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Sample records for hecto deka deci

  1. So How Do THey DeciDe

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

    How Do THey DeciDe wHaT To Do aT THe iNL? nuclear energy Nuclear energy is a clean, safe, vital part of this country's energy mix. S takeholders frequently tell us they're ...

  2. Annual Site Environmental Report Paducah Site

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

    Report Paducah Site 2011 PAD-REG-1012 BACK TABLE OF CONTENTS FORWARD Fractions and Multiples of Units Multiple Decimal Equivalent Prefix Symbol Engineering Format 10 6 1,000,000 mega- M E+06 10 3 1,000 kilo- k E+03 10 2 100 hecto- h E+02 10 10 deka- da E+01 10 -1 0.1 deci- d E-01 10 -2 0.01 centi- c E-02 10 -3 0.001 milli- m E-03 10 -6 0.000001 micro- μ E-06 10 -9 0.000000001 nano- n E-09 10 -12 0.000000000001 pico- P E-12 10 -15 0.000000000000001 femto- F E-15 10 -18 0.000000000000000001 atto-

  3. Paducah Site Annual Site Environmental Report for Calendar Year 2012

    Energy Savers [EERE]

    Paducah Site Annual Site Environmental Report for Calendar Year 2012 Fractions and Multiples of Units Multiple Decimal Equivalent Prefix Symbol Engineering Format 10 6 1,000,000 mega- M E+06 10 3 1,000 kilo- k E+03 10 2 100 hecto- h E+02 10 10 deka- da E+01 10 -1 0.1 deci- d E-01 10 -2 0.01 centi- c E-02 10 -3 0.001 milli- m E-03 10 -6 0.000001 micro- μ E-06 10 -9 0.000000001 nano- n E-09 10 -12 0.000000000001 pico- P E-12 10 -15 0.000000000000001 femto- F E-15 10 -18 0.000000000000000001 atto-

  4. Structure Learning in Power Distribution Networks (Technical Report) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect in Power Distribution Networks Citation Details In-Document Search Title: Structure Learning in Power Distribution Networks Authors: Deka, Deepjyoti [1] ; Chertkov, Michael [2] ; Backhaus, Scott N. [2] + Show Author Affiliations Electrical & Computer Engineering, University of Texas at Austin Los Alamos National Laboratory Publication Date: 2015-01-13 OSTI Identifier: 1167238 Report Number(s): LA-UR-15-20213 DOE Contract Number: AC52-06NA25396 Resource Type: Technical

  5. Earned Value Management System RM

    Office of Environmental Management (EM)

    Review Module March 2010 CD-0 O Ea 0 OFFICE OF arned Va C CD-1 F ENVIRO Standard R alue Man Rev Critical Decis CD-2 M ONMENTAL Review Plan agement view Module sion (CD) Ap CD...

  6. CONCUR: AWARD FEE PLAN - FY15

    Office of Environmental Management (EM)

    as Facility Support Services Contract Award Fee Plan Contract Number DE-CI0000004 3 editorial or personnel changes may be made and implemented without being provided to the...

  7. Chapter 4: The Building Architectural Design

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

    : The Building Architectural Design Schematic Design Designing Using Computer Simulations Design of High Performance Features and Systems Designing for Daylighting Passive and Active Solar Systems Accommodating Recycling Activities LANL | Chapter 4 The Building Architectural Design Schematic Design Achieving a sustainable building requires a commitment from developing the initial F&OR documents through construction detailing and commissioning. Initial deci- sions, such as the building's

  8. Award Fee Evaluation Period 6 Determination Scorecard Contractor: Wastren-EnergX Mission Support, LLC

    Office of Environmental Management (EM)

    6 Determination Scorecard Contractor: Wastren-EnergX Mission Support, LLC Contract: DE-CI0000004 Award Fee Evaluation Period: Fiscal Year 2015 (October 1, 2014 to September 30, 2015) Basis of Evaluation: Award Fee Plan for Wastren-EnergX Mission Support, LLC Award Fee Evaluation Period 6 Categories of Performance: $1,435,629 Award Fee Available: $1,435,629 Award Fee Earned: $1,406,916 (98%) Categories of Performance Award Fee Award Fee Area Adjectival Ratings Award Fee Available: $1,435,629 1.

  9. Project Execution Plan RM

    Office of Environmental Management (EM)

    Project Execution Plan (PEP) Review Module March 2010 CD-0 O 0 OFFICE OF P C CD-1 F ENVIRO Standard R Project E Rev Critical Decis CD-2 M ONMENTAL Review Plan Execution view Module sion (CD) Ap CD March 2010 L MANAGE n (SRP) n Plan e pplicability D-3 EMENT CD-4 Post Ope eration Standard Review Plan, 2 nd Edition, March 2010 i FOREWORD The Standard Review Plan (SRP) 1 provides a consistent, predictable corporate review framework to ensure that issues and risks that could challenge the success of

  10. Quality Assurance for Critical Decision Reviews RM

    Office of Environmental Management (EM)

    Quality Assurance for Critical Decision Reviews Module March 2010 CD-0 O 0 OFFICE OF Q C CD-1 F ENVIRO Standard R Quality A Rev Critical Decis CD-2 M ONMENTAL Review Plan Assuranc view Module sion (CD) Ap CD March 2010 L MANAGE n (SRP) e (QA) e pplicability D-3 EMENT CD-4 Post Ope eration Standard Review Plan, 2 nd Edition, March 2010 i FOREWORD The Standard Review Plan (SRP) 1 provides a consistent, predictable corporate review framework to ensure that issues and risks that could challenge the

  11. Integrated Project Team RM

    Office of Environmental Management (EM)

    Integrated Project Team (IPT) Review Module March 2010 CD-0 This R O 0 Review Modul OFFICE OF Inte C CD-1 le was piloted F ENVIRO Standard R grated P Rev Critical Decis CD-2 M at the OR U 23 incorporated ONMENTAL Review Plan Project Te view Module sion (CD) Ap CD March 2010 33 Disposition in the Review L MANAGE n (SRP) eam (IPT e pplicability D-3 Project in 200 Module. EMENT T) CD-4 09. Lessons lea Post Ope arned have been eration n Standard Review Plan, 2 nd Edition, March 2010 i FOREWORD The

  12. National Environmental Policy Act RM

    Office of Environmental Management (EM)

    National Environmental Policy Act Review Module March 2010 CD- N -0 OFFICE O National E C CD-1 OF ENVIRO Standa Environm Rev Critical Deci CD-2 M ONMENTA ard Review mental P view Modul ision (CD) A C March 2010 AL MANAG Plan olicy Act le Applicability D-3 GEMENT t (NEPA) CD-4 ) Post Ope eration Standard Review Plan, 2 nd Edition, March 2010 i FOREWORD The Standard Review Plan (SRP) 1 provides a consistent, predictable corporate review framework to ensure that issues and risks that could

  13. Site: Contract Name: Contractor: Contract Number: Contract Type:

    Office of Environmental Management (EM)

    Contract Cost: Contract Base Period: Contract Option Period: Minimum Fee (Base Fee) Maximum Fee (Award Fee) Performance Period Award Fee Available Award Fee Earned FY2010 $359,179 $289,238 FY2011 $725,476 $573,169 FY2012 $1,479,652 $1,339,065 FY2013 $1,499,253 $1,319,342 FY2014 $1,556,035 $1,447,113 FY2015 $1,435,629 FY2016* $564,658 Cumulative Fee $7,619,882 $4,967,927 DE-CI0000004 Fee Information $7,619,882 EM Contractor Fee Portsmouth Paducah Project Office Portsmouth Facility Support

  14. PPPO Contracts | Department of Energy

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

    Contracts PPPO Contracts Award Fee Contracts: Portsmouth D&D Project Fluor-BWXT Portsmouth LLC (FBP); Contract: DE-AC30-10CC40017; Size/Status: Large Business [Expires 3/28/16 (w/5-yr opt.)] AWARD FEE INFO: FY15-16 Award Fee Plan | FY14 FBP Scorecard on Award Fee Portsmouth Infrastructure Support Services Wastren - EnergX Mission Support LLC (WEMS) Contract: DE-CI0000004; Size/Status: Small Business (Expires 1/25/16) AWARD FEE INFO: FY15 Award Fee Plan | FY14 WEMS Scorecard on Award Fee

  15. Efficiency of clay-TiO2 nanocomposites on the photocatalytic eliminationof a model hydrophobic air pollutant

    SciTech Connect (OSTI)

    Kibanova, Daria; Cervini-Silva, Javiera; Destaillats, Hugo

    2009-01-01

    Clay-supported TiO2 photocatalysts can potentially improve the performance of air treatment technologies via enhanced adsorption and reactivity of target volatile organic compounds (VOCs). In this study, a bench-top photocatalytic flow reactor was used to evaluate the efficiency of hectorite-TiO2 and kaolinite-TiO2, two novel composite materials synthesized in our laboratory. Toluene, a model hydrophobic VOC and a common indoor air pollutant, was introduced in the air stream at realistic concentrations, and reacted under UVA (gamma max = 365 nm) or UVC (gamma max = 254 nm) irradiation. The UVC lamp generated secondary emission at 185 nm, leading to the formation of ozone and other short-lived reactive species. Performance of clay-TiO2 composites was compared with that of pure TiO2 (Degussa P25), and with UV irradiation in the absence of photocatalyst under identical conditions. Films of clay-TiO2 composites and of P25 were prepared by a dip-coating method on the surface of Raschig rings, which were placed inside the flow reactor. An upstream toluene concentration of ~;;170 ppbv was generated by diluting a constant flow of toluene vapor from a diffusion source with dry air, or with humid air at 10, 33 and 66percent relative humidity (RH). Toluene concentrations were determined by collecting Tenax-TA (R) sorbent tubes downstream of the reactor, with subsequent thermal desorption -- GC/MS analysis. The fraction of toluene removed, percentR, and the reaction rate, Tr, were calculated for each experimental condition from the concentration changes measured with and without UV irradiation. Use of UVC light (UV/TiO2/O3) led to overall higher reactivity, which can be partially attributed to the contribution of gas phase reactions by short-lived radical species. When the reaction rate was normalized to the light irradiance, Tr/I gamma, the UV/TiO2 reaction under UVA irradiation was more efficient for samples with a higher content of TiO2 (P25 and Hecto-TiO2), but not for Kao-TiO2. In all cases, reaction rates peaked at 10percent RH, with Tr values between 10 and 50percent higher than those measured under dry air. However, a net inhibition was observed as RH increased to 33percent and 66percent, indicating that water molecules competed effectively with toluene for reactive surface sites and limited the overall photocatalytic conversion. Compared to P25, inhibition by co-adsorbed water was less significant for Kao-TiO2 samples, but was more dramatic for Hecto-TiO2 due to the high water uptake capacity of hectorite.

  16. Distributed Sensor Coordination for Advanced Energy Systems

    SciTech Connect (OSTI)

    Tumer, Kagan

    2013-07-31

    The ability to collect key system level information is critical to the safe, efficient and reli- able operation of advanced energy systems. With recent advances in sensor development, it is now possible to push some level of decision making directly to computationally sophisticated sensors, rather than wait for data to arrive to a massive centralized location before a decision is made. This type of approach relies on networked sensors (called agents from here on) to actively collect and process data, and provide key control deci- sions to significantly improve both the quality/relevance of the collected data and the as- sociating decision making. The technological bottlenecks for such sensor networks stem from a lack of mathematics and algorithms to manage the systems, rather than difficulties associated with building and deploying them. Indeed, traditional sensor coordination strategies do not provide adequate solutions for this problem. Passive data collection methods (e.g., large sensor webs) can scale to large systems, but are generally not suited to highly dynamic environments, such as ad- vanced energy systems, where crucial decisions may need to be reached quickly and lo- cally. Approaches based on local decisions on the other hand cannot guarantee that each agent performing its task (maximize an agent objective) will lead to good network wide solution (maximize a network objective) without invoking cumbersome coordination rou- tines. There is currently a lack of algorithms that will enable self-organization and blend the efficiency of local decision making with the system level guarantees of global decision making, particularly when the systems operate in dynamic and stochastic environments. In this work we addressed this critical gap and provided a comprehensive solution to the problem of sensor coordination to ensure the safe, reliable, and robust operation of advanced energy systems. The differentiating aspect of the proposed work is in shift- ing the focus towards what to observe rather than how to observe in large sensor networks, allowing the agents to actively determine both the structure of the network and the relevance of the information they are seeking to collect. In addition to providing an implicit coordination mechanism, this approach allows the system to be reconfigured in response to changing needs (e.g., sudden external events requiring new responses) or changing sensor network characteristics (e.g., sudden changes to plant condition). Outcome Summary: All milestones associated with this project have been completed. In particular, private sensor objective functions were developed which are aligned with the global objective function, sensor effectiveness has been improved by using sensor teams, system efficiency has been improved by 30% using difference evaluation func- tions, we have demonstrated system reconfigurability for 20% changes in system con- ditions, we have demonstrated extreme scalability of our proposed algorithm, we have demonstrated that sensor networks can overcome disruptions of up to 20% in network conditions, and have demonstrated system reconfigurability to 20% changes in system conditions in hardware-based simulations. This final report summarizes how each of these milestones was achieved, and gives insight into future research possibilities past the work which has been completed. The following publications support these milestones [6, 8, 9, 10, 16, 18, 19].