur dioxide recovery might improve. Further research is necessary. Even though a significant amount of work has been done on a pilot scale gasifiers using liquors containing sulfur, both at low and high temperatures the lack of a commercial unit is an impediment to the implementation of the MSSAQ technology. The implementation of a commercial unit needs to be facilated before the benefits of

Hasan Jameel, North Carolina State University; Adrianna Kirkman, North Carolina State University; Ravi Chandran,Thermochem Recovery International Brian Turk Research Triangle Institute; Brian Green, Research Triangle Institute

2010-01-27T23:59:59.000Z

114

University of Connecticut New Vendor Form Taxpayer ID # SSN  

E-Print Network [OSTI]

University of Connecticut New Vendor Form Taxpayer ID # SSN FEIN UCONN Student PeopleSoft ID SSN/FEIN (last four digits only) Purchase Order Vendor Business/Individual Legal Name Business Name , Trade Name not attach documents to vendor e-doc that contain sensitive information e.g. social security number Fax

Lozano-Robledo, Alvaro

115

Efficient DHT attack mitigation through peers' ID distribution  

E-Print Network [OSTI]

Efficient DHT attack mitigation through peers' ID distribution Thibault Cholez, Isabelle Chrisment.festor}@loria.fr Abstract--We present a new solution to protect the widely deployed KAD DHT against localized attacks which DHT attacks by comparing real peers' ID distributions to the theoretical one thanks to the Kullback

Paris-Sud XI, Université de

116

Robust controller design for temperature tracking problems in jacketed batch reactors  

E-Print Network [OSTI]

Robust controller design for temperature tracking problems in jacketed batch reactors Vishak for temperature tracking problems in batch reactors in the presence of parametric uncertainty. The controller has]. Control is achieved by manipulating the heat content from the jacket to the reactor. In the past

Palanki, Srinivas

117

APPLIED MICROBIAL AND CELL PHYSIOLOGY Electricity production from xylose in fed-batch  

E-Print Network [OSTI]

-batch and continuous-flow microbial fuel cells Liping Huang & Bruce E. Logan Received: 23 March 2008 /Revised: 30 May-scale (0.77 l) air-cathode, brush- anode microbial fuel cell (MFC) operated in fed-batch mode using xylose vary with xylose loading. Keywords Microbial fuel cell . Xylose . Degradation . Power production

118

Production Leveling (Heijunka) Implementation in a Batch Production System: a Case Study  

E-Print Network [OSTI]

Production Leveling (Heijunka) Implementation in a Batch Production System: a Case Study Luciano a case study of an implementation of a new method for Production Leveling designed for batch production. It includes prioritizing criteria of products and level production plan. Moreover, it was applied

Boyer, Edmond

119

Optimal Production Planning Models for Parallel Batch Reactors with Sequence-dependent Changeovers  

E-Print Network [OSTI]

1 Optimal Production Planning Models for Parallel Batch Reactors with Sequence planning of parallel multi-product batch reactors with sequence-dependent changeovers, a challenging of number of products, reactors or length of the time horizon, we propose a decomposition technique based

Grossmann, Ignacio E.

120

Integrated Design, Operation and Control of Batch Extractive Distillation with a Middle Vessel  

E-Print Network [OSTI]

into a number of product fractions in a single batch column whereas, in continuous distillation several columnsIntegrated Design, Operation and Control of Batch Extractive Distillation with a Middle Vessel E. K distillation for separating homogeneous minimum-boiling azeotropic mixtures, where the extractive agent

Skogestad, Sigurd

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121

Optimization of Fed-Batch Saccharomyces cereWisiae Fermentation Using Dynamic Flux Balance Models  

E-Print Network [OSTI]

ARTICLES Optimization of Fed-Batch Saccharomyces cereWisiae Fermentation Using Dynamic Flux Balance metabolism with dynamic mass balances on key extracellular species. Model-based dynamic optimization concentration profiles, and the final batch time are treated as decision variables in the dynamic optimization

Mountziaris, T. J.

122

Production of Cellulase on Mixtures of Xylose and Cellulose in a Fed-Batch Process  

E-Print Network [OSTI]

saccharification to sugars for ethanol production. In the past decade, enzymatic hydrolysis of cellulose hasProduction of Cellulase on Mixtures of Xylose and Cellulose in a Fed-Batch Process Ali Mohagheghi was studied in a fed-batch system. An initial mixture of 30 g/L xylose and 20 g/L cellulose

California at Riverside, University of

123

Intelligent monitoring system for long-term control of Sequencing Batch Reactors  

E-Print Network [OSTI]

Instruments Italy to test the potentials of monitoring systems applied to biological wastewater treatment Sequencing Batch Reactors (SBRs) are widely used as a flexible and low-cost process for biological wastewater-scale Sequencing Batch Reactor (SBR) treating nitrogen-rich wastewater (sanitary landfill leachate). The paper

124

Design, implementation, and operation of a class based batch queue scheduler for VAX/VMS  

SciTech Connect (OSTI)

Fermilab found that the standard VMS batch configuration options were inadequate for the job mix that exists on the Fermilab central computer facility VAX cluster. Accordingly, Fermilab designed and implemented a class based batch queue scheduler. This scheduler makes use of the standard VMS job controller and batch system. Users interact with the scheduler at job submission time by specification of CPU time limits and batch job characteristics. This scheduler allows Fermilab to make efficient use of our large heterogeneous VAX cluster which contains machines ranging from a VAX 780 to a VAX 8800. The scheduler was implemented using the VMS system services $GETQUI and $SNDJBC, without changes to the existing VMS job scheduler. As a result, the scheduler should remain compatible with future VMS versions. This session will discuss the design goals, implementation, and operational experience with Fermilab's class based batch queue scheduler.

Chadwick, K.

1988-05-20T23:59:59.000Z

125

REPORTABLE RADIONUCLIDES IN DWPF SLUDGE BATCH 7A (MACROBATCH 8)  

SciTech Connect (OSTI)

The Waste Acceptance Product Specifications (WAPS) 1.2 require that the waste producer 'shall report the curie inventory of radionuclides that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115.' As part of the strategy to meet WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type all radionuclides that have half-lives longer than 10 years and contribute greater than 0.01 percent of the total curie inventory from the time of production through the 1100 year period from 2015 through 3115. The initial list of radionuclides to be reported is based on the design-basis glass identified in the Waste Form Compliance Plan (WCP) and Waste Form Qualification Report. However, it is required that the list be expanded if other radionuclides with half-lives greater than 10 years are identified that meet the 'greater than 0.01% of the curie inventory' criterion. Specification 1.6 of the WAPS, International Atomic Energy Agency Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, and U-238; and Pu-238, Pu-239, Pu-240, Pu-241, and Pu-242. Therefore, the complete list of reportable radionuclides must also include these sets of U and Pu isotopes - and the U and Pu isotopic mass distributions must be identified. The DWPF receives HLW sludge slurry from Savannah River Site (SRS) Tank 40. For Sludge Batch 7a (SB7a), the waste in Tank 40 contained a blend of the heel from Sludge Batch 6 (SB6) and the Sludge Batch 7 (SB7) material transferred to Tank 40 from Tank 51. This sludge blend is also referred to as Macrobatch 8. Laboratory analyses of a Tank 40 sludge sample were performed to quantify the concentrations of pertinent radionuclides in the SB7a waste. Subsequently, radiological decay and in-growth were calculated over the time period from 2015 to 3115. This provided a basis for characterizing the radionuclide content of SB7a over time and for identifying the 'reportable radionuclides.' Details of the characterization methodology and the analytical results are the focus of this report. This work was performed at the request of the Waste Solidification Engineering Department of Savannah River Remediation, initiated via Technical Task Request (TTR) HLW-DWPF-TTR-2010-0031. A minor revision in the reporting requirements was requested via a subsequent email communication. The work was conducted in accordance with the protocols identified in Task Technical and Quality Assurance Plan SRNL-RP-2010-01218 and Analytical Study Plan SRNL-RP-2010-01219. All of the raw data related to this scope have been recorded in laboratory notebook SRNL-NB-2011-00061. The overall goal of this task was to characterize the radionuclide content of the SB7a waste sufficiently to meet the WAPS and DWPF reporting requirements. The specific objectives were: (1) Quantify the current concentrations of all radionuclides impacting (or potentially-impacting) the total curie content between calendar years 2011 and 3115. Also quantify the current concentrations of other radionuclides specifically requested in the TTR or required by the WAPS. (2) Calculate future concentrations of decayed and in-grown radionuclides impacting the total curie content between calendar years 2015 and 3115; (3) Identify as 'reportable' all radionuclides contributing {ge} 0.01% of the total curie content from 2015 to 3115 and having half-lives {ge} 10 years.

Reboul, S.; Diprete, D.; Click, D.; Bannochie, C.

2011-12-20T23:59:59.000Z

126

SLUDGE BATCH 7 PREPARATION TANK 4 AND 12 CHARACTERIZATION  

SciTech Connect (OSTI)

Samples of PUREX sludge from Tank 4 and HM sludge from Tank 12 were characterized in preparation for Sludge Batch 7 (SB7) formulation in Tank 51. SRNL analyses on Tank 4 and Tank 12 were requested in separate Technical Assistance Requests (TAR). The Tank 4 samples were pulled on January 19, 2010 following slurry operations by F-Tank Farm. The Tank 12 samples were pulled on February 9, 2010 following slurry operations by H-Tank Farm. At the Savannah River National Laboratory (SRNL), two 200 mL dip samples of Tank 4 and two 200 mL dip samples of Tank 12 were received in the SRNL Shielded Cells. Each tank's samples were composited into clean 500 mL polyethylene storage bottles and weighed. The composited Tank 4 sample was 428.27 g and the composited Tank 12 sample was 502.15 g. As expected there are distinct compositional differences between Tank 4 and Tank 12 sludges. The Tank 12 slurry is much higher in Al, Hg, Mn, and Th, and much lower in Fe, Ni, S, and U than the Tank 4 slurry. The Tank 4 sludge definitely makes the more significant contribution of S to any sludge batch blend. This S, like that observed during SB6 washing, is best monitored by looking at the total S measured by digesting the sample and analyzing by inductively coupled plasma - atomic emission spectroscopy (ICPAES). Alternatively, one can measure the soluble S by ICP-AES and adjust the value upward by approximately 15% to have a pretty good estimate of the total S in the slurry. Soluble sulfate measurements by ion chromatography (IC) will be biased considerably lower than the actual total S, the difference being due to the non-sulfate soluble S and the undissolved S. Tank 12 sludge is enriched in U-235, and hence samples transferred into SRNL from the Tank Farm will need to be placed on the reportable special nuclear material inventory and tracked for total U per SRNL procedure requirements.

Bannochie, C.; Click, D.; Pareizs, J.

2010-05-21T23:59:59.000Z

127

Statistical Review of Data from DWPF's Process Samples for Batches 19 Through 30  

SciTech Connect (OSTI)

The measurements derived from samples taken during the processing of batches 19 through 30 at the Defense Waste Processing Facility (DWPF) affords an opportunity for review and comparisons. This report has looked at some of the statistics from these data. Only the data reported by the DWPF lab (that is, the data provided by the lab as representative of the samples taken) are available for this analysis. In some cases, the sample results reported may be a subset of the sample results generated by the analytical procedures. A thorough assessment of the DWPF lab's analytical procedures would require the complete set of data. Thus, the statistics reported here, specifically, as they relate to analytical uncertainties, are limited to the reported data for these samples, A fell for the consistency of the incoming slurry is the estimation of the components of variation for the Sludge Receipt and Adjustment Tank (SRAT) receipts. In general, for all of the vessels, the data from batches after 21 show smaller batch-to-batch variation than the data from all the batches. The relative contributions of batch-to-batch versus residual, which includes analytical, are presented in these analyses.

Edwards, T.B.

1999-04-06T23:59:59.000Z

128

Property:RAPID/Contact/ID3/Name | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/Website PropertyID2/WebsiteID3/Name

129

Property:RAPID/Contact/ID5/Email | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/WebsiteID3/Phone PropertyID5/Email

130

Tc-99 Adsorption on Selected Activated Carbons - Batch Testing Results  

SciTech Connect (OSTI)

CH2M HILL Plateau Remediation Company (CHPRC) is currently developing a 200-West Area groundwater pump-and-treat system as the remedial action selected under the Comprehensive Environmental Response, Compensation, and Liability Act Record of Decision for Operable Unit (OU) 200-ZP-1. This report documents the results of treatability tests Pacific Northwest National Laboratory researchers conducted to quantify the ability of selected activated carbon products (or carbons) to adsorb technetium-99 (Tc-99) from 200-West Area groundwater. The Tc-99 adsorption performance of seven activated carbons (J177601 Calgon Fitrasorb 400, J177606 Siemens AC1230AWC, J177609 Carbon Resources CR-1240-AW, J177611 General Carbon GC20X50, J177612 Norit GAC830, J177613 Norit GAC830, and J177617 Nucon LW1230) were evaluated using water from well 299-W19-36. Four of the best performing carbons (J177606 Siemens AC1230AWC, J177609 Carbon Resources CR-1240-AW, J177611 General Carbon GC20X50, and J177613 Norit GAC830) were selected for batch isotherm testing. The batch isotherm tests on four of the selected carbons indicated that under lower nitrate concentration conditions (382 mg/L), Kd values ranged from 6,000 to 20,000 mL/g. In comparison. Under higher nitrate (750 mg/L) conditions, there was a measureable decrease in Tc-99 adsorption with Kd values ranging from 3,000 to 7,000 mL/g. The adsorption data fit both the Langmuir and the Freundlich equations. Supplemental tests were conducted using the two carbons that demonstrated the highest adsorption capacity to resolve the issue of the best fit isotherm. These tests indicated that Langmuir isotherms provided the best fit for Tc-99 adsorption under low nitrate concentration conditions. At the design basis concentration of Tc 0.865 g/L(14,700 pCi/L), the predicted Kd values from using Langmuir isotherm constants were 5,980 mL/g and 6,870 mL/g for for the two carbons. These Kd values did not meet the target Kd value of 9,000 mL/g. Tests conducted to ascertain the effects of changing pH showed that at pH values of 6.5 and 7.5, no significant differences existed in Tc-adsorption performance for three of the carbons, but the fourth carbon performed better at pH 7.5. When the pH was increased to 8.5, a slight decline in performance was observed for all carbons. Tests conducted to ascertain the temperature effect on Tc-99 adsorption indicated that at 21 C, 27 C, and 32 C there were no significant differences in Tc-99 adsorption for three of the carbons. The fourth carbon showed a noticeable decline in Tc-99 adsorption performance with increasing temperature. The presence of volatile organic compounds (VOCs) in the source water did not significantly affect Tc-99 adsorption on either of two carbons tested. Technetium-99 adsorption differed by less than 15% with or without VOCs present in the test water, indicating that Tc-99 adsorption would not be significantly affected if VOCs were removed from the water prior to contact with carbon.

Mattigod, Shas V.; Wellman, Dawn M.; Golovich, Elizabeth C.; Cordova, Elsa A.; Smith, Ronald M.

2010-12-01T23:59:59.000Z

131

Microsoft Word - DOE-ID-INL-13-025.doc  

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

4 EC Document No.: DOE-ID-INL-13-025 SECTION A. Project Title: Willow Creek Building Pedestrian Bridge Replacement SECTION B. Project Description: The purpose and need for the...

132

Microsoft Word - DOE-ID-INL-12-016.doc  

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

No.: DOE-ID-INL-12-016 SECTION A. Project Title: Reverse Osmosis System Removal SECTION B. Project Description: The project will remove a reverse osmosis water treatment system...

133

Microsoft Word - DOE-ID-INL-13-026.docx  

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

1 EC Document No.: DOE-ID-INL-13-026 SECTION A. Project Title: Relief Valve Test Stand Relocation SECTION B. Project Description: The scope of this modification is to relocate the...

134

Microsoft Word - DOE-ID-INL-13-013.docx  

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

NEPA CX DETERMINATION Idaho National Laboratory Page 2 of 2 CX Posting No.: DOE-ID-INL-13-013 References: 10 CFR 1021, Appendix B to Subpart D item B2.2 "Building and...

135

Countercurrent Enzymatic Saccharification of Lignocellulosic Biomass and Improvements Over Batch Operation  

E-Print Network [OSTI]

of starchy biomass (e.g., corn), which competes with food. Using lignocellulose avoids competition with food; however, it is difficult to digest using traditional batch saccharification. This work investigates countercurrent saccharification as an alternative...

Zentay, Agustin Nicholas

2014-05-05T23:59:59.000Z

136

Nitrate and sulphate dynamics in peat subjected to different hydrological conditions: Batch experiments and field comparison  

E-Print Network [OSTI]

Nitrate and sulphate dynamics in peat subjected to different hydrological conditions: Batch concentrations were investigated in bioreactors, using peat samples from field sites influenced by different hydrologic regimes. In this experiment, peat samples were subjected to similar conditions to address

Paris-Sud XI, Universit de

137

Property:RAPID/Contact/ID3/Email | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/Website PropertyID2/Website

138

Property:RAPID/Contact/ID3/Website | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/WebsiteID3/Phone Property

139

Property:RAPID/Contact/ID5/Name | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/WebsiteID3/Phone

140

COTS FPGA/SRAM Irradiations Using a Dedicated Testing Infrastructure for Characterization of Large Component Batches  

E-Print Network [OSTI]

This paper introduces a new testing platform for irradiation of large batches of COTS FPGA and SRAMs. The main objective is measurement of component radiation response and assessment of component-to-component variability within one batch. The first validation and test results using the testing platform are presented for 150nm TFT SRAM (Renesas) and different sizes of the 130nm ProASIC3 FPGA (Microsemi).

Slawosz, Uznanski; Johannes, Walter; Andrea, Vilar-Villanueva

2015-01-01T23:59:59.000Z

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141

Isotopic Fractionation of Mg2+(aq), Ca2+(aq), and Fe2+(aq) with Carbonate  

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

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

142

SLUDGE BATCH 6/TANK 40 SIMULANT CHEMICAL PROCESS CELL SIMULATIONS  

SciTech Connect (OSTI)

Phase III simulant flowsheet testing was completed using the latest composition estimates for SB6/Tank 40 feed to DWPF. The goals of the testing were to determine reasonable operating conditions and assumptions for the startup of SB6 processing in the DWPF. Testing covered the region from 102-159% of the current DWPF stoichiometric acid equation. Nitrite ion concentration was reduced to 90 mg/kg in the SRAT product of the lowest acid run. The 159% acid run reached 60% of the DWPF Sludge Receipt and Adjustment Tank (SRAT) limit of 0.65 lb H2/hr, and then sporadically exceeded the DWPF Slurry Mix Evaporator (SME) limit of 0.223 lb H2/hr. Hydrogen generation rates peaked at 112% of the SME limit, but higher than targeted wt% total solids levels may have been partially responsible for rates seen. A stoichiometric factor of 120% met both objectives. A processing window for SB6 exists from 102% to something close to 159% based on the simulant results. An initial recommendation for SB6 processing is at 115-120% of the current DWPF stoichiometric acid equation. The addition of simulated Actinide Removal Process (ARP) and Modular Caustic Side Solvent Extraction Unit (MCU) streams to the SRAT cycle had no apparent impact on the preferred stoichiometric factor. Hydrogen generation occurred continuously after acid addition in three of the four tests. The three runs at 120%, 118.4% with ARP/MCU, and 159% stoichiometry were all still producing around 0.1 lb hydrogen/hr at DWPF scale after 36 hours of boiling in the SRAT. The 120% acid run reached 23% of the SRAT limit and 37% of the SME limit. Conversely, nitrous oxide generation was subdued compared to previous sludge batches, staying below 29 lb/hr in all four tests or about a fourth as much as in comparable SB4 testing. Two processing issues, identified during SB6 Phase II flowsheet testing and qualification simulant testing, were monitored during Phase III. Mercury material balance closure was impacted by acid stoichiometry, and significant mercury was not accounted for in the highest acid run. Coalescence of elemental mercury droplets in the mercury water wash tank (MWWT) appeared to degrade with increasing stoichiometry. Observations were made of mercury scale formation in the SRAT condenser and MWWT. A tacky mercury amalgam with Rh, Pd, and Cu, plus some Ru and Ca formed on the impeller at 159% acid. It contained a significant fraction of the available Pd, Cu, and Rh as well as about 25% of the total mercury charged. Free (elemental) mercury was found in all of the SME products. Ammonia scrubbers were used during the tests to capture off-gas ammonia for material balance purposes. Significant ammonium ion formation was again observed during the SRAT cycle, and ammonia gas entered the off-gas as the pH rose during boiling. Ammonium ion production was lower than in the SB6 Phase II and the qualification simulant testing. Similar ammonium ion formation was seen in the ARP/MCU simulation as in the 120% flowsheet run. A slightly higher pH caused most of the ammonium to vaporize and collect in the ammonia scrubber reflux solution. Two periods of foaminess were noted. Neither required additional antifoam to control the foam growth. A steady foam layer formed during reflux in the 120% acid run. It was about an inch thick, but was 2-3 times more volume of bubbles than is typically seen during reflux. A similar foam layer also was seen during caustic boiling of the simulant during the ARP addition. While frequently seen with the radioactive sludge, foaminess during caustic boiling with simulants has been relatively rare. Two further flowsheet tests were performed and will be documented separately. One test was to evaluate the impact of process conditions that match current DWPF operation (lower rates). The second test was to evaluate the impact of SRAT/SME processing on the rheology of a modified Phase III simulant that had been made five times more viscous using ultrasonication.

Koopman, David

2010-04-28T23:59:59.000Z

143

RAPID/Roadmap/14-ID-f | 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 revisionEnvReviewNonInvasiveExploration JumpSanyalTempWellheadWahkiakum CountyPzero-FD-b34-HI-b NPDES4-ID-c4-ID-f

144

Property:RAPID/Contact/ID2/Phone | Open Energy Information  

Open Energy Info (EERE)

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145

Property:RAPID/Contact/ID2/Website | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/Website PropertyID2/Website Property

146

Property:RAPID/Contact/ID3/Phone | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/WebsiteID3/Phone Property Type String

147

Property:RAPID/Contact/ID3/Position | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/WebsiteID3/Phone Property Type

148

Property:RAPID/Contact/ID5/Organization | 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 CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/WebsiteID3/PhoneOrganization"

149

RAPID/Roadmap/14-ID-b | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado < RAPID‎ |1-TX-a13-ID-a State14-FD-c EPA4-ID-b

150

RAPID/Roadmap/18-ID-d | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado <17-HI-a < RAPID‎ | Roadmap8-FD-cc8-ID-c8-ID-d

151

SEARLE SCHOLARS PROGRAM (http://www.searlescholars.net/go.php?id=23)  

E-Print Network [OSTI]

SEARLE SCHOLARS PROGRAM (http://www.searlescholars.net/go.php?id=23) The University of Pittsburgh at http://www.searlescholars.net/go.php?id=49. The University is invited to submit one nomination

Sibille, Etienne

152

Design and Optimization of Condenser and Centrifuge Units for Enhancement of a Batch Vacuum Frying System  

E-Print Network [OSTI]

of vacuum frying can be a feasible alternative method to produce chips with lower oil content and high quality color and texture (Garayo and Moreira, 2002). 7 Figure 2-1 displays the use of different deep-fat fryers in the commercial food industry.... Countertops are generally used in homes, while high efficiency batch fryers are employed in commercial (McDonalds, KFC, etc.) food services as well as industries (Frito Lay, Pringles, etc.). Application of a batch fryer is limited to frying small loads...

Pandey, Akhilesh

2011-02-22T23:59:59.000Z

153

UGA ID Number Last Name First MI Academic Term THE UNIVERSITY OF GEORGIA  

E-Print Network [OSTI]

UGA ID Number Last Name First MI Academic Term THE UNIVERSITY OF GEORGIA APPLICATION TO MAKE LATE's Office UGA ID Number Last Name First MI Academic Term THE UNIVERSITY OF GEORGIA APPLICATION TO MAKE LATE's Office UGA ID Number Last Name First MI Academic Term THE UNIVERSITY OF GEORGIA APPLICATION TO MAKE LATE

Arnold, Jonathan

154

ATLAS ID Upgrade R&D Plan: Development of a Short-Strip Silicon Detector Module  

E-Print Network [OSTI]

ATLAS ID Upgrade R&D Plan: Development of a Short-Strip Silicon Detector Module and a Frontend of the optimum technology and layout of the tracking detectors for the upgraded ATLAS ID. The goal for the intermediate tracking region in the upgraded ATLAS ID. We anticipate that much of the work would then also

California at Santa Cruz, University of

155

TidFP: Mining Frequent Patterns in Different Databases with Transaction ID  

E-Print Network [OSTI]

techniques as well as sequential mining. Keywords: Data mining, Transaction id, Frequent PatternsTidFP: Mining Frequent Patterns in Different Databases with Transaction ID C.I. Ezeife and Dan) are unique and would not usually be frequent, mining frequent patterns with transaction ids, show- ing

Ezeife, Christie

156

ORNL 2010-G00967/jcn UT-B ID 200802057  

E-Print Network [OSTI]

-site, so that water does not need to be transported to a treatment facility. It also permits fuel ·· Permits on-site treatment ·· Allows fuel processing waters to be safely discharged or reused ·· ReducesORNL 2010-G00967/jcn UT-B ID 200802057 Treatment of Fuel Process Wastewater Using Fuel Cells

157

, 1. CONTRACT ID CODE IPAG~ O F PAGES  

E-Print Network [OSTI]

·' , 1. CONTRACT ID CODE IPAG~ O F PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I 2 2. MODIFICATION OF CONTRACT/ ORDER NO. DUNS# 032987476 l8l DE-AC05-76RL01830 10B. DATED (SEE ITEM 13) CODE ONLY TO MODIFICATIONS OF CONTRACTS/ORDERS, IT MODIFIES THE CONTRACT/ORDER NO. AS SET FORTH IN ITEM 14

158

UW China Hong Kong Entrance Scholarship University of Waterloo ID#  

E-Print Network [OSTI]

UW ­ China Hong Kong Entrance Scholarship Name: University of Waterloo ID#: Program Applied of Waterloo who currently lives in or who previously lived in Hong Kong or mainland China. Candidates must also intend to return to Hong Kong or China after graduation. Selection will be based on academic

Le Roy, Robert J.

159

ORNL 2010-G00627/jcn UT-B ID 200601740  

E-Print Network [OSTI]

ORNL 2010-G00627/jcn UT-B ID 200601740 Power Charging and Supply System for Electric Vehicles Technology Summary A versatile new power electronics system for electric and hybrid electric vehicles (EVs charger and enables these vehicles to function as mobile electrical power generators for emergency

160

UCRL-ID-119170 LAWRENCE LIVERMORE NATIONAL LABORATORY  

E-Print Network [OSTI]

June 1995 UCRL-ID-119170 LAWRENCE LIVERMORE NATIONAL LABORATORY University of California · Livermore, California · 94550 Science on High-Energy Lasers: From Today to the NIF Richard W. Lee, Richard. WorkperformedundertheauspicesoftheU.S.DepartmentofEnergybyLawrenceLivermoreNationalLaboratoryunder Contract W-7405-Eng-48. #12

Note: This page contains sample records for the topic "aq batch id" 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

ORNL 2010-G0613-jcn UT-B ID 200902238  

E-Print Network [OSTI]

, and longer burn-up times. This translates to more megawatts per nuclear power plant and less spent fuel the fuel to burn longer ·· Fuel will be cooler, experiencing significantly less damage and allowing higherORNL 2010-G0613-jcn UT-B ID 200902238 Composite Nuclear Fuel Pellet Technology Summary To improve

162

https://doyouliveunited.org 1. Enter you user ID  

E-Print Network [OSTI]

Search' button. 7. Enter you search terms for the agency of your choice and click on `Search'. #12;httpshttps://doyouliveunited.org 1. Enter you user ID: your email address Enter your password: welcome be different then the options listed here. 5. For a payroll pledge, enter the amount per pay or the total

163

Student ID Number Date of birth Cell Phone  

E-Print Network [OSTI]

Name Student ID Number Date of birth Cell Phone New Housing Student Current Housing Student All's phone Crime 2 Information about charges or crime convicted of Date of conviction Court convicted in Sentence received Probation dates Probation officer's name Probation officer's phone Consent: I authorize

Pantaleone, Jim

164

ORNL 2010-G01074/jcn UT-B ID 200301298  

E-Print Network [OSTI]

. The device permits the heat pump to extract and store heat from ground and air via the dynamic exchangeORNL 2010-G01074/jcn UT-B ID 200301298 Super Energy Saver Heat Pump Technology Summary ORNL heat pumps, inventing a super energy saver heat pump. This invention significantly improves heating

165

Contribution ID : 133 The TAG Collector -A Tool for Atlas  

E-Print Network [OSTI]

CHEP04 Contribution ID : 133 The TAG Collector - A Tool for Atlas Code Release Management Thursday 30 Sep 2004 at 10:00 (00h00') The Tag Collector is a web interfaced database application for release distributed geographically. The Tag Collector was designed and implemented during the summer of 2001

Paris-Sud XI, Universit de

166

Introduction to Health and Social Care (ID:250)  

E-Print Network [OSTI]

Introduction to Health and Social Care (ID:250) Outline This is a day event which will be designed will be given short talks from different staff about the various health and social care courses on offer details Learning outcomes: · The different health and social care courses offered at Swansea University

Harman, Neal.A.

167

Aquatic Chemistry Course Id: CHEM 605 (3 cr.)  

E-Print Network [OSTI]

Aquatic Chemistry Fall 2010 Course Id: CHEM 605 (3 cr.) Lecture: TR 3:40-5:20pm, REIC 165 of this course is to introduce students to the concepts and models used in aquatic chemistry while providing-base chemistry, complexation, precipitation-dissolution and reduction-oxidation reactions. Student Learning

Wagner, Diane

168

2012 -2013 BIRTH DATE VERIFICATION STUDENT NAME: SPU ID  

E-Print Network [OSTI]

an official copy of your Birth Certificate, Passport, or Driver's License with this form and we will update2012 - 2013 BIRTH DATE VERIFICATION STUDENT NAME: SPU ID: The date of birth reported on your Free Application for Federal Student Aid (FAFSA) does not match the date of birth reported in one of the following

Nelson, Tim

169

2013 -2014 BIRTH DATE VERIFICATION STUDENT NAME: SPU ID  

E-Print Network [OSTI]

an official copy of your Birth Certificate, Passport, or Driver's License with this form and we will update2013 - 2014 BIRTH DATE VERIFICATION STUDENT NAME: SPU ID: The date of birth reported on your Free Application for Federal Student Aid (FAFSA) does not match the date of birth reported in one of the following

Nelson, Tim

170

ORNL 2010-G00654/jcn UT-B ID 200701899  

E-Print Network [OSTI]

ORNL 2010-G00654/jcn UT-B ID 200701899 Photoactive Wound Dressing Technology Summary Improved this product. This technology can be used to treat wounds, burns, and other types of skin trauma in both of the nanoparticles causes the release of antimicrobial oxygen radicals, enhancing the therapeutic effect

171

ORNL 2010-G00976/jcn UT-B ID 200802116  

E-Print Network [OSTI]

ORNL 2010-G00976/jcn UT-B ID 200802116 Detection of Latent Prints by Raman Imaging Technology, allowing the evidence to be visualized. The technology is capable of imaging latent prints on porous and non-porous surfaces, and is especially useful for prints that are low in oil (or "clean") and children

172

ORNL 2010-G01078/jcn UT-B ID 201002389  

E-Print Network [OSTI]

ORNL 2010-G01078/jcn UT-B ID 201002389 Energy Saving Absorption Heat Pump Water Heater Technology Summary ORNL's new absorption heat pump and water heater technology offers substantial energy savings and can reduce the use of fossil fuels by buildings. While conventional heat pump water heater designs

Pennycook, Steve

173

Article ID: Query Translation on the Fly in Deep Web  

E-Print Network [OSTI]

Article ID: Query Translation on the Fly in Deep Web Integration Jiang Fangjiao, Jia Linlin, Meng users to access the desired information, many researches have dedicated to the Deep Web (i.e. Web databases) integration. We focus on query translation which is an important part of the Deep Web integration

174

Chemical Reduction of PCE by Zero Valent Iron Colloids Batch and Column Experiments  

E-Print Network [OSTI]

Chemical Reduction of PCE by Zero Valent Iron Colloids ­ Batch and Column Experiments Motivation nm NAPASAN Particle - nZVI / PCE-Solution 0 20 40 60 80 100 120 140 0 2 4 6 8 10 12 14 16 18 20 22 24H[-] PCE - Inflow PCE - Outflow TCE - Inflow TCE - Outflow Chloride - Outflow Blank Value Chloride pH Value

Cirpka, Olaf Arie

175

Hybrid Batch Bayesian Optimization Javad Azimi AZIMI@EECS.OREGONSTATE.EDU  

E-Print Network [OSTI]

motivating application we try to optimize the power output of nano-enhanced Microbial Fuel Cells (MFCs). MFCsHybrid Batch Bayesian Optimization Javad Azimi AZIMI@EECS.OREGONSTATE.EDU Oregon State University Abstract Bayesian Optimization (BO) aims at optimizing an unknown function that is costly to evaluate. We

Fern, Xiaoli Zhang

176

Microbial Fuel Cells In this experiment, a batch mixed culture microbial fuel cell with Shewanella  

E-Print Network [OSTI]

Microbial Fuel Cells Abstract In this experiment, a batch mixed culture microbial fuel cell conditions under nitrogen gas. In the microbial fuel cell with Shewanella putrefaciens sp. 200 as catalysisM at pH=7. Introduction Microbial fuel cells (MFC) are systems that take advantage of certain

Fay, Noah

177

HIGH YIELD BATCH PACKAGING OF MICRO DEVICES WITH UNIQUELY ORIENTING SELF-ASSEMBLY  

E-Print Network [OSTI]

HIGH YIELD BATCH PACKAGING OF MICRO DEVICES WITH UNIQUELY ORIENTING SELF-ASSEMBLY Jiandong Fang of uniquely orienting self-assembly with 2mm square diced silicon parts. Each silicon part has one hydrophobic shape-directed self-assembly assigns parts to complementary trenches in parallel [2]; (3) capillary

178

Utilizing Green Energy Prediction to Schedule Mixed Batch and Service Jobs in Data Centers  

E-Print Network [OSTI]

Utilizing Green Energy Prediction to Schedule Mixed Batch and Service Jobs in Data Centers Baris on using immediately available green energy to supplement the non- renewable, or brown energy at the cost of canceling and rescheduling jobs whenever the green energy availability is too low [16]. In this paper we

Simunic, Tajana

179

Effect of Xylan and Lignin Removal by Batch and Flowthrough Pretreatment  

E-Print Network [OSTI]

Effect of Xylan and Lignin Removal by Batch and Flowthrough Pretreatment on the Enzymatic understand these trade-offs, comparative data are reported on xylan and lignin removal and enzymatic with just water enhanced the xylan dissolution rate, more than doubled total lignin removal, and increased

California at Riverside, University of

180

Nitrogen removal via nitrite in a sequencing batch reactor treating sanitary landfill leachate  

E-Print Network [OSTI]

Ammonium rich wastewater Fuzzy logic Biological nutrient removal a b s t r a c t The present paper reports and biological pro- cesses (Lema et al., 1988). Among several biological treatment sys- tems, sequencing batch confirm the effectiveness of the nitrite route for nitrogen removal optimisation in leachate treatment

Note: This page contains sample records for the topic "aq batch id" from the National Library of EnergyBeta (NLEBeta).
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to obtain the most current and comprehensive results.


181

A Fast Batched Cholesky Factorization on a GPU Tingxing Dong, Azzam Haidar, Stanimire Tomov, and Jack Dongarra  

E-Print Network [OSTI]

of the three algorithms described above, along with the comparison to an optimized par- allel batched Cholesky algorithms ­ non- blocked, blocked, and recursive blocked ­ were examined. The left-looking version to update the trailing matrix in the recursive blocked algorithm. Our batched Cholesky achieves up to 1

Dongarra, Jack

182

Web: http://dust.ess.uci.edu/prp/prp ids/prp ids.pdf NASA International Polar Year (IPY) Proposal Submitted: April 17, 2006  

E-Print Network [OSTI]

Web: http://dust.ess.uci.edu/prp/prp ids/prp ids.pdf NASA International Polar Year (IPY) Proposal Researchers and Postdocs on CRY- OLIST and on ESS Website. 6. 20070723: Registered for SPAC Workshop for potential collaborators/contributors: 1. Use CVS to obtain source to this proposal: cvs -d :ext:esmf.ess

Zender, Charles

183

Institute of Development Studies (IDS) | 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 EnergyBoard"Starting aLianheStudies (IDS) (Redirected from

184

IDS Climate Change and Development Centre Resources | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Power BasicsGermany:Information IDS Climate Change and Development Centre

185

Property:RAPID/Contact/ID1/Organization | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, search PropertyTransferID1/Organization Property

186

Property:RAPID/Contact/ID1/Phone | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, search PropertyTransferID1/Organization

187

Property:RAPID/Contact/ID1/Website | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/Website Property Type URL Description

188

Property:RAPID/Contact/ID2/Email | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/Website Property Type URL

189

Property:RAPID/Contact/ID2/Name | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/Website Property Type URLID2/Name

190

Property:RAPID/Contact/ID2/Organization | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/Website Property Type

191

Property:RAPID/Contact/ID2/Position | Open Energy Information  

Open Energy Info (EERE)

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192

Property:RAPID/Contact/ID3/Organization | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation, searchID1/Website

193

Property:RAPID/Contact/ID8/Phone | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: EnergyPotentialUrbanUtilityScalePVCapacity Jump to: navigation,Website Property Type PropertyID8/Organization

194

C000008A BATCH1 DAILY LISTING C100018D SSN CHANGE UPDATE RPT  

E-Print Network [OSTI]

MANUAL CHRAGE ACCOUNT LISTING C18DB C100648A COMPUTER UTILLIZATION C100668A C18DB SEGMENT CLEAN-UP CC000008A BATCH1 DAILY LISTING C100018D SSN CHANGE UPDATE RPT C100028D SSN CHANGE ERROR RPT C100038A CAI.CA7 PAN UPDATES C602028D PRODUCTION JCL C700008D TMS RPT 25 - PICKING LIST C700018D TMS RPT 24

Almor, Amit

195

SRS SLUDGE BATCH QUALIFICATION AND PROCESSING; HISTORICAL PERSPECTIVE AND LESSONS LEARNED  

SciTech Connect (OSTI)

This report provides a historical overview and lessons learned associated with the SRS sludge batch (SB) qualification and processing programs. The report covers the framework of the requirements for waste form acceptance, the DWPF Glass Product Control Program (GPCP), waste feed acceptance, examples of how the program complies with the specifications, an overview of the Startup Program, and a summary of continuous improvements and lessons learned. The report includes a bibliography of previous reports and briefings on the topic.

Cercy, M.; Peeler, D.; Stone, M.

2013-09-25T23:59:59.000Z

196

Batch polymerization of styrene initiated by n-butyllithium in benzene  

E-Print Network [OSTI]

weight distribution. In order to be able to maintain isothermal conditions, and have adequate m1x1ng, the size of the reactor must be kept small. Since a considerable amount of polymer is required for molecular weight determination, only one sample... have used multi-sampled batch reactors 1n the form of sealed, capped soft drink bottles. The procedure followed by these authors was as follows: The bottles were charged with monomer, solvent and initiator. Temperature control and mixing were...

Tanlak, Tayfun

1975-01-01T23:59:59.000Z

197

MODELING CST ION EXCHANGE FOR CESIUM REMOVAL FROM SCIX BATCHES 1 - 4  

SciTech Connect (OSTI)

The objective of this work is, through modeling, to predict the performance of Crystalline Silicotitinate (CST) for the removal of cesium from Small Column Ion Exchange (SCIX) Batches 1-4 (as proposed in Revision 16 of the Liquid Waste System Plan). The scope of this task is specified in Technical Task Request (TTR) 'SCIX Feed Modeling', HLE-TTR-2011-003, which specified using the Zheng, Anthony, Miller (ZAM) code to predict CST isotherms for six given SCIX feed compositions and the VErsatile Reaction and SEparation simulator for Liquid Chromatography (VERSE-LC) code to predict ion-exchange column behavior. The six SCIX feed compositions provided in the TTR represent SCIX Batches 1-4 and Batches 1 and 2 without caustic addition. The study also investigated the sensitivity in column performance to: (1) Flow rates of 5, 10, and 20 gpm with 10 gpm as the nominal flow; and (2) Temperatures of 25, 35, and 45 C with 35 C as the nominal temperature. The isotherms and column predictions presented in this report reflect the expected performance of engineered CST IE-911. This form of CST was used in experiments conducted at the Savannah River National Laboratory (SRNL) that formed the basis for estimating model parameters (Hamm et al., 2002). As has been done previously, the engineered resin capacity is estimated to be 68% of the capacity of particulate CST without binder.

Smith, F.

2011-04-25T23:59:59.000Z

198

Analysis Of DWPF Sludge Batch 7a (Macrobatch 8) Pour Stream Samples  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF) began processing Sludge Batch 7a (SB7a), also referred to as Macrobatch 8 (MB8), in June 2011. SB7a is a blend of the heel of Tank 40 from Sludge Batch 6 (SB6) and the SB7a material that was transferred to Tank 40 from Tank 51. SB7a was processed using Frit 418. During processing of each sludge batch, the DWPF is required to take at least one glass sample to meet the objectives of the Glass Product Control Program (GPCP), which is governed by the DWPF Waste Compliance Plan, and to complete the necessary Production Records so that the final glass product may be disposed of at a Federal Repository. Three pour stream glass samples and two Melter Feed Tank (MFT) slurry samples were collected while processing SB7a. These additional samples were taken during SB7a to understand the impact of antifoam and the melter bubblers on glass redox chemistry. The samples were transferred to the Savannah River National Laboratory (SRNL) where they were analyzed.

Johnson, F. C.; Pareizs, J. M.

2012-10-24T23:59:59.000Z

199

SLUDGE BATCH 7B QUALIFICATION ACTIVITIES WITH SRS TANK FARM SLUDGE  

SciTech Connect (OSTI)

Waste Solidification Engineering (WSE) has requested that characterization and a radioactive demonstration of the next batch of sludge slurry - Sludge Batch 7b (SB7b) - be completed in the Shielded Cells Facility of the Savannah River National Laboratory (SRNL) via a Technical Task Request (TTR). This characterization and demonstration, or sludge batch qualification process, is required prior to transfer of the sludge from Tank 51 to the Defense Waste Processing Facility (DWPF) feed tank (Tank 40). The current WSE practice is to prepare sludge batches in Tank 51 by transferring sludge from other tanks. Discharges of nuclear materials from H Canyon are often added to Tank 51 during sludge batch preparation. The sludge is washed and transferred to Tank 40, the current DWPF feed tank. Prior to transfer of Tank 51 to Tank 40, SRNL typically simulates the Tank Farm and DWPF processes with a Tank 51 sample (referred to as the qualification sample). With the tight schedule constraints for SB7b and the potential need for caustic addition to allow for an acceptable glass processing window, the qualification for SB7b was approached differently than past batches. For SB7b, SRNL prepared a Tank 51 and a Tank 40 sample for qualification. SRNL did not receive the qualification sample from Tank 51 nor did it simulate all of the Tank Farm washing and decanting operations. Instead, SRNL prepared a Tank 51 SB7b sample from samples of Tank 7 and Tank 51, along with a wash solution to adjust the supernatant composition to the final SB7b Tank 51 Tank Farm projections. SRNL then prepared a sample to represent SB7b in Tank 40 by combining portions of the SRNL-prepared Tank 51 SB7b sample and a Tank 40 Sludge Batch 7a (SB7a) sample. The blended sample was 71% Tank 40 (SB7a) and 29% Tank 7/Tank 51 on an insoluble solids basis. This sample is referred to as the SB7b Qualification Sample. The blend represented the highest projected Tank 40 heel (as of May 25, 2011), and thus, the highest projected noble metals content for SB7b. Characterization was performed on the Tank 51 SB7b samples and SRNL performed DWPF simulations using the Tank 40 SB7b material. This report documents: (1) The preparation and characterization of the Tank 51 SB7b and Tank 40 SB7b samples. (2) The performance of a DWPF Chemical Process Cell (CPC) simulation using the SB7b Tank 40 sample. The simulation included a Sludge Receipt and Adjustment Tank (SRAT) cycle, where acid was added to the sludge to destroy nitrite and reduce mercury, and a Slurry Mix Evaporator (SME) cycle, where glass frit was added to the sludge in preparation for vitrification. The SME cycle also included replication of five canister decontamination additions and concentrations. Processing parameters were based on work with a nonradioactive simulant. (3) Vitrification of a portion of the SME product and characterization and durability testing (as measured by the Product Consistency Test (PCT)) of the resulting glass. (4) Rheology measurements of the SRAT receipt, SRAT product, and SME product. This program was controlled by a Task Technical and Quality Assurance Plan (TTQAP), and analyses were guided by an Analytical Study Plan. This work is Technical Baseline Research and Development (R&D) for the DWPF. It should be noted that much of the data in this document has been published in interoffice memoranda. The intent of this technical report is bring all of the SB7b related data together in a single permanent record and to discuss the overall aspects of SB7b processing.

Pareizs, J.; Click, D.; Lambert, D.; Reboul, S.

2011-11-16T23:59:59.000Z

200

Evaluation of ISDP Batch 2 Qualification Compliance to 512-S, DWPF, Tank Farm, and Saltstone Waste Acceptance Criteria  

SciTech Connect (OSTI)

The purpose of this report is to document the acceptability of the second macrobatch (Salt Batch 2) of Tank 49H waste to H Tank Farm, DWPF, and Saltstone for operation of the Interim Salt Disposition Project (ISDP). Tank 49 feed meets the Waste Acceptance Criteria (WAC) requirements specified by References 11, 12, and 13. Salt Batch 2 material is qualified and ready to be processed through ARP/MCU to the final disposal facilities.

Shafer, A.

2010-05-05T23:59:59.000Z

Note: This page contains sample records for the topic "aq batch id" 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

Annales Geophysicae, 23, 16031610, 2005 SRef-ID: 1432-0576/ag/2005-23-1603  

E-Print Network [OSTI]

Annales Geophysicae, 23, 1603­1610, 2005 SRef-ID: 1432-0576/ag/2005-23-1603 © European Geosciences

Paris-Sud XI, Université de

202

Human Cardiac High-Energy Phosphate Metabolite Concentrationsby ID-Resolved NMR Spectroscopy  

E-Print Network [OSTI]

Human Cardiac High-Energy Phosphate Metabolite Concentrationsby ID-Resolved NMR Spectroscopy Paul A myocytes can contribute no metabolite signal to the observed spectrum, the hypoth- esis

Atalar, Ergin

203

Microsoft Word - DOE-ID-INL-12-009 _INL-12-028_.doc  

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

No.: DOE-ID-INL-12-009 SECTION A. Project Title: Idaho National Laboratory (INL) Closed Circuit Television (CCTV) Replacement Project SECTION B. Project Description: The Idaho...

204

Name____________________________________________ ID #______________________________ Course Semester Taken Hours Grade Course Semester Taken Hours Grade  

E-Print Network [OSTI]

Name____________________________________________ ID #______________________________ Course Semester *MATH 152 4 STAT 302 3 Course Semester Taken Hours Grade KINE 199 1 S/U KINE 198 1 Course Semester Taken

205

Idaho National Laboratory Supervisory Control and Data Acquisition Intrusion Detection System (SCADA IDS)  

SciTech Connect (OSTI)

Current Intrusion Detection System (IDS) technology is not suited to be widely deployed inside a Supervisory, Control and Data Acquisition (SCADA) environment. Anomaly- and signature-based IDS technologies have developed methods to cover information technology-based networks activity and protocols effectively. However, these IDS technologies do not include the fine protocol granularity required to ensure network security inside an environment with weak protocols lacking authentication and encryption. By implementing a more specific and more intelligent packet inspection mechanism, tailored traffic flow analysis, and unique packet tampering detection, IDS technology developed specifically for SCADA environments can be deployed with confidence in detecting malicious activity.

Jared Verba; Michael Milvich

2008-05-01T23:59:59.000Z

206

ID for Non-U.S. Citizens | EMSL  

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

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207

Microsoft Word - DOE-ID-INL-12-012.docx  

Energy Savers [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't32 Master EMAZ AUTOMOTIVECR-091MEMORANDUM To: David110-2008ID

208

Employee Assistance Self-ID Form | Department of Energy  

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

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209

Property:GBIG/GreenButtonID | 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 revisionEnvReviewNonInvasiveExploration Jump to:FieldProcedures JumpGreenButtonID Jump to: navigation, search This

210

Property:RAPID/Contact/ID4/Email | 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 revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description5/OrganizationID4/Email Property Type

211

Property:RAPID/Contact/ID4/Name | 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 revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description5/OrganizationID4/Email Property

212

Property:RAPID/Contact/ID4/Organization | 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 revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description5/OrganizationID4/Email

213

Property:RAPID/Contact/ID4/Phone | 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 revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description5/OrganizationID4/EmailThis property

214

Property:RAPID/Contact/ID4/Position | 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 revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description5/OrganizationID4/EmailThis

215

Property:RAPID/Contact/ID4/Website | 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 revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFY Description5/OrganizationID4/EmailThisWebsite

216

Property:RAPID/Contact/ID6/Website | 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 revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFYID6/Organization RAPID/Contact/ID6/Position

217

Property:RAPID/Contact/ID8/Website | 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 revisionEnvReviewNonInvasiveExploration Jump to:FieldProceduresFYID6/OrganizationID8/Website Property Type URL

218

RAPID/Roadmap/14-ID-c | 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 revisionEnvReviewNonInvasiveExploration JumpSanyalTempWellheadWahkiakum CountyPzero-FD-b34-HI-b NPDES4-ID-c

219

RAPID/Roadmap/19-ID-b | 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 revisionEnvReviewNonInvasiveExploration JumpSanyalTempWellheadWahkiakumNV-a Nonpoint7-FD-a9-AK-a Water9-CO-e9-ID-b

220

RAPID/Roadmap/5-ID-a | 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 revisionEnvReviewNonInvasiveExplorationUT-g Grant of Access Permit5-ID-a Drilling and Well Development

Note: This page contains sample records for the topic "aq batch id" 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

RAPID/Roadmap/7-ID-a | 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 revisionEnvReviewNonInvasiveExplorationUT-g Grant of Access Permit5-ID-a Drilling7-HI-c Certificate of

222

RAPID/Roadmap/8-ID-a | 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 revisionEnvReviewNonInvasiveExplorationUT-g Grant of Access Permit5-ID-a Drilling7-HI-c

223

RAPID/Roadmap/8-ID-e | 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 revisionEnvReviewNonInvasiveExplorationUT-g Grant of Access Permit5-ID-a Drilling7-HI-ce < RAPID‎ | Roadmap

224

CHANGE IN ACCEPTABLE ID DOCUMENTS FOR JLAB ACCESS:  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6Energy, science, andAnalysis1 SolelyCHANGE IN ACCEPTABLE ID

225

Department of Energy Idaho - Inside DOE-ID  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Region service area. The Desert Southwest RegionInside ID Inside Idaho

226

RAPID/Roadmap/1-ID-a | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado < RAPID‎ | Geothermal‎-CA-a Land-ID-a Land Use

227

RAPID/Roadmap/12-ID-a | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado < RAPID‎ |1-TX-a State12-ID-a State Biological

228

RAPID/Roadmap/13-ID-a | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado < RAPID‎ |1-TX-a13-ID-a State Land Use Assessment

229

RAPID/Roadmap/14-ID-d | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado < RAPID‎ |1-TX-a13-ID-a State14-FD-c

230

RAPID/Roadmap/18-ID-a | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado <17-HI-a < RAPID‎ | Roadmap8-FD-cc <8-ID-a

231

RAPID/Roadmap/18-ID-c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado <17-HI-a < RAPID‎ | Roadmap8-FD-cc8-ID-c

232

RAPID/Roadmap/19-ID-a | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado <17-HI-a < RAPID‎g < RAPID‎ | Roadmap9-ID-a

233

RAPID/Roadmap/3-ID-b | Open Energy Information  

Open Energy Info (EERE)

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234

RAPID/Roadmap/3-ID-e | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado <17-HI-a <3-FD-d Foresto <Roadmap/3-ID-e <

235

RAPID/Roadmap/6-ID-b | Open Energy Information  

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236

RAPID/Roadmap/7-ID-c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado <17-HI-a4-WA-a7-CA-e BLM/CEC Joint7-HI-bID-c <

237

RAPID/Roadmap/8-ID-c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to: navigation, search RAPIDColorado <17-HI-a4-WA-a7-CA-e8-HI-a Transmission Siting8-ID-c

238

Microsoft Word - 140602DOE-ID_OperationsSummary.docx  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recovery challenge fundProject QuarterlyDepartmentConducting1, 2014 DOE-ID

239

Selective batch crushing in the coal-preparation shop at OAO NTMK  

SciTech Connect (OSTI)

In September 2004, after reconstruction at OAO Nizhnetagil'skii Metallurgicheskii Kombinat (NTMK), blast furnace 6 went into operation for the production of vanadium from hot metal. At the startup of furnace 6, besides optimising its composition; it was decided to restore selective crushing of the coal batch using pneumatic and mechanical separation in the third unit of the coal preparation shop. Additional increase in the mechanical strength of coke by 1.5-2.0% was predicted with a 0.5-1.0% decrease in wear.

N.A. Berkutov; Yu.V. Stepanov; P.V. Shtark; L.A. Makhortova; N.K. Popova; D.A. Koshkarov; N.V. Tsarev [OAO Nizhnetagil'skii Metallurgicheskii Kombinat (NTMK)(Russian Federation)

2007-05-15T23:59:59.000Z

240

Investigation of Rheological Impacts on Sludge Batch 3 as Insoluble Solids and Wash Endpoints are Adjusted  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF) is currently processing and immobilizing radioactive sludge slurry into a durable borosilicate glass. The DWPF has already processed three sludge batches (Sludge Batch 1A, Sludge Batch 1B, and Sludge Batch 2) and is currently processing the fourth sludge batch (Sludge Batch 3). A sludge batch is defined as a single tank of sludge slurry or a combination of sludge slurries from different tanks that has been or will be qualified before being transferred to DWPF. As a part of the Sludge Batch 3 (SB3) qualification task, rheology measurements of the sludge slurry were requested at different insoluble solids loadings. These measurements were requested in order to gain insight into potential processing problems that may occur as the insoluble solids are adjusted up or down (by concentration or dilution) during the process. As a part of this study, a portion of the ''as received'' SB3 sample was washed with inhibited water (0.015 M NaOH and 0.015 M NaNO2) to target 0.5M Na versus a measured 1M Na in the supernate. The purpose of the ''washing'' step was to allow a comparison of the SB3 rheological data to the rheological data collected for Sludge Batch 2 (SB2) and to determine if there was a dependence of the yield stress and consistency as a function of washing. The ''as received'' SB3 rheology data was also compared to SB3 simulants prepared by the Simulant Development Program in order to provide guidance for selecting a simulant that is more representative of the rheological properties of the radioactive sludge slurry. A summary of the observations, conclusions are: (1) The yield stress and plastic viscosity increased as the weight percent insoluble solids were increased for the ''as received'' and ''washed'' SB3 samples, at a fixed pH. (2) For the same insoluble solids loading, the yield stress for the SB2 sample is approximately a factor of three higher than the ''as received'' SB3 sample. There also appears to be small difference in the plastic viscosity. This difference is probably due to the different Na concentrations of the slurries. (3) The yield stress for the SB2 sample at 17.5 wt. % insoluble solids loading is four times higher than the ''washed'' SB3 sample at 16.5 wt. % insoluble solids. There also appears to be small difference in the plastic viscosity. The differences for the yield stress and consistency can be explained by the differences in the Fe and Na concentrations of the sludge slurry and the anion concentrations of the resulting supernates. (4) The rheological properties (i.e. yield stress and plastic viscosity), as the insoluble solids are adjusted, for the ''as received'' and ''washed'' SB3 samples are different. The plastic viscosity curve for the ''as received'' SB3 sample was higher than the plastic viscosity curve for SB3 ''washed'' sample. The yield stress curve for the ''washed'' SB3 sample is slightly lower than the ''as received'' SB3 sample up until {approx}19 wt. % insoluble solids. The ''washed'' SB3 sample then exceeds the yield stress curve for the ''as received'' SB3 sample. This rheological behavior is probably due to the difference in the Na concentration of the supernate for the samples. (5) No unusual behavior, such as air entrainment, was noted for the ''as received'' SB3 sample. (6) The observed physical properties of the SB3 sample changed after washing. The ''washed'' SB3 sample entrained air readily at higher insoluble solids loadings (i.e. 14.1, 16.5, 19.5 wt. %) as it did for SB2. The air entrainment appeared to dissipate for the SB3 sample at the lower insoluble solids loadings (i.e. 9.7 and 11.7 wt. %). (7) The physical behavior of SB3 can be influenced by controlling the Na concentration in the supernate and the wt. % insoluble solids. The cause for the air entrainment in the ''washed'' SB3 sample could be due to a change in the particle size during the washing step. (8) The SB3 simulants prepared for the Simulant Development Program were approximately a factor of 1.6 to 4 times higher for yield stress and 2.6 to 4 times higher

Fellinger, T. L.

2005-07-12T23:59:59.000Z

Note: This page contains sample records for the topic "aq batch id" 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

A Batch Wafer Scale LIGA Assembly and Packaging Technique vai Diffusion Bonding  

SciTech Connect (OSTI)

A technique using diffusion bonding (or solid-state welding) has been used to achieve batch fabrication of two- level nickel LIGA structures. Interlayer alignment accuracy of less than 1 micron is achieved using press-fit gauge pins. A mini-scale torsion tester was built to measure the diffusion bond strength of LIGA formed specimens that has shown successful bonding at temperatures of 450"C at 7 ksi pressure with bond strength greater than 100 Mpa. Extensions to this basic process to allow for additional layers and thereby more complex assemblies as well as commensurate packaging are discussed.

Christenson, T.R.; Schmale, D.T.

1999-01-27T23:59:59.000Z

242

Batch methods for enriching trace impurities in hydrogen gas for their further analysis  

DOE Patents [OSTI]

Provided herein are batch methods and devices for enriching trace quantities of impurities in gaseous mixtures, such as hydrogen fuel. The methods and devices rely on concentrating impurities using hydrogen transport membranes wherein the time period for concentrating the sample is calculated on the basis of optimized membrane characteristics, comprising its thickness and permeance, with optimization of temperature, and wherein the enrichment of trace impurities is proportional to the pressure ratio P.sub.hi/P.sub.lo and the volume ratio V.sub.1/V.sub.2, with following detection of the impurities using commonly-available detection methods.

Ahmed, Shabbir; Lee, Sheldon H.D.; Kumar, Romesh; Papdias, Dionissios D.

2014-07-15T23:59:59.000Z

243

An Introductory Analysis of Auto-ID Applications in the Department of Defense Supply Chains  

E-Print Network [OSTI]

variety of items, 4) unsta- ble demand, 5) moving end points, 6) emphasis on reliability and maintenance Daniel W. Engels, Robin Koh, Elaine Lai, Edmund W. Schuster Auto-ID Center, Massachusetts Institute of the applicability of the Auto-ID Centers Network Physi- cal World EPC system within the supply chains of the U

Brock, David

244

Femtosecond dark-field imaging with an X-ray free electron laser (CXIDB ID 19)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This data was collected as part of the same experiment as the data deposited in [ID16](id-16.html). Experiment details are given in [Loh, N.D. et al.](http://dx.doi.org/10.1038/nature11222)

Martin, A. V.

245

The visualization of data and the user-interface in the Auto-ID World  

E-Print Network [OSTI]

This thesis proposes a framework for user interface (UI) design in the Auto-ID world. The thesis includes the examination of issues related to visualizing data to the user from a top-down perspective in the Auto-ID World. ...

Chandrasekhar, Chaitra

2005-01-01T23:59:59.000Z

246

Id-1 gene and gene products as therapeutic targets for treatment of breast cancer and other types of carcinoma  

SciTech Connect (OSTI)

A method for treatment of breast cancer and other types of cancer. The method comprises targeting and modulating Id-1 gene expression, if any, for the Id-1 gene, or gene products in breast or other epithelial cancers in a patient by delivering products that modulate Id-1 gene expression. When expressed, Id-1 gene is a prognostic indicator that cancer cells are invasive and metastatic.

Desprez, Pierre-Yves; Campisi, Judith

2014-08-19T23:59:59.000Z

247

INTERPRETATION OF AT-LINE SPECTRA FROM AFS-2 BATCH #3 FERROUS SULFAMATE TREATMENT  

SciTech Connect (OSTI)

Spectra from the at-line spectrometer were obtained during the ferrous sulfamate (FS) valence adjustment step of AFS-2 Batch #3 on 9/18/2013. These spectra were analyzed by mathematical principal component regression (PCR) techniques to evaluate the effectiveness of this treatment. Despite the complications from Pu(IV), we conclude that all Pu(VI) was consumed during the FS treatment, and that by the end of the treatment, about 85% was as Pu(IV) and about 15% was as Pu(III). Due to the concerns about the odd shape of the Pu(IV) peak and the possibility of this behavior being observed in the future, a follow-up sample was sent to SRNL to investigate this further. Analysis of this sample confirmed the previous results and concluded that it odd shape was due to an intermediate acid concentration. Since the spectral evidence shows complete reduction of Pu(VI) we conclude that it is appropriate to proceed with processing of this the batch of feed solution for HB-Line including the complexation of the fluoride with aluminum nitrate.

Kyser, E.; O'Rourke, P.

2013-12-10T23:59:59.000Z

248

Determination Of Reportable Radionuclides For DWPF Sludge Batch 7B (Macrobatch 9)  

SciTech Connect (OSTI)

The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the heel from Sludge Batch 7a (SB7a) and Sludge Batch 7b (SB7b) that was transferred to Tank 40 from Tank 51. The blend of sludge in Tank 40 is also referred to as Macrobatch 9 (MB9). This report develops the list of reportable radionuclides and associated activities as a function of time. Twenty-seven radionuclides have been identified as reportable for DWPF SB7b. Each of these radionuclides has a half-life greater than ten years and contributes more than 0.01% of the radioactivity on a Curie basis at some point from production through the 1100 year period between 2015 and 3115. For SB7b, all of the radionuclides in the Design Basis glass are reportable except for three radionuclides: Pd-107, Cs-135, and Th-230. At no time during the 1100- year period between 2015 and 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. The radionuclide measurements made for SB7b are the most extensive conducted to date. Some method development/refinement occurred during the conduct of these measurements, leading to lower detection limits and more accurate measurement of some isotopes than was previously possible.

Crawford, C. L.; Diprete, D. P.

2012-12-17T23:59:59.000Z

249

Mechanism of Phase Formation in the Batch Mixtures for Slag-Bearing Glass Ceramics - 12207  

SciTech Connect (OSTI)

Slag surrogate was produced from chemicals by heating to 900 deg. C and keeping at this temperature for 1 hr. The product obtained was intermixed with either sodium di-silicate (75 wt.% waste loading) or borax (85 wt.% slag loading). The mixtures were heat-treated within a temperature range of 25 to 1300 deg. C. The products were examined by X-ray diffraction and infrared spectroscopy. The products prepared at temperatures of up to 1000 deg. C contained both phase typical of the source slag and intermediate phases as well as phases typical of the materials melted at 1350 deg. C such as nepheline, britholite, magnetite and matrix vitreous phase. Vitrification process in batch mixtures consisting of slag surrogate and either sodium di-silicate or sodium tetraborate runs through formation of intermediate phases mainly silico-phosphates capable to incorporate Sm as trivalent actinides surrogate. Reactions in the batch mixtures are in the whole completed by ?1000 deg. C but higher temperatures are required to homogenize the products. If in the borate-based system the mechanism is close to simple dissolution of slag constituents in the low viscous borate melt, then in the silicate-based system the mechanism was found to be much complicated and includes re-crystallization during melting with segregation of newly-formed nepheline type phase. (authors)

Stefanovsky, Sergey V.; Stefanovsky, Olga I.; Malinina, Galina A. [SIA Radon, 7th Rostovskii lane 2/14, Moscow 119121 (Russian Federation)

2012-07-01T23:59:59.000Z

250

POST-DOCTORAL FELLOWSHIP IN HIGH ENERGY THEORY GROUP The BNL job link for BNL JOB ID#15942 is  

E-Print Network [OSTI]

POST-DOCTORAL FELLOWSHIP IN HIGH ENERGY THEORY GROUP The BNL job link for BNL JOB ID#15942 is" within the dropdown box -Click on Job ID #15942, "Research Associate, High Energy Theory (6482)" After: https://jobs.bnl.gov/psc/Jobs/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL The description of BNL Job ID #15942

Johnson, Peter D.

251

DARS BATCH PROCESSING O F F I C E O F T H E R E G I S T R A R  

E-Print Network [OSTI]

DARS BATCH PROCESSING O F F I C E O F T H E R E G I S T R A R UNIVERSITY OF WISCONSIN-MADISON #12;TABLE OF CONTENTS 1. About DARS Batch a. History b. Capabilities 2. Quick Reference Guide 3. The DARS of Batches a. Monitoring the status of a request b. Viewing and printing 6. FAQs 7. DARS Analysis Tables 8

Wisconsin at Madison, University of

252

Verification Of The Defense Waste Processing Facility's (DWPF) Process Digestion Methods For The Sludge Batch 8 Qualification Sample  

SciTech Connect (OSTI)

This report contains the results and comparison of data generated from inductively coupled plasma atomic emission spectroscopy (ICP-AES) analysis of Aqua Regia (AR), Sodium Peroxide/Sodium Hydroxide Fusion Dissolution (PF) and Cold Chem (CC) method digestions and Cold Vapor Atomic Absorption analysis of Hg digestions from the DWPF Hg digestion method of Sludge Batch 8 (SB8) Sludge Receipt and Adjustment Tank (SRAT) Receipt and SB8 SRAT Product samples. The SB8 SRAT Receipt and SB8 SRAT Product samples were prepared in the SRNL Shielded Cells, and the SRAT Receipt material is representative of the sludge that constitutes the SB8 Batch or qualification composition. This is the sludge in Tank 51 that is to be transferred into Tank 40, which will contain the heel of Sludge Batch 7b (SB7b), to form the SB8 Blend composition.

Click, D. R.; Edwards, T. B.; Wiedenman, B. J.; Brown, L. W.

2013-03-18T23:59:59.000Z

253

Underground Storage Tank Integrated Demonstration (UST-ID). Technology summary  

SciTech Connect (OSTI)

The DOE complex currently has 332 underground storage tanks (USTs) that have been used to process and store radioactive and chemical mixed waste generated from weapon materials production. Very little of the over 100 million gallons of high-level and low-level radioactive liquid waste has been treated and disposed of in final form. Two waste storage tank design types are prevalent across the DOE complex: single-shell wall and double-shell wall designs. They are made of stainless steel, concrete, and concrete with carbon steel liners, and their capacities vary from 5000 gallons (19 m{sup 3}) to 10{sup 6} gallons (3785 m{sup 3}). The tanks have an overburden layer of soil ranging from a few feet to tens of feet. Responding to the need for remediation of tank waste, driven by Federal Facility Compliance Agreements (FFCAs) at all participating sites, the Underground Storage Tank Integrated Demonstration (UST-ID) Program was created by the US DOE Office of Technology Development in February 1991. Its mission is to focus the development, testing, and evaluation of remediation technologies within a system architecture to characterize, retrieve, treat to concentrate, and dispose of radioactive waste stored in USTs at DOE facilities. The ultimate goal is to provide safe and cost-effective solutions that are acceptable to the public and the regulators. The UST-ID has focused on five DOE locations: the Hanford Site, which is the host site, in Richland, Washington; the Fernald Site in Fernald, Ohio; the Idaho National Engineering Laboratory near Idaho Falls, Idaho; the Oak Ridge Reservation in Oak Ridge, Tennessee, and the Savannah River Site in Savannah River, South Carolina.

Not Available

1994-02-01T23:59:59.000Z

254

ANALYSIS OF DWPF SLUDGE BATCH 6 (MACROBATCH 7) POUR STREAM GLASS SAMPLES  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF) began processing Sludge Batch 6 (SB6), also referred to as Macrobatch 7 (MB7), in June 2010. SB6 is a blend of the heel of Tank 40 from Sludge Batch 5 (SB5), H-Canyon Np transfers and SB6 that was transferred to Tank 40 from Tank 51.1 SB6 was processed using Frit 418. Sludge is received into the DWPF Chemical Processing Cell (CPC) and is processed through the Sludge Receipt and Adjustment Tank (SRAT) and Slurry Mix Evaporator Tank (SME). The treated sludge slurry is then transferred to the Melter Feed Tank (MFT) and fed to the melter. During processing of each sludge batch, the DWPF is required to take at least one glass sample to meet the objectives of the Glass Product Control Program (GPCP) and to complete the necessary Production Records so that the final glass product may be disposed of at a Federal Repository. The DWPF requested various analyses of radioactive glass samples obtained from the melter pour stream during processing of SB6 as well as reduction/oxidation (REDOX) analysis of MFT samples to determine the impact of Argon bubbling. Sample analysis followed the Task Technical and Quality Assurance Plan (TTQAP) and an Analytical Study Plan (ASP). Four Pour Stream (PS) glass samples and two MFT slurry samples were delivered to the Savannah River National Laboratory (SRNL) from the DWPF. Table 1-1 lists the sample information for each pour stream glass sample. SB6 PS3 (S03472) was selected as the official pour stream sample for SB6 and full analysis was requested. This report details the visual observations of the as-received SB6 PS No.3 glass sample as well as results for the chemical composition, Product Consistency Test (PCT), radionuclide content, noble metals, and glass density. REDOX results will be provided for all four pour stream samples and vitrified samples of MFT-558 and MFT-568A. Where appropriate, data from other pour stream samples will be provided.

Johnson, F.

2012-01-20T23:59:59.000Z

255

ANALYSIS OF DWPF SLUDGE BATCH 7A (MACROBATCH 8) POUR STREAM SAMPLES  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF) began processing Sludge Batch 7a (SB7a), also referred to as Macrobatch 8 (MB8), in June 2011. SB7a is a blend of the heel of Tank 40 from Sludge Batch 6 (SB6) and the SB7a material that was transferred to Tank 40 from Tank 51. SB7a was processed using Frit 418. During processing of each sludge batch, the DWPF is required to take at least one glass sample to meet the objectives of the Glass Product Control Program (GPCP), which is governed by the DWPF Waste Compliance Plan, and to complete the necessary Production Records so that the final glass product may be disposed of at a Federal Repository. Three pour stream glass samples and two Melter Feed Tank (MFT) slurry samples were collected while processing SB7a. These additional samples were taken during SB7a to understand the impact of antifoam and the melter bubblers on glass redox chemistry. The samples were transferred to the Savannah River National Laboratory (SRNL) where they were analyzed. The following conclusions were drawn from the analytical results provided in this report: (1) The sum of oxides for the official SB7a pour stream glass is within the Product Composition Control System (PCCS) limits (95-105 wt%). (2) The average calculated Waste Dilution Factor (WDF) for SB7a is 2.3. In general, the measured radionuclide content of the official SB7a pour stream glass is in good agreement with the calculated values from the Tank 40 dried sludge results from the SB7a Waste Acceptance Program Specification (WAPS) sample. (3) As in previous pour stream samples, ruthenium and rhodium inclusions were detected by Scanning Electron Microscopy-Electron Dispersive Spectroscopy (SEM-EDS) in the official SB7a pour stream sample. (4) The Product Consistency Test (PCT) results indicate that the official SB7a pour stream glass meets the waste acceptance criteria for durability with a normalized boron release of 0.64 g/L, which is an order of magnitude less than the Environmental Assessment (EA) glass. (5) The measured density of the SB7a pour stream glass was 2.7 g/cm{sup 3}. (6) The Fe{sup 2+}/{Sigma}Fe ratios of the SB7a pour stream samples were in the range of 0.04-0.13, while the MFT sample glasses prepared by SRNL were in the range of 0.02-0.04.

Johnson, F.

2012-05-01T23:59:59.000Z

256

Analysis Of The Sludge Batch 7b (Macrobatch 9) DWPF Pour Stream Glass Sample  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF) began processing Sludge Batch 7b (SB7b), also referred to as Macrobatch 9 (MB9), in January 2012. SB7b is a blend of the heel of Tank 40 from Sludge Batch 7a (SB7a) and the SB7b material that was transferred to Tank 40 from Tank 51. SB7b was processed using Frit 418. During processing of each sludge batch, the DWPF is required to take at least one glass sample to meet the objectives of the Glass Product Control Program (GPCP), which is governed by the DWPF Waste Form Compliance Plan, and to complete the necessary Production Records so that the final glass product may be disposed of at a Federal Repository. Two pour stream glass samples were collected while processing SB7b. The samples were transferred to the Savannah River National Laboratory (SRNL) where one was analyzed and the other was archived. The following conclusions were drawn from the analytical results provided in this report: The sum of oxides for the official SB7b pour stream glass is within the Product Composition Control System (PCCS) limits (95-105 wt%); The average calculated Waste Dilution Factor (WDF) for SB7b is 2.3. In general, the measured radionuclide content of the official SB7b pour stream glass is in good agreement with the calculated values from the Tank 40 dried sludge results from the SB7b Waste Acceptance Program Specification (WAPS) sample; As in previous pour stream samples, ruthenium and rhodium inclusions were detected by Scanning Electron Microscopy-Electron Dispersive Spectroscopy (SEM-EDS) in the SB7b pour stream sample; The Product Consistency Test (PCT) results indicate that the official SB7b pour stream glass meets the waste acceptance criteria for durability with a normalized boron release of 0.8 g/L, which is an order of magnitude less than the Environmental Assessment (EA) glass; The measured density of the SB7b pour stream glass was 2.70 g/cm{sup 3}; The Fe{sup 2+}/?Fe ratio of the SB7b pour stream samples was 0.07.

Johnson, F. C.; Crawford, C. L.; Pareizs, J. M.

2013-11-18T23:59:59.000Z

257

A short Id2 protein fragment containing the nuclear export signal forms amyloid-like fibrils  

SciTech Connect (OSTI)

The negative regulator of DNA-binding/cell-differentiation Id2 is a small protein containing a central helix-loop-helix (HLH) motif and a C-terminal nuclear export signal (NES). Whereas the former is essential for Id2 dimerization and nuclear localization, the latter is responsible for the transport of Id2 from the nucleus to the cytoplasm. Whereas the isolated Id2 HLH motif is highly helical, large C-terminal Id2 fragments including the NES sequence are either unordered or aggregation-prone. To study the conformational properties of the isolated NES region, we synthesized the Id2 segment 103-124. The latter was insoluble in water and only temporarily soluble in water/alcohol mixtures, where it formed quickly precipitating {beta}-sheets. Introduction of a positively charged N-terminal tail prevented aggressive precipitation and led to aggregates consisting of long fibrils that bound thioflavin T. These results show an interesting structural aspect of the Id2 NES region, which might be of significance for both protein folding and function.

Colombo, Noemi [Fakultaet fuer Chemie und Pharmazie, Universitaet Regensburg, Universitaetsstrasse 31, 93053 Regensburg (Germany); Schroeder, Josef [Institut fuer Pathologie, Zentrales EM-Labor, Fakultaet fuer Medizin, Universitaet Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg (Germany); Cabrele, Chiara [Fakultaet fuer Chemie und Pharmazie, Universitaet Regensburg, Universitaetsstrasse 31, 93053 Regensburg (Germany)]. E-mail: chiara.cabrele@chemie.uni-regensburg.de

2006-07-21T23:59:59.000Z

258

Numerical model for the vacuum pyrolysis of scrap tires in batch reactors  

SciTech Connect (OSTI)

A quantitative model for scrap tire pyrolysis in a batch scale reactor developed comprises the following basic phenomena: conduction inside tire particles; conduction, convection, and radiation between the feedstock particles or between the fluids and the particles; tire pyrolysis reaction; exothermicity and endothermicity caused by tire decomposition and volatilization; and the variation of the composition and the thermal properties of tire particles. This model was used to predict the transient temperature and density distributions in the bed of particles, the volatile product evolution rate, the mass change, the energy consumption during the pyrolysis process, and the pressure history in a tire pyrolysis reactor with a load of 1 kg. The model predictions agree well with independent experimental data.

Yang, J.; Tanguy, P.A.; Roy, C. [Univ. Laval, Quebec, PQ (Canada). Dept. de Genie Chimique] [Univ. Laval, Quebec, PQ (Canada). Dept. de Genie Chimique

1995-06-01T23:59:59.000Z

259

Documentation of toxicity testing results on increased supernate treatment rate of 2700 gallons/batch  

SciTech Connect (OSTI)

In February 1991, Reactor Materials increased the rate of supernate treatment in the M-Area Dilute Effluent Treatment Facility (DETF) from 1800 gallons to [approximately]2700 gallons of supernate per 36,000 gallon dilute wastewater batch. The first release of the treated effluent began on March 3, 1991. A series of whole effluent toxicity tests was conducted on the DETF effluent to determine if the increased supernate concentration would result in any chronic toxicity affects in the receiving stream (Tims Branch). The toxicity tests were conducted at instream concentrations equivalent to DETF release rates of 5, 10, 15, 20, and 25 gallons/min. The test results, based on 7-day Ceriodaphnia dubia chronic toxicity, indicated no toxicity effects at any concentration tested. Supernate treatment in DETF continued at the higher concentration.

Pickett, J.B.

1992-07-06T23:59:59.000Z

260

UO{sub 2} corrosion in high surface-area-to-volume batch experiments.  

SciTech Connect (OSTI)

Unsaturated drip tests have been used to investigate the alteration of unirradiated UO{sub 2} and spent UO{sub 2} fuel in an unsaturated environment such as may be expected in the proposed repository at Yucca Mountain. In these tests, simulated groundwater is periodically injected onto a sample at 90 C in a steel vessel. The solids react with the dripping groundwater and water condensed on surfaces to form a suite of U(VI) alteration phases. Solution chemistry is determined from leachate at the bottom of each vessel after the leachate stops interacting with the solids. A more detailed knowledge of the compositional evolution of the leachate is desirable. By providing just enough water to maintain a thin film of water on a small quantity of fuel in batch experiments, we can more closely monitor the compositional changes to the water as it reacts to form alteration phases.

Bates, J. K.; Finch, R. J.; Hanchar, J. M.; Wolf, S. F.

1997-12-08T23:59:59.000Z

Note: This page contains sample records for the topic "aq batch id" 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

UO2 CORROSION IN HIGH SURFACE-AREA-TO-VOLUME BATCH EXPERIMENTS  

SciTech Connect (OSTI)

Unsaturated drip tests have been used to investigate the alteration of unirradiated UO{sub 2} and spent UO{sub 2} fuel in an unsaturated environment, such as may be expected in the proposed repository at Yucca Mountain. In these tests, simulated groundwater is periodically injected onto a sample at 90 C in a steel vessel. The solids react with the dripping groundwater and water condensed on surfaces to form a suite of U(VI) alteration phases. Solution chemistry is determined from leachate at the bottom of each vessel after the leachate stops interacting with the solids. A more detailed knowledge of the compositional evolution of the leachate is desirable. By providing just enough water to maintain a thin film of water on a small quantity of fuel in batch experiments, we can more closely monitor the compositional changes to the water as it reacts to form alteration phases.

Finch, Robert J.; Wolf, Stephen F.; Hanchar, John M.; Bates, John K.

1998-05-11T23:59:59.000Z

262

Pressurized fluidized-bed hydroretorting of Indiana New Albany shale in batch and continuous units  

SciTech Connect (OSTI)

Work is being conducted at the Institute of Gas Technology (IGT) to develop a pressurized fluidized-bed hydroretorting (PFH) process for the production of oil from Eastern oil shales. The PFH process, using smaller particle sizes than the moving-bed hydroretorting process, offers higher oil yields and greater reactor mass fluxes through higher selectivity of organic carbon to oil and shorter residence times, respectively. Batch PFH tests have been conducted to study the effects of shale preheat time (15 to 30 min) and temperature (25{degree} to 320{degree}C), retorting temperature (450{degree} to 710{degree}C), hydrogen pressure (2.8 to 7.0 MPa), particle size (65 to 330 microns), and residence time (5 to 30 min) on the product yields from Indiana New Albany shale. Oil yield has been found to increase with increasing hydrogen pressure. Results are discussed. 10 refs., 14 figs., 3 tabs.

Roberts, M.J.; Rue, D.M.; Lau, F.S. (Institute of Gas Technology, Chicago, IL (USA)); Roosmagi, C. (USDOE Laramie Energy Technology Center, WY (USA))

1989-01-01T23:59:59.000Z

263

A Proposed Algorithm to improve security & Efficiency of SSL-TLS servers using Batch RSA decryption  

E-Print Network [OSTI]

Today, Internet becomes the essential part of our lives. Over 90 percent of the ecommerce is developed on the Internet. A security algorithm became very necessary for producer client transactions assurance and the financial applications safety. The rsa algorithm applicability derives from algorithm properties like confidentiality, safe authentication, data safety and integrity on the internet. Thus, this kind of networks can have a more easy utilization by practical accessing from short, medium, even long distance and from different public places. Rsa encryption in the client side is relatively cheap, whereas, the corresponding decryption in the server side is expensive because its private exponent is much larger. Thus ssl tls servers become swamped to perform public key decryption operations when the simultaneous requests increase quickly .The batch rsa method is useful for such highly loaded web server .In our proposed algorithm by reducing the response time and clients tolerable waiting time an improvement...

Pateriya, R K; Shrivastava, S C; Patel, Jaideep

2009-01-01T23:59:59.000Z

264

Characterisation and Evaluation of Wastes for Treatment in the Batch Pyrolysis Plant in Studsvik, Sweden - 13586  

SciTech Connect (OSTI)

The new batch pyrolysis plant in Studsvik is built primarily for treatment of uranium containing dry active waste, 'DAW'. Several other waste types have been identified that are considered or assumed suitable for treatment in the pyrolysis plant because of the possibility to carefully control the atmosphere and temperature of the thermal treatment. These waste types must be characterised and an evaluation must be made with a BAT perspective. Studsvik have performed or plan to perform lab scale pyrolysis tests on a number of different waste types. These include: - Pyrophoric materials (uranium shavings), - Uranium chemicals that must be oxidised prior to being deposited in repository, - Sludges and oil soaks (this category includes NORM-materials), - Ion exchange resins (both 'free' and solidified/stabilised), - Bitumen solidified waste. Methodology and assessment criteria for various waste types, together with results obtained for the lab scale tests that have been performed, are described. (authors)

Lindberg, Maria; Oesterberg, Carl; Vernersson, Thomas [Studsvik Nuclear AB, Studsvik Nuclear AB, 611 82 Nykoeping (Sweden)] [Studsvik Nuclear AB, Studsvik Nuclear AB, 611 82 Nykoeping (Sweden)

2013-07-01T23:59:59.000Z

265

Validity of batch sorption data to describe selenium transport through unsaturated tuff  

SciTech Connect (OSTI)

As part of project for characterizing Yucca Mt. as a potential site for high-level nuclear waste respository, we used UFA {trademark} technology (centifuge-induced flow) to directly measure selenite retardation coefficients and hydraulic conductivity under unsaturated conditions on two tuff samples from Yucca Mt. Retardation factor for the selenite species was 2.5 in both Yucca Mt. vitric tuff at 62.6% saturation and zeolitic nonwelded tuff from G-tunnel at 52.8% saturation. For these column experiments, we prepared a solution, using J-13 well water from NTS, with a Se conc. of 1.31 mg/L(ppM). The retardation factor of 2.5 measured for both tuffs translates into a sorption distribution coefficient K{sub d} of 0.9 mL/g for the vitric tuff and 0.8 mL/g for the zeolitic tuff. For batch sorption experiments, using the same zeolitic tuff as for the column experiments and solutions of J-13 well water with a Se conc. of 1.1 mg/L(ppM), the average K{sub d} was determined to be 0.1{+-}0.2 mL/g. Given the small K{sub d} values for Se sorption, general agreement between batch and column measurements (obtained under unsaturated conditions) was observed. Unsaturated hydraulic conductivities during the experiments were 2.5x10{sup -8} cm/s for the Yucca Mt. vitric tuff and 1.2x10{sup -8} cm/s for the zeolitic nonwelded tuff from G- tunnel.

Conca, J.L. [Tri-Cities Univ. Center, Richland, WA (United States); Triay, I.R.

1996-08-01T23:59:59.000Z

266

Electrochemical study of multi-electrode microbial fuel cells under fed-batch and continuous flow conditions  

E-Print Network [OSTI]

Electrochemical study of multi-electrode microbial fuel cells under fed-batch and continuous flow November 2013 Available online 18 December 2013 Keywords: Multi-electrode Microbial fuel cells Hydraulic connected microbial fuel cells (MFCs) was compared with the reactors operated using individual electrical

267

VERIFICATION OF THE DEFENSE WASTE PROCESSING FACILITY'S (DWPF) PROCESS DIGESTION METHOD FOR THE SLUDGE BATCH 7A QUALIFICATION SAMPLE  

SciTech Connect (OSTI)

For each sludge batch that is processed in the Defense Waste Processing Facility (DWPF), the Savannah River National Laboratory (SRNL) performs confirmation of the applicability of the digestion method to be used by the DWPF lab for elemental analysis of Sludge Receipt and Adjustment Tank (SRAT) receipt samples and SRAT product process control samples. DWPF SRAT samples are typically dissolved using a room temperature HF-HNO{sub 3} acid dissolution (i.e., DWPF Cold Chem Method, see DWPF Procedure SW4-15.201) and then analyzed by inductively coupled plasma - atomic emission spectroscopy (ICP-AES). This report contains the results and comparison of data generated from performing the Aqua Regia (AR), Sodium peroxide/Hydroxide Fusion (PF) and DWPF Cold Chem (CC) method digestions of Sludge Batch 7a (SB7a) SRAT Receipt and SB7a SRAT Product samples. The SB7a SRAT Receipt and SB7a SRAT Product samples were prepared in the SRNL Shielded Cells, and the SRAT Receipt material is representative of the sludge that constituates the SB7a Batch or qualification composition. This is the sludge in Tank 51 that is to be transferred into Tank 40, which will contain the heel of Sludge Batch 6 (SB6), to form the Sb7a Blend composition.

Click, D.; Edwards, T.; Jones, M.; Wiedenman, B.

2011-03-14T23:59:59.000Z

268

JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 10, NO. 1, MARCH 2001 25 Batch Transfer of LIGA Microstructures by Selective  

E-Print Network [OSTI]

polymer bumps [6], and diffusion bonding [7]. These processes aim to provide reliable electro of polymer bumps, and high temperature processing requirement for the diffusion bonding. Other processes have Microstructures by Selective Electroplating and Bonding Li-Wei Pan and Liwei Lin Abstract--A flip-chip, batch

Lin, Liwei

269

Query PreExecution and Batching in Paradise: ATwoPronged Approach to the Efficient Processing of  

E-Print Network [OSTI]

of Queries on Tape­Resident Raster Images 1 JieBing Yu David J. DeWitt Department of Computer Sciences­ structured organization for tape volumes. Second, the Paradise query processing engine was modified to in tape scheduling, and query batching. A per­ formance evaluation on a working prototype demon­ strates

Liblit, Ben

270

Gray boxes indicate courses for which student must be admitted to upper-level. Students must meet all prerequisites for each course. All prerequisites are strictly enforced, unless approval has been given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTI  

E-Print Network [OSTI]

- Upper Level 330- ID 240 340- ID 240 343- STAT 201 or 303 344­ ID 340, ID 343 400- ID 300 403- ID 303 given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTION Texas A&M University Catalogs 134-135 2011 ENTC 206 2-3-3 Nonmetallic Matrls ECON 202 3-0-3 Prin of Econ ACCT 209 3-0-3 Srvy of Acct Prin STAT 201

Behmer, Spencer T.

271

Gray boxes indicate courses for which student must be admitted to upper-level. Students must meet all prerequisites for each course. All prerequisites are strictly enforced, unless approval has been given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTI  

E-Print Network [OSTI]

- Upper Level 330- ID 240 340- ID 240 343- STAT 201 or 303 344­ ID 340, ID 343 400- ID 300 403- ID 303 given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTION Texas A&M University Catalog 137 2014 206 2-3-3 Nonmetallic Matrls ECON 202 3-0-3 Prin of Econ ACCT 209 3-0-3 Srvy of Acct Prin STAT 201

Behmer, Spencer T.

272

SJSU Information Support Services Run Batch Contracts for Temporary Faculty info-support@sjsu.edu, 408-924-1530 Page 1  

E-Print Network [OSTI]

page displays. 5. Term: Use the lookup button to search the appropriate term. 6. Due Date: (optional data that exists in the system for the temporary faculty will appear on the Contract Appointment letter/Terms. 2. Click Batch Contracts for T. Faculty. The Batch Process for TF Contract search page displays. 3

Su, Xiao

273

Product traceability in the pharmaceutical supply chain : an analysis of the auto-ID approach  

E-Print Network [OSTI]

This thesis analyzes how the Auto-ID technology and information infrastructure will change the management and distribution of pharmaceutical products within the health care industry by enabling item level product traceability ...

Bellman, Attilio, 1967-

2003-01-01T23:59:59.000Z

274

Annales Geophysicae (2004) 22: 35833588 SRef-ID: 1432-0576/ag/2004-22-3583  

E-Print Network [OSTI]

Annales Geophysicae (2004) 22: 3583­3588 SRef-ID: 1432-0576/ag/2004-22-3583 © European Geosciences, and the equinoctial hypoth- esis in which the orientation of the Earth's axis of rotation relative to the Earth

Paris-Sud XI, Université de

275

Orientation Permission to Treat Form Name of Student: Student ID: DOB  

E-Print Network [OSTI]

Orientation Permission to Treat Form Name of Student: Student ID: DOB: Emergency Contact Name/Restrictions: Permission to Treat: The person herein named is medically cleared and has permission to engage in all

Mohanty, Saraju P.

276

High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 7)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This is the fourth of five exposures of the same sample at different tilts. This one is at -15 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

Nelson, Johanna

277

High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 4)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This is the first of five exposures of the same sample at different tilts. This one is at +0 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

Nelson, Johanna

278

High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 8)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This is the fifth of five exposures of the same sample at different tilts. This one is at -30 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

Nelson, Johanna

279

High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 5)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This is the second of five exposures of the same sample at different tilts. This one is at +15 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

Nelson, Johanna

280

High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 6)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This is the third of five exposures of the same sample at different tilts. This one is at +30 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

Nelson, Johanna

Note: This page contains sample records for the topic "aq batch id" 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

CruzID Account Modification Form University of California, Santa Cruz  

E-Print Network [OSTI]

forms: http://its.ucsc.edu/accounts/forms.html) FIS (Banner) PPS NES Web AIS Removal requested for: FIS (Banner) PPS NES Web Data Warehouse AIS CruzID login name change request: Change Login Name: Please

California at Santa Cruz, University of

282

*Name: Date of Birth: Banner/Student ID # Social Security # Phone: Cell  

E-Print Network [OSTI]

Transmitted Infection Anemia Eye Disease (excluding glasses) Joint Disease/Injury Sickle Cell Trait*Name: Date of Birth: Banner/Student ID # Social Security # Phone: Cell Permanent Address: Home Age, contact: Name Relationship: Phone: Day____________________ Eve____________________ Cell

Gering, Jon C.

283

CONTROL ID: 1469463 TITLE: In Situ Techniques for Mineralogy and Geochemistry of Small Bodies  

E-Print Network [OSTI]

CONTROL ID: 1469463 TITLE: In Situ Techniques for Mineralogy and Geochemistry of Small Bodies information about their formation histories and evolution. Combined geochemistry and mineralogy measurements measurement techniques that could provide microscopic mineralogy and isotope geochemistry. We will discuss

Rossman. George R.

284

J Forensic Sci, July 2004, Vol. 49, No. 4 Paper ID JFS2003303  

E-Print Network [OSTI]

J Forensic Sci, July 2004, Vol. 49, No. 4 Paper ID JFS2003303 Available online at: www. KEYWORDS: forensic science, Y-chromosome, single nucleotide polymorphism, SNP typing, Y-SNPs, SNa

285

DETERMINATION OF REPORTABLE RADIONUCLIDES FOR DWPF SLUDGE BATCH 4 MACROBATCH 5  

SciTech Connect (OSTI)

The Waste Acceptance Product Specifications (WAPS)1 1.2 require that 'The Producer shall report the inventory of radionuclides (in Curies) that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115'. As part of the strategy to meet WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type, all radionuclides (with half-lives greater than 10 years) that have concentrations greater than 0.01 percent of the total inventory from time of production through the 1100 year period from 2015 through 3115. The initial listing of radionuclides to be included is based on the design-basis glass as identified in the Waste Form Compliance Plan (WCP)2 and Waste Form Qualification Report (WQR)3. However, it is required that this list be expanded if other radionuclides with half-lives greater than 10 years are identified that may meet the greater than 0.01% criterion for Curie content. Specification 1.6 of the WAPS, International Atomic Energy Agency (IAEA) Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, and Pu-242. Therefore, the complete set of reportable radionuclides must also include this set of U and Pu isotopes. The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the previous contents of Tank 40 (Sludge Batch 3) and the sludge that was transferred to Tank 40 from Tank 51. The blend of sludge from Tank 51 and Tank 40 defines Sludge Batch 4 (also referred to as Macrobatch 5 (MB5)). This report develops the list of reportable radionuclides and associated activities and determines the radionuclide activities as a function of time. The DWPF will use this list and the activities as one of the inputs for the development of the Production Records that relate to the radionuclide inventory. This work was initiated through Task Technical Request HLW/DWPF/TTR-2005-0034; Rev. 0 entitled Sludge Batch 4 SRNL Shielded Cells Testing4. Specifically, this report details results from performing, in part, Subtask 3 of the TTR and, in part, meets Deliverable 7 of the TTR. The work was performed following the Technical Task and Quality Assurance Plan (TTQAP), WSRC-RP-2006-00310, Rev. 15 and Analytical Study Plan (ASP), WSRC-RP-2006-00458, Rev. 16. In order to determine the reportable radionuclides for Sludge Batch 4 (SB4) (Macro Batch 5 (MB5)), a list of radioisotopes that may meet the criteria as specified by the Department of Energy's (DOE) WAPS was developed. All radioactive U-235 fission products and all radioactive activation products that could be in the SRS HLW were considered. In addition, all U and Pu isotopes identified in WAPS 1.6 were included in the list. This list was then evaluated and some isotopes excluded from the projection calculations. Based on measurements and analytical detection limits, twenty-nine radionuclides have been identified as reportable for DWPF SB4 (MB5) as specified by WAPS 1.2. The 29 reportable nuclides are: Ni-59; Ni-63; Se-79; Sr-90; Zr-93; Nb-93m; Tc-99; Sn-126; Cs-137; Sm-151; U-233; U-234; Np-237; U-238; Pu-238; Pu-239; Pu-240; Am-241; Pu-241; Pu-242; Am-242m; Am-243; Cm-244; Cm-245; Cm-246; Cm-247; Bk-247; Cm-248; and Cf-251. The WCP and WQR require that all of radionuclides present in the Design Basis glass be considered as the initial set of reportable radionuclides. For SB4 (MB5), all of the radionuclides in the Design Basis glass are reportable except for three radionuclides: Pd-107, Cs-135, and Th-230. At no time through the calendar year 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. Two additional uranium isotopes (U-235 and -236) must be added to the list of reportable radionuclides in order to meet WAPS 1.6. All of the Pu isotopes and other U isoto

Bannochie, C; Ned Bibler, N; David Diprete, D

2008-05-30T23:59:59.000Z

286

THE SLUDGE BATCH 7A GLASS VARIABILITY STUDY WITH FRIT 418 AND FRIT 702  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF) is preparing to initiate processing of Sludge Batch 7a (SB7a) in May 2011. To support qualification of SB7a, the Savannah River National Laboratory (SRNL) was requested to execute a variability study (VS) to assess the applicability of the current Product Composition Control System (PCCS) durability models for the Frit 418-SB7a compositional region of interest. The objective of this study was to demonstrate applicability of the current durability models to the SB7a compositional region of interest and acceptability of the SB7a glasses with respect to the Environmental Assessment (EA) glass in terms of durability as defined by the Product Consistency Test (PCT). To support programmatic objectives, twenty-eight SB7a glasses were selected based on the nominal sludge projections used to support the frit recommendation. Twenty-three of the SB7a VS glasses were based on the use of Frit 418, while 5 glasses were based on the use of Frit 702. Frit 702 was also identified as a viable candidate for SB7a, especially if SO{sub 4} concentrations are found to be higher than anticipated. Frit 702 has shown a higher SO{sub 4} retention capability as compared to Frit 418. With respect to acceptability, the PCT results of the SB7a-VS glasses are acceptable relative to the EA glass regardless of thermal history (quenched or canister centerline cooled) or compositional view (target or measured). More specifically, all of the SB7a glasses have normalized boron release values (NL [B]) less than 0.9 g/L as compared to the benchmark NL [B] value for EA of 16.695 g/L. With respect to the applicability of the current durability models to the SB7a VS compositional region of interest, all of the study glasses (based on target compositions) lie within the 95% confidence intervals of the model predictions. When model applicability is based on the measured compositions, all of the SB7a VS glasses are predictable with the exception of SB7aVS-02 and SB7aVS-06. Although the NL [B] values of these two glasses range from 0.66 to 0.73 g/L (considered very acceptable), the PCT responses are not considered predictable by the current durability models. The current durability models are conservative for these glasses since they are more durable than predicted by the models. These two glasses are extreme vertices (EV) based compositions coupled with Frit 418 at 36% WL and target the maximum Na{sub 2}O content (15.01 wt% Na{sub 2}O) of the SB7a VS glasses. Higher alkali glasses for which the model overpredicts the PCT response have been observed previously in the Sludge Batch 3 (SB3) Phase 1 VS and the Sludge Batch 6 (SB6) VS.

Peeler, D.; Edwards, T.

2011-03-24T23:59:59.000Z

287

PRELIMINARY FRIT DEVELOPMENT AND MELT RATE TESTING FOR SLUDGE BATCH 6 (SB6)  

SciTech Connect (OSTI)

The Liquid Waste Organization (LWO) provided the Savannah River National Laboratory (SRNL) with a Sludge Batch 6 (SB6) composition projection in March 2009. Based on this projection, frit development efforts were undertaken to gain insight into compositional effects on the predicted and measured properties of the glass waste form and to gain insight into frit components that may lead to improved melt rate for SB6-like compositions. A series of Sludge Batch 6 (SB6) based glasses was selected, fabricated and characterized in this study to better understand the ability of frit compositions to accommodate uncertainty in the projected SB6 composition. Acceptable glasses (compositions where the Product Composition Control System (PCCS) Measurement Acceptability Region (MAR) predicted acceptable properties, good chemical durability was measured, and no detrimental nepheline crystallization was observed) can be made using Frit 418 with SB6 over a range of Na{sub 2}O and Al{sub 2}O{sub 3} concentrations. However, the ability to accommodate variation in the sludge composition limits the ability to utilize alternative frits for potential improvements in melt rate. Frit 535, which may offer improvements in melt rate due to its increased B2O3 concentration, produced acceptable glasses with the baseline SB6 composition at waste loadings of 34 and 42%. However, the PCCS MAR results showed that it is not as robust as Frit 418 in accommodating variation in the sludge composition. Preliminary melt rate testing was completed in the Melt Rate Furnace (MRF) with four candidate frits for SB6. These four frits were selected to evaluate the impacts of B{sub 2}O{sub 3} and Na{sub 2}O concentrations in the frit relative to those of Frit 418, although they are not necessarily candidates for SB6 vitrification. Higher concentrations of B{sub 2}O{sub 3} in the frit relative to that of Frit 418 appeared to improve melt rate. However, when a higher concentration of B{sub 2}O{sub 3} was coupled with a lower concentration of Na{sub 2}O relative to Frit 418, melt rate did not appear to improve. It is expected that a SB6 composition projection with less uncertainty will be received during analysis of the Tank 51 E-1 sample, which will be pulled after the completion of aluminum dissolution in August 2009. At that time, additional frit development work will be performed to seek improved melt rates while maintaining viable projected operating windows. This later work will ultimately lead to a frit recommendation for SB6.

Fox, K.; Miller, D.; Edwards, T.

2009-07-21T23:59:59.000Z

288

4/2/2014 www.scienceworldreport.com/home/news/services/print.php?article_id=12131 http://www.scienceworldreport.com/home/news/services/print.php?article_id=12131 1/2  

E-Print Network [OSTI]

4/2/2014 www.scienceworldreport.com/home/news/services/print.php?article_id=12131 http://www.scienceworldreport.com/home/news/services/print.php fabrication foundry that took an initial interest #12;4/2/2014 www.scienceworldreport.com/home/news/services/print.php?article_id=12131 http://www.scienceworldreport.com/home/news/services/print.php?article_id=12131 2/2 in Rao's work

Chiao, Jung-Chih

289

Long-lived oscillations in the chlorite-iodide-malonic acid reaction in batch  

SciTech Connect (OSTI)

The title reaction is the subject of current interest because the first experimental Turing patterns were observed recently in this system. Here, the authors report the first observation of oscillations that are long lived (over 1 h) in this system in a batch reactor; even after cessation the oscillations can be restarted several times by adding ClO{sub 2} to the exhausted system. These low-frequency low-amplitude (LL) oscillations were detected with both platinum and iodide-selective electrodes in the chlorite-iodide-malonic acid (original CIMA) reaction and in the closely related chlorine dioxide-iodide-malonic acid (minimal CIMA) system. The LL oscillations follow after the already known high frequency oscillations, sometimes separated by a second induction period. LL oscillations can appear without any induction period if appropriate concentrations of chlorine dioxide, iodomalonic acid, and chloride (CIMA-Cl system) are established in a dilute sulfuric acid medium. In this case neither iodine, iodide, nor malonic acid is needed. Some suggestions are made regarding the mechanism of these newly discovered oscillations. 33 refs., 6 figs., 1 tab.

Noszticzius, Z.; Ouyang, Qi; McCormick, W.D.; Swinney, H.L. [Univ. of Texas, Austin, TX (United States)

1992-05-20T23:59:59.000Z

290

A novel proportional--integral-derivative control configuration with application to the control of batch distillation  

SciTech Connect (OSTI)

The aim of this paper is to propose a novel proportional-integral-derivative (PID) control configuration based on an observer structure. Batch distillation is used as the base case study where the regulated output is the distillate composition. The proposed PID control law is derived in the framework of robust nonlinear control with modeling error compensation techniques. A reduced-order observer is proposed to estimate both the derivative of the regulated output and the underlying modeling error. These observations are subsequently used in a control loop to feedback variations of distillate composition (derivative feedback) and to counteract the effects of modeling errors. It is shown that, under certain conditions, the resulting control law is equivalent to a classical PID controller with an antireset windup scheme. Moreover, the tuning of the controller is performed very easily in terms of a prescribed closed-loop time constant and an estimation time constant. Numerical results are provided for binary and multicomponent separations. Sampled/delayed measurements and several sources of uncertainties are considered in order to provide a realistic test scenario for the proposed control design procedure.

Alvarez-Ramirez, J.; Monroy-Loperena, R.; Cervantes, I.; Morales, A.

2000-02-01T23:59:59.000Z

291

Completing Pre-Pilot Tasks To Scale Up Biomass Fractionation Pretreatment Apparatus From Batch To Continuous  

SciTech Connect (OSTI)

PureVision Technology, Inc. (PureVision) was the recipient of a $200,000 Invention and Innovations (I&I) grant from the U. S. Department of Energy (DOE) to complete prepilot tasks in order to scale up its patented biomass fractionation pretreatment apparatus from batch to continuous processing. The initial goal of the I&I program, as detailed in PureVision's original application to the DOE, was to develop the design criteria to build a small continuous biomass fractionation pilot apparatus utilizing a retrofitted extruder with a novel screw configuration to create multiple reaction zones, separated by dynamic plugs within the reaction chamber that support the continuous counter-flow of liquids and solids at elevated temperature and pressure. Although the ultimate results of this 27-month I&I program exceeded the initial expectations, some of the originally planned tasks were not completed due to a modification of direction in the program. PureVision achieved its primary milestone by establishing the design criteria for a continuous process development unit (PDU). In addition, PureVision was able to complete the procurement, assembly, and initiate shake down of the PDU at Western Research Institute (WRI) in Laramie, WY during August 2003 to February 2004. During the month of March 2004, PureVision and WRI performed initial testing of the continuous PDU at WRI.

Dick Wingerson

2004-12-15T23:59:59.000Z

292

Batch Microreactor Studies of Lignin Depolymerization by Bases. 1. Alcohol Solvents  

SciTech Connect (OSTI)

Biomass feedstocks contain roughly 10-30% lignin, a substance that can not be converted to fermentable sugars. Hence, most schemes for producing biofuels (ethanol) assume that the lignin coproduct will be utilized as boiler fuel to provide heat and power to the process. However, the chemical structure of lignin suggests that it will make an excellent high value fuel additive, if it can be broken down into smaller molecular units. From fiscal year 1997 through fiscal year 2001, Sandia National Laboratories was a participant in a cooperative effort with the National Renewable Energy Laboratory and the University of Utah to develop and scale a base catalyzed depolymerization (BCD) process for lignin conversion. SNL's primary role in the effort was to utilize rapidly heated batch microreactors to perform kinetic studies, examine the reaction chemistry, and to develop alternate catalyst systems for the BCD process. This report summarizes the work performed at Sandia during FY97 and FY98 with alcohol based systems. More recent work with aqueous based systems will be summarized in a second report.

MILLER, JAMES E.; EVANS, LINDSEY; LITTLEWOLF, ALICIA; TRUDELL, DANIEL E.

2002-05-01T23:59:59.000Z

293

Power/Performance Trade-offs of Small Batched LU Based Solvers on GPUs  

SciTech Connect (OSTI)

In this paper we propose and analyze a set of batched linear solvers for small matrices on Graphic Processing Units (GPUs), evaluating the various alternatives depending on the size of the systems to solve. We discuss three different solutions that operate with different level of parallelization and GPU features. The first, exploiting the CUBLAS library, manages matrices of size up to 32x32 and employs Warp level (one matrix, one Warp) parallelism and shared memory. The second works at Thread-block level parallelism (one matrix, one Thread-block), still exploiting shared memory but managing matrices up to 76x76. The third is Thread level parallel (one matrix, one thread) and can reach sizes up to 128x128, but it does not exploit shared memory and only relies on the high memory bandwidth of the GPU. The first and second solution only support partial pivoting, the third one easily supports partial and full pivoting, making it attractive to problems that require greater numerical stability. We analyze the trade-offs in terms of performance and power consumption as function of the size of the linear systems that are simultaneously solved. We execute the three implementations on a Tesla M2090 (Fermi) and on a Tesla K20 (Kepler).

Villa, Oreste; Fatica, Massimiliano; Gawande, Nitin A.; Tumeo, Antonino

2013-08-26T23:59:59.000Z

294

Large batch dimensional metrology demonstrated in the example of a LIGA fabricated spring.  

SciTech Connect (OSTI)

Deep x-ray lithography in combination with electroforming is capable of producing high precision metal parts in small lot series. This study deals with a high aspect ratio structure with overall dimensions on the order of 10 mm x 7 mm x 1.5 mm, with the smallest line width being 150 {micro}m. The lateral deviation from the design is to be kept to a minimum, preferably below 5 {micro}m. To ensure adequate quality control, a semi-automated metrology technique has been established to measure all parts. While the paper will give a brief overview of all involved techniques, it focuses on the method to measure the top and bottom of the parts and the top of geometries following the process. The instrument used is a View Engineering Voyager V6x12 microscope, which is fully programmable. The microscope allows direct measurement of geometries but also is capable of saving all captured data as point clouds. These point clouds play a central role when evaluating part geometry. After measuring the part, the point cloud is compared to the computer aided design (CAD) contour of the part, using a commercially available software package. The challenge of proper edge lighting on a nickel alloy part is evaluated by varying lighting conditions systematically. Results of two conditions are presented along with a set of optimized parameters. With the introduced set of tools, process flow can be monitored by measuring geometries, e.g. linewidths in every step of the process line. An example for such analysis is given. After delivery of a large batch of parts, extensive numbers of datasets were available allowing the evaluation of the variation of part geometries. Discussed in detail is the deviation from part top to part bottom geometries indicating swelling of the PMMA mold in the electroplating bath.

Aigeldinger, Georg; Skala, Dawn M.; Ceremuga, Joseph T.

2004-04-01T23:59:59.000Z

295

NEPHELINE FORMATION STUDY FOR SLUDGE BATCH 4: PHASE 3 EXPERIMENTAL RESULTS  

SciTech Connect (OSTI)

This Phase 3 study was undertaken to complement the previous phases of the nepheline formation studies1, 2 by continuing the investigation into the ability of the nepheline discriminator to predict the occurrence of nepheline crystallization in Sludge Batch 4 (SB4) glasses and into the impact of such phases on the durability of the SB4 glasses. The Phase 3 study had two primary objectives. The first was to continue to demonstrate the ability of the discriminator value to adequately predict the nepheline formation potential for specific glass systems of interest. The second was to generate additional data that have a high probability of supporting the SB4 variability study. To support these two objectives, sixteen glasses were selected based on the most recent SB4 compositional projection, Case 15C Blend 1.3 Four different frits were included, based on previous assessments of projected operating windows and melt rate,4, 5 with four WLs selected for each frit. Eight of these frit-sludge combinations covered WLs which tightly bound the nepheline discriminator value of 0.62, with the intent of refining this value to a level of confidence where it can be incorporated into offline administrative controls and/or the Process Composition Control System (PCCS) to support Slurry Mix Evaporator (SME) acceptability decisions. The remaining eight frit-sludge combinations targeted lower WLs (35 and 40%) and were prepared and analyzed to contribute needed data to the ComPro database6 to support a potential variability study for SB4.

Fox, K

2006-05-01T23:59:59.000Z

296

Determination Of Reportable Radionuclides For DWPF Sludge Batch 7B (Macrobatch 9)  

SciTech Connect (OSTI)

The Waste Acceptance Product Specifications (WAPS) 1.2 require that The Producer shall report the inventory of radionuclides (in Curies) that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115. As part of the strategy to comply with WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type, all radionuclides (with half-lives greater than 10 years) that have concentrations greater than 0.01 percent of the total inventory from time of production through the 1100 year period from 2015 through 3115. The initial listing of radionuclides to be included is based on the design-basis glass as identified in the Waste Form Compliance Plan (WCP) and Waste Form Qualification Report (WQR). However, it is required that this list be expanded if other radionuclides with half-lives greater than 10 years are identified that may meet the greater than 0.01% criterion for Curie content. Specification 1.6 of the WAPS, International Atomic Energy Agency (IAEA) Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, and Pu-242. Therefore, the complete set of reportable radionuclides must also include this set of U and Pu isotopes. The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the heel from Sludge Batch 7a (SB7a) and Sludge Batch 7b (SB7b) that was transferred to Tank 40 from Tank 51. The blend of sludge in Tank 40 is also referred to as Macrobatch 9 (MB9). This report develops the list of reportable radionuclides and associated activities as a function of time. The DWPF will use this list and the activities as one of the inputs for the development of the Production Records that relate to radionuclide inventory. This work was initiated through Technical Task Request (TTR) HLW-DWPF-TTR-2011-0004; Rev. 0 entitled Sludge Batch 7b Qualification Studies. Specifically, this report details results from performing Subtask II, Item 2 of the TTR and, in part, meets Deliverable 6 of the TTR. The work was performed following the Task Technical and Quality Assurance Plan (TTQAP), SRNL-RP-2011-00247, Rev. 0 and Analytical Study Plan (ASP), SRNL-RP-2011-00248, Rev. 0. In order to determine the reportable radionuclides for SB7b (MB9), a list of radioisotopes that may meet the criteria as specified by the Department of Energys (DOE) WAPS was developed. All radioactive U-235 fission products and all radioactive activation products that could be in the SRS HLW were considered. In addition, all U and Pu isotopes identified in WAPS 1.6 were included in the list. This list was then evaluated and some isotopes were excluded from the projection calculations. Based on measurements and analytical detection limits, 27 radionuclides have been identified as reportable for DWPF SB7b as specified by WAPS 1.2. The WCP and WQR require that all of the radionuclides present in the Design Basis glass be considered as the initial set of reportable radionuclides. For SB7b, all of the radionuclides in the Design Basis glass are reportable except for three radionuclides: Pd-107, Cs-135, and Th-230. At no time during the 1100-year period between 2015 and 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. Two additional uranium isotopes (U-235 and -236) must be added to the list of reportable radionuclides in order to meet WAPS 1.6. All of the Pu isotopes (Pu-238, -239, -240, -241, and -242) and other U isotopes (U-233, -234, and -238) identified in WAPS 1.6 were already determined to be reportable according to WAPS 1.2 This brings the total number of reportable radionuclides for SB7b to 29. The radionuclide measurements made for SB7b are similar to those performed in the previous SB7a MB8 work. Some method development/refine

Crawford, C. L.; DiPrete, D. P.

2013-08-22T23:59:59.000Z

297

DETERMINATION OF REPORTABLE RADIONUCLIDES FOR DWPF SLUDGE BATCH 7B (MACROBATCH 9)  

SciTech Connect (OSTI)

The Waste Acceptance Product Specifications (WAPS) 1.2 require that The Producer shall report the inventory of radionuclides (in Curies) that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115. As part of the strategy to comply with WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type, all radionuclides (with half-lives greater than 10 years) that have concentrations greater than 0.01 percent of the total inventory from time of production through the 1100 year period from 2015 through 3115. The initial listing of radionuclides to be included is based on the design-basis glass as identified in the Waste Form Compliance Plan (WCP) and Waste Form Qualification Report (WQR). However, it is required that this list be expanded if other radionuclides with half-lives greater than 10 years are identified that may meet the greater than 0.01% criterion for Curie content. Specification 1.6 of the WAPS, International Atomic Energy Agency (IAEA) Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, and Pu- 242. Therefore, the complete set of reportable radionuclides must also include this set of U and Pu isotopes. The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the heel from Sludge Batch 7a (SB7a) and Sludge Batch 7b (SB7b) that was transferred to Tank 40 from Tank 51. The blend of sludge in Tank 40 is also referred to as Macrobatch 9 (MB9). This report develops the list of reportable radionuclides and associated activities as a function of time. The DWPF will use this list and the activities as one of the inputs for the development of the Production Records that relate to radionuclide inventory. This work was initiated through Technical Task Request (TTR) HLW-DWPF-TTR-2011-0004; Rev. 0 entitled Sludge Batch 7b Qualification Studies. Specifically, this report details results from performing Subtask II, Item 2 of the TTR and, in part, meets Deliverable 6 of the TTR. The work was performed following the Task Technical and Quality Assurance Plan (TTQAP), SRNL-RP-2011-00247, Rev. 0 and Analytical Study Plan (ASP), SRNL-RP-2011-00248, Rev. 0. In order to determine the reportable radionuclides for SB7b (MB9), a list of radioisotopes that may meet the criteria as specified by the Department of Energys (DOE) WAPS was developed. All radioactive U- 235 fission products and all radioactive activation products that could be in the SRS HLW were considered. In addition, all U and Pu isotopes identified in WAPS 1.6 were included in the list. This list was then evaluated and some isotopes were excluded from the projection calculations. Based on measurements and analytical detection limits, 27 radionuclides have been identified as reportable for DWPF SB7b as specified by WAPS 1.2. The WCP and WQR require that all of the radionuclides present in the Design Basis glass be considered as the initial set of reportable radionuclides. For SB7b, all of the radionuclides in the Design Basis glass are reportable except for three radionuclides: Pd-107, Cs-135, and Th-230. At no time during the 1100- year period between 2015 and 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. Two additional uranium isotopes (U-235 and -236) must be added to the list of reportable radionuclides in order to meet WAPS 1.6. All of the Pu isotopes (Pu-238, -239, -240, -241, and -242) and other U isotopes (U-233, -234, and -238) identified in WAPS 1.6 were already determined to be reportable according to WAPS 1.2 This brings the total number of reportable radionuclides for SB7b to 29. The radionuclide measurements made for SB7b are similar to those performed in the previous SB7a MB8 work. Some method development/ref

Crawford, C. L.; Diprete, D. P.

2014-05-01T23:59:59.000Z

298

DETERMINATION OF REPORTABLE RADIONUCLIDES FOR DWPF SLUDGE BATCH 5 (MACROBATCH 6)  

SciTech Connect (OSTI)

The Waste Acceptance Product Specifications (WAPS) 1.2 require that ''The Producer shall report the inventory of radionuclides (in Curies) that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115''. As part of the strategy to comply with WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type, all radionuclides (with half-lives greater than 10 years) that have concentrations greater than 0.01 percent of the total inventory from time of production through the 1100 year period from 2015 through 3115. The initial listing of radionuclides to be included is based on the design-basis glass as identified in the Waste Form Compliance Plan (WCP) and Waste Form Qualification Report (WQR). However, it is required that this list be expanded if other radionuclides with half-lives greater than 10 years are identified that may meet the greater than 0.01% criterion for Curie content. Specification 1.6 of the WAPS, International Atomic Energy Agency (IAEA) Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, and Pu-242. Therefore, the complete set of reportable radionuclides must also include this set of U and Pu isotopes. The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the heel from Tank 40 (Sludge Batch 4 (SB4)), Sludge Batch 5 (SB5) that was transferred to Tank 40 from Tank 51, and H-Canyon Np transfers completed after the start of processing. The blend of sludge in Tank 40 is also referred to as Macrobatch 6 (MB6). This report develops the list of reportable radionuclides and associated activities and determines the radionuclide activities as a function of time. The DWPF will use this list and the activities as one of the inputs for the development of the Production Records that relate to the radionuclide inventory. This work was initiated through Technical Task Request (TTR) HLW-DWPF-TTR-2008-0010; Rev. 2 entitled Sludge Batch 5 SRNL Shielded Cells Testing. Specifically, this report details results from performing Subtask II, 5 of the TTR and, in part, meets Deliverable 7 of the TTR. The work was performed following the Task Technical and Quality Assurance Plan (TTQAP), WSRC-RP-2008-00137, Rev. 2 and Analytical Study Plan (ASP), WSRC-RP-2008-00138, Rev. 2. In order to determine the reportable radionuclides for SB5 (MB6), a list of radioisotopes that may meet the criteria as specified by the Department of Energy's (DOE) WAPS was developed. All radioactive U-235 fission products and all radioactive activation products that could be in the SRS HLW were considered. In addition, all U and Pu isotopes identified in WAPS 1.6 were included in the list. This list was then evaluated and some isotopes excluded from the projection calculations. Based on measurements and analytical detection limits, twenty-six radionuclides have been identified as reportable for DWPF SB5 as specified by WAPS 1.2. The 26 reportable radionuclides are: Cl-36, Ni-59, Ni-63, Sr-90, Zr-93, Nb-93m, Tc-99, Sn-126, Cs-137, Sm-151, U-233, U-234, Np-237, U-238, Pu-238, Pu-239, Pu-240, Am-241, Pu-241, Pu-242, Am-242m, Am-243, Cm-244, Cm-245, Cm-246, Cf-251. Chlorine-36 is reported for the first time based on the upper bounding activity determined from the aqua regia digested sludge slurry. The WCP and WQR require that all of radionuclides present in the Design Basis glass be considered as the initial set of reportable radionuclides. For SB5 (MB6), all of the radionuclides in the Design Basis glass are reportable except for four radionuclides: Se-79, Pd-107, Cs-135, and Th-230. At no time through the year 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. Two additional uranium isotopes (U-235 and -236) must be added to

Bannochie, C.; Bibler, N.; Diprete, D.

2010-02-04T23:59:59.000Z

299

DETERMINATION OF REPORTABLE RADIONUCLIDES FOR DWPF SLUDGE BATCH 6 (MACROBATCH 7)  

SciTech Connect (OSTI)

The Waste Acceptance Product Specifications (WAPS) 1.2 require that 'The Producer shall report the inventory of radionuclides (in Curies) that have half-lives longer than 10 years and that are, or will be, present in concentrations greater than 0.05 percent of the total inventory for each waste type indexed to the years 2015 and 3115'. As part of the strategy to comply with WAPS 1.2, the Defense Waste Processing Facility (DWPF) will report for each waste type, all radionuclides (with half-lives greater than 10 years) that have concentrations greater than 0.01 percent of the total inventory from time of production through the 1100 year period from 2015 through 3115. The initial listing of radionuclides to be included is based on the design-basis glass as identified in the Waste Form Compliance Plan (WCP) and Waste Form Qualification Report (WQR). However, it is required that this list be expanded if other radionuclides with half-lives greater than 10 years are identified that may meet the greater than 0.01% criterion for Curie content. Specification 1.6 of the WAPS, International Atomic Energy Agency (IAEA) Safeguards Reporting for High Level Waste (HLW), requires that the ratio by weights of the following uranium and plutonium isotopes be reported: U-233, U-234, U-235, U-236, U-238, Pu-238, Pu-239, Pu-240, Pu-241, and Pu-242. Therefore, the complete set of reportable radionuclides must also include this set of U and Pu isotopes. The DWPF is receiving radioactive sludge slurry from HLW Tank 40. The radioactive sludge slurry in Tank 40 is a blend of the heel from Sludge Batch 5 (SB5) with H-Canyon Np transfers completed after the start of processing SB5, and Sludge Batch 6 (SB6) that was transferred to Tank 40 from Tank 51. The blend of sludge in Tank 40 is also referred to as Macrobatch 7 (MB7). This report develops the list of reportable radionuclides and associated activities as a function of time. The DWPF will use this list and the activities as one of the inputs for the development of the Production Records that relate to radionuclide inventory. This work was initiated through Technical Task Request (TTR) HLW-DWPF-TTR-2009-0014; Rev. 2 entitled Sludge Batch 6 SRNL Shielded Cells Testing. Specifically, this report details results from performing Subtask III, Item 2 of the TTR and, in part, meets Deliverable 7 of the TTR. The work was performed following the Task Technical and Quality Assurance Plan (TTQAP), SRNL-RP-2009-00473, Rev. 15 and Analytical Study Plan (ASP), SRNL-RP-2009-00474, Rev. 1. In order to determine the reportable radionuclides for SB6 (MB7), a list of radioisotopes that may meet the criteria as specified by the Department of Energy's (DOE) WAPS was developed. All radioactive U-235 fission products and all radioactive activation products that could be in the SRS HLW were considered. In addition, all U and Pu isotopes identified in WAPS 1.6 were included in the list. This list was then evaluated and some isotopes were excluded from the projection calculations. Based on measurements and analytical detection limits, 30 radionuclides have been identified as reportable for DWPF SB6 as specified by WAPS 1.2. The WCP and WQR require that all of the radionuclides present in the Design Basis glass be considered as the initial set of reportable radionuclides. For SB6, all of the radionuclides in the Design Basis glass are reportable except for three radionuclides: Pd-107, Cs-135, and Th-230. At no time during the 1100-year period between 2015 and 3115 did any of these three radionuclides contribute to more than 0.01% of the radioactivity on a Curie basis. Two additional uranium isotopes (U-235 and -236) must be added to the list of reportable radionuclides in order to meet WAPS 1.6. All of the Pu isotopes (Pu-238, -239, -240, -241, and -242) and other U isotopes (U-233, -234, and -238) identified in WAPS 1.6 were already determined to be reportable according to WAPS 1.2 This brings the total number of reportable radionuclides for SB6 to 32. The radionuclide measurements made for SB6 are the most extensive condu

Bannochie, C.; Diprete, D.

2011-06-01T23:59:59.000Z

300

Stratigraphic relationships in Woodbine-Eagleford and Sub-Clarksville sandstones, IDS field, Brazos County, Texas  

E-Print Network [OSTI]

-Clarksville Sandstones, IDS Field, Brazos County, Texas. (August 1990) Ron Lee Brogdon, B. A. , Harvard University Chair of Advisory Committee: Dr. Robert R. Berg Sandstones of the Upper-Cretaceous Woodbine-Eagleford interval produce oil and gas from a small... no influence as a hydrocarbon trap. Production from IDS field, like the extent of the reservoir, is small. Nine years of production from 13 wells have yielded only 584 MBBLS of oil. Production is not uniform across the field, but defines a trend which...

Brogdon, Ron Lee

1990-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "aq batch id" 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

http://www.cellmolbiol.com/resume_online_papers.php?Id_Article=1001&Annee=2002 GINKGO BILOBA EXTRACT (EGb 761)  

E-Print Network [OSTI]

http://www.cellmolbiol.com/resume_online_papers.php?Id_Article=1001&Annee=2002 GINKGO BILOBA. The two isoenzymes of high ouabain affinity however, http://www.cellmolbiol.com/resume_online_papers.php?Id_Article=1001&Annee=2002 (1 of 2) [5/23/2008 12:49:21 PM] #12;http://www.cellmolbiol.com/resume_online_papers.php

Brand, Paul H.

302

Id1 expression promotes peripheral CD4{sup +} T cell proliferation and survival upon TCR activation without co-stimulation  

SciTech Connect (OSTI)

Highlights: Id1 expression enables nave T cell proliferation without anti-CD28 co-stimulation. Id1 expression facilitates T cells survival when stimulated with anti-CD3. Elevation of IL-2 production by Id1 contributes increased proliferation and survival. Id1 potentiates NF-?B activation by anti-CD3 stimulation. -- Abstract: Although the role of E proteins in the thymocyte development is well documented, much less is known about their function in peripheral T cells. Here we demonstrated that CD4 promoter-driven transgenic expression of Id1, a naturally occurring dominant-negative inhibitor of E proteins, can substitute for the co-stimulatory signal delivered by CD28 to facilitate the proliferation and survival of nave CD4{sup +} cells upon anti-CD3 stimulation. We next discovered that IL-2 production and NF-?B activity after anti-CD3 stimulation were significantly elevated in Id1-expressing cells, which may be, at least in part, responsible for the augmentation of their proliferation and survival. Taken together, results from this study suggest an important role of E and Id proteins in peripheral T cell activation. The ability of Id proteins to by-pass co-stimulatory signals to enable T cell activation has significant implications in regulating T cell immunity.

Liu, Chen; Jin, Rong [Department of Immunology, Peking University Health Science Center, Beijing (China)] [Department of Immunology, Peking University Health Science Center, Beijing (China); Wang, Hong-Cheng [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States)] [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States); Tang, Hui; Liu, Yuan-Feng; Qian, Xiao-Ping; Sun, Xiu-Yuan; Ge, Qing [Department of Immunology, Peking University Health Science Center, Beijing (China)] [Department of Immunology, Peking University Health Science Center, Beijing (China); Sun, Xiao-Hong, E-mail: sunx@omrf.org [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States)] [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States); Zhang, Yu, E-mail: zhangyu007@bjmu.edu.cn [Department of Immunology, Peking University Health Science Center, Beijing (China)] [Department of Immunology, Peking University Health Science Center, Beijing (China)

2013-06-21T23:59:59.000Z

303

Abstract ID 616 MC-TRACE: MULTICASTING THROUGH TIME RESERVATION USING ADAPTIVE CONTROL  

E-Print Network [OSTI]

Abstract ID 616 1 of 7 MC-TRACE: MULTICASTING THROUGH TIME RESERVATION USING ADAPTIVE CONTROL, University of Rochester, Rochester NY Abstract- In this paper, we present Multicasting through Time Reservation using Adaptive Control for Energy efficiency (MC-TRACE), which is an energy-efficient voice

Heinzelman, Wendi

304

1. Telefnica I+D 1.1. Implementacin y evaluacin de prestaciones de un  

E-Print Network [OSTI]

1. Telefónica I+D 1.1. Implementación y evaluación de prestaciones de un PCE multicapa Tutor: Dr del protocolo PCE en entornos multicapa. El alumno partirá sobre un desarrollo del PCE, por lo que debe realizar únicamente las extensiones necesarias. El alumno deberá evaluar las prestaciones del PCE

Autonoma de Madrid, Universidad

305

ORNL 2010-G00985/jcn UT-B IDs 200802199, 200802200  

E-Print Network [OSTI]

Technology Summary ORNL researchers developed inventions to improve the efficiency of electric generators. In conventional electric generators, the rotation of the prime mover produces one flux change per poleORNL 2010-G00985/jcn UT-B IDs 200802199, 200802200 Internal/External Split Field Generator

306

Computer Science Major Worksheet B.A. Degree Student: _______________________ ID#___________ Catalog:_________ Advisor _____________  

E-Print Network [OSTI]

10/15/2012 Computer Science Major Worksheet ­ B.A. Degree Student: _______________________ ID#___________ Catalog:_________ Advisor _____________ Computer Science Required Courses Cr. Semester Gr. CSci 160 Computer Science I 4 CSci 161 Computer Science II 4 CSci 230 Systems Programming 3 CSci 242 Algo. & Data

Delene, David J.

307

FY 2007-09 Project Selection, Section 10 1 Project ID: 1991-019-01  

E-Print Network [OSTI]

FY 2007-09 Project Selection, Section 10 1 Project ID: 1991-019-01 Title: Hungry Horse Mitigation/Flathead Lake Confederated Salish and Kootenai Tribes A. Abstract This project was initiated in 1992 after NPCC annual funding since that time. This project specifically addresses the losses on the Flathead Indian

308

Project ID: 35011 Title: The Floating Net Pen Transportation System Pilot Project  

E-Print Network [OSTI]

Project ID: 35011 Title: The Floating Net Pen Transportation System Pilot Project Sponsor: Columbia sufficient. The proposal does not specify what benefits might be expected from use of net pens relative raceways or other sources to the net pens is discussed in the proposal. The reviewers are aware

309

Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 1)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 1 are the pattern and configuration files for the pattern showed in Figure 2a in the paper.

Seibert, M. Marvin; Ekeberg, Tomas; Maia, Filipe R.N.C.

310

MA 166 FINAL EXAM Spring 1999 Page 1/10 NAME STUDENT ID ...  

E-Print Network [OSTI]

Fill in the above items in print. I.D.# is ... 3. B. c = -1. C. c = 1. D. c = 0. E. no value of c. 2. Calculate the length of the projection of b = i + j + k onto a = 2 i - k. A. 1.

1910-00-41T23:59:59.000Z

311

1. CONTRACT ID CODE PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT  

E-Print Network [OSTI]

3 1. CONTRACT ID CODE PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 2. MODIFICATION OF CONTRACT! ORDeR NO. DE-AC05-76RL01830 .. DUNS # 032987476 ~ 10B. DATED (SEE ITEM 13) CODE ONLY TO MODIFICATIONS OF CONTRACTS/ORDERS, IT MODIFIES THE CONTRACT/ORDER NO. AS SET FORTH IN ITEM 14

312

1. CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 28  

E-Print Network [OSTI]

1. CONTRACT ID CODE PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 28 2. MODIFICATION OF CONTRACT/ ORDER NO. DUNS # 032987476 s DE-AC05-76RL01830 10B. DATED (SEE ITEM 13} CODE FACILITY ONLY TO MODIFICATIONS OF COF^TTRACTS/ORDERS, IT MODIFIES THE CONTRACT/ORDER NO. AS SET FORTH IN ITEM 14

313

\\1. CONTRACT ID CODE I PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT  

E-Print Network [OSTI]

\\1. CONTRACT ID CODE I PAGE OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1 1 1 2 ONLY TO MODIFICATIONS OF CONTRACTS/ORDERS, IT MODIFIES THE CONTRACT/ORDER NO. AS SET FORTH IN ITEM 14 IN ITEM 14 ARE MADE IN THE CONTRACT ORDER NO. IN ITEM 10A. D B. THE ABOVE NUMBERED CONTRACTIORDER

314

11. CONTRACT ID CODE IPAGE1 OFI AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 2  

E-Print Network [OSTI]

11. CONTRACT ID CODE IPAGE1 OFI PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 2 2 County, WA 99352 10A. MODIFICATION OF CONTRACT/ ORDER NO. DUNS# 032987476 DE-AC05-76RL01830 ~ 10B. DATED AND APPROPRIATION DATA (Ifrequired} CHECK ONE D D D 13. THIS ITEM APPLIES ONLY TO MODIFICATIONS OF CONTRACTS

315

\\1. CONTRACT ID CODE OF PAGES-I PAGE AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT  

E-Print Network [OSTI]

\\1. CONTRACT ID CODE OF PAGES-I PAGE AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1 I 3 3. MODIFICATION OF CONTRACT/ ORDER NO. DE-AC05-76RLO1830 DUNS # 032987476 ~ 108. DATED (SEE /TEM 13) CODE FACILITY ONLY TO MODIFICATIONS OF CONTRACTS/ORDERS, IT MODIFIES THE CONTRACT/ORDER NO. AS SET FORTH IN ITEM 14

316

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, MANUSCRIPT ID 1 Development of a Software Engineering  

E-Print Network [OSTI]

Engineering Ontology for Multi-site Software Development Pornpit Wongthongtham, Elizabeth Chang, Tharam Dillon of software engineering. Index Terms--Software Engineering, Ontology Development, Multi-site SoftwareIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, MANUSCRIPT ID 1 Development of a Software

Sommerville, Ian

317

~ WELDING RESEARCH ~Jlj~~~-------------!ID~ SUPPLEMENT TO THE tVELOING JOURNAL. IULY 1993  

E-Print Network [OSTI]

~ WELDING RESEARCH ~Jlj~~~-------------!ID~ SUPPLEMENT TO THE t·VELOING JOURNAL. IULY 1993 Sponsored by the American Welding Society and the Welding Research Council Metal Transfer in Pulsed Current Gas Metal Arc Welding A static force balance analysis was used to estimate the melting rates

Eagar, Thomas W.

318

Bachelor of Arts, Communication, Public Communication Emphasis, 2013-2014 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Arts, Communication, Public Communication Emphasis, 2013-2014 Name ID# Date General Communication Arts - choose one from the following: COMM 131, COMM 211, COMM 231, COMM 268, COMM 269, COMM 273, COMM 278 3 Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM

Barrash, Warren

319

Bachelor of Arts, Communication, Public Communication Emphasis, 2014-2015 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Arts, Communication, Public Communication Emphasis, 2014-2015 Name ID# Date General Communication Arts - choose one from the following: COMM 131, COMM 211, COMM 231, COMM 268, COMM 269, COMM 273, COMM 278 3 Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM

Barrash, Warren

320

Bachelor of Arts, Communication, Public Communication Emphasis, 2012-2013 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Arts, Communication, Public Communication Emphasis, 2012-2013 Name ID# Date General Communication Arts - choose one from the following: COMM 131, COMM 211, COMM 231, COMM 268, COMM 269, COMM 273, COMM 278 3 Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM

Barrash, Warren

Note: This page contains sample records for the topic "aq batch id" from the National Library of EnergyBeta (NLEBeta).
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to obtain the most current and comprehensive results.


321

Academic Staff ESS Coversheet Candidate Name (Last, First, M.I.) Banner ID  

E-Print Network [OSTI]

rev. 6/14 Academic Staff ESS Coversheet Candidate Name (Last, First, M.I.) Banner ID Primary School Initial WSU appointment date Length of ESS-track service (in years & months) Academic Services Officer Archivist Initial WSU rank Dates off ESS-track/Reason Extens Prgm Coordinator Financial Aid Officer Date

VandeVord, Pamela

322

Bachelor of Science, Environmental and Occupational Health, 2014-2015 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Science, Environmental and Occupational Health, 2014-2015 Name ID# Date General Degree and Humanities 3-4 DLS ENGL 202 Technical Communication 3 DLS ENVHLTH 102 Global Environmental Health 3 BIOL 192 320 Community Environmental Health Management ENVHLTH 415 Occupational Safety and Health ENVHLTH 416

Barrash, Warren

323

Bachelor of Science, Environmental and Occupational Health, 2013-2014 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Science, Environmental and Occupational Health, 2013-2014 Name ID# Date General Degree and Humanities 3-4 DLS ENGL 202 Technical Communication 3 DLS ENVHLTH 102 Global Environmental Health 3 BIOL 192 320 Community Environmental Health Management ENVHLTH 415 Occupational Safety and Health ENVHLTH 416

Barrash, Warren

324

Bachelor of Science, Environmental and Occupational Health, 2012-2013 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Science, Environmental and Occupational Health, 2012-2013 Name ID# Date General Degree and Humanities 3-4 DLS ENGL 202 Technical Communication 3 DLS ENVHLTH 102 Global Environmental Health 3 BIOL 192 Management ENVHLTH 320 Community Environmental Health Management ENVHLTH 415 Occupational Safety and Health

Barrash, Warren

325

ICED'09/Paper number (Contribution ID) 1 INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN, ICED'09  

E-Print Network [OSTI]

ICED'09/Paper number (Contribution ID) 1 INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN, ICED'09 24 - 27 AUGUST 2009, STANFORD UNIVERSITY, STANFORD, CA, USA CREATIVITY THEORIES AND SCIENTIFIC DISCOVERY: A STUDY OF C-K THEORY AND INFUSED DESIGN ABSTRACT Creativity is central to human activity

Shai, Offer

326

Asking for Help Using Inverse Semantics Author Names Omitted for Anonymous Review. Paper-ID 69  

E-Print Network [OSTI]

Asking for Help Using Inverse Semantics Author Names Omitted for Anonymous Review. Paper-ID 69 an approach for enabling a robot to recover from failures by communicating its need for specific help targeted spoken-language requests for help such as "Please give me the white table leg that is on the black

Tellex, Stefanie

327

Bachelor of Science, Materials Science and Engineering, 2014-2015 Name ID# Date  

E-Print Network [OSTI]

404L Materials Analysis Lab 1 MSE 418 Phase Transformations and Kinetics 3 MSE 480 Senior Project I 3 FF MSE 482 Senior Project II 3 MSE 498 Materials Science Seminar 1 PHYS 212, 212L Physics IIBachelor of Science, Materials Science and Engineering, 2014-2015 Name ID# Date General Degree

Barrash, Warren

328

COMPUTER SCIENCE @ UCI >>> WhaT dId yOU lEaRN?  

E-Print Network [OSTI]

COMPUTER SCIENCE @ UCI >>> WhaT dId yOU lEaRN? My COURSES havE INClUdEd: Computer Graphics I these environments with avatars. Embedded Computing Systems I designed an intelligent hexapod robot that used optical Languages I built a personnel-scheduling application that integrated components written in multiple computer

Barrett, Jeffrey A.

329

.4/H 19%; 9.1'8-Id.3 Hypertension and Outcomes Research  

E-Print Network [OSTI]

.4/H 19%; 9.1'8-Id.3 Hypertension and Outcomes Research From Clinical Trials to Clinical about their effect tin major disease endpoints in patients with hypertension are still not available benefits of antihypertensive therapies. Am J Hypertens 15%;9:178-183 KEY wwux: Hypertension, drug therapy

Lin, Danyu

330

Online Submission ID: 0594 Sound Propagation in Large Complex Environments Using Wave-Ray Coupling  

E-Print Network [OSTI]

Online Submission ID: 0594 Sound Propagation in Large Complex Environments Using Wave-Ray Coupling-3 cal acoustic techniques for sound propagation that computes how4 sound waves travel in space reducing the overall computation.19 1 Introduction20 Sound propagation techniques determine how sound waves

North Carolina at Chapel Hill, University of

331

Online Submission ID: 0301 Wave-Ray Coupling for Interactive Sound Propagation in Large Complex Scenes  

E-Print Network [OSTI]

Online Submission ID: 0301 Wave-Ray Coupling for Interactive Sound Propagation in Large Complex numerical techniques.18 1 Introduction19 Sound propagation techniques are used to model how sound waves20 applications use geometric sound propagation40 techniques, which assume that sound waves travels like rays

North Carolina at Chapel Hill, University of

332

OUHSC Office of Research Administration For ORA Use Only Subcontract Cover Page Subcontract ID#: __________________  

E-Print Network [OSTI]

OUHSC Office of Research Administration For ORA Use Only Subcontract Cover Page Subcontract ID Justification (Can be in NIH Format) Not applicable if Subcontractor is Foreign. Purchasing Approval PURCHASING (attach completed form) No Exempt: For Purchasing Use Only Date received in Purchasing: Purchasing

Oklahoma, University of

333

Mechanism of Aluminum Soption on Birnessite: Influences on Chromium (ID.) Oxidation  

E-Print Network [OSTI]

Mechanism of Aluminum Soption on Birnessite: Influences on Chromium (ID.) Oxidation Scott E and their effects on Cr(Ill) oxidation. Aluminum had no effect on Cr(III) oxidation at pH values less than 4 electron microscopy revealed that an aluminum hydroxide surface precipitate formed on birnessite at pH ~ 4

Sparks, Donald L.

334

Annales Geophysicae (2004) 22: 32913297 SRef-ID: 1432-0576/ag/2004-22-3291  

E-Print Network [OSTI]

to the interaction of the radar beam with the background wind (e.g. Atlas, 1964; Hocking, 1985; Nastrom, 1997). WhileAnnales Geophysicae (2004) 22: 3291­3297 SRef-ID: 1432-0576/ag/2004-22-3291 © European Geosciences- beamwidth method and the traditional method are very sim- ilar in regions of light winds (

Paris-Sud XI, Université de

335

Annales Geophysicae (2004) 22: 23012308 SRef-ID: 1432-0576/ag/2004-22-2301  

E-Print Network [OSTI]

Annales Geophysicae (2004) 22: 2301­2308 SRef-ID: 1432-0576/ag/2004-22-2301 © European Geosciences populations of Correspondence to: H. Kucharek (kucharek@atlas.sr.unh.edu) backstreaming ions (e.g. Gosling et beams. Sonnerup (1969) demonstrated that solar wind protons could easily be energized if the bow shock

Paris-Sud XI, Université de

336

Annales Geophysicae (2004) 22: 40434048 SRef-ID: 1432-0576/ag/2004-22-4043  

E-Print Network [OSTI]

wind produced by three different numerical models in the European-Mediterranean area is analyzed observations of surface wind to predic- tive skill seems to be overall modest (Atlas et al., 2001Annales Geophysicae (2004) 22: 4043­4048 SRef-ID: 1432-0576/ag/2004-22-4043 © European Geosciences

Paris-Sud XI, Université de

337

Bachelor of Science, Mechanical Engineering, 2012-2013 Name ID# Date  

E-Print Network [OSTI]

ENGR 320 Thermodynamics I ENGR 330, 331 Fluid Mechanics and Lab ENGR 350 Engineering MechanicsBachelor of Science, Mechanical Engineering, 2012-2013 Name ID# Date General Degree Requirements ENGR 120 Introduction to Engineering ENGR 210 Engineering Statics ENGR 220 Engineering Dynamics ENGR

Barrash, Warren

338

CONFIRMATION NO. 1357 SESSION ID 3EI07 1 Fabrication and characterization of superconducting  

E-Print Network [OSTI]

CONFIRMATION NO. 1357 SESSION ID 3EI07 1 Fabrication and characterization of superconducting-angle evaporation in superconducting resonators with high quality factor. An important issue is to characterize the quality factor of the res- onators. We present an RF-characterization of superconducting resonators

339

RENEWABLE ENERGY FROM SWINE WASTE Bingjun He, University of Idaho, Moscow, ID 1  

E-Print Network [OSTI]

RENEWABLE ENERGY FROM SWINE WASTE Bingjun He, University of Idaho, Moscow, ID 1 Yuanhui Zhang, Ted waste and to produce renewable energy from swine manure. Experimental results showed that operating, gasification, and liquefaction. Among the TCC processes, direct liquefaction is the most widely studied biomass

He, Brian

340

Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 2)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 2 are the pattern and configuration files for the pattern showed in Figure 2b in the paper.

Seibert, M. Marvin; Ekeberg, Tomas

Note: This page contains sample records for the topic "aq batch id" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


341

Bachelor of Science, Electrical Engineering, 2013-2014 Name ID# Date  

E-Print Network [OSTI]

with Matrix Theory MATH 360 Engineering Statistics or MATH 361 Probability and Statistics I 3 4 4 3 4 4 4 3 3Bachelor of Science, Electrical Engineering, 2013-2014 Name ID# Date General Degree Requirements to Engineering 3 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS ENGL 202 Technical

Barrash, Warren

342

Bachelor of Science, Electrical Engineering, 2012-2013 Name ID# Date  

E-Print Network [OSTI]

Equations with Matrix Theory 4 MATH 360 Engineering Statistics or MATH 361 Probability and Statistics I 3Bachelor of Science, Electrical Engineering, 2012-2013 Name ID# Date General Degree Requirements to Engineering 3 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS ENGL 202 Technical

Barrash, Warren

343

Bachelor of Science, Electrical Engineering, 2014-2015 Name ID# Date  

E-Print Network [OSTI]

4 MATH 360 Engineering Statistics or MATH 361 Probability and Statistics I 3 PHYS 211, 211L-212, 212Bachelor of Science, Electrical Engineering, 2014-2015 Name ID# Date General Degree Requirements Senior Design Project II 3 ENGR 245 Introduction to Materials Science and Engineering 3 MATH 175 Calculus

Barrash, Warren

344

Bachelor of Science, Mechanical Engineering, 2014-2015 Name ID# Date  

E-Print Network [OSTI]

Equations with Matrix Theory 4 MATH 360 Engineering Statistics or MATH 361 Probability and Statistics I 3 MEBachelor of Science, Mechanical Engineering, 2014-2015 Name ID# Date General Degree Requirements Communication 3 DLS Social Sciences course in a second field 3 ENGR 120 Introduction to Engineering or ENGR 130

Barrash, Warren

345

Bachelor of Science, Computer Science, 2014-2015 Name ID# Date  

E-Print Network [OSTI]

MATH 189 Discrete Mathematics MATH 360 Engineering Statistics or MATH 361 Probability and Statistics IBachelor of Science, Computer Science, 2014-2015 Name ID# Date General Degree Requirements with Calculus & Lab 4-5 DLN Natural, Physical, and Applied Sciences course (One additional science course chosen

Barrash, Warren

346

Bachelor of Business Administration, Business Economics, 2014-2015 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Business Administration, Business Economics, 2014-2015 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Upper-division economics electives 15 FINAN 303 Principles of Finance 3 GENBUS 101 Business for the New

Barrash, Warren

347

Bachelor of Business Administration, General Business, 2013-2014 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Business Administration, General Business, 2013-2014 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Leadership for a New Generation 3 GENBUS 202 The Legal Environment of Business 3 FF GENBUS 450 Business

Barrash, Warren

348

Bachelor of Business Administration, International Business, 2012-2013 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Business Administration, International Business, 2012-2013 Name ID# Date General Degree Introduction to Managerial Accounting 3 3 CID BUSCOM 201 Business Communication BUSSTAT 207-208 Statistical Generation GENBUS 202 The Legal Environment of Business or GENBUS 304 Law For Accountants I FF GENBUS 450

Barrash, Warren

349

Bachelor of Business Administration, International Business, 2014-2015 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Business Administration, International Business, 2014-2015 Name ID# Date General Degree Introduction to Managerial Accounting CID BUSCOM 201 Business Communication BUSSTAT 207-208 Statistical FINAN 303 Principles of Finance FINAN 430 International Finance GENBUS 101 Business for the New

Barrash, Warren

350

Bachelor of Business Administration, Business Economics, 2012-2013 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Business Administration, Business Economics, 2012-2013 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Upper-division economics electives 15 FINAN 303 Principles of Finance 3 GENBUS 101 Business for the New

Barrash, Warren

351

Bachelor of Business Administration, Business Economics, 2013-2014 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Business Administration, Business Economics, 2013-2014 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Upper-division economics electives 15 FINAN 303 Principles of Finance 3 GENBUS 101 Business for the New

Barrash, Warren

352

BUSINESS INFORMATION MANAGEMENT @ UCI >>> WhAT dId yOU lEARN?  

E-Print Network [OSTI]

BUSINESS INFORMATION MANAGEMENT @ UCI >>> WhAT dId yOU lEARN? My COURSES hAvE INCl to Managerial Finance I learned how to make financial projections for technology projects. Business Intelligence and implement the kinds of databases that are used by virtually every business and enterprise in the world

Barrett, Jeffrey A.

353

Bachelor of Business Administration, International Business, 2013-2014 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Business Administration, International Business, 2013-2014 Name ID# Date General Degree Introduction to Managerial Accounting CID BUSCOM 201 Business Communication BUSSTAT 207-208 Statistical Generation GENBUS 202 The Legal Environment of Business or GENBUS 304 Law For Accountants I FF GENBUS 450

Barrash, Warren

354

Bachelor of Business Administration, General Business, 2012-2013 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Business Administration, General Business, 2012-2013 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Leadership for a New Generation 3 GENBUS 202 The Legal Environment of Business 3 FF GENBUS 450 Business

Barrash, Warren

355

Bachelor of Business Administration, General Business, 2014-2015 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Business Administration, General Business, 2014-2015 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Leadership for a New Generation 3 GENBUS 202 The Legal Environment of Business 3 FF GENBUS 450 Business

Barrash, Warren

356

Bachelor of Science, Social Science, 2013-2014 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Science, Social Science, 2013-2014 Name ID# Date General Degree Requirements Residency DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS Social

Barrash, Warren

357

Bachelor of Science, Social Science, 2012-2013 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Science, Social Science, 2012-2013 Name ID# Date General Degree Requirements Residency DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS Social

Barrash, Warren

358

Bachelor of Science, Social Science, 2014-2015 Name ID# Date  

E-Print Network [OSTI]

Bachelor of Science, Social Science, 2014-2015 Name ID# Date General Degree Requirements Residency DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS Social

Barrash, Warren

359

Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project  

E-Print Network [OSTI]

Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project Salvatore J. Stolfo by sensing a misuse or a breach of a security policy and alerting operators to an ongoing (or, at least on a weekly basis reporting that malicious users still succeed in attacking systems with sometimes devastating

Yang, Junfeng

360

TS-IDS Algorithm For Query Selection in the Deep Web Crawling  

E-Print Network [OSTI]

TS-IDS Algorithm For Query Selection in the Deep Web Crawling Yan Wang1 , Jianguo Lu2 , and Jessica. The deep web crawling is the process of collecting data items inside a data source hidden behind searchable of documents and terms involved, calls for new approximation algorithms for efficient deep web data crawling

Lu, Jianguo

Note: This page contains sample records for the topic "aq batch id" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
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to obtain the most current and comprehensive results.


361

J Forensic Sci, July 2004, Vol. 49, No. 4 Paper ID JFS2003350  

E-Print Network [OSTI]

J Forensic Sci, July 2004, Vol. 49, No. 4 Paper ID JFS2003350 Published 13 May 2004 Available Bettakurumba; and 11 south Indian caste individuals of mixed origins. KEYWORDS: forensic science, DNA typing 19428-2959. 1 #12;2 JOURNAL OF FORENSIC SCIENCES TABLE 1--Y-STR haplotypes from 81 south Indian males

Cordaux, Richard

362

J Forensic Sci, Mar. 2005, Vol. 50, No. 2 Paper ID JFS2004293  

E-Print Network [OSTI]

J Forensic Sci, Mar. 2005, Vol. 50, No. 2 Paper ID JFS2004293 Available online at: www in forensic DNA typing. It is used with highly degraded samples or low-copy number materials such as might specimens. A major disadvantage to traditional forensic mtDNA analysis is that it is time

363

The Impact Of The MCU Life Extension Solvent On Sludge Batch 8 Projected Operating Windows  

SciTech Connect (OSTI)

As a part of the Actinide Removal Process (ARP)/Modular Caustic Side Solvent Extraction Unit (MCU) Life Extension Project, a next generation solvent (NGS) and a new strip acid will be deployed. The strip acid will be changed from dilute nitric acid to dilute boric acid (0.01 M). Because of these changes, experimental testing or evaluations with the next generation solvent are required to determine the impact of these changes (if any) to Chemical Process Cell (CPC) activities, glass formulation strategies, and melter operations at the Defense Waste Processing Facility (DWPF). The introduction of the dilute (0.01M) boric acid stream into the DWPF flowsheet has a potential impact on glass formulation and frit development efforts since B2O3 is a major oxide in frits developed for DWPF. Prior knowledge of this stream can be accounted for during frit development efforts but that was not the case for Sludge Batch 8 (SB8). Frit 803 has already been recommended and procured for SB8 processing; altering the frit to account for the incoming boron from the strip effluent (SE) is not an option for SB8. Therefore, the operational robustness of Frit 803 to the introduction of SE including its compositional tolerances (i.e., up to 0.0125M boric acid) is of interest and was the focus of this study. The primary question to be addressed in the current study was: What is the impact (if any) on the projected operating windows for the Frit 803 SB8 flowsheet to additions of B2O3 from the SE in the Sludge Receipt and Adjustment Tank (SRAT)? More specifically, will Frit 803 be robust to the potential compositional changes occurring in the SRAT due to sludge variation, varying additions of ARP and/or the introduction of SE by providing access to waste loadings (WLs) of interest to DWPF? The Measurement Acceptability Region (MAR) results indicate there is very little, if any, impact on the projected operating windows for the Frit 803 SB8 system regardless of the presence or absence of ARP and SE (up to 2 wt% B2O3 contained in the SRAT and up to 2000 gallons of ARP). It should be noted that 0.95 wt% B2O3 is the nominal projected concentration in the SRAT based on a 0.0125M boric acid flowsheet with 70,000 liters of SE being added to the SRAT. The impact on CPC processing of a 0.01M boric acid solution for elution of cesium during Modular Caustic Side Solvent Extraction Unit (MCU) processing has previously been evaluated by the Savannah River National Laboratory (SRNL). Increasing the acid strength to 0.0125M boric acid to account for variations in the boric acid strength has been reviewed versus the previous evaluation. The amount of acid from the boric acid represented approximately 5% of the total acid during the previous evaluation. An increase from 0.01 to 0.0125M boric acid represents a change of approximately 1.3% which is well within the error of the acid calculation. Therefore, no significant changes to CPC processing (hydrogen generation, metal solubilities, rheological properties, REDOX control, etc.) are expected from an increase in allowable boric acid concentration from 0.01M to 0.0125M.

Peeler, D. K.; Edwards, T. B.; Stone, M. E.

2013-08-14T23:59:59.000Z

364

Sludge Washing And Demonstration Of The DWPF Flowsheet In The SRNL Shielded Cells For Sludge Batch 8 Qualification  

SciTech Connect (OSTI)

The current Waste Solidification Engineering (WSE) practice is to prepare sludge batches in Tank 51 by transferring sludge from other tanks to Tank 51. Tank 51 sludge is washed and transferred to Tank 40, the current Defense Waste Processing Facility (DWPF) feed tank. Prior to transfer of Tank 51 to Tank 40, the Savannah River National Laboratory (SRNL) typically simulates the Tank Farm and DWPF processes using a Tank 51 sample (referred to as the qualification sample). WSE requested the SRNL to perform characterization on a Sludge Batch 8 (SB8) sample and demonstrate the DWPF flowsheet in the SRNL shielded cells for SB8 as the final qualification process required prior to SB8 transfer from Tank 51 to Tank 40. A 3-L sample from Tank 51 (the SB8 qualification sample; Tank Farm sample HTF-51-12-80) was received by SRNL on September 20, 2012. The as-received sample was characterized prior to being washed. The washed material was further characterized and used as the material for the DWPF process simulation including a Sludge Receipt and Adjustment Tank (SRAT) cycle, a Slurry Mix Evaporator (SME) cycle, and glass fabrication and chemical durability measurements.

Pareizs, J. M.; Crawford, C. L.

2013-04-26T23:59:59.000Z

365

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 5303  

E-Print Network [OSTI]

Harjunkoski and Gross- mann (2001) where a four-step batch process transforms scrap metal into cast steel, from long term to short term management and from industrial networks to single plants (Gibbs and Deutz

Mailhes, Corinne

366

SLUDGE WASHING AND DEMONSTRATION OF THE DWPF FLOWSHEET IN THE SRNL SHIELDED CELLS FOR SLUDGE BATCH 6 QUALIFICATION  

SciTech Connect (OSTI)

Prior to initiating a new sludge batch in the Defense Waste Processing Facility (DWPF), Savannah River National Laboratory (SRNL) is required to simulate this processing, including Chemical Process Cell (CPC) simulation, waste glass fabrication, and chemical durability testing. This report documents this simulation for the next sludge batch, Sludge Batch 6 (SB6). SB6 consists of Tank 12 material that has been transferred to Tank 51 and subjected to Low Temperature Aluminum Dissolution (LTAD), Tank 4 sludge, and H-Canyon Pu solutions. Following LTAD and the Tank 4 addition, Liquid Waste Operations (LWO) provided SRNL a 3 L sample of Tank 51 sludge for SB6 qualification. Pu solution from H Canyon was also received. SB6 qualification included washing the sample per LWO plans/projections (including the addition of Pu from H Canyon), DWPF CPC simulations, waste glass fabrication (vitrification), and waste glass characterization and chemical durability evaluation. The following are significant observations from this demonstration. Sludge settling improved slightly as the sludge was washed. SRNL recommended (and the Tank Farm implemented) one less wash based on evaluations of Tank 40 heel projections and projections of the glass composition following transfer of Tank 51 to Tank 40. Thorium was detected in significant quantities (>0.1 wt % of total solids) in the sludge. In past sludge batches, thorium has been determined by Inductively Coupled Plasma-Mass Spectroscopy (ICP-MS), seen in small quantities, and reported with the radionuclides. As a result of the high thorium, SRNL-AD has added thorium to their suite of Inductively Coupled Plasma-Atomic Emission Spectroscopy (ICP-AES) elements. The acid stoichiometry for the DWPF Sludge Receipt and Adjustment Tank (SRAT) processing of 115%, or 1.3 mol acid per liter of SRAT receipt slurry, was adequate to accomplish some of the goals of SRAT processing: nitrite was destroyed to below 1,000 mg/kg and mercury was removed to below the DWPF target with 750 g of steam per g of mercury. However, rheological properties did not improve and were above the design basis. Hydrogen generation rates did not exceed DWPF limits during the SRAT and Slurry Mix Evaporator (SME) cycles. However, hydrogen generation during the SRAT cycle approached the DWPF limit. The glass fabricated with the Tank 51 SB6 SME product and Frit 418 was acceptable with respect to chemical durability as measured by the Product Consistency Test (PCT). The PCT response was also predictable by the current durability models of the DWPF Product Composition Control System (PCCS). It should be noted, however, that in the first attempt to make glass from the SME product, the contents of the fabrication crucible foamed over. This may be a result of the SME product's REDOX (Reduction/Oxidation - Fe{sup 2+}/{Sigma}Fe) of 0.08 (calculated from SME product analytical results). The following are recommendations drawn from this demonstration. In this demonstration, at the request of DWPF, SRNL caustic boiled the SRAT contents prior to acid addition to remove water (to increase solids concentration). During the nearly five hours of caustic boiling, 700 ppm of antifoam was required to control foaming. SRNL recommends that DWPF not caustic boil/concentrate SRAT receipt prior to acid addition until further studies can be performed to provide a better foaming control strategy or a new antifoam is developed for caustic boiling. Based on this set of runs and a recently completed demonstration with the SB6 Waste Acceptance Product Specifications (WAPS) sample, it is recommended that DWPF not add formic acid at the design addition rate of two gallons per minute for this sludge batch. A longer acid addition time appears to be helpful in allowing slower reaction of formic acid with the sludge and possibly decreases the chance of a foam over during acid addition.

Pareizs, J.; Pickenheim, B.; Bannochie, C.; Billings, A.; Bibler, N.; Click, D.

2010-10-01T23:59:59.000Z

367

E-Print Network 3.0 - aq ybt aq Sample Search Results  

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

Source: Michalski, Ryszard S. - School of Computational Sciences, George Mason University Collection: Computer Technologies and Information Sciences 96 1. Constituents of rainwater...

368

E-Print Network 3.0 - aq ybs aq Sample Search Results  

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

Source: Michalski, Ryszard S. - School of Computational Sciences, George Mason University Collection: Computer Technologies and Information Sciences 98 1. Constituents of rainwater...

369

Ab Initio Calculation of Isotopic Fractionation in B(OH)(aq) and BOH(aq). |  

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

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

370

University/Classified Non-Exempt OT Compensation The College of William and Mary/VIMS Banner ID # : Date  

E-Print Network [OSTI]

University/Classified Non-Exempt OT Compensation The College of William and Mary/VIMS Employer: W&M VIMS Banner ID # : Date: Employee Name: Last First Middle University/Classified Non-Exempt Overtime

Swaddle, John

371

Student ID Advisor 1st Year Fall __________ (year) 1st Year Spr. __________ (year) 1st Year Sum. __________ (year)  

E-Print Network [OSTI]

Name Major Student ID Advisor 1st Year Fall __________ (year) 1st Year Spr. __________ (year) 1st) Projected Graduation Date SUBJECT SUBJECT CR. HRS. SUBJECT COURSE # CR. HRS. Advisor Signature Date Student

Barrash, Warren

372

Gray boxes indicate courses for which student must be admitted to upper-level. Students must meet all prerequisites for each course. All prerequisites are strictly enforced, unless approval has been given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTI  

E-Print Network [OSTI]

Prerequisites 240 ­Open to anyone 300 ­PHYS208 303 ­Upper Level 330 ­ID240 340 ­ID240 343 ­STAT201or303 344 ­ID ENDG 105. 1-3-2 Engineering Graphics STAT 201 or 303 3-0-3 Elem Stat Inference or Stat Methods 420 ­ID given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTION Texas A&M University Catalogs 134 to 136 2011

Behmer, Spencer T.

373

raulin@ivry.cnrs.fr Pages web perso : http://www.ivry.cnrs.fr/lau/rubrique.php?id_rubrique=91  

E-Print Network [OSTI]

raulin@ivry.cnrs.fr Pages web perso : http://www.ivry.cnrs.fr/lau/rubrique.php?id_rubrique=91), Strasbourg : France (1988)" #12;raulin@ivry.cnrs.fr Pages web perso : http://www.ivry.cnrs.fr/lau/rubrique.php?id_rubrique=91 halshs-00010548,version1-14Jan2010 #12;raulin@ivry.cnrs.fr Pages web perso : http://www.ivry.cnrs.fr/lau/rubrique.php

Paris-Sud XI, Université de

374

PROGRAM OF STUDY FOR A BACHELOR OF ARTS IN STATISTICS NAME: ID #  

E-Print Network [OSTI]

PROGRAM OF STUDY FOR A BACHELOR OF ARTS IN STATISTICS NAME: ID #: P.O.Box: Tel #: E-mail: @aub 210f 3 MATH 218 MATH 219 3 STAT 233f 3 STAT 234f 3 STAT 235f 3 STAT 236f 3 STAT 237f 3 STAT 238f 3 REQUIRED MATH/STAT/CMPS ELECTIVE COURSES NUMBERED 212f OR ABOVE EXCLUDING STAT 230 ELECT .1 3 ELECT .2 3

Shihadeh, Alan

375

English Bachelor Modules Dep. EI 09/14 Modul ID Modulbezeichnung Sem. ECTS  

E-Print Network [OSTI]

English Bachelor Modules Dep. EI 09/14 Modul ID Modulbezeichnung Sem. ECTS Lehrform V//P SWS Prfungsart Spra- che EI0679 Basic Laboratory Course on Telecommunications WS/SS 5 0/0/4 4 7x s, 30 min (je 1/7) E EI0554 Blockpraktikum C++ WS/SS 6 2/0/4 6 s, 60 min (60%) + m (40%) + l (SL) D/E EI0607

Kuehnlenz, Kolja

376

Documentation of toxicity testing results on increased supernate treatment rate of 2700 gallons/batch. Revision 1  

SciTech Connect (OSTI)

In February 1991, Reactor Materials increased the rate of supernate treatment in the M-Area Dilute Effluent Treatment Facility (DETF) from 1800 gallons to {approximately}2700 gallons of supernate per 36,000 gallon dilute wastewater batch. The first release of the treated effluent began on March 3, 1991. A series of whole effluent toxicity tests was conducted on the DETF effluent to determine if the increased supernate concentration would result in any chronic toxicity affects in the receiving stream (Tims Branch). The toxicity tests were conducted at instream concentrations equivalent to DETF release rates of 5, 10, 15, 20, and 25 gallons/min. The test results, based on 7-day Ceriodaphnia dubia chronic toxicity, indicated no toxicity effects at any concentration tested. Supernate treatment in DETF continued at the higher concentration.

Pickett, J.B.

1992-07-06T23:59:59.000Z

377

CRC DEPLETION CALCULATIONS FOR THE NON-RODDED ASSEMBLIES IN BATCHES 8 AND 9 CRYSTAL RIVER UNIT 3  

SciTech Connect (OSTI)

The purpose of this design analysis is to document the SAS2H depletion calculations of certain non-rodded fuel assemblies from batches 8 and 9 of the Crystal River Unit 3 pressurized water reactor (PWR) that are required for Commercial Reactor Critical (CRC) evaluations to support the development of the disposal criticality methodology. A non-rodded assembly is one which never contains a control rod assembly (CRA) or an axial power shaping rod assembly (APSRA) during its irradiation history. The objective of this analysis is to provide SAS2H generated isotopic compositions for each fuel assembly's depleted fuel and depleted burnable poison materials. These SAS2H generated isotopic compositions are acceptable for use in CRC benchmark reactivity calculations containing the various fuel assemblies.

Michael L. Wilson

2001-02-08T23:59:59.000Z

378

Coal fly ash interaction with environmental fluids: Geochemical and strontium isotope results from combined column and batch leaching experiments  

SciTech Connect (OSTI)

The major element and Sr isotope systematics and geochemistry of coal fly ash and its interactions with environmental waters were investigated using laboratory flow-through column leaching experiments (sodium carbonate, acetic acid, nitric acid) and sequential batch leaching experiments (water, acetic acid, hydrochloric acid). Column leaching of Class F fly ash samples shows rapid release of most major elements early in the leaching procedure, suggesting an association of these elements with soluble and surface bound phases. Delayed release of certain elements (e.g., Al, Fe, Si) signals gradual dissolution of more resistant silicate or glass phases as leaching continues. Strontium isotope results from both column and batch leaching experiments show a marked increase in {sup 87}Sr/{sup 86}Sr ratio with continued leaching, yielding a total range of values from 0.7107 to 0.7138. For comparison, the isotopic composition of fluid output from a fly ash impoundment in West Virginia falls in a narrow range around 0.7124. The experimental data suggest the presence of a more resistant, highly radiogenic silicate phase that survives the combustion process and is leached after the more soluble minerals are removed. Strontium isotopic homogenization of minerals in coal does not always occur during the combustion process, despite the high temperatures encountered in the boiler. Early-released Sr tends to be isotopically uniform; thus the Sr isotopic composition of fly ash could be distinguishable from other sources and is a useful tool for quantifying the possible contribution of fly ash leaching to the total dissolved load in natural surface and ground waters.

Brubaker, Tonya M.; Stewart, Brian W.; Capo, Rosemary C.; Schroeder, Karl T.; Chapman, Elizabeth C.; Spivak-Birndorf, Lev J.; Vesper, Dorothy J.; Cardone, Carol R.; Rohar, Paul C.

2013-05-01T23:59:59.000Z

379

Efficient Implementation of MPI-2 Pas s iv e O ne-S id ed C ommu nication on InfiniB and  

E-Print Network [OSTI]

Efficient Implementation of MPI- 2 Pas s iv e O ne- S id ed C ommu nication on InfiniB and C lu # # $ a ( ) % % $ a a# $ a i n a $ + id d ' ( ini ia $ a i n , u$ $ # % i' % # # uni a i n $ a n u% d i-sided communications ... Access Epoch Origin Target window #12;n ini n . $ n indu ( anda d P + id ig

Panda, Dhabaleswar K.

380

SLURRY MIX EVAPORATOR BATCH ACCEPTABILITY AND TEST CASES OF THE PRODUCT COMPOSITION CONTROL SYSTEM WITH THORIUM AS A REPORTABLE ELEMENT  

SciTech Connect (OSTI)

The Defense Waste Processing Facility (DWPF), which is operated by Savannah River Remediation, LLC (SRR), has recently begun processing Sludge Batch 6 (SB6) by combining it with Frit 418 at a nominal waste loading (WL) of 36%. A unique feature of the SB6/Frit 418 glass system, as compared to the previous glass systems processed in DWPF, is that thorium will be a reportable element (i.e., concentrations of elemental thorium in the final glass product greater than 0.5 weight percent (wt%)) for the resulting wasteform. Several activities were initiated based upon this unique aspect of SB6. One of these was an investigation into the impact of thorium on the models utilized in DWPF's Product Composition and Control System (PCCS). While the PCCS is described in more detail below, for now note that it is utilized by Waste Solidification Engineering (WSE) to evaluate the acceptability of each batch of material in the Slurry Mix Evaporator (SME) before this material is passed on to the melter. The evaluation employs models that predict properties associated with processability and product quality from the composition of vitrified samples of the SME material. The investigation of the impact of thorium on these models was conducted by Peeler and Edwards [1] and led to a recommendation that DWPF can process the SB6/Frit 418 glass system with ThO{sub 2} concentrations up to 1.8 wt% in glass. Questions also arose regarding the handling of thorium in the SME batch acceptability process as documented by Brown, Postles, and Edwards [2]. Specifically, that document is the technical bases of PCCS, and while Peeler and Edwards confirmed the reliability of the models, there is a need to confirm that the current implementation of DWPF's PCCS appropriately handles thorium as a reportable element. Realization of this need led to a Technical Task Request (TTR) prepared by Bricker [3] that identified some specific SME-related activities that the Savannah River National Laboratory (SRNL) was requested to conduct. SRNL issued a Task Technical and Quality Assurance (TT&QA) plan [4] in response to the SRR request. The conclusions provided in this report are that no changes need to be made to the SME acceptability process (i.e., no modifications to WSRC-TR-95-00364, Revision 5, are needed) and no changes need to be made to the Product Composition Control System (PCCS) itself (i.e. the spreadsheet utilized by Waste Solidification Engineering (WSE) for acceptability decisions does not require modification) in response to thorium becoming a reportable element for DWPF operations. In addition, the inputs and results for the two test cases requested by WSE for use in confirming the successful activation of thorium as a reportable element for DWPF operations during the processing of SB6 are presented in this report.

Edwards, T.

2010-10-07T23:59:59.000Z

Note: This page contains sample records for the topic "aq batch id" from the National Library of EnergyBeta (NLEBeta).
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381

Gray boxes indicate courses for which student must be admitted to upper-level. Students must meet all prerequisites for each course. All prerequisites are strictly enforced, unless approval has been given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTI  

E-Print Network [OSTI]

to anyone 300 ­PHYS202 303 ­Upper Level 330/430 ­ID340 340 ­ID240 343 ­STAT201or303 344 ­ID340,ID343 400 ­ID given by the ID Academic Advisor. INDUSTRIAL DISTRIBUTION Texas A&M University Catalogs 129 to 133 2006 202 3-0-3 Prin of Econ ACCT 209 3-0-3 Srvy of Acct Prin STAT 201 or STAT 303 3-0-3 Elem Stat Inference

Behmer, Spencer T.

382

IDS-NF Impact of Neutrino Cross Section Impact of Neutrino Cross Section  

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 ProposedUsingFun withconfinementEtching. | EMSL Bubblesstructure thebyIDEAS1,3,IDS-NF

383

Comments on Docket ID: DOE-HQ-2011-0014 | 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) "of Energy Power Systems EngineeringDepartmentSmart Grid RFI: Addressing PolicyDepartment ofon Docket ID:

384

AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT /1. CONTRACT ID CODE  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See95TI07)Operations2 Print258 PrintSOLI CONTRACT ID CODE

385

AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1. CONTRACT ID CODE PAGE OF PAGES  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See95TI07)Operations2 Print258 PrintSOLI CONTRACT ID

386

AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1.CONTRACT ID CODE PAGE OF PAGES  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See95TI07)Operations2 Print258 PrintSOLI CONTRACT ID 3OTATI

387

AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 11. CONTRACT ID CODE  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See95TI07)Operations2 Print258 PrintSOLI CONTRACT ID 3OTATI I

388

AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 11. CONTRACT ID CODE 1 PAGE OF PAGES  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See95TI07)Operations2 Print258 PrintSOLI CONTRACT ID 3OTATI I1

389

AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT \1. CONTRACT ID CODE  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See95TI07)Operations2 Print258 PrintSOLI CONTRACT ID 3OTATIID

390

AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT 1. CONTRACT ID CODE P AE  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01) (See95TI07)Operations2 Print258 PrintSOLI CONTRACT ID11. OF

391

Idaho How to Obtain EPA ID Number Webpage | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation,Ohio:GreerHiCalifornia:ISI Solar JumpObtain EPA ID Number Webpage Jump to:

392

Hydrogen Generation through Indirect Biophotolysis in Batch Cultures of the Non-Heterocystous Nitrogen-Fixing Cyanobacterium Plectonema boryanum  

SciTech Connect (OSTI)

The nitrogen-fixing non-heterocystous cyanobacterium Plectonema boryanum was used as a model organism to study hydrogen generation by indirect biophotolysis in nitrogen-limited batch cultures that were continuously illuminated and sparged with argon/CO2 to maintain anaerobiosis. The highest hydrogen production rate (i.e., 0.18 mL/mg?day or 7.3 ?mol/mg?day) ) was observed in cultures with an initial medium nitrate concentration of 1 mM at a light intensity of 100 ?mol/m2?sec. The addition of photosystem II inhibitor DCMU did not reduce hydrogen production rates relative to unchallenged controls for 50 to 150 hours, and intracellular glycogen concentrations decreased significantly during the hydrogen generation period. The insensitivity of the hydrogen production process to DCMU is indicative of the fact that hydrogen was not derived from water splitting at photosystem II (i.e., direct biophotolysis) but rather from electrons provided by intracellular glycogen reserves (i.e., indirect biophotolysis). It was shown that hydrogen generation could be sustained for long time periods by subjecting the cultures to alternating cycles of aerobic, nitrogen-limited growth and anaerobic hydrogen production.

Huesemann, Michael H.; Hausmann, Tom S.; Carter, Blaine M.; Gerschler, Jared J.; Benemann, John R.

2010-09-01T23:59:59.000Z

393

Analytical Plans Supporting The Sludge Batch 8 Glass Variability Study Being Conducted By Energysolutions And Cua's Vitreous State Laboratory  

SciTech Connect (OSTI)

EnergySolutions (ES) and its partner, the Vitreous State Laboratory (VSL) of The Catholic University of America (CUA), are to provide engineering and technical services support to Savannah River Remediation, LLC (SRR) for ongoing operation of the Defense Waste Processing Facility (DWPF) flowsheet as well as for modifications to improve overall plant performance. SRR has requested via a statement of work that ES/VSL conduct a glass variability study (VS) for Sludge Batch 8. SRR issued a technical task request (TTR) asking that the Savannah River National Laboratory (SRNL) provide planning and data reduction support for the ES/VSL effort. This document provides two analytical plans for use by ES/VSL: one plan is to guide the measurement of the chemical composition of the study glasses while the second is to guide the measurement of the durability of the study glasses. The measurements generated by ES/VSL are to be provided to SRNL for data reduction and evaluation. SRNL is to review the results of its evaluation with ES/VSL and SRR. The results will subsequently be incorporated into a joint report with ES/VSL as a deliverable to SRR to support the processing of SB8 at DWPF.

Edwards, T. B.; Peeler, D. K.

2012-11-26T23:59:59.000Z

394

Sequence and batch language programs and alarm-related ``C`` programs for the 242-A MCS. Revision 2  

SciTech Connect (OSTI)

A Distributive Process Control system was purchased by Project B-534, ``242-A Evaporator/Crystallizer Upgrades``. This control system, called the Monitor and Control System (MCS), was installed in the 242-A Evaporator located in the 200 East Area. The purpose of the MCS is to monitor and control the Evaporator and monitor a number of alarms and other signals from various Tank Farm facilities. Applications software for the MCS was developed by the Waste Treatment Systems Engineering (WTSE) group of Westinghouse. The standard displays and alarm scheme provide for control and monitoring, but do not directly indicate the signal location or depict the overall process. To do this, WTSE developed a second alarm scheme which uses special programs, annunciator keys, and process graphics. The special programs are written in two languages; Sequence and Batch Language (SABL), and ``C`` language. The WTSE-developed alarm scheme works as described below: SABL relates signals and alarms to the annunciator keys, called SKID keys. When an alarm occurs, a SABL program causes a SKID key to flash, and if the alarm is of yellow or white priority then a ``C`` program turns on an audible horn (the D/3 system uses a different audible horn for the red priority alarms). The horn and flashing key draws the attention of the operator.

Berger, J.F.

1995-03-01T23:59:59.000Z

395

RESORCINOL-FORMALDEHYDE ADSORPTION OF CESIUM (Cs+) FROM HANFORD WASTE SOLUTIONS-PART I: BATCH EQUILIBRIUM STUDY  

SciTech Connect (OSTI)

Batch equilibrium measurements were conducted with a granular Resorcinol-Formaldehyde (RF) resin to determine the distribution coefficients (Kds) for cesium. In the tests, Hanford Site actual waste sample containing radioactive cesium and a pretreated waste sample that was spiked with non-radioactive cesium were used. Initial concentrations of non-radioactive cesium in the waste sample were varied to generate an equilibrium isotherm for cesium. Two additional tests were conducted using a liquid to solid phase ratio of 10 and a contact time of 120 hours. The measured distribution coefficient (Kd) for radioactive cesium (137Cs) was 948 mL/g; the Kd for non-radioactive cesium (133Cs) was 1039 mL/g. The Kd for non-radioactive cesium decreased from 1039 to 691 mL/g as the initial cesium concentration increased. Very little change of the Kd was observed at initial cesium concentrations above 64 mg/mL. The maximum sorption capacity for cesium on granular RF resin was 1.17 mmole/g dry resin. T his value was calculated from the fit of the equilibrium isotherm data to the Dubinin-Radushkevich equation. Previously, a total capacity of 2.84 mmole/g was calculated by Bibler and Wallace for air-dried RF resin.

HASSAN, NEGUIBM

2004-03-30T23:59:59.000Z

396

Environmental Science and Research Foundation annual technical report to DOE-ID, January , 1995--December 31, 1995  

SciTech Connect (OSTI)

The foundation conducts an environmental monitoring and surveillance program over an area covering much of the upper Snake River Plain and provide environmental education and support services related to INEL natural resource issues. Also, the foundation, with its university affiliates, conducts ecological and radioecological research on the Idaho National Environmental Research Park. This research benefits major DOE-ID programs including waste management, environmental restoration, spent nuclear fuels, and land management issues. Major accomplishments during CY1995 can be divided into five categories: environmental surveillance program, environmental education, environmental services and support, ecological risk assessment, and research benefitting the DOE-ID mission.

NONE

1996-06-01T23:59:59.000Z

397

Beadando hazi feladatok 2014/1. Az alabbiakban id~onkent a DE=differencialegyenlet roviditessel elek.  

E-Print Network [OSTI]

Beadand´o h´azi feladatok 2014/1. Az al´abbiakban id~onk´ent a DE=differenci´alegyenlet r~o, az ´erint´esi pontot az orig´oval ¨osszek¨ot~o egyenes ´es az x tengely olyan egyenl~osz´ar´u h´egpontja falhoz van er~os´itve, a B v´egpontb´ol egy katicabog´ar t = 0 id~opontban elindul az A v´egpont fel

Katalin, Nagy

398

Beadando hazi feladatok 2013/1. Az alabbiakban id~onkent a DE=differencialegyenlet roviditessel elek.  

E-Print Network [OSTI]

Beadand´o h´azi feladatok 2013/1. Az al´abbiakban id~onk´ent a DE=differenci´alegyenlet r~o, az ´erint´esi pontot az orig´oval ¨osszek¨ot~o egyenes ´es az x tengely olyan egyenl~osz´ar´u h van er~os´itve, a B v´egpontb´ol egy katicabog´ar t = 0 id~opontban elindul az A v´egpont fel

Katalin, Nagy

399

Housing, Meal Plan, and I.D. Card Services Health Services Food Services REQUEST FOR REASONABLE HOUSING OR MEAL PLAN ACCOMMODATION  

E-Print Network [OSTI]

Housing, Meal Plan, and I.D. Card Services Health Services Food Services REQUEST FOR REASONABLE by the Syracuse University Clinical Director of Health Services who will make a determination of the validity of this request. A recommendation will then be forwarded to the Housing, Meal Plan, and I.D. Card Service Center

Mather, Patrick T.

400

Deposit Description (for FIS, max 30 characters) Outd $ PSU ID/Acct #, Name(Last, First, MI), or other comments Cards $  

E-Print Network [OSTI]

Cash $ Deposit Description (for FIS, max 30 characters) Outd $ Checks $ PSU ID/Acct #, Name documentation attached. Must equal 0: PSU Miscellaneous Deposit Form Cash $ Deposit Description (for FIS, max 30 Deposit Form Cash $ Deposit Description (for FIS, max 30 characters) Outd $ Checks $ PSU ID/Acct #, Name

Caughman, John

Note: This page contains sample records for the topic "aq batch id" 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

http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336&topicname=Intersect_(Analysis) Intersect Computes a geometric intersection of the Input Features. Features or portions of  

E-Print Network [OSTI]

http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336&topicname;http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336&topicname

Brownstone, Rob

402

http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname=Merge_(Data_Management) Merge Combines input features from multiple input sources (of the same datatype) into a single,  

E-Print Network [OSTI]

http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname=Merge_(Data_Management) Parameters: Input Datasets

Brownstone, Rob

403

http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1348&pid=1347&topicname=Buffer_(Analysis) Buffer Creates buffer polygons to a specified distance around the Input Features. An optional  

E-Print Network [OSTI]

http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1348&pid=1347&topicname ­Proximity Toolset ­ Buffer #12;http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1348&pid=1347

Brownstone, Rob

404

http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1840&pid=1837&topicname=Dissolve_(Data_Management) Dissolve Aggregates features based on specified attributes. It removes internal boundaries.  

E-Print Network [OSTI]

http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1840&pid=1837&topicname://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1840&pid=1837&topicname=Dissolve_(Data_Management) Parameters: Input Features

Brownstone, Rob

405

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 6067  

E-Print Network [OSTI]

to be synthesized in both macro and reduced scale reactors, in order to compare its performance and to afford of performances of microstructured and stirred batch reactors. Tetrahedron, vol. 53 (n°27). pp. 3474-3477. ISSN that collects the work of Toulouse researchers and makes it freely available over the web where possible. Any

Mailhes, Corinne

406

Integration of the Uncertainties of Anion and TOC Measurements into the Flammability Control Strategy for Sludge Batch 8 at the DWPF  

SciTech Connect (OSTI)

The Savannah River National Laboratory (SRNL) has been working with the Savannah River Remediation (SRR) Defense Waste Processing Facility (DWPF) in the development and implementation of a flammability control strategy for DWPFs melter operation during the processing of Sludge Batch 8 (SB8). SRNLs support has been in response to technical task requests that have been made by SRRs Waste Solidification Engineering (WSE) organization. The flammability control strategy relies on measurements that are performed on Slurry Mix Evaporator (SME) samples by the DWPF Laboratory. Measurements of nitrate, oxalate, formate, and total organic carbon (TOC) standards generated by the DWPF Laboratory are presented in this report, and an evaluation of the uncertainties of these measurements is provided. The impact of the uncertainties of these measurements on DWPFs strategy for controlling melter flammability also is evaluated. The strategy includes monitoring each SME batch for its nitrate content and its TOC content relative to the nitrate content and relative to the antifoam additions made during the preparation of the SME batch. A linearized approach for monitoring the relationship between TOC and nitrate is developed, equations are provided that integrate the measurement uncertainties into the flammability control strategy, and sample calculations for these equations are shown to illustrate the impact of the uncertainties on the flammability control strategy.

Edwards, T. B.

2013-03-14T23:59:59.000Z

407

5/7/10 7:36 AMEureka!: UMass researchers study messengers from the stars Page 1 of 3http://www.gazettenet.com/print/268409?CSAuthResp=%3Asession%...ss%3AMMkuMGHWo1eZ4aGIQGMuaQ%3D%3D&CSUserId=49689&CSGroupId=5  

E-Print Network [OSTI]

/268409?CSAuthResp=%3Asession%...ss%3AMMkuMGHWo1eZ4aGIQGMuaQ%3D%3D&CSUserId=49689&CSGroupId=5 Published?CSAuthResp=%3Asession%...ss%3AMMkuMGHWo1eZ4aGIQGMuaQ%3D%3D&CSUserId=49689&CSGroupId=5 radioactive decay5/7/10 7:36 AMEureka!: UMass researchers study messengers from the stars Page 1 of 3http://www.gazettenet.com/print

Lovley, Derek

408

SLUDGE WASHING AND DEMONSTRATION OF THE DWPF FLOWSHEET IN THE SRNL SHIELDED CELLS FOR SLUDGE BATCH 5 QUALIFICATION  

SciTech Connect (OSTI)

Sludge Batch 5 (SB5) is predominantly a combination of H-modified (HM) sludge from Tank 11 that underwent aluminum dissolution in late 2007 to reduce the total mass of sludge solids and aluminum being fed to the Defense Waste Processing Facility (DWPF) and Purex sludge transferred from Tank 7. Following aluminum dissolution, the addition of Tank 7 sludge and excess Pu to Tank 51, Liquid Waste Operations (LWO) provided the Savannah River National Laboratory (SRNL) a 3-L sample of Tank 51 sludge for SB5 qualification. SB5 qualification included washing the sample per LWO plans/projections (including the addition of a Pu/Be stream from H Canyon), DWPF Chemical Process Cell (CPC) simulations, waste glass fabrication (vitrification), and waste glass chemical durability evaluation. This report documents: (1) The washing (addition of water to dilute the sludge supernatant) and concentration (decanting of supernatant) of the Tank 51 qualification sample to adjust sodium content and weight percent insoluble solids to Tank Farm projections. (2) The performance of a DWPF CPC simulation using the washed Tank 51 sample. This includes a Sludge Receipt and Adjustment Tank (SRAT) cycle, where acid is added to the sludge to destroy nitrite and remove mercury, and a Slurry Mix Evaporator (SME) cycle, where glass frit is added to the sludge in preparation for vitrification. The SME cycle also included replication of five canister decontamination additions and concentrations. Processing parameters for the CPC processing were based on work with a non radioactive simulant. (3) Vitrification of a portion of the SME product and Product Consistency Test (PCT) evaluation of the resulting glass. (4) Rheology measurements of the initial slurry samples and samples after each phase of CPC processing. This work is controlled by a Task Technical and Quality Assurance Plan (TTQAP) , and analyses are guided by an Analytical Study Plan. This work is Technical Baseline Research and Development (R&D) for the DWPF.

Pareizs, J; Cj Bannochie, C; Damon Click, D; Dan Lambert, D; Michael Stone, M; Bradley Pickenheim, B; Amanda Billings, A; Ned Bibler, N

2008-11-10T23:59:59.000Z

409

Biodegradation of high explosives on granular activated carbon [GAC]: Enhanced desorption of high explosives from GAC -- Batch studies  

SciTech Connect (OSTI)

Adsorption to GAC is an effective method for removing high explosives (HE) compounds from water, but no permanent treatment is achieved. Bioregeneration, which treats adsorbed contaminants by desorption and biodegradation, is being developed as a method for reducing GAC usage rates and permanently degrading RDX and HMX. Because desorption is often the limiting mass transfer mechanism in bioregeneration systems, several methods for increasing the rate and extent of desorption of RDX and HMX are being studied. These include use of cosolvents (methanol and ethanol), surfactants (both anionic and nonionic), and {beta}- and {gamma}-cyclodextrins. Batch experiments to characterize the desorption of these HEs from GAC have been completed using Northwestern LB-830, the GAC being used at Pantex. Over a total of 11 days of desorption, about 3% of the adsorbed RDX was desorbed from the GAC using buffered water as the desorption fluid. In comparison, about 96% of the RDX was extracted from the GAC by acetonitrile over the same desorption period. Ethanol and methanol were both effective in desorbing RDX and HMX; higher alcohol concentrations were able to desorb more HE from the GAC. Surfactants varied widely in their abilities to enhance desorption of HEs. The most effective surfactant that was studied was sodium dodecyl sulfate (SDS), which desorbed 56.4% of the adsorbed RDX at a concentration of 500 mg SDS/L. The cyclodextrins that were used were marginally more effective than water. Continuous-flow column tests are underway for further testing the most promising of these methods. These results will be compared to column experiments that have been completed under baseline conditions (using buffered water as the desorption fluid). Results of this research will support modeling and design of further desorption and bioregeneration experiments.

Morley, M.C.; Speitel, G.E. Jr. [Univ. of Texas, Austin, TX (United States). Dept. of Civil Engineering

1999-03-01T23:59:59.000Z

410

Analyses by the Defense Waste Processing Facility Laboratory of Thorium Glasses from the Sludge Batch 6 Variability Study  

SciTech Connect (OSTI)

The Savannah River Remediation (SRR) Defense Waste Processing Facility (DWPF) is currently processing Sludge Batch 6 (SB6) with Frit 418. At times during the processing of this glass system, thorium is expected to be at concentrations in the final wasteform that make it a reportable element for the first time since startup of radioactive operations at the DWPF. The Savannah River National Laboratory (SRNL) supported the qualification of the processing of this glass system at the DWPF. A recommendation from the SRNL studies was the need for the DWPF Laboratory to establish a method to measure thorium by Inductively Coupled Plasma - Atomic Emission Spectroscopy (ICPAES). This recommendation led to the set of thorium-bearing glasses from the SB6 Variability Study (VS) being submitted to the DWPF Laboratory for chemical composition measurement. The measurements were conducted by the DWPF Laboratory using the sodium peroxide fusion preparation method routinely employed for analysis of samples from the Slurry Mix Evaporator (SME). These measurements are presented and reviewed in this report. The review indicates that the measurements provided by the DWPF Laboratory are comparable to those provided by Analytical Development's laboratory at SRNL for these same glasses. As a result, the authors of this report recommend that the DWPF Laboratory begin using its routine peroxide fusion dissolution method for the measurement of thorium in SME samples of SB6. The purpose of this technical report is to present the measurements generated by the DWPF Laboratory for the SB6 VS glasses and to compare the measurements to the targeted compositions for these VS glasses as well as to SRNL's measurements (both sets, targeted and measured, of compositional values were reported by SRNL in [2]). The goal of these comparisons is to provide information that will lead to the qualification of peroxide fusion dissolution as a method for the measurement by the DWPF Laboratory of thorium in SME glass samples.

Edwards, T.; Click, D.; Feller, M.

2011-02-28T23:59:59.000Z

411

Emissions from burning tire-derived fuel (TDF): Comparison of batch combustion of tire chips and continuous combustion of tire crumb mixed with coal  

SciTech Connect (OSTI)

This laboratory study investigated the emissions of waste automobile tire-derived fuel (TDF). This fuel was burned in two different modes, either segmented in small pieces (tire chunks) or in pulverized form (tire crumb). Tire chunks were burned in fixed beds in batch mode in a horizontal furnace. Tire crumb was burned in a continous flow mode, dispersed in air, either alone or mixed with pulverized coal, in a verical furnace. The gas flow was laminar, the gas temperature was 1000{degrees}C in all cases, and the residence times of the combustion products in the furnaces were similar. Chunks of waste tires had dimensions in the range of 3-9 {mu}m, tire crumb was size-classified to be 180-212 {mu}m and the high volatile bituminous coal, used herein, was 63-75. The fuel mass loading in the furnaces was varied. The following emissions were monitored at the exit of the furnaces: CO, CO{sub 2}, NO{sub x} polynuclear aromatic hydrocarbon (PAH) and particulates. Results showed that combustion of TDF in fixed beds resulted in large yields (emissions per mass of fuel burned) of CO, soot and PAHs. Such yields increased with the size of the bed. CO, soot and PAHs yields from batch combustion of fixed beds of coal were lower by more than an order of magnitude than those from fixed beds of TDF. Continuous pulverized fuel combustion of TDF (tire crumb) resulted in dramatically lower yields of CO, soot and PAHs than those from batch combustion, especially when TDF was mixed with pulverized coal. To the contrary, switching the mode of combustion of coal (from fixed beds to pulverized fuel) did not result in large differences in the aforementioned emissions. CO{sub 2}, and, especially, NO{sub x} yields from batch combustion of TDF were lower than those from coal. Emissions of NO{sub x} were somewhat lower from batch combustion than from pulverized fuel combustion of TDF and coal.

Levendis, Y.A.; Atal, A. [Northeastern Univ., Boston, MA (United States); Carlson, J.B. [Army Natick R, Natick, MA (United States)

1998-04-01T23:59:59.000Z

412

Hopper Batch Jobs  

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

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

413

Batch Strategies for Maximizing  

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 Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High the cover: InvisibleBaskettBassi IBMu s

414

Batch Strategies for Maximizing  

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 Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High the cover: InvisibleBaskettBassi IBMu

415

Edison Batch Jobs  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for the Future of DOEEarthAlamos NationalEd

416

PDSF Batch Statistics  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratorySpeedingOptimizing I/OP-Glycoprotein Structure

417

Parallel Batch Scripts  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratorySpeedingOptimizingToolsto control intensePageveterans4 -

418

Click4BuildingID@NTU: Click for Building Identification with GPS-enabled Camera Cell Phone.  

E-Print Network [OSTI]

Click4BuildingID@NTU: Click for Building Identification with GPS- enabled Camera Cell Phone. Chai, School of Computer Engineering Nanyang Technological University, Singapore 639798 {asckyeo,asltchia,astjcham,asdrajan}@ntu meters or less [3] to improve the effectiveness and reliability of the 911 emergency call services

Chia, Liang-Tien

419

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 9159  

E-Print Network [OSTI]

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 9159 Non-residual fractions Cu isotopes For centuries, many Mediterranean catchments were covered extraction (SCE) procedure, used to determine Cu partitioning between residual and non-residual fractions

Paris-Sud XI, Université de

420

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 6770  

E-Print Network [OSTI]

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 6770, the residual velocity and thus the loss of kinetic energy of the projec- tile. After impact, the residual and residual deformation and without perforation. Targets are mostly AA5086-H111 aluminum thin plates (from 2

Mailhes, Corinne

Note: This page contains sample records for the topic "aq batch id" 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

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 10712  

E-Print Network [OSTI]

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 10712 of manu- facturers is precisely to know the residual strength of structures. In recent years, studies on CAI have largely focused on model- ling the residual strength with analytical [2,3], semi-empirical [4

Mailhes, Corinne

422

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 10900  

E-Print Network [OSTI]

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 10900 measurements - Measurements of the residual penetration and the damaged area - Develop reliable methods² Impact test setting on #12;Study of impacted compositesC. GARNIER and al.6 /16 Residual penetration

Mailhes, Corinne

423

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 9159  

E-Print Network [OSTI]

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 9159 runoff Soils River sediments Suspended matter Non-residual fractions Cu isotopes For centuries, many between residual and non-residual fractions, with 65 Cu isotopic measurements in each fraction

Mailhes, Corinne

424

Abstract ID: WED-AM-B3 Use of ion beam analysis techniques to characterise iron corrosion  

E-Print Network [OSTI]

Abstract ID: WED-AM-B3 Use of ion beam analysis techniques to characterise iron corrosion under 12 MeV proton irradiation on the corrosion behaviour of pure iron. Oxygen and hydrogen playing a crucial role during the corrosion process have been specifically investigated. Heavy desaerated water

Paris-Sud XI, Université de

425

Proceedings of the 2008 International Conference on Electrical Machines Paper ID 1436 Comparative Analysis of Estimation Techniques  

E-Print Network [OSTI]

is a prevailing design of electric drive for EVs. Drives Efficiency is crucial to saving energy and offering moreProceedings of the 2008 International Conference on Electrical Machines Paper ID 1436 Comparative Analysis of Estimation Techniques of SFOC Induction Motor for Electric Vehicles A. Haddoun1,2 , M

Paris-Sud XI, Université de

426

http://resolver.caltech.edu/CaltechOH:OH_Gell-Mann_M Photo ID RFB70.2-4  

E-Print Network [OSTI]

http://resolver.caltech.edu/CaltechOH:OH_Gell-Mann_M Photo ID RFB70.2-4 MURRAY GELL-MANN (b. 1929, with Murray Gell-Mann, Robert Andrews Millikan Professor of Theoretical Physics, emeritus. Dr. Gell Wasserburg; works on dispersion relations and pseudoscalar meson theory #12;http://resolver.caltech.edu/CaltechOH:OH_Gell

Dervan, Peter B.

427

Max Planck Institute for Biological Cybernetics, Tbingen, Germany VSS 2002, #18.3 ID501 Spatial updating in virtual environments  

E-Print Network [OSTI]

Max Planck Institute for Biological Cybernetics, Tübingen, Germany VSS 2002, #18.3 ID501 Spatial: What are vestibular cues good for? MPI for Biological Cybernetics, Germany 2 "Voluntary" vs Cybernetics, Germany 3 Methods - Setup · Vestibular stimuli: 6 dof Motion Platform · Visual stimuli: LCD video

428

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

E-Print Network [OSTI]

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

Zadok, Erez

429

Policy #1070 Changes to Names, Addresses, and ID Numbers (Employees, Students and Vendors) 1 OLD DOMINION UNIVERSITY  

E-Print Network [OSTI]

Policy #1070 ­ Changes to Names, Addresses, and ID Numbers (Employees, Students and Vendors) 1 OLD, STUDENTS, AND VENDORS) Responsible Oversight Executive: Vice President for Human Resources Date of Current to process informational records of employees, vendors, and students of Old Dominion University. B

430

Name: ID Praxis Core / / PROGRAM OF STUDY FOR ELEMENTARY EDUCATION (K8) Catalog Year: 2014-2016  

E-Print Network [OSTI]

: http://nvteachers.doe.nv.gov/ #12;Education Core Requirements (12cr.) ­ 2.75 GPA PREREQ CR DATE GRADEName: ID Praxis Core / / PROGRAM OF STUDY FOR ELEMENTARY EDUCATION (K­8) Catalog Year: 2014 Education Core Requirements First Year and Second Year Experience (5cr.) CR DATE GRADE COE 102 or any FYE

Hemmers, Oliver

431

Response to IRSP. Project ID 35027: Evaluation of Two Captive Rearing Methods for Assisting with Recovery of Naturally Spawning  

E-Print Network [OSTI]

general procedures cited by Paul Moran and Robin Waples (P.I's.) under Project No. 198909600. The USFWSResponse to IRSP. Project ID 35027: Evaluation of Two Captive Rearing Methods for Assisting. We will store the fin clips at room temperature prior to DNA extraction. Procedures for DNA

432

Advances in Geosciences, 7, 275278, 2006 SRef-ID: 1680-7359/adgeo/2006-7-275  

E-Print Network [OSTI]

offshore wind atlas generated mainly from global reanalysis and satellite data. Whereas satellite dataAdvances in Geosciences, 7, 275­278, 2006 SRef-ID: 1680-7359/adgeo/2006-7-275 European Geosciences Mediterranean offshore extreme wind analysis from the 44-year HIPOCAS database: different approaches towards

Boyer, Edmond

433

Advances in Geosciences, 2, 255257, 2005 SRef-ID: 1680-7359/adgeo/2005-2-255  

E-Print Network [OSTI]

The wind and wave atlas of the Mediterranean Sea ­ the calibration phase L. Cavaleri Institutte of Marine by the Italian, French and Greek Navies, an extensive atlas of the wind and wave conditions in the MediterraneanAdvances in Geosciences, 2, 255­257, 2005 SRef-ID: 1680-7359/adgeo/2005-2-255 European Geosciences

Paris-Sud XI, Université de

434

Advances in Geosciences, 7, 327331, 2006 SRef-ID: 1680-7359/adgeo/2006-7-327  

E-Print Network [OSTI]

Advances in Geosciences, 7, 327­331, 2006 SRef-ID: 1680-7359/adgeo/2006-7-327 European Geosciences Cyclogenesis in the lee of the Atlas Mountains: a factor separation numerical study K. Horvath1, L. Fita2, R of Atlas Mountains is in- vestigated by a series of numerical experiments using the MM5 forecast model

Romero, Romu

435

B ildi B id f B di tBuilding Bridges from Breeding to Biometry and Biostatisticsy  

E-Print Network [OSTI]

B ildi B id f B di tBuilding Bridges from Breeding to Biometry and Biostatisticsy Brian S Yandell www.stat.wisc.edu/~yandellwww.stat.wisc.edu/ yandell Real knowledge is to know the extent of one--- Monsanto: Yandell © 2012 2 #12;outlineoutline 1. What are stat training options?1. What are stat training

Yandell, Brian S.

436

ABSTRACT FINAL ID: SH51A-1991 TITLE: Three-Dimensional Numerical Simulations of Interaction Between Flux Ropes in the  

E-Print Network [OSTI]

ABSTRACT FINAL ID: SH51A-1991 TITLE: Three-Dimensional Numerical Simulations of Interaction Between, United States. Title of Team: ABSTRACT BODY: We have recently identified in three-dimensional (3D implications in the generation of Alfven waves and MHD turbulence. This work is supported by a NASA grant NNX08

Ng, Chung-Sang

437

This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 4066  

E-Print Network [OSTI]

damage and permanent indentation on laminate composite plate. In: ECCM14 - 14TH European Conference ON COMPOSITE MATERIALS 7-10 June 2010, Budapest, Hungary Paper ID: 672-ECCM14 1 MODELLING OF IMPACT DAMAGE damage and permanent indentation modelling. A model enabling the formation of damages developing during

Mailhes, Corinne

438

Yucca Mountain Project Integrated Data System (IDS); Final report, October 1, 1989--December 31, 1990  

SciTech Connect (OSTI)

This final report for LANL Subcontract 9-XS8-2604-1 includes copies of all formal letters, memorandums, and reports provided by CAG to support the IDS effort in the LANL Test Managers Office, Las Vegas, Nevada from October 1, 1989 through the end of the contract on December 31, 1990. The material is divided into two sections; the Functional Requirements Document (FRD) and other reports, letters, and memorandums. All documents are arranged in chronological order with most recent last. Numerous draft copies of the FRD were prepared and cover sheets for all drafts are included. The complete text of only the last version supplied (July 27, 1990) is included in this document.

NONE

1991-05-23T23:59:59.000Z

439

North Portal Fuel Storage System Fire Hazard Analysis-ESF Surface Design Package ID  

SciTech Connect (OSTI)

The purpose of the fire hazard analysis is to comprehensively assess the risk from fire within the individual fire areas. This document will only assess the fire hazard analysis within the Exploratory Studies Facility (ESF) Design Package ID, which includes the fuel storage system area of the North Portal facility, and evaluate whether the following objectives are met: 1.1.1--This analysis, performed in accordance with the requirements of this document, will satisfy the requirements for a fire hazard analysis in accordance with U.S. Department of Energy (DOE) Order 5480.7A. 1.1.2--Ensure that property damage from fire and related perils does not exceed an acceptable level. 1.1.3--Provide input to the ESF Basis For Design (BFD) Document. 1.1.4 Provide input to the facility Safety Analysis Report (SAR) (Paragraph 3.8).

N.M. Ruonavaara

1995-01-18T23:59:59.000Z

440

A 12-MW-scale pilot study of in-duct scrubbing (IDS) using a rotary atomizer  

SciTech Connect (OSTI)

A low-cost, moderate-removal efficiency, flue gas desulfurization (FGD) technology was selected by the US Department of Energy for pilot demonstration in its Acid Rain Precursor Control Technology Initiative. The process, identified as In-Duct Scrubbing (IDS), applies rotary atomizer techniques developed for lime-based spray dryer FGD while utilizing existing flue gas ductwork and particulate collectors. IDS technology is anticipated to result in a dry desulfurization process with a moderate removal efficiency (50% or greater) for high-sulfur coal-fired boilers. The critical elements for successful application are: (1) adequate mixing of sorbent droplets with flue gas for efficient reaction contact, (2) sufficient residence time to produce a non-wetting product, and (3) appropriate ductwork cross-sectional area to prevent deposition of wet reaction products before particle drying is comple. The ductwork in many older plants, previously modified to meet 1970 Clean Air Act requirements for particulate control, usually meet these criteria. A 12 MW-scale IDS pilot plant was constructed at the Muskingum River Plant of the American Electric Power System. The pilot plant, which operates from a slipstrem attached to the air-preheater outlet duct from the Unit 5 boiler at the Muskingum River Plant (which burns about 4% sulfur coal), is equipped with three atomizer stations to test the IDS concept in vertical and horizontal configurations. In addition, the pilot plant is equipped to test the effect of injecting IDS off- product upstream of the atomizer, on SO{sub 2}and NO{sub x} removals.

Samuel, E.A.; Murphy, K.R.; Demian, A.

1989-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "aq batch id" 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

Summary Report For The Analysis Of The Sludge Batch 7b (Macrobatch 9) DWPF Pour Stream Glass Sample For Canister S04023  

SciTech Connect (OSTI)

In order to comply with the Defense Waste Processing Facility (DWPF) Waste Form Compliance Plan for Sluldge Batch 7b, Savannah River National Laboratory (SRNL) personnel characterized the Defense Waste Processing Facility (DWPF) pour stream (PS) glass sample collected while filling canister S04023. This report summarizes the results of the compositional analysis for reportable oxides and radionuclides and the normalized Product Consistency Test (PCT) results. The PCT responses indicate that the DWPF produced glass that is significantly more durable than the Environmental Assessment glass.

Johnson, F. C.

2013-11-18T23:59:59.000Z

442

6/10/12 Researchers Develop New Method to Measure Bubble Size Distribution in Pipelines 1/2www.azomining.com/news.aspx?newsID=6367  

E-Print Network [OSTI]

.azomining.com/news.aspx?newsID=6367 0 Posted in | Natural Gas | Oil Shale Read in | English | Español | Français | Deutsch | Português

Sóbester, András

443

Analytical Biochemistry 267,125-134 (1999) Article ID abio.1998.3003, available online at http&ww.idealibrary.com on  

E-Print Network [OSTI]

Analytical Biochemistry 267,125-134 (1999) Article ID abio.1998.3003, available online at http; FAB, fast atom bombardment; MALDI, matrix-assisted laser desorption ionization; ESI, electros- pray

Vertes, Akos

444

Enter Search Term Enter Drill Deeper or ED Online ID Home Subscribe Back Issues Design FAQs Ideas for Design Power Analog  

E-Print Network [OSTI]

Enter Search Term Enter Drill Deeper or ED Online ID Home Subscribe Back Issues Design FAQs Ideas Subscribe to Electronic Design UPDATE (Archive) Email: Enter Email Click to view this week's welcome screen

Rogers, John A.

445

6/11/13 Print Article: Diploma done, mom's next dream: Doctor www.ocregister.com/common/printer/view.php?db=ocregister&id=512074 1/3  

E-Print Network [OSTI]

6/11/13 Print Article: Diploma done, mom's next dream: Doctor www.ocregister.com/common/printer/view.php: Diploma done, mom's next dream: Doctor www.ocregister.com/common/printer/view.php?db=ocregister&id=512074

Barrett, Jeffrey A.

446

T-582: RSA systems has resulted in certain information being extracted from RSA systems that relates to RSA SecurID  

Broader source: Energy.gov [DOE]

RSA investigation has revealed that the attack resulted in certain information being extracted from RSA's systems. Some of that information is related to RSA's SecurID two-factor authentication products.

447

Development Of A Macro-Batch Qualification Strategy For The Hanford Tank Waste Treatment And Immobilization Plant  

SciTech Connect (OSTI)

The Savannah River National Laboratory (SRNL) has evaluated the existing waste feed qualification strategy for the Hanford Tank Waste Treatment and Immobilization Plant (WTP) based on experience from the Savannah River Site (SRS) Defense Waste Processing Facility (DWPF) waste qualification program. The current waste qualification programs for each of the sites are discussed in the report to provide a baseline for comparison. Recommendations on strategies are then provided that could be implemented at Hanford based on the successful Macrobatch qualification strategy utilized at SRS to reduce the risk of processing upsets or the production of a staged waste campaign that does not meet the processing requirements of the WTP. Considerations included the baseline WTP process, as well as options involving Direct High Level Waste (HLW) and Low Activity Waste (LAW) processing, and the potential use of a Tank Waste Characterization and Staging Facility (TWCSF). The main objectives of the Hanford waste feed qualification program are to demonstrate compliance with the Waste Acceptance Criteria (WAC), determine waste processability, and demonstrate unit operations at a laboratory scale. Risks to acceptability and successful implementation of this program, as compared to the DWPF Macro-Batch qualification strategy, include: Limitations of mixing/blending capability of the Hanford Tank Farm; The complexity of unit operations (i.e., multiple chemical and mechanical separations processes) involved in the WTP pretreatment qualification process; The need to account for effects of blending of LAW and HLW streams, as well as a recycle stream, within the PT unit operations; and The reliance on only a single set of unit operations demonstrations with the radioactive qualification sample. This later limitation is further complicated because of the 180-day completion requirement for all of the necessary waste feed qualification steps. The primary recommendations/changes include the following: Collection and characterization of samples for relevant process analytes from the tanks to be blended during the staging process; Initiation of qualification activities earlier in the staging process to optimize the campaign composition through evaluation from both a processing and glass composition perspective; Definition of the parameters that are important for processing in the WTP facilities (unit operations) across the anticipated range of wastes and as they relate to qualification-scale equipment; Performance of limited testing with simulants ahead of the waste feed qualification sample demonstration as needed to determine the available processing window for that campaign; and Demonstration of sufficient mixing in the staging tank to show that the waste qualification sample chemical and physical properties are representative of the transfers to be made to WTP. Potential flowcharts for derivatives of the Hanford waste feed qualification process are also provided in this report. While these recommendations are an extension of the existing WTP waste qualification program, they are more in line with the processes currently performed for SRS. The implementation of these processes at SRS has been shown to offer flexibility for processing, having identified potential processing issues ahead of the qualification or facility processing, and having provided opportunity to optimize waste loading and throughput in the DWPF.

Herman, Connie C.

2013-09-30T23:59:59.000Z

448

Catalytic hydrolysis of urea with fly ash for generation of ammonia in a batch reactor for flue gas conditioning and NOx reduction  

SciTech Connect (OSTI)

Ammonia is a highly volatile noxious material with adverse physiological effects, which become intolerable even at very low concentrations and present substantial environmental and operating hazards and risk. Yet ammonia has long been known to be used for feedstock of flue gas conditioning and NOx reduction. Urea as the source of ammonia for the production of ammonia has the obvious advantages that no ammonia shipping, handling, and storage is required. The process of this invention minimizes the risks and hazards associated with the transport, storage, and use of anhydrous and aqueous ammonia. Yet no such rapid urea conversion process is available as per requirement of high conversion in shorter time, so here we study the catalytic hydrolysis of urea for fast conversion in a batch reactor. The catalyst used in this study is fly ash, a waste material originating in great amounts in combustion processes. A number of experiments were carried out in a batch reactor at different catalytic doses, temperatures, times, and at a constant concentration of urea solution 10% by weight, and equilibrium and kinetic studies have been made.

Sahu, J.N.; Gangadharan, P.; Patwardhan, A.V.; Meikap, B.C. [Indian Institute of Technology, Kharagpur (India). Dept. of Chemical Engineering

2009-01-15T23:59:59.000Z

449

ELIMINATION OF THE CHARACTERIZATION OF DWPF POUR STREAM SAMPLE AND THE GLASS FABRICATION AND TESTING OF THE DWPF SLUDGE BATCH QUALIFICATION SAMPLE  

SciTech Connect (OSTI)

A recommendation to eliminate all characterization of pour stream glass samples and the glass fabrication and Product Consistency Test (PCT) of the sludge batch qualification sample was made by a Six-Sigma team chartered to eliminate non-value-added activities for the Defense Waste Processing Facility (DWPF) sludge batch qualification program and is documented in the report SS-PIP-2006-00030. That recommendation was supported through a technical data review by the Savannah River National Laboratory (SRNL) and is documented in the memorandums SRNL-PSE-2007-00079 and SRNL-PSE-2007-00080. At the time of writing those memorandums, the DWPF was processing sludge-only waste but, has since transitioned to a coupled operation (sludge and salt). The SRNL was recently tasked to perform a similar data review relevant to coupled operations and re-evaluate the previous recommendations. This report evaluates the validity of eliminating the characterization of pour stream glass samples and the glass fabrication and Product Consistency Test (PCT) of the sludge batch qualification samples based on sludge-only and coupled operations. The pour stream sample has confirmed the DWPF's ability to produce an acceptable waste form from Slurry Mix Evaporator (SME) blending and product composition/durability predictions for the previous sixteen years but, ultimately the pour stream analysis has added minimal value to the DWPF's waste qualification strategy. Similarly, the information gained from the glass fabrication and PCT of the sludge batch qualification sample was determined to add minimal value to the waste qualification strategy since that sample is routinely not representative of the waste composition ultimately processed at the DWPF due to blending and salt processing considerations. Moreover, the qualification process has repeatedly confirmed minimal differences in glass behavior from actual radioactive waste to glasses fabricated from simulants or batch chemicals. In contrast, the variability study has significantly added value to the DWPF's qualification strategy. The variability study has evolved to become the primary aspect of the DWPF's compliance strategy as it has been shown to be versatile and capable of adapting to the DWPF's various and diverse waste streams and blending strategies. The variability study, which aims to ensure durability requirements and the PCT and chemical composition correlations are valid for the compositional region to be processed at the DWPF, must continue to be performed. Due to the importance of the variability study and its place in the DWPF's qualification strategy, it will also be discussed in this report. An analysis of historical data and Production Records indicated that the recommendation of the Six Sigma team to eliminate all characterization of pour stream glass samples and the glass fabrication and PCT performed with the qualification glass does not compromise the DWPF's current compliance plan. Furthermore, the DWPF should continue to produce an acceptable waste form following the remaining elements of the Glass Product Control Program; regardless of a sludge-only or coupled operations strategy. If the DWPF does decide to eliminate the characterization of pour stream samples, pour stream samples should continue to be collected for archival reasons, which would allow testing to be performed should any issues arise or new repository test methods be developed.

Amoroso, J.; Peeler, D.; Edwards, T.

2012-05-11T23:59:59.000Z

450

The AQ18 Machine Learning and Data Mining System  

E-Print Network [OSTI]

examples. Acknowledgments The authors express their deep gratitude to all the researchers who were involved in the development and implementation of various components or features of STAR, in particular, Eric Bloedorn, Mark of Naval Research under Grant No. N00014-91-J-1351, in part by the Defense Advanced Research Projects

Michalski, Ryszard S.

451

ILENR/RE-AQ-90/05 February 1990  

E-Print Network [OSTI]

: Illinois Department of Energy and Natural Resources Office of Research and Planning 325 W. Adams, Room 300 Department of Energy and Natural Resources #12;NOTE This report has been reviewed by the Illinois Department-IP - Purple Illinois Department of Energy and Natural Resources Office of Research and Planning 325 W. Adams

Denver, University of

452

ILENR/RE-AQ-ON-ROAD CARBON MONOXIDE AND HYDROCARBON  

E-Print Network [OSTI]

. McVey, and Stuart P. Beaton Prepared for: Illinois Department of Energy and Natural Resources Office A. Witter Director State of Illinois Illinois Department of Energy and Natural Resources #12;NOTE This report has been reviewed by the Illinois Department of Energy and Natural Resources (ENR) and approved

Denver, University of

453

Califonia + Region 9 AQ managers' priorities Background ozone, also PM  

E-Print Network [OSTI]

Nov 2011 meeting (original) · Transboundary pollution involving Canada and Mexico: sources, transport Nov 2011 meeting (updated) · Transboundary pollution involving Canada and Mexico: sources, transport · Improving knowledge of emissions from oil and gas exploration/recovery · Transboundary pollution transport

Jacob, Daniel J.

454

EERE Program Management Guide - Appendices A-Q  

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:Year in Review: TopEnergy DOEDealingVehicle1 ClosingAInnovations in FuelJuly

455

Aq Dryers Agricultural Drying Low Temperature Geothermal Facility | Open  

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: 160 East 300AlgoilEnergy Information the ArmyInformationFocus Technology

456

Monitoring Uranium Transformations Determined by the Evolution of Biogeochemical Processes: Design of Mixed Batch Reactor and Column Studies at Oak Ridge National Laboratory  

SciTech Connect (OSTI)

With funds provided by the US DOE, Argonne National Laboratory subcontracted the design of batch and column studies to a Stanford University team with field experience at the ORNL IFRC, Oak Ridge, TN. The contribution of the Stanford group ended in 2011 due to budget reduction in ANL. Over the funded research period, the Stanford research team characterized ORNL IFRC groundwater and sediments and set up microcosm reactors and columns at ANL to ensure that experiments were relevant to field conditions at Oak Ridge. The results of microcosm testing demonstrated that U(VI) in sediments was reduced to U(IV) with the addition of ethanol. The reduced products were not uraninite but were instead U(IV) complexes associated with Fe. Fe(III) in solid phase was only partially reduced. The Stanford team communicated with the ANL team members through email and conference calls and face to face at the annual ERSP PI meeting and national meetings.

Criddle, Craig S.; Wu, Weimin

2013-04-17T23:59:59.000Z

457

Using conversions of chemically reacting tracers for numerical determination of temperature profiles in flowing systems and temperature histories in batch systems  

SciTech Connect (OSTI)

This report presents the mathematical bases for measuring internal temperatures within batch and flowing systems using chemically reacting tracers. This approach can obtain temperature profiles of plug-flow systems and temperature histories within batch systems. The differential equations for reactant conversion can be converted into Fredholm integral equations of the first kind. The experimental variable is the tracer-reaction activation energy. When more than one tracer is used, the reactions must have different activation energies to gain information. In systems with temperature extrema, multiple solutions for the temperature profiles or histories can exist, When a single parameter in the temperature distribution is needed, a single-tracer test may furnish this information. For multi-reaction tracer tests, three Fredholm equations are developed. Effects of tracer-reaction activation energy, number of tracers used, and error in the data are evaluated. The methods can determine temperature histories and profiles for many existing systems, and can be a basis for analysis of the more complicated dispersed-flow systems. An alternative to using the Fredholm-equation approach is the use of an assumed temperature- distribution function and incorporation of this function into the basic integral equation describing tracer behavior. The function contains adjustable parameters which are optimized to give the temperature distribution. The iterative Fredholm equation method is tested to see what is required to discriminate between two models of the temperature behavior of Hot Dry Rock (HDR) geothermal reservoirs. Experimentally, ester and amide hydrolyses are valid HDR tracer reactions for measuring temperatures in the range 75-100{degrees}C. Hydrolyses of bromobenzene derivatives are valid HDR tracer reactions for measuring temperatures in the range 150-275{degrees}C.

Brown, L.F.; Chemburkar, R.M.; Robinson, B.A.; Travis, B.J.

1996-04-01T23:59:59.000Z

458

Laboratory Results Area Lab ID Th-230 Ra-226 Pb-210 Po-210 U-238 ANSI Sum1  

E-Print Network [OSTI]

Laboratory Results Area Lab ID Th-230 Ra-226 Pb-210 Po-210 U-238 ANSI Sum1 Gamma Reading Area H Area I Confirmation 0405025-2 1.66 5.13 2.88 3.48 0.95 4.55 9741 Clear 11th Street 0405215-3 1.28 4.59 3.55 3.55 1.68 4.37 ++ Area K 0404284-2 14.8 43.4 17.4 13.8 10.6 80.8 15146 Estimated - lab

459

AMENDMENT OF SOLlClTATlONlMODlFlCATlON OF CONTRACT I ' CONTRACT ID CODE  

National Nuclear Security Administration (NNSA)

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460

Microsoft Word - 1DOE-ID-12-046 AREVA EC B3-6 B3-15.doc  

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

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Note: This page contains sample records for the topic "aq batch id" 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

Conference to Feature Student Research : UVM The View http://www.uvm.edu/theview/article.php?print=true&id=2680 1 of 2 5/29/2008 4:09 PM  

E-Print Network [OSTI]

Conference to Feature Student Research : UVM The View http://www.uvm.edu/theview/article.php Student Research By The View Staff URL: http://www.uvm.edu/theview/article.php?id=2680 It's fitting The View http://www.uvm.edu/theview/article.php?print=true&id=2680 2 of 2 5/29/2008 4:09 PM to make things

Neher, Deborah A.

462

http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336&topicname=Union_(Analysis) Union Computes a geometric intersection of the Input Features. All features will be written to the  

E-Print Network [OSTI]

http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336&topicname Toolbox ­Overlay Toolset ­ Union #12;http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336

Brownstone, Rob

463

DESTRUCTION OF TETRAPHENYLBORATE IN TANK 48H USING WET AIR OXIDATION BATCH BENCH SCALE AUTOCLAVE TESTING WITH ACTUAL RADIOACTIVE TANK 48H WASTE  

SciTech Connect (OSTI)

Wet Air Oxidation (WAO) is one of the two technologies being considered for the destruction of Tetraphenylborate (TPB) in Tank 48H. Batch bench-scale autoclave testing with radioactive (actual) Tank 48H waste is among the tests required in the WAO Technology Maturation Plan. The goal of the autoclave testing is to validate that the simulant being used for extensive WAO vendor testing adequately represents the Tank 48H waste. The test objective was to demonstrate comparable test results when running simulated waste and real waste under similar test conditions. Specifically: (1) Confirm the TPB destruction efficiency and rate (same reaction times) obtained from comparable simulant tests, (2) Determine the destruction efficiency of other organics including biphenyl, (3) Identify and quantify the reaction byproducts, and (4) Determine off-gas composition. Batch bench-scale stirred autoclave tests were conducted with simulated and actual Tank 48H wastes at SRNL. Experimental conditions were chosen based on continuous-flow pilot-scale simulant testing performed at Siemens Water Technologies Corporation (SWT) in Rothschild, Wisconsin. The following items were demonstrated as a result of this testing. (1) Tetraphenylborate was destroyed to below detection limits during the 1-hour reaction time at 280 C. Destruction efficiency of TPB was > 99.997%. (2) Other organics (TPB associated compounds), except biphenyl, were destroyed to below their respective detection limits. Biphenyl was partially destroyed in the process, mainly due to its propensity to reside in the vapor phase during the WAO reaction. Biphenyl is expected to be removed in the gas phase during the actual process, which is a continuous-flow system. (3) Reaction byproducts, remnants of MST, and the PUREX sludge, were characterized in this work. Radioactive species, such as Pu, Sr-90 and Cs-137 were quantified in the filtrate and slurry samples. Notably, Cs-137, boron and potassium were shown as soluble as a result of the WAO reaction. (4) Off-gas composition was measured in the resulting gas phase from the reaction. Benzene and hydrogen were formed during the reaction, but they were reasonably low in the off-gas at 0.096 and 0.0063 vol% respectively. Considering the consistency in replicating similar test results with simulated waste and Tank 48H waste under similar test conditions, the results confirm the validity of the simulant for other WAO test conditions.

Adu-Wusu, K; Paul Burket, P

2009-03-31T23:59:59.000Z

464

Accelerated Analyte Uptake on Single Beads in Microliter-scale Batch Separations using Acoustic Streaming: Plutonium Uptake by Anion Exchange for Analysis by Mass Spectrometry  

SciTech Connect (OSTI)

The use of acoustic streaming as a non-contact mixing platform to accelerate mass transport-limited diffusion processes in small volume heterogeneous reactions has been investigated. Single bead anion exchange of plutonium at nanomolar and sub-picomolar concentrations in 20 microliter liquid volumes was used to demonstrate the effect of acoustic mixing. Pu uptake rates on individual ~760 micrometer diameter AG 1x4 anion exchange resin beads were determined using acoustic mixing and compared with Pu uptake rates achieved by static diffusion alone. An 82 MHz surface acoustic wave (SAW) device was placed in contact with the underside of a 384-well microplate containing flat-bottomed semiconical wells. Acoustic energy was coupled into the solution in the well, inducing acoustic streaming. Pu uptake rates were determined by the plutonium remaining in solution after specific elapsed time intervals, using liquid scintillation counting (LSC) for nanomolar concentrations and thermal ionization mass spectrometry (TIMS) analysis for the sub-picomolar concentration experiments. It was found that this small batch uptake reaction could be accelerated by a factor of about five-fold or more, depending on the acoustic power applied.

Paxton, Walter F.; O'Hara, Matthew J.; Peper, Shane M.; Petersen, Steven L.; Grate, Jay W.

2008-06-01T23:59:59.000Z

465

1/12/11 1:51 PMComputer-Aided Brains: Scientific American Page 1 of 3http://www.scientificamerican.com/article.cfm?id=computer-aided-brains  

E-Print Network [OSTI]

Scientific American Mind October 2005 Head Lines | Mind & Brain Computer-Aided Brains By Brad Stenger1/12/11 1:51 PMComputer-Aided Brains: Scientific American Page 1 of 3http://www.scientificamerican.com/article.cfm?id=computer-aided-brains Image: For years, innovators have tried to devise computerized gadgetry to aid the brain. Advances have

Salvucci, Dario D.

466

Project ID: 35062 ~ Impacts of Flow Regulation on Riparian Cottonwood Ecosystems in the Columbia River Basin ~ Response to ISRP/RME Proposal Review Comments  

E-Print Network [OSTI]

, Synder et al. 2002). The shifting habitat mosaic is controlled by the coupled relationship between flowProject ID: 35062 ~ Impacts of Flow Regulation on Riparian Cottonwood Ecosystems in the Columbia. 1. The ISRP cited a need to "provide better evidence of the linkages of changes in flow regimes

467

Enter Search Term Enter ED Online ID Advanced Search | Help Electronic Design Home Recent Articles Back Issues Featured Vendors Discussion Forums Subscribe / Renew  

E-Print Network [OSTI]

Enter Search Term Enter ED Online ID Advanced Search | Help Electronic Design Home Recent Articles- analyzer vendors have kept pace with industry demands in terms of speed and functionality. However, in many tools. Logic- analyzer vendors have kept pace with industry demands in terms of speed and functionality

LaMeres, Brock J.

468

05/08/2008 11:34A-IBMN HIGHLIGHTS Page 1 of 2http://www.natureasia.com/A-IMBN/cms/preview.php?article_id=119  

E-Print Network [OSTI]

05/08/2008 11:34A-IBMN HIGHLIGHTS Page 1 of 2http://www.natureasia.com/A-IMBN/cms/preview.php;05/08/2008 11:34A-IBMN HIGHLIGHTS Page 2 of 2http://www.natureasia.com/A-IMBN/cms/preview.php?article_id=119 3

Gardner, Andy

469

Fetal Gene Mutations Linked with Schizophrenia http://www.biospace.com/news_story.aspx?StoryID=275054&full=1[11/12/2012 12:17:09 PM  

E-Print Network [OSTI]

Post Job | Search Resumes | Login HOME CAREER NETWORK NEWS HOTBEDS EVENT CENTER CAREER FAIRS COMPANY Bookmarks Tweet Enter email Job Title, Keyword or Company Name City, State, or Postal Code Search News://www.biospace.com/news_story.aspx?StoryID=275054&full=1[11/12/2012 12:17:09 PM] eNewsletter Signup Keywords Location Browse Jobs Search Job Title

470

Climate Change Lecture (ID:180) This lecture will give an overview of climate changes that have occurred in the past and  

E-Print Network [OSTI]

Climate Change Lecture (ID:180) Outline This lecture will give an overview of climate changes to understand climate changes that have occurred in the past. This is a lecture based activity with opportunities to ask questions. Further details Students will learn: 1. Different time-scales of climate changes

Harman, Neal.A.

471

University of Pittsburgh Test Center Registration Form Exams are by appointment only. Test center hours vary. Please call 412-624-6134 to schedule. Valid ID must  

E-Print Network [OSTI]

University of Pittsburgh Test Center Registration Form Exams are by appointment only. Test center hours vary. Please call 412-624-6134 to schedule. Valid ID must be presented at the time of the exam. Mail completed form and Test Center fee to address below. Once payment is received you

Sibille, Etienne

472

Outline of a proposal responding to E.U. and U.S. calls for trustworthy globalscale IdM and CKM designs  

E-Print Network [OSTI]

on Cyber Security and Information Intelligence Research (April 21­23, 2010) c # ACM, 2010. 1. INTRODUCTION distribution nodes (aka key distri­ bution centers) [10] that was secure against a collusion of up to m­1@pqs.io ABSTRACT In 2007, the E.U. FP6 SecurIST called [31] for trustworthy international identity management (Id

473

Outline of a proposal responding to E.U. and U.S. calls for trustworthy global-scale IdM and CKM designs  

E-Print Network [OSTI]

on Cyber Security and Information Intelligence Research (April 21-23, 2010) c ACM, 2010. 1. INTRODUCTION distribution nodes (aka key distri- bution centers) [10] that was secure against a collusion of up to m-1@pqs.io ABSTRACT In 2007, the E.U. FP6 SecurIST called [31] for trustworthy international identity management (Id

474

7/29/13 About the PET Center of Excellence interactive.snm.org/index.cfm?PageID=9257 1/3  

E-Print Network [OSTI]

7/29/13 About the PET Center of Excellence interactive.snm.org/index.cfm?PageID=9257 1/3 Home Join Today! How to Join Member Benefits About the PET Center Presidents Message Board of Directors News/Pubs PET COE Newsletters PET References Archive Views You Can Use PET News Today MI: Making a Difference

Jadvar, Hossein

475

A"pTi:1e~:roD '(JNIVl!.ID;i'i'Y UEGlS'i'!lAR  

E-Print Network [OSTI]

A"pTi:1e~:roD '(JNIVl!.ID;i'i'Y UEGlS'i'!lAR COLLEGE OF NATURAL RESOURCES AND ENVIRONMENT Survey of Organic Chemistry 3 STAT 3615 Bioloqical Statistics 3 STAT 3616 Bioloqical Statistics 3 WOOD

Virginia Tech

476

ABSTRACT FINAL ID: SM13A-2029 TITLE: Particle-in-Cell Simulations of Two-dimensional Bernstein-Greene-Kruskal (BGK)  

E-Print Network [OSTI]

ABSTRACT FINAL ID: SM13A-2029 TITLE: Particle-in-Cell Simulations of Two-dimensional Bernstein, University of Alaska Fairbanks, Fairbanks, AK, United States. Title of Team: ABSTRACT BODY: Electrostatic with modulations having frequency of the order of electron cyclotron frequency. This work is supported

Ng, Chung-Sang

477

B.F.A. in Studio Art Graduation Certification Photography Area of Emphasis Student Name __________________________________ ID# -810______________________rev.2/13  

E-Print Network [OSTI]

time, max. 6 hrs. Student must select 12 hours (4 courses) of 3000 or 4000 level photo area electiveB.F.A. in Studio Art Graduation Certification Photography Area of Emphasis Student Name __________________________________ ID# - 810______________________rev.2/13 Area IV - (12 Hours) Fine Arts - 3 Recommended! hours

Arnold, Jonathan

478

Z .Journal of Environmental Economics and Management 37, 26 43 1999 Article ID jeem.1998.1056, available online at http:rrwww.idealibrary.com on  

E-Print Network [OSTI]

Z .Journal of Environmental Economics and Management 37, 26 43 1999 Article ID jeem.1998 empirical finding is the Z .significance of both land characteristics such as soil quality and vegetation density and Zfactors affecting transport costs such as distance to major markets and both own

Pfaff, Alex

479

Batch-to-batch model improvement for cooling crystallization  

E-Print Network [OSTI]

Massachusetts Avenue Cambridge MA 02139, USA c Albemarle Catalysts Company B.V., Nieuwendammerkade 1-3, 1030 consisting of a solute dissolved into a solvent is loaded at high temperature into a vessel called, the desired cooling profile is given as set-point to a feedback temperature control loop. However, even when

Van den Hof, Paul

480

Simultaneous Batching and Scheduling of Single Stage Batch Plants  

E-Print Network [OSTI]

, Tecnologia e Inovao, 1649-038 Lisboa, Portugal Department of Chemical Engineering, Carnegie Mellon

Grossmann, Ignacio E.

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


481

Using the PDSF Batch System  

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

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

482

Supporting Multiple Workloads, Batch Systems,  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security AdministrationcontrollerNanocrystalline Gallium OxideSuminDepositionSupplierSupporting Multiple

483

Submitting Batch Jobs on Carver  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAbout »Lab (Newport NewsStyle GuideResearchTodd

484

Submitting Batch Jobs on Franklin  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAbout »Lab (Newport NewsStyle GuideResearchToddSubmitting

485

Theor Appl Genel (19961 'J2: 532-540 iD Spri ngt'r Verlag 1006 D. M. Spooner' J. Tivang . J. Nienhuis J. T. Miller  

E-Print Network [OSTI]

evaluated chl()ropla~t DNA (cpONA). j~o zymes. si ngle to low-copy nuclcu Ol\\ ,\\., (RFLPs). and fan dom by G, E. H;II,t D, rvl. Spouner (8 I ' J, T, iVl iller Vegclabk Crops Research Unit. USDA, Agric)' o he 'illlt,lhlc Introduction SOIUIIIIII1 L. section Eluhcrosulli (JUl.) A, Chi Id I~ COIl] pri ,ed

Douches, David S.

486

Hydrocarbon-oil encapsulated bubble flotation of fine coal using 3-in. ID flotation column. Technical progress report for the eleventh quarter, April 1--June 30, 1993  

SciTech Connect (OSTI)

There are four modes of the collector dispersion techniques. They are (1) direct liquid additions and stirring, (2) ultrasonic energy collector dispersion, (3) atomized collector dispersion, and (4) gasified collector transported in air stream. Among those collector dispersion techniques, the technique using the gasified collector transported in air phase can be used to enhance the flotation performance with substantial reduction in collector usage and selectivity, compared to the flotation using direct liquid addition (and mechanical agitation) technique. In this phase of study, two modes of collector addition techniques including gasified collector transported in gas phase and direct collector addition techniques were applied in the column flotation to demonstrate the selectivity of utilizing the hydrocarbon-oil encapsulated air bubbles in the fine coal flotation process. The 1-in. ID flotation column was used to scale-up to 3-in. ID flotation column. The initial starting point to operate the 3-in ID flotation column were determined using both 1-in. and 3-in. flotation columns based on the three phases of work plans and experiment design. A 3-in. flotation column was used to evaluate two modes of collector dispersion and addition techniques on the recovery and grade of fine coals using various ranks of coal.

Peng, F.F.

1996-05-01T23:59:59.000Z

487

SU-E-I-02: A Framework to Perform Batch Simulations of Computational Voxel Phantoms to Study Organ Doses in Computed Tomography Using a Commercial Monte Carlo Software Package  

SciTech Connect (OSTI)

Purpose: ImpactMC (CT Imaging, Erlangen, Germany) is a Monte Carlo (MC) software package that offers a GPU enabled, user definable and validated method for 3D dose distribution calculations for radiography and Computed Tomography (CT). ImpactMC, in and of itself, offers limited capabilities to perform batch simulations. The aim of this work was to develop a framework for the batch simulation of absorbed organ dose distributions from CT scans of computational voxel phantoms. Methods: The ICRP 110 adult Reference Male and Reference Female computational voxel phantoms were formatted into compatible input volumes for MC simulations. A Matlab (The MathWorks Inc., Natick, MA) script was written to loop through a user defined set of simulation parameters and 1) generate input files required for the simulation, 2) start the MC simulation, 3) segment the absorbed dose for organs in the simulated dose volume and 4) transfer the organ doses to a database. A demonstration of the framework is made where the glandular breast dose to the adult Reference Female phantom, for a typical Chest CT examination, is investigated. Results: A batch of 48 contiguous simulations was performed with variations in the total collimation and spiral pitch. The demonstration of the framework showed that the glandular dose to the right and left breast will vary depending on the start angle of rotation, total collimation and spiral pitch. Conclusion: The developed framework provides a robust and efficient approach to performing a large number of user defined MC simulations with computational voxel phantoms in CT (minimal user interaction). The resulting organ doses from each simulation can be accessed through a database which greatly increases the ease of analyzing the resulting organ doses. The framework developed in this work provides a valuable resource when investigating different dose optimization strategies in CT.

Bujila, R; Nowik, P; Poludniowski, G [Karolinska University Hospital, Stockholm, Stockholm (Sweden)

2014-06-01T23:59:59.000Z

488

DOE/ID-Number  

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

models of glass waste form and metallic waste form degradation and the major corrosion products expected from these processes (e.g., gel and secondary phases such as clays...

489

Student:______________________________ Advisor:_____________________________ ID #:________________________________  

E-Print Network [OSTI]

Project (1 Credit) Matriculation Date: September 2014 #12;BSCPE - Notes (a) Natural Sciences: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must be courses 104, EE 108, BME 141, BIO 132, PHY 153 (e) Use iSIS ­ Must be EE courses with attribute value: So

Dennett, Daniel

490

Student:______________________________ Advisor:_____________________________ ID #:________________________________  

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Sciences: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must and 162, ES 56, EE 104, EE 108, BME 141, BIO 132, PHY 153 (e) Use iSIS ­ Must be EE courses with attribute value: SoE-Engineering (f) EM 51, (a), (b), or use iSIS ­ Must be courses with attribute value: So

Dennett, Daniel

491

Student:______________________________ Advisor:_____________________________ ID #:________________________________  

E-Print Network [OSTI]

Science: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must) MATH 161 and 162, ES 56, EE 104, EE 108, BME 141, BIO 132, PHY 153 (e) Use iSIS ­ Must be EE courses with attribute value: SoE-Engineering (f) EM 51, (a), (b), or use iSIS- Must be courses with attribute value: So

Dennett, Daniel

492

Student:______________________________ Advisor:_____________________________ ID #:________________________________  

E-Print Network [OSTI]

: September 2014 #12;BSEE - Notes (a) Natural Science: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must be courses with attribute value: SoE-Mathematics (c) ES 5, ES 7, PHY 153 (e) Use iSIS ­ Must be EE courses with attribute value: SoE-Engineering (f) EM 51, (a), (b

Dennett, Daniel

493

Student:_________________________________ Advisor:_____________________________ ID #:___________________________________  

E-Print Network [OSTI]

­ Notes (a) Natural Science: Use iSIS ­ Must be courses with attribute value: SoE ­ Nat Sci (b) Mathematics: Use iSIS ­ Must be courses with attribute value: SoE - Mathematics (c) Foundation Elective: Use iSIS-req of BIO 13, CHEM 1, EOS 1, or PHY 11 Or, EM course (d) Use iSIS ­ Must be ME course, except ME 94, 96, 193

Dennett, Daniel

494

Student:______________________________ Advisor:_____________________________ ID #:________________________________  

E-Print Network [OSTI]

:__________________ * No Pass/Fail Program Electives (6 Credits) (e) #12;BSE - Notes (a) Natural Science: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must be courses with attribute value 55, ES 56, CEE 187 (d) Use iSIS - Must be CEE courses with attribute value: SoE-Engineering (e) Use iSIS

Dennett, Daniel

495

Student:_________________________________ Advisor:_____________________________ ID #:___________________________________  

E-Print Network [OSTI]

(a) Natural Science: Use iSIS ­ Must be courses with attribute value: SoE-Nat Sci (b) Mathematics: Use iSIS ­ Must be courses with attribute value: SoE-Mathematics (c) Foundation Elective: Use iSIS-req of BIO 13, CHEM 1, EOS 1, or PHY 11 Or, Any EM course (d) Use iSIS - Must be ME course, except ME 94, 96

Dennett, Daniel

496

DOE/ID-Number  

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

a design that is tolerant to uncertainties in knowledge of plant behavior, component reliability, or operator performance that might compromise safety. This paper reviews the...

497

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These simulators are proprietary in nature and use; moreover, they are often centered on developing control rooms for next-generation power plants rather than modernizing...

498

DOE/ID-Number  

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

of work instruction. Other forms of electricity generation tend to be more technology-centered and less labor-dependent. This puts nuclear energy at somewhat of a long-term...

499

DOE/ID-Number  

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

Information, and Control (II&C) Systems Technologies pathway of the Light Water Reactor Sustainability(LWRS) Program conducts a vigorous engagement strategy with the...

500

DOE/ID-Number  

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

performance and PSC in NPPs and the latest information on mobile devices and software technology in order to explore a number of usage scenarios. In their research, the team...