Sample records for monitoring cxs applied

  1. COMMUNITY SPACE MONITOR (CSM) APPLICATION Thank you for applying for the Community Space Monitor position with the Residence Life department.

    E-Print Network [OSTI]

    COMMUNITY SPACE MONITOR (CSM) APPLICATION Thank you for applying for the Community Space Monitor, .docx) and PDF (.pdf) format only. #12;Residence Life Updated August 2014 -1 of 3- Community Space Monitor: Job Description IDENTIFICATION Position Title: Community Space Monitor Department: Residence Life

  2. Applying EVM principles to Tevatron Beam Position Monitor Project

    SciTech Connect (OSTI)

    Banerjee, Bakul; /Fermilab

    2005-08-01T23:59:59.000Z

    At Fermi National Accelerator Laboratory (Fermilab), the Tevatron high energy particle collider must meet the increasing scientific demand of higher beam luminosity. To achieve this higher luminosity goal, U. S. Department of Energy (DOE) sponsored a major upgrade of capabilities of Fermilab's accelerator complex that spans five years and costs over fifty million dollars. Tevatron Beam Position Monitor (BPM) system upgrade is a part of this project, generally called RunII upgrade project. Since the purpose of the Tevatron collider is to detect the smashing of proton and anti-protons orbiting the circular accelerator in opposite directions, capability to detect positions of both protons and antiprotons at a high resolution level is a desirable functionality of the monitoring system. The original system was installed during early 1980s, along with the original construction of the Tevatron. However, electronic technology available in 1980s did not allow for the detection of significantly smaller resolution of antiprotons. The objective of the upgrade project is to replace the existing BPM system with a new system utilizing capabilities of modern electronics enhanced by a front-end software driven by a real-time operating software. The new BPM system is designed to detect both protons and antiprotons with increased resolution of up to an order of magnitude. The new system is capable of maintaining a very high-level of data integrity and system reliability. The system consists of 27 VME crates installed at 27 service buildings around the Tevatron ring servicing 236 beam position monitors placed underground, inside the accelerator tunnel. Each crate consists of a single Timing Generator Fanout module, custom made by Fermilab staff, one MVME processor card running VxWorks 5.5, multiple Echotek Digital Receiver boards complimented by custom made Filter Board. The VxWorks based front-end software communicates with the Main Accelerator Control software via a special-purpose network called ACNET. New software algorithms are designed to decouple antiproton signals from the mixed proton and antiproton signals. Along with many technical challenges, it was necessary to meet various project management challenges as well. Since 1999, U.S. Department of Energy (DOE) has taken various measures to improve project management of the acquisition of capital assets. U.S. National Laboratories, with their charter of driving scientific efforts of DOE, have put into place project management methodologies recommended by DOE. One of the outcomes of such measures is the deployment of a formal project management system for large projects. This recommendation is detailed in the DOE order M 413.3. The Tevatron BPM Upgrade project, as a part of the Run II Upgrade project, used the methodology prescribed in the DOE order. Particular attention was concentrated on the performance management since the accelerator complex will be in operation for several years in the future. Because of the cost and schedule constraints on the project, it was also important to deploy Earned Value Management (EVM) methodology recommended by the DOE orders. In this paper, we discuss how the earned value project management methodology was implemented using a work breakdown structure based on system life cycle phases. Tevatron BPM upgrade project, now nearing completion, has been a significant learning experience for the organization. We discuss important lessons learned from the phase-dependant earned value management project model. Hardware and software co-design along with simultaneously developed high-precision algorithm was a major challenge. Since formal project management process is not fully ingrained into the cultural environment of the laboratory dedicated to high-energy physics research, we also gained significant experience with the planning for schedule and cost in this environment. We also present a set of earned value project management data that may serve as a baseline for future projects.

  3. Apply

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta3Appliance andApplicationBerkeleyAppliedApply

  4. SEISMIC MONITORING APPLIED TO MINES SAFETY AND OPTIMAL DESIGN OF MINE LAYOUTS IN HARD ROCK MASS SITATIONS

    E-Print Network [OSTI]

    Boyer, Edmond

    SEISMIC MONITORING APPLIED TO MINES SAFETY AND OPTIMAL DESIGN OF MINE LAYOUTS IN HARD ROCK MASSRockMechanics, School of Mines ofNancy, France. ABSTRACT : The paper intends to show how seismic data can be usefĂĽlly rock, tabular situations are usually associated with induced, seismic activity, i.e. the occurrence

  5. Applying the Leap Experience to Monitoring of Commercial Buildings in Hot and Humid Climates

    E-Print Network [OSTI]

    Mazzucchi, R. P.; Stoops, J. L.

    1988-01-01T23:59:59.000Z

    Energy use monitoring projects for commercial buildings must be carefully configured and managed to assure useful data products are produced in a timely and cost-effective manner. Many challenges associated with site selection, data definition...

  6. AUTOMATED PROCESS MONITORING: APPLYING PROVEN AUTOMATION TECHNIQUES TO INTERNATIONAL SAFEGUARDS NEEDS

    SciTech Connect (OSTI)

    O'Hara, Matthew J.; Durst, Philip C.; Grate, Jay W.; Devol, Timothy A.; Egorov, Oleg; Clements, John P.

    2008-07-13T23:59:59.000Z

    Identification and quantification of specific alpha- and beta-emitting radionuclides in complex liquid matrices is highly challenging, and is typically accomplished through laborious wet chemical sample preparation and separations followed by analysis using a variety of detection methodologies (e.g., liquid scintillation, gas proportional counting, alpha energy analysis, mass spectrometry). Analytical results may take days or weeks to report. Chains of custody and sample security measures may also complicate or slow the analytical process. When an industrial process-scale plant requires the monitoring of specific radionuclides as an indication of the composition of its feed stream or of plant performance, radiochemical measurements must be fast, accurate, and reliable. Scientists at Pacific Northwest National Laboratory have assembled a fully automated prototype Process Monitor instrument capable of a variety of tasks: automated sampling directly from a feed stream, sample digestion / analyte redox adjustment, chemical separations, radiochemical detection and data analysis / reporting. The system is compact, its components are fluidically inter-linked, and analytical results could be immediately transmitted to on- or off-site locations. The development of a rapid radiochemical Process Monitor for 99Tc in Hanford tank waste processing streams, capable of performing several measurements per hour, will be discussed in detail. More recently, the automated platform was modified to perform measurements of 90Sr in Hanford tank waste stimulant. The system exemplifies how automation could be integrated into reprocessing facilities to support international nuclear safeguards needs.

  7. Monitoring

    DOE Patents [OSTI]

    Orr, Christopher Henry (Calderbridge, GB); Luff, Craig Janson (Calderbridge, GB); Dockray, Thomas (Calderbridge, GB); Macarthur, Duncan Whittemore (Los Alamos, NM)

    2004-11-23T23:59:59.000Z

    The invention provides apparatus and methods which facilitate movement of an instrument relative to an item or location being monitored and/or the item or location relative to the instrument, whilst successfully excluding extraneous ions from the detection location. Thus, ions generated by emissions from the item or location can successfully be monitored during movement. The technique employs sealing to exclude such ions, for instance, through an electro-field which attracts and discharges the ions prior to their entering the detecting location and/or using a magnetic field configured to repel the ions away from the detecting location.

  8. LMS-based method for damage detection applied to Phase II of Structural Health Monitoring benchmark problem 

    E-Print Network [OSTI]

    Preston, Robin Huckaby

    2006-08-16T23:59:59.000Z

    Structural Health Monitoring (SHM) is the process of monitoring the state of a structure to determine the existence, location, and degree of damage that may exist within the entire structure. A structureÂ?s health or level ...

  9. LMS-based method for damage detection applied to Phase II of Structural Health Monitoring benchmark problem

    E-Print Network [OSTI]

    Preston, Robin Huckaby

    2006-08-16T23:59:59.000Z

    in structural stiffness for the IASC-ASCE Structural Health Monitoring Task Group Benchmark problem for both Phase I and II. The research focuses primarily on Phase II of the benchmark problem. In Phase II, modeling error and noise is introduced to the problem...

  10. CX-005201: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005201: Categorical Exclusion Determination Tall Tower Wind Energy Monitoring and Numerical Model Validation in Southern Nevada CX(s) Applied: A9,...

  11. CX-009513: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Aquatic Invasive Mussels Monitoring CX(s) Applied: B3.1 Date: 10/15/2012 Location(s): CX: none Offices(s): Bonneville Power Administration

  12. CX-010245: Categorical Exclusion Determination | Department of...

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

    Determination Development of a 300 Degree, 200 Level, 3C Fiber Optic Downhole Seismic Receiver Array for Surveying and Monitoring of Geothermal Reservoirs CX(s) Applied:...

  13. CX-007886: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Development of a 300C, 200 level, 3C Fiber Optic Downhole Seismic Receiver Array for Surveying and Monitoring of Geothermal Reservoirs CX(s) Applied:...

  14. Applying the Continuous Monitoring Technical

    E-Print Network [OSTI]

    Agency, as well as Larry Feldman and Zach Ragland from Booz Allen Hamilton. The authors would also like

  15. CX-010397: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Seismic Monitoring for Seismic Hazards Analyses CX(s) Applied: B3.1 Date: 05/13/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  16. CX-011362: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Self-powered Wireless Dual-mode Langasite Sensor for Pressure/Temperature Monitoring of Nuclear Reactors CX(s) Applied: B3.6 Date: 10/30/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  17. CX-008005: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Site Characterization and Environmental Monitoring CX(s) Applied: B3.1 Date: 11/28/2011 Location(s): Washington Offices(s): Science, Pacific Northwest Site Office

  18. CX-007444: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Corporation (AMS) for Performance Monitoring Technology Deployment at the Advanced Test Reactor (ATR) on the INL CX(s) Applied: B3.6 Date: 11152011 Location(s): Idaho...

  19. CX-009032: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Monitoring and Control of the Hybrid Laser-Gas Metal Arc Welding Process – Idaho National Laboratory CX(s) Applied: B3.6 Date: 08/13/2011 Location(s): Idaho Offices(s): Nuclear Energy

  20. CX-011269: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Real-Time In-Situ Carbon Dioxide Monitoring (RICO2M) Network for Sensitive Subsurface... CX(s) Applied: B3.6 Date: 09/30/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  1. CX-011404: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Marine and Hydrokinetic Environmental Effects Assessment and Monitoring CX(s) Applied: A9 Date: 11/14/2013 Location(s): California, Hawaii Offices(s): Golden Field Office

  2. CX-011060: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deep Controlled Source Electromagnetic Sensing: A Cost Effective, Long-Term Tool for Sequestration Monitoring CX(s) Applied: A1, A9 Date: 08/29/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  3. CX-012441: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kevin Dome Carbon Storage Project - Surface Monitoring Studies CX(s) Applied: B3.1Date: 41878 Location(s): MontanaOffices(s): National Energy Technology Laboratory

  4. CX-012444: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Geomechanical Monitoring for CO2 Hub Storage: Production and Injection at Kevin Dome CX(s) Applied: A9Date: 41878 Location(s): CaliforniaOffices(s): National Energy Technology Laboratory

  5. CX-012438: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Geomechanical Monitoring for CO2 Hub Storage: Production and Injection at Kevin Dome CX(s) Applied: A1, A9Date: 41878 Location(s): MontanaOffices(s): National Energy Technology Laboratory

  6. CX-010356: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Site Characterization Investigation and Environmental Monitoring Activities CX(s) Applied: B3.1 Date: 11/19/2012 Location(s): Tennessee, California, Virginia Offices(s): Berkeley Site Office

  7. CX-011034: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Monitoring of Advanced Automotive Technologies in Asia CX(s) Applied: A8 Date: 09/10/2013 Location(s): New Mexico Offices(s): National Energy Technology Laboratory

  8. CX-011561: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Structural Health Monitoring of Nuclear Spent Fuel Storage Facilities CX(s) Applied: B3.6 Date: 11/19/2013 Location(s): South Carolina Offices(s): Idaho Operations Office

  9. CX-009160: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Underwater Active Acoustic Monitoring Network for Marine and Hydrokinetic Energy Projects CX(s) Applied: B3.3 Date: 09/24/2012 Location(s): Maine Offices(s): Golden Field Office

  10. CX-008175: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Routine Monitoring, Maintenance and Administrative at the Durango, Colorado Disposal and Former Processing Sites CX(s) Applied: B1.3, B3.1 Date: 04/13/2012 Location(s): Colorado Offices(s): Legacy Management

  11. CX-012204: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Relocation of Environmental Monitoring Services Personnel and Equipment CX(s) Applied: B1.31 Date: 05/20/2014 Location(s): Idaho Offices(s): Nuclear Energy

  12. CX-011558: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Structural Health Monitoring of Nuclear Spent Fuel Storage Facilities CX(s) Applied: B3.6 Date: 11/21/2013 Location(s): California Offices(s): Idaho Operations Office

  13. CX-008739: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Enhancement of Radiation Safety and Radiological Monitoring Systems for the Ohio State University Nuclear Reactor CX(s) Applied: B2.2 Date: 05/21/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  14. CX-009509: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Power Monitoring, Communication and Control Upgrade at Bryan Mound Degas Plant (Install) CX(s) Applied: B1.7 Date: 10/31/2012 Location(s): Texas Offices(s): Strategic Petroleum Reserve Field Office

  15. CX-011023: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Smart Refractory Sensor Systems for Wireless Monitoring of Temperature, Health & Degradation of… CX(s) Applied: B3.6 Date: 09/11/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  16. CX-011022: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Smart Refractory Sensor Systems for Wireless Monitoring of Temperature, Health & Degradation of… CX(s) Applied: B3.6 Date: 09/11/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  17. CX-008856: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Site Characterization and Environmental Monitoring on the Hanford Site CX(s) Applied: B3.1 Date: 08/01/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  18. CX-010534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Site Characterization and Environmental Monitoring on the Hanford Site - 2013 CX(s) Applied: B3.14 Date: 06/13/2013 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  19. CX-010927: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Integrated Biomimetic Framework with Intelligent Monitoring, Cognition, and Decision... CX(s) Applied: A9 Date: 09/25/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  20. CX-010926: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Integrated Biomimetic Framework with Intelligent Monitoring, Cognition, and Decision... CX(s) Applied: A9 Date: 09/25/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  1. Monitoring materials

    DOE Patents [OSTI]

    Orr, Christopher Henry (Calderbridge, GB); Luff, Craig Janson (Calderbridge, GB); Dockray, Thomas (Calderbridge, GB); Macarthur, Duncan Whittemore (Los Alamos, NM)

    2002-01-01T23:59:59.000Z

    The apparatus and method provide techniques for effectively implementing alpha and/or beta and/or gamma monitoring of items or locations as desired. Indirect alpha monitoring by detecting ions generated by alpha emissions, in conjunction with beta and/or gamma monitoring is provided. The invention additionally provides for screening of items prior to alpha monitoring using beta and/or gamma monitoring, so as to ensure that the alpha monitoring apparatus is not contaminated by proceeding direct to alpha monitoring of a heavily contaminated item or location. The invention provides additional versatility in the emission forms which can be monitored, whilst maintaining accuracy and avoiding inadvertent contamination.

  2. Performance Monitoring

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

    Optimization Performance Monitoring Performance Monitoring A redirector page has been set up without anywhere to redirect to. Last edited: 2014-08-25 14:37:27...

  3. Reactor Monitoring with Neutrinos

    E-Print Network [OSTI]

    M. Cribier

    2007-04-06T23:59:59.000Z

    The fundamental knowledge on neutrinos acquired in the recent years open the possibility of applied neutrino physics. Among it the automatic and non intrusive monitoring of nuclear reactor by its antineutrino signal could be very valuable to IAEA in charge of the control of nuclear power plants. Several efforts worldwide have already started.

  4. Journal of Applied Ecology 2006

    E-Print Network [OSTI]

    Thomas, Len

    Journal of Applied Ecology 2006 43, 377­384 © 2006 The Authors. Journal compilation © 2006 British Ecological Society Blackwell Publishing Ltd METHODOLOGICAL INSIGHTS Point transect sampling with traps, Etive House, Beechwood Park, Inverness IV2 3BW, UK Summary 1. The ability to monitor abundance of animal

  5. Ion Monitoring

    DOE Patents [OSTI]

    Orr, Christopher Henry (Calderbridge, GB); Luff, Craig Janson (Calderbridge, GB); Dockray, Thomas (Calderbridge, GB); Macarthur, Duncan Whittemore (Los Alamos, NM)

    2003-11-18T23:59:59.000Z

    The apparatus and method provide a technique for significantly reducing capacitance effects in detector electrodes arising due to movement of the instrument relative to the item/location being monitored in ion detection based techniques. The capacitance variations are rendered less significant by placing an electrically conducting element between the detector electrodes and the monitored location/item. Improved sensitivity and reduced noise signals arise as a result. The technique also provides apparatus and method suitable for monitoring elongate items which are unsuited to complete enclosure in one go within a chamber. The items are monitored part by part as the pass through the instrument, so increasing the range of items or locations which can be successfully monitored.

  6. Electrostatic monitoring

    DOE Patents [OSTI]

    Orr, Christopher Henry (Cumbria, GB); Luff, Craig Janson (Cumbria, GB); Dockray, Thomas (Cumbria, GB); Macarthur, Duncan Whittemore (Los Alamos, NM)

    2001-01-01T23:59:59.000Z

    The apparatus and method provide a technique for more simply measuring alpha and/or beta emissions arising from items or locations. The technique uses indirect monitoring of the emissions by detecting ions generated by the emissions, the ions being attracted electrostatically to electrodes for discharge of collection. The apparatus and method employ a chamber which is sealed around the item or location during monitoring with no air being drawn into or expelled from the chamber during the monitoring process. A simplified structure and operations arises as a result, but without impairing the efficiency and accuracy of the detection technique.

  7. Monitoring well

    DOE Patents [OSTI]

    Hubbell, Joel M. (Idaho Falls, ID); Sisson, James B. (Idaho Falls, ID)

    2002-01-01T23:59:59.000Z

    The present invention relates to a monitoring well which includes an enclosure defining a cavity and a water reservoir enclosed within the cavity and wherein the reservoir has an inlet and an outlet. The monitoring well further includes a porous housing borne by the enclosure and which defines a fluid chamber which is oriented in fluid communication with the outlet of the reservoir, and wherein the porous housing is positioned in an earthen soil location below-grade. A geophysical monitoring device is provided and mounted in sensing relation relative to the fluid chamber of the porous housing; and a coupler is selectively moveable relative to the outlet of reservoir to couple the porous housing and water reservoir in fluid communication. An actuator is coupled in force transmitting relation relative to the coupler to selectively position the coupler in a location to allow fluid communication between the reservoir and the fluid chamber defined by the porous housing.

  8. Monitoring well

    DOE Patents [OSTI]

    Hubbell, Joel M. (Idaho Falls, ID); Sisson, James B. (Idaho Falls, ID)

    1999-01-01T23:59:59.000Z

    A monitoring well including a conduit defining a passageway, the conduit having a proximal and opposite, distal end; a coupler connected in fluid flowing relationship with the passageway; and a porous housing borne by the coupler and connected in fluid flowing relation thereto.

  9. Monitoring well

    DOE Patents [OSTI]

    Hubbell, J.M.; Sisson, J.B.

    1999-06-29T23:59:59.000Z

    A monitoring well is described which includes: a conduit defining a passageway, the conduit having a proximal and opposite, distal end; a coupler connected in fluid flowing relationship with the passageway; and a porous housing borne by the coupler and connected in fluid flowing relation thereto. 8 figs.

  10. Global nuclear material monitoring with NDA and C/S data through integrated facility monitoring

    SciTech Connect (OSTI)

    Howell, J.A.; Menlove, H.O.; Argo, P.; Goulding, C.; Klosterbuer, S.; Halbig, J.

    1996-09-01T23:59:59.000Z

    This paper focuses on a flexible, integrated demonstration of a monitoring approach for nuclear material monitoring. This includes aspects of item signature identification, perimeter portal monitoring, advanced data analysis, and communication as a part of an unattended continuous monitoring system in an operating nuclear facility. Advanced analysis is applied to the integrated nondestructive assay and containment and surveillance data that are synchronized in time. End result will be the foundation for a cost-effective monitoring system that could provide the necessary transparency even in areas that are denied to foreign nationals of both US and Russia should these processes and materials come under full-scope safeguards or bilateral agreements. Monitoring systems of this kind have the potential to provide additional benefits including improved nuclear facility security and safeguards and lower personnel radiation exposures. Demonstration facilities in this paper include VTRAP-prototype, Los Alamos Critical Assemblies Facility, Kazakhstan BM-350 Reactor monitor, DUPIC radiation monitoring, and JOYO and MONJU radiation monitoring.

  11. Site Monitoring Area Maps

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

    to the Site Monitoring Area (SMA) The Site Monitoring Area sampler Control measures (best management practices) installed at the Site Monitoring Area Structures such as...

  12. Tritium monitor

    DOE Patents [OSTI]

    Chastagner, Philippe (Augusta, GA)

    1994-01-01T23:59:59.000Z

    A system for continuously monitoring the concentration of tritium in an aqueous stream. The system pumps a sample of the stream to magnesium-filled combustion tube which reduces the sample to extract hydrogen gas. The hydrogen gas is then sent to an isotope separation device where it is separated into two groups of isotopes: a first group of isotopes containing concentrations of deuterium and tritium, and a second group of isotopes having substantially no deuterium and tritium. The first group of isotopes containing concentrations of deuterium and tritium is then passed through a tritium detector that produces an output proportional to the concentration of tritium detected. Preferably, the detection system also includes the necessary automation and data collection equipment and instrumentation for continuously monitoring an aqueous stream.

  13. Tritium monitor

    DOE Patents [OSTI]

    Chastagner, P.

    1994-06-14T23:59:59.000Z

    A system is described for continuously monitoring the concentration of tritium in an aqueous stream. The system pumps a sample of the stream to magnesium-filled combustion tube which reduces the sample to extract hydrogen gas. The hydrogen gas is then sent to an isotope separation device where it is separated into two groups of isotopes: a first group of isotopes containing concentrations of deuterium and tritium, and a second group of isotopes having substantially no deuterium and tritium. The first group of isotopes containing concentrations of deuterium and tritium is then passed through a tritium detector that produces an output proportional to the concentration of tritium detected. Preferably, the detection system also includes the necessary automation and data collection equipment and instrumentation for continuously monitoring an aqueous stream. 1 fig.

  14. New technologies for item monitoring

    SciTech Connect (OSTI)

    Abbott, J.A. [EG & G Energy Measurements, Albuquerque, NM (United States); Waddoups, I.G. [Sandia National Labs., Albuquerque, NM (United States)

    1993-12-01T23:59:59.000Z

    This report responds to the Department of Energy`s request that Sandia National Laboratories compare existing technologies against several advanced technologies as they apply to DOE needs to monitor the movement of material, weapons, or personnel for safety and security programs. The authors describe several material control systems, discuss their technologies, suggest possible applications, discuss assets and limitations, and project costs for each system. The following systems are described: WATCH system (Wireless Alarm Transmission of Container Handling); Tag system (an electrostatic proximity sensor); PANTRAK system (Personnel And Material Tracking); VRIS (Vault Remote Inventory System); VSIS (Vault Safety and Inventory System); AIMS (Authenticated Item Monitoring System); EIVS (Experimental Inventory Verification System); Metrox system (canister monitoring system); TCATS (Target Cueing And Tracking System); LGVSS (Light Grid Vault Surveillance System); CSS (Container Safeguards System); SAMMS (Security Alarm and Material Monitoring System); FOIDS (Fiber Optic Intelligence & Detection System); GRADS (Graded Radiation Detection System); and PINPAL (Physical Inventory Pallet).

  15. Remote Gas Well Monitoring Technology Applied to Marcellus Shale Site |

    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 onYouTube YouTube Note: Since the.pdfBreakingMay 2015 < prevQuick Guide:U.N.JuneAsPipeline FirstLuncheon

  16. Remote Gas Well Monitoring Technology Applied to Marcellus Shale Site |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18,new2004_v1.3_5.0.zipFlorida4Visitors ChapterRequirements

  17. HOUSING GUARANTEE Apply Online

    E-Print Network [OSTI]

    Mease, Kenneth D.

    THE UCI HOUSING GUARANTEE Apply Online 1 Log in to your MyAdmission account via the tab of Admission fee. 3 Complete the Online Housing Application and pay the $20 non-refundable fee. Freshmen apply for the residence halls. Transfer students apply for Arroyo Vista theme houses and on-campus apartments. Students 25

  18. Packet personal radiation monitor

    DOE Patents [OSTI]

    Phelps, James E. (Knoxville, TN)

    1989-01-01T23:59:59.000Z

    A personal radiation monitor of the chirper type is provided for detecting ionizing radiation. A battery powered high voltage power supply is used to generate and apply a high voltage bias to a G-M tube radiation sensor. The high voltage is monitored by a low-loss sensing network which generates a feedback signal to control the high voltage power supply such that the high voltage bias is recharged to +500 VDC when the current pulses of the sensor, generated by the detection of ionizing radiation events, discharges the high voltage bias to +450 VDC. During the high voltage recharge period an audio transducer is activated to produce an audible "chirp". The rate of the "chirps" is controlled by the rate at which the high voltage bias is recharged, which is proportional to the radiation field intensity to which the sensor is exposed. The chirp rate sensitivity is set to be approximately 1.5 (chirps/min/MR/hr.). The G-M tube sensor is used in a current sensing mode so that the device does not paralyze in a high radiation field.

  19. Packet personal radiation monitor

    DOE Patents [OSTI]

    Phelps, J.E.

    1988-03-31T23:59:59.000Z

    A personal radiation monitor of the chirper type is provided for detecting ionizing radiation. A battery powered high voltage power supply is used to generate and apply a high voltage bias to a G-M tube radiation sensor. The high voltage is monitored by a low-loss sensing network which generates a feedback signal to control the high voltage power supply such that the high voltage bias is recharged to +500 VDC when the current pulses of the sensor, generated by the detection of ionizing radiatonevents, discharges the high voltage bias to +450 VDC. During the high voltage recharge period an audio transducer is activated to produce an audible ''chirp''. The rate of the ''chirps'' is controlled by the rate at which the high voltage bias is recharged, which is proportional to the radiation field intensity to which the sensor is exposed. The chirp rate sensitivity is set to be approximately 1.5 (chirps/min/MR/hr.). The G-M tube sensor is used in a current sensing mode so that the device does not paralyze in a high radiation field. 2 figs.

  20. Recent Advances in Wave Travel Time Based Methodology for Structural Health Monitoring

    E-Print Network [OSTI]

    Southern California, University of

    Recent Advances in Wave Travel Time Based Methodology for Structural Health Monitoring and Early useful, a structural health monitoring method must be robust when applied to real data, sensitive even of vibrational methods found in structural health monitoring literature are not robust when applied to real

  1. Applied Computer Science

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

    Science and Innovation Computing CCS Division CCS-7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable...

  2. Apply early! Limited enrollment.

    E-Print Network [OSTI]

    volcano. Experience the culture and history of Hawaii, and the impact of human activitiesApply early! Limited enrollment. Environmental Science in the Hawaiian Islands Observe, research

  3. Selecting and Applying Interfacings

    E-Print Network [OSTI]

    2006-05-01T23:59:59.000Z

    Selecting and using interfacing correctly is an important component of garment construction. The various types of interfacing are described and methods of applying them are discussed in detail....

  4. HP Steam Trap Monitoring

    E-Print Network [OSTI]

    Pascone, S.

    2011-01-01T23:59:59.000Z

    STEAM MONITORING HP Steam Trap Monitoring HP Steam Trap Monitoring ? 12-18 months payback! ? 3-5% permanent reduction in consumption ? LEED Pt.? Innovation in Operations EB O&M ? Saved clients over $1,000,000 Annual consumption... Steam Trap Monitoring ? Real-time monitoring for high-pressure critical traps (>15 PSIG) ? Average total system cost $25K - $50K ? Web-Based or Modbus/BMS Integration Basic Installation Wireless Signal Transmitter Receiver Repeater...

  5. INTRODUCTION APPLIED GEOPHYSICS

    E-Print Network [OSTI]

    Merriam, James

    GEOL 384.3 INTRODUCTION TO APPLIED GEOPHYSICS OUTLINE INTRODUCTION TO APPLIED GEOPHYSICS GEOL 384 unknowns; the ones we don't know we don't know. And if one looks throughout the history of geophysics he didn't really say geophysics. He said, " ... our country and other free countries ...". But I am

  6. Data driven process monitoring based on neural networks and classification trees

    E-Print Network [OSTI]

    Zhou, Yifeng

    2005-11-01T23:59:59.000Z

    of this dissertation is to develop process monitoring schemes that can be applied to complex process systems. Neural networks have been a popular tool for modeling and pattern classification for monitoring of process systems. However, due to the prohibitive...

  7. CX-010480: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Multi-User Network Testbed for Wide-Area Monitoring and Control of Power Systems CX(s) Applied: A9, B3.6 Date: 05/29/2013 Location(s): North Carolina Offices(s): National Energy Technology Laboratory

  8. CX-009693: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    CH2MHill Plateau Remediation Company - Site Characterization and Environmental Monitoring, December 2012 to December 2013 CX(s) Applied: B3.1 Date: 12/14/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  9. CX-009380: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multi-Point Pressure and Temperature Sensing Fiber Optic Cable for Monitoring Carbon Dioxide Sequestration CX(s) Applied: A9, B3.6 Date: 09/17/2012 Location(s): New York Offices(s): National Energy Technology Laboratory

  10. CX-007771: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nuclear Energy University Programs Minor Reactor Upgrade Request for Enhancement of Safety and Operational Monitoring Systems and Research Capabilities of the Ohio State University Nuclear Reactor Laboratory CX(s) Applied: B2.2 Date: 11/28/2011 Location(s): Ohio Offices(s): Nuclear Energy, Idaho Operations Office

  11. CX-011270: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Real-Time In-Situ Carbon Dioxide Monitoring (RICO2M) Network for Sensitive Subsurface... CX(s) Applied: A11, B4.6 Date: 09/30/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  12. CX-011058: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deep Controlled Source Electromagnetic Sensing: A Cost Effective, Long-Term Tool for Sequestration Monitoring CX(s) Applied: A1, A9, B3.6 Date: 08/29/2013 Location(s): Nevada Offices(s): National Energy Technology Laboratory

  13. CX-011059: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deep Controlled Source Electromagnetic Sensing: A Cost Effective, Long-Term Tool for Sequestration Monitoring CX(s) Applied: A1, A9, B3.1, B3.6 Date: 08/29/2013 Location(s): CX: none Offices(s): National Energy Technology Laboratory

  14. CX-009180: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    (0675-1526) Gayle Technologies, Inc. (GTI) - State-of-Health by Ultrasonic Battery Monitoring with In-Service Testing CX(s) Applied: B3.6 Date: 09/06/2012 Location(s): Tennessee, Oklahoma, Tennessee Offices(s): Advanced Research Projects Agency-Energy

  15. CX-011003: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Surface and Airborne Monitoring Technology for Detecting Geologic Leakage in Carbon Dioxide EOR Pilot CX(s) Applied: A1, A9, B3.1, B3.6, B3.11 Date: 09/12/2013 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  16. CX-006221: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Routine Monitoring, Maintenance, the Installation of Two Wells and General Site and Administrative Actions at the Bluewater, New Mexico, Disposal Site (LM Number 10 -11)CX(s) Applied: B1.3, B3.1Date: 06/24/2011Location(s): Bluewater, New MexicoOffice(s): Legacy Management

  17. CX-000809: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cut, Remove and Replace Off-Gas Exhaust Fan #2 and #3 foundation and Replace Air Monitor Fan #1 and #2CX(s) Applied: B1.3Date: 12/17/2009Location(s): Aiken, South CarolinaOffice(s): Environmental Management, Savannah River Operations Office

  18. CX-000532: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cut, Remove and Replace Off-Gas Exhaust Fan #2 Foundation and Replace Air Monitor Fan #1 and #2CX(s) Applied: B1.3Date: 10/29/2009Location(s): Aiken, South CarolinaOffice(s): Environmental Management, Savannah River Operations Office

  19. CX-011639: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Site Characterization, Monitoring, and General Research Activities for Pantex Plant for FY 2014 CX(s) Applied: B3.1, B3.3, B3.6, B3.8 Date: 09/26/2013 Location(s): Texas Offices(s): Pantex Site Office

  20. CX-012036: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Smart Cementing Materials and Drilling Muds for Real-Time Monitoring of Deepwater Wellbore Enhancement CX(s) Applied: A9, A11, B3.6, B3.7 Date: 04/15/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  1. CX-007562: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Tools for Coupled lnSAR and Seismicity Monitoring of Enhanced Geothermal System Reservoir Development and Management CX(s) Applied: A9, B3.1 Date: 01/10/2012 Location(s): Pennsylvania Offices(s): Golden Field Office

  2. CX-007563: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Tools for Coupled lnSAR and Seismicity Monitoring of Enhanced Geothermal System Reservoir Development and Management CX(s) Applied: A9, B3.1 Date: 01/18/2012 Location(s): Pennsylvania Offices(s): Golden Field Office

  3. Essays in applied microeconomics

    E-Print Network [OSTI]

    Aron-Dine, Aviva

    2012-01-01T23:59:59.000Z

    This dissertation consists of three chapters on topics in applied microeconomics. In the first chapter. I investigate whether voters are more likely to support additional spending on local public services when they perceive ...

  4. Engineering and Applied

    E-Print Network [OSTI]

    Stowell, Michael

    > Computer Science > Electrical, Computer, and Energy Engineering > Mechanical Engineering 11, Computational Science and Engineering, Energy Systems and Environmental Sustainability, Materials ScienceCollege of Engineering and Applied Science Contact Robert H. Davis, Engineering Dean 303

  5. Applying for Research Awards

    E-Print Network [OSTI]

    ... 53.22 KB APPLYING FOR RESEARCH AWARDS The Eastern Bird Banding Association seeks applicants for its annual $500 research awards in aid of research using banding techniques or bird banding data. ...

  6. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

    Hong, Tianzhen; Feng, Wei; Lu, Alison; Xia, Jianjun; Yang, Le; Shen, Qi; Im, Piljae; Bhandari, Mahabir

    2013-06-01T23:59:59.000Z

    This project aimed to develop a standard methodology for building energy data definition, collection, presentation, and analysis; apply the developed methods to a standardized energy monitoring platform, including hardware and software, to collect and analyze building energy use data; and compile offline statistical data and online real-time data in both countries for fully understanding the current status of building energy use. This helps decode the driving forces behind the discrepancy of building energy use between the two countries; identify gaps and deficiencies of current building energy monitoring, data collection, and analysis; and create knowledge and tools to collect and analyze good building energy data to provide valuable and actionable information for key stakeholders.

  7. Process Monitoring for Nuclear Safeguards

    SciTech Connect (OSTI)

    Ehinger, Michael H [ORNL] [ORNL; Pomeroy, George D [ORNL] [ORNL; Budlong-Sylvester, Kory W [ORNL] [ORNL

    2009-01-01T23:59:59.000Z

    Process Monitoring has long been used to evaluate industrial processes and operating conditions in nuclear and non-nuclear facilities. In nuclear applications there is a recognized need to demonstrate the safeguards benefits from using advanced process monitoring on spent fuel reprocessing technologies and associated facilities, as a complement to nuclear materials accounting. This can be accomplished by: defining credible diversion pathway scenarios as a sample problem; using advanced sensor and data analysis techniques to illustrate detection capabilities; and formulating 'event detection' methodologies as a means to quantify performance of the safeguards system. Over the past 30 years there have been rapid advances and improvement in the technology associated with monitoring and control of industrial processes. In the context of bulk handling facilities that process nuclear materials, modern technology can provide more timely information on the location and movement of nuclear material to help develop more effective safeguards. For international safeguards, inspection means verification of material balance data as reported by the operator through the State to the international inspectorate agency. This verification recognizes that the State may be in collusion with the operator to hide clandestine activities, potentially during abnormal process conditions with falsification of data to mask the removal. Records provided may show material is accounted for even though a removal occurred. Process monitoring can offer additional fidelity during a wide variety of operating conditions to help verify the declaration or identify possible diversions. The challenge is how to use modern technology for process monitoring and control in a proprietary operating environment subject to safeguards inspectorate or other regulatory oversight. Under the U.S. National Nuclear Security Administration's Next Generation Safeguards Initiative, a range of potential safeguards applications for process monitoring are under conceptual development and evaluation. This paper reports on a study of process monitoring for a sample problem involving spent fuel reprocessing with aqueous reprocessing technologies. This includes modeling the processes in the context of a nuclear material diversion scenario and measuring the associated process chemistry. A systems-centric model is applied using actual and simulated plant data, advanced sensors, anomaly detection methods, statistical analysis and data authentication methods, to help illustrate the benefits of process monitoring applications.

  8. Portal radiation monitor

    DOE Patents [OSTI]

    Kruse, Lyle W. (Albuquerque, NM)

    1985-01-01T23:59:59.000Z

    A portal radiation monitor combines 0.1% FAR with high sensitivity to special nuclear material. The monitor utilizes pulse shape discrimination, dynamic compression of the photomultiplier output and scintillators sized to maintain efficiency over the entire portal area.

  9. APS Building Monitors

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

    Building Monitors For non-401 Building Monitors, select: LOMs Other APS Buildings 401 West WCtr Lab Wing ECtr East 5th Floor Yiying Ge na na na na 4th Floor Rick Fenner Karen...

  10. Corrosion monitoring apparatus

    DOE Patents [OSTI]

    Isaacs, Hugh S. (Shoreham, NY); Weeks, John R. (Stony Brook, NY)

    1980-01-01T23:59:59.000Z

    A corrosion monitoring device in an aqueous system which includes a formed crevice and monitoring the corrosion of the surfaces forming the crevice by the use of an a-c electrical signal.

  11. Black Box Approach for Energy Monitoring of Commercial Buildings

    E-Print Network [OSTI]

    Komhard, S.; Neumann, C.

    be identified by comparing the predictions to real measurements. Models to monitor the daily heating and electricity demand are developed and applied to measured data from two demonstration buildings....

  12. Ambient monitoring of pollutants around synfuel plants : final report

    E-Print Network [OSTI]

    Golomb, D.

    1984-01-01T23:59:59.000Z

    This study was undertaken to aid in the evaluation of Environmental Monitoring Plans (EMP) submitted to the U.S. Synfuel Corporation by prospective operators of large-scale synfuel plants who are applying for financial ...

  13. Double Shell Tank (DST) Monitor and Control Subsystem Specification

    SciTech Connect (OSTI)

    BAFUS, R.R.

    2000-11-03T23:59:59.000Z

    This specification revises the performance requirements and provides references to the requisite codes and standards to be applied during design of the Double-Shell Tank (DST) Monitor and Control Subsystem that supports the first phase of Waste Feed Delivery.

  14. Information Science, Computing, Applied Math

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

    Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security depends on science and...

  15. Seismic Imaging and Monitoring

    SciTech Connect (OSTI)

    Huang, Lianjie [Los Alamos National Laboratory

    2012-07-09T23:59:59.000Z

    I give an overview of LANL's capability in seismic imaging and monitoring. I present some seismic imaging and monitoring results, including imaging of complex structures, subsalt imaging of Gulf of Mexico, fault/fracture zone imaging for geothermal exploration at the Jemez pueblo, time-lapse imaging of a walkway vertical seismic profiling data for monitoring CO{sub 2} inject at SACROC, and microseismic event locations for monitoring CO{sub 2} injection at Aneth. These examples demonstrate LANL's high-resolution and high-fidelity seismic imaging and monitoring capabilities.

  16. Environmental Monitoring Plan

    SciTech Connect (OSTI)

    Holland, R.C. [Science Applications International Corp., San Diego, CA (United States)

    1993-07-01T23:59:59.000Z

    This Environmental Monitoring Plan was written to fulfill the requirements of Department of Energy (DOE) Order 5400.1 and DOE Environmental Regulatory Guide DOE/EH 0173T. This Plan documents the background, organizational structure, and methods used for effluent monitoring and environmental surveillance at Sandia National Laboratories/California. The design, rationale, and historical results of the environmental monitoring system are discussed in detail. Throughout the Plan, recommendations for improvements to the monitoring system are made. This revision to the Environmental Monitoring Plan was written to document the changes made to the Monitoring Program during 1992. Some of the data (most notably the statistical analyses of past monitoring data) has not been changed.

  17. SUSTAINABILITY WHO CAN APPLY

    E-Print Network [OSTI]

    FUNDED BY CALL FOR SUSTAINABILITY RESEARCH STUDENT WHO CAN APPLY Undergraduate and graduate Participate in the Global Change & Sustainability Center's Research Symposium; attend workshops with faculty or publish in the U's student-run sustainability publication to be released in May 2014. Are you conducting

  18. Applied Microbiology and Biotechnology

    E-Print Network [OSTI]

    Alvarez-Cohen, Lisa

    1 23 Applied Microbiology and Biotechnology ISSN 0175-7598 Appl Microbiol Biotechnol DOI 10.1007/s-Cohen #12;1 23 Your article is protected by copyright and all rights are held exclusively by Springer in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version

  19. Sandia Energy - Structural Health Monitoring

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

    Structural Health Monitoring Home Stationary Power Energy Conversion Efficiency Wind Energy Materials, Reliability, & Standards Structural Health Monitoring Structural Health...

  20. E-Print Network 3.0 - aquatic ecology monitoring Sample Search...

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

    > >> Page: << < 1 2 3 4 5 > >> 61 Journal of Applied Ecology 2005 Summary: , monitoring, restoration assessment, stream Journal of Applied Ecology (2005) 42, 208-217 doi: 10.1111...

  1. Radiation monitor for liquids

    DOE Patents [OSTI]

    Koster, J.E.; Bolton, R.D.

    1999-03-02T23:59:59.000Z

    A radiation monitor for use with liquids that utilizes air ions created by alpha radiation emitted by the liquids as its detectable element. A signal plane, held at an electrical potential with respect to ground, collects these air ions. A guard plane or guard rings is used to limit leakage currents. In one embodiment, the monitor is used for monitoring liquids retained in a tank. Other embodiments monitor liquids flowing through a tank, and bodies of liquids, such as ponds, lakes, rivers and oceans. 4 figs.

  2. Radiation monitor for liquids

    DOE Patents [OSTI]

    Koster, James E. (Los Alamos, NM); Bolton, Richard D. (Los Alamos, NM)

    1999-01-01T23:59:59.000Z

    A radiation monitor for use with liquids that utilizes air ions created by alpha radiation emitted by the liquids as its detectable element. A signal plane, held at an electrical potential with respect to ground, collects these air ions. A guard plane or guard rings is used to limit leakage currents. In one embodiment, the monitor is used for monitoring liquids retained in a tank. Other embodiments monitor liquids flowing through a tank, and bodies of liquids, such as ponds, lakes, rivers and oceans.

  3. Demo: On the High Quality Sensor Placement for Structural Health Monitoring

    E-Print Network [OSTI]

    Wang, Dan

    Demo: On the High Quality Sensor Placement for Structural Health Monitoring Bo Li Dept. of Civil for structural health monitoring systems today. Existing studies on sensor systems from computer science associated with these techniques less useful. We consider the structural health monitoring (SHM) appli

  4. Applied ALARA techniques

    SciTech Connect (OSTI)

    Waggoner, L.O.

    1998-02-05T23:59:59.000Z

    The presentation focuses on some of the time-proven and new technologies being used to accomplish radiological work. These techniques can be applied at nuclear facilities to reduce radiation doses and protect the environment. The last reactor plants and processing facilities were shutdown and Hanford was given a new mission to put the facilities in a safe condition, decontaminate, and prepare them for decommissioning. The skills that were necessary to operate these facilities were different than the skills needed today to clean up Hanford. Workers were not familiar with many of the tools, equipment, and materials needed to accomplish:the new mission, which includes clean up of contaminated areas in and around all the facilities, recovery of reactor fuel from spent fuel pools, and the removal of millions of gallons of highly radioactive waste from 177 underground tanks. In addition, this work has to be done with a reduced number of workers and a smaller budget. At Hanford, facilities contain a myriad of radioactive isotopes that are 2048 located inside plant systems, underground tanks, and the soil. As cleanup work at Hanford began, it became obvious early that in order to get workers to apply ALARA and use hew tools and equipment to accomplish the radiological work it was necessary to plan the work in advance and get radiological control and/or ALARA committee personnel involved early in the planning process. Emphasis was placed on applying,ALARA techniques to reduce dose, limit contamination spread and minimize the amount of radioactive waste generated. Progress on the cleanup has,b6en steady and Hanford workers have learned to use different types of engineered controls and ALARA techniques to perform radiological work. The purpose of this presentation is to share the lessons learned on how Hanford is accomplishing radiological work.

  5. Global nuclear material monitoring

    SciTech Connect (OSTI)

    Howell, J.A.; Monlove, H.O.; Goulding, C.A.; Martinez, B.J.; Coulter, C.A.

    1997-08-01T23:59:59.000Z

    This is the final report of a one-year Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). This project provided a detailed systems design for advanced integrated facility monitoring and identified the components and enabling technologies required to facilitate the development of the monitoring system of the future.

  6. Transmission Line Security Monitor

    ScienceCinema (OSTI)

    None

    2013-05-28T23:59:59.000Z

    The Transmission Line Security Monitor is a multi-sensor monitor that mounts directly on high-voltage transmission lines to detect, characterize and communicate terrorist activity, human tampering and threatening conditions around support towers. For more information about INL's critical infrastructure protection research, visit http://www.facebook.com/idahonationallaboratory.

  7. Transmission Line Security Monitor

    SciTech Connect (OSTI)

    None

    2011-01-01T23:59:59.000Z

    The Transmission Line Security Monitor is a multi-sensor monitor that mounts directly on high-voltage transmission lines to detect, characterize and communicate terrorist activity, human tampering and threatening conditions around support towers. For more information about INL's critical infrastructure protection research, visit http://www.facebook.com/idahonationallaboratory.

  8. High resolution in situ ultrasonic corrosion monitor

    DOE Patents [OSTI]

    Grossman, Robert J. (Schenectady, NY)

    1985-01-01T23:59:59.000Z

    An ultrasonic corrosion monitor is provided which produces an in situ measurement of the amount of corrosion of a monitoring zone or zones of an elongate probe placed in the corrosive environment. A monitoring zone is preferably formed between the end of the probe and the junction of the zone with a lead-in portion of the probe. Ultrasonic pulses are applied to the probe and a determination made of the time interval between pulses reflected from the end of the probe and the junction referred to, both when the probe is uncorroded and while it is corroding. Corresponding electrical signals are produced and a value for the normalized transit time delay derived from these time interval measurements is used to calculate the amount of corrosion.

  9. High-temperature Pump Monitoring - High-temperature ESP Monitoring...

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

    7 4.4.4 High-temperature Pump Monitoring - High-temperature ESP Monitoring Presentation Number: 018 Investigator: Dhruva, Brindesh (Schlumberger Technology Corp.) Objectives: To...

  10. Environmental monitoring plan - environmental monitoring section. Revision 1

    SciTech Connect (OSTI)

    Wilt, G.C. [ed.; Tate, P.J.; Brigdon, S.L. [and others

    1994-11-01T23:59:59.000Z

    This report presents the environmental monitoring plan for the Lawrence Livermore National Laboratory. A site characterization is provided along with monitoring and measurement techniques and quality assurance measures.

  11. Non-intrusive appliance monitor apparatus

    DOE Patents [OSTI]

    Hart, George W. (Natick, MA); Kern, Jr., Edward C. (Lincoln, MA); Schweppe, Fred C. (Carlisle, MA)

    1989-08-15T23:59:59.000Z

    A non-intrusive monitor of energy consumption of residential appliances is described in which sensors, coupled to the power circuits entering a residence, supply analog voltage and current signals which are converted to digital format and processed to detect changes in certain residential load parameters, i.e., admittance. Cluster analysis techniques are employed to group change measurements into certain categories, and logic is applied to identify individual appliances and the energy consumed by each.

  12. Non-intrusive appliance monitor apparatus

    DOE Patents [OSTI]

    Hart, G.W.; Kern, E.C. Jr.; Schweppe, F.C.

    1989-08-15T23:59:59.000Z

    A non-intrusive monitor of energy consumption of residential appliances is described in which sensors, coupled to the power circuits entering a residence, supply analog voltage and current signals which are converted to digital format and processed to detect changes in certain residential load parameters, i.e., admittance. Cluster analysis techniques are employed to group change measurements into certain categories, and logic is applied to identify individual appliances and the energy consumed by each. 9 figs.

  13. DOWNHOLE VIBRATION MONITORING & CONTROL SYSTEM

    SciTech Connect (OSTI)

    Martin E. Cobern

    2004-08-31T23:59:59.000Z

    The deep hard rock drilling environment induces severe vibrations into the drillstring, which can cause reduced rates of penetration (ROP) and premature failure of the equipment. The only current means of controlling vibration under varying conditions is to change either the rotary speed or the weight-on-bit (WOB). These changes often reduce drilling efficiency. Conventional shock subs are useful in some situations, but often exacerbate the problems. The objective of this project is development of a unique system to monitor and control drilling vibrations in a ''smart'' drilling system. This system has two primary elements: (1) The first is an active vibration damper (AVD) to minimize harmful axial, lateral and torsional vibrations. The hardness of this damper will be continuously adjusted using a robust, fast-acting and reliable unique technology. (2) The second is a real-time system to monitor drillstring vibration, and related parameters. This monitor adjusts the damper according to local conditions. In some configurations, it may also send diagnostic information to the surface via real-time telemetry. The AVD is implemented in a configuration using magnetorheological (MR) fluid. By applying a current to the magnetic coils in the damper, the viscosity of the fluid can be changed rapidly, thereby altering the damping coefficient in response to the measured motion of the tool. Phase I of this program entailed modeling and design of the necessary subsystems and design, manufacture and test of a full laboratory prototype. Phase I of the project was completed by the revised end date of May 31, 2004. The objectives of this phase were met, and all prerequisites for Phase II have been completed.

  14. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

    Hong, Tianzhen; Feng, Wei; Lu, Alison; Xia, Jianjun; Yang, Le; Shen, Qi; Im, Piljae; Bhandari, Mahabir

    2013-06-01T23:59:59.000Z

    U.S. and China are the world’s top two economics. Together they consumed one-third of the world’s primary energy. It is an unprecedented opportunity and challenge for governments, researchers and industries in both countries to join together to address energy issues and global climate change. Such joint collaboration has huge potential in creating new jobs in energy technologies and services. Buildings in the US and China consumed about 40% and 25% of the primary energy in both countries in 2010 respectively. Worldwide, the building sector is the largest contributor to the greenhouse gas emission. Better understanding and improving the energy performance of buildings is a critical step towards sustainable development and mitigation of global climate change. This project aimed to develop a standard methodology for building energy data definition, collection, presentation, and analysis; apply the developed methods to a standardized energy monitoring platform, including hardware and software, to collect and analyze building energy use data; and compile offline statistical data and online real-time data in both countries for fully understanding the current status of building energy use. This helps decode the driving forces behind the discrepancy of building energy use between the two countries; identify gaps and deficiencies of current building energy monitoring, data collection, and analysis; and create knowledge and tools to collect and analyze good building energy data to provide valuable and actionable information for key stakeholders.

  15. ORISE: Media Analysis and Monitoring

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

    Media Analysis and Monitoring The Oak Ridge Institute for Science and Education (ORISE) uses comprehensive media analysis and monitoring tools to define media interest and the...

  16. School of Applied Technology School of Applied Technology

    E-Print Network [OSTI]

    Heller, Barbara

    School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean and Academic Director, Information Technology and Management Programs: C. Robert Carlson Director of Operations

  17. School of Applied Technology School of Applied Technology

    E-Print Network [OSTI]

    Heller, Barbara

    School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean Technology and Management Programs: Mazin Safar Director, Marketing & Development: Scott Pfeiffer Director

  18. Federal Radiological Monitoring and Assessment Center Monitoring Manual Volume 2, Radiation Monitoring and Sampling

    SciTech Connect (OSTI)

    NSTec Aerial Measurement Systems

    2012-07-31T23:59:59.000Z

    The FRMAC Monitoring and Sampling Manual, Volume 2 provides standard operating procedures (SOPs) for field radiation monitoring and sample collection activities that are performed by the Monitoring group during a FRMAC response to a radiological emergency.

  19. Multidimensionality of parental monitoring

    E-Print Network [OSTI]

    Secrest, Laura A

    2001-01-01T23:59:59.000Z

    whether the monitoring construct is unitary or multidimensional. The LISREL 8.3 program was used to perform confirmatory factor analyses and structural modeling analyses on the proposed theoretical models. A total of 419 elementary school children...

  20. Body monitoring and imaging apparatus and method

    DOE Patents [OSTI]

    McEwan, T.E.

    1998-06-16T23:59:59.000Z

    A non-acoustic pulse-echo radar monitor is employed in the repetitive mode, whereby a large number of reflected pulses are averaged to produce a voltage that modulates an audio oscillator to produce a tone that corresponds to the heart motion. The antenna used in this monitor generally comprises two flat copper foils, thus permitting the antenna to be housed in a substantially flat housing. The monitor converts the detected voltage to an audible signal with both amplitude modulation and Doppler effect. It further uses a dual time constant to reduce the effect of gross sensor-to-surface movement. The monitor detects the movement of one or more internal body parts, such as the heart, lungs, arteries, and vocal chords, and includes a pulse generator for simultaneously inputting a sequence of pulses to a transmit path and a grating path. The pulses transmitted along the transmit path drive Oh impulse, generator and provide corresponding transmit pulses that are applied to a transmit antenna. The gating path includes a range delay generator which generates timed gating pulses. The timed gating pulses cause the receive path to selectively conduct pulses reflected from the body parts and received by a receive antenna. The monitor output potential can be separated into a cardiac output indicative of the physical movement of the heart, and a pulmonary output indicative of the physical movement of the lung. The impulse generator in the transmit path can be replaced with a pulsed RF generator. 13 figs.

  1. Body monitoring and imaging apparatus and method

    DOE Patents [OSTI]

    McEwan, Thomas E. (Livermore, CA)

    1996-01-01T23:59:59.000Z

    A non-acoustic pulse-echo radar monitor is employed in the repetitive mode, whereby a large number of reflected pulses are averaged to produce a voltage that modulates an audio oscillator to produce a tone that corresponds to the heart motion. The antenna used in this monitor generally comprises two flat copper foils, thus permitting the antenna to be housed in a substantially flat housing. The monitor converts the detected voltage to an audible signal with both amplitude modulation and Doppler effect. It further uses a dual time constant to reduce the effect of gross sensor-to-surface movement. The monitor detects the movement of one or more internal body parts, such as the heart, lungs, arteries, and vocal chords, and includes a pulse generator for simultaneously inputting a sequence of pulses to a transmit path and a gating path. The pulses transmitted along the transmit path drive an impulse generator and provide corresponding transmit pulses that are applied to a transmit antenna. The gating path includes a range delay generator which generates timed gating pulses. The timed gating pulses cause the receive path to selectively conduct pulses reflected from the body parts and received by a receive antenna. The monitor output potential can be separated into a cardiac output indicative of the physical movement of the heart, and a pulmonary output indicative of the physical movement of the lung.

  2. Body monitoring and imaging apparatus and method

    DOE Patents [OSTI]

    McEwan, Thomas E. (Livermore, CA)

    1998-01-01T23:59:59.000Z

    A non-acoustic pulse-echo radar monitor is employed in the repetitive mode, whereby a large number of reflected pulses are averaged to produce a voltage that modulates an audio oscillator to produce a tone that corresponds to the heart motion. The antenna used in this monitor generally comprises two flat copper foils, thus permitting the antenna to be housed in a substantially flat housing. The monitor converts the detected voltage to an audible signal with both amplitude modulation and Doppler effect. It further uses a dual time constant to reduce the effect of gross sensor-to-surface movement. The monitor detects the movement of one or more internal body parts, such as the heart, lungs, arteries, and vocal chords, and includes a pulse generator for simultaneously inputting a sequence of pulses to a transmit path and a grating path. The pulses transmitted along the transmit path drive Oh impulse, generator and provide corresponding transmit pulses that are applied to a transmit antenna. The gating path includes a range delay generator which generates timed gating pulses. The timed gating pulses cause the receive path to selectively conduct pulses reflected from the body parts and received by a receive antenna. The monitor output potential can be separated into a cardiac output indicative of the physical movement of the heart, and a pulmonary output indicative of the physical movement of the lung. The impulse generator in the transmit path can be replaced with a pulsed RF generator.

  3. Body monitoring and imaging apparatus and method

    DOE Patents [OSTI]

    McEwan, T.E.

    1996-11-12T23:59:59.000Z

    A non-acoustic pulse-echo radar monitor is employed in the repetitive mode, whereby a large number of reflected pulses are averaged to produce a voltage that modulates an audio oscillator to produce a tone that corresponds to the heart motion. The antenna used in this monitor generally comprises two flat copper foils, thus permitting the antenna to be housed in a substantially flat housing. The monitor converts the detected voltage to an audible signal with both amplitude modulation and Doppler effect. It further uses a dual time constant to reduce the effect of gross sensor-to-surface movement. The monitor detects the movement of one or more internal body parts, such as the heart, lungs, arteries, and vocal chords, and includes a pulse generator for simultaneously inputting a sequence of pulses to a transmit path and a gating path. The pulses transmitted along the transmit path drive an impulse generator and provide corresponding transmit pulses that are applied to a transmit antenna. The gating path includes a range delay generator which generates timed gating pulses. The timed gating pulses cause the receive path to selectively conduct pulses reflected from the body parts and received by a receive antenna. The monitor output potential can be separated into a cardiac output indicative of the physical movement of the heart, and a pulmonary output indicative of the physical movement of the lung. 12 figs.

  4. Water-Level Monitoring Plan for the Hanford Groundwater Monitoring Project

    SciTech Connect (OSTI)

    D.R. Newcomer; J.P. McDonald; M.A. Chamness

    1999-09-30T23:59:59.000Z

    This document presents the water-level monitoring plan for the Hanford Groundwater Monitoring Project, conducted by the Pacific Northwest National Laboratory (PNNL). Water-level monitoring of the groundwater system beneath the Hanford Site is performed to fulfill the requirements of various state and federal regulations, orders, and agreements. The primary objective of this monitoring is to determine groundwater flow rates and directions. To meet this and other objectives, water-levels are measured annually in monitoring wells completed within the unconfined aquifer system, the upper basalt-confined aquifer system, and in the lower basalt-confined aquifers for surveillance monitoring. At regulated waste units, water levels are taken monthly, quarterly, semi-annually, or annually, depending on the hydrogeologic conditions and regulatory status of a given site. The techniques used to collect water-level data are described in this document along with the factors that affect the quality of the data and the strategies employed by the project to minimize error in the measurement and interpretation of water levels. Well networks are presented for monitoring the unconfined aquifer system, the upper basalt-confined aquifer system, and the lower basalt-confined aquifers, all at a regional scale (surveillance monitoring), as well as the local-scale well networks for each of the regulated waste units studied by this project (regulated-unit monitoring). The criteria used to select wells for water-table monitoring are discussed. It is observed that poor well coverage for surveillance water-table monitoring exists south and west of the 200-West Area, south of the 100-F Area, and east of B Pond and the Treated Effluent Disposal Facility (TEDF). This poor coverage results from a lack of wells suitable for water-table monitoring, and causes uncertainty in representation of the regional water-table in these areas. These deficiencies are regional in scale and apply to regions outside of the operational areas, so these deficiencies do not in anyway reflect on the adequacy of the local-scale well networks used for regulated-unit monitoring. The sediments comprising the unconfined aquifer system have been subdivided into nine hydro-geologic units. The specific hydrogeologic units present within the saturated open interval of each onsite well used for water-level measurements are identified. This was accomplished by geologic interpretation at individual wells combined with extrapolation to nearby wells using a three-dimensional, regional-scale conceptual model of the Hanford Site hydrostratigraphy.

  5. Monitoring Energy Losses

    E-Print Network [OSTI]

    Eulinger, R. D.

    control systems. Older power plants may have nothing but gauges and dials on a control board. Plants such as these are not typically candidates for a performance monitor unless they ere also being considered for a control system upgrade, including a... planned future control system upgrade. With this method, a utility can have the benefits of a performance monitor prior to a major control system upgrade. When the system is finally upgraded, the data logger can be moved to another unit and reused...

  6. Structure function monitor

    DOE Patents [OSTI]

    McGraw, John T. (Placitas, NM); Zimmer, Peter C. (Albuquerque, NM); Ackermann, Mark R. (Albuquerque, NM)

    2012-01-24T23:59:59.000Z

    Methods and apparatus for a structure function monitor provide for generation of parameters characterizing a refractive medium. In an embodiment, a structure function monitor acquires images of a pupil plane and an image plane and, from these images, retrieves the phase over an aperture, unwraps the retrieved phase, and analyzes the unwrapped retrieved phase. In an embodiment, analysis yields atmospheric parameters measured at spatial scales from zero to the diameter of a telescope used to collect light from a source.

  7. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    problems 20 2.3.1 Classes 20 2.3.2 Types of classi cation problems 20 2.3.3 Learning and test sets 21 2Applied inductive learning Louis Wehenkel University of Li`ege Faculty of Applied Sciences Course;#12;APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li#12;ege

  8. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    .3.2 Types of classification problems 20 2.3.3 Learning and test sets 21 2.3.4 Decision or classificationApplied inductive learning Louis Wehenkel University of Liâ??ege Faculty of Applied Sciences Courseâ??e'' #12; #12; APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li

  9. Journal of Applied Ecology 2004

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2004 41, 922­933 © 2004 British Ecological Society Blackwell Publishing-scale, Sacramento River, succession, vegetation Journal of Applied Ecology (2004) 41, 922­933 Introduction More than@ucsc.edu). #12;923 Riparian forest restoration © 2004 British Ecological Society, Journal of Applied Ecology, 41

  10. Journal of Applied Ecology 2002

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2002 39, 960­970 © 2002 British Ecological Society Blackwell Science- tion, succession. Journal of Applied Ecology (2002) 39, 960­970 Introduction Efforts to reclaim@ucsc.edu). #12;961 Vegetation on reclaimed mines © 2002 British Ecological Society, Journal of Applied Ecology

  11. Applying Mathematics.... ... to catch criminals

    E-Print Network [OSTI]

    O'Leary, Michael

    Applying Mathematics.... ... to catch criminals Mike O'Leary Department of Mathematics Towson University Stevenson University Kappa Mu Epsion 2008 Mike O'Leary (Towson University) Applying mathematics Department Mike O'Leary (Towson University) Applying mathematics to catch criminals September 10, 2008 2 / 42

  12. Monitoring: The missing piece

    SciTech Connect (OSTI)

    Bjorkland, Ronald, E-mail: r_bjorkland@hotmail.com

    2013-11-15T23:59:59.000Z

    The U.S. National Environmental Policy Act (NEPA) of 1969 heralded in an era of more robust attention to environmental impacts resulting from larger scale federal projects. The number of other countries that have adopted NEPA's framework is evidence of the appeal of this type of environmental legislation. Mandates to review environmental impacts, identify alternatives, and provide mitigation plans before commencement of the project are at the heart of NEPA. Such project reviews have resulted in the development of a vast number of reports and large volumes of project-specific data that potentially can be used to better understand the components and processes of the natural environment and provide guidance for improved and efficient environmental protection. However, the environmental assessment (EA) or the more robust and intensive environmental impact statement (EIS) that are required for most major projects more frequently than not are developed to satisfy the procedural aspects of the NEPA legislation while they fail to provide the needed guidance for improved decision-making. While NEPA legislation recommends monitoring of project activities, this activity is not mandated, and in those situations where it has been incorporated, the monitoring showed that the EIS was inaccurate in direction and/or magnitude of the impact. Many reviews of NEPA have suggested that monitoring all project phases, from the design through the decommissioning, should be incorporated. Information gathered though a well-developed monitoring program can be managed in databases and benefit not only the specific project but would provide guidance how to better design and implement future activities designed to protect and enhance the natural environment. -- Highlights: • NEPA statutes created profound environmental protection legislative framework. • Contrary to intent, NEPA does not provide for definitive project monitoring. • Robust project monitoring is essential for enhanced environmental management. • Adaptive database framework is needed to accommodate project-monitoring data.

  13. High Performance Network Monitoring

    SciTech Connect (OSTI)

    Martinez, Jesse E [Los Alamos National Laboratory

    2012-08-10T23:59:59.000Z

    Network Monitoring requires a substantial use of data and error analysis to overcome issues with clusters. Zenoss and Splunk help to monitor system log messages that are reporting issues about the clusters to monitoring services. Infiniband infrastructure on a number of clusters upgraded to ibmon2. ibmon2 requires different filters to report errors to system administrators. Focus for this summer is to: (1) Implement ibmon2 filters on monitoring boxes to report system errors to system administrators using Zenoss and Splunk; (2) Modify and improve scripts for monitoring and administrative usage; (3) Learn more about networks including services and maintenance for high performance computing systems; and (4) Gain a life experience working with professionals under real world situations. Filters were created to account for clusters running ibmon2 v1.0.0-1 10 Filters currently implemented for ibmon2 using Python. Filters look for threshold of port counters. Over certain counts, filters report errors to on-call system administrators and modifies grid to show local host with issue.

  14. Photon beam position monitor

    DOE Patents [OSTI]

    Kuzay, T.M.; Shu, D.

    1995-02-07T23:59:59.000Z

    A photon beam position monitor is disclosed for use in the front end of a beamline of a high heat flux and high energy photon source such as a synchrotron radiation storage ring detects and measures the position and, when a pair of such monitors are used in tandem, the slope of a photon beam emanating from an insertion device such as a wiggler or an undulator inserted in the straight sections of the ring. The photon beam position monitor includes a plurality of spaced blades for precisely locating the photon beam, with each blade comprised of chemical vapor deposition (CVD) diamond with an outer metal coating of a photon sensitive metal such as tungsten, molybdenum, etc., which combination emits electrons when a high energy photon beam is incident upon the blade. Two such monitors are contemplated for use in the front end of the beamline, with the two monitors having vertically and horizontally offset detector blades to avoid blade ''shadowing''. Provision is made for aligning the detector blades with the photon beam and limiting detector blade temperature during operation. 18 figs.

  15. Process monitoring in international safeguards for reprocessing plants: A demonstration

    SciTech Connect (OSTI)

    Ehinger, M.H.

    1989-01-01T23:59:59.000Z

    In the period 1985--1987, the Oak Ridge National Laboratory investigated the possible role of process monitoring for international safeguards applications in fuel reprocessing plants. This activity was conducted under Task C.59, ''Review of Process Monitoring Safeguards Technology for Reprocessing Facilities'' of the US program of Technical Assistance to the International Atomic Energy Agency (IAEA) Safeguards program. The final phase was a demonstration of process monitoring applied in a prototypical reprocessing plant test facility at ORNL. This report documents the demonstration and test results. 35 figs.

  16. Wireless Technologies for Structural Wireless Technologies for Structural Health MonitoringHealth Monitoring

    E-Print Network [OSTI]

    Wireless Technologies for Structural Wireless Technologies for Structural Health MonitoringHealth responses · Structural monitoring structural health monitoring: ­ Very few structural "health" monitoring and buildings · Future directions and technology trends Structural Monitoring SystemsStructural Monitoring

  17. Y-12 Groundwater Protection Program Monitoring Well Inspection and Maintenance Plan

    SciTech Connect (OSTI)

    None

    2013-09-01T23:59:59.000Z

    This document is the fourth revision of the Monitoring Well Inspection and Maintenance Plan for groundwater monitoring wells installed at the U.S. Department of Energy (DOE) Y-12 National Security Complex (Y-12) in Oak Ridge, Tennessee. This plan describes the systematic approach for: inspecting the physical condition of monitoring wells at Y-12, determining maintenance needs that extend the life of a well, and identifying those wells that no longer meet acceptable monitoring well design or well construction standards and require plugging and abandonment. This plan applies to groundwater monitoring wells installed at Y-12 and the related waste management facilities located within the three hydrogeologic regimes.

  18. Rack protection monitor

    DOE Patents [OSTI]

    Orr, Stanley G. (Wheaton, IL)

    2000-01-01T23:59:59.000Z

    A hardwired, fail-safe rack protection monitor utilizes electromechanical relays to respond to the detection by condition sensors of abnormal or alarm conditions (such as smoke, temperature, wind or water) that might adversely affect or damage equipment being protected. When the monitor is reset, the monitor is in a detection mode with first and second alarm relay coils energized. If one of the condition sensors detects an abnormal condition, the first alarm relay coil will be de-energized, but the second alarm relay coil will remain energized. This results in both a visual and an audible alarm being activated. If a second alarm condition is detected by another one of the condition sensors while the first condition sensor is still detecting the first alarm condition, both the first alarm relay coil and the second alarm relay coil will be de-energized. With both the first and second alarm relay coils de-energized, both a visual and an audible alarm will be activated. In addition, power to the protected equipment will be terminated and an alarm signal will be transmitted to an alarm central control. The monitor can be housed in a separate enclosure so as to provide an interface between a power supply for the protected equipment and the protected equipment.

  19. INTRODUCTION MONITORING SERVICE

    E-Print Network [OSTI]

    Jantsch, Axel

    , the heat level can be monitored in hotspot regions of the network. This is important for 3D systems consumption per cycle (based on the rate of packet flow) can be measured using the Energy meterC components and a single testbench simulation is performed by reading all input specification. Data samples

  20. A network security monitor

    SciTech Connect (OSTI)

    Heberlein, L.T.; Dias, G.V.; Levitt, K.N.; Mukherjee, B.; Wood, J.; Wolber, D. (California Univ., Davis, CA (USA). Dept. of Electrical Engineering and Computer Science)

    1989-11-01T23:59:59.000Z

    The study of security in computer networks is a rapidly growing area of interest because of the proliferation of networks and the paucity of security measures in most current networks. Since most networks consist of a collection of inter-connected local area networks (LANs), this paper concentrates on the security-related issues in a single broadcast LAN such as Ethernet. Specifically, we formalize various possible network attacks and outline methods of detecting them. Our basic strategy is to develop profiles of usage of network resources and then compare current usage patterns with the historical profile to determine possible security violations. Thus, our work is similar to the host-based intrusion-detection systems such as SRI's IDES. Different from such systems, however, is our use of a hierarchical model to refine the focus of the intrusion-detection mechanism. We also report on the development of our experimental LAN monitor currently under implementation. Several network attacks have been simulated and results on how the monitor has been able to detect these attacks are also analyzed. Initial results demonstrate that many network attacks are detectable with our monitor, although it can surely be defeated. Current work is focusing on the integration of network monitoring with host-based techniques. 20 refs., 2 figs.

  1. APPLIED TECHNOLOGY Strategic Plan Summary

    E-Print Network [OSTI]

    Heller, Barbara

    and collaborative technology-based support for the proposed Innovation Center and the Entrepreneurship Academy. We research centers­CNR, CPI, and CSP. Establish a food safety and processing technology hub/incubator/innovationSCHOOL OF APPLIED TECHNOLOGY Strategic Plan Summary #12;School of Applied Technology Strategic Plan

  2. Wireless device monitoring systems and monitoring devices, and associated methods

    DOE Patents [OSTI]

    McCown, Steven H; Derr, Kurt W; Rohde, Kenneth W

    2014-05-27T23:59:59.000Z

    Wireless device monitoring systems and monitoring devices include a communications module for receiving wireless communications of a wireless device. Processing circuitry is coupled with the communications module and configured to process the wireless communications to determine whether the wireless device is authorized or unauthorized to be present at the monitored area based on identification information of the wireless device. Methods of monitoring for the presence and identity of wireless devices are also provided.

  3. In-line real time air monitor

    DOE Patents [OSTI]

    Wise, Marcus B. (Kingston, TN); Thompson, Cyril V. (Knoxville, TN)

    1998-01-01T23:59:59.000Z

    An in-line gas monitor capable of accurate gas composition analysis in a continuous real time manner even under strong applied vacuum conditions operates by mixing an air sample with helium forming a sample gas in two complementary sample loops embedded in a manifold which includes two pairs of 3-way solenoid valves. The sample gas is then analyzed in an ion trap mass spectrometer on a continuous basis. Two valve drivers actuate the two pairs of 3-way valves in a reciprocating fashion, so that there is always flow through the in-line gas monitor via one or the other of the sample loops. The duty cycle for the two pairs of 3-way valves is varied by tuning the two valve drivers to a duty cycle typically between 0.2 to 0.7 seconds.

  4. In-line real time air monitor

    DOE Patents [OSTI]

    Wise, M.B.; Thompson, C.V.

    1998-07-14T23:59:59.000Z

    An in-line gas monitor capable of accurate gas composition analysis in a continuous real time manner even under strong applied vacuum conditions operates by mixing an air sample with helium forming a sample gas in two complementary sample loops embedded in a manifold which includes two pairs of 3-way solenoid valves. The sample gas is then analyzed in an ion trap mass spectrometer on a continuous basis. Two valve drivers actuate the two pairs of 3-way valves in a reciprocating fashion, so that there is always flow through the in-line gas monitor via one or the other of the sample loops. The duty cycle for the two pairs of 3-way valves is varied by tuning the two valve drivers to a duty cycle typically between 0.2 to 0.7 seconds. 3 figs.

  5. Department of Applied Mathematics Department of Applied Mathematics

    E-Print Network [OSTI]

    Heller, Barbara

    , computational mathematics, discrete applied mathematics, and stochas- tics. More detailed descriptions of Philosophy in Collegiate Mathematics Education (joint program with the Department of Mathematics and Science Education) Research Facilities The department provides students with office space equipped with computers

  6. Rulison Monitoring Plan

    SciTech Connect (OSTI)

    None

    2010-07-01T23:59:59.000Z

    The Project Rulison Monitoring Plan has been developed as part of the U.S. Department of Energy (DOE) Office of Legacy Management's mission to protect human health and the environment. The purpose of the plan is to monitor fluids from gas wells for radionuclides that would indicate contamination is migrating from the Rulison detonation zone to producing gas wells, allowing action to be taken before the contamination could pose a risk. The Monitoring Plan (1) lists the contaminants present and identifies those that have the greatest potential to migrate from the detonation zone (radionuclide source term), (2) identifies locations that monitor the most likely transport pathways, (3) identifies which fluids will be sampled (gas and liquid) and why, (4) establishes the frequency of sampling, and (5) specifies the most practical analyses and where the analysis results will be reported. The plan does not affect the long-term hydrologic sampling conducted by DOE since 1972, which will continue for the purpose of sampling shallow groundwater and surface water near the site. The Monitoring Plan was developed in anticipation of gas wells being drilled progressively nearer the Rulison site. DOE sampled 10 gas wells in 1997 and 2005 at distances ranging from 2.7 to 7.6 miles from the site to establish background concentrations for radionuclides. In a separate effort, gas industry operators and the Colorado Oil and Gas Conservation Commission (COGCC) developed an industry sampling and analysis plan that was implemented in 2007. The industry plan requires the sampling of gas wells within 3 miles of the site, with increased requirements for wells within 1 mile of the site. The DOE plan emphasizes the sampling of wells near the site (Figure 1), specifically those with a bottom-hole location of 1 mile or less from the detonation, depending on the direction relative to the natural fracture trend of the producing formation. Studies indicate that even the most mobile radionuclides created by the test are unlikely to migrate appreciable distances (hundreds of feet) from the detonation zone (Cooper et al. 2007, 2009). The Monitoring Plan was developed to provide a cautious and comprehensive approach for detecting any potential contaminant migration from the Rulison test site. It also provides an independent confirmation of results from the industry sampling and analysis plan while effectively increasing the sampling frequency of wells near the site.

  7. Condition Monitoring System for Reinforced

    E-Print Network [OSTI]

    Painter, Kevin

    containing dissolved ionic species such as chlorides. Since concrete is a porous material, with timeCondition Monitoring System for Reinforced Concrete Structures PROBLEM THIS TECHNOLOGY SOLVES: Patent pending concrete condition monitoring system providing `real-time' information on temperature

  8. Advanced monitoring of machining operations

    E-Print Network [OSTI]

    Teti, Roberto; Jemielniak, Krzysztof; O'Donnell, Garret; Dornfeld, David

    2010-01-01T23:59:59.000Z

    However, the latest modern open control systems allow accesssystems and paradigms In monitoring and control activities for modern

  9. Advanced monitoring of machining operations

    E-Print Network [OSTI]

    Teti, Roberto; Jemielniak, Krzysztof; O'Donnell, Garret; Dornfeld, David

    2010-01-01T23:59:59.000Z

    systems and paradigms In monitoring and control activities for modernHowever, the latest modern open control systems allow access

  10. Structural health monitoring by ultrasonic guided waves

    E-Print Network [OSTI]

    Bartoli, Ivan

    2007-01-01T23:59:59.000Z

    and Viola, E. , “Structural Health Monitoring of Multi-wireEncyclopedia of Structural Health Monitoring, C. Boller, F-D.L. (2001) “Structural health monitoring system based on

  11. Guided wave monitoring of prestressing tendons

    E-Print Network [OSTI]

    Nucera, Claudio

    2010-01-01T23:59:59.000Z

    20] and for structural health monitoring of post-tensionedNDE) and Structural Health Monitoring (SHM) purposes [1].NDE) and the structural health monitoring (SHM) of solids

  12. Effective Health Monitoring Strategies for Complex Structures /

    E-Print Network [OSTI]

    Haynes, Colin Michael

    2014-01-01T23:59:59.000Z

    to Optimization in Structural Health Monitoring, Proc. Worldaxioms of structural health monitoring, Proc. R. Soc. A.the future of structural health monitoring, Phil. Trans. R.

  13. Carbon Storage Monitoring, Verification and Accounting Research...

    Office of Environmental Management (EM)

    Monitoring, Verification and Accounting Research Carbon Storage Monitoring, Verification and Accounting Research Reliable and cost-effective monitoring, verification and accounting...

  14. Sandia Energy - Water Monitoring & Treatment Technology

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

    Water Monitoring & Treatment Technology Home Climate & Earth Systems WaterEnergy Nexus Water Monitoring & Treatment Technology Water Monitoring & Treatment Technologyashoter2015-0...

  15. Total Energy Monitor

    SciTech Connect (OSTI)

    Friedrich, S

    2008-08-11T23:59:59.000Z

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

  16. Corrosion Monitoring System

    SciTech Connect (OSTI)

    Dr. Russ Braunling

    2004-10-31T23:59:59.000Z

    The Corrosion Monitoring System (CMS) program developed and demonstrated a continuously on-line system that provides real-time corrosion information. The program focused on detecting pitting corrosion in its early stages. A new invention called the Intelligent Ultrasonic Probe (IUP) was patented on the program. The IUP uses ultrasonic guided waves to detect small defects and a Synthetic Aperture Focusing Technique (SAFT) algorithm to provide an image of the pits. Testing of the CMS demonstrated the capability to detect pits with dimensionality in the sub-millimeter range. The CMS was tested in both the laboratory and in a pulp and paper industrial plant. The system is capable of monitoring the plant from a remote location using the internet.

  17. Tritium monitoring techniques

    SciTech Connect (OSTI)

    DeVore, J.R.; Buckner, M.A.

    1996-05-01T23:59:59.000Z

    As part of their operations, the U.S. Navy is required to store or maintain operational nuclear weapons on ships and at shore facilities. Since these weapons contain tritium, there are safety implications relevant to the exposure of personnel to tritium. This is particularly important for shipboard operations since these types of environments can make low-level tritium detection difficult. Some of these ships have closed systems, which can result in exposure to tritium at levels that are below normally acceptable levels but could still cause radiation doses that are higher than necessary or could hamper ship operations. This report describes the state of the art in commercial tritium detection and monitoring and recommends approaches for low-level tritium monitoring in these environments.

  18. Cycle isolation monitoring

    SciTech Connect (OSTI)

    Svensen, L.M. III; Zeigler, J.R.; Todd, F.D.; Alder, G.C. [Santee Copper, Moncks Corner, SC (United States)

    2009-07-15T23:59:59.000Z

    There are many factors to monitor in power plants, but one that is frequently overlooked is cycle isolation. Often this is an area where plant personnel can find 'low hanging fruit' with great return on investment, especially high energy valve leakage. This type of leakage leads to increased heat rate, potential valve damage and lost generation. The fundamental question to ask is 'What is 100 Btu/kW-hr of heat rate worth to your plant? On a 600 MW coal-fired power plant, a 1% leakage can lead to an 81 Btu/kW-hr impact on the main steam cycle and a 64 Btu/kW-hr impact on the hot reheat cycle. The article gives advice on methods to assist in detecting leaking valves and to monitor cycle isolation. A software product, TP. Plus-CIM was designed to estimate flow rates of potentially leaking valves.

  19. Texas Rangeland Monitoring: Level Three

    E-Print Network [OSTI]

    Hanselka, C. Wayne; Hart, Charles R.; McGinty, Allan

    2006-10-09T23:59:59.000Z

    L-5455 10/06 Texas Rangeland Monitoring: Level Three C. Wayne Hanselka, Charles R. Hart and Allan McGinty* Monitoring is an essential tool in rangeland management. Monitoring is the way to determine whether goals are being achieved with current...

  20. Beatty Wind Monitoring Project

    SciTech Connect (OSTI)

    Hurt, Rick

    2009-06-01T23:59:59.000Z

    The UNLV Center for Energy Research (CER) and Valley Electric Association (VEA) worked with Kitty Shubert of the Beatty Economic Redevelopment Corporation (BERC) to install two wind monitoring stations outside the town of Beatty, Nevada. The following is a description of the two sites. The information for a proposed third site is also shown. The sites were selected from previous work by the BERC and Idaho National Laboratory. The equipment was provided by the BERC and installed by researchers from the UNLV CER.

  1. Scalable Node Monitoring

    SciTech Connect (OSTI)

    Drotar, Alexander P. [Los Alamos National Laboratory; Quinn, Erin E. [Los Alamos National Laboratory; Sutherland, Landon D. [Los Alamos National Laboratory

    2012-07-30T23:59:59.000Z

    Project description is: (1) Build a high performance computer; and (2) Create a tool to monitor node applications in Component Based Tool Framework (CBTF) using code from Lightweight Data Metric Service (LDMS). The importance of this project is that: (1) there is a need a scalable, parallel tool to monitor nodes on clusters; and (2) New LDMS plugins need to be able to be easily added to tool. CBTF stands for Component Based Tool Framework. It's scalable and adjusts to different topologies automatically. It uses MRNet (Multicast/Reduction Network) mechanism for information transport. CBTF is flexible and general enough to be used for any tool that needs to do a task on many nodes. Its components are reusable and 'EASILY' added to a new tool. There are three levels of CBTF: (1) frontend node - interacts with users; (2) filter nodes - filters or concatenates information from backend nodes; and (3) backend nodes - where the actual work of the tool is done. LDMS stands for lightweight data metric servies. It's a tool used for monitoring nodes. Ltool is the name of the tool we derived from LDMS. It's dynamically linked and includes the following components: Vmstat, Meminfo, Procinterrupts and more. It works by: Ltool command is run on the frontend node; Ltool collects information from the backend nodes; backend nodes send information to the filter nodes; and filter nodes concatenate information and send to a database on the front end node. Ltool is a useful tool when it comes to monitoring nodes on a cluster because the overhead involved with running the tool is not particularly high and it will automatically scale to any size cluster.

  2. Scintillator spent fuel monitor

    SciTech Connect (OSTI)

    Moss, C.E.; Nixon, K.V.; Bernard, W.

    1980-01-01T23:59:59.000Z

    A monitor for rapidly measuring the gross gamma-ray flux immediately above spent fuel assemblies in underwater storage racks has been developed. It consists of a plastic scintillator, photomultiplier, collimator, and a small battery-powered electronics package. The crosstalk from an isolated fuel assembly to an adjacent void is only about 2%. The mean difference between the measured gamma-ray flux and the flux estimated from the declared burnup and cooling time with a simple formula is 22%.

  3. Quality Assurance Program Plan for radionuclide airborne emissions monitoring

    SciTech Connect (OSTI)

    Vance, L.M.

    1993-07-01T23:59:59.000Z

    This Quality Assurance Program Plan (QAPP) describes the quality assurance requirements and responsibilities for radioactive airborne emissions measurements activities from regulated stacks are controlled at the Hanford Site. Detailed monitoring requirements apply to stacks exceeding 1% of the standard of 10 mrem annual effective dose equivalent to the maximally exposed individual from operations of the Hanford Site.

  4. Modeling applied to problem solving

    E-Print Network [OSTI]

    Pawl, Andrew

    We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...

  5. IIT SCHOOL OF APPLIED TECHNOLOGY

    E-Print Network [OSTI]

    Heller, Barbara

    INDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY PREPARING SKILLED INDIVIDUALS, INDUSTRIAL FACILITIES, SUPPLY CHAIN MANAGEMENT, SUSTAINABILITY AND MANUFACTURING TECHNOLOGY. #12;BE ONE to assess, implement, and utilize current technologies, and to learn how to manage industrial operations

  6. Sustainable FACULTY OF APPLIED SCIENCE

    E-Print Network [OSTI]

    Michelson, David G.

    Working Together Towards a Sustainable Energy Future FACULTY OF APPLIED SCIENCE Clean Energy aspects of sustainable energy solutions, and is committed to using its extensive expertise to serve, Electrical & Computer, Materials, Mechanical, Mining), the School of Architecture & Landscape Architecture

  7. Permit compliance monitoring for the power generation industry

    SciTech Connect (OSTI)

    Macak, J.J. III [Mostardi-Platt Associates, Inc., Elmhurst, IL (United States); Platt, T.B. [Commonwealth Edison Company, Waukegan, IL (United States); Miller, S.B. [Commonwealth Edison Company, Chicago, IL (United States)

    1996-12-31T23:59:59.000Z

    The Clean Air Act Amendments (CAAA) of 1990 authorized EPA to develop regulations requiring facilities to monitor the adequacy of emission control equipment and plant operations. Furthermore, under the CAAA, EPA is required to issue regulations to require owners and operators of large industrial facilities to enhance air pollution monitoring and certify compliance with air pollution regulations. The fossil-fueled power generation industry has been targeted with the promulgation of the Acid Rain Program regulations of 40 CFR 72, and the Continuous Emissions Monitoring requirements of 40 CFR 75. The Part 75 regulations, with a few exceptions, establish requirements for monitoring, recordkeeping, and reporting of sulfur dioxide, nitrogen oxides, and carbon dioxide emissions, volumetric flow, and opacity data from affected units under the Acid Rain Program. Depending upon the type of unit and location, other applicable emission limitations may apply for particulate emissions (both total and PM-10), carbon monoxide, volatile organic compounds and sulfuric acid mist.

  8. FAST-RESPONSE ISOTOPIC ALPHA CONTINUOUS AIR MONITOR (CAM)

    SciTech Connect (OSTI)

    Keith D. Patch

    2000-04-28T23:59:59.000Z

    The objective of this effort is to develop and test a novel Continuous Air Monitor (CAM) instrument for monitoring alpha-emitting radionuclides, using a technology that can be applied to Continuous Emission Monitoring (CEM) of thermal treatment system off gas streams. The CAM instrument will have very high alpha spectral resolution and provide real-time, on-line monitoring suitable for alerting workers of high concentrations of alpha-emitting radionuclides in the ambient air and for improved control of decontamination, dismantlement, and air emission control equipment. Base Phase I involves the design, development, and preliminary testing of a laboratory-scale instrument. Testing will initially be conducted using naturally-occurring radon progeny in ambient air. In the Optional Phase II, the Base Phase I instrument will be critically evaluated at the Lovelace Respiratory Research Institute (LRRI) with characterized plutonium aerosols; then an improved instrument will be built and field-tested at a suitable DOE site.

  9. CX-009420: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Additive Manufacturing Using EOSINT M280 CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  10. CX-009418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Electron Beam Melting CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  11. CX-010574: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Applied Materials - Kerf-less Crystaline-Silicon Photovoltaic: Gas to Modules CX(s) Applied: B3.6 Date: 05162013 Location(s): California,...

  12. CX-009419: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Magnetic Pulser CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  13. Constraining Orbital Parameters Through Planetary Transit Monitoring

    E-Print Network [OSTI]

    Stephen R. Kane; Kaspar von Braun

    2008-08-13T23:59:59.000Z

    The orbital parameters of extra-solar planets have a significant impact on the probability that the planet will transit the host star. This was recently demonstrated by the transit detection of HD 17156b whose favourable eccentricity and argument of periastron dramatically increased its transit likelihood. We present a study which provides a quantitative analysis of how these two orbital parameters affect the geometric transit probability as a function of period. Further, we apply these results to known radial velocity planets and show that there are unexpectedly high transit probabilities for planets at relatively long periods. For a photometric monitoring campaign which aims to determine if the planet indeed transits, we calculate the expected transiting planet yield and the significance of a potential null result, as well as the subsequent constraints that may be applied to orbital parameters.

  14. Portal monitoring technology control process

    SciTech Connect (OSTI)

    York, R.L.

    1998-12-31T23:59:59.000Z

    Portal monitors are an important part of the material protection, control, and accounting (MPC and A) programs in Russia and the US. Although portal monitors are only a part of an integrated MPC and A system, they are an effective means of controlling the unauthorized movement of special nuclear material (SNM). Russian technical experts have gained experience in the use of SNM portal monitors from US experts ad this has allowed them to use the monitors more effectively. Several Russian institutes and companies are designing and manufacturing SNM portal monitors in Russia. Interactions between Russian and US experts have resulted in improvements to the instruments. SNM portal monitor technology has been effectively transferred from the US to Russia and should be a permanent part of the Russian MPC and A Program. Progress in the implementation of the monitors and improvements to how they are used are discussed.

  15. Lithium niobate explosion monitor

    DOE Patents [OSTI]

    Bundy, Charles H. (Clearwater, FL); Graham, Robert A. (Los Lunas, NM); Kuehn, Stephen F. (Albuquerque, NM); Precit, Richard R. (Albuquerque, NM); Rogers, Michael S. (Albuquerque, NM)

    1990-01-01T23:59:59.000Z

    Monitoring explosive devices is accomplished with a substantially z-cut lithium niobate crystal in abutment with the explosive device. Upon impact by a shock wave from detonation of the explosive device, the crystal emits a current pulse prior to destruction of the crystal. The current pulse is detected by a current viewing transformer and recorded as a function of time in nanoseconds. In order to self-check the crystal, the crystal has a chromium film resistor deposited thereon which may be heated by a current pulse prior to detonation. This generates a charge which is detected by a charge amplifier.

  16. Personal continuous air monitor

    DOE Patents [OSTI]

    Morgan, Ronald G. (Los Alamos, NM); Salazar, Samuel A. (Albuquerque, NM)

    2000-01-01T23:59:59.000Z

    A personal continuous air monitor capable of giving immediate warning of the presence of radioactivity has a filter/detector head to be worn in the breathing zone of a user, containing a filter mounted adjacent to radiation detectors, and a preamplifier. The filter/detector head is connected to a belt pack to be worn at the waist or on the back of a user. The belt pack contains a signal processor, batteries, a multichannel analyzer, a logic circuit, and an alarm. An air pump also is provided in the belt pack for pulling air through the filter/detector head by way of an air tube.

  17. Optical wet steam monitor

    DOE Patents [OSTI]

    Maxey, L.C.; Simpson, M.L.

    1995-01-17T23:59:59.000Z

    A wet steam monitor determines steam particle size by using laser doppler velocimeter (LDV) device to produce backscatter light. The backscatter light signal is processed with a spectrum analyzer to produce a visibility waveform in the frequency domain. The visibility waveform includes a primary peak and a plurality of sidebands. The bandwidth of at least the primary frequency peak is correlated to particle size by either visually comparing the bandwidth to those of known particle sizes, or by digitizing the waveform and comparing the waveforms electronically. 4 figures.

  18. Monitoring of tritium

    DOE Patents [OSTI]

    Corbett, James A. (Turtle Creek, PA); Meacham, Sterling A. (Greensburg, PA)

    1981-01-01T23:59:59.000Z

    The fluid from a breeder nuclear reactor, which may be the sodium cooling fluid or the helium reactor-cover-gas, or the helium coolant of a gas-cooled reactor passes over the portion of the enclosure of a gaseous discharge device which is permeable to hydrogen and its isotopes. The tritium diffused into the discharge device is radioactive producing beta rays which ionize the gas (argon) in the discharge device. The tritium is monitored by measuring the ionization current produced when the sodium phase and the gas phase of the hydrogen isotopes within the enclosure are in equilibrium.

  19. Milliwave melter monitoring system

    DOE Patents [OSTI]

    Daniel, William E. (North Augusta, SC); Woskov, Paul P. (Bedford, MA); Sundaram, Shanmugavelayutham K. (Richland, WA)

    2011-08-16T23:59:59.000Z

    A milliwave melter monitoring system is presented that has a waveguide with a portion capable of contacting a molten material in a melter for use in measuring one or more properties of the molten material in a furnace under extreme environments. A receiver is configured for use in obtaining signals from the melt/material transmitted to appropriate electronics through the waveguide. The receiver is configured for receiving signals from the waveguide when contacting the molten material for use in determining the viscosity of the molten material. Other embodiments exist in which the temperature, emissivity, viscosity and other properties of the molten material are measured.

  20. Monitoring international nuclear activity

    SciTech Connect (OSTI)

    Firestone, R.B.

    2006-05-19T23:59:59.000Z

    The LBNL Table of Isotopes website provides primary nuclearinformation to>150,000 different users annually. We have developedthe covert technology to identify users by IP address and country todetermine the kinds of nuclear information they are retrieving. Wepropose to develop pattern recognition software to provide an earlywarning system to identify Unusual nuclear activity by country or regionSpecific nuclear/radioactive material interests We have monitored nuclearinformation for over two years and provide this information to the FBIand LLNL. Intelligence is gleaned from the website log files. Thisproposal would expand our reporting capabilities.

  1. Optical wet steam monitor

    DOE Patents [OSTI]

    Maxey, Lonnie C. (Powell, TN); Simpson, Marc L. (Knoxville, TN)

    1995-01-01T23:59:59.000Z

    A wet steam monitor determines steam particle size by using laser doppler velocimeter (LDV) device to produce backscatter light. The backscatter light signal is processed with a spectrum analyzer to produce a visibility waveform in the frequency domain. The visibility waveform includes a primary peak and a plurality of sidebands. The bandwidth of at least the primary frequency peak is correlated to particle size by either visually comparing the bandwidth to those of known particle sizes, or by digitizing the waveform and comparing the waveforms electronically.

  2. Sandia Energy - Monitoring

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution Grid Integration Permalink Gallery MesaMonitoring Home Carbon

  3. Sandia Energy - Monitoring 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol Home Distribution Grid Integration Permalink Gallery MesaMonitoring Home

  4. WIPP Documents - Environmental Monitoring

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEureka AnalyticsLarge file sizeMonitoring

  5. Monitoring 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTIONES2008-54174 This manuscript hasMonitoring

  6. Monitoring Jobs on Hopper

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTIONES2008-54174 This manuscriptMonitoring Jobs

  7. Monitoring jobs with qs

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTIONES2008-54174 This manuscriptMonitoringJobs »

  8. Monitoring your job

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTIONES2008-54174 This manuscriptMonitoringJobs

  9. Pseudo-interactive monitoring in distributed computing

    SciTech Connect (OSTI)

    Sfiligoi, I.; /Fermilab; Bradley, D.; Livny, M.; /Wisconsin U., Madison

    2009-05-01T23:59:59.000Z

    Distributed computing, and in particular Grid computing, enables physicists to use thousands of CPU days worth of computing every day, by submitting thousands of compute jobs. Unfortunately, a small fraction of such jobs regularly fail; the reasons vary from disk and network problems to bugs in the user code. A subset of these failures result in jobs being stuck for long periods of time. In order to debug such failures, interactive monitoring is highly desirable; users need to browse through the job log files and check the status of the running processes. Batch systems typically don't provide such services; at best, users get job logs at job termination, and even this may not be possible if the job is stuck in an infinite loop. In this paper we present a novel approach of using regular batch system capabilities of Condor to enable users to access the logs and processes of any running job. This does not provide true interactive access, so commands like vi are not viable, but it does allow operations like ls, cat, top, ps, lsof, netstat and dumping the stack of any process owned by the user; we call this pseudo-interactive monitoring. It is worth noting that the same method can be used to monitor Grid jobs in a glidein-based environment. We further believe that the same mechanism could be applied to many other batch systems.

  10. Suncatcher monitoring project

    SciTech Connect (OSTI)

    Maeda, B.

    1980-01-01T23:59:59.000Z

    An intensive microcomputer-based energy monitoring project was conducted on a passively heated and cooled residence in Davis, California. The building performance was estimated in the design phase by both a simplified method and an hourly simulation. In the monitoring phase, more than 75 sensors, located in the building elements, interior spaces, appliances, and the ambient environment provide data about temperatures, energy use and radiation. These data are used to determine the actual solar system contributions, and to validate and improve design calculation tools. Information was gathered on the Suncatcher system for almost three years. Daily min/max temperatures inside and outside of the house and utility use have been reduced and analyzed. From these data we calculate the monthly net heating load and the percentage of that met by solar energy. To date, it has averaged 71%. Hourly data, gathered by the custom-made data acquisition system, show how daily temperature and radiation patterns change. Natural cooling supplied 100% of the cooling need. During the hot summers typical of the Davis area, the house has remained very comfortable virtually all of the time, except for two or three afternoons each summer, where temperatures reached a stuffy 83 or 84F. The other solar energy source, the solar hot water system, has provided 50 to 60% of the hot water needed by the residents, who use less domestic hot water than average.

  11. Flow cytometer jet monitor system

    DOE Patents [OSTI]

    Van den Engh, Ger (Seattle, WA)

    1997-01-01T23:59:59.000Z

    A direct jet monitor illuminates the jet of a flow cytometer in a monitor wavelength band which is substantially separate from the substance wavelength band. When a laser is used to cause fluorescence of the substance, it may be appropriate to use an infrared source to illuminate the jet and thus optically monitor the conditions within the jet through a CCD camera or the like. This optical monitoring may be provided to some type of controller or feedback system which automatically changes either the horizontal location of the jet, the point at which droplet separation occurs, or some other condition within the jet in order to maintain optimum conditions. The direct jet monitor may be operated simultaneously with the substance property sensing and analysis system so that continuous monitoring may be achieved without interfering with the substance data gathering and may be configured so as to allow the front of the analysis or free fall area to be unobstructed during processing.

  12. APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING

    E-Print Network [OSTI]

    Rogina, Mladen

    APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING Brijuni, Croatia June 23{27, 2003. y x Runge's example; Organized by: Department of Mathematics, Unversity of Zagreb, Croatia. Miljenko Maru#20;si#19;c, chairman;simir Veseli#19;c Andro Mikeli#19;c Sponsors: Ministry of Science and Technology, Croatia, CV Sistemi d

  13. Applied Sustainability Political Science 319

    E-Print Network [OSTI]

    Young, Paul Thomas

    1 Applied Sustainability Political Science 319 College of Charleston Spring 2013 Day/Time: TH 1 Address: fisherb@cofc.edu Office: 284 King Street, #206 (Office of Sustainability) Office Hours: by appt sustainability. It will focus on the development of semester-long sustainability projects, from conception

  14. California Energy Commission Apply Today!

    E-Print Network [OSTI]

    including HVAC and thermal energy storage system upgrades, stadium light conversion and a microturbineCalifornia Energy Commission Apply Today! "The College implemented all of the recommended projects Programs Office (916) 654-4147 pubprog@energy.state.ca.us "CEC financing allowed us to install many

  15. implementing bioenergy applied research & development

    E-Print Network [OSTI]

    Northern British Columbia, University of

    1 A Northern Centre for Renewable Energy implementing bioenergy applied research & development to develop local solutions to these challenges by integrating campus operations, education, and research will help the University meet its current and future energy needs, reduce or eliminate our greenhouse gas

  16. An optimized international vehicle monitor

    SciTech Connect (OSTI)

    York, R.L.; Close, D.A.; Fehlau, P.E.

    1997-03-01T23:59:59.000Z

    The security plans for many DOE facilities require the monitoring of pedestrians and vehicles to control the movement of special nuclear material (SNM). Vehicle monitors often provide the outer-most barrier against the theft of SNM. Automatic monitors determine the presence of SNM by comparing the gamma-ray and neutron intensity while occupied, to the continuously updated background radiation level which is measured while the unit is unoccupied. The most important factors in choosing automatic vehicle monitors are sensitivity, cost and in high traffic applications total monitoring time. The two types of automatic vehicle monitors presently in use are the vehicle monitoring station and the drive-through vehicle monitor. These two types have dramatically different cost and sensitivities. The vehicle monitoring station has a worst-case detection sensitivity of 40 g of highly enriched uranium, HEU, and a cost approximately $180k. This type of monitor is very difficult to install and can only be used in low traffic flow locations. The drive-through vehicle portal has a worst-case detection sensitivity of 1 kg of HEU and a cost approximately $20k. The world`s political situation has created a pressing need to prevent the diversion of SNM from FSU nuclear facilities and across international borders. Drive-through vehicle monitors would be an effective and practical nuclear material proliferation deterrent if their sensitivity can be improved to a sufficient level. The goal of this project is to evaluate different detector configurations as a means of improving the sensitivity of these instruments to achieve a vehicle monitor that is economical, practical to install, and has adequate sensitivity to be an effective barrier to illegal transportation of SNM.

  17. Enhanced safeguards via solution monitoring

    SciTech Connect (OSTI)

    Burr, T.; Wangen, L.

    1996-09-01T23:59:59.000Z

    Solution monitoring is defined as the essentially continuous monitoring of solution level, density, and temperature in all tanks in the process that contain, or could contain, safeguards-significant quantities of nuclear material. This report describes some of the enhancements that solution monitoring could make to international safeguards. The focus is on the quantifiable benefits of solution monitoring, but qualitatively, solution monitoring can be viewed as a form of surveillance. Quantitatively, solution monitoring can in some cases improve diversion detection probability. For example, the authors show that under certain assumptions, solution monitoring can be used to reduce the standard deviation of the annual material balance, {sigma}{sub MB}, from approximately 17 kg to approximately 4 kg. Such reduction in {sigma}{sub MB} will not always be possible, as they discuss. However, in all cases, solution monitoring would provide assurance that the measurement error models are adequate so that one has confidence in his estimate of {sigma}{sub MB}. Some of the results in this report were generated using data that were simulated with prototype solution monitoring software that they are developing. An accompanying document describes that software.

  18. Monitoring SERC Technologies — Solar Photovoltaics

    Broader source: Energy.gov [DOE]

    A webinar by National Renewable Energy Laboratory's Market Transformation Center electrical engineer Peter McNutt about Solar Photovoltaics and how to properly monitor its installation.

  19. Well Monitoring System for EGS

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

    Peer Review Well Monitoring Systems for EGS Principal Investigator Randy Normann Perma Works LLC May 19, 2010 This presentation does not contain any proprietary confidential, or...

  20. Annual Monitoring Results A REPORT OF THE REGIONAL MONITORING PROGRAM

    E-Print Network [OSTI]

    Grainsize 33 Total Organic Carbon (TOC) and Total Nitrogen (TN)33 Trace Metals34 Trace Organics34 Quality Assurance / Quality Control (QA/QC) 37 QA/QC of Percent Solids37 QA/QC of Grain Size 37 QA/QC of TotalAnnual Monitoring Results 2012 A REPORT OF THE REGIONAL MONITORING PROGRAM FOR WATER QUALITY

  1. Electron launching voltage monitor

    DOE Patents [OSTI]

    Mendel, C.W.; Savage, M.E.

    1992-03-17T23:59:59.000Z

    An electron launching voltage monitor measures MITL voltage using a relationship between anode electric field and electron current launched from a cathode-mounted perturbation. An electron launching probe extends through and is spaced from the edge of an opening in a first MITL conductor, one end of the launching probe being in the gap between the MITL conductor, the other end being adjacent a first side of the first conductor away from the second conductor. A housing surrounds the launching probe and electrically connects the first side of the first conductor to the other end of the launching probe. A detector detects the current passing through the housing to the launching probe, the detected current being representative of the voltage between the conductors. 5 figs.

  2. Cylinder monitoring program

    SciTech Connect (OSTI)

    Alderson, J.H. [Martin Marietta Energy Systems, Inc., Paducah, KY (United States)

    1991-12-31T23:59:59.000Z

    Cylinders containing depleted uranium hexafluoride (UF{sub 6}) in storage at the Department of Energy (DOE) gaseous diffusion plants, managed by Martin Marietta Energy Systems, Inc., are being evaluated to determine their expected storage life. Cylinders evaluated recently have been in storage service for 30 to 40 years. In the present environment, the remaining life for these storage cylinders is estimated to be 30 years or greater. The group of cylinders involved in recent tests will continue to be monitored on a periodic basis, and other storage cylinders will be observed as on a statistical sample population. The program has been extended to all types of large capacity UF{sub 6} cylinders.

  3. Groundwater monitoring system

    DOE Patents [OSTI]

    Ames, Kenneth R. (Pasco, WA); Doesburg, James M. (Richland, WA); Eschbach, Eugene A. (Richland, WA); Kelley, Roy C. (Kennewick, WA); Myers, David A. (Richland, WA)

    1987-01-01T23:59:59.000Z

    A groundwater monitoring system includes a bore, a well casing within and spaced from the bore, and a pump within the casing. A water impermeable seal between the bore and the well casing prevents surface contamination from entering the pump. Above the ground surface is a removable operating means which is connected to the pump piston by a flexible cord. A protective casing extends above ground and has a removable cover. After a groundwater sample has been taken, the cord is disconnected from the operating means. The operating means is removed for taking away, the cord is placed within the protective casing, and the cover closed and locked. The system is thus protected from contamination, as well as from damage by accident or vandalism.

  4. Steam trap monitor

    DOE Patents [OSTI]

    Ryan, M.J.

    1987-05-04T23:59:59.000Z

    A steam trap monitor positioned downstream of a steam trap in a closed steam system includes a first sensor (a hot finger) for measuring the energy of condensate and a second sensor (a cold finger) for measuring the total energy of condensate and steam in the line. The hot finger includes one or more thermocouples for detecting condensate level and energy, while the cold finger contains a liquid with a lower boiling temperature than that of water. Vapor pressure from the liquid is used to do work such as displacing a piston or bellow in providing an indication of total energy (steam + condensate) of the system. Processing means coupled to and responsive to outputs from the hot and cold fingers subtracts the former from the latter to provide an indication of the presence of steam downstream from the trap indicating that the steam trap is malfunctioning. 2 figs.

  5. Clark county monitoring program

    SciTech Connect (OSTI)

    Conway, Sheila [Urban Environmental Research, 10100 W. Charleston Boulevard Las Vegas, 89135 (United States); Auger, Jeremy [Applied Analysis, 10100 West Charleston Blvd, Suite 200, Las Vegas, Nevada 89135 (United States); Navies, Irene [Clark County, Department of Comprehensive Planning, Las Vegas, NV (United States)

    2007-07-01T23:59:59.000Z

    Available in abstract form only. Full text of publication follows: Since 1988, Clark County has been one of the counties designated by the United States Department of Energy (DOE) as an 'Affected Unit of Local Government' (AULG). The AULG designation is an acknowledgement by the federal government that could be negatively impacted to a considerable degree by activities associated with the Yucca Mountain High Level Nuclear Waste Repository. These negative effects would have an impact on residents as individuals and the community as a whole. As an AULG, Clark County is authorized to identify 'any potential economic, social, public health and safety, and environmental impacts' of the potential repository (42 USC Section 10135(C)(1)(B)(1)). Toward this end, Clark County has conducted numerous studies of potential impacts, many of which are summarized in the Clark County's Impact Assessment Report that was submitted by the DOE and the president of the United States in February 2002. Given the unprecedented magnitude and duration of the DoE's proposal, as well as the many unanswered questions about the number of shipments and the modal mix, the estimate of impacts described in these studies are preliminary. In order to refine these estimates, Clark County Comprehensive Planning Department's Nuclear Waste Division is continuing to assess potential impacts. In addition, the County has implemented a Monitoring Program designed to capture changes to the social, environmental, and economic well-being of its residents resulting from the Yucca Mountain project and other significant events within the County. The Monitoring Program acts as an 'early warning system' that allows Clark County decision makers to proactive respond to impacts from the Yucca Mountain Project. (authors)

  6. Successes in School Energy Management - Energy Monitoring

    E-Print Network [OSTI]

    Corbitt, C.

    2012-01-01T23:59:59.000Z

    Successes in School Energy Management ? Energy Monitoring Chad Corbitt, CEM, ATEM Energy Manager, Klein ISD jcorbitt1@kleinisd.net Wednesday, October 10, 2012 Keys to Energy Monitoring ? Develop an Energy Monitoring plan ? Define... the why, what, how and who of the plan ? Implement the Energy Monitoring plan ? Personnel, data system, reporting ? One Experience in Energy Monitoring Developing an Energy Monitoring Plan ? Why do we need to monitor energy? ? What information...

  7. INTERIM REPORT ON CONCRETE DEGRADATION MECHANISMS AND ONLINE MONITORING TECHNIQUES

    SciTech Connect (OSTI)

    Mahadevan, Sankaran; Agarwal, Vivek; Neal, Kyle; Kosson, David; Adams, Douglas

    2014-09-01T23:59:59.000Z

    The existing fleets of nuclear power plants in the United States have initial operating licenses of 40 years, though most these plants have applied for and received license extensions. As plant structures, systems, and components age, their useful life—considering both structural integrity and performance—is reduced as a result of deterioration of the materials. The online monitoring of concrete structure conducted under the Advanced Instrumentation, Information, and Control Technologies Pathway of the Light Water Reactor Sustainability program at Idaho National Laboratory will develop and demonstrate concrete structures health monitoring capabilities. Assessment and management of aging concrete structures in nuclear plants require a more systematic approach than simple reliance on existing code margins of safety. Therefore, the structural health monitoring is required to produce actionable information regarding structural integrity that supports operational and maintenance decisions. Through this research project, several national laboratories and Vanderbilt University proposes to develop a framework of research activities for the health monitoring of nuclear power plant concrete structures that includes integration of four elements—damage modeling, monitoring, data analytics, and uncertainty quantification. This report briefly discusses available techniques and ongoing challenges in each of the four elements of the proposed framework with emphasis on degradation mechanisms and online monitoring techniques.

  8. Environmental Monitoring Plan, Revision 6

    SciTech Connect (OSTI)

    Gallegos, G M; Bertoldo, N A; Blake, R G; Campbell, C G; Grayson, A R; Nelson, J C; Revelli, M A; Rosene, C A; Wegrecki, T; Williams, R A; Wilson, K R; Jones, H E

    2012-03-02T23:59:59.000Z

    The purpose of environmental monitoring is to promote the early identification of, and response to, potential adverse environmental impacts associated with Lawrence Livermore National Laboratory (LLNL) operations. Environmental monitoring supports the Integrated Safety Management System (ISMS), International Organization for Standardization (ISO) 14001 Environmental Management Systems standard, and U. S. Department of Energy (DOE) Order 458.1, Radiation Protection of the Public and the Environment. Specifically, environmental monitoring enables LLNL to detect, characterize, and respond to releases from LLNL activities; assess impacts; estimate dispersal patterns in the environment; characterize the pathways of exposure to members of the public; characterize the exposures and doses to individuals and to the population; and to evaluate the potential impacts to the biota in the vicinity of LLNL. Environmental monitoring is also a major component of compliance demonstration for permits and other regulatory requirements. The Environmental Monitoring Plan (EMP) addresses the sample collection and analytical work supporting environmental monitoring to ensure the following: (1) A consistent system for collecting, assessing, and documenting environmental data of known and documented quality; (2) A validated and consistent approach for sampling and analysis of samples to ensure laboratory data meets program-specific needs and requirements within the framework of a performance-based approach for analytical laboratory work; and (3) An integrated sampling approach to avoid duplicative data collection. LLNL prepares the EMP because it provides an organizational framework for ensuring that environmental monitoring work, which is integral to the implementation of LLNL's Environmental Management System, is conducted appropriately. Furthermore, the Environmental Monitoring Plan helps LLNL ensure compliance with DOE Order 231.1 Change 2, Environment, Safety and Health Reporting, which require the publication of an annual report that characterizes the site's environmental management performance. To summarize, the general regulatory drivers for this environmental monitoring plan are ISO 14001, DOE Order 458.1, and DOE Order 231.1. The environmental monitoring addressed by this plan includes preoperational characterization and assessment, effluent and surveillance monitoring, and permit and regulatory compliance monitoring. Additional environmental monitoring is conducted at LLNL as part of compliance with the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA, also known as Superfund). LLNL coordinates its ground water surveillance monitoring program with the CERCLA monitoring program to gain sampling efficiencies.

  9. Establishment of a Background Environmental Monitoring Station for the PNNL Campus

    SciTech Connect (OSTI)

    Fritz, Brad G.; Snyder, Sandra F.; Barnett, J. M.; Bisping, Lynn E.; Rishel, Jeremy P.

    2014-12-18T23:59:59.000Z

    The environmental surveillance of background levels of radionuclides and, in particular, the siting of a background environmental surveillance (monitoring) station are examined. Many published works identify and stress the need for background monitoring; however, little definitive and comprehensive information for siting a station exists. A definition of an ideal background monitoring location and the generic criteria recommended for use in establishing such a background monitoring location are proposed. There are seven primary (mandatory) criteria described with two additional, optional criteria. The criteria are applied to the Richland, Washington (WA), Pacific Northwest National Laboratory (PNNL) Campus, which currently uses background monitoring data from the nearby Hanford Site. Eleven potential background monitoring sites were identified, with one location in Benton City, WA found to meet all of the mandatory and optional criteria. It is expected that the new sampler will be installed and operating by the end of June, 2015.

  10. Applied Science Division annual report, Environmental Research Program FY 1983

    SciTech Connect (OSTI)

    Cairns, E.J.; Novakov, T.

    1984-05-01T23:59:59.000Z

    The primary concern of the Environmental Research Program is the understanding of pollutant formation, transport, and transformation and the impacts of pollutants on the environment. These impacts include global, regional, and local effects on the atmosphere and hydrosphere, and on certain aspects of human health. This multidisciplinary research program includes fundamental and applied research in physics, chemistry, engineering, and biology, as well as research on the development of advanced methods of measurement and analysis. During FY 1983, research concentrated on atmospheric physics and chemistry, applied physics and laser spectroscopy, combustion theory and phenomena, environmental effects of oil shale processing, freshwater ecology and acid precipitation, trace element analysis for the investigation of present and historical environmental impacts, and a continuing survey of instrumentation for environmental monitoring.

  11. VAMOS: The verification and monitoring options study: Current research options for in-situ monitoring and verification of contaminant remediation and containment within the vadose zone

    SciTech Connect (OSTI)

    Betsill, J.D. [Sandia National Labs., Albuquerque, NM (United States); Gruebel, R.D. [Tech Reps., Inc., Albuquerque, NM (United States)

    1995-09-01T23:59:59.000Z

    The Verification and Monitoring Options Study Project (VAMOS) was established to identify high-priority options for future vadose-zone environmental research in the areas of in-situ remediation monitoring, post-closure monitoring, and containment emplacement and verification monitoring. VAMOS examined projected needs not currently being met with applied technology in order to develop viable monitoring and verification research options. The study emphasized a compatible systems approach to reinforce the need for utilizing compatible components to provide user friendly site monitoring systems. To identify the needs and research options related to vadose-zone environmental monitoring and verification, a literature search and expert panel forums were conducted. The search included present drivers for environmental monitoring technology, technology applications, and research efforts. The forums included scientific, academic, industry, and regulatory environmental professionals as well as end users of environmental technology. The experts evaluated current and future monitoring and verification needs, methods for meeting these needs, and viable research options and directions. A variety of high-priority technology development, user facility, and technology guidance research options were developed and presented as an outcome of the literature search and expert panel forums.

  12. Applying to Teacher Education Program at Purdue

    E-Print Network [OSTI]

    David Drasin

    2012-12-02T23:59:59.000Z

    Apply to the Teacher Education Program (TEP). Please remember to apply to the TEP(Gate A) if you wish to officially enroll in the. Professional Education ...

  13. Application of Condition-Based Monitoring Techniques for Remote Monitoring of a Simulated Gas Centrifuge Enrichment Plant

    SciTech Connect (OSTI)

    Hooper, David A [ORNL; Henkel, James J [ORNL; Whitaker, Michael [ORNL

    2012-01-01T23:59:59.000Z

    This paper presents research into the adaptation of monitoring techniques from maintainability and reliability (M&R) engineering for remote unattended monitoring of gas centrifuge enrichment plants (GCEPs) for international safeguards. Two categories of techniques are discussed: the sequential probability ratio test (SPRT) for diagnostic monitoring, and sequential Monte Carlo (SMC or, more commonly, particle filtering ) for prognostic monitoring. Development and testing of the application of condition-based monitoring (CBM) techniques was performed on the Oak Ridge Mock Feed and Withdrawal (F&W) facility as a proof of principle. CBM techniques have been extensively developed for M&R assessment of physical processes, such as manufacturing and power plants. These techniques are normally used to locate and diagnose the effects of mechanical degradation of equipment to aid in planning of maintenance and repair cycles. In a safeguards environment, however, the goal is not to identify mechanical deterioration, but to detect and diagnose (and potentially predict) attempts to circumvent normal, declared facility operations, such as through protracted diversion of enriched material. The CBM techniques are first explained from the traditional perspective of maintenance and reliability engineering. The adaptation of CBM techniques to inspector monitoring is then discussed, focusing on the unique challenges of decision-based effects rather than equipment degradation effects. These techniques are then applied to the Oak Ridge Mock F&W facility a water-based physical simulation of a material feed and withdrawal process used at enrichment plants that is used to develop and test online monitoring techniques for fully information-driven safeguards of GCEPs. Advantages and limitations of the CBM approach to online monitoring are discussed, as well as the potential challenges of adapting CBM concepts to safeguards applications.

  14. Status of radiation detector and neutron monitor technology

    E-Print Network [OSTI]

    Kim, Y K; Ha, J H; Han, S H; Hong, S B; Hwang, I K; Lee, W G; Moon, B S; Park, S H; Song, M H

    2002-01-01T23:59:59.000Z

    In this report, we describe the current states of the radiation detection technology, detectors for industrial application, and neutron monitors. We also survey the new technologies being applied to this field. The method to detect radiation is the measurement of the observable secondary effect from the interaction between incident radiation and detector material, such as ionization, excitation, fluorescence, and chemical reaction. The radiation detectors can be categorized into gas detectors, scintillation detectors, and semiconductor detectors according to major effects and main applications. This report contains the current status and operational principles of these detectors. The application fields of radiation detectors are industrial measurement system, in-core neutron monitor, medical radiation diagnostic device, nondestructive inspection device, environmental radiation monitoring, cosmic-ray measurement, security system, fundamental science experiment, and radiation measurement standardization. The st...

  15. Vapor spill pipe monitor

    DOE Patents [OSTI]

    Bianchini, G.M.; McRae, T.G.

    1983-06-23T23:59:59.000Z

    The invention is a method and apparatus for continually monitoring the composition of liquefied natural gas flowing from a spill pipe during a spill test by continually removing a sample of the LNG by means of a probe, gasifying the LNG in the probe, and sending the vaporized LNG to a remote ir gas detector for analysis. The probe comprises three spaced concentric tubes surrounded by a water jacket which communicates with a flow channel defined between the inner and middle, and middle and outer tubes. The inner tube is connected to a pump for providing suction, and the probe is positioned in the LNG flow below the spill pipe with the tip oriented partly downward so that LNG is continuously drawn into the inner tube through a small orifice. The probe is made of a high thermal conductivity metal. Hot water is flowed through the water jacket and through the flow channel between the three tubes to provide the necessary heat transfer to flash vaporize the LNG passing through the inner channel of the probe. The gasified LNG is transported through a connected hose or tubing extending from the probe to a remote ir sensor which measures the gas composition.

  16. Steam trap monitor

    DOE Patents [OSTI]

    Ryan, Michael J. (Plainfield, IL)

    1988-01-01T23:59:59.000Z

    A steam trap monitor positioned downstream of a steam trap in a closed steam system includes a first sensor (the combination of a hot finger and thermocouple well) for measuring the energy of condensate and a second sensor (a cold finger) for measuring the total energy of condensate and steam in the line. The hot finger includes one or more thermocouples for detecting condensate level and energy, while the cold finger contains a liquid with a lower boiling temperature than that of water. Vapor pressure from the liquid is used to do work such as displacing a piston or bellows in providing an indication of total energy (steam+condensate) of the system. Processing means coupled to and responsive to outputs from the thermocouple well hot and cold fingers subtracts the condensate energy as measured by the hot finger and thermocouple well from the total energy as measured by the cold finger to provide an indication of the presence of steam downstream from the trap indicating that the steam trap is malfunctioning.

  17. Applied Materials | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources JumpAnaconda,Anza ElectricInc Jump to:Applied

  18. Ensemble-based air quality forecasts: A multimodel approach applied to ozone

    E-Print Network [OSTI]

    Boyer, Edmond

    Ensemble-based air quality forecasts: A multimodel approach applied to ozone Vivien Mallet1 21 September 2006. [1] The potential of ensemble techniques to improve ozone forecasts ozone-monitoring networks. We found that several linear combinations of models have the potential

  19. Applied change of mean detection techniques for HVAC fault detection and diagnosis and power monitoring

    E-Print Network [OSTI]

    Hill, Roger Owen

    1995-01-01T23:59:59.000Z

    A signal processing technique, the detection of abrupt changes in a time-series signal, is implemented with two different applications related to energy use in buildings. The first application is a signal pre-processor for ...

  20. Journal ofApplied F O RUM 4116? 174 Conservation and biological monitoring of tropical forests

    E-Print Network [OSTI]

    Mathis, Wayne N.

    , Washington, DC 20013-7012, USA; ^Department of Plant Biology, University of Minnesota, 220 Biological approaches that could generate a constant stream of data from tropical ecosystems. We argue that data provide high-quality biological specimens and ecological informa- tion; statistical power will be high due

  1. Space Geodesy and Geochemistry Applied to the Monitoring, Verification of Carbon Capture and Storage

    SciTech Connect (OSTI)

    Swart, Peter

    2013-11-30T23:59:59.000Z

    This award was a training grant awarded by the U.S. Department of Energy (DOE). The purpose of this award was solely to provide training for two PhD graduate students for three years in the general area of carbon capture and storage (CCS). The training consisted of course work and conducting research in the area of CCS. Attendance at conferences was also encouraged as an activity and positive experience for students to learn the process of sharing research findings with the scientific community, and the peer review process. At the time of this report, both students have approximately two years remaining of their studies, so have not fully completed their scientific research projects.

  2. Summaries of the FY 1981 applied mathematical sciences research program

    SciTech Connect (OSTI)

    Not Available

    1981-12-01T23:59:59.000Z

    Applied Mathematical Sciences serves as the DOE focal point for monitoring and advancing the state of the art in mathematics, statistics, and computer science. Several DOE mission programs develop and refine specific techniques from the applied mathematical sciences applicable to their immediate needs. In contrast, Applied Mathematical Sciences concentrates on more broadly based, continuing needs throughout the DOE community. Emphasis is placed on research basic to the analysis, development, and use of large-scale computational models; the management and analysis of large, complex collections of information; and the effective use of DOE computing resources. The purpose of this research is not to improve existing technologies and methodologies, but rather to render them obsolete. Each part of the Applied Mathematical Sciences activity has been designed with the help and advice of leading mathematicians and computer scientists from universities, industry, and DOE laboratories to assure the broadest and greatest impact on the nation's energy R and D enterprise. Many of them are expert in industry's needs in the relevant areas. Close liaison is maintained with other federal agencies in the selection of areas of emphasis and of individual research tasks. This is high leverage research. In favorable cases, the results may be of great benefit simultaneously to a number of different energy technologies. The requested increase will be an exceptionally sound investment.

  3. Texas Rangeland Monitoring: Level Two

    E-Print Network [OSTI]

    Hanselka, C. Wayne; Hart, Charles R.; McGinty, Allan

    2006-10-09T23:59:59.000Z

    are best used for monitoring herbaceous plant communities. Belt transects can be used for monitoring the woody plant commu- nity. Line transect To use a line transect, stretch a 100-foot to 300-foot measuring tape across the monitoring site, carefully... plant rooted closest to each foot mark along the line. If using a 300-foot line, every other foot mark may be used. At least 100 plants should be identi- fied and recorded for each line transect installed. The math for calculating species com...

  4. Essential Grid Workflow Monitoring Elements

    SciTech Connect (OSTI)

    Gunter, Daniel K.; Jackson, Keith R.; Konerding, David E.; Lee,Jason R.; Tierney, Brian L.

    2005-07-01T23:59:59.000Z

    Troubleshooting Grid workflows is difficult. A typicalworkflow involves a large number of components networks, middleware,hosts, etc. that can fail. Even when monitoring data from all thesecomponents is accessible, it is hard to tell whether failures andanomalies in these components are related toa given workflow. For theGrid to be truly usable, much of this uncertainty must be elim- inated.We propose two new Grid monitoring elements, Grid workflow identifiersand consistent component lifecycle events, that will make Gridtroubleshooting easier, and thus make Grids more usable, by simplifyingthe correlation of Grid monitoring data with a particular Gridworkflow.

  5. Gap and stripline combined monitor

    DOE Patents [OSTI]

    Yin, Yan (Palo Alto, CA)

    1986-01-01T23:59:59.000Z

    A combined gap and stripline monitor device (10) for measuring the intensity and position of a charged particle beam bunch in a beam pipe of a synchotron radiation facility. The monitor has first and second beam pipe portions (11a, 11b) with an axial gap (12) therebetween. An outer pipe (14) cooperates with the first beam pipe portion (11a) to form a gap enclosure, while inner strips (23a-d) cooperate with the first beam pipe portion (11a) to form a stripline monitor, with the stripline length being the same as the gap enclosure length.

  6. In vivo real-time monitoring system of electroporation mediated control of transdermal and topical drug delivery

    E-Print Network [OSTI]

    Ljubljana, University of

    ), doxorubicin (DOX) or fentanyl (FEN), were applied to the skin before and after EP. The new monitoring system as a positive control. The non-invasive monitoring of the delivery of DOX, a fluorescent chemotherapeutic drug the observed effects as obtained with FD and DOX, by the measured physiological responses of the mice as well

  7. Optical monitor for observing turbulent flow

    DOE Patents [OSTI]

    Albrecht, Georg F. (Livermore, CA); Moore, Thomas R. (Rochester, NY)

    1992-01-01T23:59:59.000Z

    The present invention provides an apparatus and method for non-invasively monitoring turbulent fluid flows including anisotropic flows. The present invention uses an optical technique to filter out the rays travelling in a straight line, while transmitting rays with turbulence induced fluctuations in time. The output is two dimensional, and can provide data regarding the spectral intensity distribution, or a view of the turbulence in real time. The optical monitor of the present invention comprises a laser that produces a coherent output beam that is directed through a fluid flow, which phase-modulates the beam. The beam is applied to a temporal filter that filters out the rays in the beam that are straight, while substantially transmitting the fluctuating, turbulence-induced rays. The temporal filter includes a lens and a photorefractive crystal such as BaTiO.sub.3 that is positioned in the converging section of the beam near the focal plane. An imaging system is used to observe the filtered beam. The imaging system may take a photograph, or it may include a real time camera that is connected to a computer. The present invention may be used for many purposes including research and design in aeronautics, hydrodynamics, and combustion.

  8. Intelligent Component Monitoring for Nuclear Power Plants

    SciTech Connect (OSTI)

    Lefteri Tsoukalas

    2010-07-30T23:59:59.000Z

    Reliability and economy are two major concerns for a nuclear power generation system. Next generation nuclear power reactors are being developed to be more reliable and economic. An effective and efficient surveillance system can generously contribute toward this goal. Recent progress in computer systems and computational tools has made it necessary and possible to upgrade current surveillance/monitoring strategy for better performance. For example, intelligent computing techniques can be applied to develop algorithm that help people better understand the information collected from sensors and thus reduce human error to a new low level. Incidents incurred from human error in nuclear industry are not rare and have been proven costly. The goal of this project is to develop and test an intelligent prognostics methodology for predicting aging effects impacting long-term performance of nuclear components and systems. The approach is particularly suitable for predicting the performance of nuclear reactor systems which have low failure probabilities (e.g., less than 10-6 year-). Such components and systems are often perceived as peripheral to the reactor and are left somewhat unattended. That is, even when inspected, if they are not perceived to be causing some immediate problem, they may not be paid due attention. Attention to such systems normally involves long term monitoring and possibly reasoning with multiple features and evidence, requirements that are not best suited for humans.

  9. Clean Slate 1 revegetation and monitoring plan

    SciTech Connect (OSTI)

    Anderson, D.C.; Hall, D.B.

    1997-07-01T23:59:59.000Z

    This document constitutes a reclamation plan for the short-term and long-term stabilization of land disturbed by activities associated with the cleanup of radionuclide contaminated surface soil at the Clean Slate 1 site. This document has been prepared to provide general reclamation practices and procedures that will be followed during restoration of the cleanup site. The results of reclamation trials at Area 11, Area 19 and more recently the reclamation demonstration plots at the Double Tracks cleanup site, have been summarized and incorporated into this reclamation and monitoring plan. The plan also contains procedures for monitoring both the effectiveness and success of short-term and long-term soil stabilization. The Clean Slate 1 site is located on the Tonopah Test Range. The surface soils were contaminated as a result of the detonation of a device containing plutonium and depleted uranium using chemical explosives. Short-term stabilization consists of the application of a chemical soil stabilizer that is applied immediately following excavation of the contaminated soils to minimize Pu resuspension. Long-term stabilization is accomplished by the establishment of a permanent vegetation.

  10. ~On-Line Monitoring: Beth A. Schroeder

    E-Print Network [OSTI]

    Plale, Beth

    observers are not required to provide computational functionality. Second,the systemsaredesignedto monitor the target soft- ware and respondwhile the target software isoperational. This forcesthe monitoring system

  11. Federal Radiological Monitoring and Assessment Center | National...

    National Nuclear Security Administration (NNSA)

    Mission The mission of the FRMAC is to coordinate and manage all federal radiological environmental monitoring and assessment Federal Radiological Monitoring and Assessment...

  12. Solar Power Systems Web Monitoring

    E-Print Network [OSTI]

    Kumar, Bimal Aklesh

    2011-01-01T23:59:59.000Z

    All over the world the peak demand load is increasing and the load factor is decreasing year-by-year. The fossil fuel is considered insufficient thus solar energy systems are becoming more and more useful, not only in terms of installation but monitoring of these systems is very crucial. Monitoring becomes very important when there are a large number of solar panels. Monitoring would allow early detection if the output falls below required level or one of the solar panel out of 1000 goes down. In this study the target is to monitor and control a developed solar panel by using available internet foundation. This web-enabled software will provide more flexibility over the system such as transmitting data from panel to the host computer and disseminating information to relevant stake holders barring any geographical barrier. The software would be built around web server with dynamic HTML and JAVA, this paper presents the preliminary design of the proposed system.

  13. Advanced nonintrusive load monitoring system

    E-Print Network [OSTI]

    Wichakool, Warit, 1977-

    2011-01-01T23:59:59.000Z

    There is a need for flexible, inexpensive metering technologies that can be deployed in many different monitoring scenarios. Individual loads may be expected to compute information about their power consumption. Utility ...

  14. USE OF SILICON CARBIDE MONITORS IN ATR IRRADIATION TESTING

    SciTech Connect (OSTI)

    K. L. Davis; B. Chase; T. Unruh; D. Knudson; J. L. Rempe

    2012-07-01T23:59:59.000Z

    In April 2007, the Department of Energy (DOE) designated the Advanced Test Reactor (ATR) a National Scientific User Facility (NSUF) to advance US leadership in nuclear science and technology. By attracting new users from universities, laboratories, and industry, the ATR will support basic and applied nuclear research and development and help address the nation's energy security needs. In support of this new program, the Idaho National Laboratory (INL) has developed in-house capabilities to fabricate, test, and qualify new and enhanced temperature sensors for irradiation testing. Although most efforts emphasize sensors capable of providing real-time data, selected tasks have been completed to enhance sensors provided in irradiation locations where instrumentation leads cannot be included, such as drop-in capsule and Hydraulic Shuttle Irradiation System (HSIS) or 'rabbit' locations. For example, silicon carbide (SiC) monitors are now available to detect peak irradiation temperatures between 200°C and 800°C. Using a resistance measurement approach, specialized equipment installed at INL's High Temperature Test Laboratory (HTTL) and specialized procedures were developed to ensure that accurate peak irradiation temperature measurements are inferred from SiC monitors irradiated at the ATR. Comparison examinations were completed by INL to demonstrate this capability, and several programs currently rely on SiC monitors for peak temperature detection. This paper discusses the use of SiC monitors at the ATR, the process used to evaluate them at the HTTL, and presents representative measurements taken using SiC monitors.

  15. PEM fuel cell monitoring system

    DOE Patents [OSTI]

    Meltser, M.A.; Grot, S.A.

    1998-06-09T23:59:59.000Z

    Method and apparatus are disclosed for monitoring the performance of H{sub 2}--O{sub 2} PEM fuel cells. Outputs from a cell/stack voltage monitor and a cathode exhaust gas H{sub 2} sensor are corrected for stack operating conditions, and then compared to predetermined levels of acceptability. If certain unacceptable conditions coexist, an operator is alerted and/or corrective measures are automatically undertaken. 2 figs.

  16. Remote monitoring for international safeguards

    SciTech Connect (OSTI)

    Dupree, S.A. [Sandia National Labs., Albuquerque, NM (United States); Sonnier, C.S. [Jupiter Corp., Albuquerque, NM (United States)

    1997-09-01T23:59:59.000Z

    Remote monitoring is not a new technology, and its application to safeguards relevant activities has been examined for a number of years. On behalf of the US Department of Energy and international partners, remote monitoring systems have been emplaced in nuclear facilities and laboratories in various parts of the world. The experience gained from these field trials of remote monitoring systems has shown the viability of the concept of using integrated monitoring systems. Although a wide variety of sensors has been used in the remote monitoring field trials conducted to date, the possible range of instrumentation that might be used has scarcely been touched. As the technology becomes widespread, large amounts of data will become available to inspectors responsible for safeguards activities at the sites. Effective use of remote monitoring will require processing, archiving, presenting, and assessing of these data. To provide reasonable efficiency in the application of this technology, data processing should be done in a careful and organized manner. The problem will be not an issue of poring over scant records but of surviving under a deluge of information made possible by modern technology. Fortunately, modern technology, which created the problem of the data glut, is available to come to the assistance of those inundated by data. Apart from the technological problems, one of the most important aspects of remote monitoring is the potential constraint related to the transmission of data out of a facility or beyond national borders. Remote monitoring across national borders can be seriously considered only in the context of a comprehensive, transparent, and open implementation regime.

  17. Pecos River Ecosystem Monitoring Project

    E-Print Network [OSTI]

    McDonald, A.; Hart, C.

    2004-01-01T23:59:59.000Z

    TR- 272 2004 Pecos River Ecosystem Monitoring Project C. Hart A. McDonald Texas Water Resources Institute Texas A&M University - 146 - 2003 Pecos River Ecosystem Monitoring Project... Charles R. Hart, Extension Range Specialist, Fort Stockton Alyson McDonald, Extension Assistant – Hydrology, Fort Stockton SUMMARY The Pecos River Ecosystem Project is attempting to minimize the negative impacts of saltcedar on the river ecosystem...

  18. Energy Management Programs- Monitoring Performance

    E-Print Network [OSTI]

    Pauls, S. P.; Shamy, M. D.

    ENERGY MANAGEMENT PROGRAMS - MONITORING PERFORMANCE Stanley P. Pauls Mustafa D. Shamy Merck & Co., Inc. Rahway, N. J. ABSTRACT of the historical energy consumption records. Energy use standards have been established to Steam Model monitor... energy conservation performance in bulk pharmaceutical plants. The model considers The basic steam model for most industrial process, comfort heating, and fixed loads. operations is made up of the following components: As the oil crisis developed...

  19. Stack Monitor Operating Experience Review

    SciTech Connect (OSTI)

    L. C. Cadwallader; S. A. Bruyere

    2009-05-01T23:59:59.000Z

    Stack monitors are used to sense radioactive particulates and gases in effluent air being vented from rooms of nuclear facilities. These monitors record the levels and types of effluents to the environment. This paper presents the results of a stack monitor operating experience review of the U.S. Department of Energy (DOE) Occurrence Reporting and Processing System (ORPS) database records from the past 18 years. Regulations regarding these monitors are briefly described. Operating experiences reported by the U.S. DOE and in engineering literature sources were reviewed to determine the strengths and weaknesses of these monitors. Electrical faults, radiation instrumentation faults, and human errors are the three leading causes of failures. A representative “all modes” failure rate is 1E-04/hr. Repair time estimates vary from an average repair time of 17.5 hours (with spare parts on hand) to 160 hours (without spare parts on hand). These data should support the use of stack monitors in any nuclear facility, including the National Ignition Facility and the international ITER project.

  20. CX-012313: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chicago Office Technical Support Services Contract CX(s) Applied: A8 Date: 06/13/2014 Location(s): CX: none Offices(s): Chicago Office

  1. CX-007858: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Southwest Solar Transformation Initiative CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  2. CX-010367: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Asbestos Abatement Actions CX(s) Applied: B1.16 Date: 11/19/2012 Location(s): Tennessee, California, Virginia Offices(s): Berkeley Site Office

  3. CX-010258: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bangladesh Meteorological Instrumentation Installation CX(s) Applied: A9 Date: 04/26/2013 Location(s): Colorado Offices(s): Golden Field Office

  4. CX-012632: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140456 - Salmon Creek Avenue Pathway Project CX(s) Applied: B4.9Date: 41885 Location(s): WashingtonOffices(s): Bonneville Power Administration

  5. CX-001373: Categorical Exclusion Determination | Department of...

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

    Analytical Development Tritium Support Laboratory for Mass Spectroscopy, Infrared Spectroscopy, and Raman CX(s) Applied: B3.6 Date: 03102010 Location(s): Aiken,...

  6. CX-004196: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-004196: Categorical Exclusion Determination Infrared and Raman Spectroscopy of Biological Safety Level-1 Biological Samples CX(s) Applied:...

  7. CX-000331: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000331: Categorical Exclusion Determination Kentucky Revision 2 - Commercial Office Building Retrofit Showcase CX(s) Applied: B1.4, B1.5,...

  8. CX-003518: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003518: Categorical Exclusion Determination Energy from Biomass Research and Technology Transfer Program CX(s) Applied: B3.6 Date: 08232010...

  9. CX-012089: Categorical Exclusion Determination | Department of...

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

    CX-012089: Categorical Exclusion Determination Wood Pole Testing for 20 Transmission Lines in Southern Arizona and Southern California CX(s) Applied: B3.1 Date: 04172014...

  10. CX-000815: Categorical Exclusion Determination | Department of...

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

    0815: Categorical Exclusion Determination CX-000815: Categorical Exclusion Determination Hydrogen Technology Laboratory 140 - Chromatography, Wet Laboratory CX(s) Applied: B3.6...

  11. CX-009005: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Henderson Solar Energy Project CX(s) Applied: B5.16 Date: 08/22/2012 Location(s): Nevada Offices(s): Golden Field Office

  12. CX-011116: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sunpath SANFAB CX(s) Applied: B5.16 Date: 08/09/2013 Location(s): Nevada Offices(s): Golden Field Office

  13. CX-012474: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Refractories/Ceramics Project CX(s) Applied: B3.6Date: 41870 Location(s): OregonOffices(s): National Energy Technology Laboratory

  14. CX-005151: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005151: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Wyoming CX(s) Applied: A9, A11...

  15. CX-005154: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005154: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Kentucky CX(s) Applied: A9, A11,...

  16. CX-005159: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005159: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - Indiana Geological Survey CX(s) Applied: A9,...

  17. CX-008691: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mason Substation Metering Replacement Project CX(s) Applied: B1.7 Date: 06/25/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  18. CX-011237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lightspeed Networks Inc. Fiber Installation CX(s) Applied: B4.9 Date: 10/24/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  19. CX-006471: Categorical Exclusion Determination | Department of...

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

    CX-006471: Categorical Exclusion Determination Air Awareness Campaign Electric Car Charging Station CX(s) Applied: B5.1 Date: 08042011 Location(s): Greenville, South...

  20. CX-000903: Categorical Exclusion Determination | Department of...

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

    903: Categorical Exclusion Determination CX-000903: Categorical Exclusion Determination Smart Grid Photovoltaic Pilot CX(s) Applied: B5.1 Date: 02242010 Location(s): Illinois...

  1. CX-012015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-012015: Categorical Exclusion Determination Enhanced Wind Resource Assessment with Sonic Ranging and Detection at Tooele Army Depot CX(s) Applied:...

  2. CX-012110: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Defense Logistics Agency, Tracy, California, Wind Resource Assessment CX(s) Applied: A9, B3.1 Date: 05072014 Location(s): California...

  3. CX-002753: Categorical Exclusion Determination | Department of...

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

    Determination CX-002753: Categorical Exclusion Determination Gilt Edge Mine Wind Resource Assessment CX(s) Applied: B3.1 Date: 06212010 Location(s): Deadwood, South...

  4. CX-002823: Categorical Exclusion Determination | Department of...

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

    CX-002823: Categorical Exclusion Determination Nebraska College of Technical Agriculture Biomass Facility CX(s) Applied: B5.1 Date: 06242010 Location(s): Curtis, Nebraska...

  5. CX-006074: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006074: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic Manufacturing Initiative CX(s) Applied: A9 Date: 0628...

  6. CX-007549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Harrisonville - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  7. CX-007571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pulaski County - Wastewater CX(s) Applied: B5.1 Date: 12/29/2011 Location(s): Missouri Offices(s): Golden Field Office

  8. CX-008797: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coal Pile Basin Project CX(s) Applied: B1.29 Date: 06/04/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  9. CX-010590: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kalispell Shunt Cap Addition Project CX(s) Applied: B4.11 Date: 07/01/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  10. CX-008234: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Whole Energy Glycerin Refinery CX(s) Applied: B5.15 Date: 04/20/2012 Location(s): Washington Offices(s): Golden Field Office

  11. CX-011564: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Excess Facilities Deactivation and Demolition CX(s) Applied: B1.23 Date: 11/05/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  12. CX-012724: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Test Reactor (ATR) Electronic Message Board Installation CX(s) Applied: B1.7Date: 41830 Location(s): IdahoOffices(s): Nuclear Energy

  13. CX-002964: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002964: Categorical Exclusion Determination Wind Energy and Sustainable Energy Solutions CX(s) Applied: B3.11, A9 Date: 07092010...

  14. CX-003507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination State Energy Program American Recovery and Reinvestment Act: Solar Power Incorporated Photovoltaic Panel Manufacturing Facility CX(s) Applied: B1.31,...

  15. CX-012810: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    St. Johns-Keeler Minor Access Road Improvement CX(s) Applied: B1.3Date: 41901 Location(s): OregonOffices(s): Bonneville Power Administration

  16. CX-011368: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Temperature Thermal Properties CX(s) Applied: B1.31 Date: 10/23/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  17. CX-011798: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Analytical Physics - Thermal Analysis CX(s) Applied: B3.6 Date: 01/30/2014 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  18. CX-001724: Categorical Exclusion Determination | Department of...

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

    CX-001724: Categorical Exclusion Determination Recovery Act City of Boise Energy Efficiency and Conservation Block Grant (EECBG) CX(s) Applied: B5.1 Date: 04122010...

  19. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    Center October 26, 2009 CX-005544: Categorical Exclusion Determination Power Rate Formula for the Provo River Project of the Western Area Power Administration CX(s) Applied:...

  20. CX-012706: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Radiochemistry Laboratory (RCL) Supply Intake Filter Housing CX(s) Applied: B2.5Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy

  1. CX-008684: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metaline Radio Station Upgrade Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  2. CX-009465: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: B3.6 Date: 10182012...

  3. CX-009462: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: A9, A11 Date: 1018...

  4. CX-011295: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011295: Categorical Exclusion Determination Material Dynamics and Kinetics Lab CX(s) Applied: B3.6 Date: 10172013 Location(s): Pennsylvania...

  5. CX-009463: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: B3.6 Date: 10182012...

  6. CX-009464: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: A9, A11 Date: 1018...

  7. CX-012776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Catalyst Processing, KCP14-05 CX(s) Applied: NOT NOTEDDate: 41857 Location(s): MissouriOffices(s): Kansas City Site Office

  8. CX-008215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Small Hydropower Research and Development Technology Project CX(s) Applied: A9 Date: 04/03/2012 Location(s): Colorado Offices(s): Golden Field Office

  9. CX-011535: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    East Grangeville Substation Sale CX(s) Applied: B1.24 Date: 11/14/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  10. CX-012233: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shed Acquisition at Kalispell Substation CX(s) Applied: B1.24 Date: 06/09/2014 Location(s): Montana Offices(s): Bonneville Power Administration

  11. CX-012622: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace roofing system at 702-F CX(s) Applied: B1.3Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  12. CX-012621: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace 730-2B Roof CX(s) Applied: B1.3Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  13. CX-012433: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computer Simulation and Prototype Construction and Testing CX(s) Applied: A9Date: 41878 Location(s): GeorgiaOffices(s): National Energy Technology Laboratory

  14. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  15. Categorical Exclusion (CX) Determinations By Date | Department...

    Office of Environmental Management (EM)

    (CX) Determinations By Date Categorical Exclusion (CX) Determinations By Date August 25, 2015 CX-012469: Categorical Exclusion Determination Gas Analysis Services CX(s) Applied:...

  16. CX-010869: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nauticas Research Program CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): Illinois Offices(s): Argonne Site Office

  17. CX-012664: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SBIR/STTR Phase 0 Outreach and Assistance Program CX(s) Applied: A8Date: 41844 Location(s): IllinoisOffices(s): Chicago Office

  18. CX-010581: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Little Shell Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  19. CX-011252: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011252: Categorical Exclusion Determination Concentrating Solar Power Heat Integration for Baseload Renewable Energy Deployment CX(s) Applied: A9...

  20. CX-004374: Categorical Exclusion Determination | Department of...

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

    74: Categorical Exclusion Determination CX-004374: Categorical Exclusion Determination Solar Electric Power for Nonsectarian Educational and Social CX(s) Applied: A9, B5.1 Date:...

  1. CX-011391: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011391: Categorical Exclusion Determination Municipal Complex Solar Power Project CX(s) Applied: B3.14 Date: 12102013 Location(s): New Jersey...

  2. CX-008507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008507: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3 Date: 07162012...

  3. CX-007111: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007111: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project (Iatan Generating Station) CX(s) Applied: B3.1...

  4. CX-008476: Categorical Exclusion Determination | Department of...

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

    CX-008476: Categorical Exclusion Determination Small Scale Field Test Demonstrating Carbon Dioxide Sequestration in the Arbuckle Saline Aquifer CX(s) Applied: A9, B1.15,...

  5. CX-007118: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007118: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project CX(s) Applied: B3.1 Date: 10042011...

  6. CX-009326: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009326: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Subtask 1.7 CX(s) Applied: B3.1 Date: 09282012...

  7. CX-000591: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination 25A2936 - Carbon Nanotube Membranes for Energy-Efficient Carbon Sequestration CX(s) Applied: B3.6 Date: 12152009 Location(s): California...

  8. CX-003037: Categorical Exclusion Determination | Department of...

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

    Determination CX-003037: Categorical Exclusion Determination Mercury Removal from Clean Coal Processing Air Stream CX(s) Applied: B3.6 Date: 07132010 Location(s): Butte,...

  9. CX-011165: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Heavy Mineral Separation CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  10. CX-012716: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    General Scientific Infrastructure Support for University of Wisconsin CX(s) Applied: B1.31Date: 41844 Location(s): WisconsinOffices(s): Nuclear Energy

  11. CX-011115: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Realization of Algae Potential CX(s) Applied: A9 Date: 08/29/2013 Location(s): New Mexico Offices(s): Golden Field Office

  12. CX-007844: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Retrofits CX(s) Applied: B5.1 Date: 12/01/2011 Location(s): Rhode Island Offices(s): Energy Efficiency and Renewable Energy

  13. CX-007689: Categorical Exclusion Determination | Department of...

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

    Tech Research Corporation- Prosumer-Based Distributed Autonomous Cyber-Physical Architecture for Ultra-Reliable Green Electricity Internetworks CX(s) Applied: A9 Date: 1118...

  14. CX-000734: Categorical Exclusion Determination | Department of...

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

    CX-000734: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Stillwater, Oklahoma Office(s):...

  15. CX-000733: Categorical Exclusion Determination | Department of...

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

    CX-000733: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Austin, Texas Office(s): Fossil...

  16. CX-010941: Categorical Exclusion Determination | Department of...

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

    CX-010941: Categorical Exclusion Determination Assessing the Response of Methane Hydrates to Environmental Change at the Svalbard Continental Margin CX(s) Applied: B3.6,...

  17. CX-007388: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007388: Categorical Exclusion Determination Regional Test Center Project: Solar Technology Acceleration Center (SolarTAC) CX(s) Applied: B1.15,...

  18. CX-012245: Categorical Exclusion Determination | Department of...

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

    5: Categorical Exclusion Determination CX-012245: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Carnegie Mellon CX(s) Applied: A9 Date:...

  19. CX-012253: Categorical Exclusion Determination | Department of...

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

    3: Categorical Exclusion Determination CX-012253: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - OSU CX(s) Applied: A9 Date: 05272014...

  20. CX-012252: Categorical Exclusion Determination | Department of...

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

    2: Categorical Exclusion Determination CX-012252: Categorical Exclusion Determination Hydro Research Foundation University Research Awards- Cornell CX(s) Applied: A9, B3.16 Date:...

  1. CX-012254: Categorical Exclusion Determination | Department of...

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

    4: Categorical Exclusion Determination CX-012254: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Vanderbilt CX(s) Applied: A9 Date: 05...

  2. CX-003904: Categorical Exclusion Determination | Department of...

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

    904: Categorical Exclusion Determination CX-003904: Categorical Exclusion Determination Hydro Electric Project - Snohomish Public Utility District CX(s) Applied: A9, A11, B5.1...

  3. CX-012246: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-012246: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - University of Tennessee CX(s) Applied:...

  4. CX-012241: Categorical Exclusion Determination | Department of...

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

    1: Categorical Exclusion Determination CX-012241: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - MIT CX(s) Applied: A9, B3.6 Date: 06...

  5. CX-011534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grays River Confluence Property Funding CX(s) Applied: B1.25 Date: 11/08/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  6. CX-012434: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Low Cost Titanium Casting Technology CX(s) Applied: B3.6Date: 41878 Location(s): OhioOffices(s): National Energy Technology Laboratory

  7. CX-009542: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Parks Project CX(s) Applied: B5.16 Date: 11/09/2012 Location(s): Florida Offices(s): Golden Field Office

  8. CX-003403: Categorical Exclusion Determination | Department of...

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

    CX-003403: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: A9, B3.7...

  9. CX-002745: Categorical Exclusion Determination | Department of...

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

    CX-002745: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: B3.1, A9...

  10. CX-006681: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006681: Categorical Exclusion Determination New Drilling Location in Section 29 CX(s) Applied: B3.1 Date: 12232009 Location(s): Casper,...

  11. CX-006682: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006682: Categorical Exclusion Determination New Drilling Location in Section 29 (Revision 1) CX(s) Applied: B3.7 Date: 06022010 Location(s):...

  12. CX-008486: Categorical Exclusion Determination | Department of...

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

    CX-008486: Categorical Exclusion Determination Demonstration of Gas Powered Drilling Operations for Economically-Challenged Wellhead Gas and Evaluation CX(s) Applied:...

  13. CX-007941: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: A9 Date: 02152012 Location(s): Texas...

  14. CX-003888: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003888: Categorical Exclusion Determination Improved Drilling and Fracturing Fluids for Shale Gas Reservoirs CX(s) Applied: B3.6 Date: 09102010...

  15. CX-007940: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: B3.6 Date: 02152012 Location(s): Texas...

  16. CX-005582: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Foro Energy, Incorporated - Low-Contact Drilling Technology to Enable Economical Enhance Geothermal System Wells CX(s) Applied: B3.6,...

  17. CX-000855: Categorical Exclusion Determination | Department of...

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

    Determination CX-000855: Categorical Exclusion Determination 25A5208 - Low-contact Drilling Technology to Enable Economical Engineered Geothermal System Wells CX(s) Applied:...

  18. CX-008876: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Railroad Island Property Funding CX(s) Applied: B1.25 Date: 08/23/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  19. CX-011239: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Security Upgrades at Multiple Substations CX(s) Applied: ? Date: 10/02/2013 Location(s): Oregon, Washington Offices(s): Bonneville Power Administration

  20. CX-010739: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Golden State Solar Impact CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): California Offices(s): Golden Field Office

  1. CX-011044: Categorical Exclusion Determination | Department of...

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

    CX-011044: Categorical Exclusion Determination High Hydrogen, Low Methane Syngas from Low Ranked Coals for Coal-to-Liquids Production CX(s) Applied: A9 Date: 0910...

  2. CX-010751: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Ready 2 CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Missouri Offices(s): Golden Field Office

  3. CX-004015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004015: Categorical Exclusion Determination Arizona Balance of State- Energy Efficiency and Conservation Block Grant Wickenburg CX(s) Applied:...

  4. CX-009555: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009555: Categorical Exclusion Determination Assisting the Tooling and Machining Industry to Become Energy Efficient CX(s) Applied: A9 Date: 12102012...

  5. CX-000835: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000835: Categorical Exclusion Determination Wachs Cutter Tooling Station (4495) CX(s) Applied: B1.31 Date: 02112010 Location(s): Oak Ridge,...

  6. CX-012310: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sawmill Creek Stream Bank Erosion CX(s) Applied: B1.3 Date: 06/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  7. CX-010338: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Fiber Interconnection CX(s) Applied: B4.7 Date: 05/21/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  8. CX-011531: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Targhee Substation Land Acquisition CX(s) Applied: B1.24 Date: 11/05/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  9. CX-010435: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    De Moss Substation Expansion CX(s) Applied: B4.6 Date: 06/03/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  10. CX-011384: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Advanced Controls for the Multi-pod Centipod Wave Energy Converter Device CX(s) Applied: A9 Date: 12022013 Location(s): California...

  11. CX-011537: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wanacut Creek Upper Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  12. CX-011538: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ninemile Creek Lower Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  13. CX-011536: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Aeneans Creek Spring Property Funding CX(s) Applied: B1.25 Date: 11/25/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  14. CX-011416: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11 Date: 12/19/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  15. CX-010778: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11 Date: 08/23/2013 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  16. CX-012472: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11, B3.11Date: 41873 Location(s): OhioOffices(s): National Energy Technology Laboratory

  17. CX-012038: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deepwater Reverse-Circulation Primary Cementing CX(s) Applied: A9 Date: 04/17/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  18. CX-010582: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Spring Creek Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  19. CX-003706: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Development and Demonstration of an Innovative Thermal Energy Storage System for Baseload Solar Power Generation CX(s) Applied: A9, B3.6...

  20. CX-004217: Categorical Exclusion Determination | Department of...

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

    Replacement Facets for Central Receiver Test Facility Heliostats at the National Solar Thermal Test Facility (American Recovery and Reinvestment Act Funded) CX(s) Applied:...

  1. CX-003222: Categorical Exclusion Determination | Department of...

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

    and Reinvestment Act State Energy Program - Eastern Oregon Correctional Institution Solar Thermal CX(s) Applied: B5.1 Date: 08032010 Location(s): Pendleton, Oregon...

  2. CX-004251: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    CX-004251: Categorical Exclusion Determination High Yield Hybrid Cellulosic Ethanol Process Using High-Impact Feedstock for Commercialization by 2013 CX(s) Applied: A9,...

  3. CX-003208: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003208: Categorical Exclusion Determination Michigan 85% Ethanol Fuel (E85) Infrastructure Project CX(s) Applied: B5.1 Date: 08032010 Location(s):...

  4. CX-003471: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003471: Categorical Exclusion Determination Pennsylvania Ethanol Fuel (E85) Corridor Project - Lew's Service Center CX(s) Applied: B5.1 Date: 0823...

  5. CX-011215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nepese Marsh Upgrades CX(s) Applied: B2.5 Date: 10/17/2013 Location(s): Illinois Offices(s): Fermi Site Office

  6. CX-008534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Peter Wentz Geothermal CX(s) Applied: B5.19 Date: 05/23/2012 Location(s): Pennsylvania Offices(s): Golden Field Office

  7. CX-008204: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Finch CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  8. CX-008203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Demoret CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  9. CX-009442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cutters Grove, Anoka CX(s) Applied: A9, B5.19 Date: 07/31/2012 Location(s): Minnesota Offices(s): Golden Field Office

  10. CX-007836: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building Retrofits CX(s) Applied: B5.19 Date: 01/30/2012 Location(s): Illinois Offices(s): Energy Efficiency and Renewable Energy

  11. CX-008241: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Teter CX(s) Applied: B5.19 Date: 05/15/2012 Location(s): Missouri Offices(s): Golden Field Office

  12. CX-008205: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Weaver CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  13. CX-010583: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Upper Jocko River Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  14. CX-007925: Categorical Exclusion Determination | Department of...

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

    Determination CX-007925: Categorical Exclusion Determination Severe Environment Corrosion and Erosion Research Facility CX(s) Applied: B3.6 Date: 02222012 Location(s):...

  15. CX-006048: Categorical Exclusion Determination | Department of...

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

    Determination CX-006048: Categorical Exclusion Determination Severe Environmental Corrosion & Erosion Research Facility (SECERF) CX(s) Applied: B3.6 Date: 06082011...

  16. CX-006395: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006395: Categorical Exclusion Determination Corrosion Tests on Carbon Steel Exposed to Oxalic Acid and a Sludge Simulant CX(s) Applied:...

  17. CX-005801: Categorical Exclusion Determination | Department of...

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

    Determination CX-005801: Categorical Exclusion Determination Polymer Synthesis, Corrosion, and Electrochemical Tests in Lab D-0115 CX(s) Applied: B3.6 Date: 03312011...

  18. CX-006043: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006043: Categorical Exclusion Determination CorrosionElectrochemistry Laboratory CX(s) Applied: B3.6 Date: 06082011 Location(s):...

  19. CX-005861: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005861: Categorical Exclusion Determination Pretreatment Engineering Platform (PEP) Sludge Simulant Preparation CX(s) Applied: B3.6 Date: 03172011...

  20. CX-011131: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Puget Sound Pilot Tidal Energy Project CX(s) Applied: A9 Date: 08/13/2013 Location(s): Washington Offices(s): Golden Field Office

  1. CX-012195: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alfalfa Substation Control House Replacement CX(s) Applied: B4.11 Date: 05/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  2. CX-008683: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shaniko Radio Station Replacement Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  3. CX-012790: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Haystack Butte Radio Site Land Acquisition CX(s) Applied: B1.24Date: 41939 Location(s): WashingtonOffices(s): Bonneville Power Administration

  4. CX-009698: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sale of Lakeside Radio Station CX(s) Applied: B1.24 Date: 12/27/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  5. CX-012231: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mica Peak Radio Station upgrade CX(s) Applied: B1.19 Date: 06/09/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  6. CX-011190: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alberton Communication Site Construction CX(s) Applied: B1.19 Date: 08/26/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  7. CX-002138: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002138: Categorical Exclusion Determination Waste Digester Biogas Recovery System CX(s) Applied: B5.1 Date: 04292010 Location(s): Plover, Wisconsin...

  8. CX-005444: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Energy Efficiency and Conservation Block Grant: Electric and Hybrid Vehicle Incremental Cost Recovery CX(s) Applied: B5.1 Date: 03222011 Location(s):...

  9. CX-012189: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Microbial Laboratory Analysis CX(s) Applied: B3.12 Date: 05/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  10. CX-009423: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Relay and Switchboard Panel Replacements CX(s) Applied: B4.6 Date: 10/29/2012 Location(s): Arkansas Offices(s): Southwestern Power Administration

  11. CX-010057: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Protective Relay Installation CX(s) Applied: B1.7 Date: 01/29/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  12. CX-008803: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Milling Machine Replacement Projects CX(s) Applied: B1.31 Date: 05/14/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  13. CX-011194: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Particle Physics Division Outback Garage CX(s) Applied: B1.15 Date: 09/19/2013 Location(s): Illinois Offices(s): Fermi Site Office

  14. CX-010772: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Water Security Test Bed (WSTB) CX(s) Applied: B3.6 Date: 07/17/2013 Location(s): Idaho Offices(s): Nuclear Energy

  15. CX-011679: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Antifoam Degradation Testing CX(s) Applied: B3.6 Date: 12/05/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  16. CX-012118: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hydro Research Foundation University Research Awards - Tufts CX(s) Applied: A9 Date: 05/21/2014 Location(s): Georgia Offices(s): Golden Field Office

  17. CX-012255: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Hydro Research Foundation University Research Awards - University of Washington CX(s) Applied: A9 Date: 05272014 Location(s): Washington...

  18. CX-010951: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Automotive Technology Analysis CX(s) Applied: A8 Date: 09/17/2013 Location(s): Virginia Offices(s): National Energy Technology Laboratory

  19. CX-001416: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001416: Categorical Exclusion Determination Integration of Solar Energy in the City of Boston's Emergency Preparedness Infrastructure CX(s) Applied:...

  20. CX-003569: Categorical Exclusion Determination | Department of...

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

    Determination Ohio Advanced Transportation Partnership - Pike Delta York Schools Propane Vehicle Fueling Station CX(s) Applied: B5.1 Date: 08242010 Location(s): Delta, Ohio...

  1. CX-006894: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Ohio Advanced Transportation PartnershipFrito Lay Cincinnati Propane Fueling Infrastructure CX(s) Applied: B5.1 Date: 09282011 Location(s): West...

  2. CX-009634: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Exclusion Determination CX-009634: Categorical Exclusion Determination Advanced Test Reactor (ATR) Transition to Commercial Power CX(s) Applied: B2.5 Date: 12052012...

  3. CX-007358: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Integration of the University of Oregon's Cogeneration Project CX(s) Applied: B1.7 Date: 12012011 Location(s): Oregon Offices(s):...

  4. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  5. CX-010588: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chehalis Substation Tree Clearing CX(s) Applied: B1.3 Date: 07/02/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  6. CX-008700: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Natapoc Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  7. CX-010155: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Augspurger Radio Tower Replacement Project CX(s) Applied: B1.19 Date: 04/03/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  8. CX-007866: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SunShot Massachusetts CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Massachusetts Offices(s): Golden Field Office

  9. CX-007856: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sacramento Regional Energy Alliance CX(s) Applied: B5.23 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  10. CX-004629: Categorical Exclusion Determination | Department of...

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

    Determination CX-004629: Categorical Exclusion Determination Seneca Nation of New York Energy Efficiency and Conservation Strategies CX(s) Applied: A1, A9, A11 Date: 1026...

  11. CX-005672: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Energy Systems Integration Facility Excavation Soil Stockpile CX(s) Applied: B1.15 Date: 04122011 Location(s): Golden, Colorado...

  12. CX-008264: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compressed Natural Gas Fueling Facility CX(s) Applied: A1 Date: 05/24/2012 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  13. CX-005249: Categorical Exclusion Determination | Department of...

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

    Wisconsin Clean Transportation Program - City of Milwaukee Ruby Avenue Compressed Natural Gas Infrastructure CX(s) Applied: B5.1 Date: 02152011 Location(s): Milwaukee,...

  14. CX-008468: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compressed Natural Gas Fueling Facility CX(s) Applied: A1 Date: 06/12/2012 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  15. CX-007382: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compressed Natural Gas Manufacturing CX(s) Applied: B5.1 Date: 10/26/2011 Location(s): Wisconsin Offices(s): Golden Field Office

  16. CX-006678: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Restoration of 54-TPX-10CX(s) Applied: B6.1Date: 01/19/2010Location(s): Casper, WyomingOffice(s): RMOTC

  17. CX-012463: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Reliable SOFC Systems CX(s) Applied: A9, B3.6Date: 41877 Location(s): ConnecticutOffices(s): National Energy Technology Laboratory

  18. CX-002168: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002168: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  19. CX-001403: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-001403: Categorical Exclusion Determination West New York Energy Efficiency Projects CX(s) Applied: B5.1 Date: 04092010 Location(s): West New...

  20. CX-009133: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-009133: Categorical Exclusion Determination New York Program Year 2012 Formula Grants - State Energy Program CX(s) Applied: A9, A11 Date:...

  1. CX-001636: Categorical Exclusion Determination | Department of...

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

    Determination CX-001636: Categorical Exclusion Determination Alexandria Bay, New York, Met Tower: General Services Administration Border Station CX(s) Applied: B3.1, A9...

  2. CX-002167: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002167: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  3. CX-006748: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006748: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  4. CX-007020: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-007020: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  5. CX-003465: Categorical Exclusion Determination | Department of...

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

    CX-003465: Categorical Exclusion Determination Vehicle Technologies Program Advanced Automotive Fuels Research, Development and Commercialization Cluster CX(s) Applied: A9, B2.2,...

  6. CX-005747: Categorical Exclusion Determination | Department of...

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

    Determination CX-005747: Categorical Exclusion Determination Biobased Materials Automotive Value Chain Market Development Analysis CX(s) Applied: A9 Date: 05042011...

  7. CX-006211: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Missouri Independent Energy Efficiency Program: Henniges Automotive - Process Air Compressor Upgrades CX(s) Applied: B5.1 Date: 07182011 Location(s):...

  8. CX-009210: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Silver Butte Fiber Burial Project CX(s) Applied: B.47 Date: 08/28/2012 Location(s): Montana, Montana Offices(s): Bonneville Power Administration

  9. CX-012054: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Catalyst Synthesis CX(s) Applied: B3.6 Date: 03/18/2014 Location(s): South Carolina Offices(s): Savannah River Operations Office

  10. CX-012117: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-012117: Categorical Exclusion Determination Fuel Cell Hybrid Walk-In Van Deployment Project CX(s) Applied: A9 Date: 05212014 Location(s):...

  11. CX-007517: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    UPF Mock Wall Project CX(s) Applied: B3.6 Date: 11/29/2011 Location(s): Tennessee Offices(s): Y-12 Site Office

  12. CX-004745: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Acquisition of a Conservation Easement for Fish Habitat Mitigation in Okanogan County, Washington CX(s) Applied: A7 Date: 12082010...

  13. CX-003908: Categorical Exclusion Determination | Department of...

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

    CX-003908: Categorical Exclusion Determination Fiscal Year 2010 Columbia Basin Fish Accords with Colville Confederated Tribes CX(s) Applied: B1.25 Date: 09082010...

  14. CX-012718: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Idaho State University Reactor Laboratory Modernization CX(s) Applied: B1.31Date: 41844 Location(s): IdahoOffices(s): Nuclear Energy

  15. CX-011642: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pantex Lake Land Utilization CX(s) Applied: B1.11 Date: 11/05/2013 Location(s): Texas Offices(s): Pantex Site Office

  16. CX-011634: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Closure Turf Installation CX(s) Applied: B6.1 Date: 08/27/2013 Location(s): Texas Offices(s): Pantex Site Office

  17. CX-008545: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Energy Evolution and Diffusion Studies CX(s) Applied: A9 Date: 06/19/2012 Location(s): CX: none Offices(s): Golden Field Office

  18. CX-004085: Categorical Exclusion Determination | Department of...

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

    Determination Project T-221, Hazardous Material Management and Emergency Response (HAMMER) Operations Building CX(s) Applied: B1.15 Date: 10082010 Location(s): Richmond,...

  19. CX-008535: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    King County Biogas and Nutrient Reduction CX(s) Applied: A9 Date: 05/22/2012 Location(s): Washington Offices(s): Golden Field Office

  20. CX-012247: Categorical Exclusion Determination | Department of...

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

    Determination CX-012247: Categorical Exclusion Determination Installation of Solar Photovoltaic Systems CX(s) Applied: A9, B5.16 Date: 06182014 Location(s): Wisconsin, Wisconsin...

  1. CX-008989: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    State Energy Program CX(s) Applied: A9, A11 Date: 08/27/2012 Location(s): Kansas Offices(s): Golden Field Office

  2. CX-006539: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006539: Categorical Exclusion Determination Boulder Wind Power Advanced Gearless Drivetrain CX(s) Applied: A9, B3.6 Date: 08252011 Location(s):...

  3. CX-009898: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009898: Categorical Exclusion Determination 25A1455 - CO2 Capture with Enzyme Synthetic Analogue CX(s) Applied: B3.6 Date: 12152009...

  4. CX-100018: Categorical Exclusion Determination | Department of...

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

    Determination Wind Generator Project CX(s) Applied: A9 Date: 08152014 Location(s): Michigan Offices(s): Golden Field Office Technology Office: Wind Program Award Number:...

  5. CX-009710: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009710: Categorical Exclusion Determination Spring Creek - Wine County No. 1 Transmission Tower Relocation CX(s) Applied: B4.6 Date: 11292012...

  6. CX-012317: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Performance Computing Upgrades CX(s) Applied: B1.31 Date: 06/16/2014 Location(s): Idaho Offices(s): Nuclear Energy

  7. CX-003506: Categorical Exclusion Determination | Department of...

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

    State Energy Program American Recovery and Reinvestment Act: Quantum Solar Photovoltaic Module Manufacturing Plant CX(s) Applied: B5.1 Date: 08302010 Location(s):...

  8. CX-000571: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-000571: Categorical Exclusion Determination Photovoltaic Panel Installation (Building 833, TA-I) CX(s) Applied: B5.1 Date: 12102009...

  9. CX-004002: Categorical Exclusion Determination | Department of...

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

    Determination Knoxville Solar America Cites - Knox Heritage, Incorporated Solar Photovoltaic and Solar Thermal Demonstration Installation CX(s) Applied: B5.1 Date: 09202010...

  10. CX-008563: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008563: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 06132012...

  11. CX-000924: Categorical Exclusion Determination | Department of...

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

    National Accreditation Certification Program for Installation and Acceptance of Photovoltaic Systems CX(s) Applied: A9 Date: 02232010 Location(s): New York Office(s): Energy...

  12. CX-004021: Categorical Exclusion Determination | Department of...

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

    Determination State Energy Program American Recovery and Reinvestment Act: Solaria Photovoltaic Manufacturing Facility CX(s) Applied: B5.1 Date: 10082010 Location(s): Fremont,...

  13. CX-007872: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007872: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  14. CX-007873: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007873: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  15. CX-009914: Categorical Exclusion Determination | Department of...

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

    Determination CX-009914: Categorical Exclusion Determination Plug & Play Solar Photovoltaic for American Homes CX(s) Applied: A9, B3.6 Date: 01282013 Location(s):...

  16. CX-000653: Categorical Exclusion Determination | Department of...

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

    Determination CX-000653: Categorical Exclusion Determination Helios - Project: Photovoltaic Crystalline Module Assembly Plant CX(s) Applied: B5.1 Date: 01272010 Location(s):...

  17. CX-007867: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007867: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.16 Date: 01272012...

  18. CX-005993: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005993: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.1 Date: 05262011...

  19. CX-010740: Categorical Exclusion Determination | Department of...

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

    CX-010740: Categorical Exclusion Determination Integration of Behind-the-Meter Photovoltaic Fleet Forecasts into Utility Grid System Operations CX(s) Applied: A9, A11 Date:...

  20. CX-001417: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Field Verification of High-Penetration Levels of Photovoltaic into the Distribution Grid with Advanced Power Conditioning Systems CX(s) Applied:...

  1. CX-001654: Categorical Exclusion Determination | Department of...

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

    Determination CX-001654: Categorical Exclusion Determination Burlington County Photovoltaic (PV) System CX(s) Applied: B5.1 Date: 04092010 Location(s): County of Burlington,...

  2. CX-003378: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003378: Categorical Exclusion Determination Photovoltaic Solar Cell Fabrication Alkaline Texturing Process Improvement CX(s) Applied: B3.6...

  3. CX-005385: Categorical Exclusion Determination | Department of...

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

    CX-005385: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Power Systems for Utility Power Generation -Sandia Site CX(s) Applied: B5.1 Date:...

  4. CX-009272: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building 94 Facade Restoration CX(s) Applied: B1.3 Date: 09/10/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  5. CX-010578: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Celilo Converter Station Upgrades CX(s) Applied: B4.11 Date: 07/25/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  6. CX-004957: Categorical Exclusion Determination | Department of...

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

    CX-004957: Categorical Exclusion Determination General Compression, Inc. -Fuel-Free, Ubiquitous, Compressed Air Energy Storage CX(s) Applied: B3.6 Date: 08142010...

  7. CX-011751: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination GreenLight Biosciences - Highly Productive Cell-free Bioconversion of Methane CX(s) Applied: B3.6 Date: 12122013 Location(s):...

  8. CX-006558: Categorical Exclusion Determination | Department of...

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

    Determination Geothennal Resource Development with Zero Mass Withdrawal, Engineered Free Convection, and Wellbore Energy Conversion CX(s) Applied: A9, B3.6 Date: 08242011...

  9. CX-002572: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Manufacturing and Commercialization of Energy Efficient Generators for Small Wind Turbines CX(s) Applied: A1, B5.1 Date: 05192010...

  10. CX-010237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pittsburgh Green Innovators Synergy Center CX(s) Applied: A9 Date: 02/28/2013 Location(s): Pennsylvania Offices(s): Golden Field Office

  11. CX-012110: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cowlitz Falls Fish Facility Access Agreement Extension CX(s) Applied: A2 Date: 04/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  12. CX-004249: Categorical Exclusion Determination | Department of...

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

    CX-004249: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Power Systems for Utility Power Generation CX(s) Applied: B5.1 Date: 10142010...

  13. CX-002511: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002511: Categorical Exclusion Determination Rhode Island Green Public Buildings Initiative CX(s) Applied: A9, B5.1 Date: 05282010 Location(s):...

  14. CX-000988: Categorical Exclusion Determination | Department of...

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

    988: Categorical Exclusion Determination CX-000988: Categorical Exclusion Determination Green Energy Works - Combined Heat and Power - Geisinger Medical Center CX(s) Applied: A9,...

  15. CX-002945: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002945: Categorical Exclusion Determination Pennsylvania Green Energy Works Targeted Grant - Native Energy Biogas Project CX(s) Applied: B1.15,...

  16. CX-007365: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007365: Categorical Exclusion Determination Integration of the Green Lane Energy Biogas Generator CX(s) Applied: B1.7 Date: 11172011 Location(s):...

  17. CX-008228: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-008228: Categorical Exclusion Determination Hydropower Energy Resource (HyPER) Harvester CX(s) Applied: A9 Date: 04112012 Location(s):...

  18. CX-003856: Categorical Exclusion Determination | Department of...

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

    Determination CX-003856: Categorical Exclusion Determination Road Prison Geothermal Earth Coupled Heating, Ventilation and Air Conditioning (HVAC) Upgrade CX(s) Applied: B5.1...

  19. CX-002034: Categorical Exclusion Determination | Department of...

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

    Determination CX-002034: Categorical Exclusion Determination Road Prison Geothermal Earth Coupled Heating, Ventilation, and Air Conditioning Upgrade CX(s) Applied: B3.1, A9...

  20. CX-010770: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wildland Fire Chainsaw Training CX(s) Applied: B1.2 Date: 08/01/2013 Location(s): Idaho Offices(s): Nuclear Energy

  1. CX-008341: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A-6 Office Building CX(s) Applied: B1.15 Date: 04/19/2012 Location(s): Pennsylvania Offices(s): Naval Nuclear Propulsion Program

  2. CX-003853: Categorical Exclusion Determination | Department of...

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

    Energy Efficiency and Conservation Block Grant (EECBG) - Sherman - Geothermal Heat Pump Installation CX(s) Applied: B5.1 Date: 09072010 Location(s): Sherman, Connecticut...

  3. CX-004925: Categorical Exclusion Determination | Department of...

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

    CX-004925: Categorical Exclusion Determination Material Methods - Phononic Heat Pump CX(s) Applied: B3.6 Date: 08132010 Location(s): Irvine, California Office(s):...

  4. CX-005651: Categorical Exclusion Determination | Department of...

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

    State Energy Program - Renewable Energy Incentives - Ennis Residence Open Loop Heat Pump System CX(s) Applied: B5.1 Date: 04282011 Location(s): Greenwood, Delaware...

  5. CX-003717: Categorical Exclusion Determination | Department of...

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

    CX-003717: Categorical Exclusion Determination Residential Ground Source Heat Pump Installation - Walter CX(s) Applied: B5.1 Date: 09152010 Location(s): Minnesota...

  6. CX-003715: Categorical Exclusion Determination | Department of...

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

    CX-003715: Categorical Exclusion Determination Residential Ground Source Heat Pump Installation - Staus CX(s) Applied: B5.1 Date: 09152010 Location(s): Minnesota...

  7. CX-001512: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Birmingham Recreation Center Ground Source Heat Pump Installation CX(s) Applied: A9, B5.1 Date: 04012010 Location(s): Birmingham,...

  8. CX-006083: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006083: Categorical Exclusion Determination Ground Source Heat Pump Installation - Lac Qui Parle County Courthouse, Minnesota CX(s) Applied: B5.1 Date:...

  9. CX-000907: Categorical Exclusion Determination | Department of...

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

    Determination Improved Design Tools for Surface Water and Standing Column Well Heat Pump Systems CX(s) Applied: A9 Date: 02242010 Location(s): Stillwater, Oklahoma...

  10. CX-004348: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination State Energy Program Residential Ground Source Heat Pump Installations (6) CX(s) Applied: B5.1 Date: 10272010 Location(s): Prior Lake,...

  11. CX-003986: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination State Energy Program Residential Ground Source Heat Pump Installation - Korf CX(s) Applied: B5.1 Date: 09212010 Location(s): Minnesota...

  12. CX-004545: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination State Energy Program - Residential Ground Source Heat Pump Installation - Dalager CX(s) Applied: B5.1 Date: 11242010 Location(s): Minnesota...

  13. CX-004539: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination State Energy Program - Residential Ground Source Heat Pump Installation - Binford, Eric CX(s) Applied: B5.1 Date: 11242010 Location(s):...

  14. CX-006201: Categorical Exclusion Determination | Department of...

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

    Tennessee Energy Efficient Schools Initiative Schools Initiative Ground Source Heat Pump Program (Phase 2 and 3 for Lawrence Public and South Lawrence) CX(s) Applied: A9,...

  15. CX-000906: Categorical Exclusion Determination | Department of...

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

    Determination Development of Design and Simulation Tool for Hybrid Geothermal Heat Pump System CX(s) Applied: A9 Date: 02242010 Location(s): Oklahoma City, Oklahoma...

  16. CX-004376: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination City of Woodward, Oklahoma Ground Source Heat Pump Project Beyond State Template CX(s) Applied: B5.1 Date: 11012010 Location(s):...

  17. CX-011214: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sensitive Instrument Facility CX(s) Applied: B3.6 Date: 07/10/2013 Location(s): Iowa Offices(s): Ames Site Office

  18. CX-009543: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sopogy Subcontract CX(s) Applied: A9, B5.15 Date: 11/28/2012 Location(s): Hawaii Offices(s): Golden Field Office

  19. CX-008571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Project Blue Energy CX(s) Applied: A9 Date: 06/20/2012 Location(s): Utah Offices(s): Golden Field Office

  20. CX-009579: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009579: Categorical Exclusion Determination Wind Turbine Installation for Town of Drummond CX(s) Applied: B5.18 Date: 12192012 Location(s):...